How to choose the PyTorch version under CentOS

When selecting a PyTorch version under CentOS, the following key factors need to be considered:

1. CUDA version compatibility

• GPU support : If you have an NVIDIA GPU and want to utilize GPU acceleration, you need to choose PyTorch that supports the corresponding CUDA version. You can view the CUDA version supported by running the nvidia-smi command.
• CPU version : If you don't have a GPU or don't want to use a GPU, you can choose a CPU version of PyTorch.

2. Python version

• PyTorch officially supports Python 3.6-3.9. Python 3.7 or later is recommended because these versions provide better performance and more features.

3. System requirements

• CentOS version: CentOS 7.6 or later is recommended because these versions provide better compatibility and stability.
• Dependencies : Make sure that the system has installed necessary dependencies, such as gcc, openssl-devel, bzip2-devel, libffi-devel, etc.

4. Installation method

• Install with Conda : Use Conda to install PyTorch because it simplifies dependency management and environmental isolation. You can create and activate a virtual environment through the following command, and then install PyTorch:

 conda create -n pytorch_env python=3.9
conda activate pytorch_env
conda install pytorch torchvision torchaudio cudatoolkit=11.8 -c pytorch -c nvidia

• Install using pip : If Conda is not installed, you can use pip to install PyTorch. You can speed up download speed by specifying the mirror source of Tsinghua University:

 pip install torch torchvision torchaudio -f https://pypi.tuna.tsinghua.edu.cn/simple

5. Verify the installation

• After the installation is complete, you can verify that PyTorch is installed correctly through the following Python code and can use the GPU:

 import torch
print(torch.__version__)
print(torch.cuda.is_available())

Through the above steps, you should be able to successfully select and install the PyTorch version on CentOS that suits your needs. If you encounter problems during the installation process, it is recommended to consult the official PyTorch documentation or seek community help.

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