code: def has_overflow(self, tensors):
      try:
          for tens in tensors:
              if tens is None:
                  continue
              if DynamicLossScaler._has_inf_or_nan(tens):
                  return True
      except TypeError:
          return DynamicLossScaler._has_inf_or_nan(tensors)
      return False
  
imports: import torch
  import torch.nn
  from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
label_desc: Use image node_id 2 for calling the DynamicLossScaler obj's underlying member method code with example usage: obj.has_overflow(tensors) and returns: False, DynamicLossScaler, True