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/*
* Copyright (c) 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_UNSTACK_FIXTURE
#define ARM_COMPUTE_TEST_UNSTACK_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.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/Unstack.h"
#include <random>
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename ITensorType, typename AccessorType, typename FunctionType, typename T>
class UnstackValidationFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape input_shape, int axis, int num, DataType data_type)
{
_target = compute_target(input_shape, axis, num, data_type);
_reference = compute_reference(input_shape, axis, num, data_type);
}
protected:
template <typename U>
void fill(U &&tensor, int i)
{
library->fill_tensor_uniform(tensor, i);
}
std::vector<TensorType> compute_target(TensorShape input_shape, int axis, unsigned int num, DataType data_type)
{
TensorType input_tensor = create_tensor<TensorType>(input_shape, data_type);
const unsigned int axis_u = wrap_around(axis, static_cast<int>(input_shape.num_dimensions()));
const unsigned int axis_size = input_shape[axis_u];
const unsigned int num_slices = std::min(num, axis_size);
std::vector<TensorType> output_slices(num_slices);
std::vector<ITensorType *> output_ptrs(num_slices);
for(size_t k = 0; k < num_slices; ++k)
{
output_ptrs[k] = &output_slices[k];
}
// Create and configure function
FunctionType unstack;
unstack.configure(&input_tensor, output_ptrs, axis);
// Allocate tensors
for(auto &out : output_slices)
{
out.allocator()->allocate();
ARM_COMPUTE_EXPECT(!out.info()->is_resizable(), framework::LogLevel::ERRORS);
}
input_tensor.allocator()->allocate();
ARM_COMPUTE_EXPECT(!input_tensor.info()->is_resizable(), framework::LogLevel::ERRORS);
fill(AccessorType(input_tensor), 0);
// Compute function
unstack.run();
return output_slices;
}
std::vector<SimpleTensor<T>> compute_reference(TensorShape input_shape, int axis, unsigned int num, DataType data_type)
{
const unsigned int axis_u = wrap_around(axis, static_cast<int>(input_shape.num_dimensions()));
const unsigned int axis_size = input_shape[axis_u];
const unsigned int num_output_tensors = (num == 0) ? axis_size : std::min(axis_size, num);
// create and fill input tensor
SimpleTensor<T> input_tensor{ input_shape, data_type };
fill(input_tensor, 0);
// create output tensors
const TensorShape slice_shape = arm_compute::misc::shape_calculator::calculate_unstack_shape(input_shape, axis_u);
std::vector<SimpleTensor<T>> output_tensors(num_output_tensors);
for(size_t k = 0; k < num_output_tensors; ++k)
{
output_tensors[k] = SimpleTensor<T>(slice_shape, data_type);
}
return reference::unstack<T>(input_tensor, output_tensors, axis);
}
std::vector<TensorType> _target{};
std::vector<SimpleTensor<T>> _reference{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_UNSTACK_FIXTURE */
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