oneflow.std¶
-
oneflow.
std
()¶ Returns the standard-deviation of each row of the
input
tensor in the dimensiondim
. Ifdim
is a list of dimensions, reduce over all of them.If keepdim is True, the output tensor is of the same size as input except in the dimension(s) dim where it is of size 1. Otherwise, dim is squeezed, resulting in the output tensor having 1 (or len(dim)) fewer dimension(s).
If
unbiased
isFalse
, then the standard-deviation will be calculated via the biased estimator. Otherwise, Bessel’s correction will be used.- Parameters
input (Tensor) – the input tensor.
dim (int or tuple of ints) – the dimension or dimensions to reduce.
unbiased (bool) – whether to use the unbiased estimation or not
keepdim (bool) – whether the output tensor has dim retained or not.
For example:
>>> import oneflow as flow >>> import numpy as np >>> arr = np.array([1.0, 2.0, 3.0]) >>> input = flow.tensor(arr) >>> output = flow.std(input, dim=0).numpy() >>> output array(1.)