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/*
* Copyright (c) 2020 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_I_PORTABLE_TENSOR_H__
#define __ONERT_BACKEND_I_PORTABLE_TENSOR_H__
#include "backend/ITensor.h"
#include "ir/Sparsity.h"
namespace onert
{
namespace backend
{
/**
* @brief A tensor class that is portable for other backends
*
* Backends that use derivatives of this interface can reuse each other's tensors without copying.
* Here's criterion to be a portable tensor:
* - it must not have any paddings
* - No special operations on @c access method
* - e.g. CL memory must map/unmap to use it from CPU, the memory so it cannot be portable
*/
class IPortableTensor : public ITensor
{
public:
virtual ~IPortableTensor();
virtual const ir::Sparsity *sparsity() const { return nullptr; }
public:
bool has_padding() const final { return false; }
void access(const std::function<void(ITensor &tensor)> &fn) final { fn(*this); }
};
} // namespace backend
} // namespace onert
#endif // __ONERT_BACKEND_I_PORTABLE_TENSOR_H__
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