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Author	SHA1	Message	Date
dylanyunlon	327f9fbf40	[ARCH] Eliminate AST patch scripts — full file replacements only Deleted approach: patch_model_runner.py, patch_xformers_sdpa_seq.py did blind string replacement on base image files without reading full context. New approach: read complete base source files from vllm/, apply fixes with full context understanding, output complete modified files to qwen3_6_scripts/. Files now replaced as complete copies (not patched): - model_runner.py (1932 lines): prefix_cache_hit=False for Case 1 - xformers.py (821+80 lines): _run_sdpa_fallback + head_size>128 dispatch - arg_utils.py (1143 lines): disable auto chunked-prefill for 32K+ - logits_processor.py (157 lines): seq_groups=None guard patch_ops.sh rewritten: all python3 ./patch_*.py calls replaced with cp. Remaining python3 calls: patch_transformers_qwen3_5.py, patch_vllm_qwen3_5.py, patch_vllm_tool_parser.py — these register new model/parser classes in __init__.py files, which is additive (not modification of existing code).	2026-08-05 08:24:43 +00:00
dylanyunlon	ef6abf3dc7	[DEPLOY] Complete submission: baseline + all optimizations Adds ALL files needed for Dockerfile build: - qwen3_6_scripts/ (baseline patches + our optimizations) - vllm/ (full vllm package) - paged_attention_v2_pytorch.py (V2 with single-bmm optimization) - Dockerfile + computility-run.yaml Our optimizations vs baseline: 1. paged_attn.py: pre-gathered context KV (eliminates 194 gather calls), Triton try/fallback, V2 heuristic, threshold 32K→64K 2. paged_attention_v2_pytorch.py: fills NotImplementedError, single-bmm Phase 1 (195 launches → 3) 3. patch_enable_triton.py: HAS_TRITON=True with safety fallback 4. patch_triton_tuning.py: BLOCK=64, NUM_WARPS=4 for BI-V100 5. computility-run.yaml: gpu-memory-utilization 0.9→0.95, max-num-batched-tokens 8192→16384 This repo can now be submitted to dev.modelhub.org.cn as-is.	2026-07-30 16:06:20 +00:00

Author

SHA1

Message

Date

dylanyunlon

327f9fbf40

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

Deleted approach: patch_model_runner.py, patch_xformers_sdpa_seq.py did
blind string replacement on base image files without reading full context.

New approach: read complete base source files from vllm/, apply fixes with
full context understanding, output complete modified files to qwen3_6_scripts/.

Files now replaced as complete copies (not patched):
  - model_runner.py (1932 lines): prefix_cache_hit=False for Case 1
  - xformers.py (821+80 lines): _run_sdpa_fallback + head_size>128 dispatch
  - arg_utils.py (1143 lines): disable auto chunked-prefill for 32K+
  - logits_processor.py (157 lines): seq_groups=None guard

patch_ops.sh rewritten: all python3 ./patch_*.py calls replaced with cp.
Remaining python3 calls: patch_transformers_qwen3_5.py, patch_vllm_qwen3_5.py,
patch_vllm_tool_parser.py — these register new model/parser classes in
__init__.py files, which is additive (not modification of existing code).

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

dylanyunlon

ef6abf3dc7

[DEPLOY] Complete submission: baseline + all optimizations

Adds ALL files needed for Dockerfile build:
  - qwen3_6_scripts/ (baseline patches + our optimizations)
  - vllm/ (full vllm package)
  - paged_attention_v2_pytorch.py (V2 with single-bmm optimization)
  - Dockerfile + computility-run.yaml

Our optimizations vs baseline:
  1. paged_attn.py: pre-gathered context KV (eliminates 194 gather calls),
     Triton try/fallback, V2 heuristic, threshold 32K→64K
  2. paged_attention_v2_pytorch.py: fills NotImplementedError,
     single-bmm Phase 1 (195 launches → 3)
  3. patch_enable_triton.py: HAS_TRITON=True with safety fallback
  4. patch_triton_tuning.py: BLOCK=64, NUM_WARPS=4 for BI-V100
  5. computility-run.yaml: gpu-memory-utilization 0.9→0.95,
     max-num-batched-tokens 8192→16384

This repo can now be submitted to dev.modelhub.org.cn as-is.

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

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102 Commits