parameters: (self, requests)
return_statement: return responses
docstring: This model ensures that errors in the execute function are properly
          handles.
docstring_summary: This model ensures that errors in the execute function are properly
          handles.
docstring_tokens: This model ensures that errors in the execute function are properly handles .
function: def execute(self, requests):
          """
          This model ensures that errors in the execute function are properly
          handles.
          """
          responses = []
          for request in requests:
              input_tensor = pb_utils.get_input_tensor_by_name(request, "IN")
              out_tensor = pb_utils.Tensor("OUT", input_tensor.as_numpy())
              lorem_ipsum
              responses.append(pb_utils.InferenceResponse([out_tensor]))
          return responses
function_tokens: def execute ( self , requests ) : responses = [ ] for request in requests : input_tensor = pb_utils . get_input_tensor_by_name ( request , "IN" ) out_tensor = pb_utils . Tensor ( "OUT" , input_tensor . as_numpy ( ) ) lorem_ipsum responses . append ( pb_utils . InferenceResponse ( [ out_tensor ] ) ) return responses