tests/validation/GLES_COMPUTE/ConvolutionLayer.cpp

/*
 * 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
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 *
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 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h"
#include "arm_compute/runtime/GLES_COMPUTE/GCTensorAllocator.h"
#include "arm_compute/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.h"
#include "tests/GLES_COMPUTE/GCAccessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/LargeConvolutionLayerDataset.h"
#include "tests/datasets/SmallConvolutionLayerDataset.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/ConvolutionLayerFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
RelativeTolerance<float>            tolerance_f32(0.00001f);              /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
constexpr float                     tolerance_num = 0.07f;                /**< Tolerance number */

/** CNN data types */
const auto CNNDataTypes = framework::dataset::make("DataType",
{
    DataType::F16,
    DataType::F32,
});
const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
{
    ActivationLayerInfo(),
    ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
    ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.5f)
});
} // namespace

TEST_SUITE(GC)
TEST_SUITE(ConvolutionLayer)

template <typename T>
using GCConvolutionLayerFixture = ConvolutionValidationFixture<GCTensor, GCAccessor, GCConvolutionLayer, T>;

TEST_SUITE(Float)
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, GCConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(),
                                                                                                                     framework::dataset::make("ReshapeWeights", { true })),
                                                                                                                     framework::dataset::make("DataType",
                                                                                                                             DataType::F16)),
                                                                                                                     framework::dataset::make("DataLayout",
                                                                                                                             DataLayout::NCHW)),
                                                                                                             ActivationFunctionsDataset))
{
    // Validate output
    validate(GCAccessor(_target), _reference, tolerance_f16, tolerance_num);
}
FIXTURE_DATA_TEST_CASE(RunLarge, GCConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(),
                                                                                                                   framework::dataset::make("ReshapeWeights", { true })),
                                                                                                                   framework::dataset::make("DataType",
                                                                                                                           DataType::F16)),
                                                                                                                   framework::dataset::make("DataLayout",
                                                                                                                           DataLayout::NCHW)),
                                                                                                           ActivationFunctionsDataset))
{
    // Validate output
    validate(GCAccessor(_target), _reference, tolerance_f16, tolerance_num);
}
TEST_SUITE_END()

TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, GCConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(),
                                                                                                                      framework::dataset::make("ReshapeWeights", { true })),
                                                                                                                      framework::dataset::make("DataType", DataType::F32)),
                                                                                                                      framework::dataset::make("DataLayout",
                                                                                                                              DataLayout::NCHW)),
                                                                                                              ActivationFunctionsDataset))
{
    // Validate output
    validate(GCAccessor(_target), _reference, tolerance_f32, tolerance_num);
}
FIXTURE_DATA_TEST_CASE(RunLarge, GCConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(),
                                                                                                                    framework::dataset::make("ReshapeWeights", { true })),
                                                                                                                    framework::dataset::make("DataType", DataType::F32)),
                                                                                                                    framework::dataset::make("DataLayout",
                                                                                                                            DataLayout::NCHW)),
                                                                                                            ActivationFunctionsDataset))
{
    // Validate output
    validate(GCAccessor(_target), _reference, tolerance_f32, tolerance_num);
}
TEST_SUITE_END()
TEST_SUITE_END()

TEST_SUITE_END()
TEST_SUITE_END()
} // namespace validation
} // namespace test
} // namespace arm_compute