211 lines
12 KiB
C++
211 lines
12 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/CLQuantizationLayer.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/ShapeDatasets.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/QuantizationLayerFixture.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_f32(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */
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constexpr AbsoluteTolerance<uint8_t> tolerance_u8(1); /**< Tolerance value for comparing reference's output against implementation's output for QASYMM8 data types */
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constexpr AbsoluteTolerance<int8_t> tolerance_s8(1); /**< Tolerance value for comparing reference's output against implementation's output for QASYMM8_SIGNED data types */
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constexpr AbsoluteTolerance<uint16_t> tolerance_u16(1); /**< Tolerance value for comparing reference's output against implementation's output for QASYMM16 data types */
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const auto QuantizationSmallShapes = concat(datasets::Small3DShapes(), datasets::Small4DShapes());
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const auto QuantizationLargeShapes = concat(datasets::Large3DShapes(), datasets::Large4DShapes());
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} // namespace
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TEST_SUITE(CL)
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TEST_SUITE(QuantizationLayer)
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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(
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framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Wrong output data type
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TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Wrong output data type
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TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::F32), // Mismatching shapes
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TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Valid
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}),
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framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
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TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U16),
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TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8),
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TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8),
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})),
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framework::dataset::make("Expected", { false, false, false, true})),
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input_info, output_info, expected)
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{
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ARM_COMPUTE_EXPECT(bool(CLQuantizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == 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 CLQuantizationLayerQASYMM8Fixture = QuantizationValidationFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint8_t>;
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template <typename T>
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using CLQuantizationLayerQASYMM8_SIGNEDFixture = QuantizationValidationFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, int8_t>;
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template <typename T>
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using CLQuantizationLayerQASYMM16Fixture = QuantizationValidationFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint16_t>;
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TEST_SUITE(Float)
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TEST_SUITE(FP32)
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FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8, CLQuantizationLayerQASYMM8Fixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(QuantizationSmallShapes,
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framework::dataset::make("DataTypeIn", DataType::F32)),
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framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
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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(RunSmallQASYMM8_SIGNED, CLQuantizationLayerQASYMM8_SIGNEDFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(QuantizationSmallShapes,
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framework::dataset::make("DataTypeIn", DataType::F32)),
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framework::dataset::make("DataTypeOut", { DataType::QASYMM8_SIGNED })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
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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(RunSmallQASYMM16, CLQuantizationLayerQASYMM16Fixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(QuantizationSmallShapes,
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framework::dataset::make("DataTypeIn", DataType::F32)),
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framework::dataset::make("DataTypeOut", { DataType::QASYMM16 })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_u16);
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}
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FIXTURE_DATA_TEST_CASE(RunLargeQASYMM8, CLQuantizationLayerQASYMM8Fixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(QuantizationLargeShapes,
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framework::dataset::make("DataTypeIn", DataType::F32)),
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framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
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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(RunLargeQASYMM16, CLQuantizationLayerQASYMM16Fixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(QuantizationLargeShapes,
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framework::dataset::make("DataTypeIn", DataType::F32)),
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framework::dataset::make("DataTypeOut", { DataType::QASYMM16 })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_u16);
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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(RunSmallQASYMM8, CLQuantizationLayerQASYMM8Fixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(QuantizationSmallShapes,
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framework::dataset::make("DataTypeIn", DataType::F16)),
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framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
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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(RunLargeQASYMM8, CLQuantizationLayerQASYMM8Fixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(QuantizationLargeShapes,
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framework::dataset::make("DataTypeIn", DataType::F16)),
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framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
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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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TEST_SUITE_END() // FP16
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TEST_SUITE_END() // Float
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TEST_SUITE(Quantized)
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template <typename T>
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using CLQuantizationLayerQASYMM8GenFixture = QuantizationValidationGenericFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint8_t>;
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template <typename T>
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using CLQuantizationLayerQASYMM8_SIGNEDGenFixture = QuantizationValidationGenericFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, int8_t>;
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template <typename T>
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using CLQuantizationLayerQASYMM16GenFixture = QuantizationValidationGenericFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint16_t>;
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TEST_SUITE(QASYMM8)
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FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8, CLQuantizationLayerQASYMM8GenFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes,
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framework::dataset::make("DataType", DataType::QASYMM8)),
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framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
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framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(0.5f, 10) })),
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framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(2.0f, 15) })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_u8);
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}
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FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8_SIGNED, CLQuantizationLayerQASYMM8_SIGNEDGenFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes,
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framework::dataset::make("DataTypeIn", DataType::QASYMM8)),
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framework::dataset::make("DataTypeOut", { DataType::QASYMM8_SIGNED })),
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framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.0f, 10) })),
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framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.0f, 15) })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_s8);
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}
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FIXTURE_DATA_TEST_CASE(RunSmallQASYMM16, CLQuantizationLayerQASYMM16GenFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes,
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framework::dataset::make("DataTypeIn", DataType::QASYMM8)),
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framework::dataset::make("DataTypeOut", { DataType::QASYMM16 })),
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framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.0f, 10) })),
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framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(4.0f, 23) })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_u16);
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}
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TEST_SUITE_END() // QASYMM8
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TEST_SUITE(QASYMM8_SIGNED)
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FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8_SIGNED, CLQuantizationLayerQASYMM8_SIGNEDGenFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes,
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framework::dataset::make("DataTypeIn", DataType::QASYMM8_SIGNED)),
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framework::dataset::make("DataTypeOut", { DataType::QASYMM8_SIGNED })),
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framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.0f, 10) })),
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framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(2.0f, 5) })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_s8);
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}
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FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8, CLQuantizationLayerQASYMM8GenFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes,
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framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
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framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.0f, 10) })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.0f, 30) })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_u8);
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}
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TEST_SUITE_END() // QASYMM8_SIGNED
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TEST_SUITE_END() // Quantized
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TEST_SUITE_END() // QuantizationLayer
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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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