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tf.compat.v1.GraphDef

A protobuf containing the graph of operations.

Migrate to TF2

Caution: This API was designed for TensorFlow v1. Continue reading for details on how to migrate from this API to a native TensorFlow v2 equivalent. See the TensorFlow v1 to TensorFlow v2 migration guide for instructions on how to migrate the rest of your code.

This API is not available in TensorFlow 2.x.

You should not need to use GraphDefs directly in TF2. To load GraphDefs in TF2, use SavedModel. The SavedModel contains the GraphDef.

Before:

with tf.io.gfile.GFile('/tmp/graph.pb', 'rb') as f:
  graph_def = tf.compat.v1.GraphDef()
  graph_def.ParseFromString(f.read())

After:

tf.saved_model.load('/tmp/saved_model')

If you would like to create a GraphDef in TF2, use tf.function and get_concrete_function.

@tf.function
def f(x):
  return x

graph_def = f.get_concrete_function(1.).graph.as_graph_def()
print(graph_def)

Description

Used in the notebooks

Used in the guide
  • Migrating your TFLite code to TF2
Attributes
debug_info GraphDebugInfo debug_info
library FunctionDefLibrary library
node repeated NodeDef node
version int32 version
versions VersionDef versions

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/compat/v1/GraphDef

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