






import os
import time

import numpy as np
import onnxruntime as ort


snake_case__   :						Tuple													=   """1"""
snake_case__   :						Optional[int]													=   """0"""
snake_case__   :						Any													=   """1"""

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

snake_case__   :						Optional[int]													=   1_2_8
snake_case__   :						Optional[int]													=   1
snake_case__   :						Union[str, Any]													=   np.ones((batch, sequence), dtype=np.intaa)
snake_case__   :						int													=   np.ones((batch, sequence), dtype=np.intaa)
snake_case__   :						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...""")
snake_case__   :						str													=   time.time()
snake_case__   :						Tuple													=   2_0_0_0
snake_case__   :						Dict													=   {}
for iter in range(max_iters):
 snake_case__   :						Tuple													=   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) * 1_0_0_0 / max_iters))










from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *



