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/asr.py | 18 ++++++------------
1 files changed, 6 insertions(+), 12 deletions(-)
diff --git a/funasr/tasks/asr.py b/funasr/tasks/asr.py
index 6e0f16a..6d93032 100644
--- a/funasr/tasks/asr.py
+++ b/funasr/tasks/asr.py
@@ -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
@@ -127,7 +127,7 @@
mfcca=MFCCA,
timestamp_prediction=TimestampPredictor,
),
- type_check=AbsESPnetModel,
+ type_check=FunASRModel,
default="asr",
)
preencoder_choices = ClassChoices(
@@ -411,12 +411,6 @@
type=str,
default="13_15",
help="The range of noise decibel level.",
- )
- parser.add_argument(
- "--batch_interval",
- type=int,
- default=10000,
- help="The batch interval for saving model.",
)
for class_choices in cls.class_choices_list:
@@ -816,9 +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()
@@ -1063,9 +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()
--
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