Returns the standard-deviation of each row of the
inputtensor in the dimension
dimis 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).
False, then the standard-deviation will be calculated via the biased estimator. Otherwise, Bessel’s correction will be used.
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.
>>> 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.)