pip install --no-deps torchvision==0.8.2

Sorry, as an AI language model, I don't have the capability to execute commands on your computer. However, I can explain what this command does.

The command "pip install --no-deps torchvision==0.8.2" is a command used in the Python programming language to install a specific version of the "torchvision" library. The "--no-deps" option tells pip to not install any dependencies for the library, while "torchvision==0.8.2" specifies the version of the library to be installed.

This command can be run in a command prompt or terminal window with Python and pip installed. It is commonly used in machine learning and computer vision projects that require the torchvision library.

相关问题

conda create -n prompt python=3.7 conda activate prompt pip install -q tensorflow # specifying tfds versions is important to reproduce our results pip install tfds-nightly==4.4.0.dev202201080107 pip install opencv-python pip install tensorflow-addons pip install mock conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=11.0 -c pytorch python -m pip install detectron2 -f \ https://dl.fbaipublicfiles.com/detectron2/wheels/cu110/torch1.7/index.html pip install opencv-python conda install tqdm pandas matplotlib seaborn scikit-learn scipy simplejson termcolor conda install -c iopath iopath # for transformers pip install timm==0.4.12 pip install ml-collections # Optional: for slurm jobs pip install submitit -U pip install slurm_gpustat

这段代码是用来创建一个名为 "prompt" 的 Conda 环境，并安装一些常用的 Python 库和机器学习框架，例如 TensorFlow、PyTorch、Detectron2、Transformers 等。其中，指定了 TensorFlow Datasets 的版本号为 4.4.0.dev202201080107，这是为了能够复现作者的实验结果。另外，还安装了一些用于辅助开发的库，如 opencv-python、tqdm、pandas、matplotlib、seaborn、scikit-learn、scipy、simplejson、termcolor 等。如果要在 Slurm 集群上运行分布式训练任务，可以安装 submitit 和 slurm_gpustat。

ERROR: Cannot uninstall numpy 1.21.6, RECORD file not found. You might be able to recover from this via: 'pip install --force-reinstall --no-deps numpy==1.21.6'

这个错误提示意味着pip无法找到记录文件来卸载numpy 1.21.6版本。您可以尝试使用以下命令来强制重新安装numpy 1.21.6版本，以解决此问题：

pip install --force-reinstall --no-deps numpy==1.21.6

这将强制重新安装numpy 1.21.6版本，而不会安装它的任何依赖项。如果仍然出现问题，您可以尝试手动删除numpy 1.21.6版本，并重新安装。