class_docstr: Test case for the patch module.
class_docstr_tok: ["Test","case","for","the","patch","module","."]
code: def testRNNForward(self, _, rnn_constructor):
      num_layers = 2
      hidden_size = 20
      num_feats = 10
  
      batch_size = 3
      seq_length = 5
  
      for _ in range(10):
          rnn = rnn_constructor(num_feats, hidden_size, num_layers)
          frnn = higher.patch.monkeypatch(rnn)
  
          inputs = torch.randn(seq_length, batch_size, num_feats)
  
          output, state = rnn(inputs)
          foutput, fstate = frnn(inputs)
  
          torch.testing.assert_allclose(output, foutput)
          if isinstance(state, tuple):
              self.assertEqual(len(state), len(fstate))
              for s, fs in zip(state, fstate):
                  torch.testing.assert_allclose(s, fs)
          else:
              torch.testing.assert_allclose(state, fstate)
  
imports: import unittest
  from parameterized import parameterized
  import torch
  from torch import nn
  import higher
label_desc: Use image node_id 8 for calling the TestPatch obj's underlying member method code with example usage: obj.testRNNForward(_, rnn_constructor) without return types