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10b5a3b 5e8d909 10b5a3b 5e8d909 10b5a3b 5e8d909 10b5a3b 013b182 6892422 10b5a3b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | #!/bin/bash
# Fallback bootstrap for running the L4 smoke test on a stock PyTorch image
# when the pre-baked dual-venv image is unavailable. Creates the same two
# isolated environments in /tmp and execs the smoke script.
#
# Usage (inside an hf jobs container):
# bash /code/scripts/bootstrap_l4.sh
set -euo pipefail
CORE=/tmp/venv_core
ALIGN=/tmp/venv_aligntune
if ! command -v uv >/dev/null 2>&1; then
pip install -q --break-system-packages uv
fi
uv venv --system-site-packages --seed "$CORE"
"$CORE/bin/pip" install --no-cache-dir \
"transformers>=5.15,<5.22" \
"trl>=0.12,<1.15" \
"peft>=0.18,<1" \
"huggingface-hub>=1.5,<2" \
"transformer-lens==3.8.0" \
"bitsandbytes>=0.41" \
"datasets>=3.0" \
"accelerate>=1.4" \
"sentencepiece" \
"protobuf" \
"scikit-learn" \
"hf_transfer" \
"curatorkit[hf,connectors]" \
"circuitkit==0.2.3" \
"safetune==0.1.18" \
"auditkit==1.1.11"
uv venv --system-site-packages --seed "$ALIGN"
"$ALIGN/bin/pip" install --no-cache-dir \
"torchvision==0.28.0" \
"transformers>=5.15,<5.22" \
"peft>=0.18,<1" \
"datasets>=4.7.0" \
"accelerate>=1.6" \
"trl==1.7.1" \
"torchao==0.18.0" \
"aligntune==0.1.35"
export ALIGNTUNE_BIN="$ALIGN/bin/aligntune"
export ALIGNTUNE_PYTHON="$ALIGN/bin/python"
export PYTORCH_CUDA_ALLOC_CONF="expandable_segments:True"
exec "$CORE/bin/python" /code/scripts/smoke_l4.py "$@"
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