diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 5969181d82318bfc04a48970bcd9c7fc8ae8de4a..70644054256d4f6372603dfece2df2f29f8e9c03 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -90,3 +90,30 @@ TestMNISTwithCustomLayer: - cd mnist-custom-layer - mvn dependency:resolve emadl:train -s settings.xml +TrainTensorflowONNX: + stage: linux + image: registry.git.rwth-aachen.de/monticore/embeddedmontiarc/generators/emadl2cpp/dockerimages/tensorflow-onnx:latest + artifacts: + paths: + - onnx/tensorflow-pretrained/model/ + expire_in: 1 day + script: + - cd onnx/tensorflow-pretrained + - mvn dependency:resolve emadl:train -s settings.xml + +TestGluonONNX: + stage: linux + image: registry.git.rwth-aachen.de/monticore/embeddedmontiarc/generators/emadl2cpp/dockerimages/mxnet170-onnx:v0.0.1 + needs: + - TrainTensorflowONNX + script: + - mv /mxnet/build/libmxnet.so /mxnet/build/libmxnet.a /usr/lib/ + - cd onnx/tensorflow-pretrained + - ls model/cNNCalculator.Network/ + - mvn emadl:install-pretrained -e -s ./settings.xml + - cd ../gluon-load + - mvn emadl:train -s settings.xml + - chmod +x build.sh + - ./build.sh + - RES=$(./build/src/cpp/DigitCalculator resources/images/1.png resources/images/2.png resources/images/3.png resources/images/4.png resources/images/5.png resources/images/6.png) + - "if [[ $RES != *\"SUM: 579\"* ]]; then echo \"Wrong result:\" $RES; exit 1; fi;" \ No newline at end of file diff --git a/onnx/.gitignore b/onnx/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..446764f1b69883078a7530c4dc43e4dc222a68f8 --- /dev/null +++ b/onnx/.gitignore @@ -0,0 +1,6 @@ +train.log +target/ +model/ +build/ + +model_0-0000.onnx \ No newline at end of file diff --git a/onnx/README.md b/onnx/README.md new file mode 100644 index 0000000000000000000000000000000000000000..f798788eeec4f6d7c994458eadc481d356023972 --- /dev/null +++ b/onnx/README.md @@ -0,0 +1,40 @@ + +# Calculator TENSORFLOW-ONNX-GLUON + +In this folder demonstration of sharing model between tensorflow and mxnet frameworks. +During the run, the MNISTCalculator model will be trained in tensorflow backend and then exported to mxnet backend via ONNX. + +## Prerequisites +1. Ubuntu Linux 16.04 LTS or 18.04 LTS (experimental) +2. Deep Learning Frameworks **Tensorlfow** and **MXNet** +3. Armadillo (at least armadillo version 6.600 must be used) [Official instructions at Armadillo Website](http://arma.sourceforge.net/download.html). +4. OpenCV + + +## How to Run +Generate and build the code for the EMADL model by executing: + +``` +bash build.sh +``` + +Finally, go to `gluon-load` folder run the calculator as follows: +``` +./build/src/cpp/DigitCalculator resources/images/1.png resources/images/2.png resources/images/3.png resources/images/4.png resources/images/5.png resources/images/6.png +``` + +You can try different images from the provided `/resources/images` directory or even create your own images for testing. Note that the application program DigitCalculator will automatically rescale the given input image to the size 32x32. + + + +## Troubleshooting Help + +ERROR: HelperA.h:79:28: error: ‘sqrtmat’ was not declared in this scope. + +FIX: +Copy compiled armadillo lib and include files to usr/lib and usr/include respectively. Replace YOUR_ARMADILLO_REPOSITORY and VERSION (e.g. 8.500.1) with your corresponding information: +``` +cd YOUR_ARMADILLO_REPOSITORY/armadillo-VERSION +sudo cp libarmadillo* /usr/lib +cd YOUR_ARMADILLO_REPOSITORY/armadillo-VERSION/include +sudo cp -r * /usr/include diff --git a/onnx/build.sh b/onnx/build.sh new file mode 100644 index 0000000000000000000000000000000000000000..871401a22f6e098eaea0983c0d490b553965333f --- /dev/null +++ b/onnx/build.sh @@ -0,0 +1,37 @@ +MXNET_PATH=$(python3 -c "import mxnet; print(mxnet.__file__)") +# (c) https://github.com/MontiCore/monticore +MXNET_FOLDER=$(dirname $MXNET_PATH) +echo $MXNET_FOLDER + +if [ ! -f $MXNET_FOLDER/libmxnet.so ]; then + echo "libmxnet.so not found at default location" $MXNET_FOLDER + echo "It should be there if the python mxnet package is installed" + echo "Either fix the installation, or adapt the ./build.sh script to locate libmxnet.so correctly" + exit 1 +fi + +# cd ./gluon-pretrained +# rm -rf ./target +# rm -rf ./model +# java -jar ../embedded-montiarc-emadl-generator-0.5.5-SNAPSHOT-jar-with-dependencies.jar -m ./src/emadl/models/ -r cNNCalculator.Connector -o target -b GLUON -p /usr/bin/python3 + +# cp ./model/cNNCalculator.Network/model_0_newest.onnx ../model_0-0000.onnx + +cd ./tensorflow-pretrained +rm -rf ./target +rm -rf ./model +java -jar ../embedded-montiarc-emadl-generator-0.5.5-SNAPSHOT-jar-with-dependencies.jar -m ./src/emadl/models/ -r cNNCalculator.Connector -o target -b TENSORFLOW -c n -p /usr/bin/python3 + +cp ./model/cNNCalculator.Network/model.onnx ../model_0-0000.onnx + +cd ../gluon-load +rm -rf ./target +rm -rf ./model +java -jar ../embedded-montiarc-emadl-generator-0.5.5-SNAPSHOT-jar-with-dependencies.jar -m ./src/emadl/models/ -r cNNCalculator.Connector -o target -b GLUON -p /usr/bin/python3 + +rm -rf build +mkdir build && cd build + +echo "Building DigitClassifier.." +cmake -D MXNET_PATH=$MXNET_FOLDER/libmxnet.so .. +make \ No newline at end of file diff --git a/onnx/embedded-montiarc-emadl-generator-0.5.5-SNAPSHOT-jar-with-dependencies.jar b/onnx/embedded-montiarc-emadl-generator-0.5.5-SNAPSHOT-jar-with-dependencies.jar new file mode 100644 index 0000000000000000000000000000000000000000..f175978259487f0f5b12e905b3dd8e66158cf786 Binary files /dev/null and b/onnx/embedded-montiarc-emadl-generator-0.5.5-SNAPSHOT-jar-with-dependencies.jar differ diff --git a/onnx/gluon-load/.gitignore b/onnx/gluon-load/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..4ac7b8e1c76dbc2772679380c9340fa32b393b4f --- /dev/null +++ b/onnx/gluon-load/.gitignore @@ -0,0 +1,4 @@ +train.log +target/ +model/ +build/ diff --git a/onnx/gluon-load/CMakeLists.txt b/onnx/gluon-load/CMakeLists.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ff64561b4c7881e51152b96935befac7c5cec54 --- /dev/null +++ b/onnx/gluon-load/CMakeLists.txt @@ -0,0 +1,5 @@ +cmake_minimum_required(VERSION 3.5) +project (default) +set (CMAKE_CXX_STANDARD 11) +add_subdirectory(src/cpp) +add_subdirectory(target/tmp/cpp/cNNCalculator.Connector) diff --git a/onnx/gluon-load/build.sh b/onnx/gluon-load/build.sh new file mode 100644 index 0000000000000000000000000000000000000000..ccfb121b237434e03178d4f6bb5a88985c7fbf10 --- /dev/null +++ b/onnx/gluon-load/build.sh @@ -0,0 +1,18 @@ +MXNET_PATH=$(python3 -c "import mxnet; print(mxnet.__file__)") +# (c) https://github.com/MontiCore/monticore +MXNET_FOLDER=$(dirname $MXNET_PATH) +echo $MXNET_FOLDER + +if [ ! -f $MXNET_FOLDER/libmxnet.so ]; then + echo "libmxnet.so not found at default location" $MXNET_FOLDER + echo "It should be there if the python mxnet package is installed" + echo "Either fix the installation, or adapt the ./build.sh script to locate libmxnet.so correctly" + exit 1 +fi + +rm -rf build +mkdir build && cd build + +echo "Building DigitClassifier.." +cmake -D MXNET_PATH=$MXNET_FOLDER/libmxnet.so .. +make \ No newline at end of file diff --git a/onnx/gluon-load/pom.xml b/onnx/gluon-load/pom.xml new file mode 100644 index 0000000000000000000000000000000000000000..6cbb94f48d86215bda6fbfabf3bfc88e287afbd8 --- /dev/null +++ b/onnx/gluon-load/pom.xml @@ -0,0 +1,62 @@ + + + + 4.0.0 + + de.monticore.lang.monticar.application + mnist-calculator + 0.0.2-SNAPSHOT + + + + + 1.8 + + UTF-8 + UTF-8 + + + + + de.monticore.lang.monticar.pretrained + mnistcalc-tensorflow + 1 + pretrained + + + + + + + + de.monticore.lang.monticar.utilities + emadl-maven-plugin + 0.0.6-SNAPSHOT + + + GLUON + cNNCalculator.Connector + src/emadl/models + src/emadl/models + /usr/bin/python3 + + + + + + + + + + se-nexus + https://nexus.se.rwth-aachen.de/content/repositories/embeddedmontiarc-releases/ + + + se-nexus + https://nexus.se.rwth-aachen.de/content/repositories/embeddedmontiarc-snapshots/ + + + + diff --git a/onnx/gluon-load/resources/images/0.png b/onnx/gluon-load/resources/images/0.png new file mode 100644 index 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@@ +# (c) https://github.com/MontiCore/monticore +from __future__ import print_function +from __future__ import division +import h5py +import numpy as np +import cv2 +import os +import argparse +import errno +import random +import sys + + +def create_img_list(name, data_path): + dir_name = data_path + "/" + name + + image_paths = [] + image_class_indices = [] + print(dir_name) + for class_index_name in os.listdir(dir_name): + class_dir_path = dir_name + "/" + class_index_name + if os.path.isdir(class_dir_path): + for image_name in os.listdir(class_dir_path): + image_path = class_dir_path + "/" + image_name + image_paths.append(image_path) + class_index = float(class_index_name) + image_class_indices.append(class_index) + return image_paths, image_class_indices + +def create_h5_from_list(image_paths, image_class_indices, target_dir, target_file_name, input_port_name, output_port_name, shuffle=True): + img = cv2.imread(image_paths[0]) + t_img = np.transpose(img, (2,0,1)).astype(np.float32) + #t_img = t_img[-1:,:,:] + #print(t_img) + channels = t_img.shape[0] + height = t_img.shape[1] + width = t_img.shape[2] + data_size = len(image_paths) + + target_file = target_dir + "/" + target_file_name + ".h5" + if os.path.isfile(target_file): + print("File", target_file, "already exists. Skipping data file creation.") + return + try: + os.makedirs(target_dir) + except OSError as e: + if e.errno != errno.EEXIST: + raise + + if shuffle: + combined = list(zip(image_paths, image_class_indices)) + random.shuffle(combined) + image_paths[:], image_class_indices[:] = zip(*combined) + + print("Creating " + target_file + " (images:" + str(data_size) + ", channels:" + str(channels) + ", height:" + str(height) + ", width:" + str(width) + "):") + with h5py.File(target_file, "w") as ofile: + in_dset = ofile.create_dataset(input_port_name, (data_size,channels, height, width), dtype=np.float32) + out_dset = ofile.create_dataset(output_port_name + "_label", (data_size,), dtype=np.float32) + for i in range(data_size): + img = cv2.imread(image_paths[i]) + t_img = np.transpose(img, (2,0,1)).astype(np.float32) + #t_img = t_img[-1:,:,:] + in_dset[i] = t_img + out_dset[i] = image_class_indices[i] + + #print progress + if i % 100 == 0: + percentage = 100*i / data_size + sys.stdout.write("\r{:0.1f}%".format(percentage)) + sys.stdout.flush() + sys.stdout.write("\r100.0%\n") + sys.stdout.flush() + + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description='Translate image directories into hdf5 training sets for EMADL.') + parser.add_argument("--in_port", action="store", dest="in_port", default="data") + parser.add_argument("--out_port", action="store", dest="out_port", default="softmax") + parser.add_argument("--data_path", action="store", dest="data_path", default=".") + parser.add_argument("--target_path", action="store", dest="target_path", default=".") + args = parser.parse_args() + for file_name in os.listdir(args.data_path): + if file_name == "train": + image_paths, image_class_indices = create_img_list(file_name, args.data_path) + create_h5_from_list(image_paths, image_class_indices, args.target_path, file_name, args.in_port, args.out_port) + if file_name == "test": + image_paths, image_class_indices = create_img_list(file_name, args.data_path) + create_h5_from_list(image_paths, image_class_indices, args.target_path, file_name, args.in_port, args.out_port) diff --git a/onnx/gluon-load/resources/training_data/test.h5 b/onnx/gluon-load/resources/training_data/test.h5 new file mode 100644 index 0000000000000000000000000000000000000000..2441fa8a99e54e8d3a7ba06ecde5521997399c0b Binary files /dev/null and b/onnx/gluon-load/resources/training_data/test.h5 differ diff --git a/onnx/gluon-load/resources/training_data/train.h5 b/onnx/gluon-load/resources/training_data/train.h5 new file mode 100644 index 0000000000000000000000000000000000000000..d525ad53f03d0cd84a14ad177215fc64b8c3b667 Binary files /dev/null and b/onnx/gluon-load/resources/training_data/train.h5 differ diff --git a/onnx/gluon-load/settings.xml b/onnx/gluon-load/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..cfe7735c7b26edfb1c0a15130da3e22e1759b4c5 --- /dev/null +++ b/onnx/gluon-load/settings.xml @@ -0,0 +1,258 @@ + + + + + + org.mortbay.jetty + de.topobyte + + + + + + + + se-nexus + cibuild + ${env.cibuild} + + + + github + travisbuilduser + ${env.travisbuilduserpassword} + + + + gitlab-maven + + + + Deploy-Token + KJkmCZosey-A8XBES2Fy + + + + + + + + + + + + sonar + + true + + + + + https://metric.se.rwth-aachen.de + + + jenkins + + + ${env.sonar} + + + + + + se-nexus + + + central + https://repo1.maven.org/maven2/ + + + + + + + + + nexus + https://nexus.se.rwth-aachen.de/content/groups/public + + true + + + true + + + + gitlab-maven + https://git.rwth-aachen.de/api/v4/projects/57999/packages/maven + + + + + jena + https://bio.informatik.uni-jena.de/repository/libs-release-oss + + + + + + + + + eclipse + https://repo.eclipse.org/content/groups/releases/ + + true + + + true + + + + jcenter + https://jcenter.bintray.com/ + + true + + + true + + + + + topobyte + http://mvn.topobyte.de/ + + true + + + true + + + + + spring + https://repo.spring.io/libs-release/ + + true + + + true + + + + + rosjava_mvn + Public Rosjava repository + https://github.com/rosjava/rosjava_mvn_repo + + + + icm + icm + http://maven.icm.edu.pl/artifactory/repo/ + + + + + + + central + http://central + + + + + + + + + nexus + https://nexus.se.rwth-aachen.de/content/groups/public + + true + + + true + + + + central + https://repo1.maven.org/maven2 + + true + + + true + + + + eclipse + https://repo.eclipse.org/content/groups/releases/ + + true + + + true + + + + jcenter + https://jcenter.bintray.com/ + + true + + + true + + + + + topobyte + http://mvn.topobyte.de/ + + true + + + true + + + + jena + https://bio.informatik.uni-jena.de/repository/libs-release-oss + + + + + + + + + + + + + + se-nexus + + diff --git a/onnx/gluon-load/src/cpp/CMakeLists.txt b/onnx/gluon-load/src/cpp/CMakeLists.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8bdb5d96acde4b5ab5f22e5925b3c3fbf365d35 --- /dev/null +++ b/onnx/gluon-load/src/cpp/CMakeLists.txt @@ -0,0 +1,17 @@ +cmake_minimum_required(VERSION 3.5) +project(DigitCalculator CXX) +set(CMAKE_CXX_STANDARD 11) + +option(MXNET_PATH "Path to libmxnet.so") + + +add_executable(DigitCalculator DigitCalculator.cpp) + +set_target_properties(DigitCalculator PROPERTIES LINKER_LANGUAGE CXX) +find_package(OpenCV REQUIRED) +target_link_libraries(DigitCalculator ${MXNET_PATH}) +set(INCLUDE_DIRS ${INCLUDE_DIRS} ${OpenCV_INCLUDE_DIRS}) +set(LIBS ${LIBS} ${OpenCV_LIBS}) +target_link_libraries(DigitCalculator cNNCalculator_connector ${LIBS} -lblas -lopenblas) +target_include_directories(DigitCalculator PUBLIC ${CMAKE_CURRENT_SOURCE_DIR}) +export(TARGETS DigitCalculator FILE DigitCalculator.cmake) diff --git a/onnx/gluon-load/src/cpp/DigitCalculator.cpp b/onnx/gluon-load/src/cpp/DigitCalculator.cpp new file mode 100644 index 0000000000000000000000000000000000000000..01fa60d1e2b1923a7d1b9c09899bb2625f2c43ef --- /dev/null +++ b/onnx/gluon-load/src/cpp/DigitCalculator.cpp @@ -0,0 +1,73 @@ +/* (c) https://github.com/MontiCore/monticore */ +#include "CNNTranslator.h" +#include "cNNCalculator_connector.h" +#include +#include +#include + +#include +#include //Check if it can be removed +#include +#include + +int main(int argc, char* argv[]) { + if(argc < 7){ //Note: argc=1 if no arguments are provided + std::cout << "Missing argument: Path to 6 test images must be provided " << std::endl; + exit(1); + } + + + cNNCalculator_connector connector; + connector.init(); + + for(int n = 0; n < 6; n++) { + std::string filePath = argv[n+1]; + + if (!std::ifstream(filePath).good()) { + std::cerr << "Image loading failure, test image '" << filePath << "' does not exist." << std::endl; + exit(1); + } + + cv::Mat img = cv::imread(filePath); + std::cout << "== original image size: " << img.size() << " ==" << std::endl; + + // scale image to fit + cv::Size scale(28,28); + cv::resize(img, img, scale); + std::cout << "== simply resize: " << img.size() << " ==" << std::endl; + + size_t channels = 1; + size_t height = img.rows; + size_t width = img.cols; + vector data(channels*height*width); + + for(size_t j=0; j(j, k); + for(size_t i=0; i::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + if(n == 1) + connector.image2 = conv_to< icube >::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + if(n == 2) + connector.image3 = conv_to< icube >::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + if(n == 3) + connector.image4 = conv_to< icube >::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + if(n == 4) + connector.image5 = conv_to< icube >::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + if(n == 5) + connector.image6 = conv_to< icube >::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + } + + connector.execute(); + + int classIndex = (int)connector.res; + std::cout << "== SUM: " << classIndex << std::endl; + + return 0; +} diff --git a/onnx/gluon-load/src/emadl/models/cNNCalculator/Add.emadl b/onnx/gluon-load/src/emadl/models/cNNCalculator/Add.emadl new file mode 100644 index 0000000000000000000000000000000000000000..c4358d95b2ad8e8cec283667743723bbb7310fae --- /dev/null +++ b/onnx/gluon-load/src/emadl/models/cNNCalculator/Add.emadl @@ -0,0 +1,13 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component Add{ + ports + in Z(0:999) num1, + in Z(0:999) num2, + out Z(0:1998) sum; + + implementation Math{ + sum = num1 + num2; + } +} diff --git a/onnx/gluon-load/src/emadl/models/cNNCalculator/ArgMax.emadl b/onnx/gluon-load/src/emadl/models/cNNCalculator/ArgMax.emadl new file mode 100644 index 0000000000000000000000000000000000000000..6a3ed483ec28446815b13d592f7edbf98be539c1 --- /dev/null +++ b/onnx/gluon-load/src/emadl/models/cNNCalculator/ArgMax.emadl @@ -0,0 +1,20 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component ArgMax{ + ports in Q^{n} inputVector, + out Z(0:oo) maxIndex, + out Q maxValue; + + implementation Math{ + maxIndex = 0; + maxValue = inputVector(1); + + for i = 2:n + if inputVector(i) > maxValue + maxIndex = i - 1; + maxValue = inputVector(i); + end + end + } +} diff --git a/onnx/gluon-load/src/emadl/models/cNNCalculator/Calculator.emadl b/onnx/gluon-load/src/emadl/models/cNNCalculator/Calculator.emadl new file mode 100644 index 0000000000000000000000000000000000000000..bd86c0cb42691cf0281b750c70a8f5820d956841 --- /dev/null +++ b/onnx/gluon-load/src/emadl/models/cNNCalculator/Calculator.emadl @@ -0,0 +1,45 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component Calculator { + ports + in Q(0:1)^10 in1_1, + in Q(0:1)^10 in1_2, + in Q(0:1)^10 in1_3, + in Q(0:1)^10 in2_1, + in Q(0:1)^10 in2_2, + in Q(0:1)^10 in2_3, + + out Z(0:1998) out1; + + instance ArgMax<10> number1ones; + instance ArgMax<10> number1tens; + instance ArgMax<10> number1hundreds; + instance ArgMax<10> number2ones; + instance ArgMax<10> number2tens; + instance ArgMax<10> number2hundreds; + instance DigitCombiner c1; + instance DigitCombiner c2; + instance Add add; + + + connect in1_1 -> number1hundreds.inputVector; + connect in1_2 -> number1tens.inputVector; + connect in1_3 -> number1ones.inputVector; + connect in2_1 -> number2hundreds.inputVector; + connect in2_2 -> number2tens.inputVector; + connect in2_3 -> number2ones.inputVector; + + connect number1ones.maxIndex -> c1.ones; + connect number1tens.maxIndex -> c1.tens; + connect number1hundreds.maxIndex -> c1.hundreds; + connect number2ones.maxIndex -> c2.ones; + connect number2tens.maxIndex -> c2.tens; + connect number2hundreds.maxIndex -> c2.hundreds; + + connect c1.number -> add.num1; + connect c2.number -> add.num2; + + connect add.sum -> out1; + +} diff --git a/onnx/gluon-load/src/emadl/models/cNNCalculator/Connector.emadl b/onnx/gluon-load/src/emadl/models/cNNCalculator/Connector.emadl new file mode 100644 index 0000000000000000000000000000000000000000..ea4390489e156b5399371c656d608ba794621c20 --- /dev/null +++ b/onnx/gluon-load/src/emadl/models/cNNCalculator/Connector.emadl @@ -0,0 +1,37 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component Connector { + ports in Z(0:255)^{1, 28, 28} image1, + in Z(0:255)^{1, 28, 28} image2, + in Z(0:255)^{1, 28, 28} image3, + in Z(0:255)^{1, 28, 28} image4, + in Z(0:255)^{1, 28, 28} image5, + in Z(0:255)^{1, 28, 28} image6, + out Z(0:1998) res; + + instance Network<10> predictor1; + instance Network<10> predictor2; + instance Network<10> predictor3; + instance Network<10> predictor4; + instance Network<10> predictor5; + instance Network<10> predictor6; + instance Calculator cal; + + connect image1 -> predictor1.data; + connect image2 -> predictor2.data; + connect image3 -> predictor3.data; + connect image4 -> predictor4.data; + connect image5 -> predictor5.data; + connect image6 -> predictor6.data; + + connect predictor1.softmax -> cal.in1_1; + connect predictor2.softmax -> cal.in1_2; + connect predictor3.softmax -> cal.in1_3; + connect predictor4.softmax -> cal.in2_1; + connect predictor5.softmax -> cal.in2_2; + connect predictor6.softmax -> cal.in2_3; + + connect cal.out1 -> res; + +} diff --git a/onnx/gluon-load/src/emadl/models/cNNCalculator/DigitCombiner.emadl b/onnx/gluon-load/src/emadl/models/cNNCalculator/DigitCombiner.emadl new file mode 100644 index 0000000000000000000000000000000000000000..1f60a59746bcc68adda8d09bd2e8d823a52b7471 --- /dev/null +++ b/onnx/gluon-load/src/emadl/models/cNNCalculator/DigitCombiner.emadl @@ -0,0 +1,14 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component DigitCombiner{ + ports + in Z(0:9) hundreds, + in Z(0:9) tens, + in Z(0:9) ones, + out Z(0:999) number; + + implementation Math{ + number = ones + 10 * tens + 100 * hundreds; + } +} diff --git a/onnx/gluon-load/src/emadl/models/cNNCalculator/Network.conf b/onnx/gluon-load/src/emadl/models/cNNCalculator/Network.conf new file mode 100644 index 0000000000000000000000000000000000000000..6910b0fd5de2302367eb228f3155ad2e6e33d5e0 --- /dev/null +++ b/onnx/gluon-load/src/emadl/models/cNNCalculator/Network.conf @@ -0,0 +1,14 @@ +/* (c) https://github.com/MontiCore/monticore */ +configuration Network{ + num_epoch:0 + batch_size:10 + normalize:false + context:cpu + load_checkpoint:false + optimizer:sgd{ + learning_rate:0.1 + learning_rate_decay:0.85 + step_size:1000 + weight_decay:0.0 + } +} diff --git a/onnx/gluon-load/src/emadl/models/cNNCalculator/Network.emadl b/onnx/gluon-load/src/emadl/models/cNNCalculator/Network.emadl new file mode 100644 index 0000000000000000000000000000000000000000..72386422e34efd4a952d3d0e9d0919691ac4f6e3 --- /dev/null +++ b/onnx/gluon-load/src/emadl/models/cNNCalculator/Network.emadl @@ -0,0 +1,20 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component Network{ + ports in Z(0:255)^{1, 28, 28} data, + out Q(-oo:oo)^{classes} softmax; + + implementation CNN { + data -> + LoadNetwork( + networkDir="tag:mnistcalc", + networkPrefix="model", + numInputs=1, + outputShape=10, + trainable=false + ) -> + softmax -> + softmax; + } +} diff --git a/onnx/gluon-load/src/emadl/models/cNNCalculator/mnistcalc.tag b/onnx/gluon-load/src/emadl/models/cNNCalculator/mnistcalc.tag new file mode 100755 index 0000000000000000000000000000000000000000..39116c70fd2fa58184b9c40b47068be5322aafec --- /dev/null +++ b/onnx/gluon-load/src/emadl/models/cNNCalculator/mnistcalc.tag @@ -0,0 +1,9 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; +conforms to dltag.DataPathTagSchema, artifacttag.LayerArtifactParameterTagSchema, + dltag.LayerPathParameterTagSchema; + +tags mnistcalculator { +tag Network with DataPath = {path = resources/training_data, type = HDF5}; +tag Network with LayerArtifactParameter = {artifact = de.monticore.lang.monticar.pretrained:mnistcalc-tensorflow:1, id = mnistcalc}; +} diff --git a/onnx/gluon-load/src/emadl/models/data_paths.txt b/onnx/gluon-load/src/emadl/models/data_paths.txt new file mode 100644 index 0000000000000000000000000000000000000000..70dd55394772066b2f969555549079a3f6265198 --- /dev/null +++ b/onnx/gluon-load/src/emadl/models/data_paths.txt @@ -0,0 +1 @@ +cNNCalculator.Network resources/training_data diff --git a/onnx/gluon-pretrained/.gitignore b/onnx/gluon-pretrained/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..4ac7b8e1c76dbc2772679380c9340fa32b393b4f --- /dev/null +++ b/onnx/gluon-pretrained/.gitignore @@ -0,0 +1,4 @@ +train.log +target/ +model/ +build/ diff --git a/onnx/gluon-pretrained/CMakeLists.txt b/onnx/gluon-pretrained/CMakeLists.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c835e626ed7908eda8b44cdc4c1b06d267783fe --- /dev/null +++ b/onnx/gluon-pretrained/CMakeLists.txt @@ -0,0 +1,6 @@ +cmake_minimum_required(VERSION 3.5) +project (default) +set (CMAKE_CXX_STANDARD 11) +add_subdirectory(src/cpp) +add_subdirectory(target) + diff --git a/onnx/gluon-pretrained/pom.xml b/onnx/gluon-pretrained/pom.xml new file mode 100644 index 0000000000000000000000000000000000000000..3d5a96ccdab90486cad640204dc0ae07aa02375f --- /dev/null +++ b/onnx/gluon-pretrained/pom.xml @@ -0,0 +1,59 @@ + + + + 4.0.0 + + de.monticore.lang.monticar.application + mnist-calculator + 0.0.2-SNAPSHOT + + + + + 1.8 + + UTF-8 + UTF-8 + + + + + + + de.monticore.lang.monticar.utilities + emadl-maven-plugin + 0.0.6-SNAPSHOT + + + GLUON + cNNCalculator.Connector + src/emadl/models + src/emadl/models + /usr/bin/python3 + + + model/cNNCalculator.Network + mnistcalc-gluon + de.monticore.lang.monticar.pretrained + 1 + + + + + + + + + + se-nexus + https://nexus.se.rwth-aachen.de/content/repositories/embeddedmontiarc-releases/ + + + se-nexus + https://nexus.se.rwth-aachen.de/content/repositories/embeddedmontiarc-snapshots/ + + + + diff --git a/onnx/gluon-pretrained/resources/images/0.png b/onnx/gluon-pretrained/resources/images/0.png new file mode 100644 index 0000000000000000000000000000000000000000..bf99edfe4e51cbc376c7ce6f9a6e0655b281595e Binary files /dev/null and b/onnx/gluon-pretrained/resources/images/0.png differ diff --git a/onnx/gluon-pretrained/resources/images/1.png b/onnx/gluon-pretrained/resources/images/1.png new file mode 100644 index 0000000000000000000000000000000000000000..69031fbac2bd2acecf7da6d1676a984e85898beb Binary files /dev/null and b/onnx/gluon-pretrained/resources/images/1.png differ diff --git a/onnx/gluon-pretrained/resources/images/2.png b/onnx/gluon-pretrained/resources/images/2.png new file mode 100644 index 0000000000000000000000000000000000000000..95c34b43b20c58e120fdc07d803968b2608770ba Binary files /dev/null and b/onnx/gluon-pretrained/resources/images/2.png differ diff --git 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/dev/null and b/onnx/gluon-pretrained/resources/images/9.png differ diff --git a/onnx/gluon-pretrained/resources/imgDir-to-h5.py b/onnx/gluon-pretrained/resources/imgDir-to-h5.py new file mode 100644 index 0000000000000000000000000000000000000000..f51585a2d584b9cbbe178619697ff23b3333d7e9 --- /dev/null +++ b/onnx/gluon-pretrained/resources/imgDir-to-h5.py @@ -0,0 +1,89 @@ +# (c) https://github.com/MontiCore/monticore +from __future__ import print_function +from __future__ import division +import h5py +import numpy as np +import cv2 +import os +import argparse +import errno +import random +import sys + + +def create_img_list(name, data_path): + dir_name = data_path + "/" + name + + image_paths = [] + image_class_indices = [] + print(dir_name) + for class_index_name in os.listdir(dir_name): + class_dir_path = dir_name + "/" + class_index_name + if os.path.isdir(class_dir_path): + for image_name in os.listdir(class_dir_path): + image_path = class_dir_path + "/" + image_name + image_paths.append(image_path) + class_index = float(class_index_name) + image_class_indices.append(class_index) + return image_paths, image_class_indices + +def create_h5_from_list(image_paths, image_class_indices, target_dir, target_file_name, input_port_name, output_port_name, shuffle=True): + img = cv2.imread(image_paths[0]) + t_img = np.transpose(img, (2,0,1)).astype(np.float32) + #t_img = t_img[-1:,:,:] + #print(t_img) + channels = t_img.shape[0] + height = t_img.shape[1] + width = t_img.shape[2] + data_size = len(image_paths) + + target_file = target_dir + "/" + target_file_name + ".h5" + if os.path.isfile(target_file): + print("File", target_file, "already exists. Skipping data file creation.") + return + try: + os.makedirs(target_dir) + except OSError as e: + if e.errno != errno.EEXIST: + raise + + if shuffle: + combined = list(zip(image_paths, image_class_indices)) + random.shuffle(combined) + image_paths[:], image_class_indices[:] = zip(*combined) + + print("Creating " + target_file + " (images:" + str(data_size) + ", channels:" + str(channels) + ", height:" + str(height) + ", width:" + str(width) + "):") + with h5py.File(target_file, "w") as ofile: + in_dset = ofile.create_dataset(input_port_name, (data_size,channels, height, width), dtype=np.float32) + out_dset = ofile.create_dataset(output_port_name + "_label", (data_size,), dtype=np.float32) + for i in range(data_size): + img = cv2.imread(image_paths[i]) + t_img = np.transpose(img, (2,0,1)).astype(np.float32) + #t_img = t_img[-1:,:,:] + in_dset[i] = t_img + out_dset[i] = image_class_indices[i] + + #print progress + if i % 100 == 0: + percentage = 100*i / data_size + sys.stdout.write("\r{:0.1f}%".format(percentage)) + sys.stdout.flush() + sys.stdout.write("\r100.0%\n") + sys.stdout.flush() + + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description='Translate image directories into hdf5 training sets for EMADL.') + parser.add_argument("--in_port", action="store", dest="in_port", default="data") + parser.add_argument("--out_port", action="store", dest="out_port", default="softmax") + parser.add_argument("--data_path", action="store", dest="data_path", default=".") + parser.add_argument("--target_path", action="store", dest="target_path", default=".") + args = parser.parse_args() + for file_name in os.listdir(args.data_path): + if file_name == "train": + image_paths, image_class_indices = create_img_list(file_name, args.data_path) + create_h5_from_list(image_paths, image_class_indices, args.target_path, file_name, args.in_port, args.out_port) + if file_name == "test": + image_paths, image_class_indices = create_img_list(file_name, args.data_path) + create_h5_from_list(image_paths, image_class_indices, args.target_path, file_name, args.in_port, args.out_port) diff --git a/onnx/gluon-pretrained/resources/training_data/test.h5 b/onnx/gluon-pretrained/resources/training_data/test.h5 new file mode 100644 index 0000000000000000000000000000000000000000..2441fa8a99e54e8d3a7ba06ecde5521997399c0b Binary files /dev/null and b/onnx/gluon-pretrained/resources/training_data/test.h5 differ diff --git a/onnx/gluon-pretrained/resources/training_data/train.h5 b/onnx/gluon-pretrained/resources/training_data/train.h5 new file mode 100644 index 0000000000000000000000000000000000000000..d525ad53f03d0cd84a14ad177215fc64b8c3b667 Binary files /dev/null and b/onnx/gluon-pretrained/resources/training_data/train.h5 differ diff --git a/onnx/gluon-pretrained/settings.xml b/onnx/gluon-pretrained/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..cfe7735c7b26edfb1c0a15130da3e22e1759b4c5 --- /dev/null +++ b/onnx/gluon-pretrained/settings.xml @@ -0,0 +1,258 @@ + + + + + + org.mortbay.jetty + de.topobyte + + + + + + + + se-nexus + cibuild + ${env.cibuild} + + + + github + travisbuilduser + ${env.travisbuilduserpassword} + + + + gitlab-maven + + + + Deploy-Token + KJkmCZosey-A8XBES2Fy + + + + + + + + + + + + sonar + + true + + + + + https://metric.se.rwth-aachen.de + + + jenkins + + + ${env.sonar} + + + + + + se-nexus + + + central + https://repo1.maven.org/maven2/ + + + + + + + + + nexus + https://nexus.se.rwth-aachen.de/content/groups/public + + true + + + true + + + + gitlab-maven + https://git.rwth-aachen.de/api/v4/projects/57999/packages/maven + + + + + jena + https://bio.informatik.uni-jena.de/repository/libs-release-oss + + + + + + + + + eclipse + https://repo.eclipse.org/content/groups/releases/ + + true + + + true + + + + jcenter + https://jcenter.bintray.com/ + + true + + + true + + + + + topobyte + http://mvn.topobyte.de/ + + true + + + true + + + + + spring + https://repo.spring.io/libs-release/ + + true + + + true + + + + + rosjava_mvn + Public Rosjava repository + https://github.com/rosjava/rosjava_mvn_repo + + + + icm + icm + http://maven.icm.edu.pl/artifactory/repo/ + + + + + + + central + http://central + + + + + + + + + nexus + https://nexus.se.rwth-aachen.de/content/groups/public + + true + + + true + + + + central + https://repo1.maven.org/maven2 + + true + + + true + + + + eclipse + https://repo.eclipse.org/content/groups/releases/ + + true + + + true + + + + jcenter + https://jcenter.bintray.com/ + + true + + + true + + + + + topobyte + http://mvn.topobyte.de/ + + true + + + true + + + + jena + https://bio.informatik.uni-jena.de/repository/libs-release-oss + + + + + + + + + + + + + + se-nexus + + diff --git a/onnx/gluon-pretrained/src/cpp/CMakeLists.txt b/onnx/gluon-pretrained/src/cpp/CMakeLists.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8bdb5d96acde4b5ab5f22e5925b3c3fbf365d35 --- /dev/null +++ b/onnx/gluon-pretrained/src/cpp/CMakeLists.txt @@ -0,0 +1,17 @@ +cmake_minimum_required(VERSION 3.5) +project(DigitCalculator CXX) +set(CMAKE_CXX_STANDARD 11) + +option(MXNET_PATH "Path to libmxnet.so") + + +add_executable(DigitCalculator DigitCalculator.cpp) + +set_target_properties(DigitCalculator PROPERTIES LINKER_LANGUAGE CXX) +find_package(OpenCV REQUIRED) +target_link_libraries(DigitCalculator ${MXNET_PATH}) +set(INCLUDE_DIRS ${INCLUDE_DIRS} ${OpenCV_INCLUDE_DIRS}) +set(LIBS ${LIBS} ${OpenCV_LIBS}) +target_link_libraries(DigitCalculator cNNCalculator_connector ${LIBS} -lblas -lopenblas) +target_include_directories(DigitCalculator PUBLIC ${CMAKE_CURRENT_SOURCE_DIR}) +export(TARGETS DigitCalculator FILE DigitCalculator.cmake) diff --git a/onnx/gluon-pretrained/src/cpp/DigitCalculator.cpp b/onnx/gluon-pretrained/src/cpp/DigitCalculator.cpp new file mode 100644 index 0000000000000000000000000000000000000000..01fa60d1e2b1923a7d1b9c09899bb2625f2c43ef --- /dev/null +++ b/onnx/gluon-pretrained/src/cpp/DigitCalculator.cpp @@ -0,0 +1,73 @@ +/* (c) https://github.com/MontiCore/monticore */ +#include "CNNTranslator.h" +#include "cNNCalculator_connector.h" +#include +#include +#include + +#include +#include //Check if it can be removed +#include +#include + +int main(int argc, char* argv[]) { + if(argc < 7){ //Note: argc=1 if no arguments are provided + std::cout << "Missing argument: Path to 6 test images must be provided " << std::endl; + exit(1); + } + + + cNNCalculator_connector connector; + connector.init(); + + for(int n = 0; n < 6; n++) { + std::string filePath = argv[n+1]; + + if (!std::ifstream(filePath).good()) { + std::cerr << "Image loading failure, test image '" << filePath << "' does not exist." << std::endl; + exit(1); + } + + cv::Mat img = cv::imread(filePath); + std::cout << "== original image size: " << img.size() << " ==" << std::endl; + + // scale image to fit + cv::Size scale(28,28); + cv::resize(img, img, scale); + std::cout << "== simply resize: " << img.size() << " ==" << std::endl; + + size_t channels = 1; + size_t height = img.rows; + size_t width = img.cols; + vector data(channels*height*width); + + for(size_t j=0; j(j, k); + for(size_t i=0; i::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + if(n == 1) + connector.image2 = conv_to< icube >::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + if(n == 2) + connector.image3 = conv_to< icube >::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + if(n == 3) + connector.image4 = conv_to< icube >::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + if(n == 4) + connector.image5 = conv_to< icube >::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + if(n == 5) + connector.image6 = conv_to< icube >::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + } + + connector.execute(); + + int classIndex = (int)connector.res; + std::cout << "== SUM: " << classIndex << std::endl; + + return 0; +} diff --git a/onnx/gluon-pretrained/src/emadl/models/cNNCalculator/Add.emadl b/onnx/gluon-pretrained/src/emadl/models/cNNCalculator/Add.emadl new file mode 100644 index 0000000000000000000000000000000000000000..c4358d95b2ad8e8cec283667743723bbb7310fae --- /dev/null +++ b/onnx/gluon-pretrained/src/emadl/models/cNNCalculator/Add.emadl @@ -0,0 +1,13 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component Add{ + ports + in Z(0:999) num1, + in Z(0:999) num2, + out Z(0:1998) sum; + + implementation Math{ + sum = num1 + num2; + } +} diff --git a/onnx/gluon-pretrained/src/emadl/models/cNNCalculator/ArgMax.emadl b/onnx/gluon-pretrained/src/emadl/models/cNNCalculator/ArgMax.emadl new file mode 100644 index 0000000000000000000000000000000000000000..6a3ed483ec28446815b13d592f7edbf98be539c1 --- /dev/null +++ b/onnx/gluon-pretrained/src/emadl/models/cNNCalculator/ArgMax.emadl @@ -0,0 +1,20 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component ArgMax{ + ports in Q^{n} inputVector, + out Z(0:oo) maxIndex, + out Q maxValue; + + implementation Math{ + maxIndex = 0; + maxValue = inputVector(1); + + for i = 2:n + if inputVector(i) > maxValue + maxIndex = i - 1; + maxValue = inputVector(i); + end + end + } +} diff --git a/onnx/gluon-pretrained/src/emadl/models/cNNCalculator/Calculator.emadl b/onnx/gluon-pretrained/src/emadl/models/cNNCalculator/Calculator.emadl new file mode 100644 index 0000000000000000000000000000000000000000..bd86c0cb42691cf0281b750c70a8f5820d956841 --- /dev/null +++ b/onnx/gluon-pretrained/src/emadl/models/cNNCalculator/Calculator.emadl @@ -0,0 +1,45 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component Calculator { + ports + in Q(0:1)^10 in1_1, + in Q(0:1)^10 in1_2, + in Q(0:1)^10 in1_3, + in Q(0:1)^10 in2_1, + in Q(0:1)^10 in2_2, + in Q(0:1)^10 in2_3, + + out Z(0:1998) out1; + + instance ArgMax<10> number1ones; + instance ArgMax<10> number1tens; + instance ArgMax<10> number1hundreds; + instance ArgMax<10> number2ones; + instance ArgMax<10> number2tens; + instance ArgMax<10> number2hundreds; + instance DigitCombiner c1; + instance DigitCombiner c2; + instance Add add; + + + connect in1_1 -> number1hundreds.inputVector; + connect in1_2 -> number1tens.inputVector; + connect in1_3 -> number1ones.inputVector; + connect in2_1 -> number2hundreds.inputVector; + connect in2_2 -> number2tens.inputVector; + connect in2_3 -> number2ones.inputVector; + + connect number1ones.maxIndex -> c1.ones; + connect number1tens.maxIndex -> c1.tens; + connect number1hundreds.maxIndex -> c1.hundreds; + connect number2ones.maxIndex -> c2.ones; + connect number2tens.maxIndex -> c2.tens; + connect number2hundreds.maxIndex -> c2.hundreds; + + connect c1.number -> add.num1; + connect c2.number -> add.num2; + + connect add.sum -> out1; + +} diff --git a/onnx/gluon-pretrained/src/emadl/models/cNNCalculator/Connector.emadl b/onnx/gluon-pretrained/src/emadl/models/cNNCalculator/Connector.emadl new file mode 100644 index 0000000000000000000000000000000000000000..ea4390489e156b5399371c656d608ba794621c20 --- /dev/null +++ b/onnx/gluon-pretrained/src/emadl/models/cNNCalculator/Connector.emadl @@ -0,0 +1,37 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component Connector { + ports in Z(0:255)^{1, 28, 28} image1, + in Z(0:255)^{1, 28, 28} image2, + in Z(0:255)^{1, 28, 28} image3, + in Z(0:255)^{1, 28, 28} image4, + in Z(0:255)^{1, 28, 28} image5, + in Z(0:255)^{1, 28, 28} image6, + out Z(0:1998) res; + + instance Network<10> predictor1; + instance Network<10> predictor2; + instance Network<10> predictor3; + instance Network<10> predictor4; + instance Network<10> predictor5; + instance Network<10> predictor6; + instance Calculator cal; + + connect image1 -> predictor1.data; + connect image2 -> predictor2.data; + connect image3 -> predictor3.data; + connect image4 -> predictor4.data; + connect image5 -> predictor5.data; + connect image6 -> predictor6.data; + + connect predictor1.softmax -> cal.in1_1; + connect predictor2.softmax -> cal.in1_2; + connect predictor3.softmax -> cal.in1_3; + connect predictor4.softmax -> cal.in2_1; + connect predictor5.softmax -> cal.in2_2; + connect predictor6.softmax -> cal.in2_3; + + connect cal.out1 -> res; + +} diff --git a/onnx/gluon-pretrained/src/emadl/models/cNNCalculator/DigitCombiner.emadl b/onnx/gluon-pretrained/src/emadl/models/cNNCalculator/DigitCombiner.emadl new file mode 100644 index 0000000000000000000000000000000000000000..1f60a59746bcc68adda8d09bd2e8d823a52b7471 --- /dev/null +++ b/onnx/gluon-pretrained/src/emadl/models/cNNCalculator/DigitCombiner.emadl @@ -0,0 +1,14 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component DigitCombiner{ + ports + in Z(0:9) hundreds, + in Z(0:9) tens, + in 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+#elif defined(__WATCOMC__) && __WATCOMC__ < 1200 +# define COMPILER_ID "Watcom" + /* __WATCOMC__ = VVRR */ +# define COMPILER_VERSION_MAJOR DEC(__WATCOMC__ / 100) +# define COMPILER_VERSION_MINOR DEC((__WATCOMC__ / 10) % 10) +# if (__WATCOMC__ % 10) > 0 +# define COMPILER_VERSION_PATCH DEC(__WATCOMC__ % 10) +# endif + +#elif defined(__WATCOMC__) +# define COMPILER_ID "OpenWatcom" + /* __WATCOMC__ = VVRP + 1100 */ +# define COMPILER_VERSION_MAJOR DEC((__WATCOMC__ - 1100) / 100) +# define COMPILER_VERSION_MINOR DEC((__WATCOMC__ / 10) % 10) +# if (__WATCOMC__ % 10) > 0 +# define COMPILER_VERSION_PATCH DEC(__WATCOMC__ % 10) +# endif + +#elif defined(__SUNPRO_C) +# define COMPILER_ID "SunPro" +# if __SUNPRO_C >= 0x5100 + /* __SUNPRO_C = 0xVRRP */ +# define COMPILER_VERSION_MAJOR HEX(__SUNPRO_C>>12) +# define COMPILER_VERSION_MINOR HEX(__SUNPRO_C>>4 & 0xFF) +# define COMPILER_VERSION_PATCH HEX(__SUNPRO_C & 0xF) +# else + /* __SUNPRO_CC = 0xVRP */ +# define COMPILER_VERSION_MAJOR HEX(__SUNPRO_C>>8) +# define COMPILER_VERSION_MINOR HEX(__SUNPRO_C>>4 & 0xF) +# define COMPILER_VERSION_PATCH HEX(__SUNPRO_C & 0xF) +# endif + +#elif defined(__HP_cc) +# define COMPILER_ID "HP" + /* __HP_cc = VVRRPP */ +# define COMPILER_VERSION_MAJOR DEC(__HP_cc/10000) +# define COMPILER_VERSION_MINOR DEC(__HP_cc/100 % 100) +# define COMPILER_VERSION_PATCH DEC(__HP_cc % 100) + +#elif defined(__DECC) +# define COMPILER_ID "Compaq" + /* __DECC_VER = VVRRTPPPP */ +# define COMPILER_VERSION_MAJOR DEC(__DECC_VER/10000000) +# define COMPILER_VERSION_MINOR DEC(__DECC_VER/100000 % 100) +# define COMPILER_VERSION_PATCH DEC(__DECC_VER % 10000) + +#elif defined(__IBMC__) && defined(__COMPILER_VER__) +# define COMPILER_ID "zOS" + /* __IBMC__ = VRP */ +# define COMPILER_VERSION_MAJOR DEC(__IBMC__/100) +# define COMPILER_VERSION_MINOR DEC(__IBMC__/10 % 10) +# define COMPILER_VERSION_PATCH DEC(__IBMC__ % 10) + +#elif defined(__IBMC__) && !defined(__COMPILER_VER__) && __IBMC__ >= 800 +# define COMPILER_ID "XL" + /* __IBMC__ = VRP */ +# define COMPILER_VERSION_MAJOR DEC(__IBMC__/100) +# define COMPILER_VERSION_MINOR DEC(__IBMC__/10 % 10) +# define COMPILER_VERSION_PATCH DEC(__IBMC__ % 10) + +#elif defined(__IBMC__) && !defined(__COMPILER_VER__) && __IBMC__ < 800 +# define COMPILER_ID "VisualAge" + /* __IBMC__ = VRP */ +# define COMPILER_VERSION_MAJOR DEC(__IBMC__/100) +# define COMPILER_VERSION_MINOR DEC(__IBMC__/10 % 10) +# define COMPILER_VERSION_PATCH DEC(__IBMC__ % 10) + +#elif defined(__PGI) +# define COMPILER_ID "PGI" +# define COMPILER_VERSION_MAJOR DEC(__PGIC__) +# define COMPILER_VERSION_MINOR DEC(__PGIC_MINOR__) +# if defined(__PGIC_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__PGIC_PATCHLEVEL__) +# endif + +#elif defined(_CRAYC) +# define COMPILER_ID "Cray" +# define COMPILER_VERSION_MAJOR DEC(_RELEASE_MAJOR) +# define COMPILER_VERSION_MINOR DEC(_RELEASE_MINOR) + +#elif defined(__TI_COMPILER_VERSION__) +# define COMPILER_ID "TI" + /* __TI_COMPILER_VERSION__ = VVVRRRPPP */ +# define COMPILER_VERSION_MAJOR DEC(__TI_COMPILER_VERSION__/1000000) +# define COMPILER_VERSION_MINOR DEC(__TI_COMPILER_VERSION__/1000 % 1000) +# define COMPILER_VERSION_PATCH DEC(__TI_COMPILER_VERSION__ % 1000) + +#elif defined(__FUJITSU) || defined(__FCC_VERSION) || defined(__fcc_version) +# define COMPILER_ID "Fujitsu" + +#elif defined(__TINYC__) +# define COMPILER_ID "TinyCC" + +#elif defined(__SCO_VERSION__) +# define COMPILER_ID "SCO" + +#elif defined(__clang__) && defined(__apple_build_version__) +# define COMPILER_ID "AppleClang" +# if defined(_MSC_VER) +# define SIMULATE_ID "MSVC" +# endif +# define COMPILER_VERSION_MAJOR DEC(__clang_major__) +# define COMPILER_VERSION_MINOR DEC(__clang_minor__) +# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__) +# if defined(_MSC_VER) + /* _MSC_VER = VVRR */ +# define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100) +# define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100) +# endif +# define COMPILER_VERSION_TWEAK DEC(__apple_build_version__) + +#elif defined(__clang__) +# define COMPILER_ID "Clang" +# if defined(_MSC_VER) +# define SIMULATE_ID "MSVC" +# endif +# define COMPILER_VERSION_MAJOR DEC(__clang_major__) +# define COMPILER_VERSION_MINOR DEC(__clang_minor__) +# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__) +# if defined(_MSC_VER) + /* _MSC_VER = VVRR */ +# define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100) +# define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100) +# endif + +#elif defined(__GNUC__) +# define COMPILER_ID "GNU" +# define COMPILER_VERSION_MAJOR DEC(__GNUC__) +# if defined(__GNUC_MINOR__) +# define COMPILER_VERSION_MINOR DEC(__GNUC_MINOR__) +# endif +# if defined(__GNUC_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__) +# endif + +#elif defined(_MSC_VER) +# define COMPILER_ID "MSVC" + /* _MSC_VER = VVRR */ +# define COMPILER_VERSION_MAJOR DEC(_MSC_VER / 100) +# define COMPILER_VERSION_MINOR DEC(_MSC_VER % 100) +# if defined(_MSC_FULL_VER) +# if _MSC_VER >= 1400 + /* _MSC_FULL_VER = VVRRPPPPP */ +# define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 100000) +# else + /* _MSC_FULL_VER = VVRRPPPP */ +# define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 10000) +# endif +# endif +# if defined(_MSC_BUILD) +# define COMPILER_VERSION_TWEAK DEC(_MSC_BUILD) +# endif + +#elif defined(__VISUALDSPVERSION__) || defined(__ADSPBLACKFIN__) || defined(__ADSPTS__) || defined(__ADSP21000__) +# define COMPILER_ID "ADSP" +#if defined(__VISUALDSPVERSION__) + /* __VISUALDSPVERSION__ = 0xVVRRPP00 */ +# define COMPILER_VERSION_MAJOR HEX(__VISUALDSPVERSION__>>24) +# define COMPILER_VERSION_MINOR HEX(__VISUALDSPVERSION__>>16 & 0xFF) +# define COMPILER_VERSION_PATCH HEX(__VISUALDSPVERSION__>>8 & 0xFF) +#endif + +#elif defined(__IAR_SYSTEMS_ICC__ ) || defined(__IAR_SYSTEMS_ICC) +# define COMPILER_ID "IAR" + +#elif defined(__ARMCC_VERSION) +# define COMPILER_ID "ARMCC" +#if __ARMCC_VERSION >= 1000000 + /* __ARMCC_VERSION = VRRPPPP */ + # define COMPILER_VERSION_MAJOR DEC(__ARMCC_VERSION/1000000) + # define COMPILER_VERSION_MINOR DEC(__ARMCC_VERSION/10000 % 100) + # define COMPILER_VERSION_PATCH DEC(__ARMCC_VERSION % 10000) +#else + /* __ARMCC_VERSION = VRPPPP */ + # define COMPILER_VERSION_MAJOR DEC(__ARMCC_VERSION/100000) + # define COMPILER_VERSION_MINOR DEC(__ARMCC_VERSION/10000 % 10) + # define COMPILER_VERSION_PATCH DEC(__ARMCC_VERSION % 10000) +#endif + + +#elif defined(SDCC) +# define COMPILER_ID "SDCC" + /* SDCC = VRP */ +# define COMPILER_VERSION_MAJOR DEC(SDCC/100) +# define COMPILER_VERSION_MINOR DEC(SDCC/10 % 10) +# define COMPILER_VERSION_PATCH DEC(SDCC % 10) + +#elif defined(_SGI_COMPILER_VERSION) || defined(_COMPILER_VERSION) +# define COMPILER_ID "MIPSpro" +# if defined(_SGI_COMPILER_VERSION) + /* _SGI_COMPILER_VERSION = VRP */ +# define COMPILER_VERSION_MAJOR DEC(_SGI_COMPILER_VERSION/100) +# define COMPILER_VERSION_MINOR DEC(_SGI_COMPILER_VERSION/10 % 10) +# define COMPILER_VERSION_PATCH DEC(_SGI_COMPILER_VERSION % 10) +# else + /* _COMPILER_VERSION = VRP */ +# define COMPILER_VERSION_MAJOR DEC(_COMPILER_VERSION/100) +# define COMPILER_VERSION_MINOR DEC(_COMPILER_VERSION/10 % 10) +# define COMPILER_VERSION_PATCH DEC(_COMPILER_VERSION % 10) +# endif + + +/* These compilers are either not known or too old to define an + identification macro. Try to identify the platform and guess that + it is the native compiler. */ +#elif defined(__sgi) +# define COMPILER_ID "MIPSpro" + +#elif defined(__hpux) || defined(__hpua) +# define COMPILER_ID "HP" + +#else /* unknown compiler */ +# define COMPILER_ID "" +#endif + +/* Construct the string literal in pieces to prevent the source from + getting matched. Store it in a pointer rather than an array + because some compilers will just produce instructions to fill the + array rather than assigning a pointer to a static array. */ +char const* info_compiler = "INFO" ":" "compiler[" COMPILER_ID "]"; +#ifdef SIMULATE_ID +char const* info_simulate = "INFO" ":" "simulate[" SIMULATE_ID "]"; +#endif + +#ifdef __QNXNTO__ +char const* qnxnto = "INFO" ":" "qnxnto[]"; +#endif + +#if defined(__CRAYXE) || defined(__CRAYXC) +char const *info_cray = "INFO" ":" "compiler_wrapper[CrayPrgEnv]"; +#endif + +#define STRINGIFY_HELPER(X) #X +#define STRINGIFY(X) STRINGIFY_HELPER(X) + +/* Identify known platforms by name. */ +#if defined(__linux) || defined(__linux__) || defined(linux) +# define PLATFORM_ID "Linux" + +#elif defined(__CYGWIN__) +# define PLATFORM_ID "Cygwin" + +#elif defined(__MINGW32__) +# define PLATFORM_ID "MinGW" + +#elif defined(__APPLE__) +# define PLATFORM_ID "Darwin" + +#elif defined(_WIN32) || defined(__WIN32__) || defined(WIN32) +# define PLATFORM_ID "Windows" + +#elif defined(__FreeBSD__) || defined(__FreeBSD) +# define PLATFORM_ID "FreeBSD" + +#elif defined(__NetBSD__) || defined(__NetBSD) +# define PLATFORM_ID "NetBSD" + +#elif defined(__OpenBSD__) || defined(__OPENBSD) +# define PLATFORM_ID "OpenBSD" + +#elif defined(__sun) || defined(sun) +# define PLATFORM_ID "SunOS" + +#elif defined(_AIX) || defined(__AIX) || defined(__AIX__) || defined(__aix) || defined(__aix__) +# define PLATFORM_ID "AIX" + +#elif defined(__sgi) || defined(__sgi__) || defined(_SGI) +# define PLATFORM_ID "IRIX" + +#elif defined(__hpux) || defined(__hpux__) +# define PLATFORM_ID "HP-UX" + +#elif defined(__HAIKU__) +# define PLATFORM_ID "Haiku" + +#elif defined(__BeOS) || defined(__BEOS__) || defined(_BEOS) +# define PLATFORM_ID "BeOS" + +#elif defined(__QNX__) || defined(__QNXNTO__) +# define PLATFORM_ID "QNX" + +#elif defined(__tru64) || defined(_tru64) || defined(__TRU64__) +# define PLATFORM_ID "Tru64" + +#elif defined(__riscos) || defined(__riscos__) +# define PLATFORM_ID "RISCos" + +#elif defined(__sinix) || defined(__sinix__) || defined(__SINIX__) +# define PLATFORM_ID "SINIX" + +#elif defined(__UNIX_SV__) +# define PLATFORM_ID "UNIX_SV" + +#elif defined(__bsdos__) +# define PLATFORM_ID "BSDOS" + +#elif defined(_MPRAS) || defined(MPRAS) +# define PLATFORM_ID "MP-RAS" + +#elif defined(__osf) || defined(__osf__) +# define PLATFORM_ID "OSF1" + +#elif defined(_SCO_SV) || defined(SCO_SV) || defined(sco_sv) +# define PLATFORM_ID "SCO_SV" + +#elif defined(__ultrix) || defined(__ultrix__) || defined(_ULTRIX) +# define PLATFORM_ID "ULTRIX" + +#elif defined(__XENIX__) || defined(_XENIX) || defined(XENIX) +# define PLATFORM_ID "Xenix" + +#elif defined(__WATCOMC__) +# if defined(__LINUX__) +# define PLATFORM_ID "Linux" + +# elif defined(__DOS__) +# define PLATFORM_ID "DOS" + +# elif defined(__OS2__) +# define PLATFORM_ID "OS2" + +# elif defined(__WINDOWS__) +# define PLATFORM_ID "Windows3x" + +# else /* unknown platform */ +# define PLATFORM_ID "" +# endif + +#else /* unknown platform */ +# define PLATFORM_ID "" + +#endif + +/* For windows compilers MSVC and Intel we can determine + the architecture of the compiler being used. This is because + the compilers do not have flags that can change the architecture, + but rather depend on which compiler is being used +*/ +#if defined(_WIN32) && defined(_MSC_VER) +# if defined(_M_IA64) +# define ARCHITECTURE_ID "IA64" + +# elif defined(_M_X64) || defined(_M_AMD64) +# define ARCHITECTURE_ID "x64" + +# elif defined(_M_IX86) +# define ARCHITECTURE_ID "X86" + +# elif defined(_M_ARM) +# if _M_ARM == 4 +# define ARCHITECTURE_ID "ARMV4I" +# elif _M_ARM == 5 +# define ARCHITECTURE_ID "ARMV5I" +# else +# define ARCHITECTURE_ID "ARMV" STRINGIFY(_M_ARM) +# endif + +# elif defined(_M_MIPS) +# define ARCHITECTURE_ID "MIPS" + +# elif defined(_M_SH) +# define ARCHITECTURE_ID "SHx" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__WATCOMC__) +# if defined(_M_I86) +# define ARCHITECTURE_ID "I86" + +# elif defined(_M_IX86) +# define ARCHITECTURE_ID "X86" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#else +# define ARCHITECTURE_ID "" +#endif + +/* Convert integer to decimal digit literals. */ +#define DEC(n) \ + ('0' + (((n) / 10000000)%10)), \ + ('0' + (((n) / 1000000)%10)), \ + ('0' + (((n) / 100000)%10)), \ + ('0' + (((n) / 10000)%10)), \ + ('0' + (((n) / 1000)%10)), \ + ('0' + (((n) / 100)%10)), \ + ('0' + (((n) / 10)%10)), \ + ('0' + ((n) % 10)) + +/* Convert integer to hex digit literals. */ +#define HEX(n) \ + ('0' + ((n)>>28 & 0xF)), \ + ('0' + ((n)>>24 & 0xF)), \ + ('0' + ((n)>>20 & 0xF)), \ + ('0' + ((n)>>16 & 0xF)), \ + ('0' + ((n)>>12 & 0xF)), \ + ('0' + ((n)>>8 & 0xF)), \ + ('0' + ((n)>>4 & 0xF)), \ + ('0' + ((n) & 0xF)) + +/* Construct a string literal encoding the version number components. */ +#ifdef COMPILER_VERSION_MAJOR +char const info_version[] = { + 'I', 'N', 'F', 'O', ':', + 'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','[', + COMPILER_VERSION_MAJOR, +# ifdef COMPILER_VERSION_MINOR + '.', COMPILER_VERSION_MINOR, +# ifdef COMPILER_VERSION_PATCH + '.', COMPILER_VERSION_PATCH, +# ifdef COMPILER_VERSION_TWEAK + '.', COMPILER_VERSION_TWEAK, +# endif +# endif +# endif + ']','\0'}; +#endif + +/* Construct a string literal encoding the version number components. */ +#ifdef SIMULATE_VERSION_MAJOR +char const info_simulate_version[] = { + 'I', 'N', 'F', 'O', ':', + 's','i','m','u','l','a','t','e','_','v','e','r','s','i','o','n','[', + SIMULATE_VERSION_MAJOR, +# ifdef SIMULATE_VERSION_MINOR + '.', SIMULATE_VERSION_MINOR, +# ifdef SIMULATE_VERSION_PATCH + '.', SIMULATE_VERSION_PATCH, +# ifdef SIMULATE_VERSION_TWEAK + '.', SIMULATE_VERSION_TWEAK, +# endif +# endif +# endif + ']','\0'}; +#endif + +/* Construct the string literal in pieces to prevent the source from + getting matched. Store it in a pointer rather than an array + because some compilers will just produce instructions to fill the + array rather than assigning a pointer to a static array. */ +char const* info_platform = "INFO" ":" "platform[" PLATFORM_ID "]"; +char const* info_arch = "INFO" ":" "arch[" ARCHITECTURE_ID "]"; + + + + +const char* info_language_dialect_default = "INFO" ":" "dialect_default[" +#if !defined(__STDC_VERSION__) + "90" +#elif __STDC_VERSION__ >= 201000L + "11" +#elif __STDC_VERSION__ >= 199901L + "99" +#else +#endif +"]"; + +/*--------------------------------------------------------------------------*/ + +#ifdef ID_VOID_MAIN +void main() {} +#else +int main(int argc, char* argv[]) +{ + int require = 0; + require += info_compiler[argc]; + require += info_platform[argc]; + require += info_arch[argc]; +#ifdef COMPILER_VERSION_MAJOR + require += info_version[argc]; +#endif +#ifdef SIMULATE_ID + require += info_simulate[argc]; +#endif +#ifdef SIMULATE_VERSION_MAJOR + require += info_simulate_version[argc]; +#endif +#if defined(__CRAYXE) || defined(__CRAYXC) + require += info_cray[argc]; +#endif + require += info_language_dialect_default[argc]; + (void)argv; + return require; +} +#endif diff --git a/onnx/tensorflow-pretrained/CMakeFiles/3.5.1/CompilerIdC/a.out b/onnx/tensorflow-pretrained/CMakeFiles/3.5.1/CompilerIdC/a.out new file mode 100755 index 0000000000000000000000000000000000000000..3e779cddc6621457f3aa2ca25bab3125c9c419b2 Binary files /dev/null and b/onnx/tensorflow-pretrained/CMakeFiles/3.5.1/CompilerIdC/a.out differ diff --git a/onnx/tensorflow-pretrained/CMakeFiles/3.5.1/CompilerIdCXX/CMakeCXXCompilerId.cpp b/onnx/tensorflow-pretrained/CMakeFiles/3.5.1/CompilerIdCXX/CMakeCXXCompilerId.cpp new file mode 100644 index 0000000000000000000000000000000000000000..b7e4dacdb82c5e613f3e55285e8bc99a50f5e868 --- /dev/null +++ b/onnx/tensorflow-pretrained/CMakeFiles/3.5.1/CompilerIdCXX/CMakeCXXCompilerId.cpp @@ -0,0 +1,534 @@ +/* (c) https://github.com/MontiCore/monticore */ +/* This source file must have a .cpp extension so that all C++ compilers + recognize the extension without flags. Borland does not know .cxx for + example. */ +#ifndef __cplusplus +# error "A C compiler has been selected for C++." +#endif + + +/* Version number components: V=Version, R=Revision, P=Patch + Version date components: YYYY=Year, MM=Month, DD=Day */ + +#if defined(__COMO__) +# define COMPILER_ID "Comeau" + /* __COMO_VERSION__ = VRR */ +# define COMPILER_VERSION_MAJOR DEC(__COMO_VERSION__ / 100) +# define COMPILER_VERSION_MINOR DEC(__COMO_VERSION__ % 100) + +#elif defined(__INTEL_COMPILER) || defined(__ICC) +# define COMPILER_ID "Intel" +# if defined(_MSC_VER) +# define SIMULATE_ID "MSVC" +# endif + /* __INTEL_COMPILER = VRP */ +# define COMPILER_VERSION_MAJOR DEC(__INTEL_COMPILER/100) +# define COMPILER_VERSION_MINOR DEC(__INTEL_COMPILER/10 % 10) +# if defined(__INTEL_COMPILER_UPDATE) +# define COMPILER_VERSION_PATCH DEC(__INTEL_COMPILER_UPDATE) +# else +# define COMPILER_VERSION_PATCH DEC(__INTEL_COMPILER % 10) +# endif +# if defined(__INTEL_COMPILER_BUILD_DATE) + /* __INTEL_COMPILER_BUILD_DATE = YYYYMMDD */ +# define COMPILER_VERSION_TWEAK DEC(__INTEL_COMPILER_BUILD_DATE) +# endif +# if defined(_MSC_VER) + /* _MSC_VER = VVRR */ +# define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100) +# define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100) +# endif + +#elif defined(__PATHCC__) +# define COMPILER_ID "PathScale" +# define COMPILER_VERSION_MAJOR DEC(__PATHCC__) +# define COMPILER_VERSION_MINOR DEC(__PATHCC_MINOR__) +# if defined(__PATHCC_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__PATHCC_PATCHLEVEL__) +# endif + +#elif defined(__BORLANDC__) && defined(__CODEGEARC_VERSION__) +# define COMPILER_ID "Embarcadero" +# define COMPILER_VERSION_MAJOR HEX(__CODEGEARC_VERSION__>>24 & 0x00FF) +# define COMPILER_VERSION_MINOR HEX(__CODEGEARC_VERSION__>>16 & 0x00FF) +# define COMPILER_VERSION_PATCH DEC(__CODEGEARC_VERSION__ & 0xFFFF) + +#elif defined(__BORLANDC__) +# define COMPILER_ID "Borland" + /* __BORLANDC__ = 0xVRR */ +# define COMPILER_VERSION_MAJOR 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+import h5py +import numpy as np +import cv2 +import os +import argparse +import errno +import random +import sys + + +def create_img_list(name, data_path): + dir_name = data_path + "/" + name + + image_paths = [] + image_class_indices = [] + print(dir_name) + for class_index_name in os.listdir(dir_name): + class_dir_path = dir_name + "/" + class_index_name + if os.path.isdir(class_dir_path): + for image_name in os.listdir(class_dir_path): + image_path = class_dir_path + "/" + image_name + image_paths.append(image_path) + class_index = float(class_index_name) + image_class_indices.append(class_index) + return image_paths, image_class_indices + +def create_h5_from_list(image_paths, image_class_indices, target_dir, target_file_name, input_port_name, output_port_name, shuffle=True): + img = cv2.imread(image_paths[0]) + t_img = np.transpose(img, (2,0,1)).astype(np.float32) + #t_img = t_img[-1:,:,:] + #print(t_img) + channels = t_img.shape[0] + height = t_img.shape[1] + width = t_img.shape[2] + data_size = len(image_paths) + + target_file = target_dir + "/" + target_file_name + ".h5" + if os.path.isfile(target_file): + print("File", target_file, "already exists. Skipping data file creation.") + return + try: + os.makedirs(target_dir) + except OSError as e: + if e.errno != errno.EEXIST: + raise + + if shuffle: + combined = list(zip(image_paths, image_class_indices)) + random.shuffle(combined) + image_paths[:], image_class_indices[:] = zip(*combined) + + print("Creating " + target_file + " (images:" + str(data_size) + ", channels:" + str(channels) + ", height:" + str(height) + ", width:" + str(width) + "):") + with h5py.File(target_file, "w") as ofile: + in_dset = ofile.create_dataset(input_port_name, (data_size,channels, height, width), dtype=np.float32) + out_dset = ofile.create_dataset(output_port_name + "_label", (data_size,), dtype=np.float32) + for i in range(data_size): + img = cv2.imread(image_paths[i]) + t_img = np.transpose(img, (2,0,1)).astype(np.float32) + #t_img = t_img[-1:,:,:] + in_dset[i] = t_img + out_dset[i] = image_class_indices[i] + + #print progress + if i % 100 == 0: + percentage = 100*i / data_size + sys.stdout.write("\r{:0.1f}%".format(percentage)) + sys.stdout.flush() + sys.stdout.write("\r100.0%\n") + sys.stdout.flush() + + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description='Translate image directories into hdf5 training sets for EMADL.') + parser.add_argument("--in_port", action="store", dest="in_port", default="data") + parser.add_argument("--out_port", action="store", dest="out_port", default="softmax") + parser.add_argument("--data_path", action="store", dest="data_path", default=".") + parser.add_argument("--target_path", action="store", dest="target_path", default=".") + args = parser.parse_args() + for file_name in os.listdir(args.data_path): + if file_name == "train": + image_paths, image_class_indices = create_img_list(file_name, args.data_path) + create_h5_from_list(image_paths, image_class_indices, args.target_path, file_name, args.in_port, args.out_port) + if file_name == "test": + image_paths, image_class_indices = create_img_list(file_name, args.data_path) + create_h5_from_list(image_paths, image_class_indices, args.target_path, file_name, args.in_port, args.out_port) diff --git a/onnx/tensorflow-pretrained/resources/training_data/test.h5 b/onnx/tensorflow-pretrained/resources/training_data/test.h5 new file mode 100644 index 0000000000000000000000000000000000000000..2441fa8a99e54e8d3a7ba06ecde5521997399c0b Binary files /dev/null and b/onnx/tensorflow-pretrained/resources/training_data/test.h5 differ diff --git a/onnx/tensorflow-pretrained/resources/training_data/train.h5 b/onnx/tensorflow-pretrained/resources/training_data/train.h5 new file mode 100644 index 0000000000000000000000000000000000000000..d525ad53f03d0cd84a14ad177215fc64b8c3b667 Binary files /dev/null and b/onnx/tensorflow-pretrained/resources/training_data/train.h5 differ diff --git a/onnx/tensorflow-pretrained/settings.xml b/onnx/tensorflow-pretrained/settings.xml new file mode 100644 index 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+set_target_properties(DigitCalculator PROPERTIES + IMPORTED_LOCATION_NOCONFIG "/home/julian/Documents/mnistcalculator/tensorflow/src/cpp/DigitCalculator" + ) + +# This file does not depend on other imported targets which have +# been exported from the same project but in a separate export set. + +# Commands beyond this point should not need to know the version. +set(CMAKE_IMPORT_FILE_VERSION) +cmake_policy(POP) diff --git a/onnx/tensorflow-pretrained/src/cpp/DigitCalculator.cpp b/onnx/tensorflow-pretrained/src/cpp/DigitCalculator.cpp new file mode 100644 index 0000000000000000000000000000000000000000..9afab676bf15dc1578f8a9152254f96a212b4c31 --- /dev/null +++ b/onnx/tensorflow-pretrained/src/cpp/DigitCalculator.cpp @@ -0,0 +1,73 @@ +/* (c) https://github.com/MontiCore/monticore */ +#include "cNNCalculator_connector.h" +#include "CNNTranslator.h" +#include +#include +#include + +#include +#include //Check if it can be removed +#include +#include + +int main(int argc, char* argv[]) { + if(argc < 7){ //Note: argc=1 if no arguments are provided + std::cout << "Missing argument: Path to 6 test images must be provided " << std::endl; + exit(1); + } + + + cNNCalculator_connector connector; + connector.init(); + + for(int n = 0; n < 6; n++) { + std::string filePath = argv[n+1]; + + if (!std::ifstream(filePath).good()) { + std::cerr << "Image loading failure, test image '" << filePath << "' does not exist." << std::endl; + exit(1); + } + + cv::Mat img = cv::imread(filePath); + std::cout << "== original image size: " << img.size() << " ==" << std::endl; + + // scale image to fit + cv::Size scale(28,28); + cv::resize(img, img, scale); + std::cout << "== simply resize: " << img.size() << " ==" << std::endl; + + size_t channels = 1; + size_t height = img.rows; + size_t width = img.cols; + vector data(channels*height*width); + + for(size_t j=0; j(j, k); + for(size_t i=0; i::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + if(n == 1) + connector.image2 = conv_to< icube >::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + if(n == 2) + connector.image3 = conv_to< icube >::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + if(n == 3) + connector.image4 = conv_to< icube >::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + if(n == 4) + connector.image5 = conv_to< icube >::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + if(n == 5) + connector.image6 = conv_to< icube >::from( CNNTranslator::translateToCube(data, vector {channels,height,width}) ); + } + + connector.execute(); + + int classIndex = (int)connector.res; + std::cout << "== SUM: " << classIndex << std::endl; + + return 0; +} diff --git a/onnx/tensorflow-pretrained/src/cpp/Makefile b/onnx/tensorflow-pretrained/src/cpp/Makefile new file mode 100644 index 0000000000000000000000000000000000000000..c2471a1f879dc534c92b7d55e955610bb8547dc2 --- 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src/cpp/CMakeFiles/DigitCalculator.dir/DigitCalculator.cpp.i +.PHONY : DigitCalculator.cpp.i + +DigitCalculator.s: DigitCalculator.cpp.s + +.PHONY : DigitCalculator.s + +# target to generate assembly for a file +DigitCalculator.cpp.s: + cd /home/julian/Documents/mnistcalculator/tensorflow && $(MAKE) -f src/cpp/CMakeFiles/DigitCalculator.dir/build.make src/cpp/CMakeFiles/DigitCalculator.dir/DigitCalculator.cpp.s +.PHONY : DigitCalculator.cpp.s + +# Help Target +help: + @echo "The following are some of the valid targets for this Makefile:" + @echo "... all (the default if no target is provided)" + @echo "... clean" + @echo "... depend" + @echo "... edit_cache" + @echo "... rebuild_cache" + @echo "... DigitCalculator" + @echo "... DigitCalculator.o" + @echo "... DigitCalculator.i" + @echo "... DigitCalculator.s" +.PHONY : help + + + +#============================================================================= +# Special targets to cleanup operation of make. + +# Special rule to run CMake to check the build system integrity. +# No rule that depends on this can have commands that come from listfiles +# because they might be regenerated. +cmake_check_build_system: + cd /home/julian/Documents/mnistcalculator/tensorflow && $(CMAKE_COMMAND) -H$(CMAKE_SOURCE_DIR) -B$(CMAKE_BINARY_DIR) --check-build-system CMakeFiles/Makefile.cmake 0 +.PHONY : cmake_check_build_system + diff --git a/onnx/tensorflow-pretrained/src/cpp/cmake_install.cmake b/onnx/tensorflow-pretrained/src/cpp/cmake_install.cmake new file mode 100644 index 0000000000000000000000000000000000000000..49aeee45f4578590f433cd6124391f547086d33c --- /dev/null +++ b/onnx/tensorflow-pretrained/src/cpp/cmake_install.cmake @@ -0,0 +1,35 @@ +# (c) https://github.com/MontiCore/monticore +# Install script for directory: /home/julian/Documents/mnistcalculator/tensorflow/src/cpp + +# Set the install prefix +if(NOT DEFINED CMAKE_INSTALL_PREFIX) + set(CMAKE_INSTALL_PREFIX "/usr/local") +endif() +string(REGEX REPLACE "/$" "" CMAKE_INSTALL_PREFIX "${CMAKE_INSTALL_PREFIX}") + +# Set the install configuration name. +if(NOT DEFINED CMAKE_INSTALL_CONFIG_NAME) + if(BUILD_TYPE) + string(REGEX REPLACE "^[^A-Za-z0-9_]+" "" + CMAKE_INSTALL_CONFIG_NAME "${BUILD_TYPE}") + else() + set(CMAKE_INSTALL_CONFIG_NAME "") + endif() + message(STATUS "Install configuration: \"${CMAKE_INSTALL_CONFIG_NAME}\"") +endif() + +# Set the component getting installed. +if(NOT CMAKE_INSTALL_COMPONENT) + if(COMPONENT) + message(STATUS "Install component: \"${COMPONENT}\"") + set(CMAKE_INSTALL_COMPONENT "${COMPONENT}") + else() + set(CMAKE_INSTALL_COMPONENT) + endif() +endif() + +# Install shared libraries without execute permission? +if(NOT DEFINED CMAKE_INSTALL_SO_NO_EXE) + set(CMAKE_INSTALL_SO_NO_EXE "1") +endif() + diff --git a/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/Add.emadl b/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/Add.emadl new file mode 100644 index 0000000000000000000000000000000000000000..c4358d95b2ad8e8cec283667743723bbb7310fae --- /dev/null +++ b/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/Add.emadl @@ -0,0 +1,13 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component Add{ + ports + in Z(0:999) num1, + in Z(0:999) num2, + out Z(0:1998) sum; + + implementation Math{ + sum = num1 + num2; + } +} diff --git a/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/ArgMax.emadl b/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/ArgMax.emadl new file mode 100644 index 0000000000000000000000000000000000000000..6a3ed483ec28446815b13d592f7edbf98be539c1 --- /dev/null +++ b/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/ArgMax.emadl @@ -0,0 +1,20 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component ArgMax{ + ports in Q^{n} inputVector, + out Z(0:oo) maxIndex, + out Q maxValue; + + implementation Math{ + maxIndex = 0; + maxValue = inputVector(1); + + for i = 2:n + if inputVector(i) > maxValue + maxIndex = i - 1; + maxValue = inputVector(i); + end + end + } +} diff --git a/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/Calculator.emadl b/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/Calculator.emadl new file mode 100644 index 0000000000000000000000000000000000000000..a0fc668d662974ac183e3461707a0cd1bea47ee9 --- /dev/null +++ b/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/Calculator.emadl @@ -0,0 +1,45 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component Calculator { + ports + in Q(0:1)^10 in1_1, + in Q(0:1)^10 in1_2, + in Q(0:1)^10 in1_3, + in Q(0:1)^10 in2_1, + in Q(0:1)^10 in2_2, + in Q(0:1)^10 in2_3, + + out Z(0:1998) out1; + + instance ArgMax<10> number1_ones; + instance ArgMax<10> number1_tens; + instance ArgMax<10> number1_hundreds; + instance ArgMax<10> number2_ones; + instance ArgMax<10> number2_tens; + instance ArgMax<10> number2_hundreds; + instance DigitCombiner number1; + instance DigitCombiner number2; + instance Add add; + + + connect in1_1 -> number1_hundreds.inputVector; + connect in1_2 -> number1_tens.inputVector; + connect in1_3 -> number1_ones.inputVector; + connect in2_1 -> number2_hundreds.inputVector; + connect in2_2 -> number2_tens.inputVector; + connect in2_3 -> number2_ones.inputVector; + + connect number1_ones.maxIndex -> number1.ones; + connect number1_tens.maxIndex -> number1.tens; + connect number1_hundreds.maxIndex -> number1.hundreds; + connect number2_ones.maxIndex -> number2.ones; + connect number2_tens.maxIndex -> number2.tens; + connect number2_hundreds.maxIndex -> number2.hundreds; + + connect number1.number -> add.num1; + connect number2.number -> add.num2; + + connect add.sum -> out1; + +} diff --git a/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/Connector.emadl b/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/Connector.emadl new file mode 100644 index 0000000000000000000000000000000000000000..ea4390489e156b5399371c656d608ba794621c20 --- /dev/null +++ b/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/Connector.emadl @@ -0,0 +1,37 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component Connector { + ports in Z(0:255)^{1, 28, 28} image1, + in Z(0:255)^{1, 28, 28} image2, + in Z(0:255)^{1, 28, 28} image3, + in Z(0:255)^{1, 28, 28} image4, + in Z(0:255)^{1, 28, 28} image5, + in Z(0:255)^{1, 28, 28} image6, + out Z(0:1998) res; + + instance Network<10> predictor1; + instance Network<10> predictor2; + instance Network<10> predictor3; + instance Network<10> predictor4; + instance Network<10> predictor5; + instance Network<10> predictor6; + instance Calculator cal; + + connect image1 -> predictor1.data; + connect image2 -> predictor2.data; + connect image3 -> predictor3.data; + connect image4 -> predictor4.data; + connect image5 -> predictor5.data; + connect image6 -> predictor6.data; + + connect predictor1.softmax -> cal.in1_1; + connect predictor2.softmax -> cal.in1_2; + connect predictor3.softmax -> cal.in1_3; + connect predictor4.softmax -> cal.in2_1; + connect predictor5.softmax -> cal.in2_2; + connect predictor6.softmax -> cal.in2_3; + + connect cal.out1 -> res; + +} diff --git a/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/DigitCombiner.emadl b/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/DigitCombiner.emadl new file mode 100644 index 0000000000000000000000000000000000000000..1f60a59746bcc68adda8d09bd2e8d823a52b7471 --- /dev/null +++ b/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/DigitCombiner.emadl @@ -0,0 +1,14 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component DigitCombiner{ + ports + in Z(0:9) hundreds, + in Z(0:9) tens, + in Z(0:9) ones, + out Z(0:999) number; + + implementation Math{ + number = ones + 10 * tens + 100 * hundreds; + } +} diff --git a/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/Network.conf b/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/Network.conf new file mode 100644 index 0000000000000000000000000000000000000000..32465ee96b1d419924ef1ce2d4faae65a3a22743 --- /dev/null +++ b/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/Network.conf @@ -0,0 +1,16 @@ +/* (c) https://github.com/MontiCore/monticore */ +configuration Network{ + num_epoch:1 + batch_size:10 + normalize:true + context:gpu + load_checkpoint:false + eval_metric:accuracy + onnx_export:true + optimizer:sgd{ + learning_rate:0.1 + learning_rate_decay:0.85 + step_size:1000 + weight_decay:0.0 + } +} diff --git a/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/Network.emadl b/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/Network.emadl new file mode 100644 index 0000000000000000000000000000000000000000..5917478ed50f251f3dd37d1f524dc753a5438da8 --- /dev/null +++ b/onnx/tensorflow-pretrained/src/emadl/models/cNNCalculator/Network.emadl @@ -0,0 +1,25 @@ +/* (c) https://github.com/MontiCore/monticore */ +package cNNCalculator; + +component Network{ + ports in Z(0:255)^{1, 28, 28} data, + out Q(0:1)^{classes} softmax; + + implementation CNN { + def conv(channels, kernel=1, stride=1){ + Convolution(kernel=(kernel,kernel),channels=channels) -> + Relu() -> + Pooling(pool_type="max", kernel=(2,2), stride=(stride,stride)) + } + + data -> + conv(kernel=5, channels=20, stride=2) -> + conv(kernel=5, channels=50, stride=2) -> + FullyConnected(units=500) -> + Relu() -> + Dropout() -> + FullyConnected(units=classes) -> + Softmax() -> + softmax; + } +} diff --git a/onnx/tensorflow-pretrained/src/emadl/models/data_paths.txt b/onnx/tensorflow-pretrained/src/emadl/models/data_paths.txt new file mode 100644 index 0000000000000000000000000000000000000000..70dd55394772066b2f969555549079a3f6265198 --- /dev/null +++ b/onnx/tensorflow-pretrained/src/emadl/models/data_paths.txt @@ -0,0 +1 @@ +cNNCalculator.Network resources/training_data diff --git a/tensorflow/README.md b/tensorflow/README.md index 47246a63c08dea9d0827aeb13264562504039fb1..98bdc710704ad8b89c6dd7249dc369a2181cb2db 100644 --- a/tensorflow/README.md +++ b/tensorflow/README.md @@ -1,5 +1,5 @@ -# Calculator MXNET +# Calculator TENSORFLOW ## Prerequisites