vbatts/llama.cpp
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Merge branch 'concedo' of github.com:InconsolableCellist/llamacpp-for-kobold into concedo

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This commit is contained in:
InconsolableCellist 2023-03-28 13:43:19 -06:00
commit 13addf2a78
11 changed files with 29 additions and 35 deletions
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5
Makefile
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@ -235,7 +235,7 @@ extra.o: extra.cpp extra.h
$(CXX) $(CXXFLAGS) -c extra.cpp -o extra.o
clean:
rm -vf *.o main quantize perplexity
rm -vf *.o main quantize perplexity embedding
main: examples/main/main.cpp ggml.o llama.o common.o
$(CXX) $(CXXFLAGS) examples/main/main.cpp ggml.o llama.o common.o -o main $(LDFLAGS)
@ -252,6 +252,9 @@ quantize: examples/quantize/quantize.cpp ggml.o llama.o
perplexity: examples/perplexity/perplexity.cpp ggml.o llama.o common.o
$(CXX) $(CXXFLAGS) examples/perplexity/perplexity.cpp ggml.o llama.o common.o -o perplexity $(LDFLAGS)
embedding: examples/embedding/embedding.cpp ggml.o llama.o common.o
$(CXX) $(CXXFLAGS) examples/embedding/embedding.cpp ggml.o llama.o common.o -o embedding $(LDFLAGS)
#
# Tests
#

2
examples/embedding/CMakeLists.txt
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@ -1,4 +1,4 @@
set(TARGET embedding)
add_executable(${TARGET} embedding.cpp)
target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
target_link_libraries(${TARGET} PRIVATE common llama ggml ${CMAKE_THREAD_LIBS_INIT})
target_compile_features(${TARGET} PRIVATE cxx_std_11)

2
examples/main/CMakeLists.txt
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@ -1,4 +1,4 @@
set(TARGET main)
add_executable(${TARGET} main.cpp)
target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
target_link_libraries(${TARGET} PRIVATE common llama ggml ${CMAKE_THREAD_LIBS_INIT})
target_compile_features(${TARGET} PRIVATE cxx_std_11)

2
examples/main/main.cpp
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@ -493,7 +493,7 @@ int main(int argc, char ** argv) {
}
// In interactive mode, respect the maximum number of tokens and drop back to user input when reached.
if (params.interactive && n_remain <= 0) {
if (params.interactive && n_remain <= 0 && params.n_predict != -1) {
n_remain = params.n_predict;
is_interacting = true;
}

2
examples/perplexity/CMakeLists.txt
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@ -1,4 +1,4 @@
set(TARGET perplexity)
add_executable(${TARGET} perplexity.cpp)
target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
target_link_libraries(${TARGET} PRIVATE common llama ggml ${CMAKE_THREAD_LIBS_INIT})
target_compile_features(${TARGET} PRIVATE cxx_std_11)

2
examples/perplexity/perplexity.cpp
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@ -19,7 +19,7 @@ std::vector<double> softmax(const std::vector<float>& logits) {
void perplexity(llama_context * ctx, const gpt_params & params) {
// Download: https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-2-raw-v1.zip?ref=salesforce-research
// Run `./main --perplexity -m models/7B/ggml-model-q4_0.bin -f wiki.test.raw`
// Run `./perplexity -m models/7B/ggml-model-q4_0.bin -f wiki.test.raw`
// Output: `perplexity: 13.5106 [114/114]`
auto tokens = ::llama_tokenize(ctx, params.prompt, true);

2
examples/quantize/CMakeLists.txt
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@ -1,4 +1,4 @@
set(TARGET quantize)
add_executable(${TARGET} quantize.cpp)
target_link_libraries(${TARGET} PRIVATE llama ${CMAKE_THREAD_LIBS_INIT})
target_link_libraries(${TARGET} PRIVATE llama ggml ${CMAKE_THREAD_LIBS_INIT})
target_compile_features(${TARGET} PRIVATE cxx_std_11)

47
ggml.c
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@ -1698,8 +1698,6 @@ inline static void ggml_vec_dot_q4_0(const int n, float * restrict s, const void
// Horizontal sum of all lanes of the accumulator
sumf = _mm512_reduce_add_ps( acc0 ) + _mm512_reduce_add_ps( acc1 );
#elif defined(__AVX2__)
const size_t countBlocks = nb;
// Initialize accumulator with zeros
__m256 acc = _mm256_setzero_ps();
@ -5806,23 +5804,28 @@ static void ggml_compute_forward_mul_mat_f32(
const int ne02 = src0->ne[2];
const int ne03 = src0->ne[3];
#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
const int ne10 = src1->ne[0];
#endif
const int ne11 = src1->ne[1];
//const int ne12 = src1->ne[2];
//const int ne13 = src1->ne[3];
#ifndef NDEBUG
const int ne12 = src1->ne[2];
const int ne13 = src1->ne[3];
//const int ne0 = dst->ne[0];
//const int ne1 = dst->ne[1];
//const int ne2 = dst->ne[2];
//const int ne3 = dst->ne[3];
//const int ne = ne0*ne1*ne2*ne3;
const int ne0 = dst->ne[0];
const int ne1 = dst->ne[1];
const int ne2 = dst->ne[2];
const int ne3 = dst->ne[3];
//const int nb00 = src0->nb[0];
const int nb00 = src0->nb[0];
#endif
const int nb01 = src0->nb[1];
const int nb02 = src0->nb[2];
const int nb03 = src0->nb[3];
#ifndef NDEBUG
const int nb10 = src1->nb[0];
#endif
const int nb11 = src1->nb[1];
const int nb12 = src1->nb[2];
const int nb13 = src1->nb[3];
@ -5840,8 +5843,9 @@ static void ggml_compute_forward_mul_mat_f32(
assert(ne2 == ne12);
assert(ne3 == ne13);
// TODO: we don't support permuted src0
// we don't support permuted src0 or src1
assert(nb00 == sizeof(float));
assert(nb10 == sizeof(float));
// dst cannot be transposed or permuted
assert(nb0 == sizeof(float));
@ -5859,8 +5863,6 @@ static void ggml_compute_forward_mul_mat_f32(
#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
if (ggml_compute_forward_mul_mat_use_blas(src0, src1, dst)) {
GGML_ASSERT(nb10 == sizeof(float));
if (params->ith != 0) {
return;
}
@ -5903,9 +5905,6 @@ static void ggml_compute_forward_mul_mat_f32(
return;
}
// TODO: do not support transposed src1
assert(nb10 == sizeof(float));
// parallelize by src0 rows using ggml_vec_dot_f32
// total rows in src0
@ -6169,7 +6168,6 @@ static void ggml_compute_forward_mul_mat_q4_0_f32(
const int ne1 = dst->ne[1];
const int ne2 = dst->ne[2];
const int ne3 = dst->ne[3];
//const int ne = ne0*ne1*ne2*ne3;
const int nb00 = src0->nb[0];
const int nb01 = src0->nb[1];
@ -6194,8 +6192,9 @@ static void ggml_compute_forward_mul_mat_q4_0_f32(
GGML_ASSERT(ne2 == ne12);
GGML_ASSERT(ne3 == ne13);
// TODO: we don't support permuted src0
// we don't support permuted src0 or src1
GGML_ASSERT(nb00 == (int) GGML_TYPE_SIZE[GGML_TYPE_Q4_0]);
GGML_ASSERT(nb10 == sizeof(float));
// dst cannot be transposed or permuted
GGML_ASSERT(nb0 == sizeof(float));
@ -6213,8 +6212,6 @@ static void ggml_compute_forward_mul_mat_q4_0_f32(
#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
if (ggml_compute_forward_mul_mat_use_blas(src0, src1, dst)) {
GGML_ASSERT(nb10 == sizeof(float));
if (params->ith != 0) {
return;
}
@ -6278,8 +6275,6 @@ static void ggml_compute_forward_mul_mat_q4_0_f32(
return;
}
// TODO: do not support transposed src1
// parallelize by src0 rows using ggml_vec_dot_q4_0
// total rows in src0
@ -6354,7 +6349,6 @@ static void ggml_compute_forward_mul_mat_q4_1_f32(
const int ne1 = dst->ne[1];
const int ne2 = dst->ne[2];
const int ne3 = dst->ne[3];
//const int ne = ne0*ne1*ne2*ne3;
const int nb00 = src0->nb[0];
const int nb01 = src0->nb[1];
@ -6379,8 +6373,9 @@ static void ggml_compute_forward_mul_mat_q4_1_f32(
GGML_ASSERT(ne2 == ne12);
GGML_ASSERT(ne3 == ne13);
// TODO: we don't support permuted src0
// we don't support permuted src0 or src1
GGML_ASSERT(nb00 == (int) GGML_TYPE_SIZE[GGML_TYPE_Q4_1]);
GGML_ASSERT(nb10 == sizeof(float));
// dst cannot be transposed or permuted
GGML_ASSERT(nb0 == sizeof(float));
@ -6398,8 +6393,6 @@ static void ggml_compute_forward_mul_mat_q4_1_f32(
#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
if (ggml_compute_forward_mul_mat_use_blas(src0, src1, dst)) {
GGML_ASSERT(nb10 == sizeof(float));
if (params->ith != 0) {
return;
}
@ -6466,8 +6459,6 @@ static void ggml_compute_forward_mul_mat_q4_1_f32(
return;
}
// TODO: do not support transposed src1
// parallelize by src0 rows using ggml_vec_dot_q4_1
// total rows in src0

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llamacpp.dll
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main.exe
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quantize.exe
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