parameters: (inputs, gamma, beta, mean, var, **kwargs)
return_statement: return ops.BN([inputs, mean, var, gamma, beta])
docstring: Batch Normalization, introduced by `[Ioffe & Szegedy, 2015] <https://arxiv.org/abs/1502.03167>`_
  
      Parameters
      ----------
      inputs : Tensor
          The input tensor.
      gamma: Tensor
          The scale parameter.
      beta: Tensor
          The shift parameter.
      mean: Tensor
          The moving average of mean.
      var: Tensor
          The moving average of variance.
  
      Returns
      -------
      Tensor
          The output tensor.
docstring_summary: Batch Normalization, introduced by `[Ioffe & Szegedy, 2015] <https://arxiv.org/abs/1502.03167>`_
docstring_tokens: Batch Normalization introduced by [ Ioffe & Szegedy 2015 ] <https : // arxiv . org / abs / 1502 . 03167 > _
function: def batch_normalization(inputs, gamma, beta, mean, var, **kwargs):
      """Batch Normalization, introduced by `[Ioffe & Szegedy, 2015] <https://arxiv.org/abs/1502.03167>`_
  
      Parameters
      ----------
      inputs : Tensor
          The input tensor.
      gamma: Tensor
          The scale parameter.
      beta: Tensor
          The shift parameter.
      mean: Tensor
          The moving average of mean.
      var: Tensor
          The moving average of variance.
  
      Returns
      -------
      Tensor
          The output tensor.
  
      """
      return ops.BN([inputs, mean, var, gamma, beta])
function_tokens: def batch_normalization ( inputs , gamma , beta , mean , var , * * kwargs ) : return ops . BN ( [ inputs , mean , var , gamma , beta ] )