Btw., standalone Keras (at least 2.2.4) did not print this message. I have now added this to the issue description.

I am a new contributor to tensorflow, and changed and added feature. But i can't push branch. shows error like this

remote: Permission to tensorflow/tensorflow.git denied to anuragcp.

@anuragcp, you have to push it to your own fork, then create a pull request.

Okey thanks. Let me check.

I now found the relevant code location: It's in directory_iterator.py of the project keras_preprocessing!

Here is a similar issue: keras-team/keras-preprocessing#304 .

Hi @jondo , is this what you are looking for to implement, I don't know how correct this https://www.tensorflow.org/api_docs/python/tf/compat/v1/logging is as it is still in version 1 and there seem to be no ports to 2 and the only reference to it I found was for tf.autograph.set_verbosity. I hope this helps.
An simple high-level call I found was in keras.callbacks

if self.verbose > 0: print('\nEpoch %05d: saving model to %s' % (epoch + 1, filepath))

in tf./python./keras./callbacks using progbar

According to the release notes, current Tensorflow 2.3.0 introduced a new Keras dataset generation utility (emphasis added):

image_dataset_from_directory is a utility based on tf.data.Dataset, meant to replace the legacy ImageDataGenerator. It takes you from a structured directory of images to a labeled dataset, in one function call. Note that it doesn't perform image data augmentation (which is meant to be done using preprocessing layers).

This means that I'll simply comment out the annoying print command locally for now.

tf.keras.preprocessing.image.ImageDataGenerator will be deprecated in upcoming Tensorflow version and is not recommended for new code. Prefer loading images with tf.keras.utils.image_dataset_from_directory and transforming the output tf.data.Dataset with preprocessing layers.

This issue has been automatically marked as stale because it has no recent activity. It will be closed if no further activity occurs. Thank you.

Closing as stale. Please reopen if you'd like to work on this further.