use the multiple configure file for training

fairseq/models/speech_to_text/s2t_transformer.py

@@ -435,7 +435,7 @@ class S2TTransformerEncoder(FairseqEncoder):
             self.history = None
             self.history = None
 
 
         self.use_ctc = "sate" in args.arch or \
         self.use_ctc = "sate" in args.arch or \
-                       (("ctc" in getattr(args, "criterion", False)) and \
+                       (("ctc" in getattr(args, "criterion", False)) and
                         (getattr(args, "ctc_weight", False) > 0))
                         (getattr(args, "ctc_weight", False) > 0))
         if self.use_ctc:
         if self.use_ctc:
             if task.source_dictionary == task.target_dictionary and getattr(args, "share_all_embeddings", False):
             if task.source_dictionary == task.target_dictionary and getattr(args, "share_all_embeddings", False):

fairseq/options.py

@@ -106,6 +106,16 @@ def parse_args_and_arch(
         is_config_file=True,
         is_config_file=True,
         help="Configuration YAML filename (for training)",
         help="Configuration YAML filename (for training)",
     )
     )
+    parser.add_argument(
+        "--train-config3",
+        is_config_file=True,
+        help="Configuration YAML filename (for training)",
+    )
+    parser.add_argument(
+        "--train-config4",
+        is_config_file=True,
+        help="Configuration YAML filename (for training)",
+    )
 
 
     if suppress_defaults:
     if suppress_defaults:
         # Parse args without any default values. This requires us to parse
         # Parse args without any default values. This requires us to parse