Fix TorchRuntimeError

✅ Solution

TorchRuntimeError often arises from unexpected data types or shapes encountered during execution in compiled or customized PyTorch operations, particularly when tracing or using `torch.func`. To resolve this, ensure all custom operators and functions (especially those used with `torch.compile` or `torch.func`) correctly handle all possible data types and shapes they might receive, using explicit type and shape checking with `torch.Size` and `torch.dtype`, and employing defensive programming techniques like assertions or fallback mechanisms. Alternatively, explicitly provide type hints and shape information to the compiler when tracing or compiling the model.