How does PyTorch handle version counters in autograd?

Version counters track in-place modifications to tensors to ensure autograd correctness.

Each tensor maintains a version counter that increments on in-place operations. If a tensor is modified after being used in graph construction, autograd detects mismatch and raises errors to prevent incorrect gradient computation.