          """This is where the layer's logic lives.
  
          Parameters
          ----------
          inputs: Input tensor, or list/tuple of input tensors.
              The input to the layer
          **kwargs: Additional keyword arguments.
              Required for parent class but unused
          Returns
          -------
          A tensor or list/tuple of tensors.
              The layer output
          """
 
</s> remove         Parameters
        ----------
        inputs: Input tensor, or list/tuple of input tensors.
            The input to the layer
        **kwargs: Additional keyword arguments.
            Required for parent class but unused
 </s> add  </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]]) </s> remove         Parameters
        ----------
        inputs: Input tensor, or list/tuple of input tensors.
            The input to the layer
        **kwargs: Additional keyword arguments.
            Required for parent class but unused
        Returns
        -------
        A tensor or list/tuple of tensors.
            The layer output
        """
        raise NotImplementedError()
 </s> add         var_x = self.conv_block(var_x, 512, 5, 3)
        f5_3 = var_x
        var_x = MaxPooling2D(pool_size=2, strides=2)(var_x) </s> remove         A tensor or list/tuple of tensors.
            The layer output
 </s> add         dict
            The configuration for the layer </s> remove         Parameters
        ----------
        inputs: Input tensor, or list/tuple of input tensors.
            The input to the layer
        **kwargs: Additional keyword arguments.
            Required for parent class but unused
        Returns
        -------
        A tensor or list/tuple of tensors.
            The layer output
        """
        return K.sqrt(inputs)
 </s> add         f5_3 = ZeroPadding2D(1)(f5_3)
        cls3 = Conv2D(2, kernel_size=3, strides=1, name="conv5_3_norm_mbox_conf")(f5_3)
        reg3 = Conv2D(4, kernel_size=3, strides=1, name="conv5_3_norm_mbox_loc")(f5_3)
        batch: class:`numpy.ndarray`
            The batch to be fed to the model

          """This is where the layer's logic lives.
  
          Parameters
          ----------
        batch: class:`numpy.ndarray`
            The batch to be fed to the model

        batch: class:`numpy.ndarray`
            The batch to be fed to the model

        batch: class:`numpy.ndarray`
            The batch to be fed to the model

        batch: class:`numpy.ndarray`
            The batch to be fed to the model

          Returns
          -------
          A tensor or list/tuple of tensors.
              The layer output
          """
keep keep keep keep replace replace replace replace keep keep keep keep keep
 extract: S3FD - Convert to re-enable CPU 
plugins/extract/detect/s3fd.py