dylanyunlong/project_6

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muh-bot cfa6516cc6 [BUGFIX] patch_paged_attention_v2.py: NameError V2_MODULE undefined → V2_MODULE_PYTORCH

deploy_v2_module() 引用 V2_MODULE 但文件只定义了 V2_MODULE_PYTORCH 和 V2_MODULE_TRITON。
这导致 Docker build 时 NameError → V2 module 部署静默失败 → _custom_ops.py 的
V2 import 会 ImportError → V2 路径不可用。

修复: 4 处 V2_MODULE 引用全部改为 V2_MODULE_PYTORCH

影响: 如果 Dockerfile 启用了 V2 (patch_paged_attention_v2.py),
此 bug 意味着 V2 module 从未被正确部署。V2 的 import 总是失败,
paged_attn.py 的 V2 路径总是走到 except 分支。

这实际上是一个'幸运的 bug'——因为 V2 PyTorch 比 V1 ixformer 慢,
V2 部署失败反而保护了性能。但它也意味着如果未来需要 V2,
必须先修这个 bug。

功能测试影响: 无 (V2 不影响功能测试, V1 已够用)
效果测试影响: 正面 (V1 ixformer 精度一致性好于 V2 PyTorch)

2026-08-05 07:07:54 +00:00

[CCCL] 瘦身 + 补全: 移除 cudax/python/libcudacxx-tests 冗余文件, 新增 c2h 测试助手 + cmake 构建系统 + 8 个 CUDA thrust examples

2026-08-03 12:39:26 +00:00

[analysis] MoE execution path: 640+ kernel launches/step, 192 CUDA mallocs/step

2026-08-05 03:58:07 +00:00

[gen_patch] Replace dead .cu injection points with real Triton/config targets

2026-08-05 03:36:37 +00:00

fix: critical config + tuning corrections from CCCL source analysis

2026-08-03 06:45:54 +00:00

qwen3_6_scripts

[BUGFIX] patch_paged_attention_v2.py: NameError V2_MODULE undefined → V2_MODULE_PYTORCH

2026-08-05 07:07:54 +00:00

[perf] sampler: fast path for top_k without top_p — torch.topk replaces full sort

2026-08-05 06:32:35 +00:00

feat: add qwen3_5.py vllm adapter for Qwen3.6-35B-A3B

2026-08-01 13:54:33 +00:00

__init__.py

[DEPLOY] Complete submission: baseline + all optimizations

2026-07-30 16:06:20 +00:00

.gitignore

[DEPLOY] Complete submission: baseline + all optimizations

2026-07-30 16:06:20 +00:00

attention.py

[DEPLOY] Complete submission: baseline + all optimizations

2026-07-30 16:06:20 +00:00

baseline.muh

[MUH] Fix three-layer disconnect — C++ headers are now the single source of truth

2026-07-30 14:12:33 +00:00

BI_V100_BENCHMARK_RUNBOOK.md

[docs] BI-V100 benchmark runbook: Phase 0 硬件探测 + Phase 1 quick sweep + Phase 3 端到端验证

2026-08-04 01:14:30 +00:00

CCCL_INTEGRATION_STATUS.md

docs: CCCL integration status — 462 assets inventory, 8/8 decode hot path coverage, no-clone-more verdict

2026-08-03 03:50:24 +00:00

chat_dataset_v0.json

[DEPLOY] Complete submission: baseline + all optimizations

2026-07-30 16:06:20 +00:00

computility-run.yaml

[yaml+prefill] num-scheduler-steps 8→16 from CCCL delay analysis

2026-08-05 03:16:06 +00:00

Dockerfile

feat: deploy CCCL-tuned prefix_prefill + muh_dispatch + fix SM=16 count

2026-08-03 08:30:16 +00:00

ENGINEX_INJECTION_MAP.md

docs: EngineX vllm injection map — Python not C++, Triton not CUDA, 32KB SMEM claim

2026-08-03 03:59:49 +00:00

enginex-vllm-bi100-qwen36-main.zip

update baseline

2026-07-30 15:19:37 +00:00

launch_service

sync: align with enginex-vllm-bi100-qwen36 baseline (1902c81f)

2026-07-31 09:43:58 +00:00

muh_dispatch.py

feat: deploy CCCL-tuned prefix_prefill + muh_dispatch + fix SM=16 count

2026-08-03 08:30:16 +00:00

muh_kernel_map.py

[docs+code] lookback delay is a no-op on BI-V100 + V2 compound reduce pattern

2026-08-05 03:35:07 +00:00

MUH_PROJECT_CHECKPOINT.md

[MUH] Fix 7 structural discrepancies vs CCCL — read source, not grep

2026-07-30 14:37:38 +00:00

paged_attention_v2_pytorch.py

[v2] document CCCL kernel_reduce.cuh SingleTile + scan GridThreshold=500 insights

2026-08-05 03:57:29 +00:00

paged_attention_v2_triton.py

[ARCH] CCCL-derived paged attention kernel architecture + Triton rewrite

2026-07-31 04:13:07 +00:00

paged_attn.py

[fix] paged_attn: re-force V1 — V2 is pure PyTorch, not C++ (confirmed from _custom_ops.py)

2026-08-05 06:27:17 +00:00

prefix_prefill.py

[prefill] asymmetric BLOCK_M/BLOCK_N from CCCL AgentReduce insight

2026-08-05 03:07:20 +00:00

README.md

Initial commit

2026-07-30 17:03:23 +08:00

TUNING_SURFACE_TRUTH.md

fix: revert invalid patches, add honest tuning surface assessment

2026-08-03 10:34:28 +00:00

README.md

project_6

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C++ 41.8%

Cuda 31.6%

Python 22.2%

C 2.1%

CMake 1.1%

Other 1.1%