              'keepdims': self._keepdims
          })
          return config
  
      def compute_output_shape(self, input_shape):
          """Computes the output shape of the layer.
  
          Assumes that the layer will be built to match that input shape provided.
  
          Parameters
          ----------
 
</s> remove         Assumes that the layer will be built to match that input shape provided.
 </s> add     def call(self, inputs):
        """ Call the L2 Normalization Layer. </s> remove     def compute_output_shape(self, input_shape):  # pylint:disable=unused-argument
        """Computes the output shape of the layer.
 </s> add         return [input_], [cls1, reg1, cls2, reg2, cls3, reg3, cls4, reg4, cls5, reg5, cls6, reg6] </s> remove         Assumes that the layer will be built to match that input shape provided.
 </s> add     @classmethod
    def conv_block(cls, inputs, filters, idx, recursions):
        """ First round convolutions with zero padding added. </s> remove         config.update({
            'axes': self._axes,
            'keepdims': self._keepdims
        })
 </s> add         config.update({"starts": self._starts,
                       "ends": self._ends,
                       "axes": self._axes,
                       "steps": self._steps}) </s> remove         Parameters
        ----------
        inputs: Input tensor, or list/tuple of input tensors.
            The input to the layer. Required for parent class but unused
        **kwargs: Additional keyword arguments.
            Required for parent class but unused
        Returns
        -------
        A tensor or list/tuple of tensors.
            The layer output
        """
        data = K.constant(self._constant, dtype=self._dtype)
        return data
 </s> add         bmax = Maximum()([chunks[0], chunks[1], chunks[2]])
        cls1 = Concatenate()([bmax, chunks[3]])
              'keepdims': self._keepdims
          })
          return config
  


  
          Assumes that the layer will be built to match that input shape provided.
  
          Parameters
          ----------
keep keep keep keep replace replace keep keep keep keep keep
 extract: S3FD - Convert to re-enable CPU 
plugins/extract/detect/s3fd.py