code: def testBroadcasting(self):
      self._check_gradient("...ij,...jk->...ik", (3, 2), (2, 4))
      self._check_gradient("ij...,jk...->ik...", (3, 2, 1), (2, 4))
      self._check_gradient(
          "...ij,...jk->...ik", (3, 1, 3, 2), (1, 5, 2, 4)
      )
      self._check_gradient(
          "i...j,j...k->i...k", (3, 1, 2, 2), (2, 2, 3, 1, 4)
      )
  
imports: import numpy
  from tensorflow.python.client import session
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_linalg_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the EinsumGradTest obj's underlying member method code with example usage: obj.testBroadcasting() without return types