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/*
* Copyright (c) 2017 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_FLATTEN_LAYER_FIXTURE
#define ARM_COMPUTE_TEST_FLATTEN_LAYER_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/runtime/Tensor.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/reference/FlattenLayer.h"
#include <random>
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class FlattenLayerValidationFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape shape, DataType data_type)
{
_fractional_bits = is_data_type_fixed_point(data_type) ? 4 : 0;
_target = compute_target(shape, data_type);
_reference = compute_reference(shape, data_type);
ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(_target.info()->tensor_shape(), _reference.shape());
}
protected:
template <typename U>
void fill(U &&tensor)
{
if(_fractional_bits == 0)
{
std::uniform_real_distribution<> distribution(-1.f, 1.f);
library->fill(tensor, distribution, 0);
}
else
{
const int one_fixed = 1 << _fractional_bits;
std::uniform_int_distribution<> distribution(-one_fixed, one_fixed);
library->fill(tensor, distribution, 0);
}
}
TensorType compute_target(const TensorShape &shape, DataType data_type)
{
TensorShape shape_flatten(shape);
shape_flatten.collapse(3);
// Create tensors
TensorType src = create_tensor<TensorType>(shape, data_type, 1, _fractional_bits);
TensorType dst = create_tensor<TensorType>(shape_flatten, data_type, 1, _fractional_bits);
// Create and configure function
FunctionType flatten_layer;
flatten_layer.configure(&src, &dst);
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Allocate tensors
src.allocator()->allocate();
dst.allocator()->allocate();
ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Fill tensors
fill(AccessorType(src));
// Compute function
flatten_layer.run();
return dst;
}
SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type)
{
// Create reference
SimpleTensor<T> src{ shape, data_type, 1, _fractional_bits };
// Fill reference
fill(src);
return reference::flatten_layer<T>(src);
}
TensorType _target{};
SimpleTensor<T> _reference{};
int _fractional_bits{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_FLATTEN_LAYER_FIXTURE */
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