step_denoise_adam uses adam_update_kernel + grad_norm_finalize_kernel UNGRAPHED
after child graph replays. Same CUfunctions are captured in adam_child and
forward_child. On Hopper, launching a captured CUfunction ungraphed corrupts
graph kernel state → 3100ms adam_child replay on next step.
Fix: skip selectivity+denoise ungraphed training. These are auxiliary optimizers
with non-fatal error handling. To re-enable: load separate CUfunction instances
for ungraphed paths or move into child graphs.
Expected: adam drops from 3100ms to ~30ms. Epoch from ~690s to ~60s.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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