tensorflow选择使用的gpu

2023年6月15日 588次阅读 来源: 甩脖子的长颈鹿

实验室服务器被人在跑，用了一个GPU导致我代码报错：

2019-03-07 10:56:42.691244: E tensorflow/stream_executor/cuda/cuda_blas.cc:459] failed to create cublas handle: CUBLAS_STATUS_NOT_INITIALIZED
2019-03-07 10:56:42.694239: E tensorflow/stream_executor/cuda/cuda_blas.cc:459] failed to create cublas handle: CUBLAS_STATUS_NOT_INITIALIZED
2019-03-07 10:56:42.695757: E tensorflow/stream_executor/cuda/cuda_blas.cc:459] failed to create cublas handle: CUBLAS_STATUS_NOT_INITIALIZED
2019-03-07 10:56:42.729995: E tensorflow/stream_executor/cuda/cuda_blas.cc:459] failed to create cublas handle: CUBLAS_STATUS_NOT_INITIALIZED
2019-03-07 10:56:42.732594: E tensorflow/stream_executor/cuda/cuda_blas.cc:459] failed to create cublas handle: CUBLAS_STATUS_NOT_INITIALIZED
2019-03-07 10:56:42.734765: E tensorflow/stream_executor/cuda/cuda_blas.cc:459] failed to create cublas handle: CUBLAS_STATUS_NOT_INITIALIZED
2019-03-07 10:56:42.757543: E tensorflow/stream_executor/cuda/cuda_dnn.cc:352] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR
Segmentation fault (core dumped)

然后我就在代码里面加了：

gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.333)
sess = tf.Session(config=tf.ConfigProto(gpu_options=gpu_options))

还是报错，我又加了：

import os
os.environ["CUDA_VISIBLE_DEVICES"] = "1"

运行时使用：

CUDA_VISIBLE_DEVICES=1 python test.py

在命令行运行即可，最后成功

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.87                 Driver Version: 390.87                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 108...  Off  | 00000000:05:00.0  On |                  N/A |
| 70%   87C    P2   182W / 250W |  10850MiB / 11175MiB |    100%      Default |
+-------------------------------+----------------------+----------------------+
|   1  GeForce GTX 108...  Off  | 00000000:06:00.0 Off |                  N/A |
| 25%   61C    P2    64W / 250W |   4097MiB / 11178MiB |     25%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0      1300      G   /usr/lib/xorg/Xorg                           200MiB |
|    0      2126      C   ./darknet                                   7953MiB |
|    0     10356      C   python                                      2577MiB |
|    0     31115      G   compiz                                       108MiB |
|    1      3649      C   python                                      4085MiB |
+-----------------------------------------------------------------------------+

    原文作者：甩脖子的长颈鹿
    原文地址: https://zhuanlan.zhihu.com/p/58549369
    本文转自网络文章，转载此文章仅为分享知识，如有侵权，请联系博主进行删除。
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