Referring to the example by @Ganga, I understand that during training,
the cross entropy loss is obtained and in that function softmax is also calculated before getting the loss.
However, during model inferencing, there is no explicit usage of softmax in the code but it output from model(input) gives probabilities?
How does the model give probabilities? Where is the softamx declared that when the model is called (for inferencing) softmax is executed on the logits?