min(), max(), argmin() and argmax() in PyTorch

*My post explains sum() and mean().

min() can get the minimum value as shown below:

*Memos:

• 
  min() can be called both from torch and a tensor.


• Setting a dimension to the 2nd argument with torch or the 1st argument with a tensor gets zero or more 1st minimum values and the indices of them.
  

import torch

my_tensor = torch.tensor([[5, 4, 7, 7],
                          [6, 5, 3, 5],
                          [3, 8, 9, 3]])
torch.min(my_tensor)
my_tensor.min()
# tensor(3)

torch.min(my_tensor, 0)
my_tensor.min(0)
torch.min(my_tensor, …

argmin max mean memos min pytorch sum tensor torch value values