TensorFlow 1 version View source on GitHub

Calculate the mean and variance of based on the sufficient statistics.

    counts, mean_ss, variance_ss, shift, name=None


  • counts: A Tensor containing the total count of the data (one value).
  • mean_ss: A Tensor containing the mean sufficient statistics: the (possibly shifted) sum of the elements to average over.
  • variance_ss: A Tensor containing the variance sufficient statistics: the (possibly shifted) squared sum of the data to compute the variance over.
  • shift: A Tensor containing the value by which the data is shifted for numerical stability, or None if no shift was performed.
  • name: Name used to scope the operations that compute the moments.


Two Tensor objects: mean and variance.