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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_COLOR_CONVERT_FIXTURE
#define ARM_COMPUTE_TEST_COLOR_CONVERT_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/Globals.h"
#include "tests/Utils.h"
#include "tests/framework/Fixture.h"
namespace arm_compute
{
namespace test
{
namespace benchmark
{
template <typename MultiImageType, typename TensorType, typename AccessorType, typename FunctionType>
class ColorConvertFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape input_shape, Format src_format, Format dst_format)
{
_src_num_planes = num_planes_from_format(src_format);
_dst_num_planes = num_planes_from_format(dst_format);
TensorShape dst_shape = adjust_odd_shape(input_shape, src_format);
dst_shape = adjust_odd_shape(dst_shape, dst_format);
// Create tensors
ref_src = create_multi_image<MultiImageType>(dst_shape, src_format);
ref_dst = create_multi_image<MultiImageType>(dst_shape, dst_format);
if(1U == _src_num_planes)
{
const TensorType *plane_src = static_cast<TensorType *>(ref_src.plane(0));
if(1U == _dst_num_planes)
{
TensorType *plane_dst = static_cast<TensorType *>(ref_dst.plane(0));
colorconvert_func.configure(plane_src, plane_dst);
}
else
{
colorconvert_func.configure(plane_src, &ref_dst);
}
}
else
{
if(1U == _dst_num_planes)
{
TensorType *plane_dst = static_cast<TensorType *>(ref_dst.plane(0));
colorconvert_func.configure(&ref_src, plane_dst);
}
else
{
colorconvert_func.configure(&ref_src, &ref_dst);
}
}
// Allocate tensors
ref_src.allocate();
ref_dst.allocate();
// Fill tensor planes
for(unsigned int plane_idx = 0; plane_idx < _src_num_planes; ++plane_idx)
{
TensorType *src_plane = static_cast<TensorType *>(ref_src.plane(plane_idx));
fill(AccessorType(*src_plane), plane_idx);
}
}
void run()
{
colorconvert_func.run();
}
void sync()
{
sync_if_necessary<TensorType>();
for(unsigned int plane_idx = 0; plane_idx < _dst_num_planes; ++plane_idx)
{
TensorType *dst_plane = static_cast<TensorType *>(ref_dst.plane(plane_idx));
sync_tensor_if_necessary<TensorType>(*dst_plane);
}
}
void teardown()
{
for(unsigned int plane_idx = 0; plane_idx < _src_num_planes; ++plane_idx)
{
TensorType *src_plane = static_cast<TensorType *>(ref_src.plane(plane_idx));
src_plane->allocator()->free();
}
for(unsigned int plane_idx = 0; plane_idx < _dst_num_planes; ++plane_idx)
{
TensorType *dst_plane = static_cast<TensorType *>(ref_dst.plane(plane_idx));
dst_plane->allocator()->free();
}
}
protected:
template <typename U>
void fill(U &&tensor, int i)
{
library->fill_tensor_uniform(tensor, i);
}
private:
MultiImageType ref_src{};
MultiImageType ref_dst{};
FunctionType colorconvert_func{};
unsigned int _src_num_planes{};
unsigned int _dst_num_planes{};
};
} // namespace benchmark
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_COLOR_CONVERT_FIXTURE */
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