Fix TorchRuntimeError

✅ Solution

TorchRuntimeError in PyTorch often arises from mismatched tensor dimensions during operations like matrix multiplication or broadcasting, or from attempting operations on tensors residing on incompatible devices (e.g., CUDA operations on CPU tensors). Ensure that tensor dimensions are compatible by reshaping or transposing them where necessary, and verify that all tensors involved in an operation are on the same device (CPU or CUDA) using `.to()` to move tensors between devices. Use `torch.Size()` to debug tensor sizes or `.device` to determine the device a tensor resides on.