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