code: def __init__(
      self,
      utterances,
      conversation_lengths,
      name="utterance_batch_reshape",
  ):
      super(UtteranceBatchReshape, self).__init__(
          [utterances, conversation_lengths], as_numpy=False, name=name
      )
      if len(utterances.dynamic_axes) != 1:
          raise ValueError(
              "UtteranceBatchReshape's 'utterances' argument must be a non-sequence (denotes the thought vectors derived from utterance sequences."
          )
  
      if len(conversation_lengths.dynamic_axes) != 1:
          raise ValueError(
              "UtteranceBatchReshape's 'conversation_lengths' argument must have exactly one dynamic axis (denotes a batch of sequence lengths)."
          )
  
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 1 to create a new UtteranceBatchReshape object from inherited base classes: C.ops.functions with example: obj = UtteranceBatchReshape(utterances, conversation_lengths, name)