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onnx2trt.hpp
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onnx2trt.hpp
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/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include "NvOnnxParser.h"
#include "ShapedWeights.hpp"
#include "Status.hpp"
#include "TensorOrWeights.hpp"
#include <NvInfer.h>
#include <functional>
#include <onnx/onnx_pb.h>
#include <unordered_map>
#include <unordered_set>
#include <fstream>
#include <vector>
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;
template <typename T>
using StringMap = std::unordered_map<std::string, T>;
class IImporterContext
{
public:
virtual nvinfer1::INetworkDefinition* network() = 0;
virtual StringMap<TensorOrWeights>& tensors() = 0;
virtual StringMap<nvinfer1::TensorLocation>& tensorLocations() = 0;
virtual StringMap<float>& tensorRangeMins() = 0;
virtual StringMap<float>& tensorRangeMaxes() = 0;
virtual StringMap<nvinfer1::DataType>& layerPrecisions() = 0;
virtual std::unordered_set<std::string>& unsupportedShapeTensors() = 0;
virtual StringMap<std::string>& loopTensors() = 0;
virtual void setOnnxFileLocation(std::string location) = 0;
virtual std::string getOnnxFileLocation() = 0;
virtual void registerTensor(TensorOrWeights tensor, const std::string& basename) = 0;
virtual void registerLayer(nvinfer1::ILayer* layer, const std::string& basename) = 0;
virtual ShapedWeights createTempWeights(ShapedWeights::DataType type, nvinfer1::Dims shape, uint8_t value = 0) = 0;
virtual int64_t getOpsetVersion(const char* domain = "") const = 0;
virtual nvinfer1::ILogger& logger() = 0;
virtual bool hasError() const = 0;
virtual nvinfer1::IErrorRecorder* getErrorRecorder() const = 0;
protected:
virtual ~IImporterContext()
{
}
};
} // namespace onnx2trt