      @staticmethod
      def test_for_tf_version():
          """ Check that the minimum required Tensorflow version is installed """
          min_ver = 1.12
          max_ver = 1.14
          try:
              # Ensure tensorflow doesn't pin all threads to one core when using tf-mkl
              os.environ["KMP_AFFINITY"] = "disabled"
              import tensorflow as tf
          except ImportError as err:
 
</s> remove pynvx==0.0.4 ; sys_platform == "darwin"
 </s> add pynvx==1.0.0 ; sys_platform == "darwin" </s> remove     @staticmethod
    def set_verbosity(loglevel):
        """ Set the system output verbosity """
        set_system_verbosity(loglevel)

 </s> add  </s> remove from lib.utils import (camel_case_split, get_image_paths, set_system_verbosity, _video_extensions)
 </s> add from lib.utils import (camel_case_split, get_image_paths, _video_extensions) </s> remove from lib.utils import GetModel, set_system_verbosity, FaceswapError
 </s> add from lib.utils import GetModel, FaceswapError
        max_ver = 1.15
      @staticmethod
      def test_for_tf_version():
          """ Check that the minimum required Tensorflow version is installed """
          min_ver = 1.12
        max_ver = 1.15
          try:
              # Ensure tensorflow doesn't pin all threads to one core when using tf-mkl
              os.environ["KMP_AFFINITY"] = "disabled"
              import tensorflow as tf
          except ImportError as err:
keep keep keep keep replace keep keep keep keep keep
 Update Dependencies (#950)

* 1st Round update for Python 3.7, TF1.15, Keras2.3
    Move Tensorflow logging verbosity prior to first tensorflow import
    Keras Optimizers and nn_block update
    lib.logger - Change tf deprecation messages from WARNING to DEBUG
    Raise Tensorflow Max version check to 1.15
    Update requirements and conda check for python 3.7+
    Update install scripts, travis and documentation to Python 3.7

* Revert Keras to 2.2.4 
lib/cli.py