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diff --git a/arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadContext.h b/arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadContext.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_ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_GPU_GPUWORKLOADCONTEXT_H
+#define ACL_ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_GPU_GPUWORKLOADCONTEXT_H
+
+#include "arm_compute/core/GPUTarget.h"
+#include "arm_compute/core/TensorInfo.h"
+
+#include <memory>
+
+namespace arm_compute
+{
+/** Forward declaration */
+class CLCompileContext;
+namespace experimental
+{
+namespace dynamic_fusion
+{
+/** Gpu Information such as the Gpu target (for example, G76) */
+using GpuTarget = ::arm_compute::GPUTarget;
+
+/** Gpu Language */
+enum class GpuLanguage
+{
+    OpenCL,
+    Unknown
+};
+/** Provide context necessary for the creation and configuration of a workload
+ * e.g. gpu targets and capabilities, cl::Device for querying OpenCl extensions. Both can affect how a kernel is generated
+ *
+ * This context is shared between different operators within a sketch, and has to stay valid for the entire workload creation session.
+ * This context may also be shared between different sketches.
+ *
+ * This class only contains information for workload creation, but not for runtime (e.g. cl::Queue for enqueueing the kernels)
+ */
+class GpuWorkloadContext
+{
+public:
+    class Impl;
+
+    /** Constructor */
+    GpuWorkloadContext(CLCompileContext *cl_compile_context);
+    /** Destructor */
+    ~GpuWorkloadContext();
+    /** Prohibit instances of this class to be copy constructed */
+    GpuWorkloadContext(const GpuWorkloadContext &config) = delete;
+    /** Prohibit instances of this class to be copied */
+    GpuWorkloadContext &operator=(const GpuWorkloadContext &config) = delete;
+    /** Allow instances of this class to be move constructed */
+    GpuWorkloadContext(GpuWorkloadContext &&config);
+    /** Allow instances of this class to be moved */
+    GpuWorkloadContext &operator=(GpuWorkloadContext &&config);
+    /** Get @ref GpuLanguage of the context */
+    GpuLanguage gpu_language() const;
+    /** Get @ref GpuTarget of the context */
+    GpuTarget gpu_target() const;
+    /** Get @ref CLCompileContext
+     * If the gpu language is not OpenCL, then return nullptr
+     */
+    const CLCompileContext *cl_compile_context() const;
+
+    /** Create a @ref TensorInfo associated with the workload context.
+     *
+     * @return TensorInfo Newly created tensor info
+     */
+    template <typename... TArgs>
+    ITensorInfo *create_tensor_info(TArgs &&...args)
+    {
+        auto  tensor_info     = std::make_unique<TensorInfo>(std::forward<TArgs>(args)...);
+        auto *tensor_info_ptr = tensor_info.get();
+
+        register_user_tensor(std::move(tensor_info));
+
+        return tensor_info_ptr;
+    }
+
+    /** Get the internal implementation */
+    Impl &implementation();
+
+    /** Get the internal implementation */
+    const Impl &implementation() const;
+
+private:
+    /** Set a new ID to the tensor info and register its memory descriptor to the context.
+     *
+     * The ownership of the tensor info object will be transfered to this context object.
+     *
+     * @param[in] tensor_info @ref TensorInfo to be registered.
+     */
+    void register_user_tensor(std::unique_ptr<TensorInfo> &&tensor_info);
+
+    /** Internal implementation */
+    std::unique_ptr<Impl> _impl;
+};
+
+} // namespace dynamic_fusion
+} // namespace experimental
+} // namespace arm_compute
+
+#endif // ACL_ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_GPU_GPUWORKLOADCONTEXT_H