| /* | |
| * Copyright (c) 2017-2023 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/runtime/CL/CLTensor.h" | |
| #include "arm_compute/runtime/CL/CLTensorAllocator.h" | |
| #include "arm_compute/runtime/CL/functions/CLGEMM.h" | |
| #include "tests/CL/CLAccessor.h" | |
| #include "tests/CL/Helper.h" | |
| #include "tests/PaddingCalculator.h" | |
| #include "tests/datasets/LargeGEMMDataset.h" | |
| #include "tests/datasets/SmallGEMMDataset.h" | |
| #include "tests/datasets/TinyGEMMDataset.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 | |
| { | |
| namespace | |
| { | |
| RelativeTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */ | |
| constexpr float abs_tolerance_f32( | |
| 0.0001f); /**< Absolute tolerance value for comparing reference's output against implementation's output for floating point data types in case using relative tolerance fails because of small values */ | |
| RelativeTolerance<half_float::half> tolerance_f16(half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */ | |
| constexpr float tolerance_num = 0.02f; /**< Tolerance number */ | |
| /** CNN data types */ | |
| const auto CNNDataTypes = framework::dataset::make("DataType", | |
| { | |
| DataType::F16, | |
| DataType::F32, | |
| }); | |
| } // namespace | |
| TEST_SUITE(CL) | |
| TEST_SUITE(GEMM) | |
| // *INDENT-OFF* | |
| // clang-format off | |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( | |
| framework::dataset::make("LhsInfo", { TensorInfo(TensorShape(27U, 13U), 1, DataType::S32), // Unsupported data type | |
| TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), | |
| }), | |
| framework::dataset::make("RhsInfo",{ TensorInfo(TensorShape(8U, 27U), 1, DataType::S32), | |
| TensorInfo(TensorShape(8U, 27U), 1, DataType::F32), | |
| })), | |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(8U, 13U), 1, DataType::S32), | |
| TensorInfo(TensorShape(8U, 13U), 1, DataType::F32), | |
| })), | |
| framework::dataset::make("Expected", { false, true })), | |
| lhs_info, rhs_info, output_info, expected) | |
| { | |
| constexpr float alpha = 1.0; | |
| constexpr float beta = 0.0; | |
| const auto gemm_info = GEMMInfo(); | |
| bool is_valid = bool(CLGEMM::validate(&lhs_info.clone()->set_is_resizable(true), &rhs_info.clone()->set_is_resizable(true), nullptr, &output_info.clone()->set_is_resizable(true), alpha, beta, gemm_info)); | |
| ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); | |
| } | |
| // clang-format on | |
| // *INDENT-ON* | |
| template <typename T> | |
| using CLGEMMFixture = GEMMValidationFixture<CLTensor, CLAccessor, CLGEMM, T>; | |
| template <typename T> | |
| using CLGEMMOutput3DFixture = GEMMValidationFixture<CLTensor, CLAccessor, CLGEMM, T, false, false, true>; | |
| template <typename T> | |
| using CLGEMMInputOutput3DFixture = GEMMValidationFixture<CLTensor, CLAccessor, CLGEMM, T, false, true, true>; | |
| template <typename T> | |
| using CLBatchedMatMulFixture = GEMMValidationFixture<CLTensor, CLAccessor, CLGEMM, T, true, false, false, false, false, true>; | |
| TEST_SUITE(Float) | |
| TEST_SUITE(FP16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), | |
| framework::dataset::make("ReshapeWeights", { true, false })), | |
| framework::dataset::make("DataType", DataType::F16))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), | |
| framework::dataset::make("ReshapeWeights", { true })), | |
| framework::dataset::make("DataType", DataType::F16))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); | |
| } | |
| TEST_SUITE_END() | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), | |
| framework::dataset::make("ReshapeWeights", { true, false })), | |
| framework::dataset::make("DataType", DataType::F32))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), | |
| framework::dataset::make("ReshapeWeights", { true, false })), | |
| framework::dataset::make("DataType", DataType::F32))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32, 0.f, abs_tolerance_f32); | |
| } | |
| TEST_SUITE_END() | |
| TEST_SUITE_END() | |
| TEST_SUITE(INPUT_OUTPUT_3D) | |
| TEST_SUITE(Float) | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMInputOutput3DFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMInputOutput3DDataset(), | |
| framework::dataset::make("ReshapeWeights", { true, false })), | |
| framework::dataset::make("DataType", DataType::F32))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMInputOutput3DFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMInputOutput3DDataset(), | |
| framework::dataset::make("ReshapeWeights", { true, false })), | |
| framework::dataset::make("DataType", DataType::F32))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32, 0.f, abs_tolerance_f32); | |
| } | |
| TEST_SUITE_END() // FP32 | |
| TEST_SUITE(FP16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMInputOutput3DFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMInputOutput3DDataset(), | |
| framework::dataset::make("ReshapeWeights", { true, false })), | |
| framework::dataset::make("DataType", DataType::F16))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMInputOutput3DFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMInputOutput3DDataset(), | |
| framework::dataset::make("ReshapeWeights", { true, false })), | |
| framework::dataset::make("DataType", DataType::F16))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); | |
| } | |
| TEST_SUITE_END() // FP16 | |
| TEST_SUITE_END() // Float | |
| TEST_SUITE_END() // INPUT_OUTPUT_3D | |
| TEST_SUITE(OUTPUT_3D) | |
| TEST_SUITE(Float) | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMOutput3DFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMOutput3DDataset(), | |
| framework::dataset::make("ReshapeWeights", { true, false })), | |
| framework::dataset::make("DataType", DataType::F32))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMOutput3DFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMOutput3DDataset(), | |
| framework::dataset::make("ReshapeWeights", { true, false })), | |
| framework::dataset::make("DataType", DataType::F32))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32, 0.f, abs_tolerance_f32); | |
| } | |
| TEST_SUITE_END() // FP32 | |
| TEST_SUITE(FP16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMOutput3DFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMOutput3DDataset(), | |
| framework::dataset::make("ReshapeWeights", { true, false })), | |
| framework::dataset::make("DataType", DataType::F16))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMOutput3DFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMOutput3DDataset(), | |
| framework::dataset::make("ReshapeWeights", { true, false })), | |
| framework::dataset::make("DataType", DataType::F16))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); | |
| } | |
| TEST_SUITE_END() // FP16 | |
| TEST_SUITE_END() // Float | |
| TEST_SUITE_END() // OUTPUT_3D | |
| TEST_SUITE(BATCHED_MATMUL) | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchedMatMulFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchedMatMulDataset(), | |
| framework::dataset::make("ReshapeWeights", { false })), | |
| framework::dataset::make("DataType", DataType::F32))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num); | |
| } | |
| TEST_SUITE_END() | |
| TEST_SUITE(FP16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchedMatMulFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchedMatMulDataset(), | |
| framework::dataset::make("ReshapeWeights", { false })), | |
| framework::dataset::make("DataType", DataType::F16))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); | |
| } | |
| TEST_SUITE_END() | |
| TEST_SUITE_END() // BATCHED_MATMUL | |
| TEST_SUITE_END() // GEMM | |
| TEST_SUITE_END() // CL | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute |