Pretrained in EncoderDecoder

multi_temporal_crop_classification_Prithvi_100M.py

@@ -185,9 +185,9 @@ norm_cfg = dict(type='BN', requires_grad=True)
 model = dict(
     type='TemporalEncoderDecoder',
     frozen_backbone=False,
+    pretrained=pretrained_weights_path,
     backbone=dict(
         type='TemporalViTEncoder',
-        pretrained=pretrained_weights_path,
         img_size=img_size,
         patch_size=patch_size,
         num_frames=num_frames,