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.
I've written custom parsers and emitters for everything from docstrings to classes and functions. However, I recently came across an issue with the TensorFlow codebase: inconsistent use of Args: and Arguments: in its docstrings. It is easy enough to extend my parsers to support both variants, however it looks like Arguments: is wrong anyway, as per:
I've written custom parsers and emitters for everything from docstrings to classes and functions. However, I recently came across an issue with the TensorFlow codebase: inconsistent use of
Args:
andArguments:
in its docstrings. It is easy enough to extend my parsers to support both variants, however it looks likeArguments:
is wrong anyway, as per:https://google.github.io/styleguide/pyguide.html#doc-function-args @
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https://chromium.googlesource.com/chromiumos/docs/+/master/styleguide/python.md#describing-arguments-in-docstrings @
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https://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_google.html @
c0ae8e3
Therefore, only
Args:
is valid. This PR replaces them throughout the codebase.PS: For related PRs, see tensorflow/tensorflow/pull/45420