About max_val

[thbupt]

For stability, you compute the max_val = torch.max((exp_term_tmp).clamp(min=0), dim=1, keepdim=True)[0], which means you compute the max value for the first sample(max_val has size 1 because of [0] operation). But I think max value should be computed for each sample seperately without [0] operation, then the max_val has size of N*1. Is it right?

[sandonair007]

The size of max_val is actually N*1, within the [0] operation. Because

torch.max(input, dim, keepdim=False, out=None) -> (Tensor, LongTensor)
Returns the maximum value of each row of the input tensor in the given dimension dim. The second return value is the index location of each maximum value found (argmax).

Link: https://pytorch.org/docs/stable/torch.html?highlight=max#torch.max

[danieltan07]

@thbupt sorry for the late reply. @muchuanyun is correct. torch.max returns a tuple where the first element are the max values and the second element are the indices.