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diff --git a/src/dynamic_fusion/sketch/gpu/GpuWorkloadSketchImpl.h b/src/dynamic_fusion/sketch/gpu/GpuWorkloadSketchImpl.h
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+/*
+ * Copyright (c) 2022-2024 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 ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_GPUWORKLOADSKETCHIMPL_H
+#define ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_GPUWORKLOADSKETCHIMPL_H
+
+#include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h"
+#include "arm_compute/dynamic_fusion/sketch/MemoryDescriptor.h"
+
+#include "src/dynamic_fusion/sketch/gpu/GpuComponentServices.h"
+#include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGraph.h"
+#include "src/dynamic_fusion/sketch/gpu/GpuOperatorGroup.h"
+#include "src/dynamic_fusion/sketch/gpu/GpuWorkloadContextImpl.h"
+
+namespace arm_compute
+{
+namespace experimental
+{
+namespace dynamic_fusion
+{
+/** Internal implementation of @ref GpuWorkloadSketch */
+class GpuWorkloadSketch::Implementation
+{
+public:
+    /** Constructor
+     *
+     * @param[in] context global workload creation context
+     */
+    explicit Implementation(Context *context)
+        : _context{context}, _comp_services{}, _component_graph{_context, &_comp_services}, _operator_group{}
+    {
+    }
+    /** Prevent instances of this class from being copy constructed */
+    Implementation(const Implementation &impl) = delete;
+    /** Prevent instances of this class from being copied */
+    Implementation &operator=(const Implementation &impl) = delete;
+    /** Allow instances of this class to be move constructed */
+    Implementation(Implementation &&impl) = default;
+    /** Allow instances of this class to be moved */
+    Implementation &operator=(Implementation &&impl) = default;
+    /** Get workload context */
+    const Context *context() const
+    {
+        return _context;
+    }
+    /** Get workload context */
+    Context *context()
+    {
+        return _context;
+    }
+    /** Get component graph */
+    const GpuKernelComponentGraph &component_graph() const
+    {
+        return _component_graph;
+    }
+    /** Get component graph */
+    GpuKernelComponentGraph &component_graph()
+    {
+        return _component_graph;
+    }
+    /** Get operator group */
+    const GpuOperatorGroup &operator_group() const
+    {
+        return _operator_group;
+    }
+    /** Get operator group */
+    GpuOperatorGroup &operator_group()
+    {
+        return _operator_group;
+    }
+    /** Generate @ref GpuWorkloadSourceCode from the workload sketch
+     * @note The sketch must be valid. Any error encountered during the building of the code will be thrown.
+     *
+     * @return GpuWorkloadSourceCode  The generated workload code
+     */
+    GpuWorkloadSourceCode generate_source_code() const
+    {
+        const auto mem_map = _context->implementation().mem_map();
+        return component_graph().fuse(mem_map).write_workload_code();
+    }
+    /** Create a virtual (see @ref MemoryType) tensor info and save it
+     *
+     * @return ITensorInfo*  The created virtual tensor info object pointer
+     */
+    ITensorInfo *create_virtual_tensor()
+    {
+        return _context->implementation().create_virtual_tensor();
+    }
+    /** Create an auxiliary (see @ref MemoryType) tensor info and save it
+     *
+     * @param[in] tensor_info @ref ITensorInfo to copy from
+     *
+     * @return ITensorInfo*  The created auxiliary tensor info object pointer
+     */
+    ITensorInfo *create_auxiliary_tensor(const ITensorInfo &tensor_info)
+    {
+        return _context->implementation().create_auxiliary_tensor(tensor_info);
+    }
+
+    ITensorInfo *get_tensor_info(ITensorInfo::Id id)
+    {
+        return _context->implementation().get_tensor_info(id);
+    }
+
+private:
+    Context                *_context;
+    GpuComponentServices    _comp_services;
+    GpuKernelComponentGraph _component_graph;
+    GpuOperatorGroup        _operator_group;
+};
+} // namespace dynamic_fusion
+} // namespace experimental
+} // namespace arm_compute
+#endif // ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_GPUWORKLOADSKETCHIMPL_H