Abhinavsing/elastic#4434
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…ing, dynamic mesh recovery, and GKE scale-up) Integrates snapshot-based failure recovery directly into the training iteration. - Implements asynchronous host snapshot manager (snapshot.py) to copy TrainState parameters to CPU pinned host memory in a background daemon thread, minimizing host memory overhead by freeing old snapshot buffers before allocating new transfers. - Integrates recovery and scale-up pathways inside the training loop in train.py, including dynamic configuration mutation and JAX set_mesh compiler safety isolation. - Utilizes the standard pathwaysutils.elastic.manager.Manager directly to track slice health, eliminating custom manager duplication and optimizing startup times by avoiding redundant checks. - Optimizes RNG key sharding during JIT by defining out_shardings directly inside jax.jit(jax.random.fold_in, out_shardings=...). - Incorporates configurable elastic_snapshot_interval parameter in Pydantic settings. - Clarifies checkpoint restoration logging.
… sizes on recovery
…ree structure for NNX
abhinavclemson
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A9isha,
NicoGrande,
NuojCheng,
RissyRan,
SurbhiJainUSC,
aireenmei,
darisoy,
dipannita08,
gagika,
hengtaoguo,
igorts-git,
jiangjy1982,
richjames0,
shralex,
suexu1025,
vipannalla and
xibinliu
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