CI/CD - Upgrade dependency versions in pipeline #671
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Upgrade dependency versions in Azure pipeline: * Remove Python 3.6 and add Python 3.10 for cpu-unit-test * Upgrade CUDA from 11.1 to 12.4 for cuda-unit-test * Update labels accordingly
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #671 +/- ##
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- Coverage 85.75% 85.58% -0.18%
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Files 98 98
Lines 7043 7046 +3
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- Hits 6040 6030 -10
- Misses 1003 1016 +13
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Fix sudo issue inside container.
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Fix unit test.
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Update. Co-authored-by: Dilip Patlolla <[email protected]>
Fix unit test.
guoshzhao
approved these changes
Nov 26, 2024
Fix cache tests issues with cuda 12.4 and pytorch 2 https://pytorch.org/docs/stable/notes/cuda.html#cuda-memory-management: ``` PyTorch uses a caching memory allocator to speed up memory allocations. This allows fast memory deallocation without device synchronizations. However, the unused memory managed by the allocator will still show as if used in nvidia-smi. You can use memory_allocated() and max_memory_allocated() to monitor memory occupied by tensors, and use memory_reserved() and max_memory_reserved() to monitor the total amount of memory managed by the caching allocator. Calling empty_cache() releases all unused cached memory from PyTorch so that those can be used by other GPU applications. However, the occupied GPU memory by tensors will not be freed so it can not increase the amount of GPU memory available for PyTorch. ```
Revert changes for transformer.
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Upgrade dependency versions in Azure pipeline: