From 129cfcd9f283dea0d64f2e20b77662febc2d802c Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 23 三月 2023 10:01:32 +0800
Subject: [PATCH] cer tool
---
funasr/runtime/python/onnxruntime/rapid_paraformer/paraformer_onnx.py | 26 +++++++++++++++-----------
1 files changed, 15 insertions(+), 11 deletions(-)
diff --git a/funasr/runtime/python/onnxruntime/rapid_paraformer/paraformer_onnx.py b/funasr/runtime/python/onnxruntime/rapid_paraformer/paraformer_onnx.py
index 422cb67..5567940 100644
--- a/funasr/runtime/python/onnxruntime/rapid_paraformer/paraformer_onnx.py
+++ b/funasr/runtime/python/onnxruntime/rapid_paraformer/paraformer_onnx.py
@@ -27,6 +27,7 @@
plot_timestamp_to: str = "",
pred_bias: int = 1,
quantize: bool = False,
+ intra_op_num_threads: int = 4,
):
if not Path(model_dir).exists():
@@ -45,7 +46,7 @@
cmvn_file=cmvn_file,
**config['frontend_conf']
)
- self.ort_infer = OrtInferSession(model_file, device_id)
+ self.ort_infer = OrtInferSession(model_file, device_id, intra_op_num_threads=intra_op_num_threads)
self.batch_size = batch_size
self.plot_timestamp_to = plot_timestamp_to
self.pred_bias = pred_bias
@@ -63,25 +64,28 @@
am_scores, valid_token_lens = outputs[0], outputs[1]
if len(outputs) == 4:
# for BiCifParaformer Inference
- us_alphas, us_cif_peak = outputs[2], outputs[3]
+ us_alphas, us_peaks = outputs[2], outputs[3]
else:
- us_alphas, us_cif_peak = None, None
+ us_alphas, us_peaks = None, None
except ONNXRuntimeError:
#logging.warning(traceback.format_exc())
logging.warning("input wav is silence or noise")
preds = ['']
else:
preds = self.decode(am_scores, valid_token_lens)
- if us_cif_peak is None:
+ if us_peaks is None:
for pred in preds:
+ pred = sentence_postprocess(pred)
asr_res.append({'preds': pred})
else:
- for pred, us_cif_peak_ in zip(preds, us_cif_peak):
- text, tokens = pred
- timestamp, timestamp_total = time_stamp_lfr6_onnx(us_cif_peak_, copy.copy(tokens))
+ for pred, us_peaks_ in zip(preds, us_peaks):
+ raw_tokens = pred
+ timestamp, timestamp_raw = time_stamp_lfr6_onnx(us_peaks_, copy.copy(raw_tokens))
+ text_proc, timestamp_proc, _ = sentence_postprocess(raw_tokens, timestamp_raw)
+ # logging.warning(timestamp)
if len(self.plot_timestamp_to):
- self.plot_wave_timestamp(waveform_list[0], timestamp_total, self.plot_timestamp_to)
- asr_res.append({'preds': text, 'timestamp': timestamp})
+ self.plot_wave_timestamp(waveform_list[0], timestamp, self.plot_timestamp_to)
+ asr_res.append({'preds': text_proc, 'timestamp': timestamp_proc, "raw_tokens": raw_tokens})
return asr_res
def plot_wave_timestamp(self, wav, text_timestamp, dest):
@@ -180,6 +184,6 @@
# Change integer-ids to tokens
token = self.converter.ids2tokens(token_int)
token = token[:valid_token_num-self.pred_bias]
- texts = sentence_postprocess(token)
- return texts
+ # texts = sentence_postprocess(token)
+ return token
--
Gitblit v1.9.1