class_docstr: Normalizes a tensor of UTF-8 strings.
class_docstr_tok: ["Normalizes","a","tensor","of","UTF-8","strings","."]
docstr: Tokenizes a tensor of UTF-8 strings.
  
  ### Example:
  
  >>> texts = [["They're", "the", "Greatest", "\xC0bc"]]
  >>> normalizer = FastBertNormalizer(lower_case_nfd_strip_accents=True)
  >>> normalizer.normalize(texts)
  <tf.RaggedTensor [[b"they're", b'the', b'greatest', b'abc']]>
  
  Args:
    input: An N-dimensional `Tensor` or `RaggedTensor` of UTF-8 strings.
  
  Returns:
    An N-dimensional `Tensor` or `RaggedTensor` of UTF-8 strings.
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code: def normalize(self, input):  # pylint: disable=redefined-builtin
      r"""Tokenizes a tensor of UTF-8 strings.
  
      ### Example:
  
      >>> texts = [["They're", "the", "Greatest", "\xC0bc"]]
      >>> normalizer = FastBertNormalizer(lower_case_nfd_strip_accents=True)
      >>> normalizer.normalize(texts)
      <tf.RaggedTensor [[b"they're", b'the', b'greatest', b'abc']]>
  
      Args:
        input: An N-dimensional `Tensor` or `RaggedTensor` of UTF-8 strings.
  
      Returns:
        An N-dimensional `Tensor` or `RaggedTensor` of UTF-8 strings.
      """
      normalized_texts, _ = self._normalize_with_offsets_helper(
          input, get_offsets=False
      )
      return normalized_texts
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensorflow.python.eager import monitoring
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.module import module
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged.ragged_tensor import RaggedTensor
  from tensorflow_text.core.pybinds import pywrap_fast_bert_normalizer_model_builder
  from tensorflow.python.framework import load_library
  from tensorflow.python.platform import resource_loader
label_desc: Use image node_id 2 for calling the FastBertNormalizer obj's underlying member method code with example usage: obj.normalize(input) and returns: normalized_texts