tf.keras.utils.model_to_dot

Convert a Keras model to dot format.

Compat aliases for migration

tf.compat.v1.keras.utils.model_to_dot, `tf.compat.v2.keras.utils.model_to_dot`

tf.keras.utils.model_to_dot(
    model, show_shapes=False, show_layer_names=True, rankdir='TB',
    expand_nested=False, dpi=96, subgraph=False
)

Arguments
`model`	A Keras model instance.
`show_shapes`	whether to display shape information.
`show_layer_names`	whether to display layer names.
`rankdir`	`rankdir` argument passed to PyDot, a string specifying the format of the plot: 'TB' creates a vertical plot; 'LR' creates a horizontal plot.
`expand_nested`	whether to expand nested models into clusters.
`dpi`	Dots per inch.
`subgraph`	whether to return a `pydot.Cluster` instance.

Returns
A `pydot.Dot` instance representing the Keras model or a `pydot.Cluster` instance representing nested model if `subgraph=True`.

Raises
`ImportError`	if graphviz or pydot are not available.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/utils/model_to_dot