






import os
import time

import numpy as np
import onnxruntime as ort


UpperCAmelCase__						:			Optional[int]									='''1'''
UpperCAmelCase__						:			int									='''0'''
UpperCAmelCase__						:			Tuple									='''1'''

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

UpperCAmelCase__						:			List[Any]									=1_28
UpperCAmelCase__						:			str									=1
UpperCAmelCase__						:			Tuple									=np.ones((batch, sequence), dtype=np.intaa)
UpperCAmelCase__						:			Tuple									=np.ones((batch, sequence), dtype=np.intaa)
UpperCAmelCase__						:			List[str]									=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...''')
UpperCAmelCase__						:			Dict									=time.time()
UpperCAmelCase__						:			Optional[Any]									=20_00
UpperCAmelCase__						:			Optional[int]									={}
for iter in range(max_iters):
							UpperCAmelCase__						:			Dict									=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) * 10_00 / max_iters))












from typing import List

from .keymap import KEYMAP, get_character





def      _lowercase					(						_UpperCAmelCase				)						->  Tuple:

				def decorator(_UpperCAmelCase				):
								lowerCamelCase	 =getattr(_UpperCAmelCase			,      """handle_key"""			,      []				)
								handle += [key]
								setattr(_UpperCAmelCase			,      """handle_key"""			,      _UpperCAmelCase				)
								return func

				return decorator





def      _lowercase					(						*_UpperCAmelCase				)						->  Tuple:

				def decorator(_UpperCAmelCase				):
								lowerCamelCase	 =getattr(_UpperCAmelCase			,      """handle_key"""			,      []				)
								handle += keys
								setattr(_UpperCAmelCase			,      """handle_key"""			,      _UpperCAmelCase				)
								return func

				return decorator

class       __A     (						a    ):


				def __new__(		cls   , UpperCAmelCase_   , UpperCAmelCase_   , UpperCAmelCase_							):
								lowerCamelCase	 =super().__new__(cls   , UpperCAmelCase_   , UpperCAmelCase_   , UpperCAmelCase_							)
								if not hasattr(UpperCAmelCase_   , """key_handler"""							):
												setattr(UpperCAmelCase_   , """key_handler"""   , {}							)
								setattr(UpperCAmelCase_   , """handle_input"""   , KeyHandler.handle_input							)

								for value in attrs.values():
												lowerCamelCase	 =getattr(UpperCAmelCase_   , """handle_key"""   , []							)
												for key in handled_keys:
																lowerCamelCase	 =value
								return new_cls


				@staticmethod
				def _snake_case       (		cls							):
								lowerCamelCase	 =get_character()
								if char != KEYMAP["undefined"]:
												lowerCamelCase	 =ord(UpperCAmelCase_							)
								lowerCamelCase	 =cls.key_handler.get(UpperCAmelCase_							)
								if handler:
												lowerCamelCase	 =char
												return handler(cls							)
								else:
												return None





def      _lowercase					(						cls				)						->  List[str]:
				return KeyHandler(cls.__name__			,      cls.__bases__			,      cls.__dict__.copy()				)





