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/*
* Copyright (c) 2019 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_EXEC_IO_DESCRIPTION_H__
#define __ONERT_EXEC_IO_DESCRIPTION_H__
#include <vector>
#include <unordered_map>
#include "ir/OperandInfo.h"
#include "ir/Index.h"
namespace onert
{
namespace exec
{
struct InputDesc
{
const ir::OperandInfo info;
const void *buffer;
const size_t size;
const ir::Layout layout;
InputDesc(void) = delete;
InputDesc(const ir::OperandInfo &info, const void *buffer, const size_t size, ir::Layout layout)
: info(info), buffer(buffer), size(size), layout(layout)
{
}
};
struct OutputDesc
{
// not `const` because shape should be modified after execution in case when output is
// a dynamic tensor
ir::OperandInfo info;
void *buffer;
const size_t size;
const ir::Layout layout;
OutputDesc(void) = delete;
OutputDesc(const ir::OperandInfo &info, void *buffer, const size_t size, ir::Layout layout)
: info(info), buffer(buffer), size(size), layout(layout)
{
}
};
struct IODescription
{
std::vector<std::unique_ptr<InputDesc>> inputs;
std::vector<std::unique_ptr<OutputDesc>> outputs;
// Contains shape of input set by nnfw_set_input_tensorinfo(..)
std::unordered_map<ir::IOIndex, ir::Shape> dynamic_input_shapes;
};
} // namespace exec
} // namespace onert
#endif // __ONERT_EXEC_IO_DESCRIPTION_H__
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