Change8
Error12 reports

Fix TorchRuntimeError

in PyTorch

Solution

TorchRuntimeError generally arises from invalid or unsupported operations performed on tensors within a PyTorch function, often due to incorrect data types, shapes, or device placements. Inspect the specific error message and stack trace to pinpoint the problematic operation. Ensure input tensors have compatible dtypes and shapes, and that all operations are performed on the correct device (CPU or CUDA) by transferring tensors with `.to(device)` if needed.

Timeline

First reported:Apr 15, 2026
Last reported:Apr 17, 2026

Need More Help?

View the full changelog and migration guides for PyTorch

View PyTorch Changelog