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视频网站自己怎么做,建设政协网站的意义,中山大兴网站建设,中国建筑设计文章目录 查看和升级pytorch到指定版本查看pytorch的版本python 命令查看pytorch的版本使用pip 命令查看当前安装的PyTorch版本升级PyTorch到指定版本 升级到特定的版本 查看和升级pytorch到指定版本 查看pytorch的版本 python 命令查看pytorch的版本 通过Python的包管理工具… 文章目录 查看和升级pytorch到指定版本查看pytorch的版本python 命令查看pytorch的版本使用pip 命令查看当前安装的PyTorch版本升级PyTorch到指定版本 升级到特定的版本 查看和升级pytorch到指定版本 查看pytorch的版本 python 命令查看pytorch的版本 通过Python的包管理工具pip来完成 命令 python -c import torch; print(torch.version) 或者 python import torch print(torch.version)例 rootautodl-container-616f40a3b3-41cb82d9:/autodl-tmp/LLM# python Python 3.8.10 (default, Jun 4 2021, 15:09:15) [GCC 7.5.0] :: Anaconda, Inc. on linux Type help, copyright, credits or license for more information.import torchprint(torch.version) 1.7.0cu110使用pip 命令查看当前安装的PyTorch版本 命令 pip show torch例 rootautodl-container-616f40a3b3-41cb82d9:# pip show torch Name: torch Version: 1.7.0cu110 Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration Home-page: https://pytorch.org/ Author: PyTorch Team Author-email: packagespytorch.org License: BSD-3 Location: /root/miniconda3/lib/python3.8/site-packages Requires: dataclasses, numpy, typing-extensions, future Required-by: torchvision rootautodl-container-616f40a3b3-41cb82d9:# conda环境可以使用 conda list torch例 rootautodl-container-616f40a3b3-41cb82d9:/autodl-tmp/LLM# conda list torch

packages in environment at /root/miniconda3:

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Name Version Build Channel

torch 1.7.0cu110 pypi_0 pypi torchvision 0.8.1cu110 pypi_0 pypi rootautodl-container-616f40a3b3-41cb82d9:/autodl-tmp/LLM# 升级PyTorch到指定版本 升级到特定的版本 使用pip升级到PyTorch的某个特定版本例如2.3.1 pip install –upgrade torchpip install –upgrade torch版本例 rootautodl-container-616f40a3b3-41cb82d9:/autodl-tmp/LLM# pip install –upgrade torch2.3.1 Looking in indexes: http://mirrors.aliyun.com/pypi/simple Collecting torch2.3.1Downloading http://mirrors.aliyun.com/pypi/packages/c0/7e/309d63c6330a0b821a6f55e06dcef6704a7ab8b707534a4923837570624e/torch-2.3.1-cp38-cp38-manylinux1_x86_64.whl (779.1 MB)|████████████████████████████████| 779.1 MB 11.8 MB/s Collecting nvidia-nccl-cu122.20.5Downloading http://mirrors.aliyun.com/pypi/packages/4b/2a/0a131f572aa09f741c30ccd45a8e56316e8be8dfc7bc19bf0ab7cfef7b19/nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB)|████████████████████████████████| 176.2 MB 5.1 MB/s Requirement already satisfied: filelock in /root/miniconda3/lib/python3.8/site-packages (from torch2.3.1) (3.16.1) Collecting nvidia-cudnn-cu128.9.2.26Downloading http://mirrors.aliyun.com/pypi/packages/ff/74/a2e2be7fb83aaedec84f391f082cf765dfb635e7caa9b49065f73e4835d8/nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)|████████████████████████████████| 731.7 MB 5.1 MB/s Collecting nvidia-cuda-nvrtc-cu1212.1.105Downloading http://mirrors.aliyun.com/pypi/packages/b6/9f/c64c03f49d6fbc56196664d05dba14e3a561038a81a638eeb47f4d4cfd48/nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)|████████████████████████████████| 23.7 MB 15.5 MB/s Requirement already satisfied: fsspec in /root/miniconda3/lib/python3.8/site-packages (from torch2.3.1) (2024.9.0) Requirement already satisfied: jinja2 in /root/miniconda3/lib/python3.8/site-packages (from torch2.3.1) (3.0.1) Collecting nvidia-cufft-cu1211.0.2.54Downloading http://mirrors.aliyun.com/pypi/packages/86/94/eb540db023ce1d162e7bea9f8f5aa781d57c65aed513c33ee9a5123ead4d/nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)|████████████████████████████████| 121.6 MB 15.3 MB/s Collecting sympyDownloading http://mirrors.aliyun.com/pypi/packages/99/ff/c87e0622b1dadea79d2fb0b25ade9ed98954c9033722eb707053d310d4f3/sympy-1.13.3-py3-none-any.whl (6.2 MB)|████████████████████████████████| 6.2 MB 5.3 MB/s Collecting networkxDownloading http://mirrors.aliyun.com/pypi/packages/a8/05/9d4f9b78ead6b2661d6e8ea772e111fc4a9fbd866ad0c81906c11206b55e/networkx-3.1-py3-none-any.whl (2.1 MB)|████████████████████████████████| 2.1 MB 8.3 MB/s Collecting nvidia-cuda-cupti-cu1212.1.105Downloading http://mirrors.aliyun.com/pypi/packages/7e/00/6b218edd739ecfc60524e585ba8e6b00554dd908de2c9c66c1af3e44e18d/nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)|████████████████████████████████| 14.1 MB 4.9 MB/s Collecting nvidia-curand-cu1210.3.2.106Downloading http://mirrors.aliyun.com/pypi/packages/44/31/4890b1c9abc496303412947fc7dcea3d14861720642b49e8ceed89636705/nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)|████████████████████████████████| 56.5 MB 5.4 MB/s Collecting typing-extensions4.8.0Downloading http://mirrors.aliyun.com/pypi/packages/26/9f/ad63fc0248c5379346306f8668cda6e2e2e9c95e01216d2b8ffd9ff037d0/typing_extensions-4.12.2-py3-none-any.whl (37 kB) Collecting nvidia-cusolver-cu1211.4.5.107Downloading http://mirrors.aliyun.com/pypi/packages/bc/1d/8de1e5c67099015c834315e333911273a8c6aaba78923dd1d1e25fc5f217/nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)|████████████████████████████████| 124.2 MB 4.0 MB/s Collecting nvidia-cusparse-cu1212.1.0.106Downloading http://mirrors.aliyun.com/pypi/packages/65/5b/cfaeebf25cd9fdec14338ccb16f6b2c4c7fa9163aefcf057d86b9cc248bb/nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)|████████████████████████████████| 196.0 MB 5.6 MB/s Collecting nvidia-cublas-cu1212.1.3.1Downloading http://mirrors.aliyun.com/pypi/packages/37/6d/121efd7382d5b0284239f4ab1fc1590d86d34ed4a4a2fdb13b30ca8e5740/nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)|████████████████████████████████| 410.6 MB 6.8 MB/s Collecting triton2.3.1Downloading http://mirrors.aliyun.com/pypi/packages/d3/55/45b3882019a8d69ad73b5b2bd1714cb2d6653b39e7376b7ac5accf745760/triton-2.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (168.0 MB)|████████████████████████████████| 168.0 MB 4.3 MB/s Collecting nvidia-nvtx-cu1212.1.105Downloading http://mirrors.aliyun.com/pypi/packages/da/d3/8057f0587683ed2fcd4dbfbdfdfa807b9160b809976099d36b8f60d08f03/nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)|████████████████████████████████| 99 kB 9.7 MB/s Collecting nvidia-cuda-runtime-cu1212.1.105Downloading http://mirrors.aliyun.com/pypi/packages/eb/d5/c68b1d2cdfcc59e72e8a5949a37ddb22ae6cade80cd4a57a84d4c8b55472/nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)|████████████████████████████████| 823 kB 9.3 MB/s Collecting nvidia-nvjitlink-cu12Downloading http://mirrors.aliyun.com/pypi/packages/a8/48/a9775d377cb95585fb188b469387f58ba6738e268de22eae2ad4cedb2c41/nvidia_nvjitlink_cu12-12.6.68-py3-none-manylinux2014_x86_64.whl (19.7 MB)|████████████████████████████████| 19.7 MB 5.8 MB/s Requirement already satisfied: MarkupSafe2.0 in /root/miniconda3/lib/python3.8/site-packages (from jinja2-torch2.3.1) (2.0.1) Collecting mpmath1.4,1.1.0Downloading http://mirrors.aliyun.com/pypi/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl (536 kB)|████████████████████████████████| 536 kB 6.2 MB/s Installing collected packages: nvidia-nvjitlink-cu12, nvidia-cusparse-cu12, nvidia-cublas-cu12, mpmath, typing-extensions, triton, sympy, nvidia-nvtx-cu12, nvidia-nccl-cu12, nvidia-cusolver-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, networkx, torchAttempting uninstall: typing-extensionsFound existing installation: typing-extensions 3.10.0.2Uninstalling typing-extensions-3.10.0.2:Successfully uninstalled typing-extensions-3.10.0.2Attempting uninstall: torchFound existing installation: torch 1.7.0cu110Uninstalling torch-1.7.0cu110:Successfully uninstalled torch-1.7.0cu110 ERROR: pips dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. torchvision 0.8.1cu110 requires torch1.7.0, but you have torch 2.3.1 which is incompatible. Successfully installed mpmath-1.3.0 networkx-3.1 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.6.68 nvidia-nvtx-cu12-12.1.105 sympy-1.13.3 torch-2.3.1 triton-2.3.1 typing-extensions-4.12.2 WARNING: Running pip as the root user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv rootautodl-container-616f40a3b3-41cb82d9:/autodl-tmp/LLM# rootautodl-container-616f40a3b3-41cb82d9:/autodl-tmp/LLM# python -c import torch; print(torch.version) 2.3.1cu121 rootautodl-container-616f40a3b3-41cb82d9:~/autodl-tmp/LLM#