code: def __call__(self, input_tensors, shape):
      if self.order in "KA":
          if any(t.order == TensorOrder.C_ORDER for t in input_tensors):
              order = TensorOrder.C_ORDER
          else:
              order = TensorOrder.F_ORDER
      else:
          if self.order == "C":
              order = TensorOrder.C_ORDER
          else:
              order = TensorOrder.F_ORDER
      return self.new_tensor(
          input_tensors, shape=shape, dtype=self.dtype, order=order
      )
  
imports: import itertools
  from collections import defaultdict
  import numpy
  from ...None import opcodes
  from ...core import recursive_tile
  from ...serialization.serializables import AnyField, StringField
  from ..array_utils import as_same_device, device
  from ..arithmetic.utils import chunk_tree_add
  from ..core import TensorOrder
  from ..operands import TensorOperand, TensorOperandMixin
  from ..utils import decide_unify_split
  from .einsumfunc import parse_einsum_input, einsum_path
label_desc: Use image node_id 6 for calling the TensorEinsum obj's underlying member method code with example usage: obj.__call__(input_tensors, shape) and returns: self