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+/*
+ * Copyright (c) 2021, 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_GPU_CL_UTILS_CLAUXTENSORHANDLER_H
+#define ACL_SRC_GPU_CL_UTILS_CLAUXTENSORHANDLER_H
+
+#include "arm_compute/core/ITensorPack.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+
+#include "src/common/utils/Log.h"
+#include "support/Cast.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+/** Tensor handler to wrap and handle tensor allocations on workspace buffers
+ *
+ * @note About memory handling using bypass_* flags
+ * See @ref arm_compute::cpu::CpuAuxTensorHandler
+ */
+class CLAuxTensorHandler
+{
+public:
+ /** Create a temporary tensor handle, by either important an existing tensor from a tensor pack, or allocating a
+ * new one.
+ *
+ * @param[in] slot_id Slot id of the tensor to be retrieved in the tensor pack
+ * If no such tensor exists in the tensor pack, a new tensor will be allocated.
+ * @param[in] info Tensor info containing requested size of the new tensor.
+ * If requested size is larger than the tensor retrieved from the tensor pack,
+ * a new tensor will be allocated.
+ * @param[in,out] pack Tensor pack to retrieve the old tensor. When @p pack_inject is true, the new
+ * tensor will also be added here.
+ * @param[in] pack_inject In case of a newly allocated tensor, whether to add this tensor back to the
+ * @p pack
+ * @param[in] bypass_alloc Bypass allocation in case of a new tensor
+ * This is to prevent unnecessary memory operations when the handler object is not
+ * used
+ * @param[in] bypass_import Bypass importation in case of a retrieved tensor
+ * This is to prevent unnecessary memory operations when the handler object is not
+ * used
+ */
+ CLAuxTensorHandler(int slot_id,
+ TensorInfo &info,
+ ITensorPack &pack,
+ bool pack_inject = false,
+ bool bypass_alloc = false,
+ bool bypass_import = false)
+ : _tensor()
+ {
+ if (info.total_size() == 0)
+ {
+ return;
+ }
+ _tensor.allocator()->soft_init(info);
+
+ ICLTensor *packed_tensor = utils::cast::polymorphic_downcast<ICLTensor *>(pack.get_tensor(slot_id));
+ if ((packed_tensor == nullptr) || (info.total_size() > packed_tensor->info()->total_size()))
+ {
+ if (!bypass_alloc)
+ {
+ _tensor.allocator()->allocate();
+ ARM_COMPUTE_LOG_INFO_WITH_FUNCNAME_ACL("Allocating auxiliary tensor");
+ }
+
+ if (pack_inject)
+ {
+ pack.add_tensor(slot_id, &_tensor);
+ _injected_tensor_pack = &pack;
+ _injected_slot_id = slot_id;
+ }
+ }
+ else
+ {
+ if (!bypass_import)
+ {
+ _tensor.allocator()->import_memory(packed_tensor->cl_buffer());
+ }
+ }
+ }
+
+ /** Create a temporary handle to the original tensor with a new @ref TensorInfo
+ * This is useful if we want to change a tensor's tensor info at run time without modifying the original tensor
+ *
+ * @param[in] info New tensor info to "assign" to @p tensor
+ * @param[in] tensor Tensor to be assigned a new @ref TensorInfo
+ * @param[in] bypass_import Bypass importing @p tensor's memory into the handler.
+ * This is to prevent unnecessary memory operations when the handler object is not used
+ */
+ CLAuxTensorHandler(TensorInfo &info, ICLTensor &tensor, bool bypass_import = false) : _tensor()
+ {
+ _tensor.allocator()->soft_init(info);
+ if (!bypass_import)
+ {
+ ARM_COMPUTE_ERROR_ON(tensor.info() == nullptr);
+ if (info.total_size() <= tensor.info()->total_size())
+ {
+ _tensor.allocator()->import_memory(tensor.cl_buffer());
+ }
+ }
+ }
+
+ CLAuxTensorHandler(const CLAuxTensorHandler &) = delete;
+ CLAuxTensorHandler &operator=(const CLAuxTensorHandler) = delete;
+
+ ~CLAuxTensorHandler()
+ {
+ if (_injected_tensor_pack)
+ {
+ _injected_tensor_pack->remove_tensor(_injected_slot_id);
+ }
+ }
+
+ ICLTensor *get()
+ {
+ return &_tensor;
+ }
+
+ ICLTensor *operator()()
+ {
+ return &_tensor;
+ }
+
+private:
+ CLTensor _tensor{};
+ ITensorPack *_injected_tensor_pack{nullptr};
+ int _injected_slot_id{TensorType::ACL_UNKNOWN};
+};
+} // namespace opencl
+} // namespace arm_compute
+#endif // ACL_SRC_GPU_CL_UTILS_CLAUXTENSORHANDLER_H