【软件使用】pycharm + win11 + conda中利用pytorch实现CNN
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环境搭建
个人记录文档,电脑系统为win11
- 安装conda和pycharm,cuda,cuDNN以及pytorch
conda和pychram安装不再赘述
cuDNN:
>复制解压后的cdDNN文件到cuda的相关安装目录即可,之后查看是否安装成功cuDNN
conda建立好环境之后安装pytorch
conda create -n pytorch_gpu python=3.9 # 利用conda创建环境
# conda create --clone foo_env --name bar_env # 将foo_env的环境复制到新环境bar_env中
# 此时需查看自己电脑安装的cuda版本(2中有示例)
pip install torch==1.10.1+cu102 torchvision==0.11.2+cu102 torchaudio==0.10.1 -f https://download.pytorch.org/whl/cu102/torch_stable.html
- 查看cuda的安装版本和位置
nvcc -V
set cuda
- 显卡为NVIDIA GTX 1660 super
- 其他电脑设置如下:
代码解释
其他知识
1. torchvision
构成:
- torchvision.datasets:常用的数据集接口
- torchvision.models:常用的模型结构,譬如AlexNet,VGG, ResNet
- torchvision.transforms:图片变换
- transforms.CenterCrop 对图片中心进行裁剪
transforms.ColorJitter 对图像颜色的对比度、饱和度和零度进行变换
transforms.FiveCrop 对图像四个角和中心进行裁剪得到五分图像
transforms.Grayscale 对图像进行灰度变换
transforms.Pad 使用固定值进行像素填充
transforms.RandomAffine 随机仿射变换
transforms.RandomCrop 随机区域裁剪
transforms.RandomHorizontalFlip 随机水平翻转
transforms.RandomRotation 随机旋转
transforms.RandomVerticalFlip 随机垂直翻转
- transforms.CenterCrop 对图片中心进行裁剪
- torchvision.utils:其他操作
2. PIL:Python Image Library
是Python 语言的一个第三方库,支持图像存储、显示和处理,能够处理几乎所有格式的图片。
3. torch
- 3.1 torch:生成随机数字的tensor,满足标准正态分布(0~1)
print(torch.randn(3),'\n',
torch.randn(3, 4),'\n',
torch.randn(3, 4, 5))
###################################
tensor([ 0.2965, -1.9862, 0.6845])
tensor([[ 0.0102, -0.7910, 0.2807, 0.2399],
[ 0.0896, -0.4920, 1.1830, 1.0532],
[-0.3168, -0.5191, -0.2676, 0.0547]])
tensor([[[ 0.3623, -0.0488, -0.9397, 2.0493, -0.4924],
[-0.8506, 0.0435, 0.1077, 0.5010, -0.6206],
[-0.0964, 1.2366, 1.2035, 1.1832, -1.0772],
[ 0.7585, -2.2725, -0.7748, -0.6995, 1.4313]],
[[-0.8132, 0.3222, -2.0298, -0.8955, -1.5885],
[-1.9234, -0.2824, -2.0615, 2.4361, 1.0798],
[-0.7023, 0.8195, -0.5983, 1.6142, -0.5253],
[-0.3071, -1.3893, 0.7453, 0.0168, -0.8236]],
[[-0.5623, 0.5198, -0.1727, 0.0726, 0.9915],
[ 1.7734, 0.4547, -0.1993, 0.3765, -0.4798],
[ 0.0041, 0.0529, 1.1025, 1.3861, -0.1418],
[-0.4634, 1.1942, 0.6051, 0.3423, 0.2027]]])
- 3.2 torch.nn
- 3.3 torch.cuda
- 3.4 torch.sparse
torch.sparse_coo_tensor(indices, values,
size=None, *,
dtype=None,
device=None,
requires_grad=False)
conda使用细节
python -V
conda install python=3.8
# 随后会出现解决依赖的场景
pip uninstall torchvision
# 卸载环境
conda config --append envs_dirs D:\yandandan2021\envs
# 将文件夹中的环境指定为conda环境
# 查看设置细节
conda config --show
#-i 指定下载源
#指定位置安装环境
conda create --prefix=C:/ProgramData/Anaconda3/envs/pytorch python=3.8
>>> torch.version.cuda
'10.2'
>>> torch.__version__
'1.10.1+cu102'
>>> torch.version.cuda
'10.2'
>>> torch.backends.cudnn.version()
7605
详细安装过程
conda create -n pytorch_gpu python=3.9.7
# 添加源
conda config --add channels https://mirrors.ustc.edu.cn/anaconda/pkgs/main/
conda config --add channels https://mirrors.ustc.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge/
conda config --add channels https://mirrors.ustc.edu.cn/anaconda/cloud/msys2/
conda config --add channels https://mirrors.ustc.edu.cn/anaconda/cloud/bioconda/
conda config --add channels https://mirrors.ustc.edu.cn/anaconda/cloud/menpo/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
# 查看源
conda config --show channels
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
- https://mirrors.ustc.edu.cn/anaconda/cloud/menpo/
- https://mirrors.ustc.edu.cn/anaconda/cloud/bioconda/
- https://mirrors.ustc.edu.cn/anaconda/cloud/msys2/
- https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge/
- https://mirrors.ustc.edu.cn/anaconda/pkgs/free/
- https://mirrors.ustc.edu.cn/anaconda/pkgs/main/
- defaults
#切换环境,推出环境直接exit()即可
(base) C:\Users\wpyoung>conda activate pytorch_gpu
(pytorch_gpu) C:\Users\wpyoung>
conda search pytorch
# 可能搜索不到,再添加1个源
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
# 查看已经安装的包
conda list
- 去官网生成命令

conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia
出现的问题
- conda uninstall torch 报错
但是pip uninstall torch可行
# 此前使用过conda unisntall torchvision
(pytorch_gpu) C:\Users\wpyoung>conda uninstall torch
Collecting package metadata (repodata.json): done
Solving environment: failed
PackagesNotFoundError: The following packages are missing from the target environment:
- torch
(pytorch_gpu) C:\Users\wpyoung>conda uninstall torchaudio
Collecting package metadata (repodata.json): done
Solving environment: failed
PackagesNotFoundError: The following packages are missing from the target environment:
- torchaudio
解决:
(pytorch_gpu) C:\Users\wpyoung>pip uninstall torch
Found existing installation: torch 1.10.1+cu102
Uninstalling torch-1.10.1+cu102:
Would remove:
d:\software\conda\envs\pytorch_gpu\lib\site-packages\caffe2\*
d:\software\conda\envs\pytorch_gpu\lib\site-packages\torch-1.10.1+cu102.dist-info\*
d:\software\conda\envs\pytorch_gpu\lib\site-packages\torch\*
d:\software\conda\envs\pytorch_gpu\scripts\convert-caffe2-to-onnx.exe
d:\software\conda\envs\pytorch_gpu\scripts\convert-onnx-to-caffe2.exe
d:\software\conda\envs\pytorch_gpu\scripts\torchrun.exe
Proceed (Y/n)? Y
Successfully uninstalled torch-1.10.1+cu102
- 但是导入torchvision会报错,torchvision需要安装与pytorch对应的版本,否则会报错?
>>> import torchvision
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "D:\software\conda\envs\pytorch_gpu\lib\site-packages\torchvision\__init__.py", line 7, in <module>
from torchvision import datasets
File "D:\software\conda\envs\pytorch_gpu\lib\site-packages\torchvision\datasets\__init__.py", line 23, in <module>
from .kinetics import Kinetics400, Kinetics
File "D:\software\conda\envs\pytorch_gpu\lib\site-packages\torchvision\datasets\kinetics.py", line 15, in <module>
from .video_utils import VideoClips
File "D:\software\conda\envs\pytorch_gpu\lib\site-packages\torchvision\datasets\video_utils.py", line 8, in <module>
from torchvision.io import (
File "D:\software\conda\envs\pytorch_gpu\lib\site-packages\torchvision\io\__init__.py", line 20, in <module>
from .image import (
ImportError: DLL load failed while importing image: 找不到指定的模块。
- 如何选择pytorch和python版本
- 输入conda search pytorch
# Name Version Build Channel
pytorch 1.0.1 cpu_py36h39a92a0_0 anaconda/pkgs/main
pytorch 1.0.1 cpu_py36h39a92a0_0 pkgs/main
pytorch 1.0.1 cpu_py37h39a92a0_0 anaconda/pkgs/main
pytorch 1.0.1 cpu_py37h39a92a0_0 pkgs/main
pytorch 1.3.1 cpu_py36h9f948e0_0 anaconda/pkgs/main
pytorch 1.3.1 cpu_py36h9f948e0_0 pkgs/main
pytorch 1.3.1 cpu_py37h9f948e0_0 anaconda/pkgs/main
pytorch 1.3.1 cpu_py37h9f948e0_0 pkgs/main
pytorch 1.4.0 cpu_py36ha775e86_0 anaconda/pkgs/main
pytorch 1.4.0 cpu_py36ha775e86_0 pkgs/main
pytorch 1.4.0 cpu_py37ha775e86_0 anaconda/pkgs/main
pytorch 1.4.0 cpu_py37ha775e86_0 pkgs/main
pytorch 1.4.0 cpu_py38ha775e86_0 anaconda/pkgs/main
pytorch 1.4.0 cpu_py38ha775e86_0 pkgs/main
pytorch 1.5.0 cpu_py37h9f948e0_0 anaconda/pkgs/main
pytorch 1.5.0 cpu_py37h9f948e0_0 pkgs/main
pytorch 1.5.1 py3.5_cpu_0 anaconda/cloud/pytorch
pytorch 1.5.1 py3.5_cuda101_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.5.1 py3.5_cuda102_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.5.1 py3.5_cuda92_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.5.1 py3.6_cpu_0 anaconda/cloud/pytorch
pytorch 1.5.1 py3.6_cuda101_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.5.1 py3.6_cuda102_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.5.1 py3.6_cuda92_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.5.1 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.5.1 py3.7_cuda101_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.5.1 py3.7_cuda102_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.5.1 py3.7_cuda92_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.5.1 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.5.1 py3.8_cuda101_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.5.1 py3.8_cuda102_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.5.1 py3.8_cuda92_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.6.0 cpu_py37h538a6d7_0 anaconda/pkgs/main
pytorch 1.6.0 cpu_py37h538a6d7_0 pkgs/main
pytorch 1.6.0 cpu_py38h538a6d7_0 anaconda/pkgs/main
pytorch 1.6.0 cpu_py38h538a6d7_0 pkgs/main
pytorch 1.6.0 py3.6_cpu_0 anaconda/cloud/pytorch
pytorch 1.6.0 py3.6_cuda101_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.6.0 py3.6_cuda102_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.6.0 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.6.0 py3.7_cuda101_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.6.0 py3.7_cuda102_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.6.0 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.6.0 py3.8_cuda101_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.6.0 py3.8_cuda102_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.7.0 py3.6_cpu_0 anaconda/cloud/pytorch
pytorch 1.7.0 py3.6_cuda101_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.7.0 py3.6_cuda102_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.7.0 py3.6_cuda110_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.7.0 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.7.0 py3.7_cuda101_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.7.0 py3.7_cuda102_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.7.0 py3.7_cuda110_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.7.0 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.7.0 py3.8_cuda101_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.7.0 py3.8_cuda102_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.7.0 py3.8_cuda110_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.6_cpu_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.6_cuda101_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.6_cuda102_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.6_cuda110_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.7_cuda101_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.7_cuda102_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.7_cuda110_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.8_cuda101_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.8_cuda102_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.8_cuda110_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.9_cpu_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.9_cuda101_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.9_cuda102_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.7.1 py3.9_cuda110_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.6_cpu_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.6_cuda10.1_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.6_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.6_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.7_cuda10.1_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.7_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.7_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.8_cuda10.1_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.8_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.8_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.9_cpu_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.9_cuda10.1_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.9_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.0 py3.9_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.6_cpu_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.6_cuda10.1_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.6_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.6_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.7_cuda10.1_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.7_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.7_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.8_cuda10.1_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.8_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.8_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.9_cpu_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.9_cuda10.1_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.9_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.8.1 py3.9_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.9.0 py3.6_cpu_0 anaconda/cloud/pytorch
pytorch 1.9.0 py3.6_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.9.0 py3.6_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.9.0 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.9.0 py3.7_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.9.0 py3.7_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.9.0 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.9.0 py3.8_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.9.0 py3.8_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.9.0 py3.9_cpu_0 anaconda/cloud/pytorch
pytorch 1.9.0 py3.9_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.9.0 py3.9_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.9.1 py3.6_cpu_0 anaconda/cloud/pytorch
pytorch 1.9.1 py3.6_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.9.1 py3.6_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.9.1 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.9.1 py3.7_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.9.1 py3.7_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.9.1 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.9.1 py3.8_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.9.1 py3.8_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.9.1 py3.9_cpu_0 anaconda/cloud/pytorch
pytorch 1.9.1 py3.9_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.9.1 py3.9_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.6_cpu_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.6_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.6_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.6_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.7_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.7_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.7_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.8_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.8_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.8_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.9_cpu_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.9_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.9_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.0 py3.9_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.6_cpu_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.6_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.6_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.6_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.7_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.7_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.7_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.8_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.8_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.8_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.9_cpu_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.9_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.9_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.1 py3.9_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.2 cpu_py310habb1308_0 anaconda/pkgs/main
pytorch 1.10.2 cpu_py310habb1308_0 pkgs/main
pytorch 1.10.2 cpu_py37h907fbb5_0 anaconda/pkgs/main
pytorch 1.10.2 cpu_py37h907fbb5_0 pkgs/main
pytorch 1.10.2 cpu_py38h907fbb5_0 anaconda/pkgs/main
pytorch 1.10.2 cpu_py38h907fbb5_0 pkgs/main
pytorch 1.10.2 cpu_py39h907fbb5_0 anaconda/pkgs/main
pytorch 1.10.2 cpu_py39h907fbb5_0 pkgs/main
pytorch 1.10.2 py3.6_cpu_0 anaconda/cloud/pytorch
pytorch 1.10.2 py3.6_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.10.2 py3.6_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.2 py3.6_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.2 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.10.2 py3.7_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.10.2 py3.7_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.2 py3.7_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.2 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.10.2 py3.8_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.10.2 py3.8_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.2 py3.8_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.2 py3.9_cpu_0 anaconda/cloud/pytorch
pytorch 1.10.2 py3.9_cuda10.2_cudnn7_0 anaconda/cloud/pytorch
pytorch 1.10.2 py3.9_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.10.2 py3.9_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.11.0 py3.10_cpu_0 anaconda/cloud/pytorch
pytorch 1.11.0 py3.10_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.11.0 py3.10_cuda11.5_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.11.0 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.11.0 py3.7_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.11.0 py3.7_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.11.0 py3.7_cuda11.5_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.11.0 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.11.0 py3.8_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.11.0 py3.8_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.11.0 py3.8_cuda11.5_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.11.0 py3.9_cpu_0 anaconda/cloud/pytorch
pytorch 1.11.0 py3.9_cuda11.1_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.11.0 py3.9_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.11.0 py3.9_cuda11.5_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.0 py3.10_cpu_0 anaconda/cloud/pytorch
pytorch 1.12.0 py3.10_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.0 py3.10_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.0 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.12.0 py3.7_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.0 py3.7_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.0 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.12.0 py3.8_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.0 py3.8_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.0 py3.9_cpu_0 anaconda/cloud/pytorch
pytorch 1.12.0 py3.9_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.0 py3.9_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.1 cpu_py310h5e1f01c_0 anaconda/pkgs/main
pytorch 1.12.1 cpu_py310h5e1f01c_0 pkgs/main
pytorch 1.12.1 cpu_py310h5e1f01c_1 anaconda/pkgs/main
pytorch 1.12.1 cpu_py310h5e1f01c_1 pkgs/main
pytorch 1.12.1 cpu_py37h5e1f01c_0 anaconda/pkgs/main
pytorch 1.12.1 cpu_py37h5e1f01c_0 pkgs/main
pytorch 1.12.1 cpu_py37h5e1f01c_1 anaconda/pkgs/main
pytorch 1.12.1 cpu_py37h5e1f01c_1 pkgs/main
pytorch 1.12.1 cpu_py38h5e1f01c_0 anaconda/pkgs/main
pytorch 1.12.1 cpu_py38h5e1f01c_0 pkgs/main
pytorch 1.12.1 cpu_py38h5e1f01c_1 anaconda/pkgs/main
pytorch 1.12.1 cpu_py38h5e1f01c_1 pkgs/main
pytorch 1.12.1 cpu_py39h5e1f01c_0 anaconda/pkgs/main
pytorch 1.12.1 cpu_py39h5e1f01c_0 pkgs/main
pytorch 1.12.1 cpu_py39h5e1f01c_1 anaconda/pkgs/main
pytorch 1.12.1 cpu_py39h5e1f01c_1 pkgs/main
pytorch 1.12.1 py3.10_cpu_0 anaconda/cloud/pytorch
pytorch 1.12.1 py3.10_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.1 py3.10_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.1 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.12.1 py3.7_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.1 py3.7_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.1 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.12.1 py3.8_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.1 py3.8_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.1 py3.9_cpu_0 anaconda/cloud/pytorch
pytorch 1.12.1 py3.9_cuda11.3_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.12.1 py3.9_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.0 py3.10_cpu_0 anaconda/cloud/pytorch
pytorch 1.13.0 py3.10_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.0 py3.10_cuda11.7_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.0 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.13.0 py3.7_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.0 py3.7_cuda11.7_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.0 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.13.0 py3.8_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.0 py3.8_cuda11.7_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.0 py3.9_cpu_0 anaconda/cloud/pytorch
pytorch 1.13.0 py3.9_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.0 py3.9_cuda11.7_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.1 py3.10_cpu_0 anaconda/cloud/pytorch
pytorch 1.13.1 py3.10_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.1 py3.10_cuda11.7_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.1 py3.7_cpu_0 anaconda/cloud/pytorch
pytorch 1.13.1 py3.7_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.1 py3.7_cuda11.7_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.1 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 1.13.1 py3.8_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.1 py3.8_cuda11.7_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.1 py3.9_cpu_0 anaconda/cloud/pytorch
pytorch 1.13.1 py3.9_cuda11.6_cudnn8_0 anaconda/cloud/pytorch
pytorch 1.13.1 py3.9_cuda11.7_cudnn8_0 anaconda/cloud/pytorch
pytorch 2.0.0 py3.10_cpu_0 anaconda/cloud/pytorch
pytorch 2.0.0 py3.10_cuda11.7_cudnn8_0 anaconda/cloud/pytorch
pytorch 2.0.0 py3.10_cuda11.8_cudnn8_0 anaconda/cloud/pytorch
pytorch 2.0.0 py3.8_cpu_0 anaconda/cloud/pytorch
pytorch 2.0.0 py3.8_cuda11.7_cudnn8_0 anaconda/cloud/pytorch
pytorch 2.0.0 py3.8_cuda11.8_cudnn8_0 anaconda/cloud/pytorch
pytorch 2.0.0 py3.9_cpu_0 anaconda/cloud/pytorch
pytorch 2.0.0 py3.9_cuda11.7_cudnn8_0 anaconda/cloud/pytorch
pytorch 2.0.0 py3.9_cuda11.8_cudnn8_0 anaconda/cloud/pytorch
control /name Microsoft.DeviceManager 可打开设备管理器
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>复制解压后的cdDNN文件到cuda的相关安装目录即可,之后查看是否安装成功cuDNN






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