Calculate the sufficient statistics for the mean and variance of x
.
tf.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 :
|