From 2139667ec419cdd953987f4df2ace9da87bbda28 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Tue, 21 Jan 2025 08:48:13 +0200 Subject: [PATCH 001/162] metal : fix out-of-bounds write (#11314) ggml-ci --- ggml/src/ggml-metal/ggml-metal.metal | 31 +++++++++++++++------------- 1 file changed, 17 insertions(+), 14 deletions(-) diff --git a/ggml/src/ggml-metal/ggml-metal.metal b/ggml/src/ggml-metal/ggml-metal.metal index 8ba43904d..44f04c909 100644 --- a/ggml/src/ggml-metal/ggml-metal.metal +++ b/ggml/src/ggml-metal/ggml-metal.metal @@ -4416,7 +4416,6 @@ void kernel_mul_mv_q2_K_f32_impl( device const half * dh = &x[ib].d; for (int row = 0; row < N_DST; row++) { - float4 acc1 = {0.f, 0.f, 0.f, 0.f}; float4 acc2 = {0.f, 0.f, 0.f, 0.f}; for (int i = 0; i < 8; i += 2) { @@ -4447,7 +4446,7 @@ void kernel_mul_mv_q2_K_f32_impl( device float * dst_f32 = (device float *) dst + (uint64_t)im*args.ne0*args.ne1 + (uint64_t)r1*args.ne0; - for (int row = 0; row < N_DST; ++row) { + for (int row = 0; row < N_DST && first_row + row < args.ne0; ++row) { all_sum = simd_sum(sumf[row]); if (tiisg == 0) { dst_f32[first_row + row] = all_sum; @@ -4613,7 +4612,7 @@ void kernel_mul_mv_q3_K_f32_impl( device float * dst_f32 = (device float *) dst + (uint64_t)im*args.ne0*args.ne1 + (uint64_t)r1*args.ne0; if (tiisg == 0) { - for (int row = 0; row < 2; ++row) { + for (int row = 0; row < 2 && first_row + row < args.ne0; ++row) { dst_f32[first_row + row] = sumf1[row]; } } @@ -4729,7 +4728,7 @@ void kernel_mul_mv_q4_K_f32_impl( device float * dst_f32 = (device float *) dst + (int64_t)im*args.ne0*args.ne1 + (int64_t)r1*args.ne0; - for (int row = 0; row < N_DST; ++row) { + for (int row = 0; row < N_DST && first_row + row < args.ne0; ++row) { all_sum = simd_sum(sumf[row]); if (tiisg == 0) { dst_f32[first_row + row] = all_sum; @@ -4861,7 +4860,7 @@ void kernel_mul_mv_q5_K_f32_impl( device float * dst_f32 = (device float *) dst + (uint64_t)im*args.ne0*args.ne1 + (uint64_t)r1*args.ne0; - for (int row = 0; row < 2; ++row) { + for (int row = 0; row < 2 && first_row + row < args.ne0; ++row) { const float tot = simd_sum(sumf[row]); if (tiisg == 0) { dst_f32[first_row + row] = tot; @@ -4906,6 +4905,10 @@ void kernel_mul_mv_q6_K_f32_impl( const int row = 2*r0 + sgitg; + if (row >= args.ne0) { + return; + } + const uint i12 = im%args.ne12; const uint i13 = im/args.ne12; @@ -5061,7 +5064,7 @@ void kernel_mul_mv_iq2_xxs_f32_impl( device float * dst_f32 = (device float *) dst + (uint64_t)im*args.ne0*args.ne1 + (uint64_t)r1*args.ne0; - for (int row = 0; row < N_DST; ++row) { + for (int row = 0; row < N_DST && first_row + row < args.ne0; ++row) { all_sum = simd_sum(sumf[row]); if (tiisg == 0) { dst_f32[first_row + row] = all_sum * 0.25f; @@ -5179,7 +5182,7 @@ void kernel_mul_mv_iq2_xs_f32_impl( device float * dst_f32 = (device float *) dst + (uint64_t)im*args.ne0*args.ne1 + (uint64_t)r1*args.ne0; - for (int row = 0; row < N_DST; ++row) { + for (int row = 0; row < N_DST && first_row + row < args.ne0; ++row) { all_sum = simd_sum(sumf[row]); if (tiisg == 0) { dst_f32[first_row + row] = all_sum * 0.25f; @@ -5289,7 +5292,7 @@ void kernel_mul_mv_iq3_xxs_f32_impl( device float * dst_f32 = (device float *) dst + (uint64_t)im*args.ne0*args.ne1 + (uint64_t)r1*args.ne0; - for (int row = 0; row < N_DST; ++row) { + for (int row = 0; row < N_DST && first_row + row < args.ne0; ++row) { all_sum = simd_sum(sumf[row]); if (tiisg == 0) { dst_f32[first_row + row] = all_sum * 0.5f; @@ -5401,7 +5404,7 @@ void kernel_mul_mv_iq3_s_f32_impl( device float * dst_f32 = (device float *) dst + (uint64_t)im*args.ne0*args.ne1 + (uint64_t)r1*args.ne0; - for (int row = 0; row < N_DST; ++row) { + for (int row = 0; row < N_DST && first_row + row < args.ne0; ++row) { all_sum = simd_sum(sumf[row]); if (tiisg == 0) { dst_f32[first_row + row] = all_sum; @@ -5514,7 +5517,7 @@ void kernel_mul_mv_iq2_s_f32_impl( device float * dst_f32 = (device float *) dst + (uint64_t)im*args.ne0*args.ne1 + (uint64_t)r1*args.ne0; - for (int row = 0; row < N_DST; ++row) { + for (int row = 0; row < N_DST && first_row + row < args.ne0; ++row) { all_sum = simd_sum(sumf[row]); if (tiisg == 0) { dst_f32[first_row + row] = all_sum * 0.25f; @@ -5614,7 +5617,7 @@ void kernel_mul_mv_iq1_s_f32_impl( device float * dst_f32 = (device float *) dst + (uint64_t)im*args.ne0*args.ne1 + (uint64_t)r1*args.ne0; - for (int row = 0; row < N_DST; ++row) { + for (int row = 0; row < N_DST && first_row + row < args.ne0; ++row) { all_sum = simd_sum(sumf[row]); if (tiisg == 0) { dst_f32[first_row + row] = all_sum; @@ -5709,7 +5712,7 @@ void kernel_mul_mv_iq1_m_f32_impl( device float * dst_f32 = (device float *) dst + (uint64_t)im*args.ne0*args.ne1 + (uint64_t)r1*args.ne0; - for (int row = 0; row < N_DST; ++row) { + for (int row = 0; row < N_DST && first_row + row < args.ne0; ++row) { all_sum = simd_sum(sumf[row]); if (tiisg == 0) { dst_f32[first_row + row] = all_sum; @@ -5799,7 +5802,7 @@ void kernel_mul_mv_iq4_nl_f32_impl( device float * dst_f32 = (device float *) dst + (uint64_t)im*args.ne0*args.ne1 + (uint64_t)r1*args.ne0; - for (int row = 0; row < 2 && first_row + row < args.ne01; ++row) { + for (int row = 0; row < 2 && first_row + row < args.ne0; ++row) { all_sum = simd_sum(sumf[row]); if (tiisg == 0) { dst_f32[first_row + row] = all_sum; @@ -5888,7 +5891,7 @@ void kernel_mul_mv_iq4_xs_f32_impl( device float * dst_f32 = (device float *) dst + (uint64_t)im*args.ne0*args.ne1 + (uint64_t)r1*args.ne0; - for (int row = 0; row < 2; ++row) { + for (int row = 0; row < 2 && first_row + row < args.ne0; ++row) { all_sum = simd_sum(sumf[row]); if (tiisg == 0) { dst_f32[first_row + row] = all_sum; From 2e2f8f093cd4fb6bbb87ba84f6b9684fa082f3fa Mon Sep 17 00:00:00 2001 From: Eric Curtin Date: Tue, 21 Jan 2025 09:32:35 +0000 Subject: [PATCH 002/162] linenoise.cpp refactoring (#11301) More RAII mainly Signed-off-by: Eric Curtin --- examples/run/linenoise.cpp/linenoise.cpp | 273 +++++++++++------------ examples/run/linenoise.cpp/linenoise.h | 22 +- 2 files changed, 154 insertions(+), 141 deletions(-) diff --git a/examples/run/linenoise.cpp/linenoise.cpp b/examples/run/linenoise.cpp/linenoise.cpp index 050c23012..a68f12a1a 100644 --- a/examples/run/linenoise.cpp/linenoise.cpp +++ b/examples/run/linenoise.cpp/linenoise.cpp @@ -103,24 +103,26 @@ * */ -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include "linenoise.h" +# include "linenoise.h" -#define LINENOISE_DEFAULT_HISTORY_MAX_LEN 100 -#define LINENOISE_MAX_LINE 4096 -static std::vector unsupported_term = {"dumb","cons25","emacs",nullptr}; +# include +# include +# include +# include +# include +# include +# include +# include +# include +# include + +# include +# include +# include + +# define LINENOISE_DEFAULT_HISTORY_MAX_LEN 100 +# define LINENOISE_MAX_LINE 4096 +static std::vector unsupported_term = { "dumb", "cons25", "emacs" }; static linenoiseCompletionCallback *completionCallback = NULL; static linenoiseHintsCallback *hintsCallback = NULL; static linenoiseFreeHintsCallback *freeHintsCallback = NULL; @@ -166,21 +168,58 @@ int linenoiseHistoryAdd(const char *line); #define REFRESH_ALL (REFRESH_CLEAN|REFRESH_WRITE) // Do both. static void refreshLine(struct linenoiseState *l); +class File { + public: + FILE * file = nullptr; + + FILE * open(const std::string & filename, const char * mode) { + file = fopen(filename.c_str(), mode); + + return file; + } + + int lock() { + if (file) { + fd = fileno(file); + if (flock(fd, LOCK_EX | LOCK_NB) != 0) { + fd = -1; + + return 1; + } + } + + return 0; + } + + ~File() { + if (fd >= 0) { + flock(fd, LOCK_UN); + } + + if (file) { + fclose(file); + } + } + + private: + int fd = -1; +}; + __attribute__((format(printf, 1, 2))) /* Debugging function. */ #if 0 static void lndebug(const char *fmt, ...) { - static FILE *lndebug_fp = NULL; - if (lndebug_fp == NULL) { - lndebug_fp = fopen("/tmp/lndebug.txt", "a"); + static File file; + if (file.file == nullptr) { + file.open("/tmp/lndebug.txt", "a"); } - if (lndebug_fp != NULL) { + if (file.file != nullptr) { va_list args; va_start(args, fmt); - vfprintf(lndebug_fp, fmt, args); + vfprintf(file.file, fmt, args); va_end(args); - fflush(lndebug_fp); + fflush(file.file); } } #else @@ -213,8 +252,11 @@ void linenoiseSetMultiLine(int ml) { static int isUnsupportedTerm(void) { char *term = getenv("TERM"); if (term == NULL) return 0; - for (int j = 0; unsupported_term[j]; ++j) - if (!strcasecmp(term, unsupported_term[j])) return 1; + for (size_t j = 0; j < unsupported_term.size(); ++j) { + if (!strcasecmp(term, unsupported_term[j])) { + return 1; + } + } return 0; } @@ -334,17 +376,6 @@ static void linenoiseBeep(void) { fflush(stderr); } -/* ============================== Completion ================================ */ - -/* Free a list of completion option populated by linenoiseAddCompletion(). */ -static void freeCompletions(linenoiseCompletions *lc) { - size_t i; - for (i = 0; i < lc->len; i++) - free(lc->cvec[i]); - if (lc->cvec != NULL) - free(lc->cvec); -} - /* Called by completeLine() and linenoiseShow() to render the current * edited line with the proposed completion. If the current completion table * is already available, it is passed as second argument, otherwise the @@ -353,9 +384,9 @@ static void freeCompletions(linenoiseCompletions *lc) { * Flags are the same as refreshLine*(), that is REFRESH_* macros. */ static void refreshLineWithCompletion(struct linenoiseState *ls, linenoiseCompletions *lc, int flags) { /* Obtain the table of completions if the caller didn't provide one. */ - linenoiseCompletions ctable = { 0, NULL }; + linenoiseCompletions ctable; if (lc == NULL) { - completionCallback(ls->buf,&ctable); + completionCallback(ls->buf, &ctable); lc = &ctable; } @@ -364,16 +395,17 @@ static void refreshLineWithCompletion(struct linenoiseState *ls, linenoiseComple struct linenoiseState saved = *ls; ls->len = ls->pos = strlen(lc->cvec[ls->completion_idx]); ls->buf = lc->cvec[ls->completion_idx]; - refreshLineWithFlags(ls,flags); + refreshLineWithFlags(ls, flags); ls->len = saved.len; ls->pos = saved.pos; ls->buf = saved.buf; } else { - refreshLineWithFlags(ls,flags); + refreshLineWithFlags(ls, flags); } - /* Free the completions table if needed. */ - if (lc != &ctable) freeCompletions(&ctable); + if (lc == &ctable) { + ctable.to_free = false; + } } /* This is an helper function for linenoiseEdit*() and is called when the @@ -391,11 +423,11 @@ static void refreshLineWithCompletion(struct linenoiseState *ls, linenoiseComple * possible completions, and the caller should read for the next characters * from stdin. */ static int completeLine(struct linenoiseState *ls, int keypressed) { - linenoiseCompletions lc = { 0, NULL }; + linenoiseCompletions lc; int nwritten; char c = keypressed; - completionCallback(ls->buf,&lc); + completionCallback(ls->buf, &lc); if (lc.len == 0) { linenoiseBeep(); ls->in_completion = 0; @@ -406,7 +438,7 @@ static int completeLine(struct linenoiseState *ls, int keypressed) { ls->in_completion = 1; ls->completion_idx = 0; } else { - ls->completion_idx = (ls->completion_idx+1) % (lc.len+1); + ls->completion_idx = (ls->completion_idx + 1) % (lc.len + 1); if (ls->completion_idx == lc.len) linenoiseBeep(); } c = 0; @@ -420,8 +452,7 @@ static int completeLine(struct linenoiseState *ls, int keypressed) { default: /* Update buffer and return */ if (ls->completion_idx < lc.len) { - nwritten = snprintf(ls->buf,ls->buflen,"%s", - lc.cvec[ls->completion_idx]); + nwritten = snprintf(ls->buf, ls->buflen, "%s", lc.cvec[ls->completion_idx]); ls->len = ls->pos = nwritten; } ls->in_completion = 0; @@ -430,13 +461,12 @@ static int completeLine(struct linenoiseState *ls, int keypressed) { /* Show completion or original buffer */ if (ls->in_completion && ls->completion_idx < lc.len) { - refreshLineWithCompletion(ls,&lc,REFRESH_ALL); + refreshLineWithCompletion(ls, &lc, REFRESH_ALL); } else { refreshLine(ls); } } - freeCompletions(&lc); return c; /* Return last read character */ } @@ -462,53 +492,25 @@ void linenoiseSetFreeHintsCallback(linenoiseFreeHintsCallback *fn) { * user typed . See the example.c source code for a very easy to * understand example. */ void linenoiseAddCompletion(linenoiseCompletions *lc, const char *str) { - size_t len = strlen(str); - char *copy, **cvec; - - copy = (char*) malloc(len + 1); - if (copy == NULL) return; - memcpy(copy,str,len+1); - cvec = (char**) realloc(lc->cvec,sizeof(char*)*(lc->len+1)); - if (cvec == NULL) { - free(copy); + const size_t len = strlen(str); + auto copy = std::make_unique(len + 1); + if (!copy) { return; } + + memcpy(copy.get(), str, len + 1); + char ** cvec = static_cast(std::realloc(lc->cvec, sizeof(char *) * (lc->len + 1))); + if (cvec == nullptr) { + return; + } + lc->cvec = cvec; - lc->cvec[lc->len++] = copy; -} - -/* =========================== Line editing ================================= */ - -/* We define a very simple "append buffer" structure, that is an heap - * allocated string where we can append to. This is useful in order to - * write all the escape sequences in a buffer and flush them to the standard - * output in a single call, to avoid flickering effects. */ -struct abuf { - char *b; - int len; -}; - -static void abInit(struct abuf *ab) { - ab->b = NULL; - ab->len = 0; -} - -static void abAppend(struct abuf *ab, const char *s, int len) { - char *new_ptr = (char*) realloc(ab->b,ab->len+len); - - if (new_ptr == NULL) return; - memcpy(new_ptr+ab->len,s,len); - ab->b = new_ptr; - ab->len += len; -} - -static void abFree(struct abuf *ab) { - free(ab->b); + lc->cvec[lc->len++] = copy.release(); } /* Helper of refreshSingleLine() and refreshMultiLine() to show hints * to the right of the prompt. */ -static void refreshShowHints(struct abuf * ab, struct linenoiseState * l, int plen) { +static void refreshShowHints(std::string & ab, struct linenoiseState * l, int plen) { char seq[64]; if (hintsCallback && plen+l->len < l->cols) { int color = -1, bold = 0; @@ -522,10 +524,11 @@ static void refreshShowHints(struct abuf * ab, struct linenoiseState * l, int pl snprintf(seq,64,"\033[%d;%d;49m",bold,color); else seq[0] = '\0'; - abAppend(ab,seq,strlen(seq)); - abAppend(ab,hint,hintlen); + ab.append(seq); + ab.append(hint, hintlen); if (color != -1 || bold != 0) - abAppend(ab,"\033[0m",4); + ab.append("\033[0m"); + /* Call the function to free the hint returned. */ if (freeHintsCallback) freeHintsCallback(hint); } @@ -546,8 +549,7 @@ static void refreshSingleLine(struct linenoiseState *l, int flags) { char *buf = l->buf; size_t len = l->len; size_t pos = l->pos; - struct abuf ab; - + std::string ab; while((plen+pos) >= l->cols) { buf++; len--; @@ -557,35 +559,34 @@ static void refreshSingleLine(struct linenoiseState *l, int flags) { len--; } - abInit(&ab); /* Cursor to left edge */ snprintf(seq,sizeof(seq),"\r"); - abAppend(&ab,seq,strlen(seq)); + ab.append(seq); if (flags & REFRESH_WRITE) { /* Write the prompt and the current buffer content */ - abAppend(&ab,l->prompt,strlen(l->prompt)); + ab.append(l->prompt); if (maskmode == 1) { - while (len--) abAppend(&ab,"*",1); + while (len--) { + ab.append("*"); + } } else { - abAppend(&ab,buf,len); + ab.append(buf, len); } /* Show hits if any. */ - refreshShowHints(&ab,l,plen); + refreshShowHints(ab, l, plen); } /* Erase to right */ snprintf(seq,sizeof(seq),"\x1b[0K"); - abAppend(&ab,seq,strlen(seq)); - + ab.append(seq); if (flags & REFRESH_WRITE) { /* Move cursor to original position. */ snprintf(seq,sizeof(seq),"\r\x1b[%dC", (int)(pos+plen)); - abAppend(&ab,seq,strlen(seq)); + ab.append(seq); } - if (write(fd,ab.b,ab.len) == -1) {} /* Can't recover from write error. */ - abFree(&ab); + (void) !write(fd, ab.c_str(), ab.size()); /* Can't recover from write error. */ } /* Multi line low level line refresh. @@ -604,26 +605,23 @@ static void refreshMultiLine(struct linenoiseState *l, int flags) { int col; /* colum position, zero-based. */ int old_rows = l->oldrows; int fd = l->ofd, j; - struct abuf ab; - + std::string ab; l->oldrows = rows; /* First step: clear all the lines used before. To do so start by * going to the last row. */ - abInit(&ab); - if (flags & REFRESH_CLEAN) { if (old_rows-rpos > 0) { lndebug("go down %d", old_rows-rpos); snprintf(seq,64,"\x1b[%dB", old_rows-rpos); - abAppend(&ab,seq,strlen(seq)); + ab.append(seq); } /* Now for every row clear it, go up. */ for (j = 0; j < old_rows-1; j++) { lndebug("clear+up"); snprintf(seq,64,"\r\x1b[0K\x1b[1A"); - abAppend(&ab,seq,strlen(seq)); + ab.append(seq); } } @@ -631,21 +629,22 @@ static void refreshMultiLine(struct linenoiseState *l, int flags) { /* Clean the top line. */ lndebug("clear"); snprintf(seq,64,"\r\x1b[0K"); - abAppend(&ab,seq,strlen(seq)); + ab.append(seq); } if (flags & REFRESH_WRITE) { /* Write the prompt and the current buffer content */ - abAppend(&ab,l->prompt,strlen(l->prompt)); + ab.append(l->prompt); if (maskmode == 1) { - unsigned int i; - for (i = 0; i < l->len; i++) abAppend(&ab,"*",1); + for (unsigned int i = 0; i < l->len; ++i) { + ab.append("*"); + } } else { - abAppend(&ab,l->buf,l->len); + ab.append(l->buf, l->len); } /* Show hits if any. */ - refreshShowHints(&ab,l,plen); + refreshShowHints(ab, l, plen); /* If we are at the very end of the screen with our prompt, we need to * emit a newline and move the prompt to the first column. */ @@ -654,9 +653,9 @@ static void refreshMultiLine(struct linenoiseState *l, int flags) { (l->pos+plen) % l->cols == 0) { lndebug(""); - abAppend(&ab,"\n",1); + ab.append("\n"); snprintf(seq,64,"\r"); - abAppend(&ab,seq,strlen(seq)); + ab.append(seq); rows++; if (rows > (int)l->oldrows) l->oldrows = rows; } @@ -669,7 +668,7 @@ static void refreshMultiLine(struct linenoiseState *l, int flags) { if (rows-rpos2 > 0) { lndebug("go-up %d", rows-rpos2); snprintf(seq,64,"\x1b[%dA", rows-rpos2); - abAppend(&ab,seq,strlen(seq)); + ab.append(seq); } /* Set column. */ @@ -679,14 +678,12 @@ static void refreshMultiLine(struct linenoiseState *l, int flags) { snprintf(seq,64,"\r\x1b[%dC", col); else snprintf(seq,64,"\r"); - abAppend(&ab,seq,strlen(seq)); + ab.append(seq); } lndebug("\n"); l->oldpos = l->pos; - - if (write(fd,ab.b,ab.len) == -1) {} /* Can't recover from write error. */ - abFree(&ab); + (void) !write(fd, ab.c_str(), ab.size()); /* Can't recover from write error. */ } /* Calls the two low level functions refreshSingleLine() or @@ -1313,16 +1310,17 @@ int linenoiseHistorySetMaxLen(int len) { * otherwise -1 is returned. */ int linenoiseHistorySave(const char *filename) { mode_t old_umask = umask(S_IXUSR|S_IRWXG|S_IRWXO); - FILE *fp; - int j; - - fp = fopen(filename,"w"); + File file; + file.open(filename, "w"); umask(old_umask); - if (fp == NULL) return -1; + if (file.file == NULL) { + return -1; + } chmod(filename,S_IRUSR|S_IWUSR); - for (j = 0; j < history_len; j++) - fprintf(fp,"%s\n",history[j]); - fclose(fp); + for (int j = 0; j < history_len; ++j) { + fprintf(file.file, "%s\n", history[j]); + } + return 0; } @@ -1332,12 +1330,14 @@ int linenoiseHistorySave(const char *filename) { * If the file exists and the operation succeeded 0 is returned, otherwise * on error -1 is returned. */ int linenoiseHistoryLoad(const char *filename) { - FILE *fp = fopen(filename,"r"); + File file; + file.open(filename, "r"); char buf[LINENOISE_MAX_LINE]; + if (file.file == NULL) { + return -1; + } - if (fp == NULL) return -1; - - while (fgets(buf,LINENOISE_MAX_LINE,fp) != NULL) { + while (fgets(buf, LINENOISE_MAX_LINE, file.file) != NULL) { char *p; p = strchr(buf,'\r'); @@ -1345,7 +1345,6 @@ int linenoiseHistoryLoad(const char *filename) { if (p) *p = '\0'; linenoiseHistoryAdd(buf); } - fclose(fp); return 0; } #endif diff --git a/examples/run/linenoise.cpp/linenoise.h b/examples/run/linenoise.cpp/linenoise.h index 3e25f4de3..a14ec6c74 100644 --- a/examples/run/linenoise.cpp/linenoise.h +++ b/examples/run/linenoise.cpp/linenoise.h @@ -45,6 +45,7 @@ extern "C" { #endif #include /* For size_t. */ +#include extern const char *linenoiseEditMore; @@ -69,10 +70,23 @@ struct linenoiseState { int history_index; /* The history index we are currently editing. */ }; -typedef struct linenoiseCompletions { - size_t len; - char **cvec; -} linenoiseCompletions; +struct linenoiseCompletions { + size_t len = 0; + char ** cvec = nullptr; + bool to_free = true; + + ~linenoiseCompletions() { + if (!to_free) { + return; + } + + for (size_t i = 0; i < len; ++i) { + free(cvec[i]); + } + + free(cvec); + } +}; /* Non blocking API. */ int linenoiseEditStart(struct linenoiseState *l, int stdin_fd, int stdout_fd, char *buf, size_t buflen, const char *prompt); From 6da5bec81c34f3b8a8f1b367cf23ad016e83d332 Mon Sep 17 00:00:00 2001 From: Radoslav Gerganov Date: Tue, 21 Jan 2025 15:06:41 +0200 Subject: [PATCH 003/162] rpc : better caching of the base buffer pointer (#11331) There is no need to use map, just store the base pointer in the buffer context. --- ggml/src/ggml-rpc/ggml-rpc.cpp | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/ggml/src/ggml-rpc/ggml-rpc.cpp b/ggml/src/ggml-rpc/ggml-rpc.cpp index 63da2b86b..3d0c46578 100644 --- a/ggml/src/ggml-rpc/ggml-rpc.cpp +++ b/ggml/src/ggml-rpc/ggml-rpc.cpp @@ -181,7 +181,7 @@ struct ggml_backend_rpc_context { struct ggml_backend_rpc_buffer_context { std::shared_ptr sock; - std::unordered_map base_cache; + void * base_ptr; uint64_t remote_ptr; }; @@ -423,16 +423,15 @@ static void ggml_backend_rpc_buffer_free_buffer(ggml_backend_buffer_t buffer) { static void * ggml_backend_rpc_buffer_get_base(ggml_backend_buffer_t buffer) { ggml_backend_rpc_buffer_context * ctx = (ggml_backend_rpc_buffer_context *)buffer->context; - if (ctx->base_cache.find(buffer) != ctx->base_cache.end()) { - return ctx->base_cache[buffer]; + if (ctx->base_ptr != nullptr) { + return ctx->base_ptr; } rpc_msg_buffer_get_base_req request = {ctx->remote_ptr}; rpc_msg_buffer_get_base_rsp response; bool status = send_rpc_cmd(ctx->sock, RPC_CMD_BUFFER_GET_BASE, &request, sizeof(request), &response, sizeof(response)); GGML_ASSERT(status); - void * base_ptr = reinterpret_cast(response.base_ptr); - ctx->base_cache[buffer] = base_ptr; - return base_ptr; + ctx->base_ptr = reinterpret_cast(response.base_ptr); + return ctx->base_ptr; } static rpc_tensor serialize_tensor(const ggml_tensor * tensor) { @@ -557,7 +556,7 @@ static ggml_backend_buffer_t ggml_backend_rpc_buffer_type_alloc_buffer(ggml_back if (response.remote_ptr != 0) { ggml_backend_buffer_t buffer = ggml_backend_buffer_init(buft, ggml_backend_rpc_buffer_interface, - new ggml_backend_rpc_buffer_context{sock, {}, response.remote_ptr}, + new ggml_backend_rpc_buffer_context{sock, nullptr, response.remote_ptr}, response.remote_size); return buffer; } else { From e28245f35f2faaf249dd352998b3693a8cc28c51 Mon Sep 17 00:00:00 2001 From: Xuan Son Nguyen Date: Tue, 21 Jan 2025 14:07:12 +0100 Subject: [PATCH 004/162] export-lora : fix tok_embd tensor (#11330) --- examples/export-lora/export-lora.cpp | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) diff --git a/examples/export-lora/export-lora.cpp b/examples/export-lora/export-lora.cpp index 99063b5d5..91238e4be 100644 --- a/examples/export-lora/export-lora.cpp +++ b/examples/export-lora/export-lora.cpp @@ -345,8 +345,18 @@ struct lora_merge_ctx { gf = ggml_new_graph(ctx0); struct ggml_tensor * cur = inp_base; for (size_t i = 0; i < adapters.size(); ++i) { - struct ggml_tensor * a_T = ggml_cont(ctx0, ggml_transpose(ctx0, ggml_cast(ctx0, inp_a[i], GGML_TYPE_F32))); - struct ggml_tensor * delta = ggml_mul_mat(ctx0, a_T, ggml_cast(ctx0, inp_b[i], GGML_TYPE_F32)); + struct ggml_tensor * delta; + bool is_tok_embd = string_starts_with(name_base, "token_embd"); + if (is_tok_embd) { + printf("%s : detected token embeddings tensor\n", __func__); + delta = ggml_mul_mat(ctx0, + ggml_cast(ctx0, inp_b[i], GGML_TYPE_F32), + ggml_cast(ctx0, inp_a[i], GGML_TYPE_F32)); + } else { + delta = ggml_mul_mat(ctx0, + ggml_cont(ctx0, ggml_transpose(ctx0, ggml_cast(ctx0, inp_a[i], GGML_TYPE_F32))), + ggml_cast(ctx0, inp_b[i], GGML_TYPE_F32)); + } // scale const float alpha = adapters[i]->alpha; const float rank = (float) inp_b[i]->ne[0]; From 6171c9d25820ccf676b243c172868819d882848f Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Tue, 21 Jan 2025 13:18:51 +0000 Subject: [PATCH 005/162] Add Jinja template support (#11016) * Copy minja from https://github.com/google/minja/commit/58f0ca6dd74bcbfbd4e71229736640322b31c7f9 * Add --jinja and --chat-template-file flags * Add missing include * Avoid print in get_hf_chat_template.py * No designated initializers yet * Try and work around msvc++ non-macro max resolution quirk * Update test_chat_completion.py * Wire LLM_KV_TOKENIZER_CHAT_TEMPLATE_N in llama_model_chat_template * Refactor test-chat-template * Test templates w/ minja * Fix deprecation * Add --jinja to llama-run * Update common_chat_format_example to use minja template wrapper * Test chat_template in e2e test * Update utils.py * Update test_chat_completion.py * Update run.cpp * Update arg.cpp * Refactor common_chat_* functions to accept minja template + use_jinja option * Attempt to fix linkage of LLAMA_CHATML_TEMPLATE * Revert LLAMA_CHATML_TEMPLATE refactor * Normalize newlines in test-chat-templates for windows tests * Forward decl minja::chat_template to avoid eager json dep * Flush stdout in chat template before potential crash * Fix copy elision warning * Rm unused optional include * Add missing optional include to server.cpp * Disable jinja test that has a cryptic windows failure * minja: fix vigogne (https://github.com/google/minja/pull/22) * Apply suggestions from code review Co-authored-by: Xuan Son Nguyen Co-authored-by: Georgi Gerganov * Finish suggested renamings * Move chat_templates inside server_context + remove mutex * Update --chat-template-file w/ recent change to --chat-template * Refactor chat template validation * Guard against missing eos/bos tokens (null token otherwise throws in llama_vocab::impl::token_get_attr) * Warn against missing eos / bos tokens when jinja template references them * rename: common_chat_template[s] * reinstate assert on chat_templates.template_default * Update minja to https://github.com/google/minja/commit/b8437df626ac6cd0ce3b333b3c74ed1129c19f25 * Update minja to https://github.com/google/minja/pull/25 * Update minja from https://github.com/google/minja/pull/27 * rm unused optional header --------- Co-authored-by: Xuan Son Nguyen Co-authored-by: Georgi Gerganov --- Makefile | 2 + common/CMakeLists.txt | 2 + common/arg.cpp | 42 +- common/chat-template.hpp | 249 ++ common/common.cpp | 126 +- common/common.h | 38 +- common/minja.hpp | 2788 +++++++++++++++++ examples/main/main.cpp | 28 +- examples/run/run.cpp | 42 +- examples/server/README.md | 2 +- examples/server/server.cpp | 51 +- .../server/tests/unit/test_chat_completion.py | 16 +- examples/server/tests/utils.py | 7 +- examples/server/utils.hpp | 36 +- examples/simple-chat/simple-chat.cpp | 2 +- include/llama.h | 3 +- scripts/get_hf_chat_template.py | 77 + src/CMakeLists.txt | 2 +- src/llama-arch.cpp | 6 +- src/llama-arch.h | 4 +- src/llama-model.cpp | 6 +- tests/test-chat-template.cpp | 167 +- 22 files changed, 3563 insertions(+), 133 deletions(-) create mode 100644 common/chat-template.hpp create mode 100644 common/minja.hpp create mode 100755 scripts/get_hf_chat_template.py diff --git a/Makefile b/Makefile index 19ae0d5f1..295522ba3 100644 --- a/Makefile +++ b/Makefile @@ -1361,7 +1361,9 @@ llama-server: \ examples/server/httplib.h \ examples/server/index.html.hpp \ examples/server/loading.html.hpp \ + common/chat-template.hpp \ common/json.hpp \ + common/minja.hpp \ $(OBJ_ALL) $(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<) $(CXX) $(CXXFLAGS) $(filter-out %.h %.hpp $<,$^) -Iexamples/server $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS) $(LWINSOCK2) diff --git a/common/CMakeLists.txt b/common/CMakeLists.txt index df1cdf9a5..24b7f8741 100644 --- a/common/CMakeLists.txt +++ b/common/CMakeLists.txt @@ -56,6 +56,7 @@ add_library(${TARGET} STATIC arg.cpp arg.h base64.hpp + chat-template.hpp common.cpp common.h console.cpp @@ -64,6 +65,7 @@ add_library(${TARGET} STATIC json.hpp log.cpp log.h + minja.hpp ngram-cache.cpp ngram-cache.h sampling.cpp diff --git a/common/arg.cpp b/common/arg.cpp index 126970950..a6226a34b 100644 --- a/common/arg.cpp +++ b/common/arg.cpp @@ -325,6 +325,14 @@ static bool common_params_parse_ex(int argc, char ** argv, common_params_context throw std::invalid_argument("error: either --embedding or --reranking can be specified, but not both"); } + if (!params.chat_template.empty() && !common_chat_verify_template(params.chat_template, params.use_jinja)) { + throw std::runtime_error(string_format( + "error: the supplied chat template is not supported: %s%s\n", + params.chat_template.c_str(), + params.use_jinja ? "" : "\nnote: llama.cpp was started without --jinja, we only support commonly used templates" + )); + } + return true; } @@ -1947,24 +1955,44 @@ common_params_context common_params_parser_init(common_params & params, llama_ex } } ).set_examples({LLAMA_EXAMPLE_SERVER})); + add_opt(common_arg( + {"--jinja"}, + "use jinja template for chat (default: disabled)", + [](common_params & params) { + params.use_jinja = true; + } + ).set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_MAIN}).set_env("LLAMA_ARG_JINJA")); add_opt(common_arg( {"--chat-template"}, "JINJA_TEMPLATE", string_format( "set custom jinja chat template (default: template taken from model's metadata)\n" "if suffix/prefix are specified, template will be disabled\n" + "only commonly used templates are accepted (unless --jinja is set before this flag):\n" "list of built-in templates:\n%s", list_builtin_chat_templates().c_str() ), [](common_params & params, const std::string & value) { - if (!common_chat_verify_template(value)) { - throw std::runtime_error(string_format( - "error: the supplied chat template is not supported: %s\n" - "note: llama.cpp does not use jinja parser, we only support commonly used templates\n", - value.c_str() - )); - } params.chat_template = value; } ).set_examples({LLAMA_EXAMPLE_MAIN, LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_CHAT_TEMPLATE")); + add_opt(common_arg( + {"--chat-template-file"}, "JINJA_TEMPLATE_FILE", + string_format( + "set custom jinja chat template file (default: template taken from model's metadata)\n" + "if suffix/prefix are specified, template will be disabled\n" + "only commonly used templates are accepted (unless --jinja is set before this flag):\n" + "list of built-in templates:\n%s", list_builtin_chat_templates().c_str() + ), + [](common_params & params, const std::string & value) { + std::ifstream file(value); + if (!file) { + throw std::runtime_error(string_format("error: failed to open file '%s'\n", value.c_str())); + } + std::copy( + std::istreambuf_iterator(file), + std::istreambuf_iterator(), + std::back_inserter(params.chat_template)); + } + ).set_examples({LLAMA_EXAMPLE_MAIN, LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_CHAT_TEMPLATE_FILE")); add_opt(common_arg( {"-sps", "--slot-prompt-similarity"}, "SIMILARITY", string_format("how much the prompt of a request must match the prompt of a slot in order to use that slot (default: %.2f, 0.0 = disabled)\n", params.slot_prompt_similarity), diff --git a/common/chat-template.hpp b/common/chat-template.hpp new file mode 100644 index 000000000..b4a90145c --- /dev/null +++ b/common/chat-template.hpp @@ -0,0 +1,249 @@ +/* + Copyright 2024 Google LLC + + Use of this source code is governed by an MIT-style + license that can be found in the LICENSE file or at + https://opensource.org/licenses/MIT. +*/ +// SPDX-License-Identifier: MIT +#pragma once + +#include "minja.hpp" +#include +#include +#include + +using json = nlohmann::ordered_json; + +namespace minja { + +class chat_template { + public: + + private: + bool supports_tools_ = true; + // Meta-Llama-3.1-8B-Instruct's template expects arguments to be an object. + // Most other templates (and OpenAI's API) expect the arguments object to be stringified. + bool requires_object_arguments_ = false; + bool supports_system_role_ = true; + bool supports_parallel_tool_calls_ = false; + std::string source_; + std::string bos_token_; + std::string eos_token_; + std::shared_ptr template_root_; + + std::string try_render( + const nlohmann::ordered_json & messages, + const nlohmann::ordered_json & tools, + bool add_generation_prompt, + const nlohmann::ordered_json & extra_context = nlohmann::ordered_json()) const + { + try { + auto prompt = apply(messages, tools, add_generation_prompt, extra_context); + // fprintf(stderr, "Prompt: %s\n", prompt.c_str()); + return prompt; + } catch (const std::exception & e) { + // fprintf(stderr, "Error: %s\n", e.what()); + return ""; + } + } + + public: + chat_template(const std::string & source, const std::string & bos_token, const std::string & eos_token) + : source_(source), bos_token_(bos_token), eos_token_(eos_token) + { + template_root_ = minja::Parser::parse(source_, { + /* .trim_blocks = */ true, + /* .lstrip_blocks = */ true, + /* .keep_trailing_newline = */ false, + }); + supports_tools_ = source.find("tools") != std::string::npos; + + auto renders_string_arguments = + try_render({ + { + {"role", "user"}, + {"content", "Hey"} + }, + { + {"role", "assistant"}, + {"tool_calls", json::array({ + { + {"id", "call_1___"}, + {"type", "function"}, + {"function", { + {"arguments", "{\"code\": \"print('Hello, World!')\"}"}, + {"name", "ipython"}, + }}, + }, + })}, + } + }, {}, false).find("{\"code\": \"print") != std::string::npos; + if (!renders_string_arguments) { + auto renders_object_arguments = + try_render({ + { + {"role", "user"}, + {"content", "Hey"} + }, + { + {"role", "assistant"}, + {"tool_calls", json::array({ + { + {"id", "call_1___"}, + {"type", "function"}, + {"function", { + {"arguments", { + {"code", "print('Hello, World!')"}, + }}, + {"name", "ipython"}, + }}, + }, + })}, + } + }, {}, false).find("{\"code\": \"print") != std::string::npos; + requires_object_arguments_ = renders_object_arguments; + } + supports_parallel_tool_calls_ = source.find("tool_call_id") != std::string::npos; + + supports_system_role_ = try_render({ + {{"role", "system"}, {"content", ""}}, + {{"role", "user"}, {"content", "Hey"}} + }, {}, false).find("") != std::string::npos; + } + + const std::string & source() const { return source_; } + const std::string & bos_token() const { return bos_token_; } + const std::string & eos_token() const { return eos_token_; } + bool supports_tools() const { return supports_tools_; } + bool supports_parallel_tool_calls() const { return supports_parallel_tool_calls_; } + + std::string apply( + const nlohmann::ordered_json & messages, + const nlohmann::ordered_json & tools, + bool add_generation_prompt, + const nlohmann::ordered_json & extra_context = nlohmann::ordered_json()) const + { + json actual_messages; + + // First, "fix" messages so they have a chance to be rendered correctly by the template + + if (requires_object_arguments_ || !supports_system_role_ || !supports_tools_) { + actual_messages = json::array(); + + std::string pending_system; + auto flush_sys = [&]() { + if (!pending_system.empty()) { + actual_messages.push_back({ + {"role", "user"}, + {"content", pending_system}, + }); + pending_system.clear(); + } + }; + for (const auto & message_ : messages) { + auto message = message_; + if (!message.contains("role") || !message.contains("content")) { + throw std::runtime_error("message must have 'role' and 'content' fields: " + message.dump()); + } + std::string role = message.at("role"); + + if (message.contains("tool_calls")) { + if (requires_object_arguments_ || !supports_tools_) { + for (auto & tool_call : message.at("tool_calls")) { + if (tool_call["type"] == "function") { + auto & function = tool_call.at("function"); + std::string arguments = function.at("arguments"); + function["arguments"] = json::parse(arguments); + } + } + } + if (!supports_tools_) { + auto content = message.at("content"); + auto tool_calls = json::array(); + for (const auto & tool_call : message.at("tool_calls")) { + if (tool_call.at("type") != "function") { + continue; + } + const auto & function = tool_call.at("function"); + auto tc = json { + {"name", function.at("name")}, + {"arguments", function.at("arguments")}, + }; + if (tool_call.contains("id")) { + tc["id"] = tool_call["id"]; + } + tool_calls.push_back(tc); + } + auto obj = json { + {"tool_calls", tool_calls}, + }; + if (!content.is_null() && content != "") { + obj["content"] = content; + } + message["content"] = obj.dump(2); + message.erase("tool_calls"); + } + } + if (!supports_tools_ && role == "tool") { + message["role"] = "user"; + auto obj = json { + {"tool_response", { + {"tool", message.at("name")}, + {"content", message.at("content")}, + }}, + }; + if (message.contains("tool_call_id")) { + obj["tool_response"]["tool_call_id"] = message.at("tool_call_id"); + } + message["content"] = obj.dump(2); + message.erase("name"); + } + + if (!message["content"].is_null() && !supports_system_role_) { + std::string content = message.at("content"); + if (role == "system") { + if (!pending_system.empty()) pending_system += "\n"; + pending_system += content; + continue; + } else { + if (role == "user") { + if (!pending_system.empty()) { + message["content"] = pending_system + (content.empty() ? "" : "\n" + content); + pending_system.clear(); + } + } else { + flush_sys(); + } + } + } + actual_messages.push_back(message); + } + flush_sys(); + } else { + actual_messages = messages; + } + + auto context = minja::Context::make(json({ + {"messages", actual_messages}, + {"add_generation_prompt", add_generation_prompt}, + {"bos_token", bos_token_}, + {"eos_token", eos_token_}, + })); + + if (!tools.is_null()) { + auto tools_val = minja::Value(tools); + context->set("tools", tools_val); + } + if (!extra_context.is_null()) { + for (auto & kv : extra_context.items()) { + minja::Value val(kv.value()); + context->set(kv.key(), val); + } + } + + return template_root_->render(context); + } +}; + +} // namespace minja diff --git a/common/common.cpp b/common/common.cpp index 451826d5d..727ab0a10 100644 --- a/common/common.cpp +++ b/common/common.cpp @@ -12,6 +12,7 @@ #include "json.hpp" #include "json-schema-to-grammar.h" #include "llama.h" +#include "chat-template.hpp" #include #include @@ -1728,67 +1729,75 @@ std::string common_detokenize(const struct llama_vocab * vocab, const std::vecto // Chat template utils // -std::string common_get_builtin_chat_template(const struct llama_model * model) { - const char * ptr_tmpl = llama_model_chat_template(model); - return ptr_tmpl == nullptr ? "" : ptr_tmpl; -} - -bool common_chat_verify_template(const std::string & tmpl) { +bool common_chat_verify_template(const std::string & tmpl, bool use_jinja) { + if (use_jinja) { + try { + auto chat_template = minja::chat_template(tmpl, "", ""); + chat_template.apply({{ + {"role", "user"}, + {"content", "test"}, + }}, json(), true); + return true; + } catch (const std::exception & e) { + LOG_ERR("%s: failed to apply template: %s\n", __func__, e.what()); + return false; + } + } llama_chat_message chat[] = {{"user", "test"}}; const int res = llama_chat_apply_template(tmpl.c_str(), chat, 1, true, nullptr, 0); return res >= 0; } -std::string common_chat_apply_template(const struct llama_model * model, - const std::string & tmpl, +std::string common_chat_apply_template( + const common_chat_template & tmpl, const std::vector & msgs, - bool add_ass) { + bool add_ass, + bool use_jinja) { + if (use_jinja) { + auto messages = json::array(); + for (const auto & msg : msgs) { + messages.push_back({{"role", msg.role}, {"content", msg.content}}); + } + return tmpl.apply(messages, /* tools= */ json(), add_ass); + } + int alloc_size = 0; - bool fallback = false; // indicate if we must fallback to default chatml std::vector chat; for (const auto & msg : msgs) { chat.push_back({msg.role.c_str(), msg.content.c_str()}); alloc_size += (msg.role.size() + msg.content.size()) * 1.25; } - const char * ptr_tmpl = tmpl.empty() ? llama_model_chat_template(model) : tmpl.c_str(); std::vector buf(alloc_size); // run the first time to get the total output length - int32_t res = llama_chat_apply_template(ptr_tmpl, chat.data(), chat.size(), add_ass, buf.data(), buf.size()); + int32_t res = llama_chat_apply_template(tmpl.source().c_str(), chat.data(), chat.size(), add_ass, buf.data(), buf.size()); // error: chat template is not supported if (res < 0) { - if (ptr_tmpl != nullptr) { - // if the custom "tmpl" is not supported, we throw an error - // this is a bit redundant (for good), since we're not sure if user validated the custom template with llama_chat_verify_template() - throw std::runtime_error("this custom template is not supported"); - } - - // If the built-in template is not supported, we default to chatml - res = llama_chat_apply_template("chatml", chat.data(), chat.size(), add_ass, buf.data(), buf.size()); - fallback = true; + // if the custom "tmpl" is not supported, we throw an error + // this is a bit redundant (for good), since we're not sure if user validated the custom template with llama_chat_verify_template() + throw std::runtime_error("this custom template is not supported"); } // if it turns out that our buffer is too small, we resize it if ((size_t) res > buf.size()) { buf.resize(res); - res = llama_chat_apply_template( - fallback ? "chatml" : ptr_tmpl, - chat.data(), chat.size(), add_ass, buf.data(), buf.size()); + res = llama_chat_apply_template(tmpl.source().c_str(), chat.data(), chat.size(), add_ass, buf.data(), buf.size()); } std::string formatted_chat(buf.data(), res); return formatted_chat; } -std::string common_chat_format_single(const struct llama_model * model, - const std::string & tmpl, +std::string common_chat_format_single( + const common_chat_template & tmpl, const std::vector & past_msg, const common_chat_msg & new_msg, - bool add_ass) { + bool add_ass, + bool use_jinja) { std::ostringstream ss; - auto fmt_past_msg = past_msg.empty() ? "" : common_chat_apply_template(model, tmpl, past_msg, false); + auto fmt_past_msg = past_msg.empty() ? "" : common_chat_apply_template(tmpl, past_msg, false, use_jinja); std::vector chat_new(past_msg); // if the past_msg ends with a newline, we must preserve it in the formatted version if (add_ass && !fmt_past_msg.empty() && fmt_past_msg.back() == '\n') { @@ -1796,21 +1805,74 @@ std::string common_chat_format_single(const struct llama_model * model, }; // format chat with new_msg chat_new.push_back(new_msg); - auto fmt_new_msg = common_chat_apply_template(model, tmpl, chat_new, add_ass); + auto fmt_new_msg = common_chat_apply_template(tmpl, chat_new, add_ass, use_jinja); // get the diff part ss << fmt_new_msg.substr(fmt_past_msg.size(), fmt_new_msg.size() - fmt_past_msg.size()); return ss.str(); } -std::string common_chat_format_example(const struct llama_model * model, - const std::string & tmpl) { +std::string common_chat_format_example(const common_chat_template & tmpl, bool use_jinja) { std::vector msgs = { {"system", "You are a helpful assistant"}, {"user", "Hello"}, {"assistant", "Hi there"}, {"user", "How are you?"}, }; - return common_chat_apply_template(model, tmpl, msgs, true); + return common_chat_apply_template(tmpl, msgs, true, use_jinja); +} + +common_chat_templates common_chat_templates_from_model(const struct llama_model * model, const std::string & chat_template_override) +{ + auto vocab = llama_model_get_vocab(model); + std::string default_template_src = chat_template_override; + std::string template_tool_use_src = chat_template_override; + bool has_explicit_template = !chat_template_override.empty(); + if (chat_template_override.empty()) { + auto str = llama_model_chat_template(model, /* name */ nullptr); + if (str) { + default_template_src = str; + has_explicit_template = true; + } + str = llama_model_chat_template(model, /* name */ "tool_use"); + if (str) { + template_tool_use_src = str; + has_explicit_template = true; + } + } + if (default_template_src.empty() || default_template_src == "chatml") { + if (!template_tool_use_src.empty()) { + default_template_src = template_tool_use_src; + } else { + default_template_src = R"( + {%- for message in messages -%} + {{- "<|im_start|>" + message.role + "\n" + message.content + "<|im_end|>\n" -}} + {%- endfor -%} + {%- if add_generation_prompt -%} + {{- "<|im_start|>assistant\n" -}} + {%- endif -%} + )"; + } + } + const auto get_token = [&](llama_token token, const char * name, const char * jinja_variable_name) { + if (token == LLAMA_TOKEN_NULL) { + if (default_template_src.find(jinja_variable_name) != std::string::npos + || template_tool_use_src.find(jinja_variable_name) != std::string::npos) { + LOG_WRN("%s: warning: vocab does not have a %s token, jinja template won't work as intended.\n", __func__, name); + } + return std::string(); + } else { + return common_token_to_piece(vocab, token, true); + } + }; + auto token_bos = get_token(llama_vocab_bos(vocab), "BOS", "bos_token"); + auto token_eos = get_token(llama_vocab_eos(vocab), "EOS", "eos_token"); + return { + has_explicit_template, + std::make_unique(default_template_src, token_bos, token_eos), + template_tool_use_src.empty() + ? nullptr + : std::make_unique(template_tool_use_src, token_bos, token_eos) + }; } // diff --git a/common/common.h b/common/common.h index b2709c044..7c9d73ce1 100644 --- a/common/common.h +++ b/common/common.h @@ -334,6 +334,7 @@ struct common_params { std::string hostname = "127.0.0.1"; std::string public_path = ""; // NOLINT std::string chat_template = ""; // NOLINT + bool use_jinja = false; // NOLINT bool enable_chat_template = true; std::vector api_keys; @@ -603,30 +604,43 @@ struct common_chat_msg { std::string content; }; -// Get the built-in chat template for the model. Return empty string if not present. -std::string common_get_builtin_chat_template(const struct llama_model * model); - // Check if the template supplied via "--chat-template" is supported or not. Returns true if it's valid -bool common_chat_verify_template(const std::string & tmpl); +bool common_chat_verify_template(const std::string & tmpl, bool use_jinja); + +namespace minja { + class chat_template; +} + +typedef minja::chat_template common_chat_template; + +struct common_chat_templates { + bool has_explicit_template; // Model had builtin template or template overridde was specified. + std::unique_ptr template_default; // always set (defaults to chatml) + std::unique_ptr template_tool_use; +}; // CPP wrapper for llama_chat_apply_template // If the built-in template is not supported, we default to chatml // If the custom "tmpl" is not supported, we throw an error -std::string common_chat_apply_template(const struct llama_model * model, - const std::string & tmpl, +std::string common_chat_apply_template( + const common_chat_template & tmpl, const std::vector & chat, - bool add_ass); + bool add_ass, + bool use_jinja); // Format single message, while taking into account the position of that message in chat history -std::string common_chat_format_single(const struct llama_model * model, - const std::string & tmpl, +std::string common_chat_format_single( + const common_chat_template & tmpl, const std::vector & past_msg, const common_chat_msg & new_msg, - bool add_ass); + bool add_ass, + bool use_jinja); // Returns an example of formatted chat -std::string common_chat_format_example(const struct llama_model * model, - const std::string & tmpl); +std::string common_chat_format_example( + const common_chat_template & tmpl, bool use_jinja); + +common_chat_templates common_chat_templates_from_model(const struct llama_model * model, const std::string & chat_template_override); // // KV cache utils diff --git a/common/minja.hpp b/common/minja.hpp new file mode 100644 index 000000000..f0ee7a49a --- /dev/null +++ b/common/minja.hpp @@ -0,0 +1,2788 @@ +/* + Copyright 2024 Google LLC + + Use of this source code is governed by an MIT-style + license that can be found in the LICENSE file or at + https://opensource.org/licenses/MIT. +*/ +// SPDX-License-Identifier: MIT +#pragma once + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +using json = nlohmann::ordered_json; + +namespace minja { + +class Context; + +struct Options { + bool trim_blocks; // removes the first newline after a block + bool lstrip_blocks; // removes leading whitespace on the line of the block + bool keep_trailing_newline; // don't remove last newline +}; + +struct ArgumentsValue; + +inline std::string normalize_newlines(const std::string & s) { +#ifdef _WIN32 + static const std::regex nl_regex("\r\n"); + return std::regex_replace(s, nl_regex, "\n"); +#else + return s; +#endif +} + +/* Values that behave roughly like in Python. */ +class Value : public std::enable_shared_from_this { +public: + using CallableType = std::function &, ArgumentsValue &)>; + using FilterType = std::function &, ArgumentsValue &)>; + +private: + using ObjectType = nlohmann::ordered_map; // Only contains primitive keys + using ArrayType = std::vector; + + std::shared_ptr array_; + std::shared_ptr object_; + std::shared_ptr callable_; + json primitive_; + + Value(const std::shared_ptr & array) : array_(array) {} + Value(const std::shared_ptr & object) : object_(object) {} + Value(const std::shared_ptr & callable) : object_(std::make_shared()), callable_(callable) {} + + /* Python-style string repr */ + static void dump_string(const json & primitive, std::ostringstream & out, char string_quote = '\'') { + if (!primitive.is_string()) throw std::runtime_error("Value is not a string: " + primitive.dump()); + auto s = primitive.dump(); + if (string_quote == '"' || s.find('\'') != std::string::npos) { + out << s; + return; + } + // Reuse json dump, just changing string quotes + out << string_quote; + for (size_t i = 1, n = s.size() - 1; i < n; ++i) { + if (s[i] == '\\' && s[i + 1] == '"') { + out << '"'; + i++; + } else if (s[i] == string_quote) { + out << '\\' << string_quote; + } else { + out << s[i]; + } + } + out << string_quote; + } + void dump(std::ostringstream & out, int indent = -1, int level = 0, bool to_json = false) const { + auto print_indent = [&](int level) { + if (indent > 0) { + out << "\n"; + for (int i = 0, n = level * indent; i < n; ++i) out << ' '; + } + }; + auto print_sub_sep = [&]() { + out << ','; + if (indent < 0) out << ' '; + else print_indent(level + 1); + }; + + auto string_quote = to_json ? '"' : '\''; + + if (is_null()) out << "null"; + else if (array_) { + out << "["; + print_indent(level + 1); + for (size_t i = 0; i < array_->size(); ++i) { + if (i) print_sub_sep(); + (*array_)[i].dump(out, indent, level + 1, to_json); + } + print_indent(level); + out << "]"; + } else if (object_) { + out << "{"; + print_indent(level + 1); + for (auto begin = object_->begin(), it = begin; it != object_->end(); ++it) { + if (it != begin) print_sub_sep(); + if (it->first.is_string()) { + dump_string(it->first, out, string_quote); + } else { + out << string_quote << it->first.dump() << string_quote; + } + out << ": "; + it->second.dump(out, indent, level + 1, to_json); + } + print_indent(level); + out << "}"; + } else if (callable_) { + throw std::runtime_error("Cannot dump callable to JSON"); + } else if (is_boolean() && !to_json) { + out << (this->to_bool() ? "True" : "False"); + } else if (is_string() && !to_json) { + dump_string(primitive_, out, string_quote); + } else { + out << primitive_.dump(); + } + } + +public: + Value() {} + Value(const bool& v) : primitive_(v) {} + Value(const int64_t & v) : primitive_(v) {} + Value(const double& v) : primitive_(v) {} + Value(const std::nullptr_t &) {} + Value(const std::string & v) : primitive_(v) {} + Value(const char * v) : primitive_(std::string(v)) {} + + Value(const json & v) { + if (v.is_object()) { + auto object = std::make_shared(); + for (auto it = v.begin(); it != v.end(); ++it) { + (*object)[it.key()] = it.value(); + } + object_ = std::move(object); + } else if (v.is_array()) { + auto array = std::make_shared(); + for (const auto& item : v) { + array->push_back(Value(item)); + } + array_ = array; + } else { + primitive_ = v; + } + } + + std::vector keys() { + if (!object_) throw std::runtime_error("Value is not an object: " + dump()); + std::vector res; + for (const auto& item : *object_) { + res.push_back(item.first); + } + return res; + } + + size_t size() const { + if (is_object()) return object_->size(); + if (is_array()) return array_->size(); + if (is_string()) return primitive_.get().length(); + throw std::runtime_error("Value is not an array or object: " + dump()); + } + + static Value array(const std::vector values = {}) { + auto array = std::make_shared(); + for (const auto& item : values) { + array->push_back(item); + } + return Value(array); + } + static Value object(const std::shared_ptr object = std::make_shared()) { + return Value(object); + } + static Value callable(const CallableType & callable) { + return Value(std::make_shared(callable)); + } + + void insert(size_t index, const Value& v) { + if (!array_) + throw std::runtime_error("Value is not an array: " + dump()); + array_->insert(array_->begin() + index, v); + } + void push_back(const Value& v) { + if (!array_) + throw std::runtime_error("Value is not an array: " + dump()); + array_->push_back(v); + } + Value pop(const Value& index) { + if (is_array()) { + if (array_->empty()) + throw std::runtime_error("pop from empty list"); + if (index.is_null()) { + auto ret = array_->back(); + array_->pop_back(); + return ret; + } else if (!index.is_number_integer()) { + throw std::runtime_error("pop index must be an integer: " + index.dump()); + } else { + auto i = index.get(); + if (i < 0 || i >= static_cast(array_->size())) + throw std::runtime_error("pop index out of range: " + index.dump()); + auto it = array_->begin() + (i < 0 ? array_->size() + i : i); + auto ret = *it; + array_->erase(it); + return ret; + } + } else if (is_object()) { + if (!index.is_hashable()) + throw std::runtime_error("Unashable type: " + index.dump()); + auto it = object_->find(index.primitive_); + if (it == object_->end()) + throw std::runtime_error("Key not found: " + index.dump()); + auto ret = it->second; + object_->erase(it); + return ret; + } else { + throw std::runtime_error("Value is not an array or object: " + dump()); + } + } + Value get(const Value& key) { + if (array_) { + if (!key.is_number_integer()) { + return Value(); + } + auto index = key.get(); + return array_->at(index < 0 ? array_->size() + index : index); + } else if (object_) { + if (!key.is_hashable()) throw std::runtime_error("Unashable type: " + dump()); + auto it = object_->find(key.primitive_); + if (it == object_->end()) return Value(); + return it->second; + } + return Value(); + } + void set(const Value& key, const Value& value) { + if (!object_) throw std::runtime_error("Value is not an object: " + dump()); + if (!key.is_hashable()) throw std::runtime_error("Unashable type: " + dump()); + (*object_)[key.primitive_] = value; + } + Value call(const std::shared_ptr & context, ArgumentsValue & args) const { + if (!callable_) throw std::runtime_error("Value is not callable: " + dump()); + return (*callable_)(context, args); + } + + bool is_object() const { return !!object_; } + bool is_array() const { return !!array_; } + bool is_callable() const { return !!callable_; } + bool is_null() const { return !object_ && !array_ && primitive_.is_null() && !callable_; } + bool is_boolean() const { return primitive_.is_boolean(); } + bool is_number_integer() const { return primitive_.is_number_integer(); } + bool is_number_float() const { return primitive_.is_number_float(); } + bool is_number() const { return primitive_.is_number(); } + bool is_string() const { return primitive_.is_string(); } + bool is_iterable() const { return is_array() || is_object() || is_string(); } + + bool is_primitive() const { return !array_ && !object_ && !callable_; } + bool is_hashable() const { return is_primitive(); } + + bool empty() const { + if (is_null()) + throw std::runtime_error("Undefined value or reference"); + if (is_string()) return primitive_.empty(); + if (is_array()) return array_->empty(); + if (is_object()) return object_->empty(); + return false; + } + + void for_each(const std::function & callback) const { + if (is_null()) + throw std::runtime_error("Undefined value or reference"); + if (array_) { + for (auto& item : *array_) { + callback(item); + } + } else if (object_) { + for (auto & item : *object_) { + Value key(item.first); + callback(key); + } + } else if (is_string()) { + for (char c : primitive_.get()) { + auto val = Value(std::string(1, c)); + callback(val); + } + } else { + throw std::runtime_error("Value is not iterable: " + dump()); + } + } + + bool to_bool() const { + if (is_null()) return false; + if (is_boolean()) return get(); + if (is_number()) return get() != 0; + if (is_string()) return !get().empty(); + if (is_array()) return !empty(); + return true; + } + + int64_t to_int() const { + if (is_null()) return 0; + if (is_boolean()) return get() ? 1 : 0; + if (is_number()) return static_cast(get()); + if (is_string()) { + try { + return std::stol(get()); + } catch (const std::exception &) { + return 0; + } + } + return 0; + } + + bool operator<(const Value & other) const { + if (is_null()) + throw std::runtime_error("Undefined value or reference"); + if (is_number() && other.is_number()) return get() < other.get(); + if (is_string() && other.is_string()) return get() < other.get(); + throw std::runtime_error("Cannot compare values: " + dump() + " < " + other.dump()); + } + bool operator>=(const Value & other) const { return !(*this < other); } + + bool operator>(const Value & other) const { + if (is_null()) + throw std::runtime_error("Undefined value or reference"); + if (is_number() && other.is_number()) return get() > other.get(); + if (is_string() && other.is_string()) return get() > other.get(); + throw std::runtime_error("Cannot compare values: " + dump() + " > " + other.dump()); + } + bool operator<=(const Value & other) const { return !(*this > other); } + + bool operator==(const Value & other) const { + if (callable_ || other.callable_) { + if (callable_.get() != other.callable_.get()) return false; + } + if (array_) { + if (!other.array_) return false; + if (array_->size() != other.array_->size()) return false; + for (size_t i = 0; i < array_->size(); ++i) { + if (!(*array_)[i].to_bool() || !(*other.array_)[i].to_bool() || (*array_)[i] != (*other.array_)[i]) return false; + } + return true; + } else if (object_) { + if (!other.object_) return false; + if (object_->size() != other.object_->size()) return false; + for (const auto& item : *object_) { + if (!item.second.to_bool() || !other.object_->count(item.first) || item.second != other.object_->at(item.first)) return false; + } + return true; + } else { + return primitive_ == other.primitive_; + } + } + bool operator!=(const Value & other) const { return !(*this == other); } + + bool contains(const char * key) const { return contains(std::string(key)); } + bool contains(const std::string & key) const { + if (array_) { + return false; + } else if (object_) { + return object_->find(key) != object_->end(); + } else { + throw std::runtime_error("contains can only be called on arrays and objects: " + dump()); + } + } + bool contains(const Value & value) const { + if (is_null()) + throw std::runtime_error("Undefined value or reference"); + if (array_) { + for (const auto& item : *array_) { + if (item.to_bool() && item == value) return true; + } + return false; + } else if (object_) { + if (!value.is_hashable()) throw std::runtime_error("Unashable type: " + value.dump()); + return object_->find(value.primitive_) != object_->end(); + } else { + throw std::runtime_error("contains can only be called on arrays and objects: " + dump()); + } + } + void erase(size_t index) { + if (!array_) throw std::runtime_error("Value is not an array: " + dump()); + array_->erase(array_->begin() + index); + } + void erase(const std::string & key) { + if (!object_) throw std::runtime_error("Value is not an object: " + dump()); + object_->erase(key); + } + const Value& at(const Value & index) const { + return const_cast(this)->at(index); + } + Value& at(const Value & index) { + if (!index.is_hashable()) throw std::runtime_error("Unashable type: " + dump()); + if (is_array()) return array_->at(index.get()); + if (is_object()) return object_->at(index.primitive_); + throw std::runtime_error("Value is not an array or object: " + dump()); + } + const Value& at(size_t index) const { + return const_cast(this)->at(index); + } + Value& at(size_t index) { + if (is_null()) + throw std::runtime_error("Undefined value or reference"); + if (is_array()) return array_->at(index); + if (is_object()) return object_->at(index); + throw std::runtime_error("Value is not an array or object: " + dump()); + } + + template + T get(const std::string & key, T default_value) const { + if (!contains(key)) return default_value; + return at(key).get(); + } + + template + T get() const { + if (is_primitive()) return primitive_.get(); + throw std::runtime_error("get not defined for this value type: " + dump()); + } + + std::string dump(int indent=-1, bool to_json=false) const { + std::ostringstream out; + dump(out, indent, 0, to_json); + return out.str(); + } + + Value operator-() const { + if (is_number_integer()) + return -get(); + else + return -get(); + } + std::string to_str() const { + if (is_string()) return get(); + if (is_number_integer()) return std::to_string(get()); + if (is_number_float()) return std::to_string(get()); + if (is_boolean()) return get() ? "True" : "False"; + if (is_null()) return "None"; + return dump(); + } + Value operator+(const Value& rhs) const { + if (is_string() || rhs.is_string()) { + return to_str() + rhs.to_str(); + } else if (is_number_integer() && rhs.is_number_integer()) { + return get() + rhs.get(); + } else if (is_array() && rhs.is_array()) { + auto res = Value::array(); + for (const auto& item : *array_) res.push_back(item); + for (const auto& item : *rhs.array_) res.push_back(item); + return res; + } else { + return get() + rhs.get(); + } + } + Value operator-(const Value& rhs) const { + if (is_number_integer() && rhs.is_number_integer()) + return get() - rhs.get(); + else + return get() - rhs.get(); + } + Value operator*(const Value& rhs) const { + if (is_string() && rhs.is_number_integer()) { + std::ostringstream out; + for (int64_t i = 0, n = rhs.get(); i < n; ++i) { + out << to_str(); + } + return out.str(); + } + else if (is_number_integer() && rhs.is_number_integer()) + return get() * rhs.get(); + else + return get() * rhs.get(); + } + Value operator/(const Value& rhs) const { + if (is_number_integer() && rhs.is_number_integer()) + return get() / rhs.get(); + else + return get() / rhs.get(); + } + Value operator%(const Value& rhs) const { + return get() % rhs.get(); + } +}; + +struct ArgumentsValue { + std::vector args; + std::vector> kwargs; + + bool has_named(const std::string & name) { + for (const auto & p : kwargs) { + if (p.first == name) return true; + } + return false; + } + + Value get_named(const std::string & name) { + for (const auto & [key, value] : kwargs) { + if (key == name) return value; + } + return Value(); + } + + bool empty() { + return args.empty() && kwargs.empty(); + } + + void expectArgs(const std::string & method_name, const std::pair & pos_count, const std::pair & kw_count) { + if (args.size() < pos_count.first || args.size() > pos_count.second || kwargs.size() < kw_count.first || kwargs.size() > kw_count.second) { + std::ostringstream out; + out << method_name << " must have between " << pos_count.first << " and " << pos_count.second << " positional arguments and between " << kw_count.first << " and " << kw_count.second << " keyword arguments"; + throw std::runtime_error(out.str()); + } + } +}; + +template <> +inline json Value::get() const { + if (is_primitive()) return primitive_; + if (is_null()) return json(); + if (array_) { + std::vector res; + for (const auto& item : *array_) { + res.push_back(item.get()); + } + return res; + } + if (object_) { + json res = json::object(); + for (const auto& [key, value] : *object_) { + if (key.is_string()) { + res[key.get()] = value.get(); + } else if (key.is_primitive()) { + res[key.dump()] = value.get(); + } else { + throw std::runtime_error("Invalid key type for conversion to JSON: " + key.dump()); + } + } + if (is_callable()) { + res["__callable__"] = true; + } + return res; + } + throw std::runtime_error("get not defined for this value type: " + dump()); +} + +} // namespace minja + +namespace std { + template <> + struct hash { + size_t operator()(const minja::Value & v) const { + if (!v.is_hashable()) + throw std::runtime_error("Unsupported type for hashing: " + v.dump()); + return std::hash()(v.get()); + } + }; +} // namespace std + +namespace minja { + +static std::string error_location_suffix(const std::string & source, size_t pos) { + auto get_line = [&](size_t line) { + auto start = source.begin(); + for (size_t i = 1; i < line; ++i) { + start = std::find(start, source.end(), '\n') + 1; + } + auto end = std::find(start, source.end(), '\n'); + return std::string(start, end); + }; + auto start = source.begin(); + auto end = source.end(); + auto it = start + pos; + auto line = std::count(start, it, '\n') + 1; + auto max_line = std::count(start, end, '\n') + 1; + auto col = pos - std::string(start, it).rfind('\n'); + std::ostringstream out; + out << " at row " << line << ", column " << col << ":\n"; + if (line > 1) out << get_line(line - 1) << "\n"; + out << get_line(line) << "\n"; + out << std::string(col - 1, ' ') << "^\n"; + if (line < max_line) out << get_line(line + 1) << "\n"; + + return out.str(); +} + +class Context : public std::enable_shared_from_this { + protected: + Value values_; + std::shared_ptr parent_; + public: + Context(Value && values, const std::shared_ptr & parent = nullptr) : values_(std::move(values)), parent_(parent) { + if (!values_.is_object()) throw std::runtime_error("Context values must be an object: " + values_.dump()); + } + virtual ~Context() {} + + static std::shared_ptr builtins(); + static std::shared_ptr make(Value && values, const std::shared_ptr & parent = builtins()); + + std::vector keys() { + return values_.keys(); + } + virtual Value get(const Value & key) { + if (values_.contains(key)) return values_.at(key); + if (parent_) return parent_->get(key); + return Value(); + } + virtual Value & at(const Value & key) { + if (values_.contains(key)) return values_.at(key); + if (parent_) return parent_->at(key); + throw std::runtime_error("Undefined variable: " + key.dump()); + } + virtual bool contains(const Value & key) { + if (values_.contains(key)) return true; + if (parent_) return parent_->contains(key); + return false; + } + virtual void set(const Value & key, Value & value) { + values_.set(key, value); + } +}; + +struct Location { + std::shared_ptr source; + size_t pos; +}; + +class Expression { +protected: + virtual Value do_evaluate(const std::shared_ptr & context) const = 0; +public: + using Parameters = std::vector>>; + + Location location; + + Expression(const Location & location) : location(location) {} + virtual ~Expression() = default; + + Value evaluate(const std::shared_ptr & context) const { + try { + return do_evaluate(context); + } catch (const std::exception & e) { + std::ostringstream out; + out << e.what(); + if (location.source) out << error_location_suffix(*location.source, location.pos); + throw std::runtime_error(out.str()); + } + } +}; + +class VariableExpr : public Expression { + std::string name; +public: + VariableExpr(const Location & location, const std::string& n) + : Expression(location), name(n) {} + std::string get_name() const { return name; } + Value do_evaluate(const std::shared_ptr & context) const override { + if (!context->contains(name)) { + return Value(); + } + return context->at(name); + } +}; + +static void destructuring_assign(const std::vector & var_names, const std::shared_ptr & context, Value& item) { + if (var_names.size() == 1) { + Value name(var_names[0]); + context->set(name, item); + } else { + if (!item.is_array() || item.size() != var_names.size()) { + throw std::runtime_error("Mismatched number of variables and items in destructuring assignment"); + } + for (size_t i = 0; i < var_names.size(); ++i) { + context->set(var_names[i], item.at(i)); + } + } +} + +enum SpaceHandling { Keep, Strip, StripSpaces, StripNewline }; + +class TemplateToken { +public: + enum class Type { Text, Expression, If, Else, Elif, EndIf, For, EndFor, Set, EndSet, Comment, Macro, EndMacro, Filter, EndFilter }; + + static std::string typeToString(Type t) { + switch (t) { + case Type::Text: return "text"; + case Type::Expression: return "expression"; + case Type::If: return "if"; + case Type::Else: return "else"; + case Type::Elif: return "elif"; + case Type::EndIf: return "endif"; + case Type::For: return "for"; + case Type::EndFor: return "endfor"; + case Type::Set: return "set"; + case Type::EndSet: return "endset"; + case Type::Comment: return "comment"; + case Type::Macro: return "macro"; + case Type::EndMacro: return "endmacro"; + case Type::Filter: return "filter"; + case Type::EndFilter: return "endfilter"; + } + return "Unknown"; + } + + TemplateToken(Type type, const Location & location, SpaceHandling pre, SpaceHandling post) : type(type), location(location), pre_space(pre), post_space(post) {} + virtual ~TemplateToken() = default; + + Type type; + Location location; + SpaceHandling pre_space = SpaceHandling::Keep; + SpaceHandling post_space = SpaceHandling::Keep; +}; + +struct TextTemplateToken : public TemplateToken { + std::string text; + TextTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post, const std::string& t) : TemplateToken(Type::Text, location, pre, post), text(t) {} +}; + +struct ExpressionTemplateToken : public TemplateToken { + std::shared_ptr expr; + ExpressionTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post, std::shared_ptr && e) : TemplateToken(Type::Expression, location, pre, post), expr(std::move(e)) {} +}; + +struct IfTemplateToken : public TemplateToken { + std::shared_ptr condition; + IfTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post, std::shared_ptr && c) : TemplateToken(Type::If, location, pre, post), condition(std::move(c)) {} +}; + +struct ElifTemplateToken : public TemplateToken { + std::shared_ptr condition; + ElifTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post, std::shared_ptr && c) : TemplateToken(Type::Elif, location, pre, post), condition(std::move(c)) {} +}; + +struct ElseTemplateToken : public TemplateToken { + ElseTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post) : TemplateToken(Type::Else, location, pre, post) {} +}; + +struct EndIfTemplateToken : public TemplateToken { + EndIfTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post) : TemplateToken(Type::EndIf, location, pre, post) {} +}; + +struct MacroTemplateToken : public TemplateToken { + std::shared_ptr name; + Expression::Parameters params; + MacroTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post, std::shared_ptr && n, Expression::Parameters && p) + : TemplateToken(Type::Macro, location, pre, post), name(std::move(n)), params(std::move(p)) {} +}; + +struct EndMacroTemplateToken : public TemplateToken { + EndMacroTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post) : TemplateToken(Type::EndMacro, location, pre, post) {} +}; + +struct FilterTemplateToken : public TemplateToken { + std::shared_ptr filter; + FilterTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post, std::shared_ptr && filter) + : TemplateToken(Type::Filter, location, pre, post), filter(std::move(filter)) {} +}; + +struct EndFilterTemplateToken : public TemplateToken { + EndFilterTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post) : TemplateToken(Type::EndFilter, location, pre, post) {} +}; + +struct ForTemplateToken : public TemplateToken { + std::vector var_names; + std::shared_ptr iterable; + std::shared_ptr condition; + bool recursive; + ForTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post, const std::vector & vns, std::shared_ptr && iter, + std::shared_ptr && c, bool r) + : TemplateToken(Type::For, location, pre, post), var_names(vns), iterable(std::move(iter)), condition(std::move(c)), recursive(r) {} +}; + +struct EndForTemplateToken : public TemplateToken { + EndForTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post) : TemplateToken(Type::EndFor, location, pre, post) {} +}; + +struct SetTemplateToken : public TemplateToken { + std::string ns; + std::vector var_names; + std::shared_ptr value; + SetTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post, const std::string & ns, const std::vector & vns, std::shared_ptr && v) + : TemplateToken(Type::Set, location, pre, post), ns(ns), var_names(vns), value(std::move(v)) {} +}; + +struct EndSetTemplateToken : public TemplateToken { + EndSetTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post) : TemplateToken(Type::EndSet, location, pre, post) {} +}; + +struct CommentTemplateToken : public TemplateToken { + std::string text; + CommentTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post, const std::string& t) : TemplateToken(Type::Comment, location, pre, post), text(t) {} +}; + +class TemplateNode { + Location location_; +protected: + virtual void do_render(std::ostringstream & out, const std::shared_ptr & context) const = 0; + +public: + TemplateNode(const Location & location) : location_(location) {} + void render(std::ostringstream & out, const std::shared_ptr & context) const { + try { + do_render(out, context); + } catch (const std::exception & e) { + std::ostringstream err; + err << e.what(); + if (location_.source) err << error_location_suffix(*location_.source, location_.pos); + throw std::runtime_error(err.str()); + } + } + const Location & location() const { return location_; } + virtual ~TemplateNode() = default; + std::string render(const std::shared_ptr & context) const { + std::ostringstream out; + render(out, context); + return out.str(); + } +}; + +class SequenceNode : public TemplateNode { + std::vector> children; +public: + SequenceNode(const Location & location, std::vector> && c) + : TemplateNode(location), children(std::move(c)) {} + void do_render(std::ostringstream & out, const std::shared_ptr & context) const override { + for (const auto& child : children) child->render(out, context); + } +}; + +class TextNode : public TemplateNode { + std::string text; +public: + TextNode(const Location & location, const std::string& t) : TemplateNode(location), text(t) {} + void do_render(std::ostringstream & out, const std::shared_ptr &) const override { + out << text; + } +}; + +class ExpressionNode : public TemplateNode { + std::shared_ptr expr; +public: + ExpressionNode(const Location & location, std::shared_ptr && e) : TemplateNode(location), expr(std::move(e)) {} + void do_render(std::ostringstream & out, const std::shared_ptr & context) const override { + if (!expr) throw std::runtime_error("ExpressionNode.expr is null"); + auto result = expr->evaluate(context); + if (result.is_string()) { + out << result.get(); + } else if (result.is_boolean()) { + out << (result.get() ? "True" : "False"); + } else if (!result.is_null()) { + out << result.dump(); + } + } +}; + +class IfNode : public TemplateNode { + std::vector, std::shared_ptr>> cascade; +public: + IfNode(const Location & location, std::vector, std::shared_ptr>> && c) + : TemplateNode(location), cascade(std::move(c)) {} + void do_render(std::ostringstream & out, const std::shared_ptr & context) const override { + for (const auto& branch : cascade) { + auto enter_branch = true; + if (branch.first) { + enter_branch = branch.first->evaluate(context).to_bool(); + } + if (enter_branch) { + if (!branch.second) throw std::runtime_error("IfNode.cascade.second is null"); + branch.second->render(out, context); + return; + } + } + } +}; + +class ForNode : public TemplateNode { + std::vector var_names; + std::shared_ptr iterable; + std::shared_ptr condition; + std::shared_ptr body; + bool recursive; + std::shared_ptr else_body; +public: + ForNode(const Location & location, std::vector && var_names, std::shared_ptr && iterable, + std::shared_ptr && condition, std::shared_ptr && body, bool recursive, std::shared_ptr && else_body) + : TemplateNode(location), var_names(var_names), iterable(std::move(iterable)), condition(std::move(condition)), body(std::move(body)), recursive(recursive), else_body(std::move(else_body)) {} + + void do_render(std::ostringstream & out, const std::shared_ptr & context) const override { + // https://jinja.palletsprojects.com/en/3.0.x/templates/#for + if (!iterable) throw std::runtime_error("ForNode.iterable is null"); + if (!body) throw std::runtime_error("ForNode.body is null"); + + auto iterable_value = iterable->evaluate(context); + Value::CallableType loop_function; + + std::function visit = [&](Value& iter) { + auto filtered_items = Value::array(); + if (!iter.is_null()) { + if (!iterable_value.is_iterable()) { + throw std::runtime_error("For loop iterable must be iterable: " + iterable_value.dump()); + } + iterable_value.for_each([&](Value & item) { + destructuring_assign(var_names, context, item); + if (!condition || condition->evaluate(context).to_bool()) { + filtered_items.push_back(item); + } + }); + } + if (filtered_items.empty()) { + if (else_body) { + else_body->render(out, context); + } + } else { + auto loop = recursive ? Value::callable(loop_function) : Value::object(); + loop.set("length", (int64_t) filtered_items.size()); + + size_t cycle_index = 0; + loop.set("cycle", Value::callable([&](const std::shared_ptr &, ArgumentsValue & args) { + if (args.args.empty() || !args.kwargs.empty()) { + throw std::runtime_error("cycle() expects at least 1 positional argument and no named arg"); + } + auto item = args.args[cycle_index]; + cycle_index = (cycle_index + 1) % args.args.size(); + return item; + })); + auto loop_context = Context::make(Value::object(), context); + loop_context->set("loop", loop); + for (size_t i = 0, n = filtered_items.size(); i < n; ++i) { + auto & item = filtered_items.at(i); + destructuring_assign(var_names, loop_context, item); + loop.set("index", (int64_t) i + 1); + loop.set("index0", (int64_t) i); + loop.set("revindex", (int64_t) (n - i)); + loop.set("revindex0", (int64_t) (n - i - 1)); + loop.set("length", (int64_t) n); + loop.set("first", i == 0); + loop.set("last", i == (n - 1)); + loop.set("previtem", i > 0 ? filtered_items.at(i - 1) : Value()); + loop.set("nextitem", i < n - 1 ? filtered_items.at(i + 1) : Value()); + body->render(out, loop_context); + } + } + }; + + if (recursive) { + loop_function = [&](const std::shared_ptr &, ArgumentsValue & args) { + if (args.args.size() != 1 || !args.kwargs.empty() || !args.args[0].is_array()) { + throw std::runtime_error("loop() expects exactly 1 positional iterable argument"); + } + auto & items = args.args[0]; + visit(items); + return Value(); + }; + } + + visit(iterable_value); + } +}; + +class MacroNode : public TemplateNode { + std::shared_ptr name; + Expression::Parameters params; + std::shared_ptr body; + std::unordered_map named_param_positions; +public: + MacroNode(const Location & location, std::shared_ptr && n, Expression::Parameters && p, std::shared_ptr && b) + : TemplateNode(location), name(std::move(n)), params(std::move(p)), body(std::move(b)) { + for (size_t i = 0; i < params.size(); ++i) { + const auto & name = params[i].first; + if (!name.empty()) { + named_param_positions[name] = i; + } + } + } + void do_render(std::ostringstream &, const std::shared_ptr & macro_context) const override { + if (!name) throw std::runtime_error("MacroNode.name is null"); + if (!body) throw std::runtime_error("MacroNode.body is null"); + auto callable = Value::callable([&](const std::shared_ptr & context, ArgumentsValue & args) { + auto call_context = macro_context; + std::vector param_set(params.size(), false); + for (size_t i = 0, n = args.args.size(); i < n; i++) { + auto & arg = args.args[i]; + if (i >= params.size()) throw std::runtime_error("Too many positional arguments for macro " + name->get_name()); + param_set[i] = true; + auto & param_name = params[i].first; + call_context->set(param_name, arg); + } + for (auto & [arg_name, value] : args.kwargs) { + auto it = named_param_positions.find(arg_name); + if (it == named_param_positions.end()) throw std::runtime_error("Unknown parameter name for macro " + name->get_name() + ": " + arg_name); + + call_context->set(arg_name, value); + param_set[it->second] = true; + } + // Set default values for parameters that were not passed + for (size_t i = 0, n = params.size(); i < n; i++) { + if (!param_set[i] && params[i].second != nullptr) { + auto val = params[i].second->evaluate(context); + call_context->set(params[i].first, val); + } + } + return body->render(call_context); + }); + macro_context->set(name->get_name(), callable); + } +}; + +class FilterNode : public TemplateNode { + std::shared_ptr filter; + std::shared_ptr body; + +public: + FilterNode(const Location & location, std::shared_ptr && f, std::shared_ptr && b) + : TemplateNode(location), filter(std::move(f)), body(std::move(b)) {} + + void do_render(std::ostringstream & out, const std::shared_ptr & context) const override { + if (!filter) throw std::runtime_error("FilterNode.filter is null"); + if (!body) throw std::runtime_error("FilterNode.body is null"); + auto filter_value = filter->evaluate(context); + if (!filter_value.is_callable()) { + throw std::runtime_error("Filter must be a callable: " + filter_value.dump()); + } + std::string rendered_body = body->render(context); + + ArgumentsValue filter_args = {{Value(rendered_body)}, {}}; + auto result = filter_value.call(context, filter_args); + out << result.to_str(); + } +}; + +class SetNode : public TemplateNode { + std::string ns; + std::vector var_names; + std::shared_ptr value; +public: + SetNode(const Location & location, const std::string & ns, const std::vector & vns, std::shared_ptr && v) + : TemplateNode(location), ns(ns), var_names(vns), value(std::move(v)) {} + void do_render(std::ostringstream &, const std::shared_ptr & context) const override { + if (!value) throw std::runtime_error("SetNode.value is null"); + if (!ns.empty()) { + if (var_names.size() != 1) { + throw std::runtime_error("Namespaced set only supports a single variable name"); + } + auto & name = var_names[0]; + auto ns_value = context->get(ns); + if (!ns_value.is_object()) throw std::runtime_error("Namespace '" + ns + "' is not an object"); + ns_value.set(name, this->value->evaluate(context)); + } else { + auto val = value->evaluate(context); + destructuring_assign(var_names, context, val); + } + } +}; + +class SetTemplateNode : public TemplateNode { + std::string name; + std::shared_ptr template_value; +public: + SetTemplateNode(const Location & location, const std::string & name, std::shared_ptr && tv) + : TemplateNode(location), name(name), template_value(std::move(tv)) {} + void do_render(std::ostringstream &, const std::shared_ptr & context) const override { + if (!template_value) throw std::runtime_error("SetTemplateNode.template_value is null"); + Value value { template_value->render(context) }; + context->set(name, value); + } +}; + +class IfExpr : public Expression { + std::shared_ptr condition; + std::shared_ptr then_expr; + std::shared_ptr else_expr; +public: + IfExpr(const Location & location, std::shared_ptr && c, std::shared_ptr && t, std::shared_ptr && e) + : Expression(location), condition(std::move(c)), then_expr(std::move(t)), else_expr(std::move(e)) {} + Value do_evaluate(const std::shared_ptr & context) const override { + if (!condition) throw std::runtime_error("IfExpr.condition is null"); + if (!then_expr) throw std::runtime_error("IfExpr.then_expr is null"); + if (condition->evaluate(context).to_bool()) { + return then_expr->evaluate(context); + } + if (else_expr) { + return else_expr->evaluate(context); + } + return nullptr; + } +}; + +class LiteralExpr : public Expression { + Value value; +public: + LiteralExpr(const Location & location, const Value& v) + : Expression(location), value(v) {} + Value do_evaluate(const std::shared_ptr &) const override { return value; } +}; + +class ArrayExpr : public Expression { + std::vector> elements; +public: + ArrayExpr(const Location & location, std::vector> && e) + : Expression(location), elements(std::move(e)) {} + Value do_evaluate(const std::shared_ptr & context) const override { + auto result = Value::array(); + for (const auto& e : elements) { + if (!e) throw std::runtime_error("Array element is null"); + result.push_back(e->evaluate(context)); + } + return result; + } +}; + +class DictExpr : public Expression { + std::vector, std::shared_ptr>> elements; +public: + DictExpr(const Location & location, std::vector, std::shared_ptr>> && e) + : Expression(location), elements(std::move(e)) {} + Value do_evaluate(const std::shared_ptr & context) const override { + auto result = Value::object(); + for (const auto& [key, value] : elements) { + if (!key) throw std::runtime_error("Dict key is null"); + if (!value) throw std::runtime_error("Dict value is null"); + result.set(key->evaluate(context), value->evaluate(context)); + } + return result; + } +}; + +class SliceExpr : public Expression { +public: + std::shared_ptr start, end; + SliceExpr(const Location & location, std::shared_ptr && s, std::shared_ptr && e) + : Expression(location), start(std::move(s)), end(std::move(e)) {} + Value do_evaluate(const std::shared_ptr &) const override { + throw std::runtime_error("SliceExpr not implemented"); + } +}; + +class SubscriptExpr : public Expression { + std::shared_ptr base; + std::shared_ptr index; +public: + SubscriptExpr(const Location & location, std::shared_ptr && b, std::shared_ptr && i) + : Expression(location), base(std::move(b)), index(std::move(i)) {} + Value do_evaluate(const std::shared_ptr & context) const override { + if (!base) throw std::runtime_error("SubscriptExpr.base is null"); + if (!index) throw std::runtime_error("SubscriptExpr.index is null"); + auto target_value = base->evaluate(context); + if (auto slice = dynamic_cast(index.get())) { + auto start = slice->start ? slice->start->evaluate(context).get() : 0; + auto end = slice->end ? slice->end->evaluate(context).get() : (int64_t) target_value.size(); + if (target_value.is_string()) { + std::string s = target_value.get(); + if (start < 0) start = s.size() + start; + if (end < 0) end = s.size() + end; + return s.substr(start, end - start); + } else if (target_value.is_array()) { + if (start < 0) start = target_value.size() + start; + if (end < 0) end = target_value.size() + end; + auto result = Value::array(); + for (auto i = start; i < end; ++i) { + result.push_back(target_value.at(i)); + } + return result; + } else { + throw std::runtime_error(target_value.is_null() ? "Cannot subscript null" : "Subscripting only supported on arrays and strings"); + } + } else { + auto index_value = index->evaluate(context); + if (target_value.is_null()) { + if (auto t = dynamic_cast(base.get())) { + throw std::runtime_error("'" + t->get_name() + "' is " + (context->contains(t->get_name()) ? "null" : "not defined")); + } + throw std::runtime_error("Trying to access property '" + index_value.dump() + "' on null!"); + } + return target_value.get(index_value); + } + } +}; + +class UnaryOpExpr : public Expression { +public: + enum class Op { Plus, Minus, LogicalNot, Expansion, ExpansionDict }; + std::shared_ptr expr; + Op op; + UnaryOpExpr(const Location & location, std::shared_ptr && e, Op o) + : Expression(location), expr(std::move(e)), op(o) {} + Value do_evaluate(const std::shared_ptr & context) const override { + if (!expr) throw std::runtime_error("UnaryOpExpr.expr is null"); + auto e = expr->evaluate(context); + switch (op) { + case Op::Plus: return e; + case Op::Minus: return -e; + case Op::LogicalNot: return !e.to_bool(); + case Op::Expansion: + case Op::ExpansionDict: + throw std::runtime_error("Expansion operator is only supported in function calls and collections"); + + } + throw std::runtime_error("Unknown unary operator"); + } +}; + +class BinaryOpExpr : public Expression { +public: + enum class Op { StrConcat, Add, Sub, Mul, MulMul, Div, DivDiv, Mod, Eq, Ne, Lt, Gt, Le, Ge, And, Or, In, NotIn, Is, IsNot }; +private: + std::shared_ptr left; + std::shared_ptr right; + Op op; +public: + BinaryOpExpr(const Location & location, std::shared_ptr && l, std::shared_ptr && r, Op o) + : Expression(location), left(std::move(l)), right(std::move(r)), op(o) {} + Value do_evaluate(const std::shared_ptr & context) const override { + if (!left) throw std::runtime_error("BinaryOpExpr.left is null"); + if (!right) throw std::runtime_error("BinaryOpExpr.right is null"); + auto l = left->evaluate(context); + + auto do_eval = [&](const Value & l) -> Value { + if (op == Op::Is || op == Op::IsNot) { + auto t = dynamic_cast(right.get()); + if (!t) throw std::runtime_error("Right side of 'is' operator must be a variable"); + + auto eval = [&]() { + const auto & name = t->get_name(); + if (name == "none") return l.is_null(); + if (name == "boolean") return l.is_boolean(); + if (name == "integer") return l.is_number_integer(); + if (name == "float") return l.is_number_float(); + if (name == "number") return l.is_number(); + if (name == "string") return l.is_string(); + if (name == "mapping") return l.is_object(); + if (name == "iterable") return l.is_iterable(); + if (name == "sequence") return l.is_array(); + if (name == "defined") return !l.is_null(); + throw std::runtime_error("Unknown type for 'is' operator: " + name); + }; + auto value = eval(); + return Value(op == Op::Is ? value : !value); + } + + if (op == Op::And) { + if (!l.to_bool()) return Value(false); + return right->evaluate(context).to_bool(); + } else if (op == Op::Or) { + if (l.to_bool()) return l; + return right->evaluate(context); + } + + auto r = right->evaluate(context); + switch (op) { + case Op::StrConcat: return l.to_str() + r.to_str(); + case Op::Add: return l + r; + case Op::Sub: return l - r; + case Op::Mul: return l * r; + case Op::Div: return l / r; + case Op::MulMul: return std::pow(l.get(), r.get()); + case Op::DivDiv: return l.get() / r.get(); + case Op::Mod: return l.get() % r.get(); + case Op::Eq: return l == r; + case Op::Ne: return l != r; + case Op::Lt: return l < r; + case Op::Gt: return l > r; + case Op::Le: return l <= r; + case Op::Ge: return l >= r; + case Op::In: return (r.is_array() || r.is_object()) && r.contains(l); + case Op::NotIn: return !(r.is_array() && r.contains(l)); + default: break; + } + throw std::runtime_error("Unknown binary operator"); + }; + + if (l.is_callable()) { + return Value::callable([l, do_eval](const std::shared_ptr & context, ArgumentsValue & args) { + auto ll = l.call(context, args); + return do_eval(ll); //args[0].second); + }); + } else { + return do_eval(l); + } + } +}; + +struct ArgumentsExpression { + std::vector> args; + std::vector>> kwargs; + + ArgumentsValue evaluate(const std::shared_ptr & context) const { + ArgumentsValue vargs; + for (const auto& arg : this->args) { + if (auto un_expr = std::dynamic_pointer_cast(arg)) { + if (un_expr->op == UnaryOpExpr::Op::Expansion) { + auto array = un_expr->expr->evaluate(context); + if (!array.is_array()) { + throw std::runtime_error("Expansion operator only supported on arrays"); + } + array.for_each([&](Value & value) { + vargs.args.push_back(value); + }); + continue; + } else if (un_expr->op == UnaryOpExpr::Op::ExpansionDict) { + auto dict = un_expr->expr->evaluate(context); + if (!dict.is_object()) { + throw std::runtime_error("ExpansionDict operator only supported on objects"); + } + dict.for_each([&](const Value & key) { + vargs.kwargs.push_back({key.get(), dict.at(key)}); + }); + continue; + } + } + vargs.args.push_back(arg->evaluate(context)); + } + for (const auto& [name, value] : this->kwargs) { + vargs.kwargs.push_back({name, value->evaluate(context)}); + } + return vargs; + } +}; + +static std::string strip(const std::string & s) { + auto start = s.find_first_not_of(" \t\n\r"); + if (start == std::string::npos) return ""; + auto end = s.find_last_not_of(" \t\n\r"); + return s.substr(start, end - start + 1); +} + +static std::string html_escape(const std::string & s) { + std::string result; + result.reserve(s.size()); + for (const auto & c : s) { + switch (c) { + case '&': result += "&"; break; + case '<': result += "<"; break; + case '>': result += ">"; break; + case '"': result += """; break; + case '\'': result += "'"; break; + default: result += c; break; + } + } + return result; +} + +class MethodCallExpr : public Expression { + std::shared_ptr object; + std::shared_ptr method; + ArgumentsExpression args; +public: + MethodCallExpr(const Location & location, std::shared_ptr && obj, std::shared_ptr && m, ArgumentsExpression && a) + : Expression(location), object(std::move(obj)), method(std::move(m)), args(std::move(a)) {} + Value do_evaluate(const std::shared_ptr & context) const override { + if (!object) throw std::runtime_error("MethodCallExpr.object is null"); + if (!method) throw std::runtime_error("MethodCallExpr.method is null"); + auto obj = object->evaluate(context); + auto vargs = args.evaluate(context); + if (obj.is_null()) { + throw std::runtime_error("Trying to call method '" + method->get_name() + "' on null"); + } + if (obj.is_array()) { + if (method->get_name() == "append") { + vargs.expectArgs("append method", {1, 1}, {0, 0}); + obj.push_back(vargs.args[0]); + return Value(); + } else if (method->get_name() == "pop") { + vargs.expectArgs("pop method", {0, 1}, {0, 0}); + return obj.pop(vargs.args.empty() ? Value() : vargs.args[0]); + } else if (method->get_name() == "insert") { + vargs.expectArgs("insert method", {2, 2}, {0, 0}); + auto index = vargs.args[0].get(); + if (index < 0 || index > (int64_t) obj.size()) throw std::runtime_error("Index out of range for insert method"); + obj.insert(index, vargs.args[1]); + return Value(); + } + } else if (obj.is_object()) { + if (method->get_name() == "items") { + vargs.expectArgs("items method", {0, 0}, {0, 0}); + auto result = Value::array(); + for (const auto& key : obj.keys()) { + result.push_back(Value::array({key, obj.at(key)})); + } + return result; + } else if (method->get_name() == "pop") { + vargs.expectArgs("pop method", {1, 1}, {0, 0}); + return obj.pop(vargs.args[0]); + } else if (method->get_name() == "get") { + vargs.expectArgs("get method", {1, 2}, {0, 0}); + auto key = vargs.args[0]; + if (vargs.args.size() == 1) { + return obj.contains(key) ? obj.at(key) : Value(); + } else { + return obj.contains(key) ? obj.at(key) : vargs.args[1]; + } + } else if (obj.contains(method->get_name())) { + auto callable = obj.at(method->get_name()); + if (!callable.is_callable()) { + throw std::runtime_error("Property '" + method->get_name() + "' is not callable"); + } + return callable.call(context, vargs); + } + } else if (obj.is_string()) { + auto str = obj.get(); + if (method->get_name() == "strip") { + vargs.expectArgs("strip method", {0, 0}, {0, 0}); + return Value(strip(str)); + } else if (method->get_name() == "endswith") { + vargs.expectArgs("endswith method", {1, 1}, {0, 0}); + auto suffix = vargs.args[0].get(); + return suffix.length() <= str.length() && std::equal(suffix.rbegin(), suffix.rend(), str.rbegin()); + } else if (method->get_name() == "title") { + vargs.expectArgs("title method", {0, 0}, {0, 0}); + auto res = str; + for (size_t i = 0, n = res.size(); i < n; ++i) { + if (i == 0 || std::isspace(res[i - 1])) res[i] = std::toupper(res[i]); + else res[i] = std::tolower(res[i]); + } + return res; + } + } + throw std::runtime_error("Unknown method: " + method->get_name()); + } +}; + +class CallExpr : public Expression { +public: + std::shared_ptr object; + ArgumentsExpression args; + CallExpr(const Location & location, std::shared_ptr && obj, ArgumentsExpression && a) + : Expression(location), object(std::move(obj)), args(std::move(a)) {} + Value do_evaluate(const std::shared_ptr & context) const override { + if (!object) throw std::runtime_error("CallExpr.object is null"); + auto obj = object->evaluate(context); + if (!obj.is_callable()) { + throw std::runtime_error("Object is not callable: " + obj.dump(2)); + } + auto vargs = args.evaluate(context); + return obj.call(context, vargs); + } +}; + +class FilterExpr : public Expression { + std::vector> parts; +public: + FilterExpr(const Location & location, std::vector> && p) + : Expression(location), parts(std::move(p)) {} + Value do_evaluate(const std::shared_ptr & context) const override { + Value result; + bool first = true; + for (const auto& part : parts) { + if (!part) throw std::runtime_error("FilterExpr.part is null"); + if (first) { + first = false; + result = part->evaluate(context); + } else { + if (auto ce = dynamic_cast(part.get())) { + auto target = ce->object->evaluate(context); + ArgumentsValue args = ce->args.evaluate(context); + args.args.insert(args.args.begin(), result); + result = target.call(context, args); + } else { + auto callable = part->evaluate(context); + ArgumentsValue args; + args.args.insert(args.args.begin(), result); + result = callable.call(context, args); + } + } + } + return result; + } + + void prepend(std::shared_ptr && e) { + parts.insert(parts.begin(), std::move(e)); + } +}; + +class Parser { +private: + using CharIterator = std::string::const_iterator; + + std::shared_ptr template_str; + CharIterator start, end, it; + Options options; + + Parser(const std::shared_ptr& template_str, const Options & options) : template_str(template_str), options(options) { + if (!template_str) throw std::runtime_error("Template string is null"); + start = it = this->template_str->begin(); + end = this->template_str->end(); + } + + bool consumeSpaces(SpaceHandling space_handling = SpaceHandling::Strip) { + if (space_handling == SpaceHandling::Strip) { + while (it != end && std::isspace(*it)) ++it; + } + return true; + } + + std::unique_ptr parseString() { + auto doParse = [&](char quote) -> std::unique_ptr { + if (it == end || *it != quote) return nullptr; + std::string result; + bool escape = false; + for (++it; it != end; ++it) { + if (escape) { + escape = false; + switch (*it) { + case 'n': result += '\n'; break; + case 'r': result += '\r'; break; + case 't': result += '\t'; break; + case 'b': result += '\b'; break; + case 'f': result += '\f'; break; + case '\\': result += '\\'; break; + default: + if (*it == quote) { + result += quote; + } else { + result += *it; + } + break; + } + } else if (*it == '\\') { + escape = true; + } else if (*it == quote) { + ++it; + return std::make_unique(std::move(result)); + } else { + result += *it; + } + } + return nullptr; + }; + + consumeSpaces(); + if (it == end) return nullptr; + if (*it == '"') return doParse('"'); + if (*it == '\'') return doParse('\''); + return nullptr; + } + + json parseNumber(CharIterator& it, const CharIterator& end) { + auto before = it; + consumeSpaces(); + auto start = it; + bool hasDecimal = false; + bool hasExponent = false; + + if (it != end && (*it == '-' || *it == '+')) ++it; + + while (it != end) { + if (std::isdigit(*it)) { + ++it; + } else if (*it == '.') { + if (hasDecimal) throw std::runtime_error("Multiple decimal points"); + hasDecimal = true; + ++it; + } else if (it != start && (*it == 'e' || *it == 'E')) { + if (hasExponent) throw std::runtime_error("Multiple exponents"); + hasExponent = true; + ++it; + } else { + break; + } + } + if (start == it) { + it = before; + return json(); // No valid characters found + } + + std::string str(start, it); + try { + return json::parse(str); + } catch (json::parse_error& e) { + throw std::runtime_error("Failed to parse number: '" + str + "' (" + std::string(e.what()) + ")"); + return json(); + } + } + + /** integer, float, bool, string */ + std::shared_ptr parseConstant() { + auto start = it; + consumeSpaces(); + if (it == end) return nullptr; + if (*it == '"' || *it == '\'') { + auto str = parseString(); + if (str) return std::make_shared(*str); + } + static std::regex prim_tok(R"(true\b|True\b|false\b|False\b|None\b)"); + auto token = consumeToken(prim_tok); + if (!token.empty()) { + if (token == "true" || token == "True") return std::make_shared(true); + if (token == "false" || token == "False") return std::make_shared(false); + if (token == "None") return std::make_shared(nullptr); + throw std::runtime_error("Unknown constant token: " + token); + } + + auto number = parseNumber(it, end); + if (!number.is_null()) return std::make_shared(number); + + it = start; + return nullptr; + } + + class expression_parsing_error : public std::runtime_error { + const CharIterator it; + public: + expression_parsing_error(const std::string & message, const CharIterator & it) + : std::runtime_error(message), it(it) {} + size_t get_pos(const CharIterator & begin) const { + return std::distance(begin, it); + } + }; + + bool peekSymbols(const std::vector & symbols) const { + for (const auto & symbol : symbols) { + if (std::distance(it, end) >= (int64_t) symbol.size() && std::string(it, it + symbol.size()) == symbol) { + return true; + } + } + return false; + } + + std::vector consumeTokenGroups(const std::regex & regex, SpaceHandling space_handling = SpaceHandling::Strip) { + auto start = it; + consumeSpaces(space_handling); + std::smatch match; + if (std::regex_search(it, end, match, regex) && match.position() == 0) { + it += match[0].length(); + std::vector ret; + for (size_t i = 0, n = match.size(); i < n; ++i) { + ret.push_back(match[i].str()); + } + return ret; + } + it = start; + return {}; + } + std::string consumeToken(const std::regex & regex, SpaceHandling space_handling = SpaceHandling::Strip) { + auto start = it; + consumeSpaces(space_handling); + std::smatch match; + if (std::regex_search(it, end, match, regex) && match.position() == 0) { + it += match[0].length(); + return match[0].str(); + } + it = start; + return ""; + } + + std::string consumeToken(const std::string & token, SpaceHandling space_handling = SpaceHandling::Strip) { + auto start = it; + consumeSpaces(space_handling); + if (std::distance(it, end) >= (int64_t) token.size() && std::string(it, it + token.size()) == token) { + it += token.size(); + return token; + } + it = start; + return ""; + } + + std::shared_ptr parseExpression(bool allow_if_expr = true) { + auto left = parseLogicalOr(); + if (it == end) return left; + + if (!allow_if_expr) return left; + + static std::regex if_tok(R"(if\b)"); + if (consumeToken(if_tok).empty()) { + return left; + } + + auto location = get_location(); + auto [condition, else_expr] = parseIfExpression(); + return std::make_shared(location, std::move(condition), std::move(left), std::move(else_expr)); + } + + Location get_location() const { + return {template_str, (size_t) std::distance(start, it)}; + } + + std::pair, std::shared_ptr> parseIfExpression() { + auto condition = parseLogicalOr(); + if (!condition) throw std::runtime_error("Expected condition expression"); + + static std::regex else_tok(R"(else\b)"); + std::shared_ptr else_expr; + if (!consumeToken(else_tok).empty()) { + else_expr = parseExpression(); + if (!else_expr) throw std::runtime_error("Expected 'else' expression"); + } + return std::pair(std::move(condition), std::move(else_expr)); + } + + std::shared_ptr parseLogicalOr() { + auto left = parseLogicalAnd(); + if (!left) throw std::runtime_error("Expected left side of 'logical or' expression"); + + static std::regex or_tok(R"(or\b)"); + auto location = get_location(); + while (!consumeToken(or_tok).empty()) { + auto right = parseLogicalAnd(); + if (!right) throw std::runtime_error("Expected right side of 'or' expression"); + left = std::make_shared(location, std::move(left), std::move(right), BinaryOpExpr::Op::Or); + } + return left; + } + + std::shared_ptr parseLogicalNot() { + static std::regex not_tok(R"(not\b)"); + auto location = get_location(); + + if (!consumeToken(not_tok).empty()) { + auto sub = parseLogicalNot(); + if (!sub) throw std::runtime_error("Expected expression after 'not' keyword"); + return std::make_shared(location, std::move(sub), UnaryOpExpr::Op::LogicalNot); + } + return parseLogicalCompare(); + } + + std::shared_ptr parseLogicalAnd() { + auto left = parseLogicalNot(); + if (!left) throw std::runtime_error("Expected left side of 'logical and' expression"); + + static std::regex and_tok(R"(and\b)"); + auto location = get_location(); + while (!consumeToken(and_tok).empty()) { + auto right = parseLogicalNot(); + if (!right) throw std::runtime_error("Expected right side of 'and' expression"); + left = std::make_shared(location, std::move(left), std::move(right), BinaryOpExpr::Op::And); + } + return left; + } + + std::shared_ptr parseLogicalCompare() { + auto left = parseStringConcat(); + if (!left) throw std::runtime_error("Expected left side of 'logical compare' expression"); + + static std::regex compare_tok(R"(==|!=|<=?|>=?|in\b|is\b|not[\r\n\s]+in\b)"); + static std::regex not_tok(R"(not\b)"); + std::string op_str; + while (!(op_str = consumeToken(compare_tok)).empty()) { + auto location = get_location(); + if (op_str == "is") { + auto negated = !consumeToken(not_tok).empty(); + + auto identifier = parseIdentifier(); + if (!identifier) throw std::runtime_error("Expected identifier after 'is' keyword"); + + return std::make_shared( + left->location, + std::move(left), std::move(identifier), + negated ? BinaryOpExpr::Op::IsNot : BinaryOpExpr::Op::Is); + } + auto right = parseStringConcat(); + if (!right) throw std::runtime_error("Expected right side of 'logical compare' expression"); + BinaryOpExpr::Op op; + if (op_str == "==") op = BinaryOpExpr::Op::Eq; + else if (op_str == "!=") op = BinaryOpExpr::Op::Ne; + else if (op_str == "<") op = BinaryOpExpr::Op::Lt; + else if (op_str == ">") op = BinaryOpExpr::Op::Gt; + else if (op_str == "<=") op = BinaryOpExpr::Op::Le; + else if (op_str == ">=") op = BinaryOpExpr::Op::Ge; + else if (op_str == "in") op = BinaryOpExpr::Op::In; + else if (op_str.substr(0, 3) == "not") op = BinaryOpExpr::Op::NotIn; + else throw std::runtime_error("Unknown comparison operator: " + op_str); + left = std::make_shared(get_location(), std::move(left), std::move(right), op); + } + return left; + } + + Expression::Parameters parseParameters() { + consumeSpaces(); + if (consumeToken("(").empty()) throw std::runtime_error("Expected opening parenthesis in param list"); + + Expression::Parameters result; + + while (it != end) { + if (!consumeToken(")").empty()) { + return result; + } + auto expr = parseExpression(); + if (!expr) throw std::runtime_error("Expected expression in call args"); + + if (auto ident = dynamic_cast(expr.get())) { + if (!consumeToken("=").empty()) { + auto value = parseExpression(); + if (!value) throw std::runtime_error("Expected expression in for named arg"); + result.emplace_back(ident->get_name(), std::move(value)); + } else { + result.emplace_back(ident->get_name(), nullptr); + } + } else { + result.emplace_back(std::string(), std::move(expr)); + } + if (consumeToken(",").empty()) { + if (consumeToken(")").empty()) { + throw std::runtime_error("Expected closing parenthesis in call args"); + } + return result; + } + } + throw std::runtime_error("Expected closing parenthesis in call args"); + } + + ArgumentsExpression parseCallArgs() { + consumeSpaces(); + if (consumeToken("(").empty()) throw std::runtime_error("Expected opening parenthesis in call args"); + + ArgumentsExpression result; + + while (it != end) { + if (!consumeToken(")").empty()) { + return result; + } + auto expr = parseExpression(); + if (!expr) throw std::runtime_error("Expected expression in call args"); + + if (auto ident = dynamic_cast(expr.get())) { + if (!consumeToken("=").empty()) { + auto value = parseExpression(); + if (!value) throw std::runtime_error("Expected expression in for named arg"); + result.kwargs.emplace_back(ident->get_name(), std::move(value)); + } else { + result.args.emplace_back(std::move(expr)); + } + } else { + result.args.emplace_back(std::move(expr)); + } + if (consumeToken(",").empty()) { + if (consumeToken(")").empty()) { + throw std::runtime_error("Expected closing parenthesis in call args"); + } + return result; + } + } + throw std::runtime_error("Expected closing parenthesis in call args"); + } + + std::shared_ptr parseIdentifier() { + static std::regex ident_regex(R"((?!(?:not|is|and|or|del)\b)[a-zA-Z_]\w*)"); + auto location = get_location(); + auto ident = consumeToken(ident_regex); + if (ident.empty()) + return nullptr; + return std::make_shared(location, ident); + } + + std::shared_ptr parseStringConcat() { + auto left = parseMathPow(); + if (!left) throw std::runtime_error("Expected left side of 'string concat' expression"); + + static std::regex concat_tok(R"(~(?!\}))"); + if (!consumeToken(concat_tok).empty()) { + auto right = parseLogicalAnd(); + if (!right) throw std::runtime_error("Expected right side of 'string concat' expression"); + left = std::make_shared(get_location(), std::move(left), std::move(right), BinaryOpExpr::Op::StrConcat); + } + return left; + } + + std::shared_ptr parseMathPow() { + auto left = parseMathPlusMinus(); + if (!left) throw std::runtime_error("Expected left side of 'math pow' expression"); + + while (!consumeToken("**").empty()) { + auto right = parseMathPlusMinus(); + if (!right) throw std::runtime_error("Expected right side of 'math pow' expression"); + left = std::make_shared(get_location(), std::move(left), std::move(right), BinaryOpExpr::Op::MulMul); + } + return left; + } + + std::shared_ptr parseMathPlusMinus() { + static std::regex plus_minus_tok(R"(\+|-(?![}%#]\}))"); + + auto left = parseMathMulDiv(); + if (!left) throw std::runtime_error("Expected left side of 'math plus/minus' expression"); + std::string op_str; + while (!(op_str = consumeToken(plus_minus_tok)).empty()) { + auto right = parseMathMulDiv(); + if (!right) throw std::runtime_error("Expected right side of 'math plus/minus' expression"); + auto op = op_str == "+" ? BinaryOpExpr::Op::Add : BinaryOpExpr::Op::Sub; + left = std::make_shared(get_location(), std::move(left), std::move(right), op); + } + return left; + } + + std::shared_ptr parseMathMulDiv() { + auto left = parseMathUnaryPlusMinus(); + if (!left) throw std::runtime_error("Expected left side of 'math mul/div' expression"); + + static std::regex mul_div_tok(R"(\*\*?|//?|%(?!\}))"); + std::string op_str; + while (!(op_str = consumeToken(mul_div_tok)).empty()) { + auto right = parseMathUnaryPlusMinus(); + if (!right) throw std::runtime_error("Expected right side of 'math mul/div' expression"); + auto op = op_str == "*" ? BinaryOpExpr::Op::Mul + : op_str == "**" ? BinaryOpExpr::Op::MulMul + : op_str == "/" ? BinaryOpExpr::Op::Div + : op_str == "//" ? BinaryOpExpr::Op::DivDiv + : BinaryOpExpr::Op::Mod; + left = std::make_shared(get_location(), std::move(left), std::move(right), op); + } + + if (!consumeToken("|").empty()) { + auto expr = parseMathMulDiv(); + if (auto filter = dynamic_cast(expr.get())) { + filter->prepend(std::move(left)); + return expr; + } else { + std::vector> parts; + parts.emplace_back(std::move(left)); + parts.emplace_back(std::move(expr)); + return std::make_shared(get_location(), std::move(parts)); + } + } + return left; + } + + std::shared_ptr call_func(const std::string & name, ArgumentsExpression && args) const { + return std::make_shared(get_location(), std::make_shared(get_location(), name), std::move(args)); + } + + std::shared_ptr parseMathUnaryPlusMinus() { + static std::regex unary_plus_minus_tok(R"(\+|-(?![}%#]\}))"); + auto op_str = consumeToken(unary_plus_minus_tok); + auto expr = parseExpansion(); + if (!expr) throw std::runtime_error("Expected expr of 'unary plus/minus/expansion' expression"); + + if (!op_str.empty()) { + auto op = op_str == "+" ? UnaryOpExpr::Op::Plus : UnaryOpExpr::Op::Minus; + return std::make_shared(get_location(), std::move(expr), op); + } + return expr; + } + + std::shared_ptr parseExpansion() { + static std::regex expansion_tok(R"(\*\*?)"); + auto op_str = consumeToken(expansion_tok); + auto expr = parseValueExpression(); + if (op_str.empty()) return expr; + if (!expr) throw std::runtime_error("Expected expr of 'expansion' expression"); + return std::make_shared(get_location(), std::move(expr), op_str == "*" ? UnaryOpExpr::Op::Expansion : UnaryOpExpr::Op::ExpansionDict); + } + + std::shared_ptr parseValueExpression() { + auto parseValue = [&]() -> std::shared_ptr { + auto location = get_location(); + auto constant = parseConstant(); + if (constant) return std::make_shared(location, *constant); + + static std::regex null_regex(R"(null\b)"); + if (!consumeToken(null_regex).empty()) return std::make_shared(location, Value()); + + auto identifier = parseIdentifier(); + if (identifier) return identifier; + + auto braced = parseBracedExpressionOrArray(); + if (braced) return braced; + + auto array = parseArray(); + if (array) return array; + + auto dictionary = parseDictionary(); + if (dictionary) return dictionary; + + throw std::runtime_error("Expected value expression"); + }; + + auto value = parseValue(); + + while (it != end && consumeSpaces() && peekSymbols({ "[", "." })) { + if (!consumeToken("[").empty()) { + std::shared_ptr index; + if (!consumeToken(":").empty()) { + auto slice_end = parseExpression(); + index = std::make_shared(slice_end->location, nullptr, std::move(slice_end)); + } else { + auto slice_start = parseExpression(); + if (!consumeToken(":").empty()) { + consumeSpaces(); + if (peekSymbols({ "]" })) { + index = std::make_shared(slice_start->location, std::move(slice_start), nullptr); + } else { + auto slice_end = parseExpression(); + index = std::make_shared(slice_start->location, std::move(slice_start), std::move(slice_end)); + } + } else { + index = std::move(slice_start); + } + } + if (!index) throw std::runtime_error("Empty index in subscript"); + if (consumeToken("]").empty()) throw std::runtime_error("Expected closing bracket in subscript"); + + value = std::make_shared(value->location, std::move(value), std::move(index)); + } else if (!consumeToken(".").empty()) { + auto identifier = parseIdentifier(); + if (!identifier) throw std::runtime_error("Expected identifier in subscript"); + + consumeSpaces(); + if (peekSymbols({ "(" })) { + auto callParams = parseCallArgs(); + value = std::make_shared(identifier->location, std::move(value), std::move(identifier), std::move(callParams)); + } else { + auto key = std::make_shared(identifier->location, Value(identifier->get_name())); + value = std::make_shared(identifier->location, std::move(value), std::move(key)); + } + } + consumeSpaces(); + } + + if (peekSymbols({ "(" })) { + auto location = get_location(); + auto callParams = parseCallArgs(); + value = std::make_shared(location, std::move(value), std::move(callParams)); + } + return value; + } + + std::shared_ptr parseBracedExpressionOrArray() { + if (consumeToken("(").empty()) return nullptr; + + auto expr = parseExpression(); + if (!expr) throw std::runtime_error("Expected expression in braced expression"); + + if (!consumeToken(")").empty()) { + return expr; // Drop the parentheses + } + + std::vector> tuple; + tuple.emplace_back(std::move(expr)); + + while (it != end) { + if (consumeToken(",").empty()) throw std::runtime_error("Expected comma in tuple"); + auto next = parseExpression(); + if (!next) throw std::runtime_error("Expected expression in tuple"); + tuple.push_back(std::move(next)); + + if (!consumeToken(")").empty()) { + return std::make_shared(get_location(), std::move(tuple)); + } + } + throw std::runtime_error("Expected closing parenthesis"); + } + + std::shared_ptr parseArray() { + if (consumeToken("[").empty()) return nullptr; + + std::vector> elements; + if (!consumeToken("]").empty()) { + return std::make_shared(get_location(), std::move(elements)); + } + auto first_expr = parseExpression(); + if (!first_expr) throw std::runtime_error("Expected first expression in array"); + elements.push_back(std::move(first_expr)); + + while (it != end) { + if (!consumeToken(",").empty()) { + auto expr = parseExpression(); + if (!expr) throw std::runtime_error("Expected expression in array"); + elements.push_back(std::move(expr)); + } else if (!consumeToken("]").empty()) { + return std::make_shared(get_location(), std::move(elements)); + } else { + throw std::runtime_error("Expected comma or closing bracket in array"); + } + } + throw std::runtime_error("Expected closing bracket"); + } + + std::shared_ptr parseDictionary() { + if (consumeToken("{").empty()) return nullptr; + + std::vector, std::shared_ptr>> elements; + if (!consumeToken("}").empty()) { + return std::make_shared(get_location(), std::move(elements)); + } + + auto parseKeyValuePair = [&]() { + auto key = parseExpression(); + if (!key) throw std::runtime_error("Expected key in dictionary"); + if (consumeToken(":").empty()) throw std::runtime_error("Expected colon betweek key & value in dictionary"); + auto value = parseExpression(); + if (!value) throw std::runtime_error("Expected value in dictionary"); + elements.emplace_back(std::pair(std::move(key), std::move(value))); + }; + + parseKeyValuePair(); + + while (it != end) { + if (!consumeToken(",").empty()) { + parseKeyValuePair(); + } else if (!consumeToken("}").empty()) { + return std::make_shared(get_location(), std::move(elements)); + } else { + throw std::runtime_error("Expected comma or closing brace in dictionary"); + } + } + throw std::runtime_error("Expected closing brace"); + } + + SpaceHandling parsePreSpace(const std::string& s) const { + if (s == "-") + return SpaceHandling::Strip; + return SpaceHandling::Keep; + } + + SpaceHandling parsePostSpace(const std::string& s) const { + if (s == "-") return SpaceHandling::Strip; + return SpaceHandling::Keep; + } + + using TemplateTokenVector = std::vector>; + using TemplateTokenIterator = TemplateTokenVector::const_iterator; + + std::vector parseVarNames() { + static std::regex varnames_regex(R"(((?:\w+)(?:[\r\n\s]*,[\r\n\s]*(?:\w+))*)[\r\n\s]*)"); + + std::vector group; + if ((group = consumeTokenGroups(varnames_regex)).empty()) throw std::runtime_error("Expected variable names"); + std::vector varnames; + std::istringstream iss(group[1]); + std::string varname; + while (std::getline(iss, varname, ',')) { + varnames.push_back(strip(varname)); + } + return varnames; + } + + std::runtime_error unexpected(const TemplateToken & token) const { + return std::runtime_error("Unexpected " + TemplateToken::typeToString(token.type) + + error_location_suffix(*template_str, token.location.pos)); + } + std::runtime_error unterminated(const TemplateToken & token) const { + return std::runtime_error("Unterminated " + TemplateToken::typeToString(token.type) + + error_location_suffix(*template_str, token.location.pos)); + } + + TemplateTokenVector tokenize() { + static std::regex comment_tok(R"(\{#([-~]?)(.*?)([-~]?)#\})"); + static std::regex expr_open_regex(R"(\{\{([-~])?)"); + static std::regex block_open_regex(R"(^\{%([-~])?[\s\n\r]*)"); + static std::regex block_keyword_tok(R"((if|else|elif|endif|for|endfor|set|endset|block|endblock|macro|endmacro|filter|endfilter)\b)"); + static std::regex non_text_open_regex(R"(\{\{|\{%|\{#)"); + static std::regex expr_close_regex(R"([\s\n\r]*([-~])?\}\})"); + static std::regex block_close_regex(R"([\s\n\r]*([-~])?%\})"); + + TemplateTokenVector tokens; + std::vector group; + std::string text; + std::smatch match; + + try { + while (it != end) { + auto location = get_location(); + + if (!(group = consumeTokenGroups(comment_tok, SpaceHandling::Keep)).empty()) { + auto pre_space = parsePreSpace(group[1]); + auto content = group[2]; + auto post_space = parsePostSpace(group[3]); + tokens.push_back(std::make_unique(location, pre_space, post_space, content)); + } else if (!(group = consumeTokenGroups(expr_open_regex, SpaceHandling::Keep)).empty()) { + auto pre_space = parsePreSpace(group[1]); + auto expr = parseExpression(); + + if ((group = consumeTokenGroups(expr_close_regex)).empty()) { + throw std::runtime_error("Expected closing expression tag"); + } + + auto post_space = parsePostSpace(group[1]); + tokens.push_back(std::make_unique(location, pre_space, post_space, std::move(expr))); + } else if (!(group = consumeTokenGroups(block_open_regex, SpaceHandling::Keep)).empty()) { + auto pre_space = parsePreSpace(group[1]); + + std::string keyword; + + auto parseBlockClose = [&]() -> SpaceHandling { + if ((group = consumeTokenGroups(block_close_regex)).empty()) throw std::runtime_error("Expected closing block tag"); + return parsePostSpace(group[1]); + }; + + if ((keyword = consumeToken(block_keyword_tok)).empty()) throw std::runtime_error("Expected block keyword"); + + if (keyword == "if") { + auto condition = parseExpression(); + if (!condition) throw std::runtime_error("Expected condition in if block"); + + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space, std::move(condition))); + } else if (keyword == "elif") { + auto condition = parseExpression(); + if (!condition) throw std::runtime_error("Expected condition in elif block"); + + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space, std::move(condition))); + } else if (keyword == "else") { + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space)); + } else if (keyword == "endif") { + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space)); + } else if (keyword == "for") { + static std::regex recursive_tok(R"(recursive\b)"); + static std::regex if_tok(R"(if\b)"); + + auto varnames = parseVarNames(); + static std::regex in_tok(R"(in\b)"); + if (consumeToken(in_tok).empty()) throw std::runtime_error("Expected 'in' keyword in for block"); + auto iterable = parseExpression(/* allow_if_expr = */ false); + if (!iterable) throw std::runtime_error("Expected iterable in for block"); + + std::shared_ptr condition; + if (!consumeToken(if_tok).empty()) { + condition = parseExpression(); + } + auto recursive = !consumeToken(recursive_tok).empty(); + + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space, std::move(varnames), std::move(iterable), std::move(condition), recursive)); + } else if (keyword == "endfor") { + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space)); + } else if (keyword == "set") { + static std::regex namespaced_var_regex(R"((\w+)[\s\n\r]*\.[\s\n\r]*(\w+))"); + + std::string ns; + std::vector var_names; + std::shared_ptr value; + if (!(group = consumeTokenGroups(namespaced_var_regex)).empty()) { + ns = group[1]; + var_names.push_back(group[2]); + + if (consumeToken("=").empty()) throw std::runtime_error("Expected equals sign in set block"); + + value = parseExpression(); + if (!value) throw std::runtime_error("Expected value in set block"); + } else { + var_names = parseVarNames(); + + if (!consumeToken("=").empty()) { + value = parseExpression(); + if (!value) throw std::runtime_error("Expected value in set block"); + } + } + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space, ns, var_names, std::move(value))); + } else if (keyword == "endset") { + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space)); + } else if (keyword == "macro") { + auto macroname = parseIdentifier(); + if (!macroname) throw std::runtime_error("Expected macro name in macro block"); + auto params = parseParameters(); + + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space, std::move(macroname), std::move(params))); + } else if (keyword == "endmacro") { + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space)); + } else if (keyword == "filter") { + auto filter = parseExpression(); + if (!filter) throw std::runtime_error("Expected expression in filter block"); + + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space, std::move(filter))); + } else if (keyword == "endfilter") { + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space)); + } else { + throw std::runtime_error("Unexpected block: " + keyword); + } + } else if (std::regex_search(it, end, match, non_text_open_regex)) { + auto text_end = it + match.position(); + text = std::string(it, text_end); + it = text_end; + tokens.push_back(std::make_unique(location, SpaceHandling::Keep, SpaceHandling::Keep, text)); + } else { + text = std::string(it, end); + it = end; + tokens.push_back(std::make_unique(location, SpaceHandling::Keep, SpaceHandling::Keep, text)); + } + } + return tokens; + } catch (const std::exception & e) { + throw std::runtime_error(e.what() + error_location_suffix(*template_str, std::distance(start, it))); + } + } + + std::shared_ptr parseTemplate( + const TemplateTokenIterator & begin, + TemplateTokenIterator & it, + const TemplateTokenIterator & end, + bool fully = false) const { + std::vector> children; + while (it != end) { + const auto start = it; + const auto & token = *(it++); + if (auto if_token = dynamic_cast(token.get())) { + std::vector, std::shared_ptr>> cascade; + cascade.emplace_back(std::move(if_token->condition), parseTemplate(begin, it, end)); + + while (it != end && (*it)->type == TemplateToken::Type::Elif) { + auto elif_token = dynamic_cast((*(it++)).get()); + cascade.emplace_back(std::move(elif_token->condition), parseTemplate(begin, it, end)); + } + + if (it != end && (*it)->type == TemplateToken::Type::Else) { + cascade.emplace_back(nullptr, parseTemplate(begin, ++it, end)); + } + if (it == end || (*(it++))->type != TemplateToken::Type::EndIf) { + throw unterminated(**start); + } + children.emplace_back(std::make_shared(token->location, std::move(cascade))); + } else if (auto for_token = dynamic_cast(token.get())) { + auto body = parseTemplate(begin, it, end); + auto else_body = std::shared_ptr(); + if (it != end && (*it)->type == TemplateToken::Type::Else) { + else_body = parseTemplate(begin, ++it, end); + } + if (it == end || (*(it++))->type != TemplateToken::Type::EndFor) { + throw unterminated(**start); + } + children.emplace_back(std::make_shared(token->location, std::move(for_token->var_names), std::move(for_token->iterable), std::move(for_token->condition), std::move(body), for_token->recursive, std::move(else_body))); + } else if (auto text_token = dynamic_cast(token.get())) { + SpaceHandling pre_space = (it - 1) != begin ? (*(it - 2))->post_space : SpaceHandling::Keep; + SpaceHandling post_space = it != end ? (*it)->pre_space : SpaceHandling::Keep; + + auto text = text_token->text; + if (post_space == SpaceHandling::Strip) { + static std::regex trailing_space_regex(R"((\s|\r|\n)+$)"); + text = std::regex_replace(text, trailing_space_regex, ""); + } else if (options.lstrip_blocks && it != end) { + auto i = text.size(); + while (i > 0 && (text[i - 1] == ' ' || text[i - 1] == '\t')) i--; + if ((i == 0 && (it - 1) == begin) || (i > 0 && text[i - 1] == '\n')) { + text.resize(i); + } + } + if (pre_space == SpaceHandling::Strip) { + static std::regex leading_space_regex(R"(^(\s|\r|\n)+)"); + text = std::regex_replace(text, leading_space_regex, ""); + } else if (options.trim_blocks && (it - 1) != begin && !dynamic_cast((*(it - 2)).get())) { + if (text.length() > 0 && text[0] == '\n') { + text.erase(0, 1); + } + } + if (it == end && !options.keep_trailing_newline) { + auto i = text.size(); + if (i > 0 && text[i - 1] == '\n') { + i--; + if (i > 0 && text[i - 1] == '\r') i--; + text.resize(i); + } + } + children.emplace_back(std::make_shared(token->location, text)); + } else if (auto expr_token = dynamic_cast(token.get())) { + children.emplace_back(std::make_shared(token->location, std::move(expr_token->expr))); + } else if (auto set_token = dynamic_cast(token.get())) { + if (set_token->value) { + children.emplace_back(std::make_shared(token->location, set_token->ns, set_token->var_names, std::move(set_token->value))); + } else { + auto value_template = parseTemplate(begin, it, end); + if (it == end || (*(it++))->type != TemplateToken::Type::EndSet) { + throw unterminated(**start); + } + if (!set_token->ns.empty()) throw std::runtime_error("Namespaced set not supported in set with template value"); + if (set_token->var_names.size() != 1) throw std::runtime_error("Structural assignment not supported in set with template value"); + auto & name = set_token->var_names[0]; + children.emplace_back(std::make_shared(token->location, name, std::move(value_template))); + } + } else if (auto macro_token = dynamic_cast(token.get())) { + auto body = parseTemplate(begin, it, end); + if (it == end || (*(it++))->type != TemplateToken::Type::EndMacro) { + throw unterminated(**start); + } + children.emplace_back(std::make_shared(token->location, std::move(macro_token->name), std::move(macro_token->params), std::move(body))); + } else if (auto filter_token = dynamic_cast(token.get())) { + auto body = parseTemplate(begin, it, end); + if (it == end || (*(it++))->type != TemplateToken::Type::EndFilter) { + throw unterminated(**start); + } + children.emplace_back(std::make_shared(token->location, std::move(filter_token->filter), std::move(body))); + } else if (dynamic_cast(token.get())) { + // Ignore comments + } else if (dynamic_cast(token.get()) + || dynamic_cast(token.get()) + || dynamic_cast(token.get()) + || dynamic_cast(token.get()) + || dynamic_cast(token.get()) + || dynamic_cast(token.get()) + || dynamic_cast(token.get())) { + it--; // unconsume the token + break; // exit the loop + } else { + throw unexpected(**(it-1)); + } + } + if (fully && it != end) { + throw unexpected(**it); + } + if (children.empty()) { + return std::make_shared(Location { template_str, 0 }, std::string()); + } else if (children.size() == 1) { + return std::move(children[0]); + } else { + return std::make_shared(children[0]->location(), std::move(children)); + } + } + +public: + + static std::shared_ptr parse(const std::string& template_str, const Options & options) { + Parser parser(std::make_shared(normalize_newlines(template_str)), options); + auto tokens = parser.tokenize(); + TemplateTokenIterator begin = tokens.begin(); + auto it = begin; + TemplateTokenIterator end = tokens.end(); + return parser.parseTemplate(begin, it, end, /* full= */ true); + } +}; + +static Value simple_function(const std::string & fn_name, const std::vector & params, const std::function &, Value & args)> & fn) { + std::map named_positions; + for (size_t i = 0, n = params.size(); i < n; i++) named_positions[params[i]] = i; + + return Value::callable([=](const std::shared_ptr & context, ArgumentsValue & args) -> Value { + auto args_obj = Value::object(); + std::vector provided_args(params.size()); + for (size_t i = 0, n = args.args.size(); i < n; i++) { + auto & arg = args.args[i]; + if (i < params.size()) { + args_obj.set(params[i], arg); + provided_args[i] = true; + } else { + throw std::runtime_error("Too many positional params for " + fn_name); + } + } + for (auto & [name, value] : args.kwargs) { + auto named_pos_it = named_positions.find(name); + if (named_pos_it == named_positions.end()) { + throw std::runtime_error("Unknown argument " + name + " for function " + fn_name); + } + provided_args[named_pos_it->second] = true; + args_obj.set(name, value); + } + return fn(context, args_obj); + }); +} + +inline std::shared_ptr Context::builtins() { + auto globals = Value::object(); + + globals.set("raise_exception", simple_function("raise_exception", { "message" }, [](const std::shared_ptr &, Value & args) -> Value { + throw std::runtime_error(args.at("message").get()); + })); + globals.set("tojson", simple_function("tojson", { "value", "indent" }, [](const std::shared_ptr &, Value & args) { + return Value(args.at("value").dump(args.get("indent", -1), /* tojson= */ true)); + })); + globals.set("items", simple_function("items", { "object" }, [](const std::shared_ptr &, Value & args) { + auto items = Value::array(); + if (args.contains("object")) { + auto & obj = args.at("object"); + if (obj.is_string()) { + auto json_obj = json::parse(obj.get()); + for (const auto & kv : json_obj.items()) { + items.push_back(Value::array({kv.key(), kv.value()})); + } + } else if (!obj.is_null()) { + for (auto & key : obj.keys()) { + items.push_back(Value::array({key, obj.at(key)})); + } + } + } + return items; + })); + globals.set("last", simple_function("last", { "items" }, [](const std::shared_ptr &, Value & args) { + auto items = args.at("items"); + if (!items.is_array()) throw std::runtime_error("object is not a list"); + if (items.size() == 0) return Value(); + return items.at(items.size() - 1); + })); + globals.set("trim", simple_function("trim", { "text" }, [](const std::shared_ptr &, Value & args) { + auto & text = args.at("text"); + return text.is_null() ? text : Value(strip(text.get())); + })); + globals.set("lower", simple_function("lower", { "text" }, [](const std::shared_ptr &, Value & args) { + auto text = args.at("text"); + if (text.is_null()) return text; + std::string res; + auto str = text.get(); + std::transform(str.begin(), str.end(), std::back_inserter(res), ::tolower); + return Value(res); + })); + globals.set("default", Value::callable([=](const std::shared_ptr &, ArgumentsValue & args) { + args.expectArgs("default", {2, 3}, {0, 1}); + auto & value = args.args[0]; + auto & default_value = args.args[1]; + bool boolean = false; + if (args.args.size() == 3) { + boolean = args.args[2].get(); + } else { + Value bv = args.get_named("boolean"); + if (!bv.is_null()) { + boolean = bv.get(); + } + } + return boolean ? (value.to_bool() ? value : default_value) : value.is_null() ? default_value : value; + })); + auto escape = simple_function("escape", { "text" }, [](const std::shared_ptr &, Value & args) { + return Value(html_escape(args.at("text").get())); + }); + globals.set("e", escape); + globals.set("escape", escape); + globals.set("joiner", simple_function("joiner", { "sep" }, [](const std::shared_ptr &, Value & args) { + auto sep = args.get("sep", ""); + auto first = std::make_shared(true); + return simple_function("", {}, [sep, first](const std::shared_ptr &, const Value &) -> Value { + if (*first) { + *first = false; + return ""; + } + return sep; + }); + return Value(html_escape(args.at("text").get())); + })); + globals.set("count", simple_function("count", { "items" }, [](const std::shared_ptr &, Value & args) { + return Value((int64_t) args.at("items").size()); + })); + globals.set("dictsort", simple_function("dictsort", { "value" }, [](const std::shared_ptr &, Value & args) { + if (args.size() != 1) throw std::runtime_error("dictsort expects exactly 1 argument (TODO: fix implementation)"); + auto & value = args.at("value"); + auto keys = value.keys(); + std::sort(keys.begin(), keys.end()); + auto res = Value::array(); + for (auto & key : keys) { + res.push_back(Value::array({key, value.at(key)})); + } + return res; + })); + globals.set("join", simple_function("join", { "items", "d" }, [](const std::shared_ptr &, Value & args) { + auto do_join = [](Value & items, const std::string & sep) { + std::ostringstream oss; + auto first = true; + for (size_t i = 0, n = items.size(); i < n; ++i) { + if (first) first = false; + else oss << sep; + oss << items.at(i).to_str(); + } + return Value(oss.str()); + }; + auto sep = args.get("d", ""); + if (args.contains("items")) { + auto & items = args.at("items"); + return do_join(items, sep); + } else { + return simple_function("", {"items"}, [sep, do_join](const std::shared_ptr &, Value & args) { + auto & items = args.at("items"); + if (!items.to_bool() || !items.is_array()) throw std::runtime_error("join expects an array for items, got: " + items.dump()); + return do_join(items, sep); + }); + } + })); + globals.set("namespace", Value::callable([=](const std::shared_ptr &, ArgumentsValue & args) { + auto ns = Value::object(); + args.expectArgs("namespace", {0, 0}, {0, (std::numeric_limits::max)()}); + for (auto & [name, value] : args.kwargs) { + ns.set(name, value); + } + return ns; + })); + auto equalto = simple_function("equalto", { "expected", "actual" }, [](const std::shared_ptr &, Value & args) -> Value { + return args.at("actual") == args.at("expected"); + }); + globals.set("equalto", equalto); + globals.set("==", equalto); + globals.set("length", simple_function("length", { "items" }, [](const std::shared_ptr &, Value & args) -> Value { + auto & items = args.at("items"); + return (int64_t) items.size(); + })); + globals.set("safe", simple_function("safe", { "value" }, [](const std::shared_ptr &, Value & args) -> Value { + return args.at("value").to_str(); + })); + globals.set("string", simple_function("string", { "value" }, [](const std::shared_ptr &, Value & args) -> Value { + return args.at("value").to_str(); + })); + globals.set("int", simple_function("int", { "value" }, [](const std::shared_ptr &, Value & args) -> Value { + return args.at("value").to_int(); + })); + globals.set("list", simple_function("list", { "items" }, [](const std::shared_ptr &, Value & args) -> Value { + auto & items = args.at("items"); + if (!items.is_array()) throw std::runtime_error("object is not iterable"); + return items; + })); + globals.set("unique", simple_function("unique", { "items" }, [](const std::shared_ptr &, Value & args) -> Value { + auto & items = args.at("items"); + if (!items.is_array()) throw std::runtime_error("object is not iterable"); + std::unordered_set seen; + auto result = Value::array(); + for (size_t i = 0, n = items.size(); i < n; i++) { + auto pair = seen.insert(items.at(i)); + if (pair.second) { + result.push_back(items.at(i)); + } + } + return result; + })); + auto make_filter = [](const Value & filter, Value & extra_args) -> Value { + return simple_function("", { "value" }, [=](const std::shared_ptr & context, Value & args) { + auto & value = args.at("value"); + ArgumentsValue actual_args; + actual_args.args.emplace_back(value); + for (size_t i = 0, n = extra_args.size(); i < n; i++) { + actual_args.args.emplace_back(extra_args.at(i)); + } + return filter.call(context, actual_args); + }); + }; + // https://jinja.palletsprojects.com/en/3.0.x/templates/#jinja-filters.reject + globals.set("reject", Value::callable([=](const std::shared_ptr & context, ArgumentsValue & args) { + args.expectArgs("reject", {2, (std::numeric_limits::max)()}, {0, 0}); + auto & items = args.args[0]; + auto filter_fn = context->get(args.args[1]); + if (filter_fn.is_null()) throw std::runtime_error("Undefined filter: " + args.args[1].dump()); + + auto filter_args = Value::array(); + for (size_t i = 2, n = args.args.size(); i < n; i++) { + filter_args.push_back(args.args[i]); + } + auto filter = make_filter(filter_fn, filter_args); + + auto res = Value::array(); + for (size_t i = 0, n = items.size(); i < n; i++) { + auto & item = items.at(i); + ArgumentsValue filter_args; + filter_args.args.emplace_back(item); + auto pred_res = filter.call(context, filter_args); + if (!pred_res.to_bool()) { + res.push_back(item); + } + } + return res; + })); + globals.set("map", Value::callable([=](const std::shared_ptr & context, ArgumentsValue & args) { + auto res = Value::array(); + if (args.args.size() == 1 && + ((args.has_named("attribute") && args.kwargs.size() == 1) || (args.has_named("default") && args.kwargs.size() == 2))) { + auto & items = args.args[0]; + auto attr_name = args.get_named("attribute"); + auto default_value = args.get_named("default"); + for (size_t i = 0, n = items.size(); i < n; i++) { + auto & item = items.at(i); + auto attr = item.get(attr_name); + res.push_back(attr.is_null() ? default_value : attr); + } + } else if (args.kwargs.empty() && args.args.size() >= 2) { + auto fn = context->get(args.args[1]); + if (fn.is_null()) throw std::runtime_error("Undefined filter: " + args.args[1].dump()); + ArgumentsValue filter_args { {Value()}, {} }; + for (size_t i = 2, n = args.args.size(); i < n; i++) { + filter_args.args.emplace_back(args.args[i]); + } + for (size_t i = 0, n = args.args[0].size(); i < n; i++) { + auto & item = args.args[0].at(i); + filter_args.args[0] = item; + res.push_back(fn.call(context, filter_args)); + } + } else { + throw std::runtime_error("Invalid or unsupported arguments for map"); + } + return res; + })); + globals.set("indent", simple_function("indent", { "text", "indent", "first" }, [](const std::shared_ptr &, Value & args) { + auto text = args.at("text").get(); + auto first = args.get("first", false); + std::string out; + std::string indent(args.get("indent", 0), ' '); + std::istringstream iss(text); + std::string line; + auto is_first = true; + while (std::getline(iss, line, '\n')) { + auto needs_indent = !is_first || first; + if (is_first) is_first = false; + else out += "\n"; + if (needs_indent) out += indent; + out += line; + } + if (!text.empty() && text.back() == '\n') out += "\n"; + return out; + })); + globals.set("selectattr", Value::callable([=](const std::shared_ptr & context, ArgumentsValue & args) { + args.expectArgs("selectattr", {2, (std::numeric_limits::max)()}, {0, 0}); + auto & items = args.args[0]; + if (items.is_null()) + return Value::array(); + auto attr_name = args.args[1].get(); + + bool has_test = false; + Value test_fn; + ArgumentsValue test_args {{Value()}, {}}; + if (args.args.size() >= 3) { + has_test = true; + test_fn = context->get(args.args[2]); + if (test_fn.is_null()) throw std::runtime_error("Undefined test: " + args.args[2].dump()); + for (size_t i = 3, n = args.args.size(); i < n; i++) { + test_args.args.emplace_back(args.args[i]); + } + test_args.kwargs = args.kwargs; + } + + auto res = Value::array(); + for (size_t i = 0, n = items.size(); i < n; i++) { + auto & item = items.at(i); + auto attr = item.get(attr_name); + if (has_test) { + test_args.args[0] = attr; + if (test_fn.call(context, test_args).to_bool()) { + res.push_back(item); + } + } else { + res.push_back(attr); + } + } + return res; + })); + globals.set("range", Value::callable([=](const std::shared_ptr &, ArgumentsValue & args) { + std::vector startEndStep(3); + std::vector param_set(3); + if (args.args.size() == 1) { + startEndStep[1] = args.args[0].get(); + param_set[1] = true; + } else { + for (size_t i = 0; i < args.args.size(); i++) { + auto & arg = args.args[i]; + auto v = arg.get(); + startEndStep[i] = v; + param_set[i] = true; + } + } + for (auto & [name, value] : args.kwargs) { + size_t i; + if (name == "start") i = 0; + else if (name == "end") i = 1; + else if (name == "step") i = 2; + else throw std::runtime_error("Unknown argument " + name + " for function range"); + + if (param_set[i]) { + throw std::runtime_error("Duplicate argument " + name + " for function range"); + } + startEndStep[i] = value.get(); + param_set[i] = true; + } + if (!param_set[1]) { + throw std::runtime_error("Missing required argument 'end' for function range"); + } + int64_t start = param_set[0] ? startEndStep[0] : 0; + int64_t end = startEndStep[1]; + int64_t step = param_set[2] ? startEndStep[2] : 1; + + auto res = Value::array(); + if (step > 0) { + for (int64_t i = start; i < end; i += step) { + res.push_back(Value(i)); + } + } else { + for (int64_t i = start; i > end; i += step) { + res.push_back(Value(i)); + } + } + return res; + })); + + return std::make_shared(std::move(globals)); +} + +inline std::shared_ptr Context::make(Value && values, const std::shared_ptr & parent) { + return std::make_shared(values.is_null() ? Value::object() : std::move(values), parent); +} + +} // namespace minja diff --git a/examples/main/main.cpp b/examples/main/main.cpp index 39666a0e8..da2a03ab9 100644 --- a/examples/main/main.cpp +++ b/examples/main/main.cpp @@ -4,6 +4,7 @@ #include "log.h" #include "sampling.h" #include "llama.h" +#include "chat-template.hpp" #include #include @@ -84,14 +85,6 @@ static void sigint_handler(int signo) { } #endif -static std::string chat_add_and_format(struct llama_model * model, std::vector & chat_msgs, const std::string & role, const std::string & content) { - common_chat_msg new_msg{role, content}; - auto formatted = common_chat_format_single(model, g_params->chat_template, chat_msgs, new_msg, role == "user"); - chat_msgs.push_back({role, content}); - LOG_DBG("formatted: '%s'\n", formatted.c_str()); - return formatted; -} - int main(int argc, char ** argv) { common_params params; g_params = ¶ms; @@ -165,6 +158,7 @@ int main(int argc, char ** argv) { } const llama_vocab * vocab = llama_model_get_vocab(model); + auto chat_templates = common_chat_templates_from_model(model, params.chat_template); LOG_INF("%s: llama threadpool init, n_threads = %d\n", __func__, (int) params.cpuparams.n_threads); @@ -207,7 +201,7 @@ int main(int argc, char ** argv) { } // auto enable conversation mode if chat template is available - const bool has_chat_template = !common_get_builtin_chat_template(model).empty() || !params.chat_template.empty(); + const bool has_chat_template = chat_templates.has_explicit_template && chat_templates.template_default; if (params.conversation_mode == COMMON_CONVERSATION_MODE_AUTO) { if (has_chat_template) { LOG_INF("%s: chat template is available, enabling conversation mode (disable it with -no-cnv)\n", __func__); @@ -225,7 +219,7 @@ int main(int argc, char ** argv) { // print chat template example in conversation mode if (params.conversation_mode) { if (params.enable_chat_template) { - LOG_INF("%s: chat template example:\n%s\n", __func__, common_chat_format_example(model, params.chat_template).c_str()); + LOG_INF("%s: chat template example:\n%s\n", __func__, common_chat_format_example(*chat_templates.template_default, params.use_jinja).c_str()); } else { LOG_INF("%s: in-suffix/prefix is specified, chat template will be disabled\n", __func__); } @@ -269,10 +263,18 @@ int main(int argc, char ** argv) { std::vector embd_inp; + auto chat_add_and_format = [&chat_msgs, &chat_templates](const std::string & role, const std::string & content) { + common_chat_msg new_msg{role, content}; + auto formatted = common_chat_format_single(*chat_templates.template_default, chat_msgs, new_msg, role == "user", g_params->use_jinja); + chat_msgs.push_back({role, content}); + LOG_DBG("formatted: '%s'\n", formatted.c_str()); + return formatted; + }; + { auto prompt = (params.conversation_mode && params.enable_chat_template) // format the system prompt in conversation mode (fallback to default if empty) - ? chat_add_and_format(model, chat_msgs, "system", params.prompt.empty() ? DEFAULT_SYSTEM_MESSAGE : params.prompt) + ? chat_add_and_format("system", params.prompt.empty() ? DEFAULT_SYSTEM_MESSAGE : params.prompt) // otherwise use the prompt as is : params.prompt; if (params.interactive_first || !params.prompt.empty() || session_tokens.empty()) { @@ -779,7 +781,7 @@ int main(int argc, char ** argv) { } if (params.enable_chat_template) { - chat_add_and_format(model, chat_msgs, "assistant", assistant_ss.str()); + chat_add_and_format("assistant", assistant_ss.str()); } is_interacting = true; LOG("\n"); @@ -844,7 +846,7 @@ int main(int argc, char ** argv) { bool format_chat = params.conversation_mode && params.enable_chat_template; std::string user_inp = format_chat - ? chat_add_and_format(model, chat_msgs, "user", std::move(buffer)) + ? chat_add_and_format("user", std::move(buffer)) : std::move(buffer); // TODO: one inconvenient of current chat template implementation is that we can't distinguish between user input and special tokens (prefix/postfix) const auto line_pfx = common_tokenize(ctx, params.input_prefix, false, true); diff --git a/examples/run/run.cpp b/examples/run/run.cpp index d04108e71..e567ad716 100644 --- a/examples/run/run.cpp +++ b/examples/run/run.cpp @@ -28,6 +28,7 @@ #include "json.hpp" #include "linenoise.cpp/linenoise.h" #include "llama-cpp.h" +#include "chat-template.hpp" #if defined(__unix__) || (defined(__APPLE__) && defined(__MACH__)) || defined(_WIN32) [[noreturn]] static void sigint_handler(int) { @@ -105,6 +106,7 @@ class Opt { llama_model_params model_params; std::string model_; std::string user; + bool use_jinja = false; int context_size = -1, ngl = -1; float temperature = -1; bool verbose = false; @@ -156,6 +158,8 @@ class Opt { } else if (options_parsing && (parse_flag(argv, i, "-v", "--verbose") || parse_flag(argv, i, "-v", "--log-verbose"))) { verbose = true; + } else if (options_parsing && strcmp(argv[i], "--jinja") == 0) { + use_jinja = true; } else if (options_parsing && parse_flag(argv, i, "-h", "--help")) { help = true; return 0; @@ -713,13 +717,31 @@ static void add_message(const char * role, const std::string & text, LlamaData & } // Function to apply the chat template and resize `formatted` if needed -static int apply_chat_template(LlamaData & llama_data, const bool append) { +static int apply_chat_template(const common_chat_template & tmpl, LlamaData & llama_data, const bool append, bool use_jinja) { + if (use_jinja) { + json messages = json::array(); + for (const auto & msg : llama_data.messages) { + messages.push_back({ + {"role", msg.role}, + {"content", msg.content}, + }); + } + try { + auto result = tmpl.apply(messages, /* tools= */ json(), append); + llama_data.fmtted.resize(result.size() + 1); + memcpy(llama_data.fmtted.data(), result.c_str(), result.size() + 1); + return result.size(); + } catch (const std::exception & e) { + printe("failed to render the chat template: %s\n", e.what()); + return -1; + } + } int result = llama_chat_apply_template( - llama_model_chat_template(llama_data.model.get()), llama_data.messages.data(), llama_data.messages.size(), append, + tmpl.source().c_str(), llama_data.messages.data(), llama_data.messages.size(), append, append ? llama_data.fmtted.data() : nullptr, append ? llama_data.fmtted.size() : 0); if (append && result > static_cast(llama_data.fmtted.size())) { llama_data.fmtted.resize(result); - result = llama_chat_apply_template(llama_model_chat_template(llama_data.model.get()), llama_data.messages.data(), + result = llama_chat_apply_template(tmpl.source().c_str(), llama_data.messages.data(), llama_data.messages.size(), append, llama_data.fmtted.data(), llama_data.fmtted.size()); } @@ -871,8 +893,8 @@ static int generate_response(LlamaData & llama_data, const std::string & prompt, } // Helper function to apply the chat template and handle errors -static int apply_chat_template_with_error_handling(LlamaData & llama_data, const bool append, int & output_length) { - const int new_len = apply_chat_template(llama_data, append); +static int apply_chat_template_with_error_handling(const common_chat_template & tmpl, LlamaData & llama_data, const bool append, int & output_length, bool use_jinja) { + const int new_len = apply_chat_template(tmpl, llama_data, append, use_jinja); if (new_len < 0) { printe("failed to apply the chat template\n"); return -1; @@ -931,9 +953,11 @@ static int get_user_input(std::string & user_input, const std::string & user) { } // Main chat loop function -static int chat_loop(LlamaData & llama_data, const std::string & user) { +static int chat_loop(LlamaData & llama_data, const std::string & user, bool use_jinja) { int prev_len = 0; llama_data.fmtted.resize(llama_n_ctx(llama_data.context.get())); + auto chat_templates = common_chat_templates_from_model(llama_data.model.get(), ""); + GGML_ASSERT(chat_templates.template_default); static const bool stdout_a_terminal = is_stdout_a_terminal(); while (true) { // Get user input @@ -944,7 +968,7 @@ static int chat_loop(LlamaData & llama_data, const std::string & user) { add_message("user", user.empty() ? user_input : user, llama_data); int new_len; - if (apply_chat_template_with_error_handling(llama_data, true, new_len) < 0) { + if (apply_chat_template_with_error_handling(*chat_templates.template_default, llama_data, true, new_len, use_jinja) < 0) { return 1; } @@ -959,7 +983,7 @@ static int chat_loop(LlamaData & llama_data, const std::string & user) { } add_message("assistant", response, llama_data); - if (apply_chat_template_with_error_handling(llama_data, false, prev_len) < 0) { + if (apply_chat_template_with_error_handling(*chat_templates.template_default, llama_data, false, prev_len, use_jinja) < 0) { return 1; } } @@ -1019,7 +1043,7 @@ int main(int argc, const char ** argv) { return 1; } - if (chat_loop(llama_data, opt.user)) { + if (chat_loop(llama_data, opt.user, opt.use_jinja)) { return 1; } diff --git a/examples/server/README.md b/examples/server/README.md index 1f0a27d96..5022de672 100644 --- a/examples/server/README.md +++ b/examples/server/README.md @@ -126,7 +126,7 @@ The project is under active development, and we are [looking for feedback and co | `--grammar GRAMMAR` | BNF-like grammar to constrain generations (see samples in grammars/ dir) (default: '') | | `--grammar-file FNAME` | file to read grammar from | | `-j, --json-schema SCHEMA` | JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object
For schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead | - +| `--jinja` | Enable experimental Jinja templating engine (needed for tool use) | **Example-specific params** diff --git a/examples/server/server.cpp b/examples/server/server.cpp index f35206d7b..5f08c4ecc 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -1688,6 +1688,8 @@ struct server_context { // Necessary similarity of prompt for slot selection float slot_prompt_similarity = 0.0f; + common_chat_templates chat_templates; + ~server_context() { // Clear any sampling context for (server_slot & slot : slots) { @@ -1767,14 +1769,39 @@ struct server_context { cparams_dft.type_v = GGML_TYPE_F16; } + chat_templates = common_chat_templates_from_model(model, params_base.chat_template); + GGML_ASSERT(chat_templates.template_default.get() != nullptr); + return true; } - bool validate_builtin_chat_template() const { + bool validate_builtin_chat_template(bool use_jinja) const { llama_chat_message chat[] = {{"user", "test"}}; - const char * tmpl = llama_model_chat_template(model); - const int32_t chat_res = llama_chat_apply_template(tmpl, chat, 1, true, nullptr, 0); - return chat_res > 0; + + if (use_jinja) { + auto templates = common_chat_templates_from_model(model, ""); + GGML_ASSERT(templates.template_default); + try { + templates.template_default->apply({{ + {"role", "user"}, + {"content", "test"}, + }}, json(), true); + if (templates.template_tool_use) { + templates.template_tool_use->apply({{ + {"role", "user"}, + {"content", "test"}, + }}, json(), true); + } + return true; + } catch (const std::exception & e) { + SRV_ERR("failed to apply template: %s\n", e.what()); + return false; + } + } else { + const char * tmpl = llama_model_chat_template(model, /* name */ nullptr); + const int32_t chat_res = llama_chat_apply_template(tmpl, chat, 1, true, nullptr, 0); + return chat_res > 0; + } } void init() { @@ -3659,9 +3686,12 @@ int main(int argc, char ** argv) { { "default_generation_settings", ctx_server.default_generation_settings_for_props }, { "total_slots", ctx_server.params_base.n_parallel }, { "model_path", ctx_server.params_base.model }, - { "chat_template", common_get_builtin_chat_template(ctx_server.model) }, + { "chat_template", ctx_server.chat_templates.template_default->source() }, { "build_info", build_info }, }; + if (ctx_server.params_base.use_jinja && ctx_server.chat_templates.template_tool_use) { + data["chat_template_tool_use"] = ctx_server.chat_templates.template_tool_use->source(); + } res_ok(res, data); }; @@ -3889,7 +3919,10 @@ int main(int argc, char ** argv) { return; } - json data = oaicompat_chat_completion_params_parse(ctx_server.model, json::parse(req.body), params.chat_template); + auto body = json::parse(req.body); + const auto & chat_template = body.contains("tools") && ctx_server.chat_templates.template_tool_use ? *ctx_server.chat_templates.template_tool_use : *ctx_server.chat_templates.template_default; + json data = oaicompat_completion_params_parse(body, chat_template, params.use_jinja); + return handle_completions_impl( SERVER_TASK_TYPE_COMPLETION, data, @@ -4299,7 +4332,7 @@ int main(int argc, char ** argv) { // if a custom chat template is not supplied, we will use the one that comes with the model (if any) if (params.chat_template.empty()) { - if (!ctx_server.validate_builtin_chat_template()) { + if (!ctx_server.validate_builtin_chat_template(params.use_jinja)) { LOG_WRN("%s: The chat template that comes with this model is not yet supported, falling back to chatml. This may cause the model to output suboptimal responses\n", __func__); params.chat_template = "chatml"; } @@ -4307,8 +4340,8 @@ int main(int argc, char ** argv) { // print sample chat example to make it clear which template is used LOG_INF("%s: chat template, chat_template: %s, example_format: '%s'\n", __func__, - params.chat_template.empty() ? "(built-in)" : params.chat_template.c_str(), - common_chat_format_example(ctx_server.model, params.chat_template).c_str()); + ctx_server.chat_templates.template_default->source().c_str(), + common_chat_format_example(*ctx_server.chat_templates.template_default, ctx_server.params_base.use_jinja).c_str()); ctx_server.queue_tasks.on_new_task(std::bind( &server_context::process_single_task, &ctx_server, std::placeholders::_1)); diff --git a/examples/server/tests/unit/test_chat_completion.py b/examples/server/tests/unit/test_chat_completion.py index b15dba6eb..2e15348dc 100644 --- a/examples/server/tests/unit/test_chat_completion.py +++ b/examples/server/tests/unit/test_chat_completion.py @@ -4,22 +4,26 @@ from utils import * server = ServerPreset.tinyllama2() - -@pytest.fixture(scope="module", autouse=True) +@pytest.fixture(autouse=True) def create_server(): global server server = ServerPreset.tinyllama2() @pytest.mark.parametrize( - "model,system_prompt,user_prompt,max_tokens,re_content,n_prompt,n_predicted,finish_reason", + "model,system_prompt,user_prompt,max_tokens,re_content,n_prompt,n_predicted,finish_reason,jinja,chat_template", [ - (None, "Book", "What is the best book", 8, "(Suddenly)+", 77, 8, "length"), - ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length"), + (None, "Book", "What is the best book", 8, "(Suddenly)+", 77, 8, "length", False, None), + (None, "Book", "What is the best book", 8, "(Suddenly)+", 77, 8, "length", True, None), + (None, "Book", "What is the best book", 8, "^ blue", 23, 8, "length", True, "This is not a chat template, it is"), + ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", False, None), + ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", True, None), ] ) -def test_chat_completion(model, system_prompt, user_prompt, max_tokens, re_content, n_prompt, n_predicted, finish_reason): +def test_chat_completion(model, system_prompt, user_prompt, max_tokens, re_content, n_prompt, n_predicted, finish_reason, jinja, chat_template): global server + server.jinja = jinja + server.chat_template = chat_template server.start() res = server.make_request("POST", "/chat/completions", data={ "model": model, diff --git a/examples/server/tests/utils.py b/examples/server/tests/utils.py index 9d1a7a5b0..9964db2f9 100644 --- a/examples/server/tests/utils.py +++ b/examples/server/tests/utils.py @@ -72,13 +72,14 @@ class ServerProcess: pooling: str | None = None draft: int | None = None api_key: str | None = None - response_format: str | None = None lora_files: List[str] | None = None disable_ctx_shift: int | None = False draft_min: int | None = None draft_max: int | None = None no_webui: bool | None = None + jinja: bool | None = None chat_template: str | None = None + chat_template_file: str | None = None # session variables process: subprocess.Popen | None = None @@ -169,8 +170,12 @@ class ServerProcess: server_args.extend(["--draft-min", self.draft_min]) if self.no_webui: server_args.append("--no-webui") + if self.jinja: + server_args.append("--jinja") if self.chat_template: server_args.extend(["--chat-template", self.chat_template]) + if self.chat_template_file: + server_args.extend(["--chat-template-file", self.chat_template_file]) args = [str(arg) for arg in [server_path, *server_args]] print(f"bench: starting server with: {' '.join(args)}") diff --git a/examples/server/utils.hpp b/examples/server/utils.hpp index 699480f90..c5987250c 100644 --- a/examples/server/utils.hpp +++ b/examples/server/utils.hpp @@ -16,6 +16,8 @@ // Change JSON_ASSERT from assert() to GGML_ASSERT: #define JSON_ASSERT GGML_ASSERT #include "json.hpp" +#include "minja.hpp" +#include "chat-template.hpp" #include #include @@ -349,7 +351,7 @@ static llama_tokens format_infill( } // Format given chat. If tmpl is empty, we take the template from model metadata -inline std::string format_chat(const struct llama_model * model, const std::string & tmpl, const std::vector & messages) { +inline std::string format_chat(const common_chat_template & tmpl, const std::vector & messages) { std::vector chat; for (size_t i = 0; i < messages.size(); ++i) { @@ -377,7 +379,7 @@ inline std::string format_chat(const struct llama_model * model, const std::stri chat.push_back({role, content}); } - const auto formatted_chat = common_chat_apply_template(model, tmpl, chat, true); + const auto formatted_chat = common_chat_apply_template(tmpl, chat, true, /* use_jinja= */ false); LOG_DBG("formatted_chat: '%s'\n", formatted_chat.c_str()); return formatted_chat; @@ -576,14 +578,23 @@ static json oaicompat_completion_params_parse(const json & body) { return llama_params; } -static json oaicompat_chat_completion_params_parse( - const struct llama_model * model, - const json & body, /* openai api json semantics */ - const std::string & chat_template) { +static json oaicompat_completion_params_parse( + const json & body, /* openai api json semantics */ + const common_chat_template & tmpl, + bool use_jinja) +{ json llama_params; - // Apply chat template to the list of messages - llama_params["prompt"] = format_chat(model, chat_template, body.at("messages")); + auto tools = json_value(body, "tools", json()); + auto has_tools = tools.is_array() && !tools.empty(); + + if (has_tools) { + if (use_jinja) { + LOG_WRN("tools param is not fully supported yet\n"); + } else { + throw std::runtime_error("tools param requires --jinja flag"); + } + } // Handle "stop" field if (body.contains("stop") && body.at("stop").is_string()) { @@ -606,6 +617,13 @@ static json oaicompat_chat_completion_params_parse( } } + // Apply chat template to the list of messages + if (use_jinja) { + llama_params["prompt"] = tmpl.apply(body.at("messages"), tools, /* add_generation_prompt= */ true); + } else { + llama_params["prompt"] = format_chat(tmpl, body.at("messages")); + } + // Handle "n" field int n_choices = json_value(body, "n", 1); if (n_choices != 1) { @@ -621,7 +639,7 @@ static json oaicompat_chat_completion_params_parse( } // Params supported by OAI but unsupported by llama.cpp - static const std::vector unsupported_params { "tools", "tool_choice" }; + static const std::vector unsupported_params { "tool_choice" }; for (const auto & param : unsupported_params) { if (body.contains(param)) { throw std::runtime_error("Unsupported param: " + param); diff --git a/examples/simple-chat/simple-chat.cpp b/examples/simple-chat/simple-chat.cpp index 212b3fd79..c5534cc13 100644 --- a/examples/simple-chat/simple-chat.cpp +++ b/examples/simple-chat/simple-chat.cpp @@ -163,7 +163,7 @@ int main(int argc, char ** argv) { break; } - const char * tmpl = llama_model_chat_template(model); + const char * tmpl = llama_model_chat_template(model, /* name */ nullptr); // add the user input to the message list and format it messages.push_back({"user", strdup(user.c_str())}); diff --git a/include/llama.h b/include/llama.h index 298b8d1bc..3b75e7607 100644 --- a/include/llama.h +++ b/include/llama.h @@ -510,7 +510,8 @@ extern "C" { LLAMA_API uint64_t llama_model_size(const struct llama_model * model); // Get the default chat template. Returns nullptr if not available - LLAMA_API const char * llama_model_chat_template(const struct llama_model * model); + // If name is NULL, returns the default chat template + LLAMA_API const char * llama_model_chat_template(const struct llama_model * model, const char * name); // Returns the total number of parameters in the model LLAMA_API uint64_t llama_model_n_params(const struct llama_model * model); diff --git a/scripts/get_hf_chat_template.py b/scripts/get_hf_chat_template.py new file mode 100755 index 000000000..23bb1de59 --- /dev/null +++ b/scripts/get_hf_chat_template.py @@ -0,0 +1,77 @@ +#!/usr/bin/env python +''' + Fetches the Jinja chat template of a HuggingFace model. + If a model has multiple chat templates, you can specify the variant name. + + Syntax: + ./scripts/get_hf_chat_template.py model_id [variant] + + Examples: + ./scripts/get_hf_chat_template.py NousResearch/Meta-Llama-3-8B-Instruct + ./scripts/get_hf_chat_template.py NousResearch/Hermes-3-Llama-3.1-8B tool_use + ./scripts/get_hf_chat_template.py meta-llama/Llama-3.2-3B-Instruct +''' + +import json +import re +import sys + + +def get_hf_chat_template(model_id, variant=None): + try: + # Use huggingface_hub library if available. + # Allows access to gated models if the user has access and ran `huggingface-cli login`. + from huggingface_hub import hf_hub_download + with open(hf_hub_download(repo_id=model_id, filename="tokenizer_config.json")) as f: + config_str = f.read() + except ImportError: + import requests + assert re.match(r"^[\w.-]+/[\w.-]+$", model_id), f"Invalid model ID: {model_id}" + response = requests.get(f"https://huggingface.co/{model_id}/resolve/main/tokenizer_config.json") + if response.status_code == 401: + raise Exception('Access to this model is gated, please request access, authenticate with `huggingface-cli login` and make sure to run `pip install huggingface_hub`') + response.raise_for_status() + config_str = response.text + + try: + config = json.loads(config_str) + except json.JSONDecodeError: + # Fix https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct/blob/main/tokenizer_config.json + # (Remove extra '}' near the end of the file) + config = json.loads(re.sub(r'\}([\n\s]*\}[\n\s]*\],[\n\s]*"clean_up_tokenization_spaces")', r'\1', config_str)) + + chat_template = config['chat_template'] + if isinstance(chat_template, str): + return chat_template + else: + variants = { + ct['name']: ct['template'] + for ct in chat_template + } + + def format_variants(): + return ', '.join(f'"{v}"' for v in variants.keys()) + + if variant is None: + if 'default' not in variants: + raise Exception(f'Please specify a chat template variant (one of {format_variants()})') + variant = 'default' + sys.stderr.write(f'Note: picked "default" chat template variant (out of {format_variants()})\n') + elif variant not in variants: + raise Exception(f"Variant {variant} not found in chat template (found {format_variants()})") + + return variants[variant] + + +def main(args): + if len(args) < 1: + raise ValueError("Please provide a model ID and an optional variant name") + model_id = args[0] + variant = None if len(args) < 2 else args[1] + + template = get_hf_chat_template(model_id, variant) + sys.stdout.write(template) + + +if __name__ == '__main__': + main(sys.argv[1:]) diff --git a/src/CMakeLists.txt b/src/CMakeLists.txt index aeb75bf3e..e1b02e4c0 100644 --- a/src/CMakeLists.txt +++ b/src/CMakeLists.txt @@ -29,7 +29,7 @@ add_library(llama unicode-data.cpp ) -target_include_directories(llama PUBLIC . ../include) +target_include_directories(llama PUBLIC . ../include ../common) target_compile_features (llama PUBLIC cxx_std_17) # don't bump target_link_libraries(llama PUBLIC ggml) diff --git a/src/llama-arch.cpp b/src/llama-arch.cpp index d7d277e72..a7260f495 100644 --- a/src/llama-arch.cpp +++ b/src/llama-arch.cpp @@ -179,6 +179,7 @@ static const std::map LLM_KV_NAMES = { { LLM_KV_TOKENIZER_HF_JSON, "tokenizer.huggingface.json" }, { LLM_KV_TOKENIZER_RWKV, "tokenizer.rwkv.world" }, { LLM_KV_TOKENIZER_CHAT_TEMPLATE, "tokenizer.chat_template" }, + { LLM_KV_TOKENIZER_CHAT_TEMPLATE_N, "tokenizer.chat_template.%s" }, { LLM_KV_TOKENIZER_FIM_PRE_ID, "tokenizer.ggml.fim_pre_token_id" }, { LLM_KV_TOKENIZER_FIM_SUF_ID, "tokenizer.ggml.fim_suf_token_id" }, { LLM_KV_TOKENIZER_FIM_MID_ID, "tokenizer.ggml.fim_mid_token_id" }, @@ -1443,10 +1444,11 @@ static const std::map LLM_TENSOR_INFOS = { {LLM_TENSOR_CONVNEXT_GAMMA, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, }; -LLM_KV::LLM_KV(llm_arch arch) : arch(arch) {} +LLM_KV::LLM_KV(llm_arch arch, const char * suffix) : arch(arch), suffix(suffix) {} std::string LLM_KV::operator()(llm_kv kv) const { - return ::format(LLM_KV_NAMES.at(kv), LLM_ARCH_NAMES.at(arch)); + return suffix ? ::format(LLM_KV_NAMES.at(kv), LLM_ARCH_NAMES.at(arch), suffix) + : ::format(LLM_KV_NAMES.at(kv), LLM_ARCH_NAMES.at(arch)); } std::string LLM_TN_IMPL::str() const { diff --git a/src/llama-arch.h b/src/llama-arch.h index 349844790..122fdcebe 100644 --- a/src/llama-arch.h +++ b/src/llama-arch.h @@ -177,6 +177,7 @@ enum llm_kv { LLM_KV_TOKENIZER_HF_JSON, LLM_KV_TOKENIZER_RWKV, LLM_KV_TOKENIZER_CHAT_TEMPLATE, + LLM_KV_TOKENIZER_CHAT_TEMPLATE_N, LLM_KV_TOKENIZER_FIM_PRE_ID, LLM_KV_TOKENIZER_FIM_SUF_ID, LLM_KV_TOKENIZER_FIM_MID_ID, @@ -335,9 +336,10 @@ enum llm_tensor_layer { }; struct LLM_KV { - LLM_KV(llm_arch arch); + LLM_KV(llm_arch arch, const char * suffix = nullptr); llm_arch arch; + const char * suffix; std::string operator()(llm_kv kv) const; }; diff --git a/src/llama-model.cpp b/src/llama-model.cpp index 590386e64..031b4c30b 100644 --- a/src/llama-model.cpp +++ b/src/llama-model.cpp @@ -3955,8 +3955,10 @@ uint64_t llama_model_size(const struct llama_model * model) { return model->size(); } -const char * llama_model_chat_template(const struct llama_model * model) { - const auto & it = model->gguf_kv.find(LLM_KV(model->arch)(LLM_KV_TOKENIZER_CHAT_TEMPLATE)); +const char * llama_model_chat_template(const struct llama_model * model, const char * name) { + const auto key = name ? LLM_KV(model->arch, name)(LLM_KV_TOKENIZER_CHAT_TEMPLATE_N) + : LLM_KV(model->arch)(LLM_KV_TOKENIZER_CHAT_TEMPLATE); + const auto & it = model->gguf_kv.find(key); if (it == model->gguf_kv.end()) { return nullptr; } diff --git a/tests/test-chat-template.cpp b/tests/test-chat-template.cpp index 5ec318bd4..190643136 100644 --- a/tests/test-chat-template.cpp +++ b/tests/test-chat-template.cpp @@ -7,6 +7,16 @@ #include "llama.h" #include "common.h" +#include "chat-template.hpp" + +static std::string normalize_newlines(const std::string & s) { +#ifdef _WIN32 + static const std::regex nl_regex("\r\n"); + return std::regex_replace(s, nl_regex, "\n"); +#else + return s; +#endif +} int main(void) { std::vector conversation { @@ -21,156 +31,228 @@ int main(void) { std::string name; std::string template_str; std::string expected_output; + std::string expected_output_jinja; + std::string bos_token = ""; + std::string eos_token = ""; + bool supported_with_jinja = true; }; std::vector test_cases { { /* .name= */ "teknium/OpenHermes-2.5-Mistral-7B", /* .template_str= */ "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\\n' + message['content'] + '<|im_end|>' + '\\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\\n' }}{% endif %}", /* .expected_output= */ "<|im_start|>system\nYou are a helpful assistant<|im_end|>\n<|im_start|>user\nHello<|im_end|>\n<|im_start|>assistant\nHi there<|im_end|>\n<|im_start|>user\nWho are you<|im_end|>\n<|im_start|>assistant\n I am an assistant <|im_end|>\n<|im_start|>user\nAnother question<|im_end|>\n<|im_start|>assistant\n", + /* .expected_output_jinja= */ "", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "mistralai/Mistral-7B-Instruct-v0.2 (NOTE: Old pre-v1 without a system prompt)", /* .template_str= */ "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}", /* .expected_output= */ "[INST] You are a helpful assistant\nHello [/INST]Hi there[INST] Who are you [/INST] I am an assistant [INST] Another question [/INST]", + /* .expected_output_jinja= */ "", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "TheBloke/FusionNet_34Bx2_MoE-AWQ", - /* .template_str= */ "{%- for idx in range(0, messages|length) -%}\\n{%- if messages[idx]['role'] == 'user' -%}\\n{%- if idx > 1 -%}\\n{{- bos_token + '[INST] ' + messages[idx]['content'] + ' [/INST]' -}}\\n{%- else -%}\\n{{- messages[idx]['content'] + ' [/INST]' -}}\\n{%- endif -%}\\n{% elif messages[idx]['role'] == 'system' %}\\n{{- '[INST] <>\\\\n' + messages[idx]['content'] + '\\\\n<>\\\\n\\\\n' -}}\\n{%- elif messages[idx]['role'] == 'assistant' -%}\\n{{- ' ' + messages[idx]['content'] + ' ' + eos_token -}}\\n{% endif %}\\n{% endfor %}", - /* .expected_output= */ "[INST] <>\nYou are a helpful assistant\n<>\n\nHello [/INST]Hi there[INST] Who are you [/INST] I am an assistant [INST] Another question [/INST]", + /* .template_str= */ "{%- for idx in range(0, messages|length) -%}\n{%- if messages[idx]['role'] == 'user' -%}\n{%- if idx > 1 -%}\n{{- bos_token + '[INST] ' + messages[idx]['content'] + ' [/INST]' -}}\n{%- else -%}\n{{- messages[idx]['content'] + ' [/INST]' -}}\n{%- endif -%}\n{% elif messages[idx]['role'] == 'system' %}\n{{- '[INST] <>\\n' + messages[idx]['content'] + '\\n<>\\n\\n' -}}\n{%- elif messages[idx]['role'] == 'assistant' -%}\n{{- ' ' + messages[idx]['content'] + ' ' + eos_token -}}\n{% endif %}\n{% endfor %}", + /* .expected_output= */ "[INST] <>\nYou are a helpful assistant\n<>\n\nHello [/INST]Hi there[INST] Who are you [/INST] I am an assistant [INST] Another question [/INST]", + /* .expected_output_jinja= */ "[INST] <>\nYou are a helpful assistant\n<>\n\nHello [/INST] Hi there [INST] Who are you [/INST] I am an assistant [INST] Another question [/INST]", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "bofenghuang/vigogne-2-70b-chat", - /* .template_str= */ "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% elif true == true and not '<>' in messages[0]['content'] %}{% set loop_messages = messages %}{% set system_message = 'Vous êtes Vigogne, un assistant IA créé par Zaion Lab. Vous suivez extrêmement bien les instructions. Aidez autant que vous le pouvez.' %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<>\\\\n' + system_message + '\\\\n<>\\\\n\\\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'system' %}{{ '<>\\\\n' + content.strip() + '\\\\n<>\\\\n\\\\n' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}", - /* .expected_output= */ "[INST] <>\nYou are a helpful assistant\n<>\n\nHello [/INST]Hi there[INST] Who are you [/INST]I am an assistant[INST] Another question [/INST]", + /* .template_str= */ "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% elif true == true and not '<>' in messages[0]['content'] %}{% set loop_messages = messages %}{% set system_message = 'Vous êtes Vigogne, un assistant IA créé par Zaion Lab. Vous suivez extrêmement bien les instructions. Aidez autant que vous le pouvez.' %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<>\\n' + system_message + '\\n<>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'system' %}{{ '<>\\n' + content.strip() + '\\n<>\\n\\n' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}", + /* .expected_output= */ "[INST] <>\nYou are a helpful assistant\n<>\n\nHello [/INST]Hi there[INST] Who are you [/INST]I am an assistant[INST] Another question [/INST]", + /* .expected_output_jinja= */ "[INST] <>\nYou are a helpful assistant\n<>\n\nHello [/INST] Hi there [INST] Who are you [/INST] I am an assistant [INST] Another question [/INST]", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "mlabonne/AlphaMonarch-7B", /* .template_str= */ "{% for message in messages %}{{bos_token + message['role'] + '\\n' + message['content'] + eos_token + '\\n'}}{% endfor %}{% if add_generation_prompt %}{{ bos_token + 'assistant\\n' }}{% endif %}", - /* .expected_output= */ "system\nYou are a helpful assistant\nuser\nHello\nassistant\nHi there\nuser\nWho are you\nassistant\n I am an assistant \nuser\nAnother question\nassistant\n", + /* .expected_output= */ "system\nYou are a helpful assistant\nuser\nHello\nassistant\nHi there\nuser\nWho are you\nassistant\n I am an assistant \nuser\nAnother question\nassistant\n", + /* .expected_output_jinja= */ "system\nYou are a helpful assistant\nuser\nHello\nassistant\nHi there\nuser\nWho are you\nassistant\n I am an assistant \nuser\nAnother question\nassistant\n", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "google/gemma-7b-it", /* .template_str= */ "{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '' + role + '\\n' + message['content'] | trim + '\\n' }}{% endfor %}{% if add_generation_prompt %}{{'model\\n'}}{% endif %}", - /* .expected_output= */ "user\nYou are a helpful assistant\n\nHello\nmodel\nHi there\nuser\nWho are you\nmodel\nI am an assistant\nuser\nAnother question\nmodel\n", + /* .expected_output= */ "user\nYou are a helpful assistant\n\nHello\nmodel\nHi there\nuser\nWho are you\nmodel\nI am an assistant\nuser\nAnother question\nmodel\n", + /* .expected_output_jinja= */ "user\nYou are a helpful assistant\nHello\nmodel\nHi there\nuser\nWho are you\nmodel\nI am an assistant\nuser\nAnother question\nmodel\n", }, { /* .name= */ "OrionStarAI/Orion-14B-Chat", /* .template_str= */ "{% for message in messages %}{% if loop.first %}{{ bos_token }}{% endif %}{% if message['role'] == 'user' %}{{ 'Human: ' + message['content'] + '\\n\\nAssistant: ' + eos_token }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token }}{% endif %}{% endfor %}", - /* .expected_output= */ "Human: You are a helpful assistant\n\nHello\n\nAssistant: Hi thereHuman: Who are you\n\nAssistant: I am an assistant Human: Another question\n\nAssistant: ", + /* .expected_output= */ "Human: You are a helpful assistant\n\nHello\n\nAssistant: Hi thereHuman: Who are you\n\nAssistant: I am an assistant Human: Another question\n\nAssistant: ", + /* .expected_output_jinja= */ "Human: You are a helpful assistant\nHello\n\nAssistant: Hi thereHuman: Who are you\n\nAssistant: I am an assistant Human: Another question\n\nAssistant: ", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "openchat/openchat-3.5-0106", // The included chat_template differs from the author's suggestions here: https://huggingface.co/openchat/openchat_3.5/discussions/5#65448109b4a3f3a2f486fd9d // So we match against the included template but implement the suggested version. /* .template_str= */ "{{ bos_token }}{% for message in messages %}{{ 'GPT4 Correct ' + message['role'].title() + ': ' + message['content'] + '<|end_of_turn|>'}}{% endfor %}{% if add_generation_prompt %}{{ 'GPT4 Correct Assistant:' }}{% endif %}", - /* .expected_output= */ "You are a helpful assistant<|end_of_turn|>GPT4 Correct User: Hello<|end_of_turn|>GPT4 Correct Assistant: Hi there<|end_of_turn|>GPT4 Correct User: Who are you<|end_of_turn|>GPT4 Correct Assistant: I am an assistant <|end_of_turn|>GPT4 Correct User: Another question<|end_of_turn|>GPT4 Correct Assistant:", + /* .expected_output= */ "You are a helpful assistant<|end_of_turn|>GPT4 Correct User: Hello<|end_of_turn|>GPT4 Correct Assistant: Hi there<|end_of_turn|>GPT4 Correct User: Who are you<|end_of_turn|>GPT4 Correct Assistant: I am an assistant <|end_of_turn|>GPT4 Correct User: Another question<|end_of_turn|>GPT4 Correct Assistant:", + /* .expected_output_jinja= */ "GPT4 Correct System: You are a helpful assistant<|end_of_turn|>GPT4 Correct User: Hello<|end_of_turn|>GPT4 Correct Assistant: Hi there<|end_of_turn|>GPT4 Correct User: Who are you<|end_of_turn|>GPT4 Correct Assistant: I am an assistant <|end_of_turn|>GPT4 Correct User: Another question<|end_of_turn|>GPT4 Correct Assistant:", }, { /* .name= */ "deepseek-ai/deepseek-coder-33b-instruct", /* .template_str= */ "{% if not add_generation_prompt is defined %}\n{% set add_generation_prompt = false %}\n{% endif %}\n{%- set ns = namespace(found=false) -%}\n{%- for message in messages -%}\n {%- if message['role'] == 'system' -%}\n {%- set ns.found = true -%}\n {%- endif -%}\n{%- endfor -%}\n{{bos_token}}{%- if not ns.found -%}\n{{'You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer\\n'}}\n{%- endif %}\n{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n{{ message['content'] }}\n {%- else %}\n {%- if message['role'] == 'user' %}\n{{'### Instruction:\\n' + message['content'] + '\\n'}}\n {%- else %}\n{{'### Response:\\n' + message['content'] + '\\n<|EOT|>\\n'}}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{% if add_generation_prompt %}\n{{'### Response:'}}\n{% endif %}", /* .expected_output= */ "You are a helpful assistant### Instruction:\nHello\n### Response:\nHi there\n<|EOT|>\n### Instruction:\nWho are you\n### Response:\n I am an assistant \n<|EOT|>\n### Instruction:\nAnother question\n### Response:\n", + /* .expected_output_jinja= */ "", }, { /* .name= */ "eachadea/vicuna-13b-1.1", // No template included in tokenizer_config.json, so this template likely needs to be manually set. /* .template_str= */ "{%- for message in messages %}{%- if message['role'] == 'system' -%}{{- '' + message['content'] + '\n\n' -}}{%- else -%}{%- if message['role'] == 'user' -%}{{-'USER: ' + message['content'] + '\n'-}}{%- else -%}{{-'ASSISTANT: ' + message['content'] + '\n' -}}{%- endif -%}{%- endif -%}{%- endfor -%}{%- if add_generation_prompt -%}{{-'ASSISTANT:'-}}{%- endif -%}", /* .expected_output= */ "You are a helpful assistant\n\nUSER: Hello\nASSISTANT: Hi there\nUSER: Who are you\nASSISTANT: I am an assistant \nUSER: Another question\nASSISTANT:", + /* .expected_output_jinja= */ "", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "Orca-Vicuna", // No template included in tokenizer_config.json, so this template likely needs to be manually set. /* .template_str= */ "{%- for message in messages %}{%- if message['role'] == 'system' -%}{{-'SYSTEM: ' + message['content'] + '\n' -}}{%- else -%}{%- if message['role'] == 'user' -%}{{-'USER: ' + message['content'] + '\n'-}}{%- else -%}{{-'ASSISTANT: ' + message['content'] + '\n' -}}{%- endif -%}{%- endif -%}{%- endfor -%}{%- if add_generation_prompt -%}{{-'ASSISTANT:'-}}{%- endif -%}", /* .expected_output= */ "SYSTEM: You are a helpful assistant\nUSER: Hello\nASSISTANT: Hi there\nUSER: Who are you\nASSISTANT: I am an assistant \nUSER: Another question\nASSISTANT:", + /* .expected_output_jinja= */ "", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "CohereForAI/c4ai-command-r-plus", /* .template_str= */ "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% elif false == true %}{% set loop_messages = messages %}{% set system_message = 'You are Command-R, a brilliant, sophisticated, AI-assistant trained to assist human users by providing thorough responses. You are trained by Cohere.' %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% if system_message != false %}{{ '<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>' + system_message + '<|END_OF_TURN_TOKEN|>' }}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|START_OF_TURN_TOKEN|><|USER_TOKEN|>' + content.strip() + '<|END_OF_TURN_TOKEN|>' }}{% elif message['role'] == 'assistant' %}{{ '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' + content.strip() + '<|END_OF_TURN_TOKEN|>' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }}{% endif %}", /* .expected_output= */ "<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>You are a helpful assistant<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Hello<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>Hi there<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Who are you<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>I am an assistant<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Another question<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>", + /* .expected_output_jinja= */ "", }, { /* .name= */ "Llama-3", /* .template_str= */ "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}", /* .expected_output= */ "<|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nHello<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nHi there<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWho are you<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nI am an assistant<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nAnother question<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n", + /* .expected_output_jinja= */ "", }, { /* .name= */ "Phi-3-mini", /* .template_str= */ "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}", - /* .expected_output= */ "<|system|>\nYou are a helpful assistant<|end|>\n<|user|>\nHello<|end|>\n<|assistant|>\nHi there<|end|>\n<|user|>\nWho are you<|end|>\n<|assistant|>\n I am an assistant <|end|>\n<|user|>\nAnother question<|end|>\n<|assistant|>\n", + /* .expected_output= */ "<|system|>\nYou are a helpful assistant<|end|>\n<|user|>\nHello<|end|>\n<|assistant|>\nHi there<|end|>\n<|user|>\nWho are you<|end|>\n<|assistant|>\n I am an assistant <|end|>\n<|user|>\nAnother question<|end|>\n<|assistant|>\n", + /* .expected_output_jinja= */ "<|user|>\nYou are a helpful assistant\nHello<|end|>\n<|assistant|>\nHi there<|end|>\n<|user|>\nWho are you<|end|>\n<|assistant|>\n I am an assistant <|end|>\n<|user|>\nAnother question<|end|>\n<|assistant|>\n", }, { /* .name= */ "Phi-3-small", /* .template_str= */ "{{ bos_token }}{% for message in messages %}{{'<|' + message['role'] + '|>' + '\n' + message['content'] + '<|end|>\n' }}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}", /* .expected_output= */ "<|system|>\nYou are a helpful assistant<|end|>\n<|user|>\nHello<|end|>\n<|assistant|>\nHi there<|end|>\n<|user|>\nWho are you<|end|>\n<|assistant|>\n I am an assistant <|end|>\n<|user|>\nAnother question<|end|>\n<|assistant|>\n", + /* .expected_output_jinja= */ "", }, { /* .name= */ "Phi-3-medium", /* .template_str= */ "{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}", - /* .expected_output= */ "<|system|>\nYou are a helpful assistant<|end|>\n<|user|>\nHello<|end|>\n<|assistant|>\nHi there<|end|>\n<|user|>\nWho are you<|end|>\n<|assistant|>\n I am an assistant <|end|>\n<|user|>\nAnother question<|end|>\n<|assistant|>\n", + /* .expected_output= */ "<|system|>\nYou are a helpful assistant<|end|>\n<|user|>\nHello<|end|>\n<|assistant|>\nHi there<|end|>\n<|user|>\nWho are you<|end|>\n<|assistant|>\n I am an assistant <|end|>\n<|user|>\nAnother question<|end|>\n<|assistant|>\n", + /* .expected_output_jinja= */ "<|user|>\nYou are a helpful assistant\nHello<|end|>\n<|assistant|>\nHi there<|end|>\n<|user|>\nWho are you<|end|>\n<|assistant|>\n I am an assistant <|end|>\n<|user|>\nAnother question<|end|>\n<|assistant|>\n", }, { /* .name= */ "Phi-3-vision", /* .template_str= */ "{% for message in messages %}{{'<|' + message['role'] + '|>' + '\n' + message['content'] + '<|end|>\n' }}{% endfor %}{% if add_generation_prompt and messages[-1]['role'] != 'assistant' %}{{- '<|assistant|>\n' -}}{% endif %}", /* .expected_output= */ "<|system|>\nYou are a helpful assistant<|end|>\n<|user|>\nHello<|end|>\n<|assistant|>\nHi there<|end|>\n<|user|>\nWho are you<|end|>\n<|assistant|>\n I am an assistant <|end|>\n<|user|>\nAnother question<|end|>\n<|assistant|>\n", + /* .expected_output_jinja= */ "", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "ChatGLM3", /* .template_str= */ "{% for message in messages %}{% if loop.first %}[gMASK]sop<|{{ message['role'] }}|>\n {{ message['content'] }}{% else %}<|{{ message['role'] }}|>\n {{ message['content'] }}{% endif %}{% endfor %}{% if add_generation_prompt %}<|assistant|>{% endif %}", - /* .expected_output= */ "[gMASK]sop<|system|>\n You are a helpful assistant<|user|>\n Hello<|assistant|>\n Hi there<|user|>\n Who are you<|assistant|>\n I am an assistant <|user|>\n Another question<|assistant|>", + /* .expected_output= */ "[gMASK]sop<|system|>\n You are a helpful assistant<|user|>\n Hello<|assistant|>\n Hi there<|user|>\n Who are you<|assistant|>\n I am an assistant <|user|>\n Another question<|assistant|>", + /* .expected_output_jinja= */ "[gMASK]sop<|system|>\nYou are a helpful assistant<|user|>\nHello<|assistant|>\nHi there<|user|>\nWho are you<|assistant|>\n I am an assistant <|user|>\nAnother question<|assistant|>", }, { /* .name= */ "ChatGLM4", /* .template_str= */ u8"[gMASK]{% for item in messages %}{% if item['tools'] is defined %}<|system|>\n你是一个名为 ChatGLM 的人工智能助手。你是基于智谱AI训练的语言模型 GLM-4 模型开发的，你的任务是针对用户的问题和要求提供适当的答复和支持。\n\n# 可用工具{% set tools = item['tools'] %}{% for tool in tools %}{% if tool['type'] == 'function' %}\n\n## {{ tool['function']['name'] }}\n\n{{ tool['function'] | tojson(indent=4) }}\n......{% endif %}{% endfor %}{% endif %}{% if item['content'] %}<|{{ item['role'] }}|>{{ item['metadata'] }}\n{{ item['content'] }}{% endif %}{% endfor %}{% if add_generation_prompt %}<|assistant|>{% endif %}", /* .expected_output= */ "[gMASK]<|system|>\nYou are a helpful assistant<|user|>\nHello<|assistant|>\nHi there<|user|>\nWho are you<|assistant|>\n I am an assistant <|user|>\nAnother question<|assistant|>", + /* .expected_output_jinja= */ "", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "MiniCPM-3B-OpenHermes-2.5-v2-GGUF", /* .template_str= */ u8"{% for message in messages %}{% if message['role'] == 'user' %}{{'<用户>' + message['content'].strip() + ''}}{% else %}{{message['content'].strip()}}{% endif %}{% endfor %}", /* .expected_output= */ u8"You are a helpful assistant<用户>HelloHi there<用户>Who are youI am an assistant<用户>Another question", + /* .expected_output_jinja= */ "", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "DeepSeek-V2", /* .template_str= */ "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ 'User: ' + message['content'] + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ 'Assistant: ' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content'] + '\n\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}", /* .expected_output= */ u8"You are a helpful assistant\n\nUser: Hello\n\nAssistant: Hi there<｜end▁of▁sentence｜>User: Who are you\n\nAssistant: I am an assistant <｜end▁of▁sentence｜>User: Another question\n\nAssistant:", + /* .expected_output_jinja= */ "", + /* .bos_token= */ "", + /* .eos_token= */ "<｜end▁of▁sentence｜>", }, { /* .name= */ "ibm-granite/granite-3.0-8b-instruct", /* .template_str= */ "{%- if tools %}\n {{- '<|start_of_role|>available_tools<|end_of_role|>\n' }}\n {%- for tool in tools %}\n {{- tool | tojson(indent=4) }}\n {%- if not loop.last %}\n {{- '\n\n' }}\n {%- endif %}\n {%- endfor %}\n {{- '<|end_of_text|>\n' }}\n{%- endif %}\n{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n {{- '<|start_of_role|>system<|end_of_role|>' + message['content'] + '<|end_of_text|>\n' }}\n {%- elif message['role'] == 'user' %}\n {{- '<|start_of_role|>user<|end_of_role|>' + message['content'] + '<|end_of_text|>\n' }}\n {%- elif message['role'] == 'assistant' %}\n {{- '<|start_of_role|>assistant<|end_of_role|>' + message['content'] + '<|end_of_text|>\n' }}\n {%- elif message['role'] == 'assistant_tool_call' %}\n {{- '<|start_of_role|>assistant<|end_of_role|><|tool_call|>' + message['content'] + '<|end_of_text|>\n' }}\n {%- elif message['role'] == 'tool_response' %}\n {{- '<|start_of_role|>tool_response<|end_of_role|>' + message['content'] + '<|end_of_text|>\n' }}\n {%- endif %}\n {%- if loop.last and add_generation_prompt %}\n {{- '<|start_of_role|>assistant<|end_of_role|>' }}\n {%- endif %}\n{%- endfor %}", - /* .expected_output= */ "<|start_of_role|>system<|end_of_role|>You are a helpful assistant<|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Hello<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|>Hi there<|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Who are you<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|> I am an assistant <|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Another question<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|>\n", + /* .expected_output= */ "<|start_of_role|>system<|end_of_role|>You are a helpful assistant<|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Hello<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|>Hi there<|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Who are you<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|> I am an assistant <|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Another question<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|>\n", + /* .expected_output_jinja= */ "<|start_of_role|>system<|end_of_role|>You are a helpful assistant<|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Hello<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|>Hi there<|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Who are you<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|> I am an assistant <|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Another question<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|>", }, { /* .name= */ "mistralai/Mistral-7B-Instruct-v0.2 (mistralai 'v1' template with a system prompt)", /* .template_str= */ "{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content'] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}\n {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}\n {%- endif %}\n {%- if message['role'] == 'user' %}\n {%- if loop.first and system_message is defined %}\n {{- ' [INST] ' + system_message + '\\n\\n' + message['content'] + ' [/INST]' }}\n {%- else %}\n {{- ' [INST] ' + message['content'] + ' [/INST]' }}\n {%- endif %}\n {%- elif message['role'] == 'assistant' %}\n {{- ' ' + message['content'] + eos_token}}\n {%- else %}\n {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}\n {%- endif %}\n{%- endfor %}\n", /* .expected_output= */ " [INST] You are a helpful assistant\n\nHello [/INST] Hi there [INST] Who are you [/INST] I am an assistant [INST] Another question [/INST]", + /* .expected_output_jinja= */ "", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "Mistral-Large-Instruct-2407 (mistralai 'v3' template; modified to have system prompt at start)", /* .template_str= */ "{%- if messages[0][\"role\"] == \"system\" %}\n {%- set system_message = messages[0][\"content\"] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n{%- set user_messages = loop_messages | selectattr(\"role\", \"equalto\", \"user\") | list %}\n\n{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}\n{%- set ns = namespace() %}\n{%- set ns.index = 0 %}\n{%- for message in loop_messages %}\n {%- if not (message.role == \"tool\" or message.role == \"tool_results\" or (message.tool_calls is defined and message.tool_calls is not none)) %}\n {%- if (message[\"role\"] == \"user\") != (ns.index % 2 == 0) %}\n {{- raise_exception(\"After the optional system message, conversation roles must alternate user/assistant/user/assistant/...\") }}\n {%- endif %}\n {%- set ns.index = ns.index + 1 %}\n {%- endif %}\n{%- endfor %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n {%- if message[\"role\"] == \"user\" %}\n {%- if tools is not none and (message == user_messages[-1]) %}\n {{- \"[AVAILABLE_TOOLS] [\" }}\n {%- for tool in tools %}\n {%- set tool = tool.function %}\n {{- '{\"type\": \"function\", \"function\": {' }}\n {%- for key, val in tool.items() if key != \"return\" %}\n {%- if val is string %}\n {{- '\"' + key + '\": \"' + val + '\"' }}\n {%- else %}\n {{- '\"' + key + '\": ' + val|tojson }}\n {%- endif %}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \"}}\" }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- else %}\n {{- \"]\" }}\n {%- endif %}\n {%- endfor %}\n {{- \"[/AVAILABLE_TOOLS]\" }}\n {%- endif %}\n {%- if loop.last and system_message is defined %}\n {{- \"[INST] \" + system_message + \"\\n\\n\" + message[\"content\"] + \"[/INST]\" }}\n {%- else %}\n {{- \"[INST] \" + message[\"content\"] + \"[/INST]\" }}\n {%- endif %}\n {%- elif message.tool_calls is defined and message.tool_calls is not none %}\n {{- \"[TOOL_CALLS] [\" }}\n {%- for tool_call in message.tool_calls %}\n {%- set out = tool_call.function|tojson %}\n {{- out[:-1] }}\n {%- if not tool_call.id is defined or tool_call.id|length != 9 %}\n {{- raise_exception(\"Tool call IDs should be alphanumeric strings with length 9!\") }}\n {%- endif %}\n {{- ', \"id\": \"' + tool_call.id + '\"}' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- else %}\n {{- \"]\" + eos_token }}\n {%- endif %}\n {%- endfor %}\n {%- elif message[\"role\"] == \"assistant\" %}\n {{- \" \" + message[\"content\"]|trim + eos_token}}\n {%- elif message[\"role\"] == \"tool_results\" or message[\"role\"] == \"tool\" %}\n {%- if message.content is defined and message.content.content is defined %}\n {%- set content = message.content.content %}\n {%- else %}\n {%- set content = message.content %}\n {%- endif %}\n {{- '[TOOL_RESULTS] {\"content\": ' + content|string + \", \" }}\n {%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}\n {{- raise_exception(\"Tool call IDs should be alphanumeric strings with length 9!\") }}\n {%- endif %}\n {{- '\"call_id\": \"' + message.tool_call_id + '\"}[/TOOL_RESULTS]' }}\n {%- else %}\n {{- raise_exception(\"Only user and assistant roles are supported, with the exception of an initial optional system message!\") }}\n {%- endif %}\n{%- endfor %}\n", - /* .expected_output= */ "[INST] You are a helpful assistant\n\nHello[/INST] Hi there[INST] Who are you[/INST] I am an assistant[INST] Another question[/INST]", + /* .expected_output= */ "[INST] You are a helpful assistant\n\nHello[/INST] Hi there[INST] Who are you[/INST] I am an assistant[INST] Another question[/INST]", + /* .expected_output_jinja= */ "[INST] Hello[/INST] Hi there[INST] Who are you[/INST] I am an assistant[INST] You are a helpful assistant\n\nAnother question[/INST]", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "Mistral-Nemo-Instruct-2407 (mistralai 'v3-tekken' template; modified to have system prompt at start)", /* .template_str= */ "{%- if messages[0][\"role\"] == \"system\" %}\n {%- set system_message = messages[0][\"content\"] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n{%- set user_messages = loop_messages | selectattr(\"role\", \"equalto\", \"user\") | list %}\n\n{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}\n{%- set ns = namespace() %}\n{%- set ns.index = 0 %}\n{%- for message in loop_messages %}\n {%- if not (message.role == \"tool\" or message.role == \"tool_results\" or (message.tool_calls is defined and message.tool_calls is not none)) %}\n {%- if (message[\"role\"] == \"user\") != (ns.index % 2 == 0) %}\n {{- raise_exception(\"After the optional system message, conversation roles must alternate user/assistant/user/assistant/...\") }}\n {%- endif %}\n {%- set ns.index = ns.index + 1 %}\n {%- endif %}\n{%- endfor %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n {%- if message[\"role\"] == \"user\" %}\n {%- if tools is not none and (message == user_messages[-1]) %}\n {{- \"[AVAILABLE_TOOLS][\" }}\n {%- for tool in tools %}\n {%- set tool = tool.function %}\n {{- '{\"type\": \"function\", \"function\": {' }}\n {%- for key, val in tool.items() if key != \"return\" %}\n {%- if val is string %}\n {{- '\"' + key + '\": \"' + val + '\"' }}\n {%- else %}\n {{- '\"' + key + '\": ' + val|tojson }}\n {%- endif %}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \"}}\" }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- else %}\n {{- \"]\" }}\n {%- endif %}\n {%- endfor %}\n {{- \"[/AVAILABLE_TOOLS]\" }}\n {%- endif %}\n {%- if loop.last and system_message is defined %}\n {{- \"[INST]\" + system_message + \"\\n\\n\" + message[\"content\"] + \"[/INST]\" }}\n {%- else %}\n {{- \"[INST]\" + message[\"content\"] + \"[/INST]\" }}\n {%- endif %}\n {%- elif (message.tool_calls is defined and message.tool_calls is not none) %}\n {{- \"[TOOL_CALLS][\" }}\n {%- for tool_call in message.tool_calls %}\n {%- set out = tool_call.function|tojson %}\n {{- out[:-1] }}\n {%- if not tool_call.id is defined or tool_call.id|length != 9 %}\n {{- raise_exception(\"Tool call IDs should be alphanumeric strings with length 9!\") }}\n {%- endif %}\n {{- ', \"id\": \"' + tool_call.id + '\"}' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- else %}\n {{- \"]\" + eos_token }}\n {%- endif %}\n {%- endfor %}\n {%- elif message[\"role\"] == \"assistant\" %}\n {{- message[\"content\"] + eos_token}}\n {%- elif message[\"role\"] == \"tool_results\" or message[\"role\"] == \"tool\" %}\n {%- if message.content is defined and message.content.content is defined %}\n {%- set content = message.content.content %}\n {%- else %}\n {%- set content = message.content %}\n {%- endif %}\n {{- '[TOOL_RESULTS]{\"content\": ' + content|string + \", \" }}\n {%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}\n {{- raise_exception(\"Tool call IDs should be alphanumeric strings with length 9!\") }}\n {%- endif %}\n {{- '\"call_id\": \"' + message.tool_call_id + '\"}[/TOOL_RESULTS]' }}\n {%- else %}\n {{- raise_exception(\"Only user and assistant roles are supported, with the exception of an initial optional system message!\") }}\n {%- endif %}\n{%- endfor %}\n", - /* .expected_output= */ "[INST]You are a helpful assistant\n\nHello[/INST]Hi there[INST]Who are you[/INST] I am an assistant [INST]Another question[/INST]", + /* .expected_output= */ "[INST]You are a helpful assistant\n\nHello[/INST]Hi there[INST]Who are you[/INST] I am an assistant [INST]Another question[/INST]", + /* .expected_output_jinja= */ "[INST]Hello[/INST]Hi there[INST]Who are you[/INST] I am an assistant [INST]You are a helpful assistant\n\nAnother question[/INST]", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "mistralai/Mistral-Large-Instruct-2411 (mistralai 'v7' template)", /* .template_str= */ "{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + '[/INST]' }}{% elif message['role'] == 'system' %}{{ '[SYSTEM_PROMPT] ' + message['content'] + '[/SYSTEM_PROMPT]' }}{% elif message['role'] == 'assistant' %}{{ ' ' + message['content'] + eos_token }}{% else %}{{ raise_exception('Only user, system and assistant roles are supported!') }}{% endif %}{% endfor %}", /* .expected_output= */ "[SYSTEM_PROMPT] You are a helpful assistant[/SYSTEM_PROMPT][INST] Hello[/INST] Hi there[INST] Who are you[/INST] I am an assistant [INST] Another question[/INST]", + /* .expected_output_jinja= */ "", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "ai-sage/GigaChat-20B-A3B-instruct", /* .template_str= */ "{% if messages[0]['role'] == 'system' -%}\n {%- set loop_messages = messages[1:] -%}\n {%- set system_message = bos_token + messages[0]['content'] + additional_special_tokens[1] -%}\n{%- else -%}\n {%- set loop_messages = messages -%}\n {%- set system_message = bos_token + '' -%}\n{%- endif -%}\n{%- for message in loop_messages %}\n {% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}\n {{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}\n {% endif %}\n \n {%- if loop.index0 == 0 -%}\n {{ system_message -}}\n {%- endif -%}\n {%- if message['role'] == 'user' -%}\n {{ message['role'] + additional_special_tokens[0] + message['content'] + additional_special_tokens[1] -}}\n {{ 'available functions' + additional_special_tokens[0] + additional_special_tokens[2] + additional_special_tokens[3] + additional_special_tokens[1] -}}\n {%- endif -%}\n {%- if message['role'] == 'assistant' -%}\n {{ message['role'] + additional_special_tokens[0] + message['content'] + additional_special_tokens[1] -}}\n {%- endif -%}\n {%- if loop.last and add_generation_prompt -%}\n {{ 'assistant' + additional_special_tokens[0] -}}\n {%- endif -%}\n{%- endfor %}", /* .expected_output= */ "You are a helpful assistant<|message_sep|>user<|role_sep|>Hello<|message_sep|>available functions<|role_sep|>[]<|message_sep|>assistant<|role_sep|>Hi there<|message_sep|>user<|role_sep|>Who are you<|message_sep|>available functions<|role_sep|>[]<|message_sep|>assistant<|role_sep|> I am an assistant <|message_sep|>user<|role_sep|>Another question<|message_sep|>available functions<|role_sep|>[]<|message_sep|>assistant<|role_sep|>", + /* .expected_output_jinja= */ "", + /* .bos_token= */ "", + /* .eos_token= */ "", + /* .supported_with_jinja= */ false, // Requires additional_special_tokens as extra context }, { /* .name= */ "Infinigence/Megrez-3B-Instruct", /* .template_str= */ u8"{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|role_start|>system<|role_end|>你是Megrez-3B-Instruct，将针对用户的问题给出详细的、积极的回答。<|turn_end|>' }}{% endif %}{{ '<|role_start|>' + message['role'] + '<|role_end|>' + message['content'] + '<|turn_end|>' }}{% endfor %}{% if add_generation_prompt %}{{ '<|role_start|>assistant<|role_end|>' }}{% endif %}", /* .expected_output= */ "<|role_start|>system<|role_end|>You are a helpful assistant<|turn_end|><|role_start|>user<|role_end|>Hello<|turn_end|><|role_start|>assistant<|role_end|>Hi there<|turn_end|><|role_start|>user<|role_end|>Who are you<|turn_end|><|role_start|>assistant<|role_end|> I am an assistant <|turn_end|><|role_start|>user<|role_end|>Another question<|turn_end|><|role_start|>assistant<|role_end|>", + /* .expected_output_jinja= */ "", + /* .bos_token= */ "", + /* .eos_token= */ "", }, { /* .name= */ "phi-4", /* .template_str= */ "{% for message in messages %}{% if (message['role'] == 'system') %}{{'<|im_start|>system<|im_sep|>' + message['content'] + '<|im_end|>'}}{% elif (message['role'] == 'user') %}{{'<|im_start|>user<|im_sep|>' + message['content'] + '<|im_end|><|im_start|>assistant<|im_sep|>'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|im_end|>'}}{% endif %}{% endfor %}", /* .expected_output= */ "<|im_start|>system<|im_sep|>You are a helpful assistant<|im_end|><|im_start|>user<|im_sep|>Hello<|im_end|><|im_start|>assistant<|im_sep|>Hi there<|im_end|><|im_start|>user<|im_sep|>Who are you<|im_end|><|im_start|>assistant<|im_sep|> I am an assistant <|im_end|><|im_start|>user<|im_sep|>Another question<|im_end|><|im_start|>assistant<|im_sep|>", + /* .expected_output_jinja= */ "", + /* .bos_token= */ "", + /* .eos_token= */ "", }, }; std::vector formatted_chat(1024); @@ -190,6 +272,7 @@ int main(void) { // test invalid chat template res = llama_chat_apply_template("INVALID TEMPLATE", conversation.data(), conversation.size(), true, formatted_chat.data(), formatted_chat.size()); assert(res < 0); + const auto add_generation_prompt = true; for (const auto & test_case : test_cases) { printf("\n\n=== %s ===\n\n", test_case.name.c_str()); @@ -198,26 +281,59 @@ int main(void) { test_case.template_str.c_str(), conversation.data(), conversation.size(), - true, + add_generation_prompt, formatted_chat.data(), formatted_chat.size() ); formatted_chat.resize(res); std::string output(formatted_chat.data(), formatted_chat.size()); - printf("%s\n", output.c_str()); - printf("-------------------------\n"); - assert(output == test_case.expected_output); + if (output != test_case.expected_output) { + printf("Expected:\n%s\n", test_case.expected_output.c_str()); + printf("-------------------------\n"); + printf("Actual:\n%s\n", output.c_str()); + fflush(stdout); + assert(output == test_case.expected_output); + } } + json messages = json::array(); + for (const auto & msg : conversation) { + messages.push_back({ + {"role", msg.role}, + {"content", msg.content}, + }); + } + for (const auto & test_case : test_cases) { + if (!test_case.supported_with_jinja) { + continue; + } + printf("\n\n=== %s (jinja) ===\n\n", test_case.name.c_str()); + try { + minja::chat_template tmpl(test_case.template_str, test_case.bos_token, test_case.eos_token); + auto output = normalize_newlines(tmpl.apply(messages, json(), add_generation_prompt)); + auto expected_output = normalize_newlines(test_case.expected_output_jinja.empty() ? test_case.expected_output : test_case.expected_output_jinja); + if (output != expected_output) { + printf("Expected:\n%s\n", expected_output.c_str()); + printf("-------------------------\n"); + printf("Actual:\n%s\n", output.c_str()); + fflush(stdout); + assert(output == expected_output); + } + } catch (const std::exception & e) { + printf("ERROR: %s\n", e.what()); + assert(false); + } + } // test llama_chat_format_single for system message printf("\n\n=== llama_chat_format_single (system message) ===\n\n"); std::vector chat2; common_chat_msg sys_msg{"system", "You are a helpful assistant"}; - auto fmt_sys = [&](std::string tmpl) { - auto output = common_chat_format_single(nullptr, tmpl, chat2, sys_msg, false); - printf("fmt_sys(%s) : %s\n", tmpl.c_str(), output.c_str()); + auto fmt_sys = [&](std::string tmpl_str) { + minja::chat_template tmpl(tmpl_str, "", ""); + auto output = common_chat_format_single(tmpl, chat2, sys_msg, false, /* use_jinja= */ false); + printf("fmt_sys(%s) : %s\n", tmpl_str.c_str(), output.c_str()); printf("-------------------------\n"); return output; }; @@ -241,9 +357,10 @@ int main(void) { chat2.push_back({"assistant", "I am assistant"}); common_chat_msg new_msg{"user", "How are you"}; - auto fmt_single = [&](std::string tmpl) { - auto output = common_chat_format_single(nullptr, tmpl, chat2, new_msg, true); - printf("fmt_single(%s) : %s\n", tmpl.c_str(), output.c_str()); + auto fmt_single = [&](std::string tmpl_str) { + minja::chat_template tmpl(tmpl_str, "", ""); + auto output = common_chat_format_single(tmpl, chat2, new_msg, true, /* use_jinja= */ false); + printf("fmt_single(%s) : %s\n", tmpl_str.c_str(), output.c_str()); printf("-------------------------\n"); return output; }; @@ -258,7 +375,5 @@ int main(void) { assert(fmt_single("llama3") == "<|start_header_id|>user<|end_header_id|>\n\nHow are you<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n"); assert(fmt_single("gigachat") == "user<|role_sep|>How are you<|message_sep|>available functions<|role_sep|>[]<|message_sep|>assistant<|role_sep|>"); - printf("Test chat templates: OK\n"); - return 0; } From 3e3357fd77bcf5bd8cfcc53ca53d4a5532e67e1b Mon Sep 17 00:00:00 2001 From: tc-mb <157115220+tc-mb@users.noreply.github.com> Date: Wed, 22 Jan 2025 15:35:48 +0800 Subject: [PATCH 006/162] llava : support Minicpm-omni (#11289) * init * add readme * update readme * no use make * update readme * update fix code * fix editorconfig-checker * no change convert py * use clip_image_u8_free --- examples/llava/README-minicpmo2.6.md | 46 +++++++++++++++++++ examples/llava/clip.cpp | 29 +++++++++++- examples/llava/llava.cpp | 13 ++---- examples/llava/minicpmv-cli.cpp | 10 +++- .../minicpmv-convert-image-encoder-to-gguf.py | 15 ++++-- examples/llava/minicpmv-surgery.py | 2 +- 6 files changed, 100 insertions(+), 15 deletions(-) create mode 100644 examples/llava/README-minicpmo2.6.md diff --git a/examples/llava/README-minicpmo2.6.md b/examples/llava/README-minicpmo2.6.md new file mode 100644 index 000000000..8713a43d6 --- /dev/null +++ b/examples/llava/README-minicpmo2.6.md @@ -0,0 +1,46 @@ +## MiniCPM-o 2.6 +Currently, this readme only supports minicpm-omni's image capabilities, and we will update the full-mode support as soon as possible. + +### Prepare models and code + +Download [MiniCPM-o-2_6](https://huggingface.co/openbmb/MiniCPM-o-2_6) PyTorch model from huggingface to "MiniCPM-o-2_6" folder. + +Clone llama.cpp: +```bash +git clone git@github.com:OpenBMB/llama.cpp.git +cd llama.cpp +git checkout minicpm-omni +``` + +### Usage of MiniCPM-o 2.6 + +Convert PyTorch model to gguf files (You can also download the converted [gguf](https://huggingface.co/openbmb/MiniCPM-o-2_6-gguf) by us) + +```bash +python ./examples/llava/minicpmv-surgery.py -m ../MiniCPM-o-2_6 +python ./examples/llava/minicpmv-convert-image-encoder-to-gguf.py -m ../MiniCPM-o-2_6 --minicpmv-projector ../MiniCPM-o-2_6/minicpmv.projector --output-dir ../MiniCPM-o-2_6/ --image-mean 0.5 0.5 0.5 --image-std 0.5 0.5 0.5 --minicpmv_version 4 +python ./convert_hf_to_gguf.py ../MiniCPM-o-2_6/model + +# quantize int4 version +./llama-quantize ../MiniCPM-o-2_6/model/ggml-model-f16.gguf ../MiniCPM-o-2_6/model/ggml-model-Q4_K_M.gguf Q4_K_M +``` + +Build llama.cpp using `CMake`: +https://github.com/ggerganov/llama.cpp/blob/master/docs/build.md + +```bash +cmake -B build +cmake --build build --config Release +``` + +Inference on Linux or Mac +``` +# run f16 version +./llama-minicpmv-cli -m ../MiniCPM-o-2_6/model/ggml-model-f16.gguf --mmproj ../MiniCPM-o-2_6/mmproj-model-f16.gguf -c 4096 --temp 0.7 --top-p 0.8 --top-k 100 --repeat-penalty 1.05 --image xx.jpg -p "What is in the image?" + +# run quantized int4 version +./llama-minicpmv-cli -m ../MiniCPM-o-2_6/model/ggml-model-Q4_K_M.gguf --mmproj ../MiniCPM-o-2_6/mmproj-model-f16.gguf -c 4096 --temp 0.7 --top-p 0.8 --top-k 100 --repeat-penalty 1.05 --image xx.jpg -p "What is in the image?" + +# or run in interactive mode +./llama-minicpmv-cli -m ../MiniCPM-o-2_6/model/ggml-model-Q4_K_M.gguf --mmproj ../MiniCPM-o-2_6/mmproj-model-f16.gguf -c 4096 --temp 0.7 --top-p 0.8 --top-k 100 --repeat-penalty 1.05 --image xx.jpg -i +``` diff --git a/examples/llava/clip.cpp b/examples/llava/clip.cpp index 7a8a3156b..24073c5a9 100644 --- a/examples/llava/clip.cpp +++ b/examples/llava/clip.cpp @@ -718,6 +718,9 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32 else if (ctx->minicpmv_version == 3) { pos_embed = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, 3584, pos_w * pos_h, 1); } + else if (ctx->minicpmv_version == 4) { + pos_embed = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, 3584, pos_w * pos_h, 1); + } ggml_set_name(pos_embed, "pos_embed"); ggml_set_input(pos_embed); } @@ -1053,6 +1056,11 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32 n_head = hidden_size/d_head; num_query = 64; } + else if (ctx->minicpmv_version == 4) { + hidden_size = 3584; + n_head = hidden_size/d_head; + num_query = 64; + } struct ggml_tensor * Q = ggml_add(ctx0, ggml_mul_mat(ctx0, model.mm_model_attn_q_w, q), model.mm_model_attn_q_b); Q = ggml_scale_inplace(ctx0, Q, 1.0f / sqrt((float)d_head)); @@ -2041,6 +2049,7 @@ static std::vector> uhd_slice_image(const clip_imag images[images.size()-1].push_back(patch); } } + clip_image_u8_free(refine_image); } return images; } @@ -2079,6 +2088,13 @@ bool clip_image_preprocess(struct clip_ctx * ctx, const clip_image_u8 * img, cli clip_image_f32_free(res); } } + for (size_t i = 0; i < imgs.size(); ++i) { + for (size_t j = 0; j < imgs[i].size(); ++j) { + if (imgs[i][j] != nullptr) { + clip_image_u8_free(imgs[i][j]); + } + } + } return true; } else if (ctx->has_qwen2vl_merger) { @@ -2335,6 +2351,9 @@ int clip_n_patches_by_img(const struct clip_ctx * ctx, struct clip_image_f32 * i else if (ctx->minicpmv_version == 3) { n_patches = 64; } + else if (ctx->minicpmv_version == 4) { + n_patches = 64; + } } else if (ctx->proj_type == PROJECTOR_TYPE_MERGER) { int patch_size = params.patch_size * 2; int x_patch = img->nx / patch_size + (int)(img->nx % patch_size > 0); @@ -2514,8 +2533,8 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima // -> https://huggingface.co/HuggingFaceM4/siglip-so400m-14-980-flash-attn2-navit/blob/d66538faeba44480d0bfaa42145eef26f9423199/modeling_siglip.py#L316 struct ggml_tensor * positions = ggml_graph_get_tensor(gf, "positions"); int* positions_data = (int*)malloc(ggml_nbytes(positions)); - int bucket_coords_h[70]; - int bucket_coords_w[70]; + int bucket_coords_h[1024]; + int bucket_coords_w[1024]; for (int i = 0; i < pos_h; i++){ bucket_coords_h[i] = std::floor(70.0*i/pos_h); } @@ -2543,6 +2562,9 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima else if (ctx->minicpmv_version == 3) { embed_dim = 3584; } + else if (ctx->minicpmv_version == 4) { + embed_dim = 3584; + } auto pos_embed_t = get_2d_sincos_pos_embed(embed_dim, std::make_pair(pos_w, pos_h)); float * pos_embed_data = (float *)malloc(ggml_nbytes(pos_embed)); @@ -2786,6 +2808,9 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) { else if (ctx->minicpmv_version == 3) { return 3584; } + else if (ctx->minicpmv_version == 4) { + return 3584; + } } if (ctx->proj_type == PROJECTOR_TYPE_MERGER) { return ctx->vision_model.mm_1_b->ne[0]; diff --git a/examples/llava/llava.cpp b/examples/llava/llava.cpp index c598caf3d..2cac7933d 100644 --- a/examples/llava/llava.cpp +++ b/examples/llava/llava.cpp @@ -216,7 +216,7 @@ static bool clip_llava_handle_patches(clip_ctx * ctx_clip, std::vector return true; } -static clip_image_f32 * only_v2_5_reshape_by_patch(clip_image_f32 * image, int patch_size) { +static clip_image_f32 * reshape_by_patch(clip_image_f32 * image, int patch_size) { int width = image->nx; int height = image->ny; int num_patches = (height / patch_size) * (width / patch_size); @@ -277,13 +277,7 @@ static bool encode_image_with_clip(clip_ctx * ctx_clip, int n_threads, const cli encoded = clip_image_encode(ctx_clip, n_threads, &img_res_v.data[i], image_embd_v[i]); } else { - int has_minicpmv_projector = clip_is_minicpmv(ctx_clip); - if (has_minicpmv_projector == 2) { - encoded = clip_image_encode(ctx_clip, n_threads, only_v2_5_reshape_by_patch(&img_res_v.data[i], patch_size), image_embd_v[i]); - } - else if (has_minicpmv_projector == 3) { - encoded = clip_image_encode(ctx_clip, n_threads, &img_res_v.data[i], image_embd_v[i]); - } + encoded = clip_image_encode(ctx_clip, n_threads, reshape_by_patch(&img_res_v.data[i], patch_size), image_embd_v[i]); } if (!encoded) { @@ -313,6 +307,9 @@ static bool encode_image_with_clip(clip_ctx * ctx_clip, int n_threads, const cli load_image_size->height = img->ny; clip_add_load_image_size(ctx_clip, load_image_size); LOG_INF("%s: load_image_size %d %d\n", __func__, load_image_size->width, load_image_size->height); + delete[] img_res_v.data; + img_res_v.size = 0; + img_res_v.data = nullptr; } else if (strcmp(mm_patch_merge_type, "spatial_unpad") != 0) { // flat / default llava-1.5 type embedding diff --git a/examples/llava/minicpmv-cli.cpp b/examples/llava/minicpmv-cli.cpp index 38c44e130..53d902d61 100644 --- a/examples/llava/minicpmv-cli.cpp +++ b/examples/llava/minicpmv-cli.cpp @@ -140,6 +140,9 @@ static void process_image(struct llava_context * ctx_llava, struct llava_image_e else if (has_minicpmv_projector == 3) { system_prompt = "<|im_start|>user\n"; } + else if (has_minicpmv_projector == 4) { + system_prompt = "<|im_start|>user\n"; + } LOG_INF("%s: image token past: %d\n", __func__, n_past); eval_string(ctx_llava->ctx_llama, (system_prompt+"").c_str(), params->n_batch, &n_past, false); process_eval_image_embed(ctx_llava, embeds, params->n_batch, &n_past, idx++); @@ -227,6 +230,9 @@ static struct common_sampler * llama_init(struct llava_context * ctx_llava, comm else if (has_minicpmv_projector == 3) { user_prompt = "<|im_start|>user\n" + prompt; } + else if (has_minicpmv_projector == 4) { + user_prompt = "<|im_start|>user\n" + prompt; + } } eval_string(ctx_llava->ctx_llama, user_prompt.c_str(), params->n_batch, &n_past, false); @@ -236,6 +242,9 @@ static struct common_sampler * llama_init(struct llava_context * ctx_llava, comm else if (has_minicpmv_projector == 3) { eval_string(ctx_llava->ctx_llama, "<|im_end|><|im_start|>assistant\n", params->n_batch, &n_past, false); } + else if (has_minicpmv_projector == 4) { + eval_string(ctx_llava->ctx_llama, "<|im_end|><|im_start|>assistant\n", params->n_batch, &n_past, false); + } // generate the response @@ -308,7 +317,6 @@ int main(int argc, char ** argv) { const auto * tmp = llama_loop(ctx_llava, smpl, n_past); response += tmp; if (strcmp(tmp, "") == 0) break; - if (strstr(tmp, "###")) break; // Yi-VL behavior printf("%s", tmp);// mistral llava-1.6 if (strstr(response.c_str(), "")) break; // minicpm-v fflush(stdout); diff --git a/examples/llava/minicpmv-convert-image-encoder-to-gguf.py b/examples/llava/minicpmv-convert-image-encoder-to-gguf.py index ea773742a..9b196757f 100644 --- a/examples/llava/minicpmv-convert-image-encoder-to-gguf.py +++ b/examples/llava/minicpmv-convert-image-encoder-to-gguf.py @@ -501,7 +501,7 @@ default_image_mean = [0.48145466, 0.4578275, 0.40821073] default_image_std = [0.26862954, 0.26130258, 0.27577711] ap.add_argument('--image-mean', type=float, nargs='+', help='Mean of the images for normalization (overrides processor) ', default=None) ap.add_argument('--image-std', type=float, nargs='+', help='Standard deviation of the images for normalization (overrides processor)', default=None) -ap.add_argument('--minicpmv_version', type=int, help='minicpmv_version: MiniCPM-V-2 use 1; MiniCPM-V-2.5 use 2; MiniCPM-V-2.6 use 3', default=2) +ap.add_argument('--minicpmv_version', type=int, help='minicpmv_version: MiniCPM-V-2 use 1; MiniCPM-V-2.5 use 2; MiniCPM-V-2.6 use 3; MiniCPM-o-2.6 use 4', default=2) # with proper args = ap.parse_args() @@ -545,12 +545,19 @@ if args.use_f32: minicpmv_version = args.minicpmv_version emb_dim = 4096 +block_count = 26 if minicpmv_version == 1: emb_dim = 2304 + block_count = 26 elif minicpmv_version == 2: emb_dim = 4096 + block_count = 27 elif minicpmv_version == 3: emb_dim = 3584 + block_count = 27 +elif minicpmv_version == 4: + emb_dim = 3584 + block_count = 27 default_vision_config = { "hidden_size": 1152, @@ -567,6 +574,9 @@ model = Idefics2VisionTransformer(vision_config) if minicpmv_version == 3: vision_config = SiglipVisionConfig(**default_vision_config) model = SiglipVisionTransformer(vision_config) +elif minicpmv_version == 4: + vision_config = SiglipVisionConfig(**default_vision_config) + model = SiglipVisionTransformer(vision_config) processor = None # if model.attn_pool is not None: @@ -587,7 +597,7 @@ elif args.minicpmv_projector is not None: fname_middle = "mmproj-" has_text_encoder = False has_minicpmv_projector = True - minicpmv_version = 3 + minicpmv_version = 4 elif args.vision_only: fname_middle = "vision-" has_text_encoder = False @@ -625,7 +635,6 @@ if has_vision_encoder: fout.add_uint32("clip.vision.projection_dim", 0) fout.add_uint32(add_key_str(KEY_ATTENTION_HEAD_COUNT, VISION), 16) fout.add_float32(add_key_str(KEY_ATTENTION_LAYERNORM_EPS, VISION), 1e-6) - block_count = 26 fout.add_uint32(add_key_str(KEY_BLOCK_COUNT, VISION), block_count) if processor is not None: diff --git a/examples/llava/minicpmv-surgery.py b/examples/llava/minicpmv-surgery.py index 748ff5c57..ba8211658 100644 --- a/examples/llava/minicpmv-surgery.py +++ b/examples/llava/minicpmv-surgery.py @@ -8,7 +8,7 @@ ap.add_argument("-m", "--model", help="Path to MiniCPM-V model") args = ap.parse_args() # find the model part that includes the the multimodal projector weights -model = AutoModel.from_pretrained(args.model, trust_remote_code=True, local_files_only=True) +model = AutoModel.from_pretrained(args.model, trust_remote_code=True, local_files_only=True, torch_dtype=torch.bfloat16) checkpoint = model.state_dict() # get a list of mm tensor names From a94f3b2727e97eb6c904006eb786960c069282bc Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Wed, 22 Jan 2025 09:51:44 +0000 Subject: [PATCH 007/162] `common`: utils to split / join / repeat strings (from json converter) (#11342) * Factor string_join, string_split, string_repeat into common * json: refactor to surface a versatile builder * Update common.cpp --- common/common.cpp | 42 +++++++++++++ common/common.h | 4 ++ common/json-schema-to-grammar.cpp | 98 +++++++++++-------------------- common/json-schema-to-grammar.h | 10 +++- 4 files changed, 90 insertions(+), 64 deletions(-) diff --git a/common/common.cpp b/common/common.cpp index 727ab0a10..6dea8e3d2 100644 --- a/common/common.cpp +++ b/common/common.cpp @@ -484,6 +484,48 @@ void string_replace_all(std::string & s, const std::string & search, const std:: s = std::move(builder); } +std::string string_join(const std::vector & values, const std::string & separator) { + std::ostringstream result; + for (size_t i = 0; i < values.size(); ++i) { + if (i > 0) { + result << separator; + } + result << values[i]; + } + return result.str(); +} + +std::vector string_split(const std::string & str, const std::string & delimiter) { + std::vector parts; + size_t start = 0; + size_t end = str.find(delimiter); + + while (end != std::string::npos) { + parts.push_back(str.substr(start, end - start)); + start = end + delimiter.length(); + end = str.find(delimiter, start); + } + + parts.push_back(str.substr(start)); + + return parts; +} + +std::string string_repeat(const std::string & str, size_t n) { + if (n == 0) { + return ""; + } + + std::string result; + result.reserve(str.length() * n); + + for (size_t i = 0; i < n; ++i) { + result += str; + } + + return result; +} + std::string string_from(bool value) { return value ? "true" : "false"; } diff --git a/common/common.h b/common/common.h index 7c9d73ce1..571260372 100644 --- a/common/common.h +++ b/common/common.h @@ -429,6 +429,10 @@ std::string string_format(const char * fmt, ...); std::string string_strip(const std::string & str); std::string string_get_sortable_timestamp(); +std::string string_join(const std::vector & values, const std::string & separator); +std::vector string_split(const std::string & str, const std::string & delimiter); +std::string string_repeat(const std::string & str, size_t n); + void string_replace_all(std::string & s, const std::string & search, const std::string & replace); template diff --git a/common/json-schema-to-grammar.cpp b/common/json-schema-to-grammar.cpp index dadc18c8b..4d426b6bd 100644 --- a/common/json-schema-to-grammar.cpp +++ b/common/json-schema-to-grammar.cpp @@ -1,4 +1,6 @@ #include "json-schema-to-grammar.h" +#include "common.h" + #include #include #include @@ -11,11 +13,6 @@ using json = nlohmann::ordered_json; -template -static std::string join(Iterator begin, Iterator end, const std::string & separator); - -static std::string repeat(const std::string & str, size_t n); - static std::string build_repetition(const std::string & item_rule, int min_items, int max_items, const std::string & separator_rule = "") { auto has_max = max_items != std::numeric_limits::max(); @@ -128,8 +125,8 @@ static void _build_min_max_int(int min_value, int max_value, std::stringstream & if (sub_len > 0) { auto from_sub = from.substr(i + 1); auto to_sub = to.substr(i + 1); - auto sub_zeros = repeat("0", sub_len); - auto sub_nines = repeat("9", sub_len); + auto sub_zeros = string_repeat("0", sub_len); + auto sub_nines = string_repeat("9", sub_len); auto to_reached = false; out << "("; @@ -188,8 +185,8 @@ static void _build_min_max_int(int min_value, int max_value, std::stringstream & auto max_digits = max_s.length(); for (auto digits = min_digits; digits < max_digits; digits++) { - uniform_range(min_s, repeat("9", digits)); - min_s = "1" + repeat("0", digits); + uniform_range(min_s, string_repeat("9", digits)); + min_s = "1" + string_repeat("0", digits); out << " | "; } uniform_range(min_s, max_s); @@ -318,49 +315,6 @@ std::unordered_map GRAMMAR_LITERAL_ESCAPES = { std::unordered_set NON_LITERAL_SET = {'|', '.', '(', ')', '[', ']', '{', '}', '*', '+', '?'}; std::unordered_set ESCAPED_IN_REGEXPS_BUT_NOT_IN_LITERALS = {'^', '$', '.', '[', ']', '(', ')', '|', '{', '}', '*', '+', '?'}; -template -std::string join(Iterator begin, Iterator end, const std::string & separator) { - std::ostringstream result; - if (begin != end) { - result << *begin; - for (Iterator it = begin + 1; it != end; ++it) { - result << separator << *it; - } - } - return result.str(); -} - -static std::vector split(const std::string & str, const std::string & delimiter) { - std::vector tokens; - size_t start = 0; - size_t end = str.find(delimiter); - - while (end != std::string::npos) { - tokens.push_back(str.substr(start, end - start)); - start = end + delimiter.length(); - end = str.find(delimiter, start); - } - - tokens.push_back(str.substr(start)); - - return tokens; -} - -static std::string repeat(const std::string & str, size_t n) { - if (n == 0) { - return ""; - } - - std::string result; - result.reserve(str.length() * n); - - for (size_t i = 0; i < n; ++i) { - result += str; - } - - return result; -} - static std::string replacePattern(const std::string & input, const std::regex & regex, const std::function & replacement) { std::smatch match; std::string result; @@ -389,6 +343,7 @@ static std::string format_literal(const std::string & literal) { class SchemaConverter { private: + friend std::string build_grammar(const std::function & cb); std::function _fetch_json; bool _dotall; std::map _rules; @@ -418,7 +373,7 @@ private: for (size_t i = 0; i < alt_schemas.size(); i++) { rules.push_back(visit(alt_schemas[i], name + (name.empty() ? "alternative-" : "-") + std::to_string(i))); } - return join(rules.begin(), rules.end(), " | "); + return string_join(rules, " | "); } std::string _visit_pattern(const std::string & pattern, const std::string & name) { @@ -481,7 +436,7 @@ private: for (const auto & item : ret) { results.push_back(to_rule(item)); } - return std::make_pair(join(results.begin(), results.end(), " "), false); + return std::make_pair(string_join(results, " "), false); }; while (i < length) { @@ -539,7 +494,7 @@ private: } curly_brackets += '}'; i++; - auto nums = split(curly_brackets.substr(1, curly_brackets.length() - 2), ","); + auto nums = string_split(curly_brackets.substr(1, curly_brackets.length() - 2), ","); int min_times = 0; int max_times = std::numeric_limits::max(); try { @@ -854,7 +809,7 @@ public: return; } std::string pointer = ref.substr(ref.find('#') + 1); - std::vector tokens = split(pointer, "/"); + std::vector tokens = string_split(pointer, "/"); for (size_t i = 1; i < tokens.size(); ++i) { std::string sel = tokens[i]; if (target.is_null() || !target.contains(sel)) { @@ -905,7 +860,7 @@ public: for (const auto & v : schema["enum"]) { enum_values.push_back(_generate_constant_rule(v)); } - return _add_rule(rule_name, "(" + join(enum_values.begin(), enum_values.end(), " | ") + ") space"); + return _add_rule(rule_name, "(" + string_join(enum_values, " | ") + ") space"); } else if ((schema_type.is_null() || schema_type == "object") && (schema.contains("properties") || (schema.contains("additionalProperties") && schema["additionalProperties"] != true))) { @@ -1019,10 +974,10 @@ public: void check_errors() { if (!_errors.empty()) { - throw std::runtime_error("JSON schema conversion failed:\n" + join(_errors.begin(), _errors.end(), "\n")); + throw std::runtime_error("JSON schema conversion failed:\n" + string_join(_errors, "\n")); } if (!_warnings.empty()) { - fprintf(stderr, "WARNING: JSON schema conversion was incomplete: %s\n", join(_warnings.begin(), _warnings.end(), "; ").c_str()); + fprintf(stderr, "WARNING: JSON schema conversion was incomplete: %s\n", string_join(_warnings, "; ").c_str()); } } @@ -1036,10 +991,27 @@ public: }; std::string json_schema_to_grammar(const json & schema) { - SchemaConverter converter([](const std::string &) { return json::object(); }, /* dotall= */ false); - auto copy = schema; - converter.resolve_refs(copy, "input"); - converter.visit(copy, ""); + return build_grammar([&](const llama_grammar_builder & callbacks) { + auto copy = schema; + callbacks.resolve_refs(copy); + callbacks.add_schema("", copy); + }); +} + +std::string build_grammar(const std::function & cb) { + SchemaConverter converter([&](const std::string &) { return json(); }, /* dotall= */ false); + llama_grammar_builder builder { + /* .add_rule = */ [&](const std::string & name, const std::string & rule) { + return converter._add_rule(name, rule); + }, + /* .add_schema = */ [&](const std::string & name, const nlohmann::ordered_json & schema) { + return converter.visit(schema, name == "root" ? "" : name); + }, + /* .resolve_refs = */ [&](nlohmann::ordered_json & schema) { + converter.resolve_refs(schema, ""); + } + }; + cb(builder); converter.check_errors(); return converter.format_grammar(); } diff --git a/common/json-schema-to-grammar.h b/common/json-schema-to-grammar.h index 41623b346..4f43ab3a5 100644 --- a/common/json-schema-to-grammar.h +++ b/common/json-schema-to-grammar.h @@ -5,4 +5,12 @@ #define JSON_ASSERT GGML_ASSERT #include "json.hpp" -std::string json_schema_to_grammar(const nlohmann::ordered_json& schema); +std::string json_schema_to_grammar(const nlohmann::ordered_json & schema); + +struct llama_grammar_builder { + std::function add_rule; + std::function add_schema; + std::function resolve_refs; +}; + +std::string build_grammar(const std::function & cb); From 96f405393461062450692430e4916809bf71c3c4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Ji=C5=99=C3=AD=20Podiv=C3=ADn?= <66251151+jpodivin@users.noreply.github.com> Date: Wed, 22 Jan 2025 12:51:32 +0100 Subject: [PATCH 008/162] Adding logprobs to /v1/completions (#11344) Signed-off-by: Jiri Podivin --- examples/server/server.cpp | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/examples/server/server.cpp b/examples/server/server.cpp index 5f08c4ecc..412908aa8 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -267,6 +267,11 @@ struct server_task { params.speculative.n_min = std::max(params.speculative.n_min, 2); params.speculative.n_max = std::max(params.speculative.n_max, 0); + // Use OpenAI API logprobs only if n_probs wasn't provided + if (data.contains("logprobs") && params.sampling.n_probs == defaults.sampling.n_probs){ + params.sampling.n_probs = json_value(data, "logprobs", defaults.sampling.n_probs); + } + if (data.contains("lora")) { if (data.at("lora").is_array()) { params.lora = parse_lora_request(params_base.lora_adapters, data.at("lora")); From c64d2becb13f2a7c0145b516a05f028d949a046b Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Wed, 22 Jan 2025 16:16:27 +0000 Subject: [PATCH 009/162] `minja`: sync at https://github.com/google/minja/commit/0f5f7f2b3770eb682fbc11763266d45204173686 (#11352) --- common/chat-template.hpp | 37 ++++++++++++++++++++++++++++--------- common/minja.hpp | 28 ++++++++++++++++++++++++++-- 2 files changed, 54 insertions(+), 11 deletions(-) diff --git a/common/chat-template.hpp b/common/chat-template.hpp index b4a90145c..42ee0b615 100644 --- a/common/chat-template.hpp +++ b/common/chat-template.hpp @@ -25,6 +25,7 @@ class chat_template { // Meta-Llama-3.1-8B-Instruct's template expects arguments to be an object. // Most other templates (and OpenAI's API) expect the arguments object to be stringified. bool requires_object_arguments_ = false; + bool requires_typed_content_ = false; bool supports_system_role_ = true; bool supports_parallel_tool_calls_ = false; std::string source_; @@ -32,14 +33,14 @@ class chat_template { std::string eos_token_; std::shared_ptr template_root_; - std::string try_render( + std::string try_raw_render( const nlohmann::ordered_json & messages, const nlohmann::ordered_json & tools, bool add_generation_prompt, const nlohmann::ordered_json & extra_context = nlohmann::ordered_json()) const { try { - auto prompt = apply(messages, tools, add_generation_prompt, extra_context); + auto prompt = apply(messages, tools, add_generation_prompt, extra_context, /* adjust_inputs= */ false); // fprintf(stderr, "Prompt: %s\n", prompt.c_str()); return prompt; } catch (const std::exception & e) { @@ -60,7 +61,7 @@ class chat_template { supports_tools_ = source.find("tools") != std::string::npos; auto renders_string_arguments = - try_render({ + try_raw_render({ { {"role", "user"}, {"content", "Hey"} @@ -81,7 +82,7 @@ class chat_template { }, {}, false).find("{\"code\": \"print") != std::string::npos; if (!renders_string_arguments) { auto renders_object_arguments = - try_render({ + try_raw_render({ { {"role", "user"}, {"content", "Hey"} @@ -106,10 +107,13 @@ class chat_template { } supports_parallel_tool_calls_ = source.find("tool_call_id") != std::string::npos; - supports_system_role_ = try_render({ + supports_system_role_ = try_raw_render({ {{"role", "system"}, {"content", ""}}, {{"role", "user"}, {"content", "Hey"}} }, {}, false).find("") != std::string::npos; + + requires_typed_content_ = try_raw_render({{{"role", "user"}, {"content", "Hey"}}}, {}, false).find("Hey") == std::string::npos + && try_raw_render({{{"role", "user"}, {"content", {{{"type", "text"}, {"text", "Hey"}}}}}}, {}, false).find("Hey") != std::string::npos; } const std::string & source() const { return source_; } @@ -122,19 +126,34 @@ class chat_template { const nlohmann::ordered_json & messages, const nlohmann::ordered_json & tools, bool add_generation_prompt, - const nlohmann::ordered_json & extra_context = nlohmann::ordered_json()) const + const nlohmann::ordered_json & extra_context = nlohmann::ordered_json(), + bool adjust_inputs = true) const { json actual_messages; // First, "fix" messages so they have a chance to be rendered correctly by the template - if (requires_object_arguments_ || !supports_system_role_ || !supports_tools_) { + if (adjust_inputs && (requires_object_arguments_ || !supports_system_role_ || !supports_tools_ || requires_typed_content_)) { actual_messages = json::array(); + auto add_message = [&](const json & msg) { + if (requires_typed_content_ && msg.contains("content") && !msg.at("content").is_null() && msg.at("content").is_string()) { + actual_messages.push_back({ + {"role", msg.at("role")}, + {"content", {{ + {"type", "text"}, + {"text", msg.at("content")}, + }}}, + }); + } else { + actual_messages.push_back(msg); + } + }; + std::string pending_system; auto flush_sys = [&]() { if (!pending_system.empty()) { - actual_messages.push_back({ + add_message({ {"role", "user"}, {"content", pending_system}, }); @@ -217,7 +236,7 @@ class chat_template { } } } - actual_messages.push_back(message); + add_message(message); } flush_sys(); } else { diff --git a/common/minja.hpp b/common/minja.hpp index f0ee7a49a..80bdd4b41 100644 --- a/common/minja.hpp +++ b/common/minja.hpp @@ -693,7 +693,7 @@ enum SpaceHandling { Keep, Strip, StripSpaces, StripNewline }; class TemplateToken { public: - enum class Type { Text, Expression, If, Else, Elif, EndIf, For, EndFor, Set, EndSet, Comment, Macro, EndMacro, Filter, EndFilter }; + enum class Type { Text, Expression, If, Else, Elif, EndIf, For, EndFor, Generation, EndGeneration, Set, EndSet, Comment, Macro, EndMacro, Filter, EndFilter }; static std::string typeToString(Type t) { switch (t) { @@ -712,6 +712,8 @@ public: case Type::EndMacro: return "endmacro"; case Type::Filter: return "filter"; case Type::EndFilter: return "endfilter"; + case Type::Generation: return "generation"; + case Type::EndGeneration: return "endgeneration"; } return "Unknown"; } @@ -788,6 +790,14 @@ struct EndForTemplateToken : public TemplateToken { EndForTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post) : TemplateToken(Type::EndFor, location, pre, post) {} }; +struct GenerationTemplateToken : public TemplateToken { + GenerationTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post) : TemplateToken(Type::Generation, location, pre, post) {} +}; + +struct EndGenerationTemplateToken : public TemplateToken { + EndGenerationTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post) : TemplateToken(Type::EndGeneration, location, pre, post) {} +}; + struct SetTemplateToken : public TemplateToken { std::string ns; std::vector var_names; @@ -2149,7 +2159,7 @@ private: static std::regex comment_tok(R"(\{#([-~]?)(.*?)([-~]?)#\})"); static std::regex expr_open_regex(R"(\{\{([-~])?)"); static std::regex block_open_regex(R"(^\{%([-~])?[\s\n\r]*)"); - static std::regex block_keyword_tok(R"((if|else|elif|endif|for|endfor|set|endset|block|endblock|macro|endmacro|filter|endfilter)\b)"); + static std::regex block_keyword_tok(R"((if|else|elif|endif|for|endfor|generation|endgeneration|set|endset|block|endblock|macro|endmacro|filter|endfilter)\b)"); static std::regex non_text_open_regex(R"(\{\{|\{%|\{#)"); static std::regex expr_close_regex(R"([\s\n\r]*([-~])?\}\})"); static std::regex block_close_regex(R"([\s\n\r]*([-~])?%\})"); @@ -2229,6 +2239,12 @@ private: } else if (keyword == "endfor") { auto post_space = parseBlockClose(); tokens.push_back(std::make_unique(location, pre_space, post_space)); + } else if (keyword == "generation") { + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space)); + } else if (keyword == "endgeneration") { + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space)); } else if (keyword == "set") { static std::regex namespaced_var_regex(R"((\w+)[\s\n\r]*\.[\s\n\r]*(\w+))"); @@ -2330,6 +2346,13 @@ private: throw unterminated(**start); } children.emplace_back(std::make_shared(token->location, std::move(for_token->var_names), std::move(for_token->iterable), std::move(for_token->condition), std::move(body), for_token->recursive, std::move(else_body))); + } else if (dynamic_cast(token.get())) { + auto body = parseTemplate(begin, it, end); + if (it == end || (*(it++))->type != TemplateToken::Type::EndGeneration) { + throw unterminated(**start); + } + // Treat as a no-op, as our scope is templates for inference, not training (`{% generation %}` wraps generated tokens for masking). + children.emplace_back(std::move(body)); } else if (auto text_token = dynamic_cast(token.get())) { SpaceHandling pre_space = (it - 1) != begin ? (*(it - 2))->post_space : SpaceHandling::Keep; SpaceHandling post_space = it != end ? (*it)->pre_space : SpaceHandling::Keep; @@ -2397,6 +2420,7 @@ private: || dynamic_cast(token.get()) || dynamic_cast(token.get()) || dynamic_cast(token.get()) + || dynamic_cast(token.get()) || dynamic_cast(token.get())) { it--; // unconsume the token break; // exit the loop From 12c2bdf2de34f747d13b270fc9d3b52490bf194f Mon Sep 17 00:00:00 2001 From: Diego Devesa Date: Wed, 22 Jan 2025 17:44:40 +0100 Subject: [PATCH 010/162] server : fix draft context not being released (#11354) --- examples/server/server.cpp | 3 +++ 1 file changed, 3 insertions(+) diff --git a/examples/server/server.cpp b/examples/server/server.cpp index 412908aa8..4cfb3c9bb 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -1772,6 +1772,9 @@ struct server_context { // force F16 KV cache for the draft model for extra performance cparams_dft.type_k = GGML_TYPE_F16; cparams_dft.type_v = GGML_TYPE_F16; + + // the context is not needed - we will create one for each slot + llama_init_dft.context.reset(); } chat_templates = common_chat_templates_from_model(model, params_base.chat_template); From 16d3df7ab0bb9def78047eab4d9b15393997f495 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Wed, 22 Jan 2025 19:44:26 +0200 Subject: [PATCH 011/162] readme : add plugin links (#11355) --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 784669ce1..97d028670 100644 --- a/README.md +++ b/README.md @@ -16,7 +16,9 @@ Inference of Meta's [LLaMA](https://arxiv.org/abs/2302.13971) model (and others) ## Hot topics -- **Introducing GGUF-my-LoRA** https://github.com/ggerganov/llama.cpp/discussions/10123 +- **VS Code extension for FIM completions:** https://github.com/ggml-org/llama.vscode +- Vim/Neovim plugin for FIM completions: https://github.com/ggml-org/llama.vim +- Introducing GGUF-my-LoRA https://github.com/ggerganov/llama.cpp/discussions/10123 - Hugging Face Inference Endpoints now support GGUF out of the box! https://github.com/ggerganov/llama.cpp/discussions/9669 - Hugging Face GGUF editor: [discussion](https://github.com/ggerganov/llama.cpp/discussions/9268) | [tool](https://huggingface.co/spaces/CISCai/gguf-editor) From 6152129d05870cb38162c422c6ba80434e021e9f Mon Sep 17 00:00:00 2001 From: Diego Devesa Date: Wed, 22 Jan 2025 19:22:20 +0100 Subject: [PATCH 012/162] main : update README documentation for batch size (#11353) * main : update README documentation for batch size * fix formatting * minor --- examples/main/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/main/README.md b/examples/main/README.md index 17d80a622..46f92eb7a 100644 --- a/examples/main/README.md +++ b/examples/main/README.md @@ -310,9 +310,9 @@ These options help improve the performance and memory usage of the LLaMA models. ### Batch Size -- `-b N, --batch-size N`: Set the batch size for prompt processing (default: `2048`). This large batch size benefits users who have BLAS installed and enabled it during the build. If you don't have BLAS enabled ("BLAS=0"), you can use a smaller number, such as 8, to see the prompt progress as it's evaluated in some situations. +- `-ub N`, `--ubatch-size N`: Physical batch size. This is the maximum number of tokens that may be processed at a time. Increasing this value may improve performance during prompt processing, at the expense of higher memory usage. Default: `512`. -- `-ub N`, `--ubatch-size N`: physical maximum batch size. This is for pipeline parallelization. Default: `512`. +- `-b N`, `--batch-size N`: Logical batch size. Increasing this value above the value of the physical batch size may improve prompt processing performance when using multiple GPUs with pipeline parallelism. Default: `2048`. ### Prompt Caching From 5245729e3317064959faefc5e5cbc63f4e9cfbea Mon Sep 17 00:00:00 2001 From: Jeff Bolz Date: Thu, 23 Jan 2025 01:01:17 -0600 Subject: [PATCH 013/162] vulkan: fix diag_mask_inf (#11323) With robustbufferaccess disabled, this shader was showing OOB stores. There is a bounds check in the code, but the workgrouop dimensions were reversed vs CUDA and it was running the wrong number of threads. So fix the workgroup dimensions and disable robustness for this pipeline. --- ggml/src/ggml-vulkan/ggml-vulkan.cpp | 2 +- ggml/src/ggml-vulkan/vulkan-shaders/diag_mask_inf.comp | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index 78c2f5c45..eae4f0739 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -2012,7 +2012,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_leaky_relu_f32, "leaky_relu_f32", leaky_relu_f32_len, leaky_relu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_tanh_f32, "tanh_f32", tanh_f32_len, tanh_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(device, device->pipeline_diag_mask_inf_f32, "diag_mask_inf_f32", diag_mask_inf_f32_len, diag_mask_inf_f32_data, "main", 2, sizeof(vk_op_diag_mask_push_constants), {512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_diag_mask_inf_f32, "diag_mask_inf_f32", diag_mask_inf_f32_len, diag_mask_inf_f32_data, "main", 2, sizeof(vk_op_diag_mask_push_constants), {1, 512, 1}, {}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_soft_max_f32, "soft_max_f32", soft_max_f32_len, soft_max_f32_data, "main", 3, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); ggml_vk_create_pipeline(device, device->pipeline_soft_max_f32_wg512, "soft_max_f32_wg512", soft_max_f32_len, soft_max_f32_data, "main", 3, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, { 512 }, 1); diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/diag_mask_inf.comp b/ggml/src/ggml-vulkan/vulkan-shaders/diag_mask_inf.comp index 4e68742b5..26d8bc22a 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/diag_mask_inf.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/diag_mask_inf.comp @@ -12,7 +12,7 @@ layout (push_constant) uniform parameter #include "types.comp" -layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; +layout(local_size_x = 1, local_size_y = 512, local_size_z = 1) in; layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; From 1971adf55e3ebbfab83771d6174d37b77c352c71 Mon Sep 17 00:00:00 2001 From: Jeff Bolz Date: Thu, 23 Jan 2025 01:07:50 -0600 Subject: [PATCH 014/162] vulkan: sort shaders for more deterministic binary (#11315) Fixes #11306. --- ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp index 8bcb64101..e9c6cb9d4 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp @@ -17,13 +17,13 @@ #include #include #include +#include #include #include #ifdef _WIN32 #include #include // For _mkdir on Windows - #include // For std::replace on w64devkit #else #include #include @@ -502,6 +502,7 @@ void write_output_files() { fprintf(hdr, "#include \n\n"); fprintf(src, "#include \"%s\"\n\n", basename(target_hpp).c_str()); + std::sort(shader_fnames.begin(), shader_fnames.end()); for (const auto& pair : shader_fnames) { const std::string& name = pair.first; #ifdef _WIN32 From 955a6c2d91480954e90469517c4b91c4052c6a59 Mon Sep 17 00:00:00 2001 From: amd-dwang Date: Thu, 23 Jan 2025 15:14:28 +0800 Subject: [PATCH 015/162] Vulkan-run-test: fix mmq_wg_denoms (#11343) There should be a copy-and-paste error here. *mmq_wg_denoms should be used together with *warptile_mmq, instead of wg_denoms. --- ggml/src/ggml-vulkan/ggml-vulkan.cpp | 88 ++++++++++++++-------------- 1 file changed, 44 insertions(+), 44 deletions(-) diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index eae4f0739..c325416d1 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -1673,31 +1673,31 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM2(pipeline_matmul_f16_f32, matmul_f16_f32, wg_denoms, warptile, vk_mat_mat_push_constants, 3, ); if (device->coopmat_acc_f16_support) { - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0].f16acc, matmul_q4_0_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1].f16acc, matmul_q4_1_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0].f16acc, matmul_q5_0_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1].f16acc, matmul_q5_1_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0].f16acc, matmul_q8_0_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0].f16acc, matmul_q4_0_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1].f16acc, matmul_q4_1_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0].f16acc, matmul_q5_0_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1].f16acc, matmul_q5_1_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0].f16acc, matmul_q8_0_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K].f16acc, matmul_q2_k_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K].f16acc, matmul_q3_k_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K].f16acc, matmul_q4_k_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K].f16acc, matmul_q5_k_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K].f16acc, matmul_q6_k_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K].f16acc, matmul_q2_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K].f16acc, matmul_q3_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K].f16acc, matmul_q4_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K].f16acc, matmul_q5_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K].f16acc, matmul_q6_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); } else { - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0].f16acc, matmul_q4_0_f32, , wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1].f16acc, matmul_q4_1_f32, , wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0].f16acc, matmul_q5_0_f32, , wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1].f16acc, matmul_q5_1_f32, , wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0].f16acc, matmul_q8_0_f32, , wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0].f16acc, matmul_q4_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1].f16acc, matmul_q4_1_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0].f16acc, matmul_q5_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1].f16acc, matmul_q5_1_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0].f16acc, matmul_q8_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K].f16acc, matmul_q2_k_f32, , wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K].f16acc, matmul_q3_k_f32, , wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K].f16acc, matmul_q4_k_f32, , wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K].f16acc, matmul_q5_k_f32, , wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K].f16acc, matmul_q6_k_f32, , wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, , wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K].f16acc, matmul_q2_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K].f16acc, matmul_q3_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K].f16acc, matmul_q4_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K].f16acc, matmul_q5_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K].f16acc, matmul_q6_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); } // If there's not enough shared memory for row_ids and the result tile, don't create these pipelines. @@ -1707,31 +1707,31 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM2(pipeline_matmul_id_f16_f32, matmul_id_f16_f32, wg_denoms, warptile, vk_mat_mat_push_constants, 4, _id); if (device->coopmat_acc_f16_support) { - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0].f16acc, matmul_id_q4_0_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1].f16acc, matmul_id_q4_1_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0].f16acc, matmul_id_q5_0_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1].f16acc, matmul_id_q5_1_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0].f16acc, matmul_id_q8_0_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0].f16acc, matmul_id_q4_0_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1].f16acc, matmul_id_q4_1_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0].f16acc, matmul_id_q5_0_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1].f16acc, matmul_id_q5_1_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0].f16acc, matmul_id_q8_0_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K].f16acc, matmul_id_q2_k_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K].f16acc, matmul_id_q3_k_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K].f16acc, matmul_id_q4_k_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K].f16acc, matmul_id_q5_k_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K].f16acc, matmul_id_q6_k_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, _f16acc, wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K].f16acc, matmul_id_q2_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K].f16acc, matmul_id_q3_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K].f16acc, matmul_id_q4_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K].f16acc, matmul_id_q5_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K].f16acc, matmul_id_q6_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); } else { - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0].f16acc, matmul_id_q4_0_f32, , wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1].f16acc, matmul_id_q4_1_f32, , wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0].f16acc, matmul_id_q5_0_f32, , wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1].f16acc, matmul_id_q5_1_f32, , wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0].f16acc, matmul_id_q8_0_f32, , wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0].f16acc, matmul_id_q4_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1].f16acc, matmul_id_q4_1_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0].f16acc, matmul_id_q5_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1].f16acc, matmul_id_q5_1_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0].f16acc, matmul_id_q8_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K].f16acc, matmul_id_q2_k_f32, , wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K].f16acc, matmul_id_q3_k_f32, , wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K].f16acc, matmul_id_q4_k_f32, , wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K].f16acc, matmul_id_q5_k_f32, , wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K].f16acc, matmul_id_q6_k_f32, , wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, , wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K].f16acc, matmul_id_q2_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K].f16acc, matmul_id_q3_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K].f16acc, matmul_id_q4_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K].f16acc, matmul_id_q5_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K].f16acc, matmul_id_q6_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); } } #undef CREATE_MM2 From f211d1dc10332b7e89a4abd1041903fa63bfed27 Mon Sep 17 00:00:00 2001 From: Eric Curtin Date: Thu, 23 Jan 2025 10:38:20 +0000 Subject: [PATCH 016/162] Treat hf.co/ prefix the same as hf:// (#11350) ollama uses hf.co/ to specify huggingface prefix, like RamaLama uses hf:// Treat them similarly. Signed-off-by: Eric Curtin --- examples/run/run.cpp | 17 ++++++++++------- 1 file changed, 10 insertions(+), 7 deletions(-) diff --git a/examples/run/run.cpp b/examples/run/run.cpp index e567ad716..c710d4326 100644 --- a/examples/run/run.cpp +++ b/examples/run/run.cpp @@ -634,20 +634,20 @@ class LlamaData { return path.substr(pos + 1); } - int remove_proto(std::string & model_) { - const std::string::size_type pos = model_.find("://"); + int rm_until_substring(std::string & model_, const std::string & substring) { + const std::string::size_type pos = model_.find(substring); if (pos == std::string::npos) { return 1; } - model_ = model_.substr(pos + 3); // Skip past "://" + model_ = model_.substr(pos + substring.size()); // Skip past the substring return 0; } int resolve_model(std::string & model_) { int ret = 0; if (string_starts_with(model_, "file://") || std::filesystem::exists(model_)) { - remove_proto(model_); + rm_until_substring(model_, "://"); return ret; } @@ -656,13 +656,16 @@ class LlamaData { const std::vector headers = { "--header", "Accept: application/vnd.docker.distribution.manifest.v2+json" }; if (string_starts_with(model_, "hf://") || string_starts_with(model_, "huggingface://")) { - remove_proto(model_); + rm_until_substring(model_, "://"); + ret = huggingface_dl(model_, headers, bn); + } else if (string_starts_with(model_, "hf.co/")) { + rm_until_substring(model_, "hf.co/"); ret = huggingface_dl(model_, headers, bn); } else if (string_starts_with(model_, "ollama://")) { - remove_proto(model_); + rm_until_substring(model_, "://"); ret = ollama_dl(model_, headers, bn); } else if (string_starts_with(model_, "https://")) { - download(model_, headers, bn, true); + ret = download(model_, headers, bn, true); } else { ret = ollama_dl(model_, headers, bn); } From 58456616408c828a1ce6d2481940fd1c97bce3b5 Mon Sep 17 00:00:00 2001 From: Xuan Son Nguyen Date: Thu, 23 Jan 2025 13:56:05 +0100 Subject: [PATCH 017/162] server : add more clean up when cancel_tasks is called (#11340) * server : add more clean up when cancel_tasks is called * fix recv_with_timeout * std::remove_if * fix std::remove_if --- examples/server/server.cpp | 43 +++++++++++++++++++++++++++++++------- 1 file changed, 35 insertions(+), 8 deletions(-) diff --git a/examples/server/server.cpp b/examples/server/server.cpp index 4cfb3c9bb..a94c3822c 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -1433,6 +1433,10 @@ struct server_queue { } else { queue_tasks.push_back(std::move(task)); } + // if this is cancel task make sure to clean up pending tasks + if (task.type == SERVER_TASK_TYPE_CANCEL) { + cleanup_pending_task(task.id_target); + } condition_tasks.notify_one(); return task.id; } @@ -1450,6 +1454,10 @@ struct server_queue { } else { queue_tasks.push_back(std::move(task)); } + // if this is cancel task make sure to clean up pending tasks + if (task.type == SERVER_TASK_TYPE_CANCEL) { + cleanup_pending_task(task.id_target); + } } condition_tasks.notify_one(); return 0; @@ -1544,6 +1552,20 @@ struct server_queue { } } } + +private: + void cleanup_pending_task(int id_task) { + // no need lock because this is called exclusively by post() + auto rm_func = [id_task](const server_task & task) { + return task.id_target == id_task; + }; + queue_tasks.erase( + std::remove_if(queue_tasks.begin(), queue_tasks.end(), rm_func), + queue_tasks.end()); + queue_tasks_deferred.erase( + std::remove_if(queue_tasks_deferred.begin(), queue_tasks_deferred.end(), rm_func), + queue_tasks_deferred.end()); + } }; struct server_response { @@ -1579,6 +1601,12 @@ struct server_response { std::unique_lock lock(mutex_results); waiting_task_ids.erase(id_task); + // make sure to clean up all pending results + queue_results.erase( + std::remove_if(queue_results.begin(), queue_results.end(), [id_task](const server_task_result_ptr & res) { + return res->id == id_task; + }), + queue_results.end()); } void remove_waiting_task_ids(const std::unordered_set & id_tasks) { @@ -1598,7 +1626,7 @@ struct server_response { return !queue_results.empty(); }); - for (int i = 0; i < (int) queue_results.size(); i++) { + for (size_t i = 0; i < queue_results.size(); i++) { if (id_tasks.find(queue_results[i]->id) != id_tasks.end()) { server_task_result_ptr res = std::move(queue_results[i]); queue_results.erase(queue_results.begin() + i); @@ -1615,12 +1643,6 @@ struct server_response { server_task_result_ptr recv_with_timeout(const std::unordered_set & id_tasks, int timeout) { while (true) { std::unique_lock lock(mutex_results); - bool cr_res = condition_results.wait_for(lock, std::chrono::seconds(timeout), [&]{ - return !queue_results.empty(); - }); - if (!cr_res) { - return nullptr; - } for (int i = 0; i < (int) queue_results.size(); i++) { if (id_tasks.find(queue_results[i]->id) != id_tasks.end()) { @@ -1629,6 +1651,11 @@ struct server_response { return res; } } + + std::cv_status cr_res = condition_results.wait_for(lock, std::chrono::seconds(timeout)); + if (cr_res == std::cv_status::timeout) { + return nullptr; + } } // should never reach here @@ -2376,8 +2403,8 @@ struct server_context { server_task task(SERVER_TASK_TYPE_CANCEL); task.id_target = id_task; - cancel_tasks.push_back(task); queue_results.remove_waiting_task_id(id_task); + cancel_tasks.push_back(task); } // push to beginning of the queue, so it has highest priority queue_tasks.post(cancel_tasks, true); From f7fb43cd0b84280c261f440dc8e85eafad4a0ca6 Mon Sep 17 00:00:00 2001 From: Eric Curtin Date: Thu, 23 Jan 2025 16:16:18 +0000 Subject: [PATCH 018/162] Add -ngl (#11372) Most other llama.cpp cli tools accept -ngl with a single dash. Signed-off-by: Eric Curtin --- examples/run/run.cpp | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/examples/run/run.cpp b/examples/run/run.cpp index c710d4326..715f21b5d 100644 --- a/examples/run/run.cpp +++ b/examples/run/run.cpp @@ -147,7 +147,8 @@ class Opt { if (handle_option_with_value(argc, argv, i, context_size) == 1) { return 1; } - } else if (options_parsing && (strcmp(argv[i], "-n") == 0 || strcmp(argv[i], "--ngl") == 0)) { + } else if (options_parsing && + (strcmp(argv[i], "-n") == 0 || strcmp(argv[i], "-ngl") == 0 || strcmp(argv[i], "--ngl") == 0)) { if (handle_option_with_value(argc, argv, i, ngl) == 1) { return 1; } From 05f63cc9ee859de07f585f7b12939345f39ada8b Mon Sep 17 00:00:00 2001 From: Eric Curtin Date: Thu, 23 Jan 2025 20:04:31 +0000 Subject: [PATCH 019/162] Update documentation (#11373) To show -n, -ngl, --ngl is acceptable. Signed-off-by: Eric Curtin --- examples/run/run.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/run/run.cpp b/examples/run/run.cpp index 715f21b5d..92a49eb74 100644 --- a/examples/run/run.cpp +++ b/examples/run/run.cpp @@ -195,7 +195,7 @@ class Opt { "Options:\n" " -c, --context-size \n" " Context size (default: %d)\n" - " -n, --ngl \n" + " -n, -ngl, --ngl \n" " Number of GPU layers (default: %d)\n" " --temp \n" " Temperature (default: %.1f)\n" From 564804b79b78df1469ec8646869972de5e885ec4 Mon Sep 17 00:00:00 2001 From: Jeff Bolz Date: Thu, 23 Jan 2025 14:51:24 -0600 Subject: [PATCH 020/162] tests: fix some mul_mat test gaps (#11375) Now that we have batched mat-vec mul Vulkan shaders for up to n==8, these tests weren't actually exercising the mat-mat mul path. Test n==9 as well. Also, change to use all_types. --- tests/test-backend-ops.cpp | 15 ++++----------- 1 file changed, 4 insertions(+), 11 deletions(-) diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp index 74d1bee39..381956a04 100644 --- a/tests/test-backend-ops.cpp +++ b/tests/test-backend-ops.cpp @@ -3909,17 +3909,10 @@ static std::vector> make_test_cases_eval() { test_cases.emplace_back(new test_gla(GGML_TYPE_F32, 32, 64, 32, 4)); test_cases.emplace_back(new test_gla(GGML_TYPE_F32, 32, 64, 128, 4)); - for (int i = 1; i < 9; ++i) { - test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 16, i, 256, { 1, 1}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(GGML_TYPE_Q4_0, GGML_TYPE_F32, 16, i, 256, { 1, 1}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(GGML_TYPE_Q4_1, GGML_TYPE_F32, 16, i, 256, { 1, 1}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(GGML_TYPE_Q5_0, GGML_TYPE_F32, 16, i, 256, { 1, 1}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(GGML_TYPE_Q5_1, GGML_TYPE_F32, 16, i, 256, { 1, 1}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(GGML_TYPE_Q8_0, GGML_TYPE_F32, 16, i, 256, { 1, 1}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(GGML_TYPE_Q4_K, GGML_TYPE_F32, 16, i, 256, { 1, 1}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(GGML_TYPE_Q5_K, GGML_TYPE_F32, 16, i, 256, { 1, 1}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(GGML_TYPE_Q6_K, GGML_TYPE_F32, 16, i, 256, { 1, 1}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(GGML_TYPE_IQ4_NL, GGML_TYPE_F32, 16, i, 256, { 1, 1}, {1, 1})); + for (ggml_type type_a : all_types) { + for (int i = 1; i < 10; ++i) { + test_cases.emplace_back(new test_mul_mat(type_a, GGML_TYPE_F32, 16, i, 256, { 1, 1}, {1, 1})); + } } #if 1 From c07e87f38bd0c22ec6dbc852ae50aaa1c64632d4 Mon Sep 17 00:00:00 2001 From: stduhpf Date: Fri, 24 Jan 2025 09:02:38 +0100 Subject: [PATCH 021/162] server : (webui) put DeepSeek R1 CoT in a collapsible
element (#11364) * webui : put DeepSeek R1 CoT in a collapsible
element * webui: refactor split * webui: don't use regex to split cot and response * webui: format+qol * webui: no loading icon if the model isn't generating * ui fix, add configs * add jsdoc types * only filter for assistant msg * build * update build --------- Co-authored-by: Xuan Son Nguyen --- examples/server/public/index.html.gz | Bin 1206492 -> 1207150 bytes examples/server/webui/index.html | 27 ++++- examples/server/webui/src/main.js | 165 +++++++++++++++++++++------ 3 files changed, 159 insertions(+), 33 deletions(-) diff --git a/examples/server/public/index.html.gz b/examples/server/public/index.html.gz index 26f3583bdf844ccdb67fb197a56991a25d4b2ecc..582ccc0d3f8d07ce79dd9e978772f9c5ea85c426 100644 GIT binary patch delta 1136744 zcmV(!K;^&O(Mj&sNq--U2mk;800062w7uPW+qkkQc;8PUaeH`(c3F|)UfI2xthCqzIlZCssNCX?DXz6-o5#3WY-b z;c0tk=ciWdY?@cCylN$_DwmT&w8nWMS{IAF$XeyNrKh4bR)3|`LS~(xTCG=_3NLgy zOLU$lMRD7j2q{#eMb^5wr3$9@T$QP)Dy;RQY{^o$M3(E8#t+g*vRsK&7q?jAtZdDa zOVLWFiJXWET1t$CYUz?13_gmB*85jMs}iZsOWDdLrJo$^zc@PR{Is*P_tVq%i?`3u zKD|3=P4%qU`+w=F`w>aD_fxC&bS89y?W;;?9=t#MZRgjZ$&krR@Zc&J*Yi^8pq0{? zH4m=yOiy_xuJTmu&|$cB(Wf1n)s>mfYmC#mprHtw)x7BEqyx|JeZZ) zqQFK~SyiRVC%N3aN>uA*j|;wcr>CmCZk^rE#eq_#iUeErF}q55BtU~?d{1|#NfimU zT)yl@!Sh7obOqazQORrFl#Hr`o&zP43{hj&nydUO(TF*s$N~m(AUlW|kzldzOoWaE zWAI+y|9{-T`&yD^G^bTE6Lpg_F}o0|H7k{9>1iTcrA$S@V%^GRr4yNoa@_hTlFL(} z2fCAFnfYji9|g(a)_oO}-}!5mYk}Cc*>^Qiw(lU<8j=h~)dOHiQbcmE!+Kg05LiDN zFC?LB#O~5kR=TBmR;G)Ykh+s9k!W#H2z-lzB7c{c0qZDHyvZxw&&QDtL*1zsb416= ze~#>g&y^_3Bnuc*LNAo;k4qJq?^L*S>rZ`K2z7fZ3X$qk?H5J#Kk#ekN)&vfsp0=% zOhpyzOL5&gTId9O|MsF1>Po1n;(K?^H%k0Q#qx1fb_fqS57KE~WH^9;H3d^FSmNA> z?0>k-M8(pMPA12=EI1F|ygL3p2*VV|j_>O|3PTm8Y{fdI=|$v51$Xtw;&vCR#f4Tv z#O>~i^&Q+>GO8TtOMbWN8$h+HPA;{Ws9fKMVN^D6+{}jNqn;m z)}nRzmewH-Xiiy&T<{Z8;Q7b zcFg(@pj_2Zz!|;E$5GW0bB8PV%-h|*0}eu}KNdQjMpb93#28ApTCs@rAN~CEPd~T* z=hZ?ys-}q&S?g-I^N&t%_ots*QOa76yS-m`=1NpT>ei>lP2P$Qt`f;wpUOomk$+k1 z!$J_fQ~AY0m#V_niaZsv60M_GXFvV?^P@*Uw_E=)8XdnKoxXZ;Fgp0{w}a%5MpN zw}S7ApATV6^N8`iyA_;P^wjRbrGG+7Dmu7(JTEh`ucI#GocDUYFkDOSndEL5Mr-Mh z*Lwv$)%3x@=b1yXQC)AN$rZ5<`^VF0HOXPyc@4B+?PgPAW9ErtR7IeReo zL`)8Du<5q~^ReeRy_^RQIRZG@%&N4?$> z_*gy&1Jm*_fI0Q)1p5+(*!$o(IS#^5oOg%#wiAS55Nywp&3Pqp^Xd_*3i#aRf8uJm z6t{p2T#4~$Tq^p-v{HVMWhS19ajC>nxsci=(Tm8|OBnogY36OSh<}{<&Dd9g+vDpQ zb>(fSv`&&^axai!3<<)U=9BDQXv0lMsy#}p?!SMn)MdbdD zlj8^L^>MTxdv?p4DkAP5d&_0?vB&M|pA_XqQs9~BX|Ms)5# zH6@$Jc&$0Fseky+XHWDlP0XF`t=N8j`u4bEC|5qdjWk4tZ?(-SpX3cxOH?nS6YK^Kr7Q%{fdx)2 z#a6pWGvuxZK{`bsZ*xt=xyFgRRsS#W+ZIzC5gjVTAjJmnvPiKwsUpRY|E`$N>*lgm zF@0VRd39b6S9Zqq3aM2qA4i0Q%cVK%xcRhGQtk3b{bCkP=6xfc=WHI&;M)q^Wa}U|Lf7CNi)KCna}n#JZwW$%3TNoW|^I8mvzRaI!MxK zB>5hKMmFP>wp6~$`pQCNuNQ`qK3C`6VMnWc7O^2$=RNm=Tp;L%nOy8zh_{6uXAtxq z0P2y`TGKoT)|j$fw!}K{ZB50NOAp5-p;6$9R)5%Uk2l)c3D`i!m5e0o>uvsJ>#kbG zTX$;J|FUYPrtWe|NK*Hx?yTmb@8-|o&)>lrZ0%eQSzjUCwz=94S^=vO!C=6>QDYTT zUQ&5CjoN~_>1}ckz%AUo5TbW!kyKTzq0+Ynl20z`cEYfIA|lNU@N)%jQC`gn@AX#L2 z3A1DlS|#ZvT;-W40c8{!7)A|AX)=SVT&Pq)n#il90wb*fS=tBWXL4DA8+Te3_nuqBGD_&jru3Ts=IalR`=CdNv0P#{Z%1r1aFDl6Lq$npa6LJC7Vm3?EEod>D7f9YOiZZ?Y zwkUBs8LMO_KqDpuQ0(%cx|%>D^M4r@w7*9secQgBsYF)P>oix0OKFkM-{BTwNrHRTw6h%Hq4pBTSaEN2^9BUjUTIDzNW_Kj>387qCh3J9L@~SMZ zL|x%UJ{~VB@dgEPxHn-+MU)lA47f#6icX}aGWe>>`RO#t%4-%Vbeic_N<`3+&UYSu(-?90}F@qId+KOEsUCMLD^Jv3NTk(-ez$W!`k* zbS~0Gktna*r}MJTK11M*#o0n#EDC{q^EfXM7mzK_C(>@q6PV)J#r&Tm_;c!3kxTP0 zQ7=`J<+#D)5)uk#Nrj}Lnt#&2Nu4VyY#=qss=OxhK?`w44ZD9@C<*hjxSf>dm%fF~ zBt`u#lnVonx+;r2Bb0zjmvgADbNq%m!x`=${}JXGBBg09FXW{xuO%!h0VvZAV7!a+ z6j>UX7Br7LH?sm}iJ?rhq{t`ItQPZ3lw*eN&xA~ivJx;8#Fos)2!GfNW@DA4=D%rU zQrym`Fw0>^i&11+!K^6d1nJ&vwkULN2tfri39}Mra9LQ2Xz915OZAqrMj;Iyy}nQZ zOo_cqcNxs-sn}&Oqo?sMg9$xly9~Z(Jjk_}RcSdFkQ7CEJzf+=l`0`5kwRHsB}Goh z)4W1zElVR+1TP2W*QG3O1Gu23zh?|S_sr9F07-Q#Q$R(>xPMF+6+O+1mzQ2#TiL^3Oo45w3( zUgG>OH2p7hJ}-o&&Uk2Un8I0#Jc8N!+ikI2k|Z^-yZSASha}T;4d!RZDn7u-tMR;V z(Uq{=fDw{Hdw&B@lX;Fi&39p5%h|jTT08`lizK~71e6(EOw4+{C>5g4#bP`bIBwkR za92;KNr8M7JyDn3z|97Ztc%&k@gHH8X)r~g<3C*BR)OMvQL{woOYb+D_N;oQ(y~-p z1)hEc(rRwmghUJ4>gm9Plyq}m=?|4S%^YXtwM6kWWPd7|Oz6XzD(ByEZ3vknD+|~w zbt!JAxugx+Y|{A80v;b-VSF~KgG~g+SDmPd(3ZujU@C~pTSS}YlPQqI7XKBAoWNA; z`3~aS7366tA z1V_}FC4Vv>iwgIN8~ih@Gt6@7o_}-wl!E^$xH)2{Y$g0d1vu4M@FVe0&Eeph} zd0F9pX7vQLfs}>>x`ho+GCwEDJSb5-unJXqUC}>c0TY>Bls9H+HVf1&K&Yk(rs8_Q zf0YqInTm5!6oki6sTBXRl70wul}c$d!!rz2T7S$fTU|3%$puMo!A`W@$&i5|UW?{q zfkbz1Bqw0>kk=}i2Mk7Lz2D3VS<(8IddK2OlBSE7l1nn`>wb8V7#h^?R} zwJ1DFQK}upaGd+Z@z|SbJBBB!Hh50+rUY(zh;^34oYGEALv<-Qi6+6PEDKd(A8sJM zg$&7xC`dg{d@MpSGaTphl2n-ZuIhtPMStWp%dc{5Br9jRO#GS377DT($ZkPo6G5;N zg}5?f6cS0%jz^4^z&)9DdJ=$GC0b1JNfsAW{jJqNjO!DUmaqC$g->P7mfuF7=LSygt>~d9gdy+W2f*gI+el z=F*;45*qA?D}i%4H&beU_Vu6j)2I6BGmy4bU5R}p+s#`w7pXqMal%~Dd|nCjB}Mz= zqJnj0HNO6d|32Bx(IP03Nq;(q%|)W0lMcr`zgVbx4?VciLRNVxt2*g7ksyzU2?jTm zsF0OXc-9i2Zb01v*~ma8+>YukjH;l0*P>`;&$uaS+E5ICDbRRkF_|{#v45W2;E0jhlMv}r z*q@y&L6tem!M%jib&gUH)zW0{zkV%q>E36#Ms%Fzbp@|~_-Z%-$4{tnl8RFU;9DH) z8^^VIJjO*KJ|GuS)%*ti{Aqtb(UE#5k?FKl<{5coWxz=9&5YrzT>!c?EDIre{bY%v z1t<=%V!2xJ02Tzwc}{_)s9b! 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+ +
+ Reasoning models +
+
+ + Expand though process by default for generating message +
+
+ + Exclude thought process when sending request to API (Recommended for DeepSeek-R1) +
+
+
Advanced config @@ -261,7 +276,17 @@
- +
+ + + + Thinking + + Thought Process + + +
+
diff --git a/examples/server/webui/src/main.js b/examples/server/webui/src/main.js index feb741a4e..90f4ca368 100644 --- a/examples/server/webui/src/main.js +++ b/examples/server/webui/src/main.js @@ -17,6 +17,11 @@ import { asyncIterator } from '@sec-ant/readable-stream/ponyfill/asyncIterator'; const isDev = import.meta.env.MODE === 'development'; +// types +/** @typedef {{ id: number, role: 'user' | 'assistant', content: string, timings: any }} Message */ +/** @typedef {{ role: 'user' | 'assistant', content: string }} APIMessage */ +/** @typedef {{ id: string, lastModified: number, messages: Array }} Conversation */ + // utility functions const isString = (x) => !!x.toLowerCase; const isBoolean = (x) => x === true || x === false; @@ -50,6 +55,8 @@ const CONFIG_DEFAULT = { apiKey: '', systemMessage: 'You are a helpful assistant.', showTokensPerSecond: false, + showThoughtInProgress: false, + excludeThoughtOnReq: true, // make sure these default values are in sync with `common.h` samplers: 'edkypmxt', temperature: 0.8, @@ -172,6 +179,7 @@ const MessageBubble = defineComponent({ config: Object, msg: Object, isGenerating: Boolean, + showThoughtInProgress: Boolean, editUserMsgAndRegenerate: Function, regenerateMsg: Function, }, @@ -188,7 +196,31 @@ const MessageBubble = defineComponent({ prompt_per_second: this.msg.timings.prompt_n / (this.msg.timings.prompt_ms / 1000), predicted_per_second: this.msg.timings.predicted_n / (this.msg.timings.predicted_ms / 1000), }; - } + }, + splitMsgContent() { + const content = this.msg.content; + if (this.msg.role !== 'assistant') { + return { content }; + } + let actualContent = ''; + let cot = ''; + let isThinking = false; + let thinkSplit = content.split('', 2); + actualContent += thinkSplit[0]; + while (thinkSplit[1] !== undefined) { + // tag found + thinkSplit = thinkSplit[1].split('', 2); + cot += thinkSplit[0]; + isThinking = true; + if (thinkSplit[1] !== undefined) { + // closing tag found + isThinking = false; + thinkSplit = thinkSplit[1].split('', 2); + actualContent += thinkSplit[0]; + } + } + return { content: actualContent, cot, isThinking }; + }, }, methods: { copyMsg() { @@ -208,7 +240,10 @@ const MessageBubble = defineComponent({ // format: { [convId]: { id: string, lastModified: number, messages: [...] } } // convId is a string prefixed with 'conv-' const StorageUtils = { - // manage conversations + /** + * manage conversations + * @returns {Array} + */ getAllConversations() { const res = []; for (const key in localStorage) { @@ -219,11 +254,19 @@ const StorageUtils = { res.sort((a, b) => b.lastModified - a.lastModified); return res; }, - // can return null if convId does not exist + /** + * can return null if convId does not exist + * @param {string} convId + * @returns {Conversation | null} + */ getOneConversation(convId) { return JSON.parse(localStorage.getItem(convId) || 'null'); }, - // if convId does not exist, create one + /** + * if convId does not exist, create one + * @param {string} convId + * @param {Message} msg + */ appendMsg(convId, msg) { if (msg.content === null) return; const conv = StorageUtils.getOneConversation(convId) || { @@ -235,12 +278,24 @@ const StorageUtils = { conv.lastModified = Date.now(); localStorage.setItem(convId, JSON.stringify(conv)); }, + /** + * Get new conversation id + * @returns {string} + */ getNewConvId() { return `conv-${Date.now()}`; }, + /** + * remove conversation by id + * @param {string} convId + */ remove(convId) { localStorage.removeItem(convId); }, + /** + * remove all conversations + * @param {string} convId + */ filterAndKeepMsgs(convId, predicate) { const conv = StorageUtils.getOneConversation(convId); if (!conv) return; @@ -248,6 +303,11 @@ const StorageUtils = { conv.lastModified = Date.now(); localStorage.setItem(convId, JSON.stringify(conv)); }, + /** + * remove last message from conversation + * @param {string} convId + * @returns {Message | undefined} + */ popMsg(convId) { const conv = StorageUtils.getOneConversation(convId); if (!conv) return; @@ -322,10 +382,12 @@ const mainApp = createApp({ data() { return { conversations: StorageUtils.getAllConversations(), - messages: [], // { id: number, role: 'user' | 'assistant', content: string } + /** @type {Array} */ + messages: [], viewingConvId: StorageUtils.getNewConvId(), inputMsg: '', isGenerating: false, + /** @type {Array | null} */ pendingMsg: null, // the on-going message from assistant stopGeneration: () => {}, selectedTheme: StorageUtils.getTheme(), @@ -333,6 +395,7 @@ const mainApp = createApp({ showConfigDialog: false, // const themes: THEMES, + /** @type {CONFIG_DEFAULT} */ configDefault: {...CONFIG_DEFAULT}, configInfo: {...CONFIG_INFO}, isDev, @@ -425,42 +488,50 @@ const mainApp = createApp({ this.isGenerating = true; try { + /** @type {CONFIG_DEFAULT} */ + const config = this.config; const abortController = new AbortController(); this.stopGeneration = () => abortController.abort(); + /** @type {Array} */ + let messages = [ + { role: 'system', content: config.systemMessage }, + ...normalizeMsgsForAPI(this.messages), + ]; + if (config.excludeThoughtOnReq) { + messages = filterThoughtFromMsgs(messages); + } + if (isDev) console.log({messages}); const params = { - messages: [ - { role: 'system', content: this.config.systemMessage }, - ...this.messages, - ], + messages, stream: true, cache_prompt: true, - samplers: this.config.samplers, - temperature: this.config.temperature, - dynatemp_range: this.config.dynatemp_range, - dynatemp_exponent: this.config.dynatemp_exponent, - top_k: this.config.top_k, - top_p: this.config.top_p, - min_p: this.config.min_p, - typical_p: this.config.typical_p, - xtc_probability: this.config.xtc_probability, - xtc_threshold: this.config.xtc_threshold, - repeat_last_n: this.config.repeat_last_n, - repeat_penalty: this.config.repeat_penalty, - presence_penalty: this.config.presence_penalty, - frequency_penalty: this.config.frequency_penalty, - dry_multiplier: this.config.dry_multiplier, - dry_base: this.config.dry_base, - dry_allowed_length: this.config.dry_allowed_length, - dry_penalty_last_n: this.config.dry_penalty_last_n, - max_tokens: this.config.max_tokens, - timings_per_token: !!this.config.showTokensPerSecond, - ...(this.config.custom.length ? JSON.parse(this.config.custom) : {}), + samplers: config.samplers, + temperature: config.temperature, + dynatemp_range: config.dynatemp_range, + dynatemp_exponent: config.dynatemp_exponent, + top_k: config.top_k, + top_p: config.top_p, + min_p: config.min_p, + typical_p: config.typical_p, + xtc_probability: config.xtc_probability, + xtc_threshold: config.xtc_threshold, + repeat_last_n: config.repeat_last_n, + repeat_penalty: config.repeat_penalty, + presence_penalty: config.presence_penalty, + frequency_penalty: config.frequency_penalty, + dry_multiplier: config.dry_multiplier, + dry_base: config.dry_base, + dry_allowed_length: config.dry_allowed_length, + dry_penalty_last_n: config.dry_penalty_last_n, + max_tokens: config.max_tokens, + timings_per_token: !!config.showTokensPerSecond, + ...(config.custom.length ? JSON.parse(config.custom) : {}), }; const chunks = sendSSEPostRequest(`${BASE_URL}/v1/chat/completions`, { method: 'POST', headers: { 'Content-Type': 'application/json', - ...(this.config.apiKey ? {'Authorization': `Bearer ${this.config.apiKey}`} : {}) + ...(config.apiKey ? {'Authorization': `Bearer ${config.apiKey}`} : {}) }, body: JSON.stringify(params), signal: abortController.signal, @@ -477,7 +548,7 @@ const mainApp = createApp({ }; } const timings = chunk.timings; - if (timings && this.config.showTokensPerSecond) { + if (timings && config.showTokensPerSecond) { // only extract what's really needed, to save some space this.pendingMsg.timings = { prompt_n: timings.prompt_n, @@ -598,3 +669,33 @@ try {
`; } + +/** + * filter out redundant fields upon sending to API + * @param {Array} messages + * @returns {Array} + */ +function normalizeMsgsForAPI(messages) { + return messages.map((msg) => { + return { + role: msg.role, + content: msg.content, + }; + }); +} + +/** + * recommended for DeepsSeek-R1, filter out content between and tags + * @param {Array} messages + * @returns {Array} + */ +function filterThoughtFromMsgs(messages) { + return messages.map((msg) => { + return { + role: msg.role, + content: msg.role === 'assistant' + ? msg.content.split('').at(-1).trim() + : msg.content, + }; + }); +} From 01f37edf1a6fae76fd9e2e02109aae6995a914f0 Mon Sep 17 00:00:00 2001 From: Eric Curtin Date: Fri, 24 Jan 2025 09:39:24 +0000 Subject: [PATCH 022/162] Update llama-run README.md (#11386) For consistency Signed-off-by: Eric Curtin --- examples/run/README.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/examples/run/README.md b/examples/run/README.md index a06805441..89a552079 100644 --- a/examples/run/README.md +++ b/examples/run/README.md @@ -3,11 +3,10 @@ The purpose of this example is to demonstrate a minimal usage of llama.cpp for running models. ```bash -llama-run granite-code +llama-run granite3-moe ``` ```bash -llama-run -h Description: Runs a llm @@ -17,7 +16,7 @@ Usage: Options: -c, --context-size Context size (default: 2048) - -n, --ngl + -n, -ngl, --ngl Number of GPU layers (default: 0) --temp Temperature (default: 0.8) From 1af6945eb0d0e97525dc0ec18167abf05c28f482 Mon Sep 17 00:00:00 2001 From: "Bernhard M. Wiedemann" Date: Fri, 24 Jan 2025 12:21:35 +0100 Subject: [PATCH 023/162] cmake : avoid -march=native when reproducible build is wanted (#11366) See https://reproducible-builds.org/ for why this is good and https://reproducible-builds.org/specs/source-date-epoch/ for the definition of this variable. Without this patch, compiling on different machines produced different binaries, which made verification of results difficult. Fixes: #11317 This patch was done while working on reproducible builds for openSUSE. --- ggml/CMakeLists.txt | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/ggml/CMakeLists.txt b/ggml/CMakeLists.txt index 185079aa4..ff68ddc21 100644 --- a/ggml/CMakeLists.txt +++ b/ggml/CMakeLists.txt @@ -58,7 +58,8 @@ else() set(GGML_BLAS_VENDOR_DEFAULT "Generic") endif() -if (CMAKE_CROSSCOMPILING) +if (CMAKE_CROSSCOMPILING OR DEFINED ENV{SOURCE_DATE_EPOCH}) + message(STATUS "Setting GGML_NATIVE_DEFAULT to OFF") set(GGML_NATIVE_DEFAULT OFF) else() set(GGML_NATIVE_DEFAULT ON) From 8137b4bb2b5fd4cb4a752bfe69ccfd915a313d58 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= Date: Fri, 24 Jan 2025 12:38:31 +0100 Subject: [PATCH 024/162] CPU/CUDA: fix (GQA) mul mat back, add CUDA support (#11380) --- ggml/src/ggml-cpu/ggml-cpu.c | 4 +- ggml/src/ggml-cpu/ggml-cpu.cpp | 3 +- ggml/src/ggml-cuda/binbcast.cu | 54 ++++++++------- ggml/src/ggml-cuda/ggml-cuda.cu | 2 +- ggml/src/ggml-cuda/out-prod.cu | 7 +- ggml/src/ggml.c | 32 +++++---- tests/test-backend-ops.cpp | 115 +++++++++++++++++++++++++++----- 7 files changed, 156 insertions(+), 61 deletions(-) diff --git a/ggml/src/ggml-cpu/ggml-cpu.c b/ggml/src/ggml-cpu/ggml-cpu.c index 0ed92b3ff..9e627da8c 100644 --- a/ggml/src/ggml-cpu/ggml-cpu.c +++ b/ggml/src/ggml-cpu/ggml-cpu.c @@ -7883,7 +7883,7 @@ static void ggml_compute_forward_out_prod_f32( float * s0 = (float *) ((char *) src0->data + ( i01*nb01 + i02*nb02 + i03*nb03)); float * s1 = (float *) ((char *) src1->data + (i1*nb10 + i11*nb11 + i12*nb12 + i13*nb13)); - float * d = (float *) ((char *) dst->data + ( i1*nb1 + i2*nb2 + i3*nb3)); + float * d = (float *) ((char *) dst->data + ( i1*nb1 + i2*nb2 + i3*nb3)); ggml_vec_mad_f32_unroll(ne0, nb01, nb11, d, s0, s1); } @@ -7892,7 +7892,7 @@ static void ggml_compute_forward_out_prod_f32( float * s0 = (float *) ((char *) src0->data + ( i01*nb01 + i02*nb02 + i03*nb03)); float * s1 = (float *) ((char *) src1->data + (i1*nb10 + i11*nb11 + i12*nb12 + i13*nb13)); - float * d = (float *) ((char *) dst->data + ( i1*nb1 + i2*nb2 + i3*nb3)); + float * d = (float *) ((char *) dst->data + ( i1*nb1 + i2*nb2 + i3*nb3)); ggml_vec_mad_f32(ne0, d, s0, *s1); } diff --git a/ggml/src/ggml-cpu/ggml-cpu.cpp b/ggml/src/ggml-cpu/ggml-cpu.cpp index 35a1c876c..2ccb4b472 100644 --- a/ggml/src/ggml-cpu/ggml-cpu.cpp +++ b/ggml/src/ggml-cpu/ggml-cpu.cpp @@ -416,7 +416,8 @@ static bool ggml_backend_cpu_device_supports_op(ggml_backend_dev_t dev, const st case GGML_OP_IM2COL_BACK: return src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32; case GGML_OP_OUT_PROD: - return (src0->type == GGML_TYPE_F32 || ggml_is_quantized(src0->type)) && src1->type == GGML_TYPE_F32; + return (src0->type == GGML_TYPE_F32 || (ggml_is_quantized(src0->type) && src0->ne[2] == src1->ne[2] && src0->ne[3] == src1->ne[3])) && + src1->type == GGML_TYPE_F32 && op->type == GGML_TYPE_F32; default: return true; } diff --git a/ggml/src/ggml-cuda/binbcast.cu b/ggml/src/ggml-cuda/binbcast.cu index c7b6be4e2..ce4b9cfb5 100644 --- a/ggml/src/ggml-cuda/binbcast.cu +++ b/ggml/src/ggml-cuda/binbcast.cu @@ -93,26 +93,31 @@ static __global__ void k_bin_bcast_unravel(const src0_t * src0, const src1_t * s template static __global__ void k_repeat_back( - const T * __restrict__ src, T * __restrict__ dst, const int64_t ne00, const int64_t ne01, const int64_t ne02, - const int64_t ne0, const int64_t ne1, const int64_t ne2) { + const T * __restrict__ src, T * __restrict__ dst, const int64_t ne00, const int64_t ne01, const int64_t ne02, const int64_t ne03, + const size_t s00, const size_t s01, const size_t s02, const size_t s03, + const int64_t ne0, const int64_t ne1, const int64_t ne2, const int64_t ne3) { - const int64_t tid0 = (int64_t) blockIdx.x*blockDim.x + threadIdx.x; - const int64_t tid1 = (int64_t) blockIdx.y*blockDim.y + threadIdx.y; - const int64_t tid2 = (int64_t) blockIdx.z*blockDim.z + threadIdx.z; + const int64_t tid0 = int64_t(blockIdx.x)*blockDim.x + threadIdx.x; + const int64_t tid1 = int64_t(blockIdx.y)*blockDim.y + threadIdx.y; + const int64_t tid23 = int64_t(blockIdx.z)*blockDim.z + threadIdx.z; + const int64_t tid2 = tid23 % ne2; + const int64_t tid3 = tid23 / ne2; if (tid0 >= ne0) { return; } T sum = 0; - for (int64_t i2 = tid2; i2 < ne02; i2 += ne2) { - for (int64_t i1 = tid1; i1 < ne01; i1 += ne1) { - for (int64_t i0 = tid0; i0 < ne00; i0 += ne0) { - sum += src[i2*ne01*ne00 + i1*ne00 + i0]; + for (int64_t i3 = tid3; i3 < ne03; i3 += ne3) { + for (int64_t i2 = tid2; i2 < ne02; i2 += ne2) { + for (int64_t i1 = tid1; i1 < ne01; i1 += ne1) { + for (int64_t i0 = tid0; i0 < ne00; i0 += ne0) { + sum += src[i3*s03 + i2*s02 + i1*s01 + i0*s00]; + } } } } - dst[tid2*ne1*ne0 + tid1*ne0 + tid0] = sum; + dst[tid3*ne2*ne1*ne0 + tid2*ne1*ne0 + tid1*ne0 + tid0] = sum; } template @@ -274,12 +279,14 @@ struct bin_bcast_cuda { template static void repeat_back_cuda( - const T * src, T * dst, const int64_t ne00, const int64_t ne01, const int64_t ne02, - const int64_t ne0, const int64_t ne1, const int64_t ne2, cudaStream_t stream) { + const T * src, T * dst, const int64_t ne00, const int64_t ne01, const int64_t ne02, const int64_t ne03, + const size_t s00, const size_t s01, const size_t s02, const size_t s03, + const int64_t ne0, const int64_t ne1, const int64_t ne2, const int64_t ne3, cudaStream_t stream) { const dim3 block_dims(WARP_SIZE, 1, 1); - const dim3 block_nums((ne0 + WARP_SIZE - 1) / WARP_SIZE, ne1, ne2); - k_repeat_back<<>>(src, dst, ne00, ne01, ne02, ne0, ne1, ne2); + const dim3 block_nums((ne0 + WARP_SIZE - 1) / WARP_SIZE, ne1, ne2*ne3); + k_repeat_back<<>> + (src, dst, ne00, ne01, ne02, ne03, s00, s01, s02, s03, ne0, ne1, ne2, ne3); } template @@ -326,27 +333,26 @@ void ggml_cuda_op_repeat_back(ggml_backend_cuda_context & ctx, ggml_tensor * dst const ggml_tensor * src0 = dst->src[0]; GGML_ASSERT(src0->type == dst->type); - GGML_ASSERT(ggml_is_contiguous(src0)); GGML_ASSERT(ggml_is_contiguous(dst)); GGML_ASSERT(ggml_can_repeat(dst, src0)); cudaStream_t stream = ctx.stream(); - const int64_t ne00 = src0->ne[0]; - const int64_t ne01 = src0->ne[1]; - const int64_t ne02 = src0->ne[2]; - GGML_ASSERT(src0->ne[3] == 1); + GGML_TENSOR_UNARY_OP_LOCALS; - const int64_t ne0 = dst->ne[0]; - const int64_t ne1 = dst->ne[1]; - const int64_t ne2 = dst->ne[2]; - GGML_ASSERT(dst->ne[3] == 1); + GGML_ASSERT(ne2*ne3 <= (1 << 15)); + + const size_t ts = ggml_type_size(src0->type); + const size_t s00 = nb00 / ts; + const size_t s01 = nb01 / ts; + const size_t s02 = nb02 / ts; + const size_t s03 = nb03 / ts; switch (dst->type) { case GGML_TYPE_F32: { const float * src0_d = (const float *) src0->data; float * dst_d = (float *) dst->data; - repeat_back_cuda(src0_d, dst_d, ne00, ne01, ne02, ne0, ne1, ne2, stream); + repeat_back_cuda(src0_d, dst_d, ne00, ne01, ne02, ne03, s00, s01, s02, s03, ne0, ne1, ne2, ne3, stream); } break; default: { GGML_ASSERT(false); diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index 7fd1fc853..e602419bc 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -3002,7 +3002,7 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g return src0_type != GGML_TYPE_I32 && src0_type != GGML_TYPE_I16; } break; case GGML_OP_REPEAT_BACK: - return op->type == GGML_TYPE_F32 && op->src[0]->ne[3] == 1; + return op->type == GGML_TYPE_F32 && (op->src[0]->ne[2]*op->src[0]->ne[3]) <= (1 << 15); case GGML_OP_CONCAT: { ggml_type src0_type = op->src[0]->type; diff --git a/ggml/src/ggml-cuda/out-prod.cu b/ggml/src/ggml-cuda/out-prod.cu index 73e3e2c47..c9b2b699c 100644 --- a/ggml/src/ggml-cuda/out-prod.cu +++ b/ggml/src/ggml-cuda/out-prod.cu @@ -34,6 +34,9 @@ void ggml_cuda_out_prod(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { CUBLAS_CHECK(cublasSetStream(handle, stream)); + const int64_t lda = nb01 / sizeof(float); + const int64_t ldc = nb1 / sizeof(float); + const bool src1_T = ggml_is_transposed(src1); const cublasOperation_t src1_cublas_op = src1_T ? CUBLAS_OP_N : CUBLAS_OP_T; const int64_t ldb = (src1_T ? nb10 : nb11) / sizeof(float); @@ -57,9 +60,9 @@ void ggml_cuda_out_prod(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { CUBLAS_CHECK( cublasSgemm(handle, CUBLAS_OP_N, src1_cublas_op, ne0, ne1, ne01, - &alpha, src0_d + (i3/dps3)*s03 + (i2/dps2)*s02, ne00, + &alpha, src0_d + (i3/dps3)*s03 + (i2/dps2)*s02, lda, src1_d + i3 *s13 + i2 *s12, ldb, - &beta, dst_d + i3 *s3 + i2 *s2, ne0)); + &beta, dst_d + i3 *s3 + i2 *s2, ldc)); } } } diff --git a/ggml/src/ggml.c b/ggml/src/ggml.c index b1d0d4913..92c4294c5 100644 --- a/ggml/src/ggml.c +++ b/ggml/src/ggml.c @@ -5339,7 +5339,7 @@ static void ggml_compute_backward( } break; case GGML_OP_MUL: { if (src0_needs_grads) { - ggml_add_or_set(ctx, cgraph, isrc0, ggml_mul(ctx, src1, grad)); + ggml_add_or_set(ctx, cgraph, isrc0, ggml_mul(ctx, grad, src1)); } if (src1_needs_grads) { struct ggml_tensor * tmp = ggml_mul(ctx, src0, grad); @@ -5431,21 +5431,25 @@ static void ggml_compute_backward( // src1.shape [n,p,qq,rr] if (src0_needs_grads) { - struct ggml_tensor * s1_tg = + GGML_ASSERT(grad->ne[2] == src1->ne[2]); + GGML_ASSERT(grad->ne[3] == src1->ne[3]); + struct ggml_tensor * tmp = ggml_out_prod(ctx, // [n,m,qq,rr] src1, // [n,p,qq,rr] grad); // [m,p,qq,rr] - const int64_t qq = s1_tg->ne[2]; - const int64_t rr = s1_tg->ne[3]; - const int64_t q1 = src0->ne[2]; - const int64_t r1 = src0->ne[3]; - const bool ne2_broadcasted = qq > q1; - const bool ne3_broadcasted = rr > r1; - if (ne2_broadcasted || ne3_broadcasted) { - // sum broadcast repetitions of s1_tg into shape of src0 - s1_tg = ggml_repeat_back(ctx, s1_tg, src0); + if (!ggml_are_same_shape(tmp, src0)) { + GGML_ASSERT(tmp->ne[0] == src0->ne[0]); + GGML_ASSERT(tmp->ne[1] == src0->ne[1]); + GGML_ASSERT(tmp->ne[3] == 1); + + const int64_t nr2 = tmp->ne[2] / src0->ne[2]; + const size_t nb2 = tmp->nb[2] * nr2; + const size_t nb3 = tmp->nb[2]; + + tmp = ggml_view_4d(ctx, tmp, src0->ne[0], src0->ne[1], src0->ne[2], nr2, tmp->nb[1], nb2, nb3, 0); + tmp = ggml_repeat_back(ctx, tmp, src0); } - ggml_add_or_set(ctx, cgraph, isrc0, s1_tg /*= [n,m,q1,r1]*/); + ggml_add_or_set(ctx, cgraph, isrc0, tmp); } if (src1_needs_grads) { ggml_add_or_set(ctx, cgraph, isrc1, @@ -5514,7 +5518,9 @@ static void ggml_compute_backward( if (src0_needs_grads) { GGML_ASSERT(!cgraph->grads[isrc0] || ggml_is_contiguous(cgraph->grads[isrc0])); GGML_ASSERT(ggml_is_contiguous(grad)); - ggml_add_or_set(ctx, cgraph, isrc0, grad); + GGML_ASSERT(ggml_nelements(tensor) == ggml_nelements(src0)); + ggml_add_or_set(ctx, cgraph, isrc0, + ggml_are_same_shape(tensor, src0) ? grad : ggml_reshape(ctx, grad, src0)); } } break; case GGML_OP_RESHAPE: { diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp index 381956a04..468016403 100644 --- a/tests/test-backend-ops.cpp +++ b/tests/test-backend-ops.cpp @@ -1302,6 +1302,59 @@ struct test_repeat : public test_case { } }; +// GGML_OP_REPEAT_BACK +struct test_repeat_back : public test_case { + const ggml_type type; + const std::array ne; + const std::array nr; + const bool v; // whether src is a noncontiguous view + + std::string vars() override { + return VARS_TO_STR4(type, ne, nr, v); + } + + size_t op_size(ggml_tensor * t) override { + return ggml_nbytes(t) * 2; + } + + test_repeat_back(ggml_type type = GGML_TYPE_F32, + std::array ne = {8, 6, 4, 2}, + std::array nr = {2, 2, 2, 2}, + bool v = false) + : type(type), ne(ne), nr(nr), v(v) {} + + ggml_tensor * build_graph(ggml_context * ctx) override { + ggml_tensor * src = ggml_new_tensor_4d(ctx, type, ne[0]*nr[0], ne[1]*nr[1], ne[2]*nr[2], ne[3]*nr[3]); + ggml_set_name(src, "src"); + + if (v) { + GGML_ASSERT(ne[0] % 2 == 0); + GGML_ASSERT(ne[1] % 2 == 0); + GGML_ASSERT(ne[2] % 2 == 0); + GGML_ASSERT(ne[3] % 2 == 0); + GGML_ASSERT(nr[0] % 2 == 0 || nr[0] == 1); + GGML_ASSERT(nr[1] % 2 == 0 || nr[1] == 1); + GGML_ASSERT(nr[2] % 2 == 0 || nr[2] == 1); + GGML_ASSERT(nr[3] % 2 == 0 || nr[3] == 1); + + const int64_t ne00 = nr[0] == 1 ? src->ne[0] : src->ne[0] / 2; + const int64_t ne01 = nr[1] == 1 ? src->ne[1] : src->ne[1] / 2; + const int64_t ne02 = nr[2] == 1 ? src->ne[2] : src->ne[2] / 2; + const int64_t ne03 = nr[3] == 1 ? src->ne[3] : src->ne[3] / 2; + + src = ggml_view_4d(ctx, src, ne00, ne01, ne02, ne03, src->nb[1], src->nb[2], src->nb[3], 0); + } + + ggml_tensor * target = ggml_new_tensor(ctx, type, 4, ne.data()); + ggml_set_name(target, "target"); + + ggml_tensor * out = ggml_repeat_back(ctx, src, target); + ggml_set_name(out, "out"); + + return out; + } +}; + // GGML_OP_DUP struct test_dup : public test_case { const ggml_type type; @@ -1849,6 +1902,10 @@ struct test_mul_mat : public test_case { return 5e-4; } + int64_t grad_nmax() override { + return 20000; + } + uint64_t op_flops(ggml_tensor * t) override { GGML_UNUSED(t); return 2 * m * n * k * bs[0] * nr[0] * bs[1] * nr[1]; @@ -1878,8 +1935,12 @@ struct test_mul_mat : public test_case { a = ggml_new_tensor_4d(ctx, type_a, ne_a[per[0]], ne_a[per[1]], ne_a[per[2]], ne_a[per[3]]); b = ggml_new_tensor_4d(ctx, type_b, ne_b[per[0]], ne_b[per[1]], ne_b[per[2]], ne_b[per[3]]); - ggml_set_param(ctx, a); - ggml_set_param(ctx, b); + if (!ggml_is_quantized(type_a)) { + if (bs[1] == 1 && nr[1] == 1) { + ggml_set_param(ctx, a); + } + ggml_set_param(ctx, b); + } ggml_set_name(a, "a"); ggml_set_name(b, "b"); @@ -1890,8 +1951,12 @@ struct test_mul_mat : public test_case { } else { a = ggml_new_tensor_4d(ctx, type_a, k, m, bs[0], bs[1]); b = ggml_new_tensor_4d(ctx, type_b, k, n, bs[0]*nr[0], bs[1]*nr[1]); - ggml_set_param(ctx, a); - ggml_set_param(ctx, b); + if (!ggml_is_quantized(type_a)) { + if (bs[1] == 1 && nr[1] == 1) { + ggml_set_param(ctx, a); + } + ggml_set_param(ctx, b); + } ggml_set_name(a, "a"); ggml_set_name(b, "b"); } @@ -3798,6 +3863,16 @@ static std::vector> make_test_cases_eval() { test_cases.emplace_back(new test_repeat(GGML_TYPE_I16, {10, 5, 4, ne3}, {1, 1, 1, 2})); } + for (bool view : {false, true}) { + test_cases.emplace_back(new test_repeat_back(GGML_TYPE_F32, {8, 6, 4, 2}, {1, 1, 1, 1}, view)); + test_cases.emplace_back(new test_repeat_back(GGML_TYPE_F32, {8, 6, 4, 2}, {2, 1, 1, 1}, view)); + test_cases.emplace_back(new test_repeat_back(GGML_TYPE_F32, {8, 6, 4, 2}, {1, 2, 1, 1}, view)); + test_cases.emplace_back(new test_repeat_back(GGML_TYPE_F32, {8, 6, 4, 2}, {1, 1, 2, 1}, view)); + test_cases.emplace_back(new test_repeat_back(GGML_TYPE_F32, {8, 6, 4, 2}, {1, 1, 1, 2}, view)); + test_cases.emplace_back(new test_repeat_back(GGML_TYPE_I32, {8, 6, 4, 2}, {2, 1, 1, 1}, view)); + test_cases.emplace_back(new test_repeat_back(GGML_TYPE_I16, {8, 6, 4, 2}, {1, 1, 1, 2}, view)); + } + test_cases.emplace_back(new test_dup(GGML_TYPE_F32)); test_cases.emplace_back(new test_dup(GGML_TYPE_F16)); test_cases.emplace_back(new test_dup(GGML_TYPE_I32)); @@ -3919,21 +3994,25 @@ static std::vector> make_test_cases_eval() { for (ggml_type type_a : base_types) { for (ggml_type type_b : {GGML_TYPE_F32, GGML_TYPE_F16}) { // test cases without permutation - test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, { 1, 1}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {10, 1}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {10, 1}, {2, 1})); - test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {10, 10}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {10, 10}, {2, 1})); - test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {10, 10}, {1, 2})); - test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {10, 10}, {2, 2})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {1, 1}, {1, 1})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {1, 1}, {2, 1})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {1, 1}, {1, 2})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {3, 1}, {1, 1})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {3, 1}, {2, 1})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {3, 2}, {1, 1})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {3, 2}, {2, 1})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {3, 2}, {1, 2})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {3, 2}, {2, 2})); - test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, { 1, 1}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, {10, 1}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, {10, 1}, {2, 1})); - test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, {10, 10}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, {10, 10}, {2, 1})); - test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, {10, 10}, {1, 2})); - test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, {10, 10}, {2, 2})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, {1, 1}, {1, 1})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, {1, 1}, {2, 1})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, {1, 1}, {1, 2})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, {3, 1}, {1, 1})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, {3, 1}, {2, 1})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, {3, 2}, {1, 1})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, {3, 2}, {2, 1})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, {3, 2}, {1, 2})); + test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 16, 256, {3, 2}, {2, 2})); // test cases with permutation test_cases.emplace_back(new test_mul_mat(type_a, type_b, 16, 1, 256, {2, 3}, {1, 1}, {0, 2, 1, 3})); From a07c2c8a52464646ce13040e62c1ea04459f721e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jafar=20Uru=C3=A7?= Date: Fri, 24 Jan 2025 13:30:13 +0000 Subject: [PATCH 025/162] docs : Update readme to build targets for local docker build (#11368) --- docs/backend/SYCL.md | 2 +- docs/build.md | 2 +- docs/docker.md | 12 ++++++------ 3 files changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/backend/SYCL.md b/docs/backend/SYCL.md index 8d8312e91..89ddbd669 100644 --- a/docs/backend/SYCL.md +++ b/docs/backend/SYCL.md @@ -133,7 +133,7 @@ The docker build option is currently limited to *intel GPU* targets. ### Build image ```sh # Using FP16 -docker build -t llama-cpp-sycl --build-arg="GGML_SYCL_F16=ON" -f .devops/llama-cli-intel.Dockerfile . +docker build -t llama-cpp-sycl --build-arg="GGML_SYCL_F16=ON" --target light -f .devops/intel.Dockerfile . ``` *Notes*: diff --git a/docs/build.md b/docs/build.md index 3b0d2211d..dd6495028 100644 --- a/docs/build.md +++ b/docs/build.md @@ -286,7 +286,7 @@ You don't need to install Vulkan SDK. It will be installed inside the container. ```sh # Build the image -docker build -t llama-cpp-vulkan -f .devops/llama-cli-vulkan.Dockerfile . +docker build -t llama-cpp-vulkan --target light -f .devops/vulkan.Dockerfile . # Then, use it: docker run -it --rm -v "$(pwd):/app:Z" --device /dev/dri/renderD128:/dev/dri/renderD128 --device /dev/dri/card1:/dev/dri/card1 llama-cpp-vulkan -m "/app/models/YOUR_MODEL_FILE" -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 33 diff --git a/docs/docker.md b/docs/docker.md index 8d90e6ded..dac9a9ec1 100644 --- a/docs/docker.md +++ b/docs/docker.md @@ -60,9 +60,9 @@ Assuming one has the [nvidia-container-toolkit](https://github.com/NVIDIA/nvidia ## Building Docker locally ```bash -docker build -t local/llama.cpp:full-cuda -f .devops/full-cuda.Dockerfile . -docker build -t local/llama.cpp:light-cuda -f .devops/llama-cli-cuda.Dockerfile . -docker build -t local/llama.cpp:server-cuda -f .devops/llama-server-cuda.Dockerfile . +docker build -t local/llama.cpp:full-cuda --target full -f .devops/cuda.Dockerfile . +docker build -t local/llama.cpp:light-cuda --target light -f .devops/cuda.Dockerfile . +docker build -t local/llama.cpp:server-cuda --target server -f .devops/cuda.Dockerfile . ``` You may want to pass in some different `ARGS`, depending on the CUDA environment supported by your container host, as well as the GPU architecture. @@ -95,9 +95,9 @@ Assuming one has the [mt-container-toolkit](https://developer.mthreads.com/musa/ ## Building Docker locally ```bash -docker build -t local/llama.cpp:full-musa -f .devops/full-musa.Dockerfile . -docker build -t local/llama.cpp:light-musa -f .devops/llama-cli-musa.Dockerfile . -docker build -t local/llama.cpp:server-musa -f .devops/llama-server-musa.Dockerfile . +docker build -t local/llama.cpp:full-musa --target full -f .devops/musa.Dockerfile . +docker build -t local/llama.cpp:light-musa --target light -f .devops/musa.Dockerfile . +docker build -t local/llama.cpp:server-musa --target server -f .devops/musa.Dockerfile . ``` You may want to pass in some different `ARGS`, depending on the MUSA environment supported by your container host, as well as the GPU architecture. From 9755129c27da76d768bd7e47e206bac61b40cf18 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Fri, 24 Jan 2025 18:41:30 +0200 Subject: [PATCH 026/162] release : pack /lib in the packages (#11392) * release : pack /lib and /include in the packages * cmake : put libs in /bin * TMP : push artifacts * Revert "TMP : push artifacts" This reverts commit 4decf2c4dfc5cdf5d96ea44c03c8f9801ab41262. * ci : fix HIP cmake compiler options to be on first line * ci : restore the original HIP commands * ci : change ubuntu build from latest to 20.04 * ci : try to fix macos build rpaths * ci : remove obsolete MacOS build * TMP : push artifacts * ci : change back to ubuntu latest * ci : macos set build rpath to "@loader_path" * ci : fix typo * ci : change ubuntu package to 22.04 * Revert "TMP : push artifacts" This reverts commit 537b09e70ffc604c414ee78acf3acb4c940ec597. --- .github/workflows/build.yml | 101 +++++++++++++++++++----------------- CMakeLists.txt | 1 + 2 files changed, 53 insertions(+), 49 deletions(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index fe3b2cdfa..fda726955 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -56,6 +56,7 @@ jobs: mkdir build cd build cmake .. \ + -DCMAKE_BUILD_RPATH="@loader_path" \ -DLLAMA_FATAL_WARNINGS=ON \ -DLLAMA_CURL=ON \ -DGGML_METAL_USE_BF16=ON \ @@ -120,6 +121,7 @@ jobs: # Metal is disabled due to intermittent failures with Github runners not having a GPU: # https://github.com/ggerganov/llama.cpp/actions/runs/8635935781/job/23674807267#step:5:2313 cmake -B build \ + -DCMAKE_BUILD_RPATH="@loader_path" \ -DLLAMA_FATAL_WARNINGS=ON \ -DLLAMA_CURL=ON \ -DGGML_METAL=OFF \ @@ -160,8 +162,8 @@ jobs: path: llama-${{ steps.tag.outputs.name }}-bin-macos-x64.zip name: llama-bin-macos-x64.zip - ubuntu-latest-cmake: - runs-on: ubuntu-latest + ubuntu-cpu-cmake: + runs-on: ubuntu-22.04 steps: - name: Clone @@ -181,7 +183,10 @@ jobs: run: | mkdir build cd build - cmake .. -DLLAMA_FATAL_WARNINGS=ON -DLLAMA_CURL=ON -DGGML_RPC=ON + cmake .. \ + -DLLAMA_FATAL_WARNINGS=ON \ + -DLLAMA_CURL=ON \ + -DGGML_RPC=ON cmake --build . --config Release -j $(nproc) - name: Test @@ -256,7 +261,10 @@ jobs: run: | mkdir build cd build - cmake .. -DLLAMA_FATAL_WARNINGS=ON -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} + cmake .. \ + -DLLAMA_FATAL_WARNINGS=ON \ + -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ + -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} cmake --build . --config ${{ matrix.build_type }} -j $(nproc) - name: Build (no OpenMP) @@ -265,7 +273,11 @@ jobs: run: | mkdir build cd build - cmake .. -DLLAMA_FATAL_WARNINGS=ON -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} -DGGML_OPENMP=OFF + cmake .. \ + -DLLAMA_FATAL_WARNINGS=ON \ + -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ + -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} \ + -DGGML_OPENMP=OFF cmake --build . --config ${{ matrix.build_type }} -j $(nproc) - name: Test @@ -295,7 +307,8 @@ jobs: run: | mkdir build cd build - cmake -DGGML_RPC=ON .. + cmake .. \ + -DGGML_RPC=ON cmake --build . --config Release -j $(nproc) - name: Test @@ -325,7 +338,8 @@ jobs: run: | mkdir build cd build - cmake -DGGML_VULKAN=ON .. + cmake .. \ + -DGGML_VULKAN=ON cmake --build . --config Release -j $(nproc) - name: Test @@ -352,13 +366,18 @@ jobs: - name: Build with native CMake HIP support id: cmake_build run: | - cmake -B build -S . -DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" -DGGML_HIP=ON + cmake -B build -S . \ + -DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \ + -DGGML_HIP=ON cmake --build build --config Release -j $(nproc) - name: Build with legacy HIP support id: cmake_build_legacy_hip run: | - cmake -B build2 -S . -DCMAKE_C_COMPILER=hipcc -DCMAKE_CXX_COMPILER=hipcc -DGGML_HIP=ON + cmake -B build2 -S . \ + -DCMAKE_C_COMPILER=hipcc \ + -DCMAKE_CXX_COMPILER=hipcc \ + -DGGML_HIP=ON cmake --build build2 --config Release -j $(nproc) ubuntu-22-cmake-musa: @@ -379,7 +398,8 @@ jobs: - name: Build with native CMake MUSA support id: cmake_build run: | - cmake -B build -S . -DGGML_MUSA=ON + cmake -B build -S . \ + -DGGML_MUSA=ON cmake --build build --config Release -j $(nproc) ubuntu-22-cmake-sycl: @@ -420,7 +440,10 @@ jobs: source /opt/intel/oneapi/setvars.sh mkdir build cd build - cmake -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx .. + cmake .. \ + -DGGML_SYCL=ON \ + -DCMAKE_C_COMPILER=icx \ + -DCMAKE_CXX_COMPILER=icpx cmake --build . --config Release -j $(nproc) ubuntu-22-cmake-sycl-fp16: @@ -461,42 +484,13 @@ jobs: source /opt/intel/oneapi/setvars.sh mkdir build cd build - cmake -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON .. + cmake .. \ + -DGGML_SYCL=ON \ + -DCMAKE_C_COMPILER=icx \ + -DCMAKE_CXX_COMPILER=icpx \ + -DGGML_SYCL_F16=ON cmake --build . --config Release -j $(nproc) - # TODO: build with GGML_METAL=OFF because test-backend-ops fail on "Apple Paravirtual device" and I don't know - # how to debug it. - # ref: https://github.com/ggerganov/llama.cpp/actions/runs/7132125951/job/19422043567?pr=4359#step:5:6584 - # would be great if we fix these - macOS-latest-cmake: - runs-on: macos-latest - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v4 - - - name: Dependencies - id: depends - continue-on-error: true - run: | - brew update - - - name: Build - id: cmake_build - run: | - sysctl -a - mkdir build - cd build - cmake -DLLAMA_FATAL_WARNINGS=ON -DGGML_METAL=OFF .. - cmake --build . --config Release -j $(sysctl -n hw.logicalcpu) - - - name: Test - id: cmake_test - run: | - cd build - ctest -L main --verbose --timeout 900 - macOS-latest-cmake-ios: runs-on: macos-latest @@ -827,7 +821,13 @@ jobs: - name: Build with CMake run: | - cmake -S . -B build -G Ninja -DCMAKE_BUILD_TYPE=Release -DGGML_NATIVE=OFF -DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES=89-real -DCMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined -DLLAMA_FATAL_WARNINGS=ON + cmake -S . -B build -G Ninja \ + -DCMAKE_BUILD_TYPE=Release \ + -DCMAKE_CUDA_ARCHITECTURES=89-real \ + -DCMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined \ + -DLLAMA_FATAL_WARNINGS=ON \ + -DGGML_NATIVE=OFF \ + -DGGML_CUDA=ON cmake --build build windows-2019-cmake-cuda: @@ -916,7 +916,11 @@ jobs: shell: cmd run: | call "C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\VC\Auxiliary\Build\vcvars64.bat" - cmake -S . -B build -G "Ninja Multi-Config" -DGGML_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DGGML_CUDA=ON -DGGML_RPC=ON + cmake -S . -B build -G "Ninja Multi-Config" \ + -DLLAMA_BUILD_SERVER=ON \ + -DGGML_NATIVE=OFF \ + -DGGML_CUDA=ON \ + -DGGML_RPC=ON set /A NINJA_JOBS=%NUMBER_OF_PROCESSORS%-1 cmake --build build --config Release -j %NINJA_JOBS% -t ggml cmake --build build --config Release @@ -1201,8 +1205,7 @@ jobs: runs-on: ubuntu-latest needs: - - ubuntu-latest-cmake - - macOS-latest-cmake + - ubuntu-cpu-cmake - windows-latest-cmake - windows-2019-cmake-cuda - windows-latest-cmake-hip-release diff --git a/CMakeLists.txt b/CMakeLists.txt index 42caed486..7e41a44d2 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -16,6 +16,7 @@ endif() list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake/") set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin) +set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin) if (CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR) set(LLAMA_STANDALONE ON) From 9fbadaef4f0903c64895ba9c70f02ac6e6a4b41c Mon Sep 17 00:00:00 2001 From: uvos Date: Fri, 24 Jan 2025 17:50:49 +0100 Subject: [PATCH 027/162] rocBLAS: Avoid fp32->fp16->fp32 conversion on cdna (#11356) --- ggml/src/ggml-cuda/ggml-cuda.cu | 62 ++++++++++++++++++++------------- ggml/src/ggml-cuda/mmvq.cu | 3 +- 2 files changed, 40 insertions(+), 25 deletions(-) diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index e602419bc..fb3d9e2d9 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -1082,7 +1082,9 @@ static void ggml_cuda_op_mul_mat_cublas( const int compute_capability = ggml_cuda_info().devices[id].cc; - if (compute_capability >= GGML_CUDA_CC_VOLTA && (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && ggml_is_contiguous(src0) && row_diff == src0->ne[1] && dst->op_params[0] == GGML_PREC_DEFAULT) { + const bool use_fp16 = (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && ggml_is_contiguous(src0) && row_diff == src0->ne[1] && dst->op_params[0] == GGML_PREC_DEFAULT; + + if (compute_capability >= GGML_CUDA_CC_VOLTA && use_fp16) { // convert src0 and src1 to fp16, multiply as fp16, convert dst to fp32 ggml_cuda_pool_alloc src0_as_f16(ctx.pool(id)); if (src0->type != GGML_TYPE_F16) { @@ -1103,28 +1105,38 @@ static void ggml_cuda_op_mul_mat_cublas( to_fp16_cuda(src1_ddf_i, src1_as_f16.get(), ne, stream); } const half * src1_ptr = src1->type == GGML_TYPE_F16 ? (const half *) src1_ddf_i : src1_as_f16.get(); - ggml_cuda_pool_alloc dst_f16(ctx.pool(id), row_diff*src1_ncols); - - const half alpha_f16 = 1.0f; - const half beta_f16 = 0.0f; - - cublasComputeType_t cu_compute_type = CUBLAS_COMPUTE_16F; - if (ggml_cuda_info().devices[ctx.device].cc == GGML_CUDA_CC_CDNA) { - cu_compute_type = CUBLAS_COMPUTE_32F; - } CUBLAS_CHECK(cublasSetStream(ctx.cublas_handle(id), stream)); - CUBLAS_CHECK( - cublasGemmEx(ctx.cublas_handle(id), CUBLAS_OP_T, CUBLAS_OP_N, - row_diff, src1_ncols, ne10, - &alpha_f16, src0_ptr, CUDA_R_16F, ne00, - src1_ptr, CUDA_R_16F, ne10, - &beta_f16, dst_f16.get(), CUDA_R_16F, ldc, - cu_compute_type, - CUBLAS_GEMM_DEFAULT_TENSOR_OP)); - const to_fp32_cuda_t to_fp32_cuda = ggml_get_to_fp32_cuda(GGML_TYPE_F16); - to_fp32_cuda(dst_f16.get(), dst_dd_i, row_diff*src1_ncols, stream); + if (compute_capability == GGML_CUDA_CC_CDNA) { + const float alpha = 1.0f; + const float beta = 0.0f; + CUBLAS_CHECK( + cublasGemmEx(ctx.cublas_handle(id), CUBLAS_OP_T, CUBLAS_OP_N, + row_diff, src1_ncols, ne10, + &alpha, src0_ptr, CUDA_R_16F, ne00, + src1_ptr, CUDA_R_16F, ne10, + &beta, dst_dd_i, CUDA_R_32F, ldc, + CUBLAS_COMPUTE_32F, + CUBLAS_GEMM_DEFAULT_TENSOR_OP)); + } else { + ggml_cuda_pool_alloc dst_f16(ctx.pool(id), row_diff*src1_ncols); + + const half alpha_f16 = 1.0f; + const half beta_f16 = 0.0f; + + CUBLAS_CHECK( + cublasGemmEx(ctx.cublas_handle(id), CUBLAS_OP_T, CUBLAS_OP_N, + row_diff, src1_ncols, ne10, + &alpha_f16, src0_ptr, CUDA_R_16F, ne00, + src1_ptr, CUDA_R_16F, ne10, + &beta_f16, dst_dd_i, CUDA_R_16F, ldc, + CUBLAS_COMPUTE_16F, + CUBLAS_GEMM_DEFAULT_TENSOR_OP)); + + const to_fp32_cuda_t to_fp32_cuda = ggml_get_to_fp32_cuda(GGML_TYPE_F16); + to_fp32_cuda(dst_f16.get(), dst_dd_i, row_diff*src1_ncols, stream); + } } else { ggml_cuda_pool_alloc src0_ddq_as_f32(ctx.pool(id)); ggml_cuda_pool_alloc src1_ddq_as_f32(ctx.pool(id)); @@ -1613,10 +1625,6 @@ static void ggml_cuda_mul_mat_batched_cublas(ggml_backend_cuda_context & ctx, co cublasComputeType_t cu_compute_type = CUBLAS_COMPUTE_16F; cudaDataType_t cu_data_type = CUDA_R_16F; - if (ggml_cuda_info().devices[ctx.device].cc == GGML_CUDA_CC_CDNA) { - cu_compute_type = CUBLAS_COMPUTE_32F; - } - // dst strides size_t nbd2 = dst->nb[2]; size_t nbd3 = dst->nb[3]; @@ -1645,6 +1653,12 @@ static void ggml_cuda_mul_mat_batched_cublas(ggml_backend_cuda_context & ctx, co beta = &beta_f32; } + if (ggml_cuda_info().devices[ctx.device].cc == GGML_CUDA_CC_CDNA) { + cu_compute_type = CUBLAS_COMPUTE_32F; + alpha = &alpha_f32; + beta = &beta_f32; + } + GGML_ASSERT(ne12 % ne02 == 0); GGML_ASSERT(ne13 % ne03 == 0); diff --git a/ggml/src/ggml-cuda/mmvq.cu b/ggml/src/ggml-cuda/mmvq.cu index e3b912d87..4fb466ca0 100644 --- a/ggml/src/ggml-cuda/mmvq.cu +++ b/ggml/src/ggml-cuda/mmvq.cu @@ -142,7 +142,7 @@ static void mul_mat_vec_q_cuda( int64_t nwarps = 1; int64_t rows_per_cuda_block = 1; - if (ggml_cuda_info().devices[id].cc < GGML_CUDA_CC_CDNA || ggml_cuda_info().devices[id].cc == GGML_CUDA_CC_RDNA1) { // NVIDIA and AMD older than RDNA2 but not CDNA + if (ggml_cuda_info().devices[id].cc < GGML_CUDA_CC_RDNA2) { // NVIDIA and AMD older than RDNA2 switch(ncols_y) { case 1: nwarps = 4; @@ -166,6 +166,7 @@ static void mul_mat_vec_q_cuda( break; } } + const int64_t nblocks = (nrows_x + rows_per_cuda_block - 1) / rows_per_cuda_block; const dim3 block_nums(nblocks, 1, 1); const dim3 block_dims(WARP_SIZE, nwarps, 1); From c5d9effb49649db80a52caf5c0626de6f342f526 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= Date: Fri, 24 Jan 2025 21:02:43 +0100 Subject: [PATCH 028/162] CUDA: fix FP16 cuBLAS GEMM (#11396) --- ggml/src/ggml-cuda/ggml-cuda.cu | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index fb3d9e2d9..fbe889a01 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -1114,8 +1114,8 @@ static void ggml_cuda_op_mul_mat_cublas( CUBLAS_CHECK( cublasGemmEx(ctx.cublas_handle(id), CUBLAS_OP_T, CUBLAS_OP_N, row_diff, src1_ncols, ne10, - &alpha, src0_ptr, CUDA_R_16F, ne00, - src1_ptr, CUDA_R_16F, ne10, + &alpha, src0_ptr, CUDA_R_16F, ne00, + src1_ptr, CUDA_R_16F, ne10, &beta, dst_dd_i, CUDA_R_32F, ldc, CUBLAS_COMPUTE_32F, CUBLAS_GEMM_DEFAULT_TENSOR_OP)); @@ -1128,9 +1128,9 @@ static void ggml_cuda_op_mul_mat_cublas( CUBLAS_CHECK( cublasGemmEx(ctx.cublas_handle(id), CUBLAS_OP_T, CUBLAS_OP_N, row_diff, src1_ncols, ne10, - &alpha_f16, src0_ptr, CUDA_R_16F, ne00, - src1_ptr, CUDA_R_16F, ne10, - &beta_f16, dst_dd_i, CUDA_R_16F, ldc, + &alpha_f16, src0_ptr, CUDA_R_16F, ne00, + src1_ptr, CUDA_R_16F, ne10, + &beta_f16, dst_f16.get(), CUDA_R_16F, ldc, CUBLAS_COMPUTE_16F, CUBLAS_GEMM_DEFAULT_TENSOR_OP)); From 5f0db9522f347b095f84c3033d6c1c1895402e25 Mon Sep 17 00:00:00 2001 From: uvos Date: Sat, 25 Jan 2025 00:02:23 +0100 Subject: [PATCH 029/162] hip : Add hipGraph and VMM support to ROCM (#11362) * Add hipGraph support * Enable VMM on rocm --- ggml/CMakeLists.txt | 1 + ggml/src/ggml-cuda/common.cuh | 2 +- ggml/src/ggml-cuda/ggml-cuda.cu | 58 +++++++++++++++++++++----------- ggml/src/ggml-cuda/vendors/hip.h | 43 +++++++++++++++++++++++ ggml/src/ggml-hip/CMakeLists.txt | 8 +++++ 5 files changed, 92 insertions(+), 20 deletions(-) diff --git a/ggml/CMakeLists.txt b/ggml/CMakeLists.txt index ff68ddc21..123c755ac 100644 --- a/ggml/CMakeLists.txt +++ b/ggml/CMakeLists.txt @@ -154,6 +154,7 @@ option(GGML_CUDA_FA_ALL_QUANTS "ggml: compile all quants for FlashA option(GGML_CUDA_GRAPHS "ggml: use CUDA graphs (llama.cpp only)" ${GGML_CUDA_GRAPHS_DEFAULT}) option(GGML_HIP "ggml: use HIP" OFF) +option(GGML_HIP_GRAPHS "ggml: use HIP graph, experimental, slow" OFF) option(GGML_HIP_UMA "ggml: use HIP unified memory architecture" OFF) option(GGML_VULKAN "ggml: use Vulkan" OFF) option(GGML_VULKAN_CHECK_RESULTS "ggml: run Vulkan op checks" OFF) diff --git a/ggml/src/ggml-cuda/common.cuh b/ggml/src/ggml-cuda/common.cuh index 2c0a56226..a79fa83c5 100644 --- a/ggml/src/ggml-cuda/common.cuh +++ b/ggml/src/ggml-cuda/common.cuh @@ -588,7 +588,7 @@ struct ggml_tensor_extra_gpu { }; -#if (CUDART_VERSION >= 12000) && defined(GGML_CUDA_USE_GRAPHS) +#if ((CUDART_VERSION >= 12000) && defined(GGML_CUDA_USE_GRAPHS)) || defined(GGML_HIP_GRAPHS) #define USE_CUDA_GRAPH #endif diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index fbe889a01..a53a1bbd0 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -62,7 +62,7 @@ static_assert(sizeof(half) == sizeof(ggml_fp16_t), "wrong fp16 size"); [[noreturn]] void ggml_cuda_error(const char * stmt, const char * func, const char * file, int line, const char * msg) { int id = -1; // in case cudaGetDevice fails - cudaGetDevice(&id); + (void)cudaGetDevice(&id); GGML_LOG_ERROR(GGML_CUDA_NAME " error: %s\n", msg); GGML_LOG_ERROR(" current device: %d, in function %s at %s:%d\n", id, func, file, line); @@ -152,7 +152,7 @@ static ggml_cuda_device_info ggml_cuda_init() { for (int id = 0; id < info.device_count; ++id) { int device_vmm = 0; -#if !defined(GGML_USE_HIP) && !defined(GGML_CUDA_NO_VMM) +#if !defined(GGML_CUDA_NO_VMM) CUdevice device; CU_CHECK(cuDeviceGet(&device, id)); CU_CHECK(cuDeviceGetAttribute(&device_vmm, CU_DEVICE_ATTRIBUTE_VIRTUAL_MEMORY_MANAGEMENT_SUPPORTED, device)); @@ -164,7 +164,7 @@ static ggml_cuda_device_info ggml_cuda_init() { alloc_prop.location.id = id; CU_CHECK(cuMemGetAllocationGranularity(&info.devices[id].vmm_granularity, &alloc_prop, CU_MEM_ALLOC_GRANULARITY_RECOMMENDED)); } -#endif // !defined(GGML_USE_HIP) && !defined(GGML_CUDA_NO_VMM) +#endif // !defined(GGML_CUDA_NO_VMM) info.devices[id].vmm = !!device_vmm; cudaDeviceProp prop; @@ -300,7 +300,7 @@ struct ggml_cuda_pool_leg : public ggml_cuda_pool { }; // pool with virtual memory -#if !defined(GGML_USE_HIP) && !defined(GGML_CUDA_NO_VMM) +#if !defined(GGML_CUDA_NO_VMM) struct ggml_cuda_pool_vmm : public ggml_cuda_pool { static const size_t CUDA_POOL_VMM_MAX_SIZE = 1ull << 35; // 32 GB @@ -309,6 +309,9 @@ struct ggml_cuda_pool_vmm : public ggml_cuda_pool { size_t pool_used = 0; size_t pool_size = 0; size_t granularity; +#if defined(GGML_USE_HIP) + std::vector> mappings; +#endif explicit ggml_cuda_pool_vmm(int device) : device(device), @@ -317,7 +320,14 @@ struct ggml_cuda_pool_vmm : public ggml_cuda_pool { ~ggml_cuda_pool_vmm() { if (pool_addr != 0) { +#if defined(GGML_USE_HIP) + // Workaround for https://github.com/ROCm/ROCR-Runtime/issues/285 + for (std::pair & mapping : mappings) { + CU_CHECK(cuMemUnmap(mapping.first, mapping.second)); + } +#else CU_CHECK(cuMemUnmap(pool_addr, pool_size)); +#endif CU_CHECK(cuMemAddressFree(pool_addr, CUDA_POOL_VMM_MAX_SIZE)); } } @@ -350,7 +360,11 @@ struct ggml_cuda_pool_vmm : public ggml_cuda_pool { } // map at the end of the pool - CU_CHECK(cuMemMap(pool_addr + pool_size, reserve_size, 0, handle, 0)); + CUdeviceptr start_ptr = (CUdeviceptr)((char *)(pool_addr) + pool_size); + CU_CHECK(cuMemMap(start_ptr, reserve_size, 0, handle, 0)); +#if defined(GGML_USE_HIP) + mappings.push_back({start_ptr, reserve_size}); +#endif // the memory allocation handle is no longer needed after mapping CU_CHECK(cuMemRelease(handle)); @@ -360,7 +374,7 @@ struct ggml_cuda_pool_vmm : public ggml_cuda_pool { access.location.type = CU_MEM_LOCATION_TYPE_DEVICE; access.location.id = device; access.flags = CU_MEM_ACCESS_FLAGS_PROT_READWRITE; - CU_CHECK(cuMemSetAccess(pool_addr + pool_size, reserve_size, &access, 1)); + CU_CHECK(cuMemSetAccess((CUdeviceptr)((char *)(pool_addr) + pool_size), reserve_size, &access, 1)); // add to the pool pool_size += reserve_size; @@ -372,7 +386,7 @@ struct ggml_cuda_pool_vmm : public ggml_cuda_pool { GGML_ASSERT(pool_addr != 0); - void * ptr = (void *) (pool_addr + pool_used); + void * ptr = (void *) ((CUdeviceptr)((char *)(pool_addr) + pool_used)); *actual_size = size; pool_used += size; @@ -391,17 +405,17 @@ struct ggml_cuda_pool_vmm : public ggml_cuda_pool { pool_used -= size; // all deallocations must be in reverse order of the allocations - GGML_ASSERT(ptr == (void *) (pool_addr + pool_used)); + GGML_ASSERT(ptr == (void *) ((char *)(pool_addr) + pool_used)); } }; -#endif // !defined(GGML_USE_HIP) && !defined(GGML_CUDA_NO_VMM) +#endif // !defined(GGML_CUDA_NO_VMM) std::unique_ptr ggml_backend_cuda_context::new_pool_for_device(int device) { -#if !defined(GGML_USE_HIP) && !defined(GGML_CUDA_NO_VMM) +#if !defined(GGML_CUDA_NO_VMM) if (ggml_cuda_info().devices[device].vmm) { return std::unique_ptr(new ggml_cuda_pool_vmm(device)); } -#endif // !defined(GGML_USE_HIP) && !defined(GGML_CUDA_NO_VMM) +#endif // !defined(GGML_CUDA_NO_VMM) return std::unique_ptr(new ggml_cuda_pool_leg(device)); } @@ -547,7 +561,7 @@ static ggml_backend_buffer_t ggml_backend_cuda_buffer_type_alloc_buffer(ggml_bac cudaError_t err = ggml_cuda_device_malloc(&dev_ptr, size, buft_ctx->device); if (err != cudaSuccess) { // clear the error - cudaGetLastError(); + (void)cudaGetLastError(); GGML_LOG_ERROR("%s: allocating %.2f MiB on device %d: cudaMalloc failed: %s\n", __func__, size / 1024.0 / 1024.0, buft_ctx->device, cudaGetErrorString(err)); return nullptr; } @@ -962,7 +976,7 @@ static void * ggml_cuda_host_malloc(size_t size) { cudaError_t err = cudaMallocHost((void **) &ptr, size); if (err != cudaSuccess) { // clear the error - cudaGetLastError(); + (void)cudaGetLastError(); GGML_LOG_DEBUG("%s: failed to allocate %.2f MiB of pinned memory: %s\n", __func__, size / 1024.0 / 1024.0, cudaGetErrorString(err)); return nullptr; @@ -1209,7 +1223,7 @@ static void ggml_cuda_set_peer_access(const int n_tokens, int main_device) { CUDA_CHECK(err); } else { // reset the error - cudaGetLastError(); + (void)cudaGetLastError(); } } else { cudaError_t err = cudaDeviceDisablePeerAccess(id_other); @@ -1217,7 +1231,7 @@ static void ggml_cuda_set_peer_access(const int n_tokens, int main_device) { CUDA_CHECK(err); } else { // reset the error - cudaGetLastError(); + (void)cudaGetLastError(); } } } @@ -2452,7 +2466,7 @@ static void maintain_cuda_graph(ggml_backend_cuda_context * cuda_ctx, std::vecto if (stat == cudaErrorInvalidDeviceFunction) { // Fails due to incorrect handling by CUDA runtime of CUDA BLAS node. // We don't need to update blas nodes, so clear error and move on. - cudaGetLastError(); + (void)cudaGetLastError(); } else { GGML_ASSERT(stat == cudaSuccess); } @@ -2507,14 +2521,20 @@ static bool is_cuda_graph_update_required(ggml_backend_cuda_context * cuda_ctx, static void update_cuda_graph_executable(ggml_backend_cuda_context * cuda_ctx) { cudaGraphExecUpdateResultInfo result_info; +#ifdef __HIP_PLATFORM_AMD__ + hipGraphNode_t errorNode; + hipError_t stat = hipGraphExecUpdate(cuda_ctx->cuda_graph->instance, cuda_ctx->cuda_graph->graph, &errorNode, &result_info); +#else cudaError_t stat = cudaGraphExecUpdate(cuda_ctx->cuda_graph->instance, cuda_ctx->cuda_graph->graph, &result_info); +#endif if (stat == cudaErrorGraphExecUpdateFailure) { #ifndef NDEBUG GGML_LOG_DEBUG("%s: CUDA graph update failed\n", __func__); #endif + // The pre-existing graph exec cannot be updated due to violated constraints // so instead clear error and re-instantiate - cudaGetLastError(); + (void)cudaGetLastError(); CUDA_CHECK(cudaGraphExecDestroy(cuda_ctx->cuda_graph->instance)); cuda_ctx->cuda_graph->instance = nullptr; CUDA_CHECK(cudaGraphInstantiate(&cuda_ctx->cuda_graph->instance, cuda_ctx->cuda_graph->graph, NULL, NULL, 0)); @@ -2742,7 +2762,7 @@ bool ggml_backend_cuda_register_host_buffer(void * buffer, size_t size) { cudaError_t err = cudaHostRegister(buffer, size, cudaHostRegisterPortable | cudaHostRegisterReadOnly); if (err != cudaSuccess) { // clear the error - cudaGetLastError(); + (void)cudaGetLastError(); GGML_LOG_DEBUG("%s: failed to register %.2f MiB of pinned memory: %s\n", __func__, size / 1024.0 / 1024.0, cudaGetErrorString(err)); @@ -2762,7 +2782,7 @@ void ggml_backend_cuda_unregister_host_buffer(void * buffer) { cudaError_t err = cudaHostUnregister(buffer); if (err != cudaSuccess) { // clear the error - cudaGetLastError(); + (void)cudaGetLastError(); } } diff --git a/ggml/src/ggml-cuda/vendors/hip.h b/ggml/src/ggml-cuda/vendors/hip.h index c905b15d7..8594093f0 100644 --- a/ggml/src/ggml-cuda/vendors/hip.h +++ b/ggml/src/ggml-cuda/vendors/hip.h @@ -19,6 +19,12 @@ #define CUBLAS_TF32_TENSOR_OP_MATH 0 #define CUDA_R_16F HIPBLAS_R_16F #define CUDA_R_32F HIPBLAS_R_32F +#define CU_DEVICE_ATTRIBUTE_VIRTUAL_MEMORY_MANAGEMENT_SUPPORTED hipDeviceAttributeVirtualMemoryManagementSupported +#define CU_MEM_ALLOC_GRANULARITY_RECOMMENDED hipMemAllocationGranularityRecommended +#define CU_MEM_ALLOCATION_TYPE_PINNED hipMemAllocationTypePinned +#define CU_MEM_LOCATION_TYPE_DEVICE hipMemLocationTypeDevice +#define CU_MEM_ACCESS_FLAGS_PROT_READWRITE hipMemAccessFlagsProtReadWrite +#define CU_CHECK(fn) {hipError_t err = fn; if(err != hipSuccess) { GGML_ABORT("HipVMM Failure: %s\n", hipGetErrorString(err)); }} #define __shfl_xor_sync(mask, var, laneMask, width) __shfl_xor(var, laneMask, width) #define cublasComputeType_t hipblasDatatype_t //deprecated, new hipblasComputeType_t not in 5.6 #define cublasCreate hipblasCreate @@ -74,6 +80,21 @@ #define cudaMemGetInfo hipMemGetInfo #define cudaOccupancyMaxPotentialBlockSize hipOccupancyMaxPotentialBlockSize #define cudaSetDevice hipSetDevice +#define cuDeviceGet hipDeviceGet +#define CUdevice hipDevice_t +#define CUdeviceptr hipDeviceptr_t +#define cuMemUnmap hipMemUnmap +#define CUmemAccessDesc hipMemAccessDesc +#define cuMemAddressFree hipMemAddressFree +#define cuMemRelease hipMemRelease +#define CUmemGenericAllocationHandle hipMemGenericAllocationHandle_t +#define cuMemCreate hipMemCreate +#define cuMemAddressReserve hipMemAddressReserve +#define cuMemMap hipMemMap +#define cuMemSetAccess hipMemSetAccess +#define cuMemGetAllocationGranularity hipMemGetAllocationGranularity +#define CUmemAllocationProp hipMemAllocationProp +#define cuDeviceGetAttribute hipDeviceGetAttribute #define cudaStreamCreateWithFlags hipStreamCreateWithFlags #define cudaStreamDestroy hipStreamDestroy #define cudaStreamFireAndForget hipStreamFireAndForget @@ -81,6 +102,28 @@ #define cudaStreamPerThread hipStreamPerThread #define cudaStreamSynchronize hipStreamSynchronize #define cudaStreamWaitEvent(stream, event, flags) hipStreamWaitEvent(stream, event, flags) +#define cudaGraphExec_t hipGraphExec_t +#define cudaGraphNode_t hipGraphNode_t +#define cudaKernelNodeParams hipKernelNodeParams +#define cudaKernelNodeParams hipKernelNodeParams +#define cudaGraphExecDestroy hipGraphExecDestroy +#define cudaGraphLaunch hipGraphLaunch +#define cudaErrorGraphExecUpdateFailure hipErrorGraphExecUpdateFailure +#define cudaGraphExecUpdateResultInfo hipGraphExecUpdateResult +#define cudaGraphNodeType hipGraphNodeType +#define cudaGraphNodeTypeKernel hipGraphNodeTypeKernel +#define cudaGraphInstantiate hipGraphInstantiate +#define cudaStreamEndCapture hipStreamEndCapture +#define cudaGraphDestroy hipGraphDestroy +#define cudaGraphKernelNodeSetParams hipGraphKernelNodeSetParams +#define cudaErrorInvalidDeviceFunction hipErrorInvalidDeviceFunction +#define cudaGraphKernelNodeGetParams hipGraphKernelNodeGetParams +#define cudaGraphNodeGetType hipGraphNodeGetType +#define cudaGraphGetNodes hipGraphGetNodes +#define cudaGraphExecUpdate hipGraphExecUpdate +#define cudaStreamCaptureModeRelaxed hipStreamCaptureModeRelaxed +#define cudaStreamBeginCapture hipStreamBeginCapture +#define cudaGraph_t hipGraph_t #define cudaStream_t hipStream_t #define cudaSuccess hipSuccess #define __trap() do { abort(); __builtin_unreachable(); } while(0) diff --git a/ggml/src/ggml-hip/CMakeLists.txt b/ggml/src/ggml-hip/CMakeLists.txt index d090ba9bd..77994a698 100644 --- a/ggml/src/ggml-hip/CMakeLists.txt +++ b/ggml/src/ggml-hip/CMakeLists.txt @@ -92,6 +92,14 @@ if (GGML_CUDA_NO_PEER_COPY) add_compile_definitions(GGML_CUDA_NO_PEER_COPY) endif() +if (GGML_HIP_GRAPHS) + add_compile_definitions(GGML_HIP_GRAPHS) +endif() + +if (GGML_CUDA_NO_VMM) + add_compile_definitions(GGML_CUDA_NO_VMM) +endif() + if (CXX_IS_HIPCC) set_source_files_properties(${GGML_SOURCES_ROCM} PROPERTIES LANGUAGE CXX) target_link_libraries(ggml-hip PRIVATE hip::device) From 466ea66f338d63109540dae1df97ccfdbf4cd08f Mon Sep 17 00:00:00 2001 From: jiahao su Date: Sat, 25 Jan 2025 07:26:01 +0800 Subject: [PATCH 030/162] CANN: Add Ascend CANN build ci (#10217) * CANN: Add Ascend CANN build ci * Update build.yml * Modify cann image version * Update build.yml * Change to run on x86 system * Update build.yml * Update build.yml * Modify format error * Update build.yml * Add 'Ascend NPU' label restrictions * Exclude non PR event Co-authored-by: Yuanhao Ji * Update build.yml --------- Co-authored-by: Yuanhao Ji --- .github/workflows/build.yml | 34 ++++++++++++++++++++++++++++++++++ 1 file changed, 34 insertions(+) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index fda726955..7d08574f5 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -1464,3 +1464,37 @@ jobs: # popd # emcmake cmake . -DCMAKE_BUILD_TYPE=${{ matrix.build }} # make + + openEuler-latest-cmake-cann: + if: ${{ github.event_name != 'pull_request' || contains(github.event.pull_request.labels.*.name, 'Ascend NPU') }} + defaults: + run: + shell: bash -el {0} + runs-on: ubuntu-24.04-arm + strategy: + matrix: + cann: + - '8.0.rc3.beta1-910b-openeuler22.03-py3.10' + device: + - 'ascend910b3' + build: + - 'Release' + container: ascendai/cann:${{ matrix.cann }} + steps: + - name: Checkout + uses: actions/checkout@v4 + + - name: Dependencies + run: | + yum update -y + yum install -y git gcc gcc-c++ make cmake + + - name: Build + run: | + export LD_LIBRARY_PATH=${ASCEND_TOOLKIT_HOME}/lib64:${ASCEND_TOOLKIT_HOME}/$(uname -m)-linux/devlib/:${LD_LIBRARY_PATH} + + cmake -S . -B build \ + -DCMAKE_BUILD_TYPE=${{ matrix.build }} \ + -DGGML_CANN=on \ + -DSOC_TYPE=${{ matrix.device }} + cmake --build build -j $(nproc) From 00c24acb2ac49d9f8318e808b6ada2f5649f253f Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sat, 25 Jan 2025 13:36:48 +0200 Subject: [PATCH 031/162] ci : fix line breaks on windows builds (#11409) * ci : fix line breaks on windows builds * cont : another try * ci : fix powershell line breaks --- .github/workflows/build.yml | 23 +++++++++++++++++------ 1 file changed, 17 insertions(+), 6 deletions(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 7d08574f5..37cb6b1e7 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -916,10 +916,10 @@ jobs: shell: cmd run: | call "C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\VC\Auxiliary\Build\vcvars64.bat" - cmake -S . -B build -G "Ninja Multi-Config" \ - -DLLAMA_BUILD_SERVER=ON \ - -DGGML_NATIVE=OFF \ - -DGGML_CUDA=ON \ + cmake -S . -B build -G "Ninja Multi-Config" ^ + -DLLAMA_BUILD_SERVER=ON ^ + -DGGML_NATIVE=OFF ^ + -DGGML_CUDA=ON ^ -DGGML_RPC=ON set /A NINJA_JOBS=%NUMBER_OF_PROCESSORS%-1 cmake --build build --config Release -j %NINJA_JOBS% -t ggml @@ -1073,7 +1073,12 @@ jobs: run: | $env:HIP_PATH=$(Resolve-Path 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' | split-path | split-path) $env:CMAKE_PREFIX_PATH="${env:HIP_PATH}" - cmake -G "Unix Makefiles" -B build -S . -DCMAKE_C_COMPILER="${env:HIP_PATH}\bin\clang.exe" -DCMAKE_CXX_COMPILER="${env:HIP_PATH}\bin\clang++.exe" -DGGML_HIP=ON -DCMAKE_BUILD_TYPE=Release -DGGML_RPC=ON + cmake -G "Unix Makefiles" -B build -S . ` + -DCMAKE_C_COMPILER="${env:HIP_PATH}\bin\clang.exe" ` + -DCMAKE_CXX_COMPILER="${env:HIP_PATH}\bin\clang++.exe" ` + -DCMAKE_BUILD_TYPE=Release ` + -DGGML_HIP=ON ` + -DGGML_RPC=ON cmake --build build -j ${env:NUMBER_OF_PROCESSORS} windows-latest-cmake-hip-release: @@ -1111,7 +1116,13 @@ jobs: run: | $env:HIP_PATH=$(Resolve-Path 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' | split-path | split-path) $env:CMAKE_PREFIX_PATH="${env:HIP_PATH}" - cmake -G "Unix Makefiles" -B build -S . -DCMAKE_C_COMPILER="${env:HIP_PATH}\bin\clang.exe" -DCMAKE_CXX_COMPILER="${env:HIP_PATH}\bin\clang++.exe" -DGGML_HIP=ON -DCMAKE_BUILD_TYPE=Release -DAMDGPU_TARGETS=${{ matrix.gpu_target }} -DGGML_RPC=ON + cmake -G "Unix Makefiles" -B build -S . ` + -DCMAKE_C_COMPILER="${env:HIP_PATH}\bin\clang.exe" ` + -DCMAKE_CXX_COMPILER="${env:HIP_PATH}\bin\clang++.exe" ` + -DCMAKE_BUILD_TYPE=Release ` + -DAMDGPU_TARGETS=${{ matrix.gpu_target }} ` + -DGGML_HIP=ON ` + -DGGML_RPC=ON cmake --build build -j ${env:NUMBER_OF_PROCESSORS} md "build\bin\rocblas\library\" cp "${env:HIP_PATH}\bin\hipblas.dll" "build\bin\" From 20a758155bc5f37290b20ea44d76ba99c4e7f2cb Mon Sep 17 00:00:00 2001 From: Diego Devesa Date: Sat, 25 Jan 2025 15:22:29 +0100 Subject: [PATCH 032/162] docker : fix CPU ARM build (#11403) * docker : fix CPU ARM build * add CURL to other builds --- .devops/cpu.Dockerfile | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/.devops/cpu.Dockerfile b/.devops/cpu.Dockerfile index 8d020f16c..ab0e951bc 100644 --- a/.devops/cpu.Dockerfile +++ b/.devops/cpu.Dockerfile @@ -2,6 +2,8 @@ ARG UBUNTU_VERSION=22.04 FROM ubuntu:$UBUNTU_VERSION AS build +ARG TARGETARCH + RUN apt-get update && \ apt-get install -y build-essential git cmake libcurl4-openssl-dev @@ -9,7 +11,11 @@ WORKDIR /app COPY . . -RUN cmake -S . -B build -DGGML_BACKEND_DL=ON -DGGML_NATIVE=OFF -DGGML_CPU_ALL_VARIANTS=ON -DLLAMA_CURL=ON -DCMAKE_BUILD_TYPE=Release && \ +RUN if [ "$TARGETARCH" = "amd64" ]; then \ + cmake -S . -B build -DCMAKE_BUILD_TYPE=Release -DLLAMA_CURL=ON -DGGML_BACKEND_DL=ON -DGGML_NATIVE=OFF -DGGML_CPU_ALL_VARIANTS=ON; \ + else \ + cmake -S . -B build -DCMAKE_BUILD_TYPE=Release -DLLAMA_CURL=ON; \ + fi && \ cmake --build build -j $(nproc) RUN mkdir -p /app/lib && \ From 49b0e3cec4b67dc9f4debe3a16acd4c819f751d6 Mon Sep 17 00:00:00 2001 From: Xuan Son Nguyen Date: Sat, 25 Jan 2025 16:36:44 +0100 Subject: [PATCH 033/162] server : fix cleaning up stream task (#11418) * server : fix cleaning up stream task * one more spot --- examples/server/server.cpp | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/examples/server/server.cpp b/examples/server/server.cpp index a94c3822c..b1cde2d7f 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -1427,16 +1427,16 @@ struct server_queue { int post(server_task task, bool front = false) { std::unique_lock lock(mutex_tasks); GGML_ASSERT(task.id != -1); + // if this is cancel task make sure to clean up pending tasks + if (task.type == SERVER_TASK_TYPE_CANCEL) { + cleanup_pending_task(task.id_target); + } QUE_DBG("new task, id = %d, front = %d\n", task.id, front); if (front) { queue_tasks.push_front(std::move(task)); } else { queue_tasks.push_back(std::move(task)); } - // if this is cancel task make sure to clean up pending tasks - if (task.type == SERVER_TASK_TYPE_CANCEL) { - cleanup_pending_task(task.id_target); - } condition_tasks.notify_one(); return task.id; } @@ -1448,16 +1448,16 @@ struct server_queue { if (task.id == -1) { task.id = id++; } + // if this is cancel task make sure to clean up pending tasks + if (task.type == SERVER_TASK_TYPE_CANCEL) { + cleanup_pending_task(task.id_target); + } QUE_DBG("new task, id = %d/%d, front = %d\n", task.id, (int) tasks.size(), front); if (front) { queue_tasks.push_front(std::move(task)); } else { queue_tasks.push_back(std::move(task)); } - // if this is cancel task make sure to clean up pending tasks - if (task.type == SERVER_TASK_TYPE_CANCEL) { - cleanup_pending_task(task.id_target); - } } condition_tasks.notify_one(); return 0; @@ -1554,10 +1554,10 @@ struct server_queue { } private: - void cleanup_pending_task(int id_task) { + void cleanup_pending_task(int id_target) { // no need lock because this is called exclusively by post() - auto rm_func = [id_task](const server_task & task) { - return task.id_target == id_task; + auto rm_func = [id_target](const server_task & task) { + return task.id_target == id_target; }; queue_tasks.erase( std::remove_if(queue_tasks.begin(), queue_tasks.end(), rm_func), From 6e264a905bec9e4c0111eb4c91379c88accef7c6 Mon Sep 17 00:00:00 2001 From: Diego Devesa Date: Sat, 25 Jan 2025 17:22:41 +0100 Subject: [PATCH 034/162] docker : add GGML_CPU_ARM_ARCH arg to select ARM architecture to build for (#11419) --- .devops/cpu.Dockerfile | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/.devops/cpu.Dockerfile b/.devops/cpu.Dockerfile index ab0e951bc..522ee8147 100644 --- a/.devops/cpu.Dockerfile +++ b/.devops/cpu.Dockerfile @@ -4,6 +4,8 @@ FROM ubuntu:$UBUNTU_VERSION AS build ARG TARGETARCH +ARG GGML_CPU_ARM_ARCH=armv8-a + RUN apt-get update && \ apt-get install -y build-essential git cmake libcurl4-openssl-dev @@ -12,9 +14,12 @@ WORKDIR /app COPY . . RUN if [ "$TARGETARCH" = "amd64" ]; then \ - cmake -S . -B build -DCMAKE_BUILD_TYPE=Release -DLLAMA_CURL=ON -DGGML_BACKEND_DL=ON -DGGML_NATIVE=OFF -DGGML_CPU_ALL_VARIANTS=ON; \ + cmake -S . -B build -DCMAKE_BUILD_TYPE=Release -DLLAMA_CURL=ON -DGGML_NATIVE=OFF -DGGML_BACKEND_DL=ON -DGGML_CPU_ALL_VARIANTS=ON; \ + elif [ "$TARGETARCH" = "arm64" ]; then \ + cmake -S . -B build -DCMAKE_BUILD_TYPE=Release -DLLAMA_CURL=ON -DGGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=${GGML_CPU_ARM_ARCH}; \ else \ - cmake -S . -B build -DCMAKE_BUILD_TYPE=Release -DLLAMA_CURL=ON; \ + echo "Unsupported architecture"; \ + exit 1; \ fi && \ cmake --build build -j $(nproc) From ca6baf76c1a7adb9134b08d2bc4c65557297ff87 Mon Sep 17 00:00:00 2001 From: Jeff Bolz Date: Sat, 25 Jan 2025 11:26:37 -0600 Subject: [PATCH 035/162] build: add /bigobj to MSVC build (#11407) --- CMakeLists.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/CMakeLists.txt b/CMakeLists.txt index 7e41a44d2..e7f520582 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -50,6 +50,7 @@ endif() if (MSVC) add_compile_options("$<$:/utf-8>") add_compile_options("$<$:/utf-8>") + add_compile_options(/bigobj) endif() # From 26771a1491f3a4c3d5b99c4c267b81aca9a7dfa0 Mon Sep 17 00:00:00 2001 From: uvos Date: Sat, 25 Jan 2025 21:01:12 +0100 Subject: [PATCH 036/162] Hip: disable VMM on hip as it seams that it dosent work in some configurations (#11420) --- ggml/CMakeLists.txt | 1 + ggml/src/ggml-cuda/common.cuh | 4 ++++ ggml/src/ggml-cuda/ggml-cuda.cu | 14 +++++++------- ggml/src/ggml-hip/CMakeLists.txt | 4 ++-- 4 files changed, 14 insertions(+), 9 deletions(-) diff --git a/ggml/CMakeLists.txt b/ggml/CMakeLists.txt index 123c755ac..bbabb14de 100644 --- a/ggml/CMakeLists.txt +++ b/ggml/CMakeLists.txt @@ -155,6 +155,7 @@ option(GGML_CUDA_GRAPHS "ggml: use CUDA graphs (llama.cpp on option(GGML_HIP "ggml: use HIP" OFF) option(GGML_HIP_GRAPHS "ggml: use HIP graph, experimental, slow" OFF) +option(GGML_HIP_NO_VMM "ggml: do not try to use HIP VMM" ON) option(GGML_HIP_UMA "ggml: use HIP unified memory architecture" OFF) option(GGML_VULKAN "ggml: use Vulkan" OFF) option(GGML_VULKAN_CHECK_RESULTS "ggml: run Vulkan op checks" OFF) diff --git a/ggml/src/ggml-cuda/common.cuh b/ggml/src/ggml-cuda/common.cuh index a79fa83c5..bb6120568 100644 --- a/ggml/src/ggml-cuda/common.cuh +++ b/ggml/src/ggml-cuda/common.cuh @@ -131,6 +131,10 @@ typedef float dfloat; // dequantize float typedef float2 dfloat2; #endif // GGML_CUDA_F16 +#if (!defined(GGML_USE_HIP) && !defined(GGML_CUDA_NO_VMM)) || (defined(GGML_USE_HIP) && !defined(GGML_HIP_NO_VMM)) +#define GGML_USE_VMM +#endif // (!defined(GGML_USE_HIP) && !defined(GGML_CUDA_NO_VMM)) || (defined(GGML_USE_HIP) && !defined(GGML_HIP_NO_VMM)) + #if (defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) || __CUDA_ARCH__ >= GGML_CUDA_CC_PASCAL #define FP16_AVAILABLE #endif // (defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) || __CUDA_ARCH__ >= GGML_CUDA_CC_PASCAL diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index a53a1bbd0..85178abd2 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -152,7 +152,7 @@ static ggml_cuda_device_info ggml_cuda_init() { for (int id = 0; id < info.device_count; ++id) { int device_vmm = 0; -#if !defined(GGML_CUDA_NO_VMM) +#if defined(GGML_USE_VMM) CUdevice device; CU_CHECK(cuDeviceGet(&device, id)); CU_CHECK(cuDeviceGetAttribute(&device_vmm, CU_DEVICE_ATTRIBUTE_VIRTUAL_MEMORY_MANAGEMENT_SUPPORTED, device)); @@ -164,7 +164,7 @@ static ggml_cuda_device_info ggml_cuda_init() { alloc_prop.location.id = id; CU_CHECK(cuMemGetAllocationGranularity(&info.devices[id].vmm_granularity, &alloc_prop, CU_MEM_ALLOC_GRANULARITY_RECOMMENDED)); } -#endif // !defined(GGML_CUDA_NO_VMM) +#endif // defined(GGML_USE_VMM) info.devices[id].vmm = !!device_vmm; cudaDeviceProp prop; @@ -300,7 +300,7 @@ struct ggml_cuda_pool_leg : public ggml_cuda_pool { }; // pool with virtual memory -#if !defined(GGML_CUDA_NO_VMM) +#if defined(GGML_USE_VMM) struct ggml_cuda_pool_vmm : public ggml_cuda_pool { static const size_t CUDA_POOL_VMM_MAX_SIZE = 1ull << 35; // 32 GB @@ -408,14 +408,14 @@ struct ggml_cuda_pool_vmm : public ggml_cuda_pool { GGML_ASSERT(ptr == (void *) ((char *)(pool_addr) + pool_used)); } }; -#endif // !defined(GGML_CUDA_NO_VMM) +#endif // defined(GGML_USE_VMM) std::unique_ptr ggml_backend_cuda_context::new_pool_for_device(int device) { -#if !defined(GGML_CUDA_NO_VMM) +#if defined(GGML_USE_VMM) if (ggml_cuda_info().devices[device].vmm) { return std::unique_ptr(new ggml_cuda_pool_vmm(device)); } -#endif // !defined(GGML_CUDA_NO_VMM) +#endif // defined(GGML_USE_VMM) return std::unique_ptr(new ggml_cuda_pool_leg(device)); } @@ -3250,7 +3250,7 @@ static ggml_backend_feature * ggml_backend_cuda_get_features(ggml_backend_reg_t features.push_back({ "FORCE_CUBLAS", "1" }); #endif - #ifdef GGML_CUDA_NO_VMM + #ifndef GGML_USE_VMM features.push_back({ "NO_VMM", "1" }); #endif diff --git a/ggml/src/ggml-hip/CMakeLists.txt b/ggml/src/ggml-hip/CMakeLists.txt index 77994a698..ecc3bc66d 100644 --- a/ggml/src/ggml-hip/CMakeLists.txt +++ b/ggml/src/ggml-hip/CMakeLists.txt @@ -96,8 +96,8 @@ if (GGML_HIP_GRAPHS) add_compile_definitions(GGML_HIP_GRAPHS) endif() -if (GGML_CUDA_NO_VMM) - add_compile_definitions(GGML_CUDA_NO_VMM) +if (GGML_HIP_NO_VMM) + add_compile_definitions(GGML_HIP_NO_VMM) endif() if (CXX_IS_HIPCC) From 4a75d19376f2f00dbae6c266eb9c4f3001872b52 Mon Sep 17 00:00:00 2001 From: Jeff Bolz Date: Sat, 25 Jan 2025 15:29:57 -0600 Subject: [PATCH 037/162] vulkan: compile shaders on-demand (#11406) Reduce first-run startup time and memory consumption. Should fix #11339. --- ggml/src/ggml-vulkan/ggml-vulkan.cpp | 64 ++++++++++++++++++---------- 1 file changed, 41 insertions(+), 23 deletions(-) diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index c325416d1..a9d6b923c 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -85,6 +85,10 @@ struct vk_pipeline_struct { uint32_t parameter_count; std::array wg_denoms; uint32_t align; + // set to true to request the pipeline is compiled after the dryrun + bool needed {}; + // set to true when the shader has been compiled + bool compiled {}; }; typedef std::shared_ptr vk_pipeline; @@ -186,8 +190,11 @@ struct vk_device_struct { bool mul_mat_id_m; bool mul_mat_id_s; - vk_matmul_pipeline pipeline_matmul_f32; - vk_matmul_pipeline pipeline_matmul_f32_f16; + // set to true to indicate that some shaders need to be compiled after the dryrun + bool need_compiles {}; + + vk_matmul_pipeline pipeline_matmul_f32 {}; + vk_matmul_pipeline pipeline_matmul_f32_f16 {}; vk_matmul_pipeline2 pipeline_matmul_f16; vk_matmul_pipeline2 pipeline_matmul_f16_f32; vk_pipeline pipeline_matmul_split_k_reduce; @@ -195,7 +202,7 @@ struct vk_device_struct { vk_matmul_pipeline2 pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_COUNT]; vk_matmul_pipeline2 pipeline_dequant_mul_mat_mat[GGML_TYPE_COUNT]; - vk_matmul_pipeline pipeline_matmul_id_f32; + vk_matmul_pipeline pipeline_matmul_id_f32 {}; vk_matmul_pipeline2 pipeline_matmul_id_f16; vk_matmul_pipeline2 pipeline_matmul_id_f16_f32; @@ -776,13 +783,6 @@ static void ggml_vk_create_pipeline_func(vk_device& device, vk_pipeline& pipelin GGML_ASSERT(parameter_count > 0); GGML_ASSERT(wg_denoms[0] > 0 && wg_denoms[1] > 0 && wg_denoms[2] > 0); // NOLINT - pipeline = std::make_shared(); - pipeline->name = name; - pipeline->parameter_count = parameter_count; - pipeline->push_constant_size = push_constant_size; - pipeline->wg_denoms = wg_denoms; - pipeline->align = align; - vk::ShaderModuleCreateInfo shader_module_create_info({}, spv_size, reinterpret_cast(spv_data)); pipeline->shader_module = device->device.createShaderModule(shader_module_create_info); @@ -865,6 +865,7 @@ static void ggml_vk_create_pipeline_func(vk_device& device, vk_pipeline& pipelin } pipeline->pipeline = device->device.createComputePipeline(VK_NULL_HANDLE, compute_pipeline_create_info).value; + pipeline->compiled = true; { std::lock_guard guard(device->mutex); @@ -875,12 +876,6 @@ static void ggml_vk_create_pipeline_func(vk_device& device, vk_pipeline& pipelin std::lock_guard guard(compile_count_mutex); assert(compile_count > 0); compile_count--; - - // "Progress bar" for shader compiles - static uint32_t total_compile_count = 0; - if ((total_compile_count++ % 10) == 0) { - std::cerr << "."; - } } compile_count_cond.notify_all(); } @@ -906,6 +901,10 @@ static void ggml_vk_destroy_pipeline(vk::Device& device, vk_pipeline& pipeline) static void ggml_pipeline_request_descriptor_sets(vk_device& device, vk_pipeline& pipeline, uint32_t n) { VK_LOG_DEBUG("ggml_pipeline_request_descriptor_sets(" << pipeline->name << ", " << n << ")"); device->pipeline_descriptor_set_requirements[pipeline->name] += n; + if (!pipeline->compiled) { + pipeline->needed = true; + device->need_compiles = true; + } } static void ggml_pipeline_allocate_descriptor_sets(vk_device& device) { @@ -1388,8 +1387,6 @@ static bool ggml_vk_matmul_shmem_support(const vk_device& device, const std::vec static void ggml_vk_load_shaders(vk_device& device) { VK_LOG_DEBUG("ggml_vk_load_shaders(" << device->name << ")"); - std::cerr << "ggml_vulkan: Compiling shaders"; - // some shaders have a minimum subgroup size const uint32_t subgroup_size_16 = std::max(device->subgroup_size, 16u); const uint32_t subgroup_size_32 = std::max(device->subgroup_size, 32u); @@ -1527,15 +1524,33 @@ static void ggml_vk_load_shaders(vk_device& device) { } } - device->pipeline_matmul_f32 = std::make_shared(); - device->pipeline_matmul_f32_f16 = std::make_shared(); - - device->pipeline_matmul_id_f32 = std::make_shared(); + if (!device->pipeline_matmul_f32) { + device->pipeline_matmul_f32 = std::make_shared(); + } + if (!device->pipeline_matmul_f32_f16) { + device->pipeline_matmul_f32_f16 = std::make_shared(); + } + if (!device->pipeline_matmul_id_f32) { + device->pipeline_matmul_id_f32 = std::make_shared(); + } std::vector> compiles; auto const &ggml_vk_create_pipeline = [&](vk_device& device, vk_pipeline& pipeline, const std::string &name, size_t spv_size, const void* spv_data, const std::string &entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, const std::vector& specialization_constants, uint32_t align, bool disable_robustness = false, bool require_full_subgroups = false, uint32_t required_subgroup_size = 0) { + + if (!pipeline) { + pipeline = std::make_shared(); + pipeline->name = name; + pipeline->parameter_count = parameter_count; + pipeline->push_constant_size = push_constant_size; + pipeline->wg_denoms = wg_denoms; + pipeline->align = align; + } + + if (!pipeline->needed || pipeline->compiled) { + return; + } { // wait until fewer than N compiles are in progress uint32_t N = std::max(1u, std::thread::hardware_concurrency()); @@ -2050,7 +2065,7 @@ static void ggml_vk_load_shaders(vk_device& device) { for (auto &c : compiles) { c.wait(); } - std::cerr << "Done!" << std::endl; + device->need_compiles = false; } static bool ggml_vk_khr_cooperative_matrix_support(const vk::PhysicalDeviceProperties& props, const vk::PhysicalDeviceDriverProperties& driver_props); @@ -7656,6 +7671,9 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg for (int i = 0; i < cgraph->n_nodes; i++) { ggml_vk_build_graph(ctx, cgraph->nodes[i], i, nullptr, 0, true, false, false); } + if (ctx->device->need_compiles) { + ggml_vk_load_shaders(ctx->device); + } ggml_vk_preallocate_buffers(ctx); ggml_pipeline_allocate_descriptor_sets(ctx->device); From f35726c2fb0a824246e004ab4bedcde37f3f0dd0 Mon Sep 17 00:00:00 2001 From: Jeff Bolz Date: Sat, 25 Jan 2025 20:10:03 -0600 Subject: [PATCH 038/162] build: apply MSVC /bigobj option to c/cpp files only (#11423) --- CMakeLists.txt | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index e7f520582..2f2b1a201 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -50,7 +50,8 @@ endif() if (MSVC) add_compile_options("$<$:/utf-8>") add_compile_options("$<$:/utf-8>") - add_compile_options(/bigobj) + add_compile_options("$<$:/bigobj>") + add_compile_options("$<$:/bigobj>") endif() # From 2cc9b8c32c78d09cd1b4df0aaa605ab2d0176243 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sun, 26 Jan 2025 14:30:15 +0200 Subject: [PATCH 039/162] readme : update hot topics --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 97d028670..ff8536773 100644 --- a/README.md +++ b/README.md @@ -16,6 +16,7 @@ Inference of Meta's [LLaMA](https://arxiv.org/abs/2302.13971) model (and others) ## Hot topics +- **How to use [MTLResidencySet](https://developer.apple.com/documentation/metal/mtlresidencyset?language=objc) to keep the GPU memory active?** https://github.com/ggerganov/llama.cpp/pull/11427 - **VS Code extension for FIM completions:** https://github.com/ggml-org/llama.vscode - Vim/Neovim plugin for FIM completions: https://github.com/ggml-org/llama.vim - Introducing GGUF-my-LoRA https://github.com/ggerganov/llama.cpp/discussions/10123 From 1d8ee06000ecdd274e7f0a0465d6bf26ad2b3491 Mon Sep 17 00:00:00 2001 From: Frank Mai Date: Sun, 26 Jan 2025 23:20:34 +0800 Subject: [PATCH 040/162] rpc: fix register position (#11424) Signed-off-by: thxCode --- src/llama-model.cpp | 2 ++ src/llama.cpp | 12 +++++++++++- 2 files changed, 13 insertions(+), 1 deletion(-) diff --git a/src/llama-model.cpp b/src/llama-model.cpp index 031b4c30b..18bd0b071 100644 --- a/src/llama-model.cpp +++ b/src/llama-model.cpp @@ -1303,10 +1303,12 @@ bool llama_model::load_tensors(llama_model_loader & ml) { const int act_gpu_layers = devices.empty() ? 0 : std::min(n_gpu_layers, (int)n_layer + 1); auto get_layer_buft_list = [&](int il) -> llama_model::impl::layer_dev { if (il < i_gpu_start || (il - i_gpu_start) >= act_gpu_layers) { + LLAMA_LOG_DEBUG("load_tensors: layer %3d assigned to device %s\n", il, ggml_backend_dev_name(cpu_dev)); return {cpu_dev, &pimpl->cpu_buft_list}; } const int layer_gpu = std::upper_bound(splits.begin(), splits.begin() + n_devices(), float(il - i_gpu_start)/act_gpu_layers) - splits.begin(); auto * dev = devices.at(layer_gpu); + LLAMA_LOG_DEBUG("load_tensors: layer %3d assigned to device %s\n", il, ggml_backend_dev_name(dev)); return {dev, &pimpl->gpu_buft_list.at(dev)}; }; diff --git a/src/llama.cpp b/src/llama.cpp index e8cfe5012..094157ccf 100644 --- a/src/llama.cpp +++ b/src/llama.cpp @@ -9405,6 +9405,7 @@ static struct llama_model * llama_model_load_from_file_impl( model->devices.push_back(*dev); } } else { + std::vector rpc_servers; // use all available devices for (size_t i = 0; i < ggml_backend_dev_count(); ++i) { ggml_backend_dev_t dev = ggml_backend_dev_get(i); @@ -9415,10 +9416,19 @@ static struct llama_model * llama_model_load_from_file_impl( break; case GGML_BACKEND_DEVICE_TYPE_GPU: - model->devices.push_back(dev); + ggml_backend_reg_t reg = ggml_backend_dev_backend_reg(dev); + if (ggml_backend_reg_name(reg) == std::string("RPC")) { + rpc_servers.push_back(dev); + } else { + model->devices.push_back(dev); + } break; } } + // add RPC servers at the front of the list + if (!rpc_servers.empty()) { + model->devices.insert(model->devices.begin(), rpc_servers.begin(), rpc_servers.end()); + } } // if using single GPU mode, remove all except the main GPU From 19f65187cbf009801288861133267ee5573ceead Mon Sep 17 00:00:00 2001 From: bandoti <141645996+bandoti@users.noreply.github.com> Date: Sun, 26 Jan 2025 12:07:48 -0400 Subject: [PATCH 041/162] cmake: add ggml find package (#11369) * Add initial ggml cmake package * Add build numbers to ggml find-package * Expand variables with GGML_ prefix * Guard against adding to cache variable twice * Add git to msys2 workflow * Handle ggml-cpu-* variants * Link ggml/ggml-base libraries to their targets * Replace main-cmake-pkg with simple-cmake-pkg * Interface features require c_std_90 * Fix typo * Removed unnecessary bracket from status message * Update examples/simple-cmake-pkg/README.md Co-authored-by: Georgi Gerganov * Update examples/simple-cmake-pkg/README.md Co-authored-by: Georgi Gerganov --------- Co-authored-by: Georgi Gerganov --- .github/workflows/build.yml | 1 + CMakeLists.txt | 23 +-- cmake/llama-config.cmake.in | 156 +----------------- examples/main-cmake-pkg/CMakeLists.txt | 32 ---- examples/main-cmake-pkg/README.md | 31 ---- .../.gitignore | 0 examples/simple-cmake-pkg/CMakeLists.txt | 11 ++ examples/simple-cmake-pkg/README.md | 34 ++++ ggml/CMakeLists.txt | 71 ++++++++ ggml/cmake/ggml-config.cmake.in | 147 +++++++++++++++++ ggml/src/CMakeLists.txt | 11 ++ 11 files changed, 284 insertions(+), 233 deletions(-) delete mode 100644 examples/main-cmake-pkg/CMakeLists.txt delete mode 100644 examples/main-cmake-pkg/README.md rename examples/{main-cmake-pkg => simple-cmake-pkg}/.gitignore (100%) create mode 100644 examples/simple-cmake-pkg/CMakeLists.txt create mode 100644 examples/simple-cmake-pkg/README.md create mode 100644 ggml/cmake/ggml-config.cmake.in diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 37cb6b1e7..cd8422f8a 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -613,6 +613,7 @@ jobs: msystem: ${{matrix.sys}} install: >- base-devel + git mingw-w64-${{matrix.env}}-toolchain mingw-w64-${{matrix.env}}-cmake mingw-w64-${{matrix.env}}-openblas diff --git a/CMakeLists.txt b/CMakeLists.txt index 2f2b1a201..4c62d1788 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -188,27 +188,14 @@ set(LLAMA_INCLUDE_INSTALL_DIR ${CMAKE_INSTALL_INCLUDEDIR} CACHE PATH "Location o set(LLAMA_LIB_INSTALL_DIR ${CMAKE_INSTALL_LIBDIR} CACHE PATH "Location of library files") set(LLAMA_BIN_INSTALL_DIR ${CMAKE_INSTALL_BINDIR} CACHE PATH "Location of binary files") -# At the moment some compile definitions are placed within the ggml/src -# directory but not exported on the `ggml` target. This could be improved by -# determining _precisely_ which defines are necessary for the llama-config -# package. -# -set(GGML_TRANSIENT_DEFINES) -get_target_property(GGML_DIRECTORY ggml SOURCE_DIR) -get_directory_property(GGML_DIR_DEFINES DIRECTORY ${GGML_DIRECTORY} COMPILE_DEFINITIONS) -if (GGML_DIR_DEFINES) - list(APPEND GGML_TRANSIENT_DEFINES ${GGML_DIR_DEFINES}) -endif() -get_target_property(GGML_TARGET_DEFINES ggml COMPILE_DEFINITIONS) -if (GGML_TARGET_DEFINES) - list(APPEND GGML_TRANSIENT_DEFINES ${GGML_TARGET_DEFINES}) -endif() -get_target_property(GGML_LINK_LIBRARIES ggml LINK_LIBRARIES) -# all public headers set(LLAMA_PUBLIC_HEADERS ${CMAKE_CURRENT_SOURCE_DIR}/include/llama.h ${CMAKE_CURRENT_SOURCE_DIR}/include/llama-cpp.h) -set_target_properties(llama PROPERTIES PUBLIC_HEADER "${LLAMA_PUBLIC_HEADERS}") + +set_target_properties(llama + PROPERTIES + PUBLIC_HEADER "${LLAMA_PUBLIC_HEADERS}") + install(TARGETS llama LIBRARY PUBLIC_HEADER) configure_package_config_file( diff --git a/cmake/llama-config.cmake.in b/cmake/llama-config.cmake.in index 5c55bc6b8..40ade96e5 100644 --- a/cmake/llama-config.cmake.in +++ b/cmake/llama-config.cmake.in @@ -3,159 +3,13 @@ set(LLAMA_BUILD_COMMIT @LLAMA_BUILD_COMMIT@) set(LLAMA_BUILD_NUMBER @LLAMA_BUILD_NUMBER@) set(LLAMA_SHARED_LIB @BUILD_SHARED_LIBS@) -set(GGML_STATIC @GGML_STATIC@) -set(GGML_NATIVE @GGML_NATIVE@) -set(GGML_LTO @GGML_LTO@) -set(GGML_CCACHE @GGML_CCACHE@) -set(GGML_AVX @GGML_AVX@) -set(GGML_AVX2 @GGML_AVX2@) -set(GGML_AVX512 @GGML_AVX512@) -set(GGML_AVX512_VBMI @GGML_AVX512_VBMI@) -set(GGML_AVX512_VNNI @GGML_AVX512_VNNI@) -set(GGML_AVX512_BF16 @GGML_AVX512_BF16@) -set(GGML_AMX_TILE @GGML_AMX_TILE@) -set(GGML_AMX_INT8 @GGML_AMX_INT8@) -set(GGML_AMX_BF16 @GGML_AMX_BF16@) -set(GGML_FMA @GGML_FMA@) -set(GGML_LASX @GGML_LASX@) -set(GGML_LSX @GGML_LSX@) -set(GGML_RVV @GGML_RVV@) -set(GGML_SVE @GGML_SVE@) - -set(GGML_ACCELERATE @GGML_ACCELERATE@) -set(GGML_OPENMP @GGML_OPENMP@) -set(GGML_CPU_HBM @GGML_CPU_HBM@) -set(GGML_BLAS_VENDOR @GGML_BLAS_VENDOR@) - -set(GGML_CUDA_FORCE_MMQ @GGML_CUDA_FORCE_MMQ@) -set(GGML_CUDA_FORCE_CUBLAS @GGML_CUDA_FORCE_CUBLAS@) -set(GGML_CUDA_F16 @GGML_CUDA_F16@) -set(GGML_CUDA_PEER_MAX_BATCH_SIZE @GGML_CUDA_PEER_MAX_BATCH_SIZE@) -set(GGML_CUDA_NO_PEER_COPY @GGML_CUDA_NO_PEER_COPY@) -set(GGML_CUDA_NO_VMM @GGML_CUDA_NO_VMM@) -set(GGML_CUDA_FA_ALL_QUANTS @GGML_CUDA_FA_ALL_QUANTS@) -set(GGML_CUDA_GRAPHS @GGML_CUDA_GRAPHS@) - -set(GGML_HIP_UMA @GGML_HIP_UMA@) - -set(GGML_VULKAN_CHECK_RESULTS @GGML_VULKAN_CHECK_RESULTS@) -set(GGML_VULKAN_DEBUG @GGML_VULKAN_DEBUG@) -set(GGML_VULKAN_MEMORY_DEBUG @GGML_VULKAN_MEMORY_DEBUG@) -set(GGML_VULKAN_SHADER_DEBUG_INFO @GGML_VULKAN_SHADER_DEBUG_INFO@) -set(GGML_VULKAN_PERF @GGML_VULKAN_PERF@) -set(GGML_VULKAN_VALIDATE @GGML_VULKAN_VALIDATE@) -set(GGML_VULKAN_RUN_TESTS @GGML_VULKAN_RUN_TESTS@) - -set(GGML_METAL_USE_BF16 @GGML_METAL_USE_BF16@) -set(GGML_METAL_NDEBUG @GGML_METAL_NDEBUG@) -set(GGML_METAL_SHADER_DEBUG @GGML_METAL_SHADER_DEBUG@) -set(GGML_METAL_EMBED_LIBRARY @GGML_METAL_EMBED_LIBRARY@) -set(GGML_METAL_MACOSX_VERSION_MIN @GGML_METAL_MACOSX_VERSION_MIN@) -set(GGML_METAL_STD @GGML_METAL_STD@) - -set(GGML_SYCL_F16 @GGML_SYCL_F16@) -set(GGML_SYCL_TARGET @GGML_SYCL_TARGET@) -set(GGML_SYCL_DEVICE_ARCH @GGML_SYCL_DEVICE_ARCH@) - - @PACKAGE_INIT@ set_and_check(LLAMA_INCLUDE_DIR "@PACKAGE_LLAMA_INCLUDE_INSTALL_DIR@") set_and_check(LLAMA_LIB_DIR "@PACKAGE_LLAMA_LIB_INSTALL_DIR@") set_and_check(LLAMA_BIN_DIR "@PACKAGE_LLAMA_BIN_INSTALL_DIR@") -find_package(Threads REQUIRED) - -set(_llama_transient_defines "@GGML_TRANSIENT_DEFINES@") -set(_llama_link_deps "") -set(_llama_link_opts "") -foreach(_ggml_lib ggml ggml-base) - string(REPLACE "-" "_" _ggml_lib_var "${_ggml_lib}_LIBRARY") - find_library(${_ggml_lib_var} ${_ggml_lib} - REQUIRED - HINTS ${LLAMA_LIB_DIR} - NO_CMAKE_FIND_ROOT_PATH - ) - list(APPEND _llama_link_deps "${${_ggml_lib_var}}") - message(STATUS "Found ${${_ggml_lib_var}}") -endforeach() - -foreach(backend amx blas cann cpu cuda hip kompute metal musa rpc sycl vulkan) - string(TOUPPER "GGML_${backend}" backend_id) - set(_ggml_lib "ggml-${backend}") - string(REPLACE "-" "_" _ggml_lib_var "${_ggml_lib}_LIBRARY") - - find_library(${_ggml_lib_var} ${_ggml_lib} - HINTS ${LLAMA_LIB_DIR} - NO_CMAKE_FIND_ROOT_PATH - ) - if(${_ggml_lib_var}) - list(APPEND _llama_link_deps "${${_ggml_lib_var}}") - set(${backend_id} ON) - message(STATUS "Found backend ${${_ggml_lib_var}}") - else() - set(${backend_id} OFF) - endif() -endforeach() - -if (NOT LLAMA_SHARED_LIB) - if (APPLE AND GGML_ACCELERATE) - find_library(ACCELERATE_FRAMEWORK Accelerate REQUIRED) - list(APPEND _llama_link_deps ${ACCELERATE_FRAMEWORK}) - endif() - - if (GGML_OPENMP) - find_package(OpenMP REQUIRED) - list(APPEND _llama_link_deps OpenMP::OpenMP_C OpenMP::OpenMP_CXX) - endif() - - if (GGML_CPU_HBM) - find_library(memkind memkind REQUIRED) - list(APPEND _llama_link_deps memkind) - endif() - - if (GGML_BLAS) - find_package(BLAS REQUIRED) - list(APPEND _llama_link_deps ${BLAS_LIBRARIES}) - list(APPEND _llama_link_opts ${BLAS_LINKER_FLAGS}) - endif() - - if (GGML_CUDA) - find_package(CUDAToolkit REQUIRED) - endif() - - if (GGML_METAL) - find_library(FOUNDATION_LIBRARY Foundation REQUIRED) - find_library(METAL_FRAMEWORK Metal REQUIRED) - find_library(METALKIT_FRAMEWORK MetalKit REQUIRED) - list(APPEND _llama_link_deps ${FOUNDATION_LIBRARY} - ${METAL_FRAMEWORK} ${METALKIT_FRAMEWORK}) - endif() - - if (GGML_VULKAN) - find_package(Vulkan REQUIRED) - list(APPEND _llama_link_deps Vulkan::Vulkan) - endif() - - if (GGML_HIP) - find_package(hip REQUIRED) - find_package(hipblas REQUIRED) - find_package(rocblas REQUIRED) - list(APPEND _llama_link_deps hip::host roc::rocblas roc::hipblas) - endif() - - if (GGML_SYCL) - find_package(DNNL) - if (${DNNL_FOUND} AND GGML_SYCL_TARGET STREQUAL "INTEL") - list(APPEND _llama_link_deps DNNL::dnnl) - endif() - if (WIN32) - find_package(IntelSYCL REQUIRED) - find_package(MKL REQUIRED) - list(APPEND _llama_link_deps IntelSYCL::SYCL_CXX MKL::MKL MKL::MKL_SYCL) - endif() - endif() -endif() +find_package(ggml REQUIRED) find_library(llama_LIBRARY llama REQUIRED @@ -167,12 +21,10 @@ add_library(llama UNKNOWN IMPORTED) set_target_properties(llama PROPERTIES INTERFACE_INCLUDE_DIRECTORIES "${LLAMA_INCLUDE_DIR}" - INTERFACE_LINK_LIBRARIES "${_llama_link_deps}" - INTERFACE_LINK_OPTIONS "${_llama_link_opts}" - INTERFACE_COMPILE_DEFINITIONS "${_llama_transient_defines}" + INTERFACE_LINK_LIBRARIES "ggml::ggml;ggml::ggml-base;" IMPORTED_LINK_INTERFACE_LANGUAGES "CXX" IMPORTED_LOCATION "${llama_LIBRARY}" - INTERFACE_COMPILE_FEATURES cxx_std_11 - POSITION_INDEPENDENT_CODE ON ) + INTERFACE_COMPILE_FEATURES c_std_90 + POSITION_INDEPENDENT_CODE ON) check_required_components(Llama) diff --git a/examples/main-cmake-pkg/CMakeLists.txt b/examples/main-cmake-pkg/CMakeLists.txt deleted file mode 100644 index 5563f4de0..000000000 --- a/examples/main-cmake-pkg/CMakeLists.txt +++ /dev/null @@ -1,32 +0,0 @@ -cmake_minimum_required(VERSION 3.12) -project("llama-cli-cmake-pkg" C CXX) -set(TARGET llama-cli-cmake-pkg) - -find_package(Llama 0.0.1 REQUIRED) - -# Bake common functionality in with target. Because applications -# using the relocatable Llama package should be outside of the -# source tree, llama-cli-cmake-pkg pretends the dependencies are built-in. -set(_common_path "${CMAKE_CURRENT_LIST_DIR}/../../common") -add_library(common OBJECT) -file(GLOB _common_files - "${_common_path}/*.h" - "${_common_path}/*.cpp" -) -target_sources(common PRIVATE ${_common_files}) - -# If the common project was part of "llama-cli-cmake-pkg" the transient -# defines would automatically be attached. Because the common func- -# tionality is separate, but dependent upon the defines, it must be -# explicitly extracted from the "llama" target. -# -get_target_property(_llama_transient_defines llama - INTERFACE_COMPILE_DEFINITIONS) - -target_compile_definitions(common PRIVATE "${_llama_transient_defines}") - -add_executable(${TARGET} ${CMAKE_CURRENT_LIST_DIR}/../main/main.cpp) -target_include_directories(${TARGET} PRIVATE ${_common_path}) -install(TARGETS ${TARGET} RUNTIME) -target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT}) -target_compile_features(${TARGET} PRIVATE cxx_std_17) diff --git a/examples/main-cmake-pkg/README.md b/examples/main-cmake-pkg/README.md deleted file mode 100644 index 08d83dd08..000000000 --- a/examples/main-cmake-pkg/README.md +++ /dev/null @@ -1,31 +0,0 @@ -# llama.cpp/example/main-cmake-pkg - -This program builds [llama-cli](../main) using a relocatable CMake package. It serves as an example of using the `find_package()` CMake command to conveniently include [llama.cpp](https://github.com/ggerganov/llama.cpp) in projects which live outside of the source tree. - -## Building - -Because this example is "outside of the source tree", it is important to first build/install llama.cpp using CMake. An example is provided here, but please see the [llama.cpp build instructions](../..) for more detailed build instructions. - -### Considerations - -When hardware acceleration libraries are used (e.g. CUDA, Metal, etc.), CMake must be able to locate the associated CMake package. - -### Build llama.cpp and install to C:\LlamaCPP directory - -```cmd -git clone https://github.com/ggerganov/llama.cpp -cd llama.cpp -cmake -B build -DBUILD_SHARED_LIBS=OFF -G "Visual Studio 17 2022" -A x64 -cmake --build build --config Release -cmake --install build --prefix C:/LlamaCPP -``` - -### Build llama-cli-cmake-pkg - - -```cmd -cd ..\examples\main-cmake-pkg -cmake -B build -DBUILD_SHARED_LIBS=OFF -DCMAKE_PREFIX_PATH="C:/LlamaCPP/lib/cmake/Llama" -G "Visual Studio 17 2022" -A x64 -cmake --build build --config Release -cmake --install build --prefix C:/MyLlamaApp -``` diff --git a/examples/main-cmake-pkg/.gitignore b/examples/simple-cmake-pkg/.gitignore similarity index 100% rename from examples/main-cmake-pkg/.gitignore rename to examples/simple-cmake-pkg/.gitignore diff --git a/examples/simple-cmake-pkg/CMakeLists.txt b/examples/simple-cmake-pkg/CMakeLists.txt new file mode 100644 index 000000000..128e38c8f --- /dev/null +++ b/examples/simple-cmake-pkg/CMakeLists.txt @@ -0,0 +1,11 @@ +cmake_minimum_required(VERSION 3.12) +project(llama-simple-cmake-pkg) + +set(TARGET llama-simple-cmake-pkg) + +find_package(Llama REQUIRED) + +add_executable(${TARGET} ${CMAKE_CURRENT_LIST_DIR}/../simple/simple.cpp) +install(TARGETS ${TARGET} RUNTIME) +target_link_libraries(${TARGET} PRIVATE llama ggml::all ${CMAKE_THREAD_LIBS_INIT}) +target_compile_features(${TARGET} PRIVATE cxx_std_17) diff --git a/examples/simple-cmake-pkg/README.md b/examples/simple-cmake-pkg/README.md new file mode 100644 index 000000000..8b30049e2 --- /dev/null +++ b/examples/simple-cmake-pkg/README.md @@ -0,0 +1,34 @@ +# llama.cpp/example/simple-cmake-pkg + +This program builds [simple](../simple) using a relocatable CMake package. It serves as an example of using the `find_package()` CMake command to conveniently include [llama.cpp](https://github.com/ggerganov/llama.cpp) in projects which live outside of the source tree. + +## Building + +Because this example is "outside of the source tree", it is important to first build/install llama.cpp using CMake. An example is provided here, but please see the [llama.cpp build instructions](../..) for more detailed build instructions. + +### Considerations + +When hardware acceleration libraries are used (e.g. CUDA, Metal, Vulkan, etc.), the appropriate dependencies will be searched for automatically. So, for example, when finding a package + +### Build llama.cpp and install to llama.cpp/inst + +```sh +git clone https://github.com/ggerganov/llama.cpp +cd llama.cpp +cmake -S . -B build +cmake --build build +cmake --install build --prefix inst + +### Build simple-cmake-pkg + +```sh +cd examples/simple-cmake-pkg +cmake -S . -B build -DCMAKE_PREFIX_PATH=../../inst/lib/cmake +cmake --build build +``` + +### Run simple-cmake-pkg + +```sh +./build/llama-simple-cmake-pkg -m ./models/llama-7b-v2/ggml-model-f16.gguf "Hello my name is" +``` diff --git a/ggml/CMakeLists.txt b/ggml/CMakeLists.txt index bbabb14de..7c069e420 100644 --- a/ggml/CMakeLists.txt +++ b/ggml/CMakeLists.txt @@ -267,3 +267,74 @@ if (GGML_STANDALONE) install(FILES ${CMAKE_CURRENT_BINARY_DIR}/ggml.pc DESTINATION share/pkgconfig) endif() + +# +# Create CMake package +# + +# Generate version info based on git commit. + +find_program(GIT_EXE NAMES git git.exe REQUIRED NO_CMAKE_FIND_ROOT_PATH) +execute_process(COMMAND ${GIT_EXE} rev-list --count HEAD + WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR} + OUTPUT_VARIABLE GGML_BUILD_NUMBER + OUTPUT_STRIP_TRAILING_WHITESPACE +) + +if(GGML_BUILD_NUMBER EQUAL 1) + message(WARNING "GGML build version fixed at 1 likely due to a shallow clone.") +endif() + +execute_process(COMMAND ${GIT_EXE} rev-parse --short HEAD + WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR} + OUTPUT_VARIABLE GGML_BUILD_COMMIT + OUTPUT_STRIP_TRAILING_WHITESPACE +) + +# Capture variables prefixed with GGML_. + +set(variable_set_statements +" +####### Expanded from @GGML_VARIABLES_EXPANED@ by configure_package_config_file() ####### +####### Any changes to this file will be overwritten by the next CMake run ####### + +") + +set(GGML_SHARED_LIB ${BUILD_SHARED_LIBS}) + +get_cmake_property(all_variables VARIABLES) +foreach(variable_name IN LISTS all_variables) + if(variable_name MATCHES "^GGML_") + string(REPLACE ";" "\\;" + variable_value "${${variable_name}}") + + set(variable_set_statements + "${variable_set_statements}set(${variable_name} \"${variable_value}\")\n") + endif() +endforeach() + +set(GGML_VARIABLES_EXPANDED ${variable_set_statements}) + +# Create the CMake package and set install location. + +set(GGML_INSTALL_VERSION 0.0.${GGML_BUILD_NUMBER}) +set(GGML_INCLUDE_INSTALL_DIR ${CMAKE_INSTALL_INCLUDEDIR} CACHE PATH "Location of header files") +set(GGML_LIB_INSTALL_DIR ${CMAKE_INSTALL_LIBDIR} CACHE PATH "Location of library files") +set(GGML_BIN_INSTALL_DIR ${CMAKE_INSTALL_BINDIR} CACHE PATH "Location of binary files") + +configure_package_config_file( + ${CMAKE_CURRENT_SOURCE_DIR}/cmake/ggml-config.cmake.in + ${CMAKE_CURRENT_BINARY_DIR}/ggml-config.cmake + INSTALL_DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/ggml + PATH_VARS GGML_INCLUDE_INSTALL_DIR + GGML_LIB_INSTALL_DIR + GGML_BIN_INSTALL_DIR) + +write_basic_package_version_file( + ${CMAKE_CURRENT_BINARY_DIR}/ggml-version.cmake + VERSION ${GGML_INSTALL_VERSION} + COMPATIBILITY SameMajorVersion) + +install(FILES ${CMAKE_CURRENT_BINARY_DIR}/ggml-config.cmake + ${CMAKE_CURRENT_BINARY_DIR}/ggml-version.cmake + DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/ggml) diff --git a/ggml/cmake/ggml-config.cmake.in b/ggml/cmake/ggml-config.cmake.in new file mode 100644 index 000000000..bf39f9c00 --- /dev/null +++ b/ggml/cmake/ggml-config.cmake.in @@ -0,0 +1,147 @@ + +@GGML_VARIABLES_EXPANDED@ + +@PACKAGE_INIT@ + +set_and_check(GGML_INCLUDE_DIR "@PACKAGE_GGML_INCLUDE_INSTALL_DIR@") +set_and_check(GGML_LIB_DIR "@PACKAGE_GGML_LIB_INSTALL_DIR@") +set_and_check(GGML_BIN_DIR "@PACKAGE_GGML_BIN_INSTALL_DIR@") + +find_package(Threads REQUIRED) + +find_library(GGML_LIBRARY ggml + REQUIRED + HINTS ${GGML_LIB_DIR} + NO_CMAKE_FIND_ROOT_PATH) + +add_library(ggml::ggml UNKNOWN IMPORTED) +set_target_properties(ggml::ggml + PROPERTIES + IMPORTED_LOCATION "${GGML_LIBRARY}") + +find_library(GGML_BASE_LIBRARY ggml-base + REQUIRED + HINTS ${GGML_LIB_DIR} + NO_CMAKE_FIND_ROOT_PATH) + +add_library(ggml::ggml-base UNKNOWN IMPORTED) +set_target_properties(ggml::ggml-base + PROPERTIES + IMPORTED_LOCATION "${GGML_BASE_LIBRARY}") + +if (NOT GGML_SHARED_LIB) + if (APPLE AND GGML_ACCELERATE) + find_library(ACCELERATE_FRAMEWORK Accelerate REQUIRED) + list(APPEND GGML_CPU_INTERFACE_LINK_LIBRARIES ${ACCELERATE_FRAMEWORK}) + endif() + + if (GGML_OPENMP) + find_package(OpenMP REQUIRED) + list(APPEND GGML_CPU_INTERFACE_LINK_LIBRARIES OpenMP::OpenMP_C OpenMP::OpenMP_CXX) + endif() + + if (GGML_CPU_HBM) + find_library(memkind memkind REQUIRED) + list(APPEND GGML_CPU_INTERFACE_LINK_LIBRARIES memkind) + endif() + + if (GGML_BLAS) + find_package(BLAS REQUIRED) + list(APPEND GGML_CPU_INTERFACE_LINK_LIBRARIES ${BLAS_LIBRARIES}) + list(APPEND GGML_CPU_INTERFACE_LINK_OPTIONS ${BLAS_LINKER_FLAGS}) + endif() + + if (GGML_CUDA) + find_package(CUDAToolkit REQUIRED) + endif() + + if (GGML_METAL) + find_library(FOUNDATION_LIBRARY Foundation REQUIRED) + find_library(METAL_FRAMEWORK Metal REQUIRED) + find_library(METALKIT_FRAMEWORK MetalKit REQUIRED) + + list(APPEND GGML_METAL_INTERFACE_LINK_LIBRARIES + ${FOUNDATION_LIBRARY} ${METAL_FRAMEWORK} ${METALKIT_FRAMEWORK}) + endif() + + if (GGML_VULKAN) + find_package(Vulkan REQUIRED) + list(APPEND GGML_VULKAN_INTERFACE_LINK_LIBRARIES Vulkan::Vulkan) + endif() + + if (GGML_HIP) + find_package(hip REQUIRED) + find_package(hipblas REQUIRED) + find_package(rocblas REQUIRED) + list(APPEND GGML_HIP_INTERFACE_LINK_LIBRARIES hip::host roc::rocblas roc::hipblas) + endif() + + if (GGML_SYCL) + find_package(DNNL) + if (${DNNL_FOUND} AND GGML_SYCL_TARGET STREQUAL "INTEL") + list(APPEND GGML_SYCL_INTERFACE_LINK_LIBRARIES DNNL::dnnl) + endif() + if (WIN32) + find_package(IntelSYCL REQUIRED) + find_package(MKL REQUIRED) + list(APPEND GGML_SYCL_INTERFACE_LINK_LIBRARIES IntelSYCL::SYCL_CXX MKL::MKL MKL::MKL_SYCL) + endif() + endif() +endif() + +set(_ggml_all_targets "") +foreach(_ggml_backend ${GGML_AVAILABLE_BACKENDS}) + string(REPLACE "-" "_" _ggml_backend_pfx "${_ggml_backend}") + string(TOUPPER "${_ggml_backend_pfx}" _ggml_backend_pfx) + + find_library(${_ggml_backend_pfx}_LIBRARY ${_ggml_backend} + REQUIRED + HINTS ${GGML_LIB_DIR} + NO_CMAKE_FIND_ROOT_PATH) + + message(STATUS "Found ${${_ggml_backend_pfx}_LIBRARY}") + + add_library(ggml::${_ggml_backend} UNKNOWN IMPORTED) + set_target_properties(ggml::${_ggml_backend} + PROPERTIES + INTERFACE_INCLUDE_DIRECTORIES "${GGML_INCLUDE_DIR}" + IMPORTED_LINK_INTERFACE_LANGUAGES "CXX" + IMPORTED_LOCATION "${${_ggml_backend_pfx}_LIBRARY}" + INTERFACE_COMPILE_FEATURES c_std_90 + POSITION_INDEPENDENT_CODE ON) + + string(REGEX MATCH "^ggml-cpu" is_cpu_variant "${_ggml_backend}") + if(is_cpu_variant) + list(APPEND GGML_CPU_INTERFACE_LINK_LIBRARIES "ggml::ggml" "ggml::ggml-base") + set_target_properties(ggml::${_ggml_backend} + PROPERTIES + INTERFACE_LINK_LIBRARIES "${GGML_CPU_INTERFACE_LINK_LIBRARIES}") + + if(GGML_CPU_INTERFACE_LINK_OPTIONS) + set_target_properties(ggml::${_ggml_backend} + PROPERTIES + INTERFACE_LINK_OPTIONS "${GGML_CPU_INTERFACE_LINK_OPTIONS}") + endif() + + else() + list(APPEND ${_ggml_backend_pfx}_INTERFACE_LINK_LIBRARIES "ggml::ggml" "ggml::ggml-base") + set_target_properties(ggml::${_ggml_backend} + PROPERTIES + INTERFACE_LINK_LIBRARIES "${${_ggml_backend_pfx}_INTERFACE_LINK_LIBRARIES}") + + if(${_ggml_backend_pfx}_INTERFACE_LINK_OPTIONS) + set_target_properties(ggml::${_ggml_backend} + PROPERTIES + INTERFACE_LINK_OPTIONS "${${_ggml_backend_pfx}_INTERFACE_LINK_OPTIONS}") + endif() + endif() + + list(APPEND _ggml_all_targets ggml::${_ggml_backend}) +endforeach() + +add_library(ggml::all INTERFACE IMPORTED) +set_target_properties(ggml::all + PROPERTIES + INTERFACE_LINK_LIBRARIES "${_ggml_all_targets}") + +check_required_components(ggml) diff --git a/ggml/src/CMakeLists.txt b/ggml/src/CMakeLists.txt index ae1cd2337..8d2b948fb 100644 --- a/ggml/src/CMakeLists.txt +++ b/ggml/src/CMakeLists.txt @@ -250,6 +250,17 @@ function(ggml_add_backend_library backend) target_compile_definitions(${backend} PRIVATE GGML_BACKEND_BUILD) target_compile_definitions(${backend} PUBLIC GGML_BACKEND_SHARED) endif() + + if(NOT GGML_AVAILABLE_BACKENDS) + set(GGML_AVAILABLE_BACKENDS "${backend}" + CACHE INTERNAL "List of backends for cmake package") + else() + list(FIND GGML_AVAILABLE_BACKENDS "${backend}" has_backend) + if(has_backend EQUAL -1) + set(GGML_AVAILABLE_BACKENDS "${GGML_AVAILABLE_BACKENDS};${backend}" + CACHE INTERNAL "List of backends for cmake package") + endif() + endif() endfunction() function(ggml_add_backend backend) From 6f53d8a6b41e48c73b345fc6c712c3b00ea4fb93 Mon Sep 17 00:00:00 2001 From: Nuno Date: Sun, 26 Jan 2025 18:22:43 +0100 Subject: [PATCH 042/162] docker: add missing vulkan library to base layer and update to 24.04 (#11422) Signed-off-by: rare-magma --- .devops/vulkan.Dockerfile | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.devops/vulkan.Dockerfile b/.devops/vulkan.Dockerfile index cfc2162e3..ad5dcd374 100644 --- a/.devops/vulkan.Dockerfile +++ b/.devops/vulkan.Dockerfile @@ -1,4 +1,4 @@ -ARG UBUNTU_VERSION=jammy +ARG UBUNTU_VERSION=24.04 FROM ubuntu:$UBUNTU_VERSION AS build @@ -7,7 +7,7 @@ RUN apt update && apt install -y git build-essential cmake wget # Install Vulkan SDK and cURL RUN wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key add - && \ - wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list && \ + wget -qO /etc/apt/sources.list.d/lunarg-vulkan-noble.list https://packages.lunarg.com/vulkan/lunarg-vulkan-noble.list && \ apt update -y && \ apt-get install -y vulkan-sdk libcurl4-openssl-dev curl @@ -34,7 +34,7 @@ RUN mkdir -p /app/full \ FROM ubuntu:$UBUNTU_VERSION AS base RUN apt-get update \ - && apt-get install -y libgomp1 curl\ + && apt-get install -y libgomp1 curl libvulkan-dev \ && apt autoremove -y \ && apt clean -y \ && rm -rf /tmp/* /var/tmp/* \ From 178a7eb952d211b8d4232d5e50ae1b64519172a9 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sun, 26 Jan 2025 20:06:16 +0200 Subject: [PATCH 043/162] metal : use residency sets (#11427) * metal : use residency sets ggml-ci * metal : restore commandBufferWithUnretainedReferences calls [no ci] * metal : release descriptors ggml-ci * metal : check env GGML_METAL_NO_RESIDENCY ggml-ci * metal : fix build + clean-up ggml-ci --- ggml/src/ggml-metal/ggml-metal.m | 136 +++++++++++++++++++++++++++---- 1 file changed, 119 insertions(+), 17 deletions(-) diff --git a/ggml/src/ggml-metal/ggml-metal.m b/ggml/src/ggml-metal/ggml-metal.m index a85502ee0..c9474345d 100644 --- a/ggml/src/ggml-metal/ggml-metal.m +++ b/ggml/src/ggml-metal/ggml-metal.m @@ -19,7 +19,10 @@ // max number of MTLCommandBuffer used to submit a graph for processing #define GGML_METAL_MAX_COMMAND_BUFFERS 8 -#define UNUSED(x) (void)(x) +// create residency sets only on macOS >= 15.0 +#if TARGET_OS_OSX && __MAC_OS_X_VERSION_MAX_ALLOWED >= 150000 +#define GGML_METAL_HAS_RESIDENCY_SETS 1 +#endif // globals @@ -39,6 +42,7 @@ static struct ggml_backend_metal_device_context { bool has_simdgroup_reduction; bool has_simdgroup_mm; + bool has_residency_sets; bool has_bfloat; bool use_bfloat; @@ -48,6 +52,7 @@ static struct ggml_backend_metal_device_context { /*.mtl_device_ref_count =*/ 0, /*.has_simdgroup_reduction =*/ false, /*.has_simdgroup_mm =*/ false, + /*.has_residency_sets =*/ false, /*.has_bfloat =*/ false, /*.use_bfloat =*/ false, /*.name =*/ "", @@ -65,6 +70,10 @@ static id ggml_backend_metal_device_acq(struct ggml_backend_metal_dev ctx->has_simdgroup_mm = [ctx->mtl_device supportsFamily:MTLGPUFamilyApple7]; +#if defined(GGML_METAL_HAS_RESIDENCY_SETS) + ctx->has_residency_sets = getenv("GGML_METAL_NO_RESIDENCY") == NULL; +#endif + ctx->has_bfloat = [ctx->mtl_device supportsFamily:MTLGPUFamilyMetal3_GGML]; ctx->has_bfloat |= [ctx->mtl_device supportsFamily:MTLGPUFamilyApple6]; @@ -483,6 +492,11 @@ static struct ggml_backend_metal_context * ggml_metal_init(ggml_backend_dev_t de GGML_LOG_INFO("%s: picking default device: %s\n", __func__, [[device name] UTF8String]); ctx->queue = [device newCommandQueue]; + if (ctx->queue == nil) { + GGML_LOG_ERROR("%s: error: failed to create command queue\n", __func__); + return NULL; + } + ctx->d_queue = dispatch_queue_create("ggml-metal", DISPATCH_QUEUE_CONCURRENT); id metal_library; @@ -649,6 +663,7 @@ static struct ggml_backend_metal_context * ggml_metal_init(ggml_backend_dev_t de GGML_LOG_INFO("%s: simdgroup reduction = %s\n", __func__, ctx_dev->has_simdgroup_reduction ? "true" : "false"); GGML_LOG_INFO("%s: simdgroup matrix mul. = %s\n", __func__, ctx_dev->has_simdgroup_mm ? "true" : "false"); + GGML_LOG_INFO("%s: has residency sets = %s\n", __func__, ctx_dev->has_residency_sets ? "true" : "false"); GGML_LOG_INFO("%s: has bfloat = %s\n", __func__, ctx_dev->has_bfloat ? "true" : "false"); GGML_LOG_INFO("%s: use bfloat = %s\n", __func__, ctx_dev->use_bfloat ? "true" : "false"); GGML_LOG_INFO("%s: hasUnifiedMemory = %s\n", __func__, ctx_dev->mtl_device.hasUnifiedMemory ? "true" : "false"); @@ -1035,8 +1050,70 @@ struct ggml_backend_metal_buffer_context { // multiple buffers are used only to avoid the maximum buffer size limitation when using mmap int n_buffers; struct ggml_backend_metal_buffer buffers[GGML_METAL_MAX_BUFFERS]; + + // optional MTLResidencySet + id rset; }; +// rset init +static bool ggml_backend_metal_buffer_rset_init( + struct ggml_backend_metal_buffer_context * ctx, + struct ggml_backend_metal_device_context * ctx_dev, + id device) { + ctx->rset = nil; + + if (!ctx_dev->has_residency_sets) { + return true; + } + +#if defined(GGML_METAL_HAS_RESIDENCY_SETS) + if (@available(macOS 15.0, *)) { + MTLResidencySetDescriptor * desc = [[MTLResidencySetDescriptor alloc] init]; + desc.label = @"ggml_backend_metal"; + desc.initialCapacity = ctx->n_buffers; + + NSError * error; + ctx->rset = [device newResidencySetWithDescriptor:desc error:&error]; + if (error) { + GGML_LOG_ERROR("%s: error: %s\n", __func__, [[error description] UTF8String]); + [desc release]; + return false; + } + + [desc release]; + + for (int i = 0; i < ctx->n_buffers; i++) { + [ctx->rset addAllocation:ctx->buffers[i].metal]; + } + + [ctx->rset commit]; + [ctx->rset requestResidency]; + + return true; + } +#else + GGML_UNUSED(ctx_dev); + GGML_UNUSED(device); +#endif + + return true; +} + +// rset free +static void ggml_backend_metal_buffer_rset_free(struct ggml_backend_metal_buffer_context * ctx) { +#if defined(GGML_METAL_HAS_RESIDENCY_SETS) + if (@available(macOS 15.0, *)) { + if (ctx->rset) { + [ctx->rset endResidency]; + [ctx->rset removeAllAllocations]; + [ctx->rset release]; + } + } +#else + GGML_UNUSED(ctx); +#endif +} + // finds the Metal buffer that contains the tensor data on the GPU device // the assumption is that there is 1-to-1 mapping between the host and device memory buffers, so we can find the // Metal buffer based on the host memory pointer @@ -4176,6 +4253,8 @@ static void ggml_backend_metal_buffer_free_buffer(ggml_backend_buffer_t buffer) for (int i = 0; i < ctx->n_buffers; i++) { [ctx->buffers[i].metal release]; } + + ggml_backend_metal_buffer_rset_free(ctx); ggml_backend_metal_device_rel(buffer->buft->device->context); if (ctx->owned) { @@ -4198,19 +4277,19 @@ static void * ggml_backend_metal_buffer_get_base(ggml_backend_buffer_t buffer) { static void ggml_backend_metal_buffer_memset_tensor(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, uint8_t value, size_t offset, size_t size) { memset((char *)tensor->data + offset, value, size); - UNUSED(buffer); + GGML_UNUSED(buffer); } static void ggml_backend_metal_buffer_set_tensor(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size) { memcpy((char *)tensor->data + offset, data, size); - UNUSED(buffer); + GGML_UNUSED(buffer); } static void ggml_backend_metal_buffer_get_tensor(ggml_backend_buffer_t buffer, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size) { memcpy(data, (const char *)tensor->data + offset, size); - UNUSED(buffer); + GGML_UNUSED(buffer); } static bool ggml_backend_metal_buffer_cpy_tensor(ggml_backend_buffer_t buffer, const struct ggml_tensor * src, struct ggml_tensor * dst) { @@ -4220,7 +4299,7 @@ static bool ggml_backend_metal_buffer_cpy_tensor(ggml_backend_buffer_t buffer, c } return false; - UNUSED(buffer); + GGML_UNUSED(buffer); } static void ggml_backend_metal_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) { @@ -4246,7 +4325,7 @@ static struct ggml_backend_buffer_i ggml_backend_metal_buffer_i = { static const char * ggml_backend_metal_buffer_type_get_name(ggml_backend_buffer_type_t buft) { return "Metal"; - UNUSED(buft); + GGML_UNUSED(buft); } static void ggml_backend_metal_log_allocated_size(id device, size_t size_aligned) { @@ -4270,8 +4349,8 @@ static void ggml_backend_metal_log_allocated_size(id device, size_t s } #endif #endif - UNUSED(device); - UNUSED(size_aligned); + GGML_UNUSED(device); + GGML_UNUSED(size_aligned); } static ggml_backend_buffer_t ggml_backend_metal_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) { @@ -4284,7 +4363,8 @@ static ggml_backend_buffer_t ggml_backend_metal_buffer_type_alloc_buffer(ggml_ba size_aligned += (size_page - (size_aligned % size_page)); } - id device = ggml_backend_metal_device_acq(buft->device->context); + struct ggml_backend_metal_device_context * ctx_dev = (struct ggml_backend_metal_device_context *)buft->device->context; + id device = ggml_backend_metal_device_acq(ctx_dev); ctx->all_data = ggml_metal_host_malloc(size_aligned); ctx->all_size = size_aligned; @@ -4307,7 +4387,14 @@ static ggml_backend_buffer_t ggml_backend_metal_buffer_type_alloc_buffer(ggml_ba if (size_aligned > 0 && (ctx->all_data == NULL || ctx->buffers[0].metal == nil)) { GGML_LOG_ERROR("%s: error: failed to allocate buffer, size = %8.2f MiB\n", __func__, size_aligned / 1024.0 / 1024.0); free(ctx); - ggml_backend_metal_device_rel(buft->device->context); + ggml_backend_metal_device_rel(ctx_dev); + return NULL; + } + + if (!ggml_backend_metal_buffer_rset_init(ctx, ctx_dev, device)) { + GGML_LOG_ERROR("%s: error: failed to initialize residency set\n", __func__); + free(ctx); + ggml_backend_metal_device_rel(ctx_dev); return NULL; } @@ -4318,7 +4405,7 @@ static ggml_backend_buffer_t ggml_backend_metal_buffer_type_alloc_buffer(ggml_ba static size_t ggml_backend_metal_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) { return 32; - UNUSED(buft); + GGML_UNUSED(buft); } static size_t ggml_backend_metal_buffer_type_get_max_size(ggml_backend_buffer_type_t buft) { @@ -4328,13 +4415,13 @@ static size_t ggml_backend_metal_buffer_type_get_max_size(ggml_backend_buffer_ty return max_size; - UNUSED(buft); + GGML_UNUSED(buft); } static bool ggml_backend_metal_buffer_type_is_host(ggml_backend_buffer_type_t buft) { return true; - UNUSED(buft); + GGML_UNUSED(buft); } ggml_backend_buffer_type_t ggml_backend_metal_buffer_type(void) { @@ -4357,7 +4444,7 @@ ggml_backend_buffer_type_t ggml_backend_metal_buffer_type(void) { static const char * ggml_backend_metal_buffer_from_ptr_type_get_name(ggml_backend_buffer_type_t buft) { return "Metal_Mapped"; - UNUSED(buft); + GGML_UNUSED(buft); } static ggml_backend_buffer_type_t ggml_backend_metal_buffer_from_ptr_type(void) { @@ -4400,7 +4487,8 @@ ggml_backend_buffer_t ggml_backend_metal_buffer_from_ptr(void * data, size_t siz size_aligned += (size_page - (size_aligned % size_page)); } - id device = ggml_backend_metal_device_acq(&g_ggml_ctx_dev_main); + struct ggml_backend_metal_device_context * ctx_dev = &g_ggml_ctx_dev_main; + id device = ggml_backend_metal_device_acq(ctx_dev); // the buffer fits into the max buffer size allowed by the device if (size_aligned <= device.maxBufferLength) { @@ -4453,6 +4541,13 @@ ggml_backend_buffer_t ggml_backend_metal_buffer_from_ptr(void * data, size_t siz } } + if (!ggml_backend_metal_buffer_rset_init(ctx, ctx_dev, device)) { + GGML_LOG_ERROR("%s: error: failed to initialize residency set\n", __func__); + free(ctx); + ggml_backend_metal_device_rel(ctx_dev); + return NULL; + } + return ggml_backend_buffer_init(ggml_backend_metal_buffer_from_ptr_type(), ggml_backend_metal_buffer_i, ctx, size); } @@ -4461,7 +4556,7 @@ ggml_backend_buffer_t ggml_backend_metal_buffer_from_ptr(void * data, size_t siz static const char * ggml_backend_metal_name(ggml_backend_t backend) { return "Metal"; - UNUSED(backend); + GGML_UNUSED(backend); } static void ggml_backend_metal_free(ggml_backend_t backend) { @@ -4766,6 +4861,13 @@ static ggml_backend_buffer_t ggml_backend_metal_device_buffer_from_ptr(ggml_back } } + if (!ggml_backend_metal_buffer_rset_init(ctx, ctx_dev, device)) { + GGML_LOG_ERROR("%s: error: failed to initialize residency set\n", __func__); + free(ctx); + ggml_backend_metal_device_rel(ctx_dev); + return NULL; + } + return ggml_backend_buffer_init(ggml_backend_metal_buffer_from_ptr_type(), ggml_backend_metal_buffer_i, ctx, size); } @@ -4779,7 +4881,7 @@ static bool ggml_backend_metal_device_supports_buft(ggml_backend_dev_t dev, ggml return buft->iface.get_name == ggml_backend_metal_buffer_type_get_name || buft->iface.get_name == ggml_backend_metal_buffer_from_ptr_type_get_name; - UNUSED(dev); + GGML_UNUSED(dev); } static bool ggml_backend_metal_device_offload_op(ggml_backend_dev_t dev, const struct ggml_tensor * op) { From caf773f249aa267c78d3da5567b8ab156080ea59 Mon Sep 17 00:00:00 2001 From: Xuan Son Nguyen Date: Sun, 26 Jan 2025 22:45:32 +0100 Subject: [PATCH 044/162] docker : fix ARM build and Vulkan build (#11434) * ci : do not fail-fast for docker * build arm64/amd64 separatedly * fix pip * no fast fail * vulkan: try jammy --- .devops/vulkan.Dockerfile | 4 ++-- .github/workflows/docker.yml | 4 +++- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/.devops/vulkan.Dockerfile b/.devops/vulkan.Dockerfile index ad5dcd374..b5bd3b6d2 100644 --- a/.devops/vulkan.Dockerfile +++ b/.devops/vulkan.Dockerfile @@ -1,4 +1,4 @@ -ARG UBUNTU_VERSION=24.04 +ARG UBUNTU_VERSION=22.04 FROM ubuntu:$UBUNTU_VERSION AS build @@ -7,7 +7,7 @@ RUN apt update && apt install -y git build-essential cmake wget # Install Vulkan SDK and cURL RUN wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key add - && \ - wget -qO /etc/apt/sources.list.d/lunarg-vulkan-noble.list https://packages.lunarg.com/vulkan/lunarg-vulkan-noble.list && \ + wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list && \ apt update -y && \ apt-get install -y vulkan-sdk libcurl4-openssl-dev curl diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml index d71f1eb38..6bf22eb66 100644 --- a/.github/workflows/docker.yml +++ b/.github/workflows/docker.yml @@ -32,10 +32,12 @@ jobs: env: COMMIT_SHA: ${{ github.sha }} strategy: + fail-fast: false matrix: config: # Multi-stage build - - { tag: "cpu", dockerfile: ".devops/cpu.Dockerfile", platforms: "linux/amd64,linux/arm64", full: true, light: true, server: true, freediskspace: false} + - { tag: "cpu", dockerfile: ".devops/cpu.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, freediskspace: false} + - { tag: "cpu", dockerfile: ".devops/cpu.Dockerfile", platforms: "linux/arm64", full: true, light: true, server: true, freediskspace: false} - { tag: "cuda", dockerfile: ".devops/cuda.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, freediskspace: false} - { tag: "musa", dockerfile: ".devops/musa.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, freediskspace: false} - { tag: "intel", dockerfile: ".devops/intel.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, freediskspace: false} From acd38efee316f3a5ed2e6afcbc5814807c347053 Mon Sep 17 00:00:00 2001 From: Ihar Hrachyshka Date: Mon, 27 Jan 2025 02:41:59 -0500 Subject: [PATCH 045/162] metal: Handle null returned from MTLCreateSystemDefaultDevice() (#11441) This fixes segmentation fault error when running tests when no metal devices are available (for example, when not linked with Core Graphics framework or otherwise). --- ggml/src/ggml-metal/ggml-metal.m | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/ggml/src/ggml-metal/ggml-metal.m b/ggml/src/ggml-metal/ggml-metal.m index c9474345d..76f8e4291 100644 --- a/ggml/src/ggml-metal/ggml-metal.m +++ b/ggml/src/ggml-metal/ggml-metal.m @@ -64,7 +64,9 @@ static id ggml_backend_metal_device_acq(struct ggml_backend_metal_dev if (ctx->mtl_device == nil) { ctx->mtl_device = MTLCreateSystemDefaultDevice(); + } + if (ctx->mtl_device) { ctx->has_simdgroup_reduction = [ctx->mtl_device supportsFamily:MTLGPUFamilyApple7]; ctx->has_simdgroup_reduction |= [ctx->mtl_device supportsFamily:MTLGPUFamilyMetal3_GGML]; @@ -99,8 +101,10 @@ static void ggml_backend_metal_device_rel(struct ggml_backend_metal_device_conte ctx->mtl_device_ref_count--; if (ctx->mtl_device_ref_count == 0) { - [ctx->mtl_device release]; - ctx->mtl_device = nil; + if (ctx->mtl_device) { + [ctx->mtl_device release]; + ctx->mtl_device = nil; + } } } From df984e014714cba4c99ef894b20b51cbcef31b16 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= Date: Mon, 27 Jan 2025 12:07:12 +0100 Subject: [PATCH 046/162] llama: refactor llama_decode_impl (#11381) --- src/llama.cpp | 243 +++++++++++++++++++++++++++++--------------------- 1 file changed, 140 insertions(+), 103 deletions(-) diff --git a/src/llama.cpp b/src/llama.cpp index 094157ccf..12e8f41fc 100644 --- a/src/llama.cpp +++ b/src/llama.cpp @@ -8432,13 +8432,141 @@ static enum ggml_status llama_graph_compute( return status; } +static int llama_prepare_sbatch( + llama_context & lctx, + const llama_batch & batch, + uint32_t & n_outputs) { + const auto & model = lctx.model; + const auto & hparams = model.hparams; + const auto & cparams = lctx.cparams; + + const uint32_t n_tokens_all = batch.n_tokens; + const int64_t n_embd = hparams.n_embd; + + // this indicates we are doing pooled embedding, so we ignore batch.logits and output all tokens + const bool embd_pooled = cparams.embeddings && cparams.pooling_type != LLAMA_POOLING_TYPE_NONE; + + GGML_ASSERT((!batch.token && batch.embd) || (batch.token && !batch.embd)); // NOLINT + if (batch.token) { + for (uint32_t i = 0; i < n_tokens_all; ++i) { + if (batch.token[i] < 0 || uint32_t(batch.token[i]) >= model.vocab.n_tokens()) { + LLAMA_LOG_ERROR("%s: invalid token[%d] = %d\n", __func__, i, batch.token[i]); + return -1; + } + } + } + GGML_ASSERT(n_tokens_all <= cparams.n_batch); + GGML_ASSERT((cparams.causal_attn || cparams.n_ubatch >= n_tokens_all) && "non-causal attention requires n_ubatch >= n_tokens"); + + lctx.n_queued_tokens += n_tokens_all; + lctx.embd_seq.clear(); + + // count outputs + if (batch.logits && !embd_pooled) { + for (uint32_t i = 0; i < n_tokens_all; ++i) { + n_outputs += batch.logits[i] != 0; + } + } else if (lctx.logits_all || embd_pooled) { + n_outputs = n_tokens_all; + } else { + // keep last output only + n_outputs = 1; + } + + lctx.sbatch.from_batch(batch, n_embd, + /* simple_split */ !lctx.kv_self.recurrent, + /* logits_all */ n_outputs == n_tokens_all); + + // reserve output buffer + if (llama_output_reserve(lctx, n_outputs) < n_outputs) { + LLAMA_LOG_ERROR("%s: could not reserve space for batch with %u outputs\n", __func__, n_outputs); + return -2; + }; + + return 0; +} + +static int llama_prepare_ubatch( + llama_context & lctx, + llama_kv_slot_restorer & kv_slot_restorer, + llama_ubatch & ubatch, + const uint32_t n_outputs, + const uint32_t n_tokens_all) { + GGML_ASSERT(lctx.sbatch.n_tokens > 0); + + auto & kv_self = lctx.kv_self; + const auto & cparams = lctx.cparams; + const auto & hparams = lctx.model.hparams; + + // this indicates we are doing pooled embedding, so we ignore batch.logits and output all tokens + const bool embd_pooled = cparams.embeddings && cparams.pooling_type != LLAMA_POOLING_TYPE_NONE; + + if (lctx.kv_self.recurrent) { + if (embd_pooled) { + // Pooled embeddings cannot be split across ubatches (yet) + ubatch = lctx.sbatch.split_seq(cparams.n_ubatch); + } else { + // recurrent model architectures are easier to implement + // with equal-length sequences + ubatch = lctx.sbatch.split_equal(cparams.n_ubatch); + } + } else { + ubatch = lctx.sbatch.split_simple(cparams.n_ubatch); + } + + // count the outputs in this u_batch + { + int32_t n_outputs_new = 0; + + if (n_outputs == n_tokens_all) { + n_outputs_new = ubatch.n_tokens; + } else { + GGML_ASSERT(ubatch.output); + for (uint32_t i = 0; i < ubatch.n_tokens; i++) { + n_outputs_new += int32_t(ubatch.output[i] != 0); + } + } + + // needs to happen before the graph is built + lctx.n_outputs = n_outputs_new; + } + + // non-causal masks do not use the KV cache + if (hparams.causal_attn) { + llama_kv_cache_update(&lctx); + + // if we have enough unused cells before the current head -> + // better to start searching from the beginning of the cache, hoping to fill it + if (kv_self.head > kv_self.used + 2*ubatch.n_tokens) { + kv_self.head = 0; + } + + const auto slot = llama_kv_cache_find_slot(kv_self, ubatch); + if (!slot) { + return 1; + } + kv_slot_restorer.save(slot); + + if (!kv_self.recurrent) { + // a heuristic, to avoid attending the full cache if it is not yet utilized + // after enough generations, the benefit from this heuristic disappears + // if we start defragmenting the cache, the benefit from this will be more important + const uint32_t pad = llama_kv_cache_get_padding(cparams); + kv_self.n = std::min(kv_self.size, std::max(pad, GGML_PAD(llama_kv_cache_cell_max(kv_self), pad))); + //kv_self.n = llama_kv_cache_cell_max(kv_self); + } + } + + return 0; +} + // decode a batch of tokens by evaluating the transformer // in case of unsuccessful decoding (error or warning), // the kv_cache state will be returned to its original state // (for non-recurrent models) or cleaned (for recurrent models) // // - lctx: llama context -// - batch: batch to evaluate +// - inp_batch: batch to evaluate // // return 0 on success // return positive int on warning @@ -8455,37 +8583,18 @@ static int llama_decode_impl( return -1; } - // temporary allocate memory for the input batch if needed + // temporarily allocate memory for the input batch if needed llama_batch_allocr batch_allocr(inp_batch, inp_batch.pos ? -1 : lctx.kv_self.max_pos() + 1); - const llama_batch & batch = batch_allocr.batch; - const uint32_t n_tokens_all = batch.n_tokens; const auto & model = lctx.model; const auto & vocab = model.vocab; const auto & hparams = model.hparams; const auto & cparams = lctx.cparams; - GGML_ASSERT((!batch.token && batch.embd) || (batch.token && !batch.embd)); // NOLINT - - if (batch.token) { - for (uint32_t i = 0; i < n_tokens_all; ++i) { - if (batch.token[i] < 0 || (uint32_t) batch.token[i] >= model.vocab.n_tokens()) { - LLAMA_LOG_ERROR("%s: invalid token[%d] = %d\n", __func__, i, batch.token[i]); - return -1; - } - } - } - - GGML_ASSERT(n_tokens_all <= cparams.n_batch); - - GGML_ASSERT((cparams.causal_attn || cparams.n_ubatch >= n_tokens_all) && "non-causal attention requires n_ubatch >= n_tokens"); - if (lctx.t_compute_start_us == 0) { lctx.t_compute_start_us = ggml_time_us(); } - lctx.n_queued_tokens += n_tokens_all; - auto & kv_self = lctx.kv_self; llama_kv_slot_restorer kv_slot_restorer(kv_self); @@ -8495,99 +8604,27 @@ static int llama_decode_impl( uint32_t n_outputs = 0; uint32_t n_outputs_prev = 0; - const auto n_ubatch = cparams.n_ubatch; - - // this indicates we are doing pooled embedding, so we ignore batch.logits and output all tokens - const bool embd_pooled = cparams.embeddings && cparams.pooling_type != LLAMA_POOLING_TYPE_NONE; - - lctx.embd_seq.clear(); - - // count outputs - if (batch.logits && !embd_pooled) { - for (uint32_t i = 0; i < n_tokens_all; ++i) { - n_outputs += batch.logits[i] != 0; + { + const int ret = llama_prepare_sbatch(lctx, batch, n_outputs); + if (ret != 0) { + return ret; } - } else if (lctx.logits_all || embd_pooled) { - n_outputs = n_tokens_all; - } else { - // keep last output only - n_outputs = 1; } - lctx.sbatch.from_batch(batch, n_embd, - /* simple_split */ !kv_self.recurrent, - /* logits_all */ n_outputs == n_tokens_all); - - // reserve output buffer - if (llama_output_reserve(lctx, n_outputs) < n_outputs) { - LLAMA_LOG_ERROR("%s: could not reserve space for batch with %u outputs\n", __func__, n_outputs); - return -2; - }; - while (lctx.sbatch.n_tokens > 0) { llama_ubatch ubatch; - if (kv_self.recurrent) { - if (embd_pooled) { - // Pooled embeddings cannot be split across ubatches (yet) - ubatch = lctx.sbatch.split_seq(n_ubatch); - } else { - // recurrent model architectures are easier to implement - // with equal-length sequences - ubatch = lctx.sbatch.split_equal(n_ubatch); - } - } else { - ubatch = lctx.sbatch.split_simple(n_ubatch); - } - const uint32_t n_tokens = ubatch.n_tokens; - - // count the outputs in this u_batch { - int32_t n_outputs_new = 0; - - if (n_outputs == n_tokens_all) { - n_outputs_new = n_tokens; - } else { - GGML_ASSERT(ubatch.output); - for (uint32_t i = 0; i < n_tokens; i++) { - n_outputs_new += (int32_t) (ubatch.output[i] != 0); - } + const int ret = llama_prepare_ubatch(lctx, kv_slot_restorer, ubatch, n_outputs, batch.n_tokens); + if (ret != 0) { + return ret; } - - // needs to happen before the graph is built - lctx.n_outputs = n_outputs_new; } - int n_threads = n_tokens == 1 ? cparams.n_threads : cparams.n_threads_batch; - ggml_threadpool_t threadpool = n_tokens == 1 ? lctx.threadpool : lctx.threadpool_batch; + const int n_threads = ubatch.n_tokens == 1 ? cparams.n_threads : cparams.n_threads_batch; + ggml_threadpool_t threadpool = ubatch.n_tokens == 1 ? lctx.threadpool : lctx.threadpool_batch; GGML_ASSERT(n_threads > 0); - // non-causal masks do not use the KV cache - if (hparams.causal_attn) { - llama_kv_cache_update(&lctx); - - // if we have enough unused cells before the current head -> - // better to start searching from the beginning of the cache, hoping to fill it - if (kv_self.head > kv_self.used + 2*n_tokens) { - kv_self.head = 0; - } - - const auto slot = llama_kv_cache_find_slot(kv_self, ubatch); - if (!slot) { - return 1; - } - kv_slot_restorer.save(slot); - - if (!kv_self.recurrent) { - // a heuristic, to avoid attending the full cache if it is not yet utilized - // after enough generations, the benefit from this heuristic disappears - // if we start defragmenting the cache, the benefit from this will be more important - const uint32_t pad = llama_kv_cache_get_padding(cparams); - kv_self.n = std::min(kv_self.size, std::max(pad, GGML_PAD(llama_kv_cache_cell_max(kv_self), pad))); - //kv_self.n = llama_kv_cache_cell_max(kv_self); - } - } - //printf("kv_self.n = %5d, kv_self.used = %5d, kv_self.head = %5d\n", kv_self.n, kv_self.used, kv_self.head); ggml_backend_sched_reset(lctx.sched.get()); @@ -8640,7 +8677,7 @@ static int llama_decode_impl( // update the kv ring buffer { - kv_self.head += n_tokens; + kv_self.head += ubatch.n_tokens; // Ensure kv cache head points to a valid index. if (kv_self.head >= kv_self.size) { From a5203b4465c5c87813936bde98170e25bb09024f Mon Sep 17 00:00:00 2001 From: lexasub Date: Mon, 27 Jan 2025 17:42:09 +0400 Subject: [PATCH 047/162] llama : minor fixes for up llama load model speed (#11448) * impl::load change map bpe_ranks to onordered map for reduce time of impl::load on 30% * llama_model_loader::init_mapping - replace new llama_mmap to std::make_unique for clean code & reduce (/2) time of running init_mappings * Update src/llama-vocab.cpp --------- Co-authored-by: lexasub Co-authored-by: Diego Devesa --- src/llama-model-loader.cpp | 2 +- src/llama-vocab.cpp | 9 +++++++-- 2 files changed, 8 insertions(+), 3 deletions(-) diff --git a/src/llama-model-loader.cpp b/src/llama-model-loader.cpp index 75073bf61..05d58ad90 100644 --- a/src/llama-model-loader.cpp +++ b/src/llama-model-loader.cpp @@ -819,7 +819,7 @@ void llama_model_loader::init_mappings(bool prefetch, llama_mlocks * mlock_mmaps for (const auto & file : files) { auto * reg = ggml_backend_dev_backend_reg(ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU)); auto * is_numa_fn = (decltype(ggml_is_numa) *) ggml_backend_reg_get_proc_address(reg, "ggml_backend_cpu_is_numa"); - std::unique_ptr mapping(new llama_mmap(file.get(), prefetch ? -1 : 0, is_numa_fn())); + std::unique_ptr mapping = std::make_unique(file.get(), prefetch ? -1 : 0, is_numa_fn()); mmaps_used.emplace_back(mapping->size(), 0); if (mlock_mmaps) { std::unique_ptr mlock_mmap(new llama_mlock()); diff --git a/src/llama-vocab.cpp b/src/llama-vocab.cpp index 0782d3a41..561f8bdb8 100644 --- a/src/llama-vocab.cpp +++ b/src/llama-vocab.cpp @@ -1245,8 +1245,13 @@ struct llama_vocab::impl { std::vector cache_special_tokens; std::vector cache_token_to_piece; // llama_token_to_piece(special = true); - - std::map, int> bpe_ranks; + struct pair_hash { + size_t operator()(const std::pair & p) const { + return std::hash{}(p.first) ^ //create some hash for pair + (std::hash{}(p.second) << 1); + } + }; + std::unordered_map, int, pair_hash> bpe_ranks; // set of all tokens that cause "end of generation" std::set special_eog_ids; From d6d24cd9ed6d0b9558643dcc28f2124bef488c52 Mon Sep 17 00:00:00 2001 From: Haus1 Date: Mon, 27 Jan 2025 08:58:17 -0500 Subject: [PATCH 048/162] AMD: parse the architecture as supplied by gcnArchName (#11244) The value provided by minor doesn't include stepping for AMD, parse the value returned by gcnArchName instead to retrieve an accurate ID. --- ggml/src/ggml-cuda/common.cuh | 20 +++++----- ggml/src/ggml-cuda/ggml-cuda.cu | 67 ++++++++++++++++++++++++++++++++- 2 files changed, 75 insertions(+), 12 deletions(-) diff --git a/ggml/src/ggml-cuda/common.cuh b/ggml/src/ggml-cuda/common.cuh index bb6120568..a66322da0 100644 --- a/ggml/src/ggml-cuda/common.cuh +++ b/ggml/src/ggml-cuda/common.cuh @@ -46,20 +46,20 @@ #define GGML_CUDA_CC_VOLTA 700 #define GGML_CUDA_CC_TURING 750 #define GGML_CUDA_CC_AMPERE 800 -#define GGML_CUDA_CC_OFFSET_AMD 1000000 +#define GGML_CUDA_CC_OFFSET_AMD 0x1000000 // GCN/CNDA, wave size is 64 -#define GGML_CUDA_CC_GCN4 (GGML_CUDA_CC_OFFSET_AMD + 803) // Tonga, Fiji, Polaris, minimum for fast fp16 -#define GGML_CUDA_CC_VEGA (GGML_CUDA_CC_OFFSET_AMD + 900) // Vega56/64, minimum for fp16 dual issue -#define GGML_CUDA_CC_VEGA20 (GGML_CUDA_CC_OFFSET_AMD + 906) // MI50/Radeon VII, minimum for dp4a -#define GGML_CUDA_CC_CDNA (GGML_CUDA_CC_OFFSET_AMD + 908) // MI100, minimum for MFMA, acc registers -#define GGML_CUDA_CC_CDNA2 (GGML_CUDA_CC_OFFSET_AMD + 910) // MI210, minimum acc register renameing -#define GGML_CUDA_CC_CDNA3 (GGML_CUDA_CC_OFFSET_AMD + 942) // MI300 +#define GGML_CUDA_CC_GCN4 (GGML_CUDA_CC_OFFSET_AMD + 0x803) // Tonga, Fiji, Polaris, minimum for fast fp16 +#define GGML_CUDA_CC_VEGA (GGML_CUDA_CC_OFFSET_AMD + 0x900) // Vega56/64, minimum for fp16 dual issue +#define GGML_CUDA_CC_VEGA20 (GGML_CUDA_CC_OFFSET_AMD + 0x906) // MI50/Radeon VII, minimum for dp4a +#define GGML_CUDA_CC_CDNA (GGML_CUDA_CC_OFFSET_AMD + 0x908) // MI100, minimum for MFMA, acc registers +#define GGML_CUDA_CC_CDNA2 (GGML_CUDA_CC_OFFSET_AMD + 0x910) // MI210, minimum acc register renameing +#define GGML_CUDA_CC_CDNA3 (GGML_CUDA_CC_OFFSET_AMD + 0x942) // MI300 // RNDA removes MFMA, dp4a, xnack, acc registers, wave size is 32 -#define GGML_CUDA_CC_RDNA1 (GGML_CUDA_CC_OFFSET_AMD + 1010) // RX 5000 -#define GGML_CUDA_CC_RDNA2 (GGML_CUDA_CC_OFFSET_AMD + 1030) // RX 6000, minimum for dp4a -#define GGML_CUDA_CC_RDNA3 (GGML_CUDA_CC_OFFSET_AMD + 1100) // RX 7000, minimum for WMMA +#define GGML_CUDA_CC_RDNA1 (GGML_CUDA_CC_OFFSET_AMD + 0x1010) // RX 5000 +#define GGML_CUDA_CC_RDNA2 (GGML_CUDA_CC_OFFSET_AMD + 0x1030) // RX 6000, minimum for dp4a +#define GGML_CUDA_CC_RDNA3 (GGML_CUDA_CC_OFFSET_AMD + 0x1100) // RX 7000, minimum for WMMA #define GGML_CUDA_CC_QY1 210 #define GGML_CUDA_CC_QY2 220 diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index 85178abd2..402f37e85 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -119,6 +119,55 @@ static cudaError_t ggml_cuda_device_malloc(void ** ptr, size_t size, int device) #endif } +#if defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__) +static int ggml_cuda_parse_id(char devName[]) { + // A list of possible Target IDs can be found under the rocclr/clr repo in device.cpp + // these values are not stable so this is susceptible to breakage + // https://github.com/ROCm/clr/blob/amd-staging/rocclr/device/device.cpp + int archMajor = 0x0; + int archMinor = 0x0; + int archNum = GGML_CUDA_CC_OFFSET_AMD; + int archLen = strlen(devName); + char archName[archLen + 1]; + + // strip leading 'gfx' while copying into our buffer + if (archLen > 3) { + strcpy(archName, &devName[3]); + archLen -= 3; + } + + // trim trailing :xnack- or :sramecc- statuses + archLen = strcspn(archName, ":"); + archName[archLen] = '\0'; + + // tease out the version information + if (archLen > 8) { + // versions labeled generic use '-' as delimiter + // strip the trailing "-generic" then iterate through what remains + if ((strstr(archName, "-generic"))) { + archName[archLen - 8] = '\0'; + char * pch; + if ((pch = strtok(archName, "-"))) { + archMajor = (int)strtoul(pch, 0, 16); + if ((pch = strtok(NULL, "-"))) { + archMinor = 0x10 * (int)strtoul(pch, 0, 16); + } + } + } + } else if (archLen >= 3) { + // last two digits should be the minor * 0x10 + stepping + archMinor = (int)strtoul(&archName[archLen - 2], 0, 16); + archName[archLen - 2] = '\0'; + + // only the major version remains + archMajor = (int)strtoul(archName, 0, 16); + } + archNum += archMajor * 0x100; + archNum += archMinor; + return archNum; +} +#endif // defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__) + static ggml_cuda_device_info ggml_cuda_init() { #ifdef __HIP_PLATFORM_AMD__ // Workaround for a rocBLAS bug when using multiple graphics cards: @@ -169,7 +218,6 @@ static ggml_cuda_device_info ggml_cuda_init() { cudaDeviceProp prop; CUDA_CHECK(cudaGetDeviceProperties(&prop, id)); - GGML_LOG_INFO(" Device %d: %s, compute capability %d.%d, VMM: %s\n", id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no"); info.default_tensor_split[id] = total_vram; total_vram += prop.totalGlobalMem; @@ -178,10 +226,25 @@ static ggml_cuda_device_info ggml_cuda_init() { info.devices[id].smpb = prop.sharedMemPerBlock; #if defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__) info.devices[id].smpbo = prop.sharedMemPerBlock; - info.devices[id].cc = 100*prop.major + 10*prop.minor + GGML_CUDA_CC_OFFSET_AMD; + + info.devices[id].cc = ggml_cuda_parse_id(prop.gcnArchName); + if ((info.devices[id].cc & 0xff00) == 0x0) { + GGML_LOG_WARN("invalid architecture ID received for device %d %s: %s cc %d.%d\n", + id, prop.name, prop.gcnArchName, prop.major, prop.minor); + + // Fallback to prop.major and prop.minor + if (prop.major > 0) { + info.devices[id].cc = GGML_CUDA_CC_OFFSET_AMD + prop.major * 0x100; + info.devices[id].cc += prop.minor * 0x10; + } + } + GGML_LOG_INFO(" Device %d: %s, %s (0x%x), VMM: %s\n", + id, prop.name, prop.gcnArchName, info.devices[id].cc & 0xffff, device_vmm ? "yes" : "no"); #else info.devices[id].smpbo = prop.sharedMemPerBlockOptin; info.devices[id].cc = 100*prop.major + 10*prop.minor; + GGML_LOG_INFO(" Device %d: %s, compute capability %d.%d, VMM: %s\n", + id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no"); #endif // defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__) } From a4417ddda98fd0558fb4d802253e68a933704b59 Mon Sep 17 00:00:00 2001 From: Eric Curtin Date: Mon, 27 Jan 2025 19:36:10 +0100 Subject: [PATCH 049/162] Add new hf protocol for ollama (#11449) https://huggingface.co/docs/hub/en/ollama Signed-off-by: Eric Curtin --- examples/run/run.cpp | 121 ++++++++++++++++++++++++++++--------------- 1 file changed, 80 insertions(+), 41 deletions(-) diff --git a/examples/run/run.cpp b/examples/run/run.cpp index 92a49eb74..8a0db74b6 100644 --- a/examples/run/run.cpp +++ b/examples/run/run.cpp @@ -319,6 +319,10 @@ class HttpClient { public: int init(const std::string & url, const std::vector & headers, const std::string & output_file, const bool progress, std::string * response_str = nullptr) { + if (std::filesystem::exists(output_file)) { + return 0; + } + std::string output_file_partial; curl = curl_easy_init(); if (!curl) { @@ -558,13 +562,14 @@ class LlamaData { } sampler = initialize_sampler(opt); + return 0; } private: #ifdef LLAMA_USE_CURL - int download(const std::string & url, const std::vector & headers, const std::string & output_file, - const bool progress, std::string * response_str = nullptr) { + int download(const std::string & url, const std::string & output_file, const bool progress, + const std::vector & headers = {}, std::string * response_str = nullptr) { HttpClient http; if (http.init(url, headers, output_file, progress, response_str)) { return 1; @@ -573,48 +578,85 @@ class LlamaData { return 0; } #else - int download(const std::string &, const std::vector &, const std::string &, const bool, + int download(const std::string &, const std::string &, const bool, const std::vector & = {}, std::string * = nullptr) { printe("%s: llama.cpp built without libcurl, downloading from an url not supported.\n", __func__); + return 1; } #endif - int huggingface_dl(const std::string & model, const std::vector headers, const std::string & bn) { - // Find the second occurrence of '/' after protocol string - size_t pos = model.find('/'); - pos = model.find('/', pos + 1); - if (pos == std::string::npos) { - return 1; - } - - const std::string hfr = model.substr(0, pos); - const std::string hff = model.substr(pos + 1); - const std::string url = "https://huggingface.co/" + hfr + "/resolve/main/" + hff; - return download(url, headers, bn, true); - } - - int ollama_dl(std::string & model, const std::vector headers, const std::string & bn) { - if (model.find('/') == std::string::npos) { - model = "library/" + model; - } - - std::string model_tag = "latest"; - size_t colon_pos = model.find(':'); + // Helper function to handle model tag extraction and URL construction + std::pair extract_model_and_tag(std::string & model, const std::string & base_url) { + std::string model_tag = "latest"; + const size_t colon_pos = model.find(':'); if (colon_pos != std::string::npos) { model_tag = model.substr(colon_pos + 1); model = model.substr(0, colon_pos); } - std::string manifest_url = "https://registry.ollama.ai/v2/" + model + "/manifests/" + model_tag; + std::string url = base_url + model + "/manifests/" + model_tag; + + return { model, url }; + } + + // Helper function to download and parse the manifest + int download_and_parse_manifest(const std::string & url, const std::vector & headers, + nlohmann::json & manifest) { std::string manifest_str; - const int ret = download(manifest_url, headers, "", false, &manifest_str); + int ret = download(url, "", false, headers, &manifest_str); if (ret) { return ret; } - nlohmann::json manifest = nlohmann::json::parse(manifest_str); - std::string layer; + manifest = nlohmann::json::parse(manifest_str); + + return 0; + } + + int huggingface_dl(std::string & model, const std::string & bn) { + // Find the second occurrence of '/' after protocol string + size_t pos = model.find('/'); + pos = model.find('/', pos + 1); + std::string hfr, hff; + std::vector headers = { "User-Agent: llama-cpp", "Accept: application/json" }; + std::string url; + + if (pos == std::string::npos) { + auto [model_name, manifest_url] = extract_model_and_tag(model, "https://huggingface.co/v2/"); + hfr = model_name; + + nlohmann::json manifest; + int ret = download_and_parse_manifest(manifest_url, headers, manifest); + if (ret) { + return ret; + } + + hff = manifest["ggufFile"]["rfilename"]; + } else { + hfr = model.substr(0, pos); + hff = model.substr(pos + 1); + } + + url = "https://huggingface.co/" + hfr + "/resolve/main/" + hff; + + return download(url, bn, true, headers); + } + + int ollama_dl(std::string & model, const std::string & bn) { + const std::vector headers = { "Accept: application/vnd.docker.distribution.manifest.v2+json" }; + if (model.find('/') == std::string::npos) { + model = "library/" + model; + } + + auto [model_name, manifest_url] = extract_model_and_tag(model, "https://registry.ollama.ai/v2/"); + nlohmann::json manifest; + int ret = download_and_parse_manifest(manifest_url, {}, manifest); + if (ret) { + return ret; + } + + std::string layer; for (const auto & l : manifest["layers"]) { if (l["mediaType"] == "application/vnd.ollama.image.model") { layer = l["digest"]; @@ -622,8 +664,9 @@ class LlamaData { } } - std::string blob_url = "https://registry.ollama.ai/v2/" + model + "/blobs/" + layer; - return download(blob_url, headers, bn, true); + std::string blob_url = "https://registry.ollama.ai/v2/" + model_name + "/blobs/" + layer; + + return download(blob_url, bn, true, headers); } std::string basename(const std::string & path) { @@ -653,22 +696,18 @@ class LlamaData { return ret; } - const std::string bn = basename(model_); - const std::vector headers = { "--header", - "Accept: application/vnd.docker.distribution.manifest.v2+json" }; + const std::string bn = basename(model_); if (string_starts_with(model_, "hf://") || string_starts_with(model_, "huggingface://")) { rm_until_substring(model_, "://"); - ret = huggingface_dl(model_, headers, bn); + ret = huggingface_dl(model_, bn); } else if (string_starts_with(model_, "hf.co/")) { rm_until_substring(model_, "hf.co/"); - ret = huggingface_dl(model_, headers, bn); - } else if (string_starts_with(model_, "ollama://")) { - rm_until_substring(model_, "://"); - ret = ollama_dl(model_, headers, bn); + ret = huggingface_dl(model_, bn); } else if (string_starts_with(model_, "https://")) { - ret = download(model_, headers, bn, true); - } else { - ret = ollama_dl(model_, headers, bn); + ret = download(model_, bn, true); + } else { // ollama:// or nothing + rm_until_substring(model_, "://"); + ret = ollama_dl(model_, bn); } model_ = bn; From 2b8525d5c89b124c4578a2621cbeb64354ff3d9c Mon Sep 17 00:00:00 2001 From: Michael Engel Date: Tue, 28 Jan 2025 09:32:40 +0100 Subject: [PATCH 050/162] Handle missing model in CLI parameters for llama-run (#11399) The HTTP client in llama-run only prints an error in case the download of a resource failed. If the model name in the CLI parameter list is missing, this causes the application to crash. In order to prevent this, a check for the required model parameter has been added and errors for resource downloads get propagated to the caller. Signed-off-by: Michael Engel --- examples/run/run.cpp | 18 +++++++++++------- 1 file changed, 11 insertions(+), 7 deletions(-) diff --git a/examples/run/run.cpp b/examples/run/run.cpp index 8a0db74b6..5980a786f 100644 --- a/examples/run/run.cpp +++ b/examples/run/run.cpp @@ -181,6 +181,10 @@ class Opt { } } + if (model_.empty()){ + return 1; + } + return 0; } @@ -350,7 +354,11 @@ class HttpClient { data.file_size = set_resume_point(output_file_partial); set_progress_options(progress, data); set_headers(headers); - perform(url); + CURLcode res = perform(url); + if (res != CURLE_OK){ + printe("Fetching resource '%s' failed: %s\n", url.c_str(), curl_easy_strerror(res)); + return 1; + } if (!output_file.empty()) { std::filesystem::rename(output_file_partial, output_file); } @@ -415,16 +423,12 @@ class HttpClient { } } - void perform(const std::string & url) { - CURLcode res; + CURLcode perform(const std::string & url) { curl_easy_setopt(curl, CURLOPT_URL, url.c_str()); curl_easy_setopt(curl, CURLOPT_FOLLOWLOCATION, 1L); curl_easy_setopt(curl, CURLOPT_DEFAULT_PROTOCOL, "https"); curl_easy_setopt(curl, CURLOPT_FAILONERROR, 1L); - res = curl_easy_perform(curl); - if (res != CURLE_OK) { - printe("curl_easy_perform() failed: %s\n", curl_easy_strerror(res)); - } + return curl_easy_perform(curl); } static std::string human_readable_time(double seconds) { From 6e84b0ab8e10b8f6f99a32855f976ebcd35b0353 Mon Sep 17 00:00:00 2001 From: Akarshan Biswas Date: Tue, 28 Jan 2025 15:26:58 +0530 Subject: [PATCH 051/162] SYCL : SOFTMAX F16 mask support and other fixes (#11261) Implemented ggml_sycl_op_soft_max() F16 src1(mask) support for which a pragma deprecation warning was added during #5021. To do this, had to decouple it from ggml_sycl_op_flatten which always considered src1 to be of fp32 type(many OP functions are dependent on it). * SYCL: SOFTMAX F16 mask support and other fixes * test-backend-ops: Add F16 mask test cases --- ggml/src/ggml-sycl/ggml-sycl.cpp | 6 +--- ggml/src/ggml-sycl/softmax.cpp | 56 +++++++++++++++++++------------- ggml/src/ggml-sycl/softmax.hpp | 6 +--- tests/test-backend-ops.cpp | 45 ++++++++++++++++--------- 4 files changed, 64 insertions(+), 49 deletions(-) diff --git a/ggml/src/ggml-sycl/ggml-sycl.cpp b/ggml/src/ggml-sycl/ggml-sycl.cpp index ed4d8bb8b..2984ed82e 100644 --- a/ggml/src/ggml-sycl/ggml-sycl.cpp +++ b/ggml/src/ggml-sycl/ggml-sycl.cpp @@ -3878,10 +3878,6 @@ static void ggml_sycl_diag_mask_inf(ggml_backend_sycl_context & ctx, ggml_tensor ggml_sycl_op_flatten(ctx, dst->src[0], dst->src[1], dst, ggml_sycl_op_diag_mask_inf); } -static void ggml_sycl_soft_max(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { - ggml_sycl_op_flatten(ctx, dst->src[0], dst->src[1], dst, ggml_sycl_op_soft_max); -} - static void ggml_sycl_rope(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { GGML_ASSERT(ggml_is_contiguous(dst->src[0])); // TODO: this restriction is temporary until non-cont support is implemented ggml_sycl_op_flatten(ctx, dst->src[0], dst->src[1], dst, ggml_sycl_op_rope); @@ -4090,7 +4086,7 @@ bool ggml_sycl_compute_forward(ggml_backend_sycl_context & ctx, struct ggml_tens ggml_sycl_diag_mask_inf(ctx, dst); break; case GGML_OP_SOFT_MAX: - ggml_sycl_soft_max(ctx, dst); + ggml_sycl_op_soft_max(ctx, dst); break; case GGML_OP_ROPE: ggml_sycl_rope(ctx, dst); diff --git a/ggml/src/ggml-sycl/softmax.cpp b/ggml/src/ggml-sycl/softmax.cpp index a9b3fce0d..563e0655f 100644 --- a/ggml/src/ggml-sycl/softmax.cpp +++ b/ggml/src/ggml-sycl/softmax.cpp @@ -1,7 +1,7 @@ -#include "norm.hpp" +#include "softmax.hpp" -template -static void soft_max_f32(const float * x, const float * mask, float * dst, const int ncols_par, +template +static void soft_max_f32(const float * x, const T * mask, float * dst, const int ncols_par, const int nrows_y, const float scale, const float max_bias, const float m0, const float m1, uint32_t n_head_log2, const sycl::nd_item<3> &item_ct1, float *buf) { const int ncols = ncols_template == 0 ? ncols_par : ncols_template; @@ -29,7 +29,7 @@ static void soft_max_f32(const float * x, const float * mask, float * dst, const slope = sycl::pow(base, float(exp)); } - float *vals = vals_smem ? buf + std::max(nwarps, WARP_SIZE) : dst + rowx * ncols; + float *vals = vals_smem ? buf + sycl::max(nwarps, WARP_SIZE) : dst + rowx * ncols; float max_val = -INFINITY; for (int col0 = 0; col0 < ncols; col0 += block_size) { @@ -42,7 +42,7 @@ static void soft_max_f32(const float * x, const float * mask, float * dst, const const int ix = rowx*ncols + col; const int iy = rowy*ncols + col; - const float val = x[ix]*scale + (mask ? slope*mask[iy] : 0.0f); + const float val = x[ix]*scale + (mask ? slope*static_cast(mask[iy]) : 0.0f); vals[col] = val; max_val = sycl::max(max_val, val); @@ -65,7 +65,7 @@ static void soft_max_f32(const float * x, const float * mask, float * dst, const item_ct1.barrier(sycl::access::fence_space::local_space); max_val = buf[lane_id]; for (size_t i = 1; i < nreduce; i += 1) { - max_val = std::max(max_val, buf[lane_id + i * WARP_SIZE]); + max_val = sycl::max(max_val, buf[lane_id + i * WARP_SIZE]); } max_val = warp_reduce_max(max_val, item_ct1); } @@ -122,8 +122,8 @@ static void soft_max_f32(const float * x, const float * mask, float * dst, const } } -template -static void soft_max_f32_submitter(const float * x, const float * mask, float * dst, const int ncols_par, +template +static void soft_max_f32_submitter(const float * x, const T * mask, float * dst, const int ncols_par, const int nrows_y, const float scale, const float max_bias, const float m0, const float m1, uint32_t n_head_log2, sycl::range<3> block_nums, sycl::range<3> block_dims, const size_t n_local_scratch, queue_ptr stream) { @@ -141,7 +141,8 @@ static void soft_max_f32_submitter(const float * x, const float * mask, float * }); } -static void soft_max_f32_sycl(const float * x, const float * mask, +template +static void soft_max_f32_sycl(const float * x, const T * mask, float * dst, const int ncols_x, const int nrows_x, const int nrows_y, const float scale, const float max_bias, queue_ptr stream, int device) { @@ -223,22 +224,16 @@ static void soft_max_f32_sycl(const float * x, const float * mask, } } -void ggml_sycl_op_soft_max(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, - const ggml_tensor *src1, ggml_tensor *dst, - const float *src0_dd, const float *src1_dd, - float *dst_dd, - const queue_ptr &main_stream) { +void ggml_sycl_op_soft_max(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { - GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); -#pragma message("TODO: add ggml_sycl_op_soft_max() F16 src1 support") -#pragma message("ref: https://github.com/ggerganov/llama.cpp/pull/5021") - GGML_ASSERT(!src1 || src1->type == GGML_TYPE_F32); // src1 contains mask and it is optional + GGML_ASSERT(!dst->src[1] || dst->src[1]->type == GGML_TYPE_F16 || dst->src[1]->type == GGML_TYPE_F32); // src1 contains mask and it is optional - const int64_t ne00 = src0->ne[0]; - const int64_t nrows_x = ggml_nrows(src0); - const int64_t nrows_y = src0->ne[1]; + const int64_t ne00 = dst->src[0]->ne[0]; + const int64_t nrows_x = ggml_nrows(dst->src[0]); + const int64_t nrows_y = dst->src[0]->ne[1]; float scale = 1.0f; float max_bias = 0.0f; @@ -246,6 +241,21 @@ void ggml_sycl_op_soft_max(ggml_backend_sycl_context & ctx, const ggml_tensor *s memcpy(&scale, dst->op_params + 0, sizeof(float)); memcpy(&max_bias, dst->op_params + 1, sizeof(float)); - soft_max_f32_sycl(src0_dd, src1 ? src1_dd : nullptr, dst_dd, ne00, - nrows_x, nrows_y, scale, max_bias, main_stream, ctx.device); + const float * src0_dd = static_cast(dst->src[0]->data); + float * dst_dd = static_cast(dst->data); + + ggml_sycl_set_device(ctx.device); + dpct::queue_ptr main_stream = ctx.stream(); + + if (dst->src[1] && dst->src[1]->type == GGML_TYPE_F16) { + const sycl::half * src1_dd = static_cast(dst->src[1]->data); + soft_max_f32_sycl(src0_dd, src1_dd, dst_dd, ne00, nrows_x, nrows_y, scale, max_bias, + main_stream, ctx.device); + } else if (dst->src[1] && dst->src[1]->type == GGML_TYPE_F32) { + const float * src1_dd = static_cast(dst->src[1]->data); + soft_max_f32_sycl(src0_dd, src1_dd, dst_dd, ne00, nrows_x, nrows_y, scale, max_bias, main_stream, ctx.device); + } else { + /* mask unavailable */ + soft_max_f32_sycl(src0_dd, nullptr, dst_dd, ne00, nrows_x, nrows_y, scale, max_bias, main_stream, ctx.device); + } } diff --git a/ggml/src/ggml-sycl/softmax.hpp b/ggml/src/ggml-sycl/softmax.hpp index bdb8f712e..2cf8582ec 100644 --- a/ggml/src/ggml-sycl/softmax.hpp +++ b/ggml/src/ggml-sycl/softmax.hpp @@ -15,10 +15,6 @@ #include "common.hpp" -void ggml_sycl_op_soft_max(ggml_backend_sycl_context &ctx, const ggml_tensor *src0, - const ggml_tensor *src1, ggml_tensor *dst, - const float *src0_dd, const float *src1_dd, - float *dst_dd, - const queue_ptr &main_stream); +void ggml_sycl_op_soft_max(ggml_backend_sycl_context &ctx, ggml_tensor *dst); #endif // GGML_SYCL_SOFTMAX_HPP diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp index 468016403..4c5c4dd9c 100644 --- a/tests/test-backend-ops.cpp +++ b/tests/test-backend-ops.cpp @@ -2347,11 +2347,12 @@ struct test_soft_max : public test_case { const ggml_type type; const std::array ne; const bool mask; + const ggml_type m_prec; const float scale; const float max_bias; std::string vars() override { - return VARS_TO_STR5(type, ne, mask, scale, max_bias); + return VARS_TO_STR6(type, ne, mask, m_prec, scale, max_bias); } // the 1024 test with bias occasionally fails: @@ -2363,9 +2364,10 @@ struct test_soft_max : public test_case { test_soft_max(ggml_type type = GGML_TYPE_F32, std::array ne = {10, 5, 4, 3}, bool mask = false, + ggml_type m_prec = GGML_TYPE_F32, float scale = 1.0f, float max_bias = 0.0f) - : type(type), ne(ne), mask(mask), scale(scale), max_bias(max_bias) {} + : type(type), ne(ne), mask(mask), m_prec(m_prec), scale(scale), max_bias(max_bias) {} ggml_tensor * build_graph(ggml_context * ctx) override { ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne.data()); @@ -2374,7 +2376,7 @@ struct test_soft_max : public test_case { ggml_tensor * mask = nullptr; if (this->mask) { - mask = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, ne[0], ne[1]); + mask = ggml_new_tensor_2d(ctx, m_prec, ne[0], ne[1]); ggml_set_name(mask, "mask"); } @@ -4150,17 +4152,28 @@ static std::vector> make_test_cases_eval() { for (float scale : {1.0f, 0.1f}) { for (int64_t ne0 : {16, 1024}) { for (int64_t ne1 : {16, 1024}) { - test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {ne0, ne1, 1, 1}, mask, scale, max_bias)); - test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {ne0-1, ne1-1, 1, 1}, mask, scale, max_bias)); + if (mask) { + for (ggml_type m_prec : {GGML_TYPE_F32, GGML_TYPE_F16}) { + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {ne0, ne1, 1, 1}, mask, m_prec, scale, max_bias)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {ne0-1, ne1-1, 1, 1}, mask, m_prec, scale, max_bias)); + } + } else { + /* The precision of mask here doesn't matter as boolean mask is false */ + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {ne0, ne1, 1, 1}, mask, GGML_TYPE_F32, scale, max_bias)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {ne0-1, ne1-1, 1, 1}, mask, GGML_TYPE_F32, scale, max_bias)); + } } } } } } - test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {16, 2, 32, 1}, true, 0.1f, 0.0f)); - test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {16, 2, 32, 1}, false, 0.1f, 0.0f)); - test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {32, 2, 32, 1}, true, 0.1f, 0.0f)); - test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {32, 2, 32, 1}, true, 0.1f, 8.0f)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {16, 2, 32, 1}, true, GGML_TYPE_F32, 0.1f, 0.0f)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {16, 2, 32, 1}, true, GGML_TYPE_F16, 0.1f, 0.0f)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {16, 2, 32, 1}, false, GGML_TYPE_F32, 0.1f, 0.0f)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {32, 2, 32, 1}, true, GGML_TYPE_F32, 0.1f, 0.0f)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {32, 2, 32, 1}, true, GGML_TYPE_F16, 0.1f, 0.0f)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {32, 2, 32, 1}, true, GGML_TYPE_F32, 0.1f, 8.0f)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {32, 2, 32, 1}, true, GGML_TYPE_F16, 0.1f, 8.0f)); for (float max_bias : {0.0f, 8.0f}) { for (float scale : {1.0f, 0.1f}) { @@ -4296,13 +4309,13 @@ static std::vector> make_test_cases_perf() { test_cases.emplace_back(new test_cpy(GGML_TYPE_F32, GGML_TYPE_F32, {8192, 512, 2, 1}, {0, 2, 1, 3})); test_cases.emplace_back(new test_cpy(GGML_TYPE_F32, GGML_TYPE_F32, {3072, 512, 2, 1}, {0, 2, 1, 3})); - test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {4096, 4096, 5, 1}, false, 1.0f, 0.0f)); - test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {77, 4096, 5, 1}, false, 1.0f, 0.0f)); - test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {1024, 1024, 10, 1}, false, 1.0f, 0.0f)); - test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {77, 1024, 10, 1}, false, 1.0f, 0.0f)); - test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {256, 256, 20, 1}, false, 1.0f, 0.0f)); - test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {64, 64, 20, 1}, false, 1.0f, 0.0f)); - test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {77, 64, 20, 1}, false, 1.0f, 0.0f)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {4096, 4096, 5, 1}, false, GGML_TYPE_F32, 1.0f, 0.0f)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {77, 4096, 5, 1}, false, GGML_TYPE_F32, 1.0f, 0.0f)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {1024, 1024, 10, 1}, false, GGML_TYPE_F32, 1.0f, 0.0f)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {77, 1024, 10, 1}, false, GGML_TYPE_F32, 1.0f, 0.0f)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {256, 256, 20, 1}, false, GGML_TYPE_F32, 1.0f, 0.0f)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {64, 64, 20, 1}, false, GGML_TYPE_F32, 1.0f, 0.0f)); + test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {77, 64, 20, 1}, false, GGML_TYPE_F32, 1.0f, 0.0f)); test_cases.emplace_back(new test_argmax(GGML_TYPE_F32, {32, 10, 1, 1})); test_cases.emplace_back(new test_argmax(GGML_TYPE_F32, {1024, 10, 1, 1})); From f643120bad8ab3a753daa64aaac8288ee5800e06 Mon Sep 17 00:00:00 2001 From: Nuno Date: Tue, 28 Jan 2025 11:42:32 +0100 Subject: [PATCH 052/162] docker: add perplexity and bench commands to full image (#11438) Signed-off-by: rare-magma --- .devops/tools.sh | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/.devops/tools.sh b/.devops/tools.sh index 9a86e6ea0..41a6b1e55 100755 --- a/.devops/tools.sh +++ b/.devops/tools.sh @@ -13,9 +13,13 @@ elif [[ "$arg1" == '--quantize' || "$arg1" == '-q' ]]; then exec ./llama-quantize "$@" elif [[ "$arg1" == '--run' || "$arg1" == '-r' ]]; then exec ./llama-cli "$@" +elif [[ "$arg1" == '--bench' || "$arg1" == '-b' ]]; then + exec ./llama-bench "$@" +elif [[ "$arg1" == '--perplexity' || "$arg1" == '-p' ]]; then + exec ./llama-perplexity "$@" elif [[ "$arg1" == '--all-in-one' || "$arg1" == '-a' ]]; then echo "Converting PTH to GGML..." - for i in `ls $1/$2/ggml-model-f16.bin*`; do + for i in $(ls $1/$2/ggml-model-f16.bin*); do if [ -f "${i/f16/q4_0}" ]; then echo "Skip model quantization, it already exists: ${i/f16/q4_0}" else @@ -30,6 +34,10 @@ else echo "Available commands: " echo " --run (-r): Run a model previously converted into ggml" echo " ex: -m /models/7B/ggml-model-q4_0.bin -p \"Building a website can be done in 10 simple steps:\" -n 512" + echo " --bench (-b): Benchmark the performance of the inference for various parameters." + echo " ex: -m model.gguf" + echo " --perplexity (-p): Measure the perplexity of a model over a given text." + echo " ex: -m model.gguf -f file.txt" echo " --convert (-c): Convert a llama model into ggml" echo " ex: --outtype f16 \"/models/7B/\" " echo " --quantize (-q): Optimize with quantization process ggml" From 4bf3119d61c1de5660025fd5a611effe503e3d2b Mon Sep 17 00:00:00 2001 From: someone13574 <81528246+someone13574@users.noreply.github.com> Date: Tue, 28 Jan 2025 09:15:34 -0500 Subject: [PATCH 053/162] cmake : don't fail on `GGML_CPU=OFF` (#11457) --- ggml/src/CMakeLists.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ggml/src/CMakeLists.txt b/ggml/src/CMakeLists.txt index 8d2b948fb..566709135 100644 --- a/ggml/src/CMakeLists.txt +++ b/ggml/src/CMakeLists.txt @@ -308,7 +308,7 @@ if (GGML_CPU_ALL_VARIANTS) # MSVC doesn't support AMX ggml_add_cpu_backend_variant(sapphirerapids AVX F16C AVX2 FMA AVX512 AVX512_VBMI AVX512_VNNI AVX512_BF16 AMX_TILE AMX_INT8) endif() -else () +elseif (GGML_CPU) ggml_add_cpu_backend_variant_impl("") endif() From d7d1eccacccaa698c9232014b96a82b359595d6e Mon Sep 17 00:00:00 2001 From: Nuno Date: Tue, 28 Jan 2025 15:17:25 +0100 Subject: [PATCH 054/162] docker: allow installing pip packages system-wide (#11437) Signed-off-by: rare-magma --- .devops/vulkan.Dockerfile | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/.devops/vulkan.Dockerfile b/.devops/vulkan.Dockerfile index b5bd3b6d2..eabf832f8 100644 --- a/.devops/vulkan.Dockerfile +++ b/.devops/vulkan.Dockerfile @@ -55,8 +55,9 @@ RUN apt-get update \ git \ python3 \ python3-pip \ - && pip install --upgrade pip setuptools wheel \ - && pip install -r requirements.txt \ + python3-wheel \ + && pip install --break-system-packages --upgrade setuptools \ + && pip install --break-system-packages -r requirements.txt \ && apt autoremove -y \ && apt clean -y \ && rm -rf /tmp/* /var/tmp/* \ From 7fee2889e6565830631fbe76d47ef85cf8fd946a Mon Sep 17 00:00:00 2001 From: Eric Curtin Date: Tue, 28 Jan 2025 15:45:41 +0100 Subject: [PATCH 055/162] Add github protocol pulling and http:// (#11465) As pulling protocols to llama-run Signed-off-by: Eric Curtin --- examples/run/run.cpp | 40 +++++++++++++++++++++++++++++++++++++++- 1 file changed, 39 insertions(+), 1 deletion(-) diff --git a/examples/run/run.cpp b/examples/run/run.cpp index 5980a786f..40f2bcb00 100644 --- a/examples/run/run.cpp +++ b/examples/run/run.cpp @@ -673,6 +673,40 @@ class LlamaData { return download(blob_url, bn, true, headers); } + int github_dl(const std::string & model, const std::string & bn) { + std::string repository = model; + std::string branch = "main"; + size_t at_pos = model.find('@'); + if (at_pos != std::string::npos) { + repository = model.substr(0, at_pos); + branch = model.substr(at_pos + 1); + } + + std::vector repo_parts; + size_t start = 0; + for (size_t end = 0; (end = repository.find('/', start)) != std::string::npos; start = end + 1) { + repo_parts.push_back(repository.substr(start, end - start)); + } + + repo_parts.push_back(repository.substr(start)); + if (repo_parts.size() < 3) { + printe("Invalid GitHub repository format\n"); + return 1; + } + + const std::string org = repo_parts[0]; + const std::string project = repo_parts[1]; + std::string project_path = repo_parts[2]; + for (size_t i = 3; i < repo_parts.size(); ++i) { + project_path += "/" + repo_parts[i]; + } + + const std::string url = + "https://raw.githubusercontent.com/" + org + "/" + project + "/" + branch + "/" + project_path; + + return download(url, bn, true); + } + std::string basename(const std::string & path) { const size_t pos = path.find_last_of("/\\"); if (pos == std::string::npos) { @@ -707,8 +741,12 @@ class LlamaData { } else if (string_starts_with(model_, "hf.co/")) { rm_until_substring(model_, "hf.co/"); ret = huggingface_dl(model_, bn); - } else if (string_starts_with(model_, "https://")) { + } else if (string_starts_with(model_, "https://") || string_starts_with(model_, "http://")) { ret = download(model_, bn, true); + } else if (string_starts_with(model_, "github:") || string_starts_with(model_, "github://")) { + rm_until_substring(model_, "github://"); + rm_until_substring(model_, "github:"); + ret = github_dl(model_, bn); } else { // ollama:// or nothing rm_until_substring(model_, "://"); ret = ollama_dl(model_, bn); From cae9fb4361138b937464524eed907328731b81f6 Mon Sep 17 00:00:00 2001 From: Nikita Sarychev <42014488+sARY77@users.noreply.github.com> Date: Tue, 28 Jan 2025 07:42:20 -0800 Subject: [PATCH 056/162] HIP: Only call rocblas_initialize on rocblas versions with the multiple instantation bug (#11080) This disables the workaround on rocblas fixed versions (>=4.0.0) to eliminate the runtime cost and unnecessary VRAM allocation of loading all tensile objects. --- ggml/src/ggml-cuda/ggml-cuda.cu | 22 ++++++++++++++++++++-- 1 file changed, 20 insertions(+), 2 deletions(-) diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index 402f37e85..de3f9c2ca 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -42,6 +42,7 @@ #include #include #include +#include #include #include #include @@ -172,8 +173,25 @@ static ggml_cuda_device_info ggml_cuda_init() { #ifdef __HIP_PLATFORM_AMD__ // Workaround for a rocBLAS bug when using multiple graphics cards: // https://github.com/ROCmSoftwarePlatform/rocBLAS/issues/1346 - rocblas_initialize(); - CUDA_CHECK(cudaDeviceSynchronize()); + { + int major_version = 0; + size_t version_length = 0; + if (rocblas_get_version_string_size(&version_length) == rocblas_status_success) { + std::string version(version_length, '\0'); + if (rocblas_get_version_string(version.data(), version.size()) == rocblas_status_success) { + version.resize(::strlen(version.c_str())); + int parsed_value = 0; + if (std::from_chars(version.c_str(), version.c_str() + version.length(), parsed_value).ec == std::errc()) { + major_version = parsed_value; + } + } + } + if (major_version < 4) { + GGML_LOG_DEBUG(GGML_CUDA_NAME " calling rocblas_initialize as a workaround for a rocBLAS bug\n"); + rocblas_initialize(); + CUDA_CHECK(cudaDeviceSynchronize()); + } + } #endif ggml_cuda_device_info info = {}; From be5ef7963fcf14a9c77c963fdd3f7b606eacb498 Mon Sep 17 00:00:00 2001 From: uvos Date: Tue, 28 Jan 2025 23:06:32 +0100 Subject: [PATCH 057/162] HIP: Supress transformation warning in softmax.cu loops with bounds not known at compile time can not be unrolled. when ncols_template == 0, the bounds of the loop are not constexpr, thus llvm cant unroll the loops here. --- ggml/src/ggml-cuda/softmax.cu | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/ggml/src/ggml-cuda/softmax.cu b/ggml/src/ggml-cuda/softmax.cu index 9aa4b8489..da377200e 100644 --- a/ggml/src/ggml-cuda/softmax.cu +++ b/ggml/src/ggml-cuda/softmax.cu @@ -13,6 +13,12 @@ __device__ float __forceinline__ t2f32(half val) { return __half2float(val); } +// When ncols_template == 0 the bounds for the loops in this function are not known and can't be unrolled. +// As we want to keep pragma unroll for all other cases we supress the clang transformation warning here. +#ifdef __clang__ +#pragma clang diagnostic push +#pragma clang diagnostic ignored "-Wpass-failed" +#endif template static __global__ void soft_max_f32( const float * x, const T * mask, float * dst, const int ncols_par, const int nrows_y, @@ -118,6 +124,9 @@ static __global__ void soft_max_f32( dst[col] = vals[col] * inv_sum; } } +#ifdef __clang__ +#pragma clang diagnostic pop +#endif static __global__ void soft_max_back_f32( const float * grad, const float * dstf, float * dst, const int ncols, const float scale) { From d0c08040b6c8bebeade7b8d5764df6cf901678d5 Mon Sep 17 00:00:00 2001 From: Xuan-Son Nguyen Date: Wed, 29 Jan 2025 00:02:56 +0100 Subject: [PATCH 058/162] ci : fix build CPU arm64 (#11472) * ci : fix build CPU arm64 * failed, trying ubuntu 22 * vulkan: ubuntu 24 * vulkan : jammy --> noble --- .devops/vulkan.Dockerfile | 4 ++-- .github/workflows/docker.yml | 5 ++--- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/.devops/vulkan.Dockerfile b/.devops/vulkan.Dockerfile index eabf832f8..9064f3838 100644 --- a/.devops/vulkan.Dockerfile +++ b/.devops/vulkan.Dockerfile @@ -1,4 +1,4 @@ -ARG UBUNTU_VERSION=22.04 +ARG UBUNTU_VERSION=24.04 FROM ubuntu:$UBUNTU_VERSION AS build @@ -7,7 +7,7 @@ RUN apt update && apt install -y git build-essential cmake wget # Install Vulkan SDK and cURL RUN wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key add - && \ - wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list && \ + wget -qO /etc/apt/sources.list.d/lunarg-vulkan-noble.list https://packages.lunarg.com/vulkan/lunarg-vulkan-noble.list && \ apt update -y && \ apt-get install -y vulkan-sdk libcurl4-openssl-dev curl diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml index 6bf22eb66..6955a7dc8 100644 --- a/.github/workflows/docker.yml +++ b/.github/workflows/docker.yml @@ -28,7 +28,7 @@ jobs: push_to_registry: name: Push Docker image to Docker Hub - runs-on: ubuntu-latest + runs-on: ubuntu-22.04 env: COMMIT_SHA: ${{ github.sha }} strategy: @@ -36,8 +36,7 @@ jobs: matrix: config: # Multi-stage build - - { tag: "cpu", dockerfile: ".devops/cpu.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, freediskspace: false} - - { tag: "cpu", dockerfile: ".devops/cpu.Dockerfile", platforms: "linux/arm64", full: true, light: true, server: true, freediskspace: false} + - { tag: "cpu", dockerfile: ".devops/cpu.Dockerfile", platforms: "linux/amd64,linux/arm64", full: true, light: true, server: true, freediskspace: false} - { tag: "cuda", dockerfile: ".devops/cuda.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, freediskspace: false} - { tag: "musa", dockerfile: ".devops/musa.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, freediskspace: false} - { tag: "intel", dockerfile: ".devops/intel.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, freediskspace: false} From cf8cc856d7d02165bd08593b4757e1256a62d501 Mon Sep 17 00:00:00 2001 From: peidaqi Date: Tue, 28 Jan 2025 16:03:42 -0700 Subject: [PATCH 059/162] server : Fixed wrong function name in llamacpp server unit test (#11473) The test_completion_stream_with_openai_library() function is actually with stream=False by default, and test_completion_with_openai_library() with stream=True --- examples/server/tests/unit/test_completion.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/server/tests/unit/test_completion.py b/examples/server/tests/unit/test_completion.py index c1fc12462..0ed5b99be 100644 --- a/examples/server/tests/unit/test_completion.py +++ b/examples/server/tests/unit/test_completion.py @@ -87,7 +87,7 @@ def test_completion_stream_vs_non_stream(): assert content_stream == res_non_stream.body["content"] -def test_completion_stream_with_openai_library(): +def test_completion_with_openai_library(): global server server.start() client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1") @@ -102,7 +102,7 @@ def test_completion_stream_with_openai_library(): assert match_regex("(going|bed)+", res.choices[0].text) -def test_completion_with_openai_library(): +def test_completion_stream_with_openai_library(): global server server.start() client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1") From 794fe23f29fb40104975c91fe19f23798f7c726e Mon Sep 17 00:00:00 2001 From: Emreerdog <34742675+Emreerdog@users.noreply.github.com> Date: Wed, 29 Jan 2025 02:22:06 +0300 Subject: [PATCH 060/162] cmake: add hints for locating ggml on Windows using Llama find-package (#11466) --- cmake/llama-config.cmake.in | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/cmake/llama-config.cmake.in b/cmake/llama-config.cmake.in index 40ade96e5..90cbec5b6 100644 --- a/cmake/llama-config.cmake.in +++ b/cmake/llama-config.cmake.in @@ -9,7 +9,7 @@ set_and_check(LLAMA_INCLUDE_DIR "@PACKAGE_LLAMA_INCLUDE_INSTALL_DIR@") set_and_check(LLAMA_LIB_DIR "@PACKAGE_LLAMA_LIB_INSTALL_DIR@") set_and_check(LLAMA_BIN_DIR "@PACKAGE_LLAMA_BIN_INSTALL_DIR@") -find_package(ggml REQUIRED) +find_package(ggml REQUIRED HINTS ${LLAMA_LIB_DIR}/cmake) find_library(llama_LIBRARY llama REQUIRED From 325afb370a1a7b32b5fe46a749bc840c66db9765 Mon Sep 17 00:00:00 2001 From: Molly Sophia Date: Wed, 29 Jan 2025 12:07:21 +0800 Subject: [PATCH 061/162] llama: fix missing k_cache store for rwkv6qwen2 (#11445) Signed-off-by: Molly Sophia --- src/llama.cpp | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/src/llama.cpp b/src/llama.cpp index 12e8f41fc..192b20a27 100644 --- a/src/llama.cpp +++ b/src/llama.cpp @@ -7700,17 +7700,13 @@ struct llm_build_context { 1 ); + struct ggml_tensor * last_norm_att = ggml_view_3d(ctx0, x_norm_att, n_embd, 1, n_seqs, x_norm_att->nb[1], x_norm_att->nb[2], (n_seq_tokens-1)*n_embd*ggml_element_size(x_norm_att)); ggml_build_forward_expand( gf, ggml_cpy( ctx0, - wkv_states, - ggml_view_1d( - ctx0, - kv_self.v_l[il], - hparams.n_embd_v_s() * n_seqs, - hparams.n_embd_v_s() * kv_head * ggml_element_size(kv_self.v_l[il]) - ) + ggml_view_1d(ctx0, last_norm_att, n_embd * n_seqs, 0), + ggml_view_1d(ctx0, kv_self.k_l[il], hparams.n_embd_k_s() * n_seqs, hparams.n_embd_k_s() * kv_head * ggml_element_size(kv_self.k_l[il])) ) ); From b636228c0ad0db95bf73008094c6145a05615cf6 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Wed, 29 Jan 2025 09:38:54 +0100 Subject: [PATCH 062/162] embedding : enable --no-warmup option (#11475) This commit enables the `--no-warmup` option for the llama-embeddings. The motivation for this change is to allow the user to disable the warmup when running the the program. --- common/arg.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/common/arg.cpp b/common/arg.cpp index a6226a34b..f5e9b294f 100644 --- a/common/arg.cpp +++ b/common/arg.cpp @@ -877,7 +877,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex [](common_params & params) { params.warmup = false; } - ).set_examples({LLAMA_EXAMPLE_MAIN, LLAMA_EXAMPLE_SERVER})); + ).set_examples({LLAMA_EXAMPLE_MAIN, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_EMBEDDING})); add_opt(common_arg( {"--spm-infill"}, string_format( From d2e518e9b4231077013ffb0e5c4cc24a0c4c1b7d Mon Sep 17 00:00:00 2001 From: issixx <46835150+issixx@users.noreply.github.com> Date: Fri, 17 Jan 2025 21:29:08 +0900 Subject: [PATCH 063/162] ggml-cpu : fix ggml_graph_compute_thread did not terminate on abort. (ggml/1065) some threads kept looping and failed to terminate properly after an abort during CPU execution. Co-authored-by: issi --- ggml/src/ggml-cpu/ggml-cpu.c | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/ggml/src/ggml-cpu/ggml-cpu.c b/ggml/src/ggml-cpu/ggml-cpu.c index 9e627da8c..e809f05d2 100644 --- a/ggml/src/ggml-cpu/ggml-cpu.c +++ b/ggml/src/ggml-cpu/ggml-cpu.c @@ -1302,7 +1302,7 @@ struct ggml_threadpool { // these are atomic as an annotation for thread-sanitizer atomic_bool stop; // Used for stopping the threadpool altogether atomic_bool pause; // Used for pausing the threadpool or individual threads - atomic_bool abort; // Used for aborting processing of a graph + atomic_int abort; // Used for aborting processing of a graph struct ggml_compute_state * workers; // per thread state int n_threads_max; // number of threads in the pool @@ -13851,14 +13851,14 @@ static thread_ret_t ggml_graph_compute_thread(void * data) { /*.threadpool=*/ tp, }; - for (int node_n = 0; node_n < cgraph->n_nodes && !tp->abort; node_n++) { + for (int node_n = 0; node_n < cgraph->n_nodes && atomic_load_explicit(&tp->abort, memory_order_relaxed) != node_n; node_n++) { struct ggml_tensor * node = cgraph->nodes[node_n]; ggml_compute_forward(¶ms, node); if (state->ith == 0 && cplan->abort_callback && cplan->abort_callback(cplan->abort_callback_data)) { - tp->abort = true; + atomic_store_explicit(&tp->abort, node_n + 1, memory_order_relaxed); tp->ec = GGML_STATUS_ABORTED; } @@ -14031,7 +14031,7 @@ static struct ggml_threadpool * ggml_threadpool_new_impl( threadpool->current_chunk = 0; threadpool->stop = false; threadpool->pause = tpp->paused; - threadpool->abort = false; + threadpool->abort = -1; threadpool->workers = NULL; threadpool->n_threads_max = tpp->n_threads; threadpool->n_threads_cur = tpp->n_threads; @@ -14110,7 +14110,7 @@ enum ggml_status ggml_graph_compute(struct ggml_cgraph * cgraph, struct ggml_cpl threadpool->cgraph = cgraph; threadpool->cplan = cplan; threadpool->current_chunk = 0; - threadpool->abort = false; + threadpool->abort = -1; threadpool->ec = GGML_STATUS_SUCCESS; } From 1a0e87d29152cb9d4ce13b4ad64b0382c9ba1ab6 Mon Sep 17 00:00:00 2001 From: William Tambellini Date: Thu, 23 Jan 2025 11:59:08 -0800 Subject: [PATCH 064/162] ggml : add option to not print stack on abort (ggml/1081) * Add option to not print stack on abort Add option/envvar to disable stack printing on abort. Also link some unittests with Threads to fix link errors on ubuntu/g++11. * Update ggml/src/ggml.c --------- Co-authored-by: Diego Devesa --- ggml/src/ggml.c | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/ggml/src/ggml.c b/ggml/src/ggml.c index 92c4294c5..3b4861542 100644 --- a/ggml/src/ggml.c +++ b/ggml/src/ggml.c @@ -128,6 +128,10 @@ static void ggml_print_backtrace_symbols(void) { #endif static void ggml_print_backtrace(void) { + const char * GGML_NO_BACKTRACE = getenv("GGML_NO_BACKTRACE"); + if (GGML_NO_BACKTRACE) { + return; + } char attach[32]; snprintf(attach, sizeof(attach), "attach %d", getpid()); int pid = fork(); From 815857791d3639a4d544d0a8cf25a49b0325c08c Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Wed, 29 Jan 2025 11:25:29 +0200 Subject: [PATCH 065/162] sync : ggml --- scripts/sync-ggml.last | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/sync-ggml.last b/scripts/sync-ggml.last index cfba59d32..ddb9d817e 100644 --- a/scripts/sync-ggml.last +++ b/scripts/sync-ggml.last @@ -1 +1 @@ -d92321c0d151fe73a47d89738c7c3091ac904297 +32f0b85987396945afea2291d5f4c5862434292b From f0d4b29edfc633ec3ba6442482a6b43a5cd80a01 Mon Sep 17 00:00:00 2001 From: Eric Curtin Date: Wed, 29 Jan 2025 12:23:10 +0100 Subject: [PATCH 066/162] Parse https://ollama.com/library/ syntax (#11480) People search for ollama models using the web ui, this change allows one to copy the url from the browser and for it to be compatible with llama-run. Signed-off-by: Eric Curtin --- examples/run/run.cpp | 40 ++++++++++++++++------------------------ 1 file changed, 16 insertions(+), 24 deletions(-) diff --git a/examples/run/run.cpp b/examples/run/run.cpp index 40f2bcb00..9cecae48c 100644 --- a/examples/run/run.cpp +++ b/examples/run/run.cpp @@ -674,36 +674,27 @@ class LlamaData { } int github_dl(const std::string & model, const std::string & bn) { - std::string repository = model; - std::string branch = "main"; - size_t at_pos = model.find('@'); + std::string repository = model; + std::string branch = "main"; + const size_t at_pos = model.find('@'); if (at_pos != std::string::npos) { repository = model.substr(0, at_pos); branch = model.substr(at_pos + 1); } - std::vector repo_parts; - size_t start = 0; - for (size_t end = 0; (end = repository.find('/', start)) != std::string::npos; start = end + 1) { - repo_parts.push_back(repository.substr(start, end - start)); - } - - repo_parts.push_back(repository.substr(start)); + const std::vector repo_parts = string_split(repository, "/"); if (repo_parts.size() < 3) { printe("Invalid GitHub repository format\n"); return 1; } - const std::string org = repo_parts[0]; - const std::string project = repo_parts[1]; - std::string project_path = repo_parts[2]; - for (size_t i = 3; i < repo_parts.size(); ++i) { - project_path += "/" + repo_parts[i]; + const std::string & org = repo_parts[0]; + const std::string & project = repo_parts[1]; + std::string url = "https://raw.githubusercontent.com/" + org + "/" + project + "/" + branch; + for (size_t i = 2; i < repo_parts.size(); ++i) { + url += "/" + repo_parts[i]; } - const std::string url = - "https://raw.githubusercontent.com/" + org + "/" + project + "/" + branch + "/" + project_path; - return download(url, bn, true); } @@ -735,19 +726,20 @@ class LlamaData { } const std::string bn = basename(model_); - if (string_starts_with(model_, "hf://") || string_starts_with(model_, "huggingface://")) { + if (string_starts_with(model_, "hf://") || string_starts_with(model_, "huggingface://") || + string_starts_with(model_, "hf.co/")) { + rm_until_substring(model_, "hf.co/"); rm_until_substring(model_, "://"); ret = huggingface_dl(model_, bn); - } else if (string_starts_with(model_, "hf.co/")) { - rm_until_substring(model_, "hf.co/"); - ret = huggingface_dl(model_, bn); - } else if (string_starts_with(model_, "https://") || string_starts_with(model_, "http://")) { + } else if ((string_starts_with(model_, "https://") || string_starts_with(model_, "http://")) && + !string_starts_with(model_, "https://ollama.com/library/")) { ret = download(model_, bn, true); } else if (string_starts_with(model_, "github:") || string_starts_with(model_, "github://")) { - rm_until_substring(model_, "github://"); rm_until_substring(model_, "github:"); + rm_until_substring(model_, "://"); ret = github_dl(model_, bn); } else { // ollama:// or nothing + rm_until_substring(model_, "ollama.com/library/"); rm_until_substring(model_, "://"); ret = ollama_dl(model_, bn); } From 2711d0215ff6a1ecb2202ac8c1f135bceed7057b Mon Sep 17 00:00:00 2001 From: Jeff Bolz Date: Wed, 29 Jan 2025 09:26:50 -0600 Subject: [PATCH 067/162] vulkan: Catch pipeline creation failure and print an error message (#11436) * vulkan: Catch pipeline creation failure and print an error message Also, fix some warnings from my on-demand compile change. * vulkan: fix pipeline creation logging --- ggml/src/ggml-vulkan/ggml-vulkan.cpp | 24 +++++++++++++++--------- 1 file changed, 15 insertions(+), 9 deletions(-) diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index a9d6b923c..6c7e60650 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -774,12 +774,12 @@ static uint32_t compile_count = 0; static std::mutex compile_count_mutex; static std::condition_variable compile_count_cond; -static void ggml_vk_create_pipeline_func(vk_device& device, vk_pipeline& pipeline, const std::string name, size_t spv_size, const void* spv_data, const std::string entrypoint, - uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector specialization_constants, - uint32_t align, bool disable_robustness, bool require_full_subgroups, uint32_t required_subgroup_size) { - VK_LOG_DEBUG("ggml_vk_create_pipeline(" << device->name << ", " << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << - ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << - ", " << disable_robustness << ", " << require_full_subgroups << ", " << required_subgroup_size << ")"); +static void ggml_vk_create_pipeline_func(vk_device& device, vk_pipeline& pipeline, size_t spv_size, const void* spv_data, const std::string entrypoint, + uint32_t parameter_count, std::array wg_denoms, std::vector specialization_constants, + bool disable_robustness, bool require_full_subgroups, uint32_t required_subgroup_size) { + VK_LOG_DEBUG("ggml_vk_create_pipeline(" << device->name << ", " << pipeline->name << ", " << entrypoint << ", " << parameter_count << + ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << + disable_robustness << ", " << require_full_subgroups << ", " << required_subgroup_size << ")"); GGML_ASSERT(parameter_count > 0); GGML_ASSERT(wg_denoms[0] > 0 && wg_denoms[1] > 0 && wg_denoms[2] > 0); // NOLINT @@ -864,7 +864,13 @@ static void ggml_vk_create_pipeline_func(vk_device& device, vk_pipeline& pipelin compute_pipeline_create_info.setPNext(&rci); } - pipeline->pipeline = device->device.createComputePipeline(VK_NULL_HANDLE, compute_pipeline_create_info).value; + try { + pipeline->pipeline = device->device.createComputePipeline(VK_NULL_HANDLE, compute_pipeline_create_info).value; + } catch (const vk::SystemError& e) { + std::cerr << "ggml_vulkan: Compute pipeline creation failed for " << pipeline->name << std::endl; + std::cerr << "ggml_vulkan: " << e.what() << std::endl; + throw e; + } pipeline->compiled = true; { @@ -1560,8 +1566,8 @@ static void ggml_vk_load_shaders(vk_device& device) { } compile_count++; } - compiles.push_back(std::async(ggml_vk_create_pipeline_func, std::ref(device), std::ref(pipeline), name, spv_size, spv_data, entrypoint, - parameter_count, push_constant_size, wg_denoms, specialization_constants, align, disable_robustness, require_full_subgroups, required_subgroup_size)); + compiles.push_back(std::async(ggml_vk_create_pipeline_func, std::ref(device), std::ref(pipeline), spv_size, spv_data, entrypoint, + parameter_count, wg_denoms, specialization_constants, disable_robustness, require_full_subgroups, required_subgroup_size)); }; #if defined(VK_NV_cooperative_matrix2) && defined(GGML_VULKAN_COOPMAT2_GLSLC_SUPPORT) From e51c47b401f8cb5f21630a05171e2529cde4d186 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Wed, 29 Jan 2025 16:34:18 +0100 Subject: [PATCH 068/162] server : update auto gen files comments [no ci] (#11484) * server : update auto gen files comments This commit updates the 'auto generated files' comments in server.cpp and removes `deps.sh` from the comment. The motivation for this change is that `deps.sh` was removed in Commit 91c36c269bca75b2d08119c653512cd20b4ea2ba ("server : (web ui) Various improvements, now use vite as bundler (#10599)"). * squash! server : update auto gen files comments [no ci] Move comments about file generation to README.md. * squash! server : update auto gen files comments [no ci] Remove the comments in server.cpp that mention that information can be found in the README.md file. --- examples/server/README.md | 6 +++++- examples/server/server.cpp | 2 +- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/examples/server/README.md b/examples/server/README.md index 5022de672..e788d8b59 100644 --- a/examples/server/README.md +++ b/examples/server/README.md @@ -236,9 +236,13 @@ npm i # to run the dev server npm run dev -# to build the public/index.html +# to build the public/index.html.gz npm run build ``` +After `public/index.html.gz` has been generated we need to generate the c++ +headers (like build/examples/server/index.html.gz.hpp) that will be included +by server.cpp. This is done by building `llama-server` as described in the +[build](#build) section above. NOTE: if you are using the vite dev server, you can change the API base URL to llama.cpp. To do that, run this code snippet in browser's console: diff --git a/examples/server/server.cpp b/examples/server/server.cpp index b1cde2d7f..c5efbdb09 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -14,7 +14,7 @@ // mime type for sending response #define MIMETYPE_JSON "application/json; charset=utf-8" -// auto generated files (update with ./deps.sh) +// auto generated files (see README.md for details) #include "index.html.gz.hpp" #include "loading.html.hpp" From 66ee4f297cff3c7ce98b31dbc0ce909d41b9e408 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9my=20Oudompheng?= Date: Wed, 29 Jan 2025 18:29:39 +0100 Subject: [PATCH 069/162] vulkan: implement initial support for IQ2 and IQ3 quantizations (#11360) * vulkan: initial support for IQ3_S * vulkan: initial support for IQ3_XXS * vulkan: initial support for IQ2_XXS * vulkan: initial support for IQ2_XS * vulkan: optimize Q3_K by removing branches * vulkan: implement dequantize variants for coopmat2 * vulkan: initial support for IQ2_S * vulkan: vertically realign code * port failing dequant callbacks from mul_mm * Fix array length mismatches * vulkan: avoid using workgroup size before it is referenced * tests: increase timeout for Vulkan llvmpipe backend --------- Co-authored-by: Jeff Bolz --- .github/workflows/build.yml | 3 +- ggml/src/ggml-vulkan/ggml-vulkan.cpp | 157 +++- .../vulkan-shaders/copy_from_quant.comp | 4 +- .../vulkan-shaders/copy_to_quant.comp | 4 +- .../vulkan-shaders/dequant_funcs.comp | 218 +++++- .../vulkan-shaders/dequant_funcs_cm2.comp | 164 ++++ .../vulkan-shaders/dequant_iq2_s.comp | 44 ++ .../vulkan-shaders/dequant_iq2_xs.comp | 43 + .../vulkan-shaders/dequant_iq2_xxs.comp | 48 ++ .../vulkan-shaders/dequant_iq3_s.comp | 39 + .../vulkan-shaders/dequant_iq3_xxs.comp | 49 ++ .../vulkan-shaders/dequant_iq4_nl.comp | 2 +- .../vulkan-shaders/flash_attn_cm2.comp | 4 +- .../vulkan-shaders/get_rows_quant.comp | 4 +- .../vulkan-shaders/mul_mat_vec.comp | 4 +- .../ggml-vulkan/vulkan-shaders/mul_mm.comp | 122 ++- .../vulkan-shaders/mul_mm_cm2.comp | 4 +- .../src/ggml-vulkan/vulkan-shaders/types.comp | 738 +++++++++++++++++- .../vulkan-shaders/vulkan-shaders-gen.cpp | 5 + 19 files changed, 1616 insertions(+), 40 deletions(-) create mode 100644 ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq2_s.comp create mode 100644 ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq2_xs.comp create mode 100644 ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq2_xxs.comp create mode 100644 ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq3_s.comp create mode 100644 ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq3_xxs.comp diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index cd8422f8a..7eaf9c460 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -346,7 +346,8 @@ jobs: id: cmake_test run: | cd build - ctest -L main --verbose --timeout 900 + # This is using llvmpipe and runs slower than other backends + ctest -L main --verbose --timeout 1800 ubuntu-22-cmake-hip: runs-on: ubuntu-22.04 diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index 6c7e60650..9ca3959ab 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -1616,6 +1616,11 @@ static void ggml_vk_load_shaders(vk_device& device) { //CREATE_FA(GGML_TYPE_Q4_K, q4_k) //CREATE_FA(GGML_TYPE_Q5_K, q5_k) //CREATE_FA(GGML_TYPE_Q6_K, q6_k) + //CREATE_FA(GGML_TYPE_IQ2_XXS, iq2_xxs) + //CREATE_FA(GGML_TYPE_IQ2_XS, iq2_xs) + //CREATE_FA(GGML_TYPE_IQ2_S, iq2_s) + //CREATE_FA(GGML_TYPE_IQ3_XXS, iq3_xxs) + //CREATE_FA(GGML_TYPE_IQ3_S, iq3_s) CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl) #undef CREATE_FA @@ -1644,7 +1649,12 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_Q4_K].f16acc, matmul_q4_k_f16, _f16acc, mmq_wg_denoms_k, warptile_mmq_k, vk_mat_mat_push_constants, 3) CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_Q5_K].f16acc, matmul_q5_k_f16, _f16acc, mmq_wg_denoms_k, warptile_mmq_k, vk_mat_mat_push_constants, 3) CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_Q6_K].f16acc, matmul_q6_k_f16, _f16acc, mmq_wg_denoms_k, warptile_mmq_k, vk_mat_mat_push_constants, 3) - CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) + CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ2_XXS].f16acc, matmul_iq2_xxs_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) + CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ2_XS].f16acc, matmul_iq2_xs_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) + CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ2_S].f16acc, matmul_iq2_s_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) + CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ3_XXS].f16acc, matmul_iq3_xxs_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) + CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ3_S].f16acc, matmul_iq3_s_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) + CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) CREATE_MM2(pipeline_matmul_id_f16, matmul_id_f16, wg_denoms, warptile, vk_mat_mat_id_push_constants, 4) CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0].f16acc, matmul_id_q4_0_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) @@ -1657,7 +1667,12 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K].f16acc, matmul_id_q4_k_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K].f16acc, matmul_id_q5_k_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K].f16acc, matmul_id_q6_k_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_XXS].f16acc, matmul_id_iq2_xxs_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_XS].f16acc, matmul_id_iq2_xs_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_S].f16acc, matmul_id_iq2_s_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_XXS].f16acc, matmul_id_iq3_xxs_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_S].f16acc, matmul_id_iq3_s_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) #undef CREATE_MM #undef CREATE_MM2 } else @@ -1705,7 +1720,12 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K].f16acc, matmul_q4_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K].f16acc, matmul_q5_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K].f16acc, matmul_q6_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_XXS].f16acc, matmul_iq2_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_XS].f16acc, matmul_iq2_xs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_S].f16acc, matmul_iq2_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_XXS].f16acc, matmul_iq3_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_S].f16acc, matmul_iq3_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); } else { CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0].f16acc, matmul_q4_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1].f16acc, matmul_q4_1_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); @@ -1718,7 +1738,12 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K].f16acc, matmul_q4_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K].f16acc, matmul_q5_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K].f16acc, matmul_q6_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_XXS].f16acc, matmul_iq2_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_XS].f16acc, matmul_iq2_xs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_S].f16acc, matmul_iq2_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_XXS].f16acc, matmul_iq3_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_S].f16acc, matmul_iq3_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); } // If there's not enough shared memory for row_ids and the result tile, don't create these pipelines. @@ -1739,7 +1764,12 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K].f16acc, matmul_id_q4_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K].f16acc, matmul_id_q5_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K].f16acc, matmul_id_q6_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_XXS].f16acc, matmul_id_iq2_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_XS].f16acc, matmul_id_iq2_xs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_S].f16acc, matmul_id_iq2_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_XXS].f16acc, matmul_id_iq3_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_S].f16acc, matmul_id_iq3_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); } else { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0].f16acc, matmul_id_q4_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1].f16acc, matmul_id_q4_1_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); @@ -1752,7 +1782,12 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K].f16acc, matmul_id_q4_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K].f16acc, matmul_id_q5_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K].f16acc, matmul_id_q6_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_XXS].f16acc, matmul_id_iq2_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_XS].f16acc, matmul_id_iq2_xs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_S].f16acc, matmul_id_iq2_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_XXS].f16acc, matmul_id_iq3_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_S].f16acc, matmul_id_iq3_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); } } #undef CREATE_MM2 @@ -1796,7 +1831,12 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K].f16acc, matmul_q4_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K].f16acc, matmul_q5_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K].f16acc, matmul_q6_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_XXS].f16acc, matmul_iq2_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_XS].f16acc, matmul_iq2_xs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_S].f16acc, matmul_iq2_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_XXS].f16acc, matmul_iq3_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_S].f16acc, matmul_iq3_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); // If there's not enough shared memory for row_ids and the result tile, don't create these pipelines. if (device->mul_mat_id_s || device->mul_mat_id_m || device->mul_mat_id_l) { @@ -1815,7 +1855,12 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K].f16acc, matmul_id_q4_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K].f16acc, matmul_id_q5_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K].f16acc, matmul_id_q6_k_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_XXS].f16acc, matmul_id_iq2_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_XS].f16acc, matmul_id_iq2_xs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_S].f16acc, matmul_id_iq2_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_XXS].f16acc, matmul_id_iq3_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_S].f16acc, matmul_id_iq3_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); } #undef CREATE_MM2 #undef CREATE_MM @@ -1851,7 +1896,12 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K].f32acc, matmul_q4_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K].f32acc, matmul_q5_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K].f32acc, matmul_q6_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); - CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f32acc, matmul_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_XXS].f32acc, matmul_iq2_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_XS].f32acc, matmul_iq2_xs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_S].f32acc, matmul_iq2_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_XXS].f32acc, matmul_iq3_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_S].f32acc, matmul_iq3_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f32acc, matmul_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); // If there's not enough shared memory for row_ids and the result tile, don't create these pipelines. if (device->mul_mat_id_s || device->mul_mat_id_m || device->mul_mat_id_l) { @@ -1870,7 +1920,12 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K].f32acc, matmul_id_q4_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K].f32acc, matmul_id_q5_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K].f32acc, matmul_id_q6_k_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); - CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f32acc, matmul_id_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_XXS].f32acc, matmul_id_iq2_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_XS].f32acc, matmul_id_iq2_xs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_S].f32acc, matmul_id_iq2_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_XXS].f32acc, matmul_id_iq3_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_S].f32acc, matmul_id_iq3_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f32acc, matmul_id_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); } #undef CREATE_MM } @@ -1901,7 +1956,12 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_K][i], "mul_mat_vec_q4_k_f32_f32_"+std::to_string(i+1), mul_mat_vec_q4_k_f32_f32_len, mul_mat_vec_q4_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_K][i], "mul_mat_vec_q5_k_f32_f32_"+std::to_string(i+1), mul_mat_vec_q5_k_f32_f32_len, mul_mat_vec_q5_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q6_K][i], "mul_mat_vec_q6_k_f32_f32_"+std::to_string(i+1), mul_mat_vec_q6_k_f32_f32_len, mul_mat_vec_q6_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); - ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ4_NL][i], "mul_mat_vec_iq4_nl_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq4_nl_f32_f32_len, mul_mat_vec_iq4_nl_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {subgroup_size_16, 2*rm_stdq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ2_XXS][i], "mul_mat_vec_iq2_xxs_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq2_xxs_f32_f32_len, mul_mat_vec_iq2_xxs_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ2_XS][i], "mul_mat_vec_iq2_xs_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq2_xs_f32_f32_len, mul_mat_vec_iq2_xs_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ2_S][i], "mul_mat_vec_iq2_s_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq2_s_f32_f32_len, mul_mat_vec_iq2_s_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ3_XXS][i], "mul_mat_vec_iq3_xxs_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq3_xxs_f32_f32_len, mul_mat_vec_iq3_xxs_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ3_S][i], "mul_mat_vec_iq3_s_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq3_s_f32_f32_len, mul_mat_vec_iq3_s_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ4_NL][i], "mul_mat_vec_iq4_nl_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq4_nl_f32_f32_len, mul_mat_vec_iq4_nl_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {subgroup_size_16, 2*rm_stdq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F32 ][i], "mul_mat_vec_f32_f16_f32_"+std::to_string(i+1), mul_mat_vec_f32_f16_f32_len, mul_mat_vec_f32_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {2, 1, 1}, {device->subgroup_size, 2, i+1}, 1); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F16 ][i], "mul_mat_vec_f16_f16_f32_"+std::to_string(i+1), mul_mat_vec_f16_f16_f32_len, mul_mat_vec_f16_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {2, 1, 1}, {device->subgroup_size, 2, i+1}, 1); @@ -1915,7 +1975,12 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_K][i], "mul_mat_vec_q4_k_f16_f32_"+std::to_string(i+1), mul_mat_vec_q4_k_f16_f32_len, mul_mat_vec_q4_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_K][i], "mul_mat_vec_q5_k_f16_f32_"+std::to_string(i+1), mul_mat_vec_q5_k_f16_f32_len, mul_mat_vec_q5_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q6_K][i], "mul_mat_vec_q6_k_f16_f32_"+std::to_string(i+1), mul_mat_vec_q6_k_f16_f32_len, mul_mat_vec_q6_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); - ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ4_NL][i], "mul_mat_vec_iq4_nl_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq4_nl_f16_f32_len, mul_mat_vec_iq4_nl_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {subgroup_size_16, 2*rm_stdq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ2_XXS][i], "mul_mat_vec_iq2_xxs_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq2_xxs_f16_f32_len, mul_mat_vec_iq2_xxs_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ2_XS][i], "mul_mat_vec_iq2_xs_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq2_xs_f16_f32_len, mul_mat_vec_iq2_xs_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ2_S][i], "mul_mat_vec_iq2_s_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq2_s_f16_f32_len, mul_mat_vec_iq2_s_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ3_XXS][i], "mul_mat_vec_iq3_xxs_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq3_xxs_f16_f32_len, mul_mat_vec_iq3_xxs_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ3_S][i], "mul_mat_vec_iq3_s_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq3_s_f16_f32_len, mul_mat_vec_iq3_s_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ4_NL][i], "mul_mat_vec_iq4_nl_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq4_nl_f16_f32_len, mul_mat_vec_iq4_nl_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {subgroup_size_16, 2*rm_stdq, i+1}, 1, true); } ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F32 ], "mul_mat_vec_id_f32_f32", mul_mat_vec_id_f32_f32_len, mul_mat_vec_id_f32_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {2, 1, 1}, {device->subgroup_size, 2}, 1); @@ -1930,7 +1995,12 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_K], "mul_mat_vec_id_q4_k_f32", mul_mat_vec_id_q4_k_f32_len, mul_mat_vec_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_K], "mul_mat_vec_id_q5_k_f32", mul_mat_vec_id_q5_k_f32_len, mul_mat_vec_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q6_K], "mul_mat_vec_id_q6_k_f32", mul_mat_vec_id_q6_k_f32_len, mul_mat_vec_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); - ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ4_NL], "mul_mat_vec_id_iq4_nl_f32", mul_mat_vec_id_iq4_nl_f32_len, mul_mat_vec_id_iq4_nl_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {2*rm_stdq, 1, 1}, {subgroup_size_16, 2*rm_stdq}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ2_XXS], "mul_mat_vec_id_iq2_xxs_f32", mul_mat_vec_id_iq2_xxs_f32_len, mul_mat_vec_id_iq2_xxs_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ2_XS], "mul_mat_vec_id_iq2_xs_f32", mul_mat_vec_id_iq2_xs_f32_len, mul_mat_vec_id_iq2_xs_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ2_S], "mul_mat_vec_id_iq2_s_f32", mul_mat_vec_id_iq2_s_f32_len, mul_mat_vec_id_iq2_s_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ3_XXS], "mul_mat_vec_id_iq3_xxs_f32", mul_mat_vec_id_iq3_xxs_f32_len, mul_mat_vec_id_iq3_xxs_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ3_S], "mul_mat_vec_id_iq3_s_f32", mul_mat_vec_id_iq3_s_f32_len, mul_mat_vec_id_iq3_s_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ4_NL], "mul_mat_vec_id_iq4_nl_f32", mul_mat_vec_id_iq4_nl_f32_len, mul_mat_vec_id_iq4_nl_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {2*rm_stdq, 1, 1}, {subgroup_size_16, 2*rm_stdq}, 1, true); // dequant shaders ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_F32 ], "f32_to_f16", dequant_f32_len, dequant_f32_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); @@ -1944,7 +2014,12 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q4_K], "dequant_q4_k", dequant_q4_k_len, dequant_q4_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q5_K], "dequant_q5_k", dequant_q5_k_len, dequant_q5_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q6_K], "dequant_q6_k", dequant_q6_k_len, dequant_q6_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); - ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ4_NL], "dequant_iq4_nl", dequant_iq4_nl_len, dequant_iq4_nl_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ2_XXS], "dequant_iq2_xxs", dequant_iq2_xxs_len, dequant_iq2_xxs_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ2_XS], "dequant_iq2_xs", dequant_iq2_xs_len, dequant_iq2_xs_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ2_S], "dequant_iq2_s", dequant_iq2_s_len, dequant_iq2_s_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ3_XXS], "dequant_iq3_xxs", dequant_iq3_xxs_len, dequant_iq3_xxs_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ3_S], "dequant_iq3_s", dequant_iq3_s_len, dequant_iq3_s_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ4_NL], "dequant_iq4_nl", dequant_iq4_nl_len, dequant_iq4_nl_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); // get_rows ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_F32 ], "get_rows_f32", get_rows_f32_len, get_rows_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1); @@ -1954,7 +2029,12 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q5_0], "get_rows_q5_0", get_rows_q5_0_len, get_rows_q5_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q5_1], "get_rows_q5_1", get_rows_q5_1_len, get_rows_q5_1_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q8_0], "get_rows_q8_0", get_rows_q8_0_len, get_rows_q8_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); - ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ4_NL], "get_rows_iq4_nl", get_rows_iq4_nl_len, get_rows_iq4_nl_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ2_XXS], "get_rows_iq2_xxs", get_rows_iq2_xxs_len, get_rows_iq2_xxs_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ2_XS], "get_rows_iq2_xs", get_rows_iq2_xs_len, get_rows_iq2_xs_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ2_S], "get_rows_iq2_s", get_rows_iq2_s_len, get_rows_iq2_s_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ3_XXS], "get_rows_iq3_xxs", get_rows_iq3_xxs_len, get_rows_iq3_xxs_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ3_S], "get_rows_iq3_s", get_rows_iq3_s_len, get_rows_iq3_s_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ4_NL], "get_rows_iq4_nl", get_rows_iq4_nl_len, get_rows_iq4_nl_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_F32 ], "get_rows_f32_f32", get_rows_f32_f32_len, get_rows_f32_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_F16 ], "get_rows_f16_f32", get_rows_f16_f32_len, get_rows_f16_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1); @@ -1963,7 +2043,12 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q5_0], "get_rows_q5_0_f32", get_rows_q5_0_f32_len, get_rows_q5_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q5_1], "get_rows_q5_1_f32", get_rows_q5_1_f32_len, get_rows_q5_1_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q8_0], "get_rows_q8_0_f32", get_rows_q8_0_f32_len, get_rows_q8_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); - ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ4_NL], "get_rows_iq4_nl_f32", get_rows_iq4_nl_f32_len, get_rows_iq4_nl_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ2_XXS], "get_rows_iq2_xxs_f32", get_rows_iq2_xxs_f32_len, get_rows_iq2_xxs_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ2_XS], "get_rows_iq2_xs_f32", get_rows_iq2_xs_f32_len, get_rows_iq2_xs_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ2_S], "get_rows_iq2_s_f32", get_rows_iq2_s_f32_len, get_rows_iq2_s_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ3_XXS], "get_rows_iq3_xxs_f32", get_rows_iq3_xxs_f32_len, get_rows_iq3_xxs_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ3_S], "get_rows_iq3_s_f32", get_rows_iq3_s_f32_len, get_rows_iq3_s_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ4_NL], "get_rows_iq4_nl_f32", get_rows_iq4_nl_f32_len, get_rows_iq4_nl_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_matmul_split_k_reduce, "split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 2 * sizeof(uint32_t), {256 * 4, 1, 1}, {}, 1); @@ -2890,6 +2975,11 @@ static vk_pipeline ggml_vk_get_to_fp16(ggml_backend_vk_context * ctx, ggml_type case GGML_TYPE_Q4_K: case GGML_TYPE_Q5_K: case GGML_TYPE_Q6_K: + case GGML_TYPE_IQ2_XXS: + case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ2_S: + case GGML_TYPE_IQ3_XXS: + case GGML_TYPE_IQ3_S: case GGML_TYPE_IQ4_NL: break; default: @@ -2938,6 +3028,11 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_pipeline(ggml_backend_vk_conte case GGML_TYPE_Q4_K: case GGML_TYPE_Q5_K: case GGML_TYPE_Q6_K: + case GGML_TYPE_IQ2_XXS: + case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ2_S: + case GGML_TYPE_IQ3_XXS: + case GGML_TYPE_IQ3_S: case GGML_TYPE_IQ4_NL: break; default: @@ -2969,6 +3064,11 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec(ggml_backend_vk_context * case GGML_TYPE_Q4_K: case GGML_TYPE_Q5_K: case GGML_TYPE_Q6_K: + case GGML_TYPE_IQ2_XXS: + case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ2_S: + case GGML_TYPE_IQ3_XXS: + case GGML_TYPE_IQ3_S: case GGML_TYPE_IQ4_NL: break; default: @@ -3012,6 +3112,11 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_id_pipeline(ggml_backend_vk_co case GGML_TYPE_Q4_K: case GGML_TYPE_Q5_K: case GGML_TYPE_Q6_K: + case GGML_TYPE_IQ2_XXS: + case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ2_S: + case GGML_TYPE_IQ3_XXS: + case GGML_TYPE_IQ3_S: case GGML_TYPE_IQ4_NL: break; default: @@ -3038,6 +3143,11 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec_id(ggml_backend_vk_context case GGML_TYPE_Q4_K: case GGML_TYPE_Q5_K: case GGML_TYPE_Q6_K: + case GGML_TYPE_IQ2_XXS: + case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ2_S: + case GGML_TYPE_IQ3_XXS: + case GGML_TYPE_IQ3_S: case GGML_TYPE_IQ4_NL: break; default: @@ -7907,6 +8017,11 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm case GGML_TYPE_Q4_K: case GGML_TYPE_Q5_K: case GGML_TYPE_Q6_K: + case GGML_TYPE_IQ2_XXS: + case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ2_S: + case GGML_TYPE_IQ3_XXS: + case GGML_TYPE_IQ3_S: case GGML_TYPE_IQ4_NL: break; default: @@ -7975,6 +8090,11 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm //case GGML_TYPE_Q4_K: //case GGML_TYPE_Q5_K: //case GGML_TYPE_Q6_K: + //case GGML_TYPE_IQ2_XXS: + //case GGML_TYPE_IQ2_XS: + //case GGML_TYPE_IQ2_S: + //case GGML_TYPE_IQ3_XXS: + //case GGML_TYPE_IQ3_S: case GGML_TYPE_IQ4_NL: break; default: @@ -7992,6 +8112,11 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm case GGML_TYPE_Q5_0: case GGML_TYPE_Q5_1: case GGML_TYPE_Q8_0: + case GGML_TYPE_IQ2_XXS: + case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ2_S: + case GGML_TYPE_IQ3_XXS: + case GGML_TYPE_IQ3_S: case GGML_TYPE_IQ4_NL: return true; default: diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp b/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp index c09bf496b..aeae5400d 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp @@ -12,8 +12,8 @@ layout(local_size_x = 1, local_size_y = 1, local_size_z = 1) in; #endif void main() { -#if defined(DATA_A_IQ4_NL) - init_iq4nl_shmem(); +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) + init_iq_shmem(gl_WorkGroupSize); if (gl_LocalInvocationIndex.x != 0) { return; } diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp b/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp index ccf5b980a..d4b068e61 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp @@ -217,8 +217,8 @@ void quantize(uint dst_idx, uint src_idx) #endif void main() { -#if defined(DATA_A_IQ4_NL) - init_iq4nl_shmem(); +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) + init_iq_shmem(gl_WorkGroupSize); if (gl_LocalInvocationIndex.x != 0) { return; } diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.comp index 91bb8f8db..ee6877531 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.comp @@ -88,6 +88,222 @@ vec4 dequantize4(uint ib, uint iqs, uint a_offset) { } #endif +#if defined(DATA_A_IQ2_XXS) +vec2 dequantize(uint ib, uint iqs, uint a_offset) { + const uint ib32 = iqs / 32; + const uint ib8 = (iqs / 8) % 4; + const uint qs = data_a[a_offset + ib].qs[8 * ib32 + ib8]; + // Scales are stored as packed 7+7+7+7+4 bits (4 sign tuples and 1 int4 scale) + const uint signs = pack32(u16vec2(data_a_packed16[a_offset + ib].qs[4 * ib32 + 2], + data_a_packed16[a_offset + ib].qs[4 * ib32 + 3])); + const float db = 0.25 * (0.5 + (signs >> 28)); + const uint sign7 = bitfieldExtract(signs, 7 * int(ib8), 7); + // Add parity bit + const uint sign8 = sign7 | (bitCount(sign7) << 7); + const uint sign = sign8 >> (iqs % 8); + const u8vec4 grid = unpack8(iq2xxs_grid[qs][(iqs % 8) / 4] >> (8 * (iqs % 4))); + bool sign0 = (sign & 1) != 0; + bool sign1 = (sign & 2) != 0; + return db * vec2( + grid.x * (sign0 ? -1.0 : 1.0), + grid.y * (sign1 ? -1.0 : 1.0) + ); +} +vec4 dequantize4(uint ib, uint iqs, uint a_offset) { + const uint ib32 = iqs / 32; + const uint ib8 = (iqs / 8) % 4; + const uint qs = data_a[a_offset + ib].qs[8 * ib32 + ib8]; + // Scales are stored as packed 7+7+7+7+4 bits (4 sign tuples and 1 int4 scale) + const uint signs = pack32(u16vec2(data_a_packed16[a_offset + ib].qs[4 * ib32 + 2], + data_a_packed16[a_offset + ib].qs[4 * ib32 + 3])); + const float db = 0.25 * (0.5 + (signs >> 28)); + const uint sign7 = bitfieldExtract(signs, 7 * int(ib8), 7); + // Add parity bit + const uint sign8 = sign7 | (bitCount(sign7) << 7); + const uint sign = sign8 >> (iqs % 8); + const u8vec4 grid = unpack8(iq2xxs_grid[qs][(iqs % 8) / 4] >> (8 * (iqs % 4))); + bool sign0 = (sign & 1) != 0; + bool sign1 = (sign & 2) != 0; + bool sign2 = (sign & 4) != 0; + bool sign3 = (sign & 8) != 0; + return db * vec4( + grid.x * (sign0 ? -1.0 : 1.0), + grid.y * (sign1 ? -1.0 : 1.0), + grid.z * (sign2 ? -1.0 : 1.0), + grid.w * (sign3 ? -1.0 : 1.0) + ); +} +#endif + +#if defined(DATA_A_IQ2_XS) +vec2 dequantize(uint ib, uint iqs, uint a_offset) { + const uint scale = (data_a[a_offset + ib].scales[iqs / 32] >> (4 * ((iqs / 16) & 1))) & 0xf; + const uint qs = data_a[a_offset + ib].qs[iqs / 8]; + const float db = 0.25 * (0.5 + scale); + const uint sign7 = qs >> 9; + // Add parity bit + const uint sign8 = sign7 | (bitCount(sign7) << 7); + const uint sign = sign8 >> (iqs % 8); + const u8vec4 grid = unpack8(iq2xs_grid[qs & 511][(iqs % 8) / 4] >> (8 * (iqs % 4))); + bool sign0 = (sign & 1) != 0; + bool sign1 = (sign & 2) != 0; + return db * vec2( + grid.x * (sign0 ? -1.0 : 1.0), + grid.y * (sign1 ? -1.0 : 1.0) + ); +} +vec4 dequantize4(uint ib, uint iqs, uint a_offset) { + const uint scale = (data_a[a_offset + ib].scales[iqs / 32] >> (4 * ((iqs / 16) & 1))) & 0xf; + const uint qs = data_a[a_offset + ib].qs[iqs / 8]; + const float db = 0.25 * (0.5 + scale); + const uint sign7 = qs >> 9; + // Add parity bit + const uint sign8 = sign7 | (bitCount(sign7) << 7); + const uint sign = sign8 >> (iqs % 8); + const u8vec4 grid = unpack8(iq2xs_grid[qs & 511][(iqs % 8) / 4] >> (8 * (iqs % 4))); + bool sign0 = (sign & 1) != 0; + bool sign1 = (sign & 2) != 0; + bool sign2 = (sign & 4) != 0; + bool sign3 = (sign & 8) != 0; + return db * vec4( + grid.x * (sign0 ? -1.0 : 1.0), + grid.y * (sign1 ? -1.0 : 1.0), + grid.z * (sign2 ? -1.0 : 1.0), + grid.w * (sign3 ? -1.0 : 1.0) + ); +} +#endif + +#if defined(DATA_A_IQ2_S) +vec2 dequantize(uint ib, uint iqs, uint a_offset) { + const uint ib32 = iqs / 32; + const uint ib8 = iqs / 8; + + const uint scale = (data_a[a_offset + ib].scales[ib32] >> (4 * ((iqs / 16) & 1))) & 0xf; + const uint qs = data_a[a_offset + ib].qs[ib8]; + const uint qh = data_a[a_offset + ib].qh[ib32]; + const uint qhshift = 2 * (ib8 % 4); + const uint sign = data_a[a_offset + ib].qs[QUANT_K / 8 + ib8] >> (iqs % 8); + + const float db = 0.25 * (0.5 + scale); + const u8vec4 grid = unpack8(iq2s_grid[qs | ((qh << (8 - qhshift)) & 0x300)][(iqs % 8) / 4]); + bool sign0 = (sign & 1) != 0; + bool sign1 = (sign & 2) != 0; + return db * vec2( + grid[iqs % 4] * (sign0 ? -1.0 : 1.0), + grid[(iqs % 4) + 1] * (sign1 ? -1.0 : 1.0) + ); +} +vec4 dequantize4(uint ib, uint iqs, uint a_offset) { + const uint ib32 = iqs / 32; + const uint ib8 = iqs / 8; + + const uint scale = (data_a[a_offset + ib].scales[ib32] >> (4 * ((iqs / 16) & 1))) & 0xf; + const uint qs = data_a[a_offset + ib].qs[ib8]; + const uint qh = data_a[a_offset + ib].qh[ib32]; + const uint qhshift = 2 * (ib8 % 4); + const uint sign = data_a[a_offset + ib].qs[QUANT_K / 8 + ib8] >> (iqs % 8); + + const float db = 0.25 * (0.5 + scale); + const u8vec4 grid = unpack8(iq2s_grid[qs | ((qh << (8 - qhshift)) & 0x300)][(iqs % 8) / 4]); + bool sign0 = (sign & 1) != 0; + bool sign1 = (sign & 2) != 0; + bool sign2 = (sign & 4) != 0; + bool sign3 = (sign & 8) != 0; + return db * vec4( + grid.x * (sign0 ? -1.0 : 1.0), + grid.y * (sign1 ? -1.0 : 1.0), + grid.z * (sign2 ? -1.0 : 1.0), + grid.w * (sign3 ? -1.0 : 1.0) + ); +} +#endif + +#if defined(DATA_A_IQ3_XXS) +vec2 dequantize(uint ib, uint iqs, uint a_offset) { + const uint ib4 = iqs / 4; + const uint ib32 = iqs / 32; + const uint is = QUANT_K / 4 + 4 * ib32; + const uint qs = data_a[a_offset + ib].qs[ib4]; + // Scales are stored as packed 7+7+7+7+4 bits (4 sign tuples and 1 int4 scale) + const uint signs = pack32(u16vec2(data_a_packed16[a_offset + ib].qs[is / 2], + data_a_packed16[a_offset + ib].qs[is / 2 + 1])); + const float db = 0.5 * (0.5 + (signs >> 28)); + const uint sign7 = bitfieldExtract(signs, 7 * (int(ib4 / 2) % 4), 7); + // Add parity bit + const uint sign8 = sign7 | (bitCount(sign7) << 7); + const uint sign = sign8 >> (iqs % 8); + const u8vec4 grid = unpack8(iq3xxs_grid[qs] >> (8 * (iqs % 4))); + bool sign0 = (sign & 1) != 0; + bool sign1 = (sign & 2) != 0; + return db * vec2( + grid.x * (sign0 ? -1.0 : 1.0), + grid.y * (sign1 ? -1.0 : 1.0) + ); +} +vec4 dequantize4(uint ib, uint iqs, uint a_offset) { + const uint ib4 = iqs / 4; + const uint ib32 = iqs / 32; + const uint is = QUANT_K / 4 + 4 * ib32; + const uint qs = data_a[a_offset + ib].qs[ib4]; + const uint signs = pack32(u16vec2(data_a_packed16[a_offset + ib].qs[is / 2], + data_a_packed16[a_offset + ib].qs[is / 2 + 1])); + const float db = 0.5 * (0.5 + (signs >> 28)); + const uint sign7 = bitfieldExtract(signs, 7 * (int(ib4 / 2) % 4), 7); + // Add parity bit + const uint sign8 = sign7 | (bitCount(sign7) << 7); + const uint sign = sign8 >> (iqs % 8); + const u8vec4 grid = unpack8(iq3xxs_grid[qs]); + bool sign0 = (sign & 1) != 0; + bool sign1 = (sign & 2) != 0; + bool sign2 = (sign & 4) != 0; + bool sign3 = (sign & 8) != 0; + return db * vec4( + grid.x * (sign0 ? -1.0 : 1.0), + grid.y * (sign1 ? -1.0 : 1.0), + grid.z * (sign2 ? -1.0 : 1.0), + grid.w * (sign3 ? -1.0 : 1.0) + ); +} +#endif + +#if defined(DATA_A_IQ3_S) +vec2 dequantize(uint ib, uint iqs, uint a_offset) { + const uint qs = data_a[a_offset + ib].qs[iqs / 4]; + const uint qh = data_a[a_offset + ib].qh[iqs / 32]; + const uint sign = data_a[a_offset + ib].signs[iqs / 8] >> (iqs % 8); + const uint scale = data_a[a_offset + ib].scales[iqs / 64]; + bool sign0 = (sign & 1) != 0; + bool sign1 = (sign & 2) != 0; + const float db = 1 + 2 * ((scale >> (4 * ((iqs / 32) & 1))) & 0xf); + const uint32_t grid = iq3s_grid[qs | ((qh << (8 - ((iqs / 4) % 8))) & 256)] >> (8 * (iqs % 4)); + return db * vec2( + int(grid & 0xFF) * (sign0 ? -1.0 : 1.0), + int((grid >> 8) & 0xFF) * (sign1 ? -1.0 : 1.0) + ); +} +vec4 dequantize4(uint ib, uint iqs, uint a_offset) { + const uint ib4 = iqs / 4; + const uint ib32 = iqs / 32; + const uint qs = data_a[a_offset + ib].qs[ib4]; + const uint qh = data_a[a_offset + ib].qh[ib32]; + const uint sign = data_a[a_offset + ib].signs[iqs / 8] >> (iqs % 8); + const uint scale = data_a[a_offset + ib].scales[ib32 / 2]; + bool sign0 = (sign & 1) != 0; + bool sign1 = (sign & 2) != 0; + bool sign2 = (sign & 4) != 0; + bool sign3 = (sign & 8) != 0; + const float db = 1 + 2 * ((scale >> (4 * (ib32 & 1))) & 0xf); + const uint32_t grid = iq3s_grid[qs | ((qh << (8 - ib4 % 8)) & 256)] >> (8 * (iqs % 4)); + return db * vec4( + int(grid & 0xFF) * (sign0 ? -1.0 : 1.0), + int((grid >> 8) & 0xFF) * (sign1 ? -1.0 : 1.0), + int((grid >> 16) & 0xFF) * (sign2 ? -1.0 : 1.0), + int((grid >> 24) & 0xFF) * (sign3 ? -1.0 : 1.0) + ); +} +#endif + #if defined(DATA_A_IQ4_NL) vec2 dequantize(uint ib, uint iqs, uint a_offset) { const uint vui = uint(data_a[a_offset + ib].qs[iqs]); @@ -105,7 +321,7 @@ vec2 get_dm(uint ib, uint a_offset) { } #endif -#if defined(DATA_A_Q4_0) || defined(DATA_A_Q5_0) || defined(DATA_A_Q8_0) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_Q4_0) || defined(DATA_A_Q5_0) || defined(DATA_A_Q8_0) || defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) vec2 get_dm(uint ib, uint a_offset) { return vec2(float(data_a[a_offset + ib].d), 0); } diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp index 175e31fa7..974efd3f9 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp @@ -301,6 +301,160 @@ float16_t dequantFuncQ6_K(const in decodeBufQ6_K bl, const in uint blockCoords[2 return ret; } +#if defined(DATA_A_IQ2_XXS) +layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ2_XXS { + block_iq2_xxs block; +}; + +layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ2_XXS_packed16 { + block_iq2_xxs_packed16 block; +}; + +float16_t dequantFuncIQ2_XXS(const in decodeBufIQ2_XXS bl, const in uint blockCoords[2], const in uint coordInBlock[2]) +{ + decodeBufIQ2_XXS_packed16 bl16 = decodeBufIQ2_XXS_packed16(bl); + const float16_t d = bl.block.d; + const uint idx = coordInBlock[1]; + + const uint ib32 = (idx & 0xE0) >> 5; // 0..7 + const uint ib8 = (idx & 0x18) >> 3; // 0..3 + const uint iqs = 8 * ib32 + ib8; + + const uint8_t qs = bl.block.qs[iqs]; + const uint signscale = pack32(u16vec2(bl16.block.qs[4*ib32+2], bl16.block.qs[4*ib32+3])); + + const float16_t dscale = bl.block.d * 0.25hf * (0.5hf + float16_t(signscale >> 28)); + uint sign = bitfieldExtract(signscale, 7 * int(ib8), 7); + sign |= bitCount(sign) << 7; + + const uint8_t g = unpack8(iq2xxs_grid[qs][(idx & 4) >> 2])[idx & 3]; + + float16_t ret = dscale * float16_t(g) * ((sign & (1 << (idx & 7))) != 0 ? -1.0hf : 1.0hf); + + return ret; +} +#endif + +#if defined(DATA_A_IQ2_XS) +layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ2_XS { + block_iq2_xs block; +}; + +float16_t dequantFuncIQ2_XS(const in decodeBufIQ2_XS bl, const in uint blockCoords[2], const in uint coordInBlock[2]) +{ + const float16_t d = bl.block.d; + const uint idx = coordInBlock[1]; + + const uint is = (idx & 0xE0) >> 5; // 0..8 + const uint sshift = (idx & 0x10) >> 2; // 0,4 + const uint iqs = (idx & 0xF8) >> 3; // 0..63 + + const uint16_t qs = bl.block.qs[iqs]; + const float16_t dscale = bl.block.d * 0.25hf * (0.5hf + float16_t((bl.block.scales[is] >> sshift) & 0xF)); + + uint sign = uint(qs >> 9); + sign |= bitCount(sign) << 7; + const uint8_t g = unpack8(iq2xs_grid[qs & 0x1FF][(idx & 4) >> 2])[idx & 3]; + + float16_t ret = dscale * float16_t(g) * ((sign & (1 << (idx & 7))) != 0 ? -1.0hf : 1.0hf); + return ret; +} +#endif + +#if defined(DATA_A_IQ2_S) +layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ2_S { + block_iq2_s block; +}; + +float16_t dequantFuncIQ2_S(const in decodeBufIQ2_S bl, const in uint blockCoords[2], const in uint coordInBlock[2]) +{ + uint idx = coordInBlock[1]; + uint lsb = idx & 1; + idx /= 2; + + const uint ib8 = (idx % 128) / 4; // 0..31 + const uint ib32 = ib8 / 4; // 0..7 + + const uint scale = (bl.block.scales[ib32] >> (2 * (ib8 & 2))) & 0xf; + const uint qs = bl.block.qs[ib8]; + const uint qh = bl.block.qh[ib32]; + const uint qhshift = 2 * (ib8 % 4); + const uint sign = bl.block.qs[QUANT_K / 8 + ib8] >> (2 * (idx % 4)); + + const float d = float(bl.block.d); + const float db = d * 0.25 * (0.5 + scale); + const i8vec2 sign01 = i8vec2(1 - (2 & i8vec2(int8_t(sign << 1), int8_t(sign)))); + const uint16_t grid = unpack16(iq2s_grid[qs | ((qh << (8 - qhshift)) & 0x300)][(idx & 2) >> 1])[idx & 1]; + const vec2 v = db * vec2(sign01) * vec2(unpack8(grid)); + return float16_t(v[lsb]); +} +#endif + +#if defined(DATA_A_IQ3_XXS) +layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ3_XXS { + block_iq3_xxs block; +}; + +layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ3_XXS_packed16 { + block_iq3_xxs_packed16 block; +}; + +float16_t dequantFuncIQ3_XXS(const in decodeBufIQ3_XXS bl, const in uint blockCoords[2], const in uint coordInBlock[2]) +{ + uint idx = coordInBlock[1]; + uint lsb = idx & 1; + idx /= 2; + + const uint iqs = (idx % 128) / 2; // 0..63 + const uint is = QUANT_K / 4 + 4 * (iqs / 8); // 8 values + + const float d = float(bl.block.d); + const uint qs = bl.block.qs[iqs]; + const uint signs = pack32(u8vec4( + bl.block.qs[is+0], + bl.block.qs[is+1], + bl.block.qs[is+2], + bl.block.qs[is+3] + )); + const float db = d * 0.5 * (0.5 + (signs >> 28)); + const uint32_t sign7 = bitfieldExtract(signs, 7 * (int(iqs / 2) % 4), 7); + const uint sign = (sign7 | (bitCount(sign7) << 7)) >> (2 * (idx % 4)); + const i8vec2 sign01 = i8vec2(1 - (2 & i8vec2(int8_t(sign << 1), int8_t(sign)))); + const uint grid = iq3xxs_grid[qs] >> (16 * (idx & 1)); + const vec2 v = db * vec2(sign01) * vec2(unpack8(grid).xy); + return float16_t(v[lsb]); +} +#endif + +#if defined(DATA_A_IQ3_S) +layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ3_S { + block_iq3_s block; +}; + +float16_t dequantFuncIQ3_S(const in decodeBufIQ3_S bl, const in uint blockCoords[2], const in uint coordInBlock[2]) +{ + uint idx = coordInBlock[1]; + uint lsb = idx & 1; + idx /= 2; + + const uint iqs = (idx % 128) / 2; // 0..63 + const uint iqh = iqs / 8; + + const float d = float(bl.block.d); + const uint qs = bl.block.qs[iqs]; + const uint qh = bl.block.qh[iqh]; + const int8_t sign = int8_t(bl.block.signs[iqs / 2] >> (2 * (idx % 4))); + const uint scale = bl.block.scales[iqs / 16]; + const i8vec2 sign01 = i8vec2(1 - (2 & i8vec2(sign << 1, sign))); + const float db = d * (1 + 2 * ((scale >> (4 * (iqh & 1))) & 0xf)); + const uint32_t grid = iq3s_grid[qs | ((qh << (8 - (iqs % 8))) & 256)] >> (16 * (idx % 2)); + const vec2 v = db * vec2(sign01) * vec2(unpack8(grid).xy); + + return float16_t(v[lsb]); +} +#endif + + #if defined(DATA_A_IQ4_NL) layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ4_NL { block_iq4_nl block; @@ -340,6 +494,16 @@ float16_t dequantFuncIQ4_NL(const in decodeBufIQ4_NL bl, const in uint blockCoor #define dequantFuncA dequantFuncQ5_K #elif defined(DATA_A_Q6_K) #define dequantFuncA dequantFuncQ6_K +#elif defined(DATA_A_IQ2_XXS) +#define dequantFuncA dequantFuncIQ2_XXS +#elif defined(DATA_A_IQ2_XS) +#define dequantFuncA dequantFuncIQ2_XS +#elif defined(DATA_A_IQ2_S) +#define dequantFuncA dequantFuncIQ2_S +#elif defined(DATA_A_IQ3_XXS) +#define dequantFuncA dequantFuncIQ3_XXS +#elif defined(DATA_A_IQ3_S) +#define dequantFuncA dequantFuncIQ3_S #elif defined(DATA_A_IQ4_NL) #define dequantFuncA dequantFuncIQ4_NL #endif diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq2_s.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq2_s.comp new file mode 100644 index 000000000..48f6b65bc --- /dev/null +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq2_s.comp @@ -0,0 +1,44 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {block_iq2_s data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + // Each thread handles 1 subblock (32 values with 2 scales) + const uint ib = gl_WorkGroupID.x * 32 + gl_LocalInvocationID.x / 8; + + init_iq_shmem(gl_WorkGroupSize); + + if (ib >= p.nel / 256) { + return; + } + + const uint ib32 = gl_LocalInvocationID.x % 8; + const uint b_idx = 256 * ib + 32 * ib32; + + const float d = float(data_a[ib].d); + const vec2 scale = vec2(data_a[ib].scales[ib32] & 0xf, data_a[ib].scales[ib32] >> 4); + const vec2 db = d * (0.5 + scale) * 0.25; + + uint qh = data_a[ib].qh[ib32]; + [[unroll]] for (uint l = 0; l < 4; ++l) { + uint qs = data_a[ib].qs[4 * ib32 + l]; + const uint8_t sign = data_a[ib].qs[QUANT_K / 8 + 4 * ib32 + l]; + qs |= (qh << (8 - 2 * l)) & 0x300; + const uvec2 grid = iq2s_grid[qs & 511]; + const u8vec4 grid0 = unpack8(grid.x); + const u8vec4 grid1 = unpack8(grid.y); + data_b[b_idx + 8 * l + 0] = D_TYPE(db[l/2] * grid0.x * ((sign & 1) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 1] = D_TYPE(db[l/2] * grid0.y * ((sign & 2) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 2] = D_TYPE(db[l/2] * grid0.z * ((sign & 4) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 3] = D_TYPE(db[l/2] * grid0.w * ((sign & 8) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 4] = D_TYPE(db[l/2] * grid1.x * ((sign & 16) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 5] = D_TYPE(db[l/2] * grid1.y * ((sign & 32) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 6] = D_TYPE(db[l/2] * grid1.z * ((sign & 64) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 7] = D_TYPE(db[l/2] * grid1.w * ((sign & 128) != 0 ? -1.0 : 1.0)); + } +} diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq2_xs.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq2_xs.comp new file mode 100644 index 000000000..a08331c40 --- /dev/null +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq2_xs.comp @@ -0,0 +1,43 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {block_iq2_xs data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + // Each thread handles 1 subblock (32 values with 2 scales) + const uint ib = gl_WorkGroupID.x * 32 + gl_LocalInvocationID.x / 8; + + init_iq_shmem(gl_WorkGroupSize); + + if (ib >= p.nel / 256) { + return; + } + + const uint ib32 = gl_LocalInvocationID.x % 8; + const uint b_idx = 256 * ib + 32 * ib32; + + const float d = float(data_a[ib].d); + const vec2 scale = vec2(data_a[ib].scales[ib32] & 0xf, data_a[ib].scales[ib32] >> 4); + const vec2 db = d * (0.5 + scale) * 0.25; + + [[unroll]] for (uint l = 0; l < 4; ++l) { + uint16_t qs = data_a[ib].qs[4 * ib32 + l]; + const uint sign7 = qs >> 9; + const uint sign8 = sign7 | (bitCount(sign7) << 7); // parity bit + const uvec2 grid = iq2xs_grid[qs & 511]; + const u8vec4 grid0 = unpack8(grid.x); + const u8vec4 grid1 = unpack8(grid.y); + data_b[b_idx + 8 * l + 0] = D_TYPE(db[l/2] * grid0.x * ((sign8 & 1) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 1] = D_TYPE(db[l/2] * grid0.y * ((sign8 & 2) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 2] = D_TYPE(db[l/2] * grid0.z * ((sign8 & 4) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 3] = D_TYPE(db[l/2] * grid0.w * ((sign8 & 8) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 4] = D_TYPE(db[l/2] * grid1.x * ((sign8 & 16) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 5] = D_TYPE(db[l/2] * grid1.y * ((sign8 & 32) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 6] = D_TYPE(db[l/2] * grid1.z * ((sign8 & 64) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 7] = D_TYPE(db[l/2] * grid1.w * ((sign8 & 128) != 0 ? -1.0 : 1.0)); + } +} diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq2_xxs.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq2_xxs.comp new file mode 100644 index 000000000..e370690bc --- /dev/null +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq2_xxs.comp @@ -0,0 +1,48 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {block_iq2_xxs data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + // Each thread handles 1 scale block (32 values) + // Each block is described by 4 lattice indices, 4x7 sign bits and 4 scale bits + const uint ib = gl_WorkGroupID.x * 32 + gl_LocalInvocationID.x / 8; + + init_iq_shmem(gl_WorkGroupSize); + + if (ib >= p.nel / 256) { + return; + } + + const uint is = gl_LocalInvocationID.x % 8; + const uint b_idx = 256 * ib + 32 * is; + + const float d = float(data_a[ib].d); + uint signscale = pack32(u8vec4( + data_a[ib].qs[8*is + 4], + data_a[ib].qs[8*is + 5], + data_a[ib].qs[8*is + 6], + data_a[ib].qs[8*is + 7] + )); + const float db = d * (0.5 + (signscale >> 28)) * 0.25; + + [[unroll]] for (uint l = 0; l < 4; ++l) { + const uint sign7 = bitfieldExtract(signscale, 7 * int(l), 7); + const uint sign8 = sign7 | (bitCount(sign7) << 7); // parity bit + const uvec2 grid = iq2xxs_grid[data_a[ib].qs[8 * is + l]]; + const u8vec4 grid0 = unpack8(grid.x); + const u8vec4 grid1 = unpack8(grid.y); + data_b[b_idx + 8 * l + 0] = D_TYPE(db * grid0.x * ((sign8 & 1) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 1] = D_TYPE(db * grid0.y * ((sign8 & 2) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 2] = D_TYPE(db * grid0.z * ((sign8 & 4) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 3] = D_TYPE(db * grid0.w * ((sign8 & 8) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 4] = D_TYPE(db * grid1.x * ((sign8 & 16) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 5] = D_TYPE(db * grid1.y * ((sign8 & 32) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 6] = D_TYPE(db * grid1.z * ((sign8 & 64) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 7] = D_TYPE(db * grid1.w * ((sign8 & 128) != 0 ? -1.0 : 1.0)); + } +} diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq3_s.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq3_s.comp new file mode 100644 index 000000000..c3f4bca5d --- /dev/null +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq3_s.comp @@ -0,0 +1,39 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {block_iq3_s data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + // Each thread handles 1 scale nibble. + // Each block contains 4 scale bytes (8 scales) for 256 output values. + const uint ib = gl_WorkGroupID.x * 32 + gl_LocalInvocationID.x / 8; + + init_iq_shmem(gl_WorkGroupSize); + + if (ib >= p.nel / 256) { + return; + } + + const uint is = gl_LocalInvocationID.x % 8; + const uint b_idx = 256 * ib + 32 * is; + + const float d = float(data_a[ib].d); + const float db = d * (1 + 2 * ((data_a[ib].scales[is] >> (4 * (is % 2))) & 0xf)); + + // We must produce 32 values using 4 sign bytes, 1 qh byte, 8 qs bytes. + uint qh = data_a[ib].qh[is]; + [[unroll]] for (uint l = 0; l < 8; ++l) { + uint qs = data_a[ib].qs[8 * is + l]; + uint gidx = qs | ((qh << (8 - l)) & 256); + uint8_t signs = data_a[ib].signs[8 * is + l / 2] >> (4 * (l & 1)); + u8vec4 grid = unpack8(iq3s_grid[gidx]); + data_b[b_idx + 4 * l + 0] = D_TYPE(db * grid.x * ((signs & 1) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 4 * l + 1] = D_TYPE(db * grid.y * ((signs & 2) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 4 * l + 2] = D_TYPE(db * grid.z * ((signs & 4) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 4 * l + 3] = D_TYPE(db * grid.w * ((signs & 8) != 0 ? -1.0 : 1.0)); + } +} diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq3_xxs.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq3_xxs.comp new file mode 100644 index 000000000..a92b82961 --- /dev/null +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq3_xxs.comp @@ -0,0 +1,49 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {block_iq3_xxs data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + // Each thread handles 1 scale block (32 values) + // 8 threads handle 1 superblock + const uint ib = gl_WorkGroupID.x * 32 + gl_LocalInvocationID.x / 8; + + init_iq_shmem(gl_WorkGroupSize); + + if (ib >= p.nel / 256) { + return; + } + + const uint is = gl_LocalInvocationID.x % 8; + const uint b_idx = 256 * ib + 32 * is; + const uint s_idx = QUANT_K / 4 + 4 * is; + + const float d = float(data_a[ib].d); + uint signscale = pack32(u8vec4( + data_a[ib].qs[s_idx + 0], + data_a[ib].qs[s_idx + 1], + data_a[ib].qs[s_idx + 2], + data_a[ib].qs[s_idx + 3] + )); + const float db = d * (0.5 + (signscale >> 28)) * 0.5; + + [[unroll]] for (uint l = 0; l < 4; ++l) { + const uint sign7 = bitfieldExtract(signscale, 7 * int(l), 7); + // Restore parity bit. + const uint sign8 = sign7 | (bitCount(sign7) << 7); + const u8vec4 grid0 = unpack8(iq3xxs_grid[data_a[ib].qs[8 * is + 2 * l]]); + const u8vec4 grid1 = unpack8(iq3xxs_grid[data_a[ib].qs[8 * is + 2 * l + 1]]); + data_b[b_idx + 8 * l + 0] = D_TYPE(db * grid0.x * ((sign8 & 1) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 1] = D_TYPE(db * grid0.y * ((sign8 & 2) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 2] = D_TYPE(db * grid0.z * ((sign8 & 4) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 3] = D_TYPE(db * grid0.w * ((sign8 & 8) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 4] = D_TYPE(db * grid1.x * ((sign8 & 16) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 5] = D_TYPE(db * grid1.y * ((sign8 & 32) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 6] = D_TYPE(db * grid1.z * ((sign8 & 64) != 0 ? -1.0 : 1.0)); + data_b[b_idx + 8 * l + 7] = D_TYPE(db * grid1.w * ((sign8 & 128) != 0 ? -1.0 : 1.0)); + } +} diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq4_nl.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq4_nl.comp index 8de14fc03..46d9ad15e 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq4_nl.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq4_nl.comp @@ -10,7 +10,7 @@ layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; void main() { const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64; - init_iq4nl_shmem(); + init_iq_shmem(gl_WorkGroupSize); const uint tid = gl_LocalInvocationID.x % 64; const uint il = tid/32; diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp index 3735d0dbb..043a53023 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp @@ -104,8 +104,8 @@ ACC_TYPE Max(const in uint32_t row, const in uint32_t col, const in ACC_TYPE ele #endif void main() { -#if defined(DATA_A_IQ4_NL) - init_iq4nl_shmem(); +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) + init_iq_shmem(gl_WorkGroupSize); #endif const uint32_t N = p.N; diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/get_rows_quant.comp b/ggml/src/ggml-vulkan/vulkan-shaders/get_rows_quant.comp index 1426fde65..09dc43d8d 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/get_rows_quant.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/get_rows_quant.comp @@ -12,8 +12,8 @@ void main() { const uint i11 = (gl_GlobalInvocationID.z)/p.ne12; const uint i12 = (gl_GlobalInvocationID.z)%p.ne12; -#if defined(DATA_A_IQ4_NL) - init_iq4nl_shmem(); +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) + init_iq_shmem(gl_WorkGroupSize); #endif if (i00 >= p.ne00) { diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec.comp index 53902858d..48156e7ba 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec.comp @@ -133,8 +133,8 @@ void compute_outputs(const uint32_t first_row, const uint32_t num_rows) { void main() { const uint first_row = NUM_ROWS * (gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z); -#if defined(DATA_A_IQ4_NL) - init_iq4nl_shmem(); +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) + init_iq_shmem(gl_WorkGroupSize); #endif // do NUM_ROWS at a time, unless there aren't enough remaining rows diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp index 48122cbef..d0559aac8 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp @@ -95,8 +95,8 @@ shared ACC_TYPE coopmat_stage[TM * TN * NUM_WARPS]; #endif void main() { -#if defined(DATA_A_IQ4_NL) - init_iq4nl_shmem(); +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) + init_iq_shmem(gl_WorkGroupSize); #endif #ifdef MUL_MAT_ID @@ -343,10 +343,8 @@ void main() { const uint qsshift = halfsplit * 2; // 0,2,4,6 const uint m = 1 << (4 * n + halfsplit); // 1,2,4,8,16,32,64,128 - const int8_t us = int8_t(is < 4 ? (data_a[ib].scales[is-0] & 0xF) | (((data_a[ib].scales[is+8] >> 0) & 3) << 4) : - is < 8 ? (data_a[ib].scales[is-0] & 0xF) | (((data_a[ib].scales[is+4] >> 2) & 3) << 4) : - is < 12 ? (data_a[ib].scales[is-8] >> 4) | (((data_a[ib].scales[is+0] >> 4) & 3) << 4) : - (data_a[ib].scales[is-8] >> 4) | (((data_a[ib].scales[is-4] >> 6) & 3) << 4)); + const int8_t us = int8_t(((data_a[ib].scales[is % 8] >> (4 * int(is / 8))) & 0xF) + | (((data_a[ib].scales[8 + (is % 4)] >> (2 * int(is / 4))) & 3) << 4)); const float dl = float(data_a[ib].d) * float(us - 32); buf_a[buf_idx ] = FLOAT_TYPE(dl * float(int8_t((data_a[ib].qs[qsi ] >> qsshift) & 3) - (((data_a[ib].hmask[hmi ] & m) != 0) ? 0 : 4))); @@ -439,6 +437,118 @@ void main() { buf_a[buf_idx ] = FLOAT_TYPE(dscale * float(int8_t(((data_a[ib].ql[qsi ] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi ] >> qhshift) & 3) << 4)) - 32)); buf_a[buf_idx + 1] = FLOAT_TYPE(dscale * float(int8_t(((data_a[ib].ql[qsi + 1] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi + 1] >> qhshift) & 3) << 4)) - 32)); +#elif defined(DATA_A_IQ2_XXS) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * SHMEM_STRIDE + loadr_a * LOAD_VEC_A; + + const uint ib = idx / 128; // 2 values per idx + const uint ib32 = (idx % 128) / 16; // 0..7 + const uint ib8 = (idx / 4) % 4; + + const float d = float(data_a[ib].d); + const uint qs = data_a[ib].qs[8 * ib32 + ib8]; + const uint signs = pack32(u8vec4( + data_a[ib].qs[8*ib32 + 4], + data_a[ib].qs[8*ib32 + 5], + data_a[ib].qs[8*ib32 + 6], + data_a[ib].qs[8*ib32 + 7] + )); + const float db = d * 0.25 * (0.5 + (signs >> 28)); + const uint32_t sign7 = bitfieldExtract(signs, 7 * int(ib8), 7); + const uint sign = (sign7 | (bitCount(sign7) << 7)) >> (2 * (idx % 4)); + const i8vec2 sign01 = i8vec2(1 - (2 & i8vec2(int8_t(sign << 1), int8_t(sign)))); + const uint grid = iq2xxs_grid[qs][(idx % 4) / 2] >> (16 * (idx & 1)); + const vec2 v = db * vec2(sign01) * vec2(unpack8(grid).xy); + + buf_a[buf_idx ] = FLOAT_TYPE(v.x); + buf_a[buf_idx + 1] = FLOAT_TYPE(v.y); +#elif defined(DATA_A_IQ2_XS) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * SHMEM_STRIDE + loadr_a * LOAD_VEC_A; + + const uint ib = idx / 128; // 2 values per idx + const uint ib32 = (idx % 128) / 16; // 0..7 + const uint ib8 = (idx / 4) % 4; // 0..3 + + const float d = float(data_a[ib].d); + const uint scale = (data_a[ib].scales[ib32] >> (2 * (ib8 & 2))) & 0xf; + const float db = d * 0.25 * (0.5 + scale); + const uint qs = data_a[ib].qs[4 * ib32 + ib8]; + const uint sign7 = qs >> 9; + const uint sign = (sign7 | (bitCount(sign7) << 7)) >> (2 * (idx % 4)); + const i8vec2 sign01 = i8vec2(1 - (2 & i8vec2(int8_t(sign << 1), int8_t(sign)))); + const uint grid = iq2xs_grid[qs & 511][(idx % 4) / 2] >> (16 * (idx & 1)); + const vec2 v = db * vec2(sign01) * vec2(unpack8(grid).xy); + + buf_a[buf_idx ] = FLOAT_TYPE(v.x); + buf_a[buf_idx + 1] = FLOAT_TYPE(v.y); +#elif defined(DATA_A_IQ2_S) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * SHMEM_STRIDE + loadr_a * LOAD_VEC_A; + + const uint ib = idx / 128; // 2 values per idx + const uint ib8 = (idx % 128) / 4; // 0..31 + const uint ib32 = ib8 / 4; // 0..7 + + const uint scale = (data_a[ib].scales[ib32] >> (2 * (ib8 & 2))) & 0xf; + const uint qs = data_a[ib].qs[ib8]; + const uint qh = data_a[ib].qh[ib32]; + const uint qhshift = 2 * (ib8 % 4); + const uint sign = data_a[ib].qs[QUANT_K / 8 + ib8] >> (2 * (idx % 4)); + + const float d = float(data_a[ib].d); + const float db = d * 0.25 * (0.5 + scale); + const i8vec2 sign01 = i8vec2(1 - (2 & i8vec2(int8_t(sign << 1), int8_t(sign)))); + const uint16_t grid = unpack16(iq2s_grid[qs | ((qh << (8 - qhshift)) & 0x300)][(idx & 2) >> 1])[idx & 1]; + const vec2 v = db * vec2(sign01) * vec2(unpack8(grid)); + + buf_a[buf_idx ] = FLOAT_TYPE(v.x); + buf_a[buf_idx + 1] = FLOAT_TYPE(v.y); +#elif defined(DATA_A_IQ3_XXS) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * SHMEM_STRIDE + loadr_a * LOAD_VEC_A; + + const uint ib = idx / 128; // 2 values per idx + const uint iqs = (idx % 128) / 2; // 0..63 + const uint is = QUANT_K / 4 + 4 * (iqs / 8); // 8 values + + const float d = float(data_a[ib].d); + const uint qs = data_a[ib].qs[iqs]; + const uint signs = pack32(u8vec4( + data_a[ib].qs[is+0], + data_a[ib].qs[is+1], + data_a[ib].qs[is+2], + data_a[ib].qs[is+3] + )); + const float db = d * 0.5 * (0.5 + (signs >> 28)); + const uint32_t sign7 = bitfieldExtract(signs, 7 * (int(iqs / 2) % 4), 7); + const uint sign = (sign7 | (bitCount(sign7) << 7)) >> (2 * (idx % 4)); + const i8vec2 sign01 = i8vec2(1 - (2 & i8vec2(int8_t(sign << 1), int8_t(sign)))); + const uint grid = iq3xxs_grid[qs] >> (16 * (idx & 1)); + const vec2 v = db * vec2(sign01) * vec2(unpack8(grid).xy); + + buf_a[buf_idx ] = FLOAT_TYPE(v.x); + buf_a[buf_idx + 1] = FLOAT_TYPE(v.y); +#elif defined(DATA_A_IQ3_S) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * SHMEM_STRIDE + loadr_a * LOAD_VEC_A; + + const uint ib = idx / 128; // 2 values per idx + const uint iqs = (idx % 128) / 2; // 0..63 + const uint iqh = iqs / 8; + + const float d = float(data_a[ib].d); + const uint qs = data_a[ib].qs[iqs]; + const uint qh = data_a[ib].qh[iqh]; + const int8_t sign = int8_t(data_a[ib].signs[iqs / 2] >> (2 * (idx % 4))); + const uint scale = data_a[ib].scales[iqs / 16]; + const i8vec2 sign01 = i8vec2(1 - (2 & i8vec2(sign << 1, sign))); + const float db = d * (1 + 2 * ((scale >> (4 * (iqh & 1))) & 0xf)); + const uint32_t grid = iq3s_grid[qs | ((qh << (8 - (iqs % 8))) & 256)] >> (16 * (idx % 2)); + const vec2 v = db * vec2(sign01) * vec2(unpack8(grid).xy); + + buf_a[buf_idx ] = FLOAT_TYPE(v.x); + buf_a[buf_idx + 1] = FLOAT_TYPE(v.y); #elif defined(DATA_A_IQ4_NL) const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; const uint buf_idx = (loadc_a + l) * SHMEM_STRIDE + loadr_a; diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp index 57f9e7245..27c5d68b3 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp @@ -106,8 +106,8 @@ D_TYPE perElemOpD(const in uint32_t r, const in uint32_t c, const in D_TYPE elem #endif void main() { -#if defined(DATA_A_IQ4_NL) - init_iq4nl_shmem(); +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) + init_iq_shmem(gl_WorkGroupSize); #endif #ifdef MUL_MAT_ID diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/types.comp b/ggml/src/ggml-vulkan/vulkan-shaders/types.comp index 1e35b6652..9e56a3530 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/types.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/types.comp @@ -294,6 +294,738 @@ struct block_q6_K_packed16 // IQuants +#define QUANT_K_IQ2_XXS 256 +#define QUANT_R_IQ2_XXS 1 + +struct block_iq2_xxs +{ + float16_t d; + uint8_t qs[QUANT_K_IQ2_XXS/4]; +}; + +struct block_iq2_xxs_packed16 +{ + float16_t d; + uint16_t qs[QUANT_K_IQ2_XXS/8]; +}; + +#if defined(DATA_A_IQ2_XXS) + +const uvec2[256] iq2xxs_grid_const = { + uvec2(0x08080808, 0x08080808), uvec2(0x0808082b, 0x08080808), uvec2(0x08081919, 0x08080808), uvec2(0x08082b08, 0x08080808), + uvec2(0x08082b2b, 0x08080808), uvec2(0x08190819, 0x08080808), uvec2(0x08191908, 0x08080808), uvec2(0x082b0808, 0x08080808), + uvec2(0x082b082b, 0x08080808), uvec2(0x082b2b08, 0x08080808), uvec2(0x082b2b2b, 0x08080808), uvec2(0x19080819, 0x08080808), + uvec2(0x19081908, 0x08080808), uvec2(0x19190808, 0x08080808), uvec2(0x19192b08, 0x08080808), uvec2(0x192b0819, 0x08080808), + uvec2(0x192b1908, 0x08080808), uvec2(0x2b080808, 0x08080808), uvec2(0x2b08082b, 0x08080808), uvec2(0x2b082b2b, 0x08080808), + uvec2(0x2b2b082b, 0x08080808), uvec2(0x08080819, 0x08080819), uvec2(0x08081908, 0x08080819), uvec2(0x08190808, 0x08080819), + uvec2(0x08191919, 0x08080819), uvec2(0x19080808, 0x08080819), uvec2(0x2b081908, 0x08080819), uvec2(0x2b192b08, 0x08080819), + uvec2(0x08080808, 0x0808082b), uvec2(0x0808082b, 0x0808082b), uvec2(0x082b082b, 0x0808082b), uvec2(0x2b08082b, 0x0808082b), + uvec2(0x08080819, 0x08081908), uvec2(0x08081908, 0x08081908), uvec2(0x08190808, 0x08081908), uvec2(0x082b0819, 0x08081908), + uvec2(0x082b1908, 0x08081908), uvec2(0x19080808, 0x08081908), uvec2(0x1908082b, 0x08081908), uvec2(0x19082b08, 0x08081908), + uvec2(0x192b0808, 0x08081908), uvec2(0x2b080819, 0x08081908), uvec2(0x2b081908, 0x08081908), uvec2(0x2b190808, 0x08081908), + uvec2(0x2b2b1908, 0x08081908), uvec2(0x08080808, 0x08081919), uvec2(0x0808082b, 0x08081919), uvec2(0x08082b08, 0x08081919), + uvec2(0x082b0808, 0x08081919), uvec2(0x1908192b, 0x08081919), uvec2(0x192b2b19, 0x08081919), uvec2(0x2b080808, 0x08081919), + uvec2(0x2b190819, 0x08081919), uvec2(0x08082b19, 0x0808192b), uvec2(0x08190808, 0x0808192b), uvec2(0x19080808, 0x0808192b), + uvec2(0x2b081908, 0x0808192b), uvec2(0x2b2b1908, 0x0808192b), uvec2(0x08080808, 0x08082b08), uvec2(0x08081919, 0x08082b08), + uvec2(0x08082b08, 0x08082b08), uvec2(0x08191908, 0x08082b08), uvec2(0x082b2b08, 0x08082b08), uvec2(0x19080819, 0x08082b08), + uvec2(0x19081908, 0x08082b08), uvec2(0x19190808, 0x08082b08), uvec2(0x1919082b, 0x08082b08), uvec2(0x2b082b08, 0x08082b08), + uvec2(0x08081908, 0x08082b19), uvec2(0x19080808, 0x08082b19), uvec2(0x0808082b, 0x08082b2b), uvec2(0x08191908, 0x08082b2b), + uvec2(0x08080819, 0x08190808), uvec2(0x08081908, 0x08190808), uvec2(0x08190808, 0x08190808), uvec2(0x082b0819, 0x08190808), + uvec2(0x19080808, 0x08190808), uvec2(0x192b0808, 0x08190808), uvec2(0x2b081908, 0x08190808), uvec2(0x2b190808, 0x08190808), + uvec2(0x2b191919, 0x08190808), uvec2(0x08080808, 0x08190819), uvec2(0x08082b08, 0x08190819), uvec2(0x082b0808, 0x08190819), + uvec2(0x19190808, 0x08190819), uvec2(0x19192b2b, 0x08190819), uvec2(0x2b080808, 0x08190819), uvec2(0x082b1908, 0x0819082b), + uvec2(0x19081919, 0x0819082b), uvec2(0x08080808, 0x08191908), uvec2(0x08082b08, 0x08191908), uvec2(0x082b0808, 0x08191908), + uvec2(0x082b1919, 0x08191908), uvec2(0x19082b19, 0x08191908), uvec2(0x2b080808, 0x08191908), uvec2(0x08192b08, 0x08191919), + uvec2(0x192b082b, 0x08191919), uvec2(0x08080808, 0x0819192b), uvec2(0x0819192b, 0x0819192b), uvec2(0x08080819, 0x08192b08), + uvec2(0x08081908, 0x08192b08), uvec2(0x08190808, 0x08192b08), uvec2(0x19080808, 0x08192b08), uvec2(0x2b080819, 0x08192b08), + uvec2(0x08080808, 0x08192b19), uvec2(0x08081919, 0x08192b19), uvec2(0x2b2b0808, 0x08192b19), uvec2(0x19190819, 0x08192b2b), + uvec2(0x08080808, 0x082b0808), uvec2(0x0808082b, 0x082b0808), uvec2(0x08082b2b, 0x082b0808), uvec2(0x19081908, 0x082b0808), + uvec2(0x192b0819, 0x082b0808), uvec2(0x2b080808, 0x082b0808), uvec2(0x2b08082b, 0x082b0808), uvec2(0x082b2b19, 0x082b0819), + uvec2(0x19082b08, 0x082b0819), uvec2(0x08080808, 0x082b082b), uvec2(0x0808082b, 0x082b082b), uvec2(0x08080819, 0x082b1908), + uvec2(0x08081908, 0x082b1908), uvec2(0x08190808, 0x082b1908), uvec2(0x19080808, 0x082b1908), uvec2(0x1919192b, 0x082b1908), + uvec2(0x08080808, 0x082b1919), uvec2(0x19080819, 0x082b1919), uvec2(0x192b1908, 0x082b1919), uvec2(0x2b190808, 0x082b192b), + uvec2(0x08082b08, 0x082b2b08), uvec2(0x082b0808, 0x082b2b08), uvec2(0x2b191908, 0x082b2b08), uvec2(0x19081908, 0x082b2b2b), + uvec2(0x08080819, 0x19080808), uvec2(0x08081908, 0x19080808), uvec2(0x08190808, 0x19080808), uvec2(0x08192b08, 0x19080808), + uvec2(0x082b0819, 0x19080808), uvec2(0x082b1908, 0x19080808), uvec2(0x19080808, 0x19080808), uvec2(0x19082b08, 0x19080808), + uvec2(0x1919192b, 0x19080808), uvec2(0x192b0808, 0x19080808), uvec2(0x2b080819, 0x19080808), uvec2(0x2b081908, 0x19080808), + uvec2(0x2b190808, 0x19080808), uvec2(0x08080808, 0x19080819), uvec2(0x082b0808, 0x19080819), uvec2(0x192b0819, 0x19080819), + uvec2(0x2b080808, 0x19080819), uvec2(0x2b081919, 0x19080819), uvec2(0x08080819, 0x1908082b), uvec2(0x08190808, 0x1908082b), + uvec2(0x19082b08, 0x1908082b), uvec2(0x1919192b, 0x1908082b), uvec2(0x192b2b08, 0x1908082b), uvec2(0x08080808, 0x19081908), + uvec2(0x08082b08, 0x19081908), uvec2(0x082b0808, 0x19081908), uvec2(0x2b080808, 0x19081908), uvec2(0x2b192b19, 0x19081908), + uvec2(0x0819082b, 0x19081919), uvec2(0x082b1908, 0x19081919), uvec2(0x08080808, 0x1908192b), uvec2(0x08080819, 0x19082b08), + uvec2(0x08081908, 0x19082b08), uvec2(0x08190808, 0x19082b08), uvec2(0x19080808, 0x19082b08), uvec2(0x19081919, 0x19082b08), + uvec2(0x08080808, 0x19082b19), uvec2(0x19192b08, 0x19082b19), uvec2(0x192b0819, 0x19082b19), uvec2(0x2b08082b, 0x19082b19), + uvec2(0x19081919, 0x19082b2b), uvec2(0x2b190808, 0x19082b2b), uvec2(0x08080808, 0x19190808), uvec2(0x08082b08, 0x19190808), + uvec2(0x08190819, 0x19190808), uvec2(0x08192b19, 0x19190808), uvec2(0x082b0808, 0x19190808), uvec2(0x2b080808, 0x19190808), + uvec2(0x2b082b08, 0x19190808), uvec2(0x08081908, 0x19190819), uvec2(0x1908082b, 0x19190819), uvec2(0x2b2b1908, 0x19190819), + uvec2(0x2b190819, 0x1919082b), uvec2(0x2b190808, 0x19191908), uvec2(0x2b19082b, 0x19191908), uvec2(0x08082b2b, 0x19191919), + uvec2(0x08080819, 0x1919192b), uvec2(0x19191908, 0x1919192b), uvec2(0x08080808, 0x19192b08), uvec2(0x08190819, 0x19192b08), + uvec2(0x08192b19, 0x19192b08), uvec2(0x192b1908, 0x19192b08), uvec2(0x19080808, 0x19192b19), uvec2(0x08082b08, 0x19192b2b), + uvec2(0x08081908, 0x192b0808), uvec2(0x08190808, 0x192b0808), uvec2(0x19080808, 0x192b0808), uvec2(0x192b2b08, 0x192b0808), + uvec2(0x08080808, 0x192b0819), uvec2(0x19191919, 0x192b0819), uvec2(0x08192b08, 0x192b082b), uvec2(0x192b0808, 0x192b082b), + uvec2(0x08080808, 0x192b1908), uvec2(0x08081919, 0x192b1908), uvec2(0x08190808, 0x192b1919), uvec2(0x0819082b, 0x192b1919), + uvec2(0x2b081908, 0x192b1919), uvec2(0x1908082b, 0x192b2b08), uvec2(0x08080808, 0x2b080808), uvec2(0x0808082b, 0x2b080808), + uvec2(0x08082b2b, 0x2b080808), uvec2(0x19080819, 0x2b080808), uvec2(0x2b08082b, 0x2b080808), uvec2(0x08081908, 0x2b080819), + uvec2(0x08192b08, 0x2b080819), uvec2(0x19080808, 0x2b080819), uvec2(0x08190819, 0x2b08082b), uvec2(0x08080819, 0x2b081908), + uvec2(0x08081908, 0x2b081908), uvec2(0x08190808, 0x2b081908), uvec2(0x08191919, 0x2b081908), uvec2(0x19080808, 0x2b081908), + uvec2(0x192b0808, 0x2b081908), uvec2(0x08080808, 0x2b081919), uvec2(0x1908192b, 0x2b081919), uvec2(0x2b191908, 0x2b081919), + uvec2(0x08082b19, 0x2b08192b), uvec2(0x19080808, 0x2b08192b), uvec2(0x192b0808, 0x2b08192b), uvec2(0x0808082b, 0x2b082b08), + uvec2(0x08081908, 0x2b082b19), uvec2(0x08190819, 0x2b082b2b), uvec2(0x08081908, 0x2b190808), uvec2(0x08190808, 0x2b190808), + uvec2(0x082b1908, 0x2b190808), uvec2(0x19080808, 0x2b190808), uvec2(0x2b2b0819, 0x2b190808), uvec2(0x0819192b, 0x2b190819), + uvec2(0x2b080808, 0x2b190819), uvec2(0x19081919, 0x2b19082b), uvec2(0x08080808, 0x2b191908), uvec2(0x082b082b, 0x2b191908), + uvec2(0x19081908, 0x2b191908), uvec2(0x19190819, 0x2b191919), uvec2(0x2b080819, 0x2b192b08), uvec2(0x082b0808, 0x2b192b19), + uvec2(0x0808082b, 0x2b2b0808), uvec2(0x19190808, 0x2b2b0808), uvec2(0x2b081919, 0x2b2b0808), uvec2(0x08082b19, 0x2b2b0819), + uvec2(0x08080808, 0x2b2b082b), uvec2(0x08192b08, 0x2b2b1908), uvec2(0x19190808, 0x2b2b2b08), uvec2(0x08081908, 0x2b2b2b19) +}; + +shared uvec2 iq2xxs_grid[256]; + +void init_iq_shmem(uvec3 wgsize) +{ + // copy the table into shared memory and sync + for (uint i = gl_LocalInvocationIndex.x; i < iq2xxs_grid.length(); i += wgsize.x) { + iq2xxs_grid[i] = iq2xxs_grid_const[i]; + } + barrier(); +} + +#define QUANT_K QUANT_K_IQ2_XXS +#define QUANT_R QUANT_R_IQ2_XXS +#define A_TYPE block_iq2_xxs +#define A_TYPE_PACKED16 block_iq2_xxs_packed16 +#endif + +#define QUANT_K_IQ2_XS 256 +#define QUANT_R_IQ2_XS 1 + +struct block_iq2_xs +{ + float16_t d; + uint16_t qs[QUANT_K_IQ2_XS/8]; + uint8_t scales[QUANT_K_IQ2_XS/32]; +}; + +struct block_iq2_xs_packed16 +{ + float16_t d; + uint16_t qs[QUANT_K_IQ2_XS/8]; + uint16_t scales[QUANT_K_IQ2_XS/64]; +}; + +#if defined(DATA_A_IQ2_XS) + +const uvec2 iq2xs_grid_const[512] = { + uvec2(0x08080808, 0x08080808), uvec2(0x0808082b, 0x08080808), uvec2(0x08081919, 0x08080808), uvec2(0x08082b08, 0x08080808), + uvec2(0x08082b2b, 0x08080808), uvec2(0x08190819, 0x08080808), uvec2(0x08191908, 0x08080808), uvec2(0x0819192b, 0x08080808), + uvec2(0x08192b19, 0x08080808), uvec2(0x082b0808, 0x08080808), uvec2(0x082b082b, 0x08080808), uvec2(0x082b1919, 0x08080808), + uvec2(0x082b2b08, 0x08080808), uvec2(0x19080819, 0x08080808), uvec2(0x19081908, 0x08080808), uvec2(0x1908192b, 0x08080808), + uvec2(0x19082b19, 0x08080808), uvec2(0x19190808, 0x08080808), uvec2(0x1919082b, 0x08080808), uvec2(0x19191919, 0x08080808), + uvec2(0x19192b08, 0x08080808), uvec2(0x192b0819, 0x08080808), uvec2(0x192b1908, 0x08080808), uvec2(0x2b080808, 0x08080808), + uvec2(0x2b08082b, 0x08080808), uvec2(0x2b081919, 0x08080808), uvec2(0x2b082b08, 0x08080808), uvec2(0x2b190819, 0x08080808), + uvec2(0x2b191908, 0x08080808), uvec2(0x2b192b19, 0x08080808), uvec2(0x2b2b0808, 0x08080808), uvec2(0x08080819, 0x08080819), + uvec2(0x08081908, 0x08080819), uvec2(0x0808192b, 0x08080819), uvec2(0x08082b19, 0x08080819), uvec2(0x08190808, 0x08080819), + uvec2(0x0819082b, 0x08080819), uvec2(0x08191919, 0x08080819), uvec2(0x08192b08, 0x08080819), uvec2(0x08192b2b, 0x08080819), + uvec2(0x082b0819, 0x08080819), uvec2(0x082b1908, 0x08080819), uvec2(0x19080808, 0x08080819), uvec2(0x1908082b, 0x08080819), + uvec2(0x19081919, 0x08080819), uvec2(0x19082b08, 0x08080819), uvec2(0x19190819, 0x08080819), uvec2(0x19191908, 0x08080819), + uvec2(0x192b0808, 0x08080819), uvec2(0x192b2b08, 0x08080819), uvec2(0x2b080819, 0x08080819), uvec2(0x2b081908, 0x08080819), + uvec2(0x2b190808, 0x08080819), uvec2(0x08080808, 0x0808082b), uvec2(0x0808082b, 0x0808082b), uvec2(0x08081919, 0x0808082b), + uvec2(0x08082b08, 0x0808082b), uvec2(0x08190819, 0x0808082b), uvec2(0x08191908, 0x0808082b), uvec2(0x082b0808, 0x0808082b), + uvec2(0x19080819, 0x0808082b), uvec2(0x19081908, 0x0808082b), uvec2(0x19190808, 0x0808082b), uvec2(0x19191919, 0x0808082b), + uvec2(0x2b080808, 0x0808082b), uvec2(0x2b082b2b, 0x0808082b), uvec2(0x08080819, 0x08081908), uvec2(0x08081908, 0x08081908), + uvec2(0x0808192b, 0x08081908), uvec2(0x08082b19, 0x08081908), uvec2(0x08190808, 0x08081908), uvec2(0x0819082b, 0x08081908), + uvec2(0x08191919, 0x08081908), uvec2(0x08192b08, 0x08081908), uvec2(0x082b0819, 0x08081908), uvec2(0x082b1908, 0x08081908), + uvec2(0x19080808, 0x08081908), uvec2(0x1908082b, 0x08081908), uvec2(0x19081919, 0x08081908), uvec2(0x19082b08, 0x08081908), + uvec2(0x19190819, 0x08081908), uvec2(0x19191908, 0x08081908), uvec2(0x1919192b, 0x08081908), uvec2(0x192b0808, 0x08081908), + uvec2(0x2b080819, 0x08081908), uvec2(0x2b081908, 0x08081908), uvec2(0x2b190808, 0x08081908), uvec2(0x08080808, 0x08081919), + uvec2(0x0808082b, 0x08081919), uvec2(0x08081919, 0x08081919), uvec2(0x08082b08, 0x08081919), uvec2(0x08190819, 0x08081919), + uvec2(0x08191908, 0x08081919), uvec2(0x082b0808, 0x08081919), uvec2(0x19080819, 0x08081919), uvec2(0x19081908, 0x08081919), + uvec2(0x19190808, 0x08081919), uvec2(0x192b0819, 0x08081919), uvec2(0x2b080808, 0x08081919), uvec2(0x08080819, 0x0808192b), + uvec2(0x08081908, 0x0808192b), uvec2(0x08190808, 0x0808192b), uvec2(0x082b192b, 0x0808192b), uvec2(0x19080808, 0x0808192b), + uvec2(0x1908082b, 0x0808192b), uvec2(0x2b081908, 0x0808192b), uvec2(0x08080808, 0x08082b08), uvec2(0x0808082b, 0x08082b08), + uvec2(0x08081919, 0x08082b08), uvec2(0x08082b08, 0x08082b08), uvec2(0x08082b2b, 0x08082b08), uvec2(0x08190819, 0x08082b08), + uvec2(0x08191908, 0x08082b08), uvec2(0x082b0808, 0x08082b08), uvec2(0x082b1919, 0x08082b08), uvec2(0x19080819, 0x08082b08), + uvec2(0x19081908, 0x08082b08), uvec2(0x19190808, 0x08082b08), uvec2(0x19192b08, 0x08082b08), uvec2(0x2b080808, 0x08082b08), + uvec2(0x2b2b0808, 0x08082b08), uvec2(0x2b2b2b2b, 0x08082b08), uvec2(0x08080819, 0x08082b19), uvec2(0x08081908, 0x08082b19), + uvec2(0x08190808, 0x08082b19), uvec2(0x19080808, 0x08082b19), uvec2(0x2b080819, 0x08082b19), uvec2(0x2b082b19, 0x08082b19), + uvec2(0x08080808, 0x08082b2b), uvec2(0x082b0808, 0x08082b2b), uvec2(0x082b2b08, 0x08082b2b), uvec2(0x2b19192b, 0x08082b2b), + uvec2(0x2b2b0808, 0x08082b2b), uvec2(0x08080819, 0x08190808), uvec2(0x08081908, 0x08190808), uvec2(0x0808192b, 0x08190808), + uvec2(0x08082b19, 0x08190808), uvec2(0x08190808, 0x08190808), uvec2(0x0819082b, 0x08190808), uvec2(0x08191919, 0x08190808), + uvec2(0x08192b08, 0x08190808), uvec2(0x082b0819, 0x08190808), uvec2(0x082b1908, 0x08190808), uvec2(0x19080808, 0x08190808), + uvec2(0x1908082b, 0x08190808), uvec2(0x19081919, 0x08190808), uvec2(0x19082b08, 0x08190808), uvec2(0x19190819, 0x08190808), + uvec2(0x19191908, 0x08190808), uvec2(0x192b0808, 0x08190808), uvec2(0x192b2b2b, 0x08190808), uvec2(0x2b080819, 0x08190808), + uvec2(0x2b081908, 0x08190808), uvec2(0x2b190808, 0x08190808), uvec2(0x08080808, 0x08190819), uvec2(0x0808082b, 0x08190819), + uvec2(0x08081919, 0x08190819), uvec2(0x08082b08, 0x08190819), uvec2(0x08190819, 0x08190819), uvec2(0x08191908, 0x08190819), + uvec2(0x082b0808, 0x08190819), uvec2(0x19080819, 0x08190819), uvec2(0x19081908, 0x08190819), uvec2(0x19190808, 0x08190819), + uvec2(0x2b080808, 0x08190819), uvec2(0x2b191908, 0x08190819), uvec2(0x2b19192b, 0x08190819), uvec2(0x08080819, 0x0819082b), + uvec2(0x08081908, 0x0819082b), uvec2(0x0808192b, 0x0819082b), uvec2(0x08190808, 0x0819082b), uvec2(0x19080808, 0x0819082b), + uvec2(0x192b0808, 0x0819082b), uvec2(0x08080808, 0x08191908), uvec2(0x0808082b, 0x08191908), uvec2(0x08081919, 0x08191908), + uvec2(0x08082b08, 0x08191908), uvec2(0x08190819, 0x08191908), uvec2(0x08191908, 0x08191908), uvec2(0x082b0808, 0x08191908), + uvec2(0x19080819, 0x08191908), uvec2(0x19081908, 0x08191908), uvec2(0x19082b19, 0x08191908), uvec2(0x19190808, 0x08191908), + uvec2(0x192b1908, 0x08191908), uvec2(0x2b080808, 0x08191908), uvec2(0x08080819, 0x08191919), uvec2(0x08081908, 0x08191919), + uvec2(0x08190808, 0x08191919), uvec2(0x19080808, 0x08191919), uvec2(0x08080808, 0x0819192b), uvec2(0x08191908, 0x0819192b), + uvec2(0x19082b19, 0x0819192b), uvec2(0x08080819, 0x08192b08), uvec2(0x08081908, 0x08192b08), uvec2(0x08190808, 0x08192b08), + uvec2(0x0819082b, 0x08192b08), uvec2(0x19080808, 0x08192b08), uvec2(0x19191908, 0x08192b08), uvec2(0x2b08192b, 0x08192b08), + uvec2(0x08080808, 0x08192b19), uvec2(0x08081919, 0x08192b19), uvec2(0x192b192b, 0x08192b19), uvec2(0x19190819, 0x08192b2b), + uvec2(0x2b2b2b19, 0x08192b2b), uvec2(0x08080808, 0x082b0808), uvec2(0x0808082b, 0x082b0808), uvec2(0x08081919, 0x082b0808), + uvec2(0x08082b08, 0x082b0808), uvec2(0x08082b2b, 0x082b0808), uvec2(0x08190819, 0x082b0808), uvec2(0x08191908, 0x082b0808), + uvec2(0x082b0808, 0x082b0808), uvec2(0x19080819, 0x082b0808), uvec2(0x19081908, 0x082b0808), uvec2(0x19190808, 0x082b0808), + uvec2(0x2b080808, 0x082b0808), uvec2(0x2b2b0808, 0x082b0808), uvec2(0x08080819, 0x082b0819), uvec2(0x08081908, 0x082b0819), + uvec2(0x08190808, 0x082b0819), uvec2(0x19080808, 0x082b0819), uvec2(0x19082b08, 0x082b0819), uvec2(0x192b1919, 0x082b0819), + uvec2(0x08080808, 0x082b082b), uvec2(0x082b082b, 0x082b082b), uvec2(0x2b080808, 0x082b082b), uvec2(0x2b2b2b08, 0x082b082b), + uvec2(0x08080819, 0x082b1908), uvec2(0x08081908, 0x082b1908), uvec2(0x08190808, 0x082b1908), uvec2(0x082b2b19, 0x082b1908), + uvec2(0x19080808, 0x082b1908), uvec2(0x08080808, 0x082b1919), uvec2(0x19080819, 0x082b1919), uvec2(0x1919082b, 0x082b1919), + uvec2(0x2b192b19, 0x082b1919), uvec2(0x08080819, 0x082b192b), uvec2(0x08192b2b, 0x082b192b), uvec2(0x2b2b192b, 0x082b192b), + uvec2(0x08080808, 0x082b2b08), uvec2(0x08082b08, 0x082b2b08), uvec2(0x08082b2b, 0x082b2b08), uvec2(0x082b0808, 0x082b2b08), + uvec2(0x19191919, 0x082b2b08), uvec2(0x2b082b08, 0x082b2b08), uvec2(0x2b2b082b, 0x082b2b08), uvec2(0x192b2b08, 0x082b2b19), + uvec2(0x2b190808, 0x082b2b19), uvec2(0x08082b08, 0x082b2b2b), uvec2(0x082b0808, 0x082b2b2b), uvec2(0x2b08082b, 0x082b2b2b), + uvec2(0x2b082b08, 0x082b2b2b), uvec2(0x2b082b2b, 0x082b2b2b), uvec2(0x08080819, 0x19080808), uvec2(0x08081908, 0x19080808), + uvec2(0x0808192b, 0x19080808), uvec2(0x08082b19, 0x19080808), uvec2(0x08190808, 0x19080808), uvec2(0x0819082b, 0x19080808), + uvec2(0x08191919, 0x19080808), uvec2(0x08192b08, 0x19080808), uvec2(0x082b0819, 0x19080808), uvec2(0x082b1908, 0x19080808), + uvec2(0x19080808, 0x19080808), uvec2(0x1908082b, 0x19080808), uvec2(0x19081919, 0x19080808), uvec2(0x19082b08, 0x19080808), + uvec2(0x19082b2b, 0x19080808), uvec2(0x19190819, 0x19080808), uvec2(0x19191908, 0x19080808), uvec2(0x192b0808, 0x19080808), + uvec2(0x192b1919, 0x19080808), uvec2(0x2b080819, 0x19080808), uvec2(0x2b081908, 0x19080808), uvec2(0x2b190808, 0x19080808), + uvec2(0x08080808, 0x19080819), uvec2(0x0808082b, 0x19080819), uvec2(0x08081919, 0x19080819), uvec2(0x08082b08, 0x19080819), + uvec2(0x08190819, 0x19080819), uvec2(0x08191908, 0x19080819), uvec2(0x082b0808, 0x19080819), uvec2(0x19080819, 0x19080819), + uvec2(0x19081908, 0x19080819), uvec2(0x19190808, 0x19080819), uvec2(0x2b080808, 0x19080819), uvec2(0x2b081919, 0x19080819), + uvec2(0x2b2b082b, 0x19080819), uvec2(0x08080819, 0x1908082b), uvec2(0x08081908, 0x1908082b), uvec2(0x08190808, 0x1908082b), + uvec2(0x0819082b, 0x1908082b), uvec2(0x082b2b19, 0x1908082b), uvec2(0x19080808, 0x1908082b), uvec2(0x08080808, 0x19081908), + uvec2(0x0808082b, 0x19081908), uvec2(0x08081919, 0x19081908), uvec2(0x08082b08, 0x19081908), uvec2(0x08190819, 0x19081908), + uvec2(0x08191908, 0x19081908), uvec2(0x08192b19, 0x19081908), uvec2(0x082b0808, 0x19081908), uvec2(0x19080819, 0x19081908), + uvec2(0x19081908, 0x19081908), uvec2(0x19190808, 0x19081908), uvec2(0x2b080808, 0x19081908), uvec2(0x2b191908, 0x19081908), + uvec2(0x08080819, 0x19081919), uvec2(0x08081908, 0x19081919), uvec2(0x08190808, 0x19081919), uvec2(0x082b1908, 0x19081919), + uvec2(0x19080808, 0x19081919), uvec2(0x2b192b2b, 0x19081919), uvec2(0x08080808, 0x1908192b), uvec2(0x08082b2b, 0x1908192b), + uvec2(0x19081908, 0x1908192b), uvec2(0x19190808, 0x1908192b), uvec2(0x08080819, 0x19082b08), uvec2(0x08081908, 0x19082b08), + uvec2(0x08190808, 0x19082b08), uvec2(0x19080808, 0x19082b08), uvec2(0x19081919, 0x19082b08), uvec2(0x19191908, 0x19082b08), + uvec2(0x192b082b, 0x19082b08), uvec2(0x08080808, 0x19082b19), uvec2(0x08190819, 0x19082b19), uvec2(0x19081908, 0x19082b19), + uvec2(0x19190808, 0x19082b19), uvec2(0x192b2b19, 0x19082b19), uvec2(0x08081908, 0x19082b2b), uvec2(0x08080808, 0x19190808), + uvec2(0x0808082b, 0x19190808), uvec2(0x08081919, 0x19190808), uvec2(0x08082b08, 0x19190808), uvec2(0x08190819, 0x19190808), + uvec2(0x08191908, 0x19190808), uvec2(0x082b0808, 0x19190808), uvec2(0x082b2b08, 0x19190808), uvec2(0x19080819, 0x19190808), + uvec2(0x19081908, 0x19190808), uvec2(0x19190808, 0x19190808), uvec2(0x2b080808, 0x19190808), uvec2(0x08080819, 0x19190819), + uvec2(0x08081908, 0x19190819), uvec2(0x08190808, 0x19190819), uvec2(0x08191919, 0x19190819), uvec2(0x19080808, 0x19190819), + uvec2(0x1908082b, 0x19190819), uvec2(0x08080808, 0x1919082b), uvec2(0x19081908, 0x1919082b), uvec2(0x2b2b2b2b, 0x1919082b), + uvec2(0x08080819, 0x19191908), uvec2(0x08081908, 0x19191908), uvec2(0x08190808, 0x19191908), uvec2(0x082b0819, 0x19191908), + uvec2(0x19080808, 0x19191908), uvec2(0x192b0808, 0x19191908), uvec2(0x2b080819, 0x19191908), uvec2(0x2b2b0819, 0x19191908), + uvec2(0x08080808, 0x19191919), uvec2(0x08082b08, 0x19191919), uvec2(0x2b080808, 0x19191919), uvec2(0x2b082b08, 0x19191919), + uvec2(0x082b0819, 0x1919192b), uvec2(0x192b2b08, 0x1919192b), uvec2(0x2b2b0819, 0x1919192b), uvec2(0x08080808, 0x19192b08), + uvec2(0x08191908, 0x19192b08), uvec2(0x19080819, 0x19192b08), uvec2(0x19190808, 0x19192b08), uvec2(0x2b192b19, 0x19192b08), + uvec2(0x08192b2b, 0x19192b19), uvec2(0x19080808, 0x19192b19), uvec2(0x1908082b, 0x19192b19), uvec2(0x2b081919, 0x19192b2b), + uvec2(0x08080819, 0x192b0808), uvec2(0x08081908, 0x192b0808), uvec2(0x08190808, 0x192b0808), uvec2(0x19080808, 0x192b0808), + uvec2(0x19191908, 0x192b0808), uvec2(0x192b082b, 0x192b0808), uvec2(0x2b08192b, 0x192b0808), uvec2(0x2b2b2b19, 0x192b0808), + uvec2(0x08080808, 0x192b0819), uvec2(0x082b1908, 0x192b082b), uvec2(0x19082b2b, 0x192b082b), uvec2(0x2b19082b, 0x192b082b), + uvec2(0x08080808, 0x192b1908), uvec2(0x0819192b, 0x192b1908), uvec2(0x08190808, 0x192b1919), uvec2(0x19080808, 0x192b1919), + uvec2(0x19081919, 0x192b1919), uvec2(0x2b2b1908, 0x192b1919), uvec2(0x08080819, 0x192b2b08), uvec2(0x192b2b2b, 0x192b2b08), + uvec2(0x082b1919, 0x192b2b19), uvec2(0x0808192b, 0x192b2b2b), uvec2(0x19191908, 0x192b2b2b), uvec2(0x192b082b, 0x192b2b2b), + uvec2(0x08080808, 0x2b080808), uvec2(0x0808082b, 0x2b080808), uvec2(0x08081919, 0x2b080808), uvec2(0x08082b08, 0x2b080808), + uvec2(0x08190819, 0x2b080808), uvec2(0x08191908, 0x2b080808), uvec2(0x082b0808, 0x2b080808), uvec2(0x082b2b2b, 0x2b080808), + uvec2(0x19080819, 0x2b080808), uvec2(0x19081908, 0x2b080808), uvec2(0x19190808, 0x2b080808), uvec2(0x2b080808, 0x2b080808), + uvec2(0x2b08082b, 0x2b080808), uvec2(0x2b2b2b08, 0x2b080808), uvec2(0x2b2b2b2b, 0x2b080808), uvec2(0x08080819, 0x2b080819), + uvec2(0x08081908, 0x2b080819), uvec2(0x0808192b, 0x2b080819), uvec2(0x08190808, 0x2b080819), uvec2(0x19080808, 0x2b080819), + uvec2(0x19190819, 0x2b080819), uvec2(0x19192b19, 0x2b080819), uvec2(0x08080808, 0x2b08082b), uvec2(0x082b0808, 0x2b08082b), + uvec2(0x2b080808, 0x2b08082b), uvec2(0x2b08082b, 0x2b08082b), uvec2(0x2b2b0808, 0x2b08082b), uvec2(0x2b2b2b08, 0x2b08082b), + uvec2(0x08080819, 0x2b081908), uvec2(0x08081908, 0x2b081908), uvec2(0x08190808, 0x2b081908), uvec2(0x0819082b, 0x2b081908), + uvec2(0x08191919, 0x2b081908), uvec2(0x19080808, 0x2b081908), uvec2(0x192b0808, 0x2b081908), uvec2(0x2b082b19, 0x2b081908), + uvec2(0x08080808, 0x2b081919), uvec2(0x19081908, 0x2b081919), uvec2(0x2b2b1919, 0x2b081919), uvec2(0x08192b08, 0x2b08192b), + uvec2(0x192b2b2b, 0x2b08192b), uvec2(0x08080808, 0x2b082b08), uvec2(0x08082b08, 0x2b082b08), uvec2(0x082b1919, 0x2b082b08), + uvec2(0x19192b2b, 0x2b082b08), uvec2(0x2b080808, 0x2b082b08), uvec2(0x2b08082b, 0x2b082b08), uvec2(0x2b2b2b08, 0x2b082b08), + uvec2(0x0808192b, 0x2b082b19), uvec2(0x082b082b, 0x2b082b2b), uvec2(0x2b080808, 0x2b082b2b), uvec2(0x2b082b08, 0x2b082b2b), + uvec2(0x2b19192b, 0x2b082b2b), uvec2(0x2b2b2b08, 0x2b082b2b), uvec2(0x08080819, 0x2b190808), uvec2(0x08081908, 0x2b190808), + uvec2(0x08190808, 0x2b190808), uvec2(0x19080808, 0x2b190808), uvec2(0x1919192b, 0x2b190808), uvec2(0x2b081908, 0x2b190808), + uvec2(0x08080808, 0x2b190819), uvec2(0x082b082b, 0x2b190819), uvec2(0x192b1908, 0x2b190819), uvec2(0x1919192b, 0x2b19082b), + uvec2(0x2b082b19, 0x2b19082b), uvec2(0x08080808, 0x2b191908), uvec2(0x08081919, 0x2b191908), uvec2(0x19081908, 0x2b191908), + uvec2(0x19190808, 0x2b191908), uvec2(0x19192b08, 0x2b191908), uvec2(0x082b2b19, 0x2b191919), uvec2(0x2b190808, 0x2b191919), + uvec2(0x2b19082b, 0x2b191919), uvec2(0x19080819, 0x2b19192b), uvec2(0x19190819, 0x2b192b08), uvec2(0x2b2b192b, 0x2b192b08), + uvec2(0x19082b19, 0x2b192b19), uvec2(0x08191919, 0x2b192b2b), uvec2(0x192b0808, 0x2b192b2b), uvec2(0x08080808, 0x2b2b0808), + uvec2(0x0808082b, 0x2b2b0808), uvec2(0x08082b08, 0x2b2b0808), uvec2(0x08082b2b, 0x2b2b0808), uvec2(0x082b0808, 0x2b2b0808), + uvec2(0x082b2b2b, 0x2b2b0808), uvec2(0x2b2b0808, 0x2b2b0808), uvec2(0x19190819, 0x2b2b0819), uvec2(0x19192b19, 0x2b2b0819), + uvec2(0x2b2b192b, 0x2b2b0819), uvec2(0x08080808, 0x2b2b082b), uvec2(0x0808082b, 0x2b2b082b), uvec2(0x08082b08, 0x2b2b082b), + uvec2(0x082b2b2b, 0x2b2b082b), uvec2(0x2b080808, 0x2b2b082b), uvec2(0x2b2b0808, 0x2b2b082b), uvec2(0x19080808, 0x2b2b1908), + uvec2(0x2b191919, 0x2b2b1908), uvec2(0x192b1919, 0x2b2b192b), uvec2(0x2b192b08, 0x2b2b192b), uvec2(0x08082b2b, 0x2b2b2b08), + uvec2(0x082b0808, 0x2b2b2b08), uvec2(0x082b082b, 0x2b2b2b08), uvec2(0x082b2b08, 0x2b2b2b08), uvec2(0x2b2b0808, 0x2b2b2b08), + uvec2(0x2b2b2b08, 0x2b2b2b08), uvec2(0x08081908, 0x2b2b2b19), uvec2(0x2b081908, 0x2b2b2b19), uvec2(0x2b08192b, 0x2b2b2b19), + uvec2(0x082b2b08, 0x2b2b2b2b), uvec2(0x082b2b2b, 0x2b2b2b2b), uvec2(0x2b190819, 0x2b2b2b2b), uvec2(0x2b2b2b2b, 0x2b2b2b2b), +}; + +shared uvec2 iq2xs_grid[512]; + +void init_iq_shmem(uvec3 wgsize) +{ + // copy the table into shared memory and sync + for (uint i = gl_LocalInvocationIndex.x; i < iq2xs_grid.length(); i += wgsize.x) { + iq2xs_grid[i] = iq2xs_grid_const[i]; + } + barrier(); +} + +#define QUANT_K QUANT_K_IQ2_XS +#define QUANT_R QUANT_R_IQ2_XS +#define A_TYPE block_iq2_xs +#define A_TYPE_PACKED16 block_iq2_xs_packed16 +#endif + +#define QUANT_K_IQ2_S 256 +#define QUANT_R_IQ2_S 1 + +struct block_iq2_s +{ + float16_t d; + uint8_t qs[QUANT_K_IQ2_S/4]; + uint8_t qh[QUANT_K_IQ2_S/32]; + uint8_t scales[QUANT_K_IQ2_S/32]; +}; + +#if defined(DATA_A_IQ2_S) + +const uvec2 iq2s_grid_const[1024] = { + uvec2(0x08080808, 0x08080808), uvec2(0x0808082b, 0x08080808), uvec2(0x08081919, 0x08080808), uvec2(0x08082b08, 0x08080808), + uvec2(0x08082b2b, 0x08080808), uvec2(0x08190819, 0x08080808), uvec2(0x08191908, 0x08080808), uvec2(0x0819192b, 0x08080808), + uvec2(0x08192b19, 0x08080808), uvec2(0x082b0808, 0x08080808), uvec2(0x082b082b, 0x08080808), uvec2(0x082b1919, 0x08080808), + uvec2(0x082b2b08, 0x08080808), uvec2(0x19080819, 0x08080808), uvec2(0x19081908, 0x08080808), uvec2(0x1908192b, 0x08080808), + uvec2(0x19082b19, 0x08080808), uvec2(0x19190808, 0x08080808), uvec2(0x1919082b, 0x08080808), uvec2(0x19191919, 0x08080808), + uvec2(0x19192b08, 0x08080808), uvec2(0x192b0819, 0x08080808), uvec2(0x192b1908, 0x08080808), uvec2(0x192b192b, 0x08080808), + uvec2(0x192b2b19, 0x08080808), uvec2(0x2b080808, 0x08080808), uvec2(0x2b08082b, 0x08080808), uvec2(0x2b081919, 0x08080808), + uvec2(0x2b082b08, 0x08080808), uvec2(0x2b190819, 0x08080808), uvec2(0x2b191908, 0x08080808), uvec2(0x2b2b0808, 0x08080808), + uvec2(0x2b2b1919, 0x08080808), uvec2(0x2b2b2b2b, 0x08080808), uvec2(0x08080819, 0x08080819), uvec2(0x08081908, 0x08080819), + uvec2(0x0808192b, 0x08080819), uvec2(0x08082b19, 0x08080819), uvec2(0x08190808, 0x08080819), uvec2(0x0819082b, 0x08080819), + uvec2(0x08191919, 0x08080819), uvec2(0x08192b08, 0x08080819), uvec2(0x082b0819, 0x08080819), uvec2(0x082b1908, 0x08080819), + uvec2(0x19080808, 0x08080819), uvec2(0x1908082b, 0x08080819), uvec2(0x19081919, 0x08080819), uvec2(0x19082b08, 0x08080819), + uvec2(0x19190819, 0x08080819), uvec2(0x19191908, 0x08080819), uvec2(0x1919192b, 0x08080819), uvec2(0x19192b19, 0x08080819), + uvec2(0x192b0808, 0x08080819), uvec2(0x192b1919, 0x08080819), uvec2(0x192b2b08, 0x08080819), uvec2(0x2b080819, 0x08080819), + uvec2(0x2b081908, 0x08080819), uvec2(0x2b190808, 0x08080819), uvec2(0x2b19082b, 0x08080819), uvec2(0x2b191919, 0x08080819), + uvec2(0x2b2b0819, 0x08080819), uvec2(0x2b2b1908, 0x08080819), uvec2(0x08080808, 0x0808082b), uvec2(0x0808082b, 0x0808082b), + uvec2(0x08081919, 0x0808082b), uvec2(0x08082b08, 0x0808082b), uvec2(0x08190819, 0x0808082b), uvec2(0x08191908, 0x0808082b), + uvec2(0x082b0808, 0x0808082b), uvec2(0x082b2b2b, 0x0808082b), uvec2(0x19080819, 0x0808082b), uvec2(0x19081908, 0x0808082b), + uvec2(0x1908192b, 0x0808082b), uvec2(0x19082b19, 0x0808082b), uvec2(0x19190808, 0x0808082b), uvec2(0x19191919, 0x0808082b), + uvec2(0x2b080808, 0x0808082b), uvec2(0x2b081919, 0x0808082b), uvec2(0x2b082b2b, 0x0808082b), uvec2(0x2b191908, 0x0808082b), + uvec2(0x2b2b082b, 0x0808082b), uvec2(0x08080819, 0x08081908), uvec2(0x08081908, 0x08081908), uvec2(0x0808192b, 0x08081908), + uvec2(0x08082b19, 0x08081908), uvec2(0x08190808, 0x08081908), uvec2(0x0819082b, 0x08081908), uvec2(0x08191919, 0x08081908), + uvec2(0x08192b08, 0x08081908), uvec2(0x082b0819, 0x08081908), uvec2(0x082b1908, 0x08081908), uvec2(0x082b192b, 0x08081908), + uvec2(0x082b2b19, 0x08081908), uvec2(0x19080808, 0x08081908), uvec2(0x1908082b, 0x08081908), uvec2(0x19081919, 0x08081908), + uvec2(0x19082b08, 0x08081908), uvec2(0x19082b2b, 0x08081908), uvec2(0x19190819, 0x08081908), uvec2(0x19191908, 0x08081908), + uvec2(0x1919192b, 0x08081908), uvec2(0x19192b19, 0x08081908), uvec2(0x192b0808, 0x08081908), uvec2(0x192b082b, 0x08081908), + uvec2(0x192b1919, 0x08081908), uvec2(0x2b080819, 0x08081908), uvec2(0x2b081908, 0x08081908), uvec2(0x2b08192b, 0x08081908), + uvec2(0x2b082b19, 0x08081908), uvec2(0x2b190808, 0x08081908), uvec2(0x2b191919, 0x08081908), uvec2(0x2b192b08, 0x08081908), + uvec2(0x2b2b0819, 0x08081908), uvec2(0x2b2b1908, 0x08081908), uvec2(0x08080808, 0x08081919), uvec2(0x0808082b, 0x08081919), + uvec2(0x08081919, 0x08081919), uvec2(0x08082b08, 0x08081919), uvec2(0x08082b2b, 0x08081919), uvec2(0x08190819, 0x08081919), + uvec2(0x08191908, 0x08081919), uvec2(0x0819192b, 0x08081919), uvec2(0x08192b19, 0x08081919), uvec2(0x082b0808, 0x08081919), + uvec2(0x082b1919, 0x08081919), uvec2(0x082b2b08, 0x08081919), uvec2(0x19080819, 0x08081919), uvec2(0x19081908, 0x08081919), + uvec2(0x1908192b, 0x08081919), uvec2(0x19082b19, 0x08081919), uvec2(0x19190808, 0x08081919), uvec2(0x1919082b, 0x08081919), + uvec2(0x19191919, 0x08081919), uvec2(0x19192b08, 0x08081919), uvec2(0x192b0819, 0x08081919), uvec2(0x192b1908, 0x08081919), + uvec2(0x2b080808, 0x08081919), uvec2(0x2b08082b, 0x08081919), uvec2(0x2b081919, 0x08081919), uvec2(0x2b082b08, 0x08081919), + uvec2(0x2b190819, 0x08081919), uvec2(0x2b191908, 0x08081919), uvec2(0x2b2b0808, 0x08081919), uvec2(0x08080819, 0x0808192b), + uvec2(0x08081908, 0x0808192b), uvec2(0x0808192b, 0x0808192b), uvec2(0x08082b19, 0x0808192b), uvec2(0x08190808, 0x0808192b), + uvec2(0x08191919, 0x0808192b), uvec2(0x19080808, 0x0808192b), uvec2(0x19081919, 0x0808192b), uvec2(0x19082b08, 0x0808192b), + uvec2(0x19190819, 0x0808192b), uvec2(0x19191908, 0x0808192b), uvec2(0x192b0808, 0x0808192b), uvec2(0x2b080819, 0x0808192b), + uvec2(0x2b081908, 0x0808192b), uvec2(0x2b190808, 0x0808192b), uvec2(0x08080808, 0x08082b08), uvec2(0x0808082b, 0x08082b08), + uvec2(0x08081919, 0x08082b08), uvec2(0x08082b08, 0x08082b08), uvec2(0x08190819, 0x08082b08), uvec2(0x08191908, 0x08082b08), + uvec2(0x0819192b, 0x08082b08), uvec2(0x08192b19, 0x08082b08), uvec2(0x082b0808, 0x08082b08), uvec2(0x082b1919, 0x08082b08), + uvec2(0x082b2b2b, 0x08082b08), uvec2(0x19080819, 0x08082b08), uvec2(0x19081908, 0x08082b08), uvec2(0x1908192b, 0x08082b08), + uvec2(0x19082b19, 0x08082b08), uvec2(0x19190808, 0x08082b08), uvec2(0x1919082b, 0x08082b08), uvec2(0x19191919, 0x08082b08), + uvec2(0x19192b08, 0x08082b08), uvec2(0x192b0819, 0x08082b08), uvec2(0x192b1908, 0x08082b08), uvec2(0x2b080808, 0x08082b08), + uvec2(0x2b081919, 0x08082b08), uvec2(0x2b191908, 0x08082b08), uvec2(0x2b2b2b2b, 0x08082b08), uvec2(0x08080819, 0x08082b19), + uvec2(0x08081908, 0x08082b19), uvec2(0x08190808, 0x08082b19), uvec2(0x0819082b, 0x08082b19), uvec2(0x08191919, 0x08082b19), + uvec2(0x08192b08, 0x08082b19), uvec2(0x082b0819, 0x08082b19), uvec2(0x19080808, 0x08082b19), uvec2(0x19081919, 0x08082b19), + uvec2(0x19082b08, 0x08082b19), uvec2(0x19190819, 0x08082b19), uvec2(0x19191908, 0x08082b19), uvec2(0x192b0808, 0x08082b19), + uvec2(0x2b080819, 0x08082b19), uvec2(0x2b190808, 0x08082b19), uvec2(0x08080808, 0x08082b2b), uvec2(0x08190819, 0x08082b2b), + uvec2(0x08191908, 0x08082b2b), uvec2(0x082b082b, 0x08082b2b), uvec2(0x082b2b08, 0x08082b2b), uvec2(0x082b2b2b, 0x08082b2b), + uvec2(0x19190808, 0x08082b2b), uvec2(0x2b192b19, 0x08082b2b), uvec2(0x08080819, 0x08190808), uvec2(0x08081908, 0x08190808), + uvec2(0x0808192b, 0x08190808), uvec2(0x08082b19, 0x08190808), uvec2(0x08190808, 0x08190808), uvec2(0x0819082b, 0x08190808), + uvec2(0x08191919, 0x08190808), uvec2(0x08192b08, 0x08190808), uvec2(0x082b0819, 0x08190808), uvec2(0x082b1908, 0x08190808), + uvec2(0x082b192b, 0x08190808), uvec2(0x19080808, 0x08190808), uvec2(0x1908082b, 0x08190808), uvec2(0x19081919, 0x08190808), + uvec2(0x19082b08, 0x08190808), uvec2(0x19190819, 0x08190808), uvec2(0x19191908, 0x08190808), uvec2(0x1919192b, 0x08190808), + uvec2(0x19192b19, 0x08190808), uvec2(0x192b0808, 0x08190808), uvec2(0x192b082b, 0x08190808), uvec2(0x192b1919, 0x08190808), + uvec2(0x192b2b08, 0x08190808), uvec2(0x2b080819, 0x08190808), uvec2(0x2b081908, 0x08190808), uvec2(0x2b08192b, 0x08190808), + uvec2(0x2b190808, 0x08190808), uvec2(0x2b191919, 0x08190808), uvec2(0x2b192b08, 0x08190808), uvec2(0x2b2b0819, 0x08190808), + uvec2(0x2b2b1908, 0x08190808), uvec2(0x08080808, 0x08190819), uvec2(0x0808082b, 0x08190819), uvec2(0x08081919, 0x08190819), + uvec2(0x08082b08, 0x08190819), uvec2(0x08082b2b, 0x08190819), uvec2(0x08190819, 0x08190819), uvec2(0x08191908, 0x08190819), + uvec2(0x0819192b, 0x08190819), uvec2(0x08192b19, 0x08190819), uvec2(0x082b0808, 0x08190819), uvec2(0x082b082b, 0x08190819), + uvec2(0x082b1919, 0x08190819), uvec2(0x082b2b08, 0x08190819), uvec2(0x19080819, 0x08190819), uvec2(0x19081908, 0x08190819), + uvec2(0x1908192b, 0x08190819), uvec2(0x19082b19, 0x08190819), uvec2(0x19190808, 0x08190819), uvec2(0x1919082b, 0x08190819), + uvec2(0x19191919, 0x08190819), uvec2(0x19192b08, 0x08190819), uvec2(0x192b0819, 0x08190819), uvec2(0x192b1908, 0x08190819), + uvec2(0x2b080808, 0x08190819), uvec2(0x2b08082b, 0x08190819), uvec2(0x2b081919, 0x08190819), uvec2(0x2b082b08, 0x08190819), + uvec2(0x2b190819, 0x08190819), uvec2(0x2b191908, 0x08190819), uvec2(0x08080819, 0x0819082b), uvec2(0x08081908, 0x0819082b), + uvec2(0x08082b19, 0x0819082b), uvec2(0x08190808, 0x0819082b), uvec2(0x08191919, 0x0819082b), uvec2(0x082b0819, 0x0819082b), + uvec2(0x082b1908, 0x0819082b), uvec2(0x19080808, 0x0819082b), uvec2(0x19081919, 0x0819082b), uvec2(0x19190819, 0x0819082b), + uvec2(0x19191908, 0x0819082b), uvec2(0x2b080819, 0x0819082b), uvec2(0x2b081908, 0x0819082b), uvec2(0x2b190808, 0x0819082b), + uvec2(0x08080808, 0x08191908), uvec2(0x0808082b, 0x08191908), uvec2(0x08081919, 0x08191908), uvec2(0x08082b08, 0x08191908), + uvec2(0x08190819, 0x08191908), uvec2(0x08191908, 0x08191908), uvec2(0x0819192b, 0x08191908), uvec2(0x08192b19, 0x08191908), + uvec2(0x082b0808, 0x08191908), uvec2(0x082b1919, 0x08191908), uvec2(0x082b2b08, 0x08191908), uvec2(0x19080819, 0x08191908), + uvec2(0x19081908, 0x08191908), uvec2(0x1908192b, 0x08191908), uvec2(0x19082b19, 0x08191908), uvec2(0x19190808, 0x08191908), + uvec2(0x1919082b, 0x08191908), uvec2(0x19191919, 0x08191908), uvec2(0x19192b08, 0x08191908), uvec2(0x192b0819, 0x08191908), + uvec2(0x192b1908, 0x08191908), uvec2(0x2b080808, 0x08191908), uvec2(0x2b08082b, 0x08191908), uvec2(0x2b081919, 0x08191908), + uvec2(0x2b082b08, 0x08191908), uvec2(0x2b190819, 0x08191908), uvec2(0x2b191908, 0x08191908), uvec2(0x2b2b0808, 0x08191908), + uvec2(0x08080819, 0x08191919), uvec2(0x08081908, 0x08191919), uvec2(0x0808192b, 0x08191919), uvec2(0x08082b19, 0x08191919), + uvec2(0x08190808, 0x08191919), uvec2(0x0819082b, 0x08191919), uvec2(0x08191919, 0x08191919), uvec2(0x08192b08, 0x08191919), + uvec2(0x082b0819, 0x08191919), uvec2(0x082b1908, 0x08191919), uvec2(0x19080808, 0x08191919), uvec2(0x1908082b, 0x08191919), + uvec2(0x19081919, 0x08191919), uvec2(0x19082b08, 0x08191919), uvec2(0x19190819, 0x08191919), uvec2(0x19191908, 0x08191919), + uvec2(0x192b0808, 0x08191919), uvec2(0x2b080819, 0x08191919), uvec2(0x2b081908, 0x08191919), uvec2(0x2b190808, 0x08191919), + uvec2(0x08080808, 0x0819192b), uvec2(0x08081919, 0x0819192b), uvec2(0x08082b08, 0x0819192b), uvec2(0x08190819, 0x0819192b), + uvec2(0x08191908, 0x0819192b), uvec2(0x082b0808, 0x0819192b), uvec2(0x19080819, 0x0819192b), uvec2(0x19081908, 0x0819192b), + uvec2(0x19190808, 0x0819192b), uvec2(0x2b080808, 0x0819192b), uvec2(0x2b2b2b2b, 0x0819192b), uvec2(0x08080819, 0x08192b08), + uvec2(0x08081908, 0x08192b08), uvec2(0x0808192b, 0x08192b08), uvec2(0x08082b19, 0x08192b08), uvec2(0x08190808, 0x08192b08), + uvec2(0x08191919, 0x08192b08), uvec2(0x08192b08, 0x08192b08), uvec2(0x082b0819, 0x08192b08), uvec2(0x19080808, 0x08192b08), + uvec2(0x1908082b, 0x08192b08), uvec2(0x19081919, 0x08192b08), uvec2(0x19082b08, 0x08192b08), uvec2(0x19190819, 0x08192b08), + uvec2(0x19191908, 0x08192b08), uvec2(0x192b0808, 0x08192b08), uvec2(0x2b080819, 0x08192b08), uvec2(0x2b081908, 0x08192b08), + uvec2(0x08080808, 0x08192b19), uvec2(0x0808082b, 0x08192b19), uvec2(0x08081919, 0x08192b19), uvec2(0x08082b08, 0x08192b19), + uvec2(0x08190819, 0x08192b19), uvec2(0x08191908, 0x08192b19), uvec2(0x082b0808, 0x08192b19), uvec2(0x19080819, 0x08192b19), + uvec2(0x19081908, 0x08192b19), uvec2(0x19190808, 0x08192b19), uvec2(0x192b2b19, 0x08192b19), uvec2(0x2b2b082b, 0x08192b19), + uvec2(0x08081908, 0x08192b2b), uvec2(0x08190808, 0x08192b2b), uvec2(0x19080808, 0x08192b2b), uvec2(0x1919192b, 0x08192b2b), + uvec2(0x08080808, 0x082b0808), uvec2(0x0808082b, 0x082b0808), uvec2(0x08081919, 0x082b0808), uvec2(0x08082b08, 0x082b0808), + uvec2(0x08190819, 0x082b0808), uvec2(0x08191908, 0x082b0808), uvec2(0x0819192b, 0x082b0808), uvec2(0x08192b19, 0x082b0808), + uvec2(0x082b0808, 0x082b0808), uvec2(0x082b1919, 0x082b0808), uvec2(0x082b2b2b, 0x082b0808), uvec2(0x19080819, 0x082b0808), + uvec2(0x19081908, 0x082b0808), uvec2(0x19190808, 0x082b0808), uvec2(0x1919082b, 0x082b0808), uvec2(0x19191919, 0x082b0808), + uvec2(0x192b1908, 0x082b0808), uvec2(0x2b080808, 0x082b0808), uvec2(0x2b082b2b, 0x082b0808), uvec2(0x2b191908, 0x082b0808), + uvec2(0x2b2b2b2b, 0x082b0808), uvec2(0x08080819, 0x082b0819), uvec2(0x08081908, 0x082b0819), uvec2(0x08190808, 0x082b0819), + uvec2(0x0819082b, 0x082b0819), uvec2(0x08191919, 0x082b0819), uvec2(0x082b0819, 0x082b0819), uvec2(0x19080808, 0x082b0819), + uvec2(0x1908082b, 0x082b0819), uvec2(0x19081919, 0x082b0819), uvec2(0x19190819, 0x082b0819), uvec2(0x19191908, 0x082b0819), + uvec2(0x192b0808, 0x082b0819), uvec2(0x2b080819, 0x082b0819), uvec2(0x2b081908, 0x082b0819), uvec2(0x2b190808, 0x082b0819), + uvec2(0x08080808, 0x082b082b), uvec2(0x08082b2b, 0x082b082b), uvec2(0x082b082b, 0x082b082b), uvec2(0x082b2b08, 0x082b082b), + uvec2(0x082b2b2b, 0x082b082b), uvec2(0x19081908, 0x082b082b), uvec2(0x19190808, 0x082b082b), uvec2(0x2b082b08, 0x082b082b), + uvec2(0x2b082b2b, 0x082b082b), uvec2(0x2b2b2b08, 0x082b082b), uvec2(0x08080819, 0x082b1908), uvec2(0x08081908, 0x082b1908), + uvec2(0x0808192b, 0x082b1908), uvec2(0x08082b19, 0x082b1908), uvec2(0x08190808, 0x082b1908), uvec2(0x08191919, 0x082b1908), + uvec2(0x08192b08, 0x082b1908), uvec2(0x082b0819, 0x082b1908), uvec2(0x082b1908, 0x082b1908), uvec2(0x19080808, 0x082b1908), + uvec2(0x1908082b, 0x082b1908), uvec2(0x19081919, 0x082b1908), uvec2(0x19082b08, 0x082b1908), uvec2(0x19190819, 0x082b1908), + uvec2(0x19191908, 0x082b1908), uvec2(0x192b0808, 0x082b1908), uvec2(0x2b080819, 0x082b1908), uvec2(0x2b081908, 0x082b1908), + uvec2(0x2b190808, 0x082b1908), uvec2(0x08080808, 0x082b1919), uvec2(0x08081919, 0x082b1919), uvec2(0x08082b08, 0x082b1919), + uvec2(0x08190819, 0x082b1919), uvec2(0x08191908, 0x082b1919), uvec2(0x082b0808, 0x082b1919), uvec2(0x19080819, 0x082b1919), + uvec2(0x19081908, 0x082b1919), uvec2(0x19190808, 0x082b1919), uvec2(0x192b192b, 0x082b1919), uvec2(0x2b080808, 0x082b1919), + uvec2(0x08080819, 0x082b192b), uvec2(0x08081908, 0x082b192b), uvec2(0x08190808, 0x082b192b), uvec2(0x19080808, 0x082b192b), + uvec2(0x19192b19, 0x082b192b), uvec2(0x08080808, 0x082b2b08), uvec2(0x08081919, 0x082b2b08), uvec2(0x08190819, 0x082b2b08), + uvec2(0x08191908, 0x082b2b08), uvec2(0x19080819, 0x082b2b08), uvec2(0x19081908, 0x082b2b08), uvec2(0x19190808, 0x082b2b08), + uvec2(0x2b082b2b, 0x082b2b08), uvec2(0x2b2b2b2b, 0x082b2b08), uvec2(0x08080819, 0x082b2b19), uvec2(0x08081908, 0x082b2b19), + uvec2(0x08190808, 0x082b2b19), uvec2(0x2b191919, 0x082b2b19), uvec2(0x08082b2b, 0x082b2b2b), uvec2(0x082b082b, 0x082b2b2b), + uvec2(0x192b1908, 0x082b2b2b), uvec2(0x2b082b08, 0x082b2b2b), uvec2(0x2b082b2b, 0x082b2b2b), uvec2(0x08080819, 0x19080808), + uvec2(0x08081908, 0x19080808), uvec2(0x0808192b, 0x19080808), uvec2(0x08082b19, 0x19080808), uvec2(0x08190808, 0x19080808), + uvec2(0x0819082b, 0x19080808), uvec2(0x08191919, 0x19080808), uvec2(0x08192b08, 0x19080808), uvec2(0x08192b2b, 0x19080808), + uvec2(0x082b0819, 0x19080808), uvec2(0x082b1908, 0x19080808), uvec2(0x082b192b, 0x19080808), uvec2(0x19080808, 0x19080808), + uvec2(0x1908082b, 0x19080808), uvec2(0x19081919, 0x19080808), uvec2(0x19082b08, 0x19080808), uvec2(0x19082b2b, 0x19080808), + uvec2(0x19190819, 0x19080808), uvec2(0x19191908, 0x19080808), uvec2(0x1919192b, 0x19080808), uvec2(0x19192b19, 0x19080808), + uvec2(0x192b0808, 0x19080808), uvec2(0x192b082b, 0x19080808), uvec2(0x192b1919, 0x19080808), uvec2(0x2b080819, 0x19080808), + uvec2(0x2b081908, 0x19080808), uvec2(0x2b190808, 0x19080808), uvec2(0x2b191919, 0x19080808), uvec2(0x2b192b08, 0x19080808), + uvec2(0x2b2b0819, 0x19080808), uvec2(0x2b2b1908, 0x19080808), uvec2(0x08080808, 0x19080819), uvec2(0x0808082b, 0x19080819), + uvec2(0x08081919, 0x19080819), uvec2(0x08082b08, 0x19080819), uvec2(0x08190819, 0x19080819), uvec2(0x08191908, 0x19080819), + uvec2(0x0819192b, 0x19080819), uvec2(0x08192b19, 0x19080819), uvec2(0x082b0808, 0x19080819), uvec2(0x082b082b, 0x19080819), + uvec2(0x082b1919, 0x19080819), uvec2(0x19080819, 0x19080819), uvec2(0x19081908, 0x19080819), uvec2(0x1908192b, 0x19080819), + uvec2(0x19082b19, 0x19080819), uvec2(0x19190808, 0x19080819), uvec2(0x1919082b, 0x19080819), uvec2(0x19191919, 0x19080819), + uvec2(0x19192b08, 0x19080819), uvec2(0x192b0819, 0x19080819), uvec2(0x192b1908, 0x19080819), uvec2(0x2b080808, 0x19080819), + uvec2(0x2b08082b, 0x19080819), uvec2(0x2b081919, 0x19080819), uvec2(0x2b082b08, 0x19080819), uvec2(0x2b190819, 0x19080819), + uvec2(0x2b191908, 0x19080819), uvec2(0x2b2b0808, 0x19080819), uvec2(0x08080819, 0x1908082b), uvec2(0x08081908, 0x1908082b), + uvec2(0x08190808, 0x1908082b), uvec2(0x0819082b, 0x1908082b), uvec2(0x08191919, 0x1908082b), uvec2(0x08192b08, 0x1908082b), + uvec2(0x082b1908, 0x1908082b), uvec2(0x19080808, 0x1908082b), uvec2(0x19081919, 0x1908082b), uvec2(0x19082b08, 0x1908082b), + uvec2(0x19190819, 0x1908082b), uvec2(0x19191908, 0x1908082b), uvec2(0x192b0808, 0x1908082b), uvec2(0x2b080819, 0x1908082b), + uvec2(0x2b081908, 0x1908082b), uvec2(0x08080808, 0x19081908), uvec2(0x0808082b, 0x19081908), uvec2(0x08081919, 0x19081908), + uvec2(0x08082b08, 0x19081908), uvec2(0x08082b2b, 0x19081908), uvec2(0x08190819, 0x19081908), uvec2(0x08191908, 0x19081908), + uvec2(0x0819192b, 0x19081908), uvec2(0x08192b19, 0x19081908), uvec2(0x082b0808, 0x19081908), uvec2(0x082b082b, 0x19081908), + uvec2(0x082b1919, 0x19081908), uvec2(0x082b2b08, 0x19081908), uvec2(0x19080819, 0x19081908), uvec2(0x19081908, 0x19081908), + uvec2(0x1908192b, 0x19081908), uvec2(0x19082b19, 0x19081908), uvec2(0x19190808, 0x19081908), uvec2(0x1919082b, 0x19081908), + uvec2(0x19191919, 0x19081908), uvec2(0x19192b08, 0x19081908), uvec2(0x192b0819, 0x19081908), uvec2(0x192b1908, 0x19081908), + uvec2(0x2b080808, 0x19081908), uvec2(0x2b08082b, 0x19081908), uvec2(0x2b081919, 0x19081908), uvec2(0x2b082b08, 0x19081908), + uvec2(0x2b190819, 0x19081908), uvec2(0x2b191908, 0x19081908), uvec2(0x2b2b0808, 0x19081908), uvec2(0x08080819, 0x19081919), + uvec2(0x08081908, 0x19081919), uvec2(0x0808192b, 0x19081919), uvec2(0x08082b19, 0x19081919), uvec2(0x08190808, 0x19081919), + uvec2(0x0819082b, 0x19081919), uvec2(0x08191919, 0x19081919), uvec2(0x08192b08, 0x19081919), uvec2(0x082b0819, 0x19081919), + uvec2(0x082b1908, 0x19081919), uvec2(0x19080808, 0x19081919), uvec2(0x1908082b, 0x19081919), uvec2(0x19081919, 0x19081919), + uvec2(0x19082b08, 0x19081919), uvec2(0x19190819, 0x19081919), uvec2(0x19191908, 0x19081919), uvec2(0x192b0808, 0x19081919), + uvec2(0x192b2b2b, 0x19081919), uvec2(0x2b080819, 0x19081919), uvec2(0x2b081908, 0x19081919), uvec2(0x2b190808, 0x19081919), + uvec2(0x08080808, 0x1908192b), uvec2(0x0808082b, 0x1908192b), uvec2(0x08081919, 0x1908192b), uvec2(0x08082b08, 0x1908192b), + uvec2(0x08190819, 0x1908192b), uvec2(0x08191908, 0x1908192b), uvec2(0x082b0808, 0x1908192b), uvec2(0x19080819, 0x1908192b), + uvec2(0x19081908, 0x1908192b), uvec2(0x19190808, 0x1908192b), uvec2(0x2b080808, 0x1908192b), uvec2(0x2b2b1919, 0x1908192b), + uvec2(0x08080819, 0x19082b08), uvec2(0x08081908, 0x19082b08), uvec2(0x08082b19, 0x19082b08), uvec2(0x08190808, 0x19082b08), + uvec2(0x0819082b, 0x19082b08), uvec2(0x08191919, 0x19082b08), uvec2(0x08192b08, 0x19082b08), uvec2(0x082b0819, 0x19082b08), + uvec2(0x082b1908, 0x19082b08), uvec2(0x19080808, 0x19082b08), uvec2(0x1908082b, 0x19082b08), uvec2(0x19081919, 0x19082b08), + uvec2(0x19082b08, 0x19082b08), uvec2(0x19190819, 0x19082b08), uvec2(0x19191908, 0x19082b08), uvec2(0x192b0808, 0x19082b08), + uvec2(0x2b081908, 0x19082b08), uvec2(0x2b190808, 0x19082b08), uvec2(0x08080808, 0x19082b19), uvec2(0x0808082b, 0x19082b19), + uvec2(0x08081919, 0x19082b19), uvec2(0x08082b08, 0x19082b19), uvec2(0x08190819, 0x19082b19), uvec2(0x08191908, 0x19082b19), + uvec2(0x082b0808, 0x19082b19), uvec2(0x19080819, 0x19082b19), uvec2(0x19081908, 0x19082b19), uvec2(0x19190808, 0x19082b19), + uvec2(0x2b080808, 0x19082b19), uvec2(0x2b19192b, 0x19082b19), uvec2(0x08080819, 0x19082b2b), uvec2(0x08081908, 0x19082b2b), + uvec2(0x08190808, 0x19082b2b), uvec2(0x19080808, 0x19082b2b), uvec2(0x08080808, 0x19190808), uvec2(0x0808082b, 0x19190808), + uvec2(0x08081919, 0x19190808), uvec2(0x08082b08, 0x19190808), uvec2(0x08190819, 0x19190808), uvec2(0x08191908, 0x19190808), + uvec2(0x0819192b, 0x19190808), uvec2(0x08192b19, 0x19190808), uvec2(0x082b0808, 0x19190808), uvec2(0x082b082b, 0x19190808), + uvec2(0x082b1919, 0x19190808), uvec2(0x082b2b08, 0x19190808), uvec2(0x19080819, 0x19190808), uvec2(0x19081908, 0x19190808), + uvec2(0x1908192b, 0x19190808), uvec2(0x19082b19, 0x19190808), uvec2(0x19190808, 0x19190808), uvec2(0x1919082b, 0x19190808), + uvec2(0x19191919, 0x19190808), uvec2(0x19192b08, 0x19190808), uvec2(0x192b0819, 0x19190808), uvec2(0x192b1908, 0x19190808), + uvec2(0x2b080808, 0x19190808), uvec2(0x2b08082b, 0x19190808), uvec2(0x2b081919, 0x19190808), uvec2(0x2b082b08, 0x19190808), + uvec2(0x2b190819, 0x19190808), uvec2(0x2b191908, 0x19190808), uvec2(0x08080819, 0x19190819), uvec2(0x08081908, 0x19190819), + uvec2(0x0808192b, 0x19190819), uvec2(0x08082b19, 0x19190819), uvec2(0x08190808, 0x19190819), uvec2(0x0819082b, 0x19190819), + uvec2(0x08191919, 0x19190819), uvec2(0x08192b08, 0x19190819), uvec2(0x082b0819, 0x19190819), uvec2(0x082b1908, 0x19190819), + uvec2(0x19080808, 0x19190819), uvec2(0x1908082b, 0x19190819), uvec2(0x19081919, 0x19190819), uvec2(0x19082b08, 0x19190819), + uvec2(0x19190819, 0x19190819), uvec2(0x19191908, 0x19190819), uvec2(0x192b0808, 0x19190819), uvec2(0x2b080819, 0x19190819), + uvec2(0x2b081908, 0x19190819), uvec2(0x2b190808, 0x19190819), uvec2(0x08080808, 0x1919082b), uvec2(0x08081919, 0x1919082b), + uvec2(0x08082b08, 0x1919082b), uvec2(0x08190819, 0x1919082b), uvec2(0x08191908, 0x1919082b), uvec2(0x082b0808, 0x1919082b), + uvec2(0x19080819, 0x1919082b), uvec2(0x19081908, 0x1919082b), uvec2(0x19190808, 0x1919082b), uvec2(0x192b2b19, 0x1919082b), + uvec2(0x2b080808, 0x1919082b), uvec2(0x08080819, 0x19191908), uvec2(0x08081908, 0x19191908), uvec2(0x0808192b, 0x19191908), + uvec2(0x08082b19, 0x19191908), uvec2(0x08190808, 0x19191908), uvec2(0x0819082b, 0x19191908), uvec2(0x08191919, 0x19191908), + uvec2(0x08192b08, 0x19191908), uvec2(0x082b0819, 0x19191908), uvec2(0x082b1908, 0x19191908), uvec2(0x19080808, 0x19191908), + uvec2(0x1908082b, 0x19191908), uvec2(0x19081919, 0x19191908), uvec2(0x19082b08, 0x19191908), uvec2(0x19190819, 0x19191908), + uvec2(0x19191908, 0x19191908), uvec2(0x192b0808, 0x19191908), uvec2(0x2b080819, 0x19191908), uvec2(0x2b081908, 0x19191908), + uvec2(0x2b190808, 0x19191908), uvec2(0x08080808, 0x19191919), uvec2(0x0808082b, 0x19191919), uvec2(0x08081919, 0x19191919), + uvec2(0x08082b08, 0x19191919), uvec2(0x08190819, 0x19191919), uvec2(0x08191908, 0x19191919), uvec2(0x082b0808, 0x19191919), + uvec2(0x19080819, 0x19191919), uvec2(0x19081908, 0x19191919), uvec2(0x19190808, 0x19191919), uvec2(0x2b080808, 0x19191919), + uvec2(0x08080819, 0x1919192b), uvec2(0x08081908, 0x1919192b), uvec2(0x08190808, 0x1919192b), uvec2(0x082b192b, 0x1919192b), + uvec2(0x19080808, 0x1919192b), uvec2(0x08080808, 0x19192b08), uvec2(0x0808082b, 0x19192b08), uvec2(0x08081919, 0x19192b08), + uvec2(0x08082b08, 0x19192b08), uvec2(0x08190819, 0x19192b08), uvec2(0x08191908, 0x19192b08), uvec2(0x082b0808, 0x19192b08), + uvec2(0x19080819, 0x19192b08), uvec2(0x19081908, 0x19192b08), uvec2(0x19190808, 0x19192b08), uvec2(0x19192b2b, 0x19192b08), + uvec2(0x2b080808, 0x19192b08), uvec2(0x08080819, 0x19192b19), uvec2(0x08081908, 0x19192b19), uvec2(0x08190808, 0x19192b19), + uvec2(0x19080808, 0x19192b19), uvec2(0x08080808, 0x19192b2b), uvec2(0x08192b19, 0x19192b2b), uvec2(0x2b081919, 0x19192b2b), + uvec2(0x2b2b2b08, 0x19192b2b), uvec2(0x08080819, 0x192b0808), uvec2(0x08081908, 0x192b0808), uvec2(0x0808192b, 0x192b0808), + uvec2(0x08190808, 0x192b0808), uvec2(0x0819082b, 0x192b0808), uvec2(0x08191919, 0x192b0808), uvec2(0x08192b08, 0x192b0808), + uvec2(0x082b0819, 0x192b0808), uvec2(0x082b1908, 0x192b0808), uvec2(0x19080808, 0x192b0808), uvec2(0x19081919, 0x192b0808), + uvec2(0x19082b08, 0x192b0808), uvec2(0x19190819, 0x192b0808), uvec2(0x19191908, 0x192b0808), uvec2(0x192b0808, 0x192b0808), + uvec2(0x2b081908, 0x192b0808), uvec2(0x2b190808, 0x192b0808), uvec2(0x08080808, 0x192b0819), uvec2(0x0808082b, 0x192b0819), + uvec2(0x08081919, 0x192b0819), uvec2(0x08082b08, 0x192b0819), uvec2(0x08190819, 0x192b0819), uvec2(0x08191908, 0x192b0819), + uvec2(0x082b0808, 0x192b0819), uvec2(0x19080819, 0x192b0819), uvec2(0x19081908, 0x192b0819), uvec2(0x19190808, 0x192b0819), + uvec2(0x2b080808, 0x192b0819), uvec2(0x2b192b19, 0x192b0819), uvec2(0x08081908, 0x192b082b), uvec2(0x08190808, 0x192b082b), + uvec2(0x19080808, 0x192b082b), uvec2(0x1919192b, 0x192b082b), uvec2(0x2b2b0819, 0x192b082b), uvec2(0x08080808, 0x192b1908), + uvec2(0x08081919, 0x192b1908), uvec2(0x08082b08, 0x192b1908), uvec2(0x08190819, 0x192b1908), uvec2(0x08191908, 0x192b1908), + uvec2(0x082b0808, 0x192b1908), uvec2(0x19080819, 0x192b1908), uvec2(0x19081908, 0x192b1908), uvec2(0x19190808, 0x192b1908), + uvec2(0x2b080808, 0x192b1908), uvec2(0x08080819, 0x192b1919), uvec2(0x08081908, 0x192b1919), uvec2(0x08190808, 0x192b1919), + uvec2(0x19080808, 0x192b1919), uvec2(0x19082b2b, 0x192b1919), uvec2(0x192b2b08, 0x192b1919), uvec2(0x2b19082b, 0x192b1919), + uvec2(0x08080808, 0x192b192b), uvec2(0x2b191908, 0x192b192b), uvec2(0x08080819, 0x192b2b08), uvec2(0x08081908, 0x192b2b08), + uvec2(0x08190808, 0x192b2b08), uvec2(0x192b1919, 0x192b2b08), uvec2(0x2b192b08, 0x192b2b08), uvec2(0x08080808, 0x192b2b19), + uvec2(0x082b2b2b, 0x192b2b19), uvec2(0x1908082b, 0x192b2b2b), uvec2(0x2b2b0819, 0x192b2b2b), uvec2(0x08080808, 0x2b080808), + uvec2(0x0808082b, 0x2b080808), uvec2(0x08081919, 0x2b080808), uvec2(0x08082b08, 0x2b080808), uvec2(0x08190819, 0x2b080808), + uvec2(0x08191908, 0x2b080808), uvec2(0x08192b19, 0x2b080808), uvec2(0x082b0808, 0x2b080808), uvec2(0x082b1919, 0x2b080808), + uvec2(0x19080819, 0x2b080808), uvec2(0x19081908, 0x2b080808), uvec2(0x19190808, 0x2b080808), uvec2(0x1919082b, 0x2b080808), + uvec2(0x19191919, 0x2b080808), uvec2(0x19192b08, 0x2b080808), uvec2(0x192b0819, 0x2b080808), uvec2(0x2b080808, 0x2b080808), + uvec2(0x2b081919, 0x2b080808), uvec2(0x2b190819, 0x2b080808), uvec2(0x2b191908, 0x2b080808), uvec2(0x08080819, 0x2b080819), + uvec2(0x08081908, 0x2b080819), uvec2(0x08082b19, 0x2b080819), uvec2(0x08190808, 0x2b080819), uvec2(0x0819082b, 0x2b080819), + uvec2(0x08191919, 0x2b080819), uvec2(0x08192b08, 0x2b080819), uvec2(0x082b0819, 0x2b080819), uvec2(0x082b1908, 0x2b080819), + uvec2(0x19080808, 0x2b080819), uvec2(0x1908082b, 0x2b080819), uvec2(0x19081919, 0x2b080819), uvec2(0x19082b08, 0x2b080819), + uvec2(0x19190819, 0x2b080819), uvec2(0x19191908, 0x2b080819), uvec2(0x2b080819, 0x2b080819), uvec2(0x2b081908, 0x2b080819), + uvec2(0x2b190808, 0x2b080819), uvec2(0x2b2b2b19, 0x2b080819), uvec2(0x08080808, 0x2b08082b), uvec2(0x08081919, 0x2b08082b), + uvec2(0x08082b2b, 0x2b08082b), uvec2(0x08190819, 0x2b08082b), uvec2(0x08191908, 0x2b08082b), uvec2(0x19080819, 0x2b08082b), + uvec2(0x19081908, 0x2b08082b), uvec2(0x19190808, 0x2b08082b), uvec2(0x08080819, 0x2b081908), uvec2(0x08081908, 0x2b081908), + uvec2(0x0808192b, 0x2b081908), uvec2(0x08082b19, 0x2b081908), uvec2(0x08190808, 0x2b081908), uvec2(0x0819082b, 0x2b081908), + uvec2(0x08191919, 0x2b081908), uvec2(0x08192b08, 0x2b081908), uvec2(0x082b0819, 0x2b081908), uvec2(0x19080808, 0x2b081908), + uvec2(0x1908082b, 0x2b081908), uvec2(0x19081919, 0x2b081908), uvec2(0x19082b08, 0x2b081908), uvec2(0x19190819, 0x2b081908), + uvec2(0x19191908, 0x2b081908), uvec2(0x192b0808, 0x2b081908), uvec2(0x2b080819, 0x2b081908), uvec2(0x2b081908, 0x2b081908), + uvec2(0x2b190808, 0x2b081908), uvec2(0x08080808, 0x2b081919), uvec2(0x0808082b, 0x2b081919), uvec2(0x08081919, 0x2b081919), + uvec2(0x08082b08, 0x2b081919), uvec2(0x08190819, 0x2b081919), uvec2(0x08191908, 0x2b081919), uvec2(0x082b0808, 0x2b081919), + uvec2(0x19080819, 0x2b081919), uvec2(0x19081908, 0x2b081919), uvec2(0x19190808, 0x2b081919), uvec2(0x2b080808, 0x2b081919), + uvec2(0x2b082b2b, 0x2b081919), uvec2(0x08080819, 0x2b08192b), uvec2(0x08081908, 0x2b08192b), uvec2(0x08190808, 0x2b08192b), + uvec2(0x082b2b19, 0x2b08192b), uvec2(0x19080808, 0x2b08192b), uvec2(0x08080808, 0x2b082b08), uvec2(0x08081919, 0x2b082b08), + uvec2(0x08190819, 0x2b082b08), uvec2(0x08191908, 0x2b082b08), uvec2(0x19080819, 0x2b082b08), uvec2(0x19081908, 0x2b082b08), + uvec2(0x19190808, 0x2b082b08), uvec2(0x2b2b082b, 0x2b082b08), uvec2(0x08080819, 0x2b082b19), uvec2(0x08081908, 0x2b082b19), + uvec2(0x19080808, 0x2b082b19), uvec2(0x192b1919, 0x2b082b19), uvec2(0x082b082b, 0x2b082b2b), uvec2(0x19192b08, 0x2b082b2b), + uvec2(0x19192b2b, 0x2b082b2b), uvec2(0x2b08082b, 0x2b082b2b), uvec2(0x2b2b082b, 0x2b082b2b), uvec2(0x08080819, 0x2b190808), + uvec2(0x08081908, 0x2b190808), uvec2(0x08082b19, 0x2b190808), uvec2(0x08190808, 0x2b190808), uvec2(0x0819082b, 0x2b190808), + uvec2(0x08191919, 0x2b190808), uvec2(0x08192b08, 0x2b190808), uvec2(0x082b1908, 0x2b190808), uvec2(0x19080808, 0x2b190808), + uvec2(0x1908082b, 0x2b190808), uvec2(0x19081919, 0x2b190808), uvec2(0x19082b08, 0x2b190808), uvec2(0x19190819, 0x2b190808), + uvec2(0x19191908, 0x2b190808), uvec2(0x192b0808, 0x2b190808), uvec2(0x2b080819, 0x2b190808), uvec2(0x2b081908, 0x2b190808), + uvec2(0x2b190808, 0x2b190808), uvec2(0x08080808, 0x2b190819), uvec2(0x08081919, 0x2b190819), uvec2(0x08190819, 0x2b190819), + uvec2(0x08191908, 0x2b190819), uvec2(0x19080819, 0x2b190819), uvec2(0x19081908, 0x2b190819), uvec2(0x19190808, 0x2b190819), + uvec2(0x19192b2b, 0x2b190819), uvec2(0x08080819, 0x2b19082b), uvec2(0x08081908, 0x2b19082b), uvec2(0x08190808, 0x2b19082b), + uvec2(0x19080808, 0x2b19082b), uvec2(0x2b2b192b, 0x2b19082b), uvec2(0x08080808, 0x2b191908), uvec2(0x0808082b, 0x2b191908), + uvec2(0x08081919, 0x2b191908), uvec2(0x08082b08, 0x2b191908), uvec2(0x08190819, 0x2b191908), uvec2(0x08191908, 0x2b191908), + uvec2(0x082b0808, 0x2b191908), uvec2(0x19080819, 0x2b191908), uvec2(0x19081908, 0x2b191908), uvec2(0x19190808, 0x2b191908), + uvec2(0x2b080808, 0x2b191908), uvec2(0x2b19192b, 0x2b191908), uvec2(0x08080819, 0x2b191919), uvec2(0x08081908, 0x2b191919), + uvec2(0x08190808, 0x2b191919), uvec2(0x19080808, 0x2b191919), uvec2(0x2b192b08, 0x2b191919), uvec2(0x2b2b0819, 0x2b191919), + uvec2(0x08080808, 0x2b19192b), uvec2(0x1908192b, 0x2b19192b), uvec2(0x192b1908, 0x2b19192b), uvec2(0x08080819, 0x2b192b08), + uvec2(0x08081908, 0x2b192b08), uvec2(0x08190808, 0x2b192b08), uvec2(0x082b192b, 0x2b192b08), uvec2(0x19080808, 0x2b192b08), + uvec2(0x2b2b2b19, 0x2b192b08), uvec2(0x08080808, 0x2b192b19), uvec2(0x19082b19, 0x2b192b19), uvec2(0x1919082b, 0x2b192b19), + uvec2(0x2b190808, 0x2b192b2b), uvec2(0x08080808, 0x2b2b0808), uvec2(0x08081919, 0x2b2b0808), uvec2(0x08082b2b, 0x2b2b0808), + uvec2(0x08191908, 0x2b2b0808), uvec2(0x082b082b, 0x2b2b0808), uvec2(0x082b2b2b, 0x2b2b0808), uvec2(0x19080819, 0x2b2b0808), + uvec2(0x19081908, 0x2b2b0808), uvec2(0x19190808, 0x2b2b0808), uvec2(0x2b2b082b, 0x2b2b0808), uvec2(0x2b2b2b2b, 0x2b2b0808), + uvec2(0x19080808, 0x2b2b0819), uvec2(0x192b1919, 0x2b2b0819), uvec2(0x0808082b, 0x2b2b082b), uvec2(0x08082b2b, 0x2b2b082b), + uvec2(0x082b082b, 0x2b2b082b), uvec2(0x082b2b08, 0x2b2b082b), uvec2(0x082b2b2b, 0x2b2b082b), uvec2(0x2b08082b, 0x2b2b082b), + uvec2(0x2b082b08, 0x2b2b082b), uvec2(0x2b082b2b, 0x2b2b082b), uvec2(0x2b2b2b08, 0x2b2b082b), uvec2(0x08080819, 0x2b2b1908), + uvec2(0x08081908, 0x2b2b1908), uvec2(0x08190808, 0x2b2b1908), uvec2(0x19080808, 0x2b2b1908), uvec2(0x2b082b19, 0x2b2b1908), + uvec2(0x2b2b1908, 0x2b2b1908), uvec2(0x08080808, 0x2b2b1919), uvec2(0x08192b19, 0x2b2b1919), uvec2(0x19190819, 0x2b2b192b), + uvec2(0x08082b2b, 0x2b2b2b08), uvec2(0x082b2b08, 0x2b2b2b08), uvec2(0x2b2b082b, 0x2b2b2b08), uvec2(0x19191908, 0x2b2b2b19), + uvec2(0x2b08192b, 0x2b2b2b19), uvec2(0x08082b08, 0x2b2b2b2b), uvec2(0x08082b2b, 0x2b2b2b2b), uvec2(0x082b0808, 0x2b2b2b2b), + uvec2(0x082b082b, 0x2b2b2b2b), uvec2(0x082b2b08, 0x2b2b2b2b), uvec2(0x2b082b08, 0x2b2b2b2b), uvec2(0x2b2b2b2b, 0x2b2b2b2b) +}; + +shared uvec2 iq2s_grid[1024]; + +void init_iq_shmem(uvec3 wgsize) +{ + // copy the table into shared memory and sync + for (uint i = gl_LocalInvocationIndex.x; i < iq2s_grid.length(); i += wgsize.x) { + iq2s_grid[i] = iq2s_grid_const[i]; + } + barrier(); +} + +#define QUANT_K QUANT_K_IQ2_S +#define QUANT_R QUANT_R_IQ2_S +#define A_TYPE block_iq2_s +#endif + +#define QUANT_K_IQ3_XXS 256 +#define QUANT_R_IQ3_XXS 1 + +struct block_iq3_xxs +{ + float16_t d; + uint8_t qs[QUANT_K_IQ3_XXS/4 + QUANT_K_IQ3_XXS/8]; +}; + +struct block_iq3_xxs_packed16 +{ + float16_t d; + uint16_t qs[QUANT_K_IQ3_XXS/8 + QUANT_K_IQ3_XXS/16]; +}; + +#if defined(DATA_A_IQ3_XXS) + +const uint32_t iq3xxs_grid_const[256] = { + 0x04040404, 0x04040414, 0x04040424, 0x04040c0c, 0x04040c1c, 0x04040c3e, 0x04041404, 0x04041414, + 0x04041c0c, 0x04042414, 0x04043e1c, 0x04043e2c, 0x040c040c, 0x040c041c, 0x040c0c04, 0x040c0c14, + 0x040c140c, 0x040c142c, 0x040c1c04, 0x040c1c14, 0x040c240c, 0x040c2c24, 0x040c3e04, 0x04140404, + 0x04140414, 0x04140424, 0x04140c0c, 0x04141404, 0x04141414, 0x04141c0c, 0x04141c1c, 0x04141c3e, + 0x04142c0c, 0x04142c3e, 0x04143e2c, 0x041c040c, 0x041c043e, 0x041c0c04, 0x041c0c14, 0x041c142c, + 0x041c3e04, 0x04240c1c, 0x04241c3e, 0x04242424, 0x04242c3e, 0x04243e1c, 0x04243e2c, 0x042c040c, + 0x042c043e, 0x042c1c14, 0x042c2c14, 0x04341c2c, 0x04343424, 0x043e0c04, 0x043e0c24, 0x043e0c34, + 0x043e241c, 0x043e340c, 0x0c04040c, 0x0c04041c, 0x0c040c04, 0x0c040c14, 0x0c04140c, 0x0c04141c, + 0x0c041c04, 0x0c041c14, 0x0c041c24, 0x0c04243e, 0x0c042c04, 0x0c0c0404, 0x0c0c0414, 0x0c0c0c0c, + 0x0c0c1404, 0x0c0c1414, 0x0c14040c, 0x0c14041c, 0x0c140c04, 0x0c140c14, 0x0c14140c, 0x0c141c04, + 0x0c143e14, 0x0c1c0404, 0x0c1c0414, 0x0c1c1404, 0x0c1c1c0c, 0x0c1c2434, 0x0c1c3434, 0x0c24040c, + 0x0c24042c, 0x0c242c04, 0x0c2c1404, 0x0c2c1424, 0x0c2c2434, 0x0c2c3e0c, 0x0c34042c, 0x0c3e1414, + 0x0c3e2404, 0x14040404, 0x14040414, 0x14040c0c, 0x14040c1c, 0x14041404, 0x14041414, 0x14041434, + 0x14041c0c, 0x14042414, 0x140c040c, 0x140c041c, 0x140c042c, 0x140c0c04, 0x140c0c14, 0x140c140c, + 0x140c1c04, 0x140c341c, 0x140c343e, 0x140c3e04, 0x14140404, 0x14140414, 0x14140c0c, 0x14140c3e, + 0x14141404, 0x14141414, 0x14141c3e, 0x14142404, 0x14142c2c, 0x141c040c, 0x141c0c04, 0x141c0c24, + 0x141c3e04, 0x141c3e24, 0x14241c2c, 0x14242c1c, 0x142c041c, 0x142c143e, 0x142c240c, 0x142c3e24, + 0x143e040c, 0x143e041c, 0x143e0c34, 0x143e242c, 0x1c04040c, 0x1c040c04, 0x1c040c14, 0x1c04140c, + 0x1c04141c, 0x1c042c04, 0x1c04342c, 0x1c043e14, 0x1c0c0404, 0x1c0c0414, 0x1c0c1404, 0x1c0c1c0c, + 0x1c0c2424, 0x1c0c2434, 0x1c14040c, 0x1c14041c, 0x1c140c04, 0x1c14142c, 0x1c142c14, 0x1c143e14, + 0x1c1c0c0c, 0x1c1c1c1c, 0x1c241c04, 0x1c24243e, 0x1c243e14, 0x1c2c0404, 0x1c2c0434, 0x1c2c1414, + 0x1c2c2c2c, 0x1c340c24, 0x1c341c34, 0x1c34341c, 0x1c3e1c1c, 0x1c3e3404, 0x24040424, 0x24040c3e, + 0x24041c2c, 0x24041c3e, 0x24042c1c, 0x24042c3e, 0x240c3e24, 0x24141404, 0x24141c3e, 0x24142404, + 0x24143404, 0x24143434, 0x241c043e, 0x241c242c, 0x24240424, 0x24242c0c, 0x24243424, 0x242c142c, + 0x242c241c, 0x242c3e04, 0x243e042c, 0x243e0c04, 0x243e0c14, 0x243e1c04, 0x2c040c14, 0x2c04240c, + 0x2c043e04, 0x2c0c0404, 0x2c0c0434, 0x2c0c1434, 0x2c0c2c2c, 0x2c140c24, 0x2c141c14, 0x2c143e14, + 0x2c1c0414, 0x2c1c2c1c, 0x2c240c04, 0x2c24141c, 0x2c24143e, 0x2c243e14, 0x2c2c0414, 0x2c2c1c0c, + 0x2c342c04, 0x2c3e1424, 0x2c3e2414, 0x34041424, 0x34042424, 0x34042434, 0x34043424, 0x340c140c, + 0x340c340c, 0x34140c3e, 0x34143424, 0x341c1c04, 0x341c1c34, 0x34242424, 0x342c042c, 0x342c2c14, + 0x34341c1c, 0x343e041c, 0x343e140c, 0x3e04041c, 0x3e04042c, 0x3e04043e, 0x3e040c04, 0x3e041c14, + 0x3e042c14, 0x3e0c1434, 0x3e0c2404, 0x3e140c14, 0x3e14242c, 0x3e142c14, 0x3e1c0404, 0x3e1c0c2c, + 0x3e1c1c1c, 0x3e1c3404, 0x3e24140c, 0x3e24240c, 0x3e2c0404, 0x3e2c0414, 0x3e2c1424, 0x3e341c04, +}; + +shared uint32_t iq3xxs_grid[256]; + +void init_iq_shmem(uvec3 wgsize) +{ + // copy the table into shared memory and sync + for (uint i = gl_LocalInvocationIndex.x; i < iq3xxs_grid.length(); i += wgsize.x) { + iq3xxs_grid[i] = iq3xxs_grid_const[i]; + } + barrier(); +} + +#define QUANT_K QUANT_K_IQ3_XXS +#define QUANT_R QUANT_R_IQ3_XXS +#define A_TYPE block_iq3_xxs +#define A_TYPE_PACKED16 block_iq3_xxs_packed16 +#endif + +#define QUANT_K_IQ3_S 256 +#define QUANT_R_IQ3_S 1 + +struct block_iq3_s +{ + float16_t d; + uint8_t qs[QUANT_K_IQ3_S/4]; + uint8_t qh[QUANT_K_IQ3_S/32]; + uint8_t signs[QUANT_K_IQ3_S/8]; + uint8_t scales[QUANT_K_IQ3_S/64]; +}; + +struct block_iq3_s_packed16 +{ + float16_t d; + uint16_t qs[QUANT_K_IQ3_S/4/2]; + uint16_t qh[QUANT_K_IQ3_S/32/2]; + uint16_t signs[QUANT_K_IQ3_S/8/2]; + uint16_t scales[QUANT_K_IQ3_S/64/2]; +}; + +#if defined(DATA_A_IQ3_S) + +const uint32_t iq3s_grid_const[512] = { + 0x01010101, 0x01010103, 0x01010105, 0x0101010b, 0x0101010f, 0x01010301, 0x01010303, 0x01010305, + 0x01010309, 0x0101030d, 0x01010501, 0x01010503, 0x0101050b, 0x01010707, 0x01010901, 0x01010905, + 0x0101090b, 0x0101090f, 0x01010b03, 0x01010b07, 0x01010d01, 0x01010d05, 0x01010f03, 0x01010f09, + 0x01010f0f, 0x01030101, 0x01030103, 0x01030105, 0x01030109, 0x01030301, 0x01030303, 0x0103030b, + 0x01030501, 0x01030507, 0x0103050f, 0x01030703, 0x0103070b, 0x01030909, 0x01030d03, 0x01030d0b, + 0x01030f05, 0x01050101, 0x01050103, 0x0105010b, 0x0105010f, 0x01050301, 0x01050307, 0x0105030d, + 0x01050503, 0x0105050b, 0x01050701, 0x01050709, 0x01050905, 0x0105090b, 0x0105090f, 0x01050b03, + 0x01050b07, 0x01050f01, 0x01050f07, 0x01070107, 0x01070303, 0x0107030b, 0x01070501, 0x01070505, + 0x01070703, 0x01070707, 0x0107070d, 0x01070909, 0x01070b01, 0x01070b05, 0x01070d0f, 0x01070f03, + 0x01070f0b, 0x01090101, 0x01090307, 0x0109030f, 0x01090503, 0x01090509, 0x01090705, 0x01090901, + 0x01090907, 0x01090b03, 0x01090f01, 0x010b0105, 0x010b0109, 0x010b0501, 0x010b0505, 0x010b050d, + 0x010b0707, 0x010b0903, 0x010b090b, 0x010b090f, 0x010b0d0d, 0x010b0f07, 0x010d010d, 0x010d0303, + 0x010d0307, 0x010d0703, 0x010d0b05, 0x010d0f03, 0x010f0101, 0x010f0105, 0x010f0109, 0x010f0501, + 0x010f0505, 0x010f050d, 0x010f0707, 0x010f0b01, 0x010f0b09, 0x03010101, 0x03010103, 0x03010105, + 0x03010109, 0x03010301, 0x03010303, 0x03010307, 0x0301030b, 0x0301030f, 0x03010501, 0x03010505, + 0x03010703, 0x03010709, 0x0301070d, 0x03010b09, 0x03010b0d, 0x03010d03, 0x03010f05, 0x03030101, + 0x03030103, 0x03030107, 0x0303010d, 0x03030301, 0x03030309, 0x03030503, 0x03030701, 0x03030707, + 0x03030903, 0x03030b01, 0x03030b05, 0x03030f01, 0x03030f0d, 0x03050101, 0x03050305, 0x0305030b, + 0x0305030f, 0x03050501, 0x03050509, 0x03050705, 0x03050901, 0x03050907, 0x03050b0b, 0x03050d01, + 0x03050f05, 0x03070103, 0x03070109, 0x0307010f, 0x03070301, 0x03070307, 0x03070503, 0x0307050f, + 0x03070701, 0x03070709, 0x03070903, 0x03070d05, 0x03070f01, 0x03090107, 0x0309010b, 0x03090305, + 0x03090309, 0x03090703, 0x03090707, 0x03090905, 0x0309090d, 0x03090b01, 0x03090b09, 0x030b0103, + 0x030b0301, 0x030b0307, 0x030b0503, 0x030b0701, 0x030b0705, 0x030b0b03, 0x030d0501, 0x030d0509, + 0x030d050f, 0x030d0909, 0x030d090d, 0x030f0103, 0x030f0107, 0x030f0301, 0x030f0305, 0x030f0503, + 0x030f070b, 0x030f0903, 0x030f0d05, 0x030f0f01, 0x05010101, 0x05010103, 0x05010107, 0x0501010b, + 0x0501010f, 0x05010301, 0x05010305, 0x05010309, 0x0501030d, 0x05010503, 0x05010507, 0x0501050f, + 0x05010701, 0x05010705, 0x05010903, 0x05010907, 0x0501090b, 0x05010b01, 0x05010b05, 0x05010d0f, + 0x05010f01, 0x05010f07, 0x05010f0b, 0x05030101, 0x05030105, 0x05030301, 0x05030307, 0x0503030f, + 0x05030505, 0x0503050b, 0x05030703, 0x05030709, 0x05030905, 0x05030b03, 0x05050103, 0x05050109, + 0x0505010f, 0x05050503, 0x05050507, 0x05050701, 0x0505070f, 0x05050903, 0x05050b07, 0x05050b0f, + 0x05050f03, 0x05050f09, 0x05070101, 0x05070105, 0x0507010b, 0x05070303, 0x05070505, 0x05070509, + 0x05070703, 0x05070707, 0x05070905, 0x05070b01, 0x05070d0d, 0x05090103, 0x0509010f, 0x05090501, + 0x05090507, 0x05090705, 0x0509070b, 0x05090903, 0x05090f05, 0x05090f0b, 0x050b0109, 0x050b0303, + 0x050b0505, 0x050b070f, 0x050b0901, 0x050b0b07, 0x050b0f01, 0x050d0101, 0x050d0105, 0x050d010f, + 0x050d0503, 0x050d0b0b, 0x050d0d03, 0x050f010b, 0x050f0303, 0x050f050d, 0x050f0701, 0x050f0907, + 0x050f0b01, 0x07010105, 0x07010303, 0x07010307, 0x0701030b, 0x0701030f, 0x07010505, 0x07010703, + 0x07010707, 0x0701070b, 0x07010905, 0x07010909, 0x0701090f, 0x07010b03, 0x07010d07, 0x07010f03, + 0x07030103, 0x07030107, 0x0703010b, 0x07030309, 0x07030503, 0x07030507, 0x07030901, 0x07030d01, + 0x07030f05, 0x07030f0d, 0x07050101, 0x07050305, 0x07050501, 0x07050705, 0x07050709, 0x07050b01, + 0x07070103, 0x07070301, 0x07070309, 0x07070503, 0x07070507, 0x0707050f, 0x07070701, 0x07070903, + 0x07070907, 0x0707090f, 0x07070b0b, 0x07070f07, 0x07090107, 0x07090303, 0x0709030d, 0x07090505, + 0x07090703, 0x07090b05, 0x07090d01, 0x07090d09, 0x070b0103, 0x070b0301, 0x070b0305, 0x070b050b, + 0x070b0705, 0x070b0909, 0x070b0b0d, 0x070b0f07, 0x070d030d, 0x070d0903, 0x070f0103, 0x070f0107, + 0x070f0501, 0x070f0505, 0x070f070b, 0x09010101, 0x09010109, 0x09010305, 0x09010501, 0x09010509, + 0x0901050f, 0x09010705, 0x09010903, 0x09010b01, 0x09010f01, 0x09030105, 0x0903010f, 0x09030303, + 0x09030307, 0x09030505, 0x09030701, 0x0903070b, 0x09030907, 0x09030b03, 0x09030b0b, 0x09050103, + 0x09050107, 0x09050301, 0x0905030b, 0x09050503, 0x09050707, 0x09050901, 0x09050b0f, 0x09050d05, + 0x09050f01, 0x09070109, 0x09070303, 0x09070307, 0x09070501, 0x09070505, 0x09070703, 0x0907070b, + 0x09090101, 0x09090105, 0x09090509, 0x0909070f, 0x09090901, 0x09090f03, 0x090b010b, 0x090b010f, + 0x090b0503, 0x090b0d05, 0x090d0307, 0x090d0709, 0x090d0d01, 0x090f0301, 0x090f030b, 0x090f0701, + 0x090f0907, 0x090f0b03, 0x0b010105, 0x0b010301, 0x0b010309, 0x0b010505, 0x0b010901, 0x0b010909, + 0x0b01090f, 0x0b010b05, 0x0b010d0d, 0x0b010f09, 0x0b030103, 0x0b030107, 0x0b03010b, 0x0b030305, + 0x0b030503, 0x0b030705, 0x0b030f05, 0x0b050101, 0x0b050303, 0x0b050507, 0x0b050701, 0x0b05070d, + 0x0b050b07, 0x0b070105, 0x0b07010f, 0x0b070301, 0x0b07050f, 0x0b070909, 0x0b070b03, 0x0b070d0b, + 0x0b070f07, 0x0b090103, 0x0b090109, 0x0b090501, 0x0b090705, 0x0b09090d, 0x0b0b0305, 0x0b0b050d, + 0x0b0b0b03, 0x0b0b0b07, 0x0b0d0905, 0x0b0f0105, 0x0b0f0109, 0x0b0f0505, 0x0d010303, 0x0d010307, + 0x0d01030b, 0x0d010703, 0x0d010707, 0x0d010d01, 0x0d030101, 0x0d030501, 0x0d03050f, 0x0d030d09, + 0x0d050305, 0x0d050709, 0x0d050905, 0x0d050b0b, 0x0d050d05, 0x0d050f01, 0x0d070101, 0x0d070309, + 0x0d070503, 0x0d070901, 0x0d09050b, 0x0d090907, 0x0d090d05, 0x0d0b0101, 0x0d0b0107, 0x0d0b0709, + 0x0d0b0d01, 0x0d0d010b, 0x0d0d0901, 0x0d0f0303, 0x0d0f0307, 0x0f010101, 0x0f010109, 0x0f01010f, + 0x0f010501, 0x0f010505, 0x0f01070d, 0x0f010901, 0x0f010b09, 0x0f010d05, 0x0f030105, 0x0f030303, + 0x0f030509, 0x0f030907, 0x0f03090b, 0x0f050103, 0x0f050109, 0x0f050301, 0x0f05030d, 0x0f050503, + 0x0f050701, 0x0f050b03, 0x0f070105, 0x0f070705, 0x0f07070b, 0x0f070b07, 0x0f090103, 0x0f09010b, + 0x0f090307, 0x0f090501, 0x0f090b01, 0x0f0b0505, 0x0f0b0905, 0x0f0d0105, 0x0f0d0703, 0x0f0f0101, +}; + +shared uint32_t iq3s_grid[512]; + +void init_iq_shmem(uvec3 wgsize) +{ + // copy the table into shared memory and sync + for (uint i = gl_LocalInvocationIndex.x; i < iq3s_grid.length(); i += wgsize.x) { + iq3s_grid[i] = iq3s_grid_const[i]; + } + barrier(); +} + +#define QUANT_K QUANT_K_IQ3_S +#define QUANT_R QUANT_R_IQ3_S +#define A_TYPE block_iq3_s +#define A_TYPE_PACKED16 block_iq3_s_packed16 +#endif + #define QUANT_K_IQ4_NL 32 #define QUANT_R_IQ4_NL 2 @@ -318,11 +1050,11 @@ const int8_t kvalues_iq4nl_const[16] = { shared FLOAT_TYPE kvalues_iq4nl[16]; -void init_iq4nl_shmem() +void init_iq_shmem(uvec3 wgsize) { // copy the table into shared memory and sync - if (gl_LocalInvocationIndex.x < 16) { - kvalues_iq4nl[gl_LocalInvocationIndex.x] = FLOAT_TYPE(kvalues_iq4nl_const[gl_LocalInvocationIndex.x]); + for (uint i = gl_LocalInvocationIndex.x; i < kvalues_iq4nl.length(); i += wgsize.x) { + kvalues_iq4nl[i] = FLOAT_TYPE(kvalues_iq4nl_const[i]); } barrier(); } diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp index e9c6cb9d4..93ddbfadc 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp @@ -55,6 +55,11 @@ const std::vector type_names = { "q4_k", "q5_k", "q6_k", + "iq2_xxs", + "iq2_xs", + "iq2_s", + "iq3_xxs", + "iq3_s", "iq4_nl" }; From eb7cf15a808d4d7a71eef89cc6a9b96fe82989dc Mon Sep 17 00:00:00 2001 From: Nigel Bosch Date: Wed, 29 Jan 2025 12:45:44 -0600 Subject: [PATCH 070/162] server : add /apply-template endpoint for additional use cases of Minja functionality (#11489) * add /apply-template endpoint to server * remove unnecessary line * add /apply-template documentation * return only "prompt" field in /apply-template * use suggested idea instead of my overly verbose way --- examples/server/README.md | 8 ++++++++ examples/server/server.cpp | 9 +++++++++ .../server/tests/unit/test_chat_completion.py | 15 +++++++++++++++ 3 files changed, 32 insertions(+) diff --git a/examples/server/README.md b/examples/server/README.md index e788d8b59..cedae0b6d 100644 --- a/examples/server/README.md +++ b/examples/server/README.md @@ -576,6 +576,14 @@ With input 'á' (utf8 hex: C3 A1) on tinyllama/stories260k `tokens`: Set the tokens to detokenize. +### POST `/apply-template`: Apply chat template to a conversation + +Uses the server's prompt template formatting functionality to convert chat messages to a single string expected by a chat model as input, but does not perform inference. Instead, the prompt string is returned in the `prompt` field of the JSON response. The prompt can then be modified as desired (for example, to insert "Sure!" at the beginning of the model's response) before sending to `/completion` to generate the chat response. + +*Options:* + +`messages`: (Required) Chat turns in the same format as `/v1/chat/completions`. + ### POST `/embedding`: Generate embedding of a given text > [!IMPORTANT] diff --git a/examples/server/server.cpp b/examples/server/server.cpp index c5efbdb09..6e28d283a 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -4124,6 +4124,14 @@ int main(int argc, char ** argv) { res_ok(res, root); }; + const auto handle_apply_template = [&ctx_server, ¶ms, &res_ok](const httplib::Request & req, httplib::Response & res) { + auto body = json::parse(req.body); + const auto & chat_template = body.contains("tools") && ctx_server.chat_templates.template_tool_use ? *ctx_server.chat_templates.template_tool_use : *ctx_server.chat_templates.template_default; + json data = oaicompat_completion_params_parse(body, chat_template, params.use_jinja); + + res_ok(res, {{ "prompt", data.at("prompt") }}); + }; + const auto handle_embeddings = [&handle_embeddings_impl](const httplib::Request & req, httplib::Response & res) { handle_embeddings_impl(req, res, OAICOMPAT_TYPE_NONE); }; @@ -4300,6 +4308,7 @@ int main(int argc, char ** argv) { svr->Post("/v1/reranking", handle_rerank); svr->Post("/tokenize", handle_tokenize); svr->Post("/detokenize", handle_detokenize); + svr->Post("/apply-template", handle_apply_template); // LoRA adapters hotswap svr->Get ("/lora-adapters", handle_lora_adapters_list); svr->Post("/lora-adapters", handle_lora_adapters_apply); diff --git a/examples/server/tests/unit/test_chat_completion.py b/examples/server/tests/unit/test_chat_completion.py index 2e15348dc..add3f810f 100644 --- a/examples/server/tests/unit/test_chat_completion.py +++ b/examples/server/tests/unit/test_chat_completion.py @@ -121,6 +121,21 @@ def test_chat_template(): assert res.body["__verbose"]["prompt"] == " <|start_header_id|>system<|end_header_id|>\n\nBook<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat is the best book<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n" +def test_apply_chat_template(): + global server + server.chat_template = "command-r" + server.start() + res = server.make_request("POST", "/apply-template", data={ + "messages": [ + {"role": "system", "content": "You are a test."}, + {"role": "user", "content":"Hi there"}, + ] + }) + assert res.status_code == 200 + assert "prompt" in res.body + assert res.body["prompt"] == "<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>You are a test.<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Hi there<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>" + + @pytest.mark.parametrize("response_format,n_predicted,re_content", [ ({"type": "json_object", "schema": {"const": "42"}}, 6, "\"42\""), ({"type": "json_object", "schema": {"items": [{"type": "integer"}]}}, 10, "[ -3000 ]"), From e0449763a4f335cca374254a72892141f41eaa59 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Thu, 30 Jan 2025 05:48:14 +0100 Subject: [PATCH 071/162] server : update json snippets in README.md [no ci] (#11492) This commit updates some of JSON snippets in README.md file and removes the `json` language tag from the code blocks. The motivation for this changes is that if there is invalid json in a code snippet these are highlighted in red which can make it somewhat difficult to read and can be a little distracting. --- examples/server/README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/examples/server/README.md b/examples/server/README.md index cedae0b6d..d1c9be589 100644 --- a/examples/server/README.md +++ b/examples/server/README.md @@ -460,7 +460,7 @@ These words will not be included in the completion, so make sure to add them to - Note: In streaming mode (`stream`), only `content`, `tokens` and `stop` will be returned until end of completion. Responses are sent using the [Server-sent events](https://html.spec.whatwg.org/multipage/server-sent-events.html) standard. Note: the browser's `EventSource` interface cannot be used due to its lack of `POST` request support. - `completion_probabilities`: An array of token probabilities for each completion. The array's length is `n_predict`. Each item in the array has a nested array `top_logprobs`. It contains at **maximum** `n_probs` elements: - ```json + ``` { "content": "", "tokens": [ generated token ids if requested ], @@ -561,7 +561,7 @@ If `with_pieces` is `true`: ``` With input 'á' (utf8 hex: C3 A1) on tinyllama/stories260k -```json +``` { "tokens": [ {"id": 198, "piece": [195]}, // hex C3 @@ -776,7 +776,7 @@ Same as the `/v1/embeddings` endpoint. **Response format** -```json +``` [ { "index": 0, From 7919256c57f05c09b0b50ec9abb37ff62dab7251 Mon Sep 17 00:00:00 2001 From: Guspan Tanadi <36249910+guspan-tanadi@users.noreply.github.com> Date: Thu, 30 Jan 2025 12:58:02 +0700 Subject: [PATCH 072/162] readme : reference examples relative links (#11505) --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ff8536773..382c67041 100644 --- a/README.md +++ b/README.md @@ -422,7 +422,7 @@ To learn more about model quantization, [read this documentation](examples/quant
-[^1]: [examples/perplexity/README.md](examples/perplexity/README.md) +[^1]: [examples/perplexity/README.md](./examples/perplexity/README.md) [^2]: [https://huggingface.co/docs/transformers/perplexity](https://huggingface.co/docs/transformers/perplexity) ## [`llama-bench`](examples/llama-bench) From 496e5bf46bab757d05e18227cb4e17055ae42f42 Mon Sep 17 00:00:00 2001 From: Isaac McFadyen Date: Thu, 30 Jan 2025 04:11:53 -0500 Subject: [PATCH 073/162] server : (docs) added response format for /apply-template [no ci] (#11503) --- examples/server/README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/examples/server/README.md b/examples/server/README.md index d1c9be589..44da503df 100644 --- a/examples/server/README.md +++ b/examples/server/README.md @@ -584,6 +584,10 @@ Uses the server's prompt template formatting functionality to convert chat messa `messages`: (Required) Chat turns in the same format as `/v1/chat/completions`. +**Response format** + +Returns a JSON object with a field `prompt` containing a string of the input messages formatted according to the model's chat template format. + ### POST `/embedding`: Generate embedding of a given text > [!IMPORTANT] From 4314e56c4f8c5091f45732f39bd94c0c6c323798 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Thu, 30 Jan 2025 11:05:00 +0100 Subject: [PATCH 074/162] server : use lambda instead of std::bind (#11507) This commit replaces the two usages of `std::bind` in favor of lambdas for the callback functions for `callback_new_task` and `callback_update_slots`. The motivation for this changes is consistency with the rest of the code in server.cpp (lambdas are used for all other callbacks/handlers). Also lambdas are more readable (perhaps this is subjective) but also they are recommended over `std::bind` in modern C++. Ref: https://github.com/LithoCoders/dailycpp/blob/master/EffectiveModernC%2B%2B/chapter6/Item34_Prefer_lambdas_to_std::bind.md --- examples/server/server.cpp | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/examples/server/server.cpp b/examples/server/server.cpp index 6e28d283a..b9aa5c81c 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -4387,11 +4387,13 @@ int main(int argc, char ** argv) { ctx_server.chat_templates.template_default->source().c_str(), common_chat_format_example(*ctx_server.chat_templates.template_default, ctx_server.params_base.use_jinja).c_str()); - ctx_server.queue_tasks.on_new_task(std::bind( - &server_context::process_single_task, &ctx_server, std::placeholders::_1)); + ctx_server.queue_tasks.on_new_task([&ctx_server](const server_task & task) { + ctx_server.process_single_task(task); + }); - ctx_server.queue_tasks.on_update_slots(std::bind( - &server_context::update_slots, &ctx_server)); + ctx_server.queue_tasks.on_update_slots([&ctx_server]() { + ctx_server.update_slots(); + }); shutdown_handler = [&](int) { ctx_server.queue_tasks.terminate(); From ffd0821c57edc7e5d04338ab0c6b1461198df15f Mon Sep 17 00:00:00 2001 From: mgroeber9110 <45620825+mgroeber9110@users.noreply.github.com> Date: Thu, 30 Jan 2025 11:10:59 +0100 Subject: [PATCH 075/162] vocab : correctly identify LF token for GPT-2 style BPE tokenizer (#11496) --- src/llama-vocab.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/llama-vocab.cpp b/src/llama-vocab.cpp index 561f8bdb8..ad9ffe66a 100644 --- a/src/llama-vocab.cpp +++ b/src/llama-vocab.cpp @@ -1692,7 +1692,7 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) { GGML_ASSERT(!ids.empty() && "model vocab missing newline token"); linefeed_id = ids[0]; } else { - const std::vector ids = tokenize("\xC4\x8A", false); // U+010A + const std::vector ids = tokenize("\n", false); //GGML_ASSERT(!ids.empty() && "model vocab missing newline token"); if (ids.empty()) { From 3d804dec7661fbb7de9b7f93267e2fc3ca0193c1 Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Thu, 30 Jan 2025 10:30:27 +0000 Subject: [PATCH 076/162] sync: minja (#11499) --- common/chat-template.hpp | 252 +++++++++++++++++++++++++++------------ common/minja.hpp | 119 +++++++++--------- 2 files changed, 238 insertions(+), 133 deletions(-) diff --git a/common/chat-template.hpp b/common/chat-template.hpp index 42ee0b615..75ba5d938 100644 --- a/common/chat-template.hpp +++ b/common/chat-template.hpp @@ -17,17 +17,26 @@ using json = nlohmann::ordered_json; namespace minja { +struct chat_template_caps { + bool supports_tools = false; + bool supports_tool_calls = false; + bool supports_tool_responses = false; + bool supports_system_role = false; + bool supports_parallel_tool_calls = false; + bool supports_tool_call_id = false; + // meta-llama/Llama-3.1-8B-Instruct expects arguments to be an object. + // Most other templates (and OpenAI's API) expect the arguments object to be stringified. + bool requires_object_arguments = false; + // CohereForAI/c4ai-command-r-plus simple variant + bool requires_non_null_content = false; + // MiniMaxAI/MiniMax-Text-01 special + bool requires_typed_content = false; +}; + class chat_template { - public: private: - bool supports_tools_ = true; - // Meta-Llama-3.1-8B-Instruct's template expects arguments to be an object. - // Most other templates (and OpenAI's API) expect the arguments object to be stringified. - bool requires_object_arguments_ = false; - bool requires_typed_content_ = false; - bool supports_system_role_ = true; - bool supports_parallel_tool_calls_ = false; + chat_template_caps caps_; std::string source_; std::string bos_token_; std::string eos_token_; @@ -41,15 +50,16 @@ class chat_template { { try { auto prompt = apply(messages, tools, add_generation_prompt, extra_context, /* adjust_inputs= */ false); - // fprintf(stderr, "Prompt: %s\n", prompt.c_str()); + // fprintf(stderr, "try_raw_render: %s\n", prompt.c_str()); return prompt; } catch (const std::exception & e) { - // fprintf(stderr, "Error: %s\n", e.what()); + // fprintf(stderr, "try_raw_render error: %s\n", e.what()); return ""; } } public: + chat_template(const std::string & source, const std::string & bos_token, const std::string & eos_token) : source_(source), bos_token_(bos_token), eos_token_(eos_token) { @@ -58,69 +68,120 @@ class chat_template { /* .lstrip_blocks = */ true, /* .keep_trailing_newline = */ false, }); - supports_tools_ = source.find("tools") != std::string::npos; - auto renders_string_arguments = - try_raw_render({ - { - {"role", "user"}, - {"content", "Hey"} - }, - { - {"role", "assistant"}, - {"tool_calls", json::array({ - { - {"id", "call_1___"}, - {"type", "function"}, - {"function", { - {"arguments", "{\"code\": \"print('Hello, World!')\"}"}, - {"name", "ipython"}, + auto contains = [](const std::string & haystack, const std::string & needle) { + return haystack.find(needle) != std::string::npos; + }; + + const std::string user_needle = ""; + const std::string sys_needle = ""; + const json dummy_str_user_msg = {{"role", "user"}, {"content", user_needle}}; + const json dummy_typed_user_msg = {{"role", "user"}, {"content", json::array({{{"type", "text"}, {"text", user_needle}}})}}; + + caps_.requires_typed_content = + !contains(try_raw_render(json::array({dummy_str_user_msg}), {}, false), user_needle) + && contains(try_raw_render(json::array({dummy_typed_user_msg}), {}, false), user_needle); + + const auto dummy_user_msg = caps_.requires_typed_content + ? dummy_typed_user_msg + : dummy_str_user_msg; + const json needle_system_msg = { + {"role", "system"}, + {"content", caps_.requires_typed_content ? json::array({{{"type", "text"}, {"text", sys_needle}}}) : json(sys_needle)}, + }; + + caps_.supports_system_role = contains(try_raw_render({needle_system_msg, dummy_user_msg,}, {}, false), sys_needle); + + auto out = try_raw_render(json::array({ + dummy_user_msg + }), json::array({ + { + {"name", "some_tool"}, + {"type", "function"}, + {"function", { + {"name", "some_tool"}, + {"description", "Some tool."}, + {"parameters", { + {"type", "object"}, + {"properties", { + {"arg", { + {"type", "string"}, + {"description", "Some argument."}, }}, - }, - })}, + }}, + {"required", json::array({ "arg" })}, + }}, + }}, + }, + }), false); + caps_.supports_tools = contains(out, "some_tool"); + + auto make_tool_calls_msg = [&](const json & tool_calls) { + return json { + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", tool_calls}, + }; + }; + auto make_tool_call = [](const std::string & tool_name, const json & arguments) { + return json { + {"id", "call_1___"}, + {"type", "function"}, + {"function", { + {"arguments", arguments}, + {"name", tool_name}, + }}, + }; + }; + const json dummy_args_obj {{"argument_needle", "print('Hello, World!')"}}; + + // Note: the arguments are rendered in both cases, but may be double-escaped, which we don't want. + out = try_raw_render(json::array({ + dummy_user_msg, + make_tool_calls_msg(json::array({make_tool_call("ipython", dummy_args_obj.dump())})), + }), {}, false); + auto tool_call_renders_str_arguments = contains(out, "\"argument_needle\":") || contains(out, "'argument_needle':"); + out = try_raw_render(json::array({ + dummy_user_msg, + make_tool_calls_msg(json::array({make_tool_call("ipython", dummy_args_obj)})), + }), {}, false); + auto tool_call_renders_obj_arguments = contains(out, "\"argument_needle\":") || contains(out, "'argument_needle':"); + + caps_.supports_tool_calls = tool_call_renders_str_arguments || tool_call_renders_obj_arguments; + caps_.requires_object_arguments = !tool_call_renders_str_arguments && tool_call_renders_obj_arguments; + auto out_empty = try_raw_render(json::array({dummy_user_msg, {{"role", "assistant"}, {"content", ""}}}), {}, false); + auto out_null = try_raw_render(json::array({dummy_user_msg, {{"role", "assistant"}, {"content", nullptr}}}), {}, false); + caps_.requires_non_null_content = contains(out_empty, user_needle) && !contains(out_null, user_needle); + + if (caps_.supports_tool_calls) { + auto dummy_args = caps_.requires_object_arguments ? dummy_args_obj : json(dummy_args_obj.dump()); + auto tc1 = make_tool_call("test_tool1", dummy_args); + auto tc2 = make_tool_call("test_tool2", dummy_args); + auto out = try_raw_render(json::array({ + dummy_user_msg, + make_tool_calls_msg(json::array({tc1, tc2})), + }), {}, false); + caps_.supports_parallel_tool_calls = contains(out, "test_tool1") && contains(out, "test_tool2"); + + out = try_raw_render(json::array({ + dummy_user_msg, + make_tool_calls_msg(json::array({tc1})), + { + {"role", "tool"}, + {"name", "test_tool1"}, + {"content", "Some response!"}, + {"tool_call_id", "call_911_"}, } - }, {}, false).find("{\"code\": \"print") != std::string::npos; - if (!renders_string_arguments) { - auto renders_object_arguments = - try_raw_render({ - { - {"role", "user"}, - {"content", "Hey"} - }, - { - {"role", "assistant"}, - {"tool_calls", json::array({ - { - {"id", "call_1___"}, - {"type", "function"}, - {"function", { - {"arguments", { - {"code", "print('Hello, World!')"}, - }}, - {"name", "ipython"}, - }}, - }, - })}, - } - }, {}, false).find("{\"code\": \"print") != std::string::npos; - requires_object_arguments_ = renders_object_arguments; + }), {}, false); + caps_.supports_tool_responses = contains(out, "Some response!"); + caps_.supports_tool_call_id = contains(out, "call_911_"); } - supports_parallel_tool_calls_ = source.find("tool_call_id") != std::string::npos; - - supports_system_role_ = try_raw_render({ - {{"role", "system"}, {"content", ""}}, - {{"role", "user"}, {"content", "Hey"}} - }, {}, false).find("") != std::string::npos; - - requires_typed_content_ = try_raw_render({{{"role", "user"}, {"content", "Hey"}}}, {}, false).find("Hey") == std::string::npos - && try_raw_render({{{"role", "user"}, {"content", {{{"type", "text"}, {"text", "Hey"}}}}}}, {}, false).find("Hey") != std::string::npos; } const std::string & source() const { return source_; } const std::string & bos_token() const { return bos_token_; } const std::string & eos_token() const { return eos_token_; } - bool supports_tools() const { return supports_tools_; } - bool supports_parallel_tool_calls() const { return supports_parallel_tool_calls_; } + const chat_template_caps & original_caps() const { return caps_; } std::string apply( const nlohmann::ordered_json & messages, @@ -131,13 +192,19 @@ class chat_template { { json actual_messages; - // First, "fix" messages so they have a chance to be rendered correctly by the template - - if (adjust_inputs && (requires_object_arguments_ || !supports_system_role_ || !supports_tools_ || requires_typed_content_)) { + auto needs_adjustments = adjust_inputs && (false + || !caps_.supports_system_role + || !caps_.supports_tools + || !caps_.supports_tool_responses + || !caps_.supports_tool_calls + || caps_.requires_object_arguments + || caps_.requires_typed_content + ); + if (needs_adjustments) { actual_messages = json::array(); auto add_message = [&](const json & msg) { - if (requires_typed_content_ && msg.contains("content") && !msg.at("content").is_null() && msg.at("content").is_string()) { + if (caps_.requires_typed_content && msg.contains("content") && !msg.at("content").is_null() && msg.at("content").is_string()) { actual_messages.push_back({ {"role", msg.at("role")}, {"content", {{ @@ -160,7 +227,9 @@ class chat_template { pending_system.clear(); } }; - for (const auto & message_ : messages) { + auto needs_tools_in_system = !tools.is_null() && tools.size() > 0 && !caps_.supports_tools; + + for (const auto & message_ : needs_tools_in_system ? add_system(messages, "Available tools: " + tools.dump(2)) : messages) { auto message = message_; if (!message.contains("role") || !message.contains("content")) { throw std::runtime_error("message must have 'role' and 'content' fields: " + message.dump()); @@ -168,16 +237,22 @@ class chat_template { std::string role = message.at("role"); if (message.contains("tool_calls")) { - if (requires_object_arguments_ || !supports_tools_) { + if (caps_.requires_object_arguments || !caps_.supports_tool_calls) { for (auto & tool_call : message.at("tool_calls")) { if (tool_call["type"] == "function") { auto & function = tool_call.at("function"); - std::string arguments = function.at("arguments"); - function["arguments"] = json::parse(arguments); + auto & arguments = function.at("arguments"); + if (arguments.is_string()) { + try { + arguments = json::parse(arguments.get()); + } catch (const std::exception & ecvt) { + fprintf(stderr, "Failed to parse arguments: %s\n", ecvt.what()); + } + } } } } - if (!supports_tools_) { + if (!caps_.supports_tool_calls) { auto content = message.at("content"); auto tool_calls = json::array(); for (const auto & tool_call : message.at("tool_calls")) { @@ -204,7 +279,7 @@ class chat_template { message.erase("tool_calls"); } } - if (!supports_tools_ && role == "tool") { + if (!caps_.supports_tool_responses && role == "tool") { message["role"] = "user"; auto obj = json { {"tool_response", { @@ -219,7 +294,7 @@ class chat_template { message.erase("name"); } - if (!message["content"].is_null() && !supports_system_role_) { + if (!message["content"].is_null() && !caps_.supports_system_role) { std::string content = message.at("content"); if (role == "system") { if (!pending_system.empty()) pending_system += "\n"; @@ -238,7 +313,9 @@ class chat_template { } add_message(message); } - flush_sys(); + if (!caps_.supports_system_role) { + flush_sys(); + } } else { actual_messages = messages; } @@ -261,7 +338,28 @@ class chat_template { } } - return template_root_->render(context); + auto ret = template_root_->render(context); + // fprintf(stderr, "actual_messages: %s\n", actual_messages.dump(2).c_str()); + // fprintf(stderr, "apply: %s\n\n", ret.c_str()); + return ret; + } + + static nlohmann::ordered_json add_system(const nlohmann::ordered_json & messages, const std::string & system_prompt) { + json messages_with_system = messages; + + if (messages_with_system.size() > 0 && messages_with_system[0].at("role") == "system") { + std::string existing_system = messages_with_system.at(0).at("content"); + messages_with_system[0] = json { + {"role", "system"}, + {"content", existing_system + "\n" + system_prompt}, + }; + } else { + messages_with_system.insert(messages_with_system.begin(), json { + {"role", "system"}, + {"content", system_prompt}, + }); + } + return messages_with_system; } }; diff --git a/common/minja.hpp b/common/minja.hpp index 80bdd4b41..f0e80fd7c 100644 --- a/common/minja.hpp +++ b/common/minja.hpp @@ -628,7 +628,7 @@ class Context : public std::enable_shared_from_this { if (parent_) return parent_->contains(key); return false; } - virtual void set(const Value & key, Value & value) { + virtual void set(const Value & key, const Value & value) { values_.set(key, value); } }; @@ -2648,31 +2648,34 @@ inline std::shared_ptr Context::builtins() { return filter.call(context, actual_args); }); }; - // https://jinja.palletsprojects.com/en/3.0.x/templates/#jinja-filters.reject - globals.set("reject", Value::callable([=](const std::shared_ptr & context, ArgumentsValue & args) { - args.expectArgs("reject", {2, (std::numeric_limits::max)()}, {0, 0}); - auto & items = args.args[0]; - auto filter_fn = context->get(args.args[1]); - if (filter_fn.is_null()) throw std::runtime_error("Undefined filter: " + args.args[1].dump()); + auto select_or_reject = [make_filter](bool is_select) { + return Value::callable([=](const std::shared_ptr & context, ArgumentsValue & args) { + args.expectArgs(is_select ? "select" : "reject", {2, (std::numeric_limits::max)()}, {0, 0}); + auto & items = args.args[0]; + auto filter_fn = context->get(args.args[1]); + if (filter_fn.is_null()) throw std::runtime_error("Undefined filter: " + args.args[1].dump()); - auto filter_args = Value::array(); - for (size_t i = 2, n = args.args.size(); i < n; i++) { - filter_args.push_back(args.args[i]); - } - auto filter = make_filter(filter_fn, filter_args); - - auto res = Value::array(); - for (size_t i = 0, n = items.size(); i < n; i++) { - auto & item = items.at(i); - ArgumentsValue filter_args; - filter_args.args.emplace_back(item); - auto pred_res = filter.call(context, filter_args); - if (!pred_res.to_bool()) { - res.push_back(item); + auto filter_args = Value::array(); + for (size_t i = 2, n = args.args.size(); i < n; i++) { + filter_args.push_back(args.args[i]); } - } - return res; - })); + auto filter = make_filter(filter_fn, filter_args); + + auto res = Value::array(); + for (size_t i = 0, n = items.size(); i < n; i++) { + auto & item = items.at(i); + ArgumentsValue filter_args; + filter_args.args.emplace_back(item); + auto pred_res = filter.call(context, filter_args); + if (pred_res.to_bool() == (is_select ? true : false)) { + res.push_back(item); + } + } + return res; + }); + }; + globals.set("select", select_or_reject(/* is_select= */ true)); + globals.set("reject", select_or_reject(/* is_select= */ false)); globals.set("map", Value::callable([=](const std::shared_ptr & context, ArgumentsValue & args) { auto res = Value::array(); if (args.args.size() == 1 && @@ -2720,41 +2723,45 @@ inline std::shared_ptr Context::builtins() { if (!text.empty() && text.back() == '\n') out += "\n"; return out; })); - globals.set("selectattr", Value::callable([=](const std::shared_ptr & context, ArgumentsValue & args) { - args.expectArgs("selectattr", {2, (std::numeric_limits::max)()}, {0, 0}); - auto & items = args.args[0]; - if (items.is_null()) - return Value::array(); - auto attr_name = args.args[1].get(); + auto select_or_reject_attr = [](bool is_select) { + return Value::callable([=](const std::shared_ptr & context, ArgumentsValue & args) { + args.expectArgs(is_select ? "selectattr" : "rejectattr", {2, (std::numeric_limits::max)()}, {0, 0}); + auto & items = args.args[0]; + if (items.is_null()) + return Value::array(); + auto attr_name = args.args[1].get(); - bool has_test = false; - Value test_fn; - ArgumentsValue test_args {{Value()}, {}}; - if (args.args.size() >= 3) { - has_test = true; - test_fn = context->get(args.args[2]); - if (test_fn.is_null()) throw std::runtime_error("Undefined test: " + args.args[2].dump()); - for (size_t i = 3, n = args.args.size(); i < n; i++) { - test_args.args.emplace_back(args.args[i]); - } - test_args.kwargs = args.kwargs; - } - - auto res = Value::array(); - for (size_t i = 0, n = items.size(); i < n; i++) { - auto & item = items.at(i); - auto attr = item.get(attr_name); - if (has_test) { - test_args.args[0] = attr; - if (test_fn.call(context, test_args).to_bool()) { - res.push_back(item); + bool has_test = false; + Value test_fn; + ArgumentsValue test_args {{Value()}, {}}; + if (args.args.size() >= 3) { + has_test = true; + test_fn = context->get(args.args[2]); + if (test_fn.is_null()) throw std::runtime_error("Undefined test: " + args.args[2].dump()); + for (size_t i = 3, n = args.args.size(); i < n; i++) { + test_args.args.emplace_back(args.args[i]); } - } else { - res.push_back(attr); + test_args.kwargs = args.kwargs; } - } - return res; - })); + + auto res = Value::array(); + for (size_t i = 0, n = items.size(); i < n; i++) { + auto & item = items.at(i); + auto attr = item.get(attr_name); + if (has_test) { + test_args.args[0] = attr; + if (test_fn.call(context, test_args).to_bool() == (is_select ? true : false)) { + res.push_back(item); + } + } else { + res.push_back(attr); + } + } + return res; + }); + }; + globals.set("selectattr", select_or_reject_attr(/* is_select= */ true)); + globals.set("rejectattr", select_or_reject_attr(/* is_select= */ false)); globals.set("range", Value::callable([=](const std::shared_ptr &, ArgumentsValue & args) { std::vector startEndStep(3); std::vector param_set(3); From c300e68ef490e6cf6c04ed96fd27a6a53ab8a422 Mon Sep 17 00:00:00 2001 From: uvos Date: Wed, 29 Jan 2025 17:46:23 +0100 Subject: [PATCH 077/162] CUDA/HIP: add warp_size to cuda_device_info --- ggml/src/ggml-cuda/common.cuh | 1 + ggml/src/ggml-cuda/ggml-cuda.cu | 6 ++++-- 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/ggml/src/ggml-cuda/common.cuh b/ggml/src/ggml-cuda/common.cuh index a66322da0..eec227dce 100644 --- a/ggml/src/ggml-cuda/common.cuh +++ b/ggml/src/ggml-cuda/common.cuh @@ -520,6 +520,7 @@ struct ggml_cuda_device_info { bool vmm; // virtual memory support size_t vmm_granularity; // granularity of virtual memory size_t total_vram; + int warp_size; // Number of threads in a dispatch }; cuda_device_info devices[GGML_CUDA_MAX_DEVICES] = {}; diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index de3f9c2ca..ecf06fec4 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -242,6 +242,7 @@ static ggml_cuda_device_info ggml_cuda_init() { info.devices[id].nsm = prop.multiProcessorCount; info.devices[id].smpb = prop.sharedMemPerBlock; + info.devices[id].warp_size = prop.warpSize; #if defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__) info.devices[id].smpbo = prop.sharedMemPerBlock; @@ -256,8 +257,9 @@ static ggml_cuda_device_info ggml_cuda_init() { info.devices[id].cc += prop.minor * 0x10; } } - GGML_LOG_INFO(" Device %d: %s, %s (0x%x), VMM: %s\n", - id, prop.name, prop.gcnArchName, info.devices[id].cc & 0xffff, device_vmm ? "yes" : "no"); + GGML_LOG_INFO(" Device %d: %s, %s (0x%x), VMM: %s, Wave Size: %d\n", + id, prop.name, prop.gcnArchName, info.devices[id].cc & 0xffff, + device_vmm ? "yes" : "no", prop.warpSize); #else info.devices[id].smpbo = prop.sharedMemPerBlockOptin; info.devices[id].cc = 100*prop.major + 10*prop.minor; From 6af1ca48cbdf9a438438afd0a9a549a272bc95bf Mon Sep 17 00:00:00 2001 From: uvos Date: Wed, 29 Jan 2025 19:12:42 +0100 Subject: [PATCH 078/162] HIP: Prepare reduction operators for wave 64 --- ggml/src/ggml-cuda/common.cuh | 59 +++++++++++++++------------------ ggml/src/ggml-cuda/ggml-cuda.cu | 4 +-- 2 files changed, 28 insertions(+), 35 deletions(-) diff --git a/ggml/src/ggml-cuda/common.cuh b/ggml/src/ggml-cuda/common.cuh index eec227dce..8d8d3932e 100644 --- a/ggml/src/ggml-cuda/common.cuh +++ b/ggml/src/ggml-cuda/common.cuh @@ -190,53 +190,46 @@ static __device__ void no_device_code( #define NO_DEVICE_CODE //GGML_ABORT("NO_DEVICE_CODE not valid in host code.") #endif // __CUDA_ARCH__ +template static __device__ __forceinline__ int warp_reduce_sum(int x) { #if !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= GGML_CUDA_CC_AMPERE return __reduce_add_sync(0xffffffff, x); #else #pragma unroll - for (int offset = 16; offset > 0; offset >>= 1) { - x += __shfl_xor_sync(0xffffffff, x, offset, 32); + for (int offset = width/2; offset > 0; offset >>= 1) { + x += __shfl_xor_sync(0xffffffff, x, offset, width); } return x; #endif // !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= GGML_CUDA_CC_AMPERE } +template static __device__ __forceinline__ float warp_reduce_sum(float x) { #pragma unroll - for (int offset = 16; offset > 0; offset >>= 1) { - x += __shfl_xor_sync(0xffffffff, x, offset, 32); + for (int offset = width/2; offset > 0; offset >>= 1) { + x += __shfl_xor_sync(0xffffffff, x, offset, width); } return x; } +template static __device__ __forceinline__ float2 warp_reduce_sum(float2 a) { #pragma unroll - for (int offset = 16; offset > 0; offset >>= 1) { - a.x += __shfl_xor_sync(0xffffffff, a.x, offset, 32); - a.y += __shfl_xor_sync(0xffffffff, a.y, offset, 32); + for (int offset = width/2; offset > 0; offset >>= 1) { + a.x += __shfl_xor_sync(0xffffffff, a.x, offset, width); + a.y += __shfl_xor_sync(0xffffffff, a.y, offset, width); } return a; } +template static __device__ __forceinline__ half2 warp_reduce_sum(half2 a) { #ifdef FP16_AVAILABLE - -#if defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__) #pragma unroll - for (int offset = 16; offset > 0; offset >>= 1) { - const half2 a_other = __shfl_xor_sync(0xffffffff, a, offset, 32); - reinterpret_cast(a.x) += __low2half(a_other); - reinterpret_cast(a.y) += __high2half(a_other); + for (int offset = width/2; offset > 0; offset >>= 1) { + a = __hadd2(a, __shfl_xor_sync(0xffffffff, a, offset, width)); } return a; -#else -#pragma unroll - for (int offset = 16; offset > 0; offset >>= 1) { - a = __hadd2(a, __shfl_xor_sync(0xffffffff, a, offset, 32)); - } - return a; -#endif // defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__) #else NO_DEVICE_CODE; @@ -244,10 +237,11 @@ static __device__ __forceinline__ half2 warp_reduce_sum(half2 a) { #endif // FP16_AVAILABLE } +template static __device__ __forceinline__ float warp_reduce_max(float x) { #pragma unroll - for (int offset = 16; offset > 0; offset >>= 1) { - x = fmaxf(x, __shfl_xor_sync(0xffffffff, x, offset, 32)); + for (int offset = width/2; offset > 0; offset >>= 1) { + x = fmaxf(x, __shfl_xor_sync(0xffffffff, x, offset, width)); } return x; } @@ -269,35 +263,34 @@ static __device__ __forceinline__ half ggml_cuda_hmax(const half a, const half b } static __device__ __forceinline__ half2 ggml_cuda_hmax2(const half2 a, const half2 b) { -#if !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) - -#if CUDART_VERSION >= CUDART_HMAX +#if defined(GGML_USE_HIP) && HIP_VERSION >= 50700000 + return half2(__hmax(a.x, b.x), __hmax(a.y, b.y)); +#elif !defined(GGML_USE_HIP) && CUDART_VERSION >= CUDART_HMAX return __hmax2(a, b); -#else +#elif !defined(GGML_USE_HIP) half2 ret; reinterpret_cast(ret.x) = __float2half(fmaxf( __low2float(a), __low2float(b))); reinterpret_cast(ret.y) = __float2half(fmaxf(__high2float(a), __high2float(b))); return ret; -#endif // CUDART_VERSION >= CUDART_HMAX - #else GGML_UNUSED(a); GGML_UNUSED(b); NO_DEVICE_CODE; -#endif // !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) +#endif } +template static __device__ __forceinline__ half2 warp_reduce_max(half2 x) { -#if !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= GGML_CUDA_CC_PASCAL +#if !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= GGML_CUDA_CC_PASCAL || (defined(GGML_USE_HIP) && HIP_VERSION >= 50700000) #pragma unroll - for (int offset = 16; offset > 0; offset >>= 1) { - x = ggml_cuda_hmax2(x, __shfl_xor_sync(0xffffffff, x, offset, 32)); + for (int offset = width/2; offset > 0; offset >>= 1) { + x = ggml_cuda_hmax2(x, __shfl_xor_sync(0xffffffff, x, offset, width)); } return x; #else GGML_UNUSED(x); NO_DEVICE_CODE; -#endif // !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= GGML_CUDA_CC_PASCAL +#endif // !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= GGML_CUDA_CC_PASCAL || (defined(GGML_USE_HIP) && HIP_VERSION >= 50700000) } #if CUDART_VERSION < CUDART_HMASK diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index ecf06fec4..383131c77 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -240,8 +240,8 @@ static ggml_cuda_device_info ggml_cuda_init() { info.default_tensor_split[id] = total_vram; total_vram += prop.totalGlobalMem; - info.devices[id].nsm = prop.multiProcessorCount; - info.devices[id].smpb = prop.sharedMemPerBlock; + info.devices[id].nsm = prop.multiProcessorCount; + info.devices[id].smpb = prop.sharedMemPerBlock; info.devices[id].warp_size = prop.warpSize; #if defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__) info.devices[id].smpbo = prop.sharedMemPerBlock; From 27d135c970c00f655d486f870edacded792bef5c Mon Sep 17 00:00:00 2001 From: uvos Date: Wed, 29 Jan 2025 19:36:00 +0100 Subject: [PATCH 079/162] HIP: require at least HIP 5.5 --- ggml/src/ggml-hip/CMakeLists.txt | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/ggml/src/ggml-hip/CMakeLists.txt b/ggml/src/ggml-hip/CMakeLists.txt index ecc3bc66d..7a877bdc1 100644 --- a/ggml/src/ggml-hip/CMakeLists.txt +++ b/ggml/src/ggml-hip/CMakeLists.txt @@ -40,6 +40,10 @@ find_package(hip REQUIRED) find_package(hipblas REQUIRED) find_package(rocblas REQUIRED) +if (${hip_VERSION} VERSION_LESS 5.5) + message(FATAL_ERROR "At least ROCM/HIP V5.5 is required") +endif() + message(STATUS "HIP and hipBLAS found") file(GLOB GGML_HEADERS_ROCM "../ggml-cuda/*.cuh") From 8b576b6c55bc4e6be898b47522f0ef402b93ef62 Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Thu, 30 Jan 2025 19:13:58 +0000 Subject: [PATCH 080/162] Tool call support (generic + native for Llama, Functionary, Hermes, Mistral, Firefunction, DeepSeek) w/ lazy grammars (#9639) --------- Co-authored-by: Xuan Son Nguyen Co-authored-by: Georgi Gerganov Co-authored-by: Xuan Son Nguyen --- .editorconfig | 8 + .github/workflows/server.yml | 2 +- Makefile | 9 + README.md | 1 + common/CMakeLists.txt | 2 + common/chat.cpp | 848 ++++++++++++++++++ common/chat.hpp | 50 ++ common/common.cpp | 22 +- common/common.h | 17 +- common/json-schema-to-grammar.cpp | 15 +- common/json-schema-to-grammar.h | 9 +- common/sampling.cpp | 11 +- examples/gbnf-validator/gbnf-validator.cpp | 2 +- examples/main/main.cpp | 27 +- examples/server/README.md | 76 ++ examples/server/server.cpp | 187 ++-- examples/server/tests/README.md | 13 +- examples/server/tests/pytest.ini | 4 + examples/server/tests/tests.sh | 11 +- .../server/tests/unit/test_chat_completion.py | 11 +- examples/server/tests/unit/test_tool_call.py | 352 ++++++++ examples/server/tests/utils.py | 6 +- examples/server/utils.hpp | 80 +- include/llama.h | 12 + ...reForAI-c4ai-command-r-plus-tool_use.jinja | 202 +++++ ...rch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja | 152 ++++ ...earch-Hermes-3-Llama-3.1-8B-tool_use.jinja | 152 ++++ .../templates/Qwen-Qwen2.5-7B-Instruct.jinja | 54 ++ ...seek-ai-DeepSeek-R1-Distill-Llama-8B.jinja | 1 + ...seek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja | 56 ++ ...fireworks-ai-llama-3-firefunction-v2.jinja | 57 ++ models/templates/google-gemma-2-2b-it.jinja | 4 + .../meetkai-functionary-medium-v3.1.jinja | 58 ++ .../meetkai-functionary-medium-v3.2.jinja | 287 ++++++ .../meta-llama-Llama-3.1-8B-Instruct.jinja | 109 +++ .../meta-llama-Llama-3.2-3B-Instruct.jinja | 93 ++ .../meta-llama-Llama-3.3-70B-Instruct.jinja | 109 +++ .../microsoft-Phi-3.5-mini-instruct.jinja | 8 + ...mistralai-Mistral-Nemo-Instruct-2407.jinja | 87 ++ scripts/fetch_server_test_models.py | 105 +++ ..._chat_template.py => get_chat_template.py} | 12 +- src/llama-grammar.cpp | 88 +- src/llama-grammar.h | 23 +- src/llama-sampling.cpp | 51 +- tests/CMakeLists.txt | 1 + tests/test-chat-template.cpp | 10 +- tests/test-chat.cpp | 521 +++++++++++ tests/test-grammar-integration.cpp | 2 +- 48 files changed, 3861 insertions(+), 156 deletions(-) create mode 100644 common/chat.cpp create mode 100644 common/chat.hpp create mode 100644 examples/server/tests/pytest.ini create mode 100644 examples/server/tests/unit/test_tool_call.py create mode 100644 models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja create mode 100644 models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja create mode 100644 models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja create mode 100644 models/templates/Qwen-Qwen2.5-7B-Instruct.jinja create mode 100644 models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja create mode 100644 models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja create mode 100644 models/templates/fireworks-ai-llama-3-firefunction-v2.jinja create mode 100644 models/templates/google-gemma-2-2b-it.jinja create mode 100644 models/templates/meetkai-functionary-medium-v3.1.jinja create mode 100644 models/templates/meetkai-functionary-medium-v3.2.jinja create mode 100644 models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja create mode 100644 models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja create mode 100644 models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja create mode 100644 models/templates/microsoft-Phi-3.5-mini-instruct.jinja create mode 100644 models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja create mode 100755 scripts/fetch_server_test_models.py rename scripts/{get_hf_chat_template.py => get_chat_template.py} (86%) mode change 100755 => 100644 create mode 100644 tests/test-chat.cpp diff --git a/.editorconfig b/.editorconfig index eac38a15f..5d63d0a51 100644 --- a/.editorconfig +++ b/.editorconfig @@ -40,3 +40,11 @@ indent_style = tab [examples/cvector-generator/*.txt] trim_trailing_whitespace = unset insert_final_newline = unset + +[models/templates/*.jinja] +indent_style = unset +indent_size = unset +end_of_line = unset +charset = unset +trim_trailing_whitespace = unset +insert_final_newline = unset diff --git a/.github/workflows/server.yml b/.github/workflows/server.yml index ed1c357a5..0cbc3d640 100644 --- a/.github/workflows/server.yml +++ b/.github/workflows/server.yml @@ -205,7 +205,7 @@ jobs: run: | cd examples/server/tests $env:PYTHONIOENCODING = ":replace" - pytest -v -x + pytest -v -x -m "not slow" - name: Slow tests id: server_integration_tests_slow diff --git a/Makefile b/Makefile index 295522ba3..ef152d246 100644 --- a/Makefile +++ b/Makefile @@ -52,6 +52,7 @@ TEST_TARGETS = \ tests/test-arg-parser \ tests/test-autorelease \ tests/test-backend-ops \ + tests/test-chat \ tests/test-chat-template \ tests/test-double-float \ tests/test-grammar-integration \ @@ -983,6 +984,7 @@ OBJ_COMMON = \ $(DIR_COMMON)/ngram-cache.o \ $(DIR_COMMON)/sampling.o \ $(DIR_COMMON)/speculative.o \ + $(DIR_COMMON)/chat.o \ $(DIR_COMMON)/build-info.o \ $(DIR_COMMON)/json-schema-to-grammar.o @@ -1361,6 +1363,8 @@ llama-server: \ examples/server/httplib.h \ examples/server/index.html.hpp \ examples/server/loading.html.hpp \ + common/chat.cpp \ + common/chat.hpp \ common/chat-template.hpp \ common/json.hpp \ common/minja.hpp \ @@ -1471,6 +1475,11 @@ tests/test-json-schema-to-grammar: tests/test-json-schema-to-grammar.cpp \ $(CXX) $(CXXFLAGS) -Iexamples/server -c $< -o $(call GET_OBJ_FILE, $<) $(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS) +tests/test-chat: tests/test-chat.cpp \ + $(OBJ_ALL) + $(CXX) $(CXXFLAGS) -Iexamples/server -c $< -o $(call GET_OBJ_FILE, $<) + $(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS) + tests/test-opt: tests/test-opt.cpp \ $(OBJ_GGML) $(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<) diff --git a/README.md b/README.md index 382c67041..d40309875 100644 --- a/README.md +++ b/README.md @@ -18,6 +18,7 @@ Inference of Meta's [LLaMA](https://arxiv.org/abs/2302.13971) model (and others) - **How to use [MTLResidencySet](https://developer.apple.com/documentation/metal/mtlresidencyset?language=objc) to keep the GPU memory active?** https://github.com/ggerganov/llama.cpp/pull/11427 - **VS Code extension for FIM completions:** https://github.com/ggml-org/llama.vscode +- Universal tool call support in `llama-server`: https://github.com/ggerganov/llama.cpp/pull/9639 - Vim/Neovim plugin for FIM completions: https://github.com/ggml-org/llama.vim - Introducing GGUF-my-LoRA https://github.com/ggerganov/llama.cpp/discussions/10123 - Hugging Face Inference Endpoints now support GGUF out of the box! https://github.com/ggerganov/llama.cpp/discussions/9669 diff --git a/common/CMakeLists.txt b/common/CMakeLists.txt index 24b7f8741..72f0915c1 100644 --- a/common/CMakeLists.txt +++ b/common/CMakeLists.txt @@ -56,6 +56,8 @@ add_library(${TARGET} STATIC arg.cpp arg.h base64.hpp + chat.cpp + chat.hpp chat-template.hpp common.cpp common.h diff --git a/common/chat.cpp b/common/chat.cpp new file mode 100644 index 000000000..d9a654892 --- /dev/null +++ b/common/chat.cpp @@ -0,0 +1,848 @@ +#include "chat.hpp" +#include "chat-template.hpp" +#include "json-schema-to-grammar.h" +#include "log.h" +#include "minja.hpp" + +std::string common_chat_format_name(common_chat_format format) { + switch (format) { + case COMMON_CHAT_FORMAT_CONTENT_ONLY: return "Content-only"; + case COMMON_CHAT_FORMAT_GENERIC: return "Generic"; + case COMMON_CHAT_FORMAT_MISTRAL_NEMO: return "Mistral Nemo"; + case COMMON_CHAT_FORMAT_LLAMA_3_X: return "Llama 3.x"; + case COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS: return "Llama 3.x with builtin tools"; + case COMMON_CHAT_FORMAT_DEEPSEEK_R1: return "DeepSeek R1"; + case COMMON_CHAT_FORMAT_FIREFUNCTION_V2: return "FireFunction v2"; + case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2: return "Functionary v3.2"; + case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1: return "Functionary v3.1 Llama 3.1"; + case COMMON_CHAT_FORMAT_HERMES_2_PRO: return "Hermes 2 Pro"; + default: + throw std::runtime_error("Unknown chat format"); + } +} + +const common_grammar_options grammar_options { + /* .dotall = */ false, + /* .compact_spaces = */ false, + // /* .compact_spaces = */ true, +}; + +static bool parse_json(std::string::const_iterator & it, const std::string::const_iterator & end, json & out) { + // // https://json.nlohmann.me/features/parsing/sax_interface/ + struct json_error_locator : public nlohmann::json_sax { + std::size_t position; + bool found_error; + + json_error_locator() : position(0), found_error(false) {} + + bool parse_error(std::size_t position, const std::string &, const json::exception &) override { + this->position = position - 1; + this->found_error = true; + return false; + } + bool null() override { return true; } + bool boolean(bool) override { return true; } + bool number_integer(number_integer_t) override { return true; } + bool number_unsigned(number_unsigned_t) override { return true; } + bool number_float(number_float_t, const string_t &) override { return true; } + bool string(string_t &) override { return true; } + bool binary(binary_t &) override { return true; } + bool start_object(std::size_t) override { return true; } + bool key(string_t &) override { return true; } + bool end_object() override { return true; } + bool start_array(std::size_t) override { return true; } + bool end_array() override { return true; } + }; + json_error_locator err_loc; + json::sax_parse(it, end, &err_loc); + + std::string::const_iterator temptative_end; + if (err_loc.found_error) { + temptative_end = it + err_loc.position; + } else { + temptative_end = end; + } + std::string json_sub {it, temptative_end}; + try { + out = json::parse(json_sub); + it = temptative_end; + return true; + } catch (const std::exception &) { + return false; + } +} + + +/** + * Takes a prefix regex that must have 1 group to capture the function name, a closing suffix, and expects json parameters in between. + * Aggregates the prefix, suffix and in-between text into the content. + */ +static common_chat_msg parse_json_tool_calls( + const std::string& input, + const std::optional & trigger_opt, + const std::regex & function_regex, + const std::regex & close_regex) { + std::smatch match; + + common_chat_msg result; + result.role = "assistant"; + + + auto end = input.end(); + auto it = input.begin(); + + if (trigger_opt) { + if (!std::regex_search(it, end, match, *trigger_opt)) { + result.content = input; + return result; + } + result.content = match.prefix().str(); + it = match.suffix().first; + } + + while (it != end) { + std::sregex_iterator rend; + std::sregex_iterator rit(it, end, function_regex); + if (rit == rend) { + fprintf(stderr, "No more tool calls found\n"); + result.content += std::string(it, end); + break; + } + auto name = rit->str(1); + result.content += std::string(it, rit->prefix().second); + it = rit->suffix().first; + + json arguments; + if (!parse_json(it, end, arguments)) { + throw std::runtime_error("Failed to parse json tool call arguments"); + } + if (!std::regex_search(it, end, match, close_regex)) { + throw std::runtime_error("Malformed input, missing closing pattern"); + } + it = match.suffix().first; + result.tool_calls.push_back({name, arguments.is_string() ? arguments.get() : arguments.dump(), /* id= */ ""}); + } + return result; +} + +static common_chat_msg parse_prefixed_json_tool_call_array(const std::string& input, const std::string & prefix, size_t rstrip_prefix = 0) { + auto content_end = input.find(prefix); + size_t tc_start = std::string::npos; + + common_chat_msg result; + result.role = "assistant"; + const auto process_tool_calls = [&](const json & tool_calls) { + for (const auto & tool_call : tool_calls) { + const auto & arguments = tool_call["arguments"]; + result.tool_calls.push_back({ + tool_call["name"], + arguments.is_string() ? arguments.get() : arguments.dump(), + tool_call.contains("id") ? tool_call["id"] : "", + }); + } + }; + if (content_end == std::string::npos) { + result.content = input; + } else { + tc_start = content_end + prefix.size() - rstrip_prefix; + result.content = input.substr(0, content_end); + auto tool_calls = json::parse(input.substr(tc_start)); + process_tool_calls(tool_calls); + } + return result; +} + +static void foreach_function(const json & tools, const std::function & fn) { + for (const auto & tool : tools) { + if (!tool.contains("type") || tool["type"] != "function" || !tool.contains("function")) { + LOG_INF("Skipping tool without function: %s", tool.dump(2).c_str()); + continue; + } + fn(tool); + } +} + +static common_chat_params common_chat_params_init_generic(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { + common_chat_params data; + + auto tool_call_schemas = json::array(); + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool["function"]; + auto tool_schema = json { + {"type", "object"}, + {"properties", { + {"name", { + {"type", "string"}, + {"const", function["name"]}, + }}, + {"arguments", function["parameters"]}, + }}, + {"required", json::array({"name", "arguments"})}, + }; + if (function.contains("description")) { + tool_schema["description"] = function["description"]; + } + if (inputs.parallel_tool_calls) { + tool_schema["properties"]["id"] = { + {"type", "string"}, + {"minLength", 4}, + }; + tool_schema["required"].push_back("id"); + } + tool_call_schemas.emplace_back(tool_schema); + }); + const auto tool_call = + inputs.parallel_tool_calls + ? json { + {"type", "object"}, + {"properties", { + {"tool_calls", { + {"type", "array"}, + {"items", tool_call_schemas.size() == 1 ? tool_call_schemas[0] : json { + {"anyOf", tool_call_schemas}, + }}, + {"minItems", 1}, + }}, + }}, + {"required", json::array({"tool_calls"})}, + } + : json { + {"type", "object"}, + {"properties", { + {"tool_call", tool_call_schemas.size() == 1 ? tool_call_schemas[0] : json { + {"anyOf", tool_call_schemas}, + }}, + }}, + {"required", json::array({"tool_call"})}, + }; + const auto schema = + inputs.tool_choice != "required" + ? json { + {"anyOf", json::array({ + tool_call, + { + {"type", "object"}, + {"properties", { + {"response", inputs.json_schema.is_null() + ? json {{"type", "string"}} + : inputs.json_schema + }, + }}, + {"required", json::array({"response"})}, + }, + })} + } + : tool_call; + + data.grammar_lazy = false; + data.grammar = build_grammar([&](const common_grammar_builder & builder) { + builder.add_schema("root", schema); + }, grammar_options); + + auto tweaked_messages = common_chat_template::add_system( + inputs.messages, + "Respond in JSON format, either with `tool_call` (a request to call tools) or with `response` reply to the user's request"); + + data.prompt = tmpl.apply(tweaked_messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.format = COMMON_CHAT_FORMAT_GENERIC; + return data; +} +static common_chat_msg common_chat_parse_generic(const std::string & input) { + json data = json::parse(input); + common_chat_msg result; + result.role = "assistant"; + if (data.contains("tool_calls")) { + for (const auto & tool_call : data["tool_calls"]) { + result.tool_calls.push_back({ + tool_call["name"], + tool_call["arguments"].dump(), + tool_call.contains("id") ? tool_call["id"] : "", + }); + } + } else if (data.contains("tool_call")) { + result.tool_calls.push_back({ + data["tool_call"]["name"], + data["tool_call"]["arguments"].dump(), + /* id= */ "", + }); + } else if (data.contains("response")) { + const auto & response = data["response"]; + result.content = response.is_string() ? response.get() : response.dump(2); + } + return result; +} + +static common_chat_params common_chat_params_init_mistral_nemo(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { + common_chat_params data; + data.grammar_lazy = inputs.tool_choice != "required"; + data.grammar = build_grammar([&](const common_grammar_builder & builder) { + auto schemas = json::array(); + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool["function"]; + schemas.push_back({ + {"type", "object"}, + {"properties", { + // Important note: the model is probably trained to take a JSON stringified arguments value. + // It's hard to constrain that for now (while reusing the JSON schema conversion), so we're just expecting a plain object. + {"name", { + {"type", "string"}, + {"const", function["name"]}, + }}, + {"arguments", function["parameters"]}, + {"id", { + {"type", "string"}, + // Nemo's template expects a 9-character alphanumeric ID. + {"pattern", "^[a-zA-Z0-9]{9}$"}, + }}, + }}, + {"required", json::array({"name", "arguments", "id"})}, + }); + }); + auto schema = json { + {"type", "array"}, + {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}}, + {"minItems", 1}, + }; + if (!inputs.parallel_tool_calls) { + schema["maxItems"] = 1; + } + builder.add_rule("root", "\"[TOOL_CALLS]\" " + builder.add_schema("tool_calls", schema)); + }, grammar_options); + data.grammar_triggers.push_back({"[TOOL_CALLS]", /* .at_start = */ true}); + data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.format = COMMON_CHAT_FORMAT_MISTRAL_NEMO; + return data; +} +static common_chat_msg common_chat_parse_mistral_nemo(const std::string & input) { + return parse_prefixed_json_tool_call_array(input, "[TOOL_CALLS]"); +} + +static void expect_tool_parameters(const std::string & name, const json & parameters, const std::vector & expected_properties) { + if (!parameters.is_object() || !parameters.contains("type") || parameters["type"] != "object" || !parameters.contains("properties") || !parameters.contains("required")) { + throw std::runtime_error("Parameters of tool " + name + " must be an object w/ required properties"); + } + const auto & parameters_properties = parameters.at("properties"); + const auto & parameters_required = parameters.at("required"); + for (const auto & prop : expected_properties) { + if (!parameters_properties.contains(prop)) { + throw std::runtime_error("Parameters of tool " + name + " is missing property: " + prop); + } + if (std::find(parameters_required.begin(), parameters_required.end(), json(prop)) == parameters_required.end()) { + throw std::runtime_error("Parameters of tool " + name + " must have property marked as required: " + prop); + } + } + if (parameters_properties.size() != expected_properties.size()) { + throw std::runtime_error("Parameters of tool " + name + " must only have these properties:" + string_join(expected_properties, ", ")); + } +} + +static common_chat_params common_chat_params_init_llama_3_1_tool_calls(const common_chat_template & tmpl, const struct common_chat_inputs & inputs, bool allow_python_tag_builtin_tools) { + auto builtin_tools = json::array(); + common_chat_params data; + data.grammar_lazy = inputs.tool_choice != "required"; + data.grammar = build_grammar([&](const common_grammar_builder & builder) { + std::vector tool_rules; + + auto handle_builtin_tool = [&](const std::string & name, const json & parameters) { + if (name == "wolfram_alpha") { + // https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/tool_runtime/wolfram_alpha/wolfram_alpha.py + expect_tool_parameters(name, parameters, {"query"}); + } else if (name == "web_search" || name == "brave_search") { + // https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/tool_runtime/brave_search/brave_search.py + expect_tool_parameters(name, parameters, {"query"}); + } else if (name == "python" || name == "code_interpreter") { + // https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/inline/tool_runtime/code_interpreter/code_interpreter.py + expect_tool_parameters(name, parameters, {"code"}); + } else { + return false; + } + + std::vector kvs; + for (const auto & [key, value] : parameters.at("properties").items()) { + kvs.push_back("\"" + key + "=\" " + builder.add_schema(name + "-args-" + key, value)); + } + + tool_rules.push_back( + builder.add_rule( + name + "-call", + "\"<|python_tag|>" + name + ".call(\" " + string_join(kvs, " \", \" ") + " \")\"")); + builtin_tools.push_back(name); + + return true; + }; + + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool["function"]; + std::string name = function["name"]; + auto parameters = function["parameters"]; + builder.resolve_refs(parameters); + + // https://github.com/meta-llama/llama-stack/tree/main/llama_stack/providers/remote/tool_runtime + if (allow_python_tag_builtin_tools) { + handle_builtin_tool(name, parameters); + } + tool_rules.push_back( + builder.add_rule( + name + "-call", + "\"{\" ( \"\\\"type\\\": \\\"function\\\", \" | space ) " + "\"\\\"name\\\": \\\"" + name + "\\\", \\\"parameters\\\": \" " + + builder.add_schema(name + "-args", parameters) + + " \"}\"")); + data.grammar_triggers.push_back({"{\"name\": \"" + name + "\"", /* .at_start = */ true}); + }); + data.grammar_triggers.push_back({"{\"name\":", /* .at_start = */ true}); + data.grammar_triggers.push_back({"{\"type\": \"function\"", /* .at_start = */ true}); + if (!builtin_tools.empty()) { + data.grammar_triggers.push_back({"<|python_tag|>", /* .at_start = */ false}); + } + builder.add_rule("root", string_join(tool_rules, " | ")); + }, grammar_options); + data.additional_stops.push_back("<|eom_id|>"); + data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt, { + {"tools_in_user_message", false}, + {"builtin_tools", builtin_tools.empty() ? json() : builtin_tools}, + }); + data.format = allow_python_tag_builtin_tools && !builtin_tools.empty() + ? COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS + : COMMON_CHAT_FORMAT_LLAMA_3_X; + return data; +} +static common_chat_msg common_chat_parse_llama_3_1(const std::string & input, bool with_builtin_tools = false) { + // TODO: tighten & simplify the parser, don't accept leading text context. + static std::regex function_regex("\\{[\\s\\n\\r]*(?:\"type\"[\\s\\n\\r]*:[\\s\\n\\r]*\"function\"[\\s\\n\\r]*,[\\s\\n\\r]*|[\\s\\n\\r]*)\"name\"[\\s\\n\\r]*:[\\s\\n\\r]*\"([^\"]+)\"[\\s\\n\\r]*,[\\s\\n\\r]*\"parameters\": "); + static std::regex close_regex("\\}"); + static std::regex builtin_call_regex("<\\|python_tag\\|>([^.(]+)\\.call\\((.*)\\)"); + + if (with_builtin_tools) { + std::smatch match; + if (std::regex_match(input, match, builtin_call_regex)) { + auto name = match[1].str(); + auto raw_args = match[2].str(); + + // TODO: if/when builtin tools start accepting more than 1 argument, use parse_json for real parsing. + auto it_eq = raw_args.find('='); + auto arg_name = raw_args.substr(0, it_eq); + auto arg_value_str = raw_args.substr(it_eq + 1); + auto arg_value = json::parse(arg_value_str); + + return { + /* .role = */ "assistant", + /* .content = */ match.prefix().str(), + /* .tool_calls = */ { + { + /* .name = */ match[1], + /* .arguments = */ (json { + {arg_name, arg_value}, + }).dump(), + /* .id = */ "", + }, + }, + }; + } + } + return parse_json_tool_calls(input, std::nullopt, function_regex, close_regex); +} + +static common_chat_params common_chat_params_init_deepseek_r1(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { + common_chat_params data; + data.grammar_lazy = inputs.tool_choice != "required"; + data.grammar = build_grammar([&](const common_grammar_builder & builder) { + std::vector tool_rules; + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool["function"]; + std::string name = function["name"]; + auto parameters = function["parameters"]; + auto args_rule = builder.add_schema(name + "-args", parameters); + tool_rules.push_back(builder.add_rule(name + "-call", + "\"<｜tool▁call▁begin｜>function<｜tool▁sep｜>" + name + "\\n```json\\n\" " + args_rule + " \"```<｜tool▁call▁end｜>\"")); + }); + data.grammar_triggers.push_back({"<｜tool▁calls▁begin｜>", /* .at_start = */ false}); + builder.add_rule("root", "\"<｜tool▁calls▁begin｜>\" (" + string_join(tool_rules, " | ") + ")" + (inputs.parallel_tool_calls ? "*" : "") + " space"); + }, grammar_options); + data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.format = COMMON_CHAT_FORMAT_DEEPSEEK_R1; + return data; +} +static common_chat_msg common_chat_parse_deepseek_r1(const std::string & input) { + static std::regex trigger_regex("<｜tool▁calls▁begin｜>"); + static std::regex function_regex("<｜tool▁call▁begin｜>function<｜tool▁sep｜>([^\n]+)\n```json\n"); + static std::regex close_regex("```<｜tool▁call▁end｜>"); + return parse_json_tool_calls(input, trigger_regex, function_regex, close_regex); +} + +static common_chat_params common_chat_params_init_firefunction_v2(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { + fprintf(stderr, "%s\n", __func__); + common_chat_params data; + data.prompt = tmpl.apply(inputs.messages, /* tools= */ nullptr, inputs.add_generation_prompt, { + {"datetime", "Jan 29 2025 13:00:00 GMT"}, + {"functions", json(inputs.tools.empty() ? "" : inputs.tools.dump(2))}, + }, /* adjust_inputs= */ false); + if (!inputs.tools.is_null() && !inputs.tools.empty()) { + data.grammar_lazy = inputs.tool_choice != "required"; + data.grammar = build_grammar([&](const common_grammar_builder & builder) { + auto schemas = json::array(); + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool["function"]; + schemas.push_back({ + {"type", "object"}, + {"properties", { + {"name", { + {"type", "string"}, + {"const", function["name"]}, + }}, + {"arguments", function["parameters"]}, + }}, + {"required", json::array({"name", "arguments", "id"})}, + }); + }); + auto schema = json { + {"type", "array"}, + {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}}, + {"minItems", 1}, + }; + if (!inputs.parallel_tool_calls) { + schema["maxItems"] = 1; + } + builder.add_rule("root", "\" functools\"? " + builder.add_schema("tool_calls", schema)); + }, grammar_options); + data.grammar_triggers.push_back({" functools[", /* .at_start = */ false}); + data.format = COMMON_CHAT_FORMAT_FIREFUNCTION_V2; + } else { + data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY; + } + return data; +} +static common_chat_msg common_chat_parse_firefunction_v2(const std::string & input) { + return parse_prefixed_json_tool_call_array(input, " functools[", /* rstrip_prefix= */ 1); +} + +static common_chat_params common_chat_params_init_functionary_v3_2(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { + // >>>all\nlet's call functions>>>fn1\n{"arg1": 1...}\n>>>fn2\n{"arg1": 1...}... + // Using ">>>f1\n", ">>>f2\n"... as trigger words for the grammar + common_chat_params data; + data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.format = COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2; + if (!inputs.tools.is_null() && !inputs.tools.empty()) { + data.grammar_lazy = inputs.tool_choice != "required"; + data.grammar = build_grammar([&](const common_grammar_builder & builder) { + std::vector first_tool_rules; + std::vector subsequent_tool_rules; + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool["function"]; + std::string name = function["name"]; + auto parameters = function["parameters"]; + auto args_rule = builder.add_schema(name + "-args", parameters); + first_tool_rules.push_back(builder.add_rule(name + "-call", "\"" + name + "\\n\" " + args_rule)); + subsequent_tool_rules.push_back(builder.add_rule(name + "-call2", "\">>>" + name + "\\n\" " + args_rule)); + data.grammar_triggers.push_back({name, /* .at_start = */ true}); + data.grammar_triggers.push_back({">>>" + name, /* .at_start = */ false}); + }); + auto first_rule = first_tool_rules.empty() ? "" : builder.add_rule("first_tool_call", string_join(first_tool_rules, " | ")) + " space"; + if (inputs.parallel_tool_calls) { + auto subsequent_rule = builder.add_rule("subsequent_tool_call", string_join(subsequent_tool_rules, " | ")) + " space"; + builder.add_rule("root", first_rule + " (" + subsequent_rule + ")*"); + } else { + builder.add_rule("root", first_rule); + } + + }, grammar_options); + } + return data; +} + +static bool consume(std::string::const_iterator & it, const std::string::const_iterator & end, const std::string & expected) { + auto expected_it = expected.begin(); + auto tmp_it = it; + while (tmp_it != end && expected_it != expected.end() && *tmp_it == *expected_it) { + ++tmp_it; + ++expected_it; + } + if (expected_it == expected.end()) { + it = tmp_it; + return true; + } + return false; +} + +static common_chat_msg common_chat_parse_functionary_v3_2(const std::string & input) { + static std::regex function_regex(R"((?:>>>)?(\w+)\n)"); + static std::regex close_regex(R"($|(?=>>>))"); + + std::string content; + auto it = input.begin(); + const auto end = input.end(); + + if (consume(it, end, "all\n")) { + std::smatch match; + if (std::regex_search(it, end, match, function_regex)) { + auto fun_it = match.prefix().second; + content = std::string(it, fun_it); + it = fun_it; + } else { + common_chat_msg res; + res.role = "assistant"; + res.content = std::string(it, end); + return res; + } + } + // TODO: tighten & simplify. + auto res = parse_json_tool_calls(std::string(it, end), std::nullopt, function_regex, close_regex); + res.content = content; + return res; +} + +static common_chat_params common_chat_params_init_functionary_v3_1_llama_3_1(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { + // https://github.com/MeetKai/functionary/blob/main/tests/prompt_test_v3-llama3.1.txt + common_chat_params data; + json tools = inputs.tools.is_null() ? inputs.tools : json::array(); + std::string python_code_argument_name; + auto has_raw_python = false; + + data.grammar_lazy = inputs.tool_choice != "required"; + data.grammar = build_grammar([&](const common_grammar_builder & builder) { + std::vector tool_rules; + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool["function"]; + const auto & parameters = function["parameters"]; + std::string name = function["name"]; + if (name == "python" || name == "ipython") { + if (!parameters.contains("type")) { + throw std::runtime_error("Missing type in python tool"); + } + has_raw_python = true; + auto type = parameters.at("type"); + if (type == "object") { + auto properties = parameters.at("properties"); + for (auto it = properties.begin(); it != properties.end(); ++it) { + if (it.value().at("type") == "string") { + if (!python_code_argument_name.empty()) { + throw std::runtime_error("Multiple string arguments found in python tool"); + } + python_code_argument_name = it.key(); + } + } + if (python_code_argument_name.empty()) { + throw std::runtime_error("No string argument found in python tool"); + } + } else if (type != "string") { + throw std::runtime_error("Invalid type in python tool: " + type.dump()); + } + } + tool_rules.push_back(builder.add_rule(name + "-call", "\"\" " + builder.add_schema(name + "-args", parameters) + " \"\" space")); + }); + if (has_raw_python) { + tool_rules.push_back(builder.add_rule("python-call", "\"<|python_tag|>\" .*")); + data.grammar_triggers.push_back({"<|python_tag|>", /* .at_start = */ false}); + } + auto tool_call = builder.add_rule("tool_call", string_join(tool_rules, " | ")) + " space"; + builder.add_rule("root", inputs.parallel_tool_calls ? "(" + tool_call + ")+" : tool_call); + data.grammar_triggers.push_back({"([\s\S\n]*)$)"); + std::smatch match; + if (std::regex_search(input, match, python_tag_regex)) { + auto code = match[1].str(); + return { + /* .role = */ "assistant", + /* .content = */ match.prefix().str(), + /* .tool_calls = */ { + { + /* .name = */ "python", + /* .arguments = */ (json {{"code", code}}).dump(), + /* .id = */ "", + }, + } + }; + } + static std::regex function_regex(R"()"); + static std::regex close_regex(R"()"); + // TODO: tighten & simplify. + return parse_json_tool_calls(input, std::nullopt, function_regex, close_regex); +} + +static common_chat_params common_chat_params_init_hermes_2_pro(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { + common_chat_params data; + // (content)?({"name": "foo", "arguments": {"a": 1}})* + data.grammar_lazy = inputs.tool_choice != "required"; + data.grammar = build_grammar([&](const common_grammar_builder & builder) { + std::vector tool_rules; + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool["function"]; + std::string name = function["name"]; + auto parameters = function["parameters"]; + builder.resolve_refs(parameters); + tool_rules.push_back(builder.add_schema(name + "-call", { + {"type", "object"}, + {"properties", json { + {"name", json {{"const", name}}}, + {"arguments", parameters}, + }}, + {"required", json::array({"name", "arguments"})}, + })); + }); + auto tool_call = "\"\" space " + builder.add_rule("tool_call", string_join(tool_rules, " | ")) + " \"\" space"; + builder.add_rule("root", inputs.parallel_tool_calls ? "(" + tool_call + ")+" : tool_call); + data.grammar_triggers.push_back({"", /* .at_start = */ false}); + // Not really a trigger but need to print this special token to get a successful parse. + data.grammar_triggers.push_back({"", /* .at_start = */ false}); + }, grammar_options); + + data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.format = COMMON_CHAT_FORMAT_HERMES_2_PRO; + return data; +} +static common_chat_msg common_chat_parse_hermes_2_pro(const std::string & input) { + try { + std::regex start_pattern(R"([\n\s]*)"); + std::regex middle_pattern(R"([\n\s]*[\n\s]*)"); + std::regex end_pattern(R"([\n\s]*[\n\s]*$)"); + + auto end = input.end(); + std::sregex_iterator rend; + std::sregex_iterator rit(input.begin(), end, start_pattern); + if (rit == rend) { + return { + /* .role = */ "assistant", + /* .content = */ input, + /* .tool_calls = */ {}, + }; + } + + common_chat_msg result; + result.role = "assistant"; + result.content = rit->prefix(); + + auto it = rit->suffix().first; + while (it != end) { + json call; + if (!parse_json(it, end, call)) { + throw std::runtime_error("Failed to parse json tool call"); + } + const auto & arguments = call["arguments"]; + result.tool_calls.push_back({ + call["name"], + arguments.dump(), + // arguments.is_string() ? arguments.get() : arguments.dump(), + /* id= */ "", + }); + rit = {it, end, middle_pattern}; + if (rit != rend) { + it = rit->suffix().first; + } else { + rit = {it, end, end_pattern}; + if (rit == rend) { + throw std::runtime_error("Malformed input, missing "); + } + break; + } + } + return result; + } catch (const std::exception & e) { + return { + /* .role = */ "assistant", + /* .content = */ input, + /* .tool_calls = */ {}, + }; + } +} + +static common_chat_params common_chat_params_init_without_tools(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { + common_chat_params data; + data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY; + data.grammar_lazy = false; + if (!inputs.json_schema.is_null()) { + if (!inputs.grammar.empty()) { + throw std::runtime_error("Either \"json_schema\" or \"grammar\" can be specified, but not both"); + } + data.grammar = json_schema_to_grammar(inputs.json_schema); + } else { + data.grammar = inputs.grammar.empty(); + } + return data; +} + +common_chat_params common_chat_params_init(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { + auto has_tools = !inputs.tools.is_null() && inputs.tool_choice != "none"; + LOG_DBG("[%s] has_tools=%s\n", __func__, has_tools ? "true" : "false"); + + if (has_tools && !inputs.grammar.empty()) { + throw std::runtime_error("Cannot specify grammar with tools"); + } + + const auto & src = tmpl.source(); + if (src.find(">>>all") != std::string::npos) { + // Functionary prepends "all\n" to plain content outputs, so we use the parser no matter when + return common_chat_params_init_functionary_v3_2(tmpl, inputs); + } + if (src.find(" functools[") != std::string::npos) { + // Firefunction v2 requires datetime and functions in the context, even w/o tools. + return common_chat_params_init_firefunction_v2(tmpl, inputs); + } + + if (!has_tools) { + return common_chat_params_init_without_tools(tmpl, inputs); + } + + if (src.find("") != std::string::npos) { + return common_chat_params_init_hermes_2_pro(tmpl, inputs); + } + if (src.find("<|start_header_id|>") != std::string::npos + && src.find("ipython<|end_header_id|>") != std::string::npos) { + auto allow_python_tag_builtin_tools = src.find("<|python_tag|>") != std::string::npos; + return common_chat_params_init_llama_3_1_tool_calls(tmpl, inputs, allow_python_tag_builtin_tools); + } + if (src.find("<｜tool▁calls▁begin｜>") != std::string::npos) { + return common_chat_params_init_deepseek_r1(tmpl, inputs); + } + if (src.find("[TOOL_CALLS]") != std::string::npos) { + return common_chat_params_init_mistral_nemo(tmpl, inputs); + } + return common_chat_params_init_generic(tmpl, inputs); +} + +static common_chat_msg common_chat_parse_content_only(const std::string & input) { + return { + /* .role = */ "assistant", + /* .content = */ input, + /* .tool_calls = */ {}, + }; +} + +common_chat_msg common_chat_parse(const std::string & input, common_chat_format format) { + switch (format) { + case COMMON_CHAT_FORMAT_CONTENT_ONLY: + return common_chat_parse_content_only(input); + case COMMON_CHAT_FORMAT_GENERIC: + return common_chat_parse_generic(input); + case COMMON_CHAT_FORMAT_MISTRAL_NEMO: + return common_chat_parse_mistral_nemo(input); + case COMMON_CHAT_FORMAT_LLAMA_3_X: + return common_chat_parse_llama_3_1(input); + case COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS: + return common_chat_parse_llama_3_1(input, /* with_builtin_tools= */ true); + case COMMON_CHAT_FORMAT_DEEPSEEK_R1: + return common_chat_parse_deepseek_r1(input); + case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2: + return common_chat_parse_functionary_v3_2(input); + case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1: + return common_chat_parse_functionary_v3_1_llama_3_1(input); + case COMMON_CHAT_FORMAT_HERMES_2_PRO: + return common_chat_parse_hermes_2_pro(input); + case COMMON_CHAT_FORMAT_FIREFUNCTION_V2: + return common_chat_parse_firefunction_v2(input); + default: + throw std::runtime_error("Unsupported format: " + common_chat_format_name(format)); + } +} diff --git a/common/chat.hpp b/common/chat.hpp new file mode 100644 index 000000000..ca165aa13 --- /dev/null +++ b/common/chat.hpp @@ -0,0 +1,50 @@ +// Chat support (incl. tool call grammar constraining & output parsing) w/ generic & custom template handlers. + +#pragma once + +#include "common.h" +#include +#include +#include +#include + +using json = nlohmann::ordered_json; + +struct common_chat_inputs { + json messages; + json tools; + json tool_choice; + json json_schema; + bool parallel_tool_calls; + bool stream; + std::string grammar; + bool add_generation_prompt = true; +}; + +enum common_chat_format { + COMMON_CHAT_FORMAT_CONTENT_ONLY, + COMMON_CHAT_FORMAT_GENERIC, + COMMON_CHAT_FORMAT_MISTRAL_NEMO, + COMMON_CHAT_FORMAT_LLAMA_3_X, + COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS, + COMMON_CHAT_FORMAT_DEEPSEEK_R1, + COMMON_CHAT_FORMAT_FIREFUNCTION_V2, + COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2, + COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1, + COMMON_CHAT_FORMAT_HERMES_2_PRO, + + COMMON_CHAT_FORMAT_COUNT, // Not a format, just the # formats +}; + +struct common_chat_params { + common_chat_format format = COMMON_CHAT_FORMAT_CONTENT_ONLY; + json prompt; + std::string grammar; + bool grammar_lazy = false; + std::vector grammar_triggers; + std::vector additional_stops; +}; + +struct common_chat_params common_chat_params_init(const common_chat_template & tmpl, const struct common_chat_inputs & params); +std::string common_chat_format_name(common_chat_format format); +common_chat_msg common_chat_parse( const std::string & input, common_chat_format format); diff --git a/common/common.cpp b/common/common.cpp index 6dea8e3d2..6c81d18f9 100644 --- a/common/common.cpp +++ b/common/common.cpp @@ -12,6 +12,7 @@ #include "json.hpp" #include "json-schema-to-grammar.h" #include "llama.h" +#include "chat.hpp" #include "chat-template.hpp" #include @@ -1774,11 +1775,13 @@ std::string common_detokenize(const struct llama_vocab * vocab, const std::vecto bool common_chat_verify_template(const std::string & tmpl, bool use_jinja) { if (use_jinja) { try { - auto chat_template = minja::chat_template(tmpl, "", ""); - chat_template.apply({{ + auto chat_template = common_chat_template(tmpl, "", ""); + common_chat_inputs inputs; + inputs.messages = json::array({{ {"role", "user"}, {"content", "test"}, - }}, json(), true); + }}); + common_chat_params_init(chat_template, inputs); return true; } catch (const std::exception & e) { LOG_ERR("%s: failed to apply template: %s\n", __func__, e.what()); @@ -1800,7 +1803,10 @@ std::string common_chat_apply_template( for (const auto & msg : msgs) { messages.push_back({{"role", msg.role}, {"content", msg.content}}); } - return tmpl.apply(messages, /* tools= */ json(), add_ass); + common_chat_inputs inputs; + inputs.messages = messages; + inputs.add_generation_prompt = add_ass; + return common_chat_params_init(tmpl, inputs).prompt; } int alloc_size = 0; @@ -1855,10 +1861,10 @@ std::string common_chat_format_single( std::string common_chat_format_example(const common_chat_template & tmpl, bool use_jinja) { std::vector msgs = { - {"system", "You are a helpful assistant"}, - {"user", "Hello"}, - {"assistant", "Hi there"}, - {"user", "How are you?"}, + {"system", "You are a helpful assistant", {}}, + {"user", "Hello", {}}, + {"assistant", "Hi there", {}}, + {"user", "How are you?", {}}, }; return common_chat_apply_template(tmpl, msgs, true, use_jinja); } diff --git a/common/common.h b/common/common.h index 571260372..6c1809277 100644 --- a/common/common.h +++ b/common/common.h @@ -109,6 +109,11 @@ enum common_conversation_mode { COMMON_CONVERSATION_MODE_AUTO = 2, }; +struct common_grammar_trigger { + std::string word; + bool at_start; +}; + // sampling parameters struct common_params_sampling { uint32_t seed = LLAMA_DEFAULT_SEED; // the seed used to initialize llama_sampler @@ -154,7 +159,10 @@ struct common_params_sampling { COMMON_SAMPLER_TYPE_TEMPERATURE, }; - std::string grammar; // optional BNF-like grammar to constrain sampling + std::string grammar; // optional BNF-like grammar to constrain sampling + bool grammar_lazy = false; + std::vector grammar_trigger_words; // optional trigger words to trigger lazy grammar + std::vector grammar_trigger_tokens; // optional trigger tokens to trigger lazy grammar and print trigger special tokens. std::vector logit_bias; // logit biases to apply @@ -602,10 +610,17 @@ std::string common_detokenize( // Chat template utils // +struct common_tool_call { + std::string name; + std::string arguments; + std::string id; +}; + // same with llama_chat_message, but uses std::string struct common_chat_msg { std::string role; std::string content; + std::vector tool_calls; }; // Check if the template supplied via "--chat-template" is supported or not. Returns true if it's valid diff --git a/common/json-schema-to-grammar.cpp b/common/json-schema-to-grammar.cpp index 4d426b6bd..1f47e313e 100644 --- a/common/json-schema-to-grammar.cpp +++ b/common/json-schema-to-grammar.cpp @@ -343,7 +343,7 @@ static std::string format_literal(const std::string & literal) { class SchemaConverter { private: - friend std::string build_grammar(const std::function & cb); + friend std::string build_grammar(const std::function & cb, const common_grammar_options & options); std::function _fetch_json; bool _dotall; std::map _rules; @@ -764,10 +764,11 @@ private: public: SchemaConverter( const std::function & fetch_json, - bool dotall) + bool dotall, + bool compact_spaces) : _fetch_json(fetch_json), _dotall(dotall) { - _rules["space"] = SPACE_RULE; + _rules["space"] = compact_spaces ? "\" \"?" : SPACE_RULE; } void resolve_refs(json & schema, const std::string & url) { @@ -991,16 +992,16 @@ public: }; std::string json_schema_to_grammar(const json & schema) { - return build_grammar([&](const llama_grammar_builder & callbacks) { + return build_grammar([&](const common_grammar_builder & callbacks) { auto copy = schema; callbacks.resolve_refs(copy); callbacks.add_schema("", copy); }); } -std::string build_grammar(const std::function & cb) { - SchemaConverter converter([&](const std::string &) { return json(); }, /* dotall= */ false); - llama_grammar_builder builder { +std::string build_grammar(const std::function & cb, const common_grammar_options & options) { + SchemaConverter converter([&](const std::string &) { return json(); }, options.dotall, options.compact_spaces); + common_grammar_builder builder { /* .add_rule = */ [&](const std::string & name, const std::string & rule) { return converter._add_rule(name, rule); }, diff --git a/common/json-schema-to-grammar.h b/common/json-schema-to-grammar.h index 4f43ab3a5..ba4112cb9 100644 --- a/common/json-schema-to-grammar.h +++ b/common/json-schema-to-grammar.h @@ -7,10 +7,15 @@ std::string json_schema_to_grammar(const nlohmann::ordered_json & schema); -struct llama_grammar_builder { +struct common_grammar_builder { std::function add_rule; std::function add_schema; std::function resolve_refs; }; -std::string build_grammar(const std::function & cb); +struct common_grammar_options { + bool dotall = false; + bool compact_spaces = false; +}; + +std::string build_grammar(const std::function & cb, const common_grammar_options & options = {}); diff --git a/common/sampling.cpp b/common/sampling.cpp index 7241ac321..bc7e49fdb 100644 --- a/common/sampling.cpp +++ b/common/sampling.cpp @@ -151,9 +151,18 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, co lparams.no_perf = params.no_perf; + std::vector trigger_words; + trigger_words.reserve(params.grammar_trigger_words.size()); + for (const auto & str : params.grammar_trigger_words) { + trigger_words.push_back(str.word.c_str()); + } auto * result = new common_sampler { /* .params = */ params, - /* .grmr = */ llama_sampler_init_grammar(vocab, params.grammar.c_str(), "root"), + /* .grmr = */ params.grammar_lazy + ? llama_sampler_init_grammar_lazy(vocab, params.grammar.c_str(), "root", + trigger_words.data(), trigger_words.size(), + params.grammar_trigger_tokens.data(), params.grammar_trigger_tokens.size()) + : llama_sampler_init_grammar(vocab, params.grammar.c_str(), "root"), /* .chain = */ llama_sampler_chain_init(lparams), /* .prev = */ ring_buffer(std::max(32, params.n_prev)), /* .cur = */ {}, diff --git a/examples/gbnf-validator/gbnf-validator.cpp b/examples/gbnf-validator/gbnf-validator.cpp index 17a0e27c4..a610e6a0b 100644 --- a/examples/gbnf-validator/gbnf-validator.cpp +++ b/examples/gbnf-validator/gbnf-validator.cpp @@ -76,7 +76,7 @@ int main(int argc, char** argv) { grammar_str = buffer.str(); } - llama_grammar * grammar = llama_grammar_init_impl(nullptr, grammar_str.c_str(), "root"); + llama_grammar * grammar = llama_grammar_init_impl(nullptr, grammar_str.c_str(), "root", false, nullptr, 0, nullptr, 0); if (grammar == nullptr) { fprintf(stdout, "Failed to initialize llama_grammar\n"); return 1; diff --git a/examples/main/main.cpp b/examples/main/main.cpp index da2a03ab9..e654d3542 100644 --- a/examples/main/main.cpp +++ b/examples/main/main.cpp @@ -254,7 +254,7 @@ int main(int argc, char ** argv) { } } - const bool add_bos = llama_vocab_get_add_bos(vocab); + const bool add_bos = llama_vocab_get_add_bos(vocab) && !params.use_jinja; if (!llama_model_has_encoder(model)) { GGML_ASSERT(!llama_vocab_get_add_eos(vocab)); } @@ -264,9 +264,9 @@ int main(int argc, char ** argv) { std::vector embd_inp; auto chat_add_and_format = [&chat_msgs, &chat_templates](const std::string & role, const std::string & content) { - common_chat_msg new_msg{role, content}; + common_chat_msg new_msg{role, content, {}}; auto formatted = common_chat_format_single(*chat_templates.template_default, chat_msgs, new_msg, role == "user", g_params->use_jinja); - chat_msgs.push_back({role, content}); + chat_msgs.push_back({role, content, {}}); LOG_DBG("formatted: '%s'\n", formatted.c_str()); return formatted; }; @@ -503,12 +503,14 @@ int main(int argc, char ** argv) { std::vector embd; - // tokenized antiprompts - std::vector> antiprompt_ids; + // single-token antiprompts + std::vector antiprompt_token; - antiprompt_ids.reserve(params.antiprompt.size()); for (const std::string & antiprompt : params.antiprompt) { - antiprompt_ids.emplace_back(::common_tokenize(ctx, antiprompt, false, true)); + auto ids = ::common_tokenize(ctx, antiprompt, false, true); + if (ids.size() == 1) { + antiprompt_token.push_back(ids[0]); + } } if (llama_model_has_encoder(model)) { @@ -753,14 +755,11 @@ int main(int argc, char ** argv) { // check for reverse prompt using special tokens llama_token last_token = common_sampler_last(smpl); - for (std::vector ids : antiprompt_ids) { - if (ids.size() == 1 && last_token == ids[0]) { - if (params.interactive) { - is_interacting = true; - } - is_antiprompt = true; - break; + if (std::find(antiprompt_token.begin(), antiprompt_token.end(), last_token) != antiprompt_token.end()) { + if (params.interactive) { + is_interacting = true; } + is_antiprompt = true; } if (is_antiprompt) { diff --git a/examples/server/README.md b/examples/server/README.md index 44da503df..ce1ae8858 100644 --- a/examples/server/README.md +++ b/examples/server/README.md @@ -1117,6 +1117,82 @@ curl http://localhost:8080/v1/chat/completions \ }' ``` +... and even tool usage (needs `--jinja` flag): + + ```shell + llama-server --jinja -hfr lmstudio-community/Meta-Llama-3.1-8B-Instruct-GGUF -hff Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf -fa + + # https://huggingface.co/meetkai/functionary-medium-v3.2 + llama-server --jinja -hfr bartowski/functionary-medium-v3.2-GGUF -hff functionary-medium-v3.2-IQ4_XS.gguf -fa + + # https://huggingface.co/meetkai/functionary-medium-v3.1 + llama-server --jinja -hfr meetkai/functionary-medium-v3.1-GGUF -hff functionary-medium-llama-3.1.Q4_0.gguf -fa + + curl http://localhost:8080/v1/chat/completions -d '{ + "model": "gpt-3.5-turbo", + "tools": [ + { + "type":"function", + "function":{ + "name":"get_current_weather", + "description":"Get the current weather in a given location", + "parameters":{ + "type":"object", + "properties":{ + "location":{ + "type":"string", + "description":"The city and state, e.g. San Francisco, CA" + } + }, + "required":["location"] + } + } + } + ], + "messages": [ + { + "role": "user", + "content": "What is the weather like in Istanbul?." + } + ] + }' + ``` + +
+ Show output + + ```json + { + "choices": [ + { + "finish_reason": "tool", + "index": 0, + "message": { + "content": null, + "tool_calls": [ + { + "name": "python", + "arguments": "{\"code\":\" \\nprint(\\\"Hello, World!\\\")\"}" + } + ], + "role": "assistant" + } + } + ], + "created": 1727287211, + "model": "gpt-3.5-turbo", + "object": "chat.completion", + "usage": { + "completion_tokens": 16, + "prompt_tokens": 44, + "total_tokens": 60 + }, + "id": "chatcmpl-Htbgh9feMmGM0LEH2hmQvwsCxq3c6Ni8" + } + ``` + +
+ ### POST `/v1/embeddings`: OpenAI-compatible embeddings API This endpoint requires that the model uses a pooling different than type `none`. The embeddings are normalized using the Eucledian norm. diff --git a/examples/server/server.cpp b/examples/server/server.cpp index b9aa5c81c..d1ea343dd 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -113,10 +113,11 @@ struct slot_params { struct common_params_speculative speculative; // OAI-compat fields - bool verbose = false; - oaicompat_type oaicompat = OAICOMPAT_TYPE_NONE; - std::string oaicompat_model; - std::string oaicompat_cmpl_id; + bool verbose = false; + oaicompat_type oaicompat = OAICOMPAT_TYPE_NONE; + std::string oaicompat_model; + std::string oaicompat_cmpl_id; + common_chat_format oaicompat_chat_format = COMMON_CHAT_FORMAT_CONTENT_ONLY; json to_json() const { std::vector samplers; @@ -164,6 +165,8 @@ struct slot_params { {"n_probs", sampling.n_probs}, {"min_keep", sampling.min_keep}, {"grammar", sampling.grammar}, + // {"grammar_trigger_words", sampling.grammar_trigger_words}, + {"grammar_trigger_tokens", sampling.grammar_trigger_tokens}, {"samplers", samplers}, {"speculative.n_max", speculative.n_max}, {"speculative.n_min", speculative.n_min}, @@ -325,12 +328,50 @@ struct server_task { if (data.contains("json_schema") && !data.contains("grammar")) { try { auto schema = json_value(data, "json_schema", json::object()); - params.sampling.grammar = json_schema_to_grammar(schema); + LOG_DBG("JSON schema: %s\n", schema.dump(2).c_str()); + params.sampling.grammar = json_schema_to_grammar(schema); + LOG_DBG("Converted grammar: %s\n", params.sampling.grammar.c_str()); } catch (const std::exception & e) { throw std::runtime_error(std::string("\"json_schema\": ") + e.what()); } } else { - params.sampling.grammar = json_value(data, "grammar", defaults.sampling.grammar); + params.sampling.grammar = json_value(data, "grammar", defaults.sampling.grammar); + LOG_DBG("Grammar: %s\n", params.sampling.grammar.c_str()); + params.sampling.grammar_lazy = json_value(data, "grammar_lazy", defaults.sampling.grammar_lazy); + LOG_DBG("Grammar lazy: %s\n", params.sampling.grammar_lazy ? "true" : "false"); + } + + { + auto it = data.find("chat_format"); + if (it != data.end()) { + params.oaicompat_chat_format = static_cast(it->get()); + LOG_DBG("Chat format: %s\n", common_chat_format_name(params.oaicompat_chat_format).c_str()); + } else { + params.oaicompat_chat_format = defaults.oaicompat_chat_format; + } + } + + { + const auto grammar_triggers = data.find("grammar_triggers"); + if (grammar_triggers != data.end()) { + for (const auto & t : *grammar_triggers) { + common_grammar_trigger trigger; + trigger.word = t.at("word"); + trigger.at_start = t.at("at_start"); + + auto ids = common_tokenize(vocab, trigger.word, /* add_special= */ false, /* parse_special= */ true); + if (ids.size() == 1) { + LOG_DBG("Grammar trigger token: %d (`%s`)\n", ids[0], trigger.word.c_str()); + params.sampling.grammar_trigger_tokens.push_back(ids[0]); + continue; + } + LOG_DBG("Grammar trigger word: `%s`\n", trigger.word.c_str()); + params.sampling.grammar_trigger_words.push_back(trigger); + } + } + if (params.sampling.grammar_lazy) { + GGML_ASSERT(params.sampling.grammar_trigger_tokens.size() > 0 || params.sampling.grammar_trigger_words.size() > 0); + } } { @@ -382,22 +423,12 @@ struct server_task { } { - const auto & samplers = data.find("samplers"); + const auto samplers = data.find("samplers"); if (samplers != data.end()) { if (samplers->is_array()) { - std::vector sampler_names; - for (const auto & name : *samplers) { - if (name.is_string()) { - sampler_names.emplace_back(name); - } - } - params.sampling.samplers = common_sampler_types_from_names(sampler_names, false); + params.sampling.samplers = common_sampler_types_from_names(*samplers, false); } else if (samplers->is_string()){ - std::string sampler_string; - for (const auto & name : *samplers) { - sampler_string += name; - } - params.sampling.samplers = common_sampler_types_from_chars(sampler_string); + params.sampling.samplers = common_sampler_types_from_chars(samplers->get()); } } else { params.sampling.samplers = defaults.sampling.samplers; @@ -544,7 +575,7 @@ struct completion_token_output { struct server_task_result_cmpl_final : server_task_result { int index = 0; - std::string content; + std::string content; llama_tokens tokens; bool stream; @@ -566,10 +597,11 @@ struct server_task_result_cmpl_final : server_task_result { slot_params generation_params; // OAI-compat fields - bool verbose = false; - oaicompat_type oaicompat = OAICOMPAT_TYPE_NONE; - std::string oaicompat_model; - std::string oaicompat_cmpl_id; + bool verbose = false; + oaicompat_type oaicompat = OAICOMPAT_TYPE_NONE; + std::string oaicompat_model; + std::string oaicompat_cmpl_id; + common_chat_format oaicompat_chat_format = COMMON_CHAT_FORMAT_CONTENT_ONLY; virtual int get_index() override { return index; @@ -663,18 +695,38 @@ struct server_task_result_cmpl_final : server_task_result { json to_json_oaicompat_chat() { std::string finish_reason = "length"; + common_chat_msg message; if (stop == STOP_TYPE_WORD || stop == STOP_TYPE_EOS) { - finish_reason = "stop"; + message = common_chat_parse(content, oaicompat_chat_format); + finish_reason = message.tool_calls.empty() ? "stop" : "tool_calls"; + } else { + message.content = content; } - json choice = json{ + json tool_calls; + if (!message.tool_calls.empty()) { + tool_calls = json::array(); + for (const auto & tc : message.tool_calls) { + tool_calls.push_back({ + {"type", "function"}, + {"function", { + {"name", tc.name}, + {"arguments", tc.arguments}, + }}, + {"id", tc.id.empty() ? json() : json(tc.id)}, + }); + } + } + + json choice { {"finish_reason", finish_reason}, {"index", 0}, {"message", json { - {"content", content}, - {"role", "assistant"} - } - }}; + {"content", message.content}, + {"tool_calls", tool_calls}, + {"role", "assistant"}, + }}, + }; if (!stream && probs_output.size() > 0) { choice["logprobs"] = json{ @@ -716,7 +768,7 @@ struct server_task_result_cmpl_final : server_task_result { finish_reason = "stop"; } - json choice = json{ + json choice = json { {"finish_reason", finish_reason}, {"index", 0}, {"delta", json::object()} @@ -1191,6 +1243,8 @@ struct server_slot { llama_token sampled; + common_chat_format chat_format = COMMON_CHAT_FORMAT_CONTENT_ONLY; + // stats size_t n_sent_text = 0; // number of sent text character @@ -1815,17 +1869,16 @@ struct server_context { if (use_jinja) { auto templates = common_chat_templates_from_model(model, ""); + common_chat_inputs inputs; + inputs.messages = json::array({{ + {"role", "user"}, + {"content", "test"}, + }}); GGML_ASSERT(templates.template_default); try { - templates.template_default->apply({{ - {"role", "user"}, - {"content", "test"}, - }}, json(), true); + common_chat_params_init(*templates.template_default, inputs); if (templates.template_tool_use) { - templates.template_tool_use->apply({{ - {"role", "user"}, - {"content", "test"}, - }}, json(), true); + common_chat_params_init(*templates.template_tool_use, inputs); } return true; } catch (const std::exception & e) { @@ -2275,11 +2328,11 @@ struct server_context { res->id_slot = slot.id; res->index = slot.index; - res->content = slot.generated_text; - res->tokens = slot.generated_tokens; + res->content = std::move(slot.generated_text); + res->tokens = std::move(slot.generated_tokens); res->timings = slot.get_timings(); res->prompt = common_detokenize(ctx, slot.prompt_tokens, true); - res->response_fields = slot.params.response_fields; + res->response_fields = std::move(slot.params.response_fields); res->truncated = slot.truncated; res->n_decoded = slot.n_decoded; @@ -2290,12 +2343,12 @@ struct server_context { res->stop = slot.stop; res->post_sampling_probs = slot.params.post_sampling_probs; - res->verbose = slot.params.verbose; - res->stream = slot.params.stream; - res->oaicompat = slot.params.oaicompat; - res->oaicompat_model = slot.params.oaicompat_model; - res->oaicompat_cmpl_id = slot.params.oaicompat_cmpl_id; - + res->verbose = slot.params.verbose; + res->stream = slot.params.stream; + res->oaicompat = slot.params.oaicompat; + res->oaicompat_model = slot.params.oaicompat_model; + res->oaicompat_cmpl_id = slot.params.oaicompat_cmpl_id; + res->oaicompat_chat_format = slot.params.oaicompat_chat_format; // populate res.probs_output if (slot.params.sampling.n_probs > 0) { if (!slot.params.stream && slot.stop == STOP_TYPE_WORD) { @@ -2773,6 +2826,11 @@ struct server_context { // track if given slot can be batched with slots already in the batch server_slot * slot_batched = nullptr; + auto accept_special_token = [&](server_slot & slot, llama_token token) { + const auto & trigger_tokens = slot.params.sampling.grammar_trigger_tokens; + return params_base.special || std::find(trigger_tokens.begin(), trigger_tokens.end(), token) != trigger_tokens.end(); + }; + // frist, add sampled tokens from any ongoing sequences for (auto & slot : slots) { if (slot.state != SLOT_STATE_GENERATING) { @@ -3136,7 +3194,7 @@ struct server_context { completion_token_output result; result.tok = id; - result.text_to_send = common_token_to_piece(ctx, result.tok, params_base.special); + result.text_to_send = common_token_to_piece(ctx, result.tok, accept_special_token(slot, result.tok)); result.prob = 1.0f; // TODO: set it here instead of doing inside populate_token_probs if (slot.params.sampling.n_probs > 0) { @@ -3225,7 +3283,7 @@ struct server_context { completion_token_output result; result.tok = ids[i]; - result.text_to_send = common_token_to_piece(ctx, result.tok, params_base.special); + result.text_to_send = common_token_to_piece(ctx, result.tok, accept_special_token(slot, result.tok)); result.prob = 1.0f; // set later // TODO: set result.probs @@ -3722,6 +3780,8 @@ int main(int argc, char ** argv) { { "total_slots", ctx_server.params_base.n_parallel }, { "model_path", ctx_server.params_base.model }, { "chat_template", ctx_server.chat_templates.template_default->source() }, + { "bos_token", ctx_server.chat_templates.template_default->bos_token() }, + { "eos_token", ctx_server.chat_templates.template_default->eos_token() }, { "build_info", build_info }, }; if (ctx_server.params_base.use_jinja && ctx_server.chat_templates.template_tool_use) { @@ -3763,7 +3823,9 @@ int main(int argc, char ** argv) { std::vector tasks; try { - std::vector tokenized_prompts = tokenize_input_prompts(ctx_server.vocab, data.at("prompt"), true, true); + const auto & prompt = data.at("prompt"); + LOG_DBG("Prompt: %s\n", prompt.is_string() ? prompt.get().c_str() : prompt.dump(2).c_str()); + std::vector tokenized_prompts = tokenize_input_prompts(ctx_server.vocab, prompt, true, true); tasks.reserve(tokenized_prompts.size()); for (size_t i = 0; i < tokenized_prompts.size(); i++) { server_task task = server_task(type); @@ -3779,8 +3841,8 @@ int main(int argc, char ** argv) { task.id_selected_slot = json_value(data, "id_slot", -1); // OAI-compat - task.params.oaicompat = oaicompat; - task.params.oaicompat_cmpl_id = completion_id; + task.params.oaicompat = oaicompat; + task.params.oaicompat_cmpl_id = completion_id; // oaicompat_model is already populated by params_from_json_cmpl tasks.push_back(task); @@ -3949,14 +4011,14 @@ int main(int argc, char ** argv) { }; const auto handle_chat_completions = [&ctx_server, ¶ms, &res_error, &handle_completions_impl](const httplib::Request & req, httplib::Response & res) { + LOG_DBG("request: %s\n", req.body.c_str()); if (ctx_server.params_base.embedding) { res_error(res, format_error_response("This server does not support completions. Start it without `--embeddings`", ERROR_TYPE_NOT_SUPPORTED)); return; } auto body = json::parse(req.body); - const auto & chat_template = body.contains("tools") && ctx_server.chat_templates.template_tool_use ? *ctx_server.chat_templates.template_tool_use : *ctx_server.chat_templates.template_default; - json data = oaicompat_completion_params_parse(body, chat_template, params.use_jinja); + json data = oaicompat_completion_params_parse(body, params.use_jinja, ctx_server.chat_templates); return handle_completions_impl( SERVER_TASK_TYPE_COMPLETION, @@ -3966,6 +4028,13 @@ int main(int argc, char ** argv) { OAICOMPAT_TYPE_CHAT); }; + // same with handle_chat_completions, but without inference part + const auto handle_apply_template = [&ctx_server, ¶ms, &res_ok](const httplib::Request & req, httplib::Response & res) { + auto body = json::parse(req.body); + json data = oaicompat_completion_params_parse(body, params.use_jinja, ctx_server.chat_templates); + res_ok(res, {{ "prompt", std::move(data.at("prompt")) }}); + }; + const auto handle_models = [¶ms, &ctx_server, &res_ok](const httplib::Request &, httplib::Response & res) { json models = { {"object", "list"}, @@ -4124,14 +4193,6 @@ int main(int argc, char ** argv) { res_ok(res, root); }; - const auto handle_apply_template = [&ctx_server, ¶ms, &res_ok](const httplib::Request & req, httplib::Response & res) { - auto body = json::parse(req.body); - const auto & chat_template = body.contains("tools") && ctx_server.chat_templates.template_tool_use ? *ctx_server.chat_templates.template_tool_use : *ctx_server.chat_templates.template_default; - json data = oaicompat_completion_params_parse(body, chat_template, params.use_jinja); - - res_ok(res, {{ "prompt", data.at("prompt") }}); - }; - const auto handle_embeddings = [&handle_embeddings_impl](const httplib::Request & req, httplib::Response & res) { handle_embeddings_impl(req, res, OAICOMPAT_TYPE_NONE); }; diff --git a/examples/server/tests/README.md b/examples/server/tests/README.md index 5787276ab..1de0eb30e 100644 --- a/examples/server/tests/README.md +++ b/examples/server/tests/README.md @@ -31,8 +31,9 @@ It's possible to override some scenario steps values with environment variables: | `LLAMA_SERVER_BIN_PATH` | to change the server binary path, default: `../../../build/bin/llama-server` | | `DEBUG` | to enable steps and server verbose mode `--verbose` | | `N_GPU_LAYERS` | number of model layers to offload to VRAM `-ngl --n-gpu-layers` | +| `LLAMA_CACHE` | by default server tests re-download models to the `tmp` subfolder. Set this to your cache (e.g. `$HOME/Library/Caches/llama.cpp` on Mac or `$HOME/.cache/llama.cpp` on Unix) to avoid this | -To run slow tests: +To run slow tests (will download many models, make sure to set `LLAMA_CACHE` if needed): ```shell SLOW_TESTS=1 ./tests.sh @@ -44,10 +45,16 @@ To run with stdout/stderr display in real time (verbose output, but useful for d DEBUG=1 ./tests.sh -s -v -x ``` -To run single test unit: +To run all the tests in a file: ```shell -./tests.sh unit/test_{name of test case here}.py -v -x +./tests.sh unit/test_chat_completion.py.py -v -x +``` + +To run a single test: + +```shell +./tests.sh unit/test_chat_completion.py::test_invalid_chat_completion_req ``` Hint: You can compile and run test in single command, useful for local developement: diff --git a/examples/server/tests/pytest.ini b/examples/server/tests/pytest.ini new file mode 100644 index 000000000..6df308df7 --- /dev/null +++ b/examples/server/tests/pytest.ini @@ -0,0 +1,4 @@ +[pytest] +markers = + slow: marks tests as slow (deselect with '-m "not slow"') + serial diff --git a/examples/server/tests/tests.sh b/examples/server/tests/tests.sh index 1e0777de3..33fa8cc64 100755 --- a/examples/server/tests/tests.sh +++ b/examples/server/tests/tests.sh @@ -6,9 +6,18 @@ cd $SCRIPT_DIR set -eu +if [[ "${SLOW_TESTS:-0}" == 1 ]]; then + # Slow tests for tool calls need quite a few models ahead of time to avoid timing out. + python $SCRIPT_DIR/../../../scripts/fetch_server_test_models.py +fi + if [ $# -lt 1 ] then - pytest -v -x + if [[ "${SLOW_TESTS:-0}" == 1 ]]; then + pytest -v -x + else + pytest -v -x -m "not slow" + fi else pytest "$@" fi diff --git a/examples/server/tests/unit/test_chat_completion.py b/examples/server/tests/unit/test_chat_completion.py index add3f810f..0be04bab5 100644 --- a/examples/server/tests/unit/test_chat_completion.py +++ b/examples/server/tests/unit/test_chat_completion.py @@ -2,7 +2,7 @@ import pytest from openai import OpenAI from utils import * -server = ServerPreset.tinyllama2() +server: ServerProcess @pytest.fixture(autouse=True) def create_server(): @@ -13,11 +13,12 @@ def create_server(): @pytest.mark.parametrize( "model,system_prompt,user_prompt,max_tokens,re_content,n_prompt,n_predicted,finish_reason,jinja,chat_template", [ - (None, "Book", "What is the best book", 8, "(Suddenly)+", 77, 8, "length", False, None), - (None, "Book", "What is the best book", 8, "(Suddenly)+", 77, 8, "length", True, None), - (None, "Book", "What is the best book", 8, "^ blue", 23, 8, "length", True, "This is not a chat template, it is"), + (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", False, None), ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", False, None), - ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", True, None), + # TODO: fix testing of non-tool jinja mode + # (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", True, None), + # (None, "Book", "What is the best book", 8, "I want to play with", 23, 8, "length", True, "This is not a chat template, it is"), + # ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", True, None), ] ) def test_chat_completion(model, system_prompt, user_prompt, max_tokens, re_content, n_prompt, n_predicted, finish_reason, jinja, chat_template): diff --git a/examples/server/tests/unit/test_tool_call.py b/examples/server/tests/unit/test_tool_call.py new file mode 100644 index 000000000..e6ed9c9be --- /dev/null +++ b/examples/server/tests/unit/test_tool_call.py @@ -0,0 +1,352 @@ +import pytest +from utils import * + +server: ServerProcess + +TIMEOUT_SERVER_START = 15*60 +TIMEOUT_HTTP_REQUEST = 60 + +@pytest.fixture(autouse=True) +def create_server(): + global server + server = ServerPreset.tinyllama2() + server.model_alias = "tinyllama-2-tool-call" + server.server_port = 8081 + + +TEST_TOOL = { + "type":"function", + "function": { + "name": "test", + "description": "", + "parameters": { + "type": "object", + "properties": { + "success": {"type": "boolean", "const": True}, + }, + "required": ["success"] + } + } +} + +PYTHON_TOOL = { + "type": "function", + "function": { + "name": "python", + "description": "Runs code in an ipython interpreter and returns the result of the execution after 60 seconds.", + "parameters": { + "type": "object", + "properties": { + "code": { + "type": "string", + "description": "The code to run in the ipython interpreter." + } + }, + "required": ["code"] + } + } +} + +WEATHER_TOOL = { + "type":"function", + "function":{ + "name":"get_current_weather", + "description":"Get the current weather in a given location", + "parameters":{ + "type":"object", + "properties":{ + "location":{ + "type":"string", + "description":"The city and country/state, e.g. 'San Francisco, CA', or 'Paris, France'" + } + }, + "required":["location"] + } + } +} + + +def do_test_completion_with_required_tool_tiny(template_name: str, tool: dict, argument_key: str | None): + n_predict = 512 + global server + # server = ServerPreset.stories15m_moe() + server.jinja = True + server.n_predict = n_predict + server.chat_template_file = f'../../../models/templates/{template_name}.jinja' + server.start(timeout_seconds=TIMEOUT_SERVER_START) + res = server.make_request("POST", "/chat/completions", data={ + "max_tokens": n_predict, + "messages": [ + {"role": "system", "content": "You are a coding assistant."}, + {"role": "user", "content": "Write an example"}, + ], + "tool_choice": "required", + "tools": [tool], + "parallel_tool_calls": False, + "temperature": 0.0, + "top_k": 1, + "top_p": 1.0, + }) + assert res.status_code == 200, f"Expected status code 200, got {res.status_code}" + choice = res.body["choices"][0] + tool_calls = choice["message"].get("tool_calls") + assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}' + tool_call = tool_calls[0] + expected_function_name = "python" if tool["type"] == "code_interpreter" else tool["function"]["name"] + assert expected_function_name == tool_call["function"]["name"] + actual_arguments = tool_call["function"]["arguments"] + assert isinstance(actual_arguments, str) + if argument_key is not None: + actual_arguments = json.loads(actual_arguments) + assert argument_key in actual_arguments, f"tool arguments: {json.dumps(actual_arguments)}, expected: {argument_key}" + + +@pytest.mark.parametrize("template_name,tool,argument_key", [ + ("google-gemma-2-2b-it", TEST_TOOL, "success"), + ("meta-llama-Llama-3.3-70B-Instruct", TEST_TOOL, "success"), + ("meta-llama-Llama-3.3-70B-Instruct", PYTHON_TOOL, "code"), +]) +def test_completion_with_required_tool_tiny_fast(template_name: str, tool: dict, argument_key: str | None): + do_test_completion_with_required_tool_tiny(template_name, tool, argument_key) + + +@pytest.mark.slow +@pytest.mark.parametrize("template_name,tool,argument_key", [ + ("meta-llama-Llama-3.1-8B-Instruct", TEST_TOOL, "success"), + ("meta-llama-Llama-3.1-8B-Instruct", PYTHON_TOOL, "code"), + ("meetkai-functionary-medium-v3.1", TEST_TOOL, "success"), + ("meetkai-functionary-medium-v3.1", PYTHON_TOOL, "code"), + ("meetkai-functionary-medium-v3.2", TEST_TOOL, "success"), + ("meetkai-functionary-medium-v3.2", PYTHON_TOOL, "code"), + ("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", TEST_TOOL, "success"), + ("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", PYTHON_TOOL, "code"), + ("meta-llama-Llama-3.2-3B-Instruct", TEST_TOOL, "success"), + ("meta-llama-Llama-3.2-3B-Instruct", PYTHON_TOOL, "code"), + ("mistralai-Mistral-Nemo-Instruct-2407", TEST_TOOL, "success"), + ("mistralai-Mistral-Nemo-Instruct-2407", PYTHON_TOOL, "code"), + ("NousResearch-Hermes-3-Llama-3.1-8B-tool_use", TEST_TOOL, "success"), + ("NousResearch-Hermes-3-Llama-3.1-8B-tool_use", PYTHON_TOOL, "code"), + ("deepseek-ai-DeepSeek-R1-Distill-Llama-8B", TEST_TOOL, "success"), + ("deepseek-ai-DeepSeek-R1-Distill-Llama-8B", PYTHON_TOOL, "code"), + ("fireworks-ai-llama-3-firefunction-v2", TEST_TOOL, "success"), + ("fireworks-ai-llama-3-firefunction-v2", PYTHON_TOOL, "code"), +]) +def test_completion_with_required_tool_tiny_slow(template_name: str, tool: dict, argument_key: str | None): + do_test_completion_with_required_tool_tiny(template_name, tool, argument_key) + + +@pytest.mark.slow +@pytest.mark.parametrize("tool,argument_key,hf_repo,template_override", [ + (TEST_TOOL, "success", "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None), + (PYTHON_TOOL, "code", "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None), + (TEST_TOOL, "success", "bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), + (PYTHON_TOOL, "code", "bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), + (TEST_TOOL, "success", "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None), + (PYTHON_TOOL, "code", "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None), + (TEST_TOOL, "success", "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None), + (PYTHON_TOOL, "code", "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None), + (TEST_TOOL, "success", "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), + (PYTHON_TOOL, "code", "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), + (TEST_TOOL, "success", "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")), + (PYTHON_TOOL, "code", "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")), + (TEST_TOOL, "success", "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None), + (PYTHON_TOOL, "code", "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None), + (TEST_TOOL, "success", "bartowski/functionary-small-v3.2-GGUF:Q8_0", ("meetkai/functionary-medium-v3.2", None)), + (PYTHON_TOOL, "code", "bartowski/functionary-small-v3.2-GGUF:Q8_0", ("meetkai/functionary-medium-v3.2", None)), + (TEST_TOOL, "success", "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), + (PYTHON_TOOL, "code", "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), + (TEST_TOOL, "success", "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), + (PYTHON_TOOL, "code", "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), + # TODO: fix these + # (TEST_TOOL, "success", "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None), + # (PYTHON_TOOL, "code", "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None), +]) +def test_completion_with_required_tool_real_model(tool: dict, argument_key: str | None, hf_repo: str, template_override: Tuple[str, str | None] | None): + n_predict = 512 + server.n_slots = 1 + server.jinja = True + server.n_ctx = 8192 + server.n_predict = n_predict + server.model_hf_repo = hf_repo + server.model_hf_file = None + if template_override: + (template_hf_repo, template_variant) = template_override + server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja" + assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template." + server.start(timeout_seconds=TIMEOUT_SERVER_START) + res = server.make_request("POST", "/chat/completions", data={ + "max_tokens": n_predict, + "messages": [ + {"role": "system", "content": "You are a coding assistant."}, + {"role": "user", "content": "Write an example"}, + ], + "tool_choice": "required", + "tools": [tool], + "parallel_tool_calls": False, + "temperature": 0.0, + "top_k": 1, + "top_p": 1.0, + }, timeout=TIMEOUT_HTTP_REQUEST) + assert res.status_code == 200, f"Expected status code 200, got {res.status_code}" + choice = res.body["choices"][0] + tool_calls = choice["message"].get("tool_calls") + assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}' + tool_call = tool_calls[0] + expected_function_name = "python" if tool["type"] == "code_interpreter" else tool["function"]["name"] + assert expected_function_name == tool_call["function"]["name"] + actual_arguments = tool_call["function"]["arguments"] + assert isinstance(actual_arguments, str) + if argument_key is not None: + actual_arguments = json.loads(actual_arguments) + assert argument_key in actual_arguments, f"tool arguments: {json.dumps(actual_arguments)}, expected: {argument_key}" + + +def do_test_completion_without_tool_call(template_name: str, n_predict: int, tools: list[dict], tool_choice: str | None): + global server + server.jinja = True + server.n_predict = n_predict + server.chat_template_file = f'../../../models/templates/{template_name}.jinja' + server.start(timeout_seconds=TIMEOUT_SERVER_START) + res = server.make_request("POST", "/chat/completions", data={ + "max_tokens": n_predict, + "messages": [ + {"role": "system", "content": "You are a coding assistant."}, + {"role": "user", "content": "say hello world with python"}, + ], + "tools": tools if tools else None, + "tool_choice": tool_choice, + "temperature": 0.0, + "top_k": 1, + "top_p": 1.0, + }, timeout=TIMEOUT_HTTP_REQUEST) + assert res.status_code == 200, f"Expected status code 200, got {res.status_code}" + choice = res.body["choices"][0] + assert choice["message"].get("tool_calls") is None, f'Expected no tool call in {choice["message"]}' + + +@pytest.mark.parametrize("template_name,n_predict,tools,tool_choice", [ + ("meta-llama-Llama-3.3-70B-Instruct", 128, [], None), + ("meta-llama-Llama-3.3-70B-Instruct", 128, [TEST_TOOL], None), + ("meta-llama-Llama-3.3-70B-Instruct", 128, [PYTHON_TOOL], 'none'), +]) +def test_completion_without_tool_call_fast(template_name: str, n_predict: int, tools: list[dict], tool_choice: str | None): + do_test_completion_without_tool_call(template_name, n_predict, tools, tool_choice) + + +@pytest.mark.slow +@pytest.mark.parametrize("template_name,n_predict,tools,tool_choice", [ + ("meetkai-functionary-medium-v3.2", 256, [], None), + ("meetkai-functionary-medium-v3.2", 256, [TEST_TOOL], None), + ("meetkai-functionary-medium-v3.2", 256, [PYTHON_TOOL], 'none'), + ("meetkai-functionary-medium-v3.1", 256, [], None), + ("meetkai-functionary-medium-v3.1", 256, [TEST_TOOL], None), + ("meetkai-functionary-medium-v3.1", 256, [PYTHON_TOOL], 'none'), + ("meta-llama-Llama-3.2-3B-Instruct", 256, [], None), + ("meta-llama-Llama-3.2-3B-Instruct", 256, [TEST_TOOL], None), + ("meta-llama-Llama-3.2-3B-Instruct", 256, [PYTHON_TOOL], 'none'), +]) +def test_completion_without_tool_call_slow(template_name: str, n_predict: int, tools: list[dict], tool_choice: str | None): + do_test_completion_without_tool_call(template_name, n_predict, tools, tool_choice) + + +@pytest.mark.slow +@pytest.mark.parametrize("hf_repo,template_override", [ + ("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None), + ("bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), + ("bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None), + ("bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None), + ("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), + ("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")), + ("bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None), + ("bartowski/functionary-small-v3.2-GGUF:Q8_0", ("meetkai/functionary-medium-v3.2", None)), + ("bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), + # ("bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), + # ("bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None), +]) +def test_weather_tool_call(hf_repo: str, template_override: Tuple[str, str | None] | None): + global server + server.n_slots = 1 + server.jinja = True + server.n_ctx = 8192 + server.n_predict = 512 + server.model_hf_repo = hf_repo + server.model_hf_file = None + if template_override: + (template_hf_repo, template_variant) = template_override + server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja" + assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template." + server.start(timeout_seconds=TIMEOUT_SERVER_START) + res = server.make_request("POST", "/chat/completions", data={ + "max_tokens": 256, + "messages": [ + {"role": "user", "content": "What is the weather in Istanbul?"}, + ], + "tools": [WEATHER_TOOL], + }, timeout=TIMEOUT_HTTP_REQUEST) + assert res.status_code == 200, f"Expected status code 200, got {res.status_code}" + choice = res.body["choices"][0] + tool_calls = choice["message"].get("tool_calls") + assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}' + tool_call = tool_calls[0] + assert tool_call["function"]["name"] == WEATHER_TOOL["function"]["name"] + actual_arguments = json.loads(tool_call["function"]["arguments"]) + assert 'location' in actual_arguments, f"location not found in {json.dumps(actual_arguments)}" + location = actual_arguments["location"] + assert isinstance(location, str), f"Expected location to be a string, got {type(location)}: {json.dumps(location)}" + assert re.match('^Istanbul(, (TR|Turkey|Türkiye))?$', location), f'Expected Istanbul for location, got {location}' + + +@pytest.mark.slow +@pytest.mark.parametrize("expected_arguments_override,hf_repo,template_override", [ + (None, "bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), + (None, "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None), + (None, "bartowski/functionary-small-v3.2-GGUF:Q8_0", ("meetkai-functionary-medium-v3.2", None)), + ('{"code":"print("}', "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None), + (None, "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama-Llama-3.2-3B-Instruct", None)), + ('{"code":"print("}', "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama-Llama-3.2-3B-Instruct", None)), + (None, "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None), + (None, "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), + (None, "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch-Hermes-3-Llama-3.1-8B", "tool_use")), + (None, "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None), + # (None, "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None), +]) +def test_hello_world_tool_call(expected_arguments_override: str | None, hf_repo: str, template_override: Tuple[str, str | None] | None): + global server + server.n_slots = 1 + server.jinja = True + server.n_ctx = 8192 + server.n_predict = 128 + server.model_hf_repo = hf_repo + server.model_hf_file = None + if template_override: + (template_hf_repo, template_variant) = template_override + server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja" + assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template." + server.start(timeout_seconds=TIMEOUT_SERVER_START) + res = server.make_request("POST", "/chat/completions", data={ + "max_tokens": 256, + "messages": [ + {"role": "system", "content": "You are a coding assistant."}, + {"role": "user", "content": "say hello world with python"}, + ], + "tools": [PYTHON_TOOL], + # Note: without these greedy params, Functionary v3.2 writes `def hello_world():\n print("Hello, World!")\nhello_world()` which is correct but a pain to test. + "temperature": 0.0, + "top_k": 1, + "top_p": 1.0, + }, timeout=TIMEOUT_HTTP_REQUEST) + assert res.status_code == 200, f"Expected status code 200, got {res.status_code}" + choice = res.body["choices"][0] + tool_calls = choice["message"].get("tool_calls") + assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}' + tool_call = tool_calls[0] + assert tool_call["function"]["name"] == PYTHON_TOOL["function"]["name"] + actual_arguments = tool_call["function"]["arguments"] + if expected_arguments_override is not None: + assert actual_arguments == expected_arguments_override + else: + actual_arguments = json.loads(actual_arguments) + assert 'code' in actual_arguments, f"code not found in {json.dumps(actual_arguments)}" + code = actual_arguments["code"] + assert isinstance(code, str), f"Expected code to be a string, got {type(code)}: {json.dumps(code)}" + assert re.match(r'''print\(("[Hh]ello,? [Ww]orld!?"|'[Hh]ello,? [Ww]orld!?')\)''', code), f'Expected hello world, got {code}' diff --git a/examples/server/tests/utils.py b/examples/server/tests/utils.py index 9964db2f9..ce0680662 100644 --- a/examples/server/tests/utils.py +++ b/examples/server/tests/utils.py @@ -26,7 +26,7 @@ from re import RegexFlag import wget -DEFAULT_HTTP_TIMEOUT = 10 if "LLAMA_SANITIZE" not in os.environ else 30 +DEFAULT_HTTP_TIMEOUT = 12 if "LLAMA_SANITIZE" not in os.environ else 30 class ServerResponse: @@ -41,7 +41,7 @@ class ServerProcess: server_port: int = 8080 server_host: str = "127.0.0.1" model_hf_repo: str = "ggml-org/models" - model_hf_file: str = "tinyllamas/stories260K.gguf" + model_hf_file: str | None = "tinyllamas/stories260K.gguf" model_alias: str = "tinyllama-2" temperature: float = 0.8 seed: int = 42 @@ -191,7 +191,7 @@ class ServerProcess: creationflags=flags, stdout=sys.stdout, stderr=sys.stdout, - env={**os.environ, "LLAMA_CACHE": "tmp"}, + env={**os.environ, "LLAMA_CACHE": "tmp"} if "LLAMA_CACHE" not in os.environ else None, ) server_instances.add(self) diff --git a/examples/server/utils.hpp b/examples/server/utils.hpp index c5987250c..3d2c04666 100644 --- a/examples/server/utils.hpp +++ b/examples/server/utils.hpp @@ -17,6 +17,7 @@ #define JSON_ASSERT GGML_ASSERT #include "json.hpp" #include "minja.hpp" +#include "chat.hpp" #include "chat-template.hpp" #include @@ -376,7 +377,7 @@ inline std::string format_chat(const common_chat_template & tmpl, const std::vec throw std::runtime_error("Missing 'content' (ref: https://github.com/ggerganov/llama.cpp/issues/8367)"); } - chat.push_back({role, content}); + chat.push_back({role, content, /* tool_calls= */ {}}); } const auto formatted_chat = common_chat_apply_template(tmpl, chat, true, /* use_jinja= */ false); @@ -483,14 +484,13 @@ static bool ends_with(const std::string & str, const std::string & suffix) { static size_t find_partial_stop_string(const std::string &stop, const std::string &text) { if (!text.empty() && !stop.empty()) { - const char text_last_char = text.back(); - for (int64_t char_index = stop.size() - 1; char_index >= 0; char_index--) { - if (stop[char_index] == text_last_char) { - const std::string current_partial = stop.substr(0, char_index + 1); - if (ends_with(text, current_partial)) { - return text.size() - char_index - 1; - } + auto it = std::find(stop.rbegin(), stop.rend(), text.back()); + while (it != stop.rend()) { + size_t length = std::distance(it, stop.rend()); + if (text.length() >= length && 0 == text.compare(text.length() - length, length, stop)) { + return text.length() - length; } + it = std::find(std::next(it), stop.rend(), text.back()); } } @@ -580,21 +580,30 @@ static json oaicompat_completion_params_parse(const json & body) { static json oaicompat_completion_params_parse( const json & body, /* openai api json semantics */ - const common_chat_template & tmpl, - bool use_jinja) + bool use_jinja, + const common_chat_templates & chat_templates) { json llama_params; + const auto & tmpl = body.contains("tools") && chat_templates.template_tool_use + ? *chat_templates.template_tool_use + : *chat_templates.template_default; auto tools = json_value(body, "tools", json()); - auto has_tools = tools.is_array() && !tools.empty(); + auto stream = json_value(body, "stream", false); - if (has_tools) { - if (use_jinja) { - LOG_WRN("tools param is not fully supported yet\n"); - } else { + if (tools.is_array() && !tools.empty()) { + if (stream) { + throw std::runtime_error("Cannot use tools with stream"); + } + if (!use_jinja) { throw std::runtime_error("tools param requires --jinja flag"); } } + if (!use_jinja) { + if (body.contains("tool_choice") && !body.at("tool_choice").is_null()) { + throw std::runtime_error("Unsupported param: tool_choice"); + } + } // Handle "stop" field if (body.contains("stop") && body.at("stop").is_string()) { @@ -619,7 +628,38 @@ static json oaicompat_completion_params_parse( // Apply chat template to the list of messages if (use_jinja) { - llama_params["prompt"] = tmpl.apply(body.at("messages"), tools, /* add_generation_prompt= */ true); + auto tool_choice = json_value(body, "tool_choice", std::string("auto")); + if (tool_choice != "none" && tool_choice != "auto" && tool_choice != "required") { + throw std::runtime_error("Invalid tool_choice: " + tool_choice); + } + if (tool_choice != "none" && llama_params.contains("grammar")) { + throw std::runtime_error("Cannot use custom grammar constraints with tools."); + } + common_chat_inputs inputs; + inputs.messages = body.at("messages"); + inputs.tools = tools; + inputs.tool_choice = tool_choice; + inputs.parallel_tool_calls = json_value(body, "parallel_tool_calls", false); + inputs.stream = stream; + // TODO: support mixing schema w/ tools beyond generic format. + inputs.json_schema = json_value(llama_params, "json_schema", json::object()); + auto chat_params = common_chat_params_init(tmpl, inputs); + + llama_params["chat_format"] = static_cast(chat_params.format); + llama_params["prompt"] = chat_params.prompt; + llama_params["grammar"] = chat_params.grammar; + llama_params["grammar_lazy"] = chat_params.grammar_lazy; + auto grammar_triggers = json::array(); + for (const auto & trigger : chat_params.grammar_triggers) { + grammar_triggers.push_back({ + {"word", trigger.word}, + {"at_start", trigger.at_start}, + }); + } + llama_params["grammar_triggers"] = grammar_triggers; + for (const auto & stop : chat_params.additional_stops) { + llama_params["stop"].push_back(stop); + } } else { llama_params["prompt"] = format_chat(tmpl, body.at("messages")); } @@ -638,14 +678,6 @@ static json oaicompat_completion_params_parse( throw std::runtime_error("top_logprobs requires logprobs to be set to true"); } - // Params supported by OAI but unsupported by llama.cpp - static const std::vector unsupported_params { "tool_choice" }; - for (const auto & param : unsupported_params) { - if (body.contains(param)) { - throw std::runtime_error("Unsupported param: " + param); - } - } - // Copy remaining properties to llama_params // This allows user to use llama.cpp-specific params like "mirostat", ... via OAI endpoint. // See "launch_slot_with_task()" for a complete list of params supported by llama.cpp diff --git a/include/llama.h b/include/llama.h index 3b75e7607..61907ed40 100644 --- a/include/llama.h +++ b/include/llama.h @@ -1199,6 +1199,18 @@ extern "C" { const char * grammar_str, const char * grammar_root); + /// @details Lazy grammar sampler, introduced in https://github.com/ggerganov/llama.cpp/pull/9639 + /// @param trigger_words A list of words that will trigger the grammar sampler. This may be updated to a loose regex syntax (w/ ^) in a near future. + /// @param trigger_tokens A list of tokens that will trigger the grammar sampler. + LLAMA_API struct llama_sampler * llama_sampler_init_grammar_lazy( + const struct llama_vocab * vocab, + const char * grammar_str, + const char * grammar_root, + const char ** trigger_words, + size_t num_trigger_words, + const llama_token * trigger_tokens, + size_t num_trigger_tokens); + /// NOTE: Avoid using on the full vocabulary as searching for repeated tokens can become slow. For example, apply top-k or top-p sampling first. LLAMA_API struct llama_sampler * llama_sampler_init_penalties( int32_t penalty_last_n, // last n tokens to penalize (0 = disable penalty, -1 = context size) diff --git a/models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja b/models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja new file mode 100644 index 000000000..f5baef30b --- /dev/null +++ b/models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja @@ -0,0 +1,202 @@ + +{%- macro json_to_python_type(json_spec) %} +{%- set basic_type_map = { + "string": "str", + "number": "float", + "integer": "int", + "boolean": "bool" +} %} + +{%- if basic_type_map[json_spec.type] is defined %} + {{- basic_type_map[json_spec.type] }} +{%- elif json_spec.type == "array" %} + {{- "List[" + json_to_python_type(json_spec.items) + "]"}} +{%- elif json_spec.type == "object" %} + {{- "Dict[str, " + json_to_python_type(json_spec.additionalProperties) + ']'}} +{%- elif json_spec.type is iterable %} + {{- "Union[" }} + {%- for t in json_spec.type %} + {{- json_to_python_type({"type": t}) }} + {%- if not loop.last %} + {{- "," }} + {%- endif %} + {%- endfor %} + {{- "]" }} +{%- else %} + {{- "Any" }} +{%- endif %} +{%- endmacro %} + +{%- macro old_tool_parser(tools) %} +{%- for tool in tools %} + {%- if loop.index0 != 0 %} + {{- '\n\n' }} + {%- endif %} + {{- '```python\ndef ' + tool.name + '(' }} + {%- for param_name, param_fields in tool.parameter_definitions|items %} + {%- if loop.index0 != 0 %} + {{- ', '}} + {%- endif %} + {{- param_name + ': ' }} + {%- if not param_fields.required %} + {{- 'Optional[' + param_fields.type + '] = None'}} + {%- else %} + {{- param_fields.type }} + {%- endif %} + {%- endfor %} + {{- ') -> List[Dict]:\n """'}} + {{- tool.description }} + {%- if tool.parameter_definitions|length != 0 %} + {{- '\n\n Args:\n '}} + {%- for param_name, param_fields in tool.parameter_definitions|items %} + {%- if loop.index0 != 0 %} + {{- '\n ' }} + {%- endif %} + {{- param_name + ' ('}} + {%- if not param_fields.required %} + {{- 'Optional[' + param_fields.type + ']'}} + {%- else %} + {{- param_fields.type }} + {%- endif %} + {{- '): ' + param_fields.description }} + {%- endfor %} + {%- endif %} + {{- '\n """\n pass\n```' }} +{%- endfor %} +{%- endmacro %} + +{%- macro new_tool_parser(tools) %} +{%- for tool in tools %} + {%- if loop.index0 != 0 %} + {{- '\n\n'}} + {%- endif %} + {%- if tool.function is defined %} + {%- set tool = tool.function %} + {%- endif %} + {{-'```python +def ' + tool.name + '('}} + {%- for param_name, param_fields in tool.parameters.properties|items %} + {%- if loop.index0 != 0 %} + {{- ', '}} + {%- endif %} + {{-param_name + ": "}} + {%- if not param_name in tool.parameters.required %} + {{-'Optional[' + json_to_python_type(param_fields) + '] = None'}} + {%- else %} + {{- json_to_python_type(param_fields) }} + {%- endif %} + {%- endfor %} + {{- ') -> List[Dict]: + """'}} + {{- tool.description }} + {%- if tool.parameters.properties|length != 0 %} + {{- '\n\n Args:\n '}} + {%- for param_name, param_fields in tool.parameters.properties|items %} + {%- if loop.index0 != 0 %} + {{- '\n ' }} + {%- endif %} + {{- param_name + ' ('}} + {%- if not param_name in tool.parameters.required %} + {{-'Optional[' + json_to_python_type(param_fields) + ']'}} + {%- else %} + {{- json_to_python_type(param_fields) }} + {%- endif %} + {{- '): ' + param_fields.description }} + {%- endfor %} + {%- endif %} + {{- '\n """\n pass\n```' }} +{%- endfor %} +{%- endmacro %} + +{{- bos_token }} +{%- if messages[0]['role'] == 'system' %} + {%- set loop_messages = messages[1:] %} + {%- set system_message = messages[0]['content'] %} +{%- else %} + {%- set loop_messages = messages %} + {%- set system_message = '## Task and Context\nYou help people answer their questions and other requests interactively. You will be asked a very wide array of requests on all kinds of topics. You will be equipped with a wide range of search engines or similar tools to help you, which you use to research your answer. You should focus on serving the user\'s needs as best you can, which will be wide-ranging.\n\n## Style Guide\nUnless the user asks for a different style of answer, you should answer in full sentences, using proper grammar and spelling.' %} +{%- endif %} +{{- '<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>' }} +{{- '# Safety Preamble' }} +{{- ' +The instructions in this section override those in the task description and style guide sections. Don\'t answer questions that are harmful or immoral.' }} +{{- ' + +# System Preamble' }} +{{- ' +## Basic Rules' }} +{{- ' +You are a powerful conversational AI trained by Cohere to help people. You are augmented by a number of tools, and your job is to use and consume the output of these tools to best help the user. You will see a conversation history between yourself and a user, ending with an utterance from the user. You will then see a specific instruction instructing you what kind of response to generate. When you answer the user\'s requests, you cite your sources in your answers, according to those instructions.' }} +{{- ' + +# User Preamble' }} +{{- ' +' + system_message }} +{{-' + +## Available Tools +Here is a list of tools that you have available to you: + +'}} +{%- set ns = namespace(new_tools=true) %} +{%- for tool in tools %} + {%- if tool.parameter_definitions is defined %} + {%- set ns.new_tools = false %} + {%- endif %} +{%- endfor %} +{%- if ns.new_tools %} + {{- new_tool_parser(tools) }} +{%- else %} + {{- old_tool_parser(tools) }} +{%- endif %} +{{- '<|END_OF_TURN_TOKEN|>'}} +{%- for message in loop_messages %} + {%- set content = message['content'] %} + {%- if message.role == 'user' %} + {{- '<|START_OF_TURN_TOKEN|><|USER_TOKEN|>' + content|trim + '<|END_OF_TURN_TOKEN|>' }} + {%- elif message.role == 'system' %} + {{- '<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>' + content|trim + '<|END_OF_TURN_TOKEN|>' }} + {%- elif message.role == 'assistant' and message.tool_calls is defined %} + {{- '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }} + {%- if message.content is defined %} + {{- message.content|trim }} + {%- endif %} + {{- '\nAction:\n```json\n[\n' }} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '{\n'|indent(4, first=true) }} + {{- '"tool_name": "'|indent(8, first=true) + tool_call.name + '",\n' }} + {{- '"parameters": '|indent(8, first=true) }} + {%- if tool_call.arguments is defined and tool_call.arguments|length > 0 %} + {{- tool_call.arguments|tojson(indent=4)|indent(8) }} + {{- '\n' }} + {%- else %} + {{- '{}\n' }} + {%- endif %} + {{- '}'|indent(4, first=true) }} + {%- if not loop.last %} + {{- ',\n' }} + {%- endif %} + {%- endfor %} + {{- "\n]```\n" }} + {%- elif message.role == 'assistant' %} + {{- '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' + content|trim + '<|END_OF_TURN_TOKEN|>' }} + {%- elif message.role == 'tool' %} + {{- '<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>\n' }} + {{- message.content|trim }} + {{- '<|END_OF_TURN_TOKEN|>' }} + {%- endif %} +{%- endfor %} +{{-'<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>Write \'Action:\' followed by a json-formatted list of actions that you want to perform in order to produce a good response to the user\'s last input. You can use any of the supplied tools any number of times, but you should aim to execute the minimum number of necessary actions for the input. You should use the `directly-answer` tool if calling the other tools is unnecessary. The list of actions you want to call should be formatted as a list of json objects, for example: +```json +[ + { + "tool_name": title of the tool in the specification, + "parameters": a dict of parameters to input into the tool as they are defined in the specs, or {} if it takes no parameters + } +]```<|END_OF_TURN_TOKEN|>'}} +{%- if add_generation_prompt %} + {{- '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }} +{%- endif %} diff --git a/models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja b/models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja new file mode 100644 index 000000000..149250bd5 --- /dev/null +++ b/models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja @@ -0,0 +1,152 @@ +{%- macro json_to_python_type(json_spec) %} +{%- set basic_type_map = { + "string": "str", + "number": "float", + "integer": "int", + "boolean": "bool" +} %} + +{%- if basic_type_map[json_spec.type] is defined %} + {{- basic_type_map[json_spec.type] }} +{%- elif json_spec.type == "array" %} + {{- "list[" + json_to_python_type(json_spec|items) + "]"}} +{%- elif json_spec.type == "object" %} + {%- if json_spec.additionalProperties is defined %} + {{- "dict[str, " + json_to_python_type(json_spec.additionalProperties) + ']'}} + {%- else %} + {{- "dict" }} + {%- endif %} +{%- elif json_spec.type is iterable %} + {{- "Union[" }} + {%- for t in json_spec.type %} + {{- json_to_python_type({"type": t}) }} + {%- if not loop.last %} + {{- "," }} + {%- endif %} + {%- endfor %} + {{- "]" }} +{%- else %} + {{- "Any" }} +{%- endif %} +{%- endmacro %} + + +{{- bos_token }} +{{- '<|im_start|>system +' }} +{{- "You are a function calling AI model. You are provided with function signatures within XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools: " }} +{%- for tool in tools %} + {%- if tool.function is defined %} + {%- set tool = tool.function %} + {%- endif %} + {{- '{"type": "function", "function": ' }} + {{- '{"name": "' + tool.name + '", ' }} + {{- '"description": "' + tool.name + '(' }} + {%- for param_name, param_fields in tool.parameters.properties|items %} + {{- param_name + ": " + json_to_python_type(param_fields) }} + {%- if not loop.last %} + {{- ", " }} + {%- endif %} + {%- endfor %} + {{- ")" }} + {%- if tool.return is defined %} + {{- " -> " + json_to_python_type(tool.return) }} + {%- endif %} + {{- " - " + tool.description + " + +" }} + {%- for param_name, param_fields in tool.parameters.properties|items %} + {%- if loop.first %} + {{- " Args: +" }} + {%- endif %} + {{- " " + param_name + "(" + json_to_python_type(param_fields) + "): " + param_fields.description|trim }} + {%- endfor %} + {%- if tool.return is defined and tool.return.description is defined %} + {{- " + Returns: + " + tool.return.description }} + {%- endif %} + {{- '"' }} + {{- ', "parameters": ' }} + {%- if tool.parameters.properties | length == 0 %} + {{- "{}" }} + {%- else %} + {{- tool.parameters|tojson }} + {%- endif %} + {{- "}" }} + {%- if not loop.last %} + {{- " +" }} + {%- endif %} +{%- endfor %} +{{- " " }} +{{- 'Use the following pydantic model json schema for each tool call you will make: {"properties": {"name": {"title": "Name", "type": "string"}, "arguments": {"title": "Arguments", "type": "object"}}, "required": ["name", "arguments"], "title": "FunctionCall", "type": "object"}} +' }} +{{- "For each function call return a json object with function name and arguments within XML tags as follows: +" }} +{{- " +" }} +{{- '{"name": , "arguments": } +' }} +{{- '<|im_end|> +' }} +{%- for message in messages %} + {%- if message.role == "user" or message.role == "system" or (message.role == "assistant" and message.tool_calls is not defined) %} + {{- '<|im_start|>' + message.role + ' +' + message.content + '<|im_end|>' + ' +' }} + {%- elif message.role == "assistant" %} + {{- '<|im_start|>' + message.role }} + {%- for tool_call in message.tool_calls %} + {{- ' + +' }} {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '{' }} + {{- '"name": "' }} + {{- tool_call.name }} + {{- '"' }} + {{- ', '}} + {%- if tool_call.arguments is defined %} + {{- '"arguments": ' }} + {%- if tool_call.arguments is string %} + {{- tool_call.arguments }} + {%- else %} + {{- tool_call.arguments|tojson }} + {%- endif %} + {%- endif %} + {{- '}' }} + {{- ' +' }} + {%- endfor %} + {{- '<|im_end|> +' }} + {%- elif message.role == "tool" %} + {%- if loop.previtem and loop.previtem.role != "tool" %} + {{- '<|im_start|>tool +' }} + {%- endif %} + {{- ' +' }} + {{- message.content }} + {%- if not loop.last %} + {{- ' + +' }} + {%- else %} + {{- ' +' }} + {%- endif %} + {%- if not loop.last and loop.nextitem.role != "tool" %} + {{- '<|im_end|>' }} + {%- elif loop.last %} + {{- '<|im_end|>' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant +' }} +{%- endif %} diff --git a/models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja b/models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja new file mode 100644 index 000000000..149250bd5 --- /dev/null +++ b/models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja @@ -0,0 +1,152 @@ +{%- macro json_to_python_type(json_spec) %} +{%- set basic_type_map = { + "string": "str", + "number": "float", + "integer": "int", + "boolean": "bool" +} %} + +{%- if basic_type_map[json_spec.type] is defined %} + {{- basic_type_map[json_spec.type] }} +{%- elif json_spec.type == "array" %} + {{- "list[" + json_to_python_type(json_spec|items) + "]"}} +{%- elif json_spec.type == "object" %} + {%- if json_spec.additionalProperties is defined %} + {{- "dict[str, " + json_to_python_type(json_spec.additionalProperties) + ']'}} + {%- else %} + {{- "dict" }} + {%- endif %} +{%- elif json_spec.type is iterable %} + {{- "Union[" }} + {%- for t in json_spec.type %} + {{- json_to_python_type({"type": t}) }} + {%- if not loop.last %} + {{- "," }} + {%- endif %} + {%- endfor %} + {{- "]" }} +{%- else %} + {{- "Any" }} +{%- endif %} +{%- endmacro %} + + +{{- bos_token }} +{{- '<|im_start|>system +' }} +{{- "You are a function calling AI model. You are provided with function signatures within XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools: " }} +{%- for tool in tools %} + {%- if tool.function is defined %} + {%- set tool = tool.function %} + {%- endif %} + {{- '{"type": "function", "function": ' }} + {{- '{"name": "' + tool.name + '", ' }} + {{- '"description": "' + tool.name + '(' }} + {%- for param_name, param_fields in tool.parameters.properties|items %} + {{- param_name + ": " + json_to_python_type(param_fields) }} + {%- if not loop.last %} + {{- ", " }} + {%- endif %} + {%- endfor %} + {{- ")" }} + {%- if tool.return is defined %} + {{- " -> " + json_to_python_type(tool.return) }} + {%- endif %} + {{- " - " + tool.description + " + +" }} + {%- for param_name, param_fields in tool.parameters.properties|items %} + {%- if loop.first %} + {{- " Args: +" }} + {%- endif %} + {{- " " + param_name + "(" + json_to_python_type(param_fields) + "): " + param_fields.description|trim }} + {%- endfor %} + {%- if tool.return is defined and tool.return.description is defined %} + {{- " + Returns: + " + tool.return.description }} + {%- endif %} + {{- '"' }} + {{- ', "parameters": ' }} + {%- if tool.parameters.properties | length == 0 %} + {{- "{}" }} + {%- else %} + {{- tool.parameters|tojson }} + {%- endif %} + {{- "}" }} + {%- if not loop.last %} + {{- " +" }} + {%- endif %} +{%- endfor %} +{{- " " }} +{{- 'Use the following pydantic model json schema for each tool call you will make: {"properties": {"name": {"title": "Name", "type": "string"}, "arguments": {"title": "Arguments", "type": "object"}}, "required": ["name", "arguments"], "title": "FunctionCall", "type": "object"}} +' }} +{{- "For each function call return a json object with function name and arguments within XML tags as follows: +" }} +{{- " +" }} +{{- '{"name": , "arguments": } +' }} +{{- '<|im_end|> +' }} +{%- for message in messages %} + {%- if message.role == "user" or message.role == "system" or (message.role == "assistant" and message.tool_calls is not defined) %} + {{- '<|im_start|>' + message.role + ' +' + message.content + '<|im_end|>' + ' +' }} + {%- elif message.role == "assistant" %} + {{- '<|im_start|>' + message.role }} + {%- for tool_call in message.tool_calls %} + {{- ' + +' }} {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '{' }} + {{- '"name": "' }} + {{- tool_call.name }} + {{- '"' }} + {{- ', '}} + {%- if tool_call.arguments is defined %} + {{- '"arguments": ' }} + {%- if tool_call.arguments is string %} + {{- tool_call.arguments }} + {%- else %} + {{- tool_call.arguments|tojson }} + {%- endif %} + {%- endif %} + {{- '}' }} + {{- ' +' }} + {%- endfor %} + {{- '<|im_end|> +' }} + {%- elif message.role == "tool" %} + {%- if loop.previtem and loop.previtem.role != "tool" %} + {{- '<|im_start|>tool +' }} + {%- endif %} + {{- ' +' }} + {{- message.content }} + {%- if not loop.last %} + {{- ' + +' }} + {%- else %} + {{- ' +' }} + {%- endif %} + {%- if not loop.last and loop.nextitem.role != "tool" %} + {{- '<|im_end|>' }} + {%- elif loop.last %} + {{- '<|im_end|>' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant +' }} +{%- endif %} diff --git a/models/templates/Qwen-Qwen2.5-7B-Instruct.jinja b/models/templates/Qwen-Qwen2.5-7B-Instruct.jinja new file mode 100644 index 000000000..bdf7919a9 --- /dev/null +++ b/models/templates/Qwen-Qwen2.5-7B-Instruct.jinja @@ -0,0 +1,54 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0]['role'] == 'system' %} + {{- messages[0]['content'] }} + {%- else %} + {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }} + {%- endif %} + {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0]['role'] == 'system' %} + {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }} + {%- else %} + {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- for message in messages %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %} + {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {{- '<|im_start|>' + message.role }} + {%- if message.content %} + {{- '\n' + message.content }} + {%- endif %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {{- tool_call.arguments | tojson }} + {{- '}\n' }} + {%- endfor %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- message.content }} + {{- '\n' }} + {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} +{%- endif %} diff --git a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja new file mode 100644 index 000000000..02a1c3bce --- /dev/null +++ b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja @@ -0,0 +1 @@ +{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '' in content %}{% set content = content.split('')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜>'}}{% endif %} \ No newline at end of file diff --git a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja new file mode 100644 index 000000000..2ebfe7c1e --- /dev/null +++ b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja @@ -0,0 +1,56 @@ +{% if not add_generation_prompt is defined %} +{% set add_generation_prompt = false %} +{% endif %} +{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %} +{%- for message in messages %} +{%- if message['role'] == 'system' %} +{% set ns.system_prompt = message['content'] %} +{%- endif %} +{%- endfor %} +{{bos_token}} +{{ns.system_prompt}} +{%- for message in messages %} +{%- if message['role'] == 'user' %} +{%- set ns.is_tool = false -%} +{{'<｜User｜>' + message['content']}} +{%- endif %} +{%- if message['role'] == 'assistant' and message['content'] is none %} +{%- set ns.is_tool = false -%} +{%- for tool in message['tool_calls']%} +{%- if not ns.is_first %} +{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}} +{%- set ns.is_first = true -%} +{%- else %} +{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}} +{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}} +{%- endif %} +{%- endfor %} +{%- endif %} +{%- if message['role'] == 'assistant' and message['content'] is not none %} +{%- if ns.is_tool %} +{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}} +{%- set ns.is_tool = false -%} +{%- else %} +{% set content = message['content'] %} +{% if '' in content %} +{% set content = content.split('')[-1] %} +{% endif %} +{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}} +{%- endif %} +{%- endif %} +{%- if message['role'] == 'tool' %} +{%- set ns.is_tool = true -%} +{%- if ns.is_output_first %} +{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}} +{%- set ns.is_output_first = false %} +{%- else %} +{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}} +{%- endif %} +{%- endif %} +{%- endfor -%} +{% if ns.is_tool %} +{{'<｜tool▁outputs▁end｜>'}} +{% endif %} +{% if add_generation_prompt and not ns.is_tool %} +{{'<｜Assistant｜>'}} +{% endif %} \ No newline at end of file diff --git a/models/templates/fireworks-ai-llama-3-firefunction-v2.jinja b/models/templates/fireworks-ai-llama-3-firefunction-v2.jinja new file mode 100644 index 000000000..9b8136df7 --- /dev/null +++ b/models/templates/fireworks-ai-llama-3-firefunction-v2.jinja @@ -0,0 +1,57 @@ +{%- set loop_messages = messages -%} +{%- set message_roles = ['system', 'user', 'assistant', 'tool'] -%} +{%- set system_prompt_suffix -%} +{%- filter trim -%} +In addition to plain text responses, you can chose to call one or more of the provided functions. + +Use the following rule to decide when to call a function: + * if the response can be generated from your internal knowledge (e.g., as in the case of queries like "What is the capital of Poland?"), do so + * if you need external information that can be obtained by calling one or more of the provided functions, generate a function calls + +If you decide to call functions: + * prefix function calls with functools marker (no closing marker required) + * all function calls should be generated in a single JSON list formatted as functools[{"name": [function name], "arguments": [function arguments as JSON]}, ...] + * follow the provided JSON schema. Do not hallucinate arguments or values. Do to blindly copy values from the provided samples + * respect the argument type formatting. E.g., if the type if number and format is float, write value 7 as 7.0 + * make sure you pick the right functions that match the user intent + +Available functions as JSON spec: +{%- endfilter -%} +{%- endset -%} +{%- set system_prompt_suffix = system_prompt_suffix + "\n" + functions -%} +{%- set system_prompt_suffix = system_prompt_suffix + '\nToday is ' + datetime + '.' -%} +{%- set ns = namespace(role='', content='') -%} +{#- Basic consistency checks -#} +{%- if not loop_messages -%} + {{ raise_exception('Expected non-empty messages') }} +{%- endif -%} +{%- for message in loop_messages -%} + {%- set ns.role = message['role'] | lower -%} + {%- if ns.role not in message_roles -%} + {%- set message_roles_string = message_roles | join(', ') -%} + {{ raise_exception('Invalid role ' + message['role'] + '. Only ' + message_roles_string + ' are supported.') }} + {%- endif -%} + {%- set msg_content = message['content'] | default('', true) | trim -%} + {%- if loop.index0 == 0 -%} + {%- if ns.role == 'system' -%} + {%- set system_prompt = '<|start_header_id|>' + 'system' + '<|end_header_id|>\n\n' + message['content'] | trim + '\n' + system_prompt_suffix + '<|eot_id|>' -%} + {%- else -%} + {%- set system_prompt = '<|start_header_id|>' + 'system' + '<|end_header_id|>\n\nYou are a helpful assistant with access to functions.\n' + system_prompt_suffix + '<|eot_id|>' -%} + {%- endif -%} + {%- set ns.content = bos_token + system_prompt -%} + {{- ns.content -}} + {%- endif -%} + {%- if loop.index0 > 0 or ns.role != 'system' -%} + {%- set ns.content = '<|start_header_id|>' + ns.role + '<|end_header_id|>\n\n' + msg_content -%} + {%- if 'tool_calls' in message and message['tool_calls'] -%} + {%- set tool = namespace(calls=[]) -%} + {%- for call in message['tool_calls'] -%} + {%- set tool.calls = tool.calls + ['{"name": "' + call['function']['name'] + '", "arguments": ' + call['function']['arguments'] + '}'] -%} + {%- endfor -%} + {%- set ns.content = ns.content + ' functools[' + tool.calls | join(', ') + ']' -%} + {%- endif -%} + {%- set ns.content = ns.content + '<|eot_id|>' -%} + {{- ns.content -}} + {%- endif -%} +{%- endfor -%} +{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} diff --git a/models/templates/google-gemma-2-2b-it.jinja b/models/templates/google-gemma-2-2b-it.jinja new file mode 100644 index 000000000..923ec253c --- /dev/null +++ b/models/templates/google-gemma-2-2b-it.jinja @@ -0,0 +1,4 @@ +{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '' + role + ' +' + message['content'] | trim + ' +' }}{% endfor %}{% if add_generation_prompt %}{{'model +'}}{% endif %} \ No newline at end of file diff --git a/models/templates/meetkai-functionary-medium-v3.1.jinja b/models/templates/meetkai-functionary-medium-v3.1.jinja new file mode 100644 index 000000000..29d64a215 --- /dev/null +++ b/models/templates/meetkai-functionary-medium-v3.1.jinja @@ -0,0 +1,58 @@ +{# version=v3-llama3.1 #}{%- if not tools is defined -%} + {%- set tools = none -%} +{%- endif -%} + +{%- set has_code_interpreter = tools | selectattr("type", "equalto", "code_interpreter") | list | length > 0 -%} +{%- if has_code_interpreter -%} + {%- set tools = tools | rejectattr("type", "equalto", "code_interpreter") | list -%} +{%- endif -%} + +{#- System message + builtin tools #} +{{- bos_token + "<|start_header_id|>system<|end_header_id|>\n\n" }} +{%- if has_code_interpreter %} + {{- "Environment: ipython\n\n" }} +{%- else -%} + {{ "\n"}} +{%- endif %} +{{- "Cutting Knowledge Date: December 2023\n\n" }} +{%- if tools %} + {{- "\nYou have access to the following functions:\n\n" }} + {%- for t in tools %} + {%- if "type" in t -%} + {{ "Use the function '"|safe + t["function"]["name"] + "' to '"|safe + t["function"]["description"] + "'\n"|safe + t["function"] | tojson() }} + {%- else -%} + {{ "Use the function '"|safe + t["name"] + "' to '"|safe + t["description"] + "'\n"|safe + t | tojson() }} + {%- endif -%} + {{- "\n\n" }} + {%- endfor %} + {{- '\nThink very carefully before calling functions.\nIf a you choose to call a function ONLY reply in the following format:\n<{start_tag}={function_name}>{parameters}{end_tag}\nwhere\n\nstart_tag => ` a JSON dict with the function argument name as key and function argument value as value.\nend_tag => ``\n\nHere is an example,\n{"example_name": "example_value"}\n\nReminder:\n- If looking for real time information use relevant functions before falling back to brave_search\n- Function calls MUST follow the specified format, start with \n- Required parameters MUST be specified\n- Only call one function at a time\n- Put the entire function call reply on one line\n\n' -}} +{%- endif %} +{{- "<|eot_id|>" -}} + +{%- for message in messages -%} + {%- if message['role'] == 'user' or message['role'] == 'system' -%} + {{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n' + message['content'] + '<|eot_id|>' }} + {%- elif message['role'] == 'tool' -%} + {{ '<|start_header_id|>ipython<|end_header_id|>\n\n' + message['content'] + '<|eot_id|>' }} + {%- else -%} + {{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'}} + {%- if message['content'] -%} + {{ message['content'] }} + {%- endif -%} + {%- if 'tool_calls' in message and message['tool_calls'] -%} + {%- for tool_call in message['tool_calls'] -%} + {%- if tool_call["function"]["name"] == "python" -%} + {{ '<|python_tag|>' + tool_call['function']['arguments'] }} + {%- else -%} + {{ '' + tool_call['function']['arguments'] + '' }} + {%- endif -%} + {%- endfor -%} + {{ '<|eom_id|>' }} + {%- else -%} + {{ '<|eot_id|>' }} + {%- endif -%} + {%- endif -%} +{%- endfor -%} +{%- if add_generation_prompt -%} + {{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }} +{%- endif -%} \ No newline at end of file diff --git a/models/templates/meetkai-functionary-medium-v3.2.jinja b/models/templates/meetkai-functionary-medium-v3.2.jinja new file mode 100644 index 000000000..74fd1e7af --- /dev/null +++ b/models/templates/meetkai-functionary-medium-v3.2.jinja @@ -0,0 +1,287 @@ +{# version=v3.llama3 #}{%- macro append_new_param_info(param_declaration, comment_info, examples_info, depth) -%} + {%- set offset = "" -%} + {%- if depth >= 1 -%} + {%- set offset = " " * depth -%} + {%- endif -%} + {%- if comment_info != "<|NONE|>" -%} + {{ "\n" + offset + comment_info }} + {%- if examples_info | length > 0 -%} + {# Append each example info #} + {%- for example in examples_info -%} + {{ "\n" + offset + "// " + example|string|replace("'", '"') }} + {%- endfor -%} + {%- endif -%} + {%- endif -%} + {{ "\n" + offset + param_declaration }} +{%- endmacro -%} + +{%- macro convert_data_type(param_type) -%} + {%- if param_type == "integer" or param_type == "float" -%} + {{ "number" }} + {%- else -%} + {{ param_type }} + {%- endif -%} +{%- endmacro -%} + +{%- macro get_param_type(param) -%} + {%- set param_type = "any" -%} + + {%- if "type" in param -%} + {%- set raw_param_type = param["type"] -%} + {%- if raw_param_type is iterable and raw_param_type is not string -%} + {%- set param_type = raw_param_type | join(" | ") -%} + {%- else -%} + {%- set param_type = raw_param_type -%} + {%- endif -%} + {{ convert_data_type(param_type) }} + {%- elif "oneOf" in param -%} + {%- set one_of_types = param["oneOf"]|selectattr("type", "defined")|list -%} + {%- set one_of_types = one_of_types|map(attribute="type")|unique|list -%} + {{ convert_data_type(one_of_types | join(" | ")) }} + {%- endif -%} +{%- endmacro -%} + +{%- macro get_format_param(param) -%} + {%- if "format" in param -%} + {{ param["format"] }} + {%- elif "oneOf" in param -%} + {%- set formats = [] -%} + {%- for item in param["oneOf"] -%} + {%- if "format" in item -%} + {%- if item["format"] == param["oneOf"][-1]["format"] -%} + {{ item["format"] }} + {%- else -%} + {{ item["format"] + " or "}} + {%- endif -%} + {%- endif -%} + {%- endfor -%} + {%- else -%} + {{ "<|NONE|>" }} + {%- endif -%} +{%- endmacro -%} + +{%- macro get_param_info(param) -%} + {%- set param_type = param.get("type", "any") -%} + {%- set format_param = get_format_param(param) -%} + + {%- if "description" in param or "default" in param or format_param != "<|NONE|>" or param["maximum"] or param["minimum"] or param["maxLength"] or param["minLength"] -%} + {{ "//" }} + {%- if "description" in param -%} + {%- set desc = param["description"] -%} + {%- if not desc.endswith(".") -%} + {%- set desc = desc + "." -%} + {%- endif -%} + {{ " " + desc }} + {%- endif -%} + + {%- if "default" in param -%} + {%- set default_value = param["default"] -%} + {%- if param_type == "string" -%} + {%- set default_value = '"' ~ default_value ~ '"' -%} + {%- endif -%} + {{ " Default=" ~ default_value ~ "." }} + {%- endif -%} + + {%- set format_param = get_format_param(param) -%} + {%- if format_param != "<|NONE|>" -%} + {{ " Format=" ~ format_param }} + {%- endif -%} + + {%- for field, field_name in [("maximum", "Maximum"), ("minimum", "Minimum"), ("maxLength", "Maximum length"), ("minLength", "Minimum length")] -%} + {%- if field in param -%} + {{ " " + field_name ~ "=" ~ param[field] }} + {%- endif -%} + {%- endfor -%} + {%- else -%} + {{ "<|NONE|>"}} + {%- endif -%} +{%- endmacro -%} + +{%- macro get_enum_option_str(enum_options) -%} + {%- for v in enum_options -%} + {%- if v is string -%} + {{ '"' + v + '"' }} + {%- else -%} + {{ v }} + {%- endif -%} + {%- if enum_options|length > 0 and v != enum_options[-1] -%} + {{ " | " }} + {%- endif -%} + {%- endfor -%} +{%- endmacro -%} + +{%- macro get_array_typescript(param_name, param_dic, depth) -%} + {%- set offset = '' -%} + {%- if depth >= 1 -%} + {%- set offset = " " * depth -%} + {%- endif -%} + {%- set items_info = param_dic.get('items', {}) -%} + + {%- if items_info|length == 0 -%} + {%- if param_name -%} + {{ "\n" + offset + param_name + ": []" }} + {%- else -%} + {{ "\n" + offset + "[]" }} + {%- endif -%} + {%- else -%} + {%- set array_type = get_param_type(items_info) -%} + {%- if array_type == 'object' -%} + {%- if param_name -%} + {{ "\n" + offset + param_name + ": {" }} + {%- else -%} + {{ "\n" + offset + "{" }} + {%- endif -%} + {{ get_parameter_typescript(items_info.get('properties', {}), items_info.get('required', []), depth + 1) -}} + {{- "\n" + offset + "}[]" }} + {%- elif array_type == 'array' -%} + {%- set item_info = get_array_typescript(None, items_info, depth + 1) -%} + {%- if not param_name -%} + {{ "\n" + item_info + "[]" }} + {%- else -%} + {{ "\n" + offset + param_name + ": " + item_info|trim + "[]" }} + {%- endif -%} + {%- else -%} + {%- if 'enum' in items_info -%} + {%- set item_type = get_enum_option_str(items_info['enum']) -%} + {%- if param_name is none -%} + {{ "(" + item_type + ")[]"}} + {%- else -%} + {{ "\n" + offset + param_name + ": (" + item_type + ")[]" }} + {%- endif -%} + {%- else -%} + {%- if param_name is none -%} + {{ "\n" + array_type + "[]" }} + {%- else -%} + {{ "\n" + offset + param_name + ": " + array_type + "[]," }} + {%- endif -%} + {%- endif -%} + {%- endif -%} + {%- endif -%} +{%- endmacro -%} + +{%- macro get_parameter_typescript(properties, required_params, depth=0) -%} + {%- set res = "" -%} + {%- for param_name, param in properties.items() -%} + {%- if param is mapping -%} + {%- set comment_info = get_param_info(param) -%} + {# Param Examples #} + {%- set examples_info = [] -%} + {%- if "examples" in param -%} + {%- set examples_info = ["Example " + param_name + ":"] -%} + {%- set examples_info = examples_info + param["examples"] -%} + {%- endif -%} + + {# Param Name declaration #} + {%- set param_declaration = param_name -%} + {%- if required_params is iterable and param_name not in required_params -%} + {%- set param_declaration = param_declaration + "?" -%} + {%- endif -%} + + {%- set param_type = get_param_type(param) -%} + + {# Handle indentation based on depth #} + {%- set offset = "" -%} + {%- if depth >= 1 -%} + {%- set offset = " " * depth -%} + {%- endif -%} + + {%- if param_type == "object" -%} + {%- if comment_info != "<|NONE|>" -%} + {{ "\n" + offset + comment_info }} + {%- endif -%} + {%- if examples_info|length > 0 -%} + {%- for example in examples_info -%} + {{ "\n" + offset + "// " + example|string|replace("'", '"') }} + {%- endfor -%} + {%- endif -%} + {%- set param_declaration = param_declaration + ": {" -%} + {{ "\n" + offset + param_declaration -}} + {{- get_parameter_typescript(param.get("properties", {}), param.get("required", []), depth + 1) -}} + {{- "\n" + offset + "}," }} + {%- elif param_type == "array" -%} + {%- set item_info = param.get("items", {}) -%} + {%- if "type" not in item_info -%} + {%- set param_declaration = param_declaration + ": []," -%} + {{ append_new_param_info(param_declaration, comment_info, examples_info, depth) }} + {%- else -%} + {%- if comment_info != "<|NONE|>" -%} + {{ "\n" + offset + comment_info }} + {%- endif -%} + {%- if examples_info|length > 0 -%} + {%- for example in examples_info -%} + {{ "\n" + offset + "// " + example|string|replace("'", '"') }} + {%- endfor -%} + {%- endif -%} + {%- set array_declaration = get_array_typescript(param_declaration, param, depth) -%} + {%- if not array_declaration.endswith(",") -%} + {%- set array_declaration = array_declaration + "," -%} + {%- endif -%} + {{ array_declaration}} + {%- endif -%} + {%- else -%} + {%- if "enum" in param -%} + {%- set param_type = get_enum_option_str(param["enum"]) -%} + {%- endif -%} + {%- if "nullable" in param and param["nullable"] -%} + {%- set param_type = param_type + " | null" -%} + {%- endif -%} + {%- set param_declaration = param_declaration + ": " + param_type + "," -%} + {{ append_new_param_info(param_declaration, comment_info, examples_info, depth) }} + {%- endif -%} + {%- endif -%} + {%- endfor -%} +{%- endmacro -%} + +{%- macro generate_schema_from_functions(functions, namespace='functions') -%} + {{ "// Supported function definitions that should be called when necessary.\n" -}} + {{- "namespace " + namespace + " {\n\n" -}} + + {%- for function in functions -%} + {%- if function.get("function") -%} + {%- set function = function.get("function") -%} + {%- endif -%} + + {%- set function_name = function.get("name") -%} + {%- if function_name -%} + {%- set description = function.get('description', '') -%} + {%- set parameters = function.get('parameters', {}) -%} + {{- "// " + description + "\n" -}} + {{- "type " + function_name -}} + {%- if parameters and parameters.get("properties") -%} + {{- " = (_: {" -}} + {%- set required_params = parameters.get("required", []) -%} + {{ get_parameter_typescript(parameters.get("properties"), required_params, 0) -}} + {{- "\n}) => any;\n\n" }} + {%- else -%} + {{ " = () => any;\n\n" }} + {%- endif -%} + {%- endif -%} + {%- endfor -%} + {{ "} // namespace " + namespace }} +{%- endmacro -%} +{%- if not tools -%} + {%- set tools = [] -%} +{%- endif -%} +{{ bos_token + '<|start_header_id|>system<|end_header_id|>\n\nYou are capable of executing available function(s) if required.\nOnly execute function(s) when absolutely necessary.\nAsk for the required input to:recipient==all\nUse JSON for function arguments.\nRespond in this format:\n>>>${recipient}\n${content}\nAvailable functions:\n' + generate_schema_from_functions(tools) + '<|eot_id|>' -}} +{%- if tools|length > 0 and tools|selectattr("type", "equalto", "code_interpreter")|list|length > 0 -%} + {{ '<|start_header_id|>system<|end_header_id|>\n\nWhen you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. python will respond with the output of the execution or time out after 60.0 seconds. The drive at \'/mnt/data\' can be used to save and persist user files.<|eot_id|>' }} +{%- endif -%} +{%- for message in messages -%} + {%- if message['role'] == 'user' or message['role'] == 'system' -%} + {{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n' + message['content'] + '<|eot_id|>' }} + {%- elif message['role'] == 'tool' -%} + {{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n' + message['content'] + '<|eot_id|>' }} + {%- else -%} + {{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'}} + {%- if message['content'] -%} + {{ '>>>all\n' + message['content'] }} + {%- endif -%} + {%- if 'tool_calls' in message and message['tool_calls'] -%} + {%- for tool_call in message['tool_calls'] -%} + {{ '>>>' + tool_call['function']['name'] + '\n' + tool_call['function']['arguments'] }} + {%- endfor -%} + {%- endif -%} + {{ '<|eot_id|>' }} + {%- endif -%} +{%- endfor -%} +{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n>>>' }}{% endif %} \ No newline at end of file diff --git a/models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja b/models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja new file mode 100644 index 000000000..33089ace1 --- /dev/null +++ b/models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja @@ -0,0 +1,109 @@ +{{- bos_token }} +{%- if custom_tools is defined %} + {%- set tools = custom_tools %} +{%- endif %} +{%- if not tools_in_user_message is defined %} + {%- set tools_in_user_message = true %} +{%- endif %} +{%- if not date_string is defined %} + {%- set date_string = "26 Jul 2024" %} +{%- endif %} +{%- if not tools is defined %} + {%- set tools = none %} +{%- endif %} + +{#- This block extracts the system message, so we can slot it into the right place. #} +{%- if messages[0]['role'] == 'system' %} + {%- set system_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} +{%- else %} + {%- set system_message = "" %} +{%- endif %} + +{#- System message + builtin tools #} +{{- "<|start_header_id|>system<|end_header_id|>\n\n" }} +{%- if builtin_tools is defined or tools is not none %} + {{- "Environment: ipython\n" }} +{%- endif %} +{%- if builtin_tools is defined %} + {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}} +{%- endif %} +{{- "Cutting Knowledge Date: December 2023\n" }} +{{- "Today Date: " + date_string + "\n\n" }} +{%- if tools is not none and not tools_in_user_message %} + {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} +{%- endif %} +{{- system_message }} +{{- "<|eot_id|>" }} + +{#- Custom tools are passed in a user message with some extra guidance #} +{%- if tools_in_user_message and not tools is none %} + {#- Extract the first user message so we can plug it in here #} + {%- if messages | length != 0 %} + {%- set first_user_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} + {%- else %} + {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }} +{%- endif %} + {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}} + {{- "Given the following functions, please respond with a JSON for a function call " }} + {{- "with its proper arguments that best answers the given prompt.\n\n" }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} + {{- first_user_message + "<|eot_id|>"}} +{%- endif %} + +{%- for message in messages %} + {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %} + {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }} + {%- elif 'tool_calls' in message %} + {%- if not message.tool_calls|length == 1 %} + {{- raise_exception("This model only supports single tool-calls at once!") }} + {%- endif %} + {%- set tool_call = message.tool_calls[0].function %} + {%- if builtin_tools is defined and tool_call.name in builtin_tools %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} + {{- "<|python_tag|>" + tool_call.name + ".call(" }} + {%- for arg_name, arg_val in tool_call.arguments | items %} + {{- arg_name + '="' + arg_val + '"' }} + {%- if not loop.last %} + {{- ", " }} + {%- endif %} + {%- endfor %} + {{- ")" }} + {%- else %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} + {{- '{"name": "' + tool_call.name + '", ' }} + {{- '"parameters": ' }} + {{- tool_call.arguments | tojson }} + {{- "}" }} + {%- endif %} + {%- if builtin_tools is defined %} + {#- This means we're in ipython mode #} + {{- "<|eom_id|>" }} + {%- else %} + {{- "<|eot_id|>" }} + {%- endif %} + {%- elif message.role == "tool" or message.role == "ipython" %} + {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }} + {%- if message.content is mapping or message.content is iterable %} + {{- message.content | tojson }} + {%- else %} + {{- message.content }} + {%- endif %} + {{- "<|eot_id|>" }} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }} +{%- endif %} diff --git a/models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja b/models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja new file mode 100644 index 000000000..1bad6a0f6 --- /dev/null +++ b/models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja @@ -0,0 +1,93 @@ +{{- bos_token }} +{%- if custom_tools is defined %} + {%- set tools = custom_tools %} +{%- endif %} +{%- if not tools_in_user_message is defined %} + {%- set tools_in_user_message = true %} +{%- endif %} +{%- if not date_string is defined %} + {%- if strftime_now is defined %} + {%- set date_string = strftime_now("%d %b %Y") %} + {%- else %} + {%- set date_string = "26 Jul 2024" %} + {%- endif %} +{%- endif %} +{%- if not tools is defined %} + {%- set tools = none %} +{%- endif %} + +{#- This block extracts the system message, so we can slot it into the right place. #} +{%- if messages[0]['role'] == 'system' %} + {%- set system_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} +{%- else %} + {%- set system_message = "" %} +{%- endif %} + +{#- System message #} +{{- "<|start_header_id|>system<|end_header_id|>\n\n" }} +{%- if tools is not none %} + {{- "Environment: ipython\n" }} +{%- endif %} +{{- "Cutting Knowledge Date: December 2023\n" }} +{{- "Today Date: " + date_string + "\n\n" }} +{%- if tools is not none and not tools_in_user_message %} + {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} +{%- endif %} +{{- system_message }} +{{- "<|eot_id|>" }} + +{#- Custom tools are passed in a user message with some extra guidance #} +{%- if tools_in_user_message and not tools is none %} + {#- Extract the first user message so we can plug it in here #} + {%- if messages | length != 0 %} + {%- set first_user_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} + {%- else %} + {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }} +{%- endif %} + {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}} + {{- "Given the following functions, please respond with a JSON for a function call " }} + {{- "with its proper arguments that best answers the given prompt.\n\n" }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} + {{- first_user_message + "<|eot_id|>"}} +{%- endif %} + +{%- for message in messages %} + {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %} + {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }} + {%- elif 'tool_calls' in message %} + {%- if not message.tool_calls|length == 1 %} + {{- raise_exception("This model only supports single tool-calls at once!") }} + {%- endif %} + {%- set tool_call = message.tool_calls[0].function %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} + {{- '{"name": "' + tool_call.name + '", ' }} + {{- '"parameters": ' }} + {{- tool_call.arguments | tojson }} + {{- "}" }} + {{- "<|eot_id|>" }} + {%- elif message.role == "tool" or message.role == "ipython" %} + {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }} + {%- if message.content is mapping or message.content is iterable %} + {{- message.content | tojson }} + {%- else %} + {{- message.content }} + {%- endif %} + {{- "<|eot_id|>" }} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }} +{%- endif %} diff --git a/models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja b/models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja new file mode 100644 index 000000000..33089ace1 --- /dev/null +++ b/models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja @@ -0,0 +1,109 @@ +{{- bos_token }} +{%- if custom_tools is defined %} + {%- set tools = custom_tools %} +{%- endif %} +{%- if not tools_in_user_message is defined %} + {%- set tools_in_user_message = true %} +{%- endif %} +{%- if not date_string is defined %} + {%- set date_string = "26 Jul 2024" %} +{%- endif %} +{%- if not tools is defined %} + {%- set tools = none %} +{%- endif %} + +{#- This block extracts the system message, so we can slot it into the right place. #} +{%- if messages[0]['role'] == 'system' %} + {%- set system_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} +{%- else %} + {%- set system_message = "" %} +{%- endif %} + +{#- System message + builtin tools #} +{{- "<|start_header_id|>system<|end_header_id|>\n\n" }} +{%- if builtin_tools is defined or tools is not none %} + {{- "Environment: ipython\n" }} +{%- endif %} +{%- if builtin_tools is defined %} + {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}} +{%- endif %} +{{- "Cutting Knowledge Date: December 2023\n" }} +{{- "Today Date: " + date_string + "\n\n" }} +{%- if tools is not none and not tools_in_user_message %} + {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} +{%- endif %} +{{- system_message }} +{{- "<|eot_id|>" }} + +{#- Custom tools are passed in a user message with some extra guidance #} +{%- if tools_in_user_message and not tools is none %} + {#- Extract the first user message so we can plug it in here #} + {%- if messages | length != 0 %} + {%- set first_user_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} + {%- else %} + {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }} +{%- endif %} + {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}} + {{- "Given the following functions, please respond with a JSON for a function call " }} + {{- "with its proper arguments that best answers the given prompt.\n\n" }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} + {{- first_user_message + "<|eot_id|>"}} +{%- endif %} + +{%- for message in messages %} + {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %} + {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }} + {%- elif 'tool_calls' in message %} + {%- if not message.tool_calls|length == 1 %} + {{- raise_exception("This model only supports single tool-calls at once!") }} + {%- endif %} + {%- set tool_call = message.tool_calls[0].function %} + {%- if builtin_tools is defined and tool_call.name in builtin_tools %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} + {{- "<|python_tag|>" + tool_call.name + ".call(" }} + {%- for arg_name, arg_val in tool_call.arguments | items %} + {{- arg_name + '="' + arg_val + '"' }} + {%- if not loop.last %} + {{- ", " }} + {%- endif %} + {%- endfor %} + {{- ")" }} + {%- else %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} + {{- '{"name": "' + tool_call.name + '", ' }} + {{- '"parameters": ' }} + {{- tool_call.arguments | tojson }} + {{- "}" }} + {%- endif %} + {%- if builtin_tools is defined %} + {#- This means we're in ipython mode #} + {{- "<|eom_id|>" }} + {%- else %} + {{- "<|eot_id|>" }} + {%- endif %} + {%- elif message.role == "tool" or message.role == "ipython" %} + {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }} + {%- if message.content is mapping or message.content is iterable %} + {{- message.content | tojson }} + {%- else %} + {{- message.content }} + {%- endif %} + {{- "<|eot_id|>" }} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }} +{%- endif %} diff --git a/models/templates/microsoft-Phi-3.5-mini-instruct.jinja b/models/templates/microsoft-Phi-3.5-mini-instruct.jinja new file mode 100644 index 000000000..d1533d152 --- /dev/null +++ b/models/templates/microsoft-Phi-3.5-mini-instruct.jinja @@ -0,0 +1,8 @@ +{% for message in messages %}{% if message['role'] == 'system' and message['content'] %}{{'<|system|> +' + message['content'] + '<|end|> +'}}{% elif message['role'] == 'user' %}{{'<|user|> +' + message['content'] + '<|end|> +'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|> +' + message['content'] + '<|end|> +'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|> +' }}{% else %}{{ eos_token }}{% endif %} \ No newline at end of file diff --git a/models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja b/models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja new file mode 100644 index 000000000..9c21a3f13 --- /dev/null +++ b/models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja @@ -0,0 +1,87 @@ +{%- if messages[0]["role"] == "system" %} + {%- set system_message = messages[0]["content"] %} + {%- set loop_messages = messages[1:] %} +{%- else %} + {%- set loop_messages = messages %} +{%- endif %} +{%- if not tools is defined %} + {%- set tools = none %} +{%- endif %} +{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %} + +{#- This block checks for alternating user/assistant messages, skipping tool calling messages #} +{%- set ns = namespace() %} +{%- set ns.index = 0 %} +{%- for message in loop_messages %} + {%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %} + {%- if (message["role"] == "user") != (ns.index % 2 == 0) %} + {{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }} + {%- endif %} + {%- set ns.index = ns.index + 1 %} + {%- endif %} +{%- endfor %} + +{{- bos_token }} +{%- for message in loop_messages %} + {%- if message["role"] == "user" %} + {%- if tools is not none and (message == user_messages[-1]) %} + {{- "[AVAILABLE_TOOLS][" }} + {%- for tool in tools %} + {%- set tool = tool.function %} + {{- '{"type": "function", "function": {' }} + {%- for key, val in tool.items() if key != "return" %} + {%- if val is string %} + {{- '"' + key + '": "' + val + '"' }} + {%- else %} + {{- '"' + key + '": ' + val|tojson }} + {%- endif %} + {%- if not loop.last %} + {{- ", " }} + {%- endif %} + {%- endfor %} + {{- "}}" }} + {%- if not loop.last %} + {{- ", " }} + {%- else %} + {{- "]" }} + {%- endif %} + {%- endfor %} + {{- "[/AVAILABLE_TOOLS]" }} + {%- endif %} + {%- if loop.last and system_message is defined %} + {{- "[INST]" + system_message + "\n\n" + message["content"] + "[/INST]" }} + {%- else %} + {{- "[INST]" + message["content"] + "[/INST]" }} + {%- endif %} + {%- elif (message.tool_calls is defined and message.tool_calls is not none) %} + {{- "[TOOL_CALLS][" }} + {%- for tool_call in message.tool_calls %} + {%- set out = tool_call.function|tojson %} + {{- out[:-1] }} + {%- if not tool_call.id is defined or tool_call.id|length != 9 %} + {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }} + {%- endif %} + {{- ', "id": "' + tool_call.id + '"}' }} + {%- if not loop.last %} + {{- ", " }} + {%- else %} + {{- "]" + eos_token }} + {%- endif %} + {%- endfor %} + {%- elif message["role"] == "assistant" %} + {{- message["content"] + eos_token}} + {%- elif message["role"] == "tool_results" or message["role"] == "tool" %} + {%- if message.content is defined and message.content.content is defined %} + {%- set content = message.content.content %} + {%- else %} + {%- set content = message.content %} + {%- endif %} + {{- '[TOOL_RESULTS]{"content": ' + content|string + ", " }} + {%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %} + {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }} + {%- endif %} + {{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }} + {%- else %} + {{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }} + {%- endif %} +{%- endfor %} diff --git a/scripts/fetch_server_test_models.py b/scripts/fetch_server_test_models.py new file mode 100755 index 000000000..05690b138 --- /dev/null +++ b/scripts/fetch_server_test_models.py @@ -0,0 +1,105 @@ +#!/usr/bin/env python +''' + This script fetches all the models used in the server tests. + + This is useful for slow tests that use larger models, to avoid them timing out on the model downloads. + + It is meant to be run from the root of the repository. + + Example: + python scripts/fetch_server_test_models.py + ( cd examples/server/tests && ./tests.sh -v -x -m slow ) +''' +import ast +import glob +import logging +import os +from typing import Generator +from pydantic import BaseModel +from typing import Optional +import subprocess + + +class HuggingFaceModel(BaseModel): + hf_repo: str + hf_file: Optional[str] = None + + class Config: + frozen = True + + +def collect_hf_model_test_parameters(test_file) -> Generator[HuggingFaceModel, None, None]: + try: + with open(test_file) as f: + tree = ast.parse(f.read()) + except Exception as e: + logging.error(f'collect_hf_model_test_parameters failed on {test_file}: {e}') + return + + for node in ast.walk(tree): + if isinstance(node, ast.FunctionDef): + for dec in node.decorator_list: + if isinstance(dec, ast.Call) and isinstance(dec.func, ast.Attribute) and dec.func.attr == 'parametrize': + param_names = ast.literal_eval(dec.args[0]).split(",") + if "hf_repo" not in param_names: + continue + + raw_param_values = dec.args[1] + if not isinstance(raw_param_values, ast.List): + logging.warning(f'Skipping non-list parametrize entry at {test_file}:{node.lineno}') + continue + + hf_repo_idx = param_names.index("hf_repo") + hf_file_idx = param_names.index("hf_file") if "hf_file" in param_names else None + + for t in raw_param_values.elts: + if not isinstance(t, ast.Tuple): + logging.warning(f'Skipping non-tuple parametrize entry at {test_file}:{node.lineno}') + continue + yield HuggingFaceModel( + hf_repo=ast.literal_eval(t.elts[hf_repo_idx]), + hf_file=ast.literal_eval(t.elts[hf_file_idx]) if hf_file_idx is not None else None) + + +if __name__ == '__main__': + logging.basicConfig(level=logging.INFO, format='%(levelname)s: %(message)s') + + models = sorted(list(set([ + model + for test_file in glob.glob('examples/server/tests/unit/test_*.py') + for model in collect_hf_model_test_parameters(test_file) + ])), key=lambda m: (m.hf_repo, m.hf_file)) + + logging.info(f'Found {len(models)} models in parameterized tests:') + for m in models: + logging.info(f' - {m.hf_repo} / {m.hf_file}') + + cli_path = os.environ.get( + 'LLAMA_SERVER_BIN_PATH', + os.path.join( + os.path.dirname(__file__), + '../build/bin/Release/llama-cli.exe' if os.name == 'nt' else '../build/bin/llama-cli')) + + for m in models: + if '<' in m.hf_repo or (m.hf_file is not None and '<' in m.hf_file): + continue + if m.hf_file is not None and '-of-' in m.hf_file: + logging.warning(f'Skipping model at {m.hf_repo} / {m.hf_file} because it is a split file') + continue + logging.info(f'Using llama-cli to ensure model {m.hf_repo}/{m.hf_file} was fetched') + cmd = [ + cli_path, + '-hfr', m.hf_repo, + *([] if m.hf_file is None else ['-hff', m.hf_file]), + '-n', '1', + '-p', 'Hey', + '--no-warmup', + '--log-disable', + '-no-cnv'] + if m.hf_file != 'tinyllamas/stories260K.gguf' and 'Mistral-Nemo' not in m.hf_repo: + cmd.append('-fa') + try: + subprocess.check_call(cmd) + except subprocess.CalledProcessError: + logging.error(f'Failed to fetch model at {m.hf_repo} / {m.hf_file} with command:\n {" ".join(cmd)}') + exit(1) diff --git a/scripts/get_hf_chat_template.py b/scripts/get_chat_template.py old mode 100755 new mode 100644 similarity index 86% rename from scripts/get_hf_chat_template.py rename to scripts/get_chat_template.py index 23bb1de59..e8982d11a --- a/scripts/get_hf_chat_template.py +++ b/scripts/get_chat_template.py @@ -4,12 +4,12 @@ If a model has multiple chat templates, you can specify the variant name. Syntax: - ./scripts/get_hf_chat_template.py model_id [variant] + ./scripts/get_chat_template.py model_id [variant] Examples: - ./scripts/get_hf_chat_template.py NousResearch/Meta-Llama-3-8B-Instruct - ./scripts/get_hf_chat_template.py NousResearch/Hermes-3-Llama-3.1-8B tool_use - ./scripts/get_hf_chat_template.py meta-llama/Llama-3.2-3B-Instruct + ./scripts/get_chat_template.py NousResearch/Meta-Llama-3-8B-Instruct + ./scripts/get_chat_template.py NousResearch/Hermes-3-Llama-3.1-8B tool_use + ./scripts/get_chat_template.py meta-llama/Llama-3.2-3B-Instruct ''' import json @@ -17,7 +17,7 @@ import re import sys -def get_hf_chat_template(model_id, variant=None): +def get_chat_template(model_id, variant=None): try: # Use huggingface_hub library if available. # Allows access to gated models if the user has access and ran `huggingface-cli login`. @@ -69,7 +69,7 @@ def main(args): model_id = args[0] variant = None if len(args) < 2 else args[1] - template = get_hf_chat_template(model_id, variant) + template = get_chat_template(model_id, variant) sys.stdout.write(template) diff --git a/src/llama-grammar.cpp b/src/llama-grammar.cpp index bebe4e9a3..6be5cbe0e 100644 --- a/src/llama-grammar.cpp +++ b/src/llama-grammar.cpp @@ -560,7 +560,7 @@ bool llama_grammar_parser::parse(const char * src) { } } } catch (const std::exception & err) { - fprintf(stderr, "%s: error parsing grammar: %s\n", __func__, err.what()); + fprintf(stderr, "%s: error parsing grammar: %s\n\n%s\n", __func__, err.what(), src); rules.clear(); return false; } @@ -960,10 +960,28 @@ struct llama_grammar * llama_grammar_init_impl( // Important: vec_rules has to be moved here, not copied, because stacks contains // pointers to elements of vec_rules. If vec_rules were copied into llama_grammar // then the pointers would be invalidated when the local vec_rules goes out of scope. - return new llama_grammar { vocab, std::move(vec_rules), std::move(stacks), {}, }; + return new llama_grammar { + vocab, + std::move(vec_rules), + std::move(stacks), + /* .partial_utf8 = */ {}, + /* .lazy =*/ false, + /* .awaiting_trigger = */ false, + /* .trigger_buffer = */ "", + /* .trigger_tokens = */ {}, + /* .trigger_words = */ {}, + }; } -struct llama_grammar * llama_grammar_init_impl(const struct llama_vocab * vocab, const char * grammar_str, const char * grammar_root) { +struct llama_grammar * llama_grammar_init_impl( + const struct llama_vocab * vocab, + const char * grammar_str, + const char * grammar_root, + bool lazy, + const char ** trigger_words, + size_t num_trigger_words, + const llama_token * trigger_tokens, + size_t num_trigger_tokens) { llama_grammar_parser parser; // if there is a grammar, parse it @@ -1035,10 +1053,31 @@ struct llama_grammar * llama_grammar_init_impl(const struct llama_vocab * vocab, } } while (true); + std::vector vec_trigger_tokens; + std::vector vec_trigger_words; + for (size_t i = 0; i < num_trigger_tokens; i++) { + GGML_ASSERT(trigger_tokens != nullptr); + vec_trigger_tokens.push_back(trigger_tokens[i]); + } + for (size_t i = 0; i < num_trigger_words; i++) { + GGML_ASSERT(trigger_words != nullptr); + vec_trigger_words.push_back(trigger_words[i]); + } + // Important: vec_rules has to be moved here, not copied, because stacks contains // pointers to elements of vec_rules. If vec_rules were copied into llama_grammar // then the pointers would be invalidated when the local vec_rules goes out of scope. - return new llama_grammar { vocab, std::move(vec_rules), std::move(stacks), {}, }; + return new llama_grammar { + vocab, + std::move(vec_rules), + std::move(stacks), + /* .partial_utf8 = */ {}, + /* .lazy = */ lazy, + /* .awaiting_trigger = */ lazy, + /* .trigger_buffer = */ "", + std::move(vec_trigger_tokens), + std::move(vec_trigger_words), + }; } void llama_grammar_free_impl(struct llama_grammar * grammar) { @@ -1055,6 +1094,11 @@ struct llama_grammar * llama_grammar_clone_impl(const struct llama_grammar & gra grammar.rules, grammar.stacks, grammar.partial_utf8, + grammar.lazy, + grammar.awaiting_trigger, + grammar.trigger_buffer, + grammar.trigger_tokens, + grammar.trigger_words, }; // redirect elements in stacks to point to new rules @@ -1076,6 +1120,10 @@ struct llama_grammar * llama_grammar_clone_impl(const struct llama_grammar & gra void llama_grammar_apply_impl(const struct llama_grammar & grammar, llama_token_data_array * cur_p) { GGML_ASSERT(grammar.vocab != nullptr); + if (grammar.awaiting_trigger) { + return; + } + bool allow_eog = false; for (const auto & stack : grammar.stacks) { if (stack.empty()) { @@ -1115,6 +1163,34 @@ void llama_grammar_apply_impl(const struct llama_grammar & grammar, llama_token_ void llama_grammar_accept_impl(struct llama_grammar & grammar, llama_token token) { GGML_ASSERT(grammar.vocab != nullptr); + const auto & piece = grammar.vocab->token_to_piece(token); + + if (grammar.awaiting_trigger) { + if (std::find(grammar.trigger_tokens.begin(), grammar.trigger_tokens.end(), token) != grammar.trigger_tokens.end()) { + grammar.awaiting_trigger = false; + grammar.trigger_buffer.clear(); + llama_grammar_accept_str(grammar, piece); + LLAMA_LOG_DEBUG("Grammar triggered on token %u (`%s`)", token, piece.c_str()); + return; + } else { + // TODO: consider a smarter incremental substring search algorithm (store last position to search from). + grammar.trigger_buffer += piece; + for (const auto & word : grammar.trigger_words) { + auto pos = grammar.trigger_buffer.find(word); + if (pos != std::string::npos) { + grammar.awaiting_trigger = false; + auto constrained_str = grammar.trigger_buffer.substr(pos); + grammar.trigger_buffer.clear(); + llama_grammar_accept_str(grammar, constrained_str); + LLAMA_LOG_DEBUG("Grammar triggered on word `%s`", word.c_str()); + return; + } + } + LLAMA_LOG_DEBUG("Grammar still awaiting trigger after token %d (`%s`) (buffer: `%s`)\n", token, piece.c_str(), grammar.trigger_buffer.c_str()); + return; + } + } + if (grammar.vocab->is_eog(token)) { for (const auto & stack : grammar.stacks) { if (stack.empty()) { @@ -1124,8 +1200,10 @@ void llama_grammar_accept_impl(struct llama_grammar & grammar, llama_token token GGML_ABORT("fatal error"); } - const std::string & piece = grammar.vocab->token_to_piece(token); + llama_grammar_accept_str(grammar, piece); +} +void llama_grammar_accept_str(struct llama_grammar & grammar, const std::string & piece) { // Note terminating 0 in decoded string const auto decoded = decode_utf8(piece, grammar.partial_utf8); const auto & code_points = decoded.first; diff --git a/src/llama-grammar.h b/src/llama-grammar.h index f8b40c651..252d54d4c 100644 --- a/src/llama-grammar.h +++ b/src/llama-grammar.h @@ -114,6 +114,15 @@ struct llama_grammar { // buffer for partially generated UTF-8 sequence from accepted tokens llama_partial_utf8 partial_utf8; + + // lazy grammars wait for trigger words or tokens before constraining the sampling. + // we still ahve trigger_tokens for non-lazy grammars to force printing of special trigger tokens. + // (useful e.g. for tool_choice=required) + bool lazy = false; + bool awaiting_trigger = false; // Initialized to true for lazy grammars only + std::string trigger_buffer; // Output buffered by lazy grammar. Will be cleared once trigger is found. + std::vector trigger_tokens; // Tokens that trigger a lazy grammar, or tokens to force printing of (even if special). + std::vector trigger_words; }; // @@ -127,7 +136,15 @@ struct llama_grammar * llama_grammar_init_impl( size_t n_rules, size_t start_rule_index); -struct llama_grammar * llama_grammar_init_impl(const struct llama_vocab * vocab, const char * grammar_str, const char * grammar_root); +struct llama_grammar * llama_grammar_init_impl( + const struct llama_vocab * vocab, + const char * grammar_str, + const char * grammar_root, + bool lazy, + const char ** trigger_words, + size_t num_trigger_words, + const llama_token * trigger_tokens, + size_t num_trigger_tokens); void llama_grammar_free_impl(struct llama_grammar * grammar); @@ -141,3 +158,7 @@ void llama_grammar_apply_impl( void llama_grammar_accept_impl( struct llama_grammar & grammar, llama_token token); + +void llama_grammar_accept_str( + struct llama_grammar & grammar, + const std::string & piece); diff --git a/src/llama-sampling.cpp b/src/llama-sampling.cpp index b3a12386e..26974f539 100644 --- a/src/llama-sampling.cpp +++ b/src/llama-sampling.cpp @@ -1433,13 +1433,30 @@ static void llama_sampler_grammar_apply(struct llama_sampler * smpl, llama_token } } +// Fwd declare to break reset --> init_impl --> llama_sampler_grammar_i --> reset cycle. +static struct llama_sampler * llama_sampler_init_grammar_impl( + const struct llama_vocab * vocab, + const char * grammar_str, + const char * grammar_root, + bool lazy, + const char ** trigger_words, + size_t num_trigger_words, + const llama_token * trigger_tokens, + size_t num_trigger_tokens); + static void llama_sampler_grammar_reset(struct llama_sampler * smpl) { auto * ctx = (llama_sampler_grammar *) smpl->ctx; if (!ctx->grammar) { return; } - auto * grammar_new = llama_grammar_init_impl(ctx->grammar->vocab, ctx->grammar_str.c_str(), ctx->grammar_root.c_str()); + std::vector trigger_words; + for (auto & word : ctx->grammar->trigger_words) { + trigger_words.push_back(word.c_str()); + } + auto * grammar_new = llama_grammar_init_impl(ctx->grammar->vocab, ctx->grammar_str.c_str(), ctx->grammar_root.c_str(), + ctx->grammar->lazy, trigger_words.data(), trigger_words.size(), + ctx->grammar->trigger_tokens.data(), ctx->grammar->trigger_tokens.size()); llama_grammar_free_impl(ctx->grammar); ctx->grammar = grammar_new; @@ -1448,7 +1465,7 @@ static void llama_sampler_grammar_reset(struct llama_sampler * smpl) { static struct llama_sampler * llama_sampler_grammar_clone(const struct llama_sampler * smpl) { const auto * ctx = (const llama_sampler_grammar *) smpl->ctx; - auto * result = llama_sampler_init_grammar(ctx->vocab, nullptr, nullptr); + auto * result = llama_sampler_init_grammar_impl(ctx->vocab, nullptr, nullptr, false, nullptr, 0, nullptr, 0); // copy the state { @@ -1484,7 +1501,15 @@ static struct llama_sampler_i llama_sampler_grammar_i = { /* .free = */ llama_sampler_grammar_free, }; -struct llama_sampler * llama_sampler_init_grammar(const struct llama_vocab * vocab, const char * grammar_str, const char * grammar_root) { +static struct llama_sampler * llama_sampler_init_grammar_impl( + const struct llama_vocab * vocab, + const char * grammar_str, + const char * grammar_root, + bool lazy, + const char ** trigger_words, + size_t num_trigger_words, + const llama_token * trigger_tokens, + size_t num_trigger_tokens) { auto * ctx = new llama_sampler_grammar; if (grammar_str != nullptr && grammar_str[0] != '\0') { @@ -1492,7 +1517,7 @@ struct llama_sampler * llama_sampler_init_grammar(const struct llama_vocab * voc /* .vocab = */ vocab, /* .grammar_str = */ grammar_str, /* .grammar_root = */ grammar_root, - /* .grammar = */ llama_grammar_init_impl(vocab, grammar_str, grammar_root), + /* .grammar = */ llama_grammar_init_impl(vocab, grammar_str, grammar_root, lazy, trigger_words, num_trigger_words, trigger_tokens, num_trigger_tokens), }; } else { *ctx = { @@ -1509,6 +1534,24 @@ struct llama_sampler * llama_sampler_init_grammar(const struct llama_vocab * voc }; } +struct llama_sampler * llama_sampler_init_grammar( + const struct llama_vocab * vocab, + const char * grammar_str, + const char * grammar_root) { + return llama_sampler_init_grammar_impl(vocab, grammar_str, grammar_root, /* lazy= */ false, nullptr, 0, nullptr, 0); +} + +struct llama_sampler * llama_sampler_init_grammar_lazy( + const struct llama_vocab * vocab, + const char * grammar_str, + const char * grammar_root, + const char ** trigger_words, + size_t num_trigger_words, + const llama_token * trigger_tokens, + size_t num_trigger_tokens) { + return llama_sampler_init_grammar_impl(vocab, grammar_str, grammar_root, /* lazy= */ true, trigger_words, num_trigger_words, trigger_tokens, num_trigger_tokens); +} + // penalties struct llama_sampler_penalties { diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt index 3fa43c295..40f83ff0d 100644 --- a/tests/CMakeLists.txt +++ b/tests/CMakeLists.txt @@ -93,6 +93,7 @@ if (NOT WIN32) llama_target_and_test(test-grammar-parser.cpp) llama_target_and_test(test-grammar-integration.cpp) llama_target_and_test(test-llama-grammar.cpp) + llama_target_and_test(test-chat.cpp) # TODO: disabled on loongarch64 because the ggml-ci node lacks Python 3.8 if (NOT ${CMAKE_SYSTEM_PROCESSOR} MATCHES "loongarch64") llama_target_and_test(test-json-schema-to-grammar.cpp WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/..) diff --git a/tests/test-chat-template.cpp b/tests/test-chat-template.cpp index 190643136..4563f9dcb 100644 --- a/tests/test-chat-template.cpp +++ b/tests/test-chat-template.cpp @@ -328,7 +328,7 @@ int main(void) { // test llama_chat_format_single for system message printf("\n\n=== llama_chat_format_single (system message) ===\n\n"); std::vector chat2; - common_chat_msg sys_msg{"system", "You are a helpful assistant"}; + common_chat_msg sys_msg{"system", "You are a helpful assistant", {}}; auto fmt_sys = [&](std::string tmpl_str) { minja::chat_template tmpl(tmpl_str, "", ""); @@ -352,10 +352,10 @@ int main(void) { // test llama_chat_format_single for user message printf("\n\n=== llama_chat_format_single (user message) ===\n\n"); - chat2.push_back({"system", "You are a helpful assistant"}); - chat2.push_back({"user", "Hello"}); - chat2.push_back({"assistant", "I am assistant"}); - common_chat_msg new_msg{"user", "How are you"}; + chat2.push_back({"system", "You are a helpful assistant", {}}); + chat2.push_back({"user", "Hello", {}}); + chat2.push_back({"assistant", "I am assistant", {}}); + common_chat_msg new_msg{"user", "How are you", {}}; auto fmt_single = [&](std::string tmpl_str) { minja::chat_template tmpl(tmpl_str, "", ""); diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp new file mode 100644 index 000000000..ccc65d87a --- /dev/null +++ b/tests/test-chat.cpp @@ -0,0 +1,521 @@ +// Tests chat handling, including grammar generation and parsing for tool calling, for various templates. +// +// Also acts as a CLI to generate a Markdown summary of the formats of Jinja templates, +// e.g. given Minja (http://github.com/google/minja) checked out in parent dir: +// +// cmake -B build && cmake --build build --parallel && ./build/bin/test-chat ../minja/build/tests/*.jinja 2>/dev/null +// +#include +#include +#include +#include + +#include "chat-template.hpp" +#include "chat.hpp" +#include "llama-grammar.h" +#include "unicode.h" + +using json = nlohmann::ordered_json; + +static common_chat_msg msg_from_json(const json & message) { + common_chat_msg ret{ + "assistant", + "", + {}, + }; + if (message.contains("content") && !message.at("content").is_null()) { + ret.content = message.at("content").get(); + } + auto has_tool_calls = message.contains("tool_calls"); + if (has_tool_calls) { + for (const auto & tc : message.at("tool_calls")) { + const auto & arguments = tc.at("function").at("arguments"); + ret.tool_calls.push_back({ + tc.at("function").at("name").get(), + arguments.is_string() ? arguments.get() : arguments.dump(), + tc.contains("id") ? tc.at("id").get() : "", + }); + } + } + return ret; +} + +template static void assert_equals(const T & expected, const T & actual) { + if (expected != actual) { + std::cerr << "Expected: " << expected << std::endl; + std::cerr << "Actual: " << actual << std::endl; + std::cerr << std::flush; + throw std::runtime_error("Test failed"); + } +} + +static std::string read_file(const std::string & path) { + std::cerr << "# Reading: " << path << std::endl << std::flush; + std::ifstream fs(path, std::ios_base::binary); + if (!fs.is_open()) { + fs = std::ifstream("../" + path, std::ios_base::binary); + if (!fs.is_open()) { + throw std::runtime_error("Failed to open file: " + path); + } + } + fs.seekg(0, std::ios_base::end); + auto size = fs.tellg(); + fs.seekg(0); + std::string out; + out.resize(static_cast(size)); + fs.read(&out[0], static_cast(size)); + return out; +} + +static std::unique_ptr build_grammar(const std::string & grammar_str) { + return std::unique_ptr( + llama_grammar_init_impl(nullptr, grammar_str.c_str(), "root", false, nullptr, 0, nullptr, 0)); +} + +// TODO: extract to common helper (copied from test-grammar-integration.cpp) +static bool match_string(const std::string & input, llama_grammar * grammar) { + const auto cpts = unicode_cpts_from_utf8(input); + + auto & stacks_cur = llama_grammar_get_stacks(grammar); + + for (const auto & cpt : cpts) { + llama_grammar_accept(grammar, cpt); + + if (stacks_cur.empty()) { + // no stacks means that the grammar failed to match at this point + return false; + } + } + + for (const auto & stack : stacks_cur) { + if (stack.empty()) { + // An empty stack means that the grammar has been completed + return true; + } + } + + return false; +} + +// Dumps `{"a": 1}` as `"{\"a\": 1}"`, unlike nlohmann::json::dump which would dump it as `"{\"a\":1}"`. +static std::string dump(const json & j) { + return minja::Value(j).dump(-1, /* to_json= */ true); +} + +static void assert_msg_equals(const common_chat_msg & expected, const common_chat_msg & actual) { + assert_equals(expected.role, actual.role); + assert_equals(expected.content, actual.content); + assert_equals(expected.tool_calls.size(), actual.tool_calls.size()); + for (size_t i = 0; i < expected.tool_calls.size(); i++) { + const auto & expected_tool_call = expected.tool_calls[i]; + const auto & actual_tool_call = actual.tool_calls[i]; + assert_equals(expected_tool_call.name, actual_tool_call.name); + assert_equals(dump(json::parse(expected_tool_call.arguments)), dump(json::parse(actual_tool_call.arguments))); + assert_equals(expected_tool_call.id, actual_tool_call.id); + } +} + +const auto special_function_tool = json::parse(R"({ + "type": "function", + "function": { + "name": "special_function", + "description": "I'm special", + "parameters": { + "type": "object", + "properties": { + "arg1": { + "type": "integer", + "description": "The arg." + } + }, + "required": ["arg1"] + } + } +})"); +const auto python_tool = json::parse(R"({ + "type": "function", + "function": { + "name": "python", + "description": "an ipython interpreter", + "parameters": { + "type": "object", + "properties": { + "code": { + "type": "string", + "description": "Python code to execute." + } + }, + "required": ["code"] + } + } +})"); +const auto code_interpreter_tool = json::parse(R"({ + "type": "function", + "function": { + "name": "code_interpreter", + "description": "an ipython interpreter", + "parameters": { + "type": "object", + "properties": { + "code": { + "type": "string", + "description": "Python code to execute." + } + }, + "required": ["code"] + } + } +})"); +const json tools = { special_function_tool, python_tool }; +const json llama_3_1_tools = { special_function_tool, code_interpreter_tool }; + +struct delta_data { + std::string delta; + std::string grammar; + common_chat_format format; +}; + +static delta_data init_delta(const common_chat_template & tmpl, const std::vector & end_tokens, + const json & user_message, const json & delta_message, const json & tools, + const json & tool_choice) { + common_chat_inputs inputs; + inputs.parallel_tool_calls = true; + inputs.messages = json::array(); + inputs.messages.push_back(user_message); + inputs.tools = tools; + inputs.tool_choice = tool_choice; + auto params_prefix = common_chat_params_init(tmpl, inputs); + + inputs.messages.push_back(delta_message); + inputs.add_generation_prompt = false; + auto params_full = common_chat_params_init(tmpl, inputs); + + std::string prefix = params_prefix.prompt; + std::string full = params_full.prompt; + + // Check full starts with prefix + if (full.find(prefix) != 0) { + fprintf(stderr, "Full:\n%s\n\nPrefix:\n%s\n\n", full.c_str(), prefix.c_str()); + throw std::runtime_error("Full message does not start with prefix"); + } + + if (full == prefix) { + throw std::runtime_error("Full message is the same as the prefix"); + } + + auto delta = full.substr(prefix.size()); + + // Strip end tokens + for (const auto & end_token : end_tokens) { + // rfind to find the last occurrence + auto pos = delta.rfind(end_token); + if (pos != std::string::npos) { + delta = delta.substr(0, pos); + break; + } + } + return { delta, params_full.grammar, params_full.format }; +} + +/* + Applies the template to 1 user message w/ add_generation_prompt=true, then w/ the test message w/ add_generation_prompt=false, + gets the diff, removes any end tokens and parses the result w/ the grammar, checking that + the parsed message is the same as the test_message +*/ +static void test_template(const common_chat_template & tmpl, const std::vector & end_tokens, + const json & test_message, const json & tools = {}, const std::string & expected_delta = "", + bool skip_grammar_test = false, bool skip_parser_test = false) { + common_chat_msg expected_msg = msg_from_json(test_message); + + auto user_message = json{ + { "role", "user" }, + { "content", "Hello, world!" } + }; + + for (const auto & tool_choice : json({ "auto", "required" })) { + auto data = init_delta(tmpl, end_tokens, user_message, test_message, tools, tool_choice); + if (!expected_delta.empty()) { + assert_equals(expected_delta, data.delta); + } + + if (!skip_parser_test) { + const auto msg = common_chat_parse(data.delta, data.format); + assert_msg_equals(expected_msg, msg); + } + + if (!expected_msg.tool_calls.empty()) { + GGML_ASSERT(!data.grammar.empty()); + } + if (!data.grammar.empty()) { + auto grammar = build_grammar(data.grammar); + if (!grammar) { + throw std::runtime_error("Failed to build grammar"); + } + // TODO: exercice lazy grammars + triggers here, instead of skipping the test + if (!skip_grammar_test) { + if (!match_string(data.delta, grammar.get())) { + throw std::runtime_error("Failed to match delta against grammar:\n\n" + data.delta + + "\n\nGrammar: " + data.grammar); + } + } + } + } +} + +static void test_template_output_parsers() { + auto text_message = json{ + { "role", "assistant" }, + { "content", "Hello, world!" }, + }; + auto tool_call_message = json{ + { "role", "assistant" }, + { "content", {} }, + { "tool_calls", json{ { + { "type", "function" }, + { "function", { { "name", "special_function" }, { "arguments", "{\"arg1\": 1}" } } }, + } } } + }; + auto tool_call_message_with_id = json::parse(tool_call_message.dump()); + tool_call_message_with_id["tool_calls"][0]["id"] = "123456789"; + + auto python_tool_call_message = json{ + { "role", "assistant" }, + { "content", {} }, + { "tool_calls", json{ { + { "type", "function" }, + { "function", + { + { "name", "python" }, + { "arguments", + { + { "code", "print('hey')" }, + } }, + } }, + } } } + }; + auto code_interpreter_tool_call_message = json{ + { "role", "assistant" }, + { "content", {} }, + { "tool_calls", json{ { + { "type", "function" }, + { "function", + { + { "name", "code_interpreter" }, + { "arguments", + { + { "code", "print('hey')" }, + } }, + } }, + } } } + }; + + common_chat_inputs inputs_no_tools; + inputs_no_tools.messages = { + { { "role", "user" }, { "content", "Hey" } } + }; + + common_chat_inputs inputs_tools = inputs_no_tools; + inputs_tools.tools = json::array(); + inputs_tools.tools.push_back(special_function_tool); + + common_chat_inputs inputs_tools_builtin = inputs_no_tools; + inputs_tools_builtin.tools = json::array(); + inputs_tools_builtin.tools.push_back(python_tool); + + { + const common_chat_template tmpl(read_file("models/templates/google-gemma-2-2b-it.jinja"), "", ""); + std::vector end_tokens{ "" }; + + assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_params_init(tmpl, inputs_no_tools).format); + assert_equals(COMMON_CHAT_FORMAT_GENERIC, common_chat_params_init(tmpl, inputs_tools).format); + assert_equals(COMMON_CHAT_FORMAT_GENERIC, + common_chat_params_init( + common_chat_template(read_file("models/templates/microsoft-Phi-3.5-mini-instruct.jinja"), + "", ""), + inputs_tools) + .format); + + // Generic tool calls doesn't generate / parse content-only messages symmetrically. + + assert_msg_equals(msg_from_json(text_message), + common_chat_parse("{\n" + " \"response\": \"Hello, world!\"\n" + "}", + common_chat_params_init(tmpl, inputs_tools).format)); + test_template(tmpl, end_tokens, tool_call_message_with_id, tools, + "{\n" + " \"tool_calls\": [\n" + " {\n" + " \"name\": \"special_function\",\n" + " \"arguments\": {\n" + " \"arg1\": 1\n" + " },\n" + " \"id\": \"123456789\"\n" + " }\n" + " ]\n" + "}"); + } + { + const common_chat_template tmpl(read_file("models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja"), "", + ""); + std::vector end_tokens{ "" }; + + assert_equals(COMMON_CHAT_FORMAT_MISTRAL_NEMO, common_chat_params_init(tmpl, inputs_tools).format); + + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* skip_grammar_test= */ true); + test_template( + tmpl, end_tokens, tool_call_message_with_id, tools, + "[TOOL_CALLS][{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}, \"id\": \"123456789\"}]", + /* skip_grammar_test= */ true); + } + { + const common_chat_template tmpl( + read_file("models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja"), "", ""); + std::vector end_tokens{ "<|im_end|>" }; + + assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, common_chat_params_init(tmpl, inputs_tools).format); + assert_equals( + COMMON_CHAT_FORMAT_HERMES_2_PRO, + common_chat_params_init( + common_chat_template(read_file("models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja"), + "", ""), + inputs_tools) + .format); + assert_equals( + COMMON_CHAT_FORMAT_HERMES_2_PRO, + common_chat_params_init( + common_chat_template(read_file("models/templates/Qwen-Qwen2.5-7B-Instruct.jinja"), "", ""), + inputs_tools) + .format); + + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* skip_grammar_test= */ true); + test_template(tmpl, end_tokens, tool_call_message, tools, + "\n" + "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" + ""); + test_template(tmpl, end_tokens, python_tool_call_message, tools, + "\n" + "{\"name\": \"python\", \"arguments\": {\"code\": \"print('hey')\"}}\n" + ""); + } + { + const common_chat_template tmpl(read_file("models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja"), "", + ""); + std::vector end_tokens{ "<|eom_id|>", "<|eot_id|>" }; + + assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X, common_chat_params_init(tmpl, inputs_tools).format); + assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS, + common_chat_params_init(tmpl, inputs_tools_builtin).format); + assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS, + common_chat_params_init( + common_chat_template(read_file("models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja"), + "", ""), + inputs_tools_builtin) + .format); + + // test_template(tmpl, end_tokens, text_message, tools, R"(?)", /* skip_grammar_test= */ true); + test_template(tmpl, end_tokens, code_interpreter_tool_call_message, llama_3_1_tools, + "<|python_tag|>code_interpreter.call(code=\"print('hey')\")"); + test_template(tmpl, end_tokens, python_tool_call_message, tools, + "<|python_tag|>python.call(code=\"print('hey')\")"); + test_template(tmpl, end_tokens, tool_call_message, tools, + "{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}"); + } + { + const common_chat_template tmpl(read_file("models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja"), "", + ""); + std::vector end_tokens{ "<|eom_id|>", "<|eot_id|>" }; + + assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X, common_chat_params_init(tmpl, inputs_tools).format); + + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* skip_grammar_test= */ true); + test_template(tmpl, end_tokens, tool_call_message, tools, + "{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}"); + } + { + const common_chat_template tmpl(read_file("models/templates/meetkai-functionary-medium-v3.1.jinja"), "", + ""); + std::vector end_tokens{ "<|eom_id|>", "<|eot_id|>" }; + + assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1, + common_chat_params_init(tmpl, inputs_tools).format); + + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* skip_grammar_test= */ true); + test_template(tmpl, end_tokens, tool_call_message, tools, + "{\"arg1\": 1}"); + } + { + const common_chat_template tmpl(read_file("models/templates/meetkai-functionary-medium-v3.2.jinja"), "", + ""); + std::vector end_tokens{ "<|eom_id|>", "<|eot_id|>" }; + + assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2, common_chat_params_init(tmpl, inputs_no_tools).format); + assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2, common_chat_params_init(tmpl, inputs_tools).format); + + test_template(tmpl, end_tokens, text_message, {}, + "all\n" + "Hello, world!", + /* skip_grammar_test= */ true); + test_template(tmpl, end_tokens, tool_call_message, tools, + "special_function\n" + "{\"arg1\": 1}"); + } + { + const common_chat_template tmpl(read_file("models/templates/fireworks-ai-llama-3-firefunction-v2.jinja"), "", + ""); + std::vector end_tokens{ "<|eot_id|>" }; + + assert_equals(COMMON_CHAT_FORMAT_FIREFUNCTION_V2, common_chat_params_init(tmpl, inputs_tools).format); + + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* skip_grammar_test= */ true); + test_template(tmpl, end_tokens, tool_call_message, tools, + " functools[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]"); + } + { + const common_chat_template tmpl(read_file("models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja"), + "", ""); + std::vector end_tokens{ "<｜end▁of▁sentence｜>" }; + + assert_equals(COMMON_CHAT_FORMAT_DEEPSEEK_R1, common_chat_params_init(tmpl, inputs_tools).format); + + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* skip_grammar_test= */ true); + test_template(tmpl, end_tokens, tool_call_message, tools, + "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n" + "```json\n" + "{\"arg1\": 1}\n" + "```<｜tool▁call▁end｜>"); + } +} + +int main(int argc, char ** argv) { +#ifndef _WIN32 + if (argc > 1) { + common_chat_inputs inputs; + inputs.messages = { + { { "role", "user" }, { "content", "Hey" } } + }; + inputs.tools = json::array({ special_function_tool }); + + std::cout << "| Template | Format |\n"; + std::cout << "|----------|--------|\n"; + + for (int i = 1; i < argc; i++) { + std::string path = argv[i]; + if (path.rfind(".jinja") != path.size() - 6) { + std::cerr << "Skipping non-jinja file: " << path << std::endl; + continue; + } + common_chat_template tmpl(read_file(path), "", ""); + auto parts = string_split(path, "/"); + auto name = parts[parts.size() - 1]; + std::cout << "| " << name << " | " << common_chat_format_name(common_chat_params_init(tmpl, inputs).format) + << " |\n"; + } + } else +#endif + { + test_template_output_parsers(); + std::cout << "\n[chat] All tests passed!" << std::endl; + } + return 0; +} diff --git a/tests/test-grammar-integration.cpp b/tests/test-grammar-integration.cpp index e1bdbb925..288e08f51 100644 --- a/tests/test-grammar-integration.cpp +++ b/tests/test-grammar-integration.cpp @@ -13,7 +13,7 @@ using json = nlohmann::ordered_json; static llama_grammar * build_grammar(const std::string & grammar_str) { - return llama_grammar_init_impl(nullptr, grammar_str.c_str(), "root"); + return llama_grammar_init_impl(nullptr, grammar_str.c_str(), "root", false, nullptr, 0, nullptr, 0); } static bool test_build_grammar_fails(const std::string & grammar_str) { From 553f1e46e9e864514bbd6bf4009146db66be0541 Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Thu, 30 Jan 2025 22:01:06 +0000 Subject: [PATCH 081/162] `ci`: ccache for all github worfklows (#11516) --- .github/workflows/build.yml | 136 ++++++++++++++++++++++++++++++++++-- 1 file changed, 130 insertions(+), 6 deletions(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 7eaf9c460..c02dd6a81 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -43,6 +43,12 @@ jobs: with: fetch-depth: 0 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: macOS-latest-cmake-arm64 + evict-old-files: 1d + - name: Dependencies id: depends continue-on-error: true @@ -108,6 +114,12 @@ jobs: with: fetch-depth: 0 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: macOS-latest-cmake-x64 + evict-old-files: 1d + - name: Dependencies id: depends continue-on-error: true @@ -172,6 +184,12 @@ jobs: with: fetch-depth: 0 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: ubuntu-cpu-cmake + evict-old-files: 1d + - name: Dependencies id: depends run: | @@ -249,6 +267,12 @@ jobs: id: checkout uses: actions/checkout@v4 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: ubuntu-latest-cmake-sanitizer-${{ matrix.sanitizer }} + evict-old-files: 1d + - name: Dependencies id: depends run: | @@ -296,6 +320,12 @@ jobs: id: checkout uses: actions/checkout@v4 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: ubuntu-latest-cmake-rpc + evict-old-files: 1d + - name: Dependencies id: depends run: | @@ -325,6 +355,12 @@ jobs: id: checkout uses: actions/checkout@v4 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: ubuntu-22-cmake-vulkan + evict-old-files: 1d + - name: Dependencies id: depends run: | @@ -364,6 +400,12 @@ jobs: sudo apt-get update sudo apt-get install -y build-essential git cmake rocblas-dev hipblas-dev + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: ubuntu-22-cmake-hip + evict-old-files: 1d + - name: Build with native CMake HIP support id: cmake_build run: | @@ -396,6 +438,12 @@ jobs: apt-get update apt-get install -y build-essential git cmake libcurl4-openssl-dev + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: ubuntu-22-cmake-musa + evict-old-files: 1d + - name: Build with native CMake MUSA support id: cmake_build run: | @@ -435,6 +483,12 @@ jobs: id: checkout uses: actions/checkout@v4 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: ubuntu-22-cmake-sycl + evict-old-files: 1d + - name: Build id: cmake_build run: | @@ -479,6 +533,12 @@ jobs: id: checkout uses: actions/checkout@v4 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: ubuntu-22-cmake-sycl-fp16 + evict-old-files: 1d + - name: Build id: cmake_build run: | @@ -500,6 +560,12 @@ jobs: id: checkout uses: actions/checkout@v4 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: macOS-latest-cmake-ios + evict-old-files: 1d + - name: Dependencies id: depends continue-on-error: true @@ -531,6 +597,12 @@ jobs: id: checkout uses: actions/checkout@v4 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: macOS-latest-cmake-tvos + evict-old-files: 1d + - name: Dependencies id: depends continue-on-error: true @@ -566,6 +638,12 @@ jobs: id: checkout uses: actions/checkout@v4 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: macOS-latest-swift + evict-old-files: 1d + - name: Dependencies id: depends continue-on-error: true @@ -607,6 +685,12 @@ jobs: - name: Clone uses: actions/checkout@v4 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: windows-msys2 + evict-old-files: 1d + - name: Setup ${{ matrix.sys }} uses: msys2/setup-msys2@v2 with: @@ -675,6 +759,12 @@ jobs: with: fetch-depth: 0 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: windows-latest-cmake-${{ matrix.build }} + evict-old-files: 1d + - name: Clone Kompute submodule id: clone_kompute if: ${{ matrix.build == 'kompute-x64' }} @@ -813,6 +903,8 @@ jobs: - name: Clone id: checkout uses: actions/checkout@v4 + with: + fetch-depth: 0 - name: Install dependencies env: @@ -821,6 +913,12 @@ jobs: apt update apt install -y cmake build-essential ninja-build libgomp1 git + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: ubuntu-latest-cmake-cuda + evict-old-files: 1d + - name: Build with CMake run: | cmake -S . -B build -G Ninja \ @@ -847,6 +945,12 @@ jobs: with: fetch-depth: 0 + - name: Install ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: ${{ github.job }}-${{ matrix.cuda }}-${{ matrix.build }} + evict-old-files: 1d + - name: Install Cuda Toolkit 11.7 if: ${{ matrix.cuda == '11.7' }} run: | @@ -903,11 +1007,6 @@ jobs: echo "CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8 echo "CUDA_PATH_V12_4=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8 - - name: Install ccache - uses: hendrikmuhs/ccache-action@v1.2 - with: - key: ${{ github.job }}-${{ matrix.cuda }}-${{ matrix.build }} - - name: Install Ninja id: install_ninja run: | @@ -987,6 +1086,12 @@ jobs: with: fetch-depth: 0 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: windows-latest-cmake-sycl + evict-old-files: 1d + - name: Install run: | scripts/install-oneapi.bat $WINDOWS_BASEKIT_URL $WINDOWS_DPCPP_MKL @@ -1066,9 +1171,10 @@ jobs: & 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' --version - name: Install ccache - uses: hendrikmuhs/ccache-action@v1.2 + uses: hendrikmuhs/ccache-action@v1.2.16 with: key: ${{ github.job }} + evict-old-files: 1d - name: Build id: cmake_build @@ -1098,6 +1204,12 @@ jobs: with: fetch-depth: 0 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: windows-latest-cmake-hip-release + evict-old-files: 1d + - name: Install id: depends run: | @@ -1195,6 +1307,12 @@ jobs: - name: Clone uses: actions/checkout@v4 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: android-build + evict-old-files: 1d + - name: Set up JDK uses: actions/setup-java@v3 with: @@ -1232,6 +1350,12 @@ jobs: with: fetch-depth: 0 + - name: ccache + uses: hendrikmuhs/ccache-action@v1.2.16 + with: + key: release + evict-old-files: 1d + - name: Determine tag name id: tag shell: bash From a2df2787b32e0846205f7151dfad88ceab592beb Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Fri, 31 Jan 2025 06:04:53 +0100 Subject: [PATCH 082/162] server : update help metrics processing/deferred (#11512) This commit updates the help text for the metrics `requests_processing` and `requests_deferred` to be more grammatically correct. Currently the returned metrics look like this: ```console \# HELP llamacpp:requests_processing Number of request processing. \# TYPE llamacpp:requests_processing gauge llamacpp:requests_processing 0 \# HELP llamacpp:requests_deferred Number of request deferred. \# TYPE llamacpp:requests_deferred gauge llamacpp:requests_deferred 0 ``` With this commit, the metrics will look like this: ```console \# HELP llamacpp:requests_processing Number of requests processing. \# TYPE llamacpp:requests_processing gauge llamacpp:requests_processing 0 \# HELP llamacpp:requests_deferred Number of requests deferred. \# TYPE llamacpp:requests_deferred gauge llamacpp:requests_deferred 0 ``` This is also consistent with the description of the metrics in the server examples [README.md](https://github.com/ggerganov/llama.cpp/tree/master/examples/server#get-metrics-prometheus-compatible-metrics-exporter). --- examples/server/server.cpp | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/server/server.cpp b/examples/server/server.cpp index d1ea343dd..1ebcb5085 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -3633,11 +3633,11 @@ int main(int argc, char ** argv) { {"value", (uint64_t) res_metrics->kv_cache_tokens_count} },{ {"name", "requests_processing"}, - {"help", "Number of request processing."}, + {"help", "Number of requests processing."}, {"value", (uint64_t) res_metrics->n_processing_slots} },{ {"name", "requests_deferred"}, - {"help", "Number of request deferred."}, + {"help", "Number of requests deferred."}, {"value", (uint64_t) res_metrics->n_tasks_deferred} }}} }; From 1bd3047a939e561adfb3c7dd2e17c4cc7a4e4e6f Mon Sep 17 00:00:00 2001 From: Steve Grubb Date: Fri, 31 Jan 2025 00:58:55 -0500 Subject: [PATCH 083/162] common: Add missing va_end (#11529) The va_copy man page states that va_end must be called to revert whatever the copy did. For some implementaions, not calling va_end has no consequences. For others it could leak memory. --- common/log.cpp | 1 + 1 file changed, 1 insertion(+) diff --git a/common/log.cpp b/common/log.cpp index 04c7c0ed1..0b8994ae1 100644 --- a/common/log.cpp +++ b/common/log.cpp @@ -206,6 +206,7 @@ public: vsnprintf(entry.msg.data(), entry.msg.size(), ss.str().c_str(), args_copy); } #endif + va_end(args_copy); } entry.level = level; From 4a2b196d03d52da31236390e9f5694a88d43d11d Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Fri, 31 Jan 2025 08:12:40 +0000 Subject: [PATCH 084/162] server : fix --jinja when there's no tools or schema (typo was forcing JSON) (#11531) --- examples/server/tests/unit/test_chat_completion.py | 7 +++---- examples/server/utils.hpp | 2 +- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/examples/server/tests/unit/test_chat_completion.py b/examples/server/tests/unit/test_chat_completion.py index 0be04bab5..f5d8b0572 100644 --- a/examples/server/tests/unit/test_chat_completion.py +++ b/examples/server/tests/unit/test_chat_completion.py @@ -14,11 +14,10 @@ def create_server(): "model,system_prompt,user_prompt,max_tokens,re_content,n_prompt,n_predicted,finish_reason,jinja,chat_template", [ (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", False, None), + (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", True, None), + (None, "Book", "What is the best book", 8, "^ blue", 23, 8, "length", True, "This is not a chat template, it is"), ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", False, None), - # TODO: fix testing of non-tool jinja mode - # (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", True, None), - # (None, "Book", "What is the best book", 8, "I want to play with", 23, 8, "length", True, "This is not a chat template, it is"), - # ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", True, None), + ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", True, None), ] ) def test_chat_completion(model, system_prompt, user_prompt, max_tokens, re_content, n_prompt, n_predicted, finish_reason, jinja, chat_template): diff --git a/examples/server/utils.hpp b/examples/server/utils.hpp index 3d2c04666..70bd6a42c 100644 --- a/examples/server/utils.hpp +++ b/examples/server/utils.hpp @@ -642,7 +642,7 @@ static json oaicompat_completion_params_parse( inputs.parallel_tool_calls = json_value(body, "parallel_tool_calls", false); inputs.stream = stream; // TODO: support mixing schema w/ tools beyond generic format. - inputs.json_schema = json_value(llama_params, "json_schema", json::object()); + inputs.json_schema = json_value(llama_params, "json_schema", json()); auto chat_params = common_chat_params_init(tmpl, inputs); llama_params["chat_format"] = static_cast(chat_params.format); From 5783575c9d99c4d9370495800663aa5397ceb0be Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Fri, 31 Jan 2025 08:24:29 +0000 Subject: [PATCH 085/162] Fix chatml fallback for unsupported builtin templates (when --jinja not enabled) (#11533) --- examples/server/server.cpp | 15 ++++++--------- 1 file changed, 6 insertions(+), 9 deletions(-) diff --git a/examples/server/server.cpp b/examples/server/server.cpp index 1ebcb5085..e7daceef1 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -1858,7 +1858,12 @@ struct server_context { llama_init_dft.context.reset(); } - chat_templates = common_chat_templates_from_model(model, params_base.chat_template); + if (params_base.chat_template.empty() && !validate_builtin_chat_template(params.use_jinja)) { + LOG_WRN("%s: The chat template that comes with this model is not yet supported, falling back to chatml. This may cause the model to output suboptimal responses\n", __func__); + chat_templates = common_chat_templates_from_model(model, "chatml"); + } else { + chat_templates = common_chat_templates_from_model(model, params_base.chat_template); + } GGML_ASSERT(chat_templates.template_default.get() != nullptr); return true; @@ -4435,14 +4440,6 @@ int main(int argc, char ** argv) { LOG_INF("%s: model loaded\n", __func__); - // if a custom chat template is not supplied, we will use the one that comes with the model (if any) - if (params.chat_template.empty()) { - if (!ctx_server.validate_builtin_chat_template(params.use_jinja)) { - LOG_WRN("%s: The chat template that comes with this model is not yet supported, falling back to chatml. This may cause the model to output suboptimal responses\n", __func__); - params.chat_template = "chatml"; - } - } - // print sample chat example to make it clear which template is used LOG_INF("%s: chat template, chat_template: %s, example_format: '%s'\n", __func__, ctx_server.chat_templates.template_default->source().c_str(), From b1bcd309fc8ac929cbd4a6207b3a19886bda031f Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Fri, 31 Jan 2025 13:48:31 +0000 Subject: [PATCH 086/162] fix stop regression (#11543) --- examples/server/utils.hpp | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/examples/server/utils.hpp b/examples/server/utils.hpp index 70bd6a42c..94e189457 100644 --- a/examples/server/utils.hpp +++ b/examples/server/utils.hpp @@ -484,13 +484,14 @@ static bool ends_with(const std::string & str, const std::string & suffix) { static size_t find_partial_stop_string(const std::string &stop, const std::string &text) { if (!text.empty() && !stop.empty()) { - auto it = std::find(stop.rbegin(), stop.rend(), text.back()); - while (it != stop.rend()) { - size_t length = std::distance(it, stop.rend()); - if (text.length() >= length && 0 == text.compare(text.length() - length, length, stop)) { - return text.length() - length; + const char text_last_char = text.back(); + for (int64_t char_index = stop.size() - 1; char_index >= 0; char_index--) { + if (stop[char_index] == text_last_char) { + const std::string current_partial = stop.substr(0, char_index + 1); + if (ends_with(text, current_partial)) { + return text.size() - char_index - 1; + } } - it = std::find(std::next(it), stop.rend(), text.back()); } } From a83f528688324a21484a97af1d1be5e1bc8d4c8e Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Fri, 31 Jan 2025 14:15:25 +0000 Subject: [PATCH 087/162] `tool-call`: fix llama 3.x and functionary 3.2, play nice w/ pydantic_ai package, update readme (#11539) * An empty tool_call_id is better than none! * sync: minja (tool call name optional https://github.com/google/minja/pull/36) * Force-disable parallel_tool_calls if template doesn't support it * More debug logs * Llama 3.x tools: accept / trigger on more varied spaced outputs * Fix empty content for functionary v3.2 tool call * Add proper tool call docs to server README * readme: function calling *is* supported now * Apply suggestions from code review Co-authored-by: Georgi Gerganov --------- Co-authored-by: Georgi Gerganov --- common/chat-template.hpp | 4 +- common/chat.cpp | 21 +++++-- examples/server/README.md | 110 ++++++++++++++++++++++++++++++++++--- examples/server/server.cpp | 5 +- examples/server/utils.hpp | 4 ++ 5 files changed, 129 insertions(+), 15 deletions(-) diff --git a/common/chat-template.hpp b/common/chat-template.hpp index 75ba5d938..58e119a3b 100644 --- a/common/chat-template.hpp +++ b/common/chat-template.hpp @@ -283,10 +283,12 @@ class chat_template { message["role"] = "user"; auto obj = json { {"tool_response", { - {"tool", message.at("name")}, {"content", message.at("content")}, }}, }; + if (message.contains("name")) { + obj["tool_response"]["name"] = message.at("name"); + } if (message.contains("tool_call_id")) { obj["tool_response"]["tool_call_id"] = message.at("tool_call_id"); } diff --git a/common/chat.cpp b/common/chat.cpp index d9a654892..58db12af9 100644 --- a/common/chat.cpp +++ b/common/chat.cpp @@ -384,14 +384,19 @@ static common_chat_params common_chat_params_init_llama_3_1_tool_calls(const com tool_rules.push_back( builder.add_rule( name + "-call", - "\"{\" ( \"\\\"type\\\": \\\"function\\\", \" | space ) " + "\"{\" space " + "( \"\\\"type\\\":\" space \"\\\"function\\\",\" space )? " "\"\\\"name\\\": \\\"" + name + "\\\", \\\"parameters\\\": \" " + builder.add_schema(name + "-args", parameters) + " \"}\"")); data.grammar_triggers.push_back({"{\"name\": \"" + name + "\"", /* .at_start = */ true}); }); data.grammar_triggers.push_back({"{\"name\":", /* .at_start = */ true}); + data.grammar_triggers.push_back({"{\n \"name\":", /* .at_start = */ true}); + data.grammar_triggers.push_back({"{\n \"name\":", /* .at_start = */ true}); data.grammar_triggers.push_back({"{\"type\": \"function\"", /* .at_start = */ true}); + data.grammar_triggers.push_back({"{\n \"type\": \"function\"", /* .at_start = */ true}); + data.grammar_triggers.push_back({"{\n \"type\": \"function\"", /* .at_start = */ true}); if (!builtin_tools.empty()) { data.grammar_triggers.push_back({"<|python_tag|>", /* .at_start = */ false}); } @@ -586,9 +591,17 @@ static common_chat_msg common_chat_parse_functionary_v3_2(const std::string & in } } // TODO: tighten & simplify. - auto res = parse_json_tool_calls(std::string(it, end), std::nullopt, function_regex, close_regex); - res.content = content; - return res; + try { + auto res = parse_json_tool_calls(std::string(it, end), std::nullopt, function_regex, close_regex); + res.content = content + res.content; + return res; + } catch (const std::exception & e) { + LOG_ERR("Failed to parse functionary v3.2 input: %s\n", e.what()); + common_chat_msg res; + res.role = "assistant"; + res.content = input; + return res; + } } static common_chat_params common_chat_params_init_functionary_v3_1_llama_3_1(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { diff --git a/examples/server/README.md b/examples/server/README.md index ce1ae8858..276b43013 100644 --- a/examples/server/README.md +++ b/examples/server/README.md @@ -126,7 +126,7 @@ The project is under active development, and we are [looking for feedback and co | `--grammar GRAMMAR` | BNF-like grammar to constrain generations (see samples in grammars/ dir) (default: '') | | `--grammar-file FNAME` | file to read grammar from | | `-j, --json-schema SCHEMA` | JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object
For schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead | -| `--jinja` | Enable experimental Jinja templating engine (needed for tool use) | +| `--jinja` | Enable experimental Jinja templating engine (required for tool use) | **Example-specific params** @@ -1069,7 +1069,7 @@ Given a ChatML-formatted json description in `messages`, it returns the predicte *Options:* -See [OpenAI Chat Completions API documentation](https://platform.openai.com/docs/api-reference/chat). While some OpenAI-specific features such as function calling aren't supported, llama.cpp `/completion`-specific features such as `mirostat` are supported. +See [OpenAI Chat Completions API documentation](https://platform.openai.com/docs/api-reference/chat). llama.cpp `/completion`-specific features such as `mirostat` are also supported. The `response_format` parameter supports both plain JSON output (e.g. `{"type": "json_object"}`) and schema-constrained JSON (e.g. `{"type": "json_object", "schema": {"type": "string", "minLength": 10, "maxLength": 100}}` or `{"type": "json_schema", "schema": {"properties": { "name": { "title": "Name", "type": "string" }, "date": { "title": "Date", "type": "string" }, "participants": { "items": {"type: "string" }, "title": "Participants", "type": "string" } } } }`), similar to other OpenAI-inspired API providers. @@ -1117,17 +1117,111 @@ curl http://localhost:8080/v1/chat/completions \ }' ``` -... and even tool usage (needs `--jinja` flag): +*Tool call support* + +[Function calling](https://platform.openai.com/docs/guides/function-calling) is supported for all models (see https://github.com/ggerganov/llama.cpp/pull/9639): + +- Requires `--jinja` flag +- Native tool call formats supported: + - Llama 3.1 / 3.3 (including builtin tools support - tool names for `wolfram_alpha`, `web_search` / `brave_search`, `code_interpreter`), Llama 3.2 + - Functionary v3.1 / v3.2 + - Hermes 2/3, Qwen 2.5 + - Mistral Nemo + - Firefunction v2 + - DeepSeek R1 (WIP / seems reluctant to call any tools?) + +
+ Show some common templates and which format handler they use + + | Template | Format | + |----------|--------| + | CohereForAI-c4ai-command-r-plus-default.jinja | generic tool calls | + | CohereForAI-c4ai-command-r-plus-rag.jinja | generic tool calls | + | CohereForAI-c4ai-command-r-plus-tool_use.jinja | generic tool calls | + | MiniMaxAI-MiniMax-Text-01.jinja | generic tool calls | + | NexaAIDev-Octopus-v2.jinja | generic tool calls | + | NousResearch-Hermes-2-Pro-Llama-3-8B-default.jinja | generic tool calls | + | NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja | hermes 2 pro tool calls | + | NousResearch-Hermes-2-Pro-Mistral-7B-default.jinja | generic tool calls | + | NousResearch-Hermes-2-Pro-Mistral-7B-tool_use.jinja | hermes 2 pro tool calls | + | NousResearch-Hermes-3-Llama-3.1-70B-default.jinja | generic tool calls | + | NousResearch-Hermes-3-Llama-3.1-70B-tool_use.jinja | hermes 2 pro tool calls | + | OrionStarAI-Orion-14B-Chat.jinja | generic tool calls | + | Qwen-QwQ-32B-Preview.jinja | hermes 2 pro tool calls | + | Qwen-Qwen2-7B-Instruct.jinja | generic tool calls | + | Qwen-Qwen2-VL-7B-Instruct.jinja | generic tool calls | + | Qwen-Qwen2.5-7B-Instruct.jinja | hermes 2 pro tool calls | + | Qwen-Qwen2.5-Math-7B-Instruct.jinja | hermes 2 pro tool calls | + | TheBloke-FusionNet_34Bx2_MoE-AWQ.jinja | generic tool calls | + | abacusai-Fewshot-Metamath-OrcaVicuna-Mistral.jinja | generic tool calls | + | bofenghuang-vigogne-2-70b-chat.jinja | generic tool calls | + | databricks-dbrx-instruct.jinja | generic tool calls | + | deepseek-ai-DeepSeek-Coder-V2-Instruct.jinja | generic tool calls | + | deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja | deepseek r1 tool calls | + | deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja | deepseek r1 tool calls | + | deepseek-ai-DeepSeek-R1-Distill-Qwen-7B.jinja | deepseek r1 tool calls | + | deepseek-ai-DeepSeek-V2.5.jinja | deepseek r1 tool calls | + | deepseek-ai-deepseek-coder-33b-instruct.jinja | generic tool calls | + | google-gemma-2-2b-it.jinja | generic tool calls | + | google-gemma-7b-it.jinja | generic tool calls | + | indischepartij-MiniCPM-3B-OpenHermes-2.5-v2.jinja | generic tool calls | + | mattshumer-Reflection-Llama-3.1-70B.jinja | generic tool calls | + | meetkai-functionary-medium-v3.2.jinja | functionary v3.2 tool calls | + | meta-llama-Llama-3.1-8B-Instruct.jinja | llama 3.x tool calls (w/ builtin tools) | + | meta-llama-Llama-3.2-3B-Instruct.jinja | llama 3.x tool calls | + | meta-llama-Llama-3.3-70B-Instruct.jinja | llama 3.x tool calls (w/ builtin tools) | + | meta-llama-Meta-Llama-3.1-8B-Instruct.jinja | llama 3.x tool calls (w/ builtin tools) | + | microsoft-Phi-3-medium-4k-instruct.jinja | generic tool calls | + | microsoft-Phi-3-mini-4k-instruct.jinja | generic tool calls | + | microsoft-Phi-3-small-8k-instruct.jinja | generic tool calls | + | microsoft-Phi-3.5-mini-instruct.jinja | generic tool calls | + | microsoft-Phi-3.5-vision-instruct.jinja | generic tool calls | + | mistralai-Mistral-7B-Instruct-v0.2.jinja | generic tool calls | + | mistralai-Mistral-Large-Instruct-2407.jinja | mistral nemo tool calls | + | mistralai-Mistral-Large-Instruct-2411.jinja | generic tool calls | + | mistralai-Mistral-Nemo-Instruct-2407.jinja | mistral nemo tool calls | + | mistralai-Mixtral-8x7B-Instruct-v0.1.jinja | generic tool calls | + | mlabonne-AlphaMonarch-7B.jinja | generic tool calls | + | nvidia-Llama-3.1-Nemotron-70B-Instruct-HF.jinja | llama 3.x tool calls (w/ builtin tools) | + | openchat-openchat-3.5-0106.jinja | generic tool calls | + | teknium-OpenHermes-2.5-Mistral-7B.jinja | generic tool calls | + + This table can be generated with: + + ```bash + ./build/bin/test-chat ../minja/build/tests/*.jinja 2>/dev/null + +
+ +- Generic tool call is supported when the template isn't recognized by native format handlers (you'll see `Chat format: Generic` in the logs). + - Use `--chat-template-file` to override the template when appropriate (see examples below) + - Generic support may consume more tokens and be less efficient than a model's native format. + +- Run with: ```shell - llama-server --jinja -hfr lmstudio-community/Meta-Llama-3.1-8B-Instruct-GGUF -hff Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf -fa + # Native support: + llama-server --jinja -fa -hf bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M + llama-server --jinja -fa -hf bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M + llama-server --jinja -fa -hf bartowski/Llama-3.2-3B-Instruct-GGUF:Q6_K + llama-server --jinja -fa -hf bartowski/functionary-small-v3.2-GGUF:Q4_K_M + llama-server --jinja -fa -hf bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M \ + --chat-template-file <( python scripts/get_chat_template.py NousResearch/Hermes-2-Pro-Llama-3-8B ) - # https://huggingface.co/meetkai/functionary-medium-v3.2 - llama-server --jinja -hfr bartowski/functionary-medium-v3.2-GGUF -hff functionary-medium-v3.2-IQ4_XS.gguf -fa + # Native support requires the right template for these GGUFs: + llama-server --jinja -fa -hf bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M \ + --chat-template-file <( python scripts/get_chat_template.py NousResearch/Hermes-3-Llama-3.1-8B tool_use ) + llama-server --jinja -fa -hf bartowski/firefunction-v2-GGUF -hff firefunction-v2-IQ1_M.gguf \ + --chat-template-file <( python scripts/get_chat_template.py fireworks-ai/firellama-3-firefunction-v2 ) - # https://huggingface.co/meetkai/functionary-medium-v3.1 - llama-server --jinja -hfr meetkai/functionary-medium-v3.1-GGUF -hff functionary-medium-llama-3.1.Q4_0.gguf -fa + # Generic format support + llama-server --jinja -fa -hf bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M + llama-server --jinja -fa -hf bartowski/gemma-2-2b-it-GGUF:Q4_K_M + ``` +- Test in CLI: + + ```bash curl http://localhost:8080/v1/chat/completions -d '{ "model": "gpt-3.5-turbo", "tools": [ diff --git a/examples/server/server.cpp b/examples/server/server.cpp index e7daceef1..3451e96a2 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -345,7 +345,7 @@ struct server_task { auto it = data.find("chat_format"); if (it != data.end()) { params.oaicompat_chat_format = static_cast(it->get()); - LOG_DBG("Chat format: %s\n", common_chat_format_name(params.oaicompat_chat_format).c_str()); + LOG_INF("Chat format: %s\n", common_chat_format_name(params.oaicompat_chat_format).c_str()); } else { params.oaicompat_chat_format = defaults.oaicompat_chat_format; } @@ -697,6 +697,7 @@ struct server_task_result_cmpl_final : server_task_result { std::string finish_reason = "length"; common_chat_msg message; if (stop == STOP_TYPE_WORD || stop == STOP_TYPE_EOS) { + LOG_DBG("Parsing chat message: %s\n", content.c_str()); message = common_chat_parse(content, oaicompat_chat_format); finish_reason = message.tool_calls.empty() ? "stop" : "tool_calls"; } else { @@ -713,7 +714,7 @@ struct server_task_result_cmpl_final : server_task_result { {"name", tc.name}, {"arguments", tc.arguments}, }}, - {"id", tc.id.empty() ? json() : json(tc.id)}, + {"id", tc.id}, }); } } diff --git a/examples/server/utils.hpp b/examples/server/utils.hpp index 94e189457..bfe623c4c 100644 --- a/examples/server/utils.hpp +++ b/examples/server/utils.hpp @@ -641,6 +641,10 @@ static json oaicompat_completion_params_parse( inputs.tools = tools; inputs.tool_choice = tool_choice; inputs.parallel_tool_calls = json_value(body, "parallel_tool_calls", false); + if (inputs.parallel_tool_calls && !tmpl.original_caps().supports_parallel_tool_calls) { + LOG_DBG("Disabling parallel_tool_calls because the template does not support it\n"); + inputs.parallel_tool_calls = false; + } inputs.stream = stream; // TODO: support mixing schema w/ tools beyond generic format. inputs.json_schema = json_value(llama_params, "json_schema", json()); From aa6fb1321333fae8853d0cdc26bcb5d438e650a1 Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Fri, 31 Jan 2025 17:12:40 +0000 Subject: [PATCH 088/162] `ci`: use sccache on windows instead of ccache (#11545) * Use sccache on ci for windows * Detect sccache in cmake --- .github/workflows/build.yml | 6 ++++++ ggml/src/CMakeLists.txt | 12 +++++++++--- 2 files changed, 15 insertions(+), 3 deletions(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index c02dd6a81..022b9bd03 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -689,6 +689,7 @@ jobs: uses: hendrikmuhs/ccache-action@v1.2.16 with: key: windows-msys2 + variant: sccache evict-old-files: 1d - name: Setup ${{ matrix.sys }} @@ -763,6 +764,7 @@ jobs: uses: hendrikmuhs/ccache-action@v1.2.16 with: key: windows-latest-cmake-${{ matrix.build }} + variant: sccache evict-old-files: 1d - name: Clone Kompute submodule @@ -949,6 +951,7 @@ jobs: uses: hendrikmuhs/ccache-action@v1.2.16 with: key: ${{ github.job }}-${{ matrix.cuda }}-${{ matrix.build }} + variant: sccache evict-old-files: 1d - name: Install Cuda Toolkit 11.7 @@ -1090,6 +1093,7 @@ jobs: uses: hendrikmuhs/ccache-action@v1.2.16 with: key: windows-latest-cmake-sycl + variant: sccache evict-old-files: 1d - name: Install @@ -1174,6 +1178,7 @@ jobs: uses: hendrikmuhs/ccache-action@v1.2.16 with: key: ${{ github.job }} + variant: sccache evict-old-files: 1d - name: Build @@ -1208,6 +1213,7 @@ jobs: uses: hendrikmuhs/ccache-action@v1.2.16 with: key: windows-latest-cmake-hip-release + variant: sccache evict-old-files: 1d - name: Install diff --git a/ggml/src/CMakeLists.txt b/ggml/src/CMakeLists.txt index 566709135..0002ac18a 100644 --- a/ggml/src/CMakeLists.txt +++ b/ggml/src/CMakeLists.txt @@ -93,12 +93,18 @@ endif() if (GGML_CCACHE) find_program(GGML_CCACHE_FOUND ccache) + find_program(GGML_SCCACHE_FOUND sccache) - if (GGML_CCACHE_FOUND) + if (GGML_CCACHE_FOUND OR GGML_SCCACHE_FOUND) + if(GGML_CCACHE_FOUND) + set(GGML_CCACHE_VARIANT ccache) + else() + set(GGML_CCACHE_VARIANT sccache) + endif() # TODO: should not be set globally - set_property(GLOBAL PROPERTY RULE_LAUNCH_COMPILE ccache) + set_property(GLOBAL PROPERTY RULE_LAUNCH_COMPILE "${GGML_CCACHE_VARIANT}") set(ENV{CCACHE_SLOPPINESS} time_macros) - message(STATUS "ccache found, compilation results will be cached. Disable with GGML_CCACHE=OFF.") + message(STATUS "${GGML_CCACHE_VARIANT} found, compilation results will be cached. Disable with GGML_CCACHE=OFF.") else() message(STATUS "Warning: ccache not found - consider installing it for faster compilation or disable this warning with GGML_CCACHE=OFF") endif () From 5bbc7362cb93265f4c853fd89800a6255cc26985 Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Sat, 1 Feb 2025 00:01:20 +0000 Subject: [PATCH 089/162] ci: simplify cmake build commands (#11548) --- .github/workflows/build.yml | 86 +++++++++++++------------------------ 1 file changed, 30 insertions(+), 56 deletions(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 022b9bd03..03eabbbe5 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -59,16 +59,14 @@ jobs: id: cmake_build run: | sysctl -a - mkdir build - cd build - cmake .. \ + cmake -B build \ -DCMAKE_BUILD_RPATH="@loader_path" \ -DLLAMA_FATAL_WARNINGS=ON \ -DLLAMA_CURL=ON \ -DGGML_METAL_USE_BF16=ON \ -DGGML_METAL_EMBED_LIBRARY=ON \ -DGGML_RPC=ON - cmake --build . --config Release -j $(sysctl -n hw.logicalcpu) + cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) - name: Test id: cmake_test @@ -199,13 +197,11 @@ jobs: - name: Build id: cmake_build run: | - mkdir build - cd build - cmake .. \ + cmake -B build \ -DLLAMA_FATAL_WARNINGS=ON \ -DLLAMA_CURL=ON \ -DGGML_RPC=ON - cmake --build . --config Release -j $(nproc) + cmake --build build --config Release -j $(nproc) - name: Test id: cmake_test @@ -283,26 +279,22 @@ jobs: id: cmake_build if: ${{ matrix.sanitizer != 'THREAD' }} run: | - mkdir build - cd build - cmake .. \ + cmake -B build \ -DLLAMA_FATAL_WARNINGS=ON \ -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} - cmake --build . --config ${{ matrix.build_type }} -j $(nproc) + cmake --build build --config ${{ matrix.build_type }} -j $(nproc) - name: Build (no OpenMP) id: cmake_build_no_openmp if: ${{ matrix.sanitizer == 'THREAD' }} run: | - mkdir build - cd build - cmake .. \ + cmake -B build \ -DLLAMA_FATAL_WARNINGS=ON \ -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} \ -DGGML_OPENMP=OFF - cmake --build . --config ${{ matrix.build_type }} -j $(nproc) + cmake --build build --config ${{ matrix.build_type }} -j $(nproc) - name: Test id: cmake_test @@ -335,11 +327,9 @@ jobs: - name: Build id: cmake_build run: | - mkdir build - cd build - cmake .. \ + cmake -B build \ -DGGML_RPC=ON - cmake --build . --config Release -j $(nproc) + cmake --build build --config Release -j $(nproc) - name: Test id: cmake_test @@ -372,11 +362,9 @@ jobs: - name: Build id: cmake_build run: | - mkdir build - cd build - cmake .. \ + cmake -B build \ -DGGML_VULKAN=ON - cmake --build . --config Release -j $(nproc) + cmake --build build --config Release -j $(nproc) - name: Test id: cmake_test @@ -493,13 +481,11 @@ jobs: id: cmake_build run: | source /opt/intel/oneapi/setvars.sh - mkdir build - cd build - cmake .. \ + cmake -B build \ -DGGML_SYCL=ON \ -DCMAKE_C_COMPILER=icx \ -DCMAKE_CXX_COMPILER=icpx - cmake --build . --config Release -j $(nproc) + cmake --build build --config Release -j $(nproc) ubuntu-22-cmake-sycl-fp16: runs-on: ubuntu-22.04 @@ -543,14 +529,12 @@ jobs: id: cmake_build run: | source /opt/intel/oneapi/setvars.sh - mkdir build - cd build - cmake .. \ + cmake -B build \ -DGGML_SYCL=ON \ -DCMAKE_C_COMPILER=icx \ -DCMAKE_CXX_COMPILER=icpx \ -DGGML_SYCL_F16=ON - cmake --build . --config Release -j $(nproc) + cmake --build build --config Release -j $(nproc) macOS-latest-cmake-ios: runs-on: macos-latest @@ -576,9 +560,7 @@ jobs: id: cmake_build run: | sysctl -a - mkdir build - cd build - cmake -G Xcode .. \ + cmake -B build -G Xcode \ -DGGML_METAL_USE_BF16=ON \ -DGGML_METAL_EMBED_LIBRARY=ON \ -DLLAMA_BUILD_EXAMPLES=OFF \ @@ -587,7 +569,7 @@ jobs: -DCMAKE_SYSTEM_NAME=iOS \ -DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \ -DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml - cmake --build . --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO + cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO macOS-latest-cmake-tvos: runs-on: macos-latest @@ -613,9 +595,7 @@ jobs: id: cmake_build run: | sysctl -a - mkdir build - cd build - cmake -G Xcode .. \ + cmake -B build -G Xcode \ -DGGML_METAL_USE_BF16=ON \ -DGGML_METAL_EMBED_LIBRARY=ON \ -DLLAMA_BUILD_EXAMPLES=OFF \ @@ -624,7 +604,7 @@ jobs: -DCMAKE_SYSTEM_NAME=tvOS \ -DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \ -DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml - cmake --build . --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO + cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO macOS-latest-swift: runs-on: macos-latest @@ -654,17 +634,15 @@ jobs: id: cmake_build run: | sysctl -a - mkdir build - cd build - cmake -G Xcode .. \ + cmake -B build -G Xcode \ -DGGML_METAL_USE_BF16=ON \ -DGGML_METAL_EMBED_LIBRARY=ON \ -DLLAMA_BUILD_EXAMPLES=OFF \ -DLLAMA_BUILD_TESTS=OFF \ -DLLAMA_BUILD_SERVER=OFF \ -DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" - cmake --build . --config Release -j $(sysctl -n hw.logicalcpu) - sudo cmake --install . --config Release + cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) + sudo cmake --install build --config Release - name: xcodebuild for swift package id: xcodebuild @@ -806,21 +784,19 @@ jobs: run: | git clone https://github.com/KhronosGroup/OpenCL-Headers cd OpenCL-Headers - mkdir build && cd build - cmake .. ` + cmake -B build ` -DBUILD_TESTING=OFF ` -DOPENCL_HEADERS_BUILD_TESTING=OFF ` -DOPENCL_HEADERS_BUILD_CXX_TESTS=OFF ` -DCMAKE_INSTALL_PREFIX="$env:RUNNER_TEMP/opencl-arm64-release" - cmake --build . --target install + cmake --build build --target install git clone https://github.com/KhronosGroup/OpenCL-ICD-Loader cd OpenCL-ICD-Loader - mkdir build-arm64-release && cd build-arm64-release - cmake .. ` + cmake -B build-arm64-release ` -A arm64 ` -DCMAKE_PREFIX_PATH="$env:RUNNER_TEMP/opencl-arm64-release" ` -DCMAKE_INSTALL_PREFIX="$env:RUNNER_TEMP/opencl-arm64-release" - cmake --build . --target install --config release + cmake --build build-arm64-release --target install --config release - name: Build id: cmake_build @@ -1284,9 +1260,7 @@ jobs: id: cmake_build run: | sysctl -a - mkdir build - cd build - cmake -G Xcode .. \ + cmake -B build -G Xcode \ -DGGML_METAL_USE_BF16=ON \ -DGGML_METAL_EMBED_LIBRARY=ON \ -DLLAMA_BUILD_EXAMPLES=OFF \ @@ -1295,8 +1269,8 @@ jobs: -DCMAKE_SYSTEM_NAME=iOS \ -DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \ -DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml - cmake --build . --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO - sudo cmake --install . --config Release + cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO + sudo cmake --install build --config Release - name: xcodebuild for swift package id: xcodebuild From ecef206ccb186a1cde8dd2523b1da3e12f593f9e Mon Sep 17 00:00:00 2001 From: Eric Curtin Date: Sat, 1 Feb 2025 11:30:54 +0100 Subject: [PATCH 090/162] Implement s3:// protocol (#11511) For those that want to pull from s3 Signed-off-by: Eric Curtin --- examples/run/run.cpp | 43 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 43 insertions(+) diff --git a/examples/run/run.cpp b/examples/run/run.cpp index 9cecae48c..cf61f4add 100644 --- a/examples/run/run.cpp +++ b/examples/run/run.cpp @@ -65,6 +65,13 @@ static int printe(const char * fmt, ...) { return ret; } +static std::string strftime_fmt(const char * fmt, const std::tm & tm) { + std::ostringstream oss; + oss << std::put_time(&tm, fmt); + + return oss.str(); +} + class Opt { public: int init(int argc, const char ** argv) { @@ -698,6 +705,39 @@ class LlamaData { return download(url, bn, true); } + int s3_dl(const std::string & model, const std::string & bn) { + const size_t slash_pos = model.find('/'); + if (slash_pos == std::string::npos) { + return 1; + } + + const std::string bucket = model.substr(0, slash_pos); + const std::string key = model.substr(slash_pos + 1); + const char * access_key = std::getenv("AWS_ACCESS_KEY_ID"); + const char * secret_key = std::getenv("AWS_SECRET_ACCESS_KEY"); + if (!access_key || !secret_key) { + printe("AWS credentials not found in environment\n"); + return 1; + } + + // Generate AWS Signature Version 4 headers + // (Implementation requires HMAC-SHA256 and date handling) + // Get current timestamp + const time_t now = time(nullptr); + const tm tm = *gmtime(&now); + const std::string date = strftime_fmt("%Y%m%d", tm); + const std::string datetime = strftime_fmt("%Y%m%dT%H%M%SZ", tm); + const std::vector headers = { + "Authorization: AWS4-HMAC-SHA256 Credential=" + std::string(access_key) + "/" + date + + "/us-east-1/s3/aws4_request", + "x-amz-content-sha256: UNSIGNED-PAYLOAD", "x-amz-date: " + datetime + }; + + const std::string url = "https://" + bucket + ".s3.amazonaws.com/" + key; + + return download(url, bn, true, headers); + } + std::string basename(const std::string & path) { const size_t pos = path.find_last_of("/\\"); if (pos == std::string::npos) { @@ -738,6 +778,9 @@ class LlamaData { rm_until_substring(model_, "github:"); rm_until_substring(model_, "://"); ret = github_dl(model_, bn); + } else if (string_starts_with(model_, "s3://")) { + rm_until_substring(model_, "://"); + ret = s3_dl(model_, bn); } else { // ollama:// or nothing rm_until_substring(model_, "ollama.com/library/"); rm_until_substring(model_, "://"); From cfd74c86dbaa95ed30aa6b30e14d8801eb975d63 Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Sat, 1 Feb 2025 12:24:51 +0000 Subject: [PATCH 091/162] `sync`: minja (https://github.com/google/minja/commit/418a2364b56dc9be4ed9a1a2b0fb16fb53a7a22e) (#11574) --- common/minja.hpp | 49 +++++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 46 insertions(+), 3 deletions(-) diff --git a/common/minja.hpp b/common/minja.hpp index f0e80fd7c..bcb5a0824 100644 --- a/common/minja.hpp +++ b/common/minja.hpp @@ -693,7 +693,7 @@ enum SpaceHandling { Keep, Strip, StripSpaces, StripNewline }; class TemplateToken { public: - enum class Type { Text, Expression, If, Else, Elif, EndIf, For, EndFor, Generation, EndGeneration, Set, EndSet, Comment, Macro, EndMacro, Filter, EndFilter }; + enum class Type { Text, Expression, If, Else, Elif, EndIf, For, EndFor, Generation, EndGeneration, Set, EndSet, Comment, Macro, EndMacro, Filter, EndFilter, Break, Continue }; static std::string typeToString(Type t) { switch (t) { @@ -714,6 +714,8 @@ public: case Type::EndFilter: return "endfilter"; case Type::Generation: return "generation"; case Type::EndGeneration: return "endgeneration"; + case Type::Break: return "break"; + case Type::Continue: return "continue"; } return "Unknown"; } @@ -815,6 +817,22 @@ struct CommentTemplateToken : public TemplateToken { CommentTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post, const std::string& t) : TemplateToken(Type::Comment, location, pre, post), text(t) {} }; +enum class LoopControlType { Break, Continue }; + +class LoopControlException : public std::runtime_error { +public: + LoopControlType control_type; + LoopControlException(const std::string & message, LoopControlType control_type) : std::runtime_error(message), control_type(control_type) {} + LoopControlException(LoopControlType control_type) + : std::runtime_error((std::ostringstream() << (control_type == LoopControlType::Continue ? "continue" : "break") << " outside of a loop").str()), + control_type(control_type) {} +}; + +struct LoopControlTemplateToken : public TemplateToken { + LoopControlType control_type; + LoopControlTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post, LoopControlType control_type) : TemplateToken(Type::Break, location, pre, post), control_type(control_type) {} +}; + class TemplateNode { Location location_; protected: @@ -825,6 +843,12 @@ public: void render(std::ostringstream & out, const std::shared_ptr & context) const { try { do_render(out, context); + } catch (const LoopControlException & e) { + // TODO: make stack creation lazy. Only needed if it was thrown outside of a loop. + std::ostringstream err; + err << e.what(); + if (location_.source) err << error_location_suffix(*location_.source, location_.pos); + throw LoopControlException(err.str(), e.control_type); } catch (const std::exception & e) { std::ostringstream err; err << e.what(); @@ -897,6 +921,15 @@ public: } }; +class LoopControlNode : public TemplateNode { + LoopControlType control_type_; + public: + LoopControlNode(const Location & location, LoopControlType control_type) : TemplateNode(location), control_type_(control_type) {} + void do_render(std::ostringstream &, const std::shared_ptr &) const override { + throw LoopControlException(control_type_); + } +}; + class ForNode : public TemplateNode { std::vector var_names; std::shared_ptr iterable; @@ -961,7 +994,12 @@ public: loop.set("last", i == (n - 1)); loop.set("previtem", i > 0 ? filtered_items.at(i - 1) : Value()); loop.set("nextitem", i < n - 1 ? filtered_items.at(i + 1) : Value()); - body->render(out, loop_context); + try { + body->render(out, loop_context); + } catch (const LoopControlException & e) { + if (e.control_type == LoopControlType::Break) break; + if (e.control_type == LoopControlType::Continue) continue; + } } } }; @@ -2159,7 +2197,7 @@ private: static std::regex comment_tok(R"(\{#([-~]?)(.*?)([-~]?)#\})"); static std::regex expr_open_regex(R"(\{\{([-~])?)"); static std::regex block_open_regex(R"(^\{%([-~])?[\s\n\r]*)"); - static std::regex block_keyword_tok(R"((if|else|elif|endif|for|endfor|generation|endgeneration|set|endset|block|endblock|macro|endmacro|filter|endfilter)\b)"); + static std::regex block_keyword_tok(R"((if|else|elif|endif|for|endfor|generation|endgeneration|set|endset|block|endblock|macro|endmacro|filter|endfilter|break|continue)\b)"); static std::regex non_text_open_regex(R"(\{\{|\{%|\{#)"); static std::regex expr_close_regex(R"([\s\n\r]*([-~])?\}\})"); static std::regex block_close_regex(R"([\s\n\r]*([-~])?%\})"); @@ -2291,6 +2329,9 @@ private: } else if (keyword == "endfilter") { auto post_space = parseBlockClose(); tokens.push_back(std::make_unique(location, pre_space, post_space)); + } else if (keyword == "break" || keyword == "continue") { + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space, keyword == "break" ? LoopControlType::Break : LoopControlType::Continue)); } else { throw std::runtime_error("Unexpected block: " + keyword); } @@ -2414,6 +2455,8 @@ private: children.emplace_back(std::make_shared(token->location, std::move(filter_token->filter), std::move(body))); } else if (dynamic_cast(token.get())) { // Ignore comments + } else if (auto ctrl_token = dynamic_cast(token.get())) { + children.emplace_back(std::make_shared(token->location, ctrl_token->control_type)); } else if (dynamic_cast(token.get()) || dynamic_cast(token.get()) || dynamic_cast(token.get()) From 53debe6f3c9cca87e9520a83ee8c14d88977afa4 Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Sat, 1 Feb 2025 18:22:38 +0000 Subject: [PATCH 092/162] ci: use sccache on windows HIP jobs (#11553) --- .github/workflows/build.yml | 2 -- 1 file changed, 2 deletions(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 03eabbbe5..7392f2bfe 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -1154,7 +1154,6 @@ jobs: uses: hendrikmuhs/ccache-action@v1.2.16 with: key: ${{ github.job }} - variant: sccache evict-old-files: 1d - name: Build @@ -1189,7 +1188,6 @@ jobs: uses: hendrikmuhs/ccache-action@v1.2.16 with: key: windows-latest-cmake-hip-release - variant: sccache evict-old-files: 1d - name: Install From 0cec062a638700495673f5494d200b74340538be Mon Sep 17 00:00:00 2001 From: piDack <104877312+piDack@users.noreply.github.com> Date: Sun, 2 Feb 2025 15:48:46 +0800 Subject: [PATCH 093/162] llama : add support for GLM-Edge and GLM-Edge-V series models (#10573) * add glm edge chat model * use config partial_rotary_factor as rope ratio * support for glm edge model * vision model support * remove debug info * fix format * llava.cpp trailing whitespace * remove unused AutoTokenizer * Update src/llama.cpp for not contain <|end|> or Co-authored-by: Xuan Son Nguyen * add edge template * fix chat template * fix confict * fix confict * fix ci err * fix format err * fix template err * 9b hf chat support * format * format clip.cpp * fix format * Apply suggestions from code review * Apply suggestions from code review * Update examples/llava/clip.cpp * fix format * minor : style --------- Co-authored-by: liyuhang Co-authored-by: piDack Co-authored-by: Xuan Son Nguyen Co-authored-by: liyuhang Co-authored-by: Georgi Gerganov --- README.md | 3 +- convert_hf_to_gguf.py | 58 +--- examples/llava/README-glmedge.md | 43 +++ examples/llava/clip.cpp | 110 ++++++- examples/llava/clip.h | 2 + .../glmedge-convert-image-encoder-to-gguf.py | 280 ++++++++++++++++++ examples/llava/glmedge-surgery.py | 33 +++ examples/llava/llava.cpp | 17 ++ gguf-py/gguf/constants.py | 3 + src/llama-arch.cpp | 3 + src/llama-chat.cpp | 11 +- src/llama-chat.h | 1 + src/llama-model.cpp | 28 +- src/llama.cpp | 35 ++- tests/test-chat-template.cpp | 8 + 15 files changed, 568 insertions(+), 67 deletions(-) create mode 100644 examples/llava/README-glmedge.md create mode 100644 examples/llava/glmedge-convert-image-encoder-to-gguf.py create mode 100644 examples/llava/glmedge-surgery.py diff --git a/README.md b/README.md index d40309875..7f306d199 100644 --- a/README.md +++ b/README.md @@ -96,7 +96,7 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo - [x] [Bitnet b1.58 models](https://huggingface.co/1bitLLM) - [x] [Flan T5](https://huggingface.co/models?search=flan-t5) - [x] [Open Elm models](https://huggingface.co/collections/apple/openelm-instruct-models-6619ad295d7ae9f868b759ca) -- [x] [ChatGLM3-6b](https://huggingface.co/THUDM/chatglm3-6b) + [ChatGLM4-9b](https://huggingface.co/THUDM/glm-4-9b) +- [x] [ChatGLM3-6b](https://huggingface.co/THUDM/chatglm3-6b) + [ChatGLM4-9b](https://huggingface.co/THUDM/glm-4-9b) + [GLMEdge-1.5b](https://huggingface.co/THUDM/glm-edge-1.5b-chat) + [GLMEdge-4b](https://huggingface.co/THUDM/glm-edge-4b-chat) - [x] [SmolLM](https://huggingface.co/collections/HuggingFaceTB/smollm-6695016cad7167254ce15966) - [x] [EXAONE-3.0-7.8B-Instruct](https://huggingface.co/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct) - [x] [FalconMamba Models](https://huggingface.co/collections/tiiuae/falconmamba-7b-66b9a580324dd1598b0f6d4a) @@ -117,6 +117,7 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo - [x] [Mini CPM](https://huggingface.co/models?search=MiniCPM) - [x] [Moondream](https://huggingface.co/vikhyatk/moondream2) - [x] [Bunny](https://github.com/BAAI-DCAI/Bunny) +- [x] [GLM-EDGE](https://huggingface.co/models?search=glm-edge) - [x] [Qwen2-VL](https://huggingface.co/collections/Qwen/qwen2-vl-66cee7455501d7126940800d)
diff --git a/convert_hf_to_gguf.py b/convert_hf_to_gguf.py index 63b54a9cf..018a2a588 100755 --- a/convert_hf_to_gguf.py +++ b/convert_hf_to_gguf.py @@ -648,7 +648,7 @@ class Model: if chkhsh == "7967bfa498ade6b757b064f31e964dddbb80f8f9a4d68d4ba7998fcf281c531a": # ref: https://huggingface.co/jinaai/jina-embeddings-v2-base-code res = "jina-v2-code" - if chkhsh == "b6e8e1518dc4305be2fe39c313ed643381c4da5db34a98f6a04c093f8afbe99b": + if chkhsh == "b6e8e1518dc4305be2fe39c313ed643381c4da5db34a98f6a04c093f8afbe99b" or chkhsh == "81d72c7348a9f0ebe86f23298d37debe0a5e71149e29bd283904c02262b27516": # ref: https://huggingface.co/THUDM/glm-4-9b-chat res = "chatglm-bpe" if chkhsh == "7fc505bd3104ca1083b150b17d088b59534ede9bde81f0dd2090967d7fe52cee": @@ -4513,7 +4513,7 @@ class JaisModel(Model): self.gguf_writer.add_max_alibi_bias(self.max_alibi_bias) -@Model.register("ChatGLMModel", "ChatGLMForConditionalGeneration") +@Model.register("GlmForCausalLM", "ChatGLMModel", "ChatGLMForConditionalGeneration") class ChatGLMModel(Model): model_arch = gguf.MODEL_ARCH.CHATGLM @@ -4619,47 +4619,15 @@ class ChatGLMModel(Model): from transformers import AutoTokenizer tokenizer = AutoTokenizer.from_pretrained(dir_model, trust_remote_code=True) - vocab_size = hparams["padded_vocab_size"] + vocab_size = hparams.get("padded_vocab_size",hparams["vocab_size"]) assert max(tokenizer.get_vocab().values()) < vocab_size - tokpre = self.get_vocab_base_pre(tokenizer) - - merges = [] - vocab = {} - mergeable_ranks = tokenizer.mergeable_ranks - for token, rank in mergeable_ranks.items(): - vocab[ChatGLMModel.token_bytes_to_string(token)] = rank - if len(token) == 1: - continue - merged = ChatGLMModel.bpe(mergeable_ranks, token, max_rank=rank) - assert len(merged) >= 2 and len(merged) <= 7 - merges.append(' '.join(map(ChatGLMModel.token_bytes_to_string, merged))) - - # for this kind of tokenizer, added_vocab is not a subset of vocab, so they need to be combined - added_vocab = tokenizer.get_added_vocab() - reverse_vocab = {id_ : encoded_tok for encoded_tok, id_ in {**vocab, **added_vocab}.items()} - - for i in range(vocab_size): - if i not in reverse_vocab: - tokens.append(f"[PAD{i}]") - toktypes.append(gguf.TokenType.UNUSED) - elif reverse_vocab[i] in added_vocab: - tokens.append(reverse_vocab[i]) - if tokenizer.added_tokens_decoder[i].special: - toktypes.append(gguf.TokenType.CONTROL) - else: - toktypes.append(gguf.TokenType.USER_DEFINED) - else: - tokens.append(reverse_vocab[i]) - toktypes.append(gguf.TokenType.NORMAL) - + tokens, toktypes, tokpre = self.get_vocab_base() self.gguf_writer.add_tokenizer_model("gpt2") self.gguf_writer.add_tokenizer_pre(tokpre) self.gguf_writer.add_token_list(tokens) self.gguf_writer.add_token_types(toktypes) - - special_vocab = gguf.SpecialVocab(dir_model, load_merges=False) - special_vocab.merges = merges + special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True) # only add special tokens when they were not already loaded from config.json special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"]) special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"]) @@ -4670,16 +4638,20 @@ class ChatGLMModel(Model): def set_gguf_parameters(self): n_embed = self.hparams.get("hidden_size", self.hparams.get("n_embed")) n_head = self.hparams.get("n_head", self.hparams.get("num_attention_heads")) - n_head_kv = self.hparams.get("multi_query_group_num", n_head) + n_head_kv = self.hparams.get("multi_query_group_num", self.hparams.get("num_key_value_heads", n_head)) self.gguf_writer.add_context_length(self.hparams.get("seq_length", n_embed)) self.gguf_writer.add_embedding_length(n_embed) - self.gguf_writer.add_feed_forward_length(self.hparams.get("ffn_hidden_size", 4 * n_embed)) - self.gguf_writer.add_block_count(self.hparams["num_layers"]) + self.gguf_writer.add_feed_forward_length(self.hparams.get("ffn_hidden_size", self.hparams.get("intermediate_size", 4 * n_embed))) + self.gguf_writer.add_block_count(self.hparams.get("num_layers", self.hparams["num_hidden_layers"])) self.gguf_writer.add_head_count(n_head) self.gguf_writer.add_head_count_kv(n_head_kv) - self.gguf_writer.add_layer_norm_rms_eps(self.hparams["layernorm_epsilon"]) + self.gguf_writer.add_layer_norm_rms_eps(self.hparams.get("layernorm_epsilon",1e-5)) self.gguf_writer.add_file_type(self.ftype) - self.gguf_writer.add_rope_dimension_count(64) + if "attention_dim" in self.hparams: + rope_dim = self.hparams["attention_dim"] + else: + rope_dim = self.hparams["hidden_size"] // self.hparams["num_attention_heads"] + self.gguf_writer.add_rope_dimension_count(int(rope_dim * self.hparams.get("partial_rotary_factor", 0.5))) self.gguf_writer.add_add_bos_token(False) rope_freq = 10000 if "rope_ratio" in self.hparams: @@ -4689,7 +4661,7 @@ class ChatGLMModel(Model): def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: del bid # unused - if name.endswith(".rotary_pos_emb.inv_freq"): + if name.endswith(".rotary_pos_emb.inv_freq") or name.startswith("model.vision."): return [] name = name.removeprefix("transformer.") diff --git a/examples/llava/README-glmedge.md b/examples/llava/README-glmedge.md new file mode 100644 index 000000000..603d01474 --- /dev/null +++ b/examples/llava/README-glmedge.md @@ -0,0 +1,43 @@ +# GLMV-EDGE + +Currently this implementation supports [glm-edge-v-2b](https://huggingface.co/THUDM/glm-edge-v-2b) and [glm-edge-v-5b](https://huggingface.co/THUDM/glm-edge-v-5b). + +## Usage +Build with cmake or run `make llama-llava-cli` to build it. + +After building, run: `./llama-llava-cli` to see the usage. For example: + +```sh +./llama-llava-cli -m model_path/ggml-model-f16.gguf --mmproj model_path/mmproj-model-f16.gguf --image img_path/image.jpg -p "<|system|>\n system prompt <|user|>\n prompt <|assistant|>\n" +``` + +**note**: A lower temperature like 0.1 is recommended for better quality. add `--temp 0.1` to the command to do so. +**note**: For GPU offloading ensure to use the `-ngl` flag just like usual + +## GGUF conversion + +1. Clone a GLMV-EDGE model ([2B](https://huggingface.co/THUDM/glm-edge-v-2b) or [5B](https://huggingface.co/THUDM/glm-edge-v-5b)). For example: + +```sh +git clone https://huggingface.co/THUDM/glm-edge-v-5b or https://huggingface.co/THUDM/glm-edge-v-2b +``` + +2. Use `glmedge-surgery.py` to split the GLMV-EDGE model to LLM and multimodel projector constituents: + +```sh +python ./examples/llava/glmedge-surgery.py -m ../model_path +``` + +4. Use `glmedge-convert-image-encoder-to-gguf.py` to convert the GLMV-EDGE image encoder to GGUF: + +```sh +python ./examples/llava/glmedge-convert-image-encoder-to-gguf.py -m ../model_path --llava-projector ../model_path/glm.projector --output-dir ../model_path +``` + +5. Use `examples/convert_hf_to_gguf.py` to convert the LLM part of GLMV-EDGE to GGUF: + +```sh +python convert_hf_to_gguf.py ../model_path +``` + +Now both the LLM part and the image encoder are in the `model_path` directory. diff --git a/examples/llava/clip.cpp b/examples/llava/clip.cpp index 24073c5a9..7367d44cb 100644 --- a/examples/llava/clip.cpp +++ b/examples/llava/clip.cpp @@ -102,6 +102,7 @@ static std::string format(const char * fmt, ...) { #define KEY_HAS_VIS_ENC "clip.has_vision_encoder" #define KEY_HAS_LLAVA_PROJ "clip.has_llava_projector" #define KEY_HAS_MINICPMV_PROJ "clip.has_minicpmv_projector" +#define KEY_HAS_GLM_PROJ "clip.has_glm_projector" #define KEY_MINICPMV_VERSION "clip.minicpmv_version" #define KEY_HAS_QWEN2VL_MERGER "clip.has_qwen2vl_merger" #define KEY_USE_GELU "clip.use_gelu" @@ -160,6 +161,15 @@ static std::string format(const char * fmt, ...) { #define TN_MINICPMV_ATTN "resampler.attn.%s.%s" #define TN_MINICPMV_LN "resampler.ln_%s.%s" +#define TN_GLM_ADAPER_CONV "adapter.conv.%s" +#define TN_GLM_ADAPTER_LINEAR "adapter.linear.linear.%s" +#define TN_GLM_ADAPTER_NORM_1 "adapter.linear.norm1.%s" +#define TN_GLM_ADAPTER_D_H_2_4H "adapter.linear.dense_h_to_4h.%s" +#define TN_GLM_ADAPTER_GATE "adapter.linear.gate.%s" +#define TN_GLM_ADAPTER_D_4H_2_H "adapter.linear.dense_4h_to_h.%s" +#define TN_GLM_BOI_W "adapter.boi" +#define TN_GLM_EOI_W "adapter.eoi" + enum projector_type { PROJECTOR_TYPE_MLP, @@ -167,6 +177,7 @@ enum projector_type { PROJECTOR_TYPE_LDP, PROJECTOR_TYPE_LDPV2, PROJECTOR_TYPE_RESAMPLER, + PROJECTOR_TYPE_GLM_EDGE, PROJECTOR_TYPE_MERGER, PROJECTOR_TYPE_UNKNOWN, }; @@ -176,6 +187,7 @@ static std::map PROJECTOR_TYPE_NAMES = { { PROJECTOR_TYPE_LDP, "ldp" }, { PROJECTOR_TYPE_LDPV2, "ldpv2"}, { PROJECTOR_TYPE_RESAMPLER, "resampler"}, + { PROJECTOR_TYPE_GLM_EDGE, "adapter"}, { PROJECTOR_TYPE_MERGER, "qwen2vl_merger"}, }; @@ -500,6 +512,12 @@ struct clip_vision_model { struct ggml_tensor * mm_4_w = NULL; struct ggml_tensor * mm_4_b = NULL; + //GLMV-Edge projection + struct ggml_tensor * mm_model_adapter_conv_w; + struct ggml_tensor * mm_model_adapter_conv_b; + struct ggml_tensor * boi_w; + struct ggml_tensor * eoi_w; + // MobileVLM projection struct ggml_tensor * mm_model_mlp_1_w; struct ggml_tensor * mm_model_mlp_1_b; @@ -560,6 +578,7 @@ struct clip_ctx { bool has_vision_encoder = false; bool has_llava_projector = false; bool has_minicpmv_projector = false; + bool has_glm_projector = false; bool has_qwen2vl_merger = false; int minicpmv_version = 2; @@ -638,7 +657,7 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32 const int batch_size = imgs->size; - if (ctx->has_llava_projector || ctx->has_minicpmv_projector) { + if (ctx->has_llava_projector || ctx->has_minicpmv_projector || ctx->has_glm_projector) { GGML_ASSERT(batch_size == 1); } @@ -734,8 +753,7 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32 } // loop over layers - if (ctx->has_minicpmv_projector || ctx->has_qwen2vl_merger) { - // TODO: figure out why we doing thing in this way ??? + if (ctx->has_minicpmv_projector || ctx->has_glm_projector || ctx->has_qwen2vl_merger) { n_layer += 1; } for (int il = 0; il < n_layer - 1; il++) { @@ -1095,7 +1113,33 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32 GGML_ASSERT(false); } } - else if (ctx->proj_type == PROJECTOR_TYPE_MERGER) { + // glm projector + else if (ctx->has_glm_projector) { + if (ctx->proj_type == PROJECTOR_TYPE_GLM_EDGE) { + size_t gridsz = (size_t)sqrt(embeddings->ne[1]); + embeddings = ggml_cont(ctx0, ggml_permute(ctx0,embeddings,1,0,2,3)); + embeddings = ggml_reshape_3d(ctx0, embeddings, gridsz, gridsz, embeddings->ne[1]); + embeddings = ggml_conv_2d(ctx0, model.mm_model_adapter_conv_w, embeddings, 2, 2, 0, 0, 1, 1); + embeddings = ggml_reshape_3d(ctx0, embeddings,embeddings->ne[0]*embeddings->ne[1] , embeddings->ne[2], batch_size); + embeddings = ggml_cont(ctx0, ggml_permute(ctx0,embeddings, 1, 0, 2, 3)); + embeddings = ggml_add(ctx0, embeddings, model.mm_model_adapter_conv_b); + //GLU + { + embeddings = ggml_mul_mat(ctx0, model.mm_model_mlp_0_w, embeddings); + embeddings = ggml_norm(ctx0, embeddings, eps); + embeddings = ggml_add(ctx0, ggml_mul(ctx0, embeddings, model.mm_model_ln_q_w), model.mm_model_ln_q_b); + embeddings = ggml_gelu_inplace(ctx0, embeddings); + struct ggml_tensor * x = embeddings; + embeddings = ggml_mul_mat(ctx0, model.mm_model_mlp_2_w, embeddings); + x = ggml_mul_mat(ctx0, model.mm_model_mlp_1_w,x); + embeddings = ggml_silu_inplace(ctx0, embeddings); + embeddings = ggml_mul(ctx0, embeddings,x); + embeddings = ggml_mul_mat(ctx0, model.mm_model_mlp_3_w, embeddings); + } + } else { + GGML_ABORT("fatel error"); + } + } else if (ctx->proj_type == PROJECTOR_TYPE_MERGER) { embeddings = ggml_reshape_3d(ctx0, embeddings, hidden_size * 4, num_positions / 4, batch_size); embeddings = ggml_mul_mat(ctx0, model.mm_0_w, embeddings); @@ -1284,6 +1328,11 @@ struct clip_ctx * clip_model_load(const char * fname, const int verbosity = 1) { new_clip->minicpmv_version = gguf_get_val_i32(ctx, idx); } + idx = gguf_find_key(ctx, KEY_HAS_GLM_PROJ); + if (idx != -1) { + new_clip->has_glm_projector = gguf_get_val_bool(ctx, idx); + } + idx = gguf_find_key(ctx, KEY_HAS_QWEN2VL_MERGER); if (idx != -1) { new_clip->has_qwen2vl_merger = gguf_get_val_bool(ctx, idx); @@ -1308,6 +1357,7 @@ struct clip_ctx * clip_model_load(const char * fname, const int verbosity = 1) { LOG_INF("%s: vision_encoder: %d\n", __func__, new_clip->has_vision_encoder); LOG_INF("%s: llava_projector: %d\n", __func__, new_clip->has_llava_projector); LOG_INF("%s: minicpmv_projector: %d\n", __func__, new_clip->has_minicpmv_projector); + LOG_INF("%s: glm_projector: %d\n", __func__, new_clip->has_glm_projector); LOG_INF("%s: model size: %.2f MB\n", __func__, model_size / 1024.0 / 1024.0); LOG_INF("%s: metadata size: %.2f MB\n", __func__, ggml_get_mem_size(meta) / 1024.0 / 1024.0); } @@ -1575,6 +1625,18 @@ struct clip_ctx * clip_model_load(const char * fname, const int verbosity = 1) { vision_model.mm_model_ln_post_w = get_tensor(new_clip->ctx_data, format(TN_MINICPMV_LN, "post", "weight")); vision_model.mm_model_ln_post_b = get_tensor(new_clip->ctx_data, format(TN_MINICPMV_LN, "post", "bias")); } + else if (new_clip->proj_type == PROJECTOR_TYPE_GLM_EDGE) { + vision_model.mm_model_adapter_conv_w = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPER_CONV, "weight")); + vision_model.mm_model_adapter_conv_b = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPER_CONV, "bias")); + vision_model.mm_model_mlp_0_w = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPTER_LINEAR,"weight")); + vision_model.mm_model_ln_q_w = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPTER_NORM_1,"weight")); + vision_model.mm_model_ln_q_b = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPTER_NORM_1,"bias")); + vision_model.mm_model_mlp_1_w = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPTER_D_H_2_4H,"weight")); + vision_model.mm_model_mlp_2_w = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPTER_GATE,"weight")); + vision_model.mm_model_mlp_3_w = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPTER_D_4H_2_H,"weight")); + vision_model.boi_w = get_tensor(new_clip->ctx_data, TN_GLM_BOI_W); + vision_model.eoi_w = get_tensor(new_clip->ctx_data, TN_GLM_EOI_W); + } else if (new_clip->proj_type == PROJECTOR_TYPE_MERGER) { vision_model.mm_0_w = get_tensor(new_clip->ctx_data, format(TN_LLAVA_PROJ, 0, "weight")); vision_model.mm_0_b = get_tensor(new_clip->ctx_data, format(TN_LLAVA_PROJ, 0, "bias")); @@ -2115,6 +2177,20 @@ bool clip_image_preprocess(struct clip_ctx * ctx, const clip_image_u8 * img, cli return true; } + if (ctx->has_glm_projector) { + res_imgs->size = 1; + res_imgs->data = new clip_image_f32[res_imgs->size]; + clip_image_u8 resized_image; + int32_t sz=ctx->vision_model.hparams.image_size; + bicubic_resize(*img, resized_image,sz,sz); + clip_image_f32 * res = clip_image_f32_init(); + //clip_image_save_to_bmp(resized_image, "resized.bmp"); + normalize_image_u8_to_f32(&resized_image, res, ctx->image_mean, ctx->image_std); + res_imgs->data[0] = *res; + clip_image_f32_free(res); + return true; + } + bool pad_to_square = true; if (!ctx->has_vision_encoder) { LOG_ERR("This gguf file seems to have no vision encoder\n"); @@ -2300,7 +2376,8 @@ void clip_free(clip_ctx * ctx) { } size_t clip_embd_nbytes(const struct clip_ctx * ctx) { - return clip_n_patches(ctx) * clip_n_mmproj_embd(ctx) * sizeof(float); + int extra_tokens = ctx->has_glm_projector ? 2 : 0; + return (clip_n_patches(ctx) + extra_tokens) * clip_n_mmproj_embd(ctx) * sizeof(float); } size_t clip_embd_nbytes_by_img(const struct clip_ctx * ctx, int img_h, int img_w) { @@ -2342,7 +2419,7 @@ int clip_n_patches_by_img(const struct clip_ctx * ctx, struct clip_image_f32 * i int n_patches = (params.image_size / params.patch_size) * (params.image_size / params.patch_size); - if (ctx->proj_type == PROJECTOR_TYPE_LDP || ctx->proj_type == PROJECTOR_TYPE_LDPV2) { + if (ctx->proj_type == PROJECTOR_TYPE_LDP || ctx->proj_type == PROJECTOR_TYPE_LDPV2 || ctx->proj_type == PROJECTOR_TYPE_GLM_EDGE) { n_patches /= 4; } else if (ctx->proj_type == PROJECTOR_TYPE_RESAMPLER) { if (ctx->minicpmv_version == 2) { @@ -2475,6 +2552,12 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima if (ctx->has_minicpmv_projector) { GGML_ASSERT(batch_size == 1); } + if (ctx->has_glm_projector) { + GGML_ASSERT(batch_size == 1); + ggml_tensor * boi = ctx->vision_model.boi_w; + ggml_backend_tensor_get(boi,vec,0,ggml_nbytes(boi)); + vec = (float*)(vec+ggml_nelements(boi)); //offset for boi + } // build the inference graph ggml_cgraph * gf = clip_image_build_graph(ctx, imgs, ctx->load_image_size, true); @@ -2627,7 +2710,7 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima ggml_backend_tensor_set(positions, positions_data, 0, ggml_nbytes(positions)); free(positions_data); - { + if (!ctx->has_glm_projector) { struct ggml_tensor * patches = ggml_graph_get_tensor(gf, "patches"); int* patches_data = (int*)malloc(ggml_nbytes(patches)); for (int i = 0; i < num_patches; i++) { @@ -2651,6 +2734,13 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima // copy the embeddings to the location passed by the user ggml_backend_tensor_get(embeddings, vec, 0, ggml_nbytes(embeddings)); + if (ctx->has_glm_projector) { + //eoi + ggml_tensor * eoi = ctx->vision_model.eoi_w; + int offset = ggml_nelements(embeddings); + ggml_backend_tensor_get(eoi, vec+offset, 0, ggml_nbytes(eoi)); + } + return true; } @@ -2812,6 +2902,9 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) { return 3584; } } + if (ctx->proj_type == PROJECTOR_TYPE_GLM_EDGE){ + return ctx->vision_model.mm_model_mlp_3_w->ne[1]; + } if (ctx->proj_type == PROJECTOR_TYPE_MERGER) { return ctx->vision_model.mm_1_b->ne[0]; } @@ -2827,6 +2920,9 @@ int clip_is_minicpmv(const struct clip_ctx * ctx) { return 0; } +bool clip_is_glm(const struct clip_ctx * ctx) { + return ctx->has_glm_projector; +} bool clip_is_qwen2vl(const struct clip_ctx * ctx) { return ctx->has_qwen2vl_merger; } diff --git a/examples/llava/clip.h b/examples/llava/clip.h index 1603edd26..841b4f6f9 100644 --- a/examples/llava/clip.h +++ b/examples/llava/clip.h @@ -93,6 +93,8 @@ CLIP_API bool clip_is_qwen2vl(const struct clip_ctx * ctx); CLIP_API bool clip_encode_float_image (struct clip_ctx * ctx, int n_threads, float * img, int h, int w, float * vec); +CLIP_API bool clip_is_glm(const struct clip_ctx * ctx); + #ifdef __cplusplus } #endif diff --git a/examples/llava/glmedge-convert-image-encoder-to-gguf.py b/examples/llava/glmedge-convert-image-encoder-to-gguf.py new file mode 100644 index 000000000..848ef1cf3 --- /dev/null +++ b/examples/llava/glmedge-convert-image-encoder-to-gguf.py @@ -0,0 +1,280 @@ +import argparse +import os +import json +import re + +import torch +import numpy as np +from gguf import * + +TEXT = "clip.text" +VISION = "clip.vision" +from transformers import SiglipVisionModel, SiglipVisionConfig + +def k(raw_key: str, arch: str) -> str: + return raw_key.format(arch=arch) + + +def should_skip_tensor(name: str, has_text: bool, has_vision: bool, has_llava: bool) -> bool: + if name in ( + "logit_scale", + "text_model.embeddings.position_ids", + "vision_model.embeddings.position_ids", + ): + return True + + if name in ( + "vision_model.head.probe", + "vision_model.head.attention.in_proj_weight", + "vision_model.head.attention.in_proj_bias", + "vision_model.head.attention.out_proj.weight", + "vision_model.head.attention.out_proj.bias", + "vision_model.head.layernorm.weight", + "vision_model.head.layernorm.bias", + "vision_model.head.mlp.fc1.weight", + "vision_model.head.mlp.fc1.bias", + "vision_model.head.mlp.fc2.weight", + "vision_model.head.mlp.fc2.bias" + ): + return True + + if name.startswith("v") and not has_vision: + return True + + if name.startswith("t") and not has_text: + return True + + return False + + +def get_tensor_name(name: str) -> str: + if "projection" in name: + return name + if "mm_projector" in name: + name = name.replace("model.mm_projector", "mm") + name = re.sub(r'mm\.mlp\.mlp', 'mm.model.mlp', name, count=1) + name = re.sub(r'mm\.peg\.peg', 'mm.model.peg', name, count=1) + return name + + return name.replace("text_model", "t").replace("vision_model", "v").replace("encoder.layers", "blk").replace("embeddings.", "").replace("_proj", "").replace("self_attn.", "attn_").replace("layer_norm", "ln").replace("layernorm", "ln").replace("mlp.fc1", "ffn_down").replace("mlp.fc2", "ffn_up").replace("embedding", "embd").replace("final", "post").replace("layrnorm", "ln") + + +def bytes_to_unicode(): + """ + Returns list of utf-8 byte and a corresponding list of unicode strings. + The reversible bpe codes work on unicode strings. + This means you need a large # of unicode characters in your vocab if you want to avoid UNKs. + When you're at something like a 10B token dataset you end up needing around 5K for decent coverage. + This is a significant percentage of your normal, say, 32K bpe vocab. + To avoid that, we want lookup tables between utf-8 bytes and unicode strings. + And avoids mapping to whitespace/control characters the bpe code barfs on. + """ + bs = ( + list(range(ord("!"), ord("~") + 1)) + + list(range(ord("¡"), ord("¬") + 1)) + + list(range(ord("®"), ord("ÿ") + 1)) + ) + cs = bs[:] + n = 0 + for b in range(2**8): + if b not in bs: + bs.append(b) + cs.append(2**8 + n) + n += 1 + cs = [chr(n) for n in cs] + return dict(zip(bs, cs)) + + +ap = argparse.ArgumentParser() +ap.add_argument("-m", "--model-dir", help="Path to model directory cloned from HF Hub", required=True) +ap.add_argument("--use-f32", action="store_true", default=False, help="Use f32 instead of f16") +ap.add_argument("--text-only", action="store_true", required=False, + help="Save a text-only model. It can't be used to encode images") +ap.add_argument("--vision-only", action="store_true", required=False, + help="Save a vision-only model. It can't be used to encode texts") +ap.add_argument("--clip-model-is-vision", action="store_true", required=False, + help="The clip model is a pure vision model (ShareGPT4V vision extract for example)") +ap.add_argument("--clip-model-is-openclip", action="store_true", required=False, + help="The clip model is from openclip (for ViT-SO400M type))") +ap.add_argument("--llava-projector", help="Path to llava.projector file. If specified, save an image encoder for LLaVA models.") +ap.add_argument("--projector-type", help="Type of projector. Possible values: mlp, ldp, ldpv2", choices=["mlp", "ldp", "ldpv2","adapter"], default="adapter") +ap.add_argument("-o", "--output-dir", help="Directory to save GGUF files. Default is the original model directory", default=None) +# Example --image_mean 0.48145466 0.4578275 0.40821073 --image_std 0.26862954 0.26130258 0.27577711 +# Example --image_mean 0.5 0.5 0.5 --image_std 0.5 0.5 0.5 +default_image_mean = [0.5, 0.5, 0.5] +default_image_std = [0.5, 0.5, 0.5] +ap.add_argument('--image-mean', type=float, nargs='+', help='Mean of the images for normalization (overrides processor) ', default=None) +ap.add_argument('--image-std', type=float, nargs='+', help='Standard deviation of the images for normalization (overrides processor)', default=None) + +# with proper +args = ap.parse_args() + + +if args.text_only and args.vision_only: + print("--text-only and --image-only arguments cannot be specified at the same time.") + exit(1) + +if args.use_f32: + print("WARNING: Weights for the convolution op is always saved in f16, as the convolution op in GGML does not support 32-bit kernel weights yet.") + +# output in the same directory as the model if output_dir is None +dir_model = args.model_dir + +if args.clip_model_is_vision or not os.path.exists(dir_model + "/vocab.json") or args.clip_model_is_openclip: + vocab = None + tokens = None +else: + with open(dir_model + "/vocab.json", "r", encoding="utf-8") as f: + vocab = json.load(f) + tokens = [key for key in vocab] + +with open(dir_model + "/config.json", "r", encoding="utf-8") as f: + config = json.load(f) + if args.clip_model_is_vision: + v_hparams = config + t_hparams = None + else: + v_hparams = config["vision_config"] + t_hparams = None + +# possible data types +# ftype == 0 -> float32 +# ftype == 1 -> float16 +# +# map from ftype to string +ftype_str = ["f32", "f16"] + +ftype = 1 +if args.use_f32: + ftype = 0 + +vision_config = SiglipVisionConfig(**v_hparams) +model = SiglipVisionModel(vision_config) +model.load_state_dict(torch.load(os.path.join(dir_model, "glm.clip"))) + +fname_middle = None +has_text_encoder = False +has_vision_encoder = True +has_glm_projector = True +if args.text_only: + fname_middle = "text-" + has_vision_encoder = False +elif args.llava_projector is not None: + fname_middle = "mmproj-" + has_text_encoder = False + has_glm_projector = True +elif args.vision_only: + fname_middle = "vision-" + has_text_encoder = False +else: + fname_middle = "" + +output_dir = args.output_dir if args.output_dir is not None else dir_model +os.makedirs(output_dir, exist_ok=True) +output_prefix = os.path.basename(output_dir).replace("ggml_", "") +fname_out = os.path.join(output_dir, f"{fname_middle}model-{ftype_str[ftype]}.gguf") +fout = GGUFWriter(path=fname_out, arch="clip") + +fout.add_bool("clip.has_text_encoder", has_text_encoder) +fout.add_bool("clip.has_vision_encoder", has_vision_encoder) +fout.add_bool("clip.has_glm_projector", has_glm_projector) +fout.add_file_type(ftype) +model_name = config["_name_or_path"] if "_name_or_path" in config else os.path.basename(dir_model) +fout.add_name(model_name) +if has_glm_projector: + fout.add_description("image encoder for glm4v") + fout.add_string("clip.projector_type", "adapter") +else: + fout.add_description("two-tower CLIP model") + +if has_text_encoder: + assert t_hparams is not None + assert tokens is not None + # text_model hparams + fout.add_uint32(k(KEY_CONTEXT_LENGTH, TEXT), t_hparams["max_position_embeddings"]) + fout.add_uint32(k(KEY_EMBEDDING_LENGTH, TEXT), t_hparams["hidden_size"]) + fout.add_uint32(k(KEY_FEED_FORWARD_LENGTH, TEXT), t_hparams["intermediate_size"]) + fout.add_uint32("clip.text.projection_dim", t_hparams.get("projection_dim", config["projection_dim"])) + fout.add_uint32(k(KEY_ATTENTION_HEAD_COUNT, TEXT), t_hparams["num_attention_heads"]) + fout.add_float32(k(KEY_ATTENTION_LAYERNORM_EPS, TEXT), t_hparams["layer_norm_eps"]) + fout.add_uint32(k(KEY_BLOCK_COUNT, TEXT), t_hparams["num_hidden_layers"]) + fout.add_token_list(tokens) + +if has_vision_encoder: + # vision_model hparams + fout.add_uint32("clip.vision.image_size", v_hparams["image_size"]) + fout.add_uint32("clip.vision.patch_size", v_hparams["patch_size"]) + fout.add_uint32(k(KEY_EMBEDDING_LENGTH, VISION), v_hparams["hidden_size"]) + fout.add_uint32(k(KEY_FEED_FORWARD_LENGTH, VISION), v_hparams["intermediate_size"]) + fout.add_uint32("clip.vision.projection_dim", 0) + fout.add_uint32(k(KEY_ATTENTION_HEAD_COUNT, VISION), v_hparams["num_attention_heads"]) + fout.add_float32(k(KEY_ATTENTION_LAYERNORM_EPS, VISION), 1e-6) + fout.add_uint32(k(KEY_BLOCK_COUNT, VISION), v_hparams["num_hidden_layers"]) + + image_mean = args.image_mean if args.image_mean is not None else default_image_mean + image_std = args.image_std if args.image_std is not None else default_image_std + fout.add_array("clip.vision.image_mean", image_mean) + fout.add_array("clip.vision.image_std", image_std) + +fout.add_bool("clip.use_gelu", True) + + +if has_glm_projector: + # model.vision_model.encoder.layers.pop(-1) # pyright: ignore[reportAttributeAccessIssue] + projector = torch.load(args.llava_projector) + for name, data in projector.items(): + name = get_tensor_name(name) + # pw and dw conv ndim==4 + if data.ndim == 2 or data.ndim == 4: + data = data.squeeze().numpy().astype(np.float16) + else: + data = data.squeeze().numpy().astype(np.float32) + if name.startswith("vision."): + name=name.replace("vision.","") + fout.add_tensor(name, data) + print(f"Projector {name} - {data.dtype} - shape = {data.shape}") + # print(f"Projector {name} tensors added\n") + +state_dict = model.state_dict() # pyright: ignore[reportAttributeAccessIssue] +for name, data in state_dict.items(): + if should_skip_tensor(name, has_text_encoder, has_vision_encoder, has_glm_projector): + # we don't need this + print(f"skipping parameter: {name}") + continue + + name = get_tensor_name(name) + data = data.squeeze().numpy() + + n_dims = len(data.shape) + + # ftype == 0 -> float32, ftype == 1 -> float16 + ftype_cur = 0 + if n_dims == 4: + print(f"tensor {name} is always saved in f16") + data = data.astype(np.float16) + ftype_cur = 1 + elif ftype == 1: + if name[-7:] == ".weight" and n_dims == 2: + # print(" Converting to float16") + data = data.astype(np.float16) + ftype_cur = 1 + else: + # print(" Converting to float32") + data = data.astype(np.float32) + ftype_cur = 0 + else: + if data.dtype != np.float32: + # print(" Converting to float32") + data = data.astype(np.float32) + ftype_cur = 0 + print(f"siglip {name} - {data.dtype} - shape = {data.shape}") + # print(f"{name} - {ftype_str[ftype_cur]} - shape = {data.shape}") + fout.add_tensor(name, data) + + +fout.write_header_to_file() +fout.write_kv_data_to_file() +fout.write_tensors_to_file() +fout.close() + +print("Done. Output file: " + fname_out) diff --git a/examples/llava/glmedge-surgery.py b/examples/llava/glmedge-surgery.py new file mode 100644 index 000000000..16bb915d0 --- /dev/null +++ b/examples/llava/glmedge-surgery.py @@ -0,0 +1,33 @@ +import argparse +import os +import torch +from transformers import AutoModel + +ap = argparse.ArgumentParser() +ap.add_argument("-m", "--model", help="Path to GLM model") +args = ap.parse_args() + +# find the model part that includes the the multimodal projector weights +model = AutoModel.from_pretrained(args.model, trust_remote_code=True, local_files_only=True) +checkpoint = model.state_dict() + +# get a list of mm tensor names +mm_tensors = [k for k, v in checkpoint.items() if k.startswith("vision.adapter.")] + +# store these tensors in a new dictionary and torch.save them +projector = {name: checkpoint[name].float() for name in mm_tensors} +torch.save(projector, f"{args.model}/glm.projector") + +clip_tensors = [k for k, v in checkpoint.items() if k.startswith("vision.vit.model.vision_model.")] +if len(clip_tensors) > 0: + clip = {name.replace("vision.vit.model.", ""): checkpoint[name].float() for name in clip_tensors} + torch.save(clip, f"{args.model}/glm.clip") + + # added tokens should be removed to be able to convert Mistral models + if os.path.exists(f"{args.model}/added_tokens.json"): + with open(f"{args.model}/added_tokens.json", "w") as f: + f.write("{}\n") + +print("Done!") +print(f"Now you can convert {args.model} to a regular LLaMA GGUF file.") +print(f"Also, use {args.model}glm.projector to prepare a glm-encoder.gguf file.") diff --git a/examples/llava/llava.cpp b/examples/llava/llava.cpp index 2cac7933d..300714045 100644 --- a/examples/llava/llava.cpp +++ b/examples/llava/llava.cpp @@ -311,6 +311,20 @@ static bool encode_image_with_clip(clip_ctx * ctx_clip, int n_threads, const cli img_res_v.size = 0; img_res_v.data = nullptr; } + else if (clip_is_glm(ctx_clip)){ + struct clip_image_size * load_image_size = clip_image_size_init(); + load_image_size->width = img_res_v.data[0].nx; + load_image_size->height = img_res_v.data[0].ny; + clip_add_load_image_size(ctx_clip, load_image_size); + + bool encoded = clip_image_encode(ctx_clip, n_threads, &img_res_v.data[0], image_embd); + int pos = int(load_image_size->width/clip_patch_size(ctx_clip)/2); + *n_img_pos = (pos * pos + 2); + if (!encoded){ + LOG_ERR("Unable to encode image \n"); + return false; + } + } else if (strcmp(mm_patch_merge_type, "spatial_unpad") != 0) { // flat / default llava-1.5 type embedding *n_img_pos = clip_n_patches(ctx_clip); @@ -395,6 +409,9 @@ bool llava_image_embed_make_with_clip_img(clip_ctx * ctx_clip, int n_threads, co if (clip_is_minicpmv(ctx_clip)) { num_max_patches = 10; } + if (clip_is_glm(ctx_clip)) { + num_max_patches = 1; + } float * image_embd; if (clip_is_qwen2vl(ctx_clip)) { // qwen2vl don't split image into chunks, so `num_max_patches` is not needed. diff --git a/gguf-py/gguf/constants.py b/gguf-py/gguf/constants.py index 8fe84df21..ecac5b4bb 100644 --- a/gguf-py/gguf/constants.py +++ b/gguf-py/gguf/constants.py @@ -1357,6 +1357,9 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = { MODEL_TENSOR.OUTPUT, MODEL_TENSOR.ATTN_NORM, MODEL_TENSOR.ATTN_QKV, + MODEL_TENSOR.ATTN_Q, + MODEL_TENSOR.ATTN_K, + MODEL_TENSOR.ATTN_V, MODEL_TENSOR.ATTN_OUT, MODEL_TENSOR.FFN_NORM, MODEL_TENSOR.FFN_DOWN, diff --git a/src/llama-arch.cpp b/src/llama-arch.cpp index a7260f495..97a1e7e5e 100644 --- a/src/llama-arch.cpp +++ b/src/llama-arch.cpp @@ -1024,6 +1024,9 @@ static const std::map> LLM_TENSOR_N { LLM_TENSOR_OUTPUT, "output" }, { LLM_TENSOR_ATTN_NORM, "blk.%d.attn_norm" }, { LLM_TENSOR_ATTN_QKV, "blk.%d.attn_qkv" }, + { LLM_TENSOR_ATTN_Q, "blk.%d.attn_q" }, + { LLM_TENSOR_ATTN_K, "blk.%d.attn_k" }, + { LLM_TENSOR_ATTN_V, "blk.%d.attn_v" }, { LLM_TENSOR_ATTN_OUT, "blk.%d.attn_output" }, { LLM_TENSOR_FFN_NORM, "blk.%d.ffn_norm" }, { LLM_TENSOR_FFN_UP, "blk.%d.ffn_up" }, diff --git a/src/llama-chat.cpp b/src/llama-chat.cpp index 5c19bab24..028a64794 100644 --- a/src/llama-chat.cpp +++ b/src/llama-chat.cpp @@ -51,6 +51,7 @@ static const std::map LLM_CHAT_TEMPLATES = { { "llama3", LLM_CHAT_TEMPLATE_LLAMA_3 }, { "chatglm3", LLM_CHAT_TEMPLATE_CHATGML_3 }, { "chatglm4", LLM_CHAT_TEMPLATE_CHATGML_4 }, + { "glmedge", LLM_CHAT_TEMPLATE_GLMEDGE }, { "minicpm", LLM_CHAT_TEMPLATE_MINICPM }, { "exaone3", LLM_CHAT_TEMPLATE_EXAONE_3 }, { "rwkv-world", LLM_CHAT_TEMPLATE_RWKV_WORLD }, @@ -115,7 +116,7 @@ llm_chat_template llm_chat_detect_template(const std::string & tmpl) { } else if (tmpl_contains("<|assistant|>") && tmpl_contains("<|end|>")) { return LLM_CHAT_TEMPLATE_PHI_3; } else if (tmpl_contains("<|assistant|>") && tmpl_contains("<|user|>")) { - return LLM_CHAT_TEMPLATE_FALCON_3; + return tmpl_contains("") ? LLM_CHAT_TEMPLATE_FALCON_3 : LLM_CHAT_TEMPLATE_GLMEDGE; } else if (tmpl_contains("<|user|>") && tmpl_contains("<|endoftext|>")) { return LLM_CHAT_TEMPLATE_ZEPHYR; } else if (tmpl_contains("bos_token + message['role']")) { @@ -440,6 +441,14 @@ int32_t llm_chat_apply_template( if (add_ass) { ss << "<|assistant|>"; } + } else if (tmpl == LLM_CHAT_TEMPLATE_GLMEDGE) { + for (auto message : chat) { + std::string role(message->role); + ss << "<|" << role << "|>" << "\n" << message->content; + } + if (add_ass) { + ss << "<|assistant|>"; + } } else if (tmpl == LLM_CHAT_TEMPLATE_MINICPM) { // MiniCPM-3B-OpenHermes-2.5-v2-GGUF for (auto message : chat) { diff --git a/src/llama-chat.h b/src/llama-chat.h index 3a4d07ce3..2f6a0e3e2 100644 --- a/src/llama-chat.h +++ b/src/llama-chat.h @@ -31,6 +31,7 @@ enum llm_chat_template { LLM_CHAT_TEMPLATE_LLAMA_3, LLM_CHAT_TEMPLATE_CHATGML_3, LLM_CHAT_TEMPLATE_CHATGML_4, + LLM_CHAT_TEMPLATE_GLMEDGE, LLM_CHAT_TEMPLATE_MINICPM, LLM_CHAT_TEMPLATE_EXAONE_3, LLM_CHAT_TEMPLATE_RWKV_WORLD, diff --git a/src/llama-model.cpp b/src/llama-model.cpp index 18bd0b071..0487c978b 100644 --- a/src/llama-model.cpp +++ b/src/llama-model.cpp @@ -1093,8 +1093,20 @@ void llama_model::load_hparams(llama_model_loader & ml) { { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); switch (hparams.n_layer) { - case 28: type = LLM_TYPE_6B; break; - case 40: type = LLM_TYPE_9B; break; + case 28: { + if (hparams.n_head(0) == 16) { + type = LLM_TYPE_1_5B; + } else { + type = LLM_TYPE_6B; + } + } break; + case 40: { + if (hparams.n_head(0) == 24) { + type = LLM_TYPE_4B; + } else { + type = LLM_TYPE_9B; + } + } break; default: type = LLM_TYPE_UNKNOWN; } } break; @@ -3068,9 +3080,17 @@ bool llama_model::load_tensors(llama_model_loader & ml) { auto & layer = layers[i]; layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, llama_model_loader::TENSOR_NOT_REQUIRED); + layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, llama_model_loader::TENSOR_NOT_REQUIRED); - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); - layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0); + if (layer.wqkv == nullptr) { + layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd_head_k * n_head}, 0); + layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0); + layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, 0); + layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i), {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED); + layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", i), {n_embd_gqa}, llama_model_loader::TENSOR_NOT_REQUIRED); + layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i), {n_embd_gqa}, llama_model_loader::TENSOR_NOT_REQUIRED); + } layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); diff --git a/src/llama.cpp b/src/llama.cpp index 192b20a27..5760017e0 100644 --- a/src/llama.cpp +++ b/src/llama.cpp @@ -7215,17 +7215,30 @@ struct llm_build_context { struct ggml_tensor * Qcur = nullptr; struct ggml_tensor * Kcur = nullptr; struct ggml_tensor * Vcur = nullptr; - - cur = llm_build_lora_mm(lctx, ctx0, model.layers[il].wqkv, cur); - cb(cur, "wqkv", il); - - cur = ggml_add(ctx0, cur, model.layers[il].bqkv); - cb(cur, "bqkv", il); - - Qcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd, n_tokens, cur->nb[1], 0*sizeof(float)*(n_embd))); - Kcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd_gqa, n_tokens, cur->nb[1], 1*sizeof(float)*(n_embd))); - Vcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd_gqa, n_tokens, cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa))); - + if (model.type == LLM_TYPE_1_5B || model.type == LLM_TYPE_4B || model.type == LLM_TYPE_9B) { + Qcur = llm_build_lora_mm(lctx, ctx0, model.layers[il].wq, cur); + if (model.layers[il].bq) { + Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq); + } + Kcur = llm_build_lora_mm(lctx, ctx0, model.layers[il].wk, cur); + if (model.layers[il].bk) { + Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk); + } + Vcur = llm_build_lora_mm(lctx, ctx0, model.layers[il].wv, cur); + if (model.layers[il].bv) { + Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv); + } + } else { + cur = llm_build_lora_mm(lctx, ctx0, model.layers[il].wqkv, cur); + cb(cur, "wqkv", il); + if (model.layers[il].bqkv) { + cur = ggml_add(ctx0, cur, model.layers[il].bqkv); + cb(cur, "bqkv", il); + } + Qcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd, n_tokens, cur->nb[1], 0*sizeof(float)*(n_embd))); + Kcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd_gqa, n_tokens, cur->nb[1], 1*sizeof(float)*(n_embd))); + Vcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd_gqa, n_tokens, cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa))); + } cb(Qcur, "Qcur", il); cb(Kcur, "Kcur", il); cb(Vcur, "Vcur", il); diff --git a/tests/test-chat-template.cpp b/tests/test-chat-template.cpp index 4563f9dcb..e0314ae1d 100644 --- a/tests/test-chat-template.cpp +++ b/tests/test-chat-template.cpp @@ -175,6 +175,14 @@ int main(void) { /* .bos_token= */ "", /* .eos_token= */ "", }, + { + /* .name= */ "GLMEdge", + /* .template_str= */ "{% for item in messages %}{% if item['role'] == 'system' %}<|system|>\n{{ item['content'] }}{% elif item['role'] == 'user' %}<|user|>\n{{ item['content'] }}{% elif item['role'] == 'assistant' %}<|assistant|>\n{{ item['content'] }}{% endif %}{% endfor %}<|assistant|>", + /* .expected_output= */ "<|system|>\nYou are a helpful assistant<|user|>\nHello<|assistant|>\nHi there<|user|>\nWho are you<|assistant|>\n I am an assistant <|user|>\nAnother question<|assistant|>", + /* .expected_output_jinja= */ "<|system|>\nYou are a helpful assistant<|user|>\nHello<|assistant|>\nHi there<|user|>\nWho are you<|assistant|>\n I am an assistant <|user|>\nAnother question<|assistant|>", + /* .bos_token= */ "", + /* .eos_token= */ "", + }, { /* .name= */ "MiniCPM-3B-OpenHermes-2.5-v2-GGUF", /* .template_str= */ u8"{% for message in messages %}{% if message['role'] == 'user' %}{{'<用户>' + message['content'].strip() + ''}}{% else %}{{message['content'].strip()}}{% endif %}{% endfor %}", From ff227703d6d6e1888bdc7af6138514092ffcdb96 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Micha=C5=82=20Moskal?= Date: Sat, 1 Feb 2025 23:55:32 -0800 Subject: [PATCH 094/162] sampling : support for llguidance grammars (#10224) * initial porting of previous LLG patch * update for new APIs * build: integrate llguidance as an external project * use '%llguidance' as marker to enable llg lark syntax * add some docs * clarify docs * code style fixes * remove llguidance.h from .gitignore * fix tests when llg is enabled * pass vocab not model to llama_sampler_init_llg() * copy test-grammar-integration.cpp to test-llguidance.cpp * clang fmt * fix ref-count bug * build and run test * gbnf -> lark syntax * conditionally include llguidance test based on LLAMA_LLGUIDANCE flag * rename llguidance test file to test-grammar-llguidance.cpp * add gh action for llg test * align tests with LLG grammar syntax and JSON Schema spec * llama_tokenizer() in fact requires valid utf8 * update llg * format file * add $LLGUIDANCE_LOG_LEVEL support * fix whitespace * fix warning * include for INFINITY * add final newline * fail llama_sampler_init_llg() at runtime * Link gbnf_to_lark.py script; fix links; refer to llg docs for lexemes * simplify #includes * improve doc string for LLAMA_LLGUIDANCE * typo in merge * bump llguidance to 0.6.12 --- .github/workflows/build.yml | 30 + CMakeLists.txt | 1 + common/CMakeLists.txt | 28 + common/json-schema-to-grammar.cpp | 9 +- common/json-schema-to-grammar.h | 3 +- common/llguidance.cpp | 270 ++++++ common/sampling.cpp | 22 +- common/sampling.h | 3 + docs/llguidance.md | 51 ++ tests/CMakeLists.txt | 3 + tests/test-grammar-integration.cpp | 2 +- tests/test-grammar-llguidance.cpp | 1140 +++++++++++++++++++++++++ tests/test-json-schema-to-grammar.cpp | 2 +- 13 files changed, 1555 insertions(+), 9 deletions(-) create mode 100644 common/llguidance.cpp create mode 100644 docs/llguidance.md create mode 100644 tests/test-grammar-llguidance.cpp diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 7392f2bfe..8f9c82f87 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -302,6 +302,36 @@ jobs: cd build ctest -L main --verbose --timeout 900 + ubuntu-latest-llguidance: + runs-on: ubuntu-latest + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v4 + + - name: Dependencies + id: depends + run: | + sudo apt-get update + sudo apt-get install build-essential + + - name: Build + id: cmake_build + run: | + mkdir build + cd build + cmake .. \ + -DLLAMA_FATAL_WARNINGS=ON \ + -DLLAMA_LLGUIDANCE=ON + cmake --build . --config Release -j $(nproc) + + - name: Test + id: cmake_test + run: | + cd build + ctest -L main --verbose --timeout 900 + ubuntu-latest-cmake-rpc: runs-on: ubuntu-latest diff --git a/CMakeLists.txt b/CMakeLists.txt index 4c62d1788..74b48d24d 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -80,6 +80,7 @@ option(LLAMA_BUILD_SERVER "llama: build server example" ${LLAMA_STANDALONE}) # 3rd party libs option(LLAMA_CURL "llama: use libcurl to download model from an URL" OFF) +option(LLAMA_LLGUIDANCE "llama-common: include LLGuidance library for structured output in common utils" OFF) # Required for relocatable CMake package include(${CMAKE_CURRENT_SOURCE_DIR}/cmake/build-info.cmake) diff --git a/common/CMakeLists.txt b/common/CMakeLists.txt index 72f0915c1..e61015d2a 100644 --- a/common/CMakeLists.txt +++ b/common/CMakeLists.txt @@ -65,6 +65,7 @@ add_library(${TARGET} STATIC console.h json-schema-to-grammar.cpp json.hpp + llguidance.cpp log.cpp log.h minja.hpp @@ -91,6 +92,33 @@ if (LLAMA_CURL) set(LLAMA_COMMON_EXTRA_LIBS ${LLAMA_COMMON_EXTRA_LIBS} ${CURL_LIBRARY}) endif () +if (LLAMA_LLGUIDANCE) + include(ExternalProject) + set(LLGUIDANCE_SRC ${CMAKE_BINARY_DIR}/llguidance/source) + set(LLGUIDANCE_PATH ${LLGUIDANCE_SRC}/target/release) + ExternalProject_Add(llguidance_ext + GIT_REPOSITORY https://github.com/guidance-ai/llguidance + # v0.6.12: + GIT_TAG ced1c9023d47ec194fa977932d35ce65c2ebfc09 + PREFIX ${CMAKE_BINARY_DIR}/llguidance + SOURCE_DIR ${LLGUIDANCE_SRC} + BUILD_IN_SOURCE TRUE + CONFIGURE_COMMAND "" + BUILD_COMMAND cargo build --release + INSTALL_COMMAND "" + BUILD_BYPRODUCTS ${LLGUIDANCE_PATH}/libllguidance.a ${LLGUIDANCE_PATH}/llguidance.h + UPDATE_COMMAND "" + ) + target_compile_definitions(${TARGET} PUBLIC LLAMA_USE_LLGUIDANCE) + + add_library(llguidance STATIC IMPORTED) + set_target_properties(llguidance PROPERTIES IMPORTED_LOCATION ${LLGUIDANCE_PATH}/libllguidance.a) + add_dependencies(llguidance llguidance_ext) + + target_include_directories(${TARGET} PRIVATE ${LLGUIDANCE_PATH}) + set(LLAMA_COMMON_EXTRA_LIBS ${LLAMA_COMMON_EXTRA_LIBS} llguidance) +endif () + target_include_directories(${TARGET} PUBLIC .) target_compile_features (${TARGET} PUBLIC cxx_std_17) target_link_libraries (${TARGET} PRIVATE ${LLAMA_COMMON_EXTRA_LIBS} PUBLIC llama Threads::Threads) diff --git a/common/json-schema-to-grammar.cpp b/common/json-schema-to-grammar.cpp index 1f47e313e..3ebcc3d9f 100644 --- a/common/json-schema-to-grammar.cpp +++ b/common/json-schema-to-grammar.cpp @@ -991,7 +991,14 @@ public: } }; -std::string json_schema_to_grammar(const json & schema) { +std::string json_schema_to_grammar(const json & schema, bool force_gbnf) { +#ifdef LLAMA_USE_LLGUIDANCE + if (!force_gbnf) { + return "%llguidance {}\nstart: %json " + schema.dump(); + } +#else + (void)force_gbnf; +#endif // LLAMA_USE_LLGUIDANCE return build_grammar([&](const common_grammar_builder & callbacks) { auto copy = schema; callbacks.resolve_refs(copy); diff --git a/common/json-schema-to-grammar.h b/common/json-schema-to-grammar.h index ba4112cb9..62a3b0a44 100644 --- a/common/json-schema-to-grammar.h +++ b/common/json-schema-to-grammar.h @@ -5,7 +5,8 @@ #define JSON_ASSERT GGML_ASSERT #include "json.hpp" -std::string json_schema_to_grammar(const nlohmann::ordered_json & schema); +std::string json_schema_to_grammar(const nlohmann::ordered_json & schema, + bool force_gbnf = false); struct common_grammar_builder { std::function add_rule; diff --git a/common/llguidance.cpp b/common/llguidance.cpp new file mode 100644 index 000000000..7aa8ddd80 --- /dev/null +++ b/common/llguidance.cpp @@ -0,0 +1,270 @@ +#include "sampling.h" +#include "log.h" + +#ifdef LLAMA_USE_LLGUIDANCE + +# include "llguidance.h" +# include + +struct llama_sampler_llg { + const llama_vocab * vocab; + std::string grammar_kind; + std::string grammar_data; + LlgTokenizer * tokenizer; + LlgConstraint * grammar; + LlgMaskResult llg_res; + bool has_llg_res; +}; + +static LlgConstraint * llama_sampler_llg_new(LlgTokenizer * tokenizer, const char * grammar_kind, + const char * grammar_data) { + LlgConstraintInit cinit; + llg_constraint_init_set_defaults(&cinit, tokenizer); + const char * log_level = getenv("LLGUIDANCE_LOG_LEVEL"); + if (log_level && *log_level) { + cinit.log_stderr_level = atoi(log_level); + } + auto c = llg_new_constraint_any(&cinit, grammar_kind, grammar_data); + if (llg_get_error(c)) { + LOG_ERR("llg error: %s\n", llg_get_error(c)); + llg_free_constraint(c); + return nullptr; + } + return c; +} + +static const char * llama_sampler_llg_name(const llama_sampler * /*smpl*/) { + return "llguidance"; +} + +static void llama_sampler_llg_accept_impl(llama_sampler * smpl, llama_token token) { + auto * ctx = (llama_sampler_llg *) smpl->ctx; + if (ctx->grammar) { + LlgCommitResult res; + llg_commit_token(ctx->grammar, token, &res); + ctx->has_llg_res = false; + } +} + +static void llama_sampler_llg_apply(llama_sampler * smpl, llama_token_data_array * cur_p) { + auto * ctx = (llama_sampler_llg *) smpl->ctx; + if (ctx->grammar) { + if (!ctx->has_llg_res) { + if (llg_compute_mask(ctx->grammar, &ctx->llg_res) == 0) { + ctx->has_llg_res = true; + } else { + LOG_ERR("llg error: %s\n", llg_get_error(ctx->grammar)); + llg_free_constraint(ctx->grammar); + ctx->grammar = nullptr; + } + } + if (ctx->has_llg_res) { + if (ctx->llg_res.is_stop) { + for (size_t i = 0; i < cur_p->size; ++i) { + if (!llama_vocab_is_eog(ctx->vocab, cur_p->data[i].id)) { + cur_p->data[i].logit = -INFINITY; + } + } + } else { + const uint32_t * mask = ctx->llg_res.sample_mask; + for (size_t i = 0; i < cur_p->size; ++i) { + auto token = cur_p->data[i].id; + if ((mask[token / 32] & (1 << (token % 32))) == 0) { + cur_p->data[i].logit = -INFINITY; + } + } + } + } + } +} + +static void llama_sampler_llg_reset(llama_sampler * smpl) { + auto * ctx = (llama_sampler_llg *) smpl->ctx; + if (!ctx->grammar) { + return; + } + + auto * grammar_new = llama_sampler_llg_new(ctx->tokenizer, ctx->grammar_kind.c_str(), ctx->grammar_data.c_str()); + llg_free_constraint(ctx->grammar); + ctx->grammar = grammar_new; + ctx->has_llg_res = false; +} + +static llama_sampler * llama_sampler_llg_clone(const llama_sampler * smpl) { + const auto * ctx = (const llama_sampler_llg *) smpl->ctx; + + auto * result = llama_sampler_init_llg(ctx->vocab, nullptr, nullptr); + + // copy the state + { + auto * result_ctx = (llama_sampler_llg *) result->ctx; + + if (ctx->grammar) { + result_ctx->grammar_kind = ctx->grammar_kind; + result_ctx->grammar_data = ctx->grammar_data; + result_ctx->grammar = llg_clone_constraint(ctx->grammar); + result_ctx->tokenizer = llg_clone_tokenizer(ctx->tokenizer); + } + } + + return result; +} + +static void llama_sampler_llg_free(llama_sampler * smpl) { + const auto * ctx = (llama_sampler_llg *) smpl->ctx; + + if (ctx->grammar) { + llg_free_constraint(ctx->grammar); + llg_free_tokenizer(ctx->tokenizer); + } + + delete ctx; +} + +static llama_sampler_i llama_sampler_llg_i = { + /* .name = */ llama_sampler_llg_name, + /* .accept = */ llama_sampler_llg_accept_impl, + /* .apply = */ llama_sampler_llg_apply, + /* .reset = */ llama_sampler_llg_reset, + /* .clone = */ llama_sampler_llg_clone, + /* .free = */ llama_sampler_llg_free, +}; + +static size_t llama_sampler_llg_tokenize_fn(const void * user_data, const uint8_t * bytes, size_t bytes_len, + uint32_t * output_tokens, size_t output_tokens_len) { + const llama_vocab * vocab = (const llama_vocab *) user_data; + int r = 0; + try { + r = llama_tokenize(vocab, (const char *) bytes, bytes_len, (int32_t *) output_tokens, output_tokens_len, false, + true); + } catch (const std::exception & e) { + GGML_ABORT("llama_tokenize failed: %s\n", e.what()); + } + if (r < 0) { + return -r; + } + return r; +} + +static LlgTokenizer * llama_sampler_llg_new_tokenizer(const llama_vocab * vocab) { + // TODO store the tokenizer in the vocab somehow + static const llama_vocab * vocab_cache; + static LlgTokenizer * tokenizer_cache; + + if (vocab_cache == vocab) { + return llg_clone_tokenizer(tokenizer_cache); + } + + auto tok_eos = llama_vocab_eot(vocab); + if (tok_eos == LLAMA_TOKEN_NULL) { + tok_eos = llama_vocab_eos(vocab); + } + + size_t vocab_size = llama_vocab_n_tokens(vocab); + + auto token_lens = new uint32_t[vocab_size]; + // we typically have ~7 bytes per token; let's go on the safe side here + auto token_bytes_size = vocab_size * 16 + 1024 * 1024; + auto token_bytes = new uint8_t[token_bytes_size]; + + size_t offset = 0; + for (size_t i = 0; i < vocab_size; i++) { + size_t max_token = 1024; + if (token_bytes_size - offset < max_token) { + GGML_ABORT("token_bytes buffer too small\n"); + } + + llama_token token = i; + auto dp = (char *) token_bytes + offset; + auto size = llama_detokenize(vocab, &token, 1, dp, max_token, false, false); + if (size < 0) { + GGML_ABORT("llama_detokenize failed\n"); + } + if (size == 0) { + size = llama_detokenize(vocab, &token, 1, dp + 1, max_token - 1, false, true); + if (size < 0) { + GGML_ABORT("llama_detokenize failed\n"); + } + if (size != 0) { + *dp = '\xff'; // special token prefix marker + size += 1; + } + } + + token_lens[i] = size; + offset += size; + } + + LlgTokenizerInit tinit = { + /* .vocab_size = */ (uint32_t) vocab_size, + /* .tok_eos = */ (uint32_t) tok_eos, + /* .token_lens = */ token_lens, + /* .token_bytes = */ token_bytes, + /* .tokenizer_json = */ nullptr, + /* .tokenize_assumes_string = */ true, + /* .tokenize_fn = */ llama_sampler_llg_tokenize_fn, + /* .use_approximate_greedy_tokenize_fn = */ false, + /* .tokenize_user_data = */ vocab, + }; + + char error_buffer[1024]; + LlgTokenizer * tokenizer = llg_new_tokenizer(&tinit, error_buffer, sizeof(error_buffer)); + + delete[] token_bytes; + delete[] token_lens; + + if (tokenizer == nullptr) { + LOG_ERR("llg tokenizer error: %s\n", error_buffer); + return tokenizer; + } + + if (tokenizer_cache) { + llg_free_tokenizer(tokenizer_cache); + } + vocab_cache = vocab; + tokenizer_cache = tokenizer; + + return llg_clone_tokenizer(tokenizer_cache); +} + +llama_sampler * llama_sampler_init_llg(const llama_vocab * vocab, const char * grammar_kind, + const char * grammar_data) { + auto * ctx = new llama_sampler_llg; + + if (grammar_kind != nullptr && grammar_kind[0] != '\0') { + auto tokenizer = llama_sampler_llg_new_tokenizer(vocab); + *ctx = { + /* .vocab = */ vocab, + /* .grammar_kind = */ grammar_kind, + /* .grammar_data = */ grammar_data, + /* .tokenizer = */ tokenizer, + /* .grammar = */ llama_sampler_llg_new(tokenizer, grammar_kind, grammar_data), + /* .llg_res = */ {}, + /* .has_llg_res = */ false, + }; + } else { + *ctx = { + /* .vocab = */ vocab, + /* .grammar_kind = */ {}, + /* .grammar_data = */ {}, + /* .tokenizer = */ nullptr, + /* .grammar = */ nullptr, + /* .llg_res = */ {}, + /* .has_llg_res = */ false, + }; + } + + return new llama_sampler{ + /* .iface = */ &llama_sampler_llg_i, + /* .ctx = */ ctx, + }; +} + +#else + +llama_sampler * llama_sampler_init_llg(const llama_vocab *, const char *, const char *) { + LOG_WRN("llguidance (cmake -DLLAMA_LLGUIDANCE=ON) is not enabled"); + return nullptr; +} + +#endif // LLAMA_USE_LLGUIDANCE diff --git a/common/sampling.cpp b/common/sampling.cpp index bc7e49fdb..e4b21ca10 100644 --- a/common/sampling.cpp +++ b/common/sampling.cpp @@ -156,13 +156,25 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, co for (const auto & str : params.grammar_trigger_words) { trigger_words.push_back(str.word.c_str()); } + + struct llama_sampler * grmr; + if (params.grammar.compare(0, 11, "%llguidance") == 0) { +#ifdef LLAMA_USE_LLGUIDANCE + grmr = llama_sampler_init_llg(vocab, "lark", params.grammar.c_str()); +#else + GGML_ABORT("llguidance (cmake -DLLAMA_LLGUIDANCE=ON) is not enabled"); +#endif // LLAMA_USE_LLGUIDANCE + } else { + grmr = params.grammar_lazy + ? llama_sampler_init_grammar_lazy(vocab, params.grammar.c_str(), "root", + trigger_words.data(), trigger_words.size(), + params.grammar_trigger_tokens.data(), params.grammar_trigger_tokens.size()) + : llama_sampler_init_grammar(vocab, params.grammar.c_str(), "root"); + } + auto * result = new common_sampler { /* .params = */ params, - /* .grmr = */ params.grammar_lazy - ? llama_sampler_init_grammar_lazy(vocab, params.grammar.c_str(), "root", - trigger_words.data(), trigger_words.size(), - params.grammar_trigger_tokens.data(), params.grammar_trigger_tokens.size()) - : llama_sampler_init_grammar(vocab, params.grammar.c_str(), "root"), + /* .grmr = */ grmr, /* .chain = */ llama_sampler_chain_init(lparams), /* .prev = */ ring_buffer(std::max(32, params.n_prev)), /* .cur = */ {}, diff --git a/common/sampling.h b/common/sampling.h index 348911b18..2064421db 100644 --- a/common/sampling.h +++ b/common/sampling.h @@ -102,3 +102,6 @@ std::string common_sampler_type_to_str(enum common_sampler_type cnstr); std::vector common_sampler_types_from_names(const std::vector & names, bool allow_alt_names); std::vector common_sampler_types_from_chars(const std::string & chars); + +llama_sampler * llama_sampler_init_llg(const llama_vocab * vocab, + const char * grammar_kind, const char * grammar_data); diff --git a/docs/llguidance.md b/docs/llguidance.md new file mode 100644 index 000000000..792d20704 --- /dev/null +++ b/docs/llguidance.md @@ -0,0 +1,51 @@ +# LLGuidance Support in llama.cpp + +[LLGuidance](https://github.com/guidance-ai/llguidance) is a library for constrained decoding (also called constrained sampling or structured outputs) for Large Language Models (LLMs). Initially developed as the backend for the [Guidance](https://github.com/guidance-ai/guidance) library, it can also be used independently. + +LLGuidance supports JSON Schemas and arbitrary context-free grammars (CFGs) written in a [variant](https://github.com/guidance-ai/llguidance/blob/main/docs/syntax.md) of Lark syntax. It is [very fast](https://github.com/guidance-ai/jsonschemabench/tree/main/maskbench) and has [excellent](https://github.com/guidance-ai/llguidance/blob/main/docs/json_schema.md) JSON Schema coverage but requires the Rust compiler, which complicates the llama.cpp build process. + +## Building + +To enable LLGuidance support, build llama.cpp with the `LLAMA_LLGUIDANCE` option: + +```sh +cmake -B build -DLLAMA_LLGUIDANCE=ON +make -C build -j +``` + +This requires the Rust compiler and the `cargo` tool to be [installed](https://www.rust-lang.org/tools/install). + +## Interface + +There are no new command-line arguments or modifications to `common_params`. When enabled, grammars starting with `%llguidance` are passed to LLGuidance instead of the [current](../grammars/README.md) llama.cpp grammars. Additionally, JSON Schema requests (e.g., using the `-j` argument in `llama-cli`) are also passed to LLGuidance. + +For your existing GBNF grammars, you can use [gbnf_to_lark.py script](https://github.com/guidance-ai/llguidance/blob/main/scripts/gbnf_to_lark.py) to convert them to LLGuidance Lark-like format. + +## Performance + +Computing a "token mask" (i.e., the set of allowed tokens) for a llama3 tokenizer with 128k tokens takes, on average, 50μs of single-core CPU time for the [JSON Schema Bench](https://github.com/guidance-ai/jsonschemabench). The p99 time is 0.5ms, and the p100 time is 20ms. These results are due to the lexer/parser split and several [optimizations](https://github.com/guidance-ai/llguidance/blob/main/docs/optimizations.md). + +## JSON Schema + +LLGuidance adheres closely to the JSON Schema specification. For example: + +- `additionalProperties` defaults to `true`, unlike current grammars, though you can set `"additionalProperties": false` if needed. +- any whitespace is allowed. +- The definition order in the `"properties": {}` object is maintained, regardless of whether properties are required (current grammars always puts required properties first). + +Unsupported schemas result in an error message—no keywords are silently ignored. + +## Why Not Reuse GBNF Format? + +GBNF lacks the concept of a lexer. + +Most programming languages, including JSON, use a two-step process: a lexer (built with regular expressions) converts a byte stream into lexemes, which are then processed by a CFG parser. This approach is faster because lexers are cheaper to evaluate, and there is ~10x fewer lexemes than bytes. +LLM tokens often align with lexemes, so the parser is engaged in under 0.5% of tokens, with the lexer handling the rest. + +However, the user has to provide the distinction between lexemes and CFG symbols. In [Lark](https://github.com/lark-parser/lark), lexeme names are uppercase, while CFG symbols are lowercase. +The [gbnf_to_lark.py script](https://github.com/guidance-ai/llguidance/blob/main/scripts/gbnf_to_lark.py) can often take care of this automatically. +See [LLGuidance syntax docs](https://github.com/guidance-ai/llguidance/blob/main/docs/syntax.md#terminals-vs-rules) for more details. + +## Error Handling + +Errors are currently printed to `stderr`, and generation continues. Improved error handling may be added in the future. diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt index 40f83ff0d..7a158d602 100644 --- a/tests/CMakeLists.txt +++ b/tests/CMakeLists.txt @@ -86,6 +86,9 @@ llama_test(test-tokenizer-0 NAME test-tokenizer-0-qwen2 ARGS ${CMAKE llama_test(test-tokenizer-0 NAME test-tokenizer-0-refact ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-refact.gguf) llama_test(test-tokenizer-0 NAME test-tokenizer-0-starcoder ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-starcoder.gguf) +if (LLAMA_LLGUIDANCE) + llama_target_and_test(test-grammar-llguidance.cpp ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-llama-bpe.gguf) +endif () if (NOT WIN32) # these tests are disabled on Windows because they use internal functions not exported with LLAMA_API diff --git a/tests/test-grammar-integration.cpp b/tests/test-grammar-integration.cpp index 288e08f51..890608648 100644 --- a/tests/test-grammar-integration.cpp +++ b/tests/test-grammar-integration.cpp @@ -129,7 +129,7 @@ static void test_grammar(const std::string & test_desc, const std::string & gram test(test_desc + ". Grammar: " + grammar_str, grammar_str, passing_strings, failing_strings); } static void test_schema(const std::string & test_desc, const std::string & schema_str, const std::vector & passing_strings, const std::vector & failing_strings) { - test(test_desc + ". Schema: " + schema_str, json_schema_to_grammar(json::parse(schema_str)), passing_strings, failing_strings); + test(test_desc + ". Schema: " + schema_str, json_schema_to_grammar(json::parse(schema_str), true), passing_strings, failing_strings); } static void test_simple_grammar() { diff --git a/tests/test-grammar-llguidance.cpp b/tests/test-grammar-llguidance.cpp new file mode 100644 index 000000000..8b696006b --- /dev/null +++ b/tests/test-grammar-llguidance.cpp @@ -0,0 +1,1140 @@ +#ifdef NDEBUG +# undef NDEBUG +#endif + +#include "unicode.h" +#include "sampling.h" + +#include +#include +#include + +static const llama_vocab * vocab; + +static bool match_string(const std::string & input, llama_sampler * grammar) { + llama_sampler_reset(grammar); + auto tokens = common_tokenize(vocab, input, false, false); + + auto n_vocab = llama_vocab_n_tokens(vocab); + + std::vector cur; + cur.reserve(n_vocab); + for (llama_token token_id = 0; token_id < (llama_token) n_vocab; token_id++) { + cur.emplace_back(llama_token_data{ token_id, 0.0f, 0.0f }); + } + auto tok_arr = llama_token_data_array{ cur.data(), cur.size(), -1, false }; + + for (const auto token : tokens) { + for (llama_token token_id = 0; token_id < (llama_token) n_vocab; token_id++) { + cur[token_id].logit = 0.0f; + } + llama_sampler_apply(grammar, &tok_arr); + if (cur[token].logit < 0.0f) { + return false; + } + llama_sampler_accept(grammar, token); + } + + // do we allow EOS at the end? if so the grammar is accepting + + auto tok_eos = llama_vocab_eot(vocab); + if (tok_eos == LLAMA_TOKEN_NULL) { + tok_eos = llama_vocab_eos(vocab); + } + + cur[tok_eos].logit = 0.0f; + llama_sampler_apply(grammar, &tok_arr); + + return cur[tok_eos].logit >= 0.0f; +} + +static void test(const std::string & test_desc, const std::string & grammar_str, + const std::vector & passing_strings, const std::vector & failing_strings) { + fprintf(stderr, "⚫ Testing %s\n%s\n", test_desc.c_str(), grammar_str.c_str()); + fflush(stderr); + + auto * grammar = llama_sampler_init_llg(vocab, "lark", grammar_str.c_str()); + + fprintf(stderr, " 🔵 Valid strings:\n"); + + // Passing strings + for (const auto & test_string : passing_strings) { + fprintf(stderr, " \"%s\" ", test_string.c_str()); + fflush(stderr); + + bool matched = match_string(test_string, grammar); + + if (!matched) { + fprintf(stderr, "❌ (failed to match)\n"); + + // DEBUG: Write strings to files so that we can analyze more easily with gbnf-validator program to see exactly where things failed. + // DEBUG: Write the grammar_str to test-grammar-integration.grammar.gbnf + FILE * grammar_file = fopen("test-grammar-integration.grammar.gbnf", "w"); + if (grammar_file) { + fprintf(grammar_file, "%s", grammar_str.c_str()); + fclose(grammar_file); + } + + // DEBUG: Write the test string to test-grammar-integration.string.txt + FILE * string_file = fopen("test-grammar-integration.string.txt", "w"); + if (string_file) { + fprintf(string_file, "%s", test_string.c_str()); + fclose(string_file); + } + + fprintf(stderr, + "\n NOTE: Debug grammar file generated. To analyze this failure in detail, run the following " + "command: ./llama-gbnf-validator test-grammar-integration.grammar.gbnf " + "test-grammar-integration.string.txt\n\n"); + } else { + fprintf(stdout, "✅︎\n"); + } + + assert(matched); + } + + fprintf(stderr, " 🟠 Invalid strings:\n"); + + // Failing strings + for (const auto & test_string : failing_strings) { + fprintf(stderr, " \"%s\" ", test_string.c_str()); + fflush(stderr); + + bool matched = match_string(test_string, grammar); + + if (matched) { + fprintf(stderr, "❌ (incorrectly matched)\n"); + } else { + fprintf(stdout, "✅︎\n"); + } + assert(!matched); + } + + llama_sampler_free(grammar); +} + +static void test_grammar(const std::string & test_desc, const std::string & grammar_str, + const std::vector & passing_strings, + const std::vector & failing_strings) { + test(test_desc + ". Grammar: " + grammar_str, grammar_str, passing_strings, failing_strings); +} + +static void test_schema(const std::string & test_desc, const std::string & schema_str, + const std::vector & passing_strings, + const std::vector & failing_strings) { + test(test_desc + ". Schema: " + schema_str, "%llguidance {}\nstart: %json " + schema_str, passing_strings, + failing_strings); +} + +static void test_simple_grammar() { + test_schema("min 0", + R"""({ + "type": "integer", + "minimum": 0 + })""", + // Passing strings + { + "0", + "10", + "12", + "10000", + }, + // Failing strings + { + "-1", + "-10", + "-10000", + "-100000000000000000000000000000000", + // "100000000000000000000000000000000", + "00", + "01", + "-0", + }); + test_schema("min 2", + // Schema + R"""({ + "type": "integer", + "minimum": 2 + })""", + // Passing strings + { + "2", + "3", + "4", + "10", + "20", + "1234567890000000", + }, + // Failing strings + { + "0", "1", "-1", "-100", "0", "1", "01", "02", + // "12345678900000000", + }); + test_schema("min 456", + R"""({ + "type": "integer", + "minimum": 456 + })""", + // Passing strings + { + "456", + "4560", + "457", + "460", + "500", + }, + // Failing strings + { + "455", + "356", + "50", + "050", + "-1", + "-456", + }); + test_schema("min -123", + R"""({ + "type": "integer", + "minimum": -123 + })""", + // Passing strings + { + "-123", + "-122", + "-11", + "-1", + "0", + "1", + "123", + "1234", + "2345", + }, + // Failing strings + { + "-1234", + "-124", + }); + + test_schema("max 9999", + // Schema + R"""({ + "type": "integer", + "maximum": 9999 + })""", + // Passing strings + { + "-99999", + "0", + "9999", + }, + // Failing strings + { + "10000", + "99991", + }); + test_schema("max -9999", + // Schema + R"""({ + "type": "integer", + "maximum": -9999 + })""", + // Passing strings + { + "-10000", + "-9999", + }, + // Failing strings + { + "-9998", + "0", + "9999", + }); + test_schema("min 5 max 30", + // Schema + R"""({ + "type": "integer", + "minimum": 5, + "maximum": 30 + })""", + // Passing strings + { + "5", + "10", + "30", + }, + // Failing strings + { + "05", + "4", + "-1", + "31", + "123", + "0123", + }); + test_schema("min -1 max 1", + R"""({ + "type": "integer", + "minimum": -1, + "maximum": 1 + })""", + // Passing strings + { + "-1", + "0", + "1", + }, + // Failing strings + { + "-11", + "-10", + "-2", + "2", + "10", + "11", + }); + test_schema("min -123 max 42", + R"""({ + "type": "integer", + "minimum": -123, + "maximum": 42 + })""", + // Passing strings + { + "-123", + "-122", + "-13", + "-11", + "-2", + "-1", + "0", + "1", + "5", + "10", + "39", + "40", + "42", + }, + // Failing strings + { + "-0123", + "-124", + "-1123", + "-200", + "43", + "123", + "0123", + }); + test_schema("exclusive min / max", + // Schema + R"""({ + "type": "integer", + "exclusiveMinimum": 0, + "exclusiveMaximum": 10000 + })""", + // Passing strings + { + "1", + "9999", + }, + // Failing strings + { + "0", + "01", + "10000", + "99999", + }); + + // Test case for a simple grammar + test_grammar("simple grammar", + R"""( + start: expr + expr: term ("+" term)* + term: number + number: /[0-9]+/ )""", + // Passing strings + { + "42", + "1+2+3+4+5", + "123+456", + }, + // Failing strings + { + "+", + "/ 3", + "1+2+3+4+5+", + "12a45", + }); +} + +static void test_complex_grammar() { + // Test case for a more complex grammar, with both failure strings and success strings + test_grammar("medium complexity grammar", + // Grammar + R"""( + start: expression + expression: term ws (("+"|"-") ws term)* + term: factor ws (("*"|"/") ws factor)* + factor: number | variable | "(" expression ")" | function-call + number: /[0-9]+/ + variable: /[a-zA-Z_][a-zA-Z0-9_]*/ + function-call: variable ws "(" (expression ("," ws expression)*)? ")" + ws: /[ \t\n\r]?/ )""", + // Passing strings + { "42", + "1*2*3*4*5", + "x", + "x+10", + "x1+y2", + "(a+b)*(c-d)", + "func()", + "func(x,y+2)", + "a*(b+c)-d/e", + "f(g(x),h(y,z))", + "x + 10", + "x1 + y2", + "(a + b) * (c - d)", + "func()", + "func(x, y + 2)", + "a * (b + c) - d / e", + "f(g(x), h(y, z))", + "123+456", + "123*456*789-123/456+789*123", + "123+456*789-123/456+789*123-456/789+123*456-789/123+456*789-123/456+789*123-456" }, + // Failing strings + { + "+", + "/ 3x", + "x + + y", + "a * / b", + "func(,)", + "func(x y)", + "(a + b", + "x + y)", + "a + b * (c - d", + "42 +", + "x +", + "x + 10 +", + "(a + b) * (c - d", + "func(", + "func(x, y + 2", + "a * (b + c) - d /", + "f(g(x), h(y, z)", + "123+456*789-123/456+789*123-456/789+123*456-789/123+456*789-123/456+789*123-456/", + }); +} + +static void test_special_chars() { + // A collection of tests to exercise special characters such as "." + test_grammar("special characters", + // Grammar + R"""( + start: /.../ "abc" /.../ + )""", + // Passing strings + { "abcabcabc", "aaaabcccc", + // NOTE: Also ensures that multi-byte characters still count as a single character + "🔵🟠✅abc❌🟠🔵" }, + // Failing strings + { "aaabcccc", "aaaaabcccc", "aaaabccc", "aaaabccccc", "🔵🟠✅❌abc❌✅🟠🔵", "🔵🟠abc🟠🔵" }); +} + +static void test_quantifiers() { + // A collection of tests to exercise * + and ? quantifiers + + test_grammar( + "* quantifier", + // Grammar + R"""(start: "a"*)""", + // Passing strings + { "", "a", "aaaaa", "aaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa" }, + // Failing strings + { "b", "ab", "aab", "ba", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaab" }); + test_grammar( + "+ quantifier", + // Grammar + R"""(start: "a"+)""", + // Passing strings + { "a", "aaaaa", "aaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa" }, + // Failing strings + { "", "b", "ab", "aab", "ba", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaab" }); + test_grammar("? quantifier", + // Grammar + R"""(start: "a"?)""", + // Passing strings + { "", "a" }, + // Failing strings + { + "b", + "ab", + "aa", + "ba", + }); + test_grammar("mixed quantifiers", + // Grammar + R"""( + start: cons+ vowel* cons? (vowel cons)* + vowel: /[aeiouy]/ + cons: /[bcdfghjklmnpqrstvwxyz]/ + )""", + // Passing strings + { + "yes", + "no", + "noyes", + "crwth", + "four", + "bryyyy", + }, + // Failing strings + { + "yess", + "yesno", + "forty", + "catyyy", + }); + test_grammar("simple exact repetition", + // Grammar + R"""( + start: /[ab]{4}/ + )""", + // Passing strings + { + "aaaa", + "bbbb", + "abab", + }, + // Failing strings + { + "a", + "b", + "aaaaa", + }); + test_grammar("simple min repetition", + // Grammar + R"""( + start: /[ab]{4,}/ + )""", + // Passing strings + { + "aaaa", + "aaaaab", + "bbbb", + "ababab", + }, + // Failing strings + { + "", + "aba", + }); + test_grammar("simple max repetition", + // Grammar + R"""( + start: /[ab]{0,4}/ + )""", + // Passing strings + { + "", + "a", + "aa", + "aaa", + "aaab", + }, + // Failing strings + { + "aaaaa", + }); + // test_grammar("min / max repetition", + // // Grammar + // R"""( + // start: ("0x" /[A-F0-9]{2}/ " "?){3,5} + // )""", + // // Passing strings + // { + // "0xFF 0x12 0xAB", + // "0xFF 0x12 0xAB 0x00 0x00", + // }, + // // Failing strings + // { + // "", + // "0xFF", + // "0xFF 0x12", + // "0xFF 0x12 0xAB 0x00 0x00 0x00", + // }); +} + +static void test_json_schema() { + // Note that this is similar to the regular grammar tests, + // but we convert each json schema to a grammar before parsing. + // Otherwise, this test structure is the same. + + test_schema("empty schema (object)", + // Schema + R"""( + {"type":"object"} + )""", + // Passing strings + { + R"""({})""", + R"""({"foo": "bar"})""", + }, + // Failing strings + { + "", + "[]", + "null", + R"""("")""", + "true", + }); + + test_schema( + "exotic formats (list)", + // Schema + R"""({ + "items": [ + { "format": "date" }, + { "format": "uuid" }, + { "format": "time" }, + { "format": "date-time" } + ] + })""", + // Passing strings + { + // "{}", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it? + // "[]", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it? + R"""(["2012-04-23", "12345678-1234-1234-1234-1234567890ab", "18:25:43.511Z", "2012-04-23T18:25:43.511Z"])""", + //R"""(["2012-04-23","12345678-1234-1234-1234-1234567890ab"])""", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it? + //R"""({"foo": "bar"})""", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it? + }, + // Failing strings + { + R"""(["foo", "bar"])""", + R"""(["12345678-1234-1234-1234-1234567890ab"])""", + }); + + test_schema("string", + // Schema + R"""({ + "type": "string" + })""", + // Passing strings + { + R"""("foo")""", + R"""("bar")""", + R"""("")""", + }, + // Failing strings + { + R"""({})""", + R"""("foo": "bar")""", + }); + + test_schema("string w/ min length 1", + // Schema + R"""({ + "type": "string", + "minLength": 1 + })""", + // Passing strings + { + R"""("foo")""", + R"""("bar")""", + }, + // Failing strings + { + R"""("")""", + R"""({})""", + R"""("foo": "bar")""", + }); + + test_schema("string w/ min length 3", + // Schema + R"""({ + "type": "string", + "minLength": 3 + })""", + // Passing strings + { + R"""("foo")""", + R"""("bar")""", + R"""("foobar")""", + }, + // Failing strings + { + R"""("")""", + R"""("f")""", + R"""("fo")""", + }); + + test_schema("string w/ max length", + // Schema + R"""({ + "type": "string", + "maxLength": 3 + })""", + // Passing strings + { + R"""("foo")""", + R"""("bar")""", + R"""("")""", + R"""("f")""", + R"""("fo")""", + }, + // Failing strings + { + R"""("foobar")""", + }); + + test_schema("string w/ min & max length", + // Schema + R"""({ + "type": "string", + "minLength": 1, + "maxLength": 4 + })""", + // Passing strings + { + R"""("foo")""", + R"""("bar")""", + R"""("f")""", + R"""("barf")""", + }, + // Failing strings + { + R"""("")""", + R"""("barfo")""", + R"""("foobar")""", + }); + + test_schema("boolean", + // Schema + R"""({ + "type": "boolean" + })""", + // Passing strings + { + "true", + "false", + }, + // Failing strings + { + R"""("")""", + R"""("true")""", + R"""(True)""", + R"""(FALSE)""", + }); + + test_schema("integer", + // Schema + R"""({ + "type": "integer" + })""", + // Passing strings + { + R"""(0)""", + R"""(12345)""", + R"""(1234567890123456)""", + }, + // Failing strings + { + R"""()""", + R"""(01)""", + R"""(007)""", + R"""(12345678901234567 )""", + }); + + test_schema("string const", + // Schema + R"""({ + "const": "foo" + })""", + // Passing strings + { + R"""("foo")""", + }, + // Failing strings + { + R"""(foo)""", + R"""("bar")""", + }); + + test_schema("non-string const", + // Schema + R"""({ + "const": true + })""", + // Passing strings + { + R"""(true)""", + }, + // Failing strings + { + R"""()""", + R"""(foo)""", + R"""("true")""", + }); + + test_schema("non-string const", + // Schema + R"""({ + "enum": ["red", "amber", "green", null, 42, ["foo"]] + })""", + // Passing strings + { + R"""("red")""", + R"""(null)""", + R"""(42)""", + R"""(["foo"])""", + }, + // Failing strings + { + R"""()""", + R"""(420)""", + R"""(true)""", + R"""(foo)""", + }); + + test_schema("simple pattern", + // Schema + R"""({ + "pattern": "^[a-zA-Z0-9_-]*$" + })""", + // Passing strings + { + R"""("")""", + R"""("He_llo-12")""", + }, + // Failing strings + { + R"""("!")""", + R"""("Hello World")""", + }); + + test_schema("pattern with escapes", + // Schema + R"""({ + "pattern": "^a\\^\\$\\.\\[\\]\\(\\)\\|\\{\\}\\*\\+\\?b$" + })""", + // Passing strings + { + R"""("a^$.[]()|{}*+?b")""", + }, + // Failing strings + { + R"""("ab")""", + }); + + test_schema("", + // Schema + R"""( + { + "type": ["array", "null"], + "items": { "type": "string" } + } + )""", + // Passing strings + { + "null", + "[]", + "[\"123\"]", + "[\"foo\", \"bar\"]", + }, + // Failing strings + { + "", + "[123]", + "\"foo\"", + "[\"foo\", 42]", + }); + + test_schema("min+max items", + // Schema + R"""({ + "items": { + "type": ["number", "integer"] + }, + "minItems": 3, + "maxItems": 5 + })""", + // Passing strings + { + R"""([1, 2, 3])""", + R"""([1, 2, 3, 4])""", + R"""([1, 2, 3, 4, 5])""", + // this is in fact correct; keyword do not apply if the type is wrong + R"""(1)""", + }, + // Failing strings + { + R"""([1, 2])""", + R"""([1, 2, 3, 4, 5, 6])""", + }); + + // Properties (from: https://json-schema.org/understanding-json-schema/reference/object#properties) + test_schema("object properties", + // Schema + R"""({ + "type": "object", + "properties": { + "number": { "type": "number" }, + "street_name": { "type": "string" }, + "street_type": { "enum": ["Street", "Avenue", "Boulevard"] } + }, + "additionalProperties": false + })""", + // Passing strings + { + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue"})""", + // "By default, leaving out properties is valid" + R"""({ "street_name": "Pennsylvania" })""", + R"""({ "number": 1600, "street_name": "Pennsylvania" })""", + // "By extension, even an empty object is valid" + R"""({})""", + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue" })""", + }, + // Failing strings + { + // Change datatype from number to string + R"""({ "number": "1600", "street_name": "Pennsylvania", "street_type":"Avenue"})""", + // Reorder properties + R"""({ "street_name": "Pennsylvania", "number": 1600 })""", + // Reorder properties + R"""({ "number": "1600", "street_name": "Pennsylvania", "street_type":"Avenue"})""", + // Additional properties set to false + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue", "direction":"NW"})""", + + }); + + test_schema("additional properties can't override other properties", + R"""({ + "properties": { + "a": {"type": "integer"}, + "b": {"type": "integer"} + }, + "additionalProperties": true + })""", + // Passing strings + { + R"""({"a": 42})""", + R"""({"c": ""})""", + R"""({"a": 42, "c": ""})""", + R"""({"a_": ""})""", + }, + // Failing strings + { + R"""()""", + R"""({"a": ""})""", + R"""({"a": "", "b": ""})""", + }); + + // Properties (from: https://json-schema.org/understanding-json-schema/reference/object#properties) + test_schema("object properties, additionalProperties: true", + // Schema + R"""({ + "type": "object", + "properties": { + "number": { "type": "number" }, + "street_name": { "type": "string" }, + "street_type": { "enum": ["Street", "Avenue", "Boulevard"] } + }, + "additionalProperties": true + })""", + // Passing strings + { + // "By extension, even an empty object is valid" + R"""({})""", + R"""({"number":1600,"street_name":"Pennsylvania","street_type":"Avenue"})""", + // "By default, leaving out properties is valid" + R"""({ "street_name": "Pennsylvania" })""", + R"""({ "number": 1600, "street_name": "Pennsylvania" })""", + // "By default, providing additional properties is valid" + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue", "direction":"NW"})""", + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue" })""", + }, + // Failing strings + { + // Change datatype from number to string + R"""({ "number": "1600", "street_name": "Pennsylvania", "street_type":"Avenue"})""", + // Reorder properties + R"""({ "street_name": "Pennsylvania", "number": 1600, "street_type":"Avenue"})""", + }); + + // Additional properties: false + test_schema( + "required + optional props each in original order", + // Schema + R"""({ + "type": "object", + "properties": { + "number": { "type": "number" }, + "street_name": { "type": "string" }, + "street_type": { "enum": ["Street", "Avenue", "Boulevard"] } + }, + "additionalProperties": false + })""", + // Passing strings + { + R"""({ "street_name": "Pennsylvania" })""", + R"""({ "number": 1600, "street_type":"Avenue"})""", + R"""({ "number": 1600, "street_name": "Pennsylvania" })""", + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue"})""", + // Spaces are permitted around enum values + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue" })""", + }, + // Failing strings + { + // Reorder properties + R"""({ "street_type": "Avenue", "number": 1600 })""", + // Add "direction" + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue", "direction": "NW" })""", + }); + + test_schema("required + optional props each in original order", + // Schema + R"""({ + "properties": { + "b": {"type": "string"}, + "a": {"type": "string"}, + "d": {"type": "string"}, + "c": {"type": "string"} + }, + "required": ["a", "b"], + "additionalProperties": false + })""", + // Passing strings + { + R"""({"b": "foo", "a": "bar"})""", + R"""({"b":"foo","a":"bar","d":"qux"})""", + R"""({"b":"foo", "a":"bar", "d":"qux", "c":"baz"})""", + }, + // Failing strings + { + R"""({"a": "foo", "b": "bar"})""", + R"""({"b": "bar"})""", + R"""({"a": "foo", "c": "baz"})""", + R"""({"a":"foo", "b":"bar", "c":"baz", "d":"qux"})""", + }); + + // NOTE: Example from https://json-schema.org/learn/getting-started-step-by-step#define-required-properties + test_schema( + "required props", + // Schema + R"""({ + "$schema": "https://json-schema.org/draft/2020-12/schema", + "$id": "https://example.com/product.schema.json", + "title": "Product", + "description": "A product from Acme's catalog", + "type": "object", + "properties": { + "productId": { + "description": "The unique identifier for a product", + "type": "integer" + }, + "productName": { + "description": "Name of the product", + "type": "string" + }, + "price": { + "description": "The price of the product", + "type": "number", + "exclusiveMinimum": 0 + }, + "tags": { + "description": "Tags for the product", + "type": "array", + "items": { + "type": "string" + }, + "minItems": 1, + "DISABLED_uniqueItems": true + }, + "dimensions": { + "type": "object", + "properties": { + "length": { + "type": "number" + }, + "width": { + "type": "number" + }, + "height": { + "type": "number" + } + }, + "required": [ "length", "width", "height" ] + } + }, + "required": [ "productId", "productName", "price" ] + })""", + // Passing strings + { + R"""({"productId": 1, "productName": "A green door", "price": 12.50})""", + R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": ["home", "green"]})""", + R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": ["home", "green"], "dimensions": {"length": 785, "width": 250.5, "height": -0.359}})""", + }, + // Failing strings + { + R"""({})""", // Missing all required properties + R"""({"productName": "A green door", "price": 12.50, "productId": 1})""", // Out of order properties + // `exclusiveMinimum` is OK for llg + R"""({"productId": 1, "productName": "A green door", "price": -12.50})""", + R"""({"productId": 1, "productName": "A green door"})""", // Missing required property (price) + R"""({"productName": "A green door", "price": 12.50})""", // Missing required property (productId) + R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": []})""", // tags is empty, but minItems is 1 + R"""({"productId": 1, "productName": "A green door", "price": 12.50, "dimensions": {"length": 785, "width": 250.5, "height": -0.359}, "tags": ["home", "green"]})""", // Tags and dimensions are out of order + // TODO: The following line should fail, but currently it passes. `uniqueItems` is not supported, as it would likely be too difficult to implement. + // R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": ["home", "green", "home"]})""", + }); +} + +int main(int argc, const char ** argv) { + fprintf(stdout, "Running llguidance integration tests...\n"); + + if (argc != 2) { + fprintf(stderr, "Usage: %s \n", argv[0]); + return 1; + } + + const char * vocab_file = argv[1]; + + fprintf(stderr, "reading vocab from: '%s'\n", vocab_file); + + llama_model * model; + llama_context * ctx; + + llama_backend_init(); + + // load the vocab + { + auto mparams = llama_model_default_params(); + + mparams.vocab_only = true; + + model = llama_model_load_from_file(vocab_file, mparams); + + if (model == NULL) { + fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, vocab_file); + return 1; + } + + // needed? + auto cparams = llama_context_default_params(); + + ctx = llama_init_from_model(model, cparams); + + if (ctx == NULL) { + fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, vocab_file); + llama_model_free(model); + return 1; + } + } + + vocab = llama_model_get_vocab(model); + + test_simple_grammar(); + test_complex_grammar(); + test_special_chars(); + test_quantifiers(); + test_json_schema(); + fprintf(stdout, "All tests passed.\n"); + return 0; +} diff --git a/tests/test-json-schema-to-grammar.cpp b/tests/test-json-schema-to-grammar.cpp index 9d2db91f5..f38994c92 100755 --- a/tests/test-json-schema-to-grammar.cpp +++ b/tests/test-json-schema-to-grammar.cpp @@ -1246,7 +1246,7 @@ int main() { test_all("C++", [](const TestCase & tc) { try { - tc.verify(json_schema_to_grammar(nlohmann::ordered_json::parse(tc.schema))); + tc.verify(json_schema_to_grammar(nlohmann::ordered_json::parse(tc.schema), true)); tc.verify_status(SUCCESS); } catch (const std::runtime_error & ex) { fprintf(stderr, "Error: %s\n", ex.what()); From 69804487e0b10f2c5c06316f0ac0eb6ada68433f Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Sun, 2 Feb 2025 09:10:15 +0000 Subject: [PATCH 095/162] Fix exotic ci env that lacks ostringstream::str (#11581) --- common/minja.hpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/common/minja.hpp b/common/minja.hpp index bcb5a0824..e77eb69d5 100644 --- a/common/minja.hpp +++ b/common/minja.hpp @@ -824,7 +824,7 @@ public: LoopControlType control_type; LoopControlException(const std::string & message, LoopControlType control_type) : std::runtime_error(message), control_type(control_type) {} LoopControlException(LoopControlType control_type) - : std::runtime_error((std::ostringstream() << (control_type == LoopControlType::Continue ? "continue" : "break") << " outside of a loop").str()), + : std::runtime_error((control_type == LoopControlType::Continue ? "continue" : "break") + std::string(" outside of a loop")), control_type(control_type) {} }; From bfcce4d693617ec843d0b2510f6ee16e6bc6720d Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Sun, 2 Feb 2025 09:25:38 +0000 Subject: [PATCH 096/162] `tool-call`: support Command R7B (+ return tool_plan "thoughts" in API) (#11585) * `tool-call`: support Command R7B (w/ tool_plan return) * `tool-call`: cleaner preservation of tokens + warn when likely bad chat template override * `tool-call`: test cleanup / handle lazy grammar triggers --- common/chat.cpp | 86 +++++++++- common/chat.hpp | 2 + common/common.h | 3 + examples/server/README.md | 22 ++- examples/server/server.cpp | 52 ++++-- examples/server/utils.hpp | 1 + ...AI-c4ai-command-r7b-12-2024-tool_use.jinja | 156 ++++++++++++++++++ tests/test-chat.cpp | 154 +++++++++++++---- 8 files changed, 420 insertions(+), 56 deletions(-) create mode 100644 models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja diff --git a/common/chat.cpp b/common/chat.cpp index 58db12af9..f87583d85 100644 --- a/common/chat.cpp +++ b/common/chat.cpp @@ -16,6 +16,7 @@ std::string common_chat_format_name(common_chat_format format) { case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2: return "Functionary v3.2"; case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1: return "Functionary v3.1 Llama 3.1"; case COMMON_CHAT_FORMAT_HERMES_2_PRO: return "Hermes 2 Pro"; + case COMMON_CHAT_FORMAT_COMMAND_R7B: return "Command R7B"; default: throw std::runtime_error("Unknown chat format"); } @@ -317,6 +318,79 @@ static common_chat_msg common_chat_parse_mistral_nemo(const std::string & input) return parse_prefixed_json_tool_call_array(input, "[TOOL_CALLS]"); } +static common_chat_params common_chat_params_init_command_r7b(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { + common_chat_params data; + data.grammar_lazy = inputs.tool_choice != "required"; + data.grammar = build_grammar([&](const common_grammar_builder & builder) { + auto schemas = json::array(); + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool["function"]; + schemas.push_back({ + {"type", "object"}, + {"properties", { + {"tool_call_id", { + {"type", "string"}, + // Command-R's template expects an integer string. + {"pattern", "^[0-9]{1,10}$"}, + }}, + {"tool_name", { + {"type", "string"}, + {"const", function["name"]}, + }}, + {"parameters", function["parameters"]}, + }}, + {"required", json::array({"tool_call_id", "tool_name", "parameters"})}, + }); + }); + auto schema = json { + {"type", "array"}, + {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}}, + {"minItems", 1}, + }; + if (!inputs.parallel_tool_calls) { + schema["maxItems"] = 1; + } + builder.add_rule("root", "\"<|START_ACTION|>\" " + builder.add_schema("tool_calls", schema) + " \"<|END_ACTION|>\""); + }, grammar_options); + data.grammar_triggers.push_back({"<|START_ACTION|>", /* .at_start = */ false}); + data.preserved_tokens = { + "<|START_RESPONSE|>", + "<|END_RESPONSE|>", + "<|START_THINKING|>", + "<|END_THINKING|>", + "<|END_ACTION|>", + }; + data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.format = COMMON_CHAT_FORMAT_COMMAND_R7B; + return data; +} +static common_chat_msg common_chat_parse_command_r7b(const std::string & input) { + static std::regex response_regex("<\\|START_RESPONSE\\|>(.*?)<\\|END_RESPONSE\\|>"); + static std::regex thought_action_regex("<\\|START_THINKING\\|>([\\s\\S\\n\\r]*?)<\\|END_THINKING\\|><\\|START_ACTION\\|>([\\s\\S\\n\\r]*?)<\\|END_ACTION\\|>"); + std::smatch match; + + common_chat_msg result; + result.role = "assistant"; + if (std::regex_match(input, match, response_regex)) { + result.content = match[1].str(); + } else if (std::regex_match(input, match, thought_action_regex)) { + result.tool_plan = match[1].str(); + auto actions_str = match[2].str(); + auto actions = json::parse(actions_str); + for (const auto & action : actions) { + result.tool_calls.push_back({ + /* .name = */ action["tool_name"], + /* .arguments = */ action["parameters"].dump(), + /* .id = */ action["tool_call_id"], + }); + } + } else { + LOG_ERR("Failed to parse command_r output"); + result.content = input; + } + return result; +} + static void expect_tool_parameters(const std::string & name, const json & parameters, const std::vector & expected_properties) { if (!parameters.is_object() || !parameters.contains("type") || parameters["type"] != "object" || !parameters.contains("properties") || !parameters.contains("required")) { throw std::runtime_error("Parameters of tool " + name + " must be an object w/ required properties"); @@ -462,6 +536,10 @@ static common_chat_params common_chat_params_init_deepseek_r1(const common_chat_ "\"<｜tool▁call▁begin｜>function<｜tool▁sep｜>" + name + "\\n```json\\n\" " + args_rule + " \"```<｜tool▁call▁end｜>\"")); }); data.grammar_triggers.push_back({"<｜tool▁calls▁begin｜>", /* .at_start = */ false}); + data.preserved_tokens = { + "<｜tool▁sep｜>", + "<｜tool▁call▁end｜>", + }; builder.add_rule("root", "\"<｜tool▁calls▁begin｜>\" (" + string_join(tool_rules, " | ") + ")" + (inputs.parallel_tool_calls ? "*" : "") + " space"); }, grammar_options); data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); @@ -704,8 +782,7 @@ static common_chat_params common_chat_params_init_hermes_2_pro(const common_chat auto tool_call = "\"\" space " + builder.add_rule("tool_call", string_join(tool_rules, " | ")) + " \"\" space"; builder.add_rule("root", inputs.parallel_tool_calls ? "(" + tool_call + ")+" : tool_call); data.grammar_triggers.push_back({"", /* .at_start = */ false}); - // Not really a trigger but need to print this special token to get a successful parse. - data.grammar_triggers.push_back({"", /* .at_start = */ false}); + data.preserved_tokens = { "" }; }, grammar_options); data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); @@ -822,6 +899,9 @@ common_chat_params common_chat_params_init(const common_chat_template & tmpl, co if (src.find("[TOOL_CALLS]") != std::string::npos) { return common_chat_params_init_mistral_nemo(tmpl, inputs); } + if (src.find("<|END_THINKING|><|START_ACTION|>") != std::string::npos) { + return common_chat_params_init_command_r7b(tmpl, inputs); + } return common_chat_params_init_generic(tmpl, inputs); } @@ -855,6 +935,8 @@ common_chat_msg common_chat_parse(const std::string & input, common_chat_format return common_chat_parse_hermes_2_pro(input); case COMMON_CHAT_FORMAT_FIREFUNCTION_V2: return common_chat_parse_firefunction_v2(input); + case COMMON_CHAT_FORMAT_COMMAND_R7B: + return common_chat_parse_command_r7b(input); default: throw std::runtime_error("Unsupported format: " + common_chat_format_name(format)); } diff --git a/common/chat.hpp b/common/chat.hpp index ca165aa13..33e64a430 100644 --- a/common/chat.hpp +++ b/common/chat.hpp @@ -32,6 +32,7 @@ enum common_chat_format { COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2, COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1, COMMON_CHAT_FORMAT_HERMES_2_PRO, + COMMON_CHAT_FORMAT_COMMAND_R7B, COMMON_CHAT_FORMAT_COUNT, // Not a format, just the # formats }; @@ -42,6 +43,7 @@ struct common_chat_params { std::string grammar; bool grammar_lazy = false; std::vector grammar_triggers; + std::vector preserved_tokens; std::vector additional_stops; }; diff --git a/common/common.h b/common/common.h index 6c1809277..b208d0c7e 100644 --- a/common/common.h +++ b/common/common.h @@ -4,6 +4,7 @@ #include "llama-cpp.h" +#include #include #include #include @@ -163,6 +164,7 @@ struct common_params_sampling { bool grammar_lazy = false; std::vector grammar_trigger_words; // optional trigger words to trigger lazy grammar std::vector grammar_trigger_tokens; // optional trigger tokens to trigger lazy grammar and print trigger special tokens. + std::set preserved_tokens; std::vector logit_bias; // logit biases to apply @@ -621,6 +623,7 @@ struct common_chat_msg { std::string role; std::string content; std::vector tool_calls; + std::string tool_plan = ""; }; // Check if the template supplied via "--chat-template" is supported or not. Returns true if it's valid diff --git a/examples/server/README.md b/examples/server/README.md index 276b43013..e9d0374ad 100644 --- a/examples/server/README.md +++ b/examples/server/README.md @@ -1128,6 +1128,7 @@ curl http://localhost:8080/v1/chat/completions \ - Hermes 2/3, Qwen 2.5 - Mistral Nemo - Firefunction v2 + - Command R7B - DeepSeek R1 (WIP / seems reluctant to call any tools?) From 902368a06b915b860236cfc97ff885b2aceae256 Mon Sep 17 00:00:00 2001 From: Charles Duffy Date: Wed, 5 Feb 2025 19:52:31 -0600 Subject: [PATCH 127/162] metal : avoid breaking build when metal API predates TARGET_OS_VISION (#11690) Avoids breakage in nix flake build introduced by b0569130c5e9c671152c913d82803b7c2f014ff9 --- ggml/src/ggml-metal/ggml-metal.m | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/ggml/src/ggml-metal/ggml-metal.m b/ggml/src/ggml-metal/ggml-metal.m index c63dbad20..944d90af3 100644 --- a/ggml/src/ggml-metal/ggml-metal.m +++ b/ggml/src/ggml-metal/ggml-metal.m @@ -19,6 +19,10 @@ // max number of MTLCommandBuffer used to submit a graph for processing #define GGML_METAL_MAX_COMMAND_BUFFERS 8 +#ifndef TARGET_OS_VISION +#define TARGET_OS_VISION 0 +#endif + // create residency sets only on macOS >= 15.0 #if TARGET_OS_OSX && __MAC_OS_X_VERSION_MAX_ALLOWED >= 150000 || \ TARGET_OS_IOS && __IPHONE_OS_VERSION_MAX_ALLOWED >= 180000 || \ From 1b598b30581bad59e5af86c94362f9a30f261fac Mon Sep 17 00:00:00 2001 From: Jeff Bolz Date: Thu, 6 Feb 2025 00:02:18 -0600 Subject: [PATCH 128/162] vulkan: use smaller combined allocations to avoid fragmentation (#11551) --- ggml/src/ggml-alloc.c | 14 +------------- ggml/src/ggml-vulkan/ggml-vulkan.cpp | 19 +++++++++++++++++-- 2 files changed, 18 insertions(+), 15 deletions(-) diff --git a/ggml/src/ggml-alloc.c b/ggml/src/ggml-alloc.c index 9a3bf9f29..7244a9cbb 100644 --- a/ggml/src/ggml-alloc.c +++ b/ggml/src/ggml-alloc.c @@ -989,19 +989,7 @@ ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors_from_buft(struct ggml_conte this_size = GGML_PAD(ggml_backend_buft_get_alloc_size(buft, t), alignment); } - if (this_size > max_size) { - GGML_LOG_ERROR("%s: tensor %s is too large to fit in a %s buffer (tensor size: %zu, max buffer size: %zu)\n", - __func__, t->name, - ggml_backend_buft_name(buft), - this_size, max_size); - for (size_t i = 0; i < n_buffers; i++) { - ggml_backend_buffer_free(buffers[i]); - } - free(buffers); - return NULL; - } - - if ((cur_buf_size + this_size) > max_size) { + if (cur_buf_size > 0 && (cur_buf_size + this_size) > max_size) { // allocate tensors in the current buffer if (!alloc_tensor_range(ctx, first, t, buft, cur_buf_size, &buffers, &n_buffers)) { return NULL; diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index 48ac489a6..2e1bcf691 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -156,6 +156,7 @@ struct vk_device_struct { vk::PhysicalDeviceProperties properties; std::string name; uint64_t max_memory_allocation_size; + uint64_t suballocation_block_size; bool fp16; bool pipeline_robustness; vk::Device device; @@ -2269,6 +2270,7 @@ static vk_device ggml_vk_get_device(size_t idx) { device->physical_device.getProperties2(&props2); device->properties = props2.properties; + device->vendor_id = device->properties.vendorID; const char* GGML_VK_FORCE_MAX_ALLOCATION_SIZE = getenv("GGML_VK_FORCE_MAX_ALLOCATION_SIZE"); @@ -2280,7 +2282,20 @@ static vk_device ggml_vk_get_device(size_t idx) { device->max_memory_allocation_size = props3.maxMemoryAllocationSize; } - device->vendor_id = device->properties.vendorID; + const char* GGML_VK_SUBALLOCATION_BLOCK_SIZE = getenv("GGML_VK_SUBALLOCATION_BLOCK_SIZE"); + + if (GGML_VK_SUBALLOCATION_BLOCK_SIZE != nullptr) { + device->suballocation_block_size = std::stoul(GGML_VK_SUBALLOCATION_BLOCK_SIZE); +#if defined(_WIN32) + } else if (device->vendor_id == VK_VENDOR_ID_NVIDIA) { + // Limit batching of allocations to 1GB by default to avoid fragmentation issues + device->suballocation_block_size = 1024*1024*1024; +#endif + } else { + device->suballocation_block_size = device->max_memory_allocation_size; + } + device->suballocation_block_size = std::min(device->suballocation_block_size, device->max_memory_allocation_size); + device->subgroup_size = subgroup_props.subgroupSize; device->uma = device->properties.deviceType == vk::PhysicalDeviceType::eIntegratedGpu; if (sm_builtins) { @@ -7561,7 +7576,7 @@ static size_t ggml_backend_vk_buffer_type_get_alignment(ggml_backend_buffer_type static size_t ggml_backend_vk_buffer_type_get_max_size(ggml_backend_buffer_type_t buft) { ggml_backend_vk_buffer_type_context * ctx = (ggml_backend_vk_buffer_type_context *) buft->context; - return ctx->device->max_memory_allocation_size; + return ctx->device->suballocation_block_size; } static size_t ggml_backend_vk_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, const ggml_tensor * tensor) { From 8a7e3bf17aa5a8412854787746c92a28623a8925 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9my=20O?= Date: Thu, 6 Feb 2025 07:09:59 +0100 Subject: [PATCH 129/162] vulkan: initial support for IQ4_XS quantization (#11501) --- ggml/src/ggml-vulkan/ggml-vulkan.cpp | 25 ++++++++++++ .../vulkan-shaders/copy_from_quant.comp | 2 +- .../vulkan-shaders/copy_to_quant.comp | 2 +- .../vulkan-shaders/dequant_funcs.comp | 38 ++++++++++++++++++- .../vulkan-shaders/dequant_funcs_cm2.comp | 23 +++++++++++ .../vulkan-shaders/dequant_iq4_xs.comp | 34 +++++++++++++++++ .../vulkan-shaders/flash_attn_cm2.comp | 2 +- .../vulkan-shaders/get_rows_quant.comp | 2 +- .../vulkan-shaders/mul_mat_vec.comp | 2 +- .../ggml-vulkan/vulkan-shaders/mul_mm.comp | 21 +++++++++- .../vulkan-shaders/mul_mm_cm2.comp | 2 +- .../src/ggml-vulkan/vulkan-shaders/types.comp | 28 +++++++++++--- .../vulkan-shaders/vulkan-shaders-gen.cpp | 1 + 13 files changed, 169 insertions(+), 13 deletions(-) create mode 100644 ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq4_xs.comp diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index 2e1bcf691..1c99ebe2e 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -1622,6 +1622,7 @@ static void ggml_vk_load_shaders(vk_device& device) { //CREATE_FA(GGML_TYPE_IQ2_S, iq2_s) //CREATE_FA(GGML_TYPE_IQ3_XXS, iq3_xxs) //CREATE_FA(GGML_TYPE_IQ3_S, iq3_s) + //CREATE_FA(GGML_TYPE_IQ4_XS, iq4_xs) CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl) #undef CREATE_FA @@ -1655,6 +1656,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ2_S].f16acc, matmul_iq2_s_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ3_XXS].f16acc, matmul_iq3_xxs_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ3_S].f16acc, matmul_iq3_s_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) + CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ4_XS].f16acc, matmul_iq4_xs_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) CREATE_MM2(pipeline_matmul_id_f16, matmul_id_f16, wg_denoms, warptile, vk_mat_mat_id_push_constants, 4) @@ -1673,6 +1675,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_S].f16acc, matmul_id_iq2_s_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_XXS].f16acc, matmul_id_iq3_xxs_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_S].f16acc, matmul_id_iq3_s_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS].f16acc, matmul_id_iq4_xs_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) #undef CREATE_MM #undef CREATE_MM2 @@ -1726,6 +1729,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_S].f16acc, matmul_iq2_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_XXS].f16acc, matmul_iq3_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_S].f16acc, matmul_iq3_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS].f16acc, matmul_iq4_xs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); } else { CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0].f16acc, matmul_q4_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); @@ -1744,6 +1748,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_S].f16acc, matmul_iq2_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_XXS].f16acc, matmul_iq3_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_S].f16acc, matmul_iq3_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS].f16acc, matmul_iq4_xs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); } @@ -1770,6 +1775,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_S].f16acc, matmul_id_iq2_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_XXS].f16acc, matmul_id_iq3_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_S].f16acc, matmul_id_iq3_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS].f16acc, matmul_id_iq4_xs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); } else { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0].f16acc, matmul_id_q4_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); @@ -1788,6 +1794,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_S].f16acc, matmul_id_iq2_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_XXS].f16acc, matmul_id_iq3_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_S].f16acc, matmul_id_iq3_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS].f16acc, matmul_id_iq4_xs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); } } @@ -1837,6 +1844,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_S].f16acc, matmul_iq2_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_XXS].f16acc, matmul_iq3_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_S].f16acc, matmul_iq3_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS].f16acc, matmul_iq4_xs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); // If there's not enough shared memory for row_ids and the result tile, don't create these pipelines. @@ -1861,6 +1869,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_S].f16acc, matmul_id_iq2_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_XXS].f16acc, matmul_id_iq3_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_S].f16acc, matmul_id_iq3_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS].f16acc, matmul_id_iq4_xs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); } #undef CREATE_MM2 @@ -1902,6 +1911,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_S].f32acc, matmul_iq2_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_XXS].f32acc, matmul_iq3_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_S].f32acc, matmul_iq3_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS].f32acc, matmul_iq4_xs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f32acc, matmul_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); // If there's not enough shared memory for row_ids and the result tile, don't create these pipelines. @@ -1926,6 +1936,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_S].f32acc, matmul_id_iq2_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_XXS].f32acc, matmul_id_iq3_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_S].f32acc, matmul_id_iq3_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS].f32acc, matmul_id_iq4_xs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f32acc, matmul_id_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); } #undef CREATE_MM @@ -1962,6 +1973,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ2_S][i], "mul_mat_vec_iq2_s_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq2_s_f32_f32_len, mul_mat_vec_iq2_s_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ3_XXS][i], "mul_mat_vec_iq3_xxs_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq3_xxs_f32_f32_len, mul_mat_vec_iq3_xxs_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ3_S][i], "mul_mat_vec_iq3_s_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq3_s_f32_f32_len, mul_mat_vec_iq3_s_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ4_XS][i], "mul_mat_vec_iq4_xs_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq4_xs_f32_f32_len, mul_mat_vec_iq4_xs_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ4_NL][i], "mul_mat_vec_iq4_nl_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq4_nl_f32_f32_len, mul_mat_vec_iq4_nl_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {subgroup_size_16, 2*rm_stdq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F32 ][i], "mul_mat_vec_f32_f16_f32_"+std::to_string(i+1), mul_mat_vec_f32_f16_f32_len, mul_mat_vec_f32_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {2, 1, 1}, {device->subgroup_size, 2, i+1}, 1); @@ -1981,6 +1993,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ2_S][i], "mul_mat_vec_iq2_s_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq2_s_f16_f32_len, mul_mat_vec_iq2_s_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ3_XXS][i], "mul_mat_vec_iq3_xxs_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq3_xxs_f16_f32_len, mul_mat_vec_iq3_xxs_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ3_S][i], "mul_mat_vec_iq3_s_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq3_s_f16_f32_len, mul_mat_vec_iq3_s_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ4_XS][i], "mul_mat_vec_iq4_xs_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq4_xs_f16_f32_len, mul_mat_vec_iq4_xs_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ4_NL][i], "mul_mat_vec_iq4_nl_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq4_nl_f16_f32_len, mul_mat_vec_iq4_nl_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {subgroup_size_16, 2*rm_stdq, i+1}, 1, true); } @@ -2001,6 +2014,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ2_S], "mul_mat_vec_id_iq2_s_f32", mul_mat_vec_id_iq2_s_f32_len, mul_mat_vec_id_iq2_s_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ3_XXS], "mul_mat_vec_id_iq3_xxs_f32", mul_mat_vec_id_iq3_xxs_f32_len, mul_mat_vec_id_iq3_xxs_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ3_S], "mul_mat_vec_id_iq3_s_f32", mul_mat_vec_id_iq3_s_f32_len, mul_mat_vec_id_iq3_s_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ4_XS], "mul_mat_vec_id_iq4_xs_f32", mul_mat_vec_id_iq4_xs_f32_len, mul_mat_vec_id_iq4_xs_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ4_NL], "mul_mat_vec_id_iq4_nl_f32", mul_mat_vec_id_iq4_nl_f32_len, mul_mat_vec_id_iq4_nl_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {2*rm_stdq, 1, 1}, {subgroup_size_16, 2*rm_stdq}, 1, true); // dequant shaders @@ -2020,6 +2034,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ2_S], "dequant_iq2_s", dequant_iq2_s_len, dequant_iq2_s_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ3_XXS], "dequant_iq3_xxs", dequant_iq3_xxs_len, dequant_iq3_xxs_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ3_S], "dequant_iq3_s", dequant_iq3_s_len, dequant_iq3_s_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ4_XS], "dequant_iq4_xs", dequant_iq4_xs_len, dequant_iq4_xs_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ4_NL], "dequant_iq4_nl", dequant_iq4_nl_len, dequant_iq4_nl_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); // get_rows @@ -2035,6 +2050,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ2_S], "get_rows_iq2_s", get_rows_iq2_s_len, get_rows_iq2_s_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ3_XXS], "get_rows_iq3_xxs", get_rows_iq3_xxs_len, get_rows_iq3_xxs_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ3_S], "get_rows_iq3_s", get_rows_iq3_s_len, get_rows_iq3_s_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ4_XS], "get_rows_iq4_xs", get_rows_iq4_xs_len, get_rows_iq4_xs_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ4_NL], "get_rows_iq4_nl", get_rows_iq4_nl_len, get_rows_iq4_nl_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_F32 ], "get_rows_f32_f32", get_rows_f32_f32_len, get_rows_f32_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1); @@ -2049,6 +2065,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ2_S], "get_rows_iq2_s_f32", get_rows_iq2_s_f32_len, get_rows_iq2_s_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ3_XXS], "get_rows_iq3_xxs_f32", get_rows_iq3_xxs_f32_len, get_rows_iq3_xxs_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ3_S], "get_rows_iq3_s_f32", get_rows_iq3_s_f32_len, get_rows_iq3_s_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ4_XS], "get_rows_iq4_xs_f32", get_rows_iq4_xs_f32_len, get_rows_iq4_xs_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ4_NL], "get_rows_iq4_nl_f32", get_rows_iq4_nl_f32_len, get_rows_iq4_nl_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_matmul_split_k_reduce, "split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 2 * sizeof(uint32_t), {256 * 4, 1, 1}, {}, 1); @@ -2995,6 +3012,7 @@ static vk_pipeline ggml_vk_get_to_fp16(ggml_backend_vk_context * ctx, ggml_type case GGML_TYPE_IQ2_S: case GGML_TYPE_IQ3_XXS: case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: break; default: @@ -3048,6 +3066,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_pipeline(ggml_backend_vk_conte case GGML_TYPE_IQ2_S: case GGML_TYPE_IQ3_XXS: case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: break; default: @@ -3084,6 +3103,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec(ggml_backend_vk_context * case GGML_TYPE_IQ2_S: case GGML_TYPE_IQ3_XXS: case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: break; default: @@ -3132,6 +3152,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_id_pipeline(ggml_backend_vk_co case GGML_TYPE_IQ2_S: case GGML_TYPE_IQ3_XXS: case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: break; default: @@ -3163,6 +3184,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec_id(ggml_backend_vk_context case GGML_TYPE_IQ2_S: case GGML_TYPE_IQ3_XXS: case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: break; default: @@ -8037,6 +8059,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm case GGML_TYPE_IQ2_S: case GGML_TYPE_IQ3_XXS: case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: break; default: @@ -8110,6 +8133,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm //case GGML_TYPE_IQ2_S: //case GGML_TYPE_IQ3_XXS: //case GGML_TYPE_IQ3_S: + //case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: break; default: @@ -8132,6 +8156,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm case GGML_TYPE_IQ2_S: case GGML_TYPE_IQ3_XXS: case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: return true; default: diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp b/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp index aeae5400d..9c9fe9626 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp @@ -12,7 +12,7 @@ layout(local_size_x = 1, local_size_y = 1, local_size_z = 1) in; #endif void main() { -#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) init_iq_shmem(gl_WorkGroupSize); if (gl_LocalInvocationIndex.x != 0) { return; diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp b/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp index d4b068e61..660811086 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp @@ -217,7 +217,7 @@ void quantize(uint dst_idx, uint src_idx) #endif void main() { -#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) init_iq_shmem(gl_WorkGroupSize); if (gl_LocalInvocationIndex.x != 0) { return; diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.comp index ee6877531..ecfdbfaa8 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.comp @@ -304,6 +304,42 @@ vec4 dequantize4(uint ib, uint iqs, uint a_offset) { } #endif +#if defined(DATA_A_IQ4_XS) +vec2 dequantize(uint ib, uint iqs, uint a_offset) { + const uint ib32 = iqs / 32; + const uint iq = 16 * ib32 + (iqs % 16); + + const uint sl = (data_a[a_offset + ib].scales_l[ib32/2] >> (4 * (ib32 & 1))) & 0xF; + const uint sh = (data_a[a_offset + ib].scales_h >> (2 * ib32)) & 3; + const uint qshift = (iqs & 16) >> 2; + u8vec2 qs = u8vec2(data_a[a_offset + ib].qs[iq], data_a[a_offset + ib].qs[iq + 1]); + qs = (qs >> qshift) & uint8_t(0xF); + + const float dl = float(int(sl | (sh << 4)) - 32); + return dl * vec2(kvalues_iq4nl[qs.x], kvalues_iq4nl[qs.y]); +} +vec4 dequantize4(uint ib, uint iqs, uint a_offset) { + const uint ib32 = iqs / 32; + const uint iq = 16 * ib32 + (iqs % 16); + + const uint sl = (data_a[a_offset + ib].scales_l[ib32/2] >> (4 * (ib32 & 1))) & 0xF; + const uint sh = (data_a[a_offset + ib].scales_h >> (2 * ib32)) & 3; + const uint qshift = (iqs & 16) >> 2; + u8vec4 qs = u8vec4( + data_a[a_offset + ib].qs[iq + 0], + data_a[a_offset + ib].qs[iq + 1], + data_a[a_offset + ib].qs[iq + 2], + data_a[a_offset + ib].qs[iq + 3] + ); + qs = (qs >> qshift) & uint8_t(0xF); + + const float dl = float(int(sl | (sh << 4)) - 32); + return dl * vec4( + kvalues_iq4nl[qs.x], kvalues_iq4nl[qs.y], + kvalues_iq4nl[qs.z], kvalues_iq4nl[qs.w]); +} +#endif + #if defined(DATA_A_IQ4_NL) vec2 dequantize(uint ib, uint iqs, uint a_offset) { const uint vui = uint(data_a[a_offset + ib].qs[iqs]); @@ -321,7 +357,7 @@ vec2 get_dm(uint ib, uint a_offset) { } #endif -#if defined(DATA_A_Q4_0) || defined(DATA_A_Q5_0) || defined(DATA_A_Q8_0) || defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_Q4_0) || defined(DATA_A_Q5_0) || defined(DATA_A_Q8_0) || defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) vec2 get_dm(uint ib, uint a_offset) { return vec2(float(data_a[a_offset + ib].d), 0); } diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp index 974efd3f9..78c3bddf2 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp @@ -454,6 +454,27 @@ float16_t dequantFuncIQ3_S(const in decodeBufIQ3_S bl, const in uint blockCoords } #endif +#if defined(DATA_A_IQ4_XS) +layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ4_XS { + block_iq4_xs block; +}; + +float16_t dequantFuncIQ4_XS(const in decodeBufIQ4_XS bl, const in uint blockCoords[2], const in uint coordInBlock[2]) +{ + const float16_t d = bl.block.d; + const uint idx = coordInBlock[1]; + + const uint ib32 = (idx & 0xE0) >> 5; // 0..7 + + const uint sl = (bl.block.scales_l[ib32/2] >> (4 * (ib32 & 1))) & 0xF; + const uint sh = ((bl.block.scales_h) >> (2 * ib32)) & 3; + const uint qshift = (idx & 16) >> 2; + const uint q = (bl.block.qs[16 * ib32 + (idx % 16)] >> qshift) & 0xF; + + float16_t ret = d * float16_t(int(sl | (sh << 4)) - 32) * float16_t(kvalues_iq4nl[q]); + return ret; +} +#endif #if defined(DATA_A_IQ4_NL) layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ4_NL { @@ -504,6 +525,8 @@ float16_t dequantFuncIQ4_NL(const in decodeBufIQ4_NL bl, const in uint blockCoor #define dequantFuncA dequantFuncIQ3_XXS #elif defined(DATA_A_IQ3_S) #define dequantFuncA dequantFuncIQ3_S +#elif defined(DATA_A_IQ4_XS) +#define dequantFuncA dequantFuncIQ4_XS #elif defined(DATA_A_IQ4_NL) #define dequantFuncA dequantFuncIQ4_NL #endif diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq4_xs.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq4_xs.comp new file mode 100644 index 000000000..f930852a4 --- /dev/null +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq4_xs.comp @@ -0,0 +1,34 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {block_iq4_xs data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + // Each thread handles 1 subblock (1 scale and 32 quantized values) + const uint ib = gl_WorkGroupID.x * 32 + gl_LocalInvocationID.x / 8; + + init_iq_shmem(gl_WorkGroupSize); + + if (ib >= p.nel / 256) { + return; + } + + const uint ib32 = gl_LocalInvocationID.x % 8; + + const float d = float(data_a[ib].d); + // Scales are 6 bits + const uint scale = ((data_a[ib].scales_l[ib32/2] >> (4 * (ib32 & 1))) & 0xF) + | (((data_a[ib].scales_h >> (2 * ib32)) & 3) << 4); + const float dl = d * (int(scale) - 32); + + const uint b_idx = 256 * ib + 32 * ib32; + const uint q_idx = 16 * ib32; + [[unroll]] for (uint l = 0; l < 16; ++l) { + data_b[b_idx + l + 0] = D_TYPE(dl * kvalues_iq4nl[data_a[ib].qs[q_idx + l] & 0xF]); + data_b[b_idx + l + 16] = D_TYPE(dl * kvalues_iq4nl[data_a[ib].qs[q_idx + l] >> 4]); + } +} diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp index 043a53023..ba88ce79a 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp @@ -104,7 +104,7 @@ ACC_TYPE Max(const in uint32_t row, const in uint32_t col, const in ACC_TYPE ele #endif void main() { -#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) init_iq_shmem(gl_WorkGroupSize); #endif diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/get_rows_quant.comp b/ggml/src/ggml-vulkan/vulkan-shaders/get_rows_quant.comp index 09dc43d8d..c16a2a9f6 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/get_rows_quant.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/get_rows_quant.comp @@ -12,7 +12,7 @@ void main() { const uint i11 = (gl_GlobalInvocationID.z)/p.ne12; const uint i12 = (gl_GlobalInvocationID.z)%p.ne12; -#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) init_iq_shmem(gl_WorkGroupSize); #endif diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec.comp index 48156e7ba..d7e99727d 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec.comp @@ -133,7 +133,7 @@ void compute_outputs(const uint32_t first_row, const uint32_t num_rows) { void main() { const uint first_row = NUM_ROWS * (gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z); -#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) init_iq_shmem(gl_WorkGroupSize); #endif diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp index d0559aac8..33b2234e7 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp @@ -95,7 +95,7 @@ shared ACC_TYPE coopmat_stage[TM * TN * NUM_WARPS]; #endif void main() { -#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) init_iq_shmem(gl_WorkGroupSize); #endif @@ -547,6 +547,25 @@ void main() { const uint32_t grid = iq3s_grid[qs | ((qh << (8 - (iqs % 8))) & 256)] >> (16 * (idx % 2)); const vec2 v = db * vec2(sign01) * vec2(unpack8(grid).xy); + buf_a[buf_idx ] = FLOAT_TYPE(v.x); + buf_a[buf_idx + 1] = FLOAT_TYPE(v.y); +#elif defined(DATA_A_IQ4_XS) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * SHMEM_STRIDE + loadr_a * LOAD_VEC_A; + + const uint ib = idx / 128; // 2 values per idx + const uint ib32 = (idx % 128) / 16; // 0..7 + const uint iq = 16 * ib32 + 2 * (idx % 8); + + const uint sl = (data_a[ib].scales_l[ib32/2] >> (4 * (ib32 & 1))) & 0xF; + const uint sh = ((data_a[ib].scales_h) >> (2 * ib32)) & 3; + const uint qshift = (idx & 8) >> 1; + u8vec2 qs = u8vec2(data_a[ib].qs[iq], data_a[ib].qs[iq + 1]); + qs = (qs >> qshift) & uint8_t(0xF); + + const float d = float(data_a[ib].d); + const vec2 v = d * float(int(sl | (sh << 4)) - 32) * vec2(kvalues_iq4nl[qs.x], kvalues_iq4nl[qs.y]); + buf_a[buf_idx ] = FLOAT_TYPE(v.x); buf_a[buf_idx + 1] = FLOAT_TYPE(v.y); #elif defined(DATA_A_IQ4_NL) diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp index 27c5d68b3..7e29bbfec 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp @@ -106,7 +106,7 @@ D_TYPE perElemOpD(const in uint32_t r, const in uint32_t c, const in D_TYPE elem #endif void main() { -#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) init_iq_shmem(gl_WorkGroupSize); #endif diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/types.comp b/ggml/src/ggml-vulkan/vulkan-shaders/types.comp index 9e56a3530..db643a54c 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/types.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/types.comp @@ -1026,6 +1026,23 @@ void init_iq_shmem(uvec3 wgsize) #define A_TYPE_PACKED16 block_iq3_s_packed16 #endif +#define QUANT_K_IQ4_XS 256 +#define QUANT_R_IQ4_XS 1 + +struct block_iq4_xs +{ + float16_t d; + uint16_t scales_h; + uint8_t scales_l[QUANT_K_IQ4_XS/64]; + uint8_t qs[QUANT_K_IQ4_XS/2]; +}; + +#if defined(DATA_A_IQ4_XS) +#define QUANT_K QUANT_K_IQ4_XS +#define QUANT_R QUANT_R_IQ4_XS +#define A_TYPE block_iq4_xs +#endif + #define QUANT_K_IQ4_NL 32 #define QUANT_R_IQ4_NL 2 @@ -1042,7 +1059,13 @@ struct block_iq4_nl_packed16 }; #if defined(DATA_A_IQ4_NL) +#define QUANT_K QUANT_K_IQ4_NL +#define QUANT_R QUANT_R_IQ4_NL +#define A_TYPE block_iq4_nl +#define A_TYPE_PACKED16 block_iq4_nl_packed16 +#endif +#if defined(DATA_A_IQ4_NL) || defined(DATA_A_IQ4_XS) const int8_t kvalues_iq4nl_const[16] = { int8_t(-127), int8_t(-104), int8_t(-83), int8_t(-65), int8_t(-49), int8_t(-35), int8_t(-22), int8_t(-10), int8_t(1), int8_t(13), int8_t(25), int8_t(38), int8_t(53), int8_t(69), int8_t(89), int8_t(113) @@ -1058,11 +1081,6 @@ void init_iq_shmem(uvec3 wgsize) } barrier(); } - -#define QUANT_K QUANT_K_IQ4_NL -#define QUANT_R QUANT_R_IQ4_NL -#define A_TYPE block_iq4_nl -#define A_TYPE_PACKED16 block_iq4_nl_packed16 #endif #endif // !defined(GGML_TYPES_COMP) diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp index 93ddbfadc..77e7e1148 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp @@ -60,6 +60,7 @@ const std::vector type_names = { "iq2_s", "iq3_xxs", "iq3_s", + "iq4_xs", "iq4_nl" }; From 2c6c8df56d8a3edd657b9a295e95d469a37f0044 Mon Sep 17 00:00:00 2001 From: Jeff Bolz Date: Thu, 6 Feb 2025 00:15:30 -0600 Subject: [PATCH 130/162] vulkan: optimize coopmat2 iq2/iq3 callbacks (#11521) * vulkan: optimize coopmat2 iq2/iq3 callbacks * build: trigger CI on GLSL compute shader changes --- .github/workflows/build.yml | 4 +- .../vulkan-shaders/dequant_funcs_cm2.comp | 79 +++++++++---------- 2 files changed, 40 insertions(+), 43 deletions(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 8f9c82f87..6841ba589 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -10,10 +10,10 @@ on: push: branches: - master - paths: ['.github/workflows/build.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.cuh', '**/*.swift', '**/*.m', '**/*.metal'] + paths: ['.github/workflows/build.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.cuh', '**/*.swift', '**/*.m', '**/*.metal', '**/*.comp'] pull_request: types: [opened, synchronize, reopened] - paths: ['.github/workflows/build.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.cuh', '**/*.swift', '**/*.m', '**/*.metal'] + paths: ['.github/workflows/build.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.cuh', '**/*.swift', '**/*.m', '**/*.metal', '**/*.comp'] concurrency: group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp index 78c3bddf2..0eba37420 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp @@ -323,15 +323,16 @@ float16_t dequantFuncIQ2_XXS(const in decodeBufIQ2_XXS bl, const in uint blockCo const uint8_t qs = bl.block.qs[iqs]; const uint signscale = pack32(u16vec2(bl16.block.qs[4*ib32+2], bl16.block.qs[4*ib32+3])); - const float16_t dscale = bl.block.d * 0.25hf * (0.5hf + float16_t(signscale >> 28)); + const float dscale = float(bl.block.d) * 0.25 * (0.5 + float(signscale >> 28)); uint sign = bitfieldExtract(signscale, 7 * int(ib8), 7); sign |= bitCount(sign) << 7; - const uint8_t g = unpack8(iq2xxs_grid[qs][(idx & 4) >> 2])[idx & 3]; + uint g2 = iq2xxs_grid[qs][(idx & 4) >> 2]; + g2 >>= (idx & 2) * 8; + const vec2 g = vec2(unpack8(g2)); - float16_t ret = dscale * float16_t(g) * ((sign & (1 << (idx & 7))) != 0 ? -1.0hf : 1.0hf); - - return ret; + vec2 ret = dscale * g * ((sign & (1 << (idx & 7))) != 0 ? -1.0hf : 1.0hf); + return float16_t(ret[idx & 1]); } #endif @@ -350,14 +351,16 @@ float16_t dequantFuncIQ2_XS(const in decodeBufIQ2_XS bl, const in uint blockCoor const uint iqs = (idx & 0xF8) >> 3; // 0..63 const uint16_t qs = bl.block.qs[iqs]; - const float16_t dscale = bl.block.d * 0.25hf * (0.5hf + float16_t((bl.block.scales[is] >> sshift) & 0xF)); + const float dscale = float(bl.block.d) * 0.25 * (0.5 + float((bl.block.scales[is] >> sshift) & 0xF)); uint sign = uint(qs >> 9); sign |= bitCount(sign) << 7; - const uint8_t g = unpack8(iq2xs_grid[qs & 0x1FF][(idx & 4) >> 2])[idx & 3]; + uint g2 = iq2xs_grid[qs & 0x1FF][(idx & 4) >> 2]; + g2 >>= (idx & 2) * 8; + const vec2 g = vec2(unpack8(g2)); - float16_t ret = dscale * float16_t(g) * ((sign & (1 << (idx & 7))) != 0 ? -1.0hf : 1.0hf); - return ret; + vec2 ret = dscale * g * ((sign & (1 << (idx & 7))) != 0 ? -1.0hf : 1.0hf); + return float16_t(ret[idx & 1]); } #endif @@ -369,24 +372,23 @@ layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ2 float16_t dequantFuncIQ2_S(const in decodeBufIQ2_S bl, const in uint blockCoords[2], const in uint coordInBlock[2]) { uint idx = coordInBlock[1]; - uint lsb = idx & 1; - idx /= 2; - const uint ib8 = (idx % 128) / 4; // 0..31 - const uint ib32 = ib8 / 4; // 0..7 + const uint ib32 = (idx & 0xE0) >> 5; // 0..7 + const uint ib8 = (idx & 0xF8) >> 3; // 0..31 + const uint qhshift = 2 * (ib8 % 4); - const uint scale = (bl.block.scales[ib32] >> (2 * (ib8 & 2))) & 0xf; + const uint scale = (bl.block.scales[ib32] >> ((idx & 0x10) >> 2)) & 0xf; const uint qs = bl.block.qs[ib8]; const uint qh = bl.block.qh[ib32]; - const uint qhshift = 2 * (ib8 % 4); - const uint sign = bl.block.qs[QUANT_K / 8 + ib8] >> (2 * (idx % 4)); + const uint sign = bl.block.qs[QUANT_K / 8 + ib8] >> (idx & 0x6); const float d = float(bl.block.d); const float db = d * 0.25 * (0.5 + scale); - const i8vec2 sign01 = i8vec2(1 - (2 & i8vec2(int8_t(sign << 1), int8_t(sign)))); - const uint16_t grid = unpack16(iq2s_grid[qs | ((qh << (8 - qhshift)) & 0x300)][(idx & 2) >> 1])[idx & 1]; - const vec2 v = db * vec2(sign01) * vec2(unpack8(grid)); - return float16_t(v[lsb]); + const ivec2 sign01 = 1 - (2 & ivec2(sign << 1, sign)); + uint g2 = iq2s_grid[qs | ((qh << (8 - qhshift)) & 0x300)][(idx & 4) >> 2]; + g2 >>= (idx & 2) * 8; + const vec2 v = db * vec2(sign01) * vec2(unpack8(g2)); + return float16_t(v[idx & 1]); } #endif @@ -401,28 +403,25 @@ layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ3 float16_t dequantFuncIQ3_XXS(const in decodeBufIQ3_XXS bl, const in uint blockCoords[2], const in uint coordInBlock[2]) { + decodeBufIQ3_XXS_packed16 bl16 = decodeBufIQ3_XXS_packed16(bl); uint idx = coordInBlock[1]; - uint lsb = idx & 1; - idx /= 2; - const uint iqs = (idx % 128) / 2; // 0..63 - const uint is = QUANT_K / 4 + 4 * (iqs / 8); // 8 values + const uint iqs = (idx & 0xFC) >> 2; // 0..63 + const uint is = QUANT_K / 4 + ((idx & 0xE0) >> 3);// 8 values const float d = float(bl.block.d); const uint qs = bl.block.qs[iqs]; - const uint signs = pack32(u8vec4( - bl.block.qs[is+0], - bl.block.qs[is+1], - bl.block.qs[is+2], - bl.block.qs[is+3] + const uint signs = pack32(u16vec2( + bl16.block.qs[is/2+0], + bl16.block.qs[is/2+1] )); const float db = d * 0.5 * (0.5 + (signs >> 28)); const uint32_t sign7 = bitfieldExtract(signs, 7 * (int(iqs / 2) % 4), 7); - const uint sign = (sign7 | (bitCount(sign7) << 7)) >> (2 * (idx % 4)); - const i8vec2 sign01 = i8vec2(1 - (2 & i8vec2(int8_t(sign << 1), int8_t(sign)))); - const uint grid = iq3xxs_grid[qs] >> (16 * (idx & 1)); + const uint sign = (sign7 | (bitCount(sign7) << 7)) >> (idx & 0x6); + const ivec2 sign01 = ivec2(1 - (2 & ivec2(sign << 1, sign))); + const uint grid = iq3xxs_grid[qs] >> (16 * ((idx & 2) >> 1)); const vec2 v = db * vec2(sign01) * vec2(unpack8(grid).xy); - return float16_t(v[lsb]); + return float16_t(v[idx & 1]); } #endif @@ -434,23 +433,21 @@ layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ3 float16_t dequantFuncIQ3_S(const in decodeBufIQ3_S bl, const in uint blockCoords[2], const in uint coordInBlock[2]) { uint idx = coordInBlock[1]; - uint lsb = idx & 1; - idx /= 2; - const uint iqs = (idx % 128) / 2; // 0..63 - const uint iqh = iqs / 8; + const uint iqs = (idx & 0xFC) >> 2; // 0..63 + const uint iqh = (idx & 0xE0) >> 5; const float d = float(bl.block.d); const uint qs = bl.block.qs[iqs]; const uint qh = bl.block.qh[iqh]; - const int8_t sign = int8_t(bl.block.signs[iqs / 2] >> (2 * (idx % 4))); + const int8_t sign = int8_t(bl.block.signs[iqs / 2] >> (idx & 0x6)); const uint scale = bl.block.scales[iqs / 16]; - const i8vec2 sign01 = i8vec2(1 - (2 & i8vec2(sign << 1, sign))); + const ivec2 sign01 = ivec2(1 - (2 & ivec2(sign << 1, sign))); const float db = d * (1 + 2 * ((scale >> (4 * (iqh & 1))) & 0xf)); - const uint32_t grid = iq3s_grid[qs | ((qh << (8 - (iqs % 8))) & 256)] >> (16 * (idx % 2)); + const uint32_t grid = iq3s_grid[qs | ((qh << (8 - (iqs % 8))) & 256)] >> ((idx & 2) << 3); const vec2 v = db * vec2(sign01) * vec2(unpack8(grid).xy); - return float16_t(v[lsb]); + return float16_t(v[idx & 1]); } #endif From 8d4d2be143a3919c3d194b9bf7a221e50abed893 Mon Sep 17 00:00:00 2001 From: junchao-zhao <68935141+junchao-loongson@users.noreply.github.com> Date: Thu, 6 Feb 2025 17:20:00 +0800 Subject: [PATCH 131/162] ggml : fix LoongArch compile error with 128-bit SIMD (#11701) --- ggml/src/ggml-cpu/ggml-cpu-quants.c | 169 +++++++++++++++------------- 1 file changed, 91 insertions(+), 78 deletions(-) diff --git a/ggml/src/ggml-cpu/ggml-cpu-quants.c b/ggml/src/ggml-cpu/ggml-cpu-quants.c index 88303ff0e..72ec58cee 100644 --- a/ggml/src/ggml-cpu/ggml-cpu-quants.c +++ b/ggml/src/ggml-cpu/ggml-cpu-quants.c @@ -297,6 +297,90 @@ static const uint64_t table_b2b_0[1 << 8] = { B8(00, 10) }; // ( b) << 4 static const uint64_t table_b2b_1[1 << 8] = { B8(10, 00) }; // (!b) << 4 #endif +#if defined(__loongarch_sx) + +static __m128i lsx_packs_w(__m128i a, __m128i b) { + __m128i tmp, tmp1; + tmp = __lsx_vsat_w(a, 15); + tmp1 = __lsx_vsat_w(b, 15); + return __lsx_vpickev_h(tmp1, tmp); +} + +static __m128i lsx_packs_h(__m128i a, __m128i b) { + __m128i tmp, tmp1; + tmp = __lsx_vsat_h(a, 7); + tmp1 = __lsx_vsat_h(b, 7); + return __lsx_vpickev_b(tmp1, tmp); +} + +static __m128i lsx_packus_h(__m128i a, __m128i b) { + __m128i tmp, tmp1; + tmp = __lsx_vsat_hu(a, 7); + tmp1 = __lsx_vsat_hu(b, 7); + return __lsx_vpickev_b(tmp1, tmp); +} + +static __m128i lsx_maddubs_h(__m128i a, __m128i b) { + __m128i tmp1, tmp2; + tmp1 = __lsx_vmulwev_h_b(a, b); + tmp2 = __lsx_vmulwod_h_b(a, b); + return __lsx_vsadd_h(tmp1, tmp2); +} + +static __m128i lsx_madd_h(__m128i a, __m128i b) { + __m128i tmp1, tmp2; + tmp1 = __lsx_vmulwev_w_h(a, b); + tmp2 = __lsx_vmulwod_w_h(a, b); + return __lsx_vadd_w(tmp1, tmp2); +} + +static __m128i lsx_set_w(int32_t a, int32_t b, int32_t c, int32_t d) { + v4i32 __ret = {d, c, b, a}; + return (__m128i)__ret; +} + +static __m128i lsx_shuffle_b(__m128i a, __m128i b) { + __m128i mask_f, zero, tmp0, tmp2, mask; + int f = 0x8f; + mask_f = __lsx_vreplgr2vr_b(f); + zero = __lsx_vldi(0); + tmp0 = __lsx_vand_v(b, mask_f); // get mask with low 4 bit and sign bits + tmp0 = __lsx_vori_b(tmp0, 0x10); // make each mask or with 0x10 prepare for positive + mask = __lsx_vsle_b(zero, tmp0); // if mask >= 0, set mask + tmp2 = __lsx_vand_v(tmp0, mask); // maskout the in2 < ones + return __lsx_vshuf_b(a, zero, tmp2); +} + +static __m128i lsx_hadd_h(__m128i a, __m128i b) { + __m128i tmp1 = __lsx_vpickev_h(b, a); + __m128i tmp2 = __lsx_vpickod_h(b, a); + return __lsx_vadd_h(tmp1, tmp2); +} + +static __m128i lsx_hadd_w(__m128i a, __m128i b) { + __m128i tmp1 = __lsx_vpickev_w(b, a); + __m128i tmp2 = __lsx_vpickod_w(b, a); + return __lsx_vadd_w(tmp1, tmp2); +} + +static __m128 lsx_hadd_s(__m128 a, __m128 b) { + __m128 tmp1 = (__m128)__lsx_vpickev_w((__m128i)b, (__m128i)a); + __m128 tmp2 = (__m128)__lsx_vpickod_w((__m128i)b, (__m128i)a); + + return __lsx_vfadd_s(tmp1, tmp2); +} + +static inline float hsum_float_4x4(const __m128 a, const __m128 b, const __m128 c, const __m128 d) { + __m128 res_0 =lsx_hadd_s(a, b); + __m128 res_1 =lsx_hadd_s(c, d); + __m128 res =lsx_hadd_s(res_0, res_1); + res =lsx_hadd_s(res, res); + res =lsx_hadd_s(res, res); + + return ((v4f32)res)[0]; +} +#endif + #if defined(__loongarch_asx) #ifdef __clang__ @@ -395,11 +479,6 @@ static __m256i lasx_set_w(int e7, int e6, int e5, int e4, int e3, int e2, int e1 return (__m256i)__ret; } -static __m128i lsx_set_w(int32_t a, int32_t b, int32_t c, int32_t d) { - v4i32 __ret = {d, c, b, a}; - return (__m128i)__ret; -} - static __m256i lasx_set_d(int64_t a, int64_t b, int64_t c, int64_t d) { v4i64 __ret = {d, c, b, a}; return (__m256i)__ret; @@ -409,18 +488,6 @@ static __m256i lasx_insertf128( __m128i x, __m128i y) { return lasx_set_q(x, y); } -static __m128i lsx_shuffle_b(__m128i a, __m128i b) { - __m128i mask_f, zero, tmp0, tmp2, mask; - int f = 0x8f; - mask_f = __lsx_vreplgr2vr_b(f); - zero = __lsx_vldi(0); - tmp0 = __lsx_vand_v(b, mask_f); // get mask with low 4 bit and sign bits - tmp0 = __lsx_vori_b(tmp0, 0x10); // make each mask or with 0x10 prepare for positive - mask = __lsx_vsle_b(zero, tmp0); // if mask >= 0, set mask - tmp2 = __lsx_vand_v(tmp0, mask); // maskout the in2 < ones - return __lsx_vshuf_b(a, zero, tmp2); -} - static __m256i lasx_shuffle_b(__m256i a, __m256i b) { __m256i mask_f, zero, tmp0, tmp2, mask; int f = 0x8f; @@ -482,25 +549,6 @@ static __m128 lasx_extractf128( __m256 a, int pos) { return ret; } -static __m128i lsx_hadd_h(__m128i a, __m128i b) { - __m128i tmp1 = __lsx_vpickev_h(b, a); - __m128i tmp2 = __lsx_vpickod_h(b, a); - return __lsx_vadd_h(tmp1, tmp2); -} - -static __m128i lsx_hadd_w(__m128i a, __m128i b) { - __m128i tmp1 = __lsx_vpickev_w(b, a); - __m128i tmp2 = __lsx_vpickod_w(b, a); - return __lsx_vadd_w(tmp1, tmp2); -} - -static __m128 lsx_hadd_s(__m128 a, __m128 b) { - __m128 tmp1 = (__m128)__lsx_vpickev_w((__m128i)b, (__m128i)a); - __m128 tmp2 = (__m128)__lsx_vpickod_w((__m128i)b, (__m128i)a); - - return __lsx_vfadd_s(tmp1, tmp2); -} - static __m256i lasx_maddubs_h(__m256i a, __m256i b) { __m256i tmp1, tmp2; tmp1 = __lasx_xvmulwev_h_b(a, b); @@ -529,42 +577,6 @@ static __m256i lasx_packs_h(__m256i a, __m256i b) { return __lasx_xvpickev_b(tmp1, tmp); } -static __m128i lsx_packs_w(__m128i a, __m128i b) { - __m128i tmp, tmp1; - tmp = __lsx_vsat_w(a, 15); - tmp1 = __lsx_vsat_w(b, 15); - return __lsx_vpickev_h(tmp1, tmp); -} - -static __m128i lsx_packs_h(__m128i a, __m128i b) { - __m128i tmp, tmp1; - tmp = __lsx_vsat_h(a, 7); - tmp1 = __lsx_vsat_h(b, 7); - return __lsx_vpickev_b(tmp1, tmp); -} - -static __m128i lsx_packus_h(__m128i a, __m128i b) { - __m128i tmp, tmp1; - tmp = __lsx_vsat_hu(a, 7); - tmp1 = __lsx_vsat_hu(b, 7); - return __lsx_vpickev_b(tmp1, tmp); -} - - -static __m128i lsx_maddubs_h(__m128i a, __m128i b) { - __m128i tmp1, tmp2; - tmp1 = __lsx_vmulwev_h_b(a, b); - tmp2 = __lsx_vmulwod_h_b(a, b); - return __lsx_vsadd_h(tmp1, tmp2); -} - -static __m128i lsx_madd_h(__m128i a, __m128i b) { - __m128i tmp1, tmp2; - tmp1 = __lsx_vmulwev_w_h(a, b); - tmp2 = __lsx_vmulwod_w_h(a, b); - return __lsx_vadd_w(tmp1, tmp2); -} - // multiply int8_t, add results pairwise twice static inline __m128i mul_sum_i8_pairs(const __m128i x, const __m128i y) { // Get absolute values of x vectors @@ -2232,21 +2244,22 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * r } sumf = hsum_float_8(acc); + #elif defined(__loongarch_sx) // set constants const __m128i low_mask = __lsx_vreplgr2vr_b(0xF); const __m128i off = __lsx_vreplgr2vr_b(8); // Initialize accumulator with zeros - __m128 acc_0 = __lsx_vldi(0); - __m128 acc_1 = __lsx_vldi(0); - __m128 acc_2 = __lsx_vldi(0); - __m128 acc_3 = __lsx_vldi(0); + __m128 acc_0 = (__m128)__lsx_vldi(0); + __m128 acc_1 = (__m128)__lsx_vldi(0); + __m128 acc_2 = (__m128)__lsx_vldi(0); + __m128 acc_3 = (__m128)__lsx_vldi(0); for (; ib + 1 < nb; ib += 2) { // Compute combined scale for the block 0 and 1 - const __m128 d_0_1 = __lsx_vreplgr2vr_w( GGML_FP16_TO_FP32(x[ib].d) * GGML_FP16_TO_FP32(y[ib].d) ); + const __m128 d_0_1 = (__m128)__lsx_vreplgr2vr_w( GGML_FP16_TO_FP32(x[ib].d) * GGML_FP16_TO_FP32(y[ib].d) ); const __m128i tmp_0_1 = __lsx_vld((const __m128i *)x[ib].qs, 0); @@ -2264,7 +2277,7 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * r //_mm_prefetch(&y[ib] + 2 * sizeof(block_q8_0), _MM_HINT_T0); // Compute combined scale for the block 2 and 3 - const __m128 d_2_3 = __lsx_vreplgr2vr_w( GGML_FP16_TO_FP32(x[ib + 1].d) * GGML_FP16_TO_FP32(y[ib + 1].d) ); + const __m128 d_2_3 = (__m128)__lsx_vreplgr2vr_w( GGML_FP16_TO_FP32(x[ib + 1].d) * GGML_FP16_TO_FP32(y[ib + 1].d) ); const __m128i tmp_2_3 = __lsx_vld((const __m128i *)x[ib + 1].qs, 0); From c0d4843225eed38903ea71ef302a02fa0b27f048 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Adrien=20Gallou=C3=ABt?= Date: Thu, 6 Feb 2025 12:08:13 +0100 Subject: [PATCH 132/162] build : fix llama.pc (#11658) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Adrien Gallouët --- CMakeLists.txt | 2 +- cmake/llama.pc.in | 10 +++++----- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index 74b48d24d..7b2a1845e 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -233,4 +233,4 @@ configure_file(cmake/llama.pc.in @ONLY) install(FILES "${CMAKE_CURRENT_BINARY_DIR}/llama.pc" - DESTINATION lib/pkgconfig) + DESTINATION ${CMAKE_INSTALL_LIBDIR}/pkgconfig) diff --git a/cmake/llama.pc.in b/cmake/llama.pc.in index 0b2b6bcfa..6fb58b5f6 100644 --- a/cmake/llama.pc.in +++ b/cmake/llama.pc.in @@ -1,10 +1,10 @@ prefix=@CMAKE_INSTALL_PREFIX@ -exec_prefix=${prefix} -libdir=${exec_prefix}/lib -includedir=${prefix}/include +exec_prefix=@CMAKE_INSTALL_PREFIX@ +libdir=@CMAKE_INSTALL_FULL_LIBDIR@ +includedir=@CMAKE_INSTALL_FULL_INCLUDEDIR@ Name: llama Description: Port of Facebook's LLaMA model in C/C++ -Version: @PROJECT_VERSION@ -Libs: -L${libdir} -lggml -lggml-base -lllama +Version: @LLAMA_INSTALL_VERSION@ +Libs: -L${libdir} -lggml -lggml-base -lllama Cflags: -I${includedir} From 9dd7a0390feffcc1f4b17eb7692a6e43030d85af Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Thu, 6 Feb 2025 13:41:37 +0200 Subject: [PATCH 133/162] llama : add log about loading model tensors (#11699) --- src/llama-model.cpp | 2 ++ 1 file changed, 2 insertions(+) diff --git a/src/llama-model.cpp b/src/llama-model.cpp index 0487c978b..e30db66e9 100644 --- a/src/llama-model.cpp +++ b/src/llama-model.cpp @@ -1275,6 +1275,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) { const bool use_mmap_buffer = true; + LLAMA_LOG_INFO("%s: loading model tensors, this can take a while... (mmap = %s)\n", __func__, use_mmap_buffer ? "true" : "false"); + // build a list of buffer types for the CPU and GPU devices pimpl->cpu_buft_list = make_cpu_buft_list(devices); for (auto * dev : devices) { From 194b2e69f8da3a22395c74fd9acd6d5835437b96 Mon Sep 17 00:00:00 2001 From: Akarshan Biswas Date: Thu, 6 Feb 2025 17:12:35 +0530 Subject: [PATCH 134/162] SYCL: Adjust support condition for norm operators (#11674) SYCL does not support non contiguous tensors for norm operations --- ggml/src/ggml-sycl/ggml-sycl.cpp | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/ggml/src/ggml-sycl/ggml-sycl.cpp b/ggml/src/ggml-sycl/ggml-sycl.cpp index 2984ed82e..aab34a752 100644 --- a/ggml/src/ggml-sycl/ggml-sycl.cpp +++ b/ggml/src/ggml-sycl/ggml-sycl.cpp @@ -4537,14 +4537,17 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g case GGML_OP_VIEW: case GGML_OP_PERMUTE: case GGML_OP_TRANSPOSE: - case GGML_OP_NORM: case GGML_OP_ADD: case GGML_OP_ADD1: case GGML_OP_LOG: case GGML_OP_SUB: case GGML_OP_MUL: case GGML_OP_DIV: + return true; + case GGML_OP_NORM: case GGML_OP_RMS_NORM: + case GGML_OP_GROUP_NORM: + return ggml_is_contiguous(op->src[0]); case GGML_OP_SCALE: case GGML_OP_SQR: case GGML_OP_SQRT: @@ -4576,7 +4579,6 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g case GGML_OP_SUM_ROWS: case GGML_OP_ARGSORT: case GGML_OP_ACC: - case GGML_OP_GROUP_NORM: case GGML_OP_UPSCALE: case GGML_OP_PAD: case GGML_OP_LEAKY_RELU: From 9ab42dc722ad19a12af80f38a06474d498f96da3 Mon Sep 17 00:00:00 2001 From: Tei Home Date: Thu, 6 Feb 2025 20:16:15 +0800 Subject: [PATCH 135/162] docs: update fedora cuda guide for 12.8 release (#11393) * docs: update fedora cuda guide for 12.8 release * docs: build cuda update --- docs/build.md | 61 ++++++++++++++--- docs/cuda-fedora.md | 159 ++++++++++++++++---------------------------- 2 files changed, 109 insertions(+), 111 deletions(-) diff --git a/docs/build.md b/docs/build.md index dd6495028..afb7a0402 100644 --- a/docs/build.md +++ b/docs/build.md @@ -125,21 +125,66 @@ For detailed info, please refer to [llama.cpp for SYCL](./backend/SYCL.md). ## CUDA -This provides GPU acceleration using an NVIDIA GPU. Make sure to have the CUDA toolkit installed. You can download it from your Linux distro's package manager (e.g. `apt install nvidia-cuda-toolkit`) or from the [NVIDIA developer site](https://developer.nvidia.com/cuda-downloads). +This provides GPU acceleration using an NVIDIA GPU. Make sure to have the [CUDA toolkit](https://developer.nvidia.com/cuda-toolkit) installed. -If you are using Fedora (using Fedora Workstation, or an 'Atomic' variant such as Silverblue), or would like to set up CUDA in a toolbox, please consider our [Fedora CUDA guide](./cuda-fedora.md). Unfortunately, the process is not as simple as one might expect. +#### Download directly from NVIDIA +You may find the official downloads here: [NVIDIA developer site](https://developer.nvidia.com/cuda-downloads). -- Using `CMake`: - ```bash - cmake -B build -DGGML_CUDA=ON - cmake --build build --config Release - ``` +#### Compile and run inside a Fedora Toolbox Container +We also have a [guide](./cuda-fedora.md) for setting up CUDA toolkit in a Fedora [toolbox container](https://containertoolbx.org/). -The environment variable [`CUDA_VISIBLE_DEVICES`](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars) can be used to specify which GPU(s) will be used. +**Recommended for:** + +- ***Particularly*** *convenient* for users of [Atomic Desktops for Fedora](https://fedoraproject.org/atomic-desktops/); such as: [Silverblue](https://fedoraproject.org/atomic-desktops/silverblue/) and [Kinoite](https://fedoraproject.org/atomic-desktops/kinoite/). +- Toolbox is installed by default: [Fedora Workstation](https://fedoraproject.org/workstation/) or [Fedora KDE Plasma Desktop](https://fedoraproject.org/spins/kde). +- *Optionally* toolbox packages are available: [Arch Linux](https://archlinux.org/), [Red Hat Enterprise Linux >= 8.5](https://www.redhat.com/en/technologies/linux-platforms/enterprise-linux), or [Ubuntu](https://ubuntu.com/download) + + +### Compilation +```bash +cmake -B build -DGGML_CUDA=ON +cmake --build build --config Release +``` + +### Override Compute Capability Specifications + +If `nvcc` cannot detect your gpu, you may get compile-warnings such as: + ```text +nvcc warning : Cannot find valid GPU for '-arch=native', default arch is used +``` + +To override the `native` GPU detection: + +#### 1. Take note of the `Compute Capability` of your NVIDIA devices: ["CUDA: Your GPU Compute > Capability"](https://developer.nvidia.com/cuda-gpus). + +```text +GeForce RTX 4090 8.9 +GeForce RTX 3080 Ti 8.6 +GeForce RTX 3070 8.6 +``` + +#### 2. Manually list each varying `Compute Capability` in the `CMAKE_CUDA_ARCHITECTURES` list. + +```bash +cmake -B build -DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES="86;89" +``` + +### Runtime CUDA environmental variables + +You may set the [cuda environmental variables](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars) at runtime. + +```bash +# Use `CUDA_VISIBLE_DEVICES` to hide the first compute device. +CUDA_VISIBLE_DEVICES="-0" ./build/bin/llama-server --model /srv/models/llama.gguf +``` + +### Unified Memory The environment variable `GGML_CUDA_ENABLE_UNIFIED_MEMORY=1` can be used to enable unified memory in Linux. This allows swapping to system RAM instead of crashing when the GPU VRAM is exhausted. In Windows this setting is available in the NVIDIA control panel as `System Memory Fallback`. +### Performance Tuning + The following compilation options are also available to tweak performance: | Option | Legal values | Default | Description | diff --git a/docs/cuda-fedora.md b/docs/cuda-fedora.md index b993386c8..9c88b7694 100644 --- a/docs/cuda-fedora.md +++ b/docs/cuda-fedora.md @@ -1,17 +1,16 @@ # Setting Up CUDA on Fedora In this guide we setup [Nvidia CUDA](https://docs.nvidia.com/cuda/) in a toolbox container. This guide is applicable for: + - [Fedora Workstation](https://fedoraproject.org/workstation/) - [Atomic Desktops for Fedora](https://fedoraproject.org/atomic-desktops/) - [Fedora Spins](https://fedoraproject.org/spins) -- [Other Distributions](https://containertoolbx.org/distros/), including `Red Hat Enterprise Linux >= 8.`, `Arch Linux`, and `Ubuntu`. - +- [Other Distributions](https://containertoolbx.org/distros/), including `Red Hat Enterprise Linux >= 8.5`, `Arch Linux`, and `Ubuntu`. ## Table of Contents - [Prerequisites](#prerequisites) -- [Monitoring NVIDIA CUDA Repositories](#monitoring-nvidia-cuda-repositories) -- [Using the Fedora 39 CUDA Repository](#using-the-fedora-39-cuda-repository) +- [Using the Fedora 41 CUDA Repository](#using-the-fedora-41-cuda-repository) - [Creating a Fedora Toolbox Environment](#creating-a-fedora-toolbox-environment) - [Installing Essential Development Tools](#installing-essential-development-tools) - [Adding the CUDA Repository](#adding-the-cuda-repository) @@ -29,44 +28,33 @@ In this guide we setup [Nvidia CUDA](https://docs.nvidia.com/cuda/) in a toolbox ## Prerequisites - **Toolbox Installed on the Host System** `Fedora Silverblue` and `Fedora Workstation` both have toolbox by default, other distributions may need to install the [toolbox package](https://containertoolbx.org/install/). -- **NVIDIA Drivers and Graphics Card installed on Host System (optional)** To run CUDA program, such as `llama.cpp`, the host should be setup to access your NVIDIA hardware. Fedora Hosts can use the [RPM Fusion Repository](https://rpmfusion.org/Howto/NVIDIA). +- **NVIDIA Drivers and Graphics Card installed on Host System (recommended)** To run CUDA program, such as `llama.cpp`, the host should be setup to access your NVIDIA hardware. Fedora Hosts can use the [RPM Fusion Repository](https://rpmfusion.org/Howto/NVIDIA). - **Internet connectivity** to download packages. -### Monitoring NVIDIA CUDA Repositories +### Using the Fedora 41 CUDA Repository -Before proceeding, it is advisable to check if NVIDIA has updated their CUDA repositories for your Fedora version. NVIDIA's repositories can be found at: +The latest release is 41. -- [Fedora 40 CUDA Repository](https://developer.download.nvidia.com/compute/cuda/repos/fedora40/x86_64/) - [Fedora 41 CUDA Repository](https://developer.download.nvidia.com/compute/cuda/repos/fedora41/x86_64/) -As of the latest update, these repositories do not contain the `cuda` meta-package or are missing essential components. - -### Using the Fedora 39 CUDA Repository - -Since the newer repositories are incomplete, we'll use the Fedora 39 repository: - -- [Fedora 39 CUDA Repository](https://developer.download.nvidia.com/compute/cuda/repos/fedora39/x86_64/) - -**Note:** Fedora 39 is no longer maintained, so we recommend using a toolbox environment to prevent system conflicts. +**Note:** We recommend using a toolbox environment to prevent system conflicts. ## Creating a Fedora Toolbox Environment -This guide focuses on Fedora hosts, but with small adjustments, it can work for other hosts. Using a Fedora 39 toolbox allows us to install the necessary packages without affecting the host system. +This guide focuses on Fedora hosts, but with small adjustments, it can work for other hosts. Using the Fedora Toolbox allows us to install the necessary packages without affecting the host system. **Note:** Toolbox is available for other systems, and even without Toolbox, it is possible to use Podman or Docker. -We do not recommend installing on the host system, as Fedora 39 is out-of-maintenance, and instead you should upgrade to a maintained version of Fedora for your host. - -1. **Create a Fedora 39 Toolbox:** +1. **Create a Fedora 41 Toolbox:** ```bash - toolbox create --image registry.fedoraproject.org/fedora-toolbox:39 --container fedora-toolbox-39-cuda + toolbox create --image registry.fedoraproject.org/fedora-toolbox:41 --container fedora-toolbox-41-cuda ``` 2. **Enter the Toolbox:** ```bash - toolbox enter --container fedora-toolbox-39-cuda + toolbox enter --container fedora-toolbox-41-cuda ``` Inside the toolbox, you have root privileges and can install packages without affecting the host system. @@ -85,7 +73,7 @@ We do not recommend installing on the host system, as Fedora 39 is out-of-mainte sudo dnf install vim-default-editor --allowerasing ``` - The `--allowerasing` flag resolves any package conflicts. + The `--allowerasing` flag will allow the removal of the conflicting `nano-default-editor` package. 3. **Install Development Tools and Libraries:** @@ -100,7 +88,7 @@ We do not recommend installing on the host system, as Fedora 39 is out-of-mainte Add the NVIDIA CUDA repository to your DNF configuration: ```bash -sudo dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/fedora39/x86_64/cuda-fedora39.repo +sudo dnf config-manager addrepo --from-repofile=https://developer.download.nvidia.com/compute/cuda/repos/fedora41/x86_64/cuda-fedora41.repo ``` After adding the repository, synchronize the package manager again: @@ -109,106 +97,62 @@ After adding the repository, synchronize the package manager again: sudo dnf distro-sync ``` -## Installing `nvidia-driver-libs` +## Installing `nvidia-driver-libs` and `nvidia-driver-cuda-libs` -Attempt to install `nvidia-driver-libs`: +We need to detect if the host is supplying the [NVIDIA driver libraries into the toolbox](https://github.com/containers/toolbox/blob/main/src/pkg/nvidia/nvidia.go). ```bash -sudo dnf install nvidia-driver-libs +ls -la /usr/lib64/libcuda.so.1 ``` **Explanation:** -- `nvidia-driver-libs` contains necessary NVIDIA driver libraries required by CUDA. -- This step might fail due to conflicts with existing NVIDIA drivers on the host system. +- `nvidia-driver-libs` and `nvidia-driver-cuda-libs` contains necessary NVIDIA driver libraries required by CUDA, + on hosts with NVIDIA drivers installed the Fedora Container will supply the host libraries. -## Manually Resolving Package Conflicts +### Install Nvidia Driver Libraries on Guest (if `libcuda.so.1` was NOT found). + +```bash +sudo dnf install nvidia-driver-libs nvidia-driver-cuda-libs +``` + +### Manually Updating the RPM database for host-supplied NVIDIA drivers (if `libcuda.so.1` was found). If the installation fails due to conflicts, we'll manually download and install the required packages, excluding conflicting files. -### 1. Download the `nvidia-driver-libs` RPM +#### 1. Download `nvidia-driver-libs` and `nvidia-driver-cuda-libs` RPM's (with dependencies) ```bash -sudo dnf download --arch x86_64 nvidia-driver-libs +sudo dnf download --destdir=/tmp/nvidia-driver-libs --resolve --arch x86_64 nvidia-driver-libs nvidia-driver-cuda-libs ``` -You should see a file similar to: - -``` -nvidia-driver-libs-560.35.05-1.fc39.x86_64.rpm -``` - -### 2. Attempt to Install the RPM +#### 2. Update the RPM database to assume the installation of these packages. ```bash -sudo dnf install nvidia-driver-libs-560.35.05-1.fc39.x86_64.rpm -``` - -**Expected Error:** - -Installation may fail with errors pointing to conflicts with `egl-gbm` and `egl-wayland`. - -**Note: It is important to carefully read the error messages to identify the exact paths that need to be excluded.** - -### 3. Download Dependencies - -```bash -sudo dnf download --arch x86_64 egl-gbm egl-wayland -``` - -### 4. Install `egl-gbm` with Excluded Paths - -Exclude conflicting files during installation: - -```bash -sudo rpm --install --verbose --hash \ - --excludepath=/usr/lib64/libnvidia-egl-gbm.so.1.1.2 \ - --excludepath=/usr/share/egl/egl_external_platform.d/15_nvidia_gbm.json \ - egl-gbm-1.1.2^20240919gitb24587d-3.fc39.x86_64.rpm -``` - -**Explanation:** - -- The `--excludepath` option skips installing files that conflict with existing files. -- Adjust the paths based on the error messages you receive. - -### 5. Install `egl-wayland` with Excluded Paths - -```bash -sudo rpm --install --verbose --hash \ - --excludepath=/usr/share/egl/egl_external_platform.d/10_nvidia_wayland.json \ - egl-wayland-1.1.17^20241118giteeb29e1-5.fc39.x86_64.rpm -``` - -### 6. Install `nvidia-driver-libs` with Excluded Paths - -```bash -sudo rpm --install --verbose --hash \ - --excludepath=/usr/share/glvnd/egl_vendor.d/10_nvidia.json \ - --excludepath=/usr/share/nvidia/nvoptix.bin \ - nvidia-driver-libs-560.35.05-1.fc39.x86_64.rpm +sudo rpm --install --verbose --hash --justdb /tmp/nvidia-driver-libs/* ``` **Note:** -- Replace the paths with the ones causing conflicts in your installation if they differ. -- The `--verbose` and `--hash` options provide detailed output during installation. +- The `--justdb` option only updates the RPM database, without touching the filesystem. -## Finalizing the Installation of `nvidia-driver-libs` +#### Finalizing the Installation of `nvidia-driver-libs` and `nvidia-driver-cuda-libs` After manually installing the dependencies, run: ```bash -sudo dnf install nvidia-driver-libs +sudo dnf install nvidia-driver-libs nvidia-driver-cuda-libs ``` You should receive a message indicating the package is already installed: ``` -Package nvidia-driver-libs-3:560.35.05-1.fc39.x86_64 is already installed. -Dependencies resolved. +Updating and loading repositories: +Repositories loaded. +Package "nvidia-driver-libs-3:570.86.10-1.fc41.x86_64" is already installed. +Package "nvidia-driver-cuda-libs-3:570.86.10-1.fc41.x86_64" is already installed. + Nothing to do. -Complete! ``` ## Installing the CUDA Meta-Package @@ -233,7 +177,7 @@ To use CUDA, add its binary directory to your system's `PATH`. **Explanation:** - - We add to `/etc/profile.d/` as the `/etc/` folder is unique to this particular container, and is not shared with other containers or the host system. + - We add to `/etc/profile.d/` as the `/etc/` folder is unique to this particular container, and is not shared with other containers or the host system. - The backslash `\` before `$PATH` ensures the variable is correctly written into the script. 2. **Make the Script Executable:** @@ -262,26 +206,33 @@ You should see output similar to: ``` nvcc: NVIDIA (R) Cuda compiler driver -Copyright (c) 2005-2024 NVIDIA Corporation -Built on Tue_Oct_29_23:50:19_PDT_2024 -Cuda compilation tools, release 12.6, V12.6.85 -Build cuda_12.6.r12.6/compiler.35059454_0 +Copyright (c) 2005-2025 NVIDIA Corporation +Built on Wed_Jan_15_19:20:09_PST_2025 +Cuda compilation tools, release 12.8, V12.8.61 +Build cuda_12.8.r12.8/compiler.35404655_0 ``` This output confirms that the CUDA compiler is accessible and indicates the installed version. ## Conclusion -You have successfully set up CUDA on Fedora within a toolbox environment using the Fedora 39 CUDA repository. By manually resolving package conflicts and configuring the environment, you can develop CUDA applications without affecting your host system. +You have successfully set up CUDA on Fedora within a toolbox environment using the Fedora 41 CUDA repository. By manually updating the RPM db and configuring the environment, you can develop CUDA applications without affecting your host system. ## Troubleshooting - **Installation Failures:** - - If you encounter errors during installation, carefully read the error messages. They often indicate conflicting files or missing dependencies. - - Use the `--excludepath` option with `rpm` to exclude conflicting files during manual installations. -- **Driver Conflicts:** - - Since the host system may already have NVIDIA drivers installed, conflicts can arise. Using the toolbox environment helps isolate these issues. + - If you encounter errors during installation, carefully read the error messages. They often indicate conflicting files or missing dependencies. + - You may use the `--excludepath` option with `rpm` to exclude conflicting files during manual RPM installations. + +- **Rebooting the Container:** + + - Sometimes there may be a bug in the NVIDIA driver host passthrough (such as missing a shared library). Rebooting the container may solve this issue: + + ```bash + # on the host system + podman container restart --all + ``` - **Environment Variables Not Set:** - If `nvcc` is not found after installation, ensure that `/usr/local/cuda/bin` is in your `PATH`. @@ -291,10 +242,12 @@ You have successfully set up CUDA on Fedora within a toolbox environment using t ## Additional Notes - **Updating CUDA in the Future:** + - Keep an eye on the official NVIDIA repositories for updates to your Fedora version. - When an updated repository becomes available, adjust your `dnf` configuration accordingly. - **Building `llama.cpp`:** + - With CUDA installed, you can follow these [build instructions for `llama.cpp`](https://github.com/ggerganov/llama.cpp/blob/master/docs/build.md) to compile it with CUDA support. - Ensure that any CUDA-specific build flags or paths are correctly set in your build configuration. From 2fb3c32a1634488a5265d1304ab37628eeb5480d Mon Sep 17 00:00:00 2001 From: Xuan-Son Nguyen Date: Thu, 6 Feb 2025 17:32:29 +0100 Subject: [PATCH 136/162] server : (webui) migrate project to ReactJS with typescript (#11688) * init version * fix auto scroll * bring back copy btn * bring back thought process * add lint and format check on CI * remove lang from html tag * allow multiple generations at the same time * lint and format combined * fix unused var * improve MarkdownDisplay * fix more latex * fix code block cannot be selected while generating --- .github/workflows/server.yml | 25 +- examples/server/public/index.html.gz | Bin 1207128 -> 1219985 bytes examples/server/webui/.gitignore | 24 + examples/server/webui/.prettierignore | 10 + examples/server/webui/eslint.config.js | 26 + examples/server/webui/index.html | 353 +- examples/server/webui/package-lock.json | 6655 ++++++++++++----- examples/server/webui/package.json | 48 +- .../webui/public/demo-conversation.json | 2 +- examples/server/webui/src/App.tsx | 36 + examples/server/webui/src/Config.ts | 89 + .../webui/src/components/ChatMessage.tsx | 229 + .../webui/src/components/ChatScreen.tsx | 123 + .../server/webui/src/components/Header.tsx | 182 + .../webui/src/components/MarkdownDisplay.tsx | 254 + .../webui/src/components/SettingDialog.tsx | 306 + .../server/webui/src/components/Sidebar.tsx | 95 + examples/server/webui/src/highlight-config.js | 60 - .../webui/src/{styles.scss => index.scss} | 25 +- examples/server/webui/src/katex-gpt.js | 66 - examples/server/webui/src/main.js | 704 -- examples/server/webui/src/main.tsx | 10 + .../server/webui/src/utils/app.context.tsx | 304 + examples/server/webui/src/utils/misc.ts | 87 + examples/server/webui/src/utils/storage.ts | 138 + examples/server/webui/src/utils/types.ts | 25 + examples/server/webui/src/vite-env.d.ts | 1 + examples/server/webui/tsconfig.app.json | 26 + examples/server/webui/tsconfig.json | 7 + examples/server/webui/tsconfig.node.json | 24 + .../webui/{vite.config.js => vite.config.ts} | 49 +- 31 files changed, 7100 insertions(+), 2883 deletions(-) create mode 100644 examples/server/webui/.gitignore create mode 100644 examples/server/webui/.prettierignore create mode 100644 examples/server/webui/eslint.config.js create mode 100644 examples/server/webui/src/App.tsx create mode 100644 examples/server/webui/src/Config.ts create mode 100644 examples/server/webui/src/components/ChatMessage.tsx create mode 100644 examples/server/webui/src/components/ChatScreen.tsx create mode 100644 examples/server/webui/src/components/Header.tsx create mode 100644 examples/server/webui/src/components/MarkdownDisplay.tsx create mode 100644 examples/server/webui/src/components/SettingDialog.tsx create mode 100644 examples/server/webui/src/components/Sidebar.tsx delete mode 100644 examples/server/webui/src/highlight-config.js rename examples/server/webui/src/{styles.scss => index.scss} (83%) delete mode 100644 examples/server/webui/src/katex-gpt.js delete mode 100644 examples/server/webui/src/main.js create mode 100644 examples/server/webui/src/main.tsx create mode 100644 examples/server/webui/src/utils/app.context.tsx create mode 100644 examples/server/webui/src/utils/misc.ts create mode 100644 examples/server/webui/src/utils/storage.ts create mode 100644 examples/server/webui/src/utils/types.ts create mode 100644 examples/server/webui/src/vite-env.d.ts create mode 100644 examples/server/webui/tsconfig.app.json create mode 100644 examples/server/webui/tsconfig.json create mode 100644 examples/server/webui/tsconfig.node.json rename examples/server/webui/{vite.config.js => vite.config.ts} (58%) diff --git a/.github/workflows/server.yml b/.github/workflows/server.yml index 0cbc3d640..3a29107d0 100644 --- a/.github/workflows/server.yml +++ b/.github/workflows/server.yml @@ -81,13 +81,36 @@ jobs: with: node-version: '22.11.0' + - name: WebUI - Install dependencies + id: webui_lint + run: | + cd examples/server/webui + npm ci + + - name: WebUI - Check code format + id: webui_format + run: | + git config --global --add safe.directory $(realpath .) + cd examples/server/webui + git status + + npm run format + git status + modified_files="$(git status -s)" + echo "Modified files: ${modified_files}" + if [ -n "${modified_files}" ]; then + echo "Files do not follow coding style. To fix: npm run format" + echo "${modified_files}" + exit 1 + fi + - name: Verify bundled index.html id: verify_server_index_html run: | git config --global --add safe.directory $(realpath .) cd examples/server/webui git status - npm ci + npm run build git status modified_files="$(git status -s)" diff --git a/examples/server/public/index.html.gz b/examples/server/public/index.html.gz index e876776e82eeba329b1e808cd46684e32aca94f5..646988ad8e494e1bcccfd2fba6f549796aebd983 100644 GIT binary patch delta 1219129 zcmV(&K;ggG)=81ON`D`V2mk;800062+`ZdY+sd{m`aZwHXs3CrCS}LQ5Q07b<2;?W{eAlrcI&;Wq>^ls%(>RXKI_F+-S55ny|&gG zjlb1uXOkeQ1xbz9k{}v~qUHyos133p9MxjKmQF;?mvNMeXn)lFTdlU2V&*K3r#uaY zJPaRdV-X3-Q!%Oy99v9#ZDq2cvYtM&d3QiUtN~Er^0N;9(;f@=&lgtxfs2V46)$gsQ}DOSdwN!&o+w z;Y3V@Q?wBV<4IZ@ad}(xFb&dBy#3$*-~al5YhlQzyni{I&1wx8P`dS8C8~_cPzJNK z2GhZuX*|k8s9MHJ63bv5L~rl7tbLs^!QMWm6B*yv&K_psy_B(Z1zB_<`F6-$K~owL z_BL%!c;X5&pMRaX&JK@YIi2;0V9sZ0k<+~$;II)k5ypJv5F$mI$*Akc(pBw*aJ2KLzGgx`oQhBk(^zhY 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@@ -1202,21 +1203,28 @@ curl http://localhost:8080/v1/chat/completions \ ```shell # Native support: llama-server --jinja -fa -hf bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M - llama-server --jinja -fa -hf bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M - llama-server --jinja -fa -hf bartowski/Llama-3.2-3B-Instruct-GGUF:Q6_K + llama-server --jinja -fa -hf bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q6_K_L llama-server --jinja -fa -hf bartowski/functionary-small-v3.2-GGUF:Q4_K_M - llama-server --jinja -fa -hf bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M \ - --chat-template-file <( python scripts/get_chat_template.py NousResearch/Hermes-2-Pro-Llama-3-8B ) + llama-server --jinja -fa -hf bartowski/Llama-3.3-70B-Instruct-GGUF:Q4_K_M # Native support requires the right template for these GGUFs: + + llama-server --jinja -fa -hf bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M \ + --chat-template-file <( python scripts/get_chat_template.py NousResearch/Hermes-2-Pro-Llama-3-8B tool_use ) + llama-server --jinja -fa -hf bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M \ --chat-template-file <( python scripts/get_chat_template.py NousResearch/Hermes-3-Llama-3.1-8B tool_use ) + llama-server --jinja -fa -hf bartowski/firefunction-v2-GGUF -hff firefunction-v2-IQ1_M.gguf \ - --chat-template-file <( python scripts/get_chat_template.py fireworks-ai/firellama-3-firefunction-v2 ) + --chat-template-file <( python scripts/get_chat_template.py fireworks-ai/llama-3-firefunction-v2 tool_use ) + + llama-server --jinja -fa -hf bartowski/c4ai-command-r7b-12-2024-GGUF:Q6_K_L \ + --chat-template-file <( python scripts/get_chat_template.py CohereForAI/c4ai-command-r7b-12-2024 tool_use ) # Generic format support - llama-server --jinja -fa -hf bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M - llama-server --jinja -fa -hf bartowski/gemma-2-2b-it-GGUF:Q4_K_M + llama-server --jinja -fa -hf bartowski/phi-4-GGUF:Q4_0 + llama-server --jinja -fa -hf bartowski/gemma-2-2b-it-GGUF:Q8_0 + llama-server --jinja -fa -hf bartowski/c4ai-command-r-v01-GGUF:Q2_K ``` - Test in CLI: diff --git a/examples/server/server.cpp b/examples/server/server.cpp index 3451e96a2..e0acc4705 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -131,6 +131,11 @@ struct slot_params { lora.push_back({{"id", i}, {"scale", this->lora[i].scale}}); } + std::vector grammar_trigger_words; + for (const auto & trigger : sampling.grammar_trigger_words) { + grammar_trigger_words.push_back(trigger.word); + } + return json { {"n_predict", n_predict}, // Server configured n_predict {"seed", sampling.seed}, @@ -165,8 +170,9 @@ struct slot_params { {"n_probs", sampling.n_probs}, {"min_keep", sampling.min_keep}, {"grammar", sampling.grammar}, - // {"grammar_trigger_words", sampling.grammar_trigger_words}, + {"grammar_trigger_words", grammar_trigger_words}, {"grammar_trigger_tokens", sampling.grammar_trigger_tokens}, + {"preserved_tokens", sampling.preserved_tokens}, {"samplers", samplers}, {"speculative.n_max", speculative.n_max}, {"speculative.n_min", speculative.n_min}, @@ -363,12 +369,26 @@ struct server_task { if (ids.size() == 1) { LOG_DBG("Grammar trigger token: %d (`%s`)\n", ids[0], trigger.word.c_str()); params.sampling.grammar_trigger_tokens.push_back(ids[0]); + params.sampling.preserved_tokens.insert(ids[0]); continue; } LOG_DBG("Grammar trigger word: `%s`\n", trigger.word.c_str()); params.sampling.grammar_trigger_words.push_back(trigger); } } + const auto preserved_tokens = data.find("preserved_tokens"); + if (preserved_tokens != data.end()) { + for (const auto & t : *preserved_tokens) { + auto ids = common_tokenize(vocab, t.get(), /* add_special= */ false, /* parse_special= */ true); + if (ids.size() == 1) { + LOG_DBG("Preserved token: %d\n", ids[0]); + params.sampling.preserved_tokens.insert(ids[0]); + } else { + // This may happen when using a tool call style meant for a model with special tokens to preserve on a model without said tokens. + LOG_WRN("Not preserved because more than 1 token (wrong chat template override?): %s\n", t.get().c_str()); + } + } + } if (params.sampling.grammar_lazy) { GGML_ASSERT(params.sampling.grammar_trigger_tokens.size() > 0 || params.sampling.grammar_trigger_words.size() > 0); } @@ -695,19 +715,19 @@ struct server_task_result_cmpl_final : server_task_result { json to_json_oaicompat_chat() { std::string finish_reason = "length"; - common_chat_msg message; + common_chat_msg msg; if (stop == STOP_TYPE_WORD || stop == STOP_TYPE_EOS) { LOG_DBG("Parsing chat message: %s\n", content.c_str()); - message = common_chat_parse(content, oaicompat_chat_format); - finish_reason = message.tool_calls.empty() ? "stop" : "tool_calls"; + msg = common_chat_parse(content, oaicompat_chat_format); + finish_reason = msg.tool_calls.empty() ? "stop" : "tool_calls"; } else { - message.content = content; + msg.content = content; } json tool_calls; - if (!message.tool_calls.empty()) { + if (!msg.tool_calls.empty()) { tool_calls = json::array(); - for (const auto & tc : message.tool_calls) { + for (const auto & tc : msg.tool_calls) { tool_calls.push_back({ {"type", "function"}, {"function", { @@ -719,14 +739,19 @@ struct server_task_result_cmpl_final : server_task_result { } } + json message { + {"content", msg.content}, + {"tool_calls", tool_calls}, + {"role", "assistant"}, + }; + if (!msg.tool_plan.empty()) { + message["tool_plan"] = msg.tool_plan; + } + json choice { {"finish_reason", finish_reason}, {"index", 0}, - {"message", json { - {"content", message.content}, - {"tool_calls", tool_calls}, - {"role", "assistant"}, - }}, + {"message", message}, }; if (!stream && probs_output.size() > 0) { @@ -2833,8 +2858,7 @@ struct server_context { server_slot * slot_batched = nullptr; auto accept_special_token = [&](server_slot & slot, llama_token token) { - const auto & trigger_tokens = slot.params.sampling.grammar_trigger_tokens; - return params_base.special || std::find(trigger_tokens.begin(), trigger_tokens.end(), token) != trigger_tokens.end(); + return params_base.special || slot.params.sampling.preserved_tokens.find(token) != slot.params.sampling.preserved_tokens.end(); }; // frist, add sampled tokens from any ongoing sequences diff --git a/examples/server/utils.hpp b/examples/server/utils.hpp index bfe623c4c..fefdce55b 100644 --- a/examples/server/utils.hpp +++ b/examples/server/utils.hpp @@ -662,6 +662,7 @@ static json oaicompat_completion_params_parse( }); } llama_params["grammar_triggers"] = grammar_triggers; + llama_params["preserved_tokens"] = chat_params.preserved_tokens; for (const auto & stop : chat_params.additional_stops) { llama_params["stop"].push_back(stop); } diff --git a/models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja b/models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja new file mode 100644 index 000000000..078e9f545 --- /dev/null +++ b/models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja @@ -0,0 +1,156 @@ +{{ bos_token }}{%- macro document_turn(documents) -%} +{# format documents into chat turn #} +<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|><|START_THINKING|>I will look through the document to address the users needs.<|END_THINKING|><|START_ACTION|>[ + {"tool_call_id": "0", "tool_name": "direct-injected-document", "parameters": {}} +]<|END_ACTION|><|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|><|START_TOOL_RESULT|>[ + { + "tool_call_id": "0", + "results": { +{% for doc in documents %} + "{{ loop.index0 }}": {{doc|tojson}}{% if not loop.last %}, + {% endif %} +{% endfor %} + + }, + "is_error": null + } +]<|END_TOOL_RESULT|><|END_OF_TURN_TOKEN|>{%- endmacro %} +{%- macro tool_call_id_to_int(messages, tool_call_id) %} +{%- set counter = namespace(value=0) %} +{%- set tool_call_id_seen = namespace(value=false) %} +{%- for msg in messages %} + {%- if msg.tool_calls %} + {%- for tool_call in msg.tool_calls %} + {%- if tool_call.id == tool_call_id and not tool_call_id_seen.value -%} + {{ counter.value }} + {%- set tool_call_id_seen.value = true %} + {%- endif %} + {%- set counter.value = counter.value + 1 %} + {%- endfor %} + {%- endif %} +{%- endfor %} +{%- endmacro %} +{%- macro format_tool_message(messages, tool_msg) -%} +{# format tool message #} + { + "tool_call_id": "{{ tool_call_id_to_int(messages, tool_msg.tool_call_id) }}", + "results": { + "0": {{ tool_msg.content|tojson }} + }, + "is_error": null + } +{%- endmacro -%} +{%- if messages and messages[0]['role']|lower == 'system' %}{%- set developer_preamble = messages[0]['content'] %}{% endif %} +{%- set tool_idx = namespace(value=0) %} +{%- set tool_ids_seen = namespace(value=[]) %} +{%- set sent_documents = namespace(value=false) %} +<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|># System Preamble +You are in contextual safety mode. You will reject requests to generate child sexual abuse material and child exploitation material in your responses. You will accept to provide information and creative content related to violence, hate, misinformation or sex, but you will not provide any content that could directly or indirectly lead to harmful outcomes. + +Your information cutoff date is June 2024. + +You have been trained on data in English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Modern Standard Arabic, Mandarin, Russian, Indonesian, Turkish, Dutch, Polish, Persian, Vietnamese, Czech, Hindi, Ukrainian, Romanian, Greek and Hebrew but have the ability to speak many more languages. +{% if tools or documents %} + +You have been trained to have advanced reasoning and tool-use capabilities and you should make best use of these skills to serve user's requests. + +## Tool Use +Think about how you can make best use of the provided tools to help with the task and come up with a high level plan that you will execute first. + +0. Start by writing <|START_THINKING|> followed by a detailed step by step plan of how you will solve the problem. For each step explain your thinking fully and give details of required tool calls (if needed). Unless specified otherwise, you write your plan in natural language. When you finish, close it out with <|END_THINKING|>. + You can optionally choose to skip this step when the user request is so straightforward to address that only a trivial plan would be needed. + NOTE: You MUST skip this step when you are directly responding to the user's request without using any tools. + +Then carry out your plan by repeatedly executing the following steps. +1. Action: write <|START_ACTION|> followed by a list of JSON-formatted tool calls, with each one containing "tool_name" and "parameters" fields. + When there are multiple tool calls which are completely independent of each other (i.e. they can be executed in parallel), you should list them out all together in one step. When you finish, close it out with <|END_ACTION|>. +2. Observation: you will then receive results of those tool calls in JSON format in the very next turn, wrapped around by <|START_TOOL_RESULT|> and <|END_TOOL_RESULT|>. Carefully observe those results and think about what to do next. Note that these results will be provided to you in a separate turn. NEVER hallucinate results. + Every tool call produces a list of results (when a tool call produces no result or a single result, it'll still get wrapped inside a list). Each result is clearly linked to its originating tool call via its "tool_call_id". +3. Reflection: start the next turn by writing <|START_THINKING|> followed by what you've figured out so far, any changes you need to make to your plan, and what you will do next. When you finish, close it out with <|END_THINKING|>. + You can optionally choose to skip this step when everything is going according to plan and no special pieces of information or reasoning chains need to be recorded. + NOTE: You MUST skip this step when you are done with tool-use actions and are ready to respond to the user. + +You can repeat the above 3 steps multiple times (could be 0 times too if no suitable tool calls are available or needed), until you decide it's time to finally respond to the user. + +4. Response: then break out of the loop and write <|START_RESPONSE|> followed by a piece of text which serves as a response to the user's last request. Use all previous tool calls and results to help you when formulating your response. When you finish, close it out with <|END_RESPONSE|>. +{% if enable_citations %} + +## Grounding +Importantly, note that "Reflection" and "Response" above can be grounded. +Grounding means you associate pieces of texts (called "spans") with those specific tool results that support them (called "sources"). And you use a pair of tags "" and "" to indicate when a span can be grounded onto a list of sources, listing them out in the closing tag. Sources from the same tool call are grouped together and listed as "{tool_call_id}:[{list of result indices}]", before they are joined together by ",". E.g., "span" means that "span" is supported by result 1 and 2 from "tool_call_id=0" as well as result 0 from "tool_call_id=1". +{% endif %} + +## Available Tools +Here is the list of tools that you have available to you. +You can ONLY use the tools listed here. When a tool is not listed below, it is NOT available and you should NEVER attempt to use it. +Each tool is represented as a JSON object with fields like "name", "description", "parameters" (per JSON Schema), and optionally, "responses" (per JSON Schema). + +```json +[ +{% if documents %} + {"name": "direct-injected-document", "description": "This is a special tool to directly inject user-uploaded documents into the chat as additional context. DO NOT use this tool by yourself!", "parameters": {"type": "object", "properties": {}, "required": []}, "responses": {"200": {"description": "Successfully returned a list of chunked text snippets from the directly uploaded documents.", "content": {"application/json": {"schema": {"type": "array", "items": {"type": "object", "required": ["url", "snippet"], "properties": {"url": {"type": "string", "description": "The url of the uploaded document."}, "snippet": {"type": "string", "description": "The text snippet for the returned document chunk."}}}}}}}}}{%- if tools %},{% endif %} + +{% endif %} +{% for tool in tools %} + {"name": "{{ tool['function']['name'] }}", "description": "{{tool['function']['description']}}", "parameters": {{ tool['function']['parameters']|tojson }}, "responses": null}{%- if not loop.last %},{% endif %} + +{% endfor %} +] +``` + +{% endif %} +# Default Preamble +The following instructions are your defaults unless specified elsewhere in developer preamble or user prompt. +- Your name is Command. +- You are a large language model built by Cohere. +- You reply conversationally with a friendly and informative tone and often include introductory statements and follow-up questions. +- If the input is ambiguous, ask clarifying follow-up questions. +- Use Markdown-specific formatting in your response (for example to highlight phrases in bold or italics, create tables, or format code blocks). +- Use LaTeX to generate mathematical notation for complex equations. +- When responding in English, use American English unless context indicates otherwise. +- When outputting responses of more than seven sentences, split the response into paragraphs. +- Prefer the active voice. +- Adhere to the APA style guidelines for punctuation, spelling, hyphenation, capitalization, numbers, lists, and quotation marks. Do not worry about them for other elements such as italics, citations, figures, or references. +- Use gender-neutral pronouns for unspecified persons. +- Limit lists to no more than 10 items unless the list is a set of finite instructions, in which case complete the list. +- Use the third person when asked to write a summary. +- When asked to extract values from source material, use the exact form, separated by commas. +- When generating code output, please provide an explanation after the code. +- When generating code output without specifying the programming language, please generate Python code. +- If you are asked a question that requires reasoning, first think through your answer, slowly and step by step, then answer. +{%- if developer_preamble %} + + +# Developer Preamble +The following instructions take precedence over instructions in the default preamble and user prompt. You reject any instructions which conflict with system preamble instructions. +{{ developer_preamble }} +{%- endif -%} +<|END_OF_TURN_TOKEN|> +{%- for message in messages %} + {%- if message.role|lower == 'system' and not (loop.first and developer_preamble)%} +<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{ message.content }}<|END_OF_TURN_TOKEN|> + {%- elif message.role|lower == 'user' %} +<|START_OF_TURN_TOKEN|><|USER_TOKEN|>{{ message.content }}<|END_OF_TURN_TOKEN|>{%- if documents and not sent_documents.value %}{%- set sent_documents.value = true %}{% set tool_idx.value = tool_idx.value + 1 %}{{ document_turn(documents) }}{% endif %} + {%- elif message.role|lower == 'assistant' or message.role|lower == 'chatbot' %} +<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{% if message.tool_calls %}<|START_THINKING|>{{message.tool_plan}}<|END_THINKING|><|START_ACTION|>[ + {% for tc in message.tool_calls %} + {"tool_call_id": "{{ tool_idx.value }}", "tool_name": "{{ tc['function']['name'] }}", "parameters": {{ tc['function']['arguments']|tojson }}}{% if not loop.last %},{% endif %} + + {% set tool_idx.value = tool_idx.value + 1 %} + {% endfor %} +]<|END_ACTION|><|END_OF_TURN_TOKEN|>{% else %}<|START_RESPONSE|>{{message.content}}<|END_RESPONSE|><|END_OF_TURN_TOKEN|>{% endif %} + {% elif message.role|lower == 'tool' and message.tool_call_id not in tool_ids_seen.value %} +<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|><|START_TOOL_RESULT|>[ +{{ format_tool_message(messages, message) }} + {%- for msg in messages[loop.index0 + 1:] %} + {%- if msg.role|lower == 'tool' %}, +{{ format_tool_message(messages, msg) }} + {%- set tool_ids_seen.value = tool_ids_seen.value + [msg.tool_call_id] %} + {%- else %} + {%- break %} + {%- endif %} + {%- endfor %} + +]<|END_TOOL_RESULT|><|END_OF_TURN_TOKEN|> + {%- endif %} +{%- endfor %}<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|> \ No newline at end of file diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp index ccc65d87a..9956c1f1f 100644 --- a/tests/test-chat.cpp +++ b/tests/test-chat.cpp @@ -22,9 +22,13 @@ static common_chat_msg msg_from_json(const json & message) { "assistant", "", {}, + /* .tool_plan = */ "", }; if (message.contains("content") && !message.at("content").is_null()) { - ret.content = message.at("content").get(); + ret.content = message.at("content"); + } + if (message.contains("tool_plan")) { + ret.tool_plan = message.at("tool_plan"); } auto has_tool_calls = message.contains("tool_calls"); if (has_tool_calls) { @@ -171,8 +175,7 @@ const json llama_3_1_tools = { special_function_tool, code_interpreter_too struct delta_data { std::string delta; - std::string grammar; - common_chat_format format; + common_chat_params params; }; static delta_data init_delta(const common_chat_template & tmpl, const std::vector & end_tokens, @@ -214,7 +217,7 @@ static delta_data init_delta(const common_chat_template & tmpl, const std::vecto break; } } - return { delta, params_full.grammar, params_full.format }; + return { delta, params_full }; } /* @@ -224,7 +227,7 @@ static delta_data init_delta(const common_chat_template & tmpl, const std::vecto */ static void test_template(const common_chat_template & tmpl, const std::vector & end_tokens, const json & test_message, const json & tools = {}, const std::string & expected_delta = "", - bool skip_grammar_test = false, bool skip_parser_test = false) { + bool expect_grammar_triggered = true) { common_chat_msg expected_msg = msg_from_json(test_message); auto user_message = json{ @@ -238,45 +241,110 @@ static void test_template(const common_chat_template & tmpl, const std::vector 0 && trigger.at_start) { + fprintf(stderr, "Trigger %s not at start of message, skipping:\n\n%s\n\n", trigger.word.c_str(), constrained.c_str()); + continue; + } + if (earliest_trigger_pos == std::string::npos || pos < earliest_trigger_pos) { + earliest_trigger_pos = pos; + } + } + auto grammar_triggered = false; + if (earliest_trigger_pos != std::string::npos) { + constrained = constrained.substr(earliest_trigger_pos); + grammar_triggered = true; + } + if (data.params.grammar_lazy) { + assert_equals(expect_grammar_triggered, grammar_triggered); + } + + if (grammar_triggered && !match_string(constrained, grammar.get())) { + throw std::runtime_error("Failed to match delta against grammar:\n\n" + data.delta + + "\n\nGrammar: " + data.params.grammar); } } } } static void test_template_output_parsers() { - auto text_message = json{ + json text_message { { "role", "assistant" }, { "content", "Hello, world!" }, }; - auto tool_call_message = json{ + json tool_calls = json::array({{ + { "type", "function" }, + { "function", { { "name", "special_function" }, { "arguments", "{\"arg1\": 1}" } } }, + }}); + + json tool_call_message { + { "role", "assistant"}, + { "content", {}}, + { "tool_calls", { + { + { "type", "function" }, + { "function", { + { "name", "special_function" }, + { "arguments", "{\"arg1\": 1}" }, + }}, + }, + }}, + }; + json tool_call_message_with_id { + { "role", "assistant"}, + { "content", {}}, + { "tool_calls", { + { + { "type", "function" }, + { "function", { + { "name", "special_function" }, + { "arguments", "{\"arg1\": 1}" }, + }}, + {"id", "123456789"}, + }, + }}, { "role", "assistant" }, { "content", {} }, - { "tool_calls", json{ { - { "type", "function" }, - { "function", { { "name", "special_function" }, { "arguments", "{\"arg1\": 1}" } } }, - } } } + { "tool_calls", tool_calls } + }; + json tool_call_plan_message_with_idx { + { "role", "assistant"}, + { "content", {}}, + { "tool_plan", "I'm not so sure"}, + { "tool_calls", { + { + { "type", "function" }, + { "function", { + { "name", "special_function" }, + { "arguments", "{\"arg1\": 1}" }, + }}, + // Index of the tool call in the tool_calls array + {"id", "0"}, + }, + }}, + { "role", "assistant" }, + { "content", {} }, + { "tool_calls", tool_calls } }; - auto tool_call_message_with_id = json::parse(tool_call_message.dump()); - tool_call_message_with_id["tool_calls"][0]["id"] = "123456789"; auto python_tool_call_message = json{ { "role", "assistant" }, @@ -322,6 +390,27 @@ static void test_template_output_parsers() { inputs_tools_builtin.tools = json::array(); inputs_tools_builtin.tools.push_back(python_tool); + { + // Not supported yet + const common_chat_template tmpl(read_file("models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja"), "", ""); + assert_equals(COMMON_CHAT_FORMAT_GENERIC, common_chat_params_init(tmpl, inputs_tools).format); + } + { + const common_chat_template tmpl(read_file("models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja"), "", ""); + std::vector end_tokens{ "<|END_OF_TURN_TOKEN|>" }; + + assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_params_init(tmpl, inputs_no_tools).format); + assert_equals(COMMON_CHAT_FORMAT_COMMAND_R7B, common_chat_params_init(tmpl, inputs_tools).format); + + test_template(tmpl, end_tokens, tool_call_plan_message_with_idx, tools, + "<|START_THINKING|>I'm not so sure<|END_THINKING|>" + "<|START_ACTION|>[\n" + " {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n" + "]<|END_ACTION|>"); + test_template(tmpl, end_tokens, text_message, tools, + "<|START_RESPONSE|>Hello, world!<|END_RESPONSE|>", + /* expect_grammar_triggered= */ false); + } { const common_chat_template tmpl(read_file("models/templates/google-gemma-2-2b-it.jinja"), "", ""); std::vector end_tokens{ "" }; @@ -362,11 +451,10 @@ static void test_template_output_parsers() { assert_equals(COMMON_CHAT_FORMAT_MISTRAL_NEMO, common_chat_params_init(tmpl, inputs_tools).format); - test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* skip_grammar_test= */ true); + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false); test_template( tmpl, end_tokens, tool_call_message_with_id, tools, - "[TOOL_CALLS][{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}, \"id\": \"123456789\"}]", - /* skip_grammar_test= */ true); + "[TOOL_CALLS][{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}, \"id\": \"123456789\"}]"); } { const common_chat_template tmpl( @@ -388,7 +476,7 @@ static void test_template_output_parsers() { inputs_tools) .format); - test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* skip_grammar_test= */ true); + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false); test_template(tmpl, end_tokens, tool_call_message, tools, "\n" "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" @@ -413,7 +501,7 @@ static void test_template_output_parsers() { inputs_tools_builtin) .format); - // test_template(tmpl, end_tokens, text_message, tools, R"(?)", /* skip_grammar_test= */ true); + // test_template(tmpl, end_tokens, text_message, tools, R"(?)", /* expect_grammar_triggered= */ false); test_template(tmpl, end_tokens, code_interpreter_tool_call_message, llama_3_1_tools, "<|python_tag|>code_interpreter.call(code=\"print('hey')\")"); test_template(tmpl, end_tokens, python_tool_call_message, tools, @@ -428,7 +516,7 @@ static void test_template_output_parsers() { assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X, common_chat_params_init(tmpl, inputs_tools).format); - test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* skip_grammar_test= */ true); + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false); test_template(tmpl, end_tokens, tool_call_message, tools, "{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}"); } @@ -440,7 +528,7 @@ static void test_template_output_parsers() { assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1, common_chat_params_init(tmpl, inputs_tools).format); - test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* skip_grammar_test= */ true); + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false); test_template(tmpl, end_tokens, tool_call_message, tools, "{\"arg1\": 1}"); } @@ -455,7 +543,7 @@ static void test_template_output_parsers() { test_template(tmpl, end_tokens, text_message, {}, "all\n" "Hello, world!", - /* skip_grammar_test= */ true); + /* expect_grammar_triggered= */ false); test_template(tmpl, end_tokens, tool_call_message, tools, "special_function\n" "{\"arg1\": 1}"); @@ -467,7 +555,7 @@ static void test_template_output_parsers() { assert_equals(COMMON_CHAT_FORMAT_FIREFUNCTION_V2, common_chat_params_init(tmpl, inputs_tools).format); - test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* skip_grammar_test= */ true); + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false); test_template(tmpl, end_tokens, tool_call_message, tools, " functools[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]"); } @@ -478,7 +566,7 @@ static void test_template_output_parsers() { assert_equals(COMMON_CHAT_FORMAT_DEEPSEEK_R1, common_chat_params_init(tmpl, inputs_tools).format); - test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* skip_grammar_test= */ true); + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false); test_template(tmpl, end_tokens, tool_call_message, tools, "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n" "```json\n" From 84ec8a58f7b6aad6887bbfbd1321f3ff417341a5 Mon Sep 17 00:00:00 2001 From: Eric Curtin Date: Sun, 2 Feb 2025 16:14:48 +0100 Subject: [PATCH 097/162] Name colors (#11573) It's more descriptive, use #define's so we can use compile-time concatenations. Signed-off-by: Eric Curtin --- common/log.cpp | 10 ---------- common/log.h | 10 ++++++++++ examples/run/run.cpp | 15 ++++++++------- 3 files changed, 18 insertions(+), 17 deletions(-) diff --git a/common/log.cpp b/common/log.cpp index 0b8994ae1..4bfbecf15 100644 --- a/common/log.cpp +++ b/common/log.cpp @@ -14,16 +14,6 @@ void common_log_set_verbosity_thold(int verbosity) { common_log_verbosity_thold = verbosity; } -#define LOG_COL_DEFAULT "\033[0m" -#define LOG_COL_BOLD "\033[1m" -#define LOG_COL_RED "\033[31m" -#define LOG_COL_GREEN "\033[32m" -#define LOG_COL_YELLOW "\033[33m" -#define LOG_COL_BLUE "\033[34m" -#define LOG_COL_MAGENTA "\033[35m" -#define LOG_COL_CYAN "\033[36m" -#define LOG_COL_WHITE "\033[37m" - static int64_t t_us() { return std::chrono::duration_cast(std::chrono::system_clock::now().time_since_epoch()).count(); } diff --git a/common/log.h b/common/log.h index 66605cc69..85dd4393b 100644 --- a/common/log.h +++ b/common/log.h @@ -2,6 +2,16 @@ #include "ggml.h" // for ggml_log_level +#define LOG_COL_DEFAULT "\033[0m" +#define LOG_COL_BOLD "\033[1m" +#define LOG_COL_RED "\033[31m" +#define LOG_COL_GREEN "\033[32m" +#define LOG_COL_YELLOW "\033[33m" +#define LOG_COL_BLUE "\033[34m" +#define LOG_COL_MAGENTA "\033[35m" +#define LOG_COL_CYAN "\033[36m" +#define LOG_COL_WHITE "\033[37m" + #ifndef __GNUC__ # define LOG_ATTRIBUTE_FORMAT(...) #elif defined(__MINGW32__) diff --git a/examples/run/run.cpp b/examples/run/run.cpp index cf61f4add..ca9273155 100644 --- a/examples/run/run.cpp +++ b/examples/run/run.cpp @@ -24,15 +24,16 @@ #include #include +#include "chat-template.hpp" #include "common.h" #include "json.hpp" #include "linenoise.cpp/linenoise.h" #include "llama-cpp.h" -#include "chat-template.hpp" +#include "log.h" #if defined(__unix__) || (defined(__APPLE__) && defined(__MACH__)) || defined(_WIN32) [[noreturn]] static void sigint_handler(int) { - printf("\n\033[0m"); + printf("\n" LOG_COL_DEFAULT); exit(0); // not ideal, but it's the only way to guarantee exit in all cases } #endif @@ -890,7 +891,7 @@ static int check_context_size(const llama_context_ptr & ctx, const llama_batch & const int n_ctx = llama_n_ctx(ctx.get()); const int n_ctx_used = llama_get_kv_cache_used_cells(ctx.get()); if (n_ctx_used + batch.n_tokens > n_ctx) { - printf("\033[0m\n"); + printf(LOG_COL_DEFAULT "\n"); printe("context size exceeded\n"); return 1; } @@ -953,7 +954,7 @@ static int generate(LlamaData & llama_data, const std::string & prompt, std::str batch = llama_batch_get_one(&new_token_id, 1); } - printf("\033[0m"); + printf(LOG_COL_DEFAULT); return 0; } @@ -962,7 +963,7 @@ static int read_user_input(std::string & user_input) { #ifdef WIN32 printf( "\r%*s" - "\r\033[0m%s", + "\r" LOG_COL_DEFAULT "%s", get_terminal_width(), " ", prompt_prefix); std::getline(std::cin, user_input); @@ -999,7 +1000,7 @@ static int generate_response(LlamaData & llama_data, const std::string & prompt, const bool stdout_a_terminal) { // Set response color if (stdout_a_terminal) { - printf("\033[33m"); + printf(LOG_COL_YELLOW); } if (generate(llama_data, prompt, response)) { @@ -1008,7 +1009,7 @@ static int generate_response(LlamaData & llama_data, const std::string & prompt, } // End response with color reset and newline - printf("\n%s", stdout_a_terminal ? "\033[0m" : ""); + printf("\n%s", stdout_a_terminal ? LOG_COL_DEFAULT : ""); return 0; } From 864a0b67a6c8f648c43ce8271f9cb2e12dd5df6e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= Date: Sun, 2 Feb 2025 19:31:09 +0100 Subject: [PATCH 098/162] CUDA: use mma PTX instructions for FlashAttention (#11583) * CUDA: use mma PTX instructions for FlashAttention * __shfl_sync workaround for movmatrix * add __shfl_sync to HIP Co-authored-by: Diego Devesa --- Makefile | 2 +- ggml/include/ggml.h | 2 +- ggml/src/ggml-cuda/CMakeLists.txt | 2 +- ggml/src/ggml-cuda/common.cuh | 6 +- ggml/src/ggml-cuda/fattn-common.cuh | 181 ++++- ggml/src/ggml-cuda/fattn-mma-f16.cuh | 637 +++++++++++++++++ ggml/src/ggml-cuda/fattn-tile-f16.cu | 24 +- ggml/src/ggml-cuda/fattn-tile-f32.cu | 19 +- ggml/src/ggml-cuda/fattn-vec-f16.cuh | 9 +- ggml/src/ggml-cuda/fattn-vec-f32.cuh | 8 +- ggml/src/ggml-cuda/fattn-wmma-f16.cu | 648 ++++++++++++++++++ ggml/src/ggml-cuda/fattn-wmma-f16.cuh | 542 +-------------- ggml/src/ggml-cuda/fattn.cu | 174 ++--- ggml/src/ggml-cuda/mma.cuh | 335 +++++++-- ggml/src/ggml-cuda/mmq.cu | 2 +- ggml/src/ggml-cuda/mmq.cuh | 349 +++++----- .../fattn-mma-f16-instance-cpb16.cu | 10 + .../fattn-mma-f16-instance-cpb32.cu | 10 + .../fattn-mma-f16-instance-cpb64.cu | 10 + .../fattn-mma-f16-instance-cpb8.cu | 10 + .../fattn-wmma-f16-instance-kqfloat-cpb16.cu | 10 - .../fattn-wmma-f16-instance-kqfloat-cpb32.cu | 9 - .../fattn-wmma-f16-instance-kqhalf-cpb16.cu | 10 - .../fattn-wmma-f16-instance-kqhalf-cpb32.cu | 10 - .../fattn-wmma-f16-instance-kqhalf-cpb8.cu | 8 - .../template-instances/generate_cu_files.py | 24 +- ggml/src/ggml-cuda/vendors/hip.h | 1 + ggml/src/ggml-hip/CMakeLists.txt | 2 +- ggml/src/ggml-musa/CMakeLists.txt | 2 +- 29 files changed, 2058 insertions(+), 998 deletions(-) create mode 100644 ggml/src/ggml-cuda/fattn-mma-f16.cuh create mode 100644 ggml/src/ggml-cuda/fattn-wmma-f16.cu create mode 100644 ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb16.cu create mode 100644 ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb32.cu create mode 100644 ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb64.cu create mode 100644 ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb8.cu delete mode 100644 ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb16.cu delete mode 100644 ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb32.cu delete mode 100644 ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb16.cu delete mode 100644 ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb32.cu delete mode 100644 ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb8.cu diff --git a/Makefile b/Makefile index ef152d246..dc3de3cb1 100644 --- a/Makefile +++ b/Makefile @@ -596,7 +596,7 @@ ifdef GGML_RPC OBJ_GGML_EXT += ggml/src/ggml-rpc.o endif # GGML_RPC -OBJ_CUDA_TMPL = $(patsubst %.cu,%.o,$(wildcard ggml/src/ggml-cuda/template-instances/fattn-wmma*.cu)) +OBJ_CUDA_TMPL = $(patsubst %.cu,%.o,$(wildcard ggml/src/ggml-cuda/template-instances/fattn-mma*.cu)) OBJ_CUDA_TMPL += $(patsubst %.cu,%.o,$(wildcard ggml/src/ggml-cuda/template-instances/mmq*.cu)) ifdef GGML_CUDA_FA_ALL_QUANTS diff --git a/ggml/include/ggml.h b/ggml/include/ggml.h index 1198dc1fd..5bd8d9c8b 100644 --- a/ggml/include/ggml.h +++ b/ggml/include/ggml.h @@ -1775,7 +1775,7 @@ extern "C" { struct ggml_tensor * a, int k); -#define GGML_KQ_MASK_PAD 32 +#define GGML_KQ_MASK_PAD 64 // q: [n_embd, n_batch, n_head, 1] // k: [n_embd, n_kv, n_head_kv, 1] diff --git a/ggml/src/ggml-cuda/CMakeLists.txt b/ggml/src/ggml-cuda/CMakeLists.txt index 14761650f..119fd39b8 100644 --- a/ggml/src/ggml-cuda/CMakeLists.txt +++ b/ggml/src/ggml-cuda/CMakeLists.txt @@ -28,7 +28,7 @@ if (CUDAToolkit_FOUND) list(APPEND GGML_HEADERS_CUDA "../../include/ggml-cuda.h") file(GLOB GGML_SOURCES_CUDA "*.cu") - file(GLOB SRCS "template-instances/fattn-wmma*.cu") + file(GLOB SRCS "template-instances/fattn-mma*.cu") list(APPEND GGML_SOURCES_CUDA ${SRCS}) file(GLOB SRCS "template-instances/mmq*.cu") list(APPEND GGML_SOURCES_CUDA ${SRCS}) diff --git a/ggml/src/ggml-cuda/common.cuh b/ggml/src/ggml-cuda/common.cuh index 8d8d3932e..88be8fc8a 100644 --- a/ggml/src/ggml-cuda/common.cuh +++ b/ggml/src/ggml-cuda/common.cuh @@ -148,7 +148,7 @@ typedef float2 dfloat2; #endif // !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= GGML_CUDA_CC_VOLTA #if !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= GGML_CUDA_CC_TURING -#define INT8_MMA_AVAILABLE +#define NEW_MMA_AVAILABLE #endif // !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= GGML_CUDA_CC_TURING #if !(defined(GGML_USE_MUSA) && __MUSA_ARCH__ <= GGML_CUDA_CC_QY1) @@ -159,11 +159,13 @@ static constexpr bool fast_fp16_available(const int cc) { return cc >= GGML_CUDA_CC_PASCAL && cc != 610; } +// Any FP16 tensor cores are available. static constexpr bool fp16_mma_available(const int cc) { return cc < GGML_CUDA_CC_OFFSET_AMD && cc >= GGML_CUDA_CC_VOLTA; } -static constexpr bool int8_mma_available(const int cc) { +// Volta technically had FP16 tensor cores but they work very differently compared to Turing and later. +static constexpr bool new_mma_available(const int cc) { return cc < GGML_CUDA_CC_OFFSET_AMD && cc >= GGML_CUDA_CC_TURING; } diff --git a/ggml/src/ggml-cuda/fattn-common.cuh b/ggml/src/ggml-cuda/fattn-common.cuh index ee9752da6..cfd7c0f44 100644 --- a/ggml/src/ggml-cuda/fattn-common.cuh +++ b/ggml/src/ggml-cuda/fattn-common.cuh @@ -516,6 +516,104 @@ constexpr __device__ dequantize_1_f32_t get_dequantize_1_f32(ggml_type type_V) { nullptr; } +template // D == head size +#if !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) +__launch_bounds__(D, 1) +#endif // !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) +static __global__ void flash_attn_stream_k_fixup( + float * __restrict__ dst, const float2 * __restrict__ dst_fixup, const int ne01, const int ne02, const int ne11) { + const float * dst_fixup_data = ((const float *) dst_fixup) + gridDim.x*(2*2*ncols); + + const int iter_k = ne11 / KQ_stride; + const int iter_j = (ne01 + (ncols - 1)) / ncols; + + const int bidx0 = blockIdx.x; + + const int kbc0 = (bidx0 + 0)*iter_k*iter_j*ne02 / gridDim.x; + const int kbc0_stop = (bidx0 + 1)*iter_k*iter_j*ne02 / gridDim.x; + + const bool did_not_have_any_data = kbc0 == kbc0_stop; + const bool wrote_beginning_of_tile = kbc0 % iter_k == 0; + const bool did_not_write_last = kbc0/iter_k == kbc0_stop/iter_k && kbc0_stop % iter_k != 0; + if (did_not_have_any_data || wrote_beginning_of_tile || did_not_write_last) { + return; + } + + const int channel = kbc0 / (iter_k*iter_j); + const int jt = (kbc0 - channel*iter_k*iter_j) / iter_k; + + dst += jt*ncols*ne02*D + channel*D; + + // Load the partial result that needs a fixup: + float dst_val[ncols] = {0.0f}; + float max_val[ncols] = {0.0f}; + float rowsum[ncols] = {0.0f}; +#pragma unroll + for (int j = 0; j < ncols; ++j) { + if (jt*ncols + j >= ne01) { + break; + } + dst_val[j] = dst[j*ne02*D + threadIdx.x]; + + const float2 tmp = dst_fixup[bidx0*ncols + j]; + max_val[j] = tmp.x; + rowsum[j] = tmp.y; + } + + // Iterate over previous blocks and compute the combined results. + // All CUDA blocks that get here must have a previous block that needs a fixup. + int bidx = bidx0 - 1; + int kbc_stop = kbc0; + while(true) { + const int kbc = bidx*iter_k*iter_j*ne02 / gridDim.x; + if (kbc == kbc_stop) { // Did not have any data. + bidx--; + kbc_stop = kbc; + continue; + } + +#pragma unroll + for (int j = 0; j < ncols; ++j) { + if (jt*ncols + j >= ne01) { + break; + } + const float dst_add = dst_fixup_data[bidx*ncols*D + j*D + threadIdx.x]; + + const float2 tmp = dst_fixup[(gridDim.x + bidx)*ncols + j]; + + // Scale the current and new value accumulators depending on the max. values. + const float max_val_new = fmaxf(max_val[j], tmp.x); + + const float diff_val = max_val[j] - max_val_new; + const float diff_add = tmp.x - max_val_new; + + const float scale_val = diff_val >= SOFTMAX_FTZ_THRESHOLD ? expf(diff_val) : 0.0f; + const float scale_add = diff_add >= SOFTMAX_FTZ_THRESHOLD ? expf(diff_add) : 0.0f; + + dst_val[j] = scale_val*dst_val[j] + scale_add*dst_add; + rowsum[j] = scale_val*rowsum[j] + scale_add*tmp.y; + + max_val[j] = max_val_new; + } + + // If this block started in a previous tile we are done and don't need to combine additional partial results. + if (kbc % iter_k == 0 || kbc/iter_k < kbc0/iter_k) { + break; + } + bidx--; + kbc_stop = kbc; + } + + // Write back final result: +#pragma unroll + for (int j = 0; j < ncols; ++j) { + if (jt*ncols + j >= ne01) { + return; + } + dst[j*ne02*D + threadIdx.x] = dst_val[j] / rowsum[j]; + } +} + template // D == head size #if !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) __launch_bounds__(D, 1) @@ -581,10 +679,11 @@ static void on_no_fattn_vec_case(const int D) { } } -template +// parallel_blocks == 0 is stream-k decomposition +template void launch_fattn( ggml_backend_cuda_context & ctx, ggml_tensor * dst, fattn_kernel_t fattn_kernel, - const int nwarps, const int cols_per_block, const bool need_f16_K, const bool need_f16_V + const int nwarps, const size_t nbytes_shared, const bool need_f16_K, const bool need_f16_V ) { const ggml_tensor * Q = dst->src[0]; const ggml_tensor * K = dst->src[1]; @@ -603,20 +702,23 @@ void launch_fattn( GGML_ASSERT(K->ne[1] % FATTN_KQ_STRIDE == 0 && "Incorrect KV cache padding."); + GGML_ASSERT(Q->ne[3] == 1); + ggml_cuda_pool & pool = ctx.pool(); cudaStream_t main_stream = ctx.stream(); + const int nsm = ggml_cuda_info().devices[ggml_cuda_get_device()].nsm; ggml_cuda_pool_alloc K_f16(pool); ggml_cuda_pool_alloc V_f16(pool); ggml_cuda_pool_alloc dst_tmp(pool); ggml_cuda_pool_alloc dst_tmp_meta(pool); - char * K_data = (char *) K->data; + const char * K_data = (const char *) K->data; size_t nb11 = K->nb[1]; size_t nb12 = K->nb[2]; size_t nb13 = K->nb[3]; - char * V_data = (char *) V->data; + const char * V_data = (const char *) V->data; size_t nb21 = V->nb[1]; size_t nb22 = V->nb[2]; size_t nb23 = V->nb[3]; @@ -649,39 +751,60 @@ void launch_fattn( nb23 = nb23*bs*sizeof(half)/ts; } - if (parallel_blocks > 1) { - dst_tmp.alloc(parallel_blocks*ggml_nelements(KQV)); - dst_tmp_meta.alloc(parallel_blocks*ggml_nrows(KQV)); - } + const int ntiles_x = ((Q->ne[1] + cols_per_block - 1) / cols_per_block); + const int ntiles_total = ntiles_x*Q->ne[2]*Q->ne[3]; const dim3 block_dim(WARP_SIZE, nwarps, 1); - const dim3 blocks_num(parallel_blocks*((Q->ne[1] + cols_per_block - 1) / cols_per_block), Q->ne[2], Q->ne[3]); - const int shmem = 0; + dim3 blocks_num; + if (parallel_blocks == 0) { + // For short contexts it can be faster to have the SMs work on whole tiles because this lets us skip the fixup. + const int tiles_nwaves = (ntiles_total - nsm - 1) / nsm; + const bool tiles_inefficient = 3*nsm < 2*tiles_nwaves*ntiles_total; + const bool short_context = K->ne[1] < 4096; + + const int nblocks_stream_k = 2*nsm; + + blocks_num.x = short_context && !tiles_inefficient ? ntiles_total : nblocks_stream_k; + blocks_num.y = 1; + blocks_num.z = 1; + + dst_tmp_meta.alloc(blocks_num.x*cols_per_block * (2*2 + D) * sizeof(float)); + } else { + blocks_num.x = parallel_blocks*ntiles_x; + blocks_num.y = Q->ne[2]; + blocks_num.z = Q->ne[3]; + + if (parallel_blocks > 1) { + dst_tmp.alloc(parallel_blocks*ggml_nelements(KQV)); + dst_tmp_meta.alloc(parallel_blocks*ggml_nrows(KQV)); + } + } + float scale = 1.0f; float max_bias = 0.0f; float logit_softcap = 0.0f; - memcpy(&scale, (float *) KQV->op_params + 0, sizeof(float)); - memcpy(&max_bias, (float *) KQV->op_params + 1, sizeof(float)); - memcpy(&logit_softcap, (float *) KQV->op_params + 2, sizeof(float)); + memcpy(&scale, (const float *) KQV->op_params + 0, sizeof(float)); + memcpy(&max_bias, (const float *) KQV->op_params + 1, sizeof(float)); + memcpy(&logit_softcap, (const float *) KQV->op_params + 2, sizeof(float)); if (logit_softcap != 0.0f) { scale /= logit_softcap; } const uint32_t n_head = Q->ne[2]; - const uint32_t n_head_log2 = 1u << (uint32_t) floorf(log2f((float) n_head)); + const uint32_t n_head_log2 = 1u << uint32_t(floorf(log2f(float(n_head)))); const float m0 = powf(2.0f, -(max_bias ) / n_head_log2); const float m1 = powf(2.0f, -(max_bias / 2.0f) / n_head_log2); - fattn_kernel<<>>( + fattn_kernel<<>>( (const char *) Q->data, K_data, V_data, mask ? ((const char *) mask->data) : nullptr, - (parallel_blocks) == 1 ? (float *) KQV->data : dst_tmp.ptr, dst_tmp_meta.ptr, + (parallel_blocks) > 1 ? dst_tmp.ptr : (float *) KQV->data, dst_tmp_meta.ptr, scale, max_bias, m0, m1, n_head_log2, logit_softcap, Q->ne[0], Q->ne[1], Q->ne[2], Q->ne[3], K->ne[0], K->ne[1], K->ne[2], K->ne[3], @@ -693,16 +816,22 @@ void launch_fattn( ); CUDA_CHECK(cudaGetLastError()); - if ((parallel_blocks) == 1) { - return; + if constexpr (parallel_blocks == 0) { + if (blocks_num.x % ntiles_total != 0) { // Fixup is only needed if the SMs work on fractional tiles. + const dim3 block_dim_combine(D, 1, 1); + const dim3 blocks_num_combine = blocks_num; + + flash_attn_stream_k_fixup + <<>> + ((float *) KQV->data, dst_tmp_meta.ptr, Q->ne[1], Q->ne[2], K->ne[1]); + } + } else if constexpr (parallel_blocks > 1) { + const dim3 block_dim_combine(D, 1, 1); + const dim3 blocks_num_combine(Q->ne[1], blocks_num.y, blocks_num.z); + + flash_attn_combine_results + <<>> + (dst_tmp.ptr, dst_tmp_meta.ptr, (float *) KQV->data); } - - const dim3 block_dim_combine(D, 1, 1); - const dim3 blocks_num_combine(Q->ne[1], blocks_num.y, blocks_num.z); - const int shmem_combine = 0; - - flash_attn_combine_results - <<>> - (dst_tmp.ptr, dst_tmp_meta.ptr, (float *) KQV->data); CUDA_CHECK(cudaGetLastError()); } diff --git a/ggml/src/ggml-cuda/fattn-mma-f16.cuh b/ggml/src/ggml-cuda/fattn-mma-f16.cuh new file mode 100644 index 000000000..05bc91a3b --- /dev/null +++ b/ggml/src/ggml-cuda/fattn-mma-f16.cuh @@ -0,0 +1,637 @@ +#include "common.cuh" +#include "mma.cuh" +#include "fattn-common.cuh" + +template +static __device__ __forceinline__ void flash_attn_ext_f16_process_tile( + const float2 * const __restrict__ Q_f2, + const half2 * const __restrict__ K_h2, + const half2 * const __restrict__ V_h2, + const half * const __restrict__ maskh, + float2 * const __restrict__ dstk, + float2 * const __restrict__ dstk_fixup, + const float scale, + const float slope, + const float logit_softcap, + const int ne00, + const int ne01, + const int ne02, + const int ne03, + const int ne10, + const int ne11, + const int ne12, + const int ne13, + const int ne31, + const int nb31, + const int nb01, + const int nb02, + const int nb03, + const int nb11, + const int nb12, + const int nb13, + const int nb21, + const int nb22, + const int nb23, + const int ne0, + const int ne1, + const int ne2, + const int ne3, + const int jt, + const int kb0_start, + const int kb0_stop) { +#ifdef NEW_MMA_AVAILABLE + //In this kernel Q, K, V are matrices while i, j, k are matrix indices. + + typedef mma_A_I16K8 mma_A; + typedef mma_B_J8K8 mma_B; + typedef mma_C_I16J8 mma_C_KQ; + typedef mma_C_I16J8 mma_C_VKQ; + + static_assert(nwarps*mma_B::J % ncols == 0, "bad nwarps"); + constexpr int np = nwarps*mma_B::J / ncols; // Number of parallel CUDA warps per Q column. + + static_assert(D % nwarps == 0, "bad D"); + static_assert(KQ_stride % nwarps == 0, "bad KQ_stride"); + + constexpr int D2_padded = D/2 + 4; // Size of D in half2, padded to avoid shared memory bank conflicts. + extern __shared__ half2 tile_KV[]; // Temporary shared buffer for loading K/V data with KQ_stride*D logical elements. + + const int stride_Q = nb01 / sizeof(float2); + const int stride_KV = nb11 / sizeof(half2); + const int stride_mask = nb31 / sizeof(half); + + mma_B Q_B[D/(2*mma_B::K)]; + mma_C_VKQ VKQ_C[D/mma_C_VKQ::I]; + + float2 KQ_rowsum = {0.0f, 0.0f}; + float2 KQ_max = {-FLT_MAX/2.0f, -FLT_MAX/2.0f}; + float2 KQ_max_scale = {0.0f, 0.0f}; + + // Temporarily load Q data into tile_KV, will be loaded into registers afterwards. + // The loading is done with decreasing granularity for D for better memory bandwidth. + const half2 scale_h2 = make_half2(scale, scale); +#pragma unroll + for (int stride_k : {WARP_SIZE, WARP_SIZE/2, WARP_SIZE/4}) { + const int k0_start = stride_k == WARP_SIZE ? 0 : D/2 - (D/2) % (2*stride_k); + const int k0_stop = D/2 - (D/2) % (1*stride_k); + const int stride_j = WARP_SIZE / stride_k; + + if (nwarps*stride_j > ncols && threadIdx.y*stride_j >= ncols) { + break; + } + +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += nwarps*stride_j) { + const int j = j0 + threadIdx.y*stride_j + (stride_k == WARP_SIZE ? 0 : threadIdx.x / stride_k); + + if (jt*ncols + j < ne01) { +#pragma unroll + for (int k0 = k0_start; k0 < k0_stop; k0 += stride_k) { + const int k = k0 + (stride_k == WARP_SIZE ? threadIdx.x : threadIdx.x % stride_k); + + const float2 tmp = Q_f2[(jt*ncols + j)*stride_Q + k]; + tile_KV[j*D2_padded + k] = scale_h2 * make_half2(tmp.x, tmp.y); + } + } else { +#pragma unroll + for (int k0 = k0_start; k0 < k0_stop; k0 += stride_k) { + const int k = k0 + (stride_k == WARP_SIZE ? threadIdx.x : threadIdx.x % stride_k); + + tile_KV[j*D2_padded + k] = make_half2(0.0f, 0.0f); + } + } + } + } + + __syncthreads(); + + { + const int j0 = (threadIdx.y / np) * mma_B::J; + +#pragma unroll + for (int k0 = 0; k0 < D/2; k0 += mma_B::K) { + Q_B[k0/mma_B::K].load_ldmatrix(tile_KV + j0*D2_padded + k0, D2_padded); + } + } + + __syncthreads(); + + // Iterate over ne11 == previous tokens: + for (int kb0 = kb0_start; kb0 < kb0_stop; ++kb0) { + const int k_VKQ_0 = kb0*KQ_stride; + mma_C_KQ KQ_C[KQ_stride/(np*mma_C_KQ::I)]; + + // Load K data into tile with decreasing granularity for D for better memory bandwidth: + static_assert(KQ_stride % (4*nwarps) == 0, "out of bounds"); +#pragma unroll + for (int stride_k : {WARP_SIZE, WARP_SIZE/2, WARP_SIZE/4}) { + const int k0_start = stride_k == WARP_SIZE ? 0 : D/2 - (D/2) % (2*stride_k); + const int k0_stop = D/2 - (D/2) % (1*stride_k); + const int stride_i = WARP_SIZE / stride_k; + +#pragma unroll + for (int i_KQ_0 = 0; i_KQ_0 < KQ_stride; i_KQ_0 += nwarps*stride_i) { + const int i_KQ = i_KQ_0 + threadIdx.y*stride_i + (stride_k == WARP_SIZE ? 0 : threadIdx.x / stride_k); + +#pragma unroll + for (int k_KQ_0 = k0_start; k_KQ_0 < k0_stop; k_KQ_0 += stride_k) { + const int k_KQ = k_KQ_0 + (stride_k == WARP_SIZE ? threadIdx.x : threadIdx.x % stride_k); + + tile_KV[i_KQ*D2_padded + k_KQ] = K_h2[(k_VKQ_0 + i_KQ)*stride_KV + k_KQ]; + } + } + } + + __syncthreads(); + + // Calculate tile of KQ: +#pragma unroll + for (int i_KQ_00 = 0; i_KQ_00 < KQ_stride; i_KQ_00 += np*mma_A::I) { + const int i_KQ_0 = i_KQ_00 + (threadIdx.y % np)*mma_A::I; +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < D/2; k_KQ_0 += mma_A::K) { + mma_A K_A; + K_A.load_ldmatrix(tile_KV + i_KQ_0*D2_padded + k_KQ_0, D2_padded); + KQ_C[i_KQ_00/(np*mma_A::I)].mma(K_A, Q_B[k_KQ_0/mma_A::K]); + } + } + + __syncthreads(); + + if (use_logit_softcap) { + static_assert(KQ_stride % (np*mma_C_KQ::I) == 0, "bad loop size"); +#pragma unroll + for (int i = 0; i < KQ_stride/(np*mma_C_KQ::I); ++i) { +#pragma unroll + for (int l = 0; l < mma_C_KQ::ne; ++l) { + KQ_C[i].x[l] = logit_softcap*tanhf(KQ_C[i].x[l]); + } + } + } + + if (maskh) { + static_assert(KQ_stride % (np *mma_C_KQ::I) == 0, "bad loop size"); + static_assert(ncols % (nwarps/np*mma_C_KQ::J) == 0, "bad loop size"); +#pragma unroll + for (int i00 = 0; i00 < KQ_stride; i00 += np*mma_C_KQ::I) { + const int i0 = i00 + (threadIdx.y % np)*mma_C_KQ::I; +#pragma unroll + for (int l = 0; l < mma_C_KQ::ne; ++l) { + const int i = i0 + mma_C_KQ::get_i(l); + const int j = (threadIdx.y / np)*mma_C_KQ::J + mma_C_KQ::get_j(l); + + KQ_C[i00/(np*mma_C_KQ::I)].x[l] += slope*__half2float(maskh[j*stride_mask + k_VKQ_0 + i]); + } + } + } + + // Calculate softmax for each KQ column using the current max. value. + // The divisor is stored in KQ_rowsum and will be applied at the end. + float2 KQ_max_new = KQ_max; + static_assert(KQ_stride % (np*mma_C_KQ::I) == 0, "bad loop size"); +#pragma unroll + for (int k = 0; k < KQ_stride/(np*mma_C_KQ::I); ++k) { +#pragma unroll + for (int l0 = 0; l0 < mma_C_KQ::ne; l0 += 2) { + KQ_max_new.x = fmaxf(KQ_max_new.x, KQ_C[k].x[l0 + 0]); + KQ_max_new.y = fmaxf(KQ_max_new.y, KQ_C[k].x[l0 + 1]); + } + } + + // Values per KQ column are spread across 8 threads, does not need full warp reduce: +#pragma unroll + for (int offset = 16; offset > 2; offset >>= 1) { + KQ_max_new.x = fmaxf(KQ_max_new.x, __shfl_xor_sync(0xFFFFFFFF, KQ_max_new.x, offset, WARP_SIZE)); + KQ_max_new.y = fmaxf(KQ_max_new.y, __shfl_xor_sync(0xFFFFFFFF, KQ_max_new.y, offset, WARP_SIZE)); + } + + { + const float2 diff = make_float2(KQ_max.x - KQ_max_new.x, KQ_max.y - KQ_max_new.y); + KQ_max_scale = make_float2(expf(diff.x), expf(diff.y)); + if (diff.x <= SOFTMAX_FTZ_THRESHOLD) { + KQ_max_scale.x = 0.0f; + } + if (diff.y <= SOFTMAX_FTZ_THRESHOLD) { + KQ_max_scale.y = 0.0f; + } + KQ_max = KQ_max_new; + } + + float2 KQ_rowsum_add = make_float2(0.0f, 0.0f); + static_assert(KQ_stride % (np*mma_C_KQ::I) == 0, "bad loop size"); +#pragma unroll + for (int k = 0; k < KQ_stride/(np*mma_C_KQ::I); ++k) { +#pragma unroll + for (int l = 0; l < mma_C_KQ::ne; ++l) { + const float KQ_max_l = l % 2 == 0 ? KQ_max.x : KQ_max.y; + const float diff = KQ_C[k].x[l] - KQ_max_l; + KQ_C[k].x[l] = expf(diff); + if (diff <= SOFTMAX_FTZ_THRESHOLD) { + KQ_C[k].x[l] = 0.0f; + } + + if (l % 2 == 0) { + KQ_rowsum_add.x += KQ_C[k].x[l]; + } else { + KQ_rowsum_add.y += KQ_C[k].x[l]; + } + } + } + + // Scale previous KQ_rowsum to account for a potential increase in KQ_max: + KQ_rowsum.x = KQ_max_scale.x*KQ_rowsum.x + KQ_rowsum_add.x; + KQ_rowsum.y = KQ_max_scale.y*KQ_rowsum.y + KQ_rowsum_add.y; + + const half2 KQ_max_scale_h2 = make_half2(KQ_max_scale.x, KQ_max_scale.y); +#pragma unroll + for (int i = 0; i < D/mma_C_VKQ::I; ++i) { +#pragma unroll + for (int l = 0; l < mma_C_VKQ::ne; ++l) { + VKQ_C[i].x[l] *= KQ_max_scale_h2; + } + } + + // Convert KQ C tiles into B tiles for VKQ calculation: + mma_B B[KQ_stride/(np*2*mma_B::K)]; + static_assert(KQ_stride % (np*2*mma_B::K) == 0, "bad loop size"); +#pragma unroll + for (int k = 0; k < KQ_stride/(np*2*mma_B::K); ++k) { + B[k] = KQ_C[k].to_mma_B(); + } + + // Load V data into tile with decreasing granularity for D for better memory bandwidth: + static_assert(KQ_stride % (4*nwarps) == 0, "out of bounds"); +#pragma unroll + for (int stride_i : {WARP_SIZE, WARP_SIZE/2, WARP_SIZE/4}) { + const int i0_start = stride_i == WARP_SIZE ? 0 : D/2 - (D/2) % (2*stride_i); + const int i0_stop = D/2 - (D/2) % (1*stride_i); + const int stride_k = WARP_SIZE / stride_i; + +#pragma unroll + for (int k_V_0 = 0; k_V_0 < KQ_stride; k_V_0 += nwarps*stride_k) { + const int k_V = k_V_0 + threadIdx.y*stride_k + (stride_i == WARP_SIZE ? 0 : threadIdx.x / stride_i); + +#pragma unroll + for (int i_V_0 = i0_start; i_V_0 < i0_stop; i_V_0 += stride_i) { + const int i_V = i_V_0 + (stride_i == WARP_SIZE ? threadIdx.x : threadIdx.x % stride_i); + + tile_KV[k_V*D2_padded + i_V] = V_h2[(k_VKQ_0 + k_V)*stride_KV + i_V]; + } + } + } + + __syncthreads(); + + // Calculate VKQ tile: +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D; i_VKQ_0 += mma_C_VKQ::I) { + static_assert((KQ_stride/2) % (np*mma_A::K) == 0, "bad loop size"); +#pragma unroll + for (int k00 = 0; k00 < KQ_stride/2; k00 += np*mma_A::K) { + const int k0 = k00 + (threadIdx.y % np)*mma_A::K; + + mma_A A; + A.load_ldmatrix_trans(tile_KV + 2*k0*D2_padded + i_VKQ_0/2, D2_padded); + VKQ_C[i_VKQ_0/mma_C_VKQ::I].mma(A, B[k00/(np*mma_A::K)]); + } + } + + __syncthreads(); + } + + // Finally, sum up partial KQ rowsums. + // The partial sums are spread across 8 threads each, does not need full reduce. +#pragma unroll + for (int offset = 16; offset > 2; offset >>= 1) { + KQ_rowsum.x += __shfl_xor_sync(0xFFFFFFFF, KQ_rowsum.x, offset, WARP_SIZE); + KQ_rowsum.y += __shfl_xor_sync(0xFFFFFFFF, KQ_rowsum.y, offset, WARP_SIZE); + } + + // Write VKQ accumulators to shared memory in column-major format. + // It's faster to do small writes to shared memory, then large write to VRAM than to do small writes to VRAM. + // Also for np > 1 the combination is done via these values in shared memory. + const int j_cwd = threadIdx.y*mma_B::J + mma_B::get_j(-1); // j combine write data +#pragma unroll + for (int k0 = 0; k0 < D/2; k0 += mma_B::K) { + const mma_B B = VKQ_C[k0/mma_B::K].to_mma_B(); // Conversion of C to B matrix puts it in column-major format. + +#pragma unroll + for (int l = 0; l < mma_B::ne; ++l) { + const int k = k0 + mma_B::get_k(l); + + tile_KV[j_cwd*D2_padded + k] = B.x[l]; + } + } + + const int j_cwmo = (threadIdx.x % (2*mma_C_VKQ::J)) / mma_C_VKQ::J; // j combine write meta offset + const int j_cwm = threadIdx.y*(2*mma_C_VKQ::J) + 2*mma_C_VKQ::get_j(-1) + j_cwmo; // j combine write meta + const float2 KQ_cmr = make_float2(((const float *) &KQ_max)[j_cwmo], ((const float *) &KQ_rowsum)[j_cwmo]); // KQ combine max rowsum + + if (((!needs_fixup && !is_fixup) || np > 1) && threadIdx.x < 2*mma_C_VKQ::J) { + // Use the 16 bytes of padding in each row to store the meta data: KQ max, KQ rowsum, KQ max scale. + ((float2 *) tile_KV)[j_cwm*(D2_padded/2) + D/4] = KQ_cmr; + } + + __syncthreads(); + + static_assert(np == 1 || np == 2 || np == 4, "bad np"); + if (np == 1) { + // No combination is needed, the meta data can be directly written from registers to VRAM. + if (needs_fixup && threadIdx.x < mma_B::J) { + float2 * dstk_fixup_meta = dstk_fixup + blockIdx.x*ncols; + dstk_fixup_meta[j_cwm] = KQ_cmr; + } + if (is_fixup && threadIdx.x < mma_B::J) { + float2 * dstk_fixup_meta = dstk_fixup + (gridDim.x + blockIdx.x)*ncols; + dstk_fixup_meta[j_cwm] = KQ_cmr; + } + } else if (threadIdx.y % np == 0) { + // Combine the meta data for parallel warps via shared memory. + // Warps with threadIdx.y % np != 0 must NOT return early. + // All threads must return simultaneously to avoid race conditions with work on the next tile. + + float * meta_j = (float *) tile_KV + (threadIdx.y*mma_B::J + threadIdx.x)*D2_padded + D/2; + + float KQ_cm = -FLT_MAX/2; // KQ combine max per parallel warp. + if (np*mma_B::J == WARP_SIZE || threadIdx.x < np*mma_B::J) { + KQ_cm = meta_j[0]; + } + + float KQ_cmn = KQ_cm; // KQ combine max new, max between all parallel warps. +#pragma unroll + for (int offset = np*mma_B::J/2; offset >= mma_B::J; offset >>= 1) { + KQ_cmn = fmaxf(KQ_cmn, __shfl_xor_sync(0xFFFFFFFF, KQ_cmn, offset, WARP_SIZE)); + } + + const float KQ_cms = expf(KQ_cm - KQ_cmn); // KQ combine max scale per warp. + float KQ_crs = 0.0f; // KQ combine rowsum, scaled sum of all parallel warps. + if (np*mma_B::J == WARP_SIZE || threadIdx.x < np*mma_B::J) { + KQ_crs = KQ_cms*meta_j[1]; + } +#pragma unroll + for (int offset = np*mma_B::J/2; offset >= mma_B::J; offset >>= 1) { + KQ_crs += __shfl_xor_sync(0xFFFFFFFF, KQ_crs, offset, WARP_SIZE); + } + + // Write back combined meta data: + if (np*mma_B::J == WARP_SIZE || threadIdx.x < np*mma_B::J) { + meta_j[0] = KQ_cmn; // Combined max. KQ values. + meta_j[1] = KQ_crs; // Combined KQ rowsums. + meta_j[2] = KQ_cms; // KQ max scales per parallel warp. + } + if (needs_fixup && threadIdx.x < mma_B::J) { + float2 * dstk_fixup_meta = dstk_fixup + blockIdx.x*ncols; + dstk_fixup_meta[(threadIdx.y/np)*mma_B::J + threadIdx.x] = make_float2(KQ_cmn, KQ_crs); + } + if (is_fixup && threadIdx.x < mma_B::J) { + float2 * dstk_fixup_meta = dstk_fixup + (gridDim.x + blockIdx.x)*ncols; + dstk_fixup_meta[(threadIdx.y/np)*mma_B::J + threadIdx.x] = make_float2(KQ_cmn, KQ_crs); + } + } + + if (np > 1) { + __syncthreads(); + } + + if (np == 1 || threadIdx.y % np == 0) { + // The first 2*2*gridDim.x*ncols floats in dstk_fixup are for storing max. values and row sums. + // The values after that are for the partial results of the individual blocks. + float2 * dstk_fixup_data = dstk_fixup + gridDim.x*(2*ncols) + blockIdx.x*(ncols*(D/2)); + +#pragma unroll + for (int stride_k : {WARP_SIZE, WARP_SIZE/2, WARP_SIZE/4}) { + const int k0_start = stride_k == WARP_SIZE ? 0 : D/2 - (D/2) % (2*stride_k); + const int k0_stop = D/2 - (D/2) % (1*stride_k); + const int stride_j = WARP_SIZE / stride_k; + + if (nwarps*stride_j > ncols && threadIdx.y*stride_j >= ncols) { + break; + } + +#pragma unroll + for (int j0_dst = 0; j0_dst < ncols; j0_dst += (nwarps/np)*stride_j) { + const int j_dst = j0_dst + (threadIdx.y/np)*stride_j + (stride_k == WARP_SIZE ? 0 : threadIdx.x / stride_k); + const int j_tile_KV = (j_dst/mma_B::J)*(np*mma_B::J) + j_dst % mma_B::J; + + if (!is_fixup && jt*ncols + j_dst >= ne01) { + continue; + } + const float * meta_j = (const float *) tile_KV + j_tile_KV*D2_padded + D/2; +#pragma unroll + for (int k0 = k0_start; k0 < k0_stop; k0 += stride_k) { + const int k = k0 + (stride_k == WARP_SIZE ? threadIdx.x : threadIdx.x % stride_k); + + float2 dstk_val = make_float2(0.0f, 0.0f); +#pragma unroll + for (int ip = 0; ip < np; ++ip) { + const float KQ_crs = np == 1 ? 1.0f : meta_j[ip*mma_B::J*D2_padded + 2]; + const float2 dstk_val_add = __half22float2(tile_KV[(j_tile_KV + ip*mma_B::J)*D2_padded + k]); + dstk_val.x += dstk_val_add.x*KQ_crs; + dstk_val.y += dstk_val_add.y*KQ_crs; + } + + if (!needs_fixup && !is_fixup) { + const float KQ_rowsum_j = meta_j[1]; + dstk_val.x /= KQ_rowsum_j; + dstk_val.y /= KQ_rowsum_j; + } + + if (is_fixup) { + dstk_fixup_data[j_dst*(D/2) + k] = dstk_val; + } else { + dstk[(jt*ncols + j_dst)*ne02*(D/2) + k] = dstk_val; + } + } + } + } + } + + if (np > 1) { + __syncthreads(); + } +#else + NO_DEVICE_CODE; +#endif // NEW_MMA_AVAILABLE +} + +template +#if !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) +__launch_bounds__(nwarps*WARP_SIZE, 2) +#endif // !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) +static __global__ void flash_attn_ext_f16( + const char * __restrict__ Q, + const char * __restrict__ K, + const char * __restrict__ V, + const char * __restrict__ mask, + float * __restrict__ dst, + float2 * __restrict__ dst_meta, + const float scale, + const float max_bias, + const float m0, + const float m1, + const uint32_t n_head_log2, + const float logit_softcap, + const int ne00, + const int ne01, + const int ne02, + const int ne03, + const int ne10, + const int ne11, + const int ne12, + const int ne13, + const int ne31, + const int nb31, + const int nb01, + const int nb02, + const int nb03, + const int nb11, + const int nb12, + const int nb13, + const int nb21, + const int nb22, + const int nb23, + const int ne0, + const int ne1, + const int ne2, + const int ne3) { + // Skip unused kernel variants for faster compilation: + if (use_logit_softcap && !(D == 128 || D == 256)) { + NO_DEVICE_CODE; + return; + } + + static_assert(FATTN_KQ_STRIDE % KQ_stride == 0, "bad KQ_stride"); + + const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix. + + const int iter_k = ne11 / KQ_stride; + const int iter_j = (ne01 + (ncols - 1)) / ncols; + + // kbc == k block continuous, current index in continuous ijk space. + int kbc = (blockIdx.x + 0)*iter_k*iter_j*ne02 / gridDim.x; + const int kbc_stop = (blockIdx.x + 1)*iter_k*iter_j*ne02 / gridDim.x; + + // If the seams of 2 CUDA blocks fall within an output tile their results need to be combined. + // For this we need to track both the block that starts the tile (needs_fixup) and the block that finishes the tile (is_fixup). + // In the most general case >2 seams can fall into the same tile. + + // kb0 == k start index when in the output tile. + int kb0_start = kbc % iter_k; + int kb0_stop = min(iter_k, kb0_start + kbc_stop - kbc); + while (kbc < kbc_stop && kb0_stop == iter_k) { + const int channel = kbc / (iter_k*iter_j); + const int jt = (kbc - channel*iter_k*iter_j) / iter_k; // j index of current tile. + + const float2 * Q_f2 = (const float2 *) (Q + nb02* channel); + const half2 * K_h2 = (const half2 *) (K + nb12*(channel / gqa_ratio)); + const half2 * V_h2 = (const half2 *) (V + nb12*(channel / gqa_ratio)); // K and V have same shape + const half * maskh = mask ? (const half *) mask + (nb31/sizeof(half))*jt*ncols : nullptr; + float2 * dstk = ((float2 *) dst) + channel*(D/2); + + const float slope = get_alibi_slope(max_bias, channel, n_head_log2, m0, m1); + + constexpr bool is_fixup = false; // All but (potentially) the last iterations write their data to dst rather than the fixup buffer. + if (kb0_start == 0) { + constexpr bool needs_fixup = false; // CUDA block is working on an entire tile. + flash_attn_ext_f16_process_tile + (Q_f2, K_h2, V_h2, maskh, dstk, dst_meta, scale, slope, logit_softcap, + ne00, ne01, ne02, ne03, ne10, ne11, ne12, ne13, ne31, nb31, nb01, nb02, nb03, nb11, nb12, nb13, nb21, nb22, nb23, ne0, ne1, ne2, ne3, + jt, kb0_start, kb0_stop); + } else { + constexpr bool needs_fixup = true; // CUDA block is working on the beginning of a tile. + flash_attn_ext_f16_process_tile + (Q_f2, K_h2, V_h2, maskh, dstk, dst_meta, scale, slope, logit_softcap, + ne00, ne01, ne02, ne03, ne10, ne11, ne12, ne13, ne31, nb31, nb01, nb02, nb03, nb11, nb12, nb13, nb21, nb22, nb23, ne0, ne1, ne2, ne3, + jt, kb0_start, kb0_stop); + } + + kbc += iter_k; + kbc -= kbc % iter_k; + + kb0_start = 0; + kb0_stop = min(iter_k, kbc_stop - kbc); + } + + if (kbc >= kbc_stop) { + return; + } + + const int channel = kbc / (iter_k*iter_j); + const int jt = (kbc - channel*iter_k*iter_j) / iter_k; // j index of current tile. + + const float2 * Q_f2 = (const float2 *) (Q + nb02* channel); + const half2 * K_h2 = (const half2 *) (K + nb12*(channel / gqa_ratio)); + const half2 * V_h2 = (const half2 *) (V + nb12*(channel / gqa_ratio)); // K and V have same shape + const half * maskh = mask ? (const half *) mask + (nb31/sizeof(half))*jt*ncols : nullptr; + float2 * dstk = ((float2 *) dst) + channel*(D/2); + + const float slope = get_alibi_slope(max_bias, channel, n_head_log2, m0, m1); + + constexpr bool is_fixup = true; // Last index writes its data to fixup buffer to avoid data races with other blocks. + constexpr bool needs_fixup = false; + flash_attn_ext_f16_process_tile + (Q_f2, K_h2, V_h2, maskh, dstk, dst_meta, scale, slope, logit_softcap, + ne00, ne01, ne02, ne03, ne10, ne11, ne12, ne13, ne31, nb31, nb01, nb02, nb03, nb11, nb12, nb13, nb21, nb22, nb23, ne0, ne1, ne2, ne3, + jt, kb0_start, kb0_stop); +} + +template +void ggml_cuda_flash_attn_ext_mma_f16_case(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { + typedef mma_A_I16K8 mma_A; + typedef mma_B_J8K8 mma_B; + + static_assert(D % mma_B::K == 0, "bad D"); + static_assert(cols_per_block % mma_B::J == 0, "bad cols_per_block"); + + const ggml_tensor * KQV = dst; + + constexpr int KQ_stride = D <= 128 ? 64 : 32; + constexpr int nwarps = (KQ_stride == 32 && cols_per_block <= 16) ? + cols_per_block/mma_B::J * KQ_stride/mma_A::I : (cols_per_block <= 8 ? 4 : 8); + constexpr size_t nbytes_shared = std::max(KQ_stride, nwarps*mma_B::J) * (D + 8) * sizeof(half); + + float logit_softcap; + memcpy(&logit_softcap, (const float *) KQV->op_params + 2, sizeof(float)); + + fattn_kernel_t fattn_kernel; + if (logit_softcap == 0.0f) { + constexpr bool use_logit_softcap = false; + fattn_kernel = flash_attn_ext_f16; + } else { + constexpr bool use_logit_softcap = true; + fattn_kernel = flash_attn_ext_f16; + } + launch_fattn(ctx, dst, fattn_kernel, nwarps, nbytes_shared, true, true); +} + +#define DECL_FATTN_MMA_F16_CASE(D, cols_per_block) \ + template void ggml_cuda_flash_attn_ext_mma_f16_case \ + (ggml_backend_cuda_context & ctx, ggml_tensor * dst) \ + +extern DECL_FATTN_MMA_F16_CASE( 64, 8); +extern DECL_FATTN_MMA_F16_CASE( 80, 8); +extern DECL_FATTN_MMA_F16_CASE( 96, 8); +extern DECL_FATTN_MMA_F16_CASE(112, 8); +extern DECL_FATTN_MMA_F16_CASE(128, 8); +extern DECL_FATTN_MMA_F16_CASE(256, 8); + +extern DECL_FATTN_MMA_F16_CASE( 64, 16); +extern DECL_FATTN_MMA_F16_CASE( 80, 16); +extern DECL_FATTN_MMA_F16_CASE( 96, 16); +extern DECL_FATTN_MMA_F16_CASE(112, 16); +extern DECL_FATTN_MMA_F16_CASE(128, 16); +extern DECL_FATTN_MMA_F16_CASE(256, 16); + +extern DECL_FATTN_MMA_F16_CASE( 64, 32); +extern DECL_FATTN_MMA_F16_CASE( 80, 32); +extern DECL_FATTN_MMA_F16_CASE( 96, 32); +extern DECL_FATTN_MMA_F16_CASE(112, 32); +extern DECL_FATTN_MMA_F16_CASE(128, 32); +extern DECL_FATTN_MMA_F16_CASE(256, 32); + +extern DECL_FATTN_MMA_F16_CASE( 64, 64); +extern DECL_FATTN_MMA_F16_CASE( 80, 64); +extern DECL_FATTN_MMA_F16_CASE( 96, 64); +extern DECL_FATTN_MMA_F16_CASE(112, 64); +extern DECL_FATTN_MMA_F16_CASE(128, 64); +extern DECL_FATTN_MMA_F16_CASE(256, 64); diff --git a/ggml/src/ggml-cuda/fattn-tile-f16.cu b/ggml/src/ggml-cuda/fattn-tile-f16.cu index 4d314dacb..d4edbad07 100644 --- a/ggml/src/ggml-cuda/fattn-tile-f16.cu +++ b/ggml/src/ggml-cuda/fattn-tile-f16.cu @@ -45,7 +45,17 @@ static __global__ void flash_attn_tile_ext_f16( const int ne2, const int ne3) { #ifdef FP16_AVAILABLE + +#ifndef FLASH_ATTN_AVAILABLE + NO_DEVICE_CODE; + return; +#endif // FLASH_ATTN_AVAILABLE + // Skip unused kernel variants for faster compilation: +#ifdef FP16_MMA_AVAILABLE + NO_DEVICE_CODE; + return; +#endif // FP16_MMA_AVAILABLE if (use_logit_softcap && !(D == 128 || D == 256)) { NO_DEVICE_CODE; return; @@ -288,16 +298,18 @@ void launch_fattn_tile_f16_64_128(ggml_backend_cuda_context & ctx, ggml_tensor * const ggml_tensor * Q = dst->src[0]; switch (Q->ne[0]) { case 64: { - constexpr int D = 64; - constexpr int nwarps = 8; + constexpr int D = 64; + constexpr int nwarps = 8; + constexpr size_t nbytes_shared = 0; fattn_kernel_t fattn_kernel = flash_attn_tile_ext_f16; - launch_fattn(ctx, dst, fattn_kernel, nwarps, cols_per_block, true, true); + launch_fattn(ctx, dst, fattn_kernel, nwarps, nbytes_shared, true, true); } break; case 128: { - constexpr int D = 128; - constexpr int nwarps = 8; + constexpr int D = 128; + constexpr int nwarps = 8; + constexpr size_t nbytes_shared = 0; fattn_kernel_t fattn_kernel = flash_attn_tile_ext_f16; - launch_fattn(ctx, dst, fattn_kernel, nwarps, cols_per_block, true, true); + launch_fattn(ctx, dst, fattn_kernel, nwarps, nbytes_shared, true, true); } break; default: { GGML_ABORT("FlashAttention without tensor cores only supports head sizes 64 and 128."); diff --git a/ggml/src/ggml-cuda/fattn-tile-f32.cu b/ggml/src/ggml-cuda/fattn-tile-f32.cu index bb3360447..0d274f332 100644 --- a/ggml/src/ggml-cuda/fattn-tile-f32.cu +++ b/ggml/src/ggml-cuda/fattn-tile-f32.cu @@ -48,7 +48,12 @@ static __global__ void flash_attn_tile_ext_f32( NO_DEVICE_CODE; return; #endif // FLASH_ATTN_AVAILABLE + // Skip unused kernel variants for faster compilation: +#ifdef FP16_MMA_AVAILABLE + NO_DEVICE_CODE; + return; +#endif // FP16_MMA_AVAILABLE if (use_logit_softcap && !(D == 128 || D == 256)) { NO_DEVICE_CODE; return; @@ -287,16 +292,18 @@ void launch_fattn_tile_f32_64_128(ggml_backend_cuda_context & ctx, ggml_tensor * const ggml_tensor * Q = dst->src[0]; switch (Q->ne[0]) { case 64: { - constexpr int D = 64; - constexpr int nwarps = 8; + constexpr int D = 64; + constexpr int nwarps = 8; + constexpr size_t nbytes_shared = 0; fattn_kernel_t fattn_kernel = flash_attn_tile_ext_f32; - launch_fattn(ctx, dst, fattn_kernel, nwarps, cols_per_block, true, true); + launch_fattn(ctx, dst, fattn_kernel, nwarps, nbytes_shared, true, true); } break; case 128: { - constexpr int D = 128; - constexpr int nwarps = 8; + constexpr int D = 128; + constexpr int nwarps = 8; + constexpr size_t nbytes_shared = 0; fattn_kernel_t fattn_kernel = flash_attn_tile_ext_f32; - launch_fattn(ctx, dst, fattn_kernel, nwarps, cols_per_block, true, true); + launch_fattn(ctx, dst, fattn_kernel, nwarps, nbytes_shared, true, true); } break; default: { GGML_ABORT("FlashAttention without tensor cores only supports head sizes 64 and 128."); diff --git a/ggml/src/ggml-cuda/fattn-vec-f16.cuh b/ggml/src/ggml-cuda/fattn-vec-f16.cuh index 34a2992c7..d9ac44246 100644 --- a/ggml/src/ggml-cuda/fattn-vec-f16.cuh +++ b/ggml/src/ggml-cuda/fattn-vec-f16.cuh @@ -42,6 +42,12 @@ static __global__ void flash_attn_vec_ext_f16( const int ne2, const int ne3) { #ifdef FP16_AVAILABLE + +#ifndef FLASH_ATTN_AVAILABLE + NO_DEVICE_CODE; + return; +#endif // FLASH_ATTN_AVAILABLE + // Skip unused kernel variants for faster compilation: if (use_logit_softcap && !(D == 128 || D == 256)) { NO_DEVICE_CODE; @@ -303,7 +309,8 @@ void ggml_cuda_flash_attn_ext_vec_f16_case_impl(ggml_backend_cuda_context & ctx, fattn_kernel_t fattn_kernel = flash_attn_vec_ext_f16; constexpr bool need_f16_K = D != 128; constexpr bool need_f16_V = D != 128 && D != 64; - launch_fattn(ctx, dst, fattn_kernel, nwarps, cols_per_block, need_f16_K, need_f16_V); + constexpr size_t nbytes_shared = 0; + launch_fattn(ctx, dst, fattn_kernel, nwarps, nbytes_shared, need_f16_K, need_f16_V); } template diff --git a/ggml/src/ggml-cuda/fattn-vec-f32.cuh b/ggml/src/ggml-cuda/fattn-vec-f32.cuh index a28fc8b7f..6ef8f9dcc 100644 --- a/ggml/src/ggml-cuda/fattn-vec-f32.cuh +++ b/ggml/src/ggml-cuda/fattn-vec-f32.cuh @@ -41,6 +41,11 @@ static __global__ void flash_attn_vec_ext_f32( const int ne1, const int ne2, const int ne3) { +#ifndef FLASH_ATTN_AVAILABLE + NO_DEVICE_CODE; + return; +#endif // FLASH_ATTN_AVAILABLE + // Skip unused kernel variants for faster compilation: if (use_logit_softcap && !(D == 128 || D == 256)) { NO_DEVICE_CODE; @@ -284,7 +289,8 @@ void ggml_cuda_flash_attn_ext_vec_f32_case_impl(ggml_backend_cuda_context & ctx, fattn_kernel_t fattn_kernel = flash_attn_vec_ext_f32; constexpr bool need_f16_K = D != 128; constexpr bool need_f16_V = D != 128 && D != 64; - launch_fattn(ctx, dst, fattn_kernel, nwarps, cols_per_block, need_f16_K, need_f16_V); + constexpr size_t nbytes_shared = 0; + launch_fattn(ctx, dst, fattn_kernel, nwarps, nbytes_shared, need_f16_K, need_f16_V); } template diff --git a/ggml/src/ggml-cuda/fattn-wmma-f16.cu b/ggml/src/ggml-cuda/fattn-wmma-f16.cu new file mode 100644 index 000000000..1054ff95d --- /dev/null +++ b/ggml/src/ggml-cuda/fattn-wmma-f16.cu @@ -0,0 +1,648 @@ +// Old and deprecated WMMA FlashAttention implementation. +// It is still needed for Volta since the memory layout of NVIDIA tensor cores changed with Turing. +// Long-term the WMMA code should be replaced with a dedicated Volta implementation. + +#include "common.cuh" +#include "fattn-common.cuh" +#include "fattn-wmma-f16.cuh" + +#ifdef FP16_MMA_AVAILABLE +#include +#endif // FP16_MMA_AVAILABLE + +// D == head size, VKQ_stride == num VKQ rows calculated in parallel: +template +#if !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) +__launch_bounds__(nwarps*WARP_SIZE, 1) +#endif // !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) +static __global__ void flash_attn_ext_f16( + const char * __restrict__ Q, + const char * __restrict__ K, + const char * __restrict__ V, + const char * __restrict__ mask, + float * __restrict__ dst, + float2 * __restrict__ dst_meta, + const float scale, + const float max_bias, + const float m0, + const float m1, + const uint32_t n_head_log2, + const float logit_softcap, + const int ne00, + const int ne01, + const int ne02, + const int ne03, + const int ne10, + const int ne11, + const int ne12, + const int ne13, + const int ne31, + const int nb31, + const int nb01, + const int nb02, + const int nb03, + const int nb11, + const int nb12, + const int nb13, + const int nb21, + const int nb22, + const int nb23, + const int ne0, + const int ne1, + const int ne2, + const int ne3) { +#if __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA + // Skip unused kernel variants for faster compilation: + if (use_logit_softcap && !(D == 128 || D == 256)) { + NO_DEVICE_CODE; + return; + } + + //In this kernel Q, K, V are matrices while i, j, k are matrix indices. + + const int ic0 = ncols*(blockIdx.x / parallel_blocks); // Index of the first Q/QKV column to work on. + const int ip = blockIdx.x % parallel_blocks; // Index in group of blocks running for the same column in parallel. + + static_assert(D <= FATTN_KQ_STRIDE, "D must be <= FATTN_KQ_STRIDE."); + static_assert(ncols == 8 || ncols % 16 == 0, "ncols must be 8 or a multiple of 16."); + constexpr int frag_m = ncols == 8 ? 32 : 16; + constexpr int frag_n = ncols == 8 ? 8 : 16; + static_assert(D % frag_m == 0, "If ncols == 8 then D % frag_m must be 0."); + typedef nvcuda::wmma::fragment frag_a_K; + typedef nvcuda::wmma::fragment frag_a_V; + typedef nvcuda::wmma::fragment frag_b; + typedef nvcuda::wmma::fragment frag_c_KQ; + typedef nvcuda::wmma::fragment frag_c_VKQ; + + constexpr int KQ_stride_tc = nwarps*frag_m; // Number of KQ rows calculated in parallel. + constexpr int VKQ_ratio = KQ_stride_tc/VKQ_stride; // Number of parallel VKQ accumulators needed to keep all warps busy. + static_assert(VKQ_ratio <= nwarps, "VKQ_ratio must be <= nwarps."); + + // Pad internal representation of KQ, KQV to reduce shared memory bank conflicts: + constexpr int D_padded = D + 8; + constexpr int kqs_padded = FATTN_KQ_STRIDE + 8; + constexpr int kqar = sizeof(KQ_acc_t)/sizeof(half); + + const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix. + const float * Q_f = (const float *) (Q + nb02* blockIdx.y + nb01*ic0); + const half * K_h = (const half *) (K + nb12*(blockIdx.y / gqa_ratio)); + const half * V_h = (const half *) (V + nb12*(blockIdx.y / gqa_ratio)); // K and V have same shape + const half * maskh = (const half *) mask + (nb31/sizeof(half))* ic0; + const half2 * mask2 = (const half2 *) mask + (nb31/sizeof(half))*(ic0/2); + + const int stride_Q = nb01 / sizeof(float); + const int stride_KV = nb11 / sizeof(half); + + const float slopef = get_alibi_slope(max_bias, blockIdx.y, n_head_log2, m0, m1); + const half slopeh = __float2half(slopef); + const half2 slope2 = make_half2(slopef, slopef); + + const half2 logit_softcap_2 = make_half2(logit_softcap, logit_softcap); + + frag_b Q_b[D/16][ncols/frag_n]; + + // A single buffer for temporarily holding tiles of KQ and VKQ parts: + constexpr int mem_KQ = ncols*kqs_padded*kqar; + constexpr int mem_VKQ_parts = VKQ_ratio*ncols*D_padded; + __shared__ half KQ[mem_KQ >= mem_VKQ_parts ? mem_KQ : mem_VKQ_parts]; + float * KQ_f = (float *) KQ; + half2 * KQ2 = (half2 *) KQ; + + float KQ_rowsum_f[ncols/nwarps] = {0.0f}; + float KQ_max_f[ncols/nwarps]; + float KQ_max_scale_f[ncols/nwarps] = {0.0f}; + +#pragma unroll + for (int j = 0; j < ncols/nwarps; ++j) { + KQ_max_f[j] = -FLT_MAX/2.0f; + } + + half2 KQ_rowsum_h2[ncols/nwarps] = {{0.0f, 0.0f}}; + half2 KQ_max_h2[ncols/nwarps]; + half2 KQ_max_scale_h2[ncols/nwarps] = {{0.0f, 0.0f}}; + +#pragma unroll + for (int j = 0; j < ncols/nwarps; ++j) { + KQ_max_h2[j] = make_half2(-HALF_MAX_HALF, -HALF_MAX_HALF); + } + + __shared__ half VKQ[ncols*D_padded]; // Accumulator for final VKQ slice. + half2 * VKQ2 = (half2 *) VKQ; +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += nwarps) { + const int j = j0 + threadIdx.y; +#pragma unroll + for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) { + const int i = i0 + threadIdx.x; + if (i0 + WARP_SIZE > D/2 && i >= D/2) { + break; + } + VKQ2[j*(D_padded/2) + i] = make_half2(0.0f, 0.0f); + } + } + + // Convert Q to half and apply scale, temporarily store in KQ: +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += nwarps) { + const int j = j0 + threadIdx.y; +#pragma unroll + for (int i0 = 0; i0 < D; i0 += WARP_SIZE) { + const int i = i0 + threadIdx.x; + if (i0 + WARP_SIZE > D && i >= D) { + break; + } + KQ[j*D_padded + i] = ic0 + j < ne01 ? Q_f[j*stride_Q + i] * scale : 0.0f; + } + } + + __syncthreads(); + + // Load Q into tensor core fragments/registers since it will be used frequently: +#pragma unroll + for (int i0 = 0; i0 < D; i0 += 16) { +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += frag_n) { + nvcuda::wmma::load_matrix_sync(Q_b[i0/16][j0/frag_n], KQ + j0*D_padded + i0, D_padded); + } + } + + __syncthreads(); + + // Iterate over ne11 == previous tokens: + for (int k_VKQ_0 = ip*FATTN_KQ_STRIDE; k_VKQ_0 < ne11; k_VKQ_0 += parallel_blocks*FATTN_KQ_STRIDE) { + // Calculate tile of KQ: +#pragma unroll + for (int i_KQ_0 = 0; i_KQ_0 < FATTN_KQ_STRIDE; i_KQ_0 += KQ_stride_tc) { + frag_c_KQ KQ_c[ncols/frag_n]; +#pragma unroll + for (int j = 0; j < ncols/frag_n; ++j) { + nvcuda::wmma::fill_fragment(KQ_c[j], 0.0f); + } +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < D; k_KQ_0 += 16) { + frag_a_K K_a; + nvcuda::wmma::load_matrix_sync(K_a, K_h + (k_VKQ_0 + i_KQ_0 + frag_m*threadIdx.y)*stride_KV + k_KQ_0, stride_KV); +#pragma unroll + for (int j = 0; j < ncols/frag_n; ++j) { + nvcuda::wmma::mma_sync(KQ_c[j], K_a, Q_b[k_KQ_0/16][j], KQ_c[j]); + } + } +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += frag_n) { + nvcuda::wmma::store_matrix_sync((KQ_acc_t *) KQ + j0*kqs_padded + i_KQ_0 + frag_m*threadIdx.y, KQ_c[j0/frag_n], kqs_padded, nvcuda::wmma::mem_col_major); + } + } + + __syncthreads(); + + // Calculate softmax for each KQ column using the current max. value. + // The divisor is stored in KQ_rowsum and will be applied at the end. +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += nwarps) { + const int j = j0 + threadIdx.y; + + if (std::is_same::value) { + float KQ_f_tmp[FATTN_KQ_STRIDE / WARP_SIZE]; +#pragma unroll + for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += WARP_SIZE) { + const int k = k0 + threadIdx.x; + + KQ_f_tmp[k0/WARP_SIZE] = KQ_f[j*kqs_padded + k]; + + if (use_logit_softcap) { + KQ_f_tmp[k0/WARP_SIZE] = logit_softcap*tanhf(KQ_f_tmp[k0/WARP_SIZE]); + } + } + + float KQ_max_new = KQ_max_f[j0/nwarps]; +#pragma unroll + for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += WARP_SIZE) { + const int k = k0 + threadIdx.x; + + KQ_f_tmp[k0/WARP_SIZE] += mask ? __half2float(slopeh*maskh[j*(nb31/sizeof(half)) + k_VKQ_0 + k]) : 0.0f; + KQ_max_new = max(KQ_max_new, KQ_f_tmp[k0/WARP_SIZE]); + } + KQ_max_new = warp_reduce_max(KQ_max_new); + + const float diff = KQ_max_f[j0/nwarps] - KQ_max_new; + KQ_max_scale_f[j0/nwarps] = expf(diff); + if (diff <= SOFTMAX_FTZ_THRESHOLD) { + KQ_max_scale_f[j0/nwarps] = 0.0f; + } + KQ_max_f[j0/nwarps] = KQ_max_new; + + float KQ_rowsum_add = 0.0f; +#pragma unroll + for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += WARP_SIZE) { + const int k = k0 + threadIdx.x; + + const float diff = KQ_f_tmp[k0/WARP_SIZE] - KQ_max_f[j0/nwarps]; + KQ_f_tmp[k0/WARP_SIZE] = expf(diff); + if (diff <= SOFTMAX_FTZ_THRESHOLD) { + KQ_f_tmp[k0/WARP_SIZE] = 0.0f; + } + KQ_rowsum_add += KQ_f_tmp[k0/WARP_SIZE]; + KQ[j*(kqar*kqs_padded) + k] = KQ_f_tmp[k0/WARP_SIZE]; + } + KQ_rowsum_add = warp_reduce_sum(KQ_rowsum_add); + + // Scale previous KQ_rowsum to account for a potential increase in KQ_max: + KQ_rowsum_f[j0/nwarps] = KQ_max_scale_f[j0/nwarps]*KQ_rowsum_f[j0/nwarps] + KQ_rowsum_add; + } else { + half2 KQ2_tmp[FATTN_KQ_STRIDE/(2*WARP_SIZE)]; +#pragma unroll + for (int k0 = 0; k0 < FATTN_KQ_STRIDE/2; k0 += WARP_SIZE) { + const int k = k0 + threadIdx.x; + + KQ2_tmp[k0/WARP_SIZE] = KQ2[j*(kqs_padded/2) + k]; + + if (use_logit_softcap) { + // There is no dedicated tangens hyperbolicus function for half2. + KQ2_tmp[k0/WARP_SIZE] = h2exp(KQ2_tmp[k0/WARP_SIZE]*make_half2(2.0f, 2.0f)); + KQ2_tmp[k0/WARP_SIZE] = (KQ2_tmp[k0/WARP_SIZE] - make_half2(1.0f, 1.0f)) + /(KQ2_tmp[k0/WARP_SIZE] + make_half2(1.0f, 1.0f)); + + KQ2_tmp[k0/WARP_SIZE] *= logit_softcap_2; + } + } + + half2 KQ_max_new = KQ_max_h2[j0/nwarps]; +#pragma unroll + for (int k0 = 0; k0 < FATTN_KQ_STRIDE/2; k0 += WARP_SIZE) { + const int k = k0 + threadIdx.x; + + KQ2_tmp[k0/WARP_SIZE] += mask ? slope2*mask2[(j*ne11 + k_VKQ_0)/2 + k] : make_half2(0.0f, 0.0f); + KQ_max_new = ggml_cuda_hmax2(KQ_max_new, KQ2_tmp[k0/WARP_SIZE]); + } + KQ_max_new = __half2half2(warp_reduce_max(ggml_cuda_hmax(__low2half(KQ_max_new), __high2half(KQ_max_new)))); + const half2 diff = KQ_max_h2[j0/nwarps] - KQ_max_new; + KQ_max_scale_h2[j0/nwarps] = h2exp(diff); + const uint32_t ftz_mask = __hgt2_mask(diff, make_half2(SOFTMAX_FTZ_THRESHOLD, SOFTMAX_FTZ_THRESHOLD)); + *((uint32_t *) &KQ_max_scale_h2[j0/nwarps]) &= ftz_mask; + KQ_max_h2[j0/nwarps] = KQ_max_new; + + half2 KQ_rowsum_add = make_half2(0.0f, 0.0f); +#pragma unroll + for (int k0 = 0; k0 < FATTN_KQ_STRIDE/2; k0 += WARP_SIZE) { + const int k = k0 + threadIdx.x; + + const half2 diff = KQ2_tmp[k0/WARP_SIZE] - KQ_max_h2[j0/nwarps]; + KQ2_tmp[k0/WARP_SIZE] = h2exp(diff); + const uint32_t ftz_mask = __hgt2_mask(diff, make_half2(SOFTMAX_FTZ_THRESHOLD, SOFTMAX_FTZ_THRESHOLD)); + *((uint32_t *) &KQ2_tmp[k0/WARP_SIZE]) &= ftz_mask; + KQ_rowsum_add += KQ2_tmp[k0/WARP_SIZE]; + KQ2[j*(kqs_padded/2) + k] = KQ2_tmp[k0/WARP_SIZE]; + } + KQ_rowsum_add = warp_reduce_sum(KQ_rowsum_add); + + // Scale previous KQ_rowsum to account for a potential increase in KQ_max: + KQ_rowsum_h2[j0/nwarps] = KQ_max_scale_h2[j0/nwarps]*KQ_rowsum_h2[j0/nwarps] + KQ_rowsum_add; + } + } + + __syncthreads(); + + frag_b KQ_b[FATTN_KQ_STRIDE/(VKQ_ratio*16)][ncols/frag_n]; +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += frag_n) { +#pragma unroll + for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += VKQ_ratio*16) { + const int k = k0 + (threadIdx.y % VKQ_ratio)*16; + nvcuda::wmma::load_matrix_sync( + KQ_b[k0/(VKQ_ratio*16)][j0/frag_n], + KQ + j0*(kqar*kqs_padded) + k, + kqar*kqs_padded); + } + } + + frag_c_VKQ VKQ_c[D/VKQ_stride][ncols/frag_n]; +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D; i_VKQ_0 += VKQ_stride) { +#pragma unroll + for (int j = 0; j < ncols/frag_n; ++j) { + nvcuda::wmma::fill_fragment(VKQ_c[i_VKQ_0/VKQ_stride][j], 0.0f); + } + +#pragma unroll + for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += VKQ_ratio*16) { + const int k = k0 + (threadIdx.y % VKQ_ratio)*16; + + frag_a_V v_a; + nvcuda::wmma::load_matrix_sync(v_a, V_h + (k_VKQ_0 + k)*stride_KV + i_VKQ_0 + frag_m*(threadIdx.y/VKQ_ratio), stride_KV); +#pragma unroll + for (int j = 0; j < ncols/frag_n; ++j) { + nvcuda::wmma::mma_sync(VKQ_c[i_VKQ_0/VKQ_stride][j], v_a, KQ_b[k0/(VKQ_ratio*16)][j], VKQ_c[i_VKQ_0/VKQ_stride][j]); + } + } + } + + __syncthreads(); + + const int offset_k = (threadIdx.y % VKQ_ratio) * (ncols*D_padded); +#pragma unroll + for (int i_KQ_0 = 0; i_KQ_0 < D; i_KQ_0 += VKQ_stride) { +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += frag_n) { + nvcuda::wmma::store_matrix_sync( + KQ + offset_k + j0*D_padded + i_KQ_0 + frag_m*(threadIdx.y/VKQ_ratio), + VKQ_c[i_KQ_0/VKQ_stride][j0/frag_n], + D_padded, nvcuda::wmma::mem_col_major); + } + } + + __syncthreads(); + +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += nwarps) { + const int j = j0 + threadIdx.y; + + half2 VKQ_scale; + if (std::is_same::value) { + VKQ_scale = make_half2(KQ_max_scale_f[j0/nwarps], KQ_max_scale_f[j0/nwarps]); + } else { + VKQ_scale = KQ_max_scale_h2[j0/nwarps]; + } + +#pragma unroll + for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) { + const int i = i0 + threadIdx.x; + if (i0 + WARP_SIZE > D/2 && i >= D/2) { + break; + } + + half2 VKQ_add = make_half2(0.0f, 0.0f); +#pragma unroll + for (int l = 0; l < VKQ_ratio; ++l) { + VKQ_add += KQ2[l*(ncols*D_padded/2) + j*(D_padded/2) + i]; + } + VKQ2[j*(D_padded/2) + i] = VKQ_scale*VKQ2[j*(D_padded/2) + i] + VKQ_add; + } + } + + __syncthreads(); + } + +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += nwarps) { + const int j_VKQ = j0 + threadIdx.y; + if (ic0 + j_VKQ >= ne01) { + return; + } + const int j_dst = (ic0 + j_VKQ)*parallel_blocks + ip; + + float KQ_rowsum_j; + if (std::is_same::value) { + KQ_rowsum_j = KQ_rowsum_f[j0/nwarps]; + } else { + KQ_rowsum_j = __low2float(KQ_rowsum_h2[j0/nwarps]) + __high2float(KQ_rowsum_h2[j0/nwarps]); + } + +#pragma unroll + for (int i0 = 0; i0 < D; i0 += WARP_SIZE) { + const int i = i0 + threadIdx.x; + if (i0 + WARP_SIZE > D && i >= D) { + break; + } + float dst_val = VKQ[j_VKQ*D_padded + i]; + if (parallel_blocks == 1) { + dst_val /= KQ_rowsum_j; + } + dst[j_dst*gridDim.y*D + blockIdx.y*D + i] = dst_val; + } + + if (parallel_blocks == 1 || threadIdx.x != 0) { + continue; + } + + float2 dst_meta_val; + if (std::is_same::value) { + dst_meta_val.x = KQ_max_f[j0/nwarps]; + } else { + dst_meta_val.x = __low2float(KQ_max_h2[j0/nwarps]); + } + dst_meta_val.y = KQ_rowsum_j; + dst_meta[(ic0 + j_VKQ)*gridDim.y*parallel_blocks + blockIdx.y*parallel_blocks + ip] = dst_meta_val; + } +#else + NO_DEVICE_CODE; +#endif // __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA +} + +constexpr int get_max_power_of_2(int x) { + return x % 2 == 0 ? 2*get_max_power_of_2(x/2) : 1; +} + +static_assert(get_max_power_of_2(1) == 1, "Test failed."); +static_assert(get_max_power_of_2(2) == 2, "Test failed."); +static_assert(get_max_power_of_2(4) == 4, "Test failed."); +static_assert(get_max_power_of_2(6) == 2, "Test failed."); + +// Number of VKQ rows calculated in parallel: +constexpr int get_VKQ_stride(int D, int nwarps, int frag_m) { + return (get_max_power_of_2(D/frag_m) < nwarps ? get_max_power_of_2(D/frag_m) : nwarps)*frag_m; +} + +static_assert(get_VKQ_stride(128, 1, 32) == 32, "Test failed."); +static_assert(get_VKQ_stride(128, 2, 32) == 64, "Test failed."); +static_assert(get_VKQ_stride(128, 4, 32) == 128, "Test failed."); +static_assert(get_VKQ_stride( 64, 1, 32) == 32, "Test failed."); +static_assert(get_VKQ_stride( 64, 2, 32) == 64, "Test failed."); +static_assert(get_VKQ_stride( 64, 4, 32) == 64, "Test failed."); +static_assert(get_VKQ_stride( 80, 1, 16) == 16, "Test failed."); +static_assert(get_VKQ_stride( 80, 2, 16) == 16, "Test failed."); +static_assert(get_VKQ_stride( 80, 4, 16) == 16, "Test failed."); + +template +void ggml_cuda_flash_attn_ext_wmma_f16_case(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { + const ggml_tensor * KQV = dst; + const ggml_tensor * Q = dst->src[0]; + + constexpr int nwarps = 4; + + constexpr int frag_m = cols_per_block == 8 && D % 32 == 0 ? 32 : 16; + const int blocks_num_pb1 = ((Q->ne[1] + cols_per_block - 1) / cols_per_block)*Q->ne[2]*Q->ne[3]; + const int nsm = ggml_cuda_info().devices[ggml_cuda_get_device()].nsm; + + float logit_softcap; + memcpy(&logit_softcap, (const float *) KQV->op_params + 2, sizeof(float)); + + if (4*blocks_num_pb1 < 2*nsm) { + constexpr int parallel_blocks = 4; + fattn_kernel_t fattn_kernel; + if (logit_softcap == 0.0f) { + constexpr bool use_logit_softcap = false; + fattn_kernel = flash_attn_ext_f16< + D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t, use_logit_softcap>; + } else { + constexpr bool use_logit_softcap = true; + fattn_kernel = flash_attn_ext_f16< + D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t, use_logit_softcap>; + } + launch_fattn(ctx, dst, fattn_kernel, nwarps, 0, true, true); + return; + } + if (2*blocks_num_pb1 < 2*nsm) { + constexpr int parallel_blocks = 2; + fattn_kernel_t fattn_kernel; + if (logit_softcap == 0.0f) { + constexpr bool use_logit_softcap = false; + fattn_kernel = flash_attn_ext_f16< + D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t, use_logit_softcap>; + } else { + constexpr bool use_logit_softcap = true; + fattn_kernel = flash_attn_ext_f16< + D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t, use_logit_softcap>; + } + launch_fattn(ctx, dst, fattn_kernel, nwarps, 0, true, true); + return; + } + constexpr int parallel_blocks = 1; + fattn_kernel_t fattn_kernel; + if (logit_softcap == 0.0f) { + constexpr bool use_logit_softcap = false; + fattn_kernel = flash_attn_ext_f16< + D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t, use_logit_softcap>; + } else { + constexpr bool use_logit_softcap = true; + fattn_kernel = flash_attn_ext_f16< + D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t, use_logit_softcap>; + } + launch_fattn(ctx, dst, fattn_kernel, nwarps, 0, true, true); +} + +void ggml_cuda_flash_attn_ext_wmma_f16(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { + const ggml_tensor * KQV = dst; + const ggml_tensor * Q = dst->src[0]; + + const enum ggml_prec prec = ggml_flash_attn_ext_get_prec(KQV); + + if (prec != GGML_PREC_DEFAULT) { + if (Q->ne[1] <= 32 || Q->ne[0] > 128) { + constexpr int cols_per_block = 16; + switch (Q->ne[0]) { + case 64: + ggml_cuda_flash_attn_ext_wmma_f16_case< 64, cols_per_block, float>(ctx, dst); + break; + case 80: + ggml_cuda_flash_attn_ext_wmma_f16_case< 80, cols_per_block, float>(ctx, dst); + break; + case 96: + ggml_cuda_flash_attn_ext_wmma_f16_case< 96, cols_per_block, float>(ctx, dst); + break; + case 112: + ggml_cuda_flash_attn_ext_wmma_f16_case<112, cols_per_block, float>(ctx, dst); + break; + case 128: + ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, float>(ctx, dst); + break; + case 256: + ggml_cuda_flash_attn_ext_wmma_f16_case<256, cols_per_block, float>(ctx, dst); + break; + default: + GGML_ABORT("fatal error"); + break; + } + } else { + constexpr int cols_per_block = 32; + switch (Q->ne[0]) { + case 64: + ggml_cuda_flash_attn_ext_wmma_f16_case< 64, cols_per_block, float>(ctx, dst); + break; + case 80: + ggml_cuda_flash_attn_ext_wmma_f16_case< 80, cols_per_block, float>(ctx, dst); + break; + case 96: + ggml_cuda_flash_attn_ext_wmma_f16_case< 96, cols_per_block, float>(ctx, dst); + break; + case 112: + ggml_cuda_flash_attn_ext_wmma_f16_case<112, cols_per_block, float>(ctx, dst); + break; + case 128: + ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, float>(ctx, dst); + break; + // case 256: + // ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, float>(ctx, dst); + // break; + default: + GGML_ABORT("fatal error"); + break; + } + } + return; + } + + if (Q->ne[1] <= 8 && Q->ne[0] % WARP_SIZE == 0) { + constexpr int cols_per_block = 8; + switch (Q->ne[0]) { + case 64: + ggml_cuda_flash_attn_ext_wmma_f16_case< 64, cols_per_block, half>(ctx, dst); + break; + case 96: + ggml_cuda_flash_attn_ext_wmma_f16_case< 96, cols_per_block, half>(ctx, dst); + break; + case 128: + ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, half>(ctx, dst); + break; + case 256: + ggml_cuda_flash_attn_ext_wmma_f16_case<256, cols_per_block, half>(ctx, dst); + break; + default: + GGML_ABORT("fatal error"); + break; + } + return; + } + + if (Q->ne[1] <= 32) { + constexpr int cols_per_block = 16; + switch (Q->ne[0]) { + case 64: + ggml_cuda_flash_attn_ext_wmma_f16_case< 64, cols_per_block, half>(ctx, dst); + break; + case 80: + ggml_cuda_flash_attn_ext_wmma_f16_case< 80, cols_per_block, half>(ctx, dst); + break; + case 96: + ggml_cuda_flash_attn_ext_wmma_f16_case< 96, cols_per_block, half>(ctx, dst); + break; + case 112: + ggml_cuda_flash_attn_ext_wmma_f16_case<112, cols_per_block, half>(ctx, dst); + break; + case 128: + ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, half>(ctx, dst); + break; + case 256: + ggml_cuda_flash_attn_ext_wmma_f16_case<256, cols_per_block, half>(ctx, dst); + break; + default: + GGML_ABORT("fatal error"); + break; + } + return; + } + + constexpr int cols_per_block = 32; + switch (Q->ne[0]) { + case 64: + ggml_cuda_flash_attn_ext_wmma_f16_case< 64, cols_per_block, half>(ctx, dst); + break; + case 80: + ggml_cuda_flash_attn_ext_wmma_f16_case< 80, cols_per_block, half>(ctx, dst); + break; + case 96: + ggml_cuda_flash_attn_ext_wmma_f16_case< 96, cols_per_block, half>(ctx, dst); + break; + case 112: + ggml_cuda_flash_attn_ext_wmma_f16_case<112, cols_per_block, half>(ctx, dst); + break; + case 128: + ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, half>(ctx, dst); + break; + case 256: + ggml_cuda_flash_attn_ext_wmma_f16_case<256, cols_per_block, half>(ctx, dst); + break; + default: + GGML_ABORT("fatal error"); + break; + } +} diff --git a/ggml/src/ggml-cuda/fattn-wmma-f16.cuh b/ggml/src/ggml-cuda/fattn-wmma-f16.cuh index 860d0e6dc..beeea95eb 100644 --- a/ggml/src/ggml-cuda/fattn-wmma-f16.cuh +++ b/ggml/src/ggml-cuda/fattn-wmma-f16.cuh @@ -1,543 +1,3 @@ #include "common.cuh" -#include "fattn-common.cuh" -#ifdef FP16_MMA_AVAILABLE -#include -#endif // FP16_MMA_AVAILABLE - -// D == head size, VKQ_stride == num VKQ rows calculated in parallel: -template -#if !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) -__launch_bounds__(nwarps*WARP_SIZE, 1) -#endif // !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) -static __global__ void flash_attn_ext_f16( - const char * __restrict__ Q, - const char * __restrict__ K, - const char * __restrict__ V, - const char * __restrict__ mask, - float * __restrict__ dst, - float2 * __restrict__ dst_meta, - const float scale, - const float max_bias, - const float m0, - const float m1, - const uint32_t n_head_log2, - const float logit_softcap, - const int ne00, - const int ne01, - const int ne02, - const int ne03, - const int ne10, - const int ne11, - const int ne12, - const int ne13, - const int ne31, - const int nb31, - const int nb01, - const int nb02, - const int nb03, - const int nb11, - const int nb12, - const int nb13, - const int nb21, - const int nb22, - const int nb23, - const int ne0, - const int ne1, - const int ne2, - const int ne3) { -#ifdef FP16_MMA_AVAILABLE - // Skip unused kernel variants for faster compilation: - if (use_logit_softcap && !(D == 128 || D == 256)) { - NO_DEVICE_CODE; - return; - } - - //In this kernel Q, K, V are matrices while i, j, k are matrix indices. - - const int ic0 = ncols*(blockIdx.x / parallel_blocks); // Index of the first Q/QKV column to work on. - const int ip = blockIdx.x % parallel_blocks; // Index in group of blocks running for the same column in parallel. - - static_assert(D <= FATTN_KQ_STRIDE, "D must be <= FATTN_KQ_STRIDE."); - static_assert(ncols == 8 || ncols % 16 == 0, "ncols must be 8 or a multiple of 16."); - constexpr int frag_m = ncols == 8 ? 32 : 16; - constexpr int frag_n = ncols == 8 ? 8 : 16; - static_assert(D % frag_m == 0, "If ncols == 8 then D % frag_m must be 0."); - typedef nvcuda::wmma::fragment frag_a_K; - typedef nvcuda::wmma::fragment frag_a_V; - typedef nvcuda::wmma::fragment frag_b; - typedef nvcuda::wmma::fragment frag_c_KQ; - typedef nvcuda::wmma::fragment frag_c_VKQ; - - constexpr int KQ_stride_tc = nwarps*frag_m; // Number of KQ rows calculated in parallel. - constexpr int VKQ_ratio = KQ_stride_tc/VKQ_stride; // Number of parallel VKQ accumulators needed to keep all warps busy. - static_assert(VKQ_ratio <= nwarps, "VKQ_ratio must be <= nwarps."); - - // Pad internal representation of KQ, KQV to reduce shared memory bank conflicts: - constexpr int D_padded = D + 8; - constexpr int kqs_padded = FATTN_KQ_STRIDE + 8; - constexpr int kqar = sizeof(KQ_acc_t)/sizeof(half); - - const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix. - const float * Q_f = (const float *) (Q + nb02* blockIdx.y + nb01*ic0); - const half * K_h = (const half *) (K + nb12*(blockIdx.y / gqa_ratio)); - const half * V_h = (const half *) (V + nb12*(blockIdx.y / gqa_ratio)); // K and V have same shape - const half * maskh = (const half *) mask + (nb31/sizeof(half))* ic0; - const half2 * mask2 = (const half2 *) mask + (nb31/sizeof(half))*(ic0/2); - - const int stride_Q = nb01 / sizeof(float); - const int stride_KV = nb11 / sizeof(half); - - const float slopef = get_alibi_slope(max_bias, blockIdx.y, n_head_log2, m0, m1); - const half slopeh = __float2half(slopef); - const half2 slope2 = make_half2(slopef, slopef); - - const half2 logit_softcap_2 = make_half2(logit_softcap, logit_softcap); - - frag_b Q_b[D/16][ncols/frag_n]; - - // A single buffer for temporarily holding tiles of KQ and VKQ parts: - constexpr int mem_KQ = ncols*kqs_padded*kqar; - constexpr int mem_VKQ_parts = VKQ_ratio*ncols*D_padded; - __shared__ half KQ[mem_KQ >= mem_VKQ_parts ? mem_KQ : mem_VKQ_parts]; - float * KQ_f = (float *) KQ; - half2 * KQ2 = (half2 *) KQ; - - float KQ_rowsum_f[ncols/nwarps] = {0.0f}; - float KQ_max_f[ncols/nwarps]; - float KQ_max_scale_f[ncols/nwarps] = {0.0f}; - -#pragma unroll - for (int j = 0; j < ncols/nwarps; ++j) { - KQ_max_f[j] = -FLT_MAX/2.0f; - } - - half2 KQ_rowsum_h2[ncols/nwarps] = {{0.0f, 0.0f}}; - half2 KQ_max_h2[ncols/nwarps]; - half2 KQ_max_scale_h2[ncols/nwarps] = {{0.0f, 0.0f}}; - -#pragma unroll - for (int j = 0; j < ncols/nwarps; ++j) { - KQ_max_h2[j] = make_half2(-HALF_MAX_HALF, -HALF_MAX_HALF); - } - - __shared__ half VKQ[ncols*D_padded]; // Accumulator for final VKQ slice. - half2 * VKQ2 = (half2 *) VKQ; -#pragma unroll - for (int j0 = 0; j0 < ncols; j0 += nwarps) { - const int j = j0 + threadIdx.y; -#pragma unroll - for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) { - const int i = i0 + threadIdx.x; - if (i0 + WARP_SIZE > D/2 && i >= D/2) { - break; - } - VKQ2[j*(D_padded/2) + i] = make_half2(0.0f, 0.0f); - } - } - - // Convert Q to half and apply scale, temporarily store in KQ: -#pragma unroll - for (int j0 = 0; j0 < ncols; j0 += nwarps) { - const int j = j0 + threadIdx.y; -#pragma unroll - for (int i0 = 0; i0 < D; i0 += WARP_SIZE) { - const int i = i0 + threadIdx.x; - if (i0 + WARP_SIZE > D && i >= D) { - break; - } - KQ[j*D_padded + i] = ic0 + j < ne01 ? Q_f[j*stride_Q + i] * scale : 0.0f; - } - } - - __syncthreads(); - - // Load Q into tensor core fragments/registers since it will be used frequently: -#pragma unroll - for (int i0 = 0; i0 < D; i0 += 16) { -#pragma unroll - for (int j0 = 0; j0 < ncols; j0 += frag_n) { - nvcuda::wmma::load_matrix_sync(Q_b[i0/16][j0/frag_n], KQ + j0*D_padded + i0, D_padded); - } - } - - __syncthreads(); - - // Iterate over ne11 == previous tokens: - for (int k_VKQ_0 = ip*FATTN_KQ_STRIDE; k_VKQ_0 < ne11; k_VKQ_0 += parallel_blocks*FATTN_KQ_STRIDE) { - // Calculate tile of KQ: -#pragma unroll - for (int i_KQ_0 = 0; i_KQ_0 < FATTN_KQ_STRIDE; i_KQ_0 += KQ_stride_tc) { - frag_c_KQ KQ_c[ncols/frag_n]; -#pragma unroll - for (int j = 0; j < ncols/frag_n; ++j) { - nvcuda::wmma::fill_fragment(KQ_c[j], 0.0f); - } -#pragma unroll - for (int k_KQ_0 = 0; k_KQ_0 < D; k_KQ_0 += 16) { - frag_a_K K_a; - nvcuda::wmma::load_matrix_sync(K_a, K_h + (k_VKQ_0 + i_KQ_0 + frag_m*threadIdx.y)*stride_KV + k_KQ_0, stride_KV); -#pragma unroll - for (int j = 0; j < ncols/frag_n; ++j) { - nvcuda::wmma::mma_sync(KQ_c[j], K_a, Q_b[k_KQ_0/16][j], KQ_c[j]); - } - } -#pragma unroll - for (int j0 = 0; j0 < ncols; j0 += frag_n) { - nvcuda::wmma::store_matrix_sync((KQ_acc_t *) KQ + j0*kqs_padded + i_KQ_0 + frag_m*threadIdx.y, KQ_c[j0/frag_n], kqs_padded, nvcuda::wmma::mem_col_major); - } - } - - __syncthreads(); - - // Calculate softmax for each KQ column using the current max. value. - // The divisor is stored in KQ_rowsum and will be applied at the end. -#pragma unroll - for (int j0 = 0; j0 < ncols; j0 += nwarps) { - const int j = j0 + threadIdx.y; - - if (std::is_same::value) { - float KQ_f_tmp[FATTN_KQ_STRIDE / WARP_SIZE]; -#pragma unroll - for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += WARP_SIZE) { - const int k = k0 + threadIdx.x; - - KQ_f_tmp[k0/WARP_SIZE] = KQ_f[j*kqs_padded + k]; - - if (use_logit_softcap) { - KQ_f_tmp[k0/WARP_SIZE] = logit_softcap*tanhf(KQ_f_tmp[k0/WARP_SIZE]); - } - } - - float KQ_max_new = KQ_max_f[j0/nwarps]; -#pragma unroll - for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += WARP_SIZE) { - const int k = k0 + threadIdx.x; - - KQ_f_tmp[k0/WARP_SIZE] += mask ? __half2float(slopeh*maskh[j*(nb31/sizeof(half)) + k_VKQ_0 + k]) : 0.0f; - KQ_max_new = max(KQ_max_new, KQ_f_tmp[k0/WARP_SIZE]); - } - KQ_max_new = warp_reduce_max(KQ_max_new); - - const float diff = KQ_max_f[j0/nwarps] - KQ_max_new; - KQ_max_scale_f[j0/nwarps] = expf(diff); - if (diff <= SOFTMAX_FTZ_THRESHOLD) { - KQ_max_scale_f[j0/nwarps] = 0.0f; - } - KQ_max_f[j0/nwarps] = KQ_max_new; - - float KQ_rowsum_add = 0.0f; -#pragma unroll - for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += WARP_SIZE) { - const int k = k0 + threadIdx.x; - - const float diff = KQ_f_tmp[k0/WARP_SIZE] - KQ_max_f[j0/nwarps]; - KQ_f_tmp[k0/WARP_SIZE] = expf(diff); - if (diff <= SOFTMAX_FTZ_THRESHOLD) { - KQ_f_tmp[k0/WARP_SIZE] = 0.0f; - } - KQ_rowsum_add += KQ_f_tmp[k0/WARP_SIZE]; - KQ[j*(kqar*kqs_padded) + k] = KQ_f_tmp[k0/WARP_SIZE]; - } - KQ_rowsum_add = warp_reduce_sum(KQ_rowsum_add); - - // Scale previous KQ_rowsum to account for a potential increase in KQ_max: - KQ_rowsum_f[j0/nwarps] = KQ_max_scale_f[j0/nwarps]*KQ_rowsum_f[j0/nwarps] + KQ_rowsum_add; - } else { - half2 KQ2_tmp[FATTN_KQ_STRIDE/(2*WARP_SIZE)]; -#pragma unroll - for (int k0 = 0; k0 < FATTN_KQ_STRIDE/2; k0 += WARP_SIZE) { - const int k = k0 + threadIdx.x; - - KQ2_tmp[k0/WARP_SIZE] = KQ2[j*(kqs_padded/2) + k]; - - if (use_logit_softcap) { - // There is no dedicated tangens hyperbolicus function for half2. - KQ2_tmp[k0/WARP_SIZE] = h2exp(KQ2_tmp[k0/WARP_SIZE]*make_half2(2.0f, 2.0f)); - KQ2_tmp[k0/WARP_SIZE] = (KQ2_tmp[k0/WARP_SIZE] - make_half2(1.0f, 1.0f)) - /(KQ2_tmp[k0/WARP_SIZE] + make_half2(1.0f, 1.0f)); - - KQ2_tmp[k0/WARP_SIZE] *= logit_softcap_2; - } - } - - half2 KQ_max_new = KQ_max_h2[j0/nwarps]; -#pragma unroll - for (int k0 = 0; k0 < FATTN_KQ_STRIDE/2; k0 += WARP_SIZE) { - const int k = k0 + threadIdx.x; - - KQ2_tmp[k0/WARP_SIZE] += mask ? slope2*mask2[(j*ne11 + k_VKQ_0)/2 + k] : make_half2(0.0f, 0.0f); - KQ_max_new = ggml_cuda_hmax2(KQ_max_new, KQ2_tmp[k0/WARP_SIZE]); - } - KQ_max_new = __half2half2(warp_reduce_max(ggml_cuda_hmax(__low2half(KQ_max_new), __high2half(KQ_max_new)))); - const half2 diff = KQ_max_h2[j0/nwarps] - KQ_max_new; - KQ_max_scale_h2[j0/nwarps] = h2exp(diff); - const uint32_t ftz_mask = __hgt2_mask(diff, make_half2(SOFTMAX_FTZ_THRESHOLD, SOFTMAX_FTZ_THRESHOLD)); - *((uint32_t *) &KQ_max_scale_h2[j0/nwarps]) &= ftz_mask; - KQ_max_h2[j0/nwarps] = KQ_max_new; - - half2 KQ_rowsum_add = make_half2(0.0f, 0.0f); -#pragma unroll - for (int k0 = 0; k0 < FATTN_KQ_STRIDE/2; k0 += WARP_SIZE) { - const int k = k0 + threadIdx.x; - - const half2 diff = KQ2_tmp[k0/WARP_SIZE] - KQ_max_h2[j0/nwarps]; - KQ2_tmp[k0/WARP_SIZE] = h2exp(diff); - const uint32_t ftz_mask = __hgt2_mask(diff, make_half2(SOFTMAX_FTZ_THRESHOLD, SOFTMAX_FTZ_THRESHOLD)); - *((uint32_t *) &KQ2_tmp[k0/WARP_SIZE]) &= ftz_mask; - KQ_rowsum_add += KQ2_tmp[k0/WARP_SIZE]; - KQ2[j*(kqs_padded/2) + k] = KQ2_tmp[k0/WARP_SIZE]; - } - KQ_rowsum_add = warp_reduce_sum(KQ_rowsum_add); - - // Scale previous KQ_rowsum to account for a potential increase in KQ_max: - KQ_rowsum_h2[j0/nwarps] = KQ_max_scale_h2[j0/nwarps]*KQ_rowsum_h2[j0/nwarps] + KQ_rowsum_add; - } - } - - __syncthreads(); - - frag_b KQ_b[FATTN_KQ_STRIDE/(VKQ_ratio*16)][ncols/frag_n]; -#pragma unroll - for (int j0 = 0; j0 < ncols; j0 += frag_n) { -#pragma unroll - for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += VKQ_ratio*16) { - const int k = k0 + (threadIdx.y % VKQ_ratio)*16; - nvcuda::wmma::load_matrix_sync( - KQ_b[k0/(VKQ_ratio*16)][j0/frag_n], - KQ + j0*(kqar*kqs_padded) + k, - kqar*kqs_padded); - } - } - - frag_c_VKQ VKQ_c[D/VKQ_stride][ncols/frag_n]; -#pragma unroll - for (int i_VKQ_0 = 0; i_VKQ_0 < D; i_VKQ_0 += VKQ_stride) { -#pragma unroll - for (int j = 0; j < ncols/frag_n; ++j) { - nvcuda::wmma::fill_fragment(VKQ_c[i_VKQ_0/VKQ_stride][j], 0.0f); - } - -#pragma unroll - for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += VKQ_ratio*16) { - const int k = k0 + (threadIdx.y % VKQ_ratio)*16; - - frag_a_V v_a; - nvcuda::wmma::load_matrix_sync(v_a, V_h + (k_VKQ_0 + k)*stride_KV + i_VKQ_0 + frag_m*(threadIdx.y/VKQ_ratio), stride_KV); -#pragma unroll - for (int j = 0; j < ncols/frag_n; ++j) { - nvcuda::wmma::mma_sync(VKQ_c[i_VKQ_0/VKQ_stride][j], v_a, KQ_b[k0/(VKQ_ratio*16)][j], VKQ_c[i_VKQ_0/VKQ_stride][j]); - } - } - } - - __syncthreads(); - - const int offset_k = (threadIdx.y % VKQ_ratio) * (ncols*D_padded); -#pragma unroll - for (int i_KQ_0 = 0; i_KQ_0 < D; i_KQ_0 += VKQ_stride) { -#pragma unroll - for (int j0 = 0; j0 < ncols; j0 += frag_n) { - nvcuda::wmma::store_matrix_sync( - KQ + offset_k + j0*D_padded + i_KQ_0 + frag_m*(threadIdx.y/VKQ_ratio), - VKQ_c[i_KQ_0/VKQ_stride][j0/frag_n], - D_padded, nvcuda::wmma::mem_col_major); - } - } - - __syncthreads(); - -#pragma unroll - for (int j0 = 0; j0 < ncols; j0 += nwarps) { - const int j = j0 + threadIdx.y; - - half2 VKQ_scale; - if (std::is_same::value) { - VKQ_scale = make_half2(KQ_max_scale_f[j0/nwarps], KQ_max_scale_f[j0/nwarps]); - } else { - VKQ_scale = KQ_max_scale_h2[j0/nwarps]; - } - -#pragma unroll - for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) { - const int i = i0 + threadIdx.x; - if (i0 + WARP_SIZE > D/2 && i >= D/2) { - break; - } - - half2 VKQ_add = make_half2(0.0f, 0.0f); -#pragma unroll - for (int l = 0; l < VKQ_ratio; ++l) { - VKQ_add += KQ2[l*(ncols*D_padded/2) + j*(D_padded/2) + i]; - } - VKQ2[j*(D_padded/2) + i] = VKQ_scale*VKQ2[j*(D_padded/2) + i] + VKQ_add; - } - } - - __syncthreads(); - } - -#pragma unroll - for (int j0 = 0; j0 < ncols; j0 += nwarps) { - const int j_VKQ = j0 + threadIdx.y; - if (ic0 + j_VKQ >= ne01) { - return; - } - const int j_dst = (ic0 + j_VKQ)*parallel_blocks + ip; - - float KQ_rowsum_j; - if (std::is_same::value) { - KQ_rowsum_j = KQ_rowsum_f[j0/nwarps]; - } else { - KQ_rowsum_j = __low2float(KQ_rowsum_h2[j0/nwarps]) + __high2float(KQ_rowsum_h2[j0/nwarps]); - } - -#pragma unroll - for (int i0 = 0; i0 < D; i0 += WARP_SIZE) { - const int i = i0 + threadIdx.x; - if (i0 + WARP_SIZE > D && i >= D) { - break; - } - float dst_val = VKQ[j_VKQ*D_padded + i]; - if (parallel_blocks == 1) { - dst_val /= KQ_rowsum_j; - } - dst[j_dst*gridDim.y*D + blockIdx.y*D + i] = dst_val; - } - - if (parallel_blocks == 1 || threadIdx.x != 0) { - continue; - } - - float2 dst_meta_val; - if (std::is_same::value) { - dst_meta_val.x = KQ_max_f[j0/nwarps]; - } else { - dst_meta_val.x = __low2float(KQ_max_h2[j0/nwarps]); - } - dst_meta_val.y = KQ_rowsum_j; - dst_meta[(ic0 + j_VKQ)*gridDim.y*parallel_blocks + blockIdx.y*parallel_blocks + ip] = dst_meta_val; - } -#else - NO_DEVICE_CODE; -#endif // FP16_MMA_AVAILABLE -} - -constexpr int get_max_power_of_2(int x) { - return x % 2 == 0 ? 2*get_max_power_of_2(x/2) : 1; -} - -static_assert(get_max_power_of_2(1) == 1, "Test failed."); -static_assert(get_max_power_of_2(2) == 2, "Test failed."); -static_assert(get_max_power_of_2(4) == 4, "Test failed."); -static_assert(get_max_power_of_2(6) == 2, "Test failed."); - -// Number of VKQ rows calculated in parallel: -constexpr int get_VKQ_stride(int D, int nwarps, int frag_m) { - return (get_max_power_of_2(D/frag_m) < nwarps ? get_max_power_of_2(D/frag_m) : nwarps)*frag_m; -} - -static_assert(get_VKQ_stride(128, 1, 32) == 32, "Test failed."); -static_assert(get_VKQ_stride(128, 2, 32) == 64, "Test failed."); -static_assert(get_VKQ_stride(128, 4, 32) == 128, "Test failed."); -static_assert(get_VKQ_stride( 64, 1, 32) == 32, "Test failed."); -static_assert(get_VKQ_stride( 64, 2, 32) == 64, "Test failed."); -static_assert(get_VKQ_stride( 64, 4, 32) == 64, "Test failed."); -static_assert(get_VKQ_stride( 80, 1, 16) == 16, "Test failed."); -static_assert(get_VKQ_stride( 80, 2, 16) == 16, "Test failed."); -static_assert(get_VKQ_stride( 80, 4, 16) == 16, "Test failed."); - -template -void ggml_cuda_flash_attn_ext_wmma_f16_case(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { - const ggml_tensor * KQV = dst; - const ggml_tensor * Q = dst->src[0]; - - constexpr int nwarps = 4; - - constexpr int frag_m = cols_per_block == 8 && D % 32 == 0 ? 32 : 16; - const int blocks_num_pb1 = ((Q->ne[1] + cols_per_block - 1) / cols_per_block)*Q->ne[2]*Q->ne[3]; - const int nsm = ggml_cuda_info().devices[ggml_cuda_get_device()].nsm; - - float logit_softcap; - memcpy(&logit_softcap, (const float *) KQV->op_params + 2, sizeof(float)); - - if (4*blocks_num_pb1 < 2*nsm) { - constexpr int parallel_blocks = 4; - fattn_kernel_t fattn_kernel; - if (logit_softcap == 0.0f) { - constexpr bool use_logit_softcap = false; - fattn_kernel = flash_attn_ext_f16< - D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t, use_logit_softcap>; - } else { - constexpr bool use_logit_softcap = true; - fattn_kernel = flash_attn_ext_f16< - D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t, use_logit_softcap>; - } - launch_fattn(ctx, dst, fattn_kernel, nwarps, cols_per_block, true, true); - return; - } - if (2*blocks_num_pb1 < 2*nsm) { - constexpr int parallel_blocks = 2; - fattn_kernel_t fattn_kernel; - if (logit_softcap == 0.0f) { - constexpr bool use_logit_softcap = false; - fattn_kernel = flash_attn_ext_f16< - D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t, use_logit_softcap>; - } else { - constexpr bool use_logit_softcap = true; - fattn_kernel = flash_attn_ext_f16< - D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t, use_logit_softcap>; - } - launch_fattn(ctx, dst, fattn_kernel, nwarps, cols_per_block, true, true); - return; - } - constexpr int parallel_blocks = 1; - fattn_kernel_t fattn_kernel; - if (logit_softcap == 0.0f) { - constexpr bool use_logit_softcap = false; - fattn_kernel = flash_attn_ext_f16< - D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t, use_logit_softcap>; - } else { - constexpr bool use_logit_softcap = true; - fattn_kernel = flash_attn_ext_f16< - D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t, use_logit_softcap>; - } - launch_fattn(ctx, dst, fattn_kernel, nwarps, cols_per_block, true, true); -} - -#define DECL_FATTN_WMMA_F16_CASE(D, cols_per_block, KQ_acc_t) \ - template void ggml_cuda_flash_attn_ext_wmma_f16_case \ - (ggml_backend_cuda_context & ctx, ggml_tensor * dst) \ - -extern DECL_FATTN_WMMA_F16_CASE( 64, 16, float); -extern DECL_FATTN_WMMA_F16_CASE( 80, 16, float); -extern DECL_FATTN_WMMA_F16_CASE( 96, 16, float); -extern DECL_FATTN_WMMA_F16_CASE(112, 16, float); -extern DECL_FATTN_WMMA_F16_CASE(128, 16, float); -extern DECL_FATTN_WMMA_F16_CASE(256, 16, float); - -extern DECL_FATTN_WMMA_F16_CASE( 64, 32, float); -extern DECL_FATTN_WMMA_F16_CASE( 80, 32, float); -extern DECL_FATTN_WMMA_F16_CASE( 96, 32, float); -extern DECL_FATTN_WMMA_F16_CASE(112, 32, float); -extern DECL_FATTN_WMMA_F16_CASE(128, 32, float); -// extern DECL_FATTN_WMMA_F16_CASE(256, 16, float); - -extern DECL_FATTN_WMMA_F16_CASE( 64, 8, half); -extern DECL_FATTN_WMMA_F16_CASE( 96, 8, half); -extern DECL_FATTN_WMMA_F16_CASE(128, 8, half); -extern DECL_FATTN_WMMA_F16_CASE(256, 8, half); - -extern DECL_FATTN_WMMA_F16_CASE( 64, 16, half); -extern DECL_FATTN_WMMA_F16_CASE( 80, 16, half); -extern DECL_FATTN_WMMA_F16_CASE( 96, 16, half); -extern DECL_FATTN_WMMA_F16_CASE(112, 16, half); -extern DECL_FATTN_WMMA_F16_CASE(128, 16, half); -extern DECL_FATTN_WMMA_F16_CASE(256, 16, half); - -extern DECL_FATTN_WMMA_F16_CASE( 64, 32, half); -extern DECL_FATTN_WMMA_F16_CASE( 80, 32, half); -extern DECL_FATTN_WMMA_F16_CASE( 96, 32, half); -extern DECL_FATTN_WMMA_F16_CASE(112, 32, half); -extern DECL_FATTN_WMMA_F16_CASE(128, 32, half); -extern DECL_FATTN_WMMA_F16_CASE(256, 16, half); +void ggml_cuda_flash_attn_ext_wmma_f16(ggml_backend_cuda_context & ctx, ggml_tensor * dst); diff --git a/ggml/src/ggml-cuda/fattn.cu b/ggml/src/ggml-cuda/fattn.cu index 0b26b0f8e..b1e66d470 100644 --- a/ggml/src/ggml-cuda/fattn.cu +++ b/ggml/src/ggml-cuda/fattn.cu @@ -1,5 +1,6 @@ #include "common.cuh" #include "fattn-common.cuh" +#include "fattn-mma-f16.cuh" #include "fattn-tile-f16.cuh" #include "fattn-tile-f32.cuh" #include "fattn-vec-f16.cuh" @@ -7,144 +8,56 @@ #include "fattn-wmma-f16.cuh" #include "fattn.cuh" -#include +template +static void ggml_cuda_flash_attn_ext_mma_f16_switch_hs(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { + const ggml_tensor * Q = dst->src[0]; -static void ggml_cuda_flash_attn_ext_wmma_f16(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { - const ggml_tensor * KQV = dst; - const ggml_tensor * Q = dst->src[0]; - - const enum ggml_prec prec = ggml_flash_attn_ext_get_prec(KQV); - - if (prec != GGML_PREC_DEFAULT) { - if (Q->ne[1] <= 32 || Q->ne[0] > 128) { - constexpr int cols_per_block = 16; - switch (Q->ne[0]) { - case 64: - ggml_cuda_flash_attn_ext_wmma_f16_case< 64, cols_per_block, float>(ctx, dst); - break; - case 80: - ggml_cuda_flash_attn_ext_wmma_f16_case< 80, cols_per_block, float>(ctx, dst); - break; - case 96: - ggml_cuda_flash_attn_ext_wmma_f16_case< 96, cols_per_block, float>(ctx, dst); - break; - case 112: - ggml_cuda_flash_attn_ext_wmma_f16_case<112, cols_per_block, float>(ctx, dst); - break; - case 128: - ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, float>(ctx, dst); - break; - case 256: - ggml_cuda_flash_attn_ext_wmma_f16_case<256, cols_per_block, float>(ctx, dst); - break; - default: - GGML_ABORT("fatal error"); - break; - } - } else { - constexpr int cols_per_block = 32; - switch (Q->ne[0]) { - case 64: - ggml_cuda_flash_attn_ext_wmma_f16_case< 64, cols_per_block, float>(ctx, dst); - break; - case 80: - ggml_cuda_flash_attn_ext_wmma_f16_case< 80, cols_per_block, float>(ctx, dst); - break; - case 96: - ggml_cuda_flash_attn_ext_wmma_f16_case< 96, cols_per_block, float>(ctx, dst); - break; - case 112: - ggml_cuda_flash_attn_ext_wmma_f16_case<112, cols_per_block, float>(ctx, dst); - break; - case 128: - ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, float>(ctx, dst); - break; - // case 256: - // ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, float>(ctx, dst); - // break; - default: - GGML_ABORT("fatal error"); - break; - } - } - return; - } - - if (Q->ne[1] <= 8 && Q->ne[0] % WARP_SIZE == 0) { - constexpr int cols_per_block = 8; - switch (Q->ne[0]) { - case 64: - ggml_cuda_flash_attn_ext_wmma_f16_case< 64, cols_per_block, half>(ctx, dst); - break; - case 96: - ggml_cuda_flash_attn_ext_wmma_f16_case< 96, cols_per_block, half>(ctx, dst); - break; - case 128: - ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, half>(ctx, dst); - break; - case 256: - ggml_cuda_flash_attn_ext_wmma_f16_case<256, cols_per_block, half>(ctx, dst); - break; - default: - GGML_ABORT("fatal error"); - break; - } - return; - } - - if (Q->ne[1] <= 32) { - constexpr int cols_per_block = 16; - switch (Q->ne[0]) { - case 64: - ggml_cuda_flash_attn_ext_wmma_f16_case< 64, cols_per_block, half>(ctx, dst); - break; - case 80: - ggml_cuda_flash_attn_ext_wmma_f16_case< 80, cols_per_block, half>(ctx, dst); - break; - case 96: - ggml_cuda_flash_attn_ext_wmma_f16_case< 96, cols_per_block, half>(ctx, dst); - break; - case 112: - ggml_cuda_flash_attn_ext_wmma_f16_case<112, cols_per_block, half>(ctx, dst); - break; - case 128: - ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, half>(ctx, dst); - break; - case 256: - ggml_cuda_flash_attn_ext_wmma_f16_case<256, cols_per_block, half>(ctx, dst); - break; - default: - GGML_ABORT("fatal error"); - break; - } - return; - } - - constexpr int cols_per_block = 32; switch (Q->ne[0]) { case 64: - ggml_cuda_flash_attn_ext_wmma_f16_case< 64, cols_per_block, half>(ctx, dst); + ggml_cuda_flash_attn_ext_mma_f16_case< 64, cols_per_block>(ctx, dst); break; case 80: - ggml_cuda_flash_attn_ext_wmma_f16_case< 80, cols_per_block, half>(ctx, dst); + ggml_cuda_flash_attn_ext_mma_f16_case< 80, cols_per_block>(ctx, dst); break; case 96: - ggml_cuda_flash_attn_ext_wmma_f16_case< 96, cols_per_block, half>(ctx, dst); + ggml_cuda_flash_attn_ext_mma_f16_case< 96, cols_per_block>(ctx, dst); break; case 112: - ggml_cuda_flash_attn_ext_wmma_f16_case<112, cols_per_block, half>(ctx, dst); + ggml_cuda_flash_attn_ext_mma_f16_case<112, cols_per_block>(ctx, dst); break; case 128: - ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, half>(ctx, dst); + ggml_cuda_flash_attn_ext_mma_f16_case<128, cols_per_block>(ctx, dst); break; case 256: - ggml_cuda_flash_attn_ext_wmma_f16_case<256, cols_per_block, half>(ctx, dst); + ggml_cuda_flash_attn_ext_mma_f16_case<256, cols_per_block>(ctx, dst); break; default: GGML_ABORT("fatal error"); break; } } + +static void ggml_cuda_flash_attn_ext_mma_f16(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { + const ggml_tensor * Q = dst->src[0]; + + if (Q->ne[1] <= 8) { + ggml_cuda_flash_attn_ext_mma_f16_switch_hs<8>(ctx, dst); + return; + } + + if (Q->ne[1] <= 16) { + ggml_cuda_flash_attn_ext_mma_f16_switch_hs<16>(ctx, dst); + return; + } + + if (Q->ne[1] <= 32) { + ggml_cuda_flash_attn_ext_mma_f16_switch_hs<32>(ctx, dst); + return; + } + + ggml_cuda_flash_attn_ext_mma_f16_switch_hs<64>(ctx, dst); +} + #define FATTN_VEC_F16_CASE(D, type_K, type_V) \ if (Q->ne[0] == (D) && K->type == (type_K) && V->type == (type_V)) { \ ggml_cuda_flash_attn_ext_vec_f16_case(ctx, dst); \ @@ -322,11 +235,19 @@ void ggml_cuda_flash_attn_ext(ggml_backend_cuda_context & ctx, ggml_tensor * dst return; } - if (!fp16_mma_available(cc)) { - if (Q->ne[1] <= 8) { - ggml_cuda_flash_attn_ext_vec_f16(ctx, dst); + if (!new_mma_available(cc)) { + if (prec == GGML_PREC_DEFAULT) { + if (Q->ne[1] <= 8) { + ggml_cuda_flash_attn_ext_vec_f16(ctx, dst); + } else { + ggml_cuda_flash_attn_ext_tile_f16(ctx, dst); + } } else { - ggml_cuda_flash_attn_ext_tile_f16(ctx, dst); + if (Q->ne[1] <= 8) { + ggml_cuda_flash_attn_ext_vec_f32(ctx, dst); + } else { + ggml_cuda_flash_attn_ext_tile_f32(ctx, dst); + } } return; } @@ -341,5 +262,10 @@ void ggml_cuda_flash_attn_ext(ggml_backend_cuda_context & ctx, ggml_tensor * dst } } - ggml_cuda_flash_attn_ext_wmma_f16(ctx, dst); + // The MMA implementation needs Turing or newer, use the old WMMA code for Volta: + if (cc == GGML_CUDA_CC_VOLTA) { + ggml_cuda_flash_attn_ext_wmma_f16(ctx, dst); + } + + ggml_cuda_flash_attn_ext_mma_f16(ctx, dst); } diff --git a/ggml/src/ggml-cuda/mma.cuh b/ggml/src/ggml-cuda/mma.cuh index 7d11540af..9788a1389 100644 --- a/ggml/src/ggml-cuda/mma.cuh +++ b/ggml/src/ggml-cuda/mma.cuh @@ -1,11 +1,67 @@ +// This file contains primitives that expose the tensor core PTX instructions for CUDA code. +// The primitives can be used in a similar way as the nvcuda::wmma interface but with a well-defined memory layout. +// The documentation for the PTX instructions can be found under: +// https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#matrix-multiply-accumulate-operation-using-mma-instruction +// +// Like with nvcuda::wmma there are three types of matrix tiles: A, B, and C with A @ B = C. +// A is a row-major matrix with shape I x K. +// B is a column-major matrix with shape K x J. +// C is a column-major matrix with shape I x J. +// Note that along their lowest dimension I, J, and K are measured in physical 32 bit elements instead of logical elements. +// The functions get_i, get_j, and get_k can be used to get the physical 32 bit index of the lth element of a thread within a tile. +// All matrix tiles have ne physical 32 bit elements per warp. +// +// As described in the documentation, all pointers for load_ldmatrix must be to shared memory and aligned to 16 bytes. + #include "common.cuh" -struct mma_int_A_I16K4 { + +#if CUDART_VERSION >= 11800 + +static __device__ __forceinline__ int ggml_cuda_movmatrix(const int x) { + int ret = 0; + +#ifdef NEW_MMA_AVAILABLE + asm("movmatrix.sync.aligned.m8n8.trans.b16 %0, %1;" + : "+r"(ret) : "r"(x)); +#else + NO_DEVICE_CODE; +#endif // defined(NEW_MMA_AVAILABLE) + return ret; +} + +#else + +static __device__ __forceinline__ int ggml_cuda_movmatrix(const int x) { + // Imagine transposing row-major matrix to column-major matrix. + const int src_i_low = 2 * (threadIdx.x % 4); + const int src_i_high = src_i_low + 1; + const int src_j = threadIdx.x / 4; + + const int src_laneid_low = src_i_low * 4 + src_j / 2; + const int src_laneid_high = src_i_high * 4 + src_j / 2; + + const int shift_low = ((src_j + 0) % 2) * 16; + const int shift_high = ((src_j + 1) % 2) * 16; + + const int ret_low = (__shfl_sync(0xFFFFFFFF, x, src_laneid_low, WARP_SIZE) >> shift_low) & 0x0000FFFF; + const int ret_high = (__shfl_sync(0xFFFFFFFF, x, src_laneid_high, WARP_SIZE) << shift_high) & 0xFFFF0000; + + return ret_low | ret_high; +} + +#endif // CUDART_VERSION >= 11800 + + +template +struct mma_A_I16K4 { + static_assert(sizeof(T) == 4, "bad type size"); + static constexpr int I = 16; static constexpr int K = 4; static constexpr int ne = 2; - int x[ne] = {0}; + T x[ne]; static __device__ __forceinline__ int get_i(const int l) { const int ret = (l%2) * (I/2) + threadIdx.x / K; @@ -21,27 +77,35 @@ struct mma_int_A_I16K4 { return ret; } - __device__ __forceinline__ void load(const int * __restrict__ xs0, const int & stride) { -#if defined(INT8_MMA_AVAILABLE) - const int * xs = xs0 + (threadIdx.x%I)*stride; - asm("ldmatrix.sync.aligned.m8n8.x2.b16 {%0, %1}, [%2];" - : "+r"(x[0]), "+r"(x[1]) - : "l"(xs)); -#else + __device__ __forceinline__ void load_generic(const T * __restrict__ xs0, const int & stride) { #pragma unroll for (int l = 0; l < ne; ++l) { x[l] = xs0[get_i(l)*stride + get_k(l)]; } -#endif // defined(INT8_MMA_AVAILABLE) + } + + __device__ __forceinline__ void load_ldmatrix(const T * __restrict__ xs0, const int & stride) { +#ifdef NEW_MMA_AVAILABLE + int * xi = (int *) x; + const int * xs = (const int *) xs0 + (threadIdx.x%I)*stride; + asm("ldmatrix.sync.aligned.m8n8.x2.b16 {%0, %1}, [%2];" + : "+r"(xi[0]), "+r"(xi[1]) + : "l"(xs)); +#else + load_generic(xs0, stride); +#endif // NEW_MMA_AVAILABLE } }; -struct mma_int_A_I16K8 { +template +struct mma_A_I16K8 { + static_assert(sizeof(T) == 4, "bad type size"); + static constexpr int I = 16; static constexpr int K = 8; static constexpr int ne = 4; - int x[ne] = {0}; + T x[ne]; static __device__ __forceinline__ int get_i(const int l) { const int ret = (l%2) * (I/2) + threadIdx.x / (K/2); @@ -57,31 +121,62 @@ struct mma_int_A_I16K8 { return ret; } - __device__ __forceinline__ void load(const int * __restrict__ xs0, const int & stride) { -#if defined(INT8_MMA_AVAILABLE) - const int * xs = xs0 + (threadIdx.x%I)*stride + (threadIdx.x/I)*(K/2); - asm("ldmatrix.sync.aligned.m8n8.x4.b16 {%0, %1, %2, %3}, [%4];" - : "+r"(x[0]), "+r"(x[1]), "+r"(x[2]), "+r"(x[3]) - : "l"(xs)); -#else + __device__ __forceinline__ void load_generic(const T * __restrict__ xs0, const int & stride) { #pragma unroll for (int l = 0; l < ne; ++l) { x[l] = xs0[get_i(l)*stride + get_k(l)]; } -#endif // defined(INT8_MMA_AVAILABLE) } - __device__ __forceinline__ void load_low(const int * __restrict__ xs0, const int & stride) { - ((mma_int_A_I16K4 *) x)[0].load(xs0, stride); + __device__ __forceinline__ void load_ldmatrix(const T * __restrict__ xs0, const int & stride) { +#ifdef NEW_MMA_AVAILABLE + int * xi = (int * ) x; + const int * xs = (const int *) xs0 + (threadIdx.x%I)*stride + (threadIdx.x/I)*(K/2); + asm("ldmatrix.sync.aligned.m8n8.x4.b16 {%0, %1, %2, %3}, [%4];" + : "+r"(xi[0]), "+r"(xi[1]), "+r"(xi[2]), "+r"(xi[3]) + : "l"(xs)); +#else + GGML_UNUSED(xs0); + GGML_UNUSED(stride); + NO_DEVICE_CODE; +#endif // NEW_MMA_AVAILABLE + } + + __device__ __forceinline__ void load_ldmatrix_trans(const T * __restrict__ xs0, const int & stride) { +#ifdef NEW_MMA_AVAILABLE + int * xi = (int * ) x; + const int * xs = (const int *) xs0 + (threadIdx.x%I)*stride + (threadIdx.x/I)*(K/2); + asm("ldmatrix.sync.aligned.m8n8.x4.trans.b16 {%0, %1, %2, %3}, [%4];" + : "+r"(xi[0]), "+r"(xi[2]), "+r"(xi[1]), "+r"(xi[3]) + : "l"(xs)); +#else + GGML_UNUSED(xs0); + GGML_UNUSED(stride); + NO_DEVICE_CODE; +#endif // NEW_MMA_AVAILABLE + } + + __device__ __forceinline__ void transpose() { + int * xi = (int *) x; + xi[0] = ggml_cuda_movmatrix(xi[0]); + + const int tmp = ggml_cuda_movmatrix(xi[1]); + xi[1] = ggml_cuda_movmatrix(xi[2]); + xi[2] = tmp; + + xi[3] = ggml_cuda_movmatrix(xi[3]); } }; -struct mma_int_B_J8K4 { +template +struct mma_B_J8K4 { + static_assert(sizeof(T) == 4, "bad type size"); + static constexpr int J = 8; static constexpr int K = 4; static constexpr int ne = 1; - int x[ne] = {0}; + T x[ne]; static __device__ __forceinline__ int get_j(const int /* l */) { const int ret = threadIdx.x / K; @@ -97,27 +192,34 @@ struct mma_int_B_J8K4 { return ret; } - __device__ __forceinline__ void load(const int * __restrict__ xs0, const int & stride) { -#if defined(INT8_MMA_AVAILABLE) && false // Loading as 4 byte values is faster - const int * xs = xs0 + (threadIdx.x%J)*stride; - asm("ldmatrix.sync.aligned.m8n8.x1.b16 {%0}, [%1];" - : "+r"(x[0]) - : "l"(xs)); -#else + __device__ __forceinline__ void load_generic(const T * __restrict__ xs0, const int & stride) { #pragma unroll for (int l = 0; l < ne; ++l) { x[l] = xs0[get_j(l)*stride + get_k(l)]; } -#endif // defined(INT8_MMA_AVAILABLE) + } + + __device__ __forceinline__ void load_ldmatrix(const T * __restrict__ xs0, const int & stride) { +#ifdef NEW_MMA_AVAILABLE + int * xi = (int *) x; + const int * xs = (const int *) xs0 + (threadIdx.x%J)*stride; + asm("ldmatrix.sync.aligned.m8n8.x1.b16 {%0}, [%1];" + : "+r"(xi[0]) : "l"(xs)); +#else + load_generic(xs0, stride); +#endif // NEW_MMA_AVAILABLE } }; -struct mma_int_B_J8K8 { +template +struct mma_B_J8K8 { + static_assert(sizeof(T) == 4, "bad type size"); + static constexpr int J = 8; static constexpr int K = 8; static constexpr int ne = 2; - int x[ne] = {0}; + T x[ne]; static __device__ __forceinline__ int get_j(const int /* l */) { const int ret = threadIdx.x / (K/2); @@ -133,22 +235,31 @@ struct mma_int_B_J8K8 { return ret; } - __device__ __forceinline__ void load(const int * __restrict__ xs0, const int & stride) { -#if defined(INT8_MMA_AVAILABLE) && false // Loading as 4 byte values is faster - const int * xs = xs0 + (threadIdx.x%J)*stride + ((threadIdx.x/J)*(K/2)) % K; - asm("ldmatrix.sync.aligned.m8n8.x2.b16 {%0, %1}, [%2];" - : "+r"(x[0]), "+r"(x[1]) - : "l"(xs)); -#else + __device__ __forceinline__ void load_generic(const T * __restrict__ xs0, const int & stride) { #pragma unroll for (int l = 0; l < ne; ++l) { x[l] = xs0[get_j(l)*stride + get_k(l)]; } -#endif // defined(INT8_MMA_AVAILABLE) + } + + __device__ __forceinline__ void load_ldmatrix(const T * __restrict__ xs0, const int & stride) { +#ifdef NEW_MMA_AVAILABLE + int * xi = (int *) x; + const int * xs = (const int *) xs0 + (threadIdx.x%J)*stride + ((threadIdx.x/J)*(K/2)) % K; + asm("ldmatrix.sync.aligned.m8n8.x2.b16 {%0, %1}, [%2];" + : "+r"(xi[0]), "+r"(xi[1]) + : "l"(xs)); +#else + load_generic(xs0, stride); +#endif // NEW_MMA_AVAILABLE } }; -struct mma_int_C_I16J8 { +template +struct mma_C_I16J8 {}; + +template <> +struct mma_C_I16J8 { static constexpr int I = 16; static constexpr int J = 8; static constexpr int ne = 4; @@ -169,8 +280,8 @@ struct mma_int_C_I16J8 { return ret; } - __device__ __forceinline__ void mma_K4(const mma_int_A_I16K4 & mma_A, const mma_int_B_J8K4 & mma_B) { -#ifdef INT8_MMA_AVAILABLE + __device__ __forceinline__ void mma(const mma_A_I16K4 & mma_A, const mma_B_J8K4 & mma_B) { +#ifdef NEW_MMA_AVAILABLE #if __CUDA_ARCH__ >= GGML_CUDA_CC_AMPERE asm("mma.sync.aligned.m16n8k16.row.col.s32.s8.s8.s32 {%0, %1, %2, %3}, {%4, %5}, {%6}, {%0, %1, %2, %3};" : "+r"(x[0]), "+r"(x[1]), "+r"(x[2]), "+r"(x[3]) @@ -188,11 +299,11 @@ struct mma_int_C_I16J8 { GGML_UNUSED(mma_A); GGML_UNUSED(mma_B); NO_DEVICE_CODE; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } - __device__ __forceinline__ void mma_K8(const mma_int_A_I16K8 & mma_A, const mma_int_B_J8K8 & mma_B) { -#ifdef INT8_MMA_AVAILABLE + __device__ __forceinline__ void mma(const mma_A_I16K8 & mma_A, const mma_B_J8K8 & mma_B) { +#ifdef NEW_MMA_AVAILABLE #if __CUDA_ARCH__ >= GGML_CUDA_CC_AMPERE asm("mma.sync.aligned.m16n8k32.row.col.s32.s8.s8.s32 {%0, %1, %2, %3}, {%4, %5, %6, %7}, {%8, %9}, {%0, %1, %2, %3};" : "+r"(x[0]), "+r"(x[1]), "+r"(x[2]), "+r"(x[3]) @@ -216,6 +327,132 @@ struct mma_int_C_I16J8 { GGML_UNUSED(mma_A); GGML_UNUSED(mma_B); NO_DEVICE_CODE; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE + } +}; + +template <> +struct mma_C_I16J8 { + static constexpr int I = 16; + static constexpr int J = 4; + static constexpr int ne = 2; + + half2 x[ne] = {{0.0f, 0.0f}, {0.0f, 0.0f}}; + + static __device__ __forceinline__ int get_i(const int l) { + const int ret = l * (I/2) + threadIdx.x / J; + GGML_CUDA_ASSUME(ret >= 0); + GGML_CUDA_ASSUME(ret < I); + return ret; + } + + static __device__ __forceinline__ int get_j(const int /* l */) { + const int ret = threadIdx.x % J; + GGML_CUDA_ASSUME(ret >= 0); + GGML_CUDA_ASSUME(ret < J); + return ret; + } + + __device__ __forceinline__ void mma(const mma_A_I16K8 & mma_A, const mma_B_J8K8 & mma_B) { +#ifdef NEW_MMA_AVAILABLE + int * Axi = (int *) mma_A.x; + int * Bxi = (int *) mma_B.x; + int * xi = (int *) x; +#if __CUDA_ARCH__ >= GGML_CUDA_CC_AMPERE + asm("mma.sync.aligned.m16n8k16.row.col.f16.f16.f16.f16 {%0, %1}, {%2, %3, %4, %5}, {%6, %7}, {%0, %1};" + : "+r"(xi[0]), "+r"(xi[1]) + : "r"(Axi[0]), "r"(Axi[1]), "r"(Axi[2]), "r"(Axi[3]), "r"(Bxi[0]), "r"(Bxi[1])); +#else + // On Turing m16n8k16 mma is not available, use 2x m8n8k8 mma instead: + asm("mma.sync.aligned.m16n8k8.row.col.f16.f16.f16.f16 {%0, %1}, {%2, %3}, {%4}, {%0, %1};" + : "+r"(xi[0]), "+r"(xi[1]) + : "r"(Axi[0]), "r"(Axi[1]), "r"(Bxi[0])); + asm("mma.sync.aligned.m16n8k8.row.col.f16.f16.f16.f16 {%0, %1}, {%2, %3}, {%4}, {%0, %1};" + : "+r"(xi[0]), "+r"(xi[1]) + : "r"(Axi[2]), "r"(Axi[3]), "r"(Bxi[1])); +#endif // __CUDA_ARCH__ >= GGML_CUDA_CC_AMPERE +#else + GGML_UNUSED(mma_A); + GGML_UNUSED(mma_B); + NO_DEVICE_CODE; +#endif // NEW_MMA_AVAILABLE + } + + __device__ __forceinline__ mma_B_J8K8 to_mma_B() { + mma_B_J8K8 mma_B; + + int * xi = (int *) x; + int * Bxi = (int *) mma_B.x; + Bxi[0] = ggml_cuda_movmatrix(xi[0]); + Bxi[1] = ggml_cuda_movmatrix(xi[1]); + + return mma_B; + } +}; + +template <> +struct mma_C_I16J8 { + static constexpr int I = 16; + static constexpr int J = 8; + static constexpr int ne = 4; + + float x[ne] = {0.0f, 0.0f, 0.0f, 0.0f}; + + static __device__ __forceinline__ int get_i(const int l) { + const int ret = (l/2) * (I/2) + threadIdx.x / (J/2); + GGML_CUDA_ASSUME(ret >= 0); + GGML_CUDA_ASSUME(ret < I); + return ret; + } + + static __device__ __forceinline__ int get_j(const int l) { + const int ret = 2 * (threadIdx.x % (J/2)) + l%2; + GGML_CUDA_ASSUME(ret >= 0); + GGML_CUDA_ASSUME(ret < J); + return ret; + } + + __device__ __forceinline__ void mma(const mma_A_I16K8 & mma_A, const mma_B_J8K8 & mma_B) { +#ifdef NEW_MMA_AVAILABLE + int * Axi = (int *) mma_A.x; + int * Bxi = (int *) mma_B.x; + int * xi = (int *) x; +#if __CUDA_ARCH__ >= GGML_CUDA_CC_AMPERE + asm("mma.sync.aligned.m16n8k16.row.col.f32.f16.f16.f32 {%0, %1, %2, %3}, {%4, %5, %6, %7}, {%8, %9}, {%0, %1, %2, %3};" + : "+r"(xi[0]), "+r"(xi[1]), "+r"(xi[2]), "+r"(xi[3]) + : "r"(Axi[0]), "r"(Axi[1]), "r"(Axi[2]), "r"(Axi[3]), "r"(Bxi[0]), "r"(Bxi[1])); +#else + // On Turing m16n8k16 mma is not available, use 2x m8n8k8 mma instead: + asm("mma.sync.aligned.m16n8k8.row.col.f32.f16.f16.f32 {%0, %1, %2, %3}, {%4, %5}, {%6}, {%0, %1, %2, %3};" + : "+r"(xi[0]), "+r"(xi[1]), "+r"(xi[2]), "+r"(xi[3]) + : "r"(Axi[0]), "r"(Axi[1]), "r"(Bxi[0])); + asm("mma.sync.aligned.m16n8k8.row.col.f32.f16.f16.f32 {%0, %1, %2, %3}, {%4, %5}, {%6}, {%0, %1, %2, %3};" + : "+r"(xi[0]), "+r"(xi[1]), "+r"(xi[2]), "+r"(xi[3]) + : "r"(Axi[2]), "r"(Axi[3]), "r"(Bxi[1])); +#endif // __CUDA_ARCH__ >= GGML_CUDA_CC_AMPERE +#else + GGML_UNUSED(mma_A); + GGML_UNUSED(mma_B); + NO_DEVICE_CODE; +#endif // NEW_MMA_AVAILABLE + } + + __device__ __forceinline__ mma_B_J8K8 to_mma_B() { + mma_B_J8K8 mma_B; + mma_B.x[0] = make_half2(x[0], x[1]); + mma_B.x[1] = make_half2(x[2], x[3]); + + int * Bxi = (int *) mma_B.x; + Bxi[0] = ggml_cuda_movmatrix(Bxi[0]); + Bxi[1] = ggml_cuda_movmatrix(Bxi[1]); + + return mma_B; + } + + __device__ __forceinline__ void load_generic(const float * __restrict__ xs0, const int & stride) { +#pragma unroll + for (int l = 0; l < ne; ++l) { + x[l] = xs0[get_j(l)*stride + get_i(l)]; + } } }; diff --git a/ggml/src/ggml-cuda/mmq.cu b/ggml/src/ggml-cuda/mmq.cu index 270251df4..83cb78cbd 100644 --- a/ggml/src/ggml-cuda/mmq.cu +++ b/ggml/src/ggml-cuda/mmq.cu @@ -132,7 +132,7 @@ bool ggml_cuda_should_use_mmq(enum ggml_type type, int cc, int64_t ne11) { return false; } - if (int8_mma_available(cc)) { + if (new_mma_available(cc)) { return true; } diff --git a/ggml/src/ggml-cuda/mmq.cuh b/ggml/src/ggml-cuda/mmq.cuh index 3cd508a1d..c05c84778 100644 --- a/ggml/src/ggml-cuda/mmq.cuh +++ b/ggml/src/ggml-cuda/mmq.cuh @@ -87,7 +87,7 @@ struct tile_x_sizes { }; static constexpr int get_mmq_x_max_host(const int cc) { - return int8_mma_available(cc) ? 128 : + return new_mma_available(cc) ? 128 : #ifdef GGML_CUDA_FORCE_MMQ cc >= GGML_CUDA_CC_VOLTA && cc < GGML_CUDA_CC_OFFSET_AMD ? 128 : 64; #else @@ -96,9 +96,9 @@ static constexpr int get_mmq_x_max_host(const int cc) { } static constexpr __device__ int get_mmq_x_max_device() { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE return 128; -#else // INT8_MMA_AVAILABLE +#else // NEW_MMA_AVAILABLE #if defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__) return 128; @@ -116,7 +116,7 @@ static constexpr __device__ int get_mmq_x_max_device() { #endif // __CUDA_ARCH__ >= GGML_CUDA_CC_VOLTA #endif // defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__) -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } static constexpr int get_mmq_y_host(const int cc) { @@ -209,10 +209,10 @@ static constexpr __host__ __device__ int mmq_get_mma_tile_x_k(ggml_type type) { #define MMQ_TILE_Y_K (WARP_SIZE + WARP_SIZE/QI8_1) static int mmq_get_granularity_host(const int mmq_x, const int cc) { - return int8_mma_available(cc) && mmq_x >= 48 ? 16 : 8; + return new_mma_available(cc) && mmq_x >= 48 ? 16 : 8; } -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE static constexpr __device__ int mmq_get_granularity_device(const int mmq_x) { return mmq_x >= 48 ? 16 : 8; } @@ -220,21 +220,21 @@ static constexpr __device__ int mmq_get_granularity_device(const int mmq_x) { static constexpr __device__ int mmq_get_granularity_device(const int /* mmq_x */) { return 8; } -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE // ------------------------------------------------------------ template static __device__ __forceinline__ void load_tiles_q4_0( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + 2*WARP_SIZE); #else constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_Q4_0, mmq_y); int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + txs.qs); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE const int kbx = threadIdx.x / QI4_0; const int kqsx = threadIdx.x % QI4_0; @@ -250,12 +250,12 @@ template static __device__ __forceinlin const block_q4_0 * bxi = (const block_q4_0 *) x + kbx0 + i*stride + kbx; const int qs0 = get_int_b2(bxi->qs, kqsx); -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + kbx*(2*QI4_0) + kqsx + 0] = __vsubss4((qs0 >> 0) & 0x0F0F0F0F, 0x08080808); x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + kbx*(2*QI4_0) + kqsx + QI4_0] = __vsubss4((qs0 >> 4) & 0x0F0F0F0F, 0x08080808); #else x_qs[i*(WARP_SIZE + 1) + threadIdx.x] = qs0; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } const int blocks_per_tile_x_row = WARP_SIZE / QI4_0; @@ -271,11 +271,11 @@ template static __device__ __forceinlin const block_q4_0 * bxi = (const block_q4_0 *) x + kbx0 + i*stride + kbxd; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_df[i*MMQ_MMA_TILE_X_K_Q8_0 + kbxd] = bxi->d; #else x_df[i*(WARP_SIZE/QI4_0) + i/QI4_0 + kbxd] = bxi->d; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } @@ -322,14 +322,14 @@ static __device__ __forceinline__ void vec_dot_q4_0_q8_1_dp4a( template static __device__ __forceinline__ void load_tiles_q4_1( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; half2 * x_dm = (half2 *) (x_qs + 2*WARP_SIZE); #else constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_Q4_1, mmq_y); int * x_qs = (int *) x_tile; half2 * x_dm = (half2 *) (x_qs + txs.qs); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE const int kbx = threadIdx.x / QI4_1; const int kqsx = threadIdx.x % QI4_1; @@ -345,12 +345,12 @@ template static __device__ __forceinlin const block_q4_1 * bxi = (const block_q4_1 *) x + kbx0 + i*stride + kbx; const int qs0 = get_int_b4(bxi->qs, kqsx); -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q8_1 + kbx*(2*QI4_1) + kqsx + 0] = (qs0 >> 0) & 0x0F0F0F0F; x_qs[i*MMQ_MMA_TILE_X_K_Q8_1 + kbx*(2*QI4_1) + kqsx + QI4_1] = (qs0 >> 4) & 0x0F0F0F0F; #else x_qs[i*(WARP_SIZE + 1) + threadIdx.x] = qs0; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } const int blocks_per_tile_x_row = WARP_SIZE / QI4_1; @@ -366,11 +366,11 @@ template static __device__ __forceinlin const block_q4_1 * bxi = (const block_q4_1 *) x + kbx0 + i*stride + kbxd; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_dm[i*MMQ_MMA_TILE_X_K_Q8_1 + kbxd] = bxi->dm; #else x_dm[i*(WARP_SIZE/QI4_1) + i/QI4_1 + kbxd] = bxi->dm; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } @@ -417,14 +417,14 @@ static __device__ __forceinline__ void vec_dot_q4_1_q8_1_dp4a( template static __device__ __forceinline__ void load_tiles_q5_0( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + WARP_SIZE*2); #else constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_Q5_0, mmq_y); int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + txs.qs); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE const int kbx = threadIdx.x / QI5_0; const int kqsx = threadIdx.x % QI5_0; @@ -456,13 +456,13 @@ template static __device__ __forceinlin qs1 |= (qh << 9) & 0x10000000; // 19 -> 28 qs1 = __vsubss4(qs1, 0x10101010); // subtract 16 -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + kbx*(2*QI5_0) + kqsx + 0] = qs0; x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + kbx*(2*QI5_0) + kqsx + QI5_0] = qs1; #else x_qs[i*(2*WARP_SIZE + 1) + kbx*(2*QI5_0) + kqsx + 0] = qs0; x_qs[i*(2*WARP_SIZE + 1) + kbx*(2*QI5_0) + kqsx + QI5_0] = qs1; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } const int blocks_per_tile_x_row = WARP_SIZE / QI5_0; @@ -478,25 +478,25 @@ template static __device__ __forceinlin const block_q5_0 * bxi = (const block_q5_0 *) x + kbx0 + i*stride + kbxd; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_df[i*MMQ_MMA_TILE_X_K_Q8_0 + kbxd] = bxi->d; #else x_df[i*(WARP_SIZE/QI5_0) + i/QI5_0 + kbxd] = bxi->d; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } template static __device__ __forceinline__ void load_tiles_q5_1( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; half2 * x_dm = (half2 *) (x_qs + 2*WARP_SIZE); #else constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_Q5_1, mmq_y); int * x_qs = (int *) x_tile; half2 * x_dm = (half2 *) (x_qs + txs.qs); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE const int kbx = threadIdx.x / QI5_1; const int kqsx = threadIdx.x % QI5_1; @@ -526,13 +526,13 @@ template static __device__ __forceinlin qs1 |= (qh << 2) & 0x00100000; // 18 -> 20 qs1 |= (qh << 9) & 0x10000000; // 19 -> 28 -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q8_1 + kbx*(2*QI5_1) + kqsx + 0] = qs0; x_qs[i*MMQ_MMA_TILE_X_K_Q8_1 + kbx*(2*QI5_1) + kqsx + QI5_1] = qs1; #else x_qs[i*(2*WARP_SIZE + 1) + kbx*(2*QI5_1) + kqsx + 0] = qs0; x_qs[i*(2*WARP_SIZE + 1) + kbx*(2*QI5_1) + kqsx + QI5_1] = qs1; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } const int blocks_per_tile_x_row = WARP_SIZE / QI5_1; @@ -548,25 +548,25 @@ template static __device__ __forceinlin const block_q5_1 * bxi = (const block_q5_1 *) x + kbx0 + i*stride + kbxd; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_dm[i*MMQ_MMA_TILE_X_K_Q8_1 + kbxd] = bxi->dm; #else x_dm[i*(WARP_SIZE/QI5_1) + i/QI5_1 + kbxd] = bxi->dm; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } template static __device__ __forceinline__ void load_tiles_q8_0( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; float * x_df = (float *) (x_tile + 2*WARP_SIZE); #else constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_Q8_0, mmq_y); int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + txs.qs); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE const int kbx = threadIdx.x / QI8_0; const int kqsx = threadIdx.x % QI8_0; @@ -581,13 +581,13 @@ template static __device__ __forceinlin const block_q8_0 * bxi = (const block_q8_0 *) x + kbx0 + i*stride + kbx; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + 0 + threadIdx.x] = get_int_b2(bxi[0].qs, kqsx); x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + WARP_SIZE + threadIdx.x] = get_int_b2(bxi[WARP_SIZE/QI8_0].qs, kqsx); #else x_qs[i*(2*WARP_SIZE + 1) + 0 + threadIdx.x] = get_int_b2(bxi[0].qs, kqsx); x_qs[i*(2*WARP_SIZE + 1) + WARP_SIZE + threadIdx.x] = get_int_b2(bxi[WARP_SIZE/QI8_0].qs, kqsx); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } const int blocks_per_tile_x_row = 2*WARP_SIZE / QI8_0; @@ -603,11 +603,11 @@ template static __device__ __forceinlin const block_q8_0 * bxi = (const block_q8_0 *) x + kbx0 + i*stride + kbxd; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_df[i*MMQ_MMA_TILE_X_K_Q8_0 + kbxd] = bxi->d; #else x_df[i*(2*WARP_SIZE/QI8_0) + i/(QI8_0/2) + kbxd] = bxi->d; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } @@ -645,9 +645,9 @@ template static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mma( const int * __restrict__ x, const int * __restrict__ y, float * __restrict__ sum, const int & k00) { - typedef mma_int_A_I16K8 mma_A; - typedef mma_int_B_J8K8 mma_B; - typedef mma_int_C_I16J8 mma_C; + typedef mma_A_I16K8 mma_A; + typedef mma_B_J8K8 mma_B; + typedef mma_C_I16J8 mma_C; constexpr int granularity = mmq_get_granularity_device(mmq_x); constexpr int rows_per_warp = 2 * granularity; @@ -672,7 +672,7 @@ static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mma( for (int k01 = 0; k01 < WARP_SIZE; k01 += QI8_0) { const int k0 = k00 + k01; - A[n][k01/QI8_0].load(x_qs + (i0 + n*mma_A::I)*MMQ_MMA_TILE_X_K_Q8_0 + k0, MMQ_MMA_TILE_X_K_Q8_0); + A[n][k01/QI8_0].load_ldmatrix(x_qs + (i0 + n*mma_A::I)*MMQ_MMA_TILE_X_K_Q8_0 + k0, MMQ_MMA_TILE_X_K_Q8_0); } #pragma unroll @@ -695,7 +695,7 @@ static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mma( mma_B B; float dB[mma_C::ne/2]; - B.load(y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K); + B.load_generic(y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K); // faster than load_ldmatrix #pragma unroll for (int l = 0; l < mma_C::ne/2; ++l) { @@ -711,7 +711,7 @@ static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mma( #pragma unroll for (int n = 0; n < ntx; ++n) { mma_C C; - C.mma_K8(A[n][k01/QI8_0], B); + C.mma(A[n][k01/QI8_0], B); #pragma unroll for (int l = 0; l < mma_C::ne; ++l) { @@ -756,9 +756,9 @@ template static __device__ __forceinline__ void vec_dot_q8_1_q8_1_mma( const int * __restrict__ x, const int * __restrict__ y, float * __restrict__ sum, const int & k00) { - typedef mma_int_A_I16K8 mma_A; - typedef mma_int_B_J8K8 mma_B; - typedef mma_int_C_I16J8 mma_C; + typedef mma_A_I16K8 mma_A; + typedef mma_B_J8K8 mma_B; + typedef mma_C_I16J8 mma_C; constexpr int granularity = mmq_get_granularity_device(mmq_x); constexpr int rows_per_warp = 2 * granularity; @@ -782,7 +782,7 @@ static __device__ __forceinline__ void vec_dot_q8_1_q8_1_mma( for (int k01 = 0; k01 < WARP_SIZE; k01 += QI8_1) { const int k0 = k00 + k01; - A[n][k01/QI8_1].load(x_qs + (i0 + n*mma_A::I)*MMQ_MMA_TILE_X_K_Q8_1 + k0, MMQ_MMA_TILE_X_K_Q8_1); + A[n][k01/QI8_1].load_ldmatrix(x_qs + (i0 + n*mma_A::I)*MMQ_MMA_TILE_X_K_Q8_1 + k0, MMQ_MMA_TILE_X_K_Q8_1); } #pragma unroll @@ -805,7 +805,7 @@ static __device__ __forceinline__ void vec_dot_q8_1_q8_1_mma( mma_B B; float2 dsB[mma_C::ne/2]; - B.load(y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K); + B.load_generic(y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K); // faster than load_ldmatrix #pragma unroll for (int l = 0; l < mma_C::ne/2; ++l) { @@ -817,7 +817,7 @@ static __device__ __forceinline__ void vec_dot_q8_1_q8_1_mma( #pragma unroll for (int n = 0; n < ntx; ++n) { mma_C C; - C.mma_K8(A[n][k01/QI8_1], B); + C.mma(A[n][k01/QI8_1], B); #pragma unroll for (int l = 0; l < mma_C::ne; ++l) { @@ -864,12 +864,12 @@ static __device__ __forceinline__ void vec_dot_q8_0_16_q8_1_dp4a( template static __device__ __forceinline__ void vec_dot_q8_0_16_q8_1_mma( const int * __restrict__ x, const int * __restrict__ y, float * __restrict__ sum, const int & k00) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE - typedef mma_int_A_I16K4 mma_A; - typedef mma_int_A_I16K8 mma_A_K8; - typedef mma_int_B_J8K4 mma_B; - typedef mma_int_C_I16J8 mma_C; + typedef mma_A_I16K4 mma_A; + typedef mma_A_I16K8 mma_A_K8; + typedef mma_B_J8K4 mma_B; + typedef mma_C_I16J8 mma_C; constexpr int granularity = mmq_get_granularity_device(mmq_x); constexpr int rows_per_warp = 2 * granularity; @@ -893,7 +893,7 @@ static __device__ __forceinline__ void vec_dot_q8_0_16_q8_1_mma( for (int k01 = 0; k01 < WARP_SIZE; k01 += 8) { const int k0 = k00 + k01; - ((mma_A_K8 *) A[n])[k01/8].load(x_qs + (i0 + n*mma_A::I)*MMQ_MMA_TILE_X_K_Q3_K + k0, MMQ_MMA_TILE_X_K_Q3_K); + ((mma_A_K8 *) A[n])[k01/8].load_ldmatrix(x_qs + (i0 + n*mma_A::I)*MMQ_MMA_TILE_X_K_Q3_K + k0, MMQ_MMA_TILE_X_K_Q3_K); } #pragma unroll @@ -916,8 +916,9 @@ static __device__ __forceinline__ void vec_dot_q8_0_16_q8_1_mma( mma_B B[2]; float dB[mma_C::ne/2]; - B[0].load(y_qs + j0*MMQ_TILE_Y_K + (k01 + 0), MMQ_TILE_Y_K); - B[1].load(y_qs + j0*MMQ_TILE_Y_K + (k01 + mma_B::K), MMQ_TILE_Y_K); + // Here load_generic is faster than load_ldmatrix. + B[0].load_generic(y_qs + j0*MMQ_TILE_Y_K + (k01 + 0), MMQ_TILE_Y_K); + B[1].load_generic(y_qs + j0*MMQ_TILE_Y_K + (k01 + mma_B::K), MMQ_TILE_Y_K); #pragma unroll for (int l = 0; l < mma_C::ne/2; ++l) { @@ -929,8 +930,8 @@ static __device__ __forceinline__ void vec_dot_q8_0_16_q8_1_mma( #pragma unroll for (int n = 0; n < ntx; ++n) { mma_C C[2]; - C[0].mma_K4(A[n][k01/4 + 0], B[0]); - C[1].mma_K4(A[n][k01/4 + 1], B[1]); + C[0].mma(A[n][k01/4 + 0], B[0]); + C[1].mma(A[n][k01/4 + 1], B[1]); #pragma unroll for (int l = 0; l < mma_C::ne; ++l) { @@ -942,20 +943,20 @@ static __device__ __forceinline__ void vec_dot_q8_0_16_q8_1_mma( #else GGML_UNUSED(x); GGML_UNUSED(y); GGML_UNUSED(sum); NO_DEVICE_CODE; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } template static __device__ __forceinline__ void load_tiles_q2_K( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; half2 * x_dm = (half2 *) (x_qs + 2*WARP_SIZE); #else constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_Q2_K, mmq_y); int * x_qs = (int *) x_tile; half2 * x_dm = (half2 *) (x_qs + txs.qs); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE const int kqsx = threadIdx.x % QI2_K; @@ -977,11 +978,11 @@ template static __device__ __forceinlin const int x_qs_k = (x_ql_0 >> (2*l)) & 0x03030303; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q2_K + k] = x_qs_k; #else x_qs[i*(2*WARP_SIZE + 1) + k] = x_qs_k; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } const int sc_m = bxi->scales[kqsx]; @@ -992,11 +993,11 @@ template static __device__ __forceinlin const half2 x_dm_ik = make_half2(bxi_dmf.x*(sc_m & 0x0F), bxi_dmf.y*(sc_m >> 4)); #endif // FAST_FP16_AVAILABLE -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_dm[i*MMQ_MMA_TILE_X_K_Q2_K + kqsx] = x_dm_ik; #else x_dm[i*(WARP_SIZE + 1) + kqsx] = x_dm_ik; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } @@ -1051,12 +1052,12 @@ static __device__ __forceinline__ void vec_dot_q2_K_q8_1_dp4a( template static __device__ __forceinline__ void vec_dot_q2_K_q8_1_mma( const int * __restrict__ x, const int * __restrict__ y, float * __restrict__ sum, const int & k00) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE - typedef mma_int_A_I16K4 mma_A; - typedef mma_int_A_I16K8 mma_A_K8; - typedef mma_int_B_J8K4 mma_B; - typedef mma_int_C_I16J8 mma_C; + typedef mma_A_I16K4 mma_A; + typedef mma_A_I16K8 mma_A_K8; + typedef mma_B_J8K4 mma_B; + typedef mma_C_I16J8 mma_C; constexpr int granularity = mmq_get_granularity_device(mmq_x); constexpr int rows_per_warp = 2 * granularity; @@ -1081,7 +1082,7 @@ static __device__ __forceinline__ void vec_dot_q2_K_q8_1_mma( for (int k01 = 0; k01 < WARP_SIZE; k01 += QI8_1) { const int k0 = k00 + k01; - ((mma_A_K8 *) A[n])[k01/QI8_1].load(x_qs + (i0 + n*mma_A::I)*MMQ_MMA_TILE_X_K_Q2_K + k0, MMQ_MMA_TILE_X_K_Q2_K); + ((mma_A_K8 *) A[n])[k01/QI8_1].load_ldmatrix(x_qs + (i0 + n*mma_A::I)*MMQ_MMA_TILE_X_K_Q2_K + k0, MMQ_MMA_TILE_X_K_Q2_K); } } @@ -1118,24 +1119,25 @@ static __device__ __forceinline__ void vec_dot_q2_K_q8_1_mma( for (int k01 = 0; k01 < WARP_SIZE; k01 += QI8_1) { mma_B B[2]; - B[0].load(y_qs + j0*MMQ_TILE_Y_K + (k01 + 0), MMQ_TILE_Y_K); - B[1].load(y_qs + j0*MMQ_TILE_Y_K + (k01 + mma_B::K), MMQ_TILE_Y_K); + // Here load_generic is faster than load_ldmatrix. + B[0].load_generic(y_qs + j0*MMQ_TILE_Y_K + (k01 + 0), MMQ_TILE_Y_K); + B[1].load_generic(y_qs + j0*MMQ_TILE_Y_K + (k01 + mma_B::K), MMQ_TILE_Y_K); mma_C Cm[2]; if (k01 >= WARP_SIZE * 3/4) { mma_A A1; A1.x[0] = 0x01010101; A1.x[1] = 0x01010101; - Cm[0].mma_K4(A1, B[0]); - Cm[1].mma_K4(A1, B[1]); + Cm[0].mma(A1, B[0]); + Cm[1].mma(A1, B[1]); } #pragma unroll for (int n = 0; n < ntx; ++n) { mma_C Cd[2]; - Cd[0].mma_K4(A[n][k01/4 + 0], B[0]); - Cd[1].mma_K4(A[n][k01/4 + 1], B[1]); + Cd[0].mma(A[n][k01/4 + 0], B[0]); + Cd[1].mma(A[n][k01/4 + 1], B[1]); #pragma unroll for (int l = 0; l < mma_C::ne; ++l) { @@ -1172,13 +1174,13 @@ static __device__ __forceinline__ void vec_dot_q2_K_q8_1_mma( #else GGML_UNUSED(x); GGML_UNUSED(y); GGML_UNUSED(sum); NO_DEVICE_CODE; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } template static __device__ __forceinline__ void load_tiles_q3_K( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + WARP_SIZE*2); #else @@ -1186,7 +1188,7 @@ template static __device__ __forceinlin int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + txs.qs); int * x_sc = (int *) (x_df + txs.dm); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE const int kqsx = threadIdx.x % QI3_K; @@ -1212,11 +1214,11 @@ template static __device__ __forceinlin const int x_qs_k = __vsubss4(x_ql_k | x_qh_k, 0x04040404); -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + k] = x_qs_k; #else x_qs[i*(2*WARP_SIZE + 1) + k] = x_qs_k; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } @@ -1242,7 +1244,7 @@ template static __device__ __forceinlin const int sc = __vsubss4(sc_low | sc_high, 0x20202020); -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE const int8_t * sc8 = (const int8_t *) ≻ const float d = bxi->d; @@ -1252,10 +1254,10 @@ template static __device__ __forceinlin } #else x_sc[i*(WARP_SIZE/8) + i/8 + threadIdx.x % (WARP_SIZE/8)] = sc; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } -#ifndef INT8_MMA_AVAILABLE +#ifndef NEW_MMA_AVAILABLE #pragma unroll for (int i0 = 0; i0 < mmq_y; i0 += nwarps*WARP_SIZE) { int i = (i0 + threadIdx.y*WARP_SIZE + threadIdx.x) % mmq_y; @@ -1268,7 +1270,7 @@ template static __device__ __forceinlin x_df[i] = bxi->d; } -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } template @@ -1317,7 +1319,7 @@ static __device__ __forceinline__ int unpack_scales_q45_K(const int * scales, co template static __device__ __forceinline__ void load_tiles_q4_K( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; half2 * x_dm = (half2 *) (x_qs + 2*WARP_SIZE); #else @@ -1325,7 +1327,7 @@ template static __device__ __forceinlin int * x_qs = (int *) x_tile; half2 * x_dm = (half2 *) (x_qs + txs.qs); int * x_sc = (int *) (x_dm + txs.dm); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE #pragma unroll for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { @@ -1338,15 +1340,15 @@ template static __device__ __forceinlin const block_q4_K * bxi = (const block_q4_K *) x + kbx0 + i*stride; const int qs0 = get_int_b4(bxi->qs, threadIdx.x); -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q8_1 + 16*(threadIdx.x/8) + threadIdx.x % 8 + 0] = (qs0 >> 0) & 0x0F0F0F0F; x_qs[i*MMQ_MMA_TILE_X_K_Q8_1 + 16*(threadIdx.x/8) + threadIdx.x % 8 + 8] = (qs0 >> 4) & 0x0F0F0F0F; #else x_qs[i*(WARP_SIZE + 1) + threadIdx.x] = qs0; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE #pragma unroll for (int i0 = 0; i0 < mmq_y; i0 += nwarps*16) { @@ -1407,7 +1409,7 @@ template static __device__ __forceinlin x_sc[i*(WARP_SIZE/8) + i/8 + ksc] = scales8; } -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } template @@ -1446,7 +1448,7 @@ static __device__ __forceinline__ void vec_dot_q4_K_q8_1_dp4a( template static __device__ __forceinline__ void load_tiles_q5_K( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; half2 * x_dm = (half2 *) (x_qs + WARP_SIZE*2); #else @@ -1454,7 +1456,7 @@ template static __device__ __forceinlin int * x_qs = (int *) x_tile; half2 * x_dm = (half2 *) (x_qs + txs.qs); int * x_sc = (int *) (x_dm + txs.dm); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE #pragma unroll for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { @@ -1478,16 +1480,16 @@ template static __device__ __forceinlin const int kq0 = ky - ky % (QI5_K/2) + threadIdx.x % (QI5_K/4) + 0; const int kq1 = ky - ky % (QI5_K/2) + threadIdx.x % (QI5_K/4) + QI5_K/4; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q8_1 + kq0] = ql0 | qh0; x_qs[i*MMQ_MMA_TILE_X_K_Q8_1 + kq1] = ql1 | qh1; #else x_qs[i*(2*WARP_SIZE + 1) + kq0] = ql0 | qh0; x_qs[i*(2*WARP_SIZE + 1) + kq1] = ql1 | qh1; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE #pragma unroll for (int i0 = 0; i0 < mmq_y; i0 += nwarps*16) { @@ -1548,7 +1550,7 @@ template static __device__ __forceinlin x_sc[i*(WARP_SIZE/8) + i/8 + ksc] = scales8; } -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } template @@ -1587,7 +1589,7 @@ static __device__ __forceinline__ void vec_dot_q5_K_q8_1_dp4a( template static __device__ __forceinline__ void load_tiles_q6_K( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + WARP_SIZE*2); int * x_sc = (int *) (x_df + WARP_SIZE/QI6_K); @@ -1596,7 +1598,7 @@ template static __device__ __forceinlin int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + txs.qs); int * x_sc = (int *) (x_df + txs.dm); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE #pragma unroll for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { @@ -1619,13 +1621,13 @@ template static __device__ __forceinlin const int kq0 = 2*threadIdx.x - threadIdx.x % (QI6_K/2) + 0; const int kq1 = 2*threadIdx.x - threadIdx.x % (QI6_K/2) + QI6_K/2; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q6_K + kq0] = __vsubss4(ql0 | qh0, 0x20202020); x_qs[i*MMQ_MMA_TILE_X_K_Q6_K + kq1] = __vsubss4(ql1 | qh1, 0x20202020); #else x_qs[i*(2*WARP_SIZE + 1) + kq0] = __vsubss4(ql0 | qh0, 0x20202020); x_qs[i*(2*WARP_SIZE + 1) + kq1] = __vsubss4(ql1 | qh1, 0x20202020); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } const int blocks_per_tile_x_row = WARP_SIZE / QI6_K; // == 1 if QK_K == 256 @@ -1641,11 +1643,11 @@ template static __device__ __forceinlin const block_q6_K * bxi = (const block_q6_K *) x + kbx0 + i*stride + kbxd; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_df[i*MMQ_MMA_TILE_X_K_Q6_K + kbxd] = bxi->d; #else x_df[i*(WARP_SIZE/QI6_K) + i/QI6_K + kbxd] = bxi->d; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } #pragma unroll @@ -1658,11 +1660,11 @@ template static __device__ __forceinlin const block_q6_K * bxi = (const block_q6_K *) x + kbx0 + i*stride + (threadIdx.x % (WARP_SIZE/8)) / 4; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_sc[i*MMQ_MMA_TILE_X_K_Q6_K + threadIdx.x % (WARP_SIZE/8)] = get_int_b2(bxi->scales, threadIdx.x % (QI6_K/8)); #else x_sc[i*(WARP_SIZE/8) + i/8 + threadIdx.x % (WARP_SIZE/8)] = get_int_b2(bxi->scales, threadIdx.x % (QI6_K/8)); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } @@ -1702,11 +1704,11 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_dp4a( template static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma( const int * __restrict__ x, const int * __restrict__ y, float * __restrict__ sum, const int & k00) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE - typedef mma_int_A_I16K4 mma_A; - typedef mma_int_B_J8K4 mma_B; - typedef mma_int_C_I16J8 mma_C; + typedef mma_A_I16K4 mma_A; + typedef mma_B_J8K4 mma_B; + typedef mma_C_I16J8 mma_C; constexpr int granularity = mmq_get_granularity_device(mmq_x); constexpr int rows_per_warp = 2 * granularity; @@ -1732,8 +1734,8 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma( for (int k01 = 0; k01 < WARP_SIZE; k01 += 8) { const int k0 = k00 + k01; - A[n][k01/4 + 0].load(x_qs + (i0 + n*mma_A::I)*MMQ_MMA_TILE_X_K_Q6_K + (k0 + 0), MMQ_MMA_TILE_X_K_Q6_K); - A[n][k01/4 + 1].load(x_qs + (i0 + n*mma_A::I)*MMQ_MMA_TILE_X_K_Q6_K + (k0 + mma_A::K), MMQ_MMA_TILE_X_K_Q6_K); + A[n][k01/4 + 0].load_ldmatrix(x_qs + (i0 + n*mma_A::I)*MMQ_MMA_TILE_X_K_Q6_K + (k0 + 0), MMQ_MMA_TILE_X_K_Q6_K); + A[n][k01/4 + 1].load_ldmatrix(x_qs + (i0 + n*mma_A::I)*MMQ_MMA_TILE_X_K_Q6_K + (k0 + mma_A::K), MMQ_MMA_TILE_X_K_Q6_K); } #pragma unroll @@ -1771,8 +1773,9 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma( mma_B B[2]; float dB[mma_C::ne/2]; - B[0].load(y_qs + j0*MMQ_TILE_Y_K + 0 + k01, MMQ_TILE_Y_K); - B[1].load(y_qs + j0*MMQ_TILE_Y_K + mma_B::K + k01, MMQ_TILE_Y_K); + // Here load_generic is faster than load_ldmatrix. + B[0].load_generic(y_qs + j0*MMQ_TILE_Y_K + 0 + k01, MMQ_TILE_Y_K); + B[1].load_generic(y_qs + j0*MMQ_TILE_Y_K + mma_B::K + k01, MMQ_TILE_Y_K); #pragma unroll for (int l = 0; l < mma_C::ne/2; ++l) { @@ -1784,8 +1787,8 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma( #pragma unroll for (int n = 0; n < ntx; ++n) { mma_C C[2]; - C[0].mma_K4(A[n][k01/4 + 0], B[0]); - C[1].mma_K4(A[n][k01/4 + 1], B[1]); + C[0].mma(A[n][k01/4 + 0], B[0]); + C[1].mma(A[n][k01/4 + 1], B[1]); #pragma unroll for (int l = 0; l < mma_C::ne; ++l) { @@ -1805,20 +1808,20 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma( #else GGML_UNUSED(x); GGML_UNUSED(y); GGML_UNUSED(sum); NO_DEVICE_CODE; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } template static __device__ __forceinline__ void load_tiles_iq4_nl( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + WARP_SIZE*2); #else constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_IQ4_NL, mmq_y); int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + txs.qs); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE const int kbx = threadIdx.x / QI4_NL; const int kqsx = threadIdx.x % QI4_NL; @@ -1836,13 +1839,13 @@ template static __device__ __forceinlin const int aux_q4 = get_int_b2(bxi->qs, kqsx); const int2 v = get_int_from_table_16(aux_q4); const int k0 = 8 * (threadIdx.x / 4) + threadIdx.x % 4; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + k0 + 0] = v.x; x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + k0 + 4] = v.y; #else x_qs[i*(2*WARP_SIZE + 1) + k0 + 0] = v.x; x_qs[i*(2*WARP_SIZE + 1) + k0 + 4] = v.y; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } const int blocks_per_tile_x_row = WARP_SIZE / QI4_NL; @@ -1858,25 +1861,25 @@ template static __device__ __forceinlin const block_iq4_nl * bxi = (const block_iq4_nl *) x + kbx0 + i*stride + kbxd; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_df[i*MMQ_MMA_TILE_X_K_Q8_0 + kbxd] = __half2float(bxi->d); #else x_df[i*(WARP_SIZE/4) + i/4 + kbxd] = __half2float(bxi->d); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } template static __device__ __forceinline__ void load_tiles_iq2_xxs( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + WARP_SIZE*2); #else constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_IQ2_XXS, mmq_y); int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + txs.qs); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE const int kqsx = threadIdx.x % (QI2_XXS/2); @@ -1905,36 +1908,36 @@ template static __device__ __forceinlin const int signs1 = __vcmpne4(((signs_packed & 0x30) << 3) | ((signs_packed & 0xC0) << 17), 0x00000000); const int grid1 = __vsub4(grid_pos[1] ^ signs1, signs1); -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + 8*kqsx + (2*l + 0)] = grid0; x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + 8*kqsx + (2*l + 1)] = grid1; #else x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + (2*l + 0)] = grid0; x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + (2*l + 1)] = grid1; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } const int ls = aux32 >> 28; const float d = bxi->d; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_df[i*MMQ_MMA_TILE_X_K_Q8_0 + kqsx] = (ls*d + d/2)/4; #else x_df[i*(WARP_SIZE/4) + i/4 + kqsx] = (ls*d + d/2)/4; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } template static __device__ __forceinline__ void load_tiles_iq2_xs( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + WARP_SIZE*2); #else constexpr tile_x_sizes txs = MMQ_DP4A_TXS_Q8_0_16; int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + txs.qs); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE const int kqsx = threadIdx.x % (QI2_XS/2); @@ -1959,38 +1962,38 @@ template static __device__ __forceinlin const int grid_l = __vsub4(grid_pos[0] ^ signs[0], signs[0]); const int grid_h = __vsub4(grid_pos[1] ^ signs[1], signs[1]); -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + 8*kqsx + (2*l + 0)] = grid_l; x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + 8*kqsx + (2*l + 1)] = grid_h; #else x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + (2*l + 0)] = grid_l; x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + (2*l + 1)] = grid_h; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } const int ls = bxi->scales[kqsx]; const float d = bxi->d; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_df[i*MMQ_MMA_TILE_X_K_Q3_K + 2*kqsx+0] = ((ls & 0x0F)*d + d/2)/4; x_df[i*MMQ_MMA_TILE_X_K_Q3_K + 2*kqsx+1] = ((ls >> 4)*d + d/2)/4; #else x_df[i*(2*WARP_SIZE*2/QI8_0) + i/(QI8_0/4) + 2*kqsx+0] = ((ls & 0x0F)*d + d/2)/4; x_df[i*(2*WARP_SIZE*2/QI8_0) + i/(QI8_0/4) + 2*kqsx+1] = ((ls >> 4)*d + d/2)/4; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } template static __device__ __forceinline__ void load_tiles_iq2_s( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + WARP_SIZE*2); #else constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_IQ2_S, mmq_y); int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + txs.qs); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE const int kqsx = threadIdx.x % (QI2_S/2); @@ -2022,38 +2025,38 @@ template static __device__ __forceinlin const int grid_l = __vsub4(grid_pos[0] ^ signs0, signs0); const int grid_h = __vsub4(grid_pos[1] ^ signs1, signs1); -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + 8*kqsx + (2*l + 0)] = grid_l; x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + 8*kqsx + (2*l + 1)] = grid_h; #else x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + (2*l + 0)] = grid_l; x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + (2*l + 1)] = grid_h; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } const int ls = bxi->scales[kqsx]; const float d = bxi->d; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_df[i*MMQ_MMA_TILE_X_K_Q3_K + 2*kqsx+0] = ((ls & 0x0F)*d + d/2)/4; x_df[i*MMQ_MMA_TILE_X_K_Q3_K + 2*kqsx+1] = ((ls >> 4)*d + d/2)/4; #else x_df[i*(2*WARP_SIZE*2/QI8_0) + i/(QI8_0/4) + 2*kqsx+0] = ((ls & 0x0F)*d + d/2)/4; x_df[i*(2*WARP_SIZE*2/QI8_0) + i/(QI8_0/4) + 2*kqsx+1] = ((ls >> 4)*d + d/2)/4; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } template static __device__ __forceinline__ void load_tiles_iq3_xxs( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + WARP_SIZE*2); #else constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_IQ3_XXS, mmq_y); int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + txs.qs); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE const int kqsx = threadIdx.x % (QI3_XXS/2); @@ -2080,36 +2083,36 @@ template static __device__ __forceinlin const int grid_l = __vsub4(grid_pos.x ^ signs[0], signs[0]); const int grid_h = __vsub4(grid_pos.y ^ signs[1], signs[1]); -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + 8*kqsx + (2*l + 0)] = grid_l; x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + 8*kqsx + (2*l + 1)] = grid_h; #else x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + (2*l + 0)] = grid_l; x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + (2*l + 1)] = grid_h; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } const int ls = aux32 >> 28; const float d = bxi->d; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_df[i*MMQ_MMA_TILE_X_K_Q8_0 + kqsx] = (ls*d + d/2)/2; #else x_df[i*(WARP_SIZE/4) + i/4 + kqsx] = (ls*d + d/2)/2; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } template static __device__ __forceinline__ void load_tiles_iq3_s( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + WARP_SIZE*2); #else constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_IQ3_S, mmq_y); int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + txs.qs); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE const int kqsx = threadIdx.x % (QI3_S/2); @@ -2143,36 +2146,36 @@ template static __device__ __forceinlin const int grid_l = __vsub4(grid_pos.x ^ signs0, signs0); const int grid_h = __vsub4(grid_pos.y ^ signs1, signs1); -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + 8*kqsx + (2*l+0)] = grid_l; x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + 8*kqsx + (2*l+1)] = grid_h; #else x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + (2*l+0)] = grid_l; x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + (2*l+1)] = grid_h; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } const int ls = 1 + 2*((bxi->scales[kqsx/2] >> (((2*kqsx) << 1) & 0x04)) & 0x0F); const float d = bxi->d; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_df[i*MMQ_MMA_TILE_X_K_Q8_0 + kqsx] = ls*d; #else x_df[i*(WARP_SIZE/4) + i/4 + kqsx] = ls*d; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } template static __device__ __forceinline__ void load_tiles_iq1_s( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; half2 * x_ds = (half2 *) (x_qs + WARP_SIZE*2); #else constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_IQ3_S, mmq_y); int * x_qs = (int *) x_tile; half2 * x_ds = (half2 *) (x_qs + txs.qs); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE const int kqsx = threadIdx.x % QI1_S; @@ -2198,37 +2201,37 @@ template static __device__ __forceinlin const int grid0 = (grid >> 0) & 0x0F0F0F0F; const int grid1 = (grid >> 4) & 0x0F0F0F0F; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q8_1 + 8*kqsx + (2*l+0)] = grid0; x_qs[i*MMQ_MMA_TILE_X_K_Q8_1 + 8*kqsx + (2*l+1)] = grid1; #else x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + (2*l+0)] = grid0; x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + (2*l+1)] = grid1; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } const float d1q = __half2float(bxi->d) * (((qh >> 11) & 0x0E) + 1); const float delta = -1.0f + IQ1S_DELTA - (qh & 0x8000) * (2.0f*IQ1S_DELTA/0x8000); -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_ds[i*MMQ_MMA_TILE_X_K_Q8_1 + kqsx] = make_half2(d1q, d1q*delta); #else x_ds[i*(WARP_SIZE/4) + i/4 + kqsx] = make_half2(d1q, d1q*delta); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } template static __device__ __forceinline__ void load_tiles_iq4_xs( const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) { -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + WARP_SIZE*2); #else constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_IQ4_XS, mmq_y); int * x_qs = (int *) x_tile; float * x_df = (float *) (x_qs + txs.qs); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE const int kbx = 0; // threadIdx.x / QI4_XS const int kqsx = threadIdx.x; // threadIdx.x % QI4_XS @@ -2246,13 +2249,13 @@ template static __device__ __forceinlin const int aux_q4 = get_int_b4(bxi->qs, kqsx); const int2 v = get_int_from_table_16(aux_q4); const int k0 = 8 * (threadIdx.x / 4) + threadIdx.x % 4; -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + k0 + 0] = v.x; x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + k0 + 4] = v.y; #else x_qs[i*(2*WARP_SIZE + 1) + k0 + 0] = v.x; x_qs[i*(2*WARP_SIZE + 1) + k0 + 4] = v.y; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } #pragma unroll @@ -2270,11 +2273,11 @@ template static __device__ __forceinlin const int ls = ((bxi->scales_l[(threadIdx.x % 8)/2] >> (4*(threadIdx.x % 2))) & 0x0F) | (((bxi->scales_h >> (2*(threadIdx.x % 8))) & 0x03) << 4); -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE x_df[i*MMQ_MMA_TILE_X_K_Q8_0 + threadIdx.x % 8] = d * (ls - 32); #else x_df[i*(WARP_SIZE/4) + i/4 + threadIdx.x % 8] = d * (ls - 32); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE } } @@ -2307,16 +2310,16 @@ template static __device__ __forceinline__ void mmq_write_back_mma( const float * __restrict__ sum, float * __restrict__ dst, const int & stride, const int & i_max, const int & j_max) { - typedef mma_int_C_I16J8 mma_C; + typedef mma_C_I16J8 mma_C; constexpr int granularity = mmq_get_granularity_device(mmq_x); constexpr int rows_per_warp = 2 * granularity; constexpr int ntx = rows_per_warp/mma_C::I; // Number of x minitiles per warp. const int i0 = (threadIdx.y / ntx) * (ntx*mma_C::I); -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE static_assert(nwarps*mma_C::I == mmq_y, "nwarps*mma_C::I != mmq_y"); -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE #pragma unroll for (int j0 = 0; j0 < mmq_x; j0 += ntx*mma_C::J) { @@ -2505,13 +2508,13 @@ static __device__ void mul_mat_q_process_tile( int * tile_y = (int *) data_mul_mat_q; int * tile_x = tile_y + GGML_PAD(mmq_x*(WARP_SIZE + WARP_SIZE/QI8_1), nwarps*WARP_SIZE); -#ifdef INT8_MMA_AVAILABLE +#ifdef NEW_MMA_AVAILABLE constexpr vec_dot_mmq_t vec_dot = mmq_type_traits::vec_dot_mma; constexpr mmq_write_back_t write_back = mmq_write_back_mma; #else constexpr vec_dot_mmq_t vec_dot = mmq_type_traits::vec_dot_dp4a; constexpr mmq_write_back_t write_back = mmq_write_back_dp4a; -#endif // INT8_MMA_AVAILABLE +#endif // NEW_MMA_AVAILABLE constexpr int blocks_per_iter = MMQ_ITER_K / qk; @@ -2643,7 +2646,7 @@ static __global__ void mul_mat_q( const int jt = kbc / (blocks_per_ne00*nty); const int it = (kbc - jt*(blocks_per_ne00*nty)) / blocks_per_ne00; - constexpr bool fixup = true; // Last index writes it data to fixup buffer to avoid data races with other blocks. + constexpr bool fixup = true; // Last index writes its data to fixup buffer to avoid data races with other blocks. mul_mat_q_process_tile (x, yc, dst, tmp_fixup, ne00, ne01, stride01, ne10, ne11, stride11, ne0, it, jt, kb0_start, kb0_stop); @@ -2749,7 +2752,7 @@ template static int mmq_get_shmem(const int mmq_x, const int mmq_y, const int cc) { const tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(type, mmq_y); const int mmq_tile_x_k = mmq_get_mma_tile_x_k(type); - const int shmem_x = int8_mma_available(cc) ? mmq_y*mmq_tile_x_k*sizeof(int) : txs.qs*sizeof(int) + txs.dm*sizeof(half2) + txs.sc*sizeof(int); + const int shmem_x = new_mma_available(cc) ? mmq_y*mmq_tile_x_k*sizeof(int) : txs.qs*sizeof(int) + txs.dm*sizeof(half2) + txs.sc*sizeof(int); const int shmem_y = mmq_x*sizeof(block_q8_1_mmq); return shmem_x + GGML_PAD(shmem_y, MMQ_NWARPS*WARP_SIZE*sizeof(int)); } diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb16.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb16.cu new file mode 100644 index 000000000..f09bdeff7 --- /dev/null +++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb16.cu @@ -0,0 +1,10 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-mma-f16.cuh" + +DECL_FATTN_MMA_F16_CASE(64, 16); +DECL_FATTN_MMA_F16_CASE(80, 16); +DECL_FATTN_MMA_F16_CASE(96, 16); +DECL_FATTN_MMA_F16_CASE(112, 16); +DECL_FATTN_MMA_F16_CASE(128, 16); +DECL_FATTN_MMA_F16_CASE(256, 16); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb32.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb32.cu new file mode 100644 index 000000000..221108873 --- /dev/null +++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb32.cu @@ -0,0 +1,10 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-mma-f16.cuh" + +DECL_FATTN_MMA_F16_CASE(64, 32); +DECL_FATTN_MMA_F16_CASE(80, 32); +DECL_FATTN_MMA_F16_CASE(96, 32); +DECL_FATTN_MMA_F16_CASE(112, 32); +DECL_FATTN_MMA_F16_CASE(128, 32); +DECL_FATTN_MMA_F16_CASE(256, 32); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb64.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb64.cu new file mode 100644 index 000000000..d24b08575 --- /dev/null +++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb64.cu @@ -0,0 +1,10 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-mma-f16.cuh" + +DECL_FATTN_MMA_F16_CASE(64, 64); +DECL_FATTN_MMA_F16_CASE(80, 64); +DECL_FATTN_MMA_F16_CASE(96, 64); +DECL_FATTN_MMA_F16_CASE(112, 64); +DECL_FATTN_MMA_F16_CASE(128, 64); +DECL_FATTN_MMA_F16_CASE(256, 64); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb8.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb8.cu new file mode 100644 index 000000000..bdf86c0ea --- /dev/null +++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-cpb8.cu @@ -0,0 +1,10 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-mma-f16.cuh" + +DECL_FATTN_MMA_F16_CASE(64, 8); +DECL_FATTN_MMA_F16_CASE(80, 8); +DECL_FATTN_MMA_F16_CASE(96, 8); +DECL_FATTN_MMA_F16_CASE(112, 8); +DECL_FATTN_MMA_F16_CASE(128, 8); +DECL_FATTN_MMA_F16_CASE(256, 8); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb16.cu b/ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb16.cu deleted file mode 100644 index 2d94e65c2..000000000 --- a/ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb16.cu +++ /dev/null @@ -1,10 +0,0 @@ -// This file has been autogenerated by generate_cu_files.py, do not edit manually. - -#include "../fattn-wmma-f16.cuh" - -DECL_FATTN_WMMA_F16_CASE(64, 16, float); -DECL_FATTN_WMMA_F16_CASE(80, 16, float); -DECL_FATTN_WMMA_F16_CASE(96, 16, float); -DECL_FATTN_WMMA_F16_CASE(112, 16, float); -DECL_FATTN_WMMA_F16_CASE(128, 16, float); -DECL_FATTN_WMMA_F16_CASE(256, 16, float); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb32.cu b/ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb32.cu deleted file mode 100644 index c3d9df3c4..000000000 --- a/ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb32.cu +++ /dev/null @@ -1,9 +0,0 @@ -// This file has been autogenerated by generate_cu_files.py, do not edit manually. - -#include "../fattn-wmma-f16.cuh" - -DECL_FATTN_WMMA_F16_CASE(64, 32, float); -DECL_FATTN_WMMA_F16_CASE(80, 32, float); -DECL_FATTN_WMMA_F16_CASE(96, 32, float); -DECL_FATTN_WMMA_F16_CASE(112, 32, float); -DECL_FATTN_WMMA_F16_CASE(128, 32, float); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb16.cu b/ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb16.cu deleted file mode 100644 index bb680e401..000000000 --- a/ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb16.cu +++ /dev/null @@ -1,10 +0,0 @@ -// This file has been autogenerated by generate_cu_files.py, do not edit manually. - -#include "../fattn-wmma-f16.cuh" - -DECL_FATTN_WMMA_F16_CASE(64, 16, half); -DECL_FATTN_WMMA_F16_CASE(80, 16, half); -DECL_FATTN_WMMA_F16_CASE(96, 16, half); -DECL_FATTN_WMMA_F16_CASE(112, 16, half); -DECL_FATTN_WMMA_F16_CASE(128, 16, half); -DECL_FATTN_WMMA_F16_CASE(256, 16, half); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb32.cu b/ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb32.cu deleted file mode 100644 index 073f71b1f..000000000 --- a/ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb32.cu +++ /dev/null @@ -1,10 +0,0 @@ -// This file has been autogenerated by generate_cu_files.py, do not edit manually. - -#include "../fattn-wmma-f16.cuh" - -DECL_FATTN_WMMA_F16_CASE(64, 32, half); -DECL_FATTN_WMMA_F16_CASE(80, 32, half); -DECL_FATTN_WMMA_F16_CASE(96, 32, half); -DECL_FATTN_WMMA_F16_CASE(112, 32, half); -DECL_FATTN_WMMA_F16_CASE(128, 32, half); -DECL_FATTN_WMMA_F16_CASE(256, 32, half); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb8.cu b/ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb8.cu deleted file mode 100644 index d30710c5f..000000000 --- a/ggml/src/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb8.cu +++ /dev/null @@ -1,8 +0,0 @@ -// This file has been autogenerated by generate_cu_files.py, do not edit manually. - -#include "../fattn-wmma-f16.cuh" - -DECL_FATTN_WMMA_F16_CASE(64, 8, half); -DECL_FATTN_WMMA_F16_CASE(96, 8, half); -DECL_FATTN_WMMA_F16_CASE(128, 8, half); -DECL_FATTN_WMMA_F16_CASE(256, 8, half); diff --git a/ggml/src/ggml-cuda/template-instances/generate_cu_files.py b/ggml/src/ggml-cuda/template-instances/generate_cu_files.py index d7874e6ea..a2628f16e 100755 --- a/ggml/src/ggml-cuda/template-instances/generate_cu_files.py +++ b/ggml/src/ggml-cuda/template-instances/generate_cu_files.py @@ -12,13 +12,13 @@ SOURCE_FATTN_VEC = """// This file has been autogenerated by generate_cu_files.p DECL_FATTN_VEC_F{vkq_size}_CASE({head_size}, {type_k}, {type_v}); """ -SOURCE_FATTN_WMMA_START = """// This file has been autogenerated by generate_cu_files.py, do not edit manually. +SOURCE_FATTN_MMA_START = """// This file has been autogenerated by generate_cu_files.py, do not edit manually. -#include "../fattn-wmma-f16.cuh" +#include "../fattn-mma-f16.cuh" """ -SOURCE_FATTN_WMMA_CASE = "DECL_FATTN_WMMA_F16_CASE({head_size}, {cols_per_block}, {kq_acc_t});\n" +SOURCE_FATTN_MMA_CASE = "DECL_FATTN_MMA_F16_CASE({head_size}, {cols_per_block});\n" TYPES_MMQ = [ "GGML_TYPE_Q4_0", "GGML_TYPE_Q4_1", "GGML_TYPE_Q5_0", "GGML_TYPE_Q5_1", "GGML_TYPE_Q8_0", @@ -57,20 +57,12 @@ for vkq_size in [16, 32]: with open(f"fattn-vec-f{vkq_size}-instance-hs{head_size}-{get_short_name(type_k)}-{get_short_name(type_v)}.cu", "w") as f: f.write(SOURCE_FATTN_VEC.format(vkq_size=vkq_size, head_size=head_size, type_k=type_k, type_v=type_v)) -for kq_acc_t in ["half", "float"]: - for cols_per_block in [8, 16, 32]: - if kq_acc_t == "float" and cols_per_block == 8: - continue +for cols_per_block in [8, 16, 32, 64]: + with open(f"fattn-mma-f16-instance-cpb{cols_per_block}.cu", "w") as f: + f.write(SOURCE_FATTN_MMA_START) - with open(f"fattn-wmma-f16-instance-kq{kq_acc_t}-cpb{cols_per_block}.cu", "w") as f: - f.write(SOURCE_FATTN_WMMA_START) - - for head_size in [64, 80, 96, 112, 128, 256]: - if cols_per_block == 8 and head_size % 32 != 0: # wmma fragment is 8x32 - continue - if kq_acc_t == "float" and cols_per_block == 32 and head_size == 256: # register spilling, bad performance - continue - f.write(SOURCE_FATTN_WMMA_CASE.format(kq_acc_t=kq_acc_t, cols_per_block=cols_per_block, head_size=head_size)) + for head_size in [64, 80, 96, 112, 128, 256]: + f.write(SOURCE_FATTN_MMA_CASE.format(cols_per_block=cols_per_block, head_size=head_size)) for type in TYPES_MMQ: with open(f"mmq-instance-{get_short_name(type)}.cu", "w") as f: diff --git a/ggml/src/ggml-cuda/vendors/hip.h b/ggml/src/ggml-cuda/vendors/hip.h index 8594093f0..129478ed7 100644 --- a/ggml/src/ggml-cuda/vendors/hip.h +++ b/ggml/src/ggml-cuda/vendors/hip.h @@ -25,6 +25,7 @@ #define CU_MEM_LOCATION_TYPE_DEVICE hipMemLocationTypeDevice #define CU_MEM_ACCESS_FLAGS_PROT_READWRITE hipMemAccessFlagsProtReadWrite #define CU_CHECK(fn) {hipError_t err = fn; if(err != hipSuccess) { GGML_ABORT("HipVMM Failure: %s\n", hipGetErrorString(err)); }} +#define __shfl_sync(mask, var, laneMask, width) __shfl(var, laneMask, width) #define __shfl_xor_sync(mask, var, laneMask, width) __shfl_xor(var, laneMask, width) #define cublasComputeType_t hipblasDatatype_t //deprecated, new hipblasComputeType_t not in 5.6 #define cublasCreate hipblasCreate diff --git a/ggml/src/ggml-hip/CMakeLists.txt b/ggml/src/ggml-hip/CMakeLists.txt index 7a877bdc1..eb03e10fa 100644 --- a/ggml/src/ggml-hip/CMakeLists.txt +++ b/ggml/src/ggml-hip/CMakeLists.txt @@ -50,7 +50,7 @@ file(GLOB GGML_HEADERS_ROCM "../ggml-cuda/*.cuh") list(APPEND GGML_HEADERS_ROCM "../../include/ggml-cuda.h") file(GLOB GGML_SOURCES_ROCM "../ggml-cuda/*.cu") -file(GLOB SRCS "../ggml-cuda/template-instances/fattn-wmma*.cu") +file(GLOB SRCS "../ggml-cuda/template-instances/fattn-mma*.cu") list(APPEND GGML_SOURCES_ROCM ${SRCS}) file(GLOB SRCS "../ggml-cuda/template-instances/mmq*.cu") list(APPEND GGML_SOURCES_ROCM ${SRCS}) diff --git a/ggml/src/ggml-musa/CMakeLists.txt b/ggml/src/ggml-musa/CMakeLists.txt index 415b2b2e0..2f555416e 100644 --- a/ggml/src/ggml-musa/CMakeLists.txt +++ b/ggml/src/ggml-musa/CMakeLists.txt @@ -29,7 +29,7 @@ if (MUSAToolkit_FOUND) list(APPEND GGML_HEADERS_MUSA "../../include/ggml-cuda.h") file(GLOB GGML_SOURCES_MUSA "../ggml-cuda/*.cu") - file(GLOB SRCS "../ggml-cuda/template-instances/fattn-wmma*.cu") + file(GLOB SRCS "../ggml-cuda/template-instances/fattn-mma*.cu") list(APPEND GGML_SOURCES_MUSA ${SRCS}) file(GLOB SRCS "../ggml-cuda/template-instances/mmq*.cu") list(APPEND GGML_SOURCES_MUSA ${SRCS}) From 90f9b88afb6447d3929843a2aa98c0f11074762d Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Sun, 2 Feb 2025 19:58:34 +0000 Subject: [PATCH 099/162] nit: more informative crash when grammar sampler fails (#11593) --- src/llama-grammar.cpp | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/src/llama-grammar.cpp b/src/llama-grammar.cpp index 6be5cbe0e..9b518d1ac 100644 --- a/src/llama-grammar.cpp +++ b/src/llama-grammar.cpp @@ -1213,5 +1213,7 @@ void llama_grammar_accept_str(struct llama_grammar & grammar, const std::string } grammar.partial_utf8 = decoded.second; - GGML_ASSERT(!grammar.stacks.empty()); + if (grammar.stacks.empty()) { + throw std::runtime_error("Unexpected empty grammar stack after accepting piece: " + piece); + } } From 4d0598e1445a64c99cf2faac72f8d5d023f1e6a1 Mon Sep 17 00:00:00 2001 From: uvos Date: Sun, 2 Feb 2025 22:08:05 +0100 Subject: [PATCH 100/162] HIP: add GGML_CUDA_CC_IS_* for amd familys as increasing cc archtectures for amd gpus are not supersets of eatch other (#11601) This fixes a bug where RDNA1 gpus other than gfx1010 where not handled correctly --- ggml/src/ggml-cuda/common.cuh | 7 +++++++ ggml/src/ggml-cuda/ggml-cuda.cu | 4 ++-- ggml/src/ggml-cuda/mmq.cu | 2 +- ggml/src/ggml-cuda/mmq.cuh | 2 +- 4 files changed, 11 insertions(+), 4 deletions(-) diff --git a/ggml/src/ggml-cuda/common.cuh b/ggml/src/ggml-cuda/common.cuh index 88be8fc8a..232163c1c 100644 --- a/ggml/src/ggml-cuda/common.cuh +++ b/ggml/src/ggml-cuda/common.cuh @@ -61,6 +61,13 @@ #define GGML_CUDA_CC_RDNA2 (GGML_CUDA_CC_OFFSET_AMD + 0x1030) // RX 6000, minimum for dp4a #define GGML_CUDA_CC_RDNA3 (GGML_CUDA_CC_OFFSET_AMD + 0x1100) // RX 7000, minimum for WMMA +#define GGML_CUDA_CC_IS_RDNA(cc) (cc >= GGML_CUDA_CC_RDNA1) +#define GGML_CUDA_CC_IS_RDNA1(cc) (cc >= GGML_CUDA_CC_RDNA1 && cc < GGML_CUDA_CC_RDNA2) +#define GGML_CUDA_CC_IS_RDNA2(cc) (cc >= GGML_CUDA_CC_RDNA2 && cc < GGML_CUDA_CC_RDNA3) +#define GGML_CUDA_CC_IS_RDNA3(cc) (cc >= GGML_CUDA_CC_RDNA3) +#define GGML_CUDA_CC_IS_GCN(cc) (cc > GGML_CUDA_CC_OFFSET_AMD && cc < GGML_CUDA_CC_CDNA) +#define GGML_CUDA_CC_IS_CDNA(cc) (cc >= GGML_CUDA_CC_CDNA && cc < GGML_CUDA_CC_RDNA1) + #define GGML_CUDA_CC_QY1 210 #define GGML_CUDA_CC_QY2 220 diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index 383131c77..bda10aec1 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -1205,7 +1205,7 @@ static void ggml_cuda_op_mul_mat_cublas( CUBLAS_CHECK(cublasSetStream(ctx.cublas_handle(id), stream)); - if (compute_capability == GGML_CUDA_CC_CDNA) { + if (GGML_CUDA_CC_IS_CDNA(compute_capability)) { const float alpha = 1.0f; const float beta = 0.0f; CUBLAS_CHECK( @@ -1750,7 +1750,7 @@ static void ggml_cuda_mul_mat_batched_cublas(ggml_backend_cuda_context & ctx, co beta = &beta_f32; } - if (ggml_cuda_info().devices[ctx.device].cc == GGML_CUDA_CC_CDNA) { + if (GGML_CUDA_CC_IS_CDNA(ggml_cuda_info().devices[ctx.device].cc)) { cu_compute_type = CUBLAS_COMPUTE_32F; alpha = &alpha_f32; beta = &beta_f32; diff --git a/ggml/src/ggml-cuda/mmq.cu b/ggml/src/ggml-cuda/mmq.cu index 83cb78cbd..45212f66c 100644 --- a/ggml/src/ggml-cuda/mmq.cu +++ b/ggml/src/ggml-cuda/mmq.cu @@ -148,5 +148,5 @@ bool ggml_cuda_should_use_mmq(enum ggml_type type, int cc, int64_t ne11) { return cc < GGML_CUDA_CC_VOLTA || ne11 < MMQ_DP4A_MAX_BATCH_SIZE; } - return (cc < GGML_CUDA_CC_RDNA3 && cc != GGML_CUDA_CC_CDNA && cc != GGML_CUDA_CC_VEGA20) || ne11 < MMQ_DP4A_MAX_BATCH_SIZE; + return (!GGML_CUDA_CC_IS_RDNA3(cc) && !GGML_CUDA_CC_IS_CDNA(cc) && !GGML_CUDA_CC_IS_GCN(cc)) || ne11 < MMQ_DP4A_MAX_BATCH_SIZE; } diff --git a/ggml/src/ggml-cuda/mmq.cuh b/ggml/src/ggml-cuda/mmq.cuh index c05c84778..7a2c4d85b 100644 --- a/ggml/src/ggml-cuda/mmq.cuh +++ b/ggml/src/ggml-cuda/mmq.cuh @@ -120,7 +120,7 @@ static constexpr __device__ int get_mmq_x_max_device() { } static constexpr int get_mmq_y_host(const int cc) { - return cc >= GGML_CUDA_CC_OFFSET_AMD ? (cc == GGML_CUDA_CC_RDNA1 ? 64 : 128) : (cc >= GGML_CUDA_CC_VOLTA ? 128 : 64); + return cc >= GGML_CUDA_CC_OFFSET_AMD ? (GGML_CUDA_CC_IS_RDNA1(cc) ? 64 : 128) : (cc >= GGML_CUDA_CC_VOLTA ? 128 : 64); } static constexpr __device__ int get_mmq_y_device() { From 396856b40029dd6747d2fbdb179e828683418045 Mon Sep 17 00:00:00 2001 From: uvos Date: Sun, 2 Feb 2025 22:40:09 +0100 Subject: [PATCH 101/162] CUDA/HIP: add support for selectable warp size to mmv (#11519) CUDA/HIP: add support for selectable warp size to mmv --- ggml/src/ggml-cuda/common.cuh | 8 +++++++ ggml/src/ggml-cuda/mmv.cu | 38 ++++++++++++++++++++------------ ggml/src/ggml-cuda/vendors/hip.h | 2 ++ 3 files changed, 34 insertions(+), 14 deletions(-) diff --git a/ggml/src/ggml-cuda/common.cuh b/ggml/src/ggml-cuda/common.cuh index 232163c1c..174916bc9 100644 --- a/ggml/src/ggml-cuda/common.cuh +++ b/ggml/src/ggml-cuda/common.cuh @@ -176,6 +176,14 @@ static constexpr bool new_mma_available(const int cc) { return cc < GGML_CUDA_CC_OFFSET_AMD && cc >= GGML_CUDA_CC_TURING; } +static constexpr __device__ int ggml_cuda_get_physical_warp_size() { +#if defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__) + return __AMDGCN_WAVEFRONT_SIZE; +#else + return 32; +#endif // defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__) +} + [[noreturn]] static __device__ void no_device_code( const char * file_name, const int line, const char * function_name, const int arch, const char * arch_list) { diff --git a/ggml/src/ggml-cuda/mmv.cu b/ggml/src/ggml-cuda/mmv.cu index ac45f2d17..5a9ddd958 100644 --- a/ggml/src/ggml-cuda/mmv.cu +++ b/ggml/src/ggml-cuda/mmv.cu @@ -5,9 +5,10 @@ template static __global__ void mul_mat_vec( const T * __restrict__ x, const float * __restrict__ y, float * __restrict__ dst, const int64_t ncols2, const int64_t stride_row, const int64_t channel_ratio, const int64_t stride_channel_x, const int64_t stride_channel_y, const int64_t stride_channel_dst) { - const int64_t row = blockIdx.x; - const int64_t channel = blockIdx.z; - const int tid = threadIdx.x; + const int64_t row = blockIdx.x; + const int64_t channel = blockIdx.z; + const int tid = threadIdx.x; + constexpr int warp_size = ggml_cuda_get_physical_warp_size(); x += (channel/channel_ratio)*stride_channel_x + row*stride_row; y += channel *stride_channel_y; @@ -18,8 +19,8 @@ static __global__ void mul_mat_vec( extern __shared__ char data_mmv[]; float * buf_iw = (float *) data_mmv; - if (block_size > WARP_SIZE) { - if (tid < WARP_SIZE) { + if (block_size > warp_size) { + if (tid < warp_size) { buf_iw[tid] = 0.0f; } __syncthreads(); @@ -67,16 +68,16 @@ static __global__ void mul_mat_vec( static_assert(std::is_same::value, "unsupported type"); } - sumf = warp_reduce_sum(sumf); + sumf = warp_reduce_sum(sumf); - if (block_size > WARP_SIZE) { - buf_iw[tid/WARP_SIZE] = sumf; + if (block_size > warp_size) { + buf_iw[tid/warp_size] = sumf; __syncthreads(); - if (tid >= WARP_SIZE) { + if (tid >= warp_size) { return; } sumf = buf_iw[tid]; - sumf = warp_reduce_sum(sumf); + sumf = warp_reduce_sum(sumf); } if (tid != 0) { @@ -96,10 +97,19 @@ static void launch_mul_mat_vec_cuda( GGML_ASSERT(stride_row % 2 == 0); GGML_ASSERT(nchannels_y % nchannels_x == 0); const int64_t channel_ratio = nchannels_y / nchannels_x; + int device; + int warp_size; - int64_t block_size_best = WARP_SIZE; - int64_t niter_best = (ncols + 2*WARP_SIZE - 1) / (2*WARP_SIZE); - for (int64_t block_size = 2*WARP_SIZE; block_size <= 256; block_size += WARP_SIZE) { + CUDA_CHECK(cudaGetDevice(&device)); + warp_size = ggml_cuda_info().devices[device].warp_size; + + int64_t block_size_best = warp_size; + int64_t niter_best = (ncols + 2*warp_size - 1) / (2*warp_size); + int64_t max_block_size = 256; + if(ggml_cuda_info().devices[device].cc > GGML_CUDA_CC_OFFSET_AMD && ggml_cuda_info().devices[device].cc < GGML_CUDA_CC_RDNA1) { + max_block_size = 128; + } + for (int64_t block_size = 2*warp_size; block_size <= max_block_size; block_size += warp_size) { const int64_t niter = (ncols + 2*block_size - 1) / (2*block_size); if (niter < niter_best) { niter_best = niter; @@ -107,7 +117,7 @@ static void launch_mul_mat_vec_cuda( } } - const int smem = WARP_SIZE*sizeof(float); + const int smem = warp_size*sizeof(float); const dim3 block_nums(nrows, 1, nchannels_y); const dim3 block_dims(block_size_best, 1, 1); switch (block_size_best) { diff --git a/ggml/src/ggml-cuda/vendors/hip.h b/ggml/src/ggml-cuda/vendors/hip.h index 129478ed7..81964611c 100644 --- a/ggml/src/ggml-cuda/vendors/hip.h +++ b/ggml/src/ggml-cuda/vendors/hip.h @@ -1,5 +1,6 @@ #pragma once +#define HIP_ENABLE_WARP_SYNC_BUILTINS 1 #include #include #include @@ -8,6 +9,7 @@ // for rocblas_initialize() #include "rocblas/rocblas.h" #endif // __HIP_PLATFORM_AMD__ + #define CUBLAS_COMPUTE_16F HIPBLAS_R_16F #define CUBLAS_COMPUTE_32F HIPBLAS_R_32F #define CUBLAS_COMPUTE_32F_FAST_16F HIPBLAS_R_32F From 6eecde3cc8fda44da7794042e3668de4af3c32c6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= Date: Sun, 2 Feb 2025 23:48:29 +0100 Subject: [PATCH 102/162] HIP: fix flash_attn_stream_k_fixup warning (#11604) --- ggml/src/ggml-cuda/fattn-common.cuh | 10 ++++++++++ ggml/src/ggml-cuda/softmax.cu | 4 ++-- 2 files changed, 12 insertions(+), 2 deletions(-) diff --git a/ggml/src/ggml-cuda/fattn-common.cuh b/ggml/src/ggml-cuda/fattn-common.cuh index cfd7c0f44..d40ee2da4 100644 --- a/ggml/src/ggml-cuda/fattn-common.cuh +++ b/ggml/src/ggml-cuda/fattn-common.cuh @@ -516,6 +516,12 @@ constexpr __device__ dequantize_1_f32_t get_dequantize_1_f32(ggml_type type_V) { nullptr; } +// The HIP compiler for some reason complains that it can't unroll a loop because of the jt*ncols + j >= ne01 conditional. +#ifdef __clang__ +#pragma clang diagnostic push +#pragma clang diagnostic ignored "-Wpass-failed" +#endif // __clang__ + template // D == head size #if !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) __launch_bounds__(D, 1) @@ -614,6 +620,10 @@ static __global__ void flash_attn_stream_k_fixup( } } +#ifdef __clang__ +#pragma clang diagnostic pop +#endif // __clang__ + template // D == head size #if !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) __launch_bounds__(D, 1) diff --git a/ggml/src/ggml-cuda/softmax.cu b/ggml/src/ggml-cuda/softmax.cu index da377200e..aac6e0999 100644 --- a/ggml/src/ggml-cuda/softmax.cu +++ b/ggml/src/ggml-cuda/softmax.cu @@ -18,7 +18,7 @@ __device__ float __forceinline__ t2f32(half val) { #ifdef __clang__ #pragma clang diagnostic push #pragma clang diagnostic ignored "-Wpass-failed" -#endif +#endif // __clang__ template static __global__ void soft_max_f32( const float * x, const T * mask, float * dst, const int ncols_par, const int nrows_y, @@ -126,7 +126,7 @@ static __global__ void soft_max_f32( } #ifdef __clang__ #pragma clang diagnostic pop -#endif +#endif // __clang__ static __global__ void soft_max_back_f32( const float * grad, const float * dstf, float * dst, const int ncols, const float scale) { From d92cb67e37abc23b1c6f7b0ef27a9889da8537e3 Mon Sep 17 00:00:00 2001 From: mashdragon <122402293+mashdragon@users.noreply.github.com> Date: Mon, 3 Feb 2025 09:42:55 +0000 Subject: [PATCH 103/162] server : (webui) Fix Shift+Enter handling (#11609) * Fix Shift+Enter handling `exact` on the Enter handler means the message is not sent when Shift+Enter is pressed anyway * build index.html.gz --------- Co-authored-by: Xuan Son Nguyen --- examples/server/public/index.html.gz | Bin 1207150 -> 1207129 bytes examples/server/webui/index.html | 1 - 2 files changed, 1 deletion(-) diff --git a/examples/server/public/index.html.gz b/examples/server/public/index.html.gz index 582ccc0d3f8d07ce79dd9e978772f9c5ea85c426..3a2529aa2fb84485aa480d3d476e5ef27eab8e27 100644 GIT binary patch delta 8942 zcmV!{H12 z(h+_QKaXF)egsEW0U!zsLA0db#}RI6y1_zKW>!|_S8Eo}Z$Yk~HnVSGpXJZDr#87V z(Blg9_^FwHUE0m10q1fu*xm3pygeO|e~a7Qm%RNn`1=#n+b7N|tadR}jZ)0?f?Zp!lfBhwr3xtLY#n)~T|a~?AL*l@f53F`U$ zX6Az3Jl{aMUvoeHQp)#&eZI;0EO~vnd>=RGe}_%Im#{y^h;3S^|R#pxLoJ(y=S}}+vog_ 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to add a new line)" v-model="inputMsg" @keydown.enter.exact.prevent="sendMessage" - @keydown.enter.shift.exact.prevent="inputMsg += '\n'" :disabled="isGenerating" id="msg-input" dir="auto" From 21c84b5d2dc04050714567501bf78762bfa17846 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= Date: Mon, 3 Feb 2025 13:25:56 +0100 Subject: [PATCH 104/162] CUDA: fix Volta FlashAttention logic (#11615) --- ggml/src/ggml-cuda/fattn-wmma-f16.cu | 2 +- ggml/src/ggml-cuda/fattn.cu | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/ggml/src/ggml-cuda/fattn-wmma-f16.cu b/ggml/src/ggml-cuda/fattn-wmma-f16.cu index 1054ff95d..45702ad65 100644 --- a/ggml/src/ggml-cuda/fattn-wmma-f16.cu +++ b/ggml/src/ggml-cuda/fattn-wmma-f16.cu @@ -561,7 +561,7 @@ void ggml_cuda_flash_attn_ext_wmma_f16(ggml_backend_cuda_context & ctx, ggml_ten ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, float>(ctx, dst); break; // case 256: - // ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, float>(ctx, dst); + // ggml_cuda_flash_attn_ext_wmma_f16_case<256, cols_per_block, float>(ctx, dst); // break; default: GGML_ABORT("fatal error"); diff --git a/ggml/src/ggml-cuda/fattn.cu b/ggml/src/ggml-cuda/fattn.cu index b1e66d470..b0cf152f5 100644 --- a/ggml/src/ggml-cuda/fattn.cu +++ b/ggml/src/ggml-cuda/fattn.cu @@ -235,7 +235,7 @@ void ggml_cuda_flash_attn_ext(ggml_backend_cuda_context & ctx, ggml_tensor * dst return; } - if (!new_mma_available(cc)) { + if (!fp16_mma_available(cc)) { if (prec == GGML_PREC_DEFAULT) { if (Q->ne[1] <= 8) { ggml_cuda_flash_attn_ext_vec_f16(ctx, dst); @@ -265,6 +265,7 @@ void ggml_cuda_flash_attn_ext(ggml_backend_cuda_context & ctx, ggml_tensor * dst // The MMA implementation needs Turing or newer, use the old WMMA code for Volta: if (cc == GGML_CUDA_CC_VOLTA) { ggml_cuda_flash_attn_ext_wmma_f16(ctx, dst); + return; } ggml_cuda_flash_attn_ext_mma_f16(ctx, dst); From 8ec05832fa8409c49b3bbd13f957c6ae8486e618 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Mon, 3 Feb 2025 14:57:08 +0200 Subject: [PATCH 105/162] sync : ggml --- scripts/sync-ggml.last | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/sync-ggml.last b/scripts/sync-ggml.last index ddb9d817e..34f1cbf69 100644 --- a/scripts/sync-ggml.last +++ b/scripts/sync-ggml.last @@ -1 +1 @@ -32f0b85987396945afea2291d5f4c5862434292b +498e0ecd2c4f9379439fd413805af10e8e9ff349 From 5598f475be3e31430fbe17ebb85654ec90dc201e Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Mon, 3 Feb 2025 16:45:38 +0100 Subject: [PATCH 106/162] server : remove CPPHTTPLIB_NO_EXCEPTIONS define (#11622) This commit removes the CPPHTTPLIB_NO_EXCEPTIONS define from the server code. The motivation for this is that when using a debug build the server would crash when an exception was throws and terminate the server process, as it was unhandled. When CPPHTTPLIB_NO_EXCEPTIONS is set cpp_httplib will not call the exception handler, which would normally return a 500 error to the client. This caused tests to fail when using a debug build. Fixes: https://github.com/ggerganov/llama.cpp/issues/11613 --- examples/server/utils.hpp | 4 ---- 1 file changed, 4 deletions(-) diff --git a/examples/server/utils.hpp b/examples/server/utils.hpp index fefdce55b..5f97df5fd 100644 --- a/examples/server/utils.hpp +++ b/examples/server/utils.hpp @@ -5,10 +5,6 @@ #include "llama.h" #include "common/base64.hpp" -#ifndef NDEBUG -// crash the server in debug mode, otherwise send an http 500 error -#define CPPHTTPLIB_NO_EXCEPTIONS 1 -#endif // increase max payload length to allow use of larger context size #define CPPHTTPLIB_FORM_URL_ENCODED_PAYLOAD_MAX_LENGTH 1048576 #include "httplib.h" From 1d1e6a90bcf485ad2dee309c31cf19bd802465e5 Mon Sep 17 00:00:00 2001 From: Woof Dog <197125663+woof-dog@users.noreply.github.com> Date: Mon, 3 Feb 2025 22:16:27 +0000 Subject: [PATCH 107/162] server : (webui) allow typing and submitting during llm response (#11626) --- examples/server/public/index.html.gz | Bin 1207129 -> 1207175 bytes examples/server/webui/index.html | 1 - examples/server/webui/src/main.js | 8 ++++++++ 3 files changed, 8 insertions(+), 1 deletion(-) diff --git a/examples/server/public/index.html.gz b/examples/server/public/index.html.gz index 3a2529aa2fb84485aa480d3d476e5ef27eab8e27..df3cb1bef96b805742b458d0abf6c9b16826fae8 100644 GIT binary patch delta 868279 zcmV(^K-It5)=7ugNq~d_gaWh!ZJU4OIm?T19nO083TqL$aVB(o2U~3qdfxoXybHd{ z(s`1bZZUjPV^WHc;NFJfZiClBTA=!+2QDo&-WIOsHtj{$Y2Gc%sjNQ`8pFohaGkdW zm59YJnsL;$T+i+5+M?DM&*AOnbR9P5^D*%=+K3yfX*n^*R+qyE*xC-3IAebsxFa)k zW{ZcTG%LI^Zf3HB9h+y3D;Fq+mffC}XJo@y*KRD%Oro~Fs9`u^(;)rlr56$Sh3uUj zfT_=x6^xZv{FmkS{HEu_>xyZ~!rXF>)_N=+UzpcULe#LGDNy;dVdhYvy2ig{SWuv5 z!4B?l)iw)vDdSwbW?@}7R-ny8=mmdP zWN3>94;~a~hrt$rX@Q)!%wL3`)|mgYsyDb^ufufskIU|N53j%E>&Jg@$>Z@wTs-!< z8-dgQF1&Ue)1dR!moHv+!V7DU2o9TGZq5DJIQ1}Et`Klsnkd3!*MCSJve{#Xy@K- zf3kdKcwNeu2j`WjIjjWBo5FcslP|l*)l*oP8aJxu`MS4m9YL*;eCPqwx}xuw3FPOM 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