tests/validation/NEON/DepthwiseConvolution.cpp

/*
 * Copyright (c) 2017 ARM Limited.
 *
 * SPDX-License-Identifier: MIT
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
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 * deal in the Software without restriction, including without limitation the
 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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 * 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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 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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 * SOFTWARE.
 */
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.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/DepthwiseConvolutionDataset.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/DepthwiseConvolutionFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
constexpr RelativeTolerance<float> tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
} // namespace

TEST_SUITE(NEON)
TEST_SUITE(DepthwiseConvolutionLayer)

DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionDataset3x3(), datasets::LargeDepthwiseConvolutionDataset3x3()),
                                                                   framework::dataset::make("DataType", DataType::F32)),
               input_shape, weights_shape, bias_shape, output_shape, info, data_type)
{
    // Create tensors
    Tensor src     = create_tensor<Tensor>(input_shape, data_type);
    Tensor dst     = create_tensor<Tensor>(output_shape, data_type);
    Tensor weights = create_tensor<Tensor>(weights_shape, data_type);
    Tensor bias    = create_tensor<Tensor>(bias_shape, data_type);

    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
    ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS);
    ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS);

    // Create and configure function
    NEDepthwiseConvolution3x3 depthwise_layer;
    depthwise_layer.configure(&src, &weights, &bias, &dst, info);

    // Validate valid region
    const ValidRegion input_valid_region   = shape_to_valid_region(input_shape);
    const ValidRegion output_valid_region  = shape_to_valid_region(output_shape);
    const ValidRegion weights_valid_region = shape_to_valid_region(weights_shape);
    const ValidRegion bias_valid_region    = shape_to_valid_region(bias_shape);

    validate(src.info()->valid_region(), input_valid_region);
    validate(dst.info()->valid_region(), output_valid_region);
    validate(weights.info()->valid_region(), weights_valid_region);
    validate(bias.info()->valid_region(), bias_valid_region);

    // Validate padding
    const int         step    = 16 >> info.stride().first;
    const PaddingSize padding = PaddingCalculator(output_shape.x(), step).required_padding();
    validate(dst.info()->padding(), padding);
}

template <typename T>
using NEDepthwiseConvolutionFixture3x3 = DepthwiseConvolutionValidationFixture<Tensor, Accessor, NEDepthwiseConvolution3x3, T>;

TEST_SUITE(Float)
TEST_SUITE(F32)
TEST_SUITE(W3x3)
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionFixture3x3<float>, framework::DatasetMode::ALL, combine(datasets::SmallDepthwiseConvolutionDataset3x3(), framework::dataset::make("DataType",
                                                                                                               DataType::F32)))
{
    validate(Accessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionFixture3x3<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeDepthwiseConvolutionDataset3x3(), framework::dataset::make("DataType",
                                                                                                                   DataType::F32)))
{
    validate(Accessor(_target), _reference, tolerance_f32);
}
TEST_SUITE_END()
TEST_SUITE_END()
TEST_SUITE_END()

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