tf.io.write_graph
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Writes a graph proto to a file.
tf.io.write_graph(
graph_or_graph_def, logdir, name, as_text=True
)
The graph is written as a text proto unless as_text
is False
.
v = tf.Variable(0, name='my_variable')
sess = tf.compat.v1.Session()
tf.io.write_graph(sess.graph_def, '/tmp/my-model', 'train.pbtxt')
or
v = tf.Variable(0, name='my_variable')
sess = tf.compat.v1.Session()
tf.io.write_graph(sess.graph, '/tmp/my-model', 'train.pbtxt')
Args |
graph_or_graph_def
|
A Graph or a GraphDef protocol buffer.
|
logdir
|
Directory where to write the graph. This can refer to remote
filesystems, such as Google Cloud Storage (GCS).
|
name
|
Filename for the graph.
|
as_text
|
If True , writes the graph as an ASCII proto.
|
Returns |
The path of the output proto file.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.io.write_graph\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/io/write_graph) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/framework/graph_io.py#L30-L75) |\n\nWrites a graph proto to a file.\n\n#### View aliases\n\n\n**Main aliases**\n\n\\`tf.train.write_graph\\`\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.io.write_graph`](/api_docs/python/tf/io/write_graph), [`tf.compat.v1.train.write_graph`](/api_docs/python/tf/io/write_graph), \\`tf.compat.v2.io.write_graph\\`\n\n\u003cbr /\u003e\n\n tf.io.write_graph(\n graph_or_graph_def, logdir, name, as_text=True\n )\n\nThe graph is written as a text proto unless `as_text` is `False`. \n\n v = tf.Variable(0, name='my_variable')\n sess = tf.compat.v1.Session()\n tf.io.write_graph(sess.graph_def, '/tmp/my-model', 'train.pbtxt')\n\nor \n\n v = tf.Variable(0, name='my_variable')\n sess = tf.compat.v1.Session()\n tf.io.write_graph(sess.graph, '/tmp/my-model', 'train.pbtxt')\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------------------|---------------------------------------------------------------------------------------------------------------|\n| `graph_or_graph_def` | A `Graph` or a `GraphDef` protocol buffer. |\n| `logdir` | Directory where to write the graph. This can refer to remote filesystems, such as Google Cloud Storage (GCS). |\n| `name` | Filename for the graph. |\n| `as_text` | If `True`, writes the graph as an ASCII proto. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| The path of the output proto file. ||\n\n\u003cbr /\u003e"]]