修复BertEmbedding的weight

fastNLP/embeddings/embedding.py

@@ -41,9 +41,9 @@ class Embedding(nn.Module):
         
         self.dropout = nn.Dropout(dropout)
         if not isinstance(self.embed, TokenEmbedding):
-            if hasattr(self, 'embed_size'):
+            if hasattr(self.embed, 'embed_size'):
                 self._embed_size = self.embed.embed_size
-            elif hasattr(self, 'embedding_dim'):
+            elif hasattr(self.embed, 'embedding_dim'):
                 self._embed_size = self.embed.embedding_dim
             else:
                 self._embed_size = self.embed.weight.size(1)