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Update documentation for SavedModel tags.

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Christina Sorokin 2018-09-11 22:27:03 -07:00 committed by TensorFlower Gardener
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tensorflow/python/saved_model/README.md
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@ -91,10 +91,17 @@ with an asset of the same name, only the first version is retained.
#### Tags
Each meta graph added to the SavedModel must be annotated with user specified
tags. The tags provide a means to identify the specific meta graph to load and
restore, along with the shared set of variables and assets. These tags
typically annotate a MetaGraph with its functionality (e.g. serving or
training), and possibly hardware specific aspects such as GPU.
tags, which reflect the meta graph capabilities or use-cases.
More specifically, these tags typically annotate a meta graph with its
functionality (e.g. serving or training), and possibly hardware specific aspects
such as GPU.
In the SavedModel, the meta graph def whose tag-set exactly matches those
specified in the loader API, will be the one loaded by the loader.
If no meta graph def is found matching the specified tags, an error is returned.
For example, a loader with a requirement to serve on GPU hardware would be able
to load only meta graph annotated with tags='serve,gpu' by specifying this set
of tags in tensorflow::LoadSavedModel(...).
#### Usage
The typical usage of `builder` is as follows: