code: def _gen_binary_inputs(self, gen_permute=True):
      for xshape, yshape in [
          [[1, 32, 28, 28], [1, 32, 28, 28]],
          [[1, 32, 28, 28], [1, 1, 28, 28]],
          [[1, 32, 28, 28], [28]],
          [[1, 32, 28, 28], [1]],
      ]:
          yield torch.rand(xshape), torch.rand(yshape)
          if gen_permute and xshape != yshape:
              yield torch.rand(yshape), torch.rand(xshape)
  
imports: import sys
  import torch
  import unittest
  import itertools
  import torch.nn
  from functools import wraps
  from concurrent import futures
  import torch.nn.functional
  import torch.fx.experimental.optimization
  from torch.testing._internal.jit_utils import JitTestCase
  from torch.testing._internal.common_utils import run_tests, TEST_SCIPY, IS_WINDOWS, IS_MACOS
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, onlyCPU, dtypes
label_desc: Use image node_id 9 for calling the TestOp obj's underlying member method code with example usage: obj._gen_binary_inputs(gen_permute) without return types