(self, in_obj)
return self
Sets shape based parameters of this layer given an input tuple or int
        or input layer.

        Arguments:
            in_obj (int, tuple, Layer or Tensor): object that provides shape
                                                  information for layer

        Returns:
            (tuple): shape of output data
Sets shape based parameters of this layer given an input tuple or int
        or input layer.
Sets shape based parameters of this layer given an input tuple or int or input layer .
def configure(self, in_obj):
        """
        Sets shape based parameters of this layer given an input tuple or int
        or input layer.

        Arguments:
            in_obj (int, tuple, Layer or Tensor): object that provides shape
                                                  information for layer

        Returns:
            (tuple): shape of output data
        """
        super(Dropout, self).configure(in_obj)
        self.out_shape = self.in_shape
        (self.nout, _) = interpret_in_shape(self.in_shape)
        return self
def configure ( self , in_obj ) : super ( Dropout , self ) . configure ( in_obj ) self . out_shape = self . in_shape ( self . nout , _ ) = interpret_in_shape ( self . in_shape ) return self