From d12d18886cf5d1c7daaf74bd348cf3ca7b2c8b7b Mon Sep 17 00:00:00 2001
From: 语帆 <yf352572@alibaba-inc.com>
Date: 星期四, 29 二月 2024 16:20:18 +0800
Subject: [PATCH] test
---
funasr/auto/auto_model.py | 7 +------
1 files changed, 1 insertions(+), 6 deletions(-)
diff --git a/funasr/auto/auto_model.py b/funasr/auto/auto_model.py
index 23b80d7..3f99e4d 100644
--- a/funasr/auto/auto_model.py
+++ b/funasr/auto/auto_model.py
@@ -141,7 +141,7 @@
kwargs = download_model(**kwargs)
set_all_random_seed(kwargs.get("seed", 0))
-
+
device = kwargs.get("device", "cuda")
if not torch.cuda.is_available() or kwargs.get("ngpu", 1) == 0:
device = "cpu"
@@ -172,14 +172,11 @@
# build model
model_class = tables.model_classes.get(kwargs["model"])
- pdb.set_trace()
model = model_class(**kwargs, **kwargs["model_conf"], vocab_size=vocab_size)
- pdb.set_trace()
model.to(device)
# init_param
init_param = kwargs.get("init_param", None)
- pdb.set_trace()
if init_param is not None:
logging.info(f"Loading pretrained params from {init_param}")
load_pretrained_model(
@@ -237,11 +234,9 @@
time1 = time.perf_counter()
with torch.no_grad():
- pdb.set_trace()
results, meta_data = model.inference(**batch, **kwargs)
time2 = time.perf_counter()
- pdb.set_trace()
asr_result_list.extend(results)
# batch_data_time = time_per_frame_s * data_batch_i["speech_lengths"].sum().item()
--
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