add Dockerfile #30
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bitplane
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Nothing to do with my day job, no conflict of interest or IP claims - all my own sweat and tears @microsoft-github-policy-service agree |
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Add a post-build script that runs the first time you execute it on a machine with a GPU, since some stuff won't build in the builder Changed app.py to serve on 0.0.0.0, 'cause otherwise we can't expose the ports
AnotiaWang
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Dec 12, 2024
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| # git and build-essential are needed for post_install.sh script. | ||
| # vim and strace are useful for debugging, remove those if you want to. | ||
| RUN apt update && \ | ||
| apt upgrade && \ |
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Maybe missing a -y option here in apt upgrade? Otherwise docker will fail:
Need to get xxxMB of archives.
After this operation, xxxMB of additional disk space will be used.
Do you want to continue? [Y/n] Abort.
ERROR: failed to solve: process "/bin/sh -c apt upgrade" did not complete successfully: exit code: 1
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oof! Yes I added this without testing it. You wouldn't believe how many times I've rebuilt this image! Thanks :)
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Could we add a compose.yml file as icing on top? or some docker run examples in the readme? |
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This commit bash files and dockerfile is great. If we can provide docker build cmd and run cmd might be more clear ? : also linux host machine might need to install nvidia cuda driver ? docker run --gpus all \
-p 7860:7860 \
trellis_01 Then port 7860 is ready to serve : ) |
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And do we have good support on trellis main repo code update CI into current image/container ? |
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And i also got some running fail log after docker build and run docker run --gpus all \
-p 7860:7860 \
trellis_01 &>run.logclick to open log |
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Add a Dockerfile, a script to start it on the machine, and a post-build script that runs the first time you execute it on a machine with a GPU (some things won't build without CUDA in the builder, which is currently unsupported by buildx)