Fix InternalTorchDynamoError

✅ Solution

InternalTorchDynamoError often arises from unexpected control flow or data dependencies within traced regions that Dynamo's compiler cannot handle, particularly with sparse tensors or when outputs of operations are used before they are properly defined in the graph. To fix it, try rewriting the code to minimize data-dependent control flow, especially around tensor creation and manipulation, and ensure all tensor outputs are fully defined before being used by hoisting operations or pre-allocating tensors when feasible; if using sparse tensors, convert to dense before operations where possible to simplify tracing. Consider marking parts of the code as `torch.compile(mode="reduce-overhead")` or `torch.jit.script` to bypass Dynamo and possibly isolate the issue.