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/*
* Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef __ONERT_BACKEND_GPU_CL_OPERAND_CL_TENSOR_H__
#define __ONERT_BACKEND_GPU_CL_OPERAND_CL_TENSOR_H__
#include "ICLTensor.h"
#include "tensorflow/lite/delegates/gpu/cl/buffer.h"
#include "tensorflow/lite/delegates/gpu/cl/cl_context.h"
#include "tensorflow/lite/delegates/gpu/cl/tensor.h"
namespace onert
{
namespace backend
{
namespace gpu_cl
{
namespace operand
{
class CLTensor : public ICLTensor
{
public:
CLTensor() = delete;
public:
CLTensor(size_t rank, TensorType type, tflite::gpu::BHWC shape,
tflite::gpu::TensorDescriptor desc);
public:
const tflite::gpu::cl::Tensor *handle() const override;
tflite::gpu::cl::Tensor *handle() override;
public:
/** Set given buffer as the buffer of the tensor
*
* @note Ownership of the memory is not transferred to this object.
* Thus management (allocate/free) should be done by the client.
*
* @param[in] host_ptr Storage to be used.
*/
void setBuffer(void *host_ptr);
private:
std::shared_ptr<tflite::gpu::cl::Tensor> _tensor;
};
} // namespace operand
} // namespace gpu_cl
} // namespace backend
} // namespace onert
#endif // __ONERT_BACKEND_GPU_CL_OPERAND_CL_TENSOR_H__
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