From bc57005507aad83ed7c092e3a3ea8e994451d105 Mon Sep 17 00:00:00 2001
From: shixian.shi <shixian.shi@alibaba-inc.com>
Date: 星期四, 04 五月 2023 19:36:23 +0800
Subject: [PATCH] update
---
funasr/bin/build_trainer.py | 10 ++++++++--
1 files changed, 8 insertions(+), 2 deletions(-)
diff --git a/funasr/bin/build_trainer.py b/funasr/bin/build_trainer.py
index bb1d7a7..df921fa 100644
--- a/funasr/bin/build_trainer.py
+++ b/funasr/bin/build_trainer.py
@@ -27,6 +27,10 @@
from funasr.tasks.asr import ASRTaskParaformer as ASRTask
elif mode == "uniasr":
from funasr.tasks.asr import ASRTaskUniASR as ASRTask
+ elif mode == "mfcca":
+ from funasr.tasks.asr import ASRTaskMFCCA as ASRTask
+ elif mode == "tp":
+ from funasr.tasks.asr import ASRTaskAligner as ASRTask
else:
raise ValueError("Unknown mode: {}".format(mode))
parser = ASRTask.get_parser()
@@ -79,7 +83,8 @@
finetune_configs = yaml.safe_load(f)
# set data_types
if dataset_type == "large":
- finetune_configs["dataset_conf"]["data_types"] = "sound,text"
+ if 'data_types' not in finetune_configs['dataset_conf']:
+ finetune_configs["dataset_conf"]["data_types"] = "sound,text"
finetune_configs = update_dct(configs, finetune_configs)
for key, value in finetune_configs.items():
if hasattr(args, key):
@@ -127,7 +132,8 @@
if args.dataset_type == "small":
args.batch_bins = batch_bins
elif args.dataset_type == "large":
- args.dataset_conf["batch_conf"]["batch_size"] = batch_bins
+ # args.dataset_conf["batch_conf"]["batch_size"] = batch_bins
+ pass
else:
raise ValueError(f"Not supported dataset_type={args.dataset_type}")
if args.normalize in ["null", "none", "None"]:
--
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