Claude a8b16da5da fix(CRITICAL): remove xformers patches — Sub168 proves base ixformer attention works at 11.9 TPS, our patches reduced to 2.6 TPS ...

Root cause of Sub 520 output_tps=2.6 (vs Sub 168 output_tps=11.9):
- patch_xformers_sdpa_seq.py replaces ixformer flash attention with
  pure PyTorch O(L^2) matmul+softmax serial implementation
- 32 full attention layers x every token = 4.6x slower

Sub 168 (base image) proof:
- output_tps_avg=11.9, output_tps_p50=13.0, output_tps_p90=18.1
- XFormers backend used WITHOUT any patches
- ixformer flash_attn works correctly on BI-V100

This commit: skip xformers patches in patch_ops.sh
Expected: output_tps should recover to ~11.9 (Sub 168 level)

2026-08-11 02:31:29 +00:00

..

flash_qla_sm70

fix(GDN): gate clamp [-5,0] (decay only) + state clamp ±100

2026-08-10 04:44:05 +00:00

qwen3_5

[DEPLOY] Complete submission: baseline + all optimizations

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

qwen3_5_moe

[DEPLOY] Complete submission: baseline + all optimizations

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

reasoning

fix(critical): 3 fixes from sub508 diagnosis — n>1 crash guard + thinking format + content fallback

2026-08-07 07:55:04 +00:00

_custom_ops.py

fix(PROVEN): _moe_C compiles and runs on real BI-V100 hardware

2026-08-11 01:50:48 +00:00

api_server.py

refactor(api): CCCL tuning_adjacent_difference policy_selector — dynamic error handling

2026-08-08 07:01:37 +00:00

arg_utils.py

[ARCH] Eliminate AST patch scripts — full file replacements only

2026-08-05 08:24:43 +00:00

chat_utils.py

fix(critical): 3 bugs causing 0.0 score — OOM crash + thinking param + multimodal

2026-08-07 07:05:40 +00:00

cli_args.py

[DEPLOY] Complete submission: baseline + all optimizations

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

logits_processor.py

[ARCH] Eliminate AST patch scripts — full file replacements only

2026-08-05 08:24:43 +00:00

mamba_cache.py

arch(CRITICAL): deploy ALL base engine patches — paged_attn, xformers, sequence, scheduler

2026-08-08 10:48:01 +00:00

model_runner.py

fix(engine): CCCL overflow_cast + checked_allocator patterns for NaN/OOM

2026-08-07 08:56:36 +00:00

paged_attention_v2_pytorch.py

[ENGINE] CCCL SmemResource pattern: pre-allocate staging buffers in V2 paged attention

2026-08-07 04:37:44 +00:00

paged_attn.py

arch(CRITICAL): deploy ALL base engine patches — paged_attn, xformers, sequence, scheduler

2026-08-08 10:48:01 +00:00

patch_model_runner.py

arch(CRITICAL): deploy ALL base engine patches — paged_attn, xformers, sequence, scheduler

2026-08-08 10:48:01 +00:00

patch_numerical_stability.py

fix(cccl): robust fallback — inject module-level safety if regex misses

2026-08-07 09:58:35 +00:00

patch_ops.sh

fix(CRITICAL): remove xformers patches — Sub168 proves base ixformer attention works at 11.9 TPS, our patches reduced to 2.6 TPS

2026-08-11 02:31:29 +00:00

patch_transformers_qwen3_5.py

fix(critical): remove pip install transformers — was breaking corex kernel loading

2026-08-07 10:02:09 +00:00

patch_vllm_tool_parser.py

arch(CRITICAL): deploy ALL base engine patches — paged_attn, xformers, sequence, scheduler

2026-08-08 10:48:01 +00:00

patch_xformers_sdpa_batch_kernel.py

arch(CRITICAL): deploy ALL base engine patches — paged_attn, xformers, sequence, scheduler

2026-08-08 10:48:01 +00:00

patch_xformers_sdpa_batch.py

arch(CRITICAL): deploy ALL base engine patches — paged_attn, xformers, sequence, scheduler

2026-08-08 10:48:01 +00:00

patch_xformers_sdpa_seq_kernel.py

arch(CRITICAL): deploy ALL base engine patches — paged_attn, xformers, sequence, scheduler

2026-08-08 10:48:01 +00:00

patch_xformers_sdpa_seq.py

arch(CRITICAL): deploy ALL base engine patches — paged_attn, xformers, sequence, scheduler

2026-08-08 10:48:01 +00:00

precompile_gdn.py

build(SM70): precompile GDN CUDA kernel to .so during docker build

2026-08-10 01:08:38 +00:00

prefix_prefill.py

fix(critical): v2 kernel softmax normalization was commented out — outputs were wrong

2026-08-07 02:46:46 +00:00

probe_corex_api.py

fix(build): add .dockerignore + safe probe — fix docker build failure

2026-08-08 11:21:43 +00:00

protocol.py

fix(dispatch): radix_sort-inspired size-dispatch — disable thinking for small max_tokens, clamp oversized max_tokens

2026-08-08 07:36:31 +00:00

qwen3_5_base_original.py

arch(CRITICAL): replace custom qwen3_5.py with base original (1369 lines)

2026-08-08 08:10:55 +00:00

qwen3_5.py

revert(corex_gdn+qwen3_5): restore to ff3562b9 — no rewriting existing modules

2026-08-10 09:32:24 +00:00

qwen3coder_tool_parser.py

refactor(tool_parser): CCCL agent_radix_sort_downsweep union TempStorage — phased state

2026-08-08 07:02:22 +00:00

registry.py

[ARCH] Eliminate 2 more patch scripts — registry.py + tool_parsers __init__.py

2026-08-05 08:36:52 +00:00

sampler.py

[BASE] qwen3_6_scripts/sampler.py: CCCL topk unsorted output optimization

2026-08-06 02:55:51 +00:00

scheduler.py

[DEPLOY] Complete submission: baseline + all optimizations

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

sequence.py

[DEPLOY] Complete submission: baseline + all optimizations

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

serving_chat.py

fix(CRITICAL): CoreXGDN interface mismatch + engine death protection

2026-08-10 09:51:58 +00:00

tool_parsers_init.py

[ARCH] Eliminate 2 more patch scripts — registry.py + tool_parsers __init__.py

2026-08-05 08:36:52 +00:00

verify_functional.py

fix(verify): remove duplicate TC-22~30 test definitions — CCCL test_then.cu audit

2026-08-07 06:36:12 +00:00

xformers.py

feat(xformers): replace Q-only tiling with Q+KV tiling + online softmax

2026-08-07 01:54:52 +00:00