torch.nn.functional fix

semscore.py

@@ -129,7 +129,7 @@ class SemScore(evaluate.Metric):
                 pooled_preds.append(batch_pooled_preds)
         pooled_refs, pooled_preds = torch.cat(pooled_refs), torch.cat(pooled_preds)
 
-        similarities = torch.nn.functional.F.cosine_similarity(pooled_refs, pooled_preds)
+        similarities = torch.nn.functional.cosine_similarity(pooled_refs, pooled_preds)
         similarities = similarities * 100
         semscore = torch.mean(similarities)