Based on a3c45d3b (last known working docker build):
- yaml: max-num-seqs=2 (fixes t2_n_2), TOPK_SOFTMAX=1 (use prebuilt .so)
- yaml: keep max-model-len=131072, gpu-mem=0.90 (prevents OOM)
- yaml: NO LD_PRELOAD (libcccl not built during docker build)
- xformers: revert to Q-tiling only (flash_attn caused OOM at profiling)
- .dockerignore: exclude all non-essential files from context
- remove libcccl_allocator.so from git tracking
What stays from recent work:
- 14 prebuilt .so (including corex_gdn_chunk_recurrent)
- qwen3_5.py with .float() fix and chunk_recurrent support
- All vendor_overrides and CCCL preload source (for future use)
42 lines
597 B
Plaintext
42 lines
597 B
Plaintext
**/__pycache__
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**/*.pyc
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**/.git
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cccl_upstream/
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upstream_ref/
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vllm/
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ixformer_sdk/
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muh/
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ex_engine/
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*.zip
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enginex-vllm-bi100-qwen36-main.zip
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dockerrizhi.txt
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subrizhi.txt
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docs/
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optimizations/
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vllm_adapter/
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vllm_overrides/
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*.md
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verify_*.py
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verify_*.sh
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test_*.py
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debug_*.py
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probe_*.py
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probe_*.sh
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diagnose_*.sh
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cat_*.py
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attention.py
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paged_attention_v2_*.py
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paged_attn.py
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prefix_prefill.py
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engine_cccl_patterns.py
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deltanet_chunk_optimize.py
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muh_*.py
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__init__.py
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chat_dataset_v0.json
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cccl_sm100_benchmark_values.json
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baseline.muh
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launch_service
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Dockerfile.*
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computility-run.*.yaml
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computility-run.yaml.bak
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