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| Original file line number | Diff line number | Diff line change |
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| #ifndef BATCH_STREAM_HPP | ||
| #define BATCH_STREAM_HPP | ||
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| #include <string> | ||
| #include <sstream> | ||
| #include <fstream> | ||
| #include <iostream> | ||
| #include <vector> | ||
| #include <algorithm> | ||
| #include <numeric> | ||
| #include <opencv2/opencv.hpp> | ||
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| #include "NvInfer.h" | ||
| #include "read_img.hpp" | ||
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| using nvinfer1::Dims; | ||
| using nvinfer1::Dims3; | ||
| using nvinfer1::Dims4; | ||
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| class IBatchStream | ||
| { | ||
| public: | ||
| virtual void reset(int firstBatch) = 0; | ||
| virtual bool next() = 0; | ||
| virtual void skip(int skipCount) = 0; | ||
| virtual float* getBatch() = 0; | ||
| virtual int getBatchesRead() const = 0; | ||
| virtual int getBatchSize() const = 0; | ||
| virtual nvinfer1::Dims4 getDims() const = 0; | ||
| }; | ||
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| class BatchStream : public IBatchStream | ||
| { | ||
| public: | ||
| BatchStream(int batchSize, int maxBatches, Dims indim, | ||
| const std::string& dataRoot, | ||
| const std::string& dataFile) | ||
| : mBatchSize{batchSize} | ||
| , mMaxBatches{maxBatches} | ||
| { | ||
| mDims = Dims3(indim.d[1], indim.d[2], indim.d[3]); | ||
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| readDataFile(dataFile, dataRoot); | ||
| mSampleSize = std::accumulate( | ||
| mDims.d, mDims.d + mDims.nbDims, 1, std::multiplies<int64_t>()) * sizeof(float); | ||
| mData.resize(mSampleSize * mBatchSize); | ||
| } | ||
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| void reset(int firstBatch) override | ||
| { | ||
| cout << "mBatchCount: " << mBatchCount << endl; | ||
| mBatchCount = firstBatch; | ||
| } | ||
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| bool next() override | ||
| { | ||
| if (mBatchCount >= mMaxBatches) | ||
| { | ||
| return false; | ||
| } | ||
| ++mBatchCount; | ||
| return true; | ||
| } | ||
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| void skip(int skipCount) override | ||
| { | ||
| mBatchCount += skipCount; | ||
| } | ||
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| float* getBatch() override | ||
| { | ||
| int offset = mBatchCount * mBatchSize; | ||
| for (int i{0}; i < mBatchSize; ++i) { | ||
| int ind = offset + i; | ||
| read_data(mPaths[ind], &mData[i * mSampleSize], mDims.d[1], mDims.d[2]); | ||
| } | ||
| return mData.data(); | ||
| } | ||
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| int getBatchesRead() const override | ||
| { | ||
| return mBatchCount; | ||
| } | ||
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| int getBatchSize() const override | ||
| { | ||
| return mBatchSize; | ||
| } | ||
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| nvinfer1::Dims4 getDims() const override | ||
| { | ||
| return Dims4{mBatchSize, mDims.d[0], mDims.d[1], mDims.d[2]}; | ||
| } | ||
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| private: | ||
| void readDataFile(const std::string& dataFilePath, const std::string& dataRootPath) | ||
| { | ||
| std::ifstream file(dataFilePath, std::ios::in); | ||
| if (!file.is_open()) { | ||
| cout << "file open failed: " << dataFilePath << endl; | ||
| std::abort(); | ||
| } | ||
| std::stringstream ss; | ||
| file >> ss.rdbuf(); | ||
| file.close(); | ||
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| std::string impth; | ||
| int n_imgs = 0; | ||
| while (std::getline(ss, impth)) ++n_imgs; | ||
| ss.clear(); ss.seekg(0, std::ios::beg); | ||
| if (n_imgs <= 0) { | ||
| cout << "ann file is empty, cannot read image paths for int8 calibration: " | ||
| << dataFilePath << endl; | ||
| std::abort(); | ||
| } | ||
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| mPaths.resize(n_imgs); | ||
| for (int i{0}; i < n_imgs; ++i) { | ||
| std::getline(ss, impth, ','); | ||
| mPaths[i] = dataRootPath + "/" + impth; | ||
| std::getline(ss, impth); | ||
| } | ||
| if (mMaxBatches < 0) { | ||
| mMaxBatches = n_imgs / mBatchSize - 1; | ||
| } | ||
| if (mMaxBatches <= 0) { | ||
| cout << "must have at least 1 batch for calibration\n"; | ||
| std::abort(); | ||
| } | ||
| cout << "mMaxBatches = " << mMaxBatches << endl; | ||
| } | ||
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| int mBatchSize{0}; | ||
| int mBatchCount{0}; | ||
| int mMaxBatches{0}; | ||
| Dims3 mDims{}; | ||
| std::vector<string> mPaths; | ||
| std::vector<float> mData; | ||
| int mSampleSize{0}; | ||
| }; | ||
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| #endif |
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| /* | ||
| * Copyright (c) 2019, NVIDIA CORPORATION. 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. | ||
| */ | ||
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| #ifndef ENTROPY_CALIBRATOR_HPP | ||
| #define ENTROPY_CALIBRATOR_HPP | ||
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| #include <algorithm> | ||
| #include <numeric> | ||
| #include <iterator> | ||
| #include "NvInfer.h" | ||
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| //! \class EntropyCalibratorImpl | ||
| //! | ||
| //! \brief Implements common functionality for Entropy calibrators. | ||
| //! | ||
| template <typename TBatchStream> | ||
| class EntropyCalibratorImpl | ||
| { | ||
| public: | ||
| EntropyCalibratorImpl( | ||
| TBatchStream stream, int firstBatch, std::string cal_table_name, const char* inputBlobName, bool readCache = true) | ||
| : mStream{stream} | ||
| , mCalibrationTableName(cal_table_name) | ||
| , mInputBlobName(inputBlobName) | ||
| , mReadCache(readCache) | ||
| { | ||
| nvinfer1::Dims4 dims = mStream.getDims(); | ||
| mInputCount = std::accumulate( | ||
| dims.d, dims.d + dims.nbDims, 1, std::multiplies<int64_t>()); | ||
| cout << "dims.nbDims: " << dims.nbDims << endl; | ||
| for (int i{0}; i < dims.nbDims; ++i) { | ||
| cout << dims.d[i] << ", "; | ||
| } | ||
| cout << endl; | ||
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| cudaError_t state; | ||
| state = cudaMalloc(&mDeviceInput, mInputCount * sizeof(float)); | ||
| if (state) { | ||
| cout << "allocate memory failed\n"; | ||
| std::abort(); | ||
| } | ||
| cout << "mInputCount: " << mInputCount << endl; | ||
| mStream.reset(firstBatch); | ||
| } | ||
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| virtual ~EntropyCalibratorImpl() | ||
| { | ||
| cudaError_t state; | ||
| state = cudaFree(mDeviceInput); | ||
| if (state) { | ||
| cout << "free memory failed\n"; | ||
| std::abort(); | ||
| } | ||
| } | ||
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| int getBatchSize() const | ||
| { | ||
| return mStream.getBatchSize(); | ||
| } | ||
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| bool getBatch(void* bindings[], const char* names[], int nbBindings) | ||
| { | ||
| if (!mStream.next()) | ||
| { | ||
| return false; | ||
| } | ||
| cudaError_t state; | ||
| state = cudaMemcpy(mDeviceInput, mStream.getBatch(), mInputCount * sizeof(float), cudaMemcpyHostToDevice); | ||
| if (state) { | ||
| cout << "allocate memory failed\n"; | ||
| std::abort(); | ||
| } | ||
| assert(!strcmp(names[0], mInputBlobName)); | ||
| bindings[0] = mDeviceInput; | ||
| return true; | ||
| } | ||
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| const void* readCalibrationCache(size_t& length) | ||
| { | ||
| mCalibrationCache.clear(); | ||
| std::ifstream input(mCalibrationTableName, std::ios::binary); | ||
| input >> std::noskipws; | ||
| if (mReadCache && input.good()) | ||
| { | ||
| std::copy(std::istream_iterator<char>(input), std::istream_iterator<char>(), | ||
| std::back_inserter(mCalibrationCache)); | ||
| } | ||
| length = mCalibrationCache.size(); | ||
| return length ? mCalibrationCache.data() : nullptr; | ||
| } | ||
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| void writeCalibrationCache(const void* cache, size_t length) | ||
| { | ||
| std::ofstream output(mCalibrationTableName, std::ios::binary); | ||
| output.write(reinterpret_cast<const char*>(cache), length); | ||
| } | ||
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| private: | ||
| TBatchStream mStream; | ||
| size_t mInputCount; | ||
| std::string mCalibrationTableName; | ||
| const char* mInputBlobName; | ||
| bool mReadCache{true}; | ||
| void* mDeviceInput{nullptr}; | ||
| std::vector<char> mCalibrationCache; | ||
| }; | ||
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| //! \class Int8EntropyCalibrator2 | ||
| //! | ||
| //! \brief Implements Entropy calibrator 2. | ||
| //! CalibrationAlgoType is kENTROPY_CALIBRATION_2. | ||
| //! | ||
| template <typename TBatchStream> | ||
| class Int8EntropyCalibrator2 : public nvinfer1::IInt8EntropyCalibrator2 | ||
| { | ||
| public: | ||
| Int8EntropyCalibrator2( | ||
| TBatchStream stream, int firstBatch, const char* networkName, const char* inputBlobName, bool readCache = true) | ||
| : mImpl(stream, firstBatch, networkName, inputBlobName, readCache) | ||
| { | ||
| } | ||
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| int getBatchSize() const noexcept override | ||
| { | ||
| return mImpl.getBatchSize(); | ||
| } | ||
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| bool getBatch(void* bindings[], const char* names[], int nbBindings) noexcept override | ||
| { | ||
| return mImpl.getBatch(bindings, names, nbBindings); | ||
| } | ||
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| const void* readCalibrationCache(size_t& length) noexcept override | ||
| { | ||
| return mImpl.readCalibrationCache(length); | ||
| } | ||
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| void writeCalibrationCache(const void* cache, size_t length) noexcept override | ||
| { | ||
| mImpl.writeCalibrationCache(cache, length); | ||
| } | ||
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| private: | ||
| EntropyCalibratorImpl<TBatchStream> mImpl; | ||
| }; | ||
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| #endif // ENTROPY_CALIBRATOR_H |
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