From 6482fb94a5f84f98967d3274792772b0a0ab87a2 Mon Sep 17 00:00:00 2001
From: shixian.shi <shixian.shi@alibaba-inc.com>
Date: 星期四, 04 五月 2023 19:41:53 +0800
Subject: [PATCH] update
---
funasr/bin/build_trainer.py | 9 +++++++--
1 files changed, 7 insertions(+), 2 deletions(-)
diff --git a/funasr/bin/build_trainer.py b/funasr/bin/build_trainer.py
index bb1d7a7..cfe65a1 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):
@@ -126,7 +131,7 @@
if batch_bins is not None:
if args.dataset_type == "small":
args.batch_bins = batch_bins
- elif args.dataset_type == "large":
+ elif args.dataset_type == "large" and "batch_size" not in args.dataset_conf["batch_conf"]:
args.dataset_conf["batch_conf"]["batch_size"] = batch_bins
else:
raise ValueError(f"Not supported dataset_type={args.dataset_type}")
--
Gitblit v1.9.1