From 65f9d10fdbb65f5a2a85e933906e9d63d1826ed4 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期三, 10 五月 2023 19:32:52 +0800
Subject: [PATCH] update repo

---
 funasr/tasks/asr.py |   22 +++++++++++-----------
 1 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/funasr/tasks/asr.py b/funasr/tasks/asr.py
index 36499a2..8c8c57e 100644
--- a/funasr/tasks/asr.py
+++ b/funasr/tasks/asr.py
@@ -38,7 +38,7 @@
 from funasr.models.decoder.transformer_decoder import ParaformerDecoderSAN
 from funasr.models.decoder.transformer_decoder import TransformerDecoder
 from funasr.models.decoder.contextual_decoder import ContextualParaformerDecoder
-from funasr.models.e2e_asr import ESPnetASRModel
+from funasr.models.e2e_asr import ASRModel
 from funasr.models.e2e_asr_paraformer import Paraformer, ParaformerBert, BiCifParaformer, ContextualParaformer
 from funasr.models.e2e_tp import TimestampPredictor
 from funasr.models.e2e_asr_mfcca import MFCCA
@@ -72,7 +72,7 @@
 from funasr.tasks.abs_task import AbsTask
 from funasr.text.phoneme_tokenizer import g2p_choices
 from funasr.torch_utils.initialize import initialize
-from funasr.train.abs_espnet_model import AbsESPnetModel
+from funasr.models.base_model import FunASRModel
 from funasr.train.class_choices import ClassChoices
 from funasr.train.trainer import Trainer
 from funasr.utils.get_default_kwargs import get_default_kwargs
@@ -118,7 +118,7 @@
 model_choices = ClassChoices(
     "model",
     classes=dict(
-        asr=ESPnetASRModel,
+        asr=ASRModel,
         uniasr=UniASR,
         paraformer=Paraformer,
         paraformer_bert=ParaformerBert,
@@ -127,7 +127,7 @@
         mfcca=MFCCA,
         timestamp_prediction=TimestampPredictor,
     ),
-    type_check=AbsESPnetModel,
+    type_check=FunASRModel,
     default="asr",
 )
 preencoder_choices = ClassChoices(
@@ -440,7 +440,7 @@
                 token_type=args.token_type,
                 token_list=args.token_list,
                 bpemodel=args.bpemodel,
-                non_linguistic_symbols=args.non_linguistic_symbols,
+                non_linguistic_symbols=args.non_linguistic_symbols if hasattr(args, "non_linguistic_symbols") else None,
                 text_cleaner=args.cleaner,
                 g2p_type=args.g2p,
                 split_with_space=args.split_with_space if hasattr(args, "split_with_space") else False,
@@ -810,9 +810,9 @@
             args["cmvn_file"] = cmvn_file
         args = argparse.Namespace(**args)
         model = cls.build_model(args)
-        if not isinstance(model, AbsESPnetModel):
+        if not isinstance(model, FunASRModel):
             raise RuntimeError(
-                f"model must inherit {AbsESPnetModel.__name__}, but got {type(model)}"
+                f"model must inherit {FunASRModel.__name__}, but got {type(model)}"
             )
         model.to(device)
         model_dict = dict()
@@ -826,7 +826,7 @@
             if "model.ckpt-" in model_name or ".bin" in model_name:
                 model_name_pth = os.path.join(model_dir, model_name.replace('.bin',
                                                                             '.pb')) if ".bin" in model_name else os.path.join(
-                    model_dir, "{}.pth".format(model_name))
+                    model_dir, "{}.pb".format(model_name))
                 if os.path.exists(model_name_pth):
                     logging.info("model_file is load from pth: {}".format(model_name_pth))
                     model_dict = torch.load(model_name_pth, map_location=device)
@@ -1057,9 +1057,9 @@
             args["cmvn_file"] = cmvn_file
         args = argparse.Namespace(**args)
         model = cls.build_model(args)
-        if not isinstance(model, AbsESPnetModel):
+        if not isinstance(model, FunASRModel):
             raise RuntimeError(
-                f"model must inherit {AbsESPnetModel.__name__}, but got {type(model)}"
+                f"model must inherit {FunASRModel.__name__}, but got {type(model)}"
             )
         model.to(device)
         model_dict = dict()
@@ -1073,7 +1073,7 @@
             if "model.ckpt-" in model_name or ".bin" in model_name:
                 model_name_pth = os.path.join(model_dir, model_name.replace('.bin',
                                                                             '.pb')) if ".bin" in model_name else os.path.join(
-                    model_dir, "{}.pth".format(model_name))
+                    model_dir, "{}.pb".format(model_name))
                 if os.path.exists(model_name_pth):
                     logging.info("model_file is load from pth: {}".format(model_name_pth))
                     model_dict = torch.load(model_name_pth, map_location=device)

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