73 lines (58 with data), 2.5 kB
name: Bug report
about: Create a report to help us improve
title: ''
labels: ''
assignees: ''
Describe the bug
A clear and concise description of what the bug is.
To Reproduce
Steps to reproduce the behavior:
1. Go to '...'
2. Install '....'
3. Run commands '....'
Expected behavior
A clear and concise description of what you expected to happen.
Screenshots
If applicable, add screenshots to help explain your problem.
Environment
operating system and version?
e.g. Ubuntu 23.10 LTS
docker version?
type
docker version
NVIDIA Container Toolkit
please paste the output of (or a more suitable base version for your system):
docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi
You should see something like:
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 530.30.02 Driver Version: 530.30.02 CUDA Version: 12.1 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA RTX A5000 Off| 00000000:01:00.0 Off | Off |
| 30% 17C P8 12W / 230W| 6MiB / 24564MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 1 Quadro RTX 8000 Off| 00000000:C1:00.0 Off | Off |
| 33% 17C P8 9W / 260W| 6MiB / 49152MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
Python environment and version?
e.g. Conda environment with Python 3.10
version of BraTS Toolkit?
please specify your version of BraTS Toolkit (please make sure you run the latest version):
pip freeze | grep brats-toolkit
Additional context
Add any other context about the problem here.