Hello all, I have an n*m tensor with float values on which I would like to perform a row-wise one-hot operation, that is every row should be a one hot vector.
What’s the most efficient way to accomplish this?
I’ve been doing:

 _, indices = torch.max(my_matrix, 1)
binary_out = torch.nn.functional.one_hot(indices, num_classes=nclasses)