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/*
* Copyright (c) 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_FILL_FIXTURE
#define ARM_COMPUTE_TEST_FILL_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/IAccessor.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class FillFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape input_shape, DataType data_type)
{
_target = compute_target(input_shape, data_type);
_reference = compute_reference(input_shape, data_type);
}
protected:
TensorType compute_target(const TensorShape &input_shape, DataType data_type)
{
// Create tensors
TensorType input = create_tensor<TensorType>(input_shape, data_type);
// Allocate tensors
input.allocator()->allocate();
// Fill tensor with an initial value
library->fill_tensor_uniform(AccessorType(input), 0);
// Create and configure function
FunctionType fill;
const T constant_value {1};
fill.configure(&input, constant_value);
// Compute function with a distinct, second value
fill.run();
return input;
}
SimpleTensor<T> compute_reference(const TensorShape &input_shape, DataType data_type)
{
// Create reference
SimpleTensor<T> input{ input_shape, data_type };
// Fill tensor
const T constant_value {1};
for(int i = 0; i < input.num_elements(); ++i)
{
input[i] = constant_value;
}
return input;
}
TensorType _target{};
SimpleTensor<T> _reference{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_FILL_FIXTURE */
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