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| name: Compile main | ||
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| on: | ||
| push: | ||
| branches: | ||
| - main | ||
| pull_request: | ||
| workflow_dispatch: | ||
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| jobs: | ||
| run-tinystories: | ||
| strategy: | ||
| matrix: | ||
| include: | ||
| - name: CUDA Nightly | ||
| runs-on: 4-core-ubuntu-gpu-t4 | ||
| runs-on: ${{matrix.runner}} | ||
| steps: | ||
| - name: Checkout repo | ||
| uses: actions/checkout@v2 | ||
| - name: Setup Python | ||
| uses: actions/setup-python@v2 | ||
| with: | ||
| python-version: 3.11 | ||
| - name: Print machine info | ||
| run: | | ||
| uname -a | ||
| if [ $(uname -s) == Darwin ]; then | ||
| sysctl machdep.cpu.brand_string | ||
| sysctl machdep.cpu.core_count | ||
| fi | ||
| - name: Install requirements | ||
| run: | | ||
| pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu121 | ||
| pip install -r requirements.txt | ||
| - name: Download checkpoints | ||
| 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 | ||
| popd | ||
| - name: Run inference | ||
| run: | | ||
| 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, "group_size": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| cat ./output_eager | ||
| python generate.py --device cuda --compile --quant '{"embedding" : {"bitwidth": 8, "group_size": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | ||
| cat ./output_compiled | ||
| python export.py --quant '{"embedding" : {"bitwidth": 8, "group_size": 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, "group_size": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| cat ./output_eager | ||
| python generate.py --device cuda --compile --quant '{"embedding" : {"bitwidth": 8, "group_size": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | ||
| cat ./output_compiled | ||
| python export.py --quant '{"embedding" : {"bitwidth": 8, "group_size": 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, "group_size": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| cat ./output_eager | ||
| python generate.py --device cuda --compile --quant '{"linear:int8" : {"bitwidth": 8, "group_size": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | ||
| cat ./output_compiled | ||
| python export.py --quant '{"linear:int8" : {"bitwidth": 8, "group_size": 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, "group_size": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| cat ./output_eager | ||
| python generate.py --device cuda --compile --quant '{"linear:int8" : {"bitwidth": 8, "group_size": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | ||
| cat ./output_compiled | ||
| python export.py --quant '{"linear:int8" : {"bitwidth": 8, "group_size": 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 | ||
|
|
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| echo "tests complete" | ||
| echo "******************************************" | ||
| # echo "********* EAGER vs TORCH.COMPILE *********" | ||
| # echo "******************************************" | ||
| # diff output_eager output_compiled | ||
| # echo "******************************************" | ||
| # echo "********* EAGER vs AOT INDUCTOR *********" | ||
| # echo "******************************************" | ||
| # diff output_eager output_aoti |