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/*
* Copyright (c) 2018-2019 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_STACK_LAYER_FIXTURE
#define ARM_COMPUTE_TEST_STACK_LAYER_FIXTURE
#include "arm_compute/core/Helpers.h"
#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/StackLayer.h"
#include "tests/validation/reference/Utils.h"
#include <random>
#include <vector>
namespace arm_compute
{
namespace test
{
namespace validation
{
using namespace arm_compute::misc::shape_calculator;
template <typename TensorType, typename AbstractTensorType, typename AccessorType, typename FunctionType, typename T>
class StackLayerValidationFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape shape_src, int axis, DataType data_type, int num_tensors)
{
_target = compute_target(shape_src, axis, data_type, num_tensors);
_reference = compute_reference(shape_src, axis, data_type, num_tensors);
}
protected:
template <typename U>
void fill(U &&tensor, unsigned int i)
{
library->fill_tensor_uniform(tensor, i);
}
TensorType compute_target(TensorShape shape_src, int axis, DataType data_type, int num_tensors)
{
std::vector<TensorType> tensors(num_tensors);
std::vector<AbstractTensorType *> src(num_tensors);
// Create vector of input tensors
for(int i = 0; i < num_tensors; ++i)
{
tensors[i] = create_tensor<TensorType>(shape_src, data_type);
src[i] = &(tensors[i]);
ARM_COMPUTE_EXPECT(tensors[i].info()->is_resizable(), framework::LogLevel::ERRORS);
}
// Create tensors
TensorType dst;
// The output tensor will be auto-initialized within the function
// Create and configure function
FunctionType stack;
stack.configure(src, axis, &dst);
// Allocate and fill the input tensors
for(int i = 0; i < num_tensors; ++i)
{
ARM_COMPUTE_EXPECT(tensors[i].info()->is_resizable(), framework::LogLevel::ERRORS);
tensors[i].allocator()->allocate();
ARM_COMPUTE_EXPECT(!tensors[i].info()->is_resizable(), framework::LogLevel::ERRORS);
// Fill input tensor
fill(AccessorType(tensors[i]), i);
}
// Allocate output tensor
dst.allocator()->allocate();
ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Compute stack function
stack.run();
return dst;
}
SimpleTensor<T> compute_reference(const TensorShape &shape_src, int axis, DataType data_type, int num_tensors)
{
std::vector<SimpleTensor<T>> src;
for(int i = 0; i < num_tensors; ++i)
{
src.emplace_back(std::move(SimpleTensor<T>(shape_src, data_type, 1)));
fill(src[i], i);
}
// Wrap around negative values
const unsigned int axis_u = wrap_around(axis, static_cast<int>(shape_src.num_dimensions() + 1));
const TensorShape shape_dst = compute_stack_shape(TensorInfo(shape_src, 1, data_type), axis_u, num_tensors);
return reference::stack_layer<T>(src, shape_dst, data_type, axis_u);
}
TensorType _target{};
SimpleTensor<T> _reference{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_STACK_LAYER_FIXTURE */
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