def set_running_std(self, running_std):
        """
        Set the running variance of the layer.
        Only use this method for a BatchNormalization layer.
        :param running_std: a Numpy array.
        """
        callBigDlFunc(self.bigdl_type, "setRunningStd",
                      self.value, JTensor.from_ndarray(running_std))
        return self
def set_running_std(self, running_std):
        """
        Set the running variance of the layer.
        Only use this method for a BatchNormalization layer.
        :param running_std: a Numpy array.
        """
        callBigDlFunc(self.bigdl_type, "setRunningStd",
                      self.value, JTensor.from_ndarray(running_std))
        return self
def set_running_std ( self , running_std ) : callBigDlFunc ( self . bigdl_type , "setRunningStd" , self . value , JTensor . from_ndarray ( running_std ) ) return self
Set the running variance of the layer.
        Only use this method for a BatchNormalization layer.
        :param running_std: a Numpy array.
Set the running variance of the layer . Only use this method for a BatchNormalization layer . : param running_std : a Numpy array .