1d193f58bb
After the upstream cascade generalised _apply_group_offload to stream every DiT it finds on the pipe (transformer AND transformer_2), apply_memory_plan's group tier already block-streams both A14B experts, and model/sequential offload hook every top-level module. The explicit per-expert pass this branch added is therefore redundant: on a real group-tier load it re-registers the group-offload hooks transformer_2 already carries, which diffusers rejects with a duplicate-hook ValueError. That was swallowed by the helper's try/except and surfaced as a misleading "second expert stays resident" warning even though the expert was in fact streamed. Remove the pass and document why MoE needs none. |
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| .. | ||
| data_recipe | ||
| export | ||
| inference | ||
| rag | ||
| training | ||
| __init__.py | ||
| _torchao_stub.py | ||
| import_guards.py | ||
| tool_healing.py | ||