[Fix] Fix training of VPD model (#3323)

configs/vpd/vpd_sd_4xb8-25k_nyu-480x480.py

@@ -27,7 +27,7 @@ default_hooks = dict(checkpoint=dict(save_best='rmse', rule='less'))
 
 # custom optimizer
 optim_wrapper = dict(
-    type='ForceDefaultOptimWrapperConstructor',
+    constructor='ForceDefaultOptimWrapperConstructor',
     paramwise_cfg=dict(
         bias_decay_mult=0,
         force_default_settings=True,

mmseg/datasets/transforms/transforms.py

@@ -1027,7 +1027,7 @@ class RandomFlip(MMCV_RandomFlip):
         for key in results.get('seg_fields', []):
             if results.get(key, None) is not None:
                 results[key] = self._flip_seg_map(
-                    results[key], direction=results['flip_direction'])
+                    results[key], direction=results['flip_direction']).copy()
                 results['swap_seg_labels'] = self.swap_seg_labels