Adopts master as the standard for all overlapping work. Master's landed
optimizations supersede server-edition's own fp16 experiment:
- Unified --precision fp32|bf16 knob (bgfilter/precision.py) driving all
three models: ViTMatte weight cast + both BiRefNets via autocast, with a
hardware gate (falls back to fp32 off native-bf16 CPUs) and an
AutocastCPU fp32 shim for torchvision deform_conv2d.
- Query-chunked ViTMatte global attention (bgfilter/attn_chunk.py), exact
and bitwise-identical, caps the N^2 spike (~19 -> ~4 GB at 2048).
- Cross-check HR-matting forward reused as the seg mask (birefnet backend
only), skipping the primary seg model; MIMALLOC_PURGE_DELAY=0.
- inference_mode and the detect_background_color removal converge with
server-edition's earlier equivalents.
Conflict resolution (favoring master, preserving server-only features):
- vitmatte_infer/segmentation: dropped server's device-derived fp16 for
master's precision path, kept resolve_model_source (local weights).
- service.py: cross-check SegmentationSettings now passes precision so the
HTTP service honors bf16 like the CLI's _second_opinion does.
Verified on CPU: default fp32 pipeline loads 2 models (seg-reuse active)
and bf16 path runs (autocast + deform_conv2d shim) — both exit 0.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
lhk229
c19a35de80