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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_SKETCH_GPU_GPUWORKLOADSKETCH
+#define ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_GPU_GPUWORKLOADSKETCH
+
+#include "arm_compute/core/TensorInfo.h"
+#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;
+ /** Create a @ref TensorInfo associated with the workload sketch.
+ *
+ * @return TensorInfo Newly created tensor info
+ */
+ template <typename... Args>
+ TensorInfo create_tensor_info(Args &&... args)
+ {
+ auto tensor_info = TensorInfo(std::forward<Args>(args)...);
+ tensor_info.set_id(allocate_new_tensor_id());
+ return tensor_info;
+ }
+ /** Create a @ref TensorInfo associated with the workload sketch by copying from an existing tensor info
+ * @note The newly copied tensor will have a different identity within the workload than the one copied from
+ * To copy the identity of @p tensor_info as well, use @ref TensorInfo 's copy constructors instead
+ *
+ * @param[in] tensor_info @ref ITensorInfo to copy from
+ *
+ * @return TensorInfo Newly created tensor info
+ */
+ TensorInfo create_tensor_info(const ITensorInfo &tensor_info);
+ /** Create a default @ref TensorInfo associated with the workload sketch
+ * It is usually used by a destination tensor whose @ref ITensorInfo is to be inferred automatically
+ *
+ * @return TensorInfo Newly created tensor info
+ */
+ TensorInfo create_tensor_info();
+
+private:
+ ITensorInfo::Id allocate_new_tensor_id();
+ std::unique_ptr<Implementation> _impl; /**< Internal opaque implementation*/
+};
+
+} // namespace dynamic_fusion
+} // namespace experimental
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_GPU_GPUWORKLOADSKETCH */