cuda_visible_devices
如果想只使用部分GPU，可以设置CUDA_VISIBLE_DEVICES。在调用python程序时，可以使用（见第一个参考网址Franck Dernoncourt的回复）：., 如果使用多gpu运行程序，可以直接使用CUDA_VISIBLE_DEVICES=0,1,2,3 python xxx.py来设置该程序可见的gpu。当然也可以在程序开头 ..., 若要只使用特定的GPU 卡，可以使用 CUDA_VISIBLE_DEVICES 這個環境變數來設定，它的值代表CUDA 程式可以使用的GPU 卡編號（從 0 ..., However, a quick and easy solution for testing is to use the environment variable CUDA_VISIBLE_DEVICES to restrict the devices that your ..., CUDA_VISIBLE_DEVICES=0 python my_script.py # Uses GPU 0 $ CUDA_VISIBLE_DEVICES=1 python my_script.py # Uses GPU 1 ..., 可设置环境变量CUDA_VISIBLE_DEVICES，指明可见的cuda设备. 方法1： 在/etc/profile或~/.bashrc的配置文件中配置环境变量(/etc/profile影响 ..., Tensorflow accepts CUDA_VISIBLE_DEVICES but still allocates memory on multiple GPUs #16284. Closed. e-ka opened this Issue on Jan 22, ..., import os os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID" os.environ["CUDA_VISIBLE_DEVICES"]="0,3" # specify which GPU(s) to be ...,The problem was caused by not setting the CUDA_VISIBLE_DEVICES variable within the shell correctly. To specify CUDA device 1 for example, you would set ... , You can set environment variables in the notebook using os.environ . Do the following before initializing TensorFlow to limit TensorFlow to first ...
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 cuda_visible_devices 相關參考資料
（原）tensorflow中使用指定的GPU及GPU显存- darkknightzh - 博客园
如果想只使用部分GPU，可以设置CUDA_VISIBLE_DEVICES。在调用python程序时，可以使用（见第一个参考网址Franck Dernoncourt的回复）：. https://www.cnblogs.com （原）pycharm中使用CUDA_VISIBLE_DEVICES - darkknightzh - 博客园
如果使用多gpu运行程序，可以直接使用CUDA_VISIBLE_DEVICES=0,1,2,3 python xxx.py来设置该程序可见的gpu。当然也可以在程序开头 ... https://www.cnblogs.com TensorFlow 與Keras 指定NVIDIA GPU 顯示卡與記憶體用量教學- G. T. ...
若要只使用特定的GPU 卡，可以使用 CUDA_VISIBLE_DEVICES 這個環境變數來設定，它的值代表CUDA 程式可以使用的GPU 卡編號（從 0 ... https://blog.gtwang.org CUDA_VISIBLE_DEVICES 环境变量说明- 简书
However, a quick and easy solution for testing is to use the environment variable CUDA_VISIBLE_DEVICES to restrict the devices that your ... https://www.jianshu.com CUDA VISIBLE DEVICE - 简书
CUDA_VISIBLE_DEVICES=0 python my_script.py # Uses GPU 0 $ CUDA_VISIBLE_DEVICES=1 python my_script.py # Uses GPU 1 ... https://www.jianshu.com cuda设置指定的GPU可见- u010454261的博客- CSDN博客
可设置环境变量CUDA_VISIBLE_DEVICES，指明可见的cuda设备. 方法1： 在/etc/profile或~/.bashrc的配置文件中配置环境变量(/etc/profile影响 ... https://blog.csdn.net [bug?] Tensorflow accepts CUDA_VISIBLE_DEVICES but still ... - GitHub
Tensorflow accepts CUDA_VISIBLE_DEVICES but still allocates memory on multiple GPUs #16284. Closed. e-ka opened this Issue on Jan 22, ... https://github.com How to setting the GPU No. for training? · Issue #109 · matterport ...
import os os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID" os.environ["CUDA_VISIBLE_DEVICES"]="0,3" # specify which GPU(s) to be ... https://github.com How do I select which GPU to run a job on? - Stack Overflow
The problem was caused by not setting the CUDA_VISIBLE_DEVICES variable within the shell correctly. To specify CUDA device 1 for example, you would set ... https://stackoverflow.com Tensorflow set CUDA_VISIBLE_DEVICES within jupyter - Stack Overflow
You can set environment variables in the notebook using os.environ . Do the following before initializing TensorFlow to limit TensorFlow to first ... https://stackoverflow.com |