如何在tensorflow中设置特定的gpu? [英] How to set specific gpu in tensorflow?

问题描述

我想指定 gpu 来运行我的进程.我设置如下:

I want to specify the gpu to run my process. And I set it as follows:

import tensorflow as tf
with tf.device('/gpu:0'):
    a = tf.constant(3.0)
with tf.Session() as sess:
    while True:
        print sess.run(a)

但是它仍然在我的两个 gpu 中分配内存.

However it still allocate memory in both my two gpus.

|    0      7479    C   python                         5437MiB 
|    1      7479    C   python                         5437MiB 

推荐答案

我相信你需要设置CUDA_VISIBLE_DEVICES=1.或者你想使用哪个 GPU.如果你只让一个 GPU 可见，你会在 tensorflow 中将其称为 /gpu:0，而不管你将环境变量设置为什么.

I believe that you need to set CUDA_VISIBLE_DEVICES=1. Or which ever GPU you want to use. If you make only one GPU visible, you will refer to it as /gpu:0 in tensorflow regardless of what you set the environment variable to.

有关该环境变量的更多信息:https://devblogs.nvidia.com/cuda-pro-tip-control-gpu-visibility-cuda_visible_devices/

More info on that environment variable: https://devblogs.nvidia.com/cuda-pro-tip-control-gpu-visibility-cuda_visible_devices/

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