project6 8b6f3fd242 fix(MoE): robust CUDA kernel loading + no-GPU precompile ...

1. precompile_moe_topk.py: skip GPU verification during Docker build
   (torch.cuda.is_available() check — .so compilation doesn't need GPU)

2. _custom_ops.py topk_softmax init: 3-tier loading
   - import precompiled module (torch cache)
   - scan known .so paths (torch_extensions cache dirs)
   - JIT compile from .cu source
   - PyTorch fallback with WARNING (not silent — must know if CUDA failed)

3. patch_ops.sh: report .so location after precompile for debugging

2026-08-10 07:50:28 +00:00

..

csrc

refactor(bridge): rewrite ix_full_bridge.cpp for actual base image symbols

2026-08-10 06:34:54 +00:00

include

ref(EX): import upstream ILU kernels + xllm MoE CUDA sources into ex_engine

2026-08-10 03:59:45 +00:00

python

feat(moe): wire silu_and_mul through C++ bridge in corex_moe.py

2026-08-10 06:36:40 +00:00

build.sh

refactor(EX): upstream-aligned kernels + FlashQLA GDN backend

2026-08-10 02:55:58 +00:00

deploy_corex_modules.sh

feat(EX): corex_fa2.py — third dlopen module from comp 168 AST chain

2026-08-10 04:01:21 +00:00

precompile_moe_topk.py

fix(MoE): robust CUDA kernel loading + no-GPU precompile

2026-08-10 07:50:28 +00:00