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/*
* Copyright (c) 2022 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 SRC_DYNAMIC_FUSION_RUNTIME_GPU_CL_CLKERNELRUNTIME
#define SRC_DYNAMIC_FUSION_RUNTIME_GPU_CL_CLKERNELRUNTIME
#include "src/dynamic_fusion/sketch/gpu/GpuKernelArgument.h"
#include "src/dynamic_fusion/sketch/gpu/GpuKernelSourceCode.h"
#include "src/gpu/cl/ClCompileContext.h"
#include "src/gpu/cl/IClKernel.h"
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
struct GpuKernelSourceCode;
/** OpenCL runtime to run a single kernel */
class ClKernelRuntime final : public opencl::IClKernel
{
public:
/** Configure the kernel runtime
*
* @param[in] compile_ctx OpenCL compile context
* @param[in] code Kernel source code
*/
void configure(const opencl::ClCompileContext &compile_ctx, const GpuKernelSourceCode &code);
/** Run the kernel
*
* @param[in,out] tensors @ref ITensorPack object containing run-time tensor memories
* @param[in] window Execution window
* @param[in] queue OpenCL command queue
*/
virtual void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override;
private:
/** Set a kernel tensor argument
*
* @param[in,out] idx Index at which to start adding the tensor's arguments. Will be incremented by the number of kernel arguments set.
* @param[in] arg Kernel argument descriptor accompanying @p tensor
* @param[in] tensor Tensor to set as an argument of the object's kernel
* @param[in] arg_slice Window the kernel will be run on
* @param[out] cl_images Extra cl images created from the tensor (will need to be retained until the kernel is enqueued)
*/
inline void add_tensor_argument(unsigned int &idx, const GpuKernelArgumentInfo &arg, const ICLTensor *tensor, const Window &arg_slice, std::vector<cl::Image2D> &cl_images);
private:
GpuKernelArgumentList _arguments{}; /** All kernel arguments required by the runtime */
};
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute
#endif /* SRC_DYNAMIC_FUSION_RUNTIME_GPU_CL_CLKERNELRUNTIME */
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