This commit is contained in:
joshcarp 2024-05-06 15:15:20 -04:00
parent 98ba54e5ec
commit 16b8ecdaf5
2 changed files with 220 additions and 54 deletions

View file

@ -27,54 +27,189 @@ static std::string ggml_ne_string(const ggml_tensor * t) {
return str;
}
static std::string ggml_nb_string(const ggml_tensor * t) {
std::string str;
for (int i = 0; i < GGML_MAX_DIMS; ++i) {
str += std::to_string((t->nb[i]/ggml_element_size(t)));
if (i + 1 < GGML_MAX_DIMS) {
str += ", ";
}
}
return str;
}
static void ggml_print_tensor(uint8_t * data, ggml_type type, const int64_t * ne, const size_t * nb, int64_t n) {
GGML_ASSERT(n > 0);
float sum = 0;
for (int64_t i3 = 0; i3 < ne[3]; i3++) {
printf(" [\n");
for (int64_t i2 = 0; i2 < ne[2]; i2++) {
if (i2 == n && ne[2] > 2*n) {
printf(" ..., \n");
i2 = ne[2] - n;
}
printf(" [\n");
for (int64_t i1 = 0; i1 < ne[1]; i1++) {
if (i1 == n && ne[1] > 2*n) {
printf(" ..., \n");
i1 = ne[1] - n;
}
printf(" [");
for (int64_t i0 = 0; i0 < ne[0]; i0++) {
if (i0 == n && ne[0] > 2*n) {
printf("..., ");
i0 = ne[0] - n;
}
size_t i = i3 * nb[3] + i2 * nb[2] + i1 * nb[1] + i0 * nb[0];
float v;
if (type == GGML_TYPE_F16) {
v = ggml_fp16_to_fp32(*(ggml_fp16_t *) data + i);
} else if (type == GGML_TYPE_F32) {
v = *(float *) data + i;
} else if (type == GGML_TYPE_I32) {
v = (float) *(int32_t *) data + i;
} else if (type == GGML_TYPE_I16) {
v = (float) *(int16_t *) data + i;
} else if (type == GGML_TYPE_I8) {
v = (float) *(int8_t *) data + i;
} else {
GGML_ASSERT(false);
}
printf("%12.4f", v);
sum += v;
if (i0 < ne[0] - 1) printf(", ");
}
printf("],\n");
}
printf(" ],\n");
for (int64_t i0 = 0; i0 < 3; i0++) {
if (i0 == n && ne[0] > 2*n) {
printf("..., ");
i0 = ne[0] - n;
}
printf(" ]\n");
printf(" sum = %f\n", sum);
size_t i = i0;//i3 * nb[3] + i2 * nb[2] + i1 * nb[1] + i0 * nb[0];
float v;
if (type == GGML_TYPE_F16) {
v = ggml_fp16_to_fp32(*(ggml_fp16_t *) data + i);
} else if (type == GGML_TYPE_F32) {
v = *(float *) data + i;
} else if (type == GGML_TYPE_I32) {
v = (float) *((int32_t *) data + i);
} else if (type == GGML_TYPE_I16) {
v = (float) *(int16_t *) data + i;
} else if (type == GGML_TYPE_I8) {
v = (float) *(int8_t *) data + i;
} else {
GGML_ASSERT(false);
}
printf("%12.4f", v);
sum += v;
}
printf("\n");
// for (int64_t i3 = 0; i3 < ne[3]; i3++) {
// printf(" [\n");
// for (int64_t i2 = 0; i2 < ne[2]; i2++) {
// if (i2 == n && ne[2] > 2*n) {
// printf(" ..., \n");
// i2 = ne[2] - n;
// }
// printf(" [\n");
// for (int64_t i1 = 0; i1 < ne[1]; i1++) {
// if (i1 == n && ne[1] > 2*n) {
// printf(" ..., \n");
// i1 = ne[1] - n;
// }
// printf(" [");
// for (int64_t i0 = 0; i0 < ne[0]; i0++) {
// if (i0 == n && ne[0] > 2*n) {
// printf("..., ");
// i0 = ne[0] - n;
// }
// size_t i = i0;//i3 * nb[3] + i2 * nb[2] + i1 * nb[1] + i0 * nb[0];
// float v;
// if (type == GGML_TYPE_F16) {
// v = ggml_fp16_to_fp32(*(ggml_fp16_t *) data + i);
// } else if (type == GGML_TYPE_F32) {
// v = *(float *) data + i;
// } else if (type == GGML_TYPE_I32) {
// v = (float) *((int32_t *) data + i);
// } else if (type == GGML_TYPE_I16) {
// v = (float) *(int16_t *) data + i;
// } else if (type == GGML_TYPE_I8) {
// v = (float) *(int8_t *) data + i;
// } else {
// GGML_ASSERT(false);
// }
// printf("%12.4f", v);
// sum += v;
// if (i0 < ne[0] - 1) printf(", ");
// }
// printf("],\n");
// }
// printf(" ],\n");
// }
// printf(" ]\n");
// printf(" sum = %f\n", sum);
// }
}
float Sum(float *arr, int64_t N){
float s = 0.0;
for (int i = 0; i < N; i++){
s += arr[i];
}
return s;
}
float PrintArr(const char * name, float * arr, int64_t N){
float sum = 0.0;
if (arr != NULL){
sum = Sum(arr, N);
printf("%s %d %10f \n",name, N, sum);
} else {
printf("%s %d %10f \n",name, 0, 0.0);
}
return sum;
}
size_t get_nth_element(const int64_t *ne, const size_t *nb, int64_t nth) {
size_t offset = 0;
size_t divisor = 1;
for (int i = 3; i >= 0; --i) {
size_t index = size_t(floor(nth / divisor)) % ne[i];
offset += index * nb[i]/4;
divisor *= ne[i];
}
return offset;
}
void print_tensor(const ggml_tensor * src0) {
float sum = 0;
const int64_t * ne = src0->ne;
int64_t n = 3;
ggml_type type = src0->type;
void * data = src0->data;
char *buf = static_cast<char *>(malloc(sizeof(char)*ne[0]*8));
char *buf2 = buf;
for (int64_t i = 0; i < 1; i++) {
if (i == n) {
buf2 += sprintf(buf2, "..., ");
}
// int64_t offset = get_nth_element(src0->ne, src0->nb, i);
// offset *= ggml_element_size(src0);
int64_t offset = i;
float v;
if (type == GGML_TYPE_F16) {
v = ggml_fp16_to_fp32(*(ggml_fp16_t *) data + offset);
} else if (type == GGML_TYPE_F32) {
v = *((float *) data + offset);
} else if (type == GGML_TYPE_I32) {
v = (float) *((int32_t *) data + offset);
} else if (type == GGML_TYPE_I16) {
v = (float) *(int16_t *) data + offset;
} else if (type == GGML_TYPE_I8) {
v = (float) *(int8_t *) data + offset;
} else {
GGML_ASSERT(false);
}
if (i < n) {
buf2 += sprintf(buf2, "%12.4f", v);
}
sum += v;
}
int i = 0;
while (i < ggml_nbytes(src0)/4){
float val = (((float *) src0->data)[i]);
float diff = abs(val - 0.0022226818837225437164306640625);
if (diff < 0.000001 ){
printf("found %s: %d = %f\n", src0->name, i, val);
}
i += 1;
}
int max_name_length = 15;
int max_dim_length = 15;
int max_str_length = 15;
printf("%-*.15s [0]=%.15g dim={%-*.15s} str={%-*.15s} [addr]=%lu\n",
max_name_length, src0->name,
sum,
max_dim_length, ggml_ne_string(src0).c_str(),
max_str_length, ggml_nb_string(src0).c_str(),
src0->data);
// printf("%s\n", buf);
}
/**
@ -98,15 +233,46 @@ static bool ggml_debug(struct ggml_tensor * t, bool ask, void * user_data) {
}
char src1_str[128] = {0};
if (src1) {
sprintf(src1_str, "%s{%s}", src1->name, ggml_ne_string(src1).c_str());
}
// if (src1) {
// sprintf(src1_str, "%s{%s}\n", src1->name, ggml_ne_string(src1).c_str());
// }
printf("%s: %24s = (%s) %10s(%s{%s}, %s}) = {%s}\n", __func__,
t->name, ggml_type_name(t->type), ggml_op_desc(t),
src0->name, ggml_ne_string(src0).c_str(),
src1 ? src1_str : "",
ggml_ne_string(t).c_str());
if (src0) {
print_tensor(src0);
// printf("%s{%s} n=%d %f\n", src0->name, ggml_ne_string(src0).c_str(),src0->ne[0], Sum(static_cast<float *>(src0->data), src0->ne[0]));
// printf("%s{%s}", src0->name, ggml_ne_string(src0).c_str());
// enum ggml_type type = src0->name == "inp_tokens" ? GGML_TYPE_I32:src0->type;
// ggml_print_tensor(static_cast<uint8_t *>(src0->data), src0->type, src0->ne, src0->nb, 3);
// PrintArr(src0->name, static_cast<float *>(src0->data), src0->ne[0]);
}
if (src1) {
print_tensor(src1);
// printf("%s{%s} n=%d %f\n", src1->name, ggml_ne_string(src1).c_str(),src0->ne[0], Sum(static_cast<float *>(src1->data), src1->ne[0]));
// enum ggml_type type = src1->name == "inp_tokens" ? GGML_TYPE_I32:src1->type;
// ggml_print_tensor(static_cast<uint8_t *>(src1->data), type, src1->ne, src1->nb, 3);
// ggml_print_tensor(static_cast<uint8_t *>(src1->data), src1->type, src1->ne, src1->nb, 3);
// PrintArr(src1->name, static_cast<float *>(src1->data), src1->ne[0]);
}
printf("%s ==\n", ggml_op_desc(t));
if (t) {
print_tensor(t);
// printf("%s{%s} n=%d %f\n", t->name, ggml_ne_string(t).c_str(),src0->ne[0], Sum(static_cast<float *>(t->data), t->ne[0]));
// printf("%s{%s}", t->name, ggml_ne_string(t).c_str());
// PrintArr(t->name, static_cast<float *>(t->data), t->ne[0]);
// ggml_print_tensor(static_cast<uint8_t *>(t->data), t->type, t->ne, t->nb, 3);
// printf("\n == \n");
}
printf("\n\n");
// printf("%24s = (%s) %10s(%s{%s}, %s}) = {%s}\n",
//
//
// t->name, ggml_op_desc(t), src0->name, ggml_ne_string(src0).c_str(),
// src1 ? src1_str : "",
// ggml_ne_string(t).c_str());
// copy the data from the GPU memory if needed
@ -120,7 +286,7 @@ static bool ggml_debug(struct ggml_tensor * t, bool ask, void * user_data) {
if (!ggml_is_quantized(t->type)) {
uint8_t * data = is_host ? (uint8_t *) t->data : cb_data->data.data();
ggml_print_tensor(data, t->type, t->ne, t->nb, 3);
// ggml_print_tensor(data, t->type, t->ne, t->nb, 3);
}
return true;

View file

@ -1,5 +1,5 @@
set(TARGET baby-llama)
add_executable(${TARGET} baby-llama.cpp)
set(TARGET split-test)
add_executable(${TARGET} split-test.cpp)
install(TARGETS ${TARGET} RUNTIME)
target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
target_compile_features(${TARGET} PRIVATE cxx_std_11)