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Documentation improvements #1087

Documentation improvements

Documentation improvements #1087

Workflow file for this run

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::"