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onnx2trt.hpp
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onnx2trt.hpp
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/*
* Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
*
* 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.
*/
#pragma once
#include "NvOnnxParser.h"
#include "ShapedWeights.hpp"
#include "TensorOrWeights.hpp"
#include "Status.hpp"
#include <onnx/onnx_pb.h>
#include <NvInfer.h>
#include <vector>
#include <functional>
namespace onnx2trt {
class IImporterContext;
// TODO: Find ABI-safe alternative approach for this:
// Can't use std::vector
// Can't use ::onnx::NodeProto
// Can't use std::function
typedef ValueOrStatus<std::vector<TensorOrWeights>> NodeImportResult;
typedef std::function<NodeImportResult(IImporterContext *ctx,
::ONNX_NAMESPACE::NodeProto const &node,
std::vector<TensorOrWeights> &inputs)>
NodeImporter;
struct IImporterContext {
virtual nvinfer1::INetworkDefinition* network() = 0;
virtual ShapedWeights createTempWeights(ShapedWeights::DataType type,
nvinfer1::Dims shape) = 0;
virtual int64_t getOpsetVersion(const char* domain="") const = 0;
protected:
virtual ~IImporterContext() {}
};
} // namespace onnx2trt