Help Center/ ModelArts/ Troubleshooting/ Training Jobs/ GPU Issues/ No GPU Is Found for a Training Job
Updated on 2022-12-08 GMT+08:00

No GPU Is Found for a Training Job

Symptom

The following error message is displayed during the running of a ModelArts training job:

failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected

Possible Cause

According to error information, the error cause is that the training job running program cannot read the GPU.

Solution

Check whether the following configuration information is added to code and set the GPU visible to the program based on the error message:

os.environ['CUDA_VISIBLE_DEVICES'] = '0,1,2,3,4,5,6,7'

In the preceding information, 0 is a GPU ID of the server. The GPU ID can be 0, 1, 2, 3, or the like, indicating a GPU ID visible to the program. If the configuration information is not added, the GPU corresponding to the ID is unavailable.