fix: Validation args now use default framework_version for TensorFlow #1087
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hyche
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hyche
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| @@ -302,7 +302,7 @@ def __init__( | |||
| self._validate_args( | |||
| py_version=py_version, | |||
| script_mode=script_mode, | |||
| framework_version=framework_version, | |||
| framework_version=self.framework_version, | |||
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Nice catch!
We should probably pass in the self referenced version of all the passed parameters in order to keep it consistent. Is that okay with you?
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Actually... I'm wondering if it makes more sense to validate before defaulting. Since there is a chance that a user wants to use X, but due to this change it will default and pass when in theory it should have failed. Your thoughts?
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I don't think I understand what you meant. Because the document says
framework_version (str): ..If not specified, this will default to 1.11.
That's why I made this change, so we should validate after defaulting right, otherwise if will throw exception on None value whereas it shouldn't ? However, I think there is better way to fix this, ie. Following this approach (https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/tensorflow/model.py#L56), which using not-None default arguments. What do you think ?
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@hyche, I agree with you.
As for the better way of fixing it, I think we can't default at the parameter level due to this method expecting a None:
The original code change you provided works!
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ChoiByungWook
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Which should be passed modified variable.
Description of changes:
framework_version is passed from passed argument but not modified self.framework_version, which leads to false validation, although it shouldn't
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