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| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2019-06-26 17:18:11 +0100 |
|---|---|---|
| committer | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2019-06-28 13:51:34 +0000 |
| commit | 7026b303d636e7639f8877ae8d5eff54f39c1121 (patch) | |
| tree | d30d5969706dc688d84e276132c02cdd4c046e09 /tests/validation/CL/GEMMMatrixMultiplyNative.cpp | |
| parent | 49f83497526816932e76e9e5f90a1799d50f15ba (diff) | |
| download | ComputeLibrary-7026b303d636e7639f8877ae8d5eff54f39c1121.tar.gz | |
COMPMID-1979: Fuse Activation Function in CLGEMM - part 1
Implementing a new struct to contains the information for the
OpenCL GEMM kernels
Change-Id: I6c641c312f9c3b025a7c69dd0df3b730d2d2c2cb
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1434
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Diffstat (limited to 'tests/validation/CL/GEMMMatrixMultiplyNative.cpp')
| -rw-r--r-- | tests/validation/CL/GEMMMatrixMultiplyNative.cpp | 12 |
1 files changed, 9 insertions, 3 deletions
diff --git a/tests/validation/CL/GEMMMatrixMultiplyNative.cpp b/tests/validation/CL/GEMMMatrixMultiplyNative.cpp index b0d1fd2ad1..031b807ef8 100644 --- a/tests/validation/CL/GEMMMatrixMultiplyNative.cpp +++ b/tests/validation/CL/GEMMMatrixMultiplyNative.cpp @@ -22,6 +22,7 @@ * SOFTWARE. */ #include "arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.h" +#include "arm_compute/core/KernelDescriptors.h" #include "arm_compute/core/Types.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/runtime/CL/CLTensor.h" @@ -128,7 +129,11 @@ void validate_configuration(unsigned int m_value, unsigned int n_value, unsigned rhs_info.n0 = n0_value; rhs_info.k0 = k0_value; - GEMMReshapeInfo gemm_info(M, N, K, false, false, 0, false, broadcast_bias); + GEMMKernelInfo kernel_info; + kernel_info.m = M; + kernel_info.n = N; + kernel_info.k = K; + kernel_info.broadcast_bias = broadcast_bias; const TensorShape lhs_shape(K, M, b_value); const TensorShape rhs_shape(N, K, b_value); @@ -137,7 +142,8 @@ void validate_configuration(unsigned int m_value, unsigned int n_value, unsigned broadcast_bias? 1 : b_value); const TensorShape dst_shape = compute_mm_shape(TensorInfo(lhs_shape, 1, data_type), TensorInfo(rhs_shape, 1, data_type), - gemm_info); + kernel_info); + // Create tensors CLTensor lhs = create_tensor<CLTensor>(lhs_shape, data_type); CLTensor rhs = create_tensor<CLTensor>(rhs_shape, data_type); @@ -151,7 +157,7 @@ void validate_configuration(unsigned int m_value, unsigned int n_value, unsigned // Create and configure function CLGEMMMatrixMultiplyNative gemm; - gemm.configure(&lhs, &rhs, &bias, &dst, 1.0f, 1.0f, lhs_info, rhs_info, gemm_info); + gemm.configure(&lhs, &rhs, &bias, &dst, 1.0f, 1.0f, lhs_info, rhs_info, kernel_info); } } // namespace |