mirror of https://github.com/vllm-project/vllm
[MISC] Upgrade dependency to PyTorch 2.3.1 (#5327)
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@ -49,7 +49,7 @@ 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: ['2.3.0'] # Must be the most recent version that meets requirements-cuda.txt.
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pytorch-version: ['2.3.1'] # Must be the most recent version that meets requirements-cuda.txt.
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cuda-version: ['11.8', '12.1']
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steps:
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@ -32,7 +32,7 @@ set(HIP_SUPPORTED_ARCHS "gfx906;gfx908;gfx90a;gfx940;gfx941;gfx942;gfx1030;gfx11
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# requirements.txt files and should be kept consistent. The ROCm torch
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# versions are derived from Dockerfile.rocm
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#
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set(TORCH_SUPPORTED_VERSION_CUDA "2.3.0")
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set(TORCH_SUPPORTED_VERSION_CUDA "2.3.1")
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set(TORCH_SUPPORTED_VERSION_ROCM "2.4.0")
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#
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@ -5,7 +5,7 @@ requires = [
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"ninja",
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"packaging",
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"setuptools >= 49.4.0",
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"torch == 2.3.0",
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"torch == 2.3.1",
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"wheel",
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]
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build-backend = "setuptools.build_meta"
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@ -3,5 +3,5 @@ cmake>=3.21
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ninja
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packaging
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setuptools>=49.4.0
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torch==2.3.0
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torch==2.3.1
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wheel
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@ -4,8 +4,8 @@
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# Dependencies for NVIDIA GPUs
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ray >= 2.9
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nvidia-ml-py # for pynvml package
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torch == 2.3.0
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torch == 2.3.1
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# These must be updated alongside torch
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torchvision == 0.18.0 # Required for phi3v processor, also see https://github.com/pytorch/vision?tab=readme-ov-file#installation for corresponding version
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xformers == 0.0.26.post1 # Requires PyTorch 2.3.0
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vllm-flash-attn == 2.5.9 # Requires PyTorch 2.3.0
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torchvision == 0.18.1 # Required for phi3v processor. See https://github.com/pytorch/vision?tab=readme-ov-file#installation for corresponding version
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xformers == 0.0.27 # Requires PyTorch 2.3.1
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vllm-flash-attn == 2.5.9.post1 # Requires PyTorch 2.3.1
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