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32 lines
1.7 KiB
Plaintext
32 lines
1.7 KiB
Plaintext
# Common dependencies
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-r common.txt
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numba == 0.60.0; python_version == '3.9' and platform_machine != "s390x" # v0.61 doesn't support Python 3.9. Required for N-gram speculative decoding
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numba == 0.61.2; python_version > '3.9' and platform_machine != "s390x"
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# Dependencies for CPUs
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packaging>=24.2
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setuptools>=77.0.3,<80.0.0
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--extra-index-url https://download.pytorch.org/whl/cpu
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torch==2.6.0+cpu; platform_machine == "x86_64" # torch>2.6.0+cpu has performance regression on x86 platform, see https://github.com/pytorch/pytorch/pull/151218
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torch==2.7.0; platform_system == "Darwin"
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torch==2.7.0; platform_machine == "ppc64le"
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torch==2.6.0; platform_machine == "aarch64" # for arm64 CPUs, torch 2.7.0 has a issue: https://github.com/vllm-project/vllm/issues/17960
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# required for the image processor of minicpm-o-2_6, this must be updated alongside torch
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torchaudio; platform_machine != "ppc64le" and platform_machine != "s390x"
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torchaudio==2.7.0; platform_machine == "ppc64le"
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# required for the image processor of phi3v, this must be updated alongside torch
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torchvision; platform_machine != "ppc64le" and platform_machine != "s390x"
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torchvision==0.22.0; platform_machine == "ppc64le"
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datasets # for benchmark scripts
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# Intel Extension for PyTorch, only for x86_64 CPUs
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intel-openmp==2024.2.1; platform_machine == "x86_64"
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intel_extension_for_pytorch==2.6.0; platform_machine == "x86_64" # torch>2.6.0+cpu has performance regression on x86 platform, see https://github.com/pytorch/pytorch/pull/151218
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triton==3.2.0; platform_machine == "x86_64" # Triton is required for torch 2.6+cpu, as it is imported in torch.compile.
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# Use this to gather CPU info and optimize based on ARM Neoverse cores
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py-cpuinfo; platform_machine == "aarch64"
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