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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.
*/
#ifndef ARM_COMPUTE_TEST_LOCALLY_CONNECTED_FIXTURE
#define ARM_COMPUTE_TEST_LOCALLY_CONNECTED_FIXTURE
#include "arm_compute/core/Error.h"
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/IAccessor.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/Helpers.h"
#include "tests/validation/reference/LocallyConnected.h"
#include "tests/validation/reference/Utils.h"
#include <random>
namespace arm_compute
{
class NELocallyConnected;
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class LocallyConnectedValidationFixture : public framework::Fixture
{
public:
using TBias = typename std::conditional<std::is_same<typename std::decay<T>::type, uint8_t>::value, int32_t, T>::type;
public:
template <typename...>
void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation, DataType data_type)
{
ARM_COMPUTE_UNUSED(dilation);
_data_type = data_type;
_bias_data_type = data_type;
_target = compute_target(input_shape, weights_shape, bias_shape, output_shape, info);
_reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, info);
}
protected:
template <typename U>
void fill(U &&tensor, int i)
{
std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
library->fill(tensor, distribution, i);
}
TensorType compute_target(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, const PadStrideInfo &info)
{
TensorShape reshaped_weights_shape(weights_shape);
// Create tensors
TensorType src = create_tensor<TensorType>(input_shape, _data_type);
TensorType weights = create_tensor<TensorType>(reshaped_weights_shape, _data_type);
TensorType bias = create_tensor<TensorType>(bias_shape, _bias_data_type);
TensorType dst = create_tensor<TensorType>(output_shape, _data_type);
// Create and configure function
FunctionType locally_connected;
locally_connected.configure(&src, &weights, &bias, &dst, info);
// Allocate tensors
src.allocator()->allocate();
weights.allocator()->allocate();
bias.allocator()->allocate();
dst.allocator()->allocate();
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);
// Fill tensors
fill(AccessorType(src), 0);
fill(AccessorType(weights), 1);
fill(AccessorType(bias), 2);
locally_connected.run();
return dst;
}
SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, const PadStrideInfo &info)
{
// Create reference
SimpleTensor<T> src(input_shape, _data_type);
SimpleTensor<T> weights(weights_shape, _data_type);
SimpleTensor<TBias> bias(bias_shape, _bias_data_type);
// Fill reference
fill(src, 0);
fill(weights, 1);
fill(bias, 2);
return reference::locally_connected<T>(src, weights, bias, output_shape, info);
}
TensorType _target{};
SimpleTensor<T> _reference{};
DataType _data_type{};
DataType _bias_data_type{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_LOCALLY_CONNECTED_FIXTURE */
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