code: def _lazy_tensor_creator_converter(
      value, dtype=None, name=None, as_ref=False
  ):
      del name  # ignored
      if not isinstance(value, LazyTensorCreator):
          raise RuntimeError(
              "Expected LazyTensorCreator, got %r" % value
          )
      if as_ref:
          raise RuntimeError(
              "Cannot use LazyTensorCreator to create ref tensor"
          )
      tensor = value()
      if dtype not in (None, tensor.dtype):
          raise RuntimeError(
              "Cannot convert LazyTensorCreator returning dtype %s to dtype %s"
              % (tensor.dtype, dtype)
          )
      return tensor
  
imports: import threading
  from tensorboard.compat import tf2
label_desc: Use image node_id 1 for calling a global function with example usage: _lazy_tensor_creator_converter(value, dtype, name, as_ref) and returns: tensor