code: def setup_method(self):
      super().setup_method()
      self.batch_size = 5
      self.input_width = 10
      self.input_height = 10
      self.obs_input = np.ones(
          (self.batch_size, self.input_width, self.input_height, 3)
      )
  
      self.input_dim = self.obs_input.shape[
          1:
      ]  # height, width, channel
      self._input_ph = tf.compat.v1.placeholder(
          tf.float32, shape=(None,) + self.input_dim, name="input"
      )
      self.hidden_nonlinearity = tf.nn.relu
  
file_path: garage/tests/garage/tf/models/test_cnn.py
imports: import numpy
  import pytest
  import tensorflow
  from garage.tf.models.cnn import cnn, cnn_with_max_pooling
  from tests.fixtures import TfGraphTestCase
  from tests.helpers import convolve, max_pooling
label_desc: Use image node_id 1 for calling the TestCNN obj's underlying member method code with example usage: obj.setup_method() without return types