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Zaktualizuj 'ml_pytorch_mlflow.py'

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Sebastian Wałęsa 2022-05-15 22:04:09 +02:00
parent acc735d7ba
commit a7fb8b63dd
1 changed files with 7 additions and 7 deletions
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ml_pytorch_mlflow.py
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@ -147,19 +147,19 @@ def my_main(epochs):
input_, target = val_ds[i] input_, target = val_ds[i]
file.write(str(predict_single(input_, target, model))) file.write(str(predict_single(input_, target, model)))
print(input_) print(val_ds)
# input_example = val_ds[0] # input_example = val_ds[0]
# # input_example = input_example.unsqueeze(0) # # input_example = input_example.unsqueeze(0)
# signature = infer_signature(input_[0], prediction(input_[0], model)) # signature = infer_signature(input_[0], prediction(input_[0], model))
# tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme # tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
if tracking_url_type_store != "file": # if tracking_url_type_store != "file":
mlflow.pytorch.log_model(model, "model", registered_model_name="s478839", signature=siganture, # mlflow.pytorch.log_model(model, "model", registered_model_name="s478839", signature=siganture,
input_example=input_example) # input_example=input_example)
else: # else:
mlflow.pytorch.log_model(model, "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.pytorch.save_model(model, "my_model", signature=siganture, input_example=input_example)
with mlflow.start_run() as run: with mlflow.start_run() as run: