Fix deep set (#1101)

Author: yiliu30

examples/onnxrt/object_detection/onnx_model_zoo/DUC/quantization/ptq/DUC.yaml

@@ -33,7 +33,6 @@ evaluation:
      configs:                                         # optional. if not specified, use all cores in 1 socket.
        cores_per_instance: 4
        num_of_instance: 1
-  accuracy:
 
 tuning:
   accuracy_criterion:

neural_compressor/conf/dotdict.py

@@ -47,7 +47,7 @@ def deep_set(dictionary, keys, value):
     """
     keys = keys.split('.')
     for key in keys[:-1]:
-        dictionary = dictionary.setdefault(key, {})
+        dictionary = dictionary.setdefault(key, DotDict())
     dictionary[keys[-1]] = value
 
 class DotDict(dict):

test/config/test_config.py

@@ -843,6 +843,24 @@ def test_data_type(self):
         transform_cfg = cfg['quantization']['calibration']['dataloader']['transform']['BilinearImagenet']
         self.assertTrue(isinstance(transform_cfg['mean_value'], list))
 
+    def test_deep_set(self):
+      from neural_compressor.conf.dotdict import DotDict, deep_set
+      cfg = {'evaluation': {'accuracy': {}}}
+      dot_cfg = DotDict(cfg)
+      deep_set(dot_cfg, 'evaluation.accuracy.metric', 'iou')
+      deep_set(dot_cfg, 'evaluation.accuracy.multi_metrics.weight', [0.1, 0,9])
+      deep_set(dot_cfg, 'evaluation.accuracy.multi_metrics.mAP.anno_path', 'anno_path_test')
+      self.assertTrue(dot_cfg.evaluation == dot_cfg['evaluation'])
+      self.assertTrue(dot_cfg.evaluation.accuracy == dot_cfg['evaluation']['accuracy'])
+      self.assertTrue(dot_cfg.evaluation.accuracy.metric == dot_cfg['evaluation']['accuracy']['metric'])
+      self.assertTrue(dot_cfg.evaluation.accuracy.multi_metrics == dot_cfg['evaluation']['accuracy']['multi_metrics'])
+      self.assertTrue(dot_cfg.evaluation.accuracy.multi_metrics.weight == [0.1, 0,9])
+      self.assertTrue(dot_cfg.evaluation.accuracy.multi_metrics.mAP.anno_path == 'anno_path_test')
+      multi_metrics1 = dot_cfg.evaluation.accuracy.multi_metrics 
+      multi_metrics2 = dot_cfg['evaluation']['accuracy']['multi_metrics']
+      self.assertTrue(multi_metrics1 == multi_metrics2)
+      self.assertTrue(list(multi_metrics1.keys()) == ['weight', 'mAP'])
+      
 
 if __name__ == "__main__":
     unittest.main()