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/*
* Copyright (c) 2017-2019 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/NEON/functions/NEDequantizationLayer.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/NEON/Accessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/DatatypeDataset.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/DequantizationLayerFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 });
#else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
const auto data_types = framework::dataset::make("DataType", { DataType::F32 });
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
const auto dataset_quant_f32 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedTypes()),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataLayout", { DataLayout::NCHW }));
const auto dataset_quant_f16 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedTypes()),
framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW }));
const auto dataset_quant_asymm_signed_f32 = combine(combine(combine(datasets::SmallShapes(),
framework::dataset::make("QuantizedTypes", { DataType::QASYMM8_SIGNED })),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataLayout", { DataLayout::NCHW }));
const auto dataset_quant_asymm_signed_f16 = combine(combine(combine(datasets::SmallShapes(),
framework::dataset::make("QuantizedTypes", { DataType::QASYMM8_SIGNED })),
framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW }));
const auto dataset_quant_per_channel_f32 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedPerChannelTypes()),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
const auto dataset_quant_per_channel_f16 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedPerChannelTypes()),
framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
const auto dataset_quant_nightly_f32 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedTypes()),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataLayout", { DataLayout::NCHW }));
const auto dataset_quant_nightly_f16 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedTypes()),
framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW }));
const auto dataset_quant_per_channel_nightly_f32 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedPerChannelTypes()),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
const auto dataset_quant_per_channel_nightly_f16 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedPerChannelTypes()),
framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
const auto dataset_precommit_f16 = concat(concat(dataset_quant_f16, dataset_quant_per_channel_f16), dataset_quant_asymm_signed_f16);
const auto dataset_precommit_f32 = concat(concat(dataset_quant_f32, dataset_quant_per_channel_f32), dataset_quant_asymm_signed_f32);
const auto dataset_nightly_f16 = concat(dataset_quant_f16, dataset_quant_per_channel_f16);
const auto dataset_nightly_f32 = concat(dataset_quant_f32, dataset_quant_per_channel_f32);
} // namespace
TEST_SUITE(NEON)
TEST_SUITE(DequantizationLayer)
// *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::F32), // Wrong input data type
TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Wrong output data type
TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::QASYMM8), // Missmatching shapes
TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Valid
TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Valid
TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8_SIGNED), // Valid
}),
framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8),
TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32),
TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
})),
framework::dataset::make("Expected", { false, false, false, true, true, true })),
input_info, output_info, expected)
{
ARM_COMPUTE_EXPECT(bool(NEDequantizationLayer::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(datasets::SmallShapes(), data_types),
shape, data_type)
{
// Create tensors
Tensor src = create_tensor<Tensor>(shape, DataType::QASYMM8, 1, QuantizationInfo(0.5f, -10));
Tensor dst = create_tensor<Tensor>(shape, data_type);
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Create and configure function
NEDequantizationLayer dequant_layer;
dequant_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 NEDequantizationLayerFixture = DequantizationValidationFixture<Tensor, Accessor, NEDequantizationLayer, T>;
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEDequantizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, dataset_precommit_f16)
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEDequantizationLayerFixture<half>, framework::DatasetMode::NIGHTLY, dataset_nightly_f16)
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // FP16
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEDequantizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, dataset_precommit_f32)
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEDequantizationLayerFixture<float>, framework::DatasetMode::NIGHTLY, dataset_nightly_f32)
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // FP32
TEST_SUITE_END() // DequantizationLayer
TEST_SUITE_END() // NEON
} // namespace validation
} // namespace test
} // namespace arm_compute
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