366 lines
20 KiB
C++
366 lines
20 KiB
C++
/*
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* Copyright (c) 2017-2020 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/CLGEMMLowpMatrixMultiplyCore.h"
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#include "arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h"
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#include "tests/CL/CLAccessor.h"
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#include "tests/PaddingCalculator.h"
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#include "tests/datasets/GEMMLowpFusedOffsetOutputDataset.h"
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#include "tests/datasets/LargeGEMMLowpDataset.h"
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#include "tests/datasets/ShapeDatasets.h"
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#include "tests/datasets/SmallGEMMLowpDataset.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/GEMMLowpFixture.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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constexpr AbsoluteTolerance<float> tolerance_quant(1); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */
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}
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TEST_SUITE(CL)
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TEST_SUITE(GEMMLowp)
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TEST_SUITE(MatrixMultiplyCore)
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using CLGEMMLowpMatrixMultiplyCoreFixture = GEMMLowpMatrixMultiplyCoreValidationFixture<CLTensor, CLAccessor, CLGEMMLowpMatrixMultiplyCore>;
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpMatrixMultiplyCoreFixture, framework::DatasetMode::ALL, datasets::SmallGEMMLowpDataset())
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpMatrixMultiplyCoreFixture, framework::DatasetMode::NIGHTLY, datasets::LargeGEMMLowpDataset())
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE(FusedOffsetOutput)
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TEST_SUITE(QASYMM8)
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using CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputUint8Fixture = GEMMLowpMatrixMultiplyCoreFusedOffsetOutputValidationFixture<CLTensor, CLAccessor, CLGEMMLowpMatrixMultiplyCore>;
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputUint8Fixture, framework::DatasetMode::ALL, combine(datasets::SmallGEMMLowpFusedOffsetOutputUint8Dataset(),
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framework::dataset::make("DataType", { DataType::QASYMM8 })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_quant);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputUint8Fixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGEMMLowpFusedOffsetOutputUint8Dataset(),
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framework::dataset::make("DataType", { DataType::QASYMM8 })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_quant);
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}
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TEST_SUITE_END() // QASYMM8
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TEST_SUITE(QASYMM8_SIGNED)
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using CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputInt8Fixture =
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GEMMLowpMatrixMultiplyCoreFusedOffsetOutputValidationFixture<CLTensor, CLAccessor, CLGEMMLowpMatrixMultiplyCore, false, false, int8_t, int8_t>;
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputInt8Fixture, framework::DatasetMode::ALL, combine(datasets::SmallGEMMLowpFusedOffsetOutputInt8Dataset(),
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framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_quant);
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}
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TEST_SUITE_END() // QASYMM8_SIGNED
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TEST_SUITE_END() // FusedOffsetOutput
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TEST_SUITE(Output3D)
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using CLGEMMLowpMatrixMultiplyCoreOutput3DFixture = GEMMLowpMatrixMultiplyCoreValidationFixture<CLTensor, CLAccessor, CLGEMMLowpMatrixMultiplyCore, false, true>;
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpMatrixMultiplyCoreOutput3DFixture, framework::DatasetMode::PRECOMMIT, datasets::SmallGEMMLowpOutput3DDataset())
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpMatrixMultiplyCoreOutput3DFixture, framework::DatasetMode::NIGHTLY, datasets::LargeGEMMLowpOutput3DDataset())
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // Output3D
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TEST_SUITE(InputOutput3D)
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using CLGEMMLowpMatrixMultiplyCoreInputOutput3DFixture = GEMMLowpMatrixMultiplyCoreValidationFixture<CLTensor, CLAccessor, CLGEMMLowpMatrixMultiplyCore, true, true>;
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpMatrixMultiplyCoreInputOutput3DFixture, framework::DatasetMode::PRECOMMIT, datasets::SmallGEMMLowpInputOutput3DDataset())
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpMatrixMultiplyCoreInputOutput3DFixture, framework::DatasetMode::NIGHTLY, datasets::LargeGEMMLowpInputOutput3DDataset())
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // InputOutput3D
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TEST_SUITE_END() // MatrixMultiplyCore
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TEST_SUITE(OutputStage)
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TEST_SUITE(QuantizeDownInt32Scale)
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TEST_SUITE(QASYMM8)
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const auto quantize_down_int32_to_uint8_scale_cases = framework::dataset::make("result_offset", -2, 1) * framework::dataset::make("result_mult_int", 1, 2) * framework::dataset::make("result_shift", 2,
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3)
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* framework::dataset::make("min", 0) * framework::dataset::make("max", 255) * framework::dataset::make("addBias", { false, true });
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const auto quantize_down_int32_to_uint8_scale_relu_cases = framework::dataset::make("result_offset", -2, 1) * framework::dataset::make("result_mult_int", 1,
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2)
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* framework::dataset::make("result_shift", 2, 3) * framework::dataset::make("min", 0, 2) * framework::dataset::make("max", 171, 173) * framework::dataset::make("addBias", { false, true });
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using CLGEMMLowpQuantizeDownInt32ScaleFixture = GEMMLowpQuantizeDownInt32ToUint8ScaleValidationFixture<CLTensor, CLAccessor, CLGEMMLowpOutputStage>;
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE(BoundedReLu)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_relu_cases))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // BoundedReLu
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TEST_SUITE_END() // QASYMM8
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TEST_SUITE(QASYMM8_SIGNED)
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const auto quantize_down_int32_to_int8_scale_cases = framework::dataset::make("result_offset", -2, 1) * framework::dataset::make("result_mult_int", 1, 2) * framework::dataset::make("result_shift", 2,
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3)
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* framework::dataset::make("min", -128) * framework::dataset::make("max", 127) * framework::dataset::make("addBias", { false, true });
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const auto quantize_down_int32_to_int8_scale_relu_cases = framework::dataset::make("result_offset", -2, 1) * framework::dataset::make("result_mult_int", 1,
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2)
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* framework::dataset::make("result_shift", 2, 3) * framework::dataset::make("min", -100, -98) * framework::dataset::make("max", 71, 73) * framework::dataset::make("addBias", { false, true });
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using CLGEMMLowpQuantizeDownInt32ScaleFixture = GEMMLowpQuantizeDownInt32ToInt8ScaleValidationFixture<CLTensor, CLAccessor, CLGEMMLowpOutputStage>;
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_int8_scale_cases))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE(BoundedReLu)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_int8_scale_relu_cases))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // BoundedReLu
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TEST_SUITE_END() // QASYMM8_SIGNED
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TEST_SUITE_END() // QuantizeDownInt32Scale
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TEST_SUITE(QuantizeDownInt32ScaleByFixedPoint)
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TEST_SUITE(QASYMM8)
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const auto quantize_down_int32_to_uint8_scale_by_fixedpoint_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, 254601602) * framework::dataset::make("result_shift", 1,
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2)
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* framework::dataset::make("result_offset_after_shift", 2, 3) * framework::dataset::make("min", 0) * framework::dataset::make("max", 255) * framework::dataset::make("addBias", { false, true });
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const auto quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, 254601602) * framework::dataset::make("result_shift", 1,
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2)
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* framework::dataset::make("result_offset_after_shift", 2, 3) * framework::dataset::make("min", 0, 2) * framework::dataset::make("max", 171, 174) * framework::dataset::make("addBias", { false, true });
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using CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture =
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GEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointValidationFixture<CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint>;
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(),
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quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(),
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quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE(BoundedReLu)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(),
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quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(),
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quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // BoundedReLu
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TEST_SUITE_END() // QASYMM8
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TEST_SUITE(QASYMM8_SIGNED)
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const auto quantize_down_int32_to_int8_scale_by_fixedpoint_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, 254601602) * framework::dataset::make("result_shift", 1, 2)
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* framework::dataset::make("result_offset_after_shift", 2, 3) * framework::dataset::make("min", -128) * framework::dataset::make("max", 127) * framework::dataset::make("addBias", { false, true });
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const auto quantize_down_int32_to_int8_scale_by_fixedpoint_relu_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, 254601602) * framework::dataset::make("result_shift", 1, 2)
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* framework::dataset::make("result_offset_after_shift", 2, 3) * framework::dataset::make("min", -128, -126) * framework::dataset::make("max", 110, 112) * framework::dataset::make("addBias", { false, true });
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using CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointFixture =
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GEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointValidationFixture<CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint>;
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(),
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quantize_down_int32_to_int8_scale_by_fixedpoint_cases))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE(BoundedReLu)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(),
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quantize_down_int32_to_int8_scale_by_fixedpoint_relu_cases))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // BoundedReLu
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TEST_SUITE_END() // QASYMM8_SIGNED
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TEST_SUITE(QSYMM16)
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const auto quantize_down_int32_to_int16_scale_by_fixedpoint_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, 254601602) * framework::dataset::make("result_shift", 1,
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2)
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* framework::dataset::make("min", -32768) * framework::dataset::make("max", 32767) * framework::dataset::make("addBias", { false, true });
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const auto quantize_down_int32_to_int16_scale_by_fixedpoint_relu_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, 254601602) * framework::dataset::make("result_shift", 1,
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2)
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* framework::dataset::make("min", -2, 0) * framework::dataset::make("max", 1, 3) * framework::dataset::make("addBias", { false, true });
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const auto quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_cases = framework::dataset::make("result_fixedpoint_multiplier", 1073741823,
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1073741825)
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* framework::dataset::make("result_shift", -3,
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-2)
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* framework::dataset::make("min", -32768) * framework::dataset::make("max", 32767) * framework::dataset::make("addBias", { false, true });
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const auto quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_relu_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600,
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254601602)
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* framework::dataset::make("result_shift", -3,
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-1)
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* framework::dataset::make("min", -2, 0) * framework::dataset::make("max", 1, 3) * framework::dataset::make("addBias", { false, true });
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using CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture =
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GEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointValidationFixture<CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint>;
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TEST_SUITE(NoRelu)
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TEST_SUITE(MultSmallerEq1)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(),
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quantize_down_int32_to_int16_scale_by_fixedpoint_cases))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // MultSmallerEq1
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TEST_SUITE(MultGreater1)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(),
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quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_cases))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // MultGreater1
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TEST_SUITE_END() // NoRelu
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TEST_SUITE(BoundedReLu)
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TEST_SUITE(MultSmallerEq1)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(),
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quantize_down_int32_to_int16_scale_by_fixedpoint_relu_cases))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // MultSmallerEq1
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TEST_SUITE(MultGreater1)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(),
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quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_relu_cases))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // MultGreater1
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TEST_SUITE_END() // BoundedReLu
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TEST_SUITE_END() // QSYMM16
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TEST_SUITE_END() // QuantizeDownInt32ScaleByFixedPoint
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TEST_SUITE(QuantizeDownInt32ScaleByFloat)
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TEST_SUITE(QASYMM8)
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using CLGEMMLowpQuantizeDownInt32ScaleByFloatFixture =
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GEMMLowpQuantizeDownInt32ScaleByFloatValidationFixture<CLTensor, CLAccessor, CLGEMMLowpOutputStage, uint8_t>;
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FIXTURE_DATA_TEST_CASE(RunTiny, CLGEMMLowpQuantizeDownInt32ScaleByFloatFixture, framework::DatasetMode::ALL,
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combine(combine(combine(combine(combine(combine(framework::dataset::make("DataType", DataType::QASYMM8),
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datasets::TinyShapes()),
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framework::dataset::make("result_real_multiplier", 0.33f)),
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framework::dataset::make("result_offset", 2, 3)),
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framework::dataset::make("min", 0)),
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framework::dataset::make("max", 255)),
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framework::dataset::make("addBias", { false, true })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // QASYMM8
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TEST_SUITE(QASYMM8_SIGNED)
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using CLGEMMLowpQuantizeDownInt32ScaleByFloatFixture_Signed =
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GEMMLowpQuantizeDownInt32ScaleByFloatValidationFixture<CLTensor, CLAccessor, CLGEMMLowpOutputStage, int8_t>;
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FIXTURE_DATA_TEST_CASE(RunTiny, CLGEMMLowpQuantizeDownInt32ScaleByFloatFixture_Signed, framework::DatasetMode::ALL,
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combine(combine(combine(combine(combine(combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED),
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datasets::TinyShapes()),
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framework::dataset::make("result_real_multiplier", 0.33f)),
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framework::dataset::make("result_offset", 2, 3)),
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framework::dataset::make("min", -128)),
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framework::dataset::make("max", 127)),
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framework::dataset::make("addBias", { false, true })))
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|
{
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// Validate output
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|
validate(CLAccessor(_target), _reference);
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|
}
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TEST_SUITE_END() // QASYMM8_SIGNED
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TEST_SUITE_END() // QuantizeDownInt32ScaleByFloat
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|
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TEST_SUITE_END() // OutputStage
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TEST_SUITE_END() // GEMMLowp
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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
|