0478628f1721e0ed2d6f4ad897e2cbfd081cf9cd
Tested on real machine (cc-b2042074, BI-V100, IX-ML 3.2.3): _moe_C.topk_softmax() → SUCCESS, correct output Two fixes proven on hardware: 1. cuda_compat.h: WARP_SIZE=64 (BI-V100 warp is 64, not 32) 2. topk_softmax_kernels.cu: cub/block/block_reduce.cuh instead of cub/cub.cuh (cub.cuh pulls radix_sort which has WARP_SIZE conflict) Key finding: ixformer SDK on this base image does NOT have topk_softmax. The ixformer::infer namespace from xllm's ixformer.h is for newer SDK. We MUST compile our own _moe_C kernel — which now works. Build flags (clang 16, ivcore10): CUDA: -O3 -cl-fast-relaxed-math (NOT --use_fast_math) C++: -O2 -std=c++17 Dockerfile simplified: 3 steps (was 6) _custom_ops.py: _moe_C as Priority 0, in-place vllm API
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