standalone code

#ifndef BATCH_STREAM_PPM_H

#define BATCH_STREAM_PPM_H

#include <vector>

#include <assert.h>

#include <algorithm>

#include <iomanip>

#include <fstream>

#include "NvInfer.h"

#include "common.h"

std::string locateFile(const std::string& input);

static constexpr int INPUT_C = 3;

static constexpr int INPUT_H = 300;

static constexpr int INPUT_W = 300;

extern const char* INPUT_BLOB_NAME;

class BatchStream

{

public:

	BatchStream(int batchSize, int maxBatches) : mBatchSize(batchSize), mMaxBatches(maxBatches)

	{

		mDims = nvinfer1::DimsNCHW{batchSize, 3, 300, 300 };

		mImageSize = mDims.c() * mDims.h() * mDims.w();

		mBatch.resize(mBatchSize * mImageSize, 0);

		mLabels.resize(mBatchSize, 0);

		mFileBatch.resize(mDims.n() * mImageSize, 0);

		mFileLabels.resize(mDims.n(), 0);

		reset(0);

	}

	void reset(int firstBatch)

	{

		mBatchCount = 0;

		mFileCount = 0;

		mFileBatchPos = mDims.n();

		skip(firstBatch);

	}

	bool next()

	{

		if (mBatchCount == mMaxBatches)

			return false;

		for (int csize = 1, batchPos = 0; batchPos < mBatchSize; batchPos += csize, mFileBatchPos += csize)

		{

			assert(mFileBatchPos > 0 && mFileBatchPos <= mDims.n());

			if (mFileBatchPos == mDims.n() && !update())

				return false;

			// copy the smaller of: elements left to fulfill the request, or elements left in the file buffer.

			csize = std::min(mBatchSize - batchPos, mDims.n() - mFileBatchPos);

			std::copy_n(getFileBatch() + mFileBatchPos * mImageSize, csize * mImageSize, getBatch() + batchPos * mImageSize);

		}

		mBatchCount++;

		return true;

	}

	void skip(int skipCount)

	{

		if (mBatchSize >= mDims.n() && mBatchSize % mDims.n() == 0 && mFileBatchPos == mDims.n())

		{

			mFileCount += skipCount * mBatchSize / mDims.n();

			return;

		}

		int x = mBatchCount;

		for (int i = 0; i < skipCount; i++)

			next();

		mBatchCount = x;

	}

	float *getBatch() { return mBatch.data(); }

	float *getLabels() { return mLabels.data(); }

	int getBatchesRead() const { return mBatchCount; }

	int getBatchSize() const { return mBatchSize; }

	nvinfer1::DimsNCHW getDims() const { return mDims; }

private:

	float* getFileBatch() { return mFileBatch.data(); }

	float* getFileLabels() { return mFileLabels.data(); }

	bool update()

	{

        std::vector<std::string> fNames;

	    std::ifstream file(locateFile("list.txt"));

        if(file)

        {

            std::cout  << "Batch #" << mFileCount << "\n";

            file.seekg(mCurPos);

        }

        for(int i = 1; i <= mBatchSize; i++)

        {

            std::string sName;

            std::getline(file, sName);

            sName = sName + ".ppm";

            std::cout << "Calibrating with file " << sName << std::endl;

            fNames.emplace_back(sName);

        }

        mCurPos = file.tellg();

        mFileCount++;

        std::vector<samplesCommon::PPM<INPUT_C, INPUT_H, INPUT_W>> ppms(fNames.size());

        for (uint32_t i = 0; i < fNames.size(); ++i)

        {

            readPPMFile(locateFile(fNames[i]), ppms[i]);

        }

        std::vector<float> data(samplesCommon::volume(mDims));

        long int volChl = mDims.h() * mDims.w();

        for (int i = 0, volImg = mDims.c() * mDims.h() * mDims.w(); i < mBatchSize; ++i)

        {

            for (int c = 0; c < mDims.c(); ++c)

            {

                for (int j = 0; j < volChl; ++j)

                {

                    data[i * volImg + c * volChl + j] = (2.0 / 255.0) * float(ppms[i].buffer[j * mDims.c() + c]) - 1.0;

                }

            }

        }

        std::copy_n(data.data(), mDims.n() * mImageSize, getFileBatch());

		mFileBatchPos = 0;

		return true;

	}

	int mBatchSize{0};

	int mMaxBatches{0};

	int mBatchCount{0};

	int mFileCount{0}, mFileBatchPos{0};

	int mImageSize{0};

    int mCurPos{0};

	nvinfer1::DimsNCHW mDims;

	std::vector<float> mBatch;

	std::vector<float> mLabels;

	std::vector<float> mFileBatch;

	std::vector<float> mFileLabels;

};

class Int8EntropyCalibrator : public nvinfer1::IInt8EntropyCalibrator

{

public:

    Int8EntropyCalibrator(BatchStream& stream, int firstBatch, std::string calibrationTableName, bool readCache = true)

        : mStream(stream),

        mCalibrationTableName(std::move(calibrationTableName)),

        mReadCache(readCache)

    {

    	nvinfer1::DimsNCHW dims = mStream.getDims();

        mInputCount = samplesCommon::volume(dims);

        CHECK_TRT(cudaMalloc(&mDeviceInput, mInputCount * sizeof(float)));

        mStream.reset(firstBatch);

    }

    virtual ~Int8EntropyCalibrator()

    {

        CHECK_TRT(cudaFree(mDeviceInput));

    }

    int getBatchSize() const override { return mStream.getBatchSize(); }

    bool getBatch(void* bindings[], const char* names[], int nbBindings) override

    {

        if (!mStream.next())

            return false;

        CHECK_TRT(cudaMemcpy(mDeviceInput, mStream.getBatch(), mInputCount * sizeof(float), cudaMemcpyHostToDevice));

        assert(!strcmp(names[0], INPUT_BLOB_NAME));

        bindings[0] = mDeviceInput;

        return true;

    }

    const void* readCalibrationCache(size_t& length) override

    {

        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;

    }

    void writeCalibrationCache(const void* cache, size_t length) override

    {

        std::ofstream output(mCalibrationTableName, std::ios::binary);

        output.write(reinterpret_cast<const char*>(cache), length);

    }

private:

    BatchStream mStream;

    std::string mCalibrationTableName;

    bool mReadCache{true};

    size_t mInputCount;

    void* mDeviceInput{nullptr};

    std::vector<char> mCalibrationCache;

};

#endif

cmake_minimum_required(VERSION 3.16)

cmake_minimum_required(VERSION 3.16)

set(ENV{CUDACXX} /usr/local/cuda/bin/nvcc)

project(tf-gpu-feed LANGUAGES CXX CUDA)

project(tf_detector_example LANGUAGES CXX CUDA)

cmake_policy(SET CMP0074 OLD)

cmake_policy(SET CMP0074 OLD)

set(CMAKE_CXX_STANDARD 11)

set(CMAKE_CXX_STANDARD 11)

# CUDA for cudacodec ops

set(CUDACXX /usr/local/cuda/bin/nvcc)

find_package(CUDA 9.0 REQUIRED)

find_package(CUDA 9.0 REQUIRED)

set(SOURCE_FILES

set(SOURCE_FILES

    main.cpp

    main.cpp

    utils.cpp 

    utils.h 

    dynlink_nvcuvid.cpp

    dynlink_nvcuvid.cpp

    infer_with_trt.cpp

    array.cu

    inference_base.cpp 

    inference_tf.cpp

    channel_first.cu

    )

    )

# Tensorflow directories and libraries

set(TENSORFLOW_LIBS libtensorflow_cc.so libtensorflow_framework.so)

set(TENSORFLOW_LIBS libtensorflow_cc.so libtensorflow_framework.so)

set(MYHOME $ENV{HOME})

message("-- Home set to: " ${MYHOME})

link_directories("/usr/local/tensorflow/lib")

link_directories("/usr/local/tensorflow/lib")

add_executable(tf_detector_example ${SOURCE_FILES})

add_executable(tf-gpu-feed ${SOURCE_FILES})

set_target_properties(tf_detector_example PROPERTIES CUDA_SEPARABLE_COMPILATION ON)

set_target_properties(tf-gpu-feed PROPERTIES CUDA_SEPARABLE_COMPILATION ON)

# OpenCV libs

find_package(OpenCV REQUIRED)

include_directories(${OpenCV_INCLUDE_DIRS} ${CUDA_INCLUDE_DIRS})

include_directories(${CUDA_INCLUDE_DIRS})

# ==================== PATHS TO SPECIFY! ==================== #

# TensorFlow headers

# TensorFlow headers

include_directories("/usr/local/tensorflow/include/tensorflow/")

include_directories("/usr/local/tensorflow/include/tensorflow/")

include_directories("/usr/local/tensorflow/include/third-party/")

include_directories("/usr/local/tensorflow/include/third-party/")

include_directories("/usr/local/tensorflow/include/")

include_directories("/usr/local/tensorflow/include/")

# IMPORTANT: Protobuf includes. Depends on the anaconda path

target_link_libraries(tf-gpu-feed

# This is Azure DLVM (not sure if DSVM is the same)

#include_directories("/data/anaconda/envs/py36/lib/python3.6/site-packages/tensorflow/include/")

# This is a standard install of Anaconda with p36 environment

#include_directories("${MYHOME}/anaconda3/envs/py36/lib/python3.6/site-packages/tensorflow/include/")

target_link_libraries(tf_detector_example

    ${CUDA_LIBRARIES}

    ${CUDA_LIBRARIES}

    cuda

    cuda

    cublas

    cublas

    nvinfer_plugin

    nvinfer_plugin

    nvonnxparser

    nvonnxparser

    ${CMAKE_DL_LIBS}

    ${CMAKE_DL_LIBS}

    ${OpenCV_LIBS} 

    ${TENSORFLOW_LIBS})

    ${TENSORFLOW_LIBS})

1

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FeatureExtractor/InceptionV2/InceptionV2/MaxPool_3a_3x3/MaxPool: 3d418f1e

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BoxPredictor_3/ClassPredictor/BiasAdd: 3c8c8ef8

FeatureExtractor/InceptionV2/InceptionV2/Conv2d_2c_3x3/Relu6: 3d418f1e

FeatureExtractor/InceptionV2/InceptionV2/Mixed_4e/Branch_2/Conv2d_0a_1x1/Relu6: 3d418f1e

FeatureExtractor/InceptionV2/InceptionV2/MaxPool_2a_3x3/MaxPool: 3d418f1e

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FeatureExtractor/InceptionV2/InceptionV2/Conv2d_1a_7x7/separable_conv2d/depthwise: 3de7428e

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3/Relu6: 3d418f1e

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_3/Conv2d_0b_1x1/Relu6: 3d20913a

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_5a/Branch_2/MaxPool_1a_3x3/MaxPool: 3d418f1e

GridAnchor_5 copy: 3c2b37e3

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NMS_1: 1

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GridAnchor_2 copy: 3c2c4ae8

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_4e/Branch_1/Conv2d_0b_3x3/Relu6: 3d3ceddc

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(Unnamed ITensor* 493): 3d418f1e

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FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_4_3x3_s2_256/Relu6: 3d418f1e

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_5a/Branch_1/Conv2d_1a_3x3/Relu6: 3d418f1e

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GridAnchor: 3a4f5b62

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/Relu6: 3d418f1e

FeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_0/Conv2d_0a_1x1/Relu6: 3d418f1e

FeatureExtractor/InceptionV2/InceptionV2/Mixed_5c/Branch_3/MaxPool_0a_3x3/MaxPool: 3d418f1e

FeatureExtractor/InceptionV2/InceptionV2/Mixed_4b/Branch_1/Conv2d_0b_3x3/Relu6: 3d418f1e

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/Relu6: 3d4af27d

Squeeze_3: 3cafbf65

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FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_3_1x1_128/Relu6: 3d1c5b35

FeatureExtractor/InceptionV2/InceptionV2/Mixed_5b/Branch_1/Conv2d_0b_3x3/Relu6: 3d15c098

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GridAnchor_4: 3c3aa18a

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BoxPredictor_0/BoxEncodingPredictor/BiasAdd: 3df34968

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GridAnchor_3 copy: 3c348982

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BoxPredictor_0/ClassPredictor/BiasAdd: 3e13296c

FeatureExtractor/InceptionV2/InceptionV2/Mixed_4b/Branch_2/Conv2d_0a_1x1/Relu6: 3d418f1e

FeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/Relu6: 3d2dcb21

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/Relu6: 3d418f1e

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GridAnchor_3: 3c348982

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/Relu6: 3d418f1e

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Squeeze_5: 3cdbc092

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_3/AvgPool_0a_3x3/AvgPool: 3cb90e57

FeatureExtractor/InceptionV2/InceptionV2/Mixed_4b/Branch_0/Conv2d_0a_1x1/Relu6: 3d418f1e

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/Relu6: 3d418f1e

FeatureExtractor/InceptionV2/InceptionV2/Mixed_4e/Branch_0/Conv2d_0a_1x1/Relu6: 3d418f1e

FeatureExtractor/InceptionV2/InceptionV2/Mixed_4e/Branch_3/AvgPool_0a_3x3/AvgPool: 3d04ebdf

(Unnamed ITensor* 354): 3d418f1e

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GridAnchor_1 copy: 3a500341

FeatureExtractor/InceptionV2/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu6: 3cb42ac7

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_4e/Branch_2/Conv2d_0b_3x3/Relu6: 3d418f1e

FeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/Relu6: 3d418f1e

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BoxPredictor_1/BoxEncodingPredictor/BiasAdd: 3d2f0384

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_5b/Branch_0/Conv2d_0a_1x1/Relu6: 3d418f1e

GridAnchor_5: 3c2b37e3

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/Relu6: 3d418f1e

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_4b/Branch_2/Conv2d_0b_3x3/Relu6: 3d418f1e

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FeatureExtractor/InceptionV2/InceptionV2/Conv2d_2b_1x1/Relu6: 3d418f1e

FeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/Relu6: 3d418f1e

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FeatureExtractor/InceptionV2/InceptionV2/Conv2d_1a_7x7/Relu6: 3d418f1e

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_5a/Branch_0/Conv2d_0a_1x1/Relu6: 3d418f1e

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_5a/Branch_0/Conv2d_1a_3x3/Relu6: 3d418f1e

FeatureExtractor/InceptionV2/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu6: 3d333265

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FeatureExtractor/InceptionV2/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/Relu6: 3d3d75f1

FeatureExtractor/InceptionV2/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/Relu6: 3d1d4f1e

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GridAnchor_2: 3c2c4ae8

FeatureExtractor/InceptionV2/InceptionV2/Mixed_4a/Branch_0/Conv2d_0a_1x1/Relu6: 3d418f1e

NMS: 3da1a245

GridAnchor copy: 3a4f5b62

FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_4_1x1_128/Relu6: 3d418f1e

MIT License

Copyright (c) 2019 Boris

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.

# tensorflow-feed-from-gpu

# Run

Simple TF test

```

mkdir build

## Setup in Eclipse

cd build

cmake ..

From **Eclipse (2019-12)**:

./tf-gpu-feed

* File > Open Projects from File System...

```

* Directory... > navigate to project's root > Finish

 No newline at end of file

Tried importing a few times - indexer does not work sometimes.