adjust threshhold for cifar100

graph_dit/test_perf.py

@@ -10,6 +10,7 @@ api = API('./NAS-Bench-201-v1_1-096897.pth')
 parser = argparse.ArgumentParser(description='Process some integers.')
 
 parser.add_argument('--file_path', type=str, default='211035.txt',)
+parser.add_argument('--datasets', type=str, default='cifar10',)
 args = parser.parse_args()
 
 def process_graph_data(text):
@@ -89,6 +90,7 @@ def nodes_to_arch_str(nodes):
     return arch_str
 
 filename = args.file_path
+datasets_name = args.datasets
 
 with open('./output_graphs/' + filename, 'r') as f:
     texts = f.read()
@@ -96,7 +98,15 @@ with open('./output_graphs/' + filename, 'r') as f:
     valid = 0
     not_valid = 0
     scores = []
-    dist = {'<90':0, '<91':0, '<92':0, '<93':0, '<94':0, '>94':0}
+
+    # 定义分类标准和分布字典的映射
+    thresholds = {
+        'cifar10': [90, 91, 92, 93, 94],
+        'cifar100': [68,69,70, 71, 72, 73]
+    }
+    dist = {f'<{threshold}': 0 for threshold in thresholds[datasets_name]}
+    dist[f'>{thresholds[datasets_name][-1]}'] = 0
+
     for i in range(len(df)):
         nodes = df['nodes'][i]
         edges = df['edges'][i]
@@ -105,32 +115,30 @@ with open('./output_graphs/' + filename, 'r') as f:
             valid += 1
             arch_str = nodes_to_arch_str(nodes)
             index = api.query_index_by_arch(arch_str)
-            # results = api.query_by_index(index, 'cifar10', hp='200')
-            # print(results)
-            # result = results[888].get_eval('ori-test')
-            res = api.get_more_info(index, 'cifar10', None, hp=200, is_random=False)
+            res = api.get_more_info(index, datasets_name, None, hp=200, is_random=False)
             acc = res['test-accuracy']
             scores.append((index, acc))
-            if acc < 90:
-                dist['<90'] += 1
-            elif acc < 91 and acc >= 90:
-                dist['<91'] += 1
-            elif acc < 92 and acc >= 91:
-                dist['<92'] += 1
-            elif acc < 93 and acc >= 92: 
-                dist['<93'] += 1
-            elif acc < 94 and acc >= 93:
-                dist['<94'] += 1
-            else:    
-                dist['>94'] += 1
+
+            # 根据阈值更新分布
+            updated = False
+            for threshold in thresholds[datasets_name]:
+                if acc < threshold:
+                    dist[f'<{threshold}'] += 1
+                    updated = True
+                    break
+            if not updated:
+                dist[f'>{thresholds[datasets_name][-1]}'] += 1
         else:
             not_valid += 1
-    with open('./output_graphs/' + filename + '.json', 'w') as f:
+
+    with open('./output_graphs/' + filename + '_' + datasets_name +'.json', 'w') as f:
         json.dump(scores, f)
+
     print(scores)
     print(valid, not_valid)
     print(dist)
     print("mean: ", np.mean([x[1] for x in scores]))
     print("max: ", np.max([x[1] for x in scores]))
     print("min: ", np.min([x[1] for x in scores]))
+