/* * Copyright (c) 2018-2019 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/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" #include "arm_compute/runtime/CL/CLTensorAllocator.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/GEMMFixture.h" namespace arm_compute { namespace test { namespace validation { using namespace arm_compute::misc::shape_calculator; // Create function for CLGEMMReshapeLHSMatrixKernel using CLGEMMReshapeLHSMatrix = CLSynthetizeFunction; // Create function for CLGEMMReshapeRHSMatrixKernel using CLGEMMReshapeRHSMatrix = CLSynthetizeFunction; // Create function for CLGEMMMatrixMultiplyReshapedKernel using CLGEMMMatrixMultiplyReshaped = CLSynthetizeFunction; // Fixture for CLGEMMMatrixMultiplyReshaped template using CLGEMMMatrixMultiplyReshapedFixture = GEMMMatrixMultiplyReshapedValidationFixture; // Fixture for CLGEMMMatrixMultiplyReshaped mixed precision template using CLGEMMMatrixMultiplyReshapedMixedPrecisionFixture = GEMMMatrixMultiplyReshapedValidationFixture; // Fixture for CLGEMMMatrixMultiplyReshaped3D template using CLGEMMMatrixMultiplyReshaped3DFixture = GEMMMatrixMultiplyReshaped3DValidationFixture; // Fixture for CLGEMMMatrixMultiplyReshaped3D mixed precision template using CLGEMMMatrixMultiplyReshaped3DMixedPrecisionFixture = GEMMMatrixMultiplyReshaped3DValidationFixture; namespace { // *INDENT-OFF* // clang-format off RelativeTolerance rel_tolerance_f32(0.001f); constexpr float abs_tolerance_f32(0.0001f); RelativeTolerance rel_tolerance_f16_mixed_precision(0.001f); constexpr float abs_tolerance_f16_mixed_precision(0.01f); RelativeTolerance rel_tolerance_f16(0.001f); constexpr float abs_tolerance_f16(0.01f); /** 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); /** Activation values to test */ const auto act_values = framework::dataset::make("Activation", { ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 8.f, 2.f), }); /** Alpha values to test - Precommit */ const auto a_values_precommit = framework::dataset::make("alpha", {-0.75f} ); /** Beta values to test - Precommit */ const auto beta_values_precommit = framework::dataset::make("beta", {-0.35f} ); /** M0 values to test - Precommit */ const auto m0_values_precommit = framework::dataset::make("M0", { 4 }); /** 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", { 4 }); /** V0 values to test - Precommit */ const auto v0_values_precommit = framework::dataset::make("V0", 1, 3); /** H0 values to test - Precommit */ const auto h0_values_precommit = framework::dataset::make("H0", 1, 3); /** Alpha values to test - Nightly */ const auto a_values_nightly = framework::dataset::make("alpha", {1.0f} ); /** Beta values to test - Nightly */ const auto beta_values_nightly = framework::dataset::make("beta", {1.0f} ); /** M0 values to test - Nightly */ const auto m0_values_nightly = framework::dataset::make("M0", { 2, 3, 4, 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 }); /** V0 values to test - Nightly */ const auto v0_values_nightly = framework::dataset::make("V0", 1, 4); /** H0 values to test - Nightly */ const auto h0_values_nightly = framework::dataset::make("H0", 1, 4); /** Interleave values to test with LHS matrix */ const auto i_values_lhs = framework::dataset::make("interleave_lhs", { true, false }); /** Interleave values to test with RHS matrix */ const auto i_values_rhs = framework::dataset::make("interleave_rhs", { true, false }); /** Broadcast bias from vector to matrix */ const auto broadcast_bias_values = framework::dataset::make("broadcast_bias", { false, true } ); /** LHS transposed values */ const auto lhs_transpose_values = framework::dataset::make("lhs_transpose", { false, true } ); } // namespace TEST_SUITE(CL) TEST_SUITE(GEMMMatrixMultiplyReshaped) TEST_SUITE(Float) TEST_SUITE(FP32) FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedFixture, framework::DatasetMode::ALL, combine(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), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), framework::dataset::make("DataType", DataType::F32)), a_values_precommit), beta_values_precommit), broadcast_bias_values), lhs_transpose_values), act_values)) { // Validate output validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMMatrixMultiplyReshapedFixture, framework::DatasetMode::NIGHTLY, combine(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), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs), framework::dataset::make("DataType", DataType::F32)), a_values_nightly), beta_values_nightly), broadcast_bias_values), lhs_transpose_values), act_values)) { // Validate output validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunSmall3D, CLGEMMMatrixMultiplyReshaped3DFixture, framework::DatasetMode::ALL, 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), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), framework::dataset::make("DataType", DataType::F32)), a_values_precommit), beta_values_precommit), lhs_transpose_values), act_values)) { // Validate output validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunLarge3D, CLGEMMMatrixMultiplyReshaped3DFixture, 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), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs), framework::dataset::make("DataType", DataType::F32)), a_values_nightly), beta_values_nightly), lhs_transpose_values), act_values)) { // Validate output validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); } TEST_SUITE_END() // FP32 TEST_SUITE(FP16) FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedFixture, framework::DatasetMode::ALL, combine(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), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), framework::dataset::make("DataType", DataType::F16)), a_values_precommit), beta_values_precommit), broadcast_bias_values), lhs_transpose_values), act_values)) { // Validate output validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16); } FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMMatrixMultiplyReshapedFixture, framework::DatasetMode::NIGHTLY, combine(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), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs), framework::dataset::make("DataType", DataType::F16)), a_values_nightly), beta_values_nightly), broadcast_bias_values), lhs_transpose_values), act_values)) { // Validate output validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16); } FIXTURE_DATA_TEST_CASE(RunSmall3D, CLGEMMMatrixMultiplyReshaped3DFixture, framework::DatasetMode::ALL, 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), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), framework::dataset::make("DataType", DataType::F16)), a_values_precommit), beta_values_precommit), lhs_transpose_values), act_values)) { // Validate output validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16); } FIXTURE_DATA_TEST_CASE(RunLarge3D, CLGEMMMatrixMultiplyReshaped3DFixture, 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), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs), framework::dataset::make("DataType", DataType::F16)), a_values_nightly), beta_values_nightly), lhs_transpose_values), act_values)) { // Validate output validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16); } TEST_SUITE_END() // FP16 TEST_SUITE(MixedPrecision) FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedMixedPrecisionFixture, framework::DatasetMode::ALL, combine(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), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), framework::dataset::make("DataType", DataType::F16)), a_values_precommit), beta_values_precommit), broadcast_bias_values), lhs_transpose_values), act_values)) { // Validate output validate(CLAccessor(_target), _reference, rel_tolerance_f16_mixed_precision, 0.f, abs_tolerance_f16_mixed_precision); } FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMMatrixMultiplyReshapedMixedPrecisionFixture, framework::DatasetMode::NIGHTLY, combine(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), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs), framework::dataset::make("DataType", DataType::F16)), a_values_nightly), beta_values_nightly), broadcast_bias_values), lhs_transpose_values), act_values)) { // Validate output validate(CLAccessor(_target), _reference, rel_tolerance_f16_mixed_precision, 0.f, abs_tolerance_f16_mixed_precision); } FIXTURE_DATA_TEST_CASE(RunSmall3D, CLGEMMMatrixMultiplyReshaped3DMixedPrecisionFixture, framework::DatasetMode::ALL, 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), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), framework::dataset::make("DataType", DataType::F16)), a_values_precommit), beta_values_precommit), lhs_transpose_values), act_values)) { // Validate output validate(CLAccessor(_target), _reference, rel_tolerance_f16_mixed_precision, 0.f, abs_tolerance_f16_mixed_precision); } FIXTURE_DATA_TEST_CASE(RunLarge3D, CLGEMMMatrixMultiplyReshaped3DMixedPrecisionFixture, 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), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs), framework::dataset::make("DataType", DataType::F16)), a_values_nightly), beta_values_nightly), lhs_transpose_values), act_values)) { // Validate output validate(CLAccessor(_target), _reference, rel_tolerance_f16_mixed_precision, 0.f, abs_tolerance_f16_mixed_precision); } TEST_SUITE_END() // MixedPrecision TEST_SUITE_END() // Float TEST_SUITE_END() // GEMMMatrixMultiplyReshaped TEST_SUITE_END() // CL } // namespace validation } // namespace test } // namespace arm_compute