From 0a4e01bd7d789504cc5986fa848e5822bef4dfc9 Mon Sep 17 00:00:00 2001
From: 语帆 <yf352572@alibaba-inc.com>
Date: 星期三, 28 二月 2024 17:18:23 +0800
Subject: [PATCH] atsr
---
funasr/auto/auto_model.py | 9 +++------
1 files changed, 3 insertions(+), 6 deletions(-)
diff --git a/funasr/auto/auto_model.py b/funasr/auto/auto_model.py
index e6e08b8..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"
@@ -161,19 +161,18 @@
vocab_size = len(tokenizer.token_list)
else:
vocab_size = -1
- pdb.set_trace()
# build frontend
frontend = kwargs.get("frontend", None)
+
if frontend is not None:
frontend_class = tables.frontend_classes.get(frontend)
frontend = frontend_class(**kwargs["frontend_conf"])
kwargs["frontend"] = frontend
kwargs["input_size"] = frontend.output_size()
- pdb.set_trace()
+
# build model
model_class = tables.model_classes.get(kwargs["model"])
model = model_class(**kwargs, **kwargs["model_conf"], vocab_size=vocab_size)
-
model.to(device)
# init_param
@@ -235,11 +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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