/* * Copyright (c) 2019-2021 Arm Limited. * * SPDX-License-Identifier: MIT * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to * deal in the Software without restriction, including without limitation the * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or * sell copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ #include "arm_compute/core/Types.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/runtime/CL/CLTensor.h" #include "arm_compute/runtime/CL/CLTensorAllocator.h" #include "src/gpu/cl/kernels/ClGemmLowpMatrixMultiplyReshapedOnlyRhsKernel.h" #include "src/gpu/cl/kernels/ClGemmReshapeRhsMatrixKernel.h" #include "tests/CL/CLAccessor.h" #include "tests/CL/Helper.h" #include "tests/PaddingCalculator.h" #include "tests/datasets/ShapeDatasets.h" #include "tests/framework/Asserts.h" #include "tests/framework/Macros.h" #include "tests/framework/datasets/Datasets.h" #include "tests/validation/Validation.h" #include "tests/validation/fixtures/GEMMLowpFixture.h" namespace arm_compute { namespace test { namespace validation { using namespace arm_compute::misc::shape_calculator; // Create function for CLGEMMReshapeRHSMatrixKernel using CLGEMMReshapeRHSMatrix = CLSynthetizeOperator; // Create function for CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel using CLGEMMLowpMatrixMultiplyReshapedOnlyRHS = CLSynthetizeOperator; // Fixture for CLGEMMLowpMatrixMultiplyReshapedOnlyRHS using CLGEMMLowpMatrixMultiplyReshapedOnlyRHSFixture = GEMMLowpMatrixMultiplyReshapedOnlyRHSValidationFixture; // Fixture for CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3D using CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3DFixture = GEMMLowpMatrixMultiplyReshapedOnlyRHS3DValidationFixture; namespace { // *INDENT-OFF* // clang-format off /** M values to test */ const auto m_values = framework::dataset::make("M", 37); /** M_W values to test */ const auto m_w_values = framework::dataset::make("M_W", 5); /** M_H values to test */ const auto m_h_values = framework::dataset::make("M_H", 7); /** N values to test */ const auto n_values = framework::dataset::make("N", 51); /** K values to test */ const auto k_values = framework::dataset::make("K", 23); /** Batch size values to test */ const auto b_values = framework::dataset::make("batch_size", 1, 3); /** M0 values to test - Precommit */ const auto m0_values_precommit_1 = framework::dataset::make("M0", {4}); const auto m0_values_precommit_2 = framework::dataset::make("M0", {6}); /** N0 values to test - Precommit */ const auto n0_values_precommit = framework::dataset::make("N0", { 4 }); /** K0 values to test - Precommit */ const auto k0_values_precommit = framework::dataset::make("K0", { 16 }); /** H0 values to test - Precommit */ const auto h0_values_precommit = framework::dataset::make("H0", 1, 3); /** M0 values to test - Nightly */ const auto m0_values_nightly = framework::dataset::make("M0", 2, 8); /** N0 values to test - Nightly */ const auto n0_values_nightly = framework::dataset::make("N0", { 2, 3, 4, 8 }); /** K0 values to test - Nightly */ const auto k0_values_nightly = framework::dataset::make("K0", { 2, 3, 4, 8, 16 }); /** H0 values to test - Nightly */ const auto h0_values_nightly = framework::dataset::make("H0", 1, 4); /** Interleave values to test with RHS matrix */ const auto i_values_rhs = framework::dataset::make("interleave_rhs", { true, false }); /** Transpose values to test with RHS matrix */ const auto t_values_rhs = framework::dataset::make("transpose_rhs", { true }); /** Configuration test */ void validate_configuration(unsigned int m_value, unsigned int n_value, unsigned int k_value, unsigned int b_value, unsigned int m0_value, unsigned int n0_value, unsigned int k0_value, unsigned int h0_value, bool i_value_rhs) { const unsigned int M = m_value; const unsigned int N = n_value; const unsigned int K = k_value; GEMMLHSMatrixInfo lhs_info; lhs_info.m0 = m0_value; lhs_info.k0 = k0_value; GEMMRHSMatrixInfo rhs_info; rhs_info.n0 = n0_value; rhs_info.k0 = k0_value; rhs_info.h0 = h0_value; rhs_info.interleave = i_value_rhs; rhs_info.transpose = true; GEMMKernelInfo gemm_info; gemm_info.m = M; gemm_info.n = N; gemm_info.k = K; gemm_info.lhs_info = lhs_info; gemm_info.rhs_info = rhs_info; const TensorShape lhs_shape(K, M, b_value); const TensorShape rhs_shape(N, K, b_value); const TensorShape rhs_shape_reshaped = compute_rhs_reshaped_shape(TensorInfo(rhs_shape, 1, DataType::QASYMM8), rhs_info); const TensorShape dst_shape = compute_mm_shape(TensorInfo(lhs_shape, 1, DataType::QASYMM8), TensorInfo(rhs_shape_reshaped, 1, DataType::QASYMM8), gemm_info); // Create tensors CLTensor lhs = create_tensor(lhs_shape, DataType::QASYMM8); CLTensor rhs_reshaped = create_tensor(rhs_shape_reshaped, DataType::QASYMM8); CLTensor dst = create_tensor(dst_shape, DataType::S32); ARM_COMPUTE_EXPECT(lhs.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(rhs_reshaped.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); // Create and configure function CLGEMMLowpMatrixMultiplyReshapedOnlyRHS gemm; gemm.configure(lhs.info(), rhs_reshaped.info(), dst.info(), gemm_info); } } // namespace TEST_SUITE(CL) TEST_SUITE(GEMMLowpMatrixMultiplyReshapedOnlyRHS) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine( m_values, n_values), k_values), framework::dataset::make("batch_size", 1)), m0_values_precommit_1), n0_values_precommit), k0_values_precommit), h0_values_precommit), i_values_rhs), m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, h0_value, i_value_rhs) { validate_configuration(m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, h0_value, i_value_rhs); } FIXTURE_DATA_TEST_CASE(RunSmall_1, CLGEMMLowpMatrixMultiplyReshapedOnlyRHSFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( m_values, n_values), k_values), b_values), m0_values_precommit_1), n0_values_precommit), k0_values_precommit), h0_values_precommit), i_values_rhs), t_values_rhs), framework::dataset::make("DataType", { DataType::QASYMM8 }))) { // Validate output validate(CLAccessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunSmall_2, CLGEMMLowpMatrixMultiplyReshapedOnlyRHSFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( m_values, n_values), k_values), b_values), m0_values_precommit_2), n0_values_precommit), k0_values_precommit), h0_values_precommit), i_values_rhs), t_values_rhs), framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED }))) { // Validate output validate(CLAccessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpMatrixMultiplyReshapedOnlyRHSFixture, framework::DatasetMode::DISABLED, 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_nightly), i_values_rhs), t_values_rhs), framework::dataset::make("DataType", { DataType::QASYMM8 }))) { // Validate output validate(CLAccessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunSmall3D_1, CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3DFixture, framework::DatasetMode::ALL, 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_1), n0_values_precommit), k0_values_precommit), h0_values_precommit), i_values_rhs), t_values_rhs), framework::dataset::make("DataType", { DataType::QASYMM8 }))) { // Validate output validate(CLAccessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunSmall3D_2, CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3DFixture, framework::DatasetMode::ALL, 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_2), n0_values_precommit), k0_values_precommit), h0_values_precommit), i_values_rhs), t_values_rhs), framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED }))) { // Validate output validate(CLAccessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunLarge3D, CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3DFixture, framework::DatasetMode::DISABLED, 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_nightly), i_values_rhs), t_values_rhs), framework::dataset::make("DataType", { DataType::QASYMM8 }))) { // Validate output validate(CLAccessor(_target), _reference); } TEST_SUITE_END() // GEMMLowpMatrixMultiplyReshapedOnlyRHS TEST_SUITE_END() // CL } // namespace validation } // namespace test } // namespace arm_compute