tf.keras.applications.resnet_rs.preprocess_input
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A placeholder method for backward compatibility.
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. None means
the global setting tf.keras.backend.image_data_format() is used
(unless you changed it, it uses "channels_last").
Defaults to None.
|
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Last updated 2024-01-23 UTC.
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View source on GitHub