, 3., 4.])
>>> exp
tensor([ 1., 2., 3., 4.])
>>> torch.pow(a, exp)
tensor([ 1., 4., 27.,...Example:
>>> exp = torch.arange(1., 5.)
>>> base = 2
>>> torch.pow(base, exp)
tensor([ 2., 4., 8...And indices is the index location of each median value found....And indices is the index location of each element found....(3))
>>> x=torch.arange(1.,7.).resize_(2,3)
>>> x
tensor([[ 1., 2., 3.],
[ 4., 5., 6.]])