What are the steps to set up a PyTorch environment?

The steps to set up a PyTorch environment are as follows:

1. Install Python: Make sure you have Python installed, preferably the 3.x version.
2. Install pip: pip is a package management tool for Python used to install and manage Python libraries.
3. Install PyTorch dependencies: PyTorch relies on some other software packages, which need to be installed first. Common dependencies include NumPy, Matplotlib, and SciPy. You can use the following command to install dependencies:
4. Please install numpy, matplotlib, and scipy using pip.
5. Choose the installation method: Select the appropriate installation method based on system and hardware requirements. PyTorch supports two installation methods for CPU and GPU.
6. If you’re only using the CPU for computation, you can install with the following command:
   pip install torch
7. If you are using GPU for computation, you will need to install the CUDA toolkit. First, check if you have a supported CUDA version. Then, use the following command to install the corresponding version of PyTorch:
   pip install torch torchvision torchaudio
8. Verify installation: Run the following code to check if PyTorch has been successfully installed:
9. Import the torch module and display its version number using the print function.

After successfully completing the above steps, you can now start using PyTorch for deep learning tasks.