commit 4c365b8c added 1106 CCCL device-level headers (294K lines) to
qwen3_6_scripts/cccl_preload/include/. These are NOT used by the allocator
preload (which only needs cub/util_allocator.cuh + 288 transitive deps)
and cannot compile on corex CUDA 10.2 anyway.
The extra headers doubled docker context from 15MB to 31MB, likely
causing platform build timeout or size limit failure.
Restoring to the original 288-header set that is proven to compile and run.
Two problems from real BI-V100 build:
1. 'CUDA versions below 12 are not supported'
→ Add CCCL_IGNORE_DEPRECATED_CUDA_BELOW_12 (official suppress macro)
2. corex thrust/complex.h conflicts with CCCL thrust headers
→ Split into two compilation units:
- cccl_moe_sort_scatter.cu: CCCL headers only, C API, no torch
- cccl_moe_sort_scatter_pybind.cpp: torch headers only, no CCCL
Same pattern as proven cccl_allocator_preload.cu
3. Variadic device functions rejected by corex clang:
→ is_referenceable.h: __test(...) → __test(long)
→ invoke.h: __any(...) → template __any(_T)
→ conjunction.h: __and_helper(...) → __and_helper(long)
SFINAE still works: int overload wins, long is fallback.
