mirror of
https://github.com/mudler/LocalAI.git
synced 2026-06-27 18:06:58 -04:00
984c8fcbea
Source-only analysis of what it would take to give the gated-DeltaNet decode fusions (0018 in-place state write-back, 0019 fused recurrent-state gather, 0021 ssm_conv_update_inplace, 0028 conv-tap gather fusion) native kernels on the non-CUDA compute backends, so the patch-series decode win extends past CUDA-family hardware. Key findings: - The base GGML_OP_GATED_DELTA_NET and GGML_OP_SSM_CONV kernels ALREADY exist upstream on Metal, Vulkan AND SYCL (the README's no-Vulkan-kernel line is stale). The Qwen3.6 hybrids run on all three today via the non-fused path; Layer-2 is the decode SPEEDUP, not enabling the model to run. - Per backend the new work is only the FUSION plumbing: redirect the GDN state write (in-place), add the ids read, write one new conv-update kernel + its ids variant, two tiny gather kernels, plus supports_op + op-handler + (Vulkan) pipeline/push-constant/descriptor wiring. Builders, CPU refs, model graph and test-backend-ops cases are shared and already done. - Bit-exactness is feasible per backend by construction (the fusions redirect addresses, not the f32 reduction order); test-backend-ops (backendX-vs-CPU) is the gate. - The 0030 name allow-list should become capability-driven (make supports_op authoritative for the discriminated src slots). - Ranked: ops-first PR, then Metal (highest value/effort, fixed simdgroup = simplest bit-exactness), then SYCL (near-verbatim CUDA mirror, cheapest to author), then Vulkan (widest hardware reach but the shader-gen + variant matrix + subgroup variance make it the capstone). Assisted-by: Claude:opus-4.8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io>