imatrix : offload to GPU support (#4957)
* backend : add eval callback ggml-ci * backend : group nodes in a single compute when user don't need them * backend : clean-up the implementation ggml-ci * simple : do not perform tensor data copy if not needed * simple : fix * imatrix : offload to GPU support * imatrix : fix ggml_mul_mat_id hanlding ggml-ci * ci : add imatrix test ggml-ci * ci : rearrange output ggml-ci
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4 changed files with 129 additions and 54 deletions
14
ggml.c
14
ggml.c
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@ -394,12 +394,6 @@ static const size_t CACHE_LINE_SIZE_F32 = CACHE_LINE_SIZE/sizeof(float);
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static void ggml_vec_dot_f32(const int n, float * restrict s, const float * restrict x, const float * restrict y);
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static void ggml_vec_dot_f16(const int n, float * restrict s, ggml_fp16_t * restrict x, ggml_fp16_t * restrict y);
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ggml_collect_imatrix_t g_imatrix_collect = NULL;
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void ggml_set_imatrix_collection(ggml_collect_imatrix_t imatrix_collect) {
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g_imatrix_collect = imatrix_collect;
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}
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static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
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[GGML_TYPE_I8] = {
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.type_name = "i8",
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@ -9790,10 +9784,6 @@ static void ggml_compute_forward_mul_mat(
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const int ith = params->ith;
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const int nth = params->nth;
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if (ith == 1 && g_imatrix_collect) {
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g_imatrix_collect(src0, src1);
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}
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const enum ggml_type type = src0->type;
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const bool src1_cont = ggml_is_contiguous(src1);
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@ -10097,10 +10087,6 @@ static void ggml_compute_forward_mul_mat_id(
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const struct ggml_tensor * src0_cur = dst->src[cur_a + 2];
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if (ith == 1 && g_imatrix_collect) {
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g_imatrix_collect(src0_cur, src1);
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}
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const void * wdata = (src1->type == vec_dot_type) ? src1->data : params->wdata;
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const size_t row_size = ggml_row_size(vec_dot_type, ne10);
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