600 lines
33 KiB
C++
600 lines
33 KiB
C++
/*
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* Copyright (c) 2019-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "arm_compute/core/KernelDescriptors.h"
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#include "arm_compute/core/Types.h"
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#include "arm_compute/core/utils/misc/ShapeCalculator.h"
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#include "arm_compute/runtime/CL/CLTensor.h"
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#include "arm_compute/runtime/CL/CLTensorAllocator.h"
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#include "src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h"
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#include "src/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.h"
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#include "tests/CL/CLAccessor.h"
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#include "tests/CL/Helper.h"
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#include "tests/PaddingCalculator.h"
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#include "tests/datasets/ShapeDatasets.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Macros.h"
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#include "tests/framework/datasets/Datasets.h"
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#include "tests/validation/Validation.h"
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#include "tests/validation/fixtures/GEMMFixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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using namespace arm_compute::misc::shape_calculator;
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// Create function for CLGEMMReshapeRHSMatrixKernel
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using CLGEMMReshapeRHSMatrix = CLSynthetizeFunction<CLGEMMReshapeRHSMatrixKernel>;
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// Create function for CLGEMMMatrixMultiplyReshapedOnlyRHSKernel
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using CLGEMMMatrixMultiplyReshapedOnlyRHS = CLSynthetizeFunction<CLGEMMMatrixMultiplyReshapedOnlyRHSKernel>;
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// Fixture for CLGEMMMatrixMultiplyReshapedOnlyRHS
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template <typename T>
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using CLGEMMMatrixMultiplyReshapedOnlyRHSFixture = GEMMMatrixMultiplyReshapedOnlyRHSValidationFixture<CLTensor, CLAccessor, T, CLGEMMReshapeRHSMatrix, CLGEMMMatrixMultiplyReshapedOnlyRHS>;
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// Fixture for CLGEMMMatrixMultiplyReshapedOnlyRHS3D
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template <typename T>
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using CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture = GEMMMatrixMultiplyReshapedOnlyRHS3DValidationFixture<CLTensor, CLAccessor, T, CLGEMMReshapeRHSMatrix, CLGEMMMatrixMultiplyReshapedOnlyRHS>;
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namespace
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{
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// *INDENT-OFF*
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// clang-format off
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RelativeTolerance<float> rel_tolerance_f32(0.001f);
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constexpr float abs_tolerance_f32(0.0001f);
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RelativeTolerance<float> rel_tolerance_f16(0.001f);
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constexpr float abs_tolerance_f16(0.01f);
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/** Alpha values to test */
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const auto a_values = framework::dataset::make("alpha", {-0.75f} );
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/** Beta values to test */
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const auto beta_values = framework::dataset::make("beta", {-0.35f} );
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/** M values to test */
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const auto m_values = framework::dataset::make("M", 37);
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/** M_W values to test */
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const auto m_w_values = framework::dataset::make("M_W", 5);
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/** M_H values to test */
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const auto m_h_values = framework::dataset::make("M_H", 7);
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/** N values to test */
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const auto n_values = framework::dataset::make("N", 51);
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/** K values to test */
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const auto k_values = framework::dataset::make("K", 23);
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/** Batch size values to test */
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const auto b_values = framework::dataset::make("batch_size", 2);
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/** Activation values to test */
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const auto act_values = framework::dataset::make("Activation",
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{
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, -0.8f, 10.f),
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});
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/** M0 values to test - precommit */
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const auto m0_values_precommit = framework::dataset::make("M0", { 4 });
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/** N0 values to test - precommit*/
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const auto n0_values_precommit = framework::dataset::make("N0", { 4 });
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/** K0 values to test - precommit*/
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const auto k0_values_precommit = framework::dataset::make("K0", { 4 });
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/** M0 values to test - nightly */
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const auto m0_values_nightly = framework::dataset::make("M0", { 8 });
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/** N0 values to test - nightly */
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const auto n0_values_nightly = framework::dataset::make("N0", { 16 });
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/** K0 values to test - nightly */
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const auto k0_values_nightly = framework::dataset::make("K0", { 16 });
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/** H0 values to test */
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const auto h0_values = framework::dataset::make("H0", 1, 3);
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/** Interleave values to test with RHS matrix */
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const auto i_values_rhs = framework::dataset::make("interleave_rhs", { true, false });
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/** Transpose values to test with RHS matrix */
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const auto t_values_rhs = framework::dataset::make("transpose_rhs", { true, false });
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/** Broadcast bias from vector to matrix */
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const auto broadcast_bias_values = framework::dataset::make("broadcast_bias", { false, true } );
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/** Boundary handling cases for testing partial/non-partial (full) block dimensions, resulting from different combinations
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* of M, M0, N and N0 values.
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* M0 and N0 are kept constant, while the different test cases need to vary M and N.
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*
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* Eg. M = 64 and N = 33 result in a block dimension that has no partial blocks (all full blocks) in Y dimension and
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* parital blocks in X dimension.
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*/
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const auto boundary_handling_cases = combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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// Large k to force potential out-of-bound reads on input0
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framework::dataset::make("K", 315),
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// Batch size == 1 to force potential out-of-bound reads on input0
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framework::dataset::make("batch_size", 1)),
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framework::dataset::make("M0", 4)),
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framework::dataset::make("N0", 4)),
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framework::dataset::make("K0", 4)),
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framework::dataset::make("H0", 3)),
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i_values_rhs),
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t_values_rhs),
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framework::dataset::make("export_to_cl_image_rhs", {true, false})),
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// Only need to test F32 as F16 shares identical boundary handling logics
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framework::dataset::make("DataType", DataType::F32)),
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framework::dataset::make("alpha", -0.75f )),
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framework::dataset::make("beta", -0.35f )),
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broadcast_bias_values),
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framework::dataset::make("Activation", ActivationLayerInfo()));
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/** Configuration test */
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bool validate_configuration(unsigned int m_value, unsigned int n_value, unsigned int k_value, unsigned int b_value,
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unsigned int m0_value, unsigned int n0_value, unsigned int k0_value, unsigned int h0_value,
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bool i_value_rhs, bool t_value_rhs, bool export_to_cl_image, bool broadcast_bias, bool input_as_3d, unsigned int depth_output_gemm3d, const ActivationLayerInfo &act_info,
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DataType dt_input0, DataType dt_input1, DataType dt_input2, DataType dt_output, float alpha, float beta)
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{
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const unsigned int M = m_value;
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const unsigned int N = n_value;
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const unsigned int K = k_value;
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GEMMLHSMatrixInfo lhs_info;
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lhs_info.m0 = m0_value;
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lhs_info.k0 = k0_value;
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GEMMRHSMatrixInfo rhs_info;
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rhs_info.n0 = n0_value;
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rhs_info.k0 = k0_value;
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rhs_info.h0 = h0_value;
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rhs_info.interleave = i_value_rhs;
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rhs_info.transpose = t_value_rhs;
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rhs_info.export_to_cl_image = export_to_cl_image;
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GEMMKernelInfo kernel_info;
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kernel_info.m = M;
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kernel_info.n = N;
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kernel_info.k = K;
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kernel_info.depth_output_gemm3d = depth_output_gemm3d;
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kernel_info.reinterpret_input_as_3d = input_as_3d;
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kernel_info.broadcast_bias = broadcast_bias;
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kernel_info.activation_info = act_info;
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const TensorShape lhs_shape(K, M, b_value);
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const TensorShape rhs_shape(N, K, b_value);
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const TensorShape rhs_shape_reshaped = compute_rhs_reshaped_shape(TensorInfo(rhs_shape, 1, dt_input1),
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rhs_info);
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const TensorShape dst_shape = compute_mm_shape(TensorInfo(lhs_shape, 1, dt_input0),
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TensorInfo(rhs_shape_reshaped, 1, dt_input1),
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kernel_info);
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const TensorShape bias_shape(N,
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M, // Correct calculation should be: broadcast_bias? 1 : M, it's wrong here on purpose just for validation test
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broadcast_bias? 1 : b_value);
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// Create tensor info
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TensorInfo lhs = TensorInfo(lhs_shape, 1, dt_input0);
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TensorInfo rhs_reshaped = TensorInfo(rhs_shape_reshaped, 1, dt_input1);
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TensorInfo bias = TensorInfo(bias_shape, 1, dt_input2);
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TensorInfo dst = TensorInfo(dst_shape, 1, dt_output);
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// Create and configure function
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CLGEMMMatrixMultiplyReshapedOnlyRHS gemm;
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return bool(gemm.validate(&lhs, &rhs_reshaped, &bias, &dst, alpha, beta, lhs_info, rhs_info, kernel_info));
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}
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} // namespace
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TEST_SUITE(CL)
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TEST_SUITE(GEMMMatrixMultiplyReshapedOnlyRHS)
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/** Validate tests
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*
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* A series of validation tests on configurations which according to the API specification
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* the function should fail against.
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*
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* Checks performed in order:
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* - Mismachting data type: input1, input2 and output need to have same data type as input0. Support data type: F32/F16.
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* - Unsupported M0: MO can only be 1,2,3,4,5,6,7,8
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* - Unsupported N0: NO can only be 2,3,4,8,16
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* - Unsupported K0: KO can only be 2,3,4,8,16
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* - Unsupported bias addition: bias broadcast mode is 0 if the input or output has to be reinterpreted as 3D
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* - Incorrect bias diemension when bias broadcast mode is 1 and beta is not 0.0f, should be (n, 1), not (n, m)
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* - Incorrect input0 dimension when input is reinterpreted as 3D: input0->dimension(1) * input0->dimension(2) != m
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* - Correct support for creating an OpenCL image object from buffer
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* - Incorrect support for creating an OpenCL image object from buffer. N0 is 2 but it can only be 4,8 and 16
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* - Correct F16 support for creating an OpenCL image object from buffer.
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*/
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DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(
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framework::dataset::make("batch_size", { 1, 1, 1, 1, 1, 1, 2, 1, 1, 1 }),
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framework::dataset::make("M0", { 4, 9, 4, 4, 4, 4, 4, 4, 4, 4 })),
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framework::dataset::make("N0", { 4, 4, 18, 4, 4, 4, 4, 8, 2, 8 })),
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framework::dataset::make("K0", { 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 })),
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framework::dataset::make("broadcast_bias", { false, false, false, false, false, true, true, false, false, false })),
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framework::dataset::make("input_as_3d", { 0, 0, 0, 0, 1, 0, 1, 0, 0, 0 })),
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framework::dataset::make("depth_output_gemm3d", { 0, 0, 0, 0, 0, 1, 0, 0, 0, 0 })),
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framework::dataset::make("export_to_cl_image", { false, false, false, false, false, false, false, true, true, true })),
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framework::dataset::make("data_type_input0", { DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F16})),
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framework::dataset::make("data_type_input1", { DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F16})),
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framework::dataset::make("data_type_input2", { DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F16})),
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framework::dataset::make("data_type_output", { DataType::F16, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F16})),
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framework::dataset::make("Beta", { 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 1.0f, 0.0f , 1.0f})),
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framework::dataset::make("Expected", { false, false, false, false, false, false, false, true, false, true })),
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b_value, m0_value, n0_value, k0_value, broadcast_bias, input_as_3d, depth_output_gemm3d, export_to_cl_image, dt_input0, dt_intpu1, dt_input2, dt_output, beta, expected)
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{
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bool expected_value = expected;
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// Change expected to false if the target platform does not support the OpenCL cl_khr_image2d_from_buffer extension
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if(!image2d_from_buffer_supported(CLKernelLibrary::get().get_device()) && export_to_cl_image)
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{
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expected_value = false;
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}
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bool status = validate_configuration(37, 51, 23, b_value, m0_value, n0_value, k0_value, 1, false, false, export_to_cl_image, broadcast_bias, input_as_3d, depth_output_gemm3d, ActivationLayerInfo(), dt_input0, dt_intpu1, dt_input2, dt_output, 1.0f, beta);
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ARM_COMPUTE_EXPECT(status == expected_value, framework::LogLevel::ERRORS);
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}
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TEST_SUITE(Float)
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TEST_SUITE(FP32)
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FIXTURE_DATA_TEST_CASE(RunPrecommitBoundaryHandlingPartialInXPartialInY, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<float>, framework::DatasetMode::PRECOMMIT,
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combine(combine(
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framework::dataset::make("M", 3),
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framework::dataset::make("N", 1)),
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boundary_handling_cases))
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{
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// Validate output
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if(validate_result)
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{
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validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
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}
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else
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{
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ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
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framework::ARM_COMPUTE_PRINT_INFO();
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}
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}
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FIXTURE_DATA_TEST_CASE(RunPrecommitBoundaryHandlingPartialInXFullInY, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<float>, framework::DatasetMode::PRECOMMIT,
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combine(combine(
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framework::dataset::make("M", 64),
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framework::dataset::make("N", 43)),
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boundary_handling_cases))
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{
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// Validate output
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if(validate_result)
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{
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validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
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}
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else
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{
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ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
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framework::ARM_COMPUTE_PRINT_INFO();
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}
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}
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FIXTURE_DATA_TEST_CASE(RunPrecommitBoundaryHandlingFullInXFullInY, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<float>, framework::DatasetMode::PRECOMMIT,
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combine(combine(
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framework::dataset::make("M", 64),
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framework::dataset::make("N", 32)),
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boundary_handling_cases))
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{
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// Validate output
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if(validate_result)
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{
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validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
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}
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else
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{
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ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
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framework::ARM_COMPUTE_PRINT_INFO();
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}
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}
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FIXTURE_DATA_TEST_CASE(RunPrecommitBoundaryHandlingFullInXPartialInY, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<float>, framework::DatasetMode::PRECOMMIT,
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combine(combine(
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framework::dataset::make("M", 37),
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framework::dataset::make("N", 32)),
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boundary_handling_cases))
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{
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// Validate output
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if(validate_result)
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{
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validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
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}
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else
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{
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ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
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framework::ARM_COMPUTE_PRINT_INFO();
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}
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}
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FIXTURE_DATA_TEST_CASE(RunPrecommit, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<float>, framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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m_values,
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n_values),
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k_values),
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b_values),
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m0_values_precommit),
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n0_values_precommit),
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k0_values_precommit),
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h0_values),
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i_values_rhs),
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t_values_rhs),
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framework::dataset::make("export_to_cl_image_rhs", {false, true})),
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framework::dataset::make("DataType", DataType::F32)),
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a_values),
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beta_values),
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broadcast_bias_values),
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act_values))
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{
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// Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension
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if(validate_result)
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{
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validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
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}
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else
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{
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ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
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framework::ARM_COMPUTE_PRINT_INFO();
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}
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}
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FIXTURE_DATA_TEST_CASE(RunNightly, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<float>, framework::DatasetMode::NIGHTLY,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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m_values,
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n_values),
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k_values),
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b_values),
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m0_values_nightly),
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n0_values_nightly),
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k0_values_nightly),
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h0_values),
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i_values_rhs),
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t_values_rhs),
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framework::dataset::make("export_to_cl_image_rhs", {false, true})),
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framework::dataset::make("DataType", DataType::F32)),
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a_values),
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beta_values),
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broadcast_bias_values),
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act_values))
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{
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// Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension
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if(validate_result)
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{
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validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
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}
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else
|
|
{
|
|
ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
|
|
framework::ARM_COMPUTE_PRINT_INFO();
|
|
}
|
|
}
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<float>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
|
|
m_w_values,
|
|
m_h_values),
|
|
n_values),
|
|
k_values),
|
|
b_values),
|
|
m0_values_precommit),
|
|
n0_values_precommit),
|
|
k0_values_precommit),
|
|
h0_values),
|
|
i_values_rhs),
|
|
t_values_rhs),
|
|
framework::dataset::make("export_to_cl_image_rhs", {false, true})),
|
|
framework::dataset::make("has_pad_y", {false, true})),
|
|
framework::dataset::make("DataType", DataType::F32)),
|
|
a_values),
|
|
beta_values),
|
|
act_values))
|
|
{
|
|
// Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension
|
|
if(validate_result)
|
|
{
|
|
validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
|
|
}
|
|
else
|
|
{
|
|
ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
|
|
framework::ARM_COMPUTE_PRINT_INFO();
|
|
}
|
|
}
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunNightly3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<float>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
|
|
m_w_values,
|
|
m_h_values),
|
|
n_values),
|
|
k_values),
|
|
b_values),
|
|
m0_values_nightly),
|
|
n0_values_nightly),
|
|
k0_values_nightly),
|
|
h0_values),
|
|
i_values_rhs),
|
|
t_values_rhs),
|
|
framework::dataset::make("export_to_cl_image_rhs", {false, true})),
|
|
framework::dataset::make("has_pad_y", {false, true})),
|
|
framework::dataset::make("DataType", DataType::F32)),
|
|
a_values),
|
|
beta_values),
|
|
act_values))
|
|
{
|
|
// Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension
|
|
if(validate_result)
|
|
{
|
|
validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
|
|
}
|
|
else
|
|
{
|
|
ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
|
|
framework::ARM_COMPUTE_PRINT_INFO();
|
|
}
|
|
}
|
|
TEST_SUITE_END() // FP32
|
|
|
|
TEST_SUITE(FP16)
|
|
FIXTURE_DATA_TEST_CASE(RunPrecommit, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<half>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
|
|
m_values,
|
|
n_values),
|
|
k_values),
|
|
b_values),
|
|
m0_values_precommit),
|
|
n0_values_precommit),
|
|
k0_values_precommit),
|
|
h0_values),
|
|
i_values_rhs),
|
|
t_values_rhs),
|
|
framework::dataset::make("export_to_cl_image_rhs", true)),
|
|
framework::dataset::make("DataType", DataType::F16)),
|
|
a_values),
|
|
beta_values),
|
|
broadcast_bias_values),
|
|
act_values))
|
|
{
|
|
// Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension
|
|
if(validate_result)
|
|
{
|
|
validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
|
|
}
|
|
else
|
|
{
|
|
ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
|
|
framework::ARM_COMPUTE_PRINT_INFO();
|
|
}
|
|
}
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunNightly, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<half>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
|
|
m_values,
|
|
n_values),
|
|
k_values),
|
|
b_values),
|
|
m0_values_nightly),
|
|
n0_values_nightly),
|
|
k0_values_nightly),
|
|
h0_values),
|
|
i_values_rhs),
|
|
t_values_rhs),
|
|
framework::dataset::make("export_to_cl_image_rhs", true)),
|
|
framework::dataset::make("DataType", DataType::F16)),
|
|
a_values),
|
|
beta_values),
|
|
broadcast_bias_values),
|
|
act_values))
|
|
{
|
|
// Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension
|
|
if(validate_result)
|
|
{
|
|
validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
|
|
}
|
|
else
|
|
{
|
|
ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
|
|
framework::ARM_COMPUTE_PRINT_INFO();
|
|
}
|
|
}
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<half>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
|
|
m_w_values,
|
|
m_h_values),
|
|
n_values),
|
|
k_values),
|
|
b_values),
|
|
m0_values_precommit),
|
|
n0_values_precommit),
|
|
k0_values_precommit),
|
|
h0_values),
|
|
i_values_rhs),
|
|
t_values_rhs),
|
|
framework::dataset::make("export_to_cl_image_rhs", true)),
|
|
framework::dataset::make("has_pad_y", {false, true})),
|
|
framework::dataset::make("DataType", DataType::F16)),
|
|
a_values),
|
|
beta_values),
|
|
act_values))
|
|
{
|
|
// Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension
|
|
if(validate_result)
|
|
{
|
|
validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
|
|
}
|
|
else
|
|
{
|
|
ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
|
|
framework::ARM_COMPUTE_PRINT_INFO();
|
|
}
|
|
}
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunNightly3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<half>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
|
|
m_w_values,
|
|
m_h_values),
|
|
n_values),
|
|
k_values),
|
|
b_values),
|
|
m0_values_nightly),
|
|
n0_values_nightly),
|
|
k0_values_nightly),
|
|
h0_values),
|
|
i_values_rhs),
|
|
t_values_rhs),
|
|
framework::dataset::make("export_to_cl_image_rhs", true)),
|
|
framework::dataset::make("has_pad_y", {false, true})),
|
|
framework::dataset::make("DataType", DataType::F16)),
|
|
a_values),
|
|
beta_values),
|
|
act_values))
|
|
{
|
|
// Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension
|
|
if(validate_result)
|
|
{
|
|
validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
|
|
}
|
|
else
|
|
{
|
|
ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
|
|
framework::ARM_COMPUTE_PRINT_INFO();
|
|
}
|
|
}
|
|
TEST_SUITE_END() // FP16
|
|
|
|
TEST_SUITE_END() // Float
|
|
TEST_SUITE_END() // GEMMMatrixMulipltyReshapedOnlyRHS
|
|
TEST_SUITE_END() // CL
|
|
} // namespace validation
|
|
} // namespace test
|
|
} // namespace arm_compute
|