Skip to content
This repository was archived by the owner on Apr 18, 2026. It is now read-only.
This repository was archived by the owner on Apr 18, 2026. It is now read-only.

using gpu memory but not computation #42

@psm1000

Description

@psm1000

I use A6000 gpu installed with nvidia driver version 11.6
but I use nvidia/cuda:11.2.0. image where cudnn version is 8.1.1

I installed all the packages in requirements.txt

The training is proceeding but GPU uses only memory and doesn't compute. I think that computation might be proceeded in the cpu.

Also, I change 'train.py' like this,

def main(argv):
jax.config.parse_flags_with_absl()
physical_devices = tf.config.list_physical_devices('GPU')
tf.config.experimental.set_visible_devices(physical_devices[2:], 'GPU')

캡처

So I uninstalled tensorflow and newly install tensorflow-gpu, but the result is same.

I need help.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type
    No fields configured for issues without a type.

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions