Calculate the sufficient statistics for the mean and variance of x
.
tf.compat.v2.nn.sufficient_statistics( x, axes, shift=None, keepdims=False, name=None )
These sufficient statistics are computed using the one pass algorithm on an input that's optionally shifted. See: https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Computing_shifted_data
Args  

x  A Tensor . 
axes  Array of ints. Axes along which to compute mean and variance. 
shift  A Tensor containing the value by which to shift the data for numerical stability, or None if no shift is to be performed. A shift close to the true mean provides the most numerically stable results. 
keepdims  produce statistics with the same dimensionality as the input. 
name  Name used to scope the operations that compute the sufficient stats. 
Returns  

Four Tensor objects of the same type as x :

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Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/compat/v2/nn/sufficient_statistics