class_docstr: An abstract base class for sentence breaker implementations.
class_docstr_tok: ["An","abstract","base","class","for","sentence","breaker","implementations","."]
docstr: Splits `input` into sentences.
  
  Args:
     input: A string `Tensor` of shape [batch] with a batch of documents.
  
  Returns:
     A string `RaggedTensor` of shape [batch, (num_sentences)] with each input
     broken up into its constituent sentences.
docstr_tok: ["Splits","`","input","`","into","sentences",".","Args",":","input",":","A","string","`","Tensor","`","of","shape","[","batch","]","with","a","batch","of","documents",".","Returns",":","A","string","`","RaggedTensor","`","of","shape","[","batch",",","(","num_sentences",")","]","with","each","input","broken","up","into","its","constituent","sentences","."]
code: def break_sentences(self, input):  # pylint: disable=redefined-builtin
      """Splits `input` into sentences.
  
      Args:
         input: A string `Tensor` of shape [batch] with a batch of documents.
  
      Returns:
         A string `RaggedTensor` of shape [batch, (num_sentences)] with each input
         broken up into its constituent sentences.
      """
      raise NotImplementedError()
  
file_path: text/tensorflow_text/python/ops/sentence_breaking_ops.py
imports: import abc
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.util import deprecation
  from tensorflow.python.framework import load_library
  from tensorflow.python.platform import resource_loader
label_desc: Use image node_id 1 for calling the SentenceBreaker obj's underlying member method code with example usage: obj.break_sentences(input) without return types