diff options
Diffstat (limited to 'tests/validation/CL')
-rw-r--r-- | tests/validation/CL/GEMMMatrixMultiplyNative.cpp | 12 | ||||
-rw-r--r-- | tests/validation/CL/GEMMMatrixMultiplyReshaped.cpp | 13 | ||||
-rw-r--r-- | tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp | 13 |
3 files changed, 29 insertions, 9 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 diff --git a/tests/validation/CL/GEMMMatrixMultiplyReshaped.cpp b/tests/validation/CL/GEMMMatrixMultiplyReshaped.cpp index 69e58303f3..bd70ddbe8c 100644 --- a/tests/validation/CL/GEMMMatrixMultiplyReshaped.cpp +++ b/tests/validation/CL/GEMMMatrixMultiplyReshaped.cpp @@ -24,6 +24,7 @@ #include "arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h" #include "arm_compute/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.h" #include "arm_compute/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.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" @@ -157,7 +158,13 @@ void validate_configuration(unsigned int m_value, unsigned int n_value, unsigned rhs_info.interleave = i_value_rhs; rhs_info.transpose = true; - 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.depth_output_gemm3d = 0; + kernel_info.reinterpret_input_as_3d = false; + kernel_info.broadcast_bias = broadcast_bias; const TensorShape lhs_shape(K, M, b_value); const TensorShape lhs_shape_reshaped = compute_lhs_reshaped_shape(TensorInfo(lhs_shape, 1, data_type), @@ -170,7 +177,7 @@ void validate_configuration(unsigned int m_value, unsigned int n_value, unsigned const TensorShape dst_shape = compute_mm_shape(TensorInfo(lhs_shape_reshaped, 1, data_type), TensorInfo(rhs_shape_reshaped, 1, data_type), - gemm_info); + kernel_info); const TensorShape bias_shape(N, broadcast_bias? 1 : M, @@ -189,7 +196,7 @@ void validate_configuration(unsigned int m_value, unsigned int n_value, unsigned // Create and configure function CLGEMMMatrixMultiplyReshaped gemm; - gemm.configure(&lhs_reshaped, &rhs_reshaped, &bias, &dst, 1.0f, 1.0f, lhs_info, rhs_info, gemm_info); + gemm.configure(&lhs_reshaped, &rhs_reshaped, &bias, &dst, 1.0f, 1.0f, lhs_info, rhs_info, kernel_info); } } // namespace diff --git a/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp b/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp index 133170e2d3..6c34fc870a 100644 --- a/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp +++ b/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp @@ -23,6 +23,7 @@ */ #include "arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h" #include "arm_compute/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.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" @@ -144,7 +145,13 @@ void validate_configuration(unsigned int m_value, unsigned int n_value, unsigned rhs_info.interleave = i_value_rhs; rhs_info.transpose = t_value_rhs; - 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.depth_output_gemm3d = 0; + kernel_info.reinterpret_input_as_3d = false; + kernel_info.broadcast_bias = broadcast_bias; const TensorShape lhs_shape(K, M, b_value); const TensorShape rhs_shape(N, K, b_value); @@ -153,7 +160,7 @@ void validate_configuration(unsigned int m_value, unsigned int n_value, unsigned const TensorShape dst_shape = compute_mm_shape(TensorInfo(lhs_shape, 1, data_type), TensorInfo(rhs_shape_reshaped, 1, data_type), - gemm_info); + kernel_info); const TensorShape bias_shape(N, broadcast_bias? 1 : M, @@ -172,7 +179,7 @@ void validate_configuration(unsigned int m_value, unsigned int n_value, unsigned // Create and configure function CLGEMMMatrixMultiplyReshapedOnlyRHS gemm; - gemm.configure(&lhs, &rhs_reshaped, &bias, &dst, 1.0f, 1.0f, lhs_info, rhs_info, gemm_info); + gemm.configure(&lhs, &rhs_reshaped, &bias, &dst, 1.0f, 1.0f, lhs_info, rhs_info, kernel_info); } } // namespace |