python pip install pytorch with cuda

Download this code from https://codegive.com
Sure, I'd be happy to help you with that. Installing PyTorch with CUDA support involves a few steps, including installing the necessary dependencies and using pip to install PyTorch. CUDA is a parallel computing platform and application programming interface model created by Nvidia.
Before installing PyTorch with CUDA support, you need to install the Nvidia CUDA Toolkit and cuDNN. These are essential for GPU acceleration.
Nvidia CUDA Toolkit:
Visit the Nvidia CUDA Toolkit download page and follow the instructions to download and install the toolkit.
cuDNN:
Download cuDNN from the Nvidia cuDNN page (you may need to create an Nvidia Developer account). Follow the installation instructions provided.
Ensure that your Nvidia GPU is compatible with the CUDA Toolkit version you installed. You can check the compatibility on the Nvidia CUDA GPUs page.
Now, you can use pip to install PyTorch with CUDA support.
Replace the version numbers with the appropriate versions for your CUDA version. You can find the correct versions on the PyTorch installation page.
Once the installation is complete, you can verify that PyTorch is using the GPU by running the following Python code:
This script checks if CUDA is available and prints the name of the CUDA device.
That's it! You've successfully installed PyTorch with CUDA support on your system. Make sure to adapt the version numbers in the pip install command based on your CUDA version and PyTorch release.
ChatGPT