
"""simple docstring"""

import os
import pickle
import unittest

from transformers import AutoTokenizer
from transformers.models.bert.tokenization_bert import BertTokenizer
from transformers.models.bert_japanese.tokenization_bert_japanese import (
    VOCAB_FILES_NAMES,
    BertJapaneseTokenizer,
    CharacterTokenizer,
    JumanppTokenizer,
    MecabTokenizer,
    SudachiTokenizer,
    WordpieceTokenizer,
)
from transformers.testing_utils import custom_tokenizers, require_jumanpp, require_sudachi

from ...test_tokenization_common import TokenizerTesterMixin
@custom_tokenizers
class   _UpperCAmelCase				(		SCREAMING_SNAKE_CASE_  ,      unittest.TestCase				):
      __SCREAMING_SNAKE_CASE :				List[Any]				   =						BertJapaneseTokenizer
      __SCREAMING_SNAKE_CASE :				Union[str, Any]				   =						False
      __SCREAMING_SNAKE_CASE :				Union[str, Any]				   =						True




      def      a_   (				self				)    ->       Any:
          super().setUp()

          UpperCAmelCase          =       [
              '[UNK]',
              '[CLS]',
              '[SEP]',
              'こんにちは',
              'こん',
              'にちは',
              'ばんは',
              '##こん',
              '##にちは',
              '##ばんは',
              '世界',
              '##世界',
              '、',
              '##、',
              '。',
              '##。',
          ]

          UpperCAmelCase          =       os.path.join(self.tmpdirname ,							VOCAB_FILES_NAMES['vocab_file']				)
          with open(self.vocab_file ,							'w' ,							encoding='utf-8'				) as vocab_writer:
              vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]				)				)




      def      a_   (				self ,							lowercase_				)    ->       List[Any]:
          UpperCAmelCase          =       'こんにちは、世界。 \nこんばんは、世界。'
          UpperCAmelCase          =       'こんにちは 、 世界 。 こんばんは 、 世界 。'
          return input_text, output_text




      def      a_   (				self ,							lowercase_				)    ->       Any:
          UpperCAmelCase      ,				UpperCAmelCase          =       self.get_input_output_texts(lowercase_				)
          UpperCAmelCase          =       tokenizer.encode(lowercase_ ,							add_special_tokens=lowercase_				)
          UpperCAmelCase          =       tokenizer.decode(lowercase_ ,							clean_up_tokenization_spaces=lowercase_				)
          return text, ids




      def      a_   (				self				)    ->       int:
          pass  # TODO add if relevant




      def      a_   (				self				)    ->       Optional[Any]:
          pass  # TODO add if relevant




      def      a_   (				self				)    ->       List[str]:
          pass  # TODO add if relevant




      def      a_   (				self				)    ->       Dict:
          UpperCAmelCase          =       self.tokenizer_class(self.vocab_file				)

          UpperCAmelCase          =       tokenizer.tokenize('こんにちは、世界。\nこんばんは、世界。'				)
          self.assertListEqual(lowercase_ ,							['こんにちは', '、', '世界', '。', 'こん', '##ばんは', '、', '世界', '。']				)
          self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_				) ,							[3, 1_2, 1_0, 1_4, 4, 9, 1_2, 1_0, 1_4]				)




      def      a_   (				self				)    ->       Dict:
          UpperCAmelCase          =       self.tokenizer_class(self.vocab_file ,							word_tokenizer_type='mecab'				)
          self.assertIsNotNone(lowercase_				)

          UpperCAmelCase          =       'こんにちは、世界。\nこんばんは、世界。'
          UpperCAmelCase          =       tokenizer.tokenize(lowercase_				)
          self.assertListEqual(lowercase_ ,							['こんにちは', '、', '世界', '。', 'こん', '##ばんは', '、', '世界', '。']				)
          self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_				) ,							[3, 1_2, 1_0, 1_4, 4, 9, 1_2, 1_0, 1_4]				)

          UpperCAmelCase          =       os.path.join(self.tmpdirname ,							'tokenizer.bin'				)
          with open(lowercase_ ,							'wb'				) as handle:
              pickle.dump(lowercase_ ,							lowercase_				)

          with open(lowercase_ ,							'rb'				) as handle:
              UpperCAmelCase          =       pickle.load(lowercase_				)

          UpperCAmelCase          =       tokenizer_new.tokenize(lowercase_				)

          self.assertListEqual(lowercase_ ,							lowercase_				)




      def      a_   (				self				)    ->       int:
          UpperCAmelCase          =       MecabTokenizer(mecab_dic='ipadic'				)

          self.assertListEqual(
              tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '				) ,							['アップルストア', 'で', 'iPhone', '8', 'が', '発売', 'さ', 'れ', 'た', '。'] ,							)




      def      a_   (				self				)    ->       Any:
          try:
              UpperCAmelCase          =       MecabTokenizer(mecab_dic='unidic_lite'				)
          except ModuleNotFoundError:
              return

          self.assertListEqual(
              tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '				) ,							['アップル', 'ストア', 'で', 'iPhone', '8', 'が', '発売', 'さ', 'れ', 'た', '。'] ,							)




      def      a_   (				self				)    ->       List[Any]:
          try:
              UpperCAmelCase          =       MecabTokenizer(mecab_dic='unidic'				)
          except ModuleNotFoundError:
              return

          self.assertListEqual(
              tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '				) ,							['アップル', 'ストア', 'で', 'iPhone', '8', 'が', '発売', 'さ', 'れ', 'た', '。'] ,							)




      def      a_   (				self				)    ->       Dict:
          UpperCAmelCase          =       MecabTokenizer(do_lower_case=lowercase_ ,							mecab_dic='ipadic'				)

          self.assertListEqual(
              tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '				) ,							['アップルストア', 'で', 'iphone', '8', 'が', '発売', 'さ', 'れ', 'た', '。'] ,							)




      def      a_   (				self				)    ->       List[Any]:
          try:
              UpperCAmelCase          =       MecabTokenizer(
                  do_lower_case=lowercase_ ,							normalize_text=lowercase_ ,							mecab_option='-d /usr/local/lib/mecab/dic/jumandic'				)
          except RuntimeError:
              # if dict doesn't exist in the system, previous code raises this error.
              return

          self.assertListEqual(
              tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '				) ,							['ｱｯﾌﾟﾙストア', 'で', 'iPhone', '８', 'が', '発売', 'さ', 'れた', '\u3000', '。'] ,							)




      def      a_   (				self				)    ->       Any:
          UpperCAmelCase          =       MecabTokenizer(normalize_text=lowercase_ ,							mecab_dic='ipadic'				)

          self.assertListEqual(
              tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '				) ,							['ｱｯﾌﾟﾙストア', 'で', 'iPhone', '８', 'が', '発売', 'さ', 'れ', 'た', '　', '。'] ,							)




      @require_sudachi
      def      a_   (				self				)    ->       Optional[Any]:
          UpperCAmelCase          =       self.tokenizer_class(self.vocab_file ,							word_tokenizer_type='sudachi'				)
          self.assertIsNotNone(lowercase_				)

          UpperCAmelCase          =       'こんにちは、世界。\nこんばんは、世界。'
          UpperCAmelCase          =       tokenizer.tokenize(lowercase_				)
          self.assertListEqual(lowercase_ ,							['こんにちは', '、', '世界', '。', 'こん', '##ばんは', '、', '世界', '。']				)
          self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_				) ,							[3, 1_2, 1_0, 1_4, 4, 9, 1_2, 1_0, 1_4]				)

          UpperCAmelCase          =       os.path.join(self.tmpdirname ,							'tokenizer.bin'				)
          with open(lowercase_ ,							'wb'				) as handle:
              pickle.dump(lowercase_ ,							lowercase_				)

          with open(lowercase_ ,							'rb'				) as handle:
              UpperCAmelCase          =       pickle.load(lowercase_				)

          UpperCAmelCase          =       tokenizer_new.tokenize(lowercase_				)

          self.assertListEqual(lowercase_ ,							lowercase_				)




      @require_sudachi
      def      a_   (				self				)    ->       Any:
          UpperCAmelCase          =       SudachiTokenizer(sudachi_dict_type='core'				)

          self.assertListEqual(
              tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '				) ,							[' ', '\t', 'アップル', 'ストア', 'で', 'iPhone', '8', ' ', 'が', ' ', ' ', '\n ', '発売', 'さ', 'れ', 'た', ' ', '。', ' ', ' '] ,							)




      @require_sudachi
      def      a_   (				self				)    ->       Optional[Any]:
          UpperCAmelCase          =       SudachiTokenizer(sudachi_dict_type='core' ,							sudachi_split_mode='A'				)

          self.assertListEqual(tokenizer.tokenize('外国人参政権'				) ,							['外国', '人', '参政', '権']				)




      @require_sudachi
      def      a_   (				self				)    ->       Optional[Any]:
          UpperCAmelCase          =       SudachiTokenizer(sudachi_dict_type='core' ,							sudachi_split_mode='B'				)

          self.assertListEqual(tokenizer.tokenize('外国人参政権'				) ,							['外国人', '参政権']				)




      @require_sudachi
      def      a_   (				self				)    ->       Optional[Any]:
          UpperCAmelCase          =       SudachiTokenizer(sudachi_dict_type='core' ,							sudachi_split_mode='C'				)

          self.assertListEqual(tokenizer.tokenize('外国人参政権'				) ,							['外国人参政権']				)




      @require_sudachi
      def      a_   (				self				)    ->       str:
          UpperCAmelCase          =       SudachiTokenizer(do_lower_case=lowercase_ ,							sudachi_dict_type='core'				)

          self.assertListEqual(
              tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '				) ,							[' ', '\t', 'アップル', 'ストア', 'で', 'iphone', '8', ' ', 'が', ' ', ' ', '\n ', '発売', 'さ', 'れ', 'た', ' ', '。', ' ', ' '] ,							)




      @require_sudachi
      def      a_   (				self				)    ->       Union[str, Any]:
          UpperCAmelCase          =       SudachiTokenizer(normalize_text=lowercase_ ,							sudachi_dict_type='core'				)

          self.assertListEqual(
              tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '				) ,							[' ', '\t', 'ｱｯﾌﾟﾙ', 'ストア', 'で', 'iPhone', '８', ' ', 'が', ' ', ' ', '\n ', '発売', 'さ', 'れ', 'た', '\u3000', '。', ' ', ' '] ,							)




      @require_sudachi
      def      a_   (				self				)    ->       str:
          UpperCAmelCase          =       SudachiTokenizer(trim_whitespace=lowercase_ ,							sudachi_dict_type='core'				)

          self.assertListEqual(
              tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '				) ,							['アップル', 'ストア', 'で', 'iPhone', '8', 'が', '発売', 'さ', 'れ', 'た', '。'] ,							)




      @require_jumanpp
      def      a_   (				self				)    ->       Dict:
          UpperCAmelCase          =       self.tokenizer_class(self.vocab_file ,							word_tokenizer_type='jumanpp'				)
          self.assertIsNotNone(lowercase_				)

          UpperCAmelCase          =       'こんにちは、世界。\nこんばんは、世界。'
          UpperCAmelCase          =       tokenizer.tokenize(lowercase_				)
          self.assertListEqual(lowercase_ ,							['こんにちは', '、', '世界', '。', 'こん', '##ばんは', '、', '世界', '。']				)
          self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_				) ,							[3, 1_2, 1_0, 1_4, 4, 9, 1_2, 1_0, 1_4]				)

          UpperCAmelCase          =       os.path.join(self.tmpdirname ,							'tokenizer.bin'				)
          with open(lowercase_ ,							'wb'				) as handle:
              pickle.dump(lowercase_ ,							lowercase_				)

          with open(lowercase_ ,							'rb'				) as handle:
              UpperCAmelCase          =       pickle.load(lowercase_				)

          UpperCAmelCase          =       tokenizer_new.tokenize(lowercase_				)

          self.assertListEqual(lowercase_ ,							lowercase_				)




      @require_jumanpp
      def      a_   (				self				)    ->       List[Any]:
          UpperCAmelCase          =       JumanppTokenizer()

          self.assertListEqual(
              tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '				) ,							['アップル', 'ストア', 'で', 'iPhone', '8', '\u3000', 'が', '\u3000', '\u3000', '\u3000', '発売', 'さ', 'れた', '\u3000', '。'] ,							)




      @require_jumanpp
      def      a_   (				self				)    ->       Tuple:
          UpperCAmelCase          =       JumanppTokenizer(do_lower_case=lowercase_				)

          self.assertListEqual(
              tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '				) ,							['アップル', 'ストア', 'で', 'iphone', '8', '\u3000', 'が', '\u3000', '\u3000', '\u3000', '発売', 'さ', 'れた', '\u3000', '。'] ,							)




      @require_jumanpp
      def      a_   (				self				)    ->       str:
          UpperCAmelCase          =       JumanppTokenizer(normalize_text=lowercase_				)

          self.assertListEqual(
              tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '				) ,							['ｱ', 'ｯ', 'ﾌ', 'ﾟ', 'ﾙ', 'ストア', 'で', 'iPhone', '８', '\u3000', 'が', '\u3000', '\u3000', '\u3000', '発売', 'さ', 'れた', '\u3000', '。'] ,							)




      @require_jumanpp
      def      a_   (				self				)    ->       Optional[Any]:
          UpperCAmelCase          =       JumanppTokenizer(trim_whitespace=lowercase_				)

          self.assertListEqual(
              tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '				) ,							['アップル', 'ストア', 'で', 'iPhone', '8', 'が', '発売', 'さ', 'れた', '。'] ,							)




      @require_jumanpp
      def      a_   (				self				)    ->       str:
          UpperCAmelCase          =       JumanppTokenizer()

          self.assertListEqual(
              tokenizer.tokenize('ありがとうございますm(_ _)ｍ見つけるのが大変です。'				) ,							['ありがとう', 'ございます', 'm(_ _)m', '見つける', 'の', 'が', '大変です', '。'] ,							)




      def      a_   (				self				)    ->       List[Any]:
          UpperCAmelCase          =       ['[UNK]', '[CLS]', '[SEP]', 'こんにちは', 'こん', 'にちは', 'ばんは', '##こん', '##にちは', '##ばんは']

          UpperCAmelCase          =       {}
          for i, token in enumerate(lowercase_				):
              UpperCAmelCase          =       i
          UpperCAmelCase          =       WordpieceTokenizer(vocab=lowercase_ ,							unk_token='[UNK]'				)

          self.assertListEqual(tokenizer.tokenize(''				) ,							[]				)

          self.assertListEqual(tokenizer.tokenize('こんにちは'				) ,							['こんにちは']				)

          self.assertListEqual(tokenizer.tokenize('こんばんは'				) ,							['こん', '##ばんは']				)

          self.assertListEqual(tokenizer.tokenize('こんばんは こんばんにちは こんにちは'				) ,							['こん', '##ばんは', '[UNK]', 'こんにちは']				)




      def      a_   (				self				)    ->       Dict:
          UpperCAmelCase          =       BertJapaneseTokenizer.from_pretrained('nlp-waseda/roberta-base-japanese-with-auto-jumanpp'				)
          UpperCAmelCase          =       tokenizer.subword_tokenizer

          UpperCAmelCase          =       subword_tokenizer.tokenize('国境 の 長い トンネル を 抜ける と 雪国 であった 。'				)
          self.assertListEqual(lowercase_ ,							['▁国境', '▁の', '▁長い', '▁トンネル', '▁を', '▁抜ける', '▁と', '▁雪', '国', '▁であった', '▁。']				)

          UpperCAmelCase          =       subword_tokenizer.tokenize('こんばんは こんばん にち は こんにちは'				)
          self.assertListEqual(lowercase_ ,							['▁こん', 'ばん', 'は', '▁こん', 'ばん', '▁に', 'ち', '▁は', '▁こんにちは']				)




      def      a_   (				self				)    ->       Optional[int]:
          UpperCAmelCase          =       self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese'				)

          UpperCAmelCase          =       tokenizer.encode('ありがとう。' ,							add_special_tokens=lowercase_				)
          UpperCAmelCase          =       tokenizer.encode('どういたしまして。' ,							add_special_tokens=lowercase_				)

          UpperCAmelCase          =       tokenizer.build_inputs_with_special_tokens(lowercase_				)
          UpperCAmelCase          =       tokenizer.build_inputs_with_special_tokens(lowercase_ ,							lowercase_				)

          # 2 is for "[CLS]", 3 is for "[SEP]"
          assert encoded_sentence == [2] + text + [3]
          assert encoded_pair == [2] + text + [3] + text_a + [3]

@custom_tokenizers
class   _UpperCAmelCase				(		SCREAMING_SNAKE_CASE_  ,      unittest.TestCase				):
      __SCREAMING_SNAKE_CASE :				Optional[int]				   =						BertJapaneseTokenizer
      __SCREAMING_SNAKE_CASE :				List[str]				   =						False




      def      a_   (				self				)    ->       List[str]:
          super().setUp()

          UpperCAmelCase          =       ['[UNK]', '[CLS]', '[SEP]', 'こ', 'ん', 'に', 'ち', 'は', 'ば', '世', '界', '、', '。']

          UpperCAmelCase          =       os.path.join(self.tmpdirname ,							VOCAB_FILES_NAMES['vocab_file']				)
          with open(self.vocab_file ,							'w' ,							encoding='utf-8'				) as vocab_writer:
              vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]				)				)




      def      a_   (				self ,							**lowercase_				)    ->       Optional[Any]:
          return BertJapaneseTokenizer.from_pretrained(self.tmpdirname ,							subword_tokenizer_type='character' ,							**lowercase_				)




      def      a_   (				self ,							lowercase_				)    ->       List[Any]:
          UpperCAmelCase          =       'こんにちは、世界。 \nこんばんは、世界。'
          UpperCAmelCase          =       'こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。'
          return input_text, output_text




      def      a_   (				self				)    ->       Tuple:
          pass  # TODO add if relevant




      def      a_   (				self				)    ->       List[Any]:
          pass  # TODO add if relevant




      def      a_   (				self				)    ->       int:
          pass  # TODO add if relevant




      def      a_   (				self				)    ->       Optional[Any]:
          UpperCAmelCase          =       self.tokenizer_class(self.vocab_file ,							subword_tokenizer_type='character'				)

          UpperCAmelCase          =       tokenizer.tokenize('こんにちは、世界。 \nこんばんは、世界。'				)
          self.assertListEqual(
              lowercase_ ,							['こ', 'ん', 'に', 'ち', 'は', '、', '世', '界', '。', 'こ', 'ん', 'ば', 'ん', 'は', '、', '世', '界', '。']				)
          self.assertListEqual(
              tokenizer.convert_tokens_to_ids(lowercase_				) ,							[3, 4, 5, 6, 7, 1_1, 9, 1_0, 1_2, 3, 4, 8, 4, 7, 1_1, 9, 1_0, 1_2]				)




      def      a_   (				self				)    ->       Any:
          UpperCAmelCase          =       ['[UNK]', '[CLS]', '[SEP]', 'こ', 'ん', 'に', 'ち', 'は', 'ば', '世', '界', '、', '。']

          UpperCAmelCase          =       {}
          for i, token in enumerate(lowercase_				):
              UpperCAmelCase          =       i
          UpperCAmelCase          =       CharacterTokenizer(vocab=lowercase_ ,							unk_token='[UNK]'				)

          self.assertListEqual(tokenizer.tokenize(''				) ,							[]				)

          self.assertListEqual(tokenizer.tokenize('こんにちは'				) ,							['こ', 'ん', 'に', 'ち', 'は']				)

          self.assertListEqual(tokenizer.tokenize('こんにちほ'				) ,							['こ', 'ん', 'に', 'ち', '[UNK]']				)




      def      a_   (				self				)    ->       Tuple:
          UpperCAmelCase          =       self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese-char'				)

          UpperCAmelCase          =       tokenizer.encode('ありがとう。' ,							add_special_tokens=lowercase_				)
          UpperCAmelCase          =       tokenizer.encode('どういたしまして。' ,							add_special_tokens=lowercase_				)

          UpperCAmelCase          =       tokenizer.build_inputs_with_special_tokens(lowercase_				)
          UpperCAmelCase          =       tokenizer.build_inputs_with_special_tokens(lowercase_ ,							lowercase_				)

          # 2 is for "[CLS]", 3 is for "[SEP]"
          assert encoded_sentence == [2] + text + [3]
          assert encoded_pair == [2] + text + [3] + text_a + [3]

@custom_tokenizers
class   _UpperCAmelCase				(		unittest.TestCase				):




      def      a_   (				self				)    ->       Union[str, Any]:
          UpperCAmelCase          =       'cl-tohoku/bert-base-japanese'
          UpperCAmelCase          =       AutoTokenizer.from_pretrained(lowercase_				)
          self.assertIsInstance(lowercase_ ,							lowercase_				)

class   _UpperCAmelCase				(		unittest.TestCase				):




      def      a_   (				self				)    ->       Any:
          UpperCAmelCase          =       'cl-tohoku/bert-base-japanese'
          with self.assertLogs('transformers' ,							level='WARNING'				) as cm:
              BertTokenizer.from_pretrained(lowercase_				)
              self.assertTrue(
                  cm.records[0].message.startswith(
                      'The tokenizer class you load from this checkpoint is not the same type as the class this function'
                      ' is called from.'				)				)
          UpperCAmelCase          =       'bert-base-cased'
          with self.assertLogs('transformers' ,							level='WARNING'				) as cm:
              BertJapaneseTokenizer.from_pretrained(lowercase_				)
              self.assertTrue(
                  cm.records[0].message.startswith(
                      'The tokenizer class you load from this checkpoint is not the same type as the class this function'
                      ' is called from.'				)				)





"""simple docstring"""

import os
import time

import numpy as np
import onnxruntime as ort


SCREAMING_SNAKE_CASE_            =    '''1'''
SCREAMING_SNAKE_CASE_            =    '''0'''
SCREAMING_SNAKE_CASE_            =    '''1'''

SCREAMING_SNAKE_CASE_            =    ort.SessionOptions()
SCREAMING_SNAKE_CASE_            =    ort.GraphOptimizationLevel.ORT_DISABLE_ALL
print('''Create inference session...''')
SCREAMING_SNAKE_CASE_            =    ['''TensorrtExecutionProvider''', '''CUDAExecutionProvider''']
SCREAMING_SNAKE_CASE_            =    ort.InferenceSession('''model.onnx''', sess_options=sess_opt, providers=execution_provider)
SCREAMING_SNAKE_CASE_            =    ort.RunOptions()

SCREAMING_SNAKE_CASE_            =    128
SCREAMING_SNAKE_CASE_            =    1
SCREAMING_SNAKE_CASE_            =    np.ones((batch, sequence), dtype=np.intaa)
SCREAMING_SNAKE_CASE_            =    np.ones((batch, sequence), dtype=np.intaa)
SCREAMING_SNAKE_CASE_            =    np.ones((batch, sequence), dtype=np.intaa)

print('''Warm up phase...''')
sess.run(
    None,
    {
        sess.get_inputs()[0].name: input_ids,
        sess.get_inputs()[1].name: attention_mask,
        sess.get_inputs()[2].name: token_type_ids,
    },
    run_options=run_opt,
)

print('''Start inference...''')
SCREAMING_SNAKE_CASE_            =    time.time()
SCREAMING_SNAKE_CASE_            =    2000
SCREAMING_SNAKE_CASE_            =    {}
for iter in range(max_iters):
   SCREAMING_SNAKE_CASE_            =    sess.run(
       None,
       {
           sess.get_inputs()[0].name: input_ids,
           sess.get_inputs()[1].name: attention_mask,
           sess.get_inputs()[2].name: token_type_ids,
       },
       run_options=run_opt,
   )
print('''Average Inference Time = {:.3f} ms'''.format((time.time() - start_time) * 1000 / max_iters))



