class_docstr: Batch normalization layer.
  Normalize the activations of the previous layer at each batch, i.e. applies a transformation
  that maintains the mean activation close to 0 and the activation standard deviation close to 1.
  It is a feature-wise normalization, each feature map in the input will be normalized separately.
  The input of this layer should be 4D or 2D.
  
  When you use this layer as the first layer of a model, you need to provide the argument
  input_shape (a shape tuple, does not include the batch dimension).
  
  # Arguments
  epsilon: Small float > 0. Fuzz parameter. Default is 0.001.
  momentum: Float. Momentum in the computation of the exponential average of the mean and
            standard deviation of the data, for feature-wise normalization. Default is 0.99.
  beta_init: Name of the initialization function for shift parameter. Default is 'zero'.
  gamma_init: Name of the initialization function for scale parameter. Default is 'one'.
  dim_ordering: Format of input data. Either 'th' (Channel First) or 'tf' (Channel Last).
                Default is 'th'. For 'th', axis along which to normalize is 1.
                For 'tf', axis is 3.
  input_shape: A shape tuple, not including batch.
  name: String to set the name of the layer.
        If not specified, its name will by default to be a generated string.
  
  >>> batchnormalization = BatchNormalization(input_shape=(3, 12, 12), name="bn1")
  creating: createZooKerasBatchNormalization
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docstr: Set the running mean of the BatchNormalization layer.
  :param running_mean: a Numpy array.
docstr_tok: ["Set","the","running","mean","of","the","BatchNormalization","layer",".",":","param","running_mean",":","a","Numpy","array","."]
code: def set_running_mean(self, running_mean):
      """
      Set the running mean of the BatchNormalization layer.
      :param running_mean: a Numpy array.
      """
      callZooFunc(
          self.bigdl_type,
          "setRunningMean",
          self.value,
          JTensor.from_ndarray(running_mean),
      )
      return self
  
file_path: BigDL/python/dllib/src/bigdl/dllib/keras/layers/normalization.py
imports: import sys
  from ..engine.topology import ZooKerasLayer
  from bigdl.dllib.utils.common import JTensor
  from bigdl.dllib.utils.file_utils import callZooFunc
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 2 for calling the BatchNormalization obj's underlying member method code with example usage: obj.set_running_mean(running_mean) and returns: self