code: def test_einsum_fixed_collapsingbug(self):
      # Issue #5147.
      # The bug only occurred when output argument of einssum was used.
      x = np.random.normal(0, 1, (5, 5, 5, 5))
      y1 = np.zeros((5, 5))
      np.einsum("aabb->ab", x, out=y1)
      idx = np.arange(5)
      y2 = x[idx[:, None], idx[:, None], idx, idx]
      assert_equal(y1, y2)
  
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 18 for calling the TestEinsum obj's underlying member method code with example usage: obj.test_einsum_fixed_collapsingbug() without return types