From 221fd73d1870dfc8b71f4a834a651234c14d904a Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 02 三月 2023 20:27:14 +0800
Subject: [PATCH] torchscripts
---
/dev/null | 6 ---
funasr/runtime/python/libtorch/torch_paraformer/utils/timestamp_utils.py | 58 +++++++++++++++++++++++++++++
funasr/runtime/python/libtorch/torch_paraformer/paraformer_bin.py | 2
3 files changed, 59 insertions(+), 7 deletions(-)
diff --git a/funasr/runtime/python/libtorch/torch_paraformer/paraformer_bin.py b/funasr/runtime/python/libtorch/torch_paraformer/paraformer_bin.py
index 159e394..e6b33d4 100644
--- a/funasr/runtime/python/libtorch/torch_paraformer/paraformer_bin.py
+++ b/funasr/runtime/python/libtorch/torch_paraformer/paraformer_bin.py
@@ -12,7 +12,7 @@
read_yaml)
from .utils.postprocess_utils import sentence_postprocess
from .utils.frontend import WavFrontend
-from funasr.utils.timestamp_tools import time_stamp_lfr6_pl
+from .utils.timestamp_utils import time_stamp_lfr6_onnx
logging = get_logger()
import torch
diff --git a/funasr/runtime/python/libtorch/torch_paraformer/utils/timestamp_utils.py b/funasr/runtime/python/libtorch/torch_paraformer/utils/timestamp_utils.py
new file mode 100644
index 0000000..767e864
--- /dev/null
+++ b/funasr/runtime/python/libtorch/torch_paraformer/utils/timestamp_utils.py
@@ -0,0 +1,58 @@
+import numpy as np
+
+
+def time_stamp_lfr6_onnx(us_cif_peak, char_list, begin_time=0.0):
+ if not len(char_list):
+ return []
+ START_END_THRESHOLD = 5
+ MAX_TOKEN_DURATION = 14
+ TIME_RATE = 10.0 * 6 / 1000 / 3 # 3 times upsampled
+ cif_peak = us_cif_peak.reshape(-1)
+ num_frames = cif_peak.shape[-1]
+ if char_list[-1] == '</s>':
+ char_list = char_list[:-1]
+ # char_list = [i for i in text]
+ timestamp_list = []
+ new_char_list = []
+ # for bicif model trained with large data, cif2 actually fires when a character starts
+ # so treat the frames between two peaks as the duration of the former token
+ fire_place = np.where(cif_peak>1.0-1e-4)[0] - 1.5 # np format
+ num_peak = len(fire_place)
+ assert num_peak == len(char_list) + 1 # number of peaks is supposed to be number of tokens + 1
+ # begin silence
+ if fire_place[0] > START_END_THRESHOLD:
+ # char_list.insert(0, '<sil>')
+ timestamp_list.append([0.0, fire_place[0]*TIME_RATE])
+ new_char_list.append('<sil>')
+ # tokens timestamp
+ for i in range(len(fire_place)-1):
+ new_char_list.append(char_list[i])
+ if MAX_TOKEN_DURATION < 0 or fire_place[i+1] - fire_place[i] < MAX_TOKEN_DURATION:
+ timestamp_list.append([fire_place[i]*TIME_RATE, fire_place[i+1]*TIME_RATE])
+ else:
+ # cut the duration to token and sil of the 0-weight frames last long
+ _split = fire_place[i] + MAX_TOKEN_DURATION
+ timestamp_list.append([fire_place[i]*TIME_RATE, _split*TIME_RATE])
+ timestamp_list.append([_split*TIME_RATE, fire_place[i+1]*TIME_RATE])
+ new_char_list.append('<sil>')
+ # tail token and end silence
+ if num_frames - fire_place[-1] > START_END_THRESHOLD:
+ _end = (num_frames + fire_place[-1]) / 2
+ timestamp_list[-1][1] = _end*TIME_RATE
+ timestamp_list.append([_end*TIME_RATE, num_frames*TIME_RATE])
+ new_char_list.append("<sil>")
+ else:
+ timestamp_list[-1][1] = num_frames*TIME_RATE
+ if begin_time: # add offset time in model with vad
+ for i in range(len(timestamp_list)):
+ timestamp_list[i][0] = timestamp_list[i][0] + begin_time / 1000.0
+ timestamp_list[i][1] = timestamp_list[i][1] + begin_time / 1000.0
+ assert len(new_char_list) == len(timestamp_list)
+ res_total = []
+ for char, timestamp in zip(new_char_list, timestamp_list):
+ res_total.append([char, timestamp[0], timestamp[1]]) # += "{} {} {};".format(char, timestamp[0], timestamp[1])
+ res = []
+ for char, timestamp in zip(new_char_list, timestamp_list):
+ if char != '<sil>':
+ res.append([int(timestamp[0] * 1000), int(timestamp[1] * 1000)])
+ return res, res_total
\ No newline at end of file
diff --git a/funasr/runtime/python/onnxruntime/requirements.txt b/funasr/runtime/python/onnxruntime/requirements.txt
deleted file mode 100644
index aeb085a..0000000
--- a/funasr/runtime/python/onnxruntime/requirements.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-librosa
-numpy
-onnxruntime
-scipy
-typeguard
-kaldi-native-fbank
\ No newline at end of file
--
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