tf.keras.utils.model_to_dot

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Convert a Keras model to dot format.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.utils.model_to_dot

tf.keras.utils.model_to_dot(
    model,
    show_shapes=False,
    show_dtype=False,
    show_layer_names=True,
    rankdir='TB',
    expand_nested=False,
    dpi=96,
    subgraph=False,
    layer_range=None,
    show_layer_activations=False
)

Args
model	A Keras model instance.
show_shapes	whether to display shape information.
show_dtype	whether to display layer dtypes.
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.
layer_range	input of list containing two str items, which is the starting layer name and ending layer name (both inclusive) indicating the range of layers for which the pydot.Dot will be generated. It also accepts regex patterns instead of exact name. In such case, start predicate will be the first element it matches to layer_range[0] and the end predicate will be the last element it matches to layer_range[1]. By default None which considers all layers of model. Note that you must pass range such that the resultant subgraph must be complete.
show_layer_activations	Display layer activations (only for layers that have an activation property).

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

Raises
ValueError	if model_to_dot is called before the model is built.
ImportError	if graphviz or pydot are not available.