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https://github.com/ggml-org/llama.cpp.git
synced 2025-11-21 12:16:57 +00:00
kleidiai: fix zero-size array declaration (#17240)
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@@ -39,7 +39,7 @@
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#include "kernels.h"
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#define NELEMS(x) sizeof(x) / sizeof(*x)
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#define NELEMS(x) (sizeof(x) / sizeof(*x))
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template<size_t(*Fn)(size_t,size_t,size_t)>
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static inline size_t kernel_offs_fn3(size_t a, size_t b, size_t c) {
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@@ -635,6 +635,7 @@ static ggml_kleidiai_kernels gemm_gemv_kernels[] = {
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},
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#endif
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#endif
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{ /* Sentinel */ }
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};
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static ggml_kleidiai_kernels gemm_gemv_kernels_q8[] = {
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@@ -803,6 +804,7 @@ static ggml_kleidiai_kernels gemm_gemv_kernels_q8[] = {
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/* .op_type = */ GGML_TYPE_F32,
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},
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#endif
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{ /* Sentinel */ }
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};
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ggml_kleidiai_kernels * ggml_kleidiai_select_kernels(cpu_feature cpu_features, const ggml_tensor * tensor) {
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@@ -810,7 +812,7 @@ ggml_kleidiai_kernels * ggml_kleidiai_select_kernels(cpu_feature cpu_features, c
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if (tensor->op == GGML_OP_MUL_MAT && tensor->src[0] != nullptr && tensor->src[1] != nullptr) {
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#if defined(__ARM_FEATURE_SME) || defined(__ARM_FEATURE_DOTPROD) || defined(__ARM_FEATURE_MATMUL_INT8)
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for (size_t i = 0; i < NELEMS(gemm_gemv_kernels); ++i) {
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for (size_t i = 0; i < NELEMS(gemm_gemv_kernels) - 1; ++i) {
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if ((cpu_features & gemm_gemv_kernels[i].required_cpu) == gemm_gemv_kernels[i].required_cpu &&
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gemm_gemv_kernels[i].lhs_type == tensor->src[1]->type &&
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gemm_gemv_kernels[i].rhs_type == tensor->src[0]->type &&
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@@ -820,7 +822,7 @@ ggml_kleidiai_kernels * ggml_kleidiai_select_kernels(cpu_feature cpu_features, c
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}
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}
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if (!kernel) {
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for (size_t i = 0; i < NELEMS(gemm_gemv_kernels_q8); ++i) {
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for (size_t i = 0; i < NELEMS(gemm_gemv_kernels_q8) - 1; ++i) {
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if ((cpu_features & gemm_gemv_kernels_q8[i].required_cpu) == gemm_gemv_kernels_q8[i].required_cpu &&
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gemm_gemv_kernels_q8[i].lhs_type == tensor->src[1]->type &&
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gemm_gemv_kernels_q8[i].rhs_type == tensor->src[0]->type &&
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@@ -830,6 +832,10 @@ ggml_kleidiai_kernels * ggml_kleidiai_select_kernels(cpu_feature cpu_features, c
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}
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}
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}
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#else
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GGML_UNUSED(gemm_gemv_kernels);
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GGML_UNUSED(gemm_gemv_kernels_q8);
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GGML_UNUSED(cpu_features);
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#endif
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}
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@@ -840,12 +846,14 @@ ggml_kleidiai_kernels * ggml_kleidiai_select_kernels_q4_0(cpu_feature features)
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ggml_kleidiai_kernels * kernels = nullptr;
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#if defined(__ARM_FEATURE_SME) || defined(__ARM_FEATURE_DOTPROD) || defined(__ARM_FEATURE_MATMUL_INT8)
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for (size_t i = 0; i < NELEMS(gemm_gemv_kernels); ++i) {
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for (size_t i = 0; i < NELEMS(gemm_gemv_kernels) - 1; ++i) {
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if ((features & gemm_gemv_kernels[i].required_cpu) == gemm_gemv_kernels[i].required_cpu) {
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kernels = &gemm_gemv_kernels[i];
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break;
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}
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}
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#else
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GGML_UNUSED(features);
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#endif
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return kernels;
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@@ -855,12 +863,14 @@ ggml_kleidiai_kernels * ggml_kleidiai_select_kernels_q8_0(cpu_feature features)
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ggml_kleidiai_kernels * kernels = nullptr;
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#if defined(__ARM_FEATURE_SME) || defined(__ARM_FEATURE_DOTPROD) || defined(__ARM_FEATURE_MATMUL_INT8)
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for (size_t i = 0; i < NELEMS(gemm_gemv_kernels_q8); ++i) {
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for (size_t i = 0; i < NELEMS(gemm_gemv_kernels_q8) - 1; ++i) {
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if ((features & gemm_gemv_kernels_q8[i].required_cpu) == gemm_gemv_kernels_q8[i].required_cpu) {
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kernels = &gemm_gemv_kernels_q8[i];
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break;
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}
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}
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#else
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GGML_UNUSED(features);
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#endif
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return kernels;
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