From e63169bb06b123a908c39d720380d963ea34326f Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 05 一月 2024 16:46:42 +0800
Subject: [PATCH] prepare_data_iterator
---
funasr/bin/inference.py | 10 +++++-----
1 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/funasr/bin/inference.py b/funasr/bin/inference.py
index 1fac92e..be7cf88 100644
--- a/funasr/bin/inference.py
+++ b/funasr/bin/inference.py
@@ -21,7 +21,7 @@
from funasr.utils.vad_utils import slice_padding_audio_samples
from funasr.utils.timestamp_tools import time_stamp_sentence
-def build_iter_for_infer(data_in, input_len=None, data_type=None, key=None):
+def prepare_data_iterator(data_in, input_len=None, data_type=None, key=None):
"""
:param input:
@@ -62,7 +62,7 @@
if data_type is not None and isinstance(data_type, (list, tuple)):
data_list_tmp = []
for data_in_i, data_type_i in zip(data_in, data_type):
- key_list, data_list_i = build_iter_for_infer(data_in=data_in_i, data_type=data_type_i)
+ key_list, data_list_i = prepare_data_iterator(data_in=data_in_i, data_type=data_type_i)
data_list_tmp.append(data_list_i)
data_list = []
for item in zip(*data_list_tmp):
@@ -204,7 +204,7 @@
# if kwargs.get("device", "cpu") == "cpu":
# batch_size = 1
- key_list, data_list = build_iter_for_infer(input, input_len=input_len, data_type=data_type, key=key)
+ key_list, data_list = prepare_data_iterator(input, input_len=input_len, data_type=data_type, key=key)
speed_stats = {}
asr_result_list = []
@@ -268,7 +268,7 @@
batch_size_threshold_ms = int(kwargs.get("batch_size_threshold_s", 60))*1000
kwargs["batch_size"] = batch_size
data_type = kwargs.get("data_type", "sound")
- key_list, data_list = build_iter_for_infer(input, input_len=input_len, data_type=data_type)
+ key_list, data_list = prepare_data_iterator(input, input_len=input_len, data_type=data_type)
results_ret_list = []
time_speech_total_all_samples = 0.0
@@ -397,7 +397,7 @@
kwargs.update(cfg)
- key_list, data_list = build_iter_for_infer(input, input_len=input_len)
+ key_list, data_list = prepare_data_iterator(input, input_len=input_len)
batch_size = kwargs.get("batch_size", 1)
device = kwargs.get("device", "cpu")
if device == "cpu":
--
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