      crop: int
          The amount of 2D cropping to apply
      """
      def __init__(self, level, scale, crop):
          self._name = "_pool{}".format(level)
          self._cropping = ((crop, crop), (crop, crop))
          self._scale = scale
  
      def __call__(self, inputs):
          """ Score pool block.
 
</s> remove         self._name = "_pool{}".format(level)
 </s> add         self._name = f"_pool{level}" </s> remove         self._name = "conv{}_".format(level)
 </s> add         self._name = f"conv{level}_" </s> remove         self._name = "conv{}_".format(level)
 </s> add         self._name = f"conv{level}_" </s> remove         self._name = _get_name("upscale_ri_{}".format(filters))
 </s> add         self._name = _get_name(f"upscale_ri_{filters}") </s> remove         self._name = _get_name("separableconv2d_{}".format(filters))
 </s> add         self._name = _get_name(f"separableconv2d_{filters}")
        self._name = f"_pool{level}"
      crop: int
          The amount of 2D cropping to apply
      """
      def __init__(self, level, scale, crop):
        self._name = f"_pool{level}"
          self._cropping = ((crop, crop), (crop, crop))
          self._scale = scale
  
      def __call__(self, inputs):
          """ Score pool block.
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) 
plugins/extract/mask/vgg_obstructed.py