Mock quantization backends (optimum, torchao, gguf) for diffusers docs - #806
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With DIFFUSERS_SLOW_IMPORT=yes (which the shared workflows set), the quantization docs need the quanto/torchao/gguf backends importable. Mocking optimum also sidesteps a diffusers bug in the unavailable path: dummy_optimum_quanto_objects uses backend name "optimum_quanto" while BACKENDS_MAPPING only has "quanto", so requires_backends raises KeyError instead of the intended ImportError. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Follow-up to #805: the diffusers main doc build got past sentencepiece and then failed with
KeyError: 'optimum_quanto'onapi/quantization.md(https://github.com/huggingface/diffusers/actions/runs/28853508918). Two things:DIFFUSERS_SLOW_IMPORT=yes(which the shared workflows set globally) — this addsoptimum,torchao, andggufas mocks, so autodoc documents the realQuantoConfig/TorchAoConfig/GGUFclasses instead of dummies.KeyErroritself is a latent diffusers bug the container had been masking:dummy_optimum_quanto_objects.pydeclares backend"optimum_quanto"butBACKENDS_MAPPINGonly has the key"quanto", sorequires_backendscrashes instead of raising the intended "requires optimum-quanto" ImportError. Worth a one-line fix in diffusers regardless (cc'd on [fix] missing doc-builder imports diffusers#14134).Validated: full diffusers docs (363 pages from current main) build in a fresh venv with only doc-builder + registry deps + diffusers
--no-deps, withDIFFUSERS_SLOW_IMPORT=yes— the exact CI conditions (my earlier validations missed that env var; the local harness now sets it).🤖 Generated with Claude Code