Use lintrunner across the project (#216) #540
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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 "******************************************" | |
| echo "******** INT4 group-wise quantized *******" | |
| echo "******************************************" | |
| python generate.py --device cuda --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | |
| cat ./output_eager | |
| python generate.py --device cuda --compile --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | |
| cat ./output_compiled | |
| python export.py --device cuda --quant '{"linear:int4" : {"groupsize": 32}}' --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::" | |