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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,76 @@ | ||
| [flake8] | ||
| select = B,C,E,F,P,W,B9,TOR0,TOR1,TOR2 | ||
| max-line-length = 120 | ||
| ignore = | ||
| # Black conflicts and overlaps. | ||
| B950, | ||
| E111, | ||
| E115, | ||
| E117, | ||
| E121, | ||
| E122, | ||
| E123, | ||
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| E704, | ||
| W291, | ||
| W292, | ||
| W293, | ||
| W391, | ||
| W504, | ||
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| # Too opinionated. | ||
| E265, | ||
| E266, | ||
| E402, | ||
| E722, | ||
| B001, | ||
| P207, | ||
| B003, | ||
| P208, | ||
| C403, | ||
| W503, | ||
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| # Bugbear has opinions: https://github.com/PyCQA/flake8-bugbear#opinionated-warnings | ||
| B904, | ||
| B905, | ||
| B906, | ||
| B907, | ||
| exclude = | ||
| ./.git, | ||
| *.pyi | ||
|
|
||
| max-complexity = 12 | ||
|
|
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,115 @@ | ||
| 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 | ||
| 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 "******* Emb: channel-wise quantized ******" | ||
| echo "******************************************" | ||
| python generate.py --dtype ${DTYPE} --device cuda --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| cat ./output_eager | ||
| python generate.py --dtype ${DTYPE} --device cuda --compile --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | ||
| cat ./output_compiled | ||
| python export.py --dtype ${DTYPE} --device cuda --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --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 "******** Emb: group-wise quantized *******" | ||
| echo "******************************************" | ||
| python generate.py --dtype ${DTYPE} --device cuda --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| cat ./output_eager | ||
| python generate.py --dtype ${DTYPE} --device cuda --compile --quant '{" embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | ||
| cat ./output_compiled | ||
| python export.py --dtype ${DTYPE} --device cuda --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --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 "******* INT8 channel-wise quantized ******" | ||
| echo "******************************************" | ||
| python generate.py --dtype ${DTYPE} --device cuda --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| cat ./output_eager | ||
| python generate.py --dtype ${DTYPE} --device cuda --compile --quant '{" linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | ||
| cat ./output_compiled | ||
| python export.py --dtype ${DTYPE} --device cuda --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --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 "******** INT8 group-wise quantized *******" | ||
| echo "******************************************" | ||
| python generate.py --dtype ${DTYPE} --device cuda --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| cat ./output_eager | ||
| python generate.py --dtype ${DTYPE} --device cuda --compile --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | ||
| cat ./output_compiled | ||
| python export.py --dtype ${DTYPE} --device cuda --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --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 group-wise quantized *******" | ||
| echo "******************************************" | ||
| python generate.py --dtype ${DTYPE} --device cuda --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| cat ./output_eager | ||
| python generate.py --dtype ${DTYPE} --device cuda --compile --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_compiled | ||
| cat ./output_compiled | ||
| python export.py --dtype ${DTYPE} --device cuda --quant '{"linear:int4" : {"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::" | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,9 @@ | ||
| name: periodic | ||
|
|
||
| on: | ||
| schedule: | ||
| - cron: '0,6,12,18 0 * * *' # Runs at midnight UTC and every 6 hours | ||
| push: | ||
| tags: | ||
| - ciflow/periodic/* | ||
| workflow_dispatch: |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,57 @@ | ||
| name: Run torchchat command tests | ||
|
|
||
| on: | ||
| push: | ||
| branches: | ||
| - main | ||
| pull_request: | ||
| workflow_dispatch: | ||
|
|
||
| jobs: | ||
| torchchat-command-load-test: | ||
| strategy: | ||
| matrix: | ||
| runner: [macos-14] | ||
| 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: | | ||
| echo "Installing pip packages" | ||
| pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cpu | ||
| pip install -r requirements.txt | ||
| - name: Download Stories files | ||
| run: | | ||
| mkdir -p checkpoints/stories15M | ||
| pushd checkpoints/stories15M | ||
| curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt | ||
| curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model | ||
| popd | ||
| - name: Test generate | ||
| run: | | ||
| export MODEL_PATH=checkpoints/stories15M/stories15M.pt | ||
| export MODEL_NAME=stories15M | ||
| export MODEL_DIR=/tmp | ||
| python generate.py --device cpu --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager1 | ||
| python torchchat.py generate --device cpu --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager2 | ||
| cat ./output_eager1 | ||
| cat ./output_eager2 | ||
| echo "Tests complete." | ||
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