Fix TypeError

✅ Solution

TypeError in PyTorch usually occurs when an operation receives an argument of an unexpected data type. To fix this, carefully inspect the error message to identify the problematic argument and its expected type, then cast or convert the input to the correct data type using methods like `.int()`, `.float()`, `.long()`, or tensor constructors like `torch.tensor()`. For `torch.compile`, ensure that arguments passed to functions like `torch.full()` are of the correct type, even if eager mode is more lenient.