code: def testBuild(self):
      output_spec = tensor_spec.BoundedTensorSpec([2], tf.float32, 0, 1)
      network = normal_projection_network.NormalProjectionNetwork(
          output_spec, scale_distribution=False
      )
  
      inputs = _get_inputs(batch_size=3, num_input_dims=5)
  
      distribution, _ = network(inputs, outer_rank=1)
      self.evaluate(tf.compat.v1.global_variables_initializer())
      self.assertIsInstance(
          distribution, tfp.distributions.MultivariateNormalDiag
      )
  
      means, stds = distribution.mean(), distribution.stddev()
  
      self.assertAllEqual(
          means.shape.as_list(), [3] + output_spec.shape.as_list()
      )
      self.assertAllEqual(
          stds.shape.as_list(), [3] + output_spec.shape.as_list()
      )
  
file_path: agents/tf_agents/networks/normal_projection_network_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.networks import normal_projection_network
  from tf_agents.specs import tensor_spec
  from tf_agents.utils import common
label_desc: Use image node_id 1 for calling the NormalProjectionNetworkTest obj's underlying member method code with example usage: obj.testBuild() without return types