Hi there!!
I’m gathering some feebacks from the community in order to know what you guys think to fix the minimum TensorFlow version to 2.2?
This would allow the models to be compliant with several cool features such as:
-
Model.train_step
method to create simple custom training loop that can be used withModel.fit
- Pre-computed SavedModel inputs/outputs with
Model._saved_model_inputs_spec
- Make use of the new
tf.data.experimental.assert_cardinality
that can fix a size to a TFRecord orfrom_generator
TensorFlow Datasets. - Drop the Python 2 support such as transformers itself.
Let me know here all your suggestions about this