update jenkinsfile_train-sacred
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@ -20,7 +20,7 @@ from sacred.observers import MongoObserver
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# EPOCHS = int(sys.argv[1])
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# EPOCHS = int(sys.argv[1])
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# mlflow.set_tracking_uri("http://172.17.0.1:5000")
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#
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mlflow.set_experiment("s444356")
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mlflow.set_experiment("s444356")
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class Model(nn.Module):
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class Model(nn.Module):
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@ -307,13 +307,21 @@ def my_main(epochs):
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tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
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tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
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# print(tracking_url_type_store)
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# print(tracking_url_type_store)
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# if tracking_url_type_store != "file":
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# mlflow.pytorch.log_model(model, "model", registered_model_name="s444356", signature=siganture,
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# input_example=input_example)
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# else:
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# mlflow.pytorch.log_model(model, "model", signature=siganture, input_example=input_example)
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# mlflow.pytorch.save_model(model, "my_model", signature=siganture, input_example=input_example)
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mlflow.pytorch.log_model(model, "model", signature=siganture, input_example=input_example)
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mlflow.pytorch.save_model(model, "my_model", signature=siganture, input_example=input_example)
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mlflow.set_tracking_uri("http://172.17.0.1:5000")
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if tracking_url_type_store != "file":
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if tracking_url_type_store != "file":
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mlflow.pytorch.log_model(model, "model", registered_model_name="s444356", signature=siganture,
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mlflow.pytorch.log_model(model, "model", registered_model_name="s444356", signature=siganture,
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input_example=input_example)
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input_example=input_example)
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else:
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mlflow.pytorch.log_model(model, "model", signature=siganture, input_example=input_example)
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mlflow.pytorch.save_model(model, "my_model", signature=siganture, input_example=input_example)
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for epoch in range(1, epochs + 1):
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for epoch in range(1, epochs + 1):
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print("Epoch #", epoch)
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print("Epoch #", epoch)
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