onnx2trt.hpp

/*
 * 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
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 * DEALINGS IN THE SOFTWARE.
 */

#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 <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 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) = 0;
    virtual int64_t getOpsetVersion(const char* domain = "") const = 0;
    virtual nvinfer1::ILogger& logger() = 0;

protected:
    virtual ~IImporterContext()
    {
    }
};

} // namespace onnx2trt