argmax() and argmin() functions can be used to find the maximum and minimum elements in a given tensor, respectively. These functions are similar to Numpy's argmax() and argmin().
Here is an example:
>>> import torch>>> a=torch.randn(10)>>> atensor([ 1.0062, 1.0328, 0.1764, -0.5594, -0.0861, 0.4747, 0.1676, 1.7200, -2.5906, -0.6808])>>> torch.argmax(a)tensor(7)>>> torch.argmin(a)tensor(8)