code: def testDynamicUnrollMatchesDynamicRNNWhenNoResetSingleTimeStep(
      self, with_mask
  ):
      cell = tf.compat.v1.nn.rnn_cell.LSTMCell(3)
      batch_size = 4
      max_time = 1
      inputs = tf.random.uniform(
          (batch_size, max_time, 2), dtype=tf.float32
      )
      layer = dynamic_unroll_layer.DynamicUnroll(cell, dtype=tf.float32)
      if with_mask:
          reset_mask = tf.zeros((batch_size, max_time), dtype=tf.bool)
      else:
          reset_mask = None
      outputs_dun, final_state_dun = layer(
          inputs, reset_mask=reset_mask
      )
      outputs_drnn, final_state_drnn = tf.compat.v1.nn.dynamic_rnn(
          cell, inputs, dtype=tf.float32
      )
      self.evaluate(tf.compat.v1.global_variables_initializer())
      (
          outputs_dun,
          final_state_dun,
          outputs_drnn,
          final_state_drnn,
      ) = self.evaluate(
          (outputs_dun, final_state_dun, outputs_drnn, final_state_drnn)
      )
      self.assertAllClose(outputs_dun, outputs_drnn)
      self.assertAllClose(final_state_dun, final_state_drnn)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.keras_layers import dynamic_unroll_layer
label_desc: Use image node_id 3 for calling the DynamicUnrollTest obj's underlying member method code with example usage: obj.testDynamicUnrollMatchesDynamicRNNWhenNoResetSingleTimeStep(with_mask) without return types