code: def _tensor(self):
      if self._tensor_data is None:
          self._tensor_data = Tensor.from_batched(
              self._batchtensor, self._has_device
          )._tensor
      return self._tensor_data
  
file_path: pytorch/functorch/dim/delayed_mul_tensor.py
imports: import torch
  from .None import _Tensor, Tensor
  from .reference import _dims, _enable_layers, llist, ltuple
label_desc: Use image node_id 4 for calling the DelayedMulTensor obj's underlying member method code with example usage: obj._tensor() and returns: self