quantized duplicated precisions.json, which is authoritative for the
quantized/non-quantized partition. default expressed a per-repository
recommendation nothing consumed: the library resolves its own per-platform
default. Both are gone from the schema.
Both encoders lower to Vulkan with eager attention, which keeps the graph in
one delegate blob for vision and three for text instead of the 25 and 26 that
sdpa produces. Attention runs rank-3, folding the singleton batch into the
head dim, which is bit-identical and drops a third of the materialised view
dispatches.
The text encoder needs its token embedding kept off texture storage for fp16
to be correct (pytorch/executorch#22333); the vision tower has no token
embedding and is unaffected.
Requires the ExecuTorch 1.4.1 Vulkan runtime from the v0.10.0-libs-1.4.1
artifacts.
