arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h

/*
 * Copyright (c) 2022-2023 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
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 * 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
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 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */
#ifndef ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_GPU_GPUWORKLOADSKETCH
#define ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_GPU_GPUWORKLOADSKETCH

#include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadContext.h"

#include <memory>

namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
/** A descriptor of a workload of operators
 *
 * A "workload" is a basic unit of computation to schedule and perform. It contains one or more operators that can be "fused" together.
 * Note that a workload may still contain multiple kernels.
 */
class GpuWorkloadSketch
{
public:
    /** Global context used for the creation of a workload */
    using Context = GpuWorkloadContext;
    /** Internal opaque implementation */
    class Implementation;

public:
    /** Constructor
     *
     * @param[in] context Gpu context for the creation of a workload
     */
    explicit GpuWorkloadSketch(GpuWorkloadContext *context);
    /** Destructor */
    ~GpuWorkloadSketch();
    /** Get the implementation */
    Implementation &implementation();
    /** Get the implementation */
    const Implementation &implementation() const;
    /** Get the gpu workload context of this sketch */
    const GpuWorkloadContext *gpu_context() const;

private:
    std::unique_ptr<Implementation> _impl; /**< Internal opaque implementation*/
};

} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute
#endif /* ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_GPU_GPUWORKLOADSKETCH */