Fix RuntimeError

✅ Solution

RuntimeError in PyTorch often arises when operations encounter invalid input values or conditions during execution, particularly in compiled or optimized code paths like those generated by `torch.compile`. To fix this, add explicit input validation checks (e.g., using `torch.clamp` or assertions) before the problematic operation to ensure data falls within the expected range or satisfies required conditions. If the error occurs due to fake tensor propagation, ensure that all necessary operators are defined for the custom tensor type when tracing.