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Hi, when I test the model by using pretrained model rawnet2_best_weights.pt, it throws an error in Missing key(s) in state_dict: "block0.0.frm.fc.weight", "block0.0.frm.fc.bias", "block1.0.frm.fc.weight", "block1.0.frm.fc.bias", "block2.0.frm.fc.weight", "block2.0.frm.fc.bias", "block3.0.frm.fc.weight", "block3.0.frm.fc.bias", "block4.0.frm.fc.weight", "block4.0.frm.fc.bias", "block5.0.frm.fc.weight", "block5.0.frm.fc.bias
It seems really missing these parameters after I checked the model by Netron.
Many thanks for your reply in advance.
The text was updated successfully, but these errors were encountered:
Hi, when I test the model by using pretrained model
rawnet2_best_weights.pt
, it throws an errorin Missing key(s) in state_dict: "block0.0.frm.fc.weight", "block0.0.frm.fc.bias", "block1.0.frm.fc.weight", "block1.0.frm.fc.bias", "block2.0.frm.fc.weight", "block2.0.frm.fc.bias", "block3.0.frm.fc.weight", "block3.0.frm.fc.bias", "block4.0.frm.fc.weight", "block4.0.frm.fc.bias", "block5.0.frm.fc.weight", "block5.0.frm.fc.bias
It seems really missing these parameters after I checked the model by Netron.
Many thanks for your reply in advance.
The text was updated successfully, but these errors were encountered: