code: def __init__(self, lhs, rhs):
      self._lhs, self._rhs = lhs, rhs
      self._data = None
      self._levels_data = None
      self._has_device = lhs._has_device or rhs._has_device
      self._batchtensor_data = None
      self._tensor_data = None
  
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 1 to create a new DelayedMulTensor object from inherited base classes: _Tensor with example: obj = DelayedMulTensor(lhs, rhs)