tf.keras.applications.resnet_rs.preprocess_input

A placeholder method for backward compatibility.

View aliases

Compat aliases for migration

See Migration guide for more details.

`tf.compat.v1.keras.applications.resnet_rs.preprocess_input`

tf.keras.applications.resnet_rs.preprocess_input(
    x, data_format=None
)

The preprocessing logic has been included in the ResnetRS 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}

Returns
Unchanged numpy.array or tf.Tensor.