'''simple docstring'''


import importlib.metadata
import operator
import re
import sys
from typing import Optional

from packaging import version


snake_case__					:      Optional[Any]				      =  {
    '''<''': operator.lt,
    '''<=''': operator.le,
    '''==''': operator.eq,
    '''!=''': operator.ne,
    '''>=''': operator.ge,
    '''>''': operator.gt,
}


def  _lowerCamelCase   (				lowerCamelCase_ :							Optional[int]     ,					lowerCamelCase_ :							Any     ,					lowerCamelCase_ :							List[str]     ,					lowerCamelCase_ :							Dict     ,					lowerCamelCase_ :							Tuple     ,					lowerCamelCase_ :							str       ):



     """simple docstring"""





     if got_ver is None or want_ver is None:
          raise ValueError(
              F'''Unable to compare versions for {requirement}: need={want_ver} found={got_ver}. This is unusual. Consider'''
              F''' reinstalling {pkg}.'''       )
     if not ops[op](version.parse(lowerCamelCase_       )     ,					version.parse(lowerCamelCase_       )       ):
          raise ImportError(
              F'''{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}'''       )


def  _lowerCamelCase   (				lowerCamelCase_ :							str     ,					lowerCamelCase_ :							Optional[str] = None       ):



     """simple docstring"""





     UpperCAmelCase_							:       Any       =				F'''\n{hint}''' if hint is not None else ''

     # non-versioned check
     if re.match(R'^[\w_\-\d]+$'     ,					lowerCamelCase_       ):
          UpperCAmelCase_       ,      UpperCAmelCase_       ,      UpperCAmelCase_							:       Tuple       =				requirement, None, None
     else:
          UpperCAmelCase_							:       str       =				re.findall(R'^([^!=<>\s]+)([\s!=<>]{1,2}.+)'     ,					lowerCamelCase_       )
          if not match:
               raise ValueError(
                   'requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23, but'
                   F''' got {requirement}'''       )
          UpperCAmelCase_       ,      UpperCAmelCase_							:       Any       =				match[0]
          UpperCAmelCase_							:       Any       =				want_full.split(','       )  # there could be multiple requirements
          UpperCAmelCase_							:       str       =				{}
          for w in want_range:
               UpperCAmelCase_							:       List[Any]       =				re.findall(R'^([\s!=<>]{1,2})(.+)'     ,					lowerCamelCase_       )
               if not match:
                    raise ValueError(
                        'requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23,'
                        F''' but got {requirement}'''       )
               UpperCAmelCase_       ,      UpperCAmelCase_							:       Optional[int]       =				match[0]
               UpperCAmelCase_							:       List[Any]       =				want_ver
               if op not in ops:
                    raise ValueError(F'''{requirement}: need one of {list(ops.keys()       )}, but got {op}'''       )

    # special case
     if pkg == "python":
          UpperCAmelCase_							:       Union[str, Any]       =				'.'.join([str(lowerCamelCase_       ) for x in sys.version_info[:3]]       )
          for op, want_ver in wanted.items():
               _compare_versions(lowerCamelCase_     ,					lowerCamelCase_     ,					lowerCamelCase_     ,					lowerCamelCase_     ,					lowerCamelCase_     ,					lowerCamelCase_       )
          return

     # check if any version is installed
     try:
          UpperCAmelCase_							:       List[str]       =				importlib.metadata.version(lowerCamelCase_       )
     except importlib.metadata.PackageNotFoundError:
          raise importlib.metadata.PackageNotFoundError(
              F'''The \'{requirement}\' distribution was not found and is required by this application. {hint}'''       )

     # check that the right version is installed if version number or a range was provided
     if want_ver is not None:
          for op, want_ver in wanted.items():
               _compare_versions(lowerCamelCase_     ,					lowerCamelCase_     ,					lowerCamelCase_     ,					lowerCamelCase_     ,					lowerCamelCase_     ,					lowerCamelCase_       )





def  _lowerCamelCase   (				lowerCamelCase_ :							Any       ):



     """simple docstring"""





     UpperCAmelCase_							:       List[Any]       =				'Try: pip install transformers -U or pip install -e \'.[dev]\' if you\'re working with git main'
     return require_version(lowerCamelCase_     ,					lowerCamelCase_       )







'''simple docstring'''


import os
import time

import numpy as np
import onnxruntime as ort


snake_case__					:      Optional[int]				      =  '''1'''
snake_case__					:      str				      =  '''0'''
snake_case__					:      List[str]				      =  '''1'''

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

snake_case__					:      List[Any]				      =  128
snake_case__					:      Union[str, Any]				      =  1
snake_case__					:      Tuple				      =  np.ones((batch, sequence), dtype=np.intaa)
snake_case__					:      Tuple				      =  np.ones((batch, sequence), dtype=np.intaa)
snake_case__					:      Union[str, Any]				      =  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...''')
snake_case__					:      Union[str, Any]				      =  time.time()
snake_case__					:      str				      =  2000
snake_case__					:      Tuple				      =  {}
for iter in range(max_iters):
 snake_case__					:      str				      =  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))






