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 :
- the count (number of elements to average over).
- the (possibly shifted) sum of the elements in the array.
- the (possibly shifted) sum of squares of the elements in the array.
- the shift by which the mean must be corrected or None if
shift is None.
|