NNX: fix sharding#4215
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In pure NNX training runs, model variables retrieve physical PartitionSpecs via `get_nnx_named_sharding_with_scan_axis` in `maxtext_utils.py`. Previously, this helper used Flax core SPMD's `from_sharding_rules` to map logical names to physical axes. However, `from_sharding_rules` resolves rules by converting the rules list into a dictionary (last-write-wins). This caused fallback rules sharing the same logical name (e.g. 'embed') to overwrite preceding specific rules, dropping essential axes like `fsdp_transpose` and leading to unsharded parameter percentage assertion errors. Additionally, resolving specifications independently for each dimension without tracking assigned axes could bind a single physical axis (like `fsdp_transpose`) to multiple positional dimensions of a tensor, causing `DuplicateSpecError`. To fix this: 1. Replaced `from_sharding_rules` with a Rules-first resolution loop that matches rules sequentially (first-match-wins), matching Flax Linen's mapping behavior. 2. Implemented an `assigned_axes` tracker within the loop to ensure physical mesh axes are bound to at most one dimension per tensor. 3. Added unit tests covering sequential matching (first-match-wins) and duplicate physical axis prevention during resolution.
PR6-PR10 promoted every routed-to-Linen feature to NNX-native; PR#2885 lands NNX-native pipeline parallelism. This PR flips the three defaults in base.yml so NNX is the production path, and bundles the NNX-only fixes that surface once pure_nnx=True (DiLoCo merge/checkpoint, Zero-1 input shardings on flat nnx.State, MTP sown-Variable handling, generate_param_only_checkpoint NNX flow, maxengine Linen-parity removal).
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PR6-PR10 promoted every routed-to-Linen feature to NNX-native; PR#2885 lands NNX-native pipeline parallelism. This PR flips the three defaults in base.yml so NNX is the production path, and bundles the NNX-only fixes that surface once pure_nnx=True (DiLoCo merge/checkpoint, Zero-1 input shardings on flat nnx.State, MTP sown-Variable handling, generate_param_only_checkpoint NNX flow, maxengine Linen-parity removal).
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