f2158f6cd3
Key changes: - stress_test: use torch.cuda.mem_get_info() for free memory instead of total, allocate 40% to avoid OOM when other processes occupy GPU memory - benchmark: fix D2D efficiency by comparing to NVLink per-direction bandwidth (not HBM), add H2D/D2H efficiency against PCIe peak - nccl_test: implement direct binary → mpirun → torchrun fallback chain, fix min_bw None bug when YAML value is empty - report: update memory section to use per-metric peak fields - install_deps.sh: add NCCL compatibility detection, enhance CUDA version detection with CUDA_HOME/standard paths, improve _map_cuda_tag logging - gpu_info: parse CUDA version from nvidia-smi header (query field removed in newer drivers) - health_check: parse throttle_reasons bitmask properly, ignore gpu_idle bit - gpu_tester: fix suite summary to exclude metadata keys from pass count 🤖 Generated with [Qoder][https://qoder.com]
17 lines
130 B
Plaintext
17 lines
130 B
Plaintext
__pycache__/
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*.pyc
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*.pyo
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.pytest_cache/
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*.egg-info/
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dist/
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build/
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reports/
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*.egg
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.eggs/
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*.log
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.DS_Store
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.env
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.venv/
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venv/
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.qoder/*
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