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](#python 命令查看pytorch的版本)
- [使用pip 命令查看当前安装的PyTorch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：
clike
python -c "import torch; print(torch.__version__)"
或者
python
import torch
print(torch.__version__)例：
clike
root@autodl-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 torch
>>> print(torch.__version__)
1.7.0+cu110
>>> 使用pip 命令查看当前安装的PyTorch版本
命令：
clike
pip show torch例：
clike
root@autodl-container-616f40a3b3-41cb82d9:~# pip show torch
Name: torch
Version: 1.7.0+cu110
Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
Home-page: https://pytorch.org/
Author: PyTorch Team
Author-email: packages@pytorch.org
License: BSD-3
Location: /root/miniconda3/lib/python3.8/site-packages
Requires: dataclasses, numpy, typing-extensions, future
Required-by: torchvision
root@autodl-container-616f40a3b3-41cb82d9:~# conda环境可以使用：
clike
conda list torch例：
clike
root@autodl-container-616f40a3b3-41cb82d9:~/autodl-tmp/LLM# conda list torch
# packages in environment at /root/miniconda3:
#
# Name Version Build Channel
torch 1.7.0+cu110 pypi_0 pypi
torchvision 0.8.1+cu110 pypi_0 pypi
root@autodl-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）
clike
pip install --upgrade torch
pip install --upgrade torch==<版本>例：
clike
root@autodl-container-616f40a3b3-41cb82d9:~/autodl-tmp/LLM# pip install --upgrade torch==2.3.1
Looking in indexes: http://mirrors.aliyun.com/pypi/simple
Collecting torch==2.3.1
Downloading 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-cu12==2.20.5
Downloading 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 torch==2.3.1) (3.16.1)
Collecting nvidia-cudnn-cu12==8.9.2.26
Downloading 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-cu12==12.1.105
Downloading 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 torch==2.3.1) (2024.9.0)
Requirement already satisfied: jinja2 in /root/miniconda3/lib/python3.8/site-packages (from torch==2.3.1) (3.0.1)
Collecting nvidia-cufft-cu12==11.0.2.54
Downloading 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 sympy
Downloading 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 networkx
Downloading 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-cu12==12.1.105
Downloading 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-cu12==10.3.2.106
Downloading 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-extensions>=4.8.0
Downloading http://mirrors.aliyun.com/pypi/packages/26/9f/ad63fc0248c5379346306f8668cda6e2e2e9c95e01216d2b8ffd9ff037d0/typing_extensions-4.12.2-py3-none-any.whl (37 kB)
Collecting nvidia-cusolver-cu12==11.4.5.107
Downloading 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-cu12==12.1.0.106
Downloading 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-cu12==12.1.3.1
Downloading 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 triton==2.3.1
Downloading 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-cu12==12.1.105
Downloading 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-cu12==12.1.105
Downloading 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-cu12
Downloading 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: MarkupSafe>=2.0 in /root/miniconda3/lib/python3.8/site-packages (from jinja2->torch==2.3.1) (2.0.1)
Collecting mpmath<1.4,>=1.1.0
Downloading 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, torch
Attempting uninstall: typing-extensions
Found existing installation: typing-extensions 3.10.0.2
Uninstalling typing-extensions-3.10.0.2:
Successfully uninstalled typing-extensions-3.10.0.2
Attempting uninstall: torch
Found existing installation: torch 1.7.0+cu110
Uninstalling torch-1.7.0+cu110:
Successfully uninstalled torch-1.7.0+cu110
ERROR: pip's 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 0.8.1+cu110 requires torch==1.7.0, 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
root@autodl-container-616f40a3b3-41cb82d9:~/autodl-tmp/LLM#
root@autodl-container-616f40a3b3-41cb82d9:~/autodl-tmp/LLM# python -c "import torch; print(torch.__version__)"
2.3.1+cu121
root@autodl-container-616f40a3b3-41cb82d9:~/autodl-tmp/LLM#