A placeholder method for backward compatibility.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
`tf.compat.v1.keras.applications.regnet.preprocess_input`
tf.keras.applications.regnet.preprocess_input(
x, data_format=None
)
The preprocessing logic has been included in the efficientnet model
implementation. Users are no longer required to call this method to normalize
the input data. This method does nothing and only kept as a placeholder to
align the API surface between old and new version of model.
Args |
x
|
A floating point numpy.array or a tf.Tensor .
|
data_format
|
Optional data format of the image tensor/array. Defaults to
None, in which case the global setting
tf.keras.backend.image_data_format() is used (unless you changed it, it
defaults to "channels_last").{mode}
|