Commit fac38f2d authored by Julian Johannes Steinsberger-Dührßen's avatar Julian Johannes Steinsberger-Dührßen Committed by Evgeny Kusmenko

Tensorflow version added

parent 0ecebbff
......@@ -8,6 +8,7 @@ TestMXNET:
image: registry.git.rwth-aachen.de/monticore/embeddedmontiarc/applications/mnistcalculator/mxnet:v0.0.3
script:
- cd mxnet
- 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:\" $RES; exit 1; fi;"
......@@ -18,6 +19,7 @@ TestCAFFE2:
image: registry.git.rwth-aachen.de/monticore/embeddedmontiarc/applications/mnistcalculator/caffe2:v0.0.2
script:
- cd caffe2
- chmod +x build.sh
- ./build.sh
- RES=$(./build/src/cpp/DigitCalculator resources/images/2.jpg resources/images/3.jpg resources/images/4.png resources/images/6.png resources/images/2.jpg resources/images/3.jpg)
- "if [[ $RES != *\"SUM: 857\"* ]]; then echo \"Wrong result:\" $RES; exit 1; fi;"
......@@ -27,6 +29,18 @@ TestGLUON:
image: registry.git.rwth-aachen.de/monticore/embeddedmontiarc/applications/mnistcalculator/mxnet:v0.0.3
script:
- cd gluon
- chmod +x build.sh
- ./build.sh
- RES=$(./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:\" $RES; exit 1; fi;"
TestTENSORFLOW:
stage: linux
image: registry.git.rwth-aachen.de/monticore/embeddedmontiarc/applications/mnistcalculator/tensorflow
script:
- cd tensorflow
- chmod +x build.sh
- ./build.sh
- RES=$(./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;"
......@@ -5,9 +5,11 @@
## Prerequisites
1. Ubuntu Linux 16.04 LTS or 18.04 LTS (experimental)
2. Deep Learning Framework **Caffe2**. [Follow the instructions from this link](https://git.rwth-aachen.de/monticore/EmbeddedMontiArc/generators/CNNArch2Caffe2#ubuntu).
3. Deep Learning Framework **MXNet**.
3. Deep Learning Framework **MXNet/Gluon**.
4. Deep Learning Framework **Tensorflow**.
4. Armadillo (at least armadillo version 6.600 must be used) [Official instructions at Armadillo Website](http://arma.sourceforge.net/download.html).
4. OpenCV
## MXNet and Caffe2
For detailed instructions on how to run the MXNet and Caffe2 example, see the README in the corresponding folder.
## MXNet/Gluon, Tensorflow and Caffe2
For detailed instructions on how to run the MXNet/Gluon, Tensorflow and Caffe2 examples, see the README in the corresponding folders.
\ No newline at end of file
rm -rf target
# (c) https://github.com/MontiCore/monticore
java -jar ../embedded-montiarc-emadl-generator-0.3.0-jar-with-dependencies.jar -m src/emadl/models/ -r cNNCalculator.Connector -o target -b CAFFE2
rm -rf target
java -jar ../embedded-montiarc-emadl-generator-0.3.6-SNAPSHOT-jar-with-dependencies.jar -m src/emadl/models/ -r cNNCalculator.Connector -o target -b CAFFE2
rm -rf build
mkdir build && cd build
......
......@@ -15,7 +15,7 @@ component Network<Z(2:oo) classes = 10>{
Relu() ->
FullyConnected(units=classes) ->
Softmax() ->
predictions
predictions;
}
}
......@@ -11,7 +11,7 @@ if [ ! -f $MXNET_FOLDER/libmxnet.so ]; then
fi
rm -rf target
java -jar ../embedded-montiarc-emadl-generator-0.3.0-jar-with-dependencies.jar -m src/emadl/models/ -r cNNCalculator.Connector -o target -b GLUON
java -jar ../embedded-montiarc-emadl-generator-0.3.6-SNAPSHOT-jar-with-dependencies.jar -m src/emadl/models/ -r cNNCalculator.Connector -o target -b GLUON
rm -rf build
mkdir build && cd build
......
......@@ -20,6 +20,6 @@ component Network<Z(2:oo) classes = 10>{
Dropout() ->
FullyConnected(units=classes) ->
Softmax() ->
softmax
softmax;
}
}
......@@ -11,7 +11,7 @@ if [ ! -f $MXNET_FOLDER/libmxnet.so ]; then
fi
rm -rf target
java -jar ../embedded-montiarc-emadl-generator-0.3.0-jar-with-dependencies.jar -m src/emadl/models/ -r cNNCalculator.Connector -o target -b MXNET
java -jar ../embedded-montiarc-emadl-generator-0.3.6-SNAPSHOT-jar-with-dependencies.jar -m src/emadl/models/ -r cNNCalculator.Connector -o target -b MXNET
rm -rf build
mkdir build && cd build
......
......@@ -3,7 +3,7 @@ configuration Network{
num_epoch:1
batch_size:10
normalize:false
context:cpu
context:gpu
load_checkpoint:false
optimizer:sgd{
learning_rate:0.1
......
......@@ -20,6 +20,6 @@ component Network<Z(2:oo) classes = 10>{
Dropout() ->
FullyConnected(units=classes) ->
Softmax() ->
softmax
softmax;
}
}
train.log
target/
model/
build/
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