feat(train): add AUTO_FREE_GPUS mode to train_multi_gpu.sh - #12
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Automatically restrict CUDA_VISIBLE_DEVICES to GPUs with used memory below FREE_GPU_MEM_MB (default 500 MiB) when AUTO_FREE_GPUS=1. Prevents multiple training jobs from interfering on shared hardware. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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What
scripts/train_multi_gpu.shgains two new env vars:AUTO_FREE_GPUS=1— before launching torchrun, querynvidia-smifor per-GPU memory usage and setCUDA_VISIBLE_DEVICESto the GPUs whose used memory is underFREE_GPU_MEM_MB.FREE_GPU_MEM_MB(default500) — the "free" threshold in MiB.NPROC_PER_NODEis derived from the count of surviving GPUs so torchrun uses only those.Why
The 8x A100 box is shared with other running jobs (currently GPU 0 and GPU 2 are in use). Kicking off a naive
NPROC_PER_NODE=8DDP run would OOM those GPUs or trample the neighbors. This mode picks up only the idle GPUs so multiple training jobs coexist safely on the same host.Test plan
detect_free_gpus 500on the current box returns1,3,4,5,6,7(skips busy GPU 0 and 2)AUTO_FREE_GPUS=1and confirmCUDA_VISIBLE_DEVICESis set and torchrun uses only the free 6 GPUs🤖 Generated with Claude Code