深度学习之mmrotate环境安装问题

Question

首先创造了虚拟环境mmrotate
conda create --name mmrotate python==3.8
接着输入conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cudatoolkit=11.3 -c pytorch 安装pytorch等
在这一步出现报错

Solving environment: \ warning  libmamba Added empty dependency for problem type SOLVER_RULE_UPDATE
failed

LibMambaUnsatisfiableError: Encountered problems while solving:
  - nothing provides cudatoolkit >=11.5,<11.6 needed by torchvision-0.12.0-py310_cu115
  - nothing provides cudatoolkit >=11.5,<11.6 needed by torchaudio-0.11.0-py310_cu115
  - nothing provides cudatoolkit >=11.5,<11.6 needed by pytorch-1.11.0-py3.10_cuda11.5_cudnn8_0

Could not solve for environment specs
The following packages are incompatible
├─ pin-1 is installable and it requires
│  └─ python 3.11.* , which can be installed;
├─ pytorch 1.11.0  is not installable because there are no viable options
│  ├─ pytorch 1.11.0 would require
│  │  └─ python >=3.10,<3.11.0a0 , which conflicts with any installable versions previously reported;
│  ├─ pytorch 1.11.0 would require
│  │  └─ cudatoolkit >=11.5,<11.6 , which does not exist (perhaps a missing channel);
│  ├─ pytorch 1.11.0 would require
│  │  └─ python >=3.7,<3.8.0a0 , which conflicts with any installable versions previously reported;
│  ├─ pytorch 1.11.0 would require
│  │  └─ cudatoolkit >=11.1,<11.2 , which does not exist (perhaps a missing channel);
│  ├─ pytorch 1.11.0 would require
│  │  └─ python >=3.8,<3.9.0a0 , which conflicts with any installable versions previously reported;
│  └─ pytorch 1.11.0 would require
│     └─ python >=3.9,<3.10.0a0 , which conflicts with any installable versions previously reported;
├─ torchaudio 0.11.0  is not installable because there are no viable options
│  ├─ torchaudio 0.11.0 would require
│  │  └─ python >=3.10,<3.11.0a0 , which conflicts with any installable versions previously reported;
│  ├─ torchaudio 0.11.0 would require
│  │  └─ cudatoolkit >=11.5,<11.6 , which does not exist (perhaps a missing channel);
│  ├─ torchaudio 0.11.0 would require
│  │  └─ python >=3.7,<3.8.0a0 , which conflicts with any installable versions previously reported;
│  ├─ torchaudio 0.11.0 would require
│  │  └─ python >=3.8,<3.9.0a0 , which conflicts with any installable versions previously reported;
│  └─ torchaudio 0.11.0 would require
│     └─ python >=3.9,<3.10.0a0 , which conflicts with any installable versions previously reported;
└─ torchvision 0.12.0  is not installable because there are no viable options
   ├─ torchvision 0.12.0 would require
   │  └─ python >=3.10,<3.11.0a0 , which conflicts with any installable versions previously reported;
   ├─ torchvision 0.12.0 would require
   │  └─ cudatoolkit >=11.5,<11.6 , which does not exist (perhaps a missing channel);
   ├─ torchvision 0.12.0 would require
   │  └─ python >=3.7,<3.8.0a0 , which conflicts with any installable versions previously reported;
   ├─ torchvision 0.12.0 would require
   │  └─ python >=3.8,<3.9.0a0 , which conflicts with any installable versions previously reported;
   └─ torchvision 0.12.0 would require
      └─ python >=3.9,<3.10.0a0 , which conflicts with any installable versions previously reported.

Pins seem to be involved in the conflict. Currently pinned specs:
 - python 3.11.* (labeled as 'pin-1')

显示Pins seem to be involved in the conflict. Currently pinned specs:

• python 3.11.* (labeled as 'pin-1')
  是什么意思，我虚拟环境安装的是python3.8呀？
  请问这个问题怎么解决？

Answer 1

上午好☀️☀️☀️️
本答案参考ChatGPT-3.5

在运行conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cudatoolkit=11.3 -c pytorch命令时出现了错误，原因是当前虚拟环境中的Python版本可能与安装pytorch、torchvision、torchaudio相关的其他依赖版本不兼容。

解决方案：

1.检查当前虚拟环境中的Python版本是否为3.8，如果不是，请输入以下命令更改Python版本：

conda activate mmrotate
conda install python=3.8

2.在安装pytorch、torchvision、torchaudio时指定正确的依赖版本，例如：

conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cudatoolkit=11.1 -c pytorch

其中，cudatoolkit的版本需要与当前GPU的驱动版本匹配，如果未安装GPU或者GPU的驱动版本低于11.1，请更改为适当的版本。

3.如果以上方法都无法解决问题，可以使用其他的虚拟环境工具，例如virtualenv或者pipenv，创建新的Python环境，再在其中安装pytorch、torchvision、torchaudio等相关库。

注意事项：

• 在安装pytorch相关库时，要确保与当前Python环境和GPU驱动版本都兼容；

• 如果出现了依赖版本不兼容的问题，可以按照提示检查当前虚拟环境中是否有其他不兼容的依赖库，或者使用其他环境工具重新创建新的Python环境。