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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 ARM_COMPUTE_DYNAMIC_FUSION_RUNTIME_GPU_CL_CLWORKLOADRUNTIME
#define ARM_COMPUTE_DYNAMIC_FUSION_RUNTIME_GPU_CL_CLWORKLOADRUNTIME
#include "arm_compute/dynamic_fusion/sketch/MemoryDescriptor.h"
#include <map>
#include <memory>
namespace arm_compute
{
/** Forward declaration */
class CLTensor;
namespace experimental
{
namespace dynamic_fusion
{
/** Forward declaration */
class GpuWorkloadSketch;
/** OpenCL runtime to run a workload
*/
class ClWorkloadRuntime
{
public:
ClWorkloadRuntime();
~ClWorkloadRuntime();
/** Configure @ref ClWorkloadRuntime
* @note A runtime cannot be re-configured
*
* @param[in] sketch @ref GpuWorkloadSketch with which to configure
*/
Status configure(const GpuWorkloadSketch &sketch);
/** Perform run workload
* @note If the runtime is not configured, this method will not perform any action
*
* @param[in,out] tensors Tensors required by the run workloads
*
* @return Status If the run is successful
*/
Status run(const std::vector<CLTensor *> &tensors);
/** Get auxiliary tensors of the workload and their memory requirement
*/
std::vector<std::pair<CLTensor *, AuxMemoryInfo>> get_auxiliary_tensors();
private:
/** Enqueue prepare workload
* @note If the runtime is not configured, this method will not perform any action
*/
void prepare();
struct Implementation;
std::unique_ptr<Implementation> _impl;
};
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute
#endif /* ARM_COMPUTE_DYNAMIC_FUSION_RUNTIME_GPU_CL_CLWORKLOADRUNTIME */
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