code: def __call__(self, a, b):
      shape = tuple(
          s for i, s in enumerate(a.shape) if i not in set(self._a_axes)
      ) + tuple(
          s for i, s in enumerate(b.shape) if i not in set(self._b_axes)
      )
      return self.new_tensor([a, b], shape, order=TensorOrder.C_ORDER)
  
imports: import itertools
  from collections.abc import Iterable
  import numpy
  from ...None import opcodes
  from ...serialization.serializables import FieldTypes, KeyField, TupleField
  from ...utils import has_unknown_shape
  from ..utils import unify_chunks
  from ..array_utils import as_same_device, device, is_sparse_module
  from ..operands import TensorOperand, TensorOperandMixin
  from ..arithmetic.utils import chunk_tree_add
  from ..datasource import tensor
  from ..core import TensorOrder
label_desc: Use image node_id 7 for calling the TensorTensorDot obj's underlying member method code with example usage: obj.__call__(a, b) and returns: self