# tf.compat.v1.GraphDef

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.14.0/tensorflow/core/framework/graph.proto) |

A protobuf containing the graph of operations.

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## Migrate to TF2

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> [!CAUTION]
> **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](https://www.tensorflow.org/guide/migrate) 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 `GraphDef`s directly in TF2. To load `GraphDef`s 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`](https://www.tensorflow.org/versions/r2.14/api_docs/python/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)

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## Description

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| ## Attributes ||
|---|---|
| `debug_info` | `GraphDebugInfo debug_info` |
| `library` | `FunctionDefLibrary library` |
| `node` | `repeated NodeDef node` |
| `version` | `int32 version` |
| `versions` | `VersionDef versions` |

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