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fix: use correct TF version in empty framework_version warning #756

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Merged
merged 3 commits into from
Apr 19, 2019
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fix: use correct TF version in empty framework_version warning #756

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f209e6e
fix: use correct TF version in empty framework_version warning
laurenyu Apr 18, 2019
42c7f30
Merge branch 'master' into tf-latest-version-var
laurenyu Apr 18, 2019
4a723b5
Merge branch 'master' into tf-latest-version-var
laurenyu Apr 19, 2019
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2 changes: 1 addition & 1 deletion src/sagemaker/tensorflow/estimator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -229,7 +229,7 @@ def __init__(self, training_steps=None, evaluation_steps=None, checkpoint_path=N
**kwargs: Additional kwargs passed to the Framework constructor.
"""
if framework_version is None:
LOGGER.warning(fw.empty_framework_version_warning(TF_VERSION, TF_VERSION))
LOGGER.warning(fw.empty_framework_version_warning(TF_VERSION, self.LATEST_VERSION))
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self.LATEST_VERSION looks wrong to me as LATEST_VERSION is not class variable, it is defined outside the init.
It should be just LATEST_VERSION

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it's defined in the class TensorFlow:

sagemaker-python-sdk/src/sagemaker/tensorflow/estimator.py

Lines 170 to 174 in 42c7f30

class TensorFlow(Framework):
"""Handle end-to-end training and deployment of user-provided TensorFlow code."""
__framework_name__ = 'tensorflow'
LATEST_VERSION = '1.12'

LATEST_VERSION (without self) would work only if it is defined outside of the TensorFlow class:

>>> class A:
...     FOO = 1
...     def __init__(self):
...         print(FOO)
... 
>>> A()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "<stdin>", line 4, in __init__
NameError: name 'FOO' is not defined

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Ok Thanks for the explanation.

self.framework_version = framework_version or TF_VERSION
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Still you haven't changed TF_VERSION to LATEST_VERSION

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The initial reported issue is that TF_VERSION is set '1.11' and LATEST_VERSION is set '1.12'. TF_VERSION should be replaced by LATEST_VERSION. Or TF_VERSION should be updated to 1.12

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I understand that the transition from having an updating default value to requiring framework_version be explicitly defined could be better, and I apologize for the inconvenience. There's more explanation in #754 around this, and there'll be a separate PR for the documentation changes proposed in #754.


super(TensorFlow, self).__init__(image_name=image_name, **kwargs)
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2 changes: 1 addition & 1 deletion tests/unit/test_tf_estimator.py
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Expand Up @@ -697,7 +697,7 @@ def test_empty_framework_version(warning, sagemaker_session):
framework_version=None)

assert estimator.framework_version == defaults.TF_VERSION
warning.assert_called_with(defaults.TF_VERSION, defaults.TF_VERSION)
warning.assert_called_with(defaults.TF_VERSION, estimator.LATEST_VERSION)


def _deprecated_args_msg(args):
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