code: def test_broadcasting_dot_cases(self):
      # Ensures broadcasting cases are not mistaken for GEMM
  
      a = np.random.rand(1, 5, 4)
      b = np.random.rand(4, 6)
      c = np.random.rand(5, 6)
      d = np.random.rand(10)
  
      self.optimize_compare("ijk,kl,jl", operands=[a, b, c])
      self.optimize_compare("ijk,kl,jl,i->i", operands=[a, b, c, d])
  
      e = np.random.rand(1, 1, 5, 4)
      f = np.random.rand(7, 7)
      self.optimize_compare("abjk,kl,jl", operands=[e, b, c])
      self.optimize_compare("abjk,kl,jl,ab->ab", operands=[e, b, c, f])
  
      # Edge case found in gh-11308
      g = np.arange(64).reshape(2, 4, 8)
      self.optimize_compare("obk,ijk->ioj", operands=[g, g])
  
imports: import functools
  import itertools
  from unittest import expectedFailure, skipIf, SkipTest
  import torch._numpy
  from pytest import raises
  from torch._numpy.testing import assert_, assert_allclose, assert_almost_equal, assert_array_equal, assert_equal, suppress_warnings
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, TestCase
label_desc: Use image node_id 34 for calling the TestEinsum obj's underlying member method code with example usage: obj.test_broadcasting_dot_cases() without return types