Download guiact/queue2.sh from Infatoshi/mcsr-speedrun-artifacts: direct link, hf CLI and curl.
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https://huggingface.co/datasets/Infatoshi/mcsr-speedrun-artifacts/resolve/main/guiact/queue2.sh
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curl -L -o queue2.sh https://huggingface.co/datasets/Infatoshi/mcsr-speedrun-artifacts/resolve/main/guiact/queue2.sh
1.24 kB
| # lane/guiact step 4, again: each DAgger run in its own memory scope (tbench.sh -gate: 16 GB, outside the lane's 16 GB; | |
| # three runs in the lane's own scope were OOM-killed) | |
| cd $HOME/dev/mcsr-speedrun | |
| export NETHERITE=$HOME/dev/nv2-lanes/guiact UV_CACHE_DIR=$HOME/.cache/uv TMPDIR=$HOME/dev/nw/.tmp | |
| TB=$HOME/dev/netherite-v2/out/flywheel/bin/tbench.sh | |
| P="$TB 2 -gate -- /usr/bin/time -v .venv/bin/python" | |
| D=data/guiact | |
| cat > $D/queue2.jobs <<JOBS | |
| $P scripts/guihead_dagger.py --variant recipe --click-interval 1 --init data/invhead/dagger2-vpt.pt --out $D/recipe-c1.pt > $D/recipe-c1.log 2>&1 | |
| $P scripts/guihead_dagger.py --variant move --click-interval 1 --init data/invhead/dagger2-vpt.pt --out $D/move-c1.pt > $D/move-c1.log 2>&1 | |
| $P scripts/guihead_dagger.py --variant item --click-interval 1 --init data/invhead/dagger2-vpt.pt --out $D/item-c1.pt > $D/item-c1.log 2>&1 | |
| $P scripts/guihead_dagger.py --variant move --click-interval 3 --init data/invhead/dagger2-vpt.pt --out $D/move-c3.pt > $D/move-c3.log 2>&1 | |
| $P scripts/guihead_dagger.py --variant item --click-interval 3 --init data/invhead/dagger2-vpt.pt --out $D/item-c3.pt > $D/item-c3.log 2>&1 | |
| JOBS | |
| xargs -P 3 -I{} -d '\n' bash -c '{}' < $D/queue2.jobs | |
| echo QUEUE2 DONE | |