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Diffstat (limited to 'tests/validation/CL/GEMMMatrixMultiplyInterleavedTransposed.cpp')
| -rw-r--r-- | tests/validation/CL/GEMMMatrixMultiplyInterleavedTransposed.cpp | 334 |
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diff --git a/tests/validation/CL/GEMMMatrixMultiplyInterleavedTransposed.cpp b/tests/validation/CL/GEMMMatrixMultiplyInterleavedTransposed.cpp deleted file mode 100644 index e47518ad7d..0000000000 --- a/tests/validation/CL/GEMMMatrixMultiplyInterleavedTransposed.cpp +++ /dev/null @@ -1,334 +0,0 @@ -/* - * 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/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 "src/core/gpu/cl/kernels/ClGemmMatrixMultiplyKernel.h" -#include "src/core/gpu/cl/kernels/ClGemmReshapeLhsMatrixKernel.h" -#include "src/core/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/GEMMFixture.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -using namespace arm_compute::misc::shape_calculator; -using namespace arm_compute::opencl::kernels; - -// Create function for ClGemmReshapeLhsMatrixKernel -using CLGEMMReshapeLHSMatrix = CLSynthetizeOperator<ClGemmReshapeLhsMatrixKernel>; - -// Create function for ClGemmReshapeRhsMatrixKernel -using CLGEMMReshapeRHSMatrix = CLSynthetizeOperator<ClGemmReshapeRhsMatrixKernel>; - -// Create function for ClGemmMatrixMultiplyKernel -using CLGEMMMatrixMultiplyReshaped = CLSynthetizeOperator<ClGemmMatrixMultiplyKernel>; - -// Fixture for GEMMMatrixMultiplyInterleavedTransposedValidationFixture -template <typename T> -using CLGEMMMatrixMultiplyReshapedFixture = - GEMMMatrixMultiplyInterleavedTransposedValidationFixture<CLTensor, CLAccessor, T, CLGEMMReshapeLHSMatrix, CLGEMMReshapeRHSMatrix, CLGEMMMatrixMultiplyReshaped>; - -// Fixture for GEMMMatrixMultiplyInterleavedTransposed3DValidationFixture -template <typename T> -using CLGEMMMatrixMultiplyReshaped3DFixture = - GEMMMatrixMultiplyInterleavedTransposed3DValidationFixture<CLTensor, CLAccessor, T, CLGEMMReshapeLHSMatrix, CLGEMMReshapeRHSMatrix, CLGEMMMatrixMultiplyReshaped>; - -namespace -{ -// *INDENT-OFF* -// clang-format off -RelativeTolerance<float> rel_tolerance_f32(0.001f); -constexpr float abs_tolerance_f32(0.0001f); - -RelativeTolerance<half> rel_tolerance_f16(half(0.2)); -constexpr float tolerance_num_f16 = 0.02f; - -/** Alpha values to test */ -const auto alpha_values = framework::dataset::make("alpha", {1.0f, -0.75f} ); - -/** Beta values to test */ -const auto beta_values = framework::dataset::make("beta", {-0.35f, 0.0f} ); - -/** M, N combinations to test - * 1: Special 1x1 case - * 2: Special multples of processor size in both dimensions - * 3: Non multiples of processor size in both dimensions -*/ -const auto m_n_values = zip( - framework::dataset::make("M", {1, 16, 37}), - framework::dataset::make("N", {1, 16, 51}) - ); - -/** 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); - -/** 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); - -/** 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), -}); - -/** V0 values to test */ -const auto v0_values = framework::dataset::make("V0", 2); - -/** H0 values to test */ -const auto h0_values = framework::dataset::make("H0", 4); - -/** Broadcast bias from vector to matrix */ -const auto broadcast_bias_values = framework::dataset::make("broadcast_bias", {false, true} ); - -/** GPU architectures values to test */ -const auto gpu_arch_values = framework::dataset::make("GPUArch", -{ - GPUTarget::MIDGARD, - GPUTarget::BIFROST -}); - -/** Data types values to test in the configuration */ -const auto data_type_values = framework::dataset::make("DataType", -{ - DataType::F32, - DataType::F16 -}); - -/** M values to test */ -const auto fp16_mixed_precision_values = framework::dataset::make("fp16_mixed_precision", {true, false}); -} // namespace - -TEST_SUITE(CL) -TEST_SUITE(GEMMMatrixMultiplyInterleavedTransposed) -TEST_CASE(Negative, framework::DatasetMode::ALL) -{ - // The following tests are already integrated in the GEMMMatrixMultiply validation because - // in common with this validation - // - Unsupported QASYMM8 data type - // - Unsupported SIZE_T data type - // - Mixed precision with F32 - // - Max number of dimensions LHS matrix - // - Max number of dimensions RHS matrix - - // Invalid LHS dimensions - { - // The correct shape should be: lhs = TensorInfo(TensorShape(256U, 1U, 1U, 1U), 1, DataType::F32); - const auto lhs = TensorInfo(TensorShape(256U, 2U, 1U, 1U), 1, DataType::F32); - const auto rhs = TensorInfo(TensorShape(104U, 3U, 1U, 1U), 1, DataType::F32); - const auto bias = TensorInfo(TensorShape(24U, 16U, 1U, 1U), 1, DataType::F32); - const auto out = TensorInfo(TensorShape(24U, 16U, 1U, 1U), 1, DataType::F32); - constexpr float alpha = 1.3f; - constexpr float beta = 0.7f; - const bool is_interleaved_transposed = true; - const GEMMReshapeInfo reshape_info = GEMMReshapeInfo(16, 24, 13, 2, 4, 0, false, false); - const GPUTarget gpu_target = GPUTarget::MIDGARD; - const bool fp_mixed_precision = false; - const auto status = ClGemmMatrixMultiplyKernel::validate(&lhs, &rhs, &bias, &out, alpha, beta, is_interleaved_transposed, reshape_info, gpu_target, fp_mixed_precision); - ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); - } - - // Invalid RHS dimensions - { - const auto lhs = TensorInfo(TensorShape(256U, 1U, 1U, 1U), 1, DataType::F32); - // The correct shape should be rhs = TensorInfo(TensorShape(104U, 3U, 1U, 1U), 1, DataType::F32); - const auto rhs = TensorInfo(TensorShape(104U, 4U, 1U, 1U), 1, DataType::F32); - const auto bias = TensorInfo(TensorShape(24U, 16U, 1U, 1U), 1, DataType::F32); - const auto out = TensorInfo(TensorShape(24U, 16U, 1U, 1U), 1, DataType::F32); - constexpr float alpha = 1.3f; - constexpr float beta = 0.7f; - const bool is_interleaved_transposed = true; - const GEMMReshapeInfo reshape_info = GEMMReshapeInfo(16, 24, 13, 2, 4, 0, false, false); - const GPUTarget gpu_target = GPUTarget::MIDGARD; - const bool fp_mixed_precision = false; - const auto status = ClGemmMatrixMultiplyKernel::validate(&lhs, &rhs, &bias, &out, alpha, beta, is_interleaved_transposed, reshape_info, gpu_target, fp_mixed_precision); - ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); - } - - // Broadcast bias - { - const auto lhs = TensorInfo(TensorShape(256U, 1U, 1U, 1U), 1, DataType::F32); - const auto rhs = TensorInfo(TensorShape(104U, 3U, 1U, 1U), 1, DataType::F32); - // The correct shape should be bias = TensorInfo(TensorShape(24U, 1U, 1U, 1U), 1, DataType::F32); - const auto bias = TensorInfo(TensorShape(24U, 16U, 1U, 1U), 1, DataType::F32); - const auto out = TensorInfo(TensorShape(24U, 16U, 1U, 1U), 1, DataType::F32); - constexpr float alpha = 1.3f; - constexpr float beta = 0.7f; - const bool is_interleaved_transposed = true; - const GEMMReshapeInfo reshape_info = GEMMReshapeInfo(16, 24, 13, 2, 4, 0, false, true); - const GPUTarget gpu_target = GPUTarget::MIDGARD; - const bool fp_mixed_precision = false; - const auto status = ClGemmMatrixMultiplyKernel::validate(&lhs, &rhs, &bias, &out, alpha, beta, is_interleaved_transposed, reshape_info, gpu_target, fp_mixed_precision); - ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); - } - - // Invalid dimensions for the bias - { - const auto lhs = TensorInfo(TensorShape(256U, 1U, 1U, 1U), 1, DataType::F32); - const auto rhs = TensorInfo(TensorShape(104U, 3U, 1U, 1U), 1, DataType::F32); - // The correct shape should be bias = TensorInfo(TensorShape(24U, 16U, 1U, 1U), 1, DataType::F32); - const auto bias = TensorInfo(TensorShape(25U, 16U, 1U, 1U), 1, DataType::F32); - const auto out = TensorInfo(TensorShape(24U, 16U, 1U, 1U), 1, DataType::F32); - constexpr float alpha = 1.3f; - constexpr float beta = 0.7f; - const bool is_interleaved_transposed = true; - const GEMMReshapeInfo reshape_info = GEMMReshapeInfo(16, 24, 13, 2, 4, 0, false, false); - const GPUTarget gpu_target = GPUTarget::MIDGARD; - const bool fp_mixed_precision = false; - const auto status = ClGemmMatrixMultiplyKernel::validate(&lhs, &rhs, &bias, &out, alpha, beta, is_interleaved_transposed, reshape_info, gpu_target, fp_mixed_precision); - ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); - } - - // Invalid dimensions for the output - { - const auto lhs = TensorInfo(TensorShape(256U, 1U, 1U, 1U), 1, DataType::F32); - const auto rhs = TensorInfo(TensorShape(104U, 3U, 1U, 1U), 1, DataType::F32); - const auto bias = TensorInfo(TensorShape(24U, 16U, 1U, 1U), 1, DataType::F32); - // The correct shape should be out = TensorInfo(TensorShape(24U, 16U, 1U, 1U), 1, DataType::F32); - const auto out = TensorInfo(TensorShape(24U, 13U, 1U, 1U), 1, DataType::F32); - constexpr float alpha = 1.3f; - constexpr float beta = 0.7f; - const bool is_interleaved_transposed = true; - const GEMMReshapeInfo reshape_info = GEMMReshapeInfo(16, 24, 13, 2, 4, 0, false, false); - const GPUTarget gpu_target = GPUTarget::MIDGARD; - const bool fp_mixed_precision = false; - const auto status = ClGemmMatrixMultiplyKernel::validate(&lhs, &rhs, &bias, &out, alpha, beta, is_interleaved_transposed, reshape_info, gpu_target, fp_mixed_precision); - ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); - } -} - -TEST_SUITE(Float) -TEST_SUITE(FP32) -FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedFixture<float>, framework::DatasetMode::ALL, - combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( - m_n_values, - k_values), - b_values), - alpha_values), - beta_values), - v0_values), - h0_values), - broadcast_bias_values), - framework::dataset::make("fp16_mixed_precision", false)), - act_values), - framework::dataset::make("DataType", DataType::F32)), - gpu_arch_values)) -{ - // Validate output - validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); -} - -FIXTURE_DATA_TEST_CASE(RunSmall3D, CLGEMMMatrixMultiplyReshaped3DFixture<float>, framework::DatasetMode::ALL, - 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), - alpha_values), - beta_values), - v0_values), - h0_values), - broadcast_bias_values), - framework::dataset::make("fp16_mixed_precision", false)), - act_values), - framework::dataset::make("DataType", DataType::F32)), - gpu_arch_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<half>, framework::DatasetMode::ALL, - combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( - m_n_values, - k_values), - b_values), - alpha_values), - beta_values), - v0_values), - h0_values), - broadcast_bias_values), - fp16_mixed_precision_values), - act_values), - framework::dataset::make("DataType", DataType::F16)), - gpu_arch_values)) -{ - // Validate output - validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num_f16); -} - -FIXTURE_DATA_TEST_CASE(RunSmall3D, CLGEMMMatrixMultiplyReshaped3DFixture<half>, framework::DatasetMode::ALL, - 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), - alpha_values), - beta_values), - v0_values), - h0_values), - broadcast_bias_values), - fp16_mixed_precision_values), - act_values), - framework::dataset::make("DataType", DataType::F16)), - gpu_arch_values)) -{ - // Validate output - validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num_f16); -} - -TEST_SUITE_END() // FP16 -TEST_SUITE_END() // Float -TEST_SUITE_END() // GEMMMatrixMulipltyInterleavedTransposed -TEST_SUITE_END() // CL -} // namespace validation -} // namespace test -} // namespace arm_compute
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