BR-sy

.circleci/config.yml

+# (c) https://github.com/MontiCore/monticore  
 
 # Java Maven CircleCI 2.0 configuration file
 #

.gitlab-ci.yml

+# (c) https://github.com/MontiCore/monticore  
 
 stages:
 - windows

.travis.yml

+# (c) https://github.com/MontiCore/monticore  
 script:
 - git checkout ${TRAVIS_BRANCH}
 - mvn clean install cobertura:cobertura org.eluder.coveralls:coveralls-maven-plugin:report --settings "settings.xml"

README.md

+<!-- (c) https://github.com/MontiCore/monticore -->
 ![pipeline](https://git.rwth-aachen.de/monticore/EmbeddedMontiArc/generators/CNNArch2Caffe2/badges/master/build.svg)
 ![coverage](https://git.rwth-aachen.de/monticore/EmbeddedMontiArc/generators/CNNArch2Caffe2/badges/master/coverage.svg)
 

pom.xml

+<!-- (c) https://github.com/MontiCore/monticore -->
 <project xmlns="http://maven.apache.org/POM/4.0.0"
          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
          xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">

settings.xml

 <?xml version="1.0" encoding="UTF-8"?>
+<!-- (c) https://github.com/MontiCore/monticore -->
 
 
 <settings xmlns="http://maven.apache.org/SETTINGS/1.0.0"

src/main/java/de/monticore/lang/monticar/cnnarch/caffe2generator/ArchitectureElementData.java

-/**
- *
- *  ******************************************************************************
- *  MontiCAR Modeling Family, www.se-rwth.de
- *  Copyright (c) 2017, Software Engineering Group at RWTH Aachen,
- *  All rights reserved.
- *
- *  This project is free software; you can redistribute it and/or
- *  modify it under the terms of the GNU Lesser General Public
- *  License as published by the Free Software Foundation; either
- *  version 3.0 of the License, or (at your option) any later version.
- *  This library is distributed in the hope that it will be useful,
- *  but WITHOUT ANY WARRANTY; without even the implied warranty of
- *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
- *  Lesser General Public License for more details.
- *
- *  You should have received a copy of the GNU Lesser General Public
- *  License along with this project. If not, see <http://www.gnu.org/licenses/>.
- * *******************************************************************************
- */
+/* (c) https://github.com/MontiCore/monticore */
 package de.monticore.lang.monticar.cnnarch.caffe2generator;
 
 import de.monticore.lang.monticar.cnnarch._symboltable.ArchitectureElementSymbol;

src/main/java/de/monticore/lang/monticar/cnnarch/caffe2generator/CNNArch2Caffe2.java

-/**
- *
- *  ******************************************************************************
- *  MontiCAR Modeling Family, www.se-rwth.de
- *  Copyright (c) 2017, Software Engineering Group at RWTH Aachen,
- *  All rights reserved.
- *
- *  This project is free software; you can redistribute it and/or
- *  modify it under the terms of the GNU Lesser General Public
- *  License as published by the Free Software Foundation; either
- *  version 3.0 of the License, or (at your option) any later version.
- *  This library is distributed in the hope that it will be useful,
- *  but WITHOUT ANY WARRANTY; without even the implied warranty of
- *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
- *  Lesser General Public License for more details.
- *
- *  You should have received a copy of the GNU Lesser General Public
- *  License along with this project. If not, see <http://www.gnu.org/licenses/>.
- * *******************************************************************************
- */
+/* (c) https://github.com/MontiCore/monticore */
 package de.monticore.lang.monticar.cnnarch.caffe2generator;
 
 import de.monticore.lang.monticar.cnnarch.generator.CNNArchGenerator;

src/main/java/de/monticore/lang/monticar/cnnarch/caffe2generator/CNNArch2Caffe2ArchitectureSupportChecker.java

+/* (c) https://github.com/MontiCore/monticore */
 package de.monticore.lang.monticar.cnnarch.caffe2generator;
 
 import de.monticore.lang.monticar.cnnarch.generator.ArchitectureSupportChecker;

src/main/java/de/monticore/lang/monticar/cnnarch/caffe2generator/CNNArch2Caffe2Cli.java

-/**
- *
- *  ******************************************************************************
- *  MontiCAR Modeling Family, www.se-rwth.de
- *  Copyright (c) 2017, Software Engineering Group at RWTH Aachen,
- *  All rights reserved.
- *
- *  This project is free software; you can redistribute it and/or
- *  modify it under the terms of the GNU Lesser General Public
- *  License as published by the Free Software Foundation; either
- *  version 3.0 of the License, or (at your option) any later version.
- *  This library is distributed in the hope that it will be useful,
- *  but WITHOUT ANY WARRANTY; without even the implied warranty of
- *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
- *  Lesser General Public License for more details.
- *
- *  You should have received a copy of the GNU Lesser General Public
- *  License along with this project. If not, see <http://www.gnu.org/licenses/>.
- * *******************************************************************************
- */
+/* (c) https://github.com/MontiCore/monticore */
 package de.monticore.lang.monticar.cnnarch.caffe2generator;
 
 import de.monticore.lang.monticar.cnnarch.generator.CNNArchGenerator;

src/main/java/de/monticore/lang/monticar/cnnarch/caffe2generator/CNNArch2Caffe2LayerSupportChecker.java

+/* (c) https://github.com/MontiCore/monticore */
 package de.monticore.lang.monticar.cnnarch.caffe2generator;
 
 import de.monticore.lang.monticar.cnnarch.predefined.AllPredefinedLayers;

src/main/java/de/monticore/lang/monticar/cnnarch/caffe2generator/CNNArch2Caffe2TrainParamSupportChecker.java

-/**
- *
- *  ******************************************************************************
- *  MontiCAR Modeling Family, www.se-rwth.de
- *  Copyright (c) 2017, Software Engineering Group at RWTH Aachen,
- *  All rights reserved.
- *
- *  This project is free software; you can redistribute it and/or
- *  modify it under the terms of the GNU Lesser General Public
- *  License as published by the Free Software Foundation; either
- *  version 3.0 of the License, or (at your option) any later version.
- *  This library is distributed in the hope that it will be useful,
- *  but WITHOUT ANY WARRANTY; without even the implied warranty of
- *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
- *  Lesser General Public License for more details.
- *
- *  You should have received a copy of the GNU Lesser General Public
- *  License along with this project. If not, see <http://www.gnu.org/licenses/>.
- * *******************************************************************************
- */
+/* (c) https://github.com/MontiCore/monticore */
 package de.monticore.lang.monticar.cnnarch.caffe2generator;
 
 import de.monticore.lang.monticar.cnnarch.generator.TrainParamSupportChecker;
@@ -75,4 +56,4 @@ public class CNNArch2Caffe2TrainParamSupportChecker extends TrainParamSupportChe
         this.unsupportedElemList.add(node.getName());
     }
 
-}
\ No newline at end of file
+}

src/main/java/de/monticore/lang/monticar/cnnarch/caffe2generator/CNNArchTemplateController.java

-/**
- *
- *  ******************************************************************************
- *  MontiCAR Modeling Family, www.se-rwth.de
- *  Copyright (c) 2017, Software Engineering Group at RWTH Aachen,
- *  All rights reserved.
- *
- *  This project is free software; you can redistribute it and/or
- *  modify it under the terms of the GNU Lesser General Public
- *  License as published by the Free Software Foundation; either
- *  version 3.0 of the License, or (at your option) any later version.
- *  This library is distributed in the hope that it will be useful,
- *  but WITHOUT ANY WARRANTY; without even the implied warranty of
- *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
- *  Lesser General Public License for more details.
- *
- *  You should have received a copy of the GNU Lesser General Public
- *  License along with this project. If not, see <http://www.gnu.org/licenses/>.
- * *******************************************************************************
- */
+/* (c) https://github.com/MontiCore/monticore */
 package de.monticore.lang.monticar.cnnarch.caffe2generator;
 
 import de.monticore.lang.monticar.cnnarch.generator.LayerNameCreator;

src/main/java/de/monticore/lang/monticar/cnnarch/caffe2generator/CNNTrain2Caffe2.java

+/* (c) https://github.com/MontiCore/monticore */
 package de.monticore.lang.monticar.cnnarch.caffe2generator;
 
 import de.monticore.io.paths.ModelPath;

src/main/java/de/monticore/lang/monticar/cnnarch/caffe2generator/ConfigurationData.java

+/* (c) https://github.com/MontiCore/monticore */
 package de.monticore.lang.monticar.cnnarch.caffe2generator;
 
 import de.monticore.lang.monticar.cnntrain._symboltable.*;

src/main/java/de/monticore/lang/monticar/cnnarch/caffe2generator/TemplateConfiguration.java

-/**
- *
- *  ******************************************************************************
- *  MontiCAR Modeling Family, www.se-rwth.de
- *  Copyright (c) 2017, Software Engineering Group at RWTH Aachen,
- *  All rights reserved.
- *
- *  This project is free software; you can redistribute it and/or
- *  modify it under the terms of the GNU Lesser General Public
- *  License as published by the Free Software Foundation; either
- *  version 3.0 of the License, or (at your option) any later version.
- *  This library is distributed in the hope that it will be useful,
- *  but WITHOUT ANY WARRANTY; without even the implied warranty of
- *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
- *  Lesser General Public License for more details.
- *
- *  You should have received a copy of the GNU Lesser General Public
- *  License along with this project. If not, see <http://www.gnu.org/licenses/>.
- * *******************************************************************************
- */
+/* (c) https://github.com/MontiCore/monticore */
 package de.monticore.lang.monticar.cnnarch.caffe2generator;
 
 import de.se_rwth.commons.logging.Log;

src/main/resources/templates/caffe2/CNNCreator.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 from caffe2.python import workspace, core, model_helper, brew, optimizer
 from caffe2.python.predictor import mobile_exporter
 from caffe2.proto import caffe2_pb2

src/main/resources/templates/caffe2/CNNPredictor.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 #ifndef ${tc.fileNameWithoutEnding?upper_case}
 #define ${tc.fileNameWithoutEnding?upper_case}
 

src/main/resources/templates/caffe2/CNNTrainer.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 from caffe2.python import workspace, core, model_helper, brew, optimizer
 from caffe2.python.predictor import mobile_exporter
 from caffe2.proto import caffe2_pb2

src/main/resources/templates/caffe2/elements/Add.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#-- This layer is currently not supported -->

src/main/resources/templates/caffe2/elements/BatchNorm.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#-- This layer is currently not supported -->

src/main/resources/templates/caffe2/elements/Concatenate.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#-- This layer is currently not supported -->

src/main/resources/templates/caffe2/elements/Convolution.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#assign input = element.inputs[0]>
 <#assign strideHeight = element.stride[0]>
 <#assign strideWidth = element.stride[1]>
@@ -23,4 +24,4 @@
 	<#assign kernelParameter = "kernel=[${kernelHeight},${kernelWidth}]">
 </#if>
     		${element.name} = brew.conv(model, ${input}, '${element.name}', dim_in=${element.element.inputTypes[0].channels?c}, dim_out=${element.channels?c}, ${kernelParameter}, ${strideParameter}${padParameter})
-<#include "OutputShape.ftl">
\ No newline at end of file
+<#include "OutputShape.ftl">

src/main/resources/templates/caffe2/elements/Dropout.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#assign input = element.inputs[0]>
 <#assign ratio = element.p?c?string>
     		${element.name} = brew.dropout(model, ${input}, '${element.name}', ratio=${ratio}, is_test=False)

src/main/resources/templates/caffe2/elements/Flatten.ftl

-            ${element.name} = model.net.Flatten(${element.inputs[0]}, "${element.name}")
\ No newline at end of file
+<#-- (c) https://github.com/MontiCore/monticore -->
+            ${element.name} = model.net.Flatten(${element.inputs[0]}, "${element.name}")

src/main/resources/templates/caffe2/elements/FullyConnected.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#assign flatten = element.element.inputTypes[0].height != 1 || element.element.inputTypes[0].width != 1>
 <#assign input = element.inputs[0]>
 <#assign inputLayerType = element.element.getInputElement().get()?string>
@@ -10,4 +11,4 @@
 <#else>
     		${element.name} = brew.fc(model, ${input}, '${element.name}', dim_in=${inputChannels} * ${inputHeight} * ${inputWidth}, dim_out=${element.units?c})
 </#if>
-<#include "OutputShape.ftl">
\ No newline at end of file
+<#include "OutputShape.ftl">

src/main/resources/templates/caffe2/elements/Get.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#-- This layer is currently not supported -->

src/main/resources/templates/caffe2/elements/GlobalPooling.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#assign input = element.inputs[0]>
 <#if element.poolType == "max">
     		${element.name} = brew.max_pool(model, ${input}, '${element.name}', global_pooling=True)
 <#elseif element.poolType == "avg">
     		${element.name} = brew.average_pool(model, ${input}, '${element.name}', global_pooling=True)
 </#if>
-<#include "OutputShape.ftl">
\ No newline at end of file
+<#include "OutputShape.ftl">

src/main/resources/templates/caffe2/elements/Input.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#assign channelIndex = element.element.outputTypes[0].channelIndex + 1>
 <#assign heightIndex = element.element.outputTypes[0].heightIndex + 1>
 <#assign widthIndex = element.element.outputTypes[0].widthIndex + 1>

src/main/resources/templates/caffe2/elements/Lrn.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#assign input = element.inputs[0]>
 <#if !element.knorm?string?contains(".")>
 	<#assign bias = element.knorm?string["0.0"]>

src/main/resources/templates/caffe2/elements/Output.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#assign input = element.inputs[0]>
 <#if element.softmaxOutput>
     		${element.name} = brew.softmax(model, ${input}, '${element.name}')
@@ -7,4 +8,4 @@
     		${element.name} = ${input}
 </#if>
 
-    		return ${element.name}
\ No newline at end of file
+    		return ${element.name}

src/main/resources/templates/caffe2/elements/OutputShape.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
     		# ${element.name}, output shape: {<#list element.element.outputTypes as type>[${tc.join(type.dimensions, ",")}]</#list>}

src/main/resources/templates/caffe2/elements/Pooling.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#assign input = element.inputs[0]>
 <#assign strideHeight = element.stride[0]>
 <#assign strideWidth = element.stride[1]>
@@ -27,4 +28,4 @@
 <#elseif element.poolType == "avg">
     		${element.name} = brew.average_pool(model, ${input}, '${element.name}', ${kernelParameter}, ${strideParameter}${padParameter})
 </#if>
-<#include "OutputShape.ftl">
\ No newline at end of file
+<#include "OutputShape.ftl">

src/main/resources/templates/caffe2/elements/Relu.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#assign input = element.inputs[0]>
     		${element.name} = brew.relu(model, ${input}, ${input})

src/main/resources/templates/caffe2/elements/Sigmoid.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#assign input = element.inputs[0]>
     		${element.name} = model.net.Sigmoid(${input}, '${element.name}')

src/main/resources/templates/caffe2/elements/Softmax.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#-- This template is not used if the followiing architecture element is an output. See Output.ftl -->
 <#assign input = element.inputs[0]>
     		${element.name} = brew.softmax(model, ${input}, '${element.name}')

src/main/resources/templates/caffe2/elements/Split.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#-- This layer is currently not supported -->

src/main/resources/templates/caffe2/elements/Tanh.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#assign input = element.inputs[0]>
     		${element.name} = brew.tanh(model, ${input}, ${input})

src/main/resources/templates/caffe2/execute.ftl

+<#-- (c) https://github.com/MontiCore/monticore -->
 <#list tc.architecture.outputs as output>
     <#assign shape = output.ioDeclaration.type.dimensions>
     vector<float> CNN_${tc.getName(output)}(<#list shape as dim>${dim?c}<#if  dim?has_next>*</#if></#list>);

src/test/java/de/monticore/lang/monticar/cnnarch/caffe2generator/AbstractSymtabTest.java

-/**
- *
- *  ******************************************************************************
- *  MontiCAR Modeling Family, www.se-rwth.de
- *  Copyright (c) 2017, Software Engineering Group at RWTH Aachen,
- *  All rights reserved.
- *
- *  This project is free software; you can redistribute it and/or
- *  modify it under the terms of the GNU Lesser General Public
- *  License as published by the Free Software Foundation; either
- *  version 3.0 of the License, or (at your option) any later version.
- *  This library is distributed in the hope that it will be useful,
- *  but WITHOUT ANY WARRANTY; without even the implied warranty of
- *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
- *  Lesser General Public License for more details.
- *
- *  You should have received a copy of the GNU Lesser General Public
- *  License along with this project. If not, see <http://www.gnu.org/licenses/>.
- * *******************************************************************************
- */
+/* (c) https://github.com/MontiCore/monticore */
 package de.monticore.lang.monticar.cnnarch.caffe2generator;
 
 import de.monticore.ModelingLanguageFamily;

src/test/java/de/monticore/lang/monticar/cnnarch/caffe2generator/GenerationTest.java

-/**
- *
- *  ******************************************************************************
- *  MontiCAR Modeling Family, www.se-rwth.de
- *  Copyright (c) 2017, Software Engineering Group at RWTH Aachen,
- *  All rights reserved.
- *
- *  This project is free software; you can redistribute it and/or
- *  modify it under the terms of the GNU Lesser General Public
- *  License as published by the Free Software Foundation; either
- *  version 3.0 of the License, or (at your option) any later version.
- *  This library is distributed in the hope that it will be useful,
- *  but WITHOUT ANY WARRANTY; without even the implied warranty of
- *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
- *  Lesser General Public License for more details.
- *
- *  You should have received a copy of the GNU Lesser General Public
- *  License along with this project. If not, see <http://www.gnu.org/licenses/>.
- * *******************************************************************************
- */
+/* (c) https://github.com/MontiCore/monticore */
 package de.monticore.lang.monticar.cnnarch.caffe2generator;
 
 import de.se_rwth.commons.logging.Log;

src/test/java/de/monticore/lang/monticar/cnnarch/caffe2generator/SymtabTest.java

-/**
- *
- *  ******************************************************************************
- *  MontiCAR Modeling Family, www.se-rwth.de
- *  Copyright (c) 2017, Software Engineering Group at RWTH Aachen,
- *  All rights reserved.
- *
- *  This project is free software; you can redistribute it and/or
- *  modify it under the terms of the GNU Lesser General Public
- *  License as published by the Free Software Foundation; either
- *  version 3.0 of the License, or (at your option) any later version.
- *  This library is distributed in the hope that it will be useful,
- *  but WITHOUT ANY WARRANTY; without even the implied warranty of
- *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
- *  Lesser General Public License for more details.
- *
- *  You should have received a copy of the GNU Lesser General Public
- *  License along with this project. If not, see <http://www.gnu.org/licenses/>.
- * *******************************************************************************
- */
+/* (c) https://github.com/MontiCore/monticore */
 package de.monticore.lang.monticar.cnnarch.caffe2generator;
 
 import de.monticore.lang.monticar.cnnarch._parser.CNNArchParser;

src/test/resources/architectures/Alexnet.cnna

+/* (c) https://github.com/MontiCore/monticore */
 architecture Alexnet(img_height=224, img_width=224, img_channels=3, classes=10){
     def input Z(0:255)^{img_channels, img_height, img_width} data
     def output Q(0:1)^{classes} predictions
@@ -40,4 +41,4 @@ architecture Alexnet(img_height=224, img_width=224, img_channels=3, classes=10){
     FullyConnected(units=10) ->
     Softmax() ->
     predictions;
-}
\ No newline at end of file
+}

src/test/resources/architectures/LeNet.cnna

+/* (c) https://github.com/MontiCore/monticore */
 architecture LeNet(img_height=28, img_width=28, img_channels=1, classes=10){
     def input Z(0:255)^{img_channels, img_height, img_width} image
     def output Q(0:1)^{classes} predictions
@@ -12,4 +13,4 @@ architecture LeNet(img_height=28, img_width=28, img_channels=1, classes=10){
     FullyConnected(units=classes) ->
     Softmax() ->
     predictions;
-}
\ No newline at end of file
+}

src/test/resources/architectures/ResNeXt50.cnna

+/* (c) https://github.com/MontiCore/monticore */
 architecture ResNeXt50(img_height=224, img_width=224, img_channels=3, classes=1000){
     def input Z(0:255)^{img_channels, img_height, img_width} data
     def output Q(0:1)^{classes} predictions
@@ -41,4 +42,4 @@ architecture ResNeXt50(img_height=224, img_width=224, img_channels=3, classes=10
     FullyConnected(units=classes) ->
     Softmax() ->
     predictions;
-}
\ No newline at end of file
+}

src/test/resources/architectures/ResNet152.cnna

+/* (c) https://github.com/MontiCore/monticore */
 architecture ResNet152(img_height=224, img_width=224, img_channels=3, classes=1000){
     def input Z(0:255)^{img_channels, img_height, img_width} data
     def output Q(0:1)^{classes} predictions
@@ -34,4 +35,4 @@ architecture ResNet152(img_height=224, img_width=224, img_channels=3, classes=10
     FullyConnected(units=classes) ->
     Softmax() ->
     predictions;
-}
\ No newline at end of file
+}

src/test/resources/architectures/ResNet34.cnna

+/* (c) https://github.com/MontiCore/monticore */
 architecture ResNet34(img_height=224, img_width=224, img_channels=3, classes=1000){
     def input Z(0:255)^{img_channels, img_height, img_width} data
     def output Q(0:1)^{classes} predictions

src/test/resources/architectures/SequentialAlexnet.cnna

+/* (c) https://github.com/MontiCore/monticore */
 architecture SequentialAlexnet(img_height=224, img_width=224, img_channels=3, classes=10){
     def input Z(0:255)^{img_channels, img_height, img_width} data
     def output Q(0:1)^{classes} predictions

src/test/resources/architectures/ThreeInputCNN_M14.cnna

+/* (c) https://github.com/MontiCore/monticore */
 architecture ThreeInputCNN_M14(img_height=200, img_width=300, img_channels=3, classes=3){
     /*CNN used for flower grading. Model 14 of the paper.
      *Title: Multi-Input Convolutional Neural Network for Flower Grading
@@ -29,4 +30,4 @@ architecture ThreeInputCNN_M14(img_height=200, img_width=300, img_channels=3, cl
     FullyConnected(units=classes) ->
     Softmax() ->
     predictions;
-}
\ No newline at end of file
+}

src/test/resources/architectures/VGG16.cnna

+/* (c) https://github.com/MontiCore/monticore */
 architecture VGG16(img_height=224, img_width=224, img_channels=3, classes=1000){
     def input Z(0:255)^{img_channels, img_height, img_width} data
     def output Q(0:1)^{classes} predictions
@@ -28,4 +29,4 @@ architecture VGG16(img_height=224, img_width=224, img_channels=3, classes=1000){
     FullyConnected(units=classes) ->
     Softmax() ->
     predictions;
-}
\ No newline at end of file
+}

src/test/resources/architectures/data_paths.txt

@@ -4,4 +4,4 @@ LeNet data/LeNet
 VGG16 data/VGG16
 MultipleOutputs data/MultipleOutputs
 ResNeXt50 data/ResNeXt50
-ThreeInputCNN_M14 data/ThreeInputCNN_M14
\ No newline at end of file
+ThreeInputCNN_M14 data/ThreeInputCNN_M14

src/test/resources/target_code/CNNCreator_Alexnet.py

+# (c) https://github.com/MontiCore/monticore  
 from caffe2.python import workspace, core, model_helper, brew, optimizer
 from caffe2.python.predictor import mobile_exporter
 from caffe2.proto import caffe2_pb2
@@ -263,4 +264,4 @@ class CNNCreator_Alexnet:
     		net_def.ParseFromString(f.read())
     		net_def.device_option.CopyFrom(device_opts)
     		workspace.CreateNet(net_def.SerializeToString(), overwrite=True)
-    	print("== Loaded init_net and predict_net ==")
\ No newline at end of file
+    	print("== Loaded init_net and predict_net ==")

src/test/resources/target_code/CNNCreator_CifarClassifierNetwork.py

+# (c) https://github.com/MontiCore/monticore  
 from caffe2.python import workspace, core, model_helper, brew, optimizer
 from caffe2.python.predictor import mobile_exporter
 from caffe2.proto import caffe2_pb2
@@ -291,4 +292,4 @@ class CNNCreator_CifarClassifierNetwork:
     		net_def.ParseFromString(f.read())
     		net_def.device_option.CopyFrom(device_opts)
     		workspace.CreateNet(net_def.SerializeToString(), overwrite=True)
-    	print("== Loaded init_net and predict_net ==")
\ No newline at end of file
+    	print("== Loaded init_net and predict_net ==")

src/test/resources/target_code/CNNCreator_LeNet.py

+# (c) https://github.com/MontiCore/monticore  
 from caffe2.python import workspace, core, model_helper, brew, optimizer
 from caffe2.python.predictor import mobile_exporter
 from caffe2.proto import caffe2_pb2

src/test/resources/target_code/CNNCreator_VGG16.py

+# (c) https://github.com/MontiCore/monticore  
 from caffe2.python import workspace, core, model_helper, brew, optimizer
 from caffe2.python.predictor import mobile_exporter
 from caffe2.proto import caffe2_pb2

src/test/resources/target_code/CNNPredictor_Alexnet.h

+/* (c) https://github.com/MontiCore/monticore */
 #ifndef CNNPREDICTOR_ALEXNET
 #define CNNPREDICTOR_ALEXNET
 
@@ -114,4 +115,4 @@ class CNNPredictor_Alexnet_0{
         }
 };
 
-#endif // CNNPREDICTOR_ALEXNET
\ No newline at end of file
+#endif // CNNPREDICTOR_ALEXNET

src/test/resources/target_code/CNNPredictor_CifarClassifierNetwork.h

+/* (c) https://github.com/MontiCore/monticore */
 #ifndef CNNPREDICTOR_CIFARCLASSIFIERNETWORK
 #define CNNPREDICTOR_CIFARCLASSIFIERNETWORK
 
@@ -114,4 +115,4 @@ class CNNPredictor_CifarClassifierNetwork_0{
         }
 };
 
-#endif // CNNPREDICTOR_CIFARCLASSIFIERNETWORK
\ No newline at end of file
+#endif // CNNPREDICTOR_CIFARCLASSIFIERNETWORK

src/test/resources/target_code/CNNPredictor_LeNet.h

+/* (c) https://github.com/MontiCore/monticore */
 #ifndef CNNPREDICTOR_LENET
 #define CNNPREDICTOR_LENET
 

src/test/resources/target_code/CNNPredictor_VGG16.h

+/* (c) https://github.com/MontiCore/monticore */
 #ifndef CNNPREDICTOR_VGG16
 #define CNNPREDICTOR_VGG16
 

src/test/resources/target_code/CNNTrainer_emptyConfig.py

+# (c) https://github.com/MontiCore/monticore  
 from caffe2.python import workspace, core, model_helper, brew, optimizer
 from caffe2.python.predictor import mobile_exporter
 from caffe2.proto import caffe2_pb2

src/test/resources/target_code/CNNTrainer_fullConfig.py

+# (c) https://github.com/MontiCore/monticore  
 from caffe2.python import workspace, core, model_helper, brew, optimizer
 from caffe2.python.predictor import mobile_exporter
 from caffe2.proto import caffe2_pb2

src/test/resources/target_code/CNNTrainer_simpleConfig.py

+# (c) https://github.com/MontiCore/monticore  
 from caffe2.python import workspace, core, model_helper, brew, optimizer
 from caffe2.python.predictor import mobile_exporter
 from caffe2.proto import caffe2_pb2

src/test/resources/target_code/CNNTrainer_unsupportedConfig.py

+# (c) https://github.com/MontiCore/monticore  
 from caffe2.python import workspace, core, model_helper, brew, optimizer
 from caffe2.python.predictor import mobile_exporter
 from caffe2.proto import caffe2_pb2

src/test/resources/target_code/cmake/FindArmadillo.cmake

+# (c) https://github.com/MontiCore/monticore  
 # Automatically generated file
 #
 # - Try to find Armadillo
@@ -35,4 +36,4 @@ mark_as_advanced(
   )
 
 set(Armadillo_INCLUDE_DIRS ${Armadillo_INCLUDE_DIR})
-set(Armadillo_LIBRARIES ${Armadillo_LIBRARY})
\ No newline at end of file
+set(Armadillo_LIBRARIES ${Armadillo_LIBRARY})

src/test/resources/target_code/execute_Alexnet

@@ -3,4 +3,4 @@
     _predictor_0_.predict(CNNTranslator::translate(data),
                 CNN_predictions);
 
-    predictions = CNNTranslator::translateToCol(CNN_predictions, std::vector<size_t> {10});
\ No newline at end of file
+    predictions = CNNTranslator::translateToCol(CNN_predictions, std::vector<size_t> {10});

src/test/resources/target_code/execute_CifarClassifierNetwork

@@ -3,4 +3,4 @@
     _predictor_0_.predict(CNNTranslator::translate(data),
                 CNN_softmax);
 
-    softmax = CNNTranslator::translateToCol(CNN_softmax, std::vector<size_t> {10});
\ No newline at end of file
+    softmax = CNNTranslator::translateToCol(CNN_softmax, std::vector<size_t> {10});

src/test/resources/valid_tests/Alexnet_alt.cnna

+/* (c) https://github.com/MontiCore/monticore */
 architecture Alexnet_alt(img_height=224, img_width=224, img_channels=3, classes=10){
     def input Z(0:255)^{img_channels, img_height, img_width} image
     def output Q(0:1)^{classes} predictions
@@ -50,4 +51,4 @@ architecture Alexnet_alt(img_height=224, img_width=224, img_channels=3, classes=