Jupyter server on an Ubuntu 22.04 image with RoCM support.
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Jupyter server on an Ubuntu 22.04 image with RoCM support.
http://127.0.0.1:8081/?token=2ec7a1238a85736595e3aa24a7b6a46ae6765306e5d0c174
127.0.0.1 with localhostBasic Jupyter Server
docker run -it --rm --ipc=host -p 8081:8081 --shm-size 8G \
--device=/dev/kfd --device=/dev/dri --group-add=video \
--cap-add=SYS_PTRACE --security-opt seccomp=unconfined \
-v "$HOME/Desktop/stable_diffusion:/workdir" zi0p4tch088/rocmydocker-colab
Jupyter Server + X11 Forwarding + Tensorboard Port
docker run -it --rm --ipc=host -p 8081:8081 -p 6006:6006 --shm-size 8G \
--device=/dev/kfd --device=/dev/dri --group-add=video \
--cap-add=SYS_PTRACE --security-opt seccomp=unconfined \
-e "DISPLAY=unix$DISPLAY" -v /tmp/.X11-unix:/tmp/.X11-unix \
-v "$HOME/Desktop/stable_diffusion:/workdir" zi0p4tch088/rocmydocker-colab
To monitor the temperature and VRAM usage of your AMD Radeon GPU, open another terminal and execute the following command:
docker exec -it CONTAINER_NAME /bin/bash -c "watch rocm-smi"
To obtain the CONTAINER_NAME, run docker ps and look for the name of the running container in the last column.
This command provides real-time information about your GPU's temperature and VRAM usage during the training process.
Content type
Image
Digest
sha256:5880563a3…
Size
7.2 GB
Last updated
over 3 years ago
docker pull zi0p4tch088/rocmydocker-colab