run README steps from docs on MPS; also position quantization for being enabled when MPS kernels available #975
Workflow file for this run
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| name: Run HQQ 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 | |
| for DTYPE in bfloat16 float16 float32; do | |
| python generate.py --dtype ${DTYPE} --device cuda --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | |
| cat ./output_eager | |
| python generate.py --dtype ${DTYPE} --device cuda --compile --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | |
| cat ./output_compiled | |
| python export.py --dtype ${DTYPE} --device cuda --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 | |
| 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::" |