code: def forward(self, arguments, device=None, outputs_to_retain=None):
      num_utterances = arguments[0].shape()[0]
      num_conversations = arguments[1].shape()[0]
  
      if (num_utterances % num_conversations) != 0:
          raise ValueError(
              "Utterance count={} is not a multiple of specified number of conversations={}.".format(
                  num_utterances, num_conversations
              )
          )
  
      # TODO: Also verify that the max conversation length matches actual data
      max_conversation_length = num_utterances / num_conversations
      result = (
          arguments[0]
          .data()
          .as_shape(
              (
                  num_conversations,
                  max_conversation_length,
              )
              + self.arguments[0].shape
          )
      )
      return None, C.cntk_py.Value(result)
  
imports: from __future__ import division
  import numpy
  import pytest
  import cntk
  from .ops_test_utils import cntk_device
  from cntk.tests.test_utils import _to_dense, _to_csr
  from .ops_test_utils import unittest_helper, _test_unary_op, _test_binary_op, AA, precision, PRECISION_TO_TYPE, cntk_device
  from cntk import Value
  from cntk.axis import Axis
  from cntk.internal import sanitize_dtype_cntk
  from ..None import constant
label_desc: Use image node_id 3 for calling the UtteranceBatchReshape obj's underlying member method code with example usage: obj.forward(arguments, device, outputs_to_retain) and returns: None,  C