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fix a bug, which has the little probability of producing nan in the loss #111

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fix a bug, which has the little probability of producing nan in the loss #111

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2 changes: 1 addition & 1 deletion losses.py
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Expand Up @@ -86,7 +86,7 @@ def forward(self, features, labels=None, mask=None):

# compute log_prob
exp_logits = torch.exp(logits) * logits_mask
log_prob = logits - torch.log(exp_logits.sum(1, keepdim=True))
log_prob = logits - torch.log(exp_logits.sum(1, keepdim=True) + 1e-6) # prevent computing log(0), which will produce Nan in the loss

# compute mean of log-likelihood over positive
mean_log_prob_pos = (mask * log_prob).sum(1) / mask.sum(1)
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