metal : require ne00 >= 128 for mat-mat kernels
ggml-ci
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3 changed files with 10 additions and 3 deletions
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@ -1383,7 +1383,7 @@ static enum ggml_status ggml_metal_graph_compute(
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!ggml_is_transposed(src0) &&
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!ggml_is_transposed(src1) &&
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src1t == GGML_TYPE_F32 &&
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ne00 % 32 == 0 && ne00 >= 64 &&
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ne00 % 32 == 0 && ne00 >= 128 &&
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(ne11 > ne11_mm_min || (ggml_is_quantized(src0t) && ne12 > 1))) {
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//printf("matrix: ne00 = %6d, ne01 = %6d, ne02 = %6d, ne11 = %6d, ne12 = %6d\n", ne00, ne01, ne02, ne11, ne12);
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@ -1698,7 +1698,7 @@ static enum ggml_status ggml_metal_graph_compute(
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// indirect matrix multiplication
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// !!!
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if ([ctx->device supportsFamily:MTLGPUFamilyApple7] &&
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ne20 % 32 == 0 && ne20 >= 64 &&
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ne20 % 32 == 0 && ne20 >= 128 &&
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ne11 > ne11_mm_min) {
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id<MTLComputePipelineState> pipeline = nil;
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@ -2091,6 +2091,13 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op
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}
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}
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test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 64, 2, 128, { 8, 1}, {1, 1}));
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test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 83, 2, 128, { 8, 1}, {4, 1}));
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test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 64, 2, 64, { 8, 1}, {4, 1}));
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test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 83, 2, 64, { 8, 1}, {4, 1}));
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test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 64, 45, 128, { 8, 1}, {4, 1}));
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test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 128, 45, 64, { 8, 1}, {4, 1}));
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for (ggml_type type_a : all_types) {
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for (ggml_type type_b : {GGML_TYPE_F32 /*, GGML_TYPE_F16 */}) {
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for (int n_mats : {2, 4, 8}) {
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