Update install_requirements.sh #477
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| name: Run runner-aoti CUDA tests | ||
| on: | ||
| pull_request: | ||
| push: | ||
| branches: | ||
| - main | ||
| workflow_dispatch: | ||
| jobs: | ||
| test-cuda: | ||
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | ||
| with: | ||
| runner: linux.g5.4xlarge.nvidia.gpu | ||
| gpu-arch-type: cuda | ||
| gpu-arch-version: "12.1" | ||
| script: | | ||
| echo "::group::Print machine info" | ||
| uname -a | ||
| echo "::endgroup::" | ||
| echo "::group::Install newer objcopy that supports --set-section-alignment" | ||
| yum install -y devtoolset-10-binutils | ||
| export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH | ||
| echo "::endgroup::" | ||
| echo "::group::Download checkpoints" | ||
| # Install requirements | ||
| ./install_requirements.sh cuda | ||
| pip3 list | ||
| python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' | ||
| echo "::endgroup::" | ||
| echo "::group::Download checkpoints" | ||
| mkdir -p checkpoints/stories15M | ||
| pushd checkpoints/stories15M | ||
| wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt | ||
| wget https://github.com/karpathy/llama2.c/raw/master/tokenizer.model | ||
| popd | ||
| echo "::endgroup::" | ||
| echo "::group::Run inference" | ||
| export MODEL_PATH=checkpoints/stories15M/stories15M.pt | ||
| export MODEL_NAME=stories15M | ||
| export MODEL_DIR=/tmp | ||
| - name: Install dependencies | ||
| run: | | ||
| ./install_requirements.sh | ||
| pip3 list | ||
| python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' | ||
| bash scripts/build_native.sh aoti | ||
| - name: Download checkpoint | ||
| run: | | ||
| mkdir -p checkpoints/stories15M | ||
| pushd checkpoints/stories15M | ||
| wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt | ||
| wget https://github.com/karpathy/llama2.c/raw/master/tokenizer.model | ||
| wget https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin | ||
| popd | ||
| - name: Run inference | ||
| run: | | ||
| set -eou pipefail | ||
| export MODEL_DIR=${PWD}/checkpoints/stories15M | ||
| export PROMPT="Once upon a time in a land far away" | ||
| for DTYPE in bfloat16; do | ||
| python torchchat.py generate --dtype ${DTYPE} --checkpoint-path ${MODEL_DIR}/stories15M.pt --temperature 0 --prompt "${PROMPT}" --device cuda | ||
| python torchchat.py export --checkpoint-path ${MODEL_DIR}/stories15M.pt --output-dso-path /tmp/model.so | ||
| ./cmake-out/aoti_run /tmp/model.so -z ${MODEL_DIR}/tokenizer.bin -i "${PROMPT}" | ||
| echo "**********************************************" | ||
| echo "******** INT4 HQQ group-wise quantized *******" | ||
| echo "**********************************************" | ||
| python generate.py --dtype ${DTYPE} --device cuda --quant '{"linear:hqq" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| cat ./output_eager | ||
| python generate.py --dtype ${DTYPE} --device cuda --compile --quant '{"linear:hqq" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | ||
| cat ./output_compiled | ||
| python export.py --dtype ${DTYPE} --device cuda --quant '{"linear:hqq" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --output-dso-path ${MODEL_DIR}/${MODEL_NAME}.so | ||
| python generate.py --dtype ${DTYPE} --device cuda --checkpoint-path ${MODEL_PATH} --temperature 0 --dso-path ${MODEL_DIR}/${MODEL_NAME}.so > ./output_aoti | ||
| cat ./output_aoti | ||
| done | ||
| echo "tests complete" | ||
| echo "******************************************" | ||
| echo "::endgroup::" | ||
