Fix InternalTorchDynamoError

✅ Solution

InternalTorchDynamoError often arises from unexpected errors during graph compilation or execution within TorchDynamo, such as unsupported operations or incorrect assumptions about tensor shapes. To fix this, carefully examine the traceback for the root cause, often indicating a specific line of code or operator triggering the error. Then, either rewrite the code to use Dynamo-compatible operations, add guards to avoid problematic code paths during compilation, or disable compilation for that section using `torch._dynamo.disable` as a last resort while reporting the issue.