Help protect the Great Barrier Reef with TensorFlow on Kaggle Join Challenge


A placeholder method for backward compatibility.

The preprocessing logic has been included in the EfficientNetV2 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.

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}

Unchanged numpy.array or tf.Tensor.