70 lines
3.4 KiB
C++
70 lines
3.4 KiB
C++
/*
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* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a
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* copy of this software and associated documentation files (the "Software"),
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* to deal in the Software without restriction, including without limitation
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* the rights to use, copy, modify, merge, publish, distribute, sublicense,
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* and/or sell copies of the Software, and to permit persons to whom the
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* Software is furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
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* THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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* DEALINGS IN THE SOFTWARE.
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*/
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#ifndef __TRT_UTILS_H__
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#define __TRT_UTILS_H__
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#include <set>
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#include <map>
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#include <string>
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#include <vector>
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#include <cassert>
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#include <iostream>
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#include <fstream>
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#include "NvInfer.h"
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#define UNUSED(expr) (void)(expr)
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#define DIVUP(n, d) ((n) + (d)-1) / (d)
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std::string trim(std::string s);
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float clamp(const float val, const float minVal, const float maxVal);
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bool fileExists(const std::string fileName, bool verbose = true);
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std::vector<float> loadWeights(const std::string weightsFilePath, const std::string& networkType);
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std::string dimsToString(const nvinfer1::Dims d);
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void displayDimType(const nvinfer1::Dims d);
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int getNumChannels(nvinfer1::ITensor* t);
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uint64_t get3DTensorVolume(nvinfer1::Dims inputDims);
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// Helper functions to create yolo engine
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nvinfer1::ILayer* netAddMaxpool(int layerIdx, std::map<std::string, std::string>& block,
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nvinfer1::ITensor* input, nvinfer1::INetworkDefinition* network);
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nvinfer1::ILayer* netAddConvLinear(int layerIdx, std::map<std::string, std::string>& block,
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std::vector<float>& weights,
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std::vector<nvinfer1::Weights>& trtWeights, int& weightPtr,
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int& inputChannels, nvinfer1::ITensor* input,
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nvinfer1::INetworkDefinition* network);
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nvinfer1::ILayer* netAddConvBNLeaky(int layerIdx, std::map<std::string, std::string>& block,
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std::vector<float>& weights,
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std::vector<nvinfer1::Weights>& trtWeights, int& weightPtr,
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int& inputChannels, nvinfer1::ITensor* input,
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nvinfer1::INetworkDefinition* network);
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nvinfer1::ILayer* netAddUpsample(int layerIdx, std::map<std::string, std::string>& block,
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std::vector<float>& weights,
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std::vector<nvinfer1::Weights>& trtWeights, int& inputChannels,
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nvinfer1::ITensor* input, nvinfer1::INetworkDefinition* network);
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void printLayerInfo(std::string layerIndex, std::string layerName, std::string layerInput,
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std::string layerOutput, std::string weightPtr);
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#endif
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