tf.keras.utils.get_source

TensorFlow 1 version

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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
)

Arguments
`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.

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.

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tf.keras / utils / utils.get_source_inputs

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Arguments

Returns

Raises