From d238a5ab4450aad636bbbc60d67335ca59b3bd9c Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 30 七月 2024 17:45:13 +0800
Subject: [PATCH] dcos
---
funasr/auto/auto_model.py | 39 ++++++++++++++++++++++++++-------------
1 files changed, 26 insertions(+), 13 deletions(-)
diff --git a/funasr/auto/auto_model.py b/funasr/auto/auto_model.py
index 01e6aaf..f735f18 100644
--- a/funasr/auto/auto_model.py
+++ b/funasr/auto/auto_model.py
@@ -20,7 +20,7 @@
from funasr.download.file import download_from_url
from funasr.utils.timestamp_tools import timestamp_sentence
from funasr.utils.timestamp_tools import timestamp_sentence_en
-from funasr.download.download_from_hub import download_model
+from funasr.download.download_model_from_hub import download_model
from funasr.utils.vad_utils import slice_padding_audio_samples
from funasr.utils.vad_utils import merge_vad
from funasr.utils.load_utils import load_audio_text_image_video
@@ -114,15 +114,15 @@
try:
from funasr.utils.version_checker import check_for_update
- check_for_update()
+ print(
+ "Check update of funasr, and it would cost few times. You may disable it by set `disable_update=True` in AutoModel"
+ )
+ check_for_update(disable=kwargs.get("disable_update", False))
except:
pass
log_level = getattr(logging, kwargs.get("log_level", "INFO").upper())
logging.basicConfig(level=log_level)
-
- if not kwargs.get("disable_log", True):
- tables.print()
model, kwargs = self.build_model(**kwargs)
@@ -171,7 +171,8 @@
self.spk_kwargs = spk_kwargs
self.model_path = kwargs.get("model_path")
- def build_model(self, **kwargs):
+ @staticmethod
+ def build_model(**kwargs):
assert "model" in kwargs
if "model_conf" not in kwargs:
logging.info("download models from model hub: {}".format(kwargs.get("hub", "ms")))
@@ -217,6 +218,7 @@
kwargs["frontend"] = frontend
# build model
model_class = tables.model_classes.get(kwargs["model"])
+ assert model_class is not None, f'{kwargs["model"]} is not registered'
model_conf = {}
deep_update(model_conf, kwargs.get("model_conf", {}))
deep_update(model_conf, kwargs)
@@ -244,6 +246,10 @@
elif kwargs.get("bf16", False):
model.to(torch.bfloat16)
model.to(device)
+
+ if not kwargs.get("disable_log", True):
+ tables.print()
+
return model, kwargs
def __call__(self, *args, **cfg):
@@ -261,6 +267,8 @@
def inference(self, input, input_len=None, model=None, kwargs=None, key=None, **cfg):
kwargs = self.kwargs if kwargs is None else kwargs
+ if "cache" in kwargs:
+ kwargs.pop("cache")
deep_update(kwargs, cfg)
model = self.model if model is None else model
model.eval()
@@ -312,7 +320,7 @@
speed_stats["rtf"] = f"{(time_escape) / batch_data_time:0.3f}"
description = f"{speed_stats}, "
if pbar:
- pbar.update(1)
+ pbar.update(end_idx - beg_idx)
pbar.set_description(description)
time_speech_total += batch_data_time
time_escape_total += time_escape
@@ -334,9 +342,11 @@
end_vad = time.time()
# FIX(gcf): concat the vad clips for sense vocie model for better aed
- if kwargs.get("merge_vad", False):
+ if cfg.get("merge_vad", False):
for i in range(len(res)):
- res[i]["value"] = merge_vad(res[i]["value"], kwargs.get("merge_length", 15000))
+ res[i]["value"] = merge_vad(
+ res[i]["value"], kwargs.get("merge_length_s", 15) * 1000
+ )
# step.2 compute asr model
model = self.model
@@ -376,6 +386,9 @@
if len(sorted_data) > 0 and len(sorted_data[0]) > 0:
batch_size = max(batch_size, sorted_data[0][0][1] - sorted_data[0][0][0])
+
+ if kwargs["device"] == "cpu":
+ batch_size = 0
beg_idx = 0
beg_asr_total = time.time()
@@ -503,8 +516,8 @@
sv_output = postprocess(all_segments, None, labels, spk_embedding.cpu())
if self.spk_mode == "vad_segment": # recover sentence_list
sentence_list = []
- for res, vadsegment in zip(restored_data, vadsegments):
- if "timestamp" not in res:
+ for rest, vadsegment in zip(restored_data, vadsegments):
+ if "timestamp" not in rest:
logging.error(
"Only 'iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch' \
and 'iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch'\
@@ -514,8 +527,8 @@
{
"start": vadsegment[0],
"end": vadsegment[1],
- "sentence": res["text"],
- "timestamp": res["timestamp"],
+ "sentence": rest["text"],
+ "timestamp": rest["timestamp"],
}
)
elif self.spk_mode == "punc_segment":
--
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