Test effect of loss clamp.

climax/core/loss.py

@@ -139,8 +139,7 @@ class BernoulliWeibullLoss(BernoulliLoss):
         # clip shape to (0, 10)
         # NOTE: in general shape in (0, +infinity), clipping is required for
         #       numerical stability
-        shape = torch.clamp(
-            torch.exp(y_pred[:, 1, ...].squeeze()[mask][~mask_p]), max=10)
+        shape = torch.exp(y_pred[:, 1, ...].squeeze()[mask][~mask_p])
 
         # negative log-likelihood function of Bernoulli-Weibull distribution
         loss = torch.zeros_like(y_true)