Zaktualizuj 'ml_pytorch_mlflow.py'
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@ -146,11 +146,13 @@ def my_main(epochs):
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for i in range(0, len(val_ds), 1):
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for i in range(0, len(val_ds), 1):
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input_, target = val_ds[i]
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input_, target = val_ds[i]
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file.write(str(predict_single(input_, target, model)))
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file.write(str(predict_single(input_, target, model)))
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input_example = val_ds[0]
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print(input_)
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# input_example = input_example.unsqueeze(0)
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signature = infer_signature(input_[0], prediction(input_[0], model))
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# input_example = val_ds[0]
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tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
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# # input_example = input_example.unsqueeze(0)
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# signature = infer_signature(input_[0], prediction(input_[0], model))
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# tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
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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="s478839", signature=siganture,
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mlflow.pytorch.log_model(model, "model", registered_model_name="s478839", signature=siganture,
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