containers: cuda contianer needs libcudann8 and nvidia-driver-NVML #1018
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This is needed by #1016 |
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Tested this on a G5 AWS instance. And it does the trick. |
cdoern
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Apr 26, 2024
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@Mergifyio rebase |
The libcudann8 container needs to be installed in the container or
else we see errors like this one:
File "/usr/local/lib64/python3.11/site-packages/torch/__init__.py", line 237, in <module>
from torch._C import * # noqa: F403
^^^^^^^^^^^^^^^^^^^^^^
ImportError: libcudnn.so.8: cannot open shared object file: No such file or directory
And in order to find devices in torch:
$ python3.11
>>> import torch
>>> torch.cuda.device_count()
1
The above returns zero without nvidia-driver-NVML
Signed-off-by: Stef Walter <stefw@redhat.com>
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Groan, look like I forgot one depnedency: |
russellb
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Apr 26, 2024
This was called out by @stefwalter on instructlab#1018. He did that PR and commented after it merged that this is needed as well. Signed-off-by: Russell Bryant <rbryant@redhat.com>
@stefwalter posted in #1023 |
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The libcudann8 container needs to be installed in the container or
else we see errors like this one:
And in order to find devices in torch:
The above returns zero without nvidia-driver-NVML