Update.
[culture.git] / mygpt.py
index ab4ccbc..809f790 100755 (executable)
--- a/mygpt.py
+++ b/mygpt.py
@@ -279,7 +279,7 @@ class MyGPT(nn.Module):
         self,
         input,
         ar_mask,
-        summed_logits,
+        seq_logproba,
         temperature=1.0,
         deterministic_synthesis=False,
         forbidden_tokens=None,
@@ -309,10 +309,10 @@ class MyGPT(nn.Module):
             else:
                 dist = torch.distributions.categorical.Categorical(logits=logits)
                 t_next = dist.sample()
-                if summed_logits is not None:
-                    summed_logits += logits[torch.arange(t_next.size(0)), t_next].sum(
-                        dim=-1
-                    )
+
+            if seq_logproba is not None:
+                all_t = torch.arange(t_next.size(0))
+                seq_logproba += logits[all_t, t_next].sum(dim=-1)
 
             input[:, s] = ar_mask[:, s] * t_next + (1 - ar_mask[:, s]) * input[:, s]