text: #!/usr/bin/env python3
  """
   Copyright (c) 2018 Intel Corporation.
  
   Permission is hereby granted, free of charge, to any person obtaining
   a copy of this software and associated documentation files (the
   "Software"), to deal in the Software without restriction, including
   without limitation the rights to use, copy, modify, merge, publish,
   distribute, sublicense, and/or sell copies of the Software, and to
   permit persons to whom the Software is furnished to do so, subject to
   the following conditions:
  
   The above copyright notice and this permission notice shall be
   included in all copies or substantial portions of the Software.
  
   THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
   EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
   MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
   NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
   LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
   OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
   WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
  """
  
  from openvino.inference_engine import IENetwork, IECore
  
  
  class Network:
      """
      Load and configure inference plugins for the specified target devices 
      and performs synchronous and asynchronous modes for the specified infer requests.
      """
  
      def __init__(self):
          ### TODO: Initialize any class variables desired ###
          self.plugin = IECore()
          self.exec_network = None
          self.net = None
          self.input_layer = None
  
      def load_model(self, xml_path, num_requests, device_name, cpu_extension):
          ### TODO: Load the model ###
          self.net = IENetwork(model=xml_path, weights=xml_path.split('.')[0]+'.bin')
          ### TODO: Check for supported layers ###
          supported_layers = self.plugin.query_network(network = self.net, device_name=device_name)
          unsupported_layers = [l for l in self.net.layers.keys() if l not in supported_layers]
          
          
          if len(unsupported_layers)!=0:
              #print("unsupported layers found:{}".format(unsupported_layers))
              if not cpu_extension==None:
                  #print("Adding cpu_extension")
                  self.plugin.add_extension(cpu_extension, device_name)
                  supported_layers = self.plugin.query_network(network = self.net, device_name=device_name)
                  unsupported_layers = [l for l in self.net.layers.keys() if l not in supported_layers]
                  if len(unsupported_layers)!=0:
                      #print("After adding the extension still unsupported layers found")
                      exit(1)
                  #print("After adding the extension the issue is resolved")
              else:
                  #print("Give the path of cpu extension")
                  exit(1)
          ### TODO: Add any necessary extensions ###
         
          ### TODO: Return the loaded inference plugin ###
          self.exec_network = self.plugin.load_network(network=self.net, num_requests=num_requests, device_name=device_name)
          ### Note: You may need to update the function parameters. ###
          self.input_layer = next(iter(self.net.inputs))
          return
  
      def get_input_shape(self):
          ### TODO: Return the shape of the input layer ###
          
          return self.net.inputs[self.input_layer].shape
  
      def exec_net(self, frame, req_id):
          ### TODO: Start an asynchronous request ###
          ### TODO: Return any necessary information ###
          ### Note: You may need to update the function parameters. ###
          self.exec_network.start_async(request_id=req_id, inputs={self.input_layer:frame})
          return
  
      def wait(self, req_id):
          ### TODO: Wait for the request to be complete. ###
          ### TODO: Return any necessary information ###
          ### Note: You may need to update the function parameters. ###
          return self.exec_network.requests[req_id].wait(-1)
  
      def get_output(self, req_id):
          ### TODO: Extract and return the output results
          ### Note: You may need to update the function parameters. ###
          out = self.exec_network.requests[req_id].outputs
          return [out[i] for i in out.keys()]
  
      
      