추론이 완료되면 결과를 출력하도록 추가

CNN/edge_inference_request_scheduler.py

@@ -141,6 +141,10 @@ def model_request(edge, model, order):
     res = requests.get(url)
     processing_time = time.time() - req_processing_start_time
 
+    inference_time = res.text.split(':')[1]
+    inference_time = inference_time.split('\n')[0]
+    inference_time_results[order-1] = float(inference_time)
+
     print(f'[{order}:{edge}({port})/{model}] total request time: {processing_time}\n{res.text}')
     return
 
@@ -163,6 +167,8 @@ def model_request(edge, model, order):
 threads = []
 order = 0
 
+inference_time_results = [0 for _ in range(len(requests_list))]
+
 for req in requests_list:
     edge_to_inference = get_edge_by_model_rr(req)
     if edge_to_inference is None:
@@ -176,3 +182,22 @@ def model_request(edge, model, order):
 
 for th in threads:
     th.join()
+
+
+# 추론요청 결과 출력 (최소, 최대, 총, 평균)
+inference_time_results.sort()
+len_inference_time_results = len(inference_time_results)
+
+total_inference_time = sum(inference_time_results)
+avg_inference_time = total_inference_time / len_inference_time_results
+min_inference_time = inference_time_results[0]
+mid_inference_time = inference_time_results[int(len_inference_time_results / 2)]
+max_inference_time = inference_time_results[-1]
+
+print(f'\n총 추론 시간: {total_inference_time}')
+print(f'평균 추론 시간: {avg_inference_time}')
+print(f'최소 추론 시간: {min_inference_time}')
+print(f'중간 추론 시간: {mid_inference_time}')
+print(f'최대 추론 시간: {max_inference_time}\n')
+
+