GPU预测时出错，Aborted at 1637208819 (unix time) try "date -d @1637208819" if you are using GNU date

老师，您好。

前序步骤【数据准备】、【训练模型】、【执行评估】、【导出模型】均正常通过。

但是在【快速预测】时，执行：python infer_path.py --wav_path=./dataset/test.wav 后，出现以下错误：

root@pp:~/PPASR# python export_model.py --resume_model=models/deepspeech2/epoch_50/
/usr/local/lib/python3.7/dist-packages/numba/types/__init__.py:110: DeprecationWarning: `np.long` is a deprecated alias for `np.compat.long`. To silence this warning, use `np.compat.long` by itself. In the likely event your code does not need to work on Python 2 you can use the builtin `int` for which `np.compat.long` is itself an alias. Doing this will not modify any behaviour and is safe. When replacing `np.long`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  long_ = _make_signed(np.long)
/usr/local/lib/python3.7/dist-packages/numba/types/__init__.py:111: DeprecationWarning: `np.long` is a deprecated alias for `np.compat.long`. To silence this warning, use `np.compat.long` by itself. In the likely event your code does not need to work on Python 2 you can use the builtin `int` for which `np.compat.long` is itself an alias. Doing this will not modify any behaviour and is safe. When replacing `np.long`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  ulong = _make_unsigned(np.long)
/usr/local/lib/python3.7/dist-packages/librosa/cache.py:49: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be remo
root@pp:~/PPASR# python infer_path.py --wav_path=./dataset/test.wav
/usr/local/lib/python3.7/dist-packages/numba/types/__init__.py:110: DeprecationWarning: `np.long` is a deprecated alias for `np.compat.long`. To silence this warning, use `np.compat.long` by itself. In the likely event your code does not need to work on Python 2 you can use the builtin `int` for which `np.compat.long` is itself an alias. Doing this will not modify any behaviour and is safe. When replacing `np.long`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  long_ = _make_signed(np.long)
/usr/local/lib/python3.7/dist-packages/numba/types/__init__.py:111: DeprecationWarning: `np.long` is a deprecated alias for `np.compat.long`. To silence this warning, use `np.compat.long` by itself. In the likely event your code does not need to work on Python 2 you can use the builtin `int` for which `np.compat.long` is itself an alias. Doing this will not modify any behaviour and is safe. When replacing `np.long`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  ulong = _make_unsigned(np.long)
/usr/local/lib/python3.7/dist-packages/librosa/cache.py:49: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
  if self.cachedir is not None and self.level >= level:
/usr/local/lib/python3.7/dist-packages/librosa/cache.py:49: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
  if self.cachedir is not None and self.level >= level:
-----------  Configuration Arguments -----------
alpha: 1.2
beam_size: 10
beta: 0.35
cutoff_prob: 1.0
cutoff_top_n: 40
decoder: ctc_greedy
is_long_audio: False
lang_model_path: lm/zh_giga.no_cna_cmn.prune01244.klm
model_dir: models/deepspeech2/infer/
to_an: True
use_gpu: True
vocab_path: dataset/vocabulary.txt
wav_path: ./dataset/test.wav
------------------------------------------------

--------------------------------------
C++ Traceback (most recent call last):
--------------------------------------
0   paddle::framework::SignalHandle(char const*, int)
1   paddle::platform::GetCurrentTraceBackString[abi:cxx11]()

----------------------
Error Message Summary:
----------------------
FatalError: `Segmentation fault` is detected by the operating system.
  [TimeInfo: *** Aborted at 1637207454 (unix time) try "date -d @1637207454" if you are using GNU date ***]
  [SignalInfo: *** SIGSEGV (@0x0) received by PID 10680 (TID 0x7f258fdb6740) from PID 0 ***]

Segmentation fault

环境如下：

系统：Ubuntu  18.04 64位
显卡：NVIDIA P100 (单卡)
驱动：10.2.89
内存：60G
Python：3.7.5
PaddlePaddle：2.1.3 （PIP安装）
项目：PPASR
模型：thchs_30(34小时) 
noise模型：无

NVIDIA信息如下：

root@pp:~/PPASR# nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Wed_Oct_23_19:24:38_PDT_2019
Cuda compilation tools, release 10.2, V10.2.89
root@pp:~/PPASR# nvidia-smi
Thu Nov 18 12:05:23 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.91.03    Driver Version: 460.91.03    CUDA Version: 11.2     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  On   | 00000000:00:08.0 Off |                    0 |
| N/A   27C    P0    26W / 250W |      0MiB / 16280MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

请问老师，我在项目：“PaddlePaddle-DeepSpeech”和“PPASR"使用【GPU】预测均遇到该问题，使用【CPU】预测正常。在训练时，使用【GPU】也是正常。

请问这个问题是什么原因导致的？麻烦可否告知如何解决？

感谢您百忙这中抽空审阅，谢谢。

yeyupiaoling / PPASR

GPU预测时出错，Aborted at 1637208819 (unix time) try "date -d @1637208819" if you are using GNU date #11