gpuq: bucket-backed per-GPU job queue (worker loop + submit/status helper)
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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#!/bin/bash
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# Per-GPU work queue worker, fed from the S3 bucket (rclone remote "jspace").
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#
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# Usage: gpuq_worker.sh <worker-id> <gpu-index>
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# e.g.: gpuq_worker.sh node1-gpu3 3
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# Run ONE per GPU, each in its own tmux window:
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# tmux new-window -t ssh_tmux -n gpuq3 'bash ~/jspace/scripts/gpuq_worker.sh node1-gpu3 3'
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#
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# Queue layout (per worker, race-free by construction — no work stealing):
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# jspace:jspace/gpuq/<worker-id>/pending/<job>.sh submitted jobs
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# jspace:jspace/gpuq/<worker-id>/done/<job>.sh|.log finished jobs + logs
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# Jobs run oldest-first by name — prefix with 00_, 01_, ... to order them.
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#
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# Job contract: plain bash, repo at ~/jspace, venv at ~/jspace/.venv (or
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# /venv/main on vast images — job script picks), CUDA_VISIBLE_DEVICES is set
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# by the worker. Job handles its own LOOP_OUT / result rclone if needed.
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set -u
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ID=$1
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GPU=$2
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Q="jspace:jspace/gpuq/$ID"
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LOCAL="$HOME/gpuq/$ID"
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mkdir -p "$LOCAL/pending"
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echo "[gpuq $ID] worker up on GPU $GPU, polling $Q/pending"
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while true; do
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rclone move "$Q/pending" "$LOCAL/pending" --include "*.sh" -q 2>/dev/null
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job=$(ls "$LOCAL"/pending/*.sh 2>/dev/null | sort | head -1)
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if [ -z "$job" ]; then
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sleep 20
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continue
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fi
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name=$(basename "$job" .sh)
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echo "[gpuq $ID] $(date +%F_%H:%M:%S) START $name"
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CUDA_VISIBLE_DEVICES=$GPU bash "$job" > "$LOCAL/$name.log" 2>&1
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rc=$?
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echo "[gpuq $ID] $(date +%F_%H:%M:%S) DONE $name rc=$rc"
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echo "rc=$rc" >> "$LOCAL/$name.log"
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rclone copy "$LOCAL/$name.log" "$Q/done/" -q
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rclone moveto "$job" "$Q/done/$name.sh" -q
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done
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