refactor: Rename file for pep 8 and improve code

- added comment for the script
- added else case to give helpful instructions if Cuda is not availabe!

Author: TimTheHero

TorchGPUCheck.py

@@ -0,0 +1,20 @@
+import torch
+"""
+This code is a simple Python script that checks if CUDA is available on the system and provides instructions on how to enable it if it's not available.
+"""
+
+if __name__ == "__main__":
+    print(torch.torch_version)
+    # Check if CUDA is available
+    if torch.cuda.is_available():
+        print("CUDA is available!")
+        print(f"Number of GPUs: {torch.cuda.device_count()}")
+        print(f"Current GPU: {torch.cuda.get_device_name(torch.cuda.current_device())}")
+    else:
+        print("CUDA is not available.")
+        print("To enable CUDA, follow these steps:")
+        print("1. **Install NVIDIA Drivers**: Ensure you have the latest NVIDIA drivers installed on your system.")
+        print("2. **Install CUDA Toolkit**: Download and install the CUDA Toolkit from the official NVIDIA website: https://developer.nvidia.com/cuda-downloads")
+        print("3. **Verify CUDA Installation**: After installation, verify that CUDA is working correctly by running the `nvidia-smi` command in your terminal/command prompt.")
+        print("4. **Update PyTorch**: Make sure you're using the latest version of PyTorch. You can update PyTorch using pip: `pip install --upgrade torch`")
+        print("5. **Restart Your System**: Restart your system to ensure that the changes take effect.")