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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 __MIR_ONNX_HELPERS_H__
#define __MIR_ONNX_HELPERS_H__
#include "mir/Graph.h"
#include "mir/ops/ConstantOp.h"
#include "mir/TensorVariant.h"
#include "mir/ops/TransposeOp.h"
#include "onnx/onnx.pb.h"
namespace mir_onnx
{
extern const int64_t firstUnknownOpset;
mir::DataType onnxDataTypeToMirDataType(onnx::TensorProto::DataType type);
mir::Shape constantToShape(const mir::ops::ConstantOp *op);
mir::TensorVariant createTensor(const onnx::TensorProto *tensor);
mir::Operation *foldConstants(mir::Graph *graph, mir::Operation *op);
template <typename OpType, typename... Types>
mir::Operation *createOp(mir::Graph *graph, Types &&... args)
{
auto op = graph->create<OpType>(std::forward<Types>(args)...);
op = foldConstants(graph, op);
return op;
}
} // namespace mir_onnx
#endif // __MIR_ONNX_HELPERS_H__
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