  
  import tensorflow as tf
  
  from lib.model import losses, optimizers
  from lib.utils import get_backend, get_tf_version
  
  if get_backend() == "amd":
      import keras
      from keras import losses as k_losses
      from keras import backend as K
 
</s> remove if get_tf_version() < 2.4:
    import tensorflow.keras.mixed_precision.experimental as mixedprecision  # noqa pylint:disable=import-error,no-name-in-module
else:
    import tensorflow.keras.mixed_precision as mixedprecision  # noqa pylint:disable=import-error,no-name-in-module
 </s> add  </s> remove # >>> Environment
 </s> add 
from lib.utils import get_backend
  
  import tensorflow as tf
  
  from lib.model import losses, optimizers
from lib.utils import get_backend
  
  if get_backend() == "amd":
      import keras
      from keras import losses as k_losses
      from keras import backend as K
keep keep keep keep replace keep keep keep keep keep
 Update TF to 2.9
    - Update TF to 2.7 to 2.9
    - Bump dependencies
    - Remove decode from pynvml calls
    - force keras predict functions to non-verbose
    - update tests
    - update Tensorboard logging
    - Update docs 
plugins/train/model/_base/settings.py