From 3cd3473bf7a3b41484baa86d9092248d78e7af39 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 21 四月 2023 17:17:37 +0800
Subject: [PATCH] docs
---
funasr/bin/eend_ola_inference.py | 6 ++++--
1 files changed, 4 insertions(+), 2 deletions(-)
diff --git a/funasr/bin/eend_ola_inference.py b/funasr/bin/eend_ola_inference.py
index 0483278..87816dd 100755
--- a/funasr/bin/eend_ola_inference.py
+++ b/funasr/bin/eend_ola_inference.py
@@ -35,7 +35,7 @@
Examples:
>>> import soundfile
>>> import numpy as np
- >>> speech2diar = Speech2Diarization("diar_sond_config.yml", "diar_sond.pth")
+ >>> speech2diar = Speech2Diarization("diar_sond_config.yml", "diar_sond.pb")
>>> profile = np.load("profiles.npy")
>>> audio, rate = soundfile.read("speech.wav")
>>> speech2diar(audio, profile)
@@ -158,6 +158,8 @@
**kwargs,
):
assert check_argument_types()
+ ncpu = kwargs.get("ncpu", 1)
+ torch.set_num_threads(ncpu)
if batch_size > 1:
raise NotImplementedError("batch decoding is not implemented")
if ngpu > 1:
@@ -209,7 +211,7 @@
if data_path_and_name_and_type is None and raw_inputs is not None:
if isinstance(raw_inputs, torch.Tensor):
raw_inputs = raw_inputs.numpy()
- data_path_and_name_and_type = [raw_inputs[0], "speech", "bytes"]
+ data_path_and_name_and_type = [raw_inputs[0], "speech", "sound"]
loader = EENDOLADiarTask.build_streaming_iterator(
data_path_and_name_and_type,
dtype=dtype,
--
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