              log_dir = os.path.join(str(self.model.model_dir),
                                     "{}_logs".format(self.model.name),
                                     side,
                                     "session_{}".format(self.model.state.session_id))
              tbs = tf_keras.callbacks.TensorBoard(log_dir=log_dir,
                                                   histogram_freq=0,  # Must be 0 or hangs
                                                   batch_size=self.batch_size,
                                                   write_graph=True,
                                                   write_grads=True)
              tbs.set_model(self.model.predictors[side])
              tensorboard[side] = tbs
          logger.info("Enabled TensorBoard Logging")
          return tensorboard
  
 
</s> remove         self.conda_required_packages = [("ffmpeg", "conda-forge"), ("tk", )]
 </s> add         self.conda_required_packages = [("tk", )] </s> remove                          "Specify a trainer with the '-t', '--trainer' option.")
 </s> add                          "Specify a trainer with the '-t', '--trainer' option.", len(statefile)) </s> remove             self.output.error("Please run this script with Python version 3.3, 3.4, 3.5 or 3.6 "
                              "64bit and try again.")
 </s> add             self.output.error("Please run this script with Python version 3.3, 3.4, 3.5, 3.6 or "
                              "3.7 64bit and try again.") </s> remove                 and self.py_version[0].split(".")[1] in ("3", "4", "5", "6")
 </s> add                 and self.py_version[0].split(".")[1] in ("3", "4", "5", "6", "7")
            tbs = tf.keras.callbacks.TensorBoard(log_dir=log_dir, **self.tensorboard_kwargs)
              log_dir = os.path.join(str(self.model.model_dir),
                                     "{}_logs".format(self.model.name),
                                     side,
                                     "session_{}".format(self.model.state.session_id))
            tbs = tf.keras.callbacks.TensorBoard(log_dir=log_dir, **self.tensorboard_kwargs)
            tbs = tf.keras.callbacks.TensorBoard(log_dir=log_dir, **self.tensorboard_kwargs)
            tbs = tf.keras.callbacks.TensorBoard(log_dir=log_dir, **self.tensorboard_kwargs)
            tbs = tf.keras.callbacks.TensorBoard(log_dir=log_dir, **self.tensorboard_kwargs)
            tbs = tf.keras.callbacks.TensorBoard(log_dir=log_dir, **self.tensorboard_kwargs)
              tbs.set_model(self.model.predictors[side])
              tensorboard[side] = tbs
          logger.info("Enabled TensorBoard Logging")
          return tensorboard
  
keep keep keep keep replace replace replace replace replace keep keep keep keep keep
 Full RTX Support

Remove FFMPEG from Conda Requirements
Fix Tensorboard logging for Tensorflow 1.13.1
Bump default Conda Tensorflow to 1.13.1
Update max python version to 3.7 
plugins/train/trainer/_base.py