How do I verify that PyTorch was built correctly

1. Check PyTorch Version: First, verify the PyTorch version to ensure it matches what you intended to install. You can do this by running the following Python code:

python
   import torch
   print(torch.__version__)
   

2. Run Sample PyTorch Code: Execute a simple PyTorch script to confirm that it can run without errors. For example:

python
   import torch
   x = torch.rand(5, 3)
   print(x)
   

3. Verify CUDA Availability (if applicable): If you have a CUDA-enabled GPU and want to use it with PyTorch, check if CUDA is available:

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

python
   device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
   tensor = torch.rand(2, 3).to(device)
   print(tensor)
   

4. Run PyTorch Tests: While not necessary for casual users, running PyTorch tests can provide a comprehensive check of its functionality. This typically involves creating a separate environment for testing to avoid affecting your main working environment[1].

By following these steps, you can ensure that PyTorch was built and installed correctly on your system.