code: def setup_method(self):
      super().setup_method()
      self.batch_size = 1
      self.input_width = 10
      self.input_height = 10
  
      self.obs_input = np.ones(
          (self.batch_size, self.input_width, self.input_height, 3)
      )
  
      # skip batch size
      self.input_shape = (self.input_width, self.input_height, 3)
  
      self.obs_ph = tf.compat.v1.placeholder(
          tf.float32, shape=(None,) + self.input_shape, name="input"
      )
      self.action_input = np.ones((self.batch_size, 3))
  
      self.action_ph = tf.compat.v1.placeholder(
          tf.float32,
          shape=(None,) + self.action_input.shape[1:],
          name="input",
      )
      self.action_input = np.ones((self.batch_size, 3))
      self.hidden_nonlinearity = tf.nn.relu
  
file_path: garage/tests/garage/tf/models/test_cnn_mlp_merge_model.py
imports: import pickle
  import numpy
  import pytest
  import tensorflow
  from garage.tf.models import CNNMLPMergeModel
  from tests.fixtures import TfGraphTestCase
label_desc: Use image node_id 1 for calling the TestCNNMLPMergeModel obj's underlying member method code with example usage: obj.setup_method() without return types