CPU option in Docker file #98
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #98 +/- ##
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Coverage 79.57% 79.57%
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Files 13 13
Lines 426 426
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Hits 339 339
Misses 87 87 ☔ View full report in Codecov by Sentry. |
jacobbieker
reviewed
Apr 2, 2024
environment_cpu.yml
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| - zarr | ||
| - h3-py | ||
| - numpy | ||
| - torch==2.2.2+cpu -f https://download.pytorch.org/whl/torch_stable.html |
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I think you can set pytorch to be cpuonly with this instead, might be less brittle than this other way
Suggested change
| - torch==2.2.2+cpu -f https://download.pytorch.org/whl/torch_stable.html | |
| - cpuonly |
| RUN conda update -n base -c defaults conda | ||
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| # Check if CUDA is available and accordingly choose env | ||
| RUN cuda=$(command -v nvcc > /dev/null && echo "true" || echo "false") \ |
jacobbieker
reviewed
Apr 2, 2024
Co-authored-by: Jacob Bieker <[email protected]>
jacobbieker
reviewed
Apr 2, 2024
jacobbieker
approved these changes
Apr 2, 2024
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Pull Request
Description
added condition to check for cuda availability and accordingly creates environment
Fixes #97
How Has This Been Tested?
by building image in non cuda device
If your changes affect data processing, have you plotted any changes? i.e. have you done a quick sanity check?
Checklist: