Upgrade to CUDA 12 (#1527)
Co-authored-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
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4
.github/workflows/publish.yml
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4
.github/workflows/publish.yml
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@ -49,8 +49,8 @@ jobs:
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matrix:
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os: ['ubuntu-20.04']
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python-version: ['3.8', '3.9', '3.10', '3.11']
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pytorch-version: ['2.0.1']
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cuda-version: ['11.8'] # Github runner can't build anything older than 11.8
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pytorch-version: ['2.1.0']
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cuda-version: ['12.1']
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steps:
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- name: Checkout
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3
.github/workflows/scripts/build.sh
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3
.github/workflows/scripts/build.sh
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@ -11,5 +11,8 @@ LD_LIBRARY_PATH=${cuda_home}/lib64:$LD_LIBRARY_PATH
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$python_executable -m pip install wheel packaging
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$python_executable -m pip install -r requirements.txt
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# Limit the number of parallel jobs to avoid OOM
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export MAX_JOBS=1
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# Build
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$python_executable setup.py bdist_wheel --dist-dir=dist
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5
.github/workflows/scripts/cuda-install.sh
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5
.github/workflows/scripts/cuda-install.sh
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@ -16,3 +16,8 @@ sudo apt clean
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# Test nvcc
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PATH=/usr/local/cuda-$1/bin:${PATH}
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nvcc --version
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# Log gcc, g++, c++ versions
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gcc --version
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g++ --version
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c++ --version
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@ -3,7 +3,7 @@ requires = [
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"ninja",
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"packaging",
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"setuptools",
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"torch == 2.0.1",
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"torch >= 2.1.0",
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"wheel",
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]
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build-backend = "setuptools.build_meta"
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@ -5,9 +5,9 @@ pandas # Required for Ray data.
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pyarrow # Required for Ray data.
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sentencepiece # Required for LLaMA tokenizer.
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numpy
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torch == 2.0.1
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torch >= 2.1.0
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transformers >= 4.34.0 # Required for Mistral.
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xformers == 0.0.22 # Required for Mistral.
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xformers >= 0.0.22.post7 # Required for CUDA 12.1.
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fastapi
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uvicorn[standard]
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pydantic == 1.10.13 # Required for OpenAI server.
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