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/ sigsoftmax.py
Created
April 10, 2019 04:08
Pytorch implementation of sigsoftmax - https://arxiv.org/pdf/1805.10829.pdf
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| def logsigsoftmax(logits): | |
| """ | |
| Computes sigsoftmax from the paper - https://arxiv.org/pdf/1805.10829.pdf | |
| """ | |
| max_values = torch.max(logits, 1, keepdim = True)[0] | |
| exp_logits_sigmoided = torch.exp(logits - max_values) * torch.sigmoid(logits) | |
| sum_exp_logits_sigmoided = exp_logits_sigmoided.sum(1, keepdim = True) | |
| log_probs = logits - max_values + torch.log(torch.sigmoid(logits)) - torch.log(sum_exp_logits_sigmoided) | |
| return log_probs |