code: def testInputSignatureForNestedPerReplicaValues(self, distribution):
      a = np.ones((10, 2)) * 5
      b = np.ones((10, 3)) * 6
      dataset = dataset_ops.DatasetV2.from_tensor_slices((a, b)).batch(
          2
      )
  
      dist_dataset = distribution.experimental_distribute_dataset(
          dataset
      )
  
      @def_function.function(
          input_signature=[dist_dataset.element_spec]
      )
      def process_inputs(inputs):
          distribution.run(lambda inputs: inputs, args=(inputs,))
  
      for x in dist_dataset:
          process_inputs(x)
  
imports: import os
  from absl.testing import parameterized
  import numpy
  from tensorflow.python import tf2
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import readers
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.distribute import test_util
  from tensorflow.python.distribute import tpu_strategy
  from tensorflow.python.distribute import values
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.util import nest
label_desc: Use image node_id 2 for calling the InputTypeSpecTest obj's underlying member method code with example usage: obj.testInputSignatureForNestedPerReplicaValues(distribution) without return types