Converts a Keras model to dot format and save to a file.
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`tf.compat.v1.keras.utils.plot_model`
tf.keras.utils.plot_model(
model,
to_file='model.png',
show_shapes=False,
show_dtype=False,
show_layer_names=True,
rankdir='TB',
expand_nested=False,
dpi=96,
layer_range=None,
show_layer_activations=False,
show_trainable=False
)
Example:
input = tf.keras.Input(shape=(100,), dtype='int32', name='input')
x = tf.keras.layers.Embedding(
output_dim=512, input_dim=10000, input_length=100)(input)
x = tf.keras.layers.LSTM(32)(x)
x = tf.keras.layers.Dense(64, activation='relu')(x)
x = tf.keras.layers.Dense(64, activation='relu')(x)
x = tf.keras.layers.Dense(64, activation='relu')(x)
output = tf.keras.layers.Dense(1, activation='sigmoid', name='output')(x)
model = tf.keras.Model(inputs=[input], outputs=[output])
dot_img_file = '/tmp/model_1.png'
tf.keras.utils.plot_model(model, to_file=dot_img_file, show_shapes=True)
Args |
model
|
A Keras model instance
|
to_file
|
File name of the plot image.
|
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.
|
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 plot 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).
|
show_trainable
|
whether to display if a layer is trainable. Displays 'T'
when the layer is trainable and 'NT' when it is not trainable.
|
Raises |
ImportError
|
if graphviz or pydot are not available.
|
ValueError
|
if plot_model is called before the model is built.
|
Returns |
A Jupyter notebook Image object if Jupyter is installed.
This enables in-line display of the model plots in notebooks.
|