From f97e0eb9eee3f14c410ce905b73d0c83033dc1c9 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期五, 28 四月 2023 15:17:38 +0800
Subject: [PATCH] update

---
 funasr/tasks/sv.py |   10 +++++-----
 1 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/funasr/tasks/sv.py b/funasr/tasks/sv.py
index 1b08c4d..d732e5a 100644
--- a/funasr/tasks/sv.py
+++ b/funasr/tasks/sv.py
@@ -45,7 +45,7 @@
 from funasr.models.specaug.specaug import SpecAug
 from funasr.tasks.abs_task import AbsTask
 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.types import float_or_none
@@ -90,7 +90,7 @@
     classes=dict(
         espnet=ESPnetSVModel,
     ),
-    type_check=AbsESPnetModel,
+    type_check=FunASRModel,
     default="espnet",
 )
 preencoder_choices = ClassChoices(
@@ -484,9 +484,9 @@
             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()
@@ -501,7 +501,7 @@
                 if ".bin" in model_name:
                     model_name_pth = os.path.join(model_dir, model_name.replace('.bin', '.pb'))
                 else:
-                    model_name_pth = os.path.join(model_dir, "{}.pth".format(model_name))
+                    model_name_pth = os.path.join(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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