changes to dockerfile and added jenkinsfile_3
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c66bcd324e
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15
Dockerfile
15
Dockerfile
@ -14,16 +14,19 @@ RUN python3 -m pip install numpy
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RUN python3 -m pip install torch
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RUN python3 -m pip install torch
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RUN python3 -m pip install torchvision
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RUN python3 -m pip install torchvision
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COPY ./zadanie1.py ./
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#COPY ./zadanie1.py ./
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COPY ./Customers.csv ./
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COPY ./Customers.csv ./
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COPY ./train.py ./
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COPY ./train.py ./
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COPY ./test.py ./
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#COPY ./test.py ./
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COPY ./cifar_net.pth ./
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#COPY ./cifar_net.pth ./
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RUN chmod +r ./Customers.csv
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RUN chmod +r ./Customers.csv
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RUN chmod +x ./zadanie1.py
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#RUN chmod +x ./zadanie1.py
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RUN chmod +x ./train.py
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RUN chmod +x ./train.py
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RUN chmod +x ./test.py
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#RUN chmod +x ./test.py
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ARG epochs = 5
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RUN echo $epochs
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CMD python3 ./train.py
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CMD python3 ./train.py
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CMD python3 ./test.py
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#CMD python3 ./test.py
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28
Jenkinsfile_3
Normal file
28
Jenkinsfile_3
Normal file
@ -0,0 +1,28 @@
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pipeline {
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agent any
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//Definijuemy parametry, ktore bedzie mozna podac podczas wywolywania zadania
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parameters {
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string (
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name: 'epochs_count',
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defaultValue: '10',
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description: 'How many epochs do you want to train?',
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)
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}
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stages {
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}
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stage('Run Script') {
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steps {
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script {
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sh 'docker build . -t jhenyk/ium:latest --build-arg epochs=epochs_count'
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sh 'docker run jhenyk/ium:latest'
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}
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}
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}
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stage('Archive Output') {
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steps {
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archiveArtifacts 'cifar_net.pth'
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}
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}
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}
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}
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