Comments (1)
JackCaoG
commented on July 30, 2024
couple thing I think we should consider
- The merge rule should be more strict as the release deadline approaches. For the first 1-2 week we can still consider taking features that's critical to the user/customer.
- For features that can be turned off by a flag or not enabled by default we should consider them as safer. Features that will affect the default behavior of the PyTorch/XLA is dangerous and shouldn't be taken after release unless it is a regression fix.
- The bar for the experimental feature can be lower since we set the user expection. The changes to a already stable feature should be more carefully review.
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Related Issues (20)
- Equivalent of get_worker_info to split an IterableDataset HOT 18
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- Op info test for `T .. arange` HOT 1
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- Failed to import torch_xla by following the GPU instructions on an H100 node (A3-High) HOT 1
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