






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   =  1_28
_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   =  20_00
_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) * 10_00 / max_iters))










class 					SCREAMING_SNAKE_CASE_  :
       """simple docstring"""


       def __init__(				self	:List[Any]):



          """simple docstring"""

          _lowercase              ={}





       def 				UpperCamelCase__						(				self	:str):



          """simple docstring"""

          print(self.vertex)
          for i in self.vertex:
             print(snake_case,      ' -> ',      ' -> '.join([str(snake_case) for j in self.vertex[i]]))





       def 				UpperCamelCase__						(				self	:Any,      snake_case	:int,      snake_case	:int):



          """simple docstring"""

          if from_vertex in self.vertex:
             self.vertex[from_vertex].append(snake_case)
          else:
             # else make a new vertex
             _lowercase              =[to_vertex]





       def 				UpperCamelCase__						(				self	:Union[str, Any]):



          """simple docstring"""

          _lowercase              =[False] * len(self.vertex)

          # call the recursive helper function
          for i in range(len(self.vertex)):
             if not visited[i]:
                self.dfs_recursive(snake_case,      snake_case)





       def 				UpperCamelCase__						(				self	:List[str],      snake_case	:int,      snake_case	:list):



          """simple docstring"""

          _lowercase              =True

          print(snake_case,      end=' ')

          # Recur for all the vertices that are adjacent to this node
          for i in self.vertex:
             if not visited[i]:
                self.dfs_recursive(snake_case,      snake_case)


if __name__ == "__main__":
    _SCREAMING_SNAKE_CASE   =  Graph()
    g.add_edge(0, 1)
    g.add_edge(0, 2)
    g.add_edge(1, 2)
    g.add_edge(2, 0)
    g.add_edge(2, 3)
    g.add_edge(3, 3)

    g.print_graph()
    print("DFS:")
    g.dfs()

    # OUTPUT:
    # 0  ->  1 -> 2
    # 1  ->  2
    # 2  ->  0 -> 3
    # 3  ->  3
    # DFS:
    #  0 1 2 3


