update dllib-mlflow.py
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e10b25c9c9
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@ -291,6 +291,7 @@ def my_main(epochs):
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loss_fn = nn.CrossEntropyLoss()
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loss_fn = nn.CrossEntropyLoss()
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# epochs = 1000
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# epochs = 1000
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# epochs = epochs
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# epochs = epochs
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mlflow.log_param("epochs", epochs)
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def print_(loss):
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def print_(loss):
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print ("The loss calculated: ", loss)
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print ("The loss calculated: ", loss)
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@ -304,6 +305,8 @@ def my_main(epochs):
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loss = loss_fn(y_pred, y_train.squeeze(-1))
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loss = loss_fn(y_pred, y_train.squeeze(-1))
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print_(loss.item())
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print_(loss.item())
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mlflow.log_param("loss", loss.item)
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# Zero gradients
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# Zero gradients
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optimizer.zero_grad()
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optimizer.zero_grad()
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loss.backward() # Gradients
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loss.backward() # Gradients
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@ -329,4 +332,3 @@ def my_main(epochs):
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with mlflow.start_run() as run:
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with mlflow.start_run() as run:
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my_main(epochs)
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my_main(epochs)
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mlflow.log_param("epochs", epochs)
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