are reduced.
Keyword Arguments:
      * correction (int) --
    difference between the sample size and sample degrees of
    freedom. Defaults to Bessel's correction, "correction=1".

    Changed in version 2.0: Previously this argument was called
    "unbiased" and was a boolean with "True" corresponding to
    "correction=1" and "False" being "correction=0".

  * **keepdim** (*bool*) -- whether the output tensor has "dim"
    retained or not.

  * **out** (*Tensor**, **optional*) -- the output tensor.

-[ Example ]-



a = torch.tensor(
   ...     [[ 0.2035,  1.2959,  1.8101, -0.4644],
   ...      [ 1.5027, -0.3270,  0.5905,  0.6538],
   ...      [-1.5745,  1.3330, -0.5596, -0.6548],
   ...      [ 0.1264, -0.5080,  1.6420,  0.1992]])
torch.var(a, dim=1, keepdim=True)
   tensor([[1.0631],
           [0.5590],
           [1.4893],
           [0.8258]])


