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Batch Parallelism already works with Lux. Users can checkout https://lux.csail.mit.edu/stable/api/Lux/distributed_utils. This issue is to plan out how to implement fully sharded data parallelism using Reactant and XLA
TODO -- How do other packages like Jax and Pytorch expose this to users?
The text was updated successfully, but these errors were encountered:
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Batch Parallelism already works with Lux. Users can checkout https://lux.csail.mit.edu/stable/api/Lux/distributed_utils. This issue is to plan out how to implement fully sharded data parallelism using Reactant and XLA
Upstream Features Needed
ML Package Docs
TODO -- How do other packages like Jax and Pytorch expose this to users?
The text was updated successfully, but these errors were encountered: