train parametr modify
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@ -23,6 +23,8 @@ WORKDIR /app
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# RUN chmod +x skrypt.sh
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# RUN dos2unix skrypt.sh
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COPY ./start_dlgssdpytorch.sh ./
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RUN chmod +x start_dlgssdpytorch.sh
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COPY ./dlgssdpytorch.py ./
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RUN chmod +x dlgssdpytorch.py
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COPY ./create_dataset.py ./
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@ -32,8 +32,10 @@ pipeline {
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def img = docker.build('rokoch/ium:01')
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img.inside {
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sh 'rm -rf my_model'
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sh 'chmod +x dlgssdpytorch.py'
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sh 'python3 ./dlgssdpytorch.py $PARAMETRY'
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//sh 'chmod +x dlgssdpytorch.py'
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//sh 'python3 ./dlgssdpytorch.py $PARAMETRY'
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sh 'chmod +x start_dlgssdpytorch.sh'
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sh './start_dlgssdpytorch.sh $PARAMETRY'
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sh 'chmod +x train_mlflow.py'
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sh 'python3 ./train_mlflow.py $PARAMETRY'
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//sh 'mlflow run --experiment-name s426206 .' //Uruchamiany projekt nie moze znajdowac sie w katalogach z wielkimi literami.
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@ -11,7 +11,7 @@ from sacred.observers import MongoObserver, FileStorageObserver
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ex = Experiment("426206", interactive=False, save_git_info=False)
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ex.observers.append(FileStorageObserver('my_runs'))
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ex.observers.append(MongoObserver(url='mongodb://mongo_user:mongo_password_IUM_2021@172.17.0.1:27017', db_name='sacred'))
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#ex.observers.append(MongoObserver(url='mongodb://mongo_user:mongo_password_IUM_2021@172.17.0.1:27017', db_name='sacred'))
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class LayerLinearRegression(nn.Module):
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def __init__(self):
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super().__init__()
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43
start_dlgssdpytorch.sh
Normal file
43
start_dlgssdpytorch.sh
Normal file
@ -0,0 +1,43 @@
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#!/bin/bash
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POSITIONAL=()
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while [[ $# -gt 0 ]]
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do
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key="$1"
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case $key in
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-e|--epochs)
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EPOCHS="$2"
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shift # past argument
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shift # past value
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;;
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-l|--lr)
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LR="$2"
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shift # past argument
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shift # past value
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;;
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--default)
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DEFAULT=YES
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shift # past argument
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;;
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*) # unknown option
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POSITIONAL+=("$1") # save it in an array for later
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shift # past argument
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;;
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esac
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done
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set -- "${POSITIONAL[@]}" # restore positional parameters
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if ! [ -z ${EPOCHS} ] && ! [ -z ${LR} ];
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then
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python3 dlgssdpytorch.py with n_epochs=${EPOCHS} lr=${LR}
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elif ! [ -z ${EPOCHS} ];
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then
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python3 dlgssdpytorch.py with n_epochs=${EPOCHS}
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elif ! [ -z ${LR} ];
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then
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python3 dlgssdpytorch.py with lr=${LR}
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else
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python3 dlgssdpytorch.py
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fi
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