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Fix/nnx sharding#4199

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hsuan-lun-chiang wants to merge 5 commits into
AI-Hypercomputer:mainfrom
CIeNET-International:fix/NNX-Sharding
Draft

Fix/nnx sharding#4199
hsuan-lun-chiang wants to merge 5 commits into
AI-Hypercomputer:mainfrom
CIeNET-International:fix/NNX-Sharding

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@hsuan-lun-chiang

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google-cla Bot commented Jun 18, 2026

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Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).

View this failed invocation of the CLA check for more information.

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ecnal-cienet and others added 2 commits June 18, 2026 02:59
PR6-PR10 promoted every routed-to-Linen feature to NNX-native. This PR flips the three defaults in base.yml so NNX is the production path, pins Linen-coupled tests so the flip doesn't silently swap their backend, 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).

NNX pipeline parallelism deferred to PR11.5; train_compile fails fast under pure_nnx=True with pipeline configured.
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