code: def testNoTimeDimensionMatchesSingleStep(self):
      cell = tf.keras.layers.LSTMCell(3)
      batch_size = 4
      max_time = 1
      inputs = tf.random.uniform(
          (batch_size, max_time, 2), dtype=tf.float32
      )
      inputs_no_time = tf.squeeze(inputs, axis=1)
      layer = dynamic_unroll_layer.DynamicUnroll(cell, dtype=tf.float32)
      outputs, next_state = layer(inputs)
      outputs_squeezed_time = tf.squeeze(outputs, axis=1)
      outputs_no_time, next_state_no_time = layer(inputs_no_time)
      self.evaluate(tf.compat.v1.global_variables_initializer())
      (
          outputs_squeezed_time,
          next_state,
          outputs_no_time,
          next_state_no_time,
      ) = self.evaluate(
          (
              outputs_squeezed_time,
              next_state,
              outputs_no_time,
              next_state_no_time,
          )
      )
      self.assertAllEqual(outputs_squeezed_time, outputs_no_time)
      self.assertAllEqual(next_state, next_state_no_time)
  
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 4 for calling the DynamicUnrollTest obj's underlying member method code with example usage: obj.testNoTimeDimensionMatchesSingleStep() without return types