Fix DiLoCo training compatibility issues

[khatwanimohit]

Description

Summary:

• Fix mesh discovery for drjax: Pass mesh explicitly to all drjax.broadcast/drjax.map_fn calls since jax.set_mesh() uses a different thread-local than pxla.thread_resources (which drjax reads). Also add with mesh: alongside jax.set_mesh() in train and train_compile
  entrypoints.
• Fix data loading order: Move jax.device_put after reshape_first_axis_with_diloco in DataLoader.load_next_batch, and add the diloco reshape to RampUpDataLoader as well. Guard sharding access in reshape_for_diloco for arrays without a .sharding attribute.
• Fix outer optimizer state sharding: Shard the SGD momentum trace like model params instead of fully replicating it (replicated sharding caused issues).
• Auto-resolve dcn_diloco_parallelism=-1: Infer the diloco DCN parallelism from num_slices and other DCN axes, matching the existing convention for dcn_data_parallelism.
• Add use_tokamax_gmm + enable_diloco incompatibility check: Raise a clear error since tokamax's GroupSizes vmap_rule breaks under drjax's jax.vmap batching.
• Add diloco mesh axis to the deepseek3-671b-2dfsdp config.

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Tests

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[codecov]

Codecov Report

❌ Patch coverage is 55.00000% with 9 lines in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
src/maxtext/trainers/diloco/diloco.py	54.54%	5 Missing ⚠️
src/maxtext/common/data_loader.py	50.00%	1 Missing and 1 partial ⚠️
src/maxtext/utils/train_utils.py	0.00%	2 Missing ⚠️

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