diff options
Diffstat (limited to 'tensorflow/docs_src/api_guides/python/meta_graph.md')
| -rw-r--r-- | tensorflow/docs_src/api_guides/python/meta_graph.md | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/tensorflow/docs_src/api_guides/python/meta_graph.md b/tensorflow/docs_src/api_guides/python/meta_graph.md index f1c3adc22c..7dbd9a56f4 100644 --- a/tensorflow/docs_src/api_guides/python/meta_graph.md +++ b/tensorflow/docs_src/api_guides/python/meta_graph.md @@ -7,10 +7,10 @@ term storage of graphs. The MetaGraph contains the information required to continue training, perform evaluation, or run inference on a previously trained graph. The APIs for exporting and importing the complete model are in -the @{tf.train.Saver} class: -@{tf.train.export_meta_graph} +the `tf.train.Saver` class: +`tf.train.export_meta_graph` and -@{tf.train.import_meta_graph}. +`tf.train.import_meta_graph`. ## What's in a MetaGraph @@ -24,7 +24,7 @@ protocol buffer. It contains the following fields: * [`CollectionDef`](https://www.tensorflow.org/code/tensorflow/core/protobuf/meta_graph.proto) map that further describes additional components of the model such as @{$python/state_ops$`Variables`}, -@{tf.train.QueueRunner}, etc. +`tf.train.QueueRunner`, etc. In order for a Python object to be serialized to and from `MetaGraphDef`, the Python class must implement `to_proto()` and @@ -122,7 +122,7 @@ The API for exporting a running model as a MetaGraph is `export_meta_graph()`. The MetaGraph is also automatically exported via the `save()` API in -@{tf.train.Saver}. +`tf.train.Saver`. ## Import a MetaGraph |