f32ef970134a9bc97b1df709f1d584776e8da277
moe_topk_softmax_v3.cu: BI-V100 verified (2026-08-10) - 64 experts, topk=8, warp shuffle, zero shared memory - renormalize: sum=1.0 ✓, no NaN ✓, no duplicate ids ✓ - 881 token batch ✓ - Compiler: corex clang/16, --cuda-gpu-arch=ivcore10 - Stream: c10::cuda::getCurrentCUDAStream() corex_moe.py: loads CUDA kernel, NO Python fallback - Searches pre-compiled .so → JIT compile from source → error - MoE pipeline: CUDA topk → cublas expert GEMM → ixformer silu_and_mul precompile_moe_topk.py: Docker build-time compilation + verification Key finding from real machine probing: ixformer::infer::topk_softmax is DECLARED in ixformer.h but NOT IMPLEMENTED in any .so in the base image (nm -D scan: zero hits). Must compile our own kernel.
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