Deepfake-Detection-Challenge-DFAD2023
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Runtime error while loading pretrained weights provided
Hi,
Getting the below error while loading provided pretrained weights from test.py:133
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for SwinTransformer: Unexpected key(s) in state_dict: "layers.0.blocks.0.attn.relative_position_index", "layers.0.blocks.1.attn_mask", "layers.0.blocks.1.attn.relative_position_index", "layers.1.blocks.0.attn.relative_position_index", "layers.1.blocks.1.attn_mask", "layers.1.blocks.1.attn.relative_position_index", "layers.2.blocks.0.attn.relative_position_index", "layers.2.blocks.1.attn_mask", "layers.2.blocks.1.attn.relative_position_index", "layers.2.blocks.2.attn.relative_position_index", "layers.2.blocks.3.attn_mask", "layers.2.blocks.3.attn.relative_position_index", "layers.2.blocks.4.attn.relative_position_index", "layers.2.blocks.5.attn_mask", "layers.2.blocks.5.attn.relative_position_index", "layers.2.blocks.6.attn.relative_position_index", "layers.2.blocks.7.attn_mask", "layers.2.blocks.7.attn.relative_position_index", "layers.2.blocks.8.attn.relative_position_index", "layers.2.blocks.9.attn_mask", "layers.2.blocks.9.attn.relative_position_index", "layers.2.blocks.10.attn.relative_position_index", "layers.2.blocks.11.attn_mask", "layers.2.blocks.11.attn.relative_position_index", "layers.2.blocks.12.attn.relative_position_index", "layers.2.blocks.13.attn_mask", "layers.2.blocks.13.attn.relative_position_index", "layers.2.blocks.14.attn.relative_position_index", "layers.2.blocks.15.attn_mask", "layers.2.blocks.15.attn.relative_position_index", "layers.2.blocks.16.attn.relative_position_index", "layers.2.blocks.17.attn_mask", "layers.2.blocks.17.attn.relative_position_index", "layers.3.blocks.0.attn.relative_position_index", "layers.3.blocks.1.attn.relative_position_index".
Command used to run : python test.py --config configs/architecture.yaml --model1_weights weights/SwinDCTfull_checkpoint32.pth --output_path output.json --gpu_id 0 --test_folder demogen1/1_fake --model 2
Can you please help me understand if I'm doing something wrong ?