Fix TorchRuntimeError

✅ Solution

TorchRuntimeError in compiled PyTorch code often arises from operations that produce strides or shapes incompatible with the expected memory layout, especially when using `torch.compile`. Inspect custom operators, view/reshape operations, and ensure data contiguity using `.contiguous()` before such operations, paying attention to how `torch.compile` may optimize memory layouts differently than eager mode. If fake tensors are involved, check for discrepancies in shape/stride handling between meta and actual device execution by adding guards around problematic operations for different compilation modes.