Fix CI and validation scripts #516
Workflow file for this run
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name: Run compile 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 | |
if [ $(uname -s) == Darwin ]; then | |
sysctl machdep.cpu.brand_string | |
sysctl machdep.cpu.core_count | |
fi | |
echo "::endgroup::" | |
echo "::group::Download checkpoints" | |
# Install requirements | |
pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu121 | |
pip install -r requirements.txt | |
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 | |
python generate.py --device cuda --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | |
cat ./output_eager | |
python generate.py --device cuda --compile --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | |
cat ./output_compiled | |
python export.py --device cuda --checkpoint-path ${MODEL_PATH} --output-dso-path ${MODEL_DIR}/${MODEL_NAME}.so | |
python generate.py --device cuda --checkpoint-path ${MODEL_PATH} --temperature 0 --dso-path ${MODEL_DIR}/${MODEL_NAME}.so > ./output_aoti | |
cat ./output_aoti | |
echo "******************************************" | |
echo "******* Emb: channel-wise quantized ******" | |
echo "******************************************" | |
# python generate.py --device cuda --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | |
# cat ./output_eager | |
# python generate.py --device cuda --compile --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | |
# cat ./output_compiled | |
# python export.py --device cuda --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --output-dso-path ${MODEL_DIR}/${MODEL_NAME}.so | |
# python generate.py --device cuda --checkpoint-path ${MODEL_PATH} --temperature 0 --dso-path ${MODEL_DIR}/${MODEL_NAME}.so > ./output_aoti | |
# cat ./output_aoti | |
echo "******************************************" | |
echo "******** Emb: group-wise quantized *******" | |
echo "******************************************" | |
# python generate.py --device cuda --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | |
# cat ./output_eager | |
# python generate.py --device cuda --compile --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | |
# cat ./output_compiled | |
# python export.py --device cuda --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --output-dso-path ${MODEL_DIR}/${MODEL_NAME}.so | |
# python generate.py --device cuda --checkpoint-path ${MODEL_PATH} --temperature 0 --dso-path ${MODEL_DIR}/${MODEL_NAME}.so > ./output_aoti | |
# cat ./output_aoti | |
echo "******************************************" | |
echo "******* INT8 channel-wise quantized ******" | |
echo "******************************************" | |
# python generate.py --device cuda --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | |
# cat ./output_eager | |
# python generate.py --device cuda --compile --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | |
# cat ./output_compiled | |
# python export.py --device cuda --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --output-dso-path ${MODEL_DIR}/${MODEL_NAME}.so | |
# python generate.py --device cuda --checkpoint-path ${MODEL_PATH} --temperature 0 --dso-path ${MODEL_DIR}/${MODEL_NAME}.so > ./output_aoti | |
# cat ./output_aoti | |
echo "******************************************" | |
echo "******** INT8 group-wise quantized *******" | |
echo "******************************************" | |
# python generate.py --device cuda --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | |
# cat ./output_eager | |
# python generate.py --device cuda --compile --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | |
# cat ./output_compiled | |
# python export.py --device cuda --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --output-dso-path ${MODEL_DIR}/${MODEL_NAME}.so | |
# python generate.py --device cuda --checkpoint-path ${MODEL_PATH} --temperature 0 --dso-path ${MODEL_DIR}/${MODEL_NAME}.so > ./output_aoti | |
# cat ./output_aoti | |
echo "tests complete" | |
echo "******************************************" | |
echo "::endgroup::" | |
# echo "********* EAGER vs TORCH.COMPILE *********" | |
# echo "******************************************" | |
# diff output_eager output_compiled | |
# echo "******************************************" | |
# echo "********* EAGER vs AOT INDUCTOR *********" | |
# echo "******************************************" | |
# diff output_eager output_aoti |