code: def test_index(self):
      A = torch.rand(3, 4)
      B = torch.rand(4, 5)
      i, j, k = dims()
  
      o, l = dims()
      o.size = 2
      r = A[i, k].index(k, [o, l])
      assert torch.allclose(r.order(i, o, l), A.view(-1, 2, 2))
      rr = r.index([o, l], k)
      assert torch.allclose(A, rr.order(i, k))
      z = dims()
      C = torch.arange(2)
      x = A[i, k].index(k, C[z]).order(i, z)
      assert torch.allclose(A[:, 0:2], x)
  
      C = torch.rand(3, 4, 5)
      ik = dims()
      assert torch.allclose(
          C.index((0, 2), ik).order(ik),
          C.permute(0, 2, 1).reshape(15, 4),
      )
  
imports: from functorch.dim import Tensor, Dim, dims, dimlists, stack, DimensionBindError, DimList
  from attn_ft import BertSelfAttention, Linear
  from attn_positional import BertSelfAttention
  from torch.testing._internal.common_utils import TestCase, run_tests, TEST_CUDA
  from unittest import skip, skipIf
  import torch
  import gc
  from functorch._C import dim
  from contextlib import contextmanager
  from time import perf_counter
label_desc: Use image node_id 26 for calling the TestMin obj's underlying member method code with example usage: obj.test_index() without return types