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Request to add API documentation for using tf.flags #503

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NianzuMa opened this issue Dec 14, 2015 · 3 comments
Closed

Request to add API documentation for using tf.flags #503

NianzuMa opened this issue Dec 14, 2015 · 3 comments
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type:docs-bug Document issues

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@NianzuMa
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I saw some tensorflow project contains hyperparameter configuration like:
tf.flags.DEFINE_integer("embedding_dim", 128, "Dimensionality of character embedding (default: 128)")

I think it is better to add corresponding document for using this feature.

@mrry mrry added the type:docs-bug Document issues label Dec 14, 2015
@mrry
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mrry commented Dec 14, 2015

Our policy so far has been only to document the features that we intend to support in TensorFlow long-term. Currently we use python-gflags as the implementation for tf.flags, but this is subject to change in future. In the meantime, the documentation for that library is the best source of usage information.

@mrry mrry closed this as completed Dec 14, 2015
@tobegit3hub
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I'm not sure if TensorFlow will use python-gflags in long-term or not, it would be better to add the link to refer to python-glags's documentation. Anyway, it seems that project has little document, either :(

tarasglek pushed a commit to tarasglek/tensorflow that referenced this issue Jun 20, 2017
added python3 support to read_label_file
@bibhu107
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Now Is there any documentation for hyperparameter configuration like?

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