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/*
* Copyright (c) 2017-2020 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/CLQuantizationLayer.h"
#include "tests/CL/CLAccessor.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/QuantizationLayerFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
constexpr AbsoluteTolerance<float> tolerance_f32(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */
constexpr AbsoluteTolerance<uint8_t> tolerance_u8(1); /**< Tolerance value for comparing reference's output against implementation's output for QASYMM8 data types */
constexpr AbsoluteTolerance<int8_t> tolerance_s8(1); /**< Tolerance value for comparing reference's output against implementation's output for QASYMM8_SIGNED data types */
constexpr AbsoluteTolerance<uint16_t> tolerance_u16(1); /**< Tolerance value for comparing reference's output against implementation's output for QASYMM16 data types */
const auto QuantizationSmallShapes = concat(datasets::Small3DShapes(), datasets::Small4DShapes());
const auto QuantizationLargeShapes = concat(datasets::Large3DShapes(), datasets::Large4DShapes());
} // namespace
TEST_SUITE(CL)
TEST_SUITE(QuantizationLayer)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Wrong output data type
TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Wrong output data type
TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::F32), // Mismatching shapes
TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Valid
}),
framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U16),
TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8),
TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8),
})),
framework::dataset::make("Expected", { false, false, false, true})),
input_info, output_info, expected)
{
ARM_COMPUTE_EXPECT(bool(CLQuantizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(QuantizationSmallShapes, framework::dataset::make("DataType", DataType::F32)), shape, data_type)
{
// Create tensors
CLTensor src = create_tensor<CLTensor>(shape, data_type);
CLTensor dst = create_tensor<CLTensor>(shape, DataType::QASYMM8);
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Create and configure function
CLQuantizationLayer quant_layer;
quant_layer.configure(&src, &dst);
// Validate valid region
const ValidRegion valid_region = shape_to_valid_region(shape);
validate(src.info()->valid_region(), valid_region);
validate(dst.info()->valid_region(), valid_region);
// Validate padding
validate(src.info()->padding(), PaddingSize());
validate(dst.info()->padding(), PaddingSize());
}
template <typename T>
using CLQuantizationLayerQASYMM8Fixture = QuantizationValidationFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint8_t>;
template <typename T>
using CLQuantizationLayerQASYMM8_SIGNEDFixture = QuantizationValidationFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, int8_t>;
template <typename T>
using CLQuantizationLayerQASYMM16Fixture = QuantizationValidationFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint16_t>;
TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8, CLQuantizationLayerQASYMM8Fixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(QuantizationSmallShapes,
framework::dataset::make("DataTypeIn", DataType::F32)),
framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8_SIGNED, CLQuantizationLayerQASYMM8_SIGNEDFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(QuantizationSmallShapes,
framework::dataset::make("DataTypeIn", DataType::F32)),
framework::dataset::make("DataTypeOut", { DataType::QASYMM8_SIGNED })),
framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunSmallQASYMM16, CLQuantizationLayerQASYMM16Fixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(QuantizationSmallShapes,
framework::dataset::make("DataTypeIn", DataType::F32)),
framework::dataset::make("DataTypeOut", { DataType::QASYMM16 })),
framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_u16);
}
FIXTURE_DATA_TEST_CASE(RunLargeQASYMM8, CLQuantizationLayerQASYMM8Fixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(QuantizationLargeShapes,
framework::dataset::make("DataTypeIn", DataType::F32)),
framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLargeQASYMM16, CLQuantizationLayerQASYMM16Fixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(QuantizationLargeShapes,
framework::dataset::make("DataTypeIn", DataType::F32)),
framework::dataset::make("DataTypeOut", { DataType::QASYMM16 })),
framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_u16);
}
TEST_SUITE_END() // FP32
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8, CLQuantizationLayerQASYMM8Fixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(QuantizationSmallShapes,
framework::dataset::make("DataTypeIn", DataType::F16)),
framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLargeQASYMM8, CLQuantizationLayerQASYMM8Fixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(QuantizationLargeShapes,
framework::dataset::make("DataTypeIn", DataType::F16)),
framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
TEST_SUITE_END() // FP16
TEST_SUITE_END() // Float
TEST_SUITE(Quantized)
template <typename T>
using CLQuantizationLayerQASYMM8GenFixture = QuantizationValidationGenericFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint8_t>;
template <typename T>
using CLQuantizationLayerQASYMM8_SIGNEDGenFixture = QuantizationValidationGenericFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, int8_t>;
template <typename T>
using CLQuantizationLayerQASYMM16GenFixture = QuantizationValidationGenericFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint16_t>;
TEST_SUITE(QASYMM8)
FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8, CLQuantizationLayerQASYMM8GenFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes,
framework::dataset::make("DataType", DataType::QASYMM8)),
framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(0.5f, 10) })),
framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(2.0f, 15) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_u8);
}
FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8_SIGNED, CLQuantizationLayerQASYMM8_SIGNEDGenFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes,
framework::dataset::make("DataTypeIn", DataType::QASYMM8)),
framework::dataset::make("DataTypeOut", { DataType::QASYMM8_SIGNED })),
framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.0f, 10) })),
framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.0f, 15) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_s8);
}
FIXTURE_DATA_TEST_CASE(RunSmallQASYMM16, CLQuantizationLayerQASYMM16GenFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes,
framework::dataset::make("DataTypeIn", DataType::QASYMM8)),
framework::dataset::make("DataTypeOut", { DataType::QASYMM16 })),
framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.0f, 10) })),
framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(4.0f, 23) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_u16);
}
TEST_SUITE_END() // QASYMM8
TEST_SUITE(QASYMM8_SIGNED)
FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8_SIGNED, CLQuantizationLayerQASYMM8_SIGNEDGenFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes,
framework::dataset::make("DataTypeIn", DataType::QASYMM8_SIGNED)),
framework::dataset::make("DataTypeOut", { DataType::QASYMM8_SIGNED })),
framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.0f, 10) })),
framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(2.0f, 5) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_s8);
}
FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8, CLQuantizationLayerQASYMM8GenFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes,
framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.0f, 10) })),
framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.0f, 30) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_u8);
}
TEST_SUITE_END() // QASYMM8_SIGNED
TEST_SUITE_END() // Quantized
TEST_SUITE_END() // QuantizationLayer
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute
|
