Files
mscclpp/test/python
Qinghua Zhou 10cd0012f1 tests/ep: LL bench prints per_rank_bw and accepts size env vars
- Report both per-rank and aggregate BW to align with NCCL-EP's ep_bench
  (which reports per-rank GB/s).
- Accept MSCCLPP_EP_LL_TOKENS/HIDDEN/TOPK/EXPERTS_PER_RANK env overrides
  so we can match external benchmark problem sizes (NCCL-EP LL defaults
  are num_tokens=128, hidden=7168, top_k=8).
2026-04-23 22:20:40 +00:00
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