






import os
import time

import numpy as np
import onnxruntime as ort


__UpperCamelCase      :      List[str]     						=						"""1"""
__UpperCamelCase      :      Any     						=						"""0"""
__UpperCamelCase      :      Dict     						=						"""1"""

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

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












from __future__ import annotations





def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	if len(lowerCamelCase					) < 2:
		raise ValueError("""Monogons and Digons are not polygons in the Euclidean space"""					)
	if any(i <= 0 for i in nums					):
		raise ValueError("""All values must be greater than 0"""					)
	__lowercase             =  nums.copy()
	copy_nums.sort()
	return copy_nums[-1] < sum(copy_nums[:-1]					)


if __name__ == "__main__":
						import doctest

						doctest.testmod()

