          Any additional Keras standard layer keyword arguments to pass to the Separable
          Convolutional 2D layer
      """
      def __init__(self, filters, kernel_size=5, strides=2, **kwargs):
          self._name = _get_name("separableconv2d_{}".format(filters))
          logger.debug("name: %s, filters: %s, kernel_size: %s, strides: %s, kwargs: %s)",
                       self._name, filters, kernel_size, strides, kwargs)
  
          self._filters = filters
          self._kernel_size = kernel_size
 
</s> remove         self._name = _get_name("residual_{}".format(filters))
 </s> add         self._name = _get_name(f"residual_{filters}") </s> remove         self._name = kwargs.pop("name") if "name" in kwargs else _get_name(
            "conv_{}".format(filters))
 </s> add         self._name = kwargs.pop("name") if "name" in kwargs else _get_name(f"conv_{filters}") </s> remove         self._name = _get_name("upscale_{}".format(filters))
 </s> add         self._name = _get_name(f"upscale_{filters}") </s> remove             "conv_output_{}".format(filters))
 </s> add             f"conv_output_{filters}") </s> remove         self._name = _get_name("upscale_ri_{}".format(filters))
 </s> add         self._name = _get_name(f"upscale_ri_{filters}")
        self._name = _get_name(f"separableconv2d_{filters}")
          Any additional Keras standard layer keyword arguments to pass to the Separable
          Convolutional 2D layer
      """
      def __init__(self, filters, kernel_size=5, strides=2, **kwargs):
        self._name = _get_name(f"separableconv2d_{filters}")
          logger.debug("name: %s, filters: %s, kernel_size: %s, strides: %s, kwargs: %s)",
                       self._name, filters, kernel_size, strides, kwargs)
  
          self._filters = filters
          self._kernel_size = kernel_size
keep keep keep keep replace keep keep keep keep keep
 Update all Keras Imports to be conditional (#1214)

* Remove custom keras importer

* first round keras imports fix

* launcher.py: Remove KerasFinder references

* 2nd round keras imports update (lib and extract)

* 3rd round keras imports update (train)

* remove KerasFinder from tests

* 4th round keras imports update (tests) 
lib/model/nn_blocks.py