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### `tf.train.write_graph(graph_or_graph_def, logdir, name, as_text=True)` {#write_graph}
Writes a graph proto to a file.
The graph is written as a binary proto unless `as_text` is `True`.
```python
v = tf.Variable(0, name='my_variable')
sess = tf.Session()
tf.train.write_graph(sess.graph_def, '/tmp/my-model', 'train.pbtxt')
```
or
```python
v = tf.Variable(0, name='my_variable')
sess = tf.Session()
tf.train.write_graph(sess.graph, '/tmp/my-model', 'train.pbtxt')
```
##### Args:
* <b>`graph_or_graph_def`</b>: A `Graph` or a `GraphDef` protocol buffer.
* <b>`logdir`</b>: Directory where to write the graph. This can refer to remote
filesystems, such as Google Cloud Storage (GCS).
* <b>`name`</b>: Filename for the graph.
* <b>`as_text`</b>: If `True`, writes the graph as an ASCII proto.
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