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/*
* Copyright (c) 2017-2018 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/NEFullyConnectedLayer.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/FullyConnectedLayerDataset.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/FullyConnectedLayerFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
/** Tolerance for float operations */
constexpr RelativeTolerance<float> tolerance_f32(0.01f);
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
constexpr RelativeTolerance<float> tolerance_f16(0.01f);
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC*/
/** CNN data types */
const auto CNNDataTypes = framework::dataset::make("DataType",
{
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
DataType::F16,
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
DataType::F32,
});
const auto FullyConnectedParameters = combine(framework::dataset::make("TransposeWeights", { false, true }), framework::dataset::make("ReshapeWeights", { false, true }));
} // namespace
TEST_SUITE(NEON)
TEST_SUITE(FullyConnectedLayer)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallFullyConnectedLayerDataset(), datasets::LargeFullyConnectedLayerDataset()),
FullyConnectedParameters),
CNNDataTypes),
src_shape, weights_shape, bias_shape, dst_shape, transpose_weights, reshape_weights, data_type)
{
TensorShape ws(weights_shape);
// Transpose weights if not done in the function
if(!reshape_weights || !transpose_weights)
{
const size_t shape_x = ws.x();
ws.set(0, ws.y());
ws.set(1, shape_x);
// Weights have to be passed reshaped
// Transpose 1xW for batched version
if(!reshape_weights && dst_shape.y() > 1)
{
const float transpose_width = 16.0f / data_size_from_type(data_type);
const size_t shape_x = ws.x();
ws.set(0, ws.y() * static_cast<unsigned int>(transpose_width));
ws.set(1, static_cast<unsigned int>(std::ceil(shape_x / transpose_width)));
}
}
// Create tensors
Tensor src = create_tensor<Tensor>(src_shape, data_type, 1);
Tensor weights = create_tensor<Tensor>(ws, data_type, 1);
Tensor bias = create_tensor<Tensor>(bias_shape, data_type, 1);
Tensor dst = create_tensor<Tensor>(dst_shape, data_type, 1);
ARM_COMPUTE_EXPECT(src.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);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Create and configure function.
NEFullyConnectedLayer fc;
fc.configure(&src, &weights, &bias, &dst, transpose_weights, !reshape_weights);
// Validate valid region
const ValidRegion dst_valid_region = shape_to_valid_region(dst_shape);
validate(dst.info()->valid_region(), dst_valid_region);
}
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(
framework::dataset::make("InputInfo", { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), // Mismatching data types
TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32),
TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32),
TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), // Invalid weights dimensions
TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), // Wrongly reshaped weights
TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32),
}),
framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16),
TensorInfo(TensorShape(192U, 192U), 1, DataType::F32),
TensorInfo(TensorShape(192U, 192U), 1, DataType::F32),
TensorInfo(TensorShape(217U, 315U), 1, DataType::F32),
TensorInfo(TensorShape(217U, 315U), 1, DataType::F32),
TensorInfo(TensorShape(192U, 192U), 1, DataType::F32),
})),
framework::dataset::make("BiasInfo",{ TensorInfo(TensorShape(271U), 1, DataType::F32),
TensorInfo(TensorShape(192U), 1, DataType::F32),
TensorInfo(TensorShape(192U), 1, DataType::F32),
TensorInfo(TensorShape(271U), 1, DataType::F32),
TensorInfo(TensorShape(271U), 1, DataType::F32),
TensorInfo(TensorShape(192U), 1, DataType::F32),
})),
framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32),
TensorInfo(TensorShape(192U, 4U), 1, DataType::F32),
TensorInfo(TensorShape(192U, 4U), 1, DataType::F32),
TensorInfo(TensorShape(271U, 3U), 1, DataType::F32),
TensorInfo(TensorShape(271U, 3U), 1, DataType::F32),
TensorInfo(TensorShape(192U, 4U), 1, DataType::F32),
})),
framework::dataset::make("TransposeWeights",{ true, true, false, true, true, true })),
framework::dataset::make("ReshapedWeights",{ false, false, false, false, false , false})),
framework::dataset::make("Expected", { false, true, true, false, false, true })),
input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)
{
Status status = NEFullyConnectedLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &bias_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), transpose_weights, reshaped_weights);
ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
template <typename T>
using NEFullyConnectedLayerFixture = FullyConnectedLayerValidationFixture<Tensor, Accessor, NEFullyConnectedLayer, T, true>;
TEST_SUITE(Float)
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEFullyConnectedLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(),
FullyConnectedParameters),
framework::dataset::make("DataType", DataType::F16)))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEFullyConnectedLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(),
FullyConnectedParameters),
framework::dataset::make("DataType", DataType::F16)))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_f16);
}
TEST_SUITE_END()
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEFullyConnectedLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters),
framework::dataset::make("DataType", DataType::F32)))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEFullyConnectedLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters),
framework::dataset::make("DataType", DataType::F32)))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_f32);
}
TEST_SUITE_END()
TEST_SUITE_END()
TEST_SUITE_END()
TEST_SUITE_END()
} // namespace validation
} // namespace test
} // namespace arm_compute
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