From 3dcaa9df2f056fefd87736f1cd1cd32679018ba9 Mon Sep 17 00:00:00 2001
From: zhaomingwork <zhaomingwork@qq.com>
Date: 星期六, 13 五月 2023 07:30:05 +0800
Subject: [PATCH] fix NoneType bug for ws_client.py microphone mode
---
funasr/bin/sa_asr_inference.py | 9 +--------
1 files changed, 1 insertions(+), 8 deletions(-)
diff --git a/funasr/bin/sa_asr_inference.py b/funasr/bin/sa_asr_inference.py
index ec575df..c894f54 100644
--- a/funasr/bin/sa_asr_inference.py
+++ b/funasr/bin/sa_asr_inference.py
@@ -89,7 +89,7 @@
frontend = None
if asr_train_args.frontend is not None and asr_train_args.frontend_conf is not None:
if asr_train_args.frontend=='wav_frontend':
- frontend = WavFrontend(cmvn_file=cmvn_file, **asr_train_args.frontend_conf).eval()
+ frontend = WavFrontend(cmvn_file=cmvn_file, **asr_train_args.frontend_conf)
else:
frontend_class=frontend_choices.get_class(asr_train_args.frontend)
frontend = frontend_class(**asr_train_args.frontend_conf).eval()
@@ -141,13 +141,6 @@
token_list=token_list,
pre_beam_score_key=None if ctc_weight == 1.0 else "full",
)
-
- beam_search.to(device=device, dtype=getattr(torch, dtype)).eval()
- for scorer in scorers.values():
- if isinstance(scorer, torch.nn.Module):
- scorer.to(device=device, dtype=getattr(torch, dtype)).eval()
- logging.info(f"Beam_search: {beam_search}")
- logging.info(f"Decoding device={device}, dtype={dtype}")
# 5. [Optional] Build Text converter: e.g. bpe-sym -> Text
if token_type is None:
--
Gitblit v1.9.1