class_docstr: A class to describe a graph of Parts and Tensors used by the cascader.
  
  This class describes a graph consisting of two object types: Tensors and Parts.
  It defines a topological ordering on the graph such that each Part and Tensor has a
  position in the ordering. This ordering is used by the Plan and Proposal generation
  algorithms. It is also the ordering the Parts are expected to be executed in.
  
  In addition to defining an ordering, the Parts and Tensors are also all given unique
  IDs which they can be referred to by.
code: def tensor_order(self):
      return list(self._tensor_order)
  
imports: from typing import List, Dict
  from enum import IntEnum
  from collections import namedtuple
  import numpy
  import tvm._ffi
  from tvm import te
  from tvm.runtime import Object
  from .stripe_config import StripeConfig
  from .device_config import EthosuDeviceConfig
  from .None import _ffi_api
label_desc: Use image node_id 6 for calling the CascaderGraph obj's underlying member method code with example usage: obj.tensor_order() and returns: list