【Hackathon 7th】Remove parser.add_argument

examples/aishell/asr0/README.md

@@ -178,7 +178,7 @@ This stage is to transform dygraph to static graph.
 If you already have a dynamic graph model, you can run this script:
 ```bash
 source path.sh
-./local/export.sh deepspeech2.yaml exp/deepspeech2/checkpoints/avg_1 exp/deepspeech2/checkpoints/avg_1.jit offline
+./local/export.sh conf/deepspeech2.yaml exp/deepspeech2/checkpoints/avg_1 exp/deepspeech2/checkpoints/avg_1.jit
 ```
 ## Stage 5: Static graph Model Testing
 Similar to stage 3, the static graph model can also be tested.
@@ -190,7 +190,7 @@ Similar to stage 3, the static graph model can also be tested.
 ```
 If you already have exported the static graph, you can run this script:
 ```bash
-CUDA_VISIBLE_DEVICES= ./local/test_export.sh conf/deepspeech2.yaml exp/deepspeech2/checkpoints/avg_1.jit offline
+CUDA_VISIBLE_DEVICES= ./local/test_export.sh conf/deepspeech2.yaml conf/tuning/decode.yaml exp/deepspeech2/checkpoints/avg_1.jit
 ```
 ## Stage 6: Single Audio File Inference
 In some situations, you want to use the trained model to do the inference for the single audio file. You can use stage  5. The code is shown below

paddlespeech/s2t/exps/deepspeech2/bin/export.py

@@ -32,9 +32,6 @@ def main(config, args):
 
 if __name__ == "__main__":
     parser = default_argument_parser()
-    # save jit model to
-    parser.add_argument(
-        "--export_path", type=str, help="path of the jit model to save")
     args = parser.parse_args()
     print_arguments(args)
 

paddlespeech/s2t/exps/deepspeech2/bin/test_export.py

@@ -32,12 +32,6 @@ def main(config, args):
 
 if __name__ == "__main__":
     parser = default_argument_parser()
-    # save asr result to
-    parser.add_argument(
-        "--result_file", type=str, help="path of save the asr result")
-    #load jit model from
-    parser.add_argument(
-        "--export_path", type=str, help="path of the jit model to save")
     parser.add_argument(
         "--enable-auto-log", action="store_true", help="use auto log")
     args = parser.parse_args()

paddlespeech/s2t/exps/deepspeech2/bin/test_wav.py

@@ -171,10 +171,6 @@ def main(config, args):
 
 if __name__ == "__main__":
     parser = default_argument_parser()
-    parser.add_argument("--audio_file", type=str, help='audio file path')
-    # save asr result to
-    parser.add_argument(
-        "--result_file", type=str, help="path of save the asr result")
     args = parser.parse_args()
     print_arguments(args, globals())
     if not os.path.isfile(args.audio_file):

paddlespeech/s2t/exps/deepspeech2/model.py

@@ -335,7 +335,10 @@ def export(self):
             self.test_loader, self.config, self.args.checkpoint_path)
         infer_model.eval()
         static_model = infer_model.export()
-        logger.info(f"Export code: {static_model.forward.code}")
+        try:
+            logger.info(f"Export code: {static_model.forward.code}")
+        except:
+            logger.info(f"Fail to print Export code, static_model.forward.code can not be run.")
         paddle.jit.save(static_model, self.args.export_path)