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/*
* Copyright (c) 2017-2020 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_CL_HELPER_H
#define ARM_COMPUTE_TEST_CL_HELPER_H
#include "arm_compute/core/CL/ICLKernel.h"
#include "arm_compute/core/CL/kernels/CLFillBorderKernel.h"
#include "arm_compute/core/CL/kernels/CLMemsetKernel.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
#include "arm_compute/runtime/IFunction.h"
#include "support/MemorySupport.h"
namespace arm_compute
{
namespace test
{
/** This template synthetizes an ICLSimpleFunction which runs the given kernel K */
template <typename K>
class CLSynthetizeFunction : public ICLSimpleFunction
{
public:
/** Configure the kernel.
*
* @param[in] args Configuration arguments.
*/
template <typename... Args>
void configure(Args &&... args)
{
auto k = arm_compute::support::cpp14::make_unique<K>();
k->configure(std::forward<Args>(args)...);
_kernel = std::move(k);
}
/** Configure the kernel setting the GPU target as well
*
* @param[in] gpu_target GPUTarget to set
* @param[in] args Configuration arguments.
*/
template <typename... Args>
void configure(GPUTarget gpu_target, Args &&... args)
{
auto k = arm_compute::support::cpp14::make_unique<K>();
k->set_target(gpu_target);
k->configure(std::forward<Args>(args)...);
_kernel = std::move(k);
}
/** Validate input arguments
*
* @param[in] args Configuration arguments.
*/
template <typename... Args>
static Status validate(Args &&... args)
{
return K::validate(std::forward<Args>(args)...);
}
};
/** As above but this also setups a Zero border on the input tensor of the specified bordersize */
template <typename K, int bordersize>
class CLSynthetizeFunctionWithZeroConstantBorder : public ICLSimpleFunction
{
public:
/** Configure the kernel.
*
* @param[in] first First configuration argument.
* @param[in] args Rest of the configuration arguments.
*/
template <typename T, typename... Args>
void configure(T first, Args &&... args)
{
auto k = arm_compute::support::cpp14::make_unique<K>();
k->configure(first, std::forward<Args>(args)...);
_kernel = std::move(k);
_border_handler.configure(first, BorderSize(bordersize), BorderMode::CONSTANT, PixelValue());
}
};
/** As above but this also initializes to zero the input tensor */
template <typename K, int bordersize>
class CLSynthetizeFunctionInitOutputWithZeroAndWithZeroConstantBorder : public IFunction
{
public:
/** Configure the kernel.
*
* @param[in] first First input argument.
* @param[in] second Second input argument.
* @param[in] args Rest of the configuration arguments.
*/
template <typename T, typename... Args>
void configure(T first, T second, Args &&... args)
{
auto k = arm_compute::support::cpp14::make_unique<K>();
k->set_target(CLScheduler::get().target());
k->configure(first, second, std::forward<Args>(args)...);
_kernel = std::move(k);
_border_handler.configure(first, BorderSize(bordersize), BorderMode::CONSTANT, PixelValue());
_memset_kernel.configure(second, PixelValue());
}
// Inherited method overridden:
void run() override final
{
ARM_COMPUTE_ERROR_ON_MSG(!_kernel, "The CL kernel or function isn't configured");
CLScheduler::get().enqueue(_memset_kernel, false);
CLScheduler::get().enqueue(_border_handler, false);
CLScheduler::get().enqueue(*_kernel);
}
private:
CLMemsetKernel _memset_kernel{}; /**< Kernel to initialize the tensor */
CLFillBorderKernel _border_handler{}; /**< Kernel to handle borders */
std::unique_ptr<ICLKernel> _kernel{}; /**< Kernel to run */
};
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_CL_HELPER_H */
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