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update jenkinsfile_train-sacred, dllib-mlflow.py
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This commit is contained in:
Maciej Czajka 2022-05-11 17:47:10 +02:00
parent 671d474210
commit aa04c968ed
2 changed files with 5 additions and 14 deletions
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18
Biblioteka_DL/dllib-mlflow.py
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@ -20,7 +20,7 @@ from sacred.observers import MongoObserver
# EPOCHS = int(sys.argv[1])
#
# mlflow.set_tracking_uri("http://172.17.0.1:5000")
mlflow.set_experiment("s444356")
class Model(nn.Module):
@ -307,21 +307,13 @@ def my_main(epochs):
tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
# print(tracking_url_type_store)
# if tracking_url_type_store != "file":
# mlflow.pytorch.log_model(model, "model", registered_model_name="s444356", signature=siganture,
# input_example=input_example)
# else:
# mlflow.pytorch.log_model(model, "model", signature=siganture, input_example=input_example)
# mlflow.pytorch.save_model(model, "my_model", signature=siganture, input_example=input_example)
mlflow.pytorch.log_model(model, "model", signature=siganture, input_example=input_example)
mlflow.pytorch.save_model(model, "my_model", signature=siganture, input_example=input_example)
mlflow.set_tracking_uri("http://172.17.0.1:5000")
if tracking_url_type_store != "file":
mlflow.pytorch.log_model(model, "model", registered_model_name="s444356", signature=siganture,
input_example=input_example)
else:
mlflow.pytorch.log_model(model, "model", signature=siganture, input_example=input_example)
mlflow.pytorch.save_model(model, "my_model", signature=siganture, input_example=input_example)
for epoch in range(1, epochs + 1):
print("Epoch #", epoch)

1
Jenkinsfile_train-sacred
View File

@ -17,7 +17,6 @@ pipeline {
stage('Script'){
steps {
copyArtifacts filter: '*', projectName: 's444356-create-dataset'
sh 'rm -r my_model'
sh "python Biblioteka_DL/dllib-mlflow.py $EPOCHS"
archiveArtifacts artifacts: 'games_model.pkl'
sh 'ls -al'