code: def setUp(self):
      super().setUp()
      self.batch_size = 8
      self.input_dim = 20
      self.hidden_dim = 30
      self.encoder_dim = 40
  
file_path: pytorch/caffe2/python/operator_test/recurrent_net_executor_test.py
imports: from caffe2.proto import caffe2_pb2
  from caffe2.python import model_helper, workspace, core, rnn_cell, test_util
  from caffe2.python.attention import AttentionType
  import numpy
  import unittest
  import caffe2.python.hypothesis_test_util
  import hypothesis.strategies
  from hypothesis import given, settings
label_desc: Use image node_id 1 for calling the TestRNNExecutor obj's underlying member method code with example usage: obj.setUp() without return types