code: def testBuild(self):
      sequential = sequential_lib.Sequential(
          [
              tf.keras.layers.Dense(4, use_bias=False),
              tf.keras.layers.ReLU(),
          ]
      )
      inputs = np.ones((2, 3))
      out, _ = sequential(inputs)
      self.evaluate(tf.compat.v1.global_variables_initializer())
      out = self.evaluate(out)
      weights = self.evaluate(sequential.layers[0].weights[0])
      expected = np.dot(inputs, weights)
      expected[expected < 0] = 0
      self.assertAllClose(expected, out)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl import flags
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.distributions import utils
  from tf_agents.keras_layers import dynamic_unroll_layer
  from tf_agents.keras_layers import inner_reshape
  from tf_agents.networks import nest_map
  from tf_agents.networks import network
  from tf_agents.networks import sequential
  from tf_agents.policies import actor_policy
  from tf_agents.policies import policy_saver
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 4 for calling the SequentialTest obj's underlying member method code with example usage: obj.testBuild() without return types