pyspark/bigdl/nn/layer.py
def set_running_mean(self, running_mean):
        """
        Set the running mean of the layer.
        Only use this method for a BatchNormalization layer.
        :param running_mean: a Numpy array.
        """
        callBigDlFunc(self.bigdl_type, "setRunningMean",
                      self.value, JTensor.from_ndarray(running_mean))
        return self
def set_running_mean(self, running_mean):
        """
        Set the running mean of the layer.
        Only use this method for a BatchNormalization layer.
        :param running_mean: a Numpy array.
        """
        callBigDlFunc(self.bigdl_type, "setRunningMean",
                      self.value, JTensor.from_ndarray(running_mean))
        return self
def set_running_mean ( self , running_mean ) : callBigDlFunc ( self . bigdl_type , "setRunningMean" , self . value , JTensor . from_ndarray ( running_mean ) ) return self
Set the running mean of the layer.
        Only use this method for a BatchNormalization layer.
        :param running_mean: a Numpy array.
Set the running mean of the layer . Only use this method for a BatchNormalization layer . : param running_mean : a Numpy array .