tensorflow / cloud

The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.

Home Page:https://github.com/tensorflow/cloud

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Avoid using private APIs in implementation

ucdmkt opened this issue · comments

In src/python/tensorflow_cloud/core/deploy.py, there should not be a call to protected API under `SubProcessError.

Plus, I don't believe _get_reason() is even implemented for SubProcessError, according to source code