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| author | Gunes Bayir <gunes.bayir@arm.com> | 2024-07-02 15:45:01 +0100 |
|---|---|---|
| committer | Gunes Bayir <gunes.bayir@arm.com> | 2024-07-02 16:00:11 +0000 |
| commit | a3f238a44d9f306c77be0177f13d22ae3f3bcc57 (patch) | |
| tree | 44bf40fb59fb8c4452d65d25e3a967c035bc6863 /src/core/NEON/kernels/arm_gemm/gemm_bf16bf16.cpp | |
| parent | f92b0fffa0d32dc08340c1abfa1a7f09c6e53795 (diff) | |
| download | ComputeLibrary-a3f238a44d9f306c77be0177f13d22ae3f3bcc57.tar.gz | |
Revert "Update CPU kernels and add mixed sign GEMM support"
This reverts commit fc94f4d23abd4bc427b701f54ad85282e9ec7872 and 5d6fff041ade7eb44af0945867212f3979be3d3e (because the latter fixes a build failure caused by the former)
Change-Id: I7d07fea8307e9a7033b30874bbb14ba9202b23d8
Signed-off-by: Gunes Bayir <gunes.bayir@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11815
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Adnan AlSinan <adnan.alsinan@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/arm_gemm/gemm_bf16bf16.cpp')
| -rw-r--r-- | src/core/NEON/kernels/arm_gemm/gemm_bf16bf16.cpp | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/src/core/NEON/kernels/arm_gemm/gemm_bf16bf16.cpp b/src/core/NEON/kernels/arm_gemm/gemm_bf16bf16.cpp index 1e4de4a39e..aa761b46e4 100644 --- a/src/core/NEON/kernels/arm_gemm/gemm_bf16bf16.cpp +++ b/src/core/NEON/kernels/arm_gemm/gemm_bf16bf16.cpp @@ -32,12 +32,12 @@ namespace arm_gemm { -static const GemmImplementation<bfloat16, bfloat16, bfloat16> gemm_bf16bf16_methods[] = +static const GemmImplementation<bfloat16, bfloat16> gemm_bf16bf16_methods[] = { #ifdef __aarch64__ #ifdef ARM_COMPUTE_ENABLE_BF16 #ifdef ARM_COMPUTE_ENABLE_FIXED_FORMAT_KERNELS -GemmImplementation<bfloat16, bfloat16, bfloat16>::with_estimate( +GemmImplementation<bfloat16, bfloat16>::with_estimate( GemmMethod::GEMM_INTERLEAVED, "a64_ffinterleaved_bf16fp32_mmla_8x12", KernelWeightFormat::VL256_BL64, @@ -45,7 +45,7 @@ GemmImplementation<bfloat16, bfloat16, bfloat16>::with_estimate( [](const GemmArgs &args) { return GemmInterleavedFixedFormat<cls_a64_ffinterleaved_bf16fp32_mmla_8x12, bfloat16, bfloat16>::estimate_cycles<bfloat16>(args); }, [](const GemmArgs &args) { return new GemmInterleavedFixedFormat<cls_a64_ffinterleaved_bf16fp32_mmla_8x12, bfloat16, bfloat16>(args); } ), -GemmImplementation<bfloat16, bfloat16, bfloat16>::with_estimate( +GemmImplementation<bfloat16, bfloat16>::with_estimate( GemmMethod::GEMM_INTERLEAVED, "sve_ffinterleaved_bf16fp32_mmla_8x3VL", KernelWeightFormat::VL2VL_BL64, @@ -66,14 +66,14 @@ GemmImplementation<bfloat16, bfloat16, bfloat16>::with_estimate( }; template<> -const GemmImplementation<bfloat16, bfloat16, bfloat16> *gemm_implementation_list<bfloat16, bfloat16, bfloat16>() { +const GemmImplementation<bfloat16, bfloat16> *gemm_implementation_list<bfloat16, bfloat16>() { return gemm_bf16bf16_methods; } /* Explicitly instantiate the external functions for these types. */ -template UniqueGemmCommon<bfloat16, bfloat16, bfloat16> gemm<bfloat16, bfloat16, bfloat16, Nothing>(const GemmArgs &args, const Nothing &); -template bool has_opt_gemm<bfloat16, bfloat16, bfloat16, Nothing>(WeightFormat &weight_format, const GemmArgs &args, const Nothing &); -template KernelDescription get_gemm_method<bfloat16, bfloat16, bfloat16, Nothing>(const GemmArgs &args, const Nothing &); -template std::vector<KernelDescription> get_compatible_kernels<bfloat16, bfloat16, bfloat16, Nothing>(const GemmArgs &args, const Nothing &); +template UniqueGemmCommon<bfloat16, bfloat16> gemm<bfloat16, bfloat16, Nothing>(const GemmArgs &args, const Nothing &); +template bool has_opt_gemm<bfloat16, bfloat16, Nothing>(WeightFormat &weight_format, const GemmArgs &args, const Nothing &); +template KernelDescription get_gemm_method<bfloat16, bfloat16, Nothing>(const GemmArgs &args, const Nothing &); +template std::vector<KernelDescription> get_compatible_kernels<bfloat16, bfloat16, Nothing>(const GemmArgs &args, const Nothing &); } // namespace arm_gemm |