Mac osx vr issue with new echo removal

Last Error Received:

Process: Ensemble Mode

If this error persists, please contact the developers with the error details.

Raw Error Details:

RuntimeError: "Error(s) in loading state_dict for CascadedASPPNet: Missing key(s) in state_dict: "stg1_low_band_net.enc1.conv1.conv.0.weight", "stg1_low_band_net.enc1.conv1.conv.1.weight", "stg1_low_band_net.enc1.conv1.conv.1.bias", "stg1_low_band_net.enc1.conv1.conv.1.running_mean", "stg1_low_band_net.enc1.conv1.conv.1.running_var", "stg1_low_band_net.enc1.conv2.conv.0.weight", "stg1_low_band_net.enc1.conv2.conv.1.weight", "stg1_low_band_net.enc1.conv2.conv.1.bias", "stg1_low_band_net.enc1.conv2.conv.1.running_mean", "stg1_low_band_net.enc1.conv2.conv.1.running_var", "stg1_low_band_net.enc2.conv1.conv.0.weight", "stg1_low_band_net.enc2.conv1.conv.1.weight", "stg1_low_band_net.enc2.conv1.conv.1.bias", "stg1_low_band_net.enc2.conv1.conv.1.running_mean", "stg1_low_band_net.enc2.conv1.conv.1.running_var", "stg1_low_band_net.enc2.conv2.conv.0.weight", "stg1_low_band_net.enc2.conv2.conv.1.weight", "stg1_low_band_net.enc2.conv2.conv.1.bias", "stg1_low_band_net.enc2.conv2.conv.1.running_mean", "stg1_low_band_net.enc2.conv2.conv.1.running_var", "stg1_low_band_net.enc3.conv1.conv.0.weight", "stg1_low_band_net.enc3.conv1.conv.1.weight", "stg1_low_band_net.enc3.conv1.conv.1.bias", "stg1_low_band_net.enc3.conv1.conv.1.running_mean", "stg1_low_band_net.enc3.conv1.conv.1.running_var", "stg1_low_band_net.enc3.conv2.conv.0.weight", "stg1_low_band_net.enc3.conv2.conv.1.weight", "stg1_low_band_net.enc3.conv2.conv.1.bias", "stg1_low_band_net.enc3.conv2.conv.1.running_mean", "stg1_low_band_net.enc3.conv2.conv.1.running_var", "stg1_low_band_net.enc4.conv1.conv.0.weight", "stg1_low_band_net.enc4.conv1.conv.1.weight", "stg1_low_band_net.enc4.conv1.conv.1.bias", "stg1_low_band_net.enc4.conv1.conv.1.running_mean", "stg1_low_band_net.enc4.conv1.conv.1.running_var", "stg1_low_band_net.enc4.conv2.conv.0.weight", "stg1_low_band_net.enc4.conv2.conv.1.weight", "stg1_low_band_net.enc4.conv2.conv.1.bias", "stg1_low_band_net.enc4.conv2.conv.1.running_mean", "stg1_low_band_net.enc4.conv2.conv.1.running_var", "stg1_low_band_net.aspp.conv1.1.conv.0.weight", "stg1_low_band_net.aspp.conv1.1.conv.1.weight", "stg1_low_band_net.aspp.conv1.1.conv.1.bias", "stg1_low_band_net.aspp.conv1.1.conv.1.running_mean", "stg1_low_band_net.aspp.conv1.1.conv.1.running_var", "stg1_low_band_net.aspp.conv2.conv.0.weight", "stg1_low_band_net.aspp.conv2.conv.1.weight", "stg1_low_band_net.aspp.conv2.conv.1.bias", "stg1_low_band_net.aspp.conv2.conv.1.running_mean", "stg1_low_band_net.aspp.conv2.conv.1.running_var", "stg1_low_band_net.aspp.conv3.conv.0.weight", "stg1_low_band_net.aspp.conv3.conv.1.weight", "stg1_low_band_net.aspp.conv3.conv.2.weight", "stg1_low_band_net.aspp.conv3.conv.2.bias", "stg1_low_band_net.aspp.conv3.conv.2.running_mean", "stg1_low_band_net.aspp.conv3.conv.2.running_var", "stg1_low_band_net.aspp.conv4.conv.0.weight", "stg1_low_band_net.aspp.conv4.conv.1.weight", "stg1_low_band_net.aspp.conv4.conv.2.weight", "stg1_low_band_net.aspp.conv4.conv.2.bias", "stg1_low_band_net.aspp.conv4.conv.2.running_mean", "stg1_low_band_net.aspp.conv4.conv.2.running_var", "stg1_low_band_net.aspp.conv5.conv.0.weight", "stg1_low_band_net.aspp.conv5.conv.1.weight", "stg1_low_band_net.aspp.conv5.conv.2.weight", "stg1_low_band_net.aspp.conv5.conv.2.bias", "stg1_low_band_net.aspp.conv5.conv.2.running_mean", "stg1_low_band_net.aspp.conv5.conv.2.running_var", "stg1_low_band_net.aspp.bottleneck.0.conv.0.weight", "stg1_low_band_net.aspp.bottleneck.0.conv.1.weight", "stg1_low_band_net.aspp.bottleneck.0.conv.1.bias", "stg1_low_band_net.aspp.bottleneck.0.conv.1.running_mean", "stg1_low_band_net.aspp.bottleneck.0.conv.1.running_var", "stg1_low_band_net.dec4.conv.conv.0.weight", "stg1_low_band_net.dec4.conv.conv.1.weight", "stg1_low_band_net.dec4.conv.conv.1.bias", "stg1_low_band_net.dec4.conv.conv.1.running_mean", "stg1_low_band_net.dec4.conv.conv.1.running_var", "stg1_low_band_net.dec3.conv.conv.0.weight", "stg1_low_band_net.dec3.conv.conv.1.weight", "stg1_low_band_net.dec3.conv.conv.1.bias", "stg1_low_band_net.dec3.conv.conv.1.running_mean", "stg1_low_band_net.dec3.conv.conv.1.running_var", "stg1_low_band_net.dec2.conv.conv.0.weight", "stg1_low_band_net.dec2.conv.conv.1.weight", "stg1_low_band_net.dec2.conv.conv.1.bias", "stg1_low_band_net.dec2.conv.conv.1.running_mean", "stg1_low_band_net.dec2.conv.conv.1.running_var", "stg1_low_band_net.dec1.conv.conv.0.weight", "stg1_low_band_net.dec1.conv.conv.1.weight", "stg1_low_band_net.dec1.conv.conv.1.bias", "stg1_low_band_net.dec1.conv.conv.1.running_mean", "stg1_low_band_net.dec1.conv.conv.1.running_var", "stg1_high_band_net.enc1.conv1.conv.0.weight", "stg1_high_band_net.enc1.conv1.conv.1.weight", "stg1_high_band_net.enc1.conv1.conv.1.bias", "stg1_high_band_net.enc1.conv1.conv.1.running_mean", "stg1_high_band_net.enc1.conv1.conv.1.running_var", "stg1_high_band_net.enc1.conv2.conv.0.weight", "stg1_high_band_net.enc1.conv2.conv.1.weight", "stg1_high_band_net.enc1.conv2.conv.1.bias", "stg1_high_band_net.enc1.conv2.conv.1.running_mean", "stg1_high_band_net.enc1.conv2.conv.1.running_var", "stg1_high_band_net.aspp.conv3.conv.2.weight", "stg1_high_band_net.aspp.conv3.conv.2.bias", "stg1_high_band_net.aspp.conv3.conv.2.running_mean", "stg1_high_band_net.aspp.conv3.conv.2.running_var", "stg1_high_band_net.aspp.conv4.conv.2.weight", "stg1_high_band_net.aspp.conv4.conv.2.bias", "stg1_high_band_net.aspp.conv4.conv.2.running_mean", "stg1_high_band_net.aspp.conv4.conv.2.running_var", "stg1_high_band_net.aspp.conv5.conv.2.weight", "stg1_high_band_net.aspp.conv5.conv.2.bias", "stg1_high_band_net.aspp.conv5.conv.2.running_mean", "stg1_high_band_net.aspp.conv5.conv.2.running_var", "stg1_high_band_net.aspp.bottleneck.0.conv.0.weight", "stg1_high_band_net.aspp.bottleneck.0.conv.1.weight", "stg1_high_band_net.aspp.bottleneck.0.conv.1.bias", "stg1_high_band_net.aspp.bottleneck.0.conv.1.running_mean", "stg1_high_band_net.aspp.bottleneck.0.conv.1.running_var", "stg1_high_band_net.dec4.conv.conv.0.weight", "stg1_high_band_net.dec4.conv.conv.1.weight", "stg1_high_band_net.dec4.conv.conv.1.bias", "stg1_high_band_net.dec4.conv.conv.1.running_mean", "stg1_high_band_net.dec4.conv.conv.1.running_var", "stg1_high_band_net.dec3.conv.conv.0.weight", "stg1_high_band_net.dec3.conv.conv.1.weight", "stg1_high_band_net.dec3.conv.conv.1.bias", "stg1_high_band_net.dec3.conv.conv.1.running_mean", "stg1_high_band_net.dec3.conv.conv.1.running_var", "stg1_high_band_net.dec2.conv.conv.0.weight", "stg1_high_band_net.dec2.conv.conv.1.weight", "stg1_high_band_net.dec2.conv.conv.1.bias", "stg1_high_band_net.dec2.conv.conv.1.running_mean", "stg1_high_band_net.dec2.conv.conv.1.running_var", "stg1_high_band_net.dec1.conv.conv.0.weight", "stg1_high_band_net.dec1.conv.conv.1.weight", "stg1_high_band_net.dec1.conv.conv.1.bias", "stg1_high_band_net.dec1.conv.conv.1.running_mean", "stg1_high_band_net.dec1.conv.conv.1.running_var", "stg2_bridge.conv.0.weight", "stg2_bridge.conv.1.weight", "stg2_bridge.conv.1.bias", "stg2_bridge.conv.1.running_mean", "stg2_bridge.conv.1.running_var", "stg2_full_band_net.enc1.conv1.conv.0.weight", "stg2_full_band_net.enc1.conv1.conv.1.weight", "stg2_full_band_net.enc1.conv1.conv.1.bias", "stg2_full_band_net.enc1.conv1.conv.1.running_mean", "stg2_full_band_net.enc1.conv1.conv.1.running_var", "stg2_full_band_net.enc1.conv2.conv.0.weight", "stg2_full_band_net.enc1.conv2.conv.1.weight", "stg2_full_band_net.enc1.conv2.conv.1.bias", "stg2_full_band_net.enc1.conv2.conv.1.running_mean", "stg2_full_band_net.enc1.conv2.conv.1.running_var", "stg2_full_band_net.enc2.conv1.conv.0.weight", "stg2_full_band_net.enc2.conv1.conv.1.weight", "stg2_full_band_net.enc2.conv1.conv.1.bias", "stg2_full_band_net.enc2.conv1.conv.1.running_mean", "stg2_full_band_net.enc2.conv1.conv.1.running_var", "stg2_full_band_net.enc2.conv2.conv.0.weight", "stg2_full_band_net.enc2.conv2.conv.1.weight", "stg2_full_band_net.enc2.conv2.conv.1.bias", "stg2_full_band_net.enc2.conv2.conv.1.running_mean", "stg2_full_band_net.enc2.conv2.conv.1.running_var", "stg2_full_band_net.enc3.conv1.conv.0.weight", "stg2_full_band_net.enc3.conv1.conv.1.weight", "stg2_full_band_net.enc3.conv1.conv.1.bias", "stg2_full_band_net.enc3.conv1.conv.1.running_mean", "stg2_full_band_net.enc3.conv1.conv.1.running_var", "stg2_full_band_net.enc3.conv2.conv.0.weight", "stg2_full_band_net.enc3.conv2.conv.1.weight", "stg2_full_band_net.enc3.conv2.conv.1.bias", "stg2_full_band_net.enc3.conv2.conv.1.running_mean", "stg2_full_band_net.enc3.conv2.conv.1.running_var", "stg2_full_band_net.enc4.conv1.conv.0.weight", "stg2_full_band_net.enc4.conv1.conv.1.weight", "stg2_full_band_net.enc4.conv1.conv.1.bias", "stg2_full_band_net.enc4.conv1.conv.1.running_mean", "stg2_full_band_net.enc4.conv1.conv.1.running_var", "stg2_full_band_net.enc4.conv2.conv.0.weight", "stg2_full_band_net.enc4.conv2.conv.1.weight", "stg2_full_band_net.enc4.conv2.conv.1.bias", "stg2_full_band_net.enc4.conv2.conv.1.running_mean", "stg2_full_band_net.enc4.conv2.conv.1.running_var", "stg2_full_band_net.aspp.conv1.1.conv.0.weight", "stg2_full_band_net.aspp.conv1.1.conv.1.weight", "stg2_full_band_net.aspp.conv1.1.conv.1.bias", "stg2_full_band_net.aspp.conv1.1.conv.1.running_mean", "stg2_full_band_net.aspp.conv1.1.conv.1.running_var", "stg2_full_band_net.aspp.conv2.conv.0.weight", "stg2_full_band_net.aspp.conv2.conv.1.weight", "stg2_full_band_net.aspp.conv2.conv.1.bias", "stg2_full_band_net.aspp.conv2.conv.1.running_mean", "stg2_full_band_net.aspp.conv2.conv.1.running_var", "stg2_full_band_net.aspp.conv3.conv.0.weight", "stg2_full_band_net.aspp.conv3.conv.1.weight", "stg2_full_band_net.aspp.conv3.conv.2.weight", "stg2_full_band_net.aspp.conv3.conv.2.bias", "stg2_full_band_net.aspp.conv3.conv.2.running_mean", "stg2_full_band_net.aspp.conv3.conv.2.running_var", "stg2_full_band_net.aspp.conv4.conv.0.weight", "stg2_full_band_net.aspp.conv4.conv.1.weight", "stg2_full_band_net.aspp.conv4.conv.2.weight", "stg2_full_band_net.aspp.conv4.conv.2.bias", "stg2_full_band_net.aspp.conv4.conv.2.running_mean", "stg2_full_band_net.aspp.conv4.conv.2.running_var", "stg2_full_band_net.aspp.conv5.conv.0.weight", "stg2_full_band_net.aspp.conv5.conv.1.weight", "stg2_full_band_net.aspp.conv5.conv.2.weight", "stg2_full_band_net.aspp.conv5.conv.2.bias", "stg2_full_band_net.aspp.conv5.conv.2.running_mean", "stg2_full_band_net.aspp.conv5.conv.2.running_var", "stg2_full_band_net.aspp.bottleneck.0.conv.0.weight", "stg2_full_band_net.aspp.bottleneck.0.conv.1.weight", "stg2_full_band_net.aspp.bottleneck.0.conv.1.bias", "stg2_full_band_net.aspp.bottleneck.0.conv.1.running_mean", "stg2_full_band_net.aspp.bottleneck.0.conv.1.running_var", "stg2_full_band_net.dec4.conv.conv.0.weight", "stg2_full_band_net.dec4.conv.conv.1.weight", "stg2_full_band_net.dec4.conv.conv.1.bias", "stg2_full_band_net.dec4.conv.conv.1.running_mean", "stg2_full_band_net.dec4.conv.conv.1.running_var", "stg2_full_band_net.dec3.conv.conv.0.weight", "stg2_full_band_net.dec3.conv.conv.1.weight", "stg2_full_band_net.dec3.conv.conv.1.bias", "stg2_full_band_net.dec3.conv.conv.1.running_mean", "stg2_full_band_net.dec3.conv.conv.1.running_var", "stg2_full_band_net.dec2.conv.conv.0.weight", "stg2_full_band_net.dec2.conv.conv.1.weight", "stg2_full_band_net.dec2.conv.conv.1.bias", "stg2_full_band_net.dec2.conv.conv.1.running_mean", "stg2_full_band_net.dec2.conv.conv.1.running_var", "stg2_full_band_net.dec1.conv.conv.0.weight", "stg2_full_band_net.dec1.conv.conv.1.weight", "stg2_full_band_net.dec1.conv.conv.1.bias", "stg2_full_band_net.dec1.conv.conv.1.running_mean", "stg2_full_band_net.dec1.conv.conv.1.running_var", "stg3_bridge.conv.0.weight", "stg3_bridge.conv.1.weight", "stg3_bridge.conv.1.bias", "stg3_bridge.conv.1.running_mean", "stg3_bridge.conv.1.running_var", "stg3_full_band_net.enc1.conv1.conv.0.weight", "stg3_full_band_net.enc1.conv1.conv.1.weight", "stg3_full_band_net.enc1.conv1.conv.1.bias", "stg3_full_band_net.enc1.conv1.conv.1.running_mean", "stg3_full_band_net.enc1.conv1.conv.1.running_var", "stg3_full_band_net.enc1.conv2.conv.0.weight", "stg3_full_band_net.enc1.conv2.conv.1.weight", "stg3_full_band_net.enc1.conv2.conv.1.bias", "stg3_full_band_net.enc1.conv2.conv.1.running_mean", "stg3_full_band_net.enc1.conv2.conv.1.running_var", "stg3_full_band_net.aspp.conv3.conv.2.weight", "stg3_full_band_net.aspp.conv3.conv.2.bias", "stg3_full_band_net.aspp.conv3.conv.2.running_mean", "stg3_full_band_net.aspp.conv3.conv.2.running_var", "stg3_full_band_net.aspp.conv4.conv.2.weight", "stg3_full_band_net.aspp.conv4.conv.2.bias", "stg3_full_band_net.aspp.conv4.conv.2.running_mean", "stg3_full_band_net.aspp.conv4.conv.2.running_var", "stg3_full_band_net.aspp.conv5.conv.2.weight", "stg3_full_band_net.aspp.conv5.conv.2.bias", "stg3_full_band_net.aspp.conv5.conv.2.running_mean", "stg3_full_band_net.aspp.conv5.conv.2.running_var", "stg3_full_band_net.aspp.bottleneck.0.conv.0.weight", "stg3_full_band_net.aspp.bottleneck.0.conv.1.weight", "stg3_full_band_net.aspp.bottleneck.0.conv.1.bias", "stg3_full_band_net.aspp.bottleneck.0.conv.1.running_mean", "stg3_full_band_net.aspp.bottleneck.0.conv.1.running_var", "stg3_full_band_net.dec4.conv.conv.0.weight", "stg3_full_band_net.dec4.conv.conv.1.weight", "stg3_full_band_net.dec4.conv.conv.1.bias", "stg3_full_band_net.dec4.conv.conv.1.running_mean", "stg3_full_band_net.dec4.conv.conv.1.running_var", "stg3_full_band_net.dec3.conv.conv.0.weight", "stg3_full_band_net.dec3.conv.conv.1.weight", "stg3_full_band_net.dec3.conv.conv.1.bias", "stg3_full_band_net.dec3.conv.conv.1.running_mean", "stg3_full_band_net.dec3.conv.conv.1.running_var", "stg3_full_band_net.dec2.conv.conv.0.weight", "stg3_full_band_net.dec2.conv.conv.1.weight", "stg3_full_band_net.dec2.conv.conv.1.bias", "stg3_full_band_net.dec2.conv.conv.1.running_mean", "stg3_full_band_net.dec2.conv.conv.1.running_var", "stg3_full_band_net.dec1.conv.conv.0.weight", "stg3_full_band_net.dec1.conv.conv.1.weight", "stg3_full_band_net.dec1.conv.conv.1.bias", "stg3_full_band_net.dec1.conv.conv.1.running_mean", "stg3_full_band_net.dec1.conv.conv.1.running_var", "aux1_out.weight", "aux2_out.weight". Unexpected key(s) in state_dict: "stg2_low_band_net.0.enc1.conv.0.weight", "stg2_low_band_net.0.enc1.conv.1.weight", "stg2_low_band_net.0.enc1.conv.1.bias", "stg2_low_band_net.0.enc1.conv.1.running_mean", "stg2_low_band_net.0.enc1.conv.1.running_var", "stg2_low_band_net.0.enc1.conv.1.num_batches_tracked", "stg2_low_band_net.0.enc2.conv1.conv.0.weight", "stg2_low_band_net.0.enc2.conv1.conv.1.weight", "stg2_low_band_net.0.enc2.conv1.conv.1.bias", "stg2_low_band_net.0.enc2.conv1.conv.1.running_mean", "stg2_low_band_net.0.enc2.conv1.conv.1.running_var", "stg2_low_band_net.0.enc2.conv1.conv.1.num_batches_tracked", "stg2_low_band_net.0.enc2.conv2.conv.0.weight", "stg2_low_band_net.0.enc2.conv2.conv.1.weight", "stg2_low_band_net.0.enc2.conv2.conv.1.bias", "stg2_low_band_net.0.enc2.conv2.conv.1.running_mean", "stg2_low_band_net.0.enc2.conv2.conv.1.running_var", "stg2_low_band_net.0.enc2.conv2.conv.1.num_batches_tracked", "stg2_low_band_net.0.enc3.conv1.conv.0.weight", "stg2_low_band_net.0.enc3.conv1.conv.1.weight", "stg2_low_band_net.0.enc3.conv1.conv.1.bias", "stg2_low_band_net.0.enc3.conv1.conv.1.running_mean", "stg2_low_band_net.0.enc3.conv1.conv.1.running_var", "stg2_low_band_net.0.enc3.conv1.conv.1.num_batches_tracked", "stg2_low_band_net.0.enc3.conv2.conv.0.weight", "stg2_low_band_net.0.enc3.conv2.conv.1.weight", "stg2_low_band_net.0.enc3.conv2.conv.1.bias", "stg2_low_band_net.0.enc3.conv2.conv.1.running_mean", "stg2_low_band_net.0.enc3.conv2.conv.1.running_var", "stg2_low_band_net.0.enc3.conv2.conv.1.num_batches_tracked", "stg2_low_band_net.0.enc4.conv1.conv.0.weight", "stg2_low_band_net.0.enc4.conv1.conv.1.weight", "stg2_low_band_net.0.enc4.conv1.conv.1.bias", "stg2_low_band_net.0.enc4.conv1.conv.1.running_mean", "stg2_low_band_net.0.enc4.conv1.conv.1.running_var", "stg2_low_band_net.0.enc4.conv1.conv.1.num_batches_tracked", "stg2_low_band_net.0.enc4.conv2.conv.0.weight", "stg2_low_band_net.0.enc4.conv2.conv.1.weight", "stg2_low_band_net.0.enc4.conv2.conv.1.bias", "stg2_low_band_net.0.enc4.conv2.conv.1.running_mean", "stg2_low_band_net.0.enc4.conv2.conv.1.running_var", "stg2_low_band_net.0.enc4.conv2.conv.1.num_batches_tracked", "stg2_low_band_net.0.enc5.conv1.conv.0.weight", "stg2_low_band_net.0.enc5.conv1.conv.1.weight", "stg2_low_band_net.0.enc5.conv1.conv.1.bias", "stg2_low_band_net.0.enc5.conv1.conv.1.running_mean", "stg2_low_band_net.0.enc5.conv1.conv.1.running_var", "stg2_low_band_net.0.enc5.conv1.conv.1.num_batches_tracked", "stg2_low_band_net.0.enc5.conv2.conv.0.weight", "stg2_low_band_net.0.enc5.conv2.conv.1.weight", "stg2_low_band_net.0.enc5.conv2.conv.1.bias", "stg2_low_band_net.0.enc5.conv2.conv.1.running_mean", "stg2_low_band_net.0.enc5.conv2.conv.1.running_var", "stg2_low_band_net.0.enc5.conv2.conv.1.num_batches_tracked", "stg2_low_band_net.0.aspp.conv1.1.conv.0.weight", "stg2_low_band_net.0.aspp.conv1.1.conv.1.weight", "stg2_low_band_net.0.aspp.conv1.1.conv.1.bias", "stg2_low_band_net.0.aspp.conv1.1.conv.1.running_mean", "stg2_low_band_net.0.aspp.conv1.1.conv.1.running_var", "stg2_low_band_net.0.aspp.conv1.1.conv.1.num_batches_tracked", "stg2_low_band_net.0.aspp.conv2.conv.0.weight", "stg2_low_band_net.0.aspp.conv2.conv.1.weight", "stg2_low_band_net.0.aspp.conv2.conv.1.bias", "stg2_low_band_net.0.aspp.conv2.conv.1.running_mean", "stg2_low_band_net.0.aspp.conv2.conv.1.running_var", "stg2_low_band_net.0.aspp.conv2.conv.1.num_batches_tracked", "stg2_low_band_net.0.aspp.conv3.conv.0.weight", "stg2_low_band_net.0.aspp.conv3.conv.1.weight", "stg2_low_band_net.0.aspp.conv3.conv.1.bias", "stg2_low_band_net.0.aspp.conv3.conv.1.running_mean", "stg2_low_band_net.0.aspp.conv3.conv.1.running_var", "stg2_low_band_net.0.aspp.conv3.conv.1.num_batches_tracked", "stg2_low_band_net.0.aspp.conv4.conv.0.weight", "stg2_low_band_net.0.aspp.conv4.conv.1.weight", "stg2_low_band_net.0.aspp.conv4.conv.1.bias", "stg2_low_band_net.0.aspp.conv4.conv.1.running_mean", "stg2_low_band_net.0.aspp.conv4.conv.1.running_var", "stg2_low_band_net.0.aspp.conv4.conv.1.num_batches_tracked", "stg2_low_band_net.0.aspp.conv5.conv.0.weight", "stg2_low_band_net.0.aspp.conv5.conv.1.weight", "stg2_low_band_net.0.aspp.conv5.conv.1.bias", "stg2_low_band_net.0.aspp.conv5.conv.1.running_mean", "stg2_low_band_net.0.aspp.conv5.conv.1.running_var", "stg2_low_band_net.0.aspp.conv5.conv.1.num_batches_tracked", "stg2_low_band_net.0.aspp.bottleneck.conv.0.weight", "stg2_low_band_net.0.aspp.bottleneck.conv.1.weight", "stg2_low_band_net.0.aspp.bottleneck.conv.1.bias", "stg2_low_band_net.0.aspp.bottleneck.conv.1.running_mean", "stg2_low_band_net.0.aspp.bottleneck.conv.1.running_var", "stg2_low_band_net.0.aspp.bottleneck.conv.1.num_batches_tracked", "stg2_low_band_net.0.dec4.conv1.conv.0.weight", "stg2_low_band_net.0.dec4.conv1.conv.1.weight", "stg2_low_band_net.0.dec4.conv1.conv.1.bias", "stg2_low_band_net.0.dec4.conv1.conv.1.running_mean", "stg2_low_band_net.0.dec4.conv1.conv.1.running_var", "stg2_low_band_net.0.dec4.conv1.conv.1.num_batches_tracked", "stg2_low_band_net.0.dec3.conv1.conv.0.weight", "stg2_low_band_net.0.dec3.conv1.conv.1.weight", "stg2_low_band_net.0.dec3.conv1.conv.1.bias", "stg2_low_band_net.0.dec3.conv1.conv.1.running_mean", "stg2_low_band_net.0.dec3.conv1.conv.1.running_var", "stg2_low_band_net.0.dec3.conv1.conv.1.num_batches_tracked", "stg2_low_band_net.0.dec2.conv1.conv.0.weight", "stg2_low_band_net.0.dec2.conv1.conv.1.weight", "stg2_low_band_net.0.dec2.conv1.conv.1.bias", "stg2_low_band_net.0.dec2.conv1.conv.1.running_mean", "stg2_low_band_net.0.dec2.conv1.conv.1.running_var", "stg2_low_band_net.0.dec2.conv1.conv.1.num_batches_tracked", "stg2_low_band_net.0.lstm_dec2.conv.conv.0.weight", "stg2_low_band_net.0.lstm_dec2.conv.conv.1.weight", "stg2_low_band_net.0.lstm_dec2.conv.conv.1.bias", "stg2_low_band_net.0.lstm_dec2.conv.conv.1.running_mean", "stg2_low_band_net.0.lstm_dec2.conv.conv.1.running_var", "stg2_low_band_net.0.lstm_dec2.conv.conv.1.num_batches_tracked", "stg2_low_band_net.0.lstm_dec2.lstm.weight_ih_l0", "stg2_low_band_net.0.lstm_dec2.lstm.weight_hh_l0", "stg2_low_band_net.0.lstm_dec2.lstm.bias_ih_l0", "stg2_low_band_net.0.lstm_dec2.lstm.bias_hh_l0", "stg2_low_band_net.0.lstm_dec2.lstm.weight_ih_l0_reverse", "stg2_low_band_net.0.lstm_dec2.lstm.weight_hh_l0_reverse", "stg2_low_band_net.0.lstm_dec2.lstm.bias_ih_l0_reverse", "stg2_low_band_net.0.lstm_dec2.lstm.bias_hh_l0_reverse", "stg2_low_band_net.0.lstm_dec2.dense.0.weight", "stg2_low_band_net.0.lstm_dec2.dense.0.bias", "stg2_low_band_net.0.lstm_dec2.dense.1.weight", "stg2_low_band_net.0.lstm_dec2.dense.1.bias", "stg2_low_band_net.0.lstm_dec2.dense.1.running_mean", "stg2_low_band_net.0.lstm_dec2.dense.1.running_var", "stg2_low_band_net.0.lstm_dec2.dense.1.num_batches_tracked", "stg2_low_band_net.0.dec1.conv1.conv.0.weight", "stg2_low_band_net.0.dec1.conv1.conv.1.weight", "stg2_low_band_net.0.dec1.conv1.conv.1.bias", "stg2_low_band_net.0.dec1.conv1.conv.1.running_mean", "stg2_low_band_net.0.dec1.conv1.conv.1.running_var", "stg2_low_band_net.0.dec1.conv1.conv.1.num_batches_tracked", "stg2_low_band_net.1.conv.0.weight", "stg2_low_band_net.1.conv.1.weight", "stg2_low_band_net.1.conv.1.bias", "stg2_low_band_net.1.conv.1.running_mean", "stg2_low_band_net.1.conv.1.running_var", "stg2_low_band_net.1.conv.1.num_batches_tracked", "stg2_high_band_net.enc1.conv.0.weight", "stg2_high_band_net.enc1.conv.1.weight", "stg2_high_band_net.enc1.conv.1.bias", "stg2_high_band_net.enc1.conv.1.running_mean", "stg2_high_band_net.enc1.conv.1.running_var", "stg2_high_band_net.enc1.conv.1.num_batches_tracked", "stg2_high_band_net.enc2.conv1.conv.0.weight", "stg2_high_band_net.enc2.conv1.conv.1.weight", "stg2_high_band_net.enc2.conv1.conv.1.bias", "stg2_high_band_net.enc2.conv1.conv.1.running_mean", "stg2_high_band_net.enc2.conv1.conv.1.running_var", "stg2_high_band_net.enc2.conv1.conv.1.num_batches_tracked", "stg2_high_band_net.enc2.conv2.conv.0.weight", "stg2_high_band_net.enc2.conv2.conv.1.weight", "stg2_high_band_net.enc2.conv2.conv.1.bias", "stg2_high_band_net.enc2.conv2.conv.1.running_mean", "stg2_high_band_net.enc2.conv2.conv.1.running_var", "stg2_high_band_net.enc2.conv2.conv.1.num_batches_tracked", "stg2_high_band_net.enc3.conv1.conv.0.weight", "stg2_high_band_net.enc3.conv1.conv.1.weight", "stg2_high_band_net.enc3.conv1.conv.1.bias", "stg2_high_band_net.enc3.conv1.conv.1.running_mean", "stg2_high_band_net.enc3.conv1.conv.1.running_var", "stg2_high_band_net.enc3.conv1.conv.1.num_batches_tracked", "stg2_high_band_net.enc3.conv2.conv.0.weight", "stg2_high_band_net.enc3.conv2.conv.1.weight", "stg2_high_band_net.enc3.conv2.conv.1.bias", "stg2_high_band_net.enc3.conv2.conv.1.running_mean", "stg2_high_band_net.enc3.conv2.conv.1.running_var", "stg2_high_band_net.enc3.conv2.conv.1.num_batches_tracked", "stg2_high_band_net.enc4.conv1.conv.0.weight", "stg2_high_band_net.enc4.conv1.conv.1.weight", "stg2_high_band_net.enc4.conv1.conv.1.bias", "stg2_high_band_net.enc4.conv1.conv.1.running_mean", "stg2_high_band_net.enc4.conv1.conv.1.running_var", "stg2_high_band_net.enc4.conv1.conv.1.num_batches_tracked", "stg2_high_band_net.enc4.conv2.conv.0.weight", "stg2_high_band_net.enc4.conv2.conv.1.weight", "stg2_high_band_net.enc4.conv2.conv.1.bias", "stg2_high_band_net.enc4.conv2.conv.1.running_mean", "stg2_high_band_net.enc4.conv2.conv.1.running_var", "stg2_high_band_net.enc4.conv2.conv.1.num_batches_tracked", "stg2_high_band_net.enc5.conv1.conv.0.weight", "stg2_high_band_net.enc5.conv1.conv.1.weight", "stg2_high_band_net.enc5.conv1.conv.1.bias", "stg2_high_band_net.enc5.conv1.conv.1.running_mean", "stg2_high_band_net.enc5.conv1.conv.1.running_var", "stg2_high_band_net.enc5.conv1.conv.1.num_batches_tracked", "stg2_high_band_net.enc5.conv2.conv.0.weight", "stg2_high_band_net.enc5.conv2.conv.1.weight", "stg2_high_band_net.enc5.conv2.conv.1.bias", "stg2_high_band_net.enc5.conv2.conv.1.running_mean", "stg2_high_band_net.enc5.conv2.conv.1.running_var", "stg2_high_band_net.enc5.conv2.conv.1.num_batches_tracked", "stg2_high_band_net.aspp.conv1.1.conv.0.weight", "stg2_high_band_net.aspp.conv1.1.conv.1.weight", "stg2_high_band_net.aspp.conv1.1.conv.1.bias", "stg2_high_band_net.aspp.conv1.1.conv.1.running_mean", "stg2_high_band_net.aspp.conv1.1.conv.1.running_var", "stg2_high_band_net.aspp.conv1.1.conv.1.num_batches_tracked", "stg2_high_band_net.aspp.conv2.conv.0.weight", "stg2_high_band_net.aspp.conv2.conv.1.weight", "stg2_high_band_net.aspp.conv2.conv.1.bias", "stg2_high_band_net.aspp.conv2.conv.1.running_mean", "stg2_high_band_net.aspp.conv2.conv.1.running_var", "stg2_high_band_net.aspp.conv2.conv.1.num_batches_tracked", "stg2_high_band_net.aspp.conv3.conv.0.weight", "stg2_high_band_net.aspp.conv3.conv.1.weight", "stg2_high_band_net.aspp.conv3.conv.1.bias", "stg2_high_band_net.aspp.conv3.conv.1.running_mean", "stg2_high_band_net.aspp.conv3.conv.1.running_var", "stg2_high_band_net.aspp.conv3.conv.1.num_batches_tracked", "stg2_high_band_net.aspp.conv4.conv.0.weight", "stg2_high_band_net.aspp.conv4.conv.1.weight", "stg2_high_band_net.aspp.conv4.conv.1.bias", "stg2_high_band_net.aspp.conv4.conv.1.running_mean", "stg2_high_band_net.aspp.conv4.conv.1.running_var", "stg2_high_band_net.aspp.conv4.conv.1.num_batches_tracked", "stg2_high_band_net.aspp.conv5.conv.0.weight", "stg2_high_band_net.aspp.conv5.conv.1.weight", "stg2_high_band_net.aspp.conv5.conv.1.bias", "stg2_high_band_net.aspp.conv5.conv.1.running_mean", "stg2_high_band_net.aspp.conv5.conv.1.running_var", "stg2_high_band_net.aspp.conv5.conv.1.num_batches_tracked", "stg2_high_band_net.aspp.bottleneck.conv.0.weight", "stg2_high_band_net.aspp.bottleneck.conv.1.weight", "stg2_high_band_net.aspp.bottleneck.conv.1.bias", "stg2_high_band_net.aspp.bottleneck.conv.1.running_mean", "stg2_high_band_net.aspp.bottleneck.conv.1.running_var", "stg2_high_band_net.aspp.bottleneck.conv.1.num_batches_tracked", "stg2_high_band_net.dec4.conv1.conv.0.weight", "stg2_high_band_net.dec4.conv1.conv.1.weight", "stg2_high_band_net.dec4.conv1.conv.1.bias", "stg2_high_band_net.dec4.conv1.conv.1.running_mean", "stg2_high_band_net.dec4.conv1.conv.1.running_var", "stg2_high_band_net.dec4.conv1.conv.1.num_batches_tracked", "stg2_high_band_net.dec3.conv1.conv.0.weight", "stg2_high_band_net.dec3.conv1.conv.1.weight", "stg2_high_band_net.dec3.conv1.conv.1.bias", "stg2_high_band_net.dec3.conv1.conv.1.running_mean", "stg2_high_band_net.dec3.conv1.conv.1.running_var", "stg2_high_band_net.dec3.conv1.conv.1.num_batches_tracked", "stg2_high_band_net.dec2.conv1.conv.0.weight", "stg2_high_band_net.dec2.conv1.conv.1.weight", "stg2_high_band_net.dec2.conv1.conv.1.bias", "stg2_high_band_net.dec2.conv1.conv.1.running_mean", "stg2_high_band_net.dec2.conv1.conv.1.running_var", "stg2_high_band_net.dec2.conv1.conv.1.num_batches_tracked", "stg2_high_band_net.lstm_dec2.conv.conv.0.weight", "stg2_high_band_net.lstm_dec2.conv.conv.1.weight", "stg2_high_band_net.lstm_dec2.conv.conv.1.bias", "stg2_high_band_net.lstm_dec2.conv.conv.1.running_mean", "stg2_high_band_net.lstm_dec2.conv.conv.1.running_var", "stg2_high_band_net.lstm_dec2.conv.conv.1.num_batches_tracked", "stg2_high_band_net.lstm_dec2.lstm.weight_ih_l0", "stg2_high_band_net.lstm_dec2.lstm.weight_hh_l0", "stg2_high_band_net.lstm_dec2.lstm.bias_ih_l0", "stg2_high_band_net.lstm_dec2.lstm.bias_hh_l0", "stg2_high_band_net.lstm_dec2.lstm.weight_ih_l0_reverse", "stg2_high_band_net.lstm_dec2.lstm.weight_hh_l0_reverse", "stg2_high_band_net.lstm_dec2.lstm.bias_ih_l0_reverse", "stg2_high_band_net.lstm_dec2.lstm.bias_hh_l0_reverse", "stg2_high_band_net.lstm_dec2.dense.0.weight", "stg2_high_band_net.lstm_dec2.dense.0.bias", "stg2_high_band_net.lstm_dec2.dense.1.weight", "stg2_high_band_net.lstm_dec2.dense.1.bias", "stg2_high_band_net.lstm_dec2.dense.1.running_mean", "stg2_high_band_net.lstm_dec2.dense.1.running_var", "stg2_high_band_net.lstm_dec2.dense.1.num_batches_tracked", "stg2_high_band_net.dec1.conv1.conv.0.weight", "stg2_high_band_net.dec1.conv1.conv.1.weight", "stg2_high_band_net.dec1.conv1.conv.1.bias", "stg2_high_band_net.dec1.conv1.conv.1.running_mean", "stg2_high_band_net.dec1.conv1.conv.1.running_var", "stg2_high_band_net.dec1.conv1.conv.1.num_batches_tracked", "aux_out.weight", "stg1_low_band_net.0.enc1.conv.0.weight", "stg1_low_band_net.0.enc1.conv.1.weight", "stg1_low_band_net.0.enc1.conv.1.bias", "stg1_low_band_net.0.enc1.conv.1.running_mean", "stg1_low_band_net.0.enc1.conv.1.running_var", "stg1_low_band_net.0.enc1.conv.1.num_batches_tracked", "stg1_low_band_net.0.enc2.conv1.conv.0.weight", "stg1_low_band_net.0.enc2.conv1.conv.1.weight", "stg1_low_band_net.0.enc2.conv1.conv.1.bias", "stg1_low_band_net.0.enc2.conv1.conv.1.running_mean", "stg1_low_band_net.0.enc2.conv1.conv.1.running_var", "stg1_low_band_net.0.enc2.conv1.conv.1.num_batches_tracked", "stg1_low_band_net.0.enc2.conv2.conv.0.weight", "stg1_low_band_net.0.enc2.conv2.conv.1.weight", "stg1_low_band_net.0.enc2.conv2.conv.1.bias", "stg1_low_band_net.0.enc2.conv2.conv.1.running_mean", "stg1_low_band_net.0.enc2.conv2.conv.1.running_var", "stg1_low_band_net.0.enc2.conv2.conv.1.num_batches_tracked", "stg1_low_band_net.0.enc3.conv1.conv.0.weight", "stg1_low_band_net.0.enc3.conv1.conv.1.weight", "stg1_low_band_net.0.enc3.conv1.conv.1.bias", "stg1_low_band_net.0.enc3.conv1.conv.1.running_mean", "stg1_low_band_net.0.enc3.conv1.conv.1.running_var", "stg1_low_band_net.0.enc3.conv1.conv.1.num_batches_tracked", "stg1_low_band_net.0.enc3.conv2.conv.0.weight", "stg1_low_band_net.0.enc3.conv2.conv.1.weight", "stg1_low_band_net.0.enc3.conv2.conv.1.bias", "stg1_low_band_net.0.enc3.conv2.conv.1.running_mean", "stg1_low_band_net.0.enc3.conv2.conv.1.running_var", "stg1_low_band_net.0.enc3.conv2.conv.1.num_batches_tracked", "stg1_low_band_net.0.enc4.conv1.conv.0.weight", "stg1_low_band_net.0.enc4.conv1.conv.1.weight", "stg1_low_band_net.0.enc4.conv1.conv.1.bias", "stg1_low_band_net.0.enc4.conv1.conv.1.running_mean", "stg1_low_band_net.0.enc4.conv1.conv.1.running_var", "stg1_low_band_net.0.enc4.conv1.conv.1.num_batches_tracked", "stg1_low_band_net.0.enc4.conv2.conv.0.weight", "stg1_low_band_net.0.enc4.conv2.conv.1.weight", "stg1_low_band_net.0.enc4.conv2.conv.1.bias", "stg1_low_band_net.0.enc4.conv2.conv.1.running_mean", "stg1_low_band_net.0.enc4.conv2.conv.1.running_var", "stg1_low_band_net.0.enc4.conv2.conv.1.num_batches_tracked", "stg1_low_band_net.0.enc5.conv1.conv.0.weight", "stg1_low_band_net.0.enc5.conv1.conv.1.weight", "stg1_low_band_net.0.enc5.conv1.conv.1.bias", "stg1_low_band_net.0.enc5.conv1.conv.1.running_mean", "stg1_low_band_net.0.enc5.conv1.conv.1.running_var", "stg1_low_band_net.0.enc5.conv1.conv.1.num_batches_tracked", "stg1_low_band_net.0.enc5.conv2.conv.0.weight", "stg1_low_band_net.0.enc5.conv2.conv.1.weight", "stg1_low_band_net.0.enc5.conv2.conv.1.bias", "stg1_low_band_net.0.enc5.conv2.conv.1.running_mean", "stg1_low_band_net.0.enc5.conv2.conv.1.running_var", "stg1_low_band_net.0.enc5.conv2.conv.1.num_batches_tracked", "stg1_low_band_net.0.aspp.conv1.1.conv.0.weight", "stg1_low_band_net.0.aspp.conv1.1.conv.1.weight", "stg1_low_band_net.0.aspp.conv1.1.conv.1.bias", "stg1_low_band_net.0.aspp.conv1.1.conv.1.running_mean", "stg1_low_band_net.0.aspp.conv1.1.conv.1.running_var", "stg1_low_band_net.0.aspp.conv1.1.conv.1.num_batches_tracked", "stg1_low_band_net.0.aspp.conv2.conv.0.weight", "stg1_low_band_net.0.aspp.conv2.conv.1.weight", "stg1_low_band_net.0.aspp.conv2.conv.1.bias", "stg1_low_band_net.0.aspp.conv2.conv.1.running_mean", "stg1_low_band_net.0.aspp.conv2.conv.1.running_var", "stg1_low_band_net.0.aspp.conv2.conv.1.num_batches_tracked", "stg1_low_band_net.0.aspp.conv3.conv.0.weight", "stg1_low_band_net.0.aspp.conv3.conv.1.weight", "stg1_low_band_net.0.aspp.conv3.conv.1.bias", "stg1_low_band_net.0.aspp.conv3.conv.1.running_mean", "stg1_low_band_net.0.aspp.conv3.conv.1.running_var", "stg1_low_band_net.0.aspp.conv3.conv.1.num_batches_tracked", "stg1_low_band_net.0.aspp.conv4.conv.0.weight", "stg1_low_band_net.0.aspp.conv4.conv.1.weight", "stg1_low_band_net.0.aspp.conv4.conv.1.bias", "stg1_low_band_net.0.aspp.conv4.conv.1.running_mean", "stg1_low_band_net.0.aspp.conv4.conv.1.running_var", "stg1_low_band_net.0.aspp.conv4.conv.1.num_batches_tracked", "stg1_low_band_net.0.aspp.conv5.conv.0.weight", "stg1_low_band_net.0.aspp.conv5.conv.1.weight", "stg1_low_band_net.0.aspp.conv5.conv.1.bias", "stg1_low_band_net.0.aspp.conv5.conv.1.running_mean", "stg1_low_band_net.0.aspp.conv5.conv.1.running_var", "stg1_low_band_net.0.aspp.conv5.conv.1.num_batches_tracked", "stg1_low_band_net.0.aspp.bottleneck.conv.0.weight", "stg1_low_band_net.0.aspp.bottleneck.conv.1.weight", "stg1_low_band_net.0.aspp.bottleneck.conv.1.bias", "stg1_low_band_net.0.aspp.bottleneck.conv.1.running_mean", "stg1_low_band_net.0.aspp.bottleneck.conv.1.running_var", "stg1_low_band_net.0.aspp.bottleneck.conv.1.num_batches_tracked", "stg1_low_band_net.0.dec4.conv1.conv.0.weight", "stg1_low_band_net.0.dec4.conv1.conv.1.weight", "stg1_low_band_net.0.dec4.conv1.conv.1.bias", "stg1_low_band_net.0.dec4.conv1.conv.1.running_mean", "stg1_low_band_net.0.dec4.conv1.conv.1.running_var", "stg1_low_band_net.0.dec4.conv1.conv.1.num_batches_tracked", "stg1_low_band_net.0.dec3.conv1.conv.0.weight", "stg1_low_band_net.0.dec3.conv1.conv.1.weight", "stg1_low_band_net.0.dec3.conv1.conv.1.bias", "stg1_low_band_net.0.dec3.conv1.conv.1.running_mean", "stg1_low_band_net.0.dec3.conv1.conv.1.running_var", "stg1_low_band_net.0.dec3.conv1.conv.1.num_batches_tracked", "stg1_low_band_net.0.dec2.conv1.conv.0.weight", "stg1_low_band_net.0.dec2.conv1.conv.1.weight", "stg1_low_band_net.0.dec2.conv1.conv.1.bias", "stg1_low_band_net.0.dec2.conv1.conv.1.running_mean", "stg1_low_band_net.0.dec2.conv1.conv.1.running_var", "stg1_low_band_net.0.dec2.conv1.conv.1.num_batches_tracked", "stg1_low_band_net.0.lstm_dec2.conv.conv.0.weight", "stg1_low_band_net.0.lstm_dec2.conv.conv.1.weight", "stg1_low_band_net.0.lstm_dec2.conv.conv.1.bias", "stg1_low_band_net.0.lstm_dec2.conv.conv.1.running_mean", "stg1_low_band_net.0.lstm_dec2.conv.conv.1.running_var", "stg1_low_band_net.0.lstm_dec2.conv.conv.1.num_batches_tracked", "stg1_low_band_net.0.lstm_dec2.lstm.weight_ih_l0", "stg1_low_band_net.0.lstm_dec2.lstm.weight_hh_l0", "stg1_low_band_net.0.lstm_dec2.lstm.bias_ih_l0", "stg1_low_band_net.0.lstm_dec2.lstm.bias_hh_l0", "stg1_low_band_net.0.lstm_dec2.lstm.weight_ih_l0_reverse", "stg1_low_band_net.0.lstm_dec2.lstm.weight_hh_l0_reverse", "stg1_low_band_net.0.lstm_dec2.lstm.bias_ih_l0_reverse", "stg1_low_band_net.0.lstm_dec2.lstm.bias_hh_l0_reverse", "stg1_low_band_net.0.lstm_dec2.dense.0.weight", "stg1_low_band_net.0.lstm_dec2.dense.0.bias", "stg1_low_band_net.0.lstm_dec2.dense.1.weight", "stg1_low_band_net.0.lstm_dec2.dense.1.bias", "stg1_low_band_net.0.lstm_dec2.dense.1.running_mean", "stg1_low_band_net.0.lstm_dec2.dense.1.running_var", "stg1_low_band_net.0.lstm_dec2.dense.1.num_batches_tracked", "stg1_low_band_net.0.dec1.conv1.conv.0.weight", "stg1_low_band_net.0.dec1.conv1.conv.1.weight", "stg1_low_band_net.0.dec1.conv1.conv.1.bias", "stg1_low_band_net.0.dec1.conv1.conv.1.running_mean", "stg1_low_band_net.0.dec1.conv1.conv.1.running_var", "stg1_low_band_net.0.dec1.conv1.conv.1.num_batches_tracked", "stg1_low_band_net.1.conv.0.weight", "stg1_low_band_net.1.conv.1.weight", "stg1_low_band_net.1.conv.1.bias", "stg1_low_band_net.1.conv.1.running_mean", "stg1_low_band_net.1.conv.1.running_var", "stg1_low_band_net.1.conv.1.num_batches_tracked", "stg1_high_band_net.enc5.conv1.conv.0.weight", "stg1_high_band_net.enc5.conv1.conv.1.weight", "stg1_high_band_net.enc5.conv1.conv.1.bias", "stg1_high_band_net.enc5.conv1.conv.1.running_mean", "stg1_high_band_net.enc5.conv1.conv.1.running_var", "stg1_high_band_net.enc5.conv1.conv.1.num_batches_tracked", "stg1_high_band_net.enc5.conv2.conv.0.weight", "stg1_high_band_net.enc5.conv2.conv.1.weight", "stg1_high_band_net.enc5.conv2.conv.1.bias", "stg1_high_band_net.enc5.conv2.conv.1.running_mean", "stg1_high_band_net.enc5.conv2.conv.1.running_var", "stg1_high_band_net.enc5.conv2.conv.1.num_batches_tracked", "stg1_high_band_net.lstm_dec2.conv.conv.0.weight", "stg1_high_band_net.lstm_dec2.conv.conv.1.weight", "stg1_high_band_net.lstm_dec2.conv.conv.1.bias", "stg1_high_band_net.lstm_dec2.conv.conv.1.running_mean", "stg1_high_band_net.lstm_dec2.conv.conv.1.running_var", "stg1_high_band_net.lstm_dec2.conv.conv.1.num_batches_tracked", "stg1_high_band_net.lstm_dec2.lstm.weight_ih_l0", "stg1_high_band_net.lstm_dec2.lstm.weight_hh_l0", "stg1_high_band_net.lstm_dec2.lstm.bias_ih_l0", "stg1_high_band_net.lstm_dec2.lstm.bias_hh_l0", "stg1_high_band_net.lstm_dec2.lstm.weight_ih_l0_reverse", "stg1_high_band_net.lstm_dec2.lstm.weight_hh_l0_reverse", "stg1_high_band_net.lstm_dec2.lstm.bias_ih_l0_reverse", "stg1_high_band_net.lstm_dec2.lstm.bias_hh_l0_reverse", "stg1_high_band_net.lstm_dec2.dense.0.weight", "stg1_high_band_net.lstm_dec2.dense.0.bias", "stg1_high_band_net.lstm_dec2.dense.1.weight", "stg1_high_band_net.lstm_dec2.dense.1.bias", "stg1_high_band_net.lstm_dec2.dense.1.running_mean", "stg1_high_band_net.lstm_dec2.dense.1.running_var", "stg1_high_band_net.lstm_dec2.dense.1.num_batches_tracked", "stg1_high_band_net.enc1.conv.0.weight", "stg1_high_band_net.enc1.conv.1.weight", "stg1_high_band_net.enc1.conv.1.bias", "stg1_high_band_net.enc1.conv.1.running_mean", "stg1_high_band_net.enc1.conv.1.running_var", "stg1_high_band_net.enc1.conv.1.num_batches_tracked", "stg1_high_band_net.aspp.conv3.conv.1.bias", "stg1_high_band_net.aspp.conv3.conv.1.running_mean", "stg1_high_band_net.aspp.conv3.conv.1.running_var", "stg1_high_band_net.aspp.conv3.conv.1.num_batches_tracked", "stg1_high_band_net.aspp.conv4.conv.1.bias", "stg1_high_band_net.aspp.conv4.conv.1.running_mean", "stg1_high_band_net.aspp.conv4.conv.1.running_var", "stg1_high_band_net.aspp.conv4.conv.1.num_batches_tracked", "stg1_high_band_net.aspp.conv5.conv.1.bias", "stg1_high_band_net.aspp.conv5.conv.1.running_mean", "stg1_high_band_net.aspp.conv5.conv.1.running_var", "stg1_high_band_net.aspp.conv5.conv.1.num_batches_tracked", "stg1_high_band_net.aspp.bottleneck.conv.0.weight", "stg1_high_band_net.aspp.bottleneck.conv.1.weight", "stg1_high_band_net.aspp.bottleneck.conv.1.bias", "stg1_high_band_net.aspp.bottleneck.conv.1.running_mean", "stg1_high_band_net.aspp.bottleneck.conv.1.running_var", "stg1_high_band_net.aspp.bottleneck.conv.1.num_batches_tracked", "stg1_high_band_net.dec4.conv1.conv.0.weight", "stg1_high_band_net.dec4.conv1.conv.1.weight", "stg1_high_band_net.dec4.conv1.conv.1.bias", "stg1_high_band_net.dec4.conv1.conv.1.running_mean", "stg1_high_band_net.dec4.conv1.conv.1.running_var", "stg1_high_band_net.dec4.conv1.conv.1.num_batches_tracked", "stg1_high_band_net.dec3.conv1.conv.0.weight", "stg1_high_band_net.dec3.conv1.conv.1.weight", "stg1_high_band_net.dec3.conv1.conv.1.bias", "stg1_high_band_net.dec3.conv1.conv.1.running_mean", "stg1_high_band_net.dec3.conv1.conv.1.running_var", "stg1_high_band_net.dec3.conv1.conv.1.num_batches_tracked", "stg1_high_band_net.dec2.conv1.conv.0.weight", "stg1_high_band_net.dec2.conv1.conv.1.weight", "stg1_high_band_net.dec2.conv1.conv.1.bias", "stg1_high_band_net.dec2.conv1.conv.1.running_mean", "stg1_high_band_net.dec2.conv1.conv.1.running_var", "stg1_high_band_net.dec2.conv1.conv.1.num_batches_tracked", "stg1_high_band_net.dec1.conv1.conv.0.weight", "stg1_high_band_net.dec1.conv1.conv.1.weight", "stg1_high_band_net.dec1.conv1.conv.1.bias", "stg1_high_band_net.dec1.conv1.conv.1.running_mean", "stg1_high_band_net.dec1.conv1.conv.1.running_var", "stg1_high_band_net.dec1.conv1.conv.1.num_batches_tracked", "stg3_full_band_net.enc5.conv1.conv.0.weight", "stg3_full_band_net.enc5.conv1.conv.1.weight", "stg3_full_band_net.enc5.conv1.conv.1.bias", "stg3_full_band_net.enc5.conv1.conv.1.running_mean", "stg3_full_band_net.enc5.conv1.conv.1.running_var", "stg3_full_band_net.enc5.conv1.conv.1.num_batches_tracked", "stg3_full_band_net.enc5.conv2.conv.0.weight", "stg3_full_band_net.enc5.conv2.conv.1.weight", "stg3_full_band_net.enc5.conv2.conv.1.bias", "stg3_full_band_net.enc5.conv2.conv.1.running_mean", "stg3_full_band_net.enc5.conv2.conv.1.running_var", "stg3_full_band_net.enc5.conv2.conv.1.num_batches_tracked", "stg3_full_band_net.lstm_dec2.conv.conv.0.weight", "stg3_full_band_net.lstm_dec2.conv.conv.1.weight", "stg3_full_band_net.lstm_dec2.conv.conv.1.bias", "stg3_full_band_net.lstm_dec2.conv.conv.1.running_mean", "stg3_full_band_net.lstm_dec2.conv.conv.1.running_var", "stg3_full_band_net.lstm_dec2.conv.conv.1.num_batches_tracked", "stg3_full_band_net.lstm_dec2.lstm.weight_ih_l0", "stg3_full_band_net.lstm_dec2.lstm.weight_hh_l0", "stg3_full_band_net.lstm_dec2.lstm.bias_ih_l0", "stg3_full_band_net.lstm_dec2.lstm.bias_hh_l0", "stg3_full_band_net.lstm_dec2.lstm.weight_ih_l0_reverse", "stg3_full_band_net.lstm_dec2.lstm.weight_hh_l0_reverse", "stg3_full_band_net.lstm_dec2.lstm.bias_ih_l0_reverse", "stg3_full_band_net.lstm_dec2.lstm.bias_hh_l0_reverse", "stg3_full_band_net.lstm_dec2.dense.0.weight", "stg3_full_band_net.lstm_dec2.dense.0.bias", "stg3_full_band_net.lstm_dec2.dense.1.weight", "stg3_full_band_net.lstm_dec2.dense.1.bias", "stg3_full_band_net.lstm_dec2.dense.1.running_mean", "stg3_full_band_net.lstm_dec2.dense.1.running_var", "stg3_full_band_net.lstm_dec2.dense.1.num_batches_tracked", "stg3_full_band_net.enc1.conv.0.weight", "stg3_full_band_net.enc1.conv.1.weight", "stg3_full_band_net.enc1.conv.1.bias", "stg3_full_band_net.enc1.conv.1.running_mean", "stg3_full_band_net.enc1.conv.1.running_var", "stg3_full_band_net.enc1.conv.1.num_batches_tracked", "stg3_full_band_net.aspp.conv3.conv.1.bias", "stg3_full_band_net.aspp.conv3.conv.1.running_mean", "stg3_full_band_net.aspp.conv3.conv.1.running_var", "stg3_full_band_net.aspp.conv3.conv.1.num_batches_tracked", "stg3_full_band_net.aspp.conv4.conv.1.bias", "stg3_full_band_net.aspp.conv4.conv.1.running_mean", "stg3_full_band_net.aspp.conv4.conv.1.running_var", "stg3_full_band_net.aspp.conv4.conv.1.num_batches_tracked", "stg3_full_band_net.aspp.conv5.conv.1.bias", "stg3_full_band_net.aspp.conv5.conv.1.running_mean", "stg3_full_band_net.aspp.conv5.conv.1.running_var", "stg3_full_band_net.aspp.conv5.conv.1.num_batches_tracked", "stg3_full_band_net.aspp.bottleneck.conv.0.weight", "stg3_full_band_net.aspp.bottleneck.conv.1.weight", "stg3_full_band_net.aspp.bottleneck.conv.1.bias", "stg3_full_band_net.aspp.bottleneck.conv.1.running_mean", "stg3_full_band_net.aspp.bottleneck.conv.1.running_var", "stg3_full_band_net.aspp.bottleneck.conv.1.num_batches_tracked", "stg3_full_band_net.dec4.conv1.conv.0.weight", "stg3_full_band_net.dec4.conv1.conv.1.weight", "stg3_full_band_net.dec4.conv1.conv.1.bias", "stg3_full_band_net.dec4.conv1.conv.1.running_mean", "stg3_full_band_net.dec4.conv1.conv.1.running_var", "stg3_full_band_net.dec4.conv1.conv.1.num_batches_tracked", "stg3_full_band_net.dec3.conv1.conv.0.weight", "stg3_full_band_net.dec3.conv1.conv.1.weight", "stg3_full_band_net.dec3.conv1.conv.1.bias", "stg3_full_band_net.dec3.conv1.conv.1.running_mean", "stg3_full_band_net.dec3.conv1.conv.1.running_var", "stg3_full_band_net.dec3.conv1.conv.1.num_batches_tracked", "stg3_full_band_net.dec2.conv1.conv.0.weight", "stg3_full_band_net.dec2.conv1.conv.1.weight", "stg3_full_band_net.dec2.conv1.conv.1.bias", "stg3_full_band_net.dec2.conv1.conv.1.running_mean", "stg3_full_band_net.dec2.conv1.conv.1.running_var", "stg3_full_band_net.dec2.conv1.conv.1.num_batches_tracked", "stg3_full_band_net.dec1.conv1.conv.0.weight", "stg3_full_band_net.dec1.conv1.conv.1.weight", "stg3_full_band_net.dec1.conv1.conv.1.bias", "stg3_full_band_net.dec1.conv1.conv.1.running_mean", "stg3_full_band_net.dec1.conv1.conv.1.running_var", "stg3_full_band_net.dec1.conv1.conv.1.num_batches_tracked". size mismatch for stg1_high_band_net.enc2.conv1.conv.0.weight: copying a param with shape torch.Size([24, 12, 3, 3]) from checkpoint, the shape in current model is torch.Size([64, 32, 3, 3]). size mismatch for stg1_high_band_net.enc2.conv1.conv.1.weight: copying a param with shape torch.Size([24]) from checkpoint, the shape in current model is torch.Size([64]). size mismatch for stg1_high_band_net.enc2.conv1.conv.1.bias: copying a param with shape torch.Size([24]) from checkpoint, the shape in current model is torch.Size([64]). size mismatch for stg1_high_band_net.enc2.conv1.conv.1.running_mean: copying a param with shape torch.Size([24]) from checkpoint, the shape in current model is torch.Size([64]). size mismatch for stg1_high_band_net.enc2.conv1.conv.1.running_var: copying a param with shape torch.Size([24]) from checkpoint, the shape in current model is torch.Size([64]). size mismatch for stg1_high_band_net.enc2.conv2.conv.0.weight: copying a param with shape torch.Size([24, 24, 3, 3]) from checkpoint, the shape in current model is torch.Size([64, 64, 3, 3]). size mismatch for stg1_high_band_net.enc2.conv2.conv.1.weight: copying a param with shape torch.Size([24]) from checkpoint, the shape in current model is torch.Size([64]). size mismatch for stg1_high_band_net.enc2.conv2.conv.1.bias: copying a param with shape torch.Size([24]) from checkpoint, the shape in current model is torch.Size([64]). size mismatch for stg1_high_band_net.enc2.conv2.conv.1.running_mean: copying a param with shape torch.Size([24]) from checkpoint, the shape in current model is torch.Size([64]). size mismatch for stg1_high_band_net.enc2.conv2.conv.1.running_var: copying a param with shape torch.Size([24]) from checkpoint, the shape in current model is torch.Size([64]). size mismatch for stg1_high_band_net.enc3.conv1.conv.0.weight: copying a param with shape torch.Size([48, 24, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 64, 3, 3]). size mismatch for stg1_high_band_net.enc3.conv1.conv.1.weight: copying a param with shape torch.Size([48]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg1_high_band_net.enc3.conv1.conv.1.bias: copying a param with shape torch.Size([48]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg1_high_band_net.enc3.conv1.conv.1.running_mean: copying a param with shape torch.Size([48]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg1_high_band_net.enc3.conv1.conv.1.running_var: copying a param with shape torch.Size([48]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg1_high_band_net.enc3.conv2.conv.0.weight: copying a param with shape torch.Size([48, 48, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 128, 3, 3]). size mismatch for stg1_high_band_net.enc3.conv2.conv.1.weight: copying a param with shape torch.Size([48]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg1_high_band_net.enc3.conv2.conv.1.bias: copying a param with shape torch.Size([48]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg1_high_band_net.enc3.conv2.conv.1.running_mean: copying a param with shape torch.Size([48]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg1_high_band_net.enc3.conv2.conv.1.running_var: copying a param with shape torch.Size([48]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg1_high_band_net.enc4.conv1.conv.0.weight: copying a param with shape torch.Size([72, 48, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 128, 3, 3]). size mismatch for stg1_high_band_net.enc4.conv1.conv.1.weight: copying a param with shape torch.Size([72]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.enc4.conv1.conv.1.bias: copying a param with shape torch.Size([72]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.enc4.conv1.conv.1.running_mean: copying a param with shape torch.Size([72]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.enc4.conv1.conv.1.running_var: copying a param with shape torch.Size([72]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.enc4.conv2.conv.0.weight: copying a param with shape torch.Size([72, 72, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 256, 3, 3]). size mismatch for stg1_high_band_net.enc4.conv2.conv.1.weight: copying a param with shape torch.Size([72]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.enc4.conv2.conv.1.bias: copying a param with shape torch.Size([72]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.enc4.conv2.conv.1.running_mean: copying a param with shape torch.Size([72]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.enc4.conv2.conv.1.running_var: copying a param with shape torch.Size([72]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.aspp.conv1.1.conv.0.weight: copying a param with shape torch.Size([96, 96, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for stg1_high_band_net.aspp.conv1.1.conv.1.weight: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.aspp.conv1.1.conv.1.bias: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.aspp.conv1.1.conv.1.running_mean: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.aspp.conv1.1.conv.1.running_var: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.aspp.conv2.conv.0.weight: copying a param with shape torch.Size([96, 96, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for stg1_high_band_net.aspp.conv2.conv.1.weight: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.aspp.conv2.conv.1.bias: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.aspp.conv2.conv.1.running_mean: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.aspp.conv2.conv.1.running_var: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg1_high_band_net.aspp.conv3.conv.0.weight: copying a param with shape torch.Size([96, 96, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 1, 3, 3]). size mismatch for stg1_high_band_net.aspp.conv3.conv.1.weight: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for stg1_high_band_net.aspp.conv4.conv.0.weight: copying a param with shape torch.Size([96, 96, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 1, 3, 3]). size mismatch for stg1_high_band_net.aspp.conv4.conv.1.weight: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for stg1_high_band_net.aspp.conv5.conv.0.weight: copying a param with shape torch.Size([96, 96, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 1, 3, 3]). size mismatch for stg1_high_band_net.aspp.conv5.conv.1.weight: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for stg3_full_band_net.enc2.conv1.conv.0.weight: copying a param with shape torch.Size([96, 48, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 64, 3, 3]). size mismatch for stg3_full_band_net.enc2.conv1.conv.1.weight: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg3_full_band_net.enc2.conv1.conv.1.bias: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg3_full_band_net.enc2.conv1.conv.1.running_mean: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg3_full_band_net.enc2.conv1.conv.1.running_var: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg3_full_band_net.enc2.conv2.conv.0.weight: copying a param with shape torch.Size([96, 96, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 128, 3, 3]). size mismatch for stg3_full_band_net.enc2.conv2.conv.1.weight: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg3_full_band_net.enc2.conv2.conv.1.bias: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg3_full_band_net.enc2.conv2.conv.1.running_mean: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg3_full_band_net.enc2.conv2.conv.1.running_var: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for stg3_full_band_net.enc3.conv1.conv.0.weight: copying a param with shape torch.Size([192, 96, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 128, 3, 3]). size mismatch for stg3_full_band_net.enc3.conv1.conv.1.weight: copying a param with shape torch.Size([192]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg3_full_band_net.enc3.conv1.conv.1.bias: copying a param with shape torch.Size([192]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg3_full_band_net.enc3.conv1.conv.1.running_mean: copying a param with shape torch.Size([192]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg3_full_band_net.enc3.conv1.conv.1.running_var: copying a param with shape torch.Size([192]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg3_full_band_net.enc3.conv2.conv.0.weight: copying a param with shape torch.Size([192, 192, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 256, 3, 3]). size mismatch for stg3_full_band_net.enc3.conv2.conv.1.weight: copying a param with shape torch.Size([192]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg3_full_band_net.enc3.conv2.conv.1.bias: copying a param with shape torch.Size([192]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg3_full_band_net.enc3.conv2.conv.1.running_mean: copying a param with shape torch.Size([192]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg3_full_band_net.enc3.conv2.conv.1.running_var: copying a param with shape torch.Size([192]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for stg3_full_band_net.enc4.conv1.conv.0.weight: copying a param with shape torch.Size([288, 192, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 256, 3, 3]). size mismatch for stg3_full_band_net.enc4.conv1.conv.1.weight: copying a param with shape torch.Size([288]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.enc4.conv1.conv.1.bias: copying a param with shape torch.Size([288]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.enc4.conv1.conv.1.running_mean: copying a param with shape torch.Size([288]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.enc4.conv1.conv.1.running_var: copying a param with shape torch.Size([288]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.enc4.conv2.conv.0.weight: copying a param with shape torch.Size([288, 288, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 512, 3, 3]). size mismatch for stg3_full_band_net.enc4.conv2.conv.1.weight: copying a param with shape torch.Size([288]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.enc4.conv2.conv.1.bias: copying a param with shape torch.Size([288]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.enc4.conv2.conv.1.running_mean: copying a param with shape torch.Size([288]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.enc4.conv2.conv.1.running_var: copying a param with shape torch.Size([288]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.aspp.conv1.1.conv.0.weight: copying a param with shape torch.Size([384, 384, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for stg3_full_band_net.aspp.conv1.1.conv.1.weight: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.aspp.conv1.1.conv.1.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.aspp.conv1.1.conv.1.running_mean: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.aspp.conv1.1.conv.1.running_var: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.aspp.conv2.conv.0.weight: copying a param with shape torch.Size([384, 384, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for stg3_full_band_net.aspp.conv2.conv.1.weight: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.aspp.conv2.conv.1.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.aspp.conv2.conv.1.running_mean: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.aspp.conv2.conv.1.running_var: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for stg3_full_band_net.aspp.conv3.conv.0.weight: copying a param with shape torch.Size([384, 384, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 1, 3, 3]). size mismatch for stg3_full_band_net.aspp.conv3.conv.1.weight: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for stg3_full_band_net.aspp.conv4.conv.0.weight: copying a param with shape torch.Size([384, 384, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 1, 3, 3]). size mismatch for stg3_full_band_net.aspp.conv4.conv.1.weight: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for stg3_full_band_net.aspp.conv5.conv.0.weight: copying a param with shape torch.Size([384, 384, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 1, 3, 3]). size mismatch for stg3_full_band_net.aspp.conv5.conv.1.weight: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for out.weight: copying a param with shape torch.Size([2, 48, 1, 1]) from checkpoint, the shape in current model is torch.Size([2, 64, 1, 1])." Traceback Error: " File "UVR.py", line 4578, in process_start File "separate.py", line 616, in seperate File "/Volumes/Monterey 2TB/Applications/Ultimate Vocal Remover copy.app/Contents/MacOS/torch/nn/modules/module.py", line 1671, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( "

Error Time Stamp [2023-05-10 01:22:13]

Full Application Settings:

vr_model: UVR-De-Echo-Normal aggression_setting: 10 window_size: 320 batch_size: 4 crop_size: 256 is_tta: True is_output_image: False is_post_process: False is_high_end_process: True post_process_threshold: 0.2 vr_voc_inst_secondary_model: No Model Selected vr_other_secondary_model: No Model Selected vr_bass_secondary_model: No Model Selected vr_drums_secondary_model: No Model Selected vr_is_secondary_model_activate: False vr_voc_inst_secondary_model_scale: 0.9 vr_other_secondary_model_scale: 0.7 vr_bass_secondary_model_scale: 0.5 vr_drums_secondary_model_scale: 0.5 demucs_model: v4 | htdemucs_ft segment: Default overlap: 0.25 shifts: 4 chunks_demucs: Auto margin_demucs: 44100 is_chunk_demucs: False is_primary_stem_only_Demucs: False is_secondary_stem_only_Demucs: False is_split_mode: True is_demucs_combine_stems: False demucs_voc_inst_secondary_model: No Model Selected demucs_other_secondary_model: No Model Selected demucs_bass_secondary_model: No Model Selected demucs_drums_secondary_model: No Model Selected demucs_is_secondary_model_activate: False demucs_voc_inst_secondary_model_scale: 0.9 demucs_other_secondary_model_scale: 0.7 demucs_bass_secondary_model_scale: 0.5 demucs_drums_secondary_model_scale: 0.5 demucs_pre_proc_model: No Model Selected is_demucs_pre_proc_model_activate: False is_demucs_pre_proc_model_inst_mix: False mdx_net_model: Choose Model chunks: Auto margin: 44100 compensate: Auto is_denoise: True is_invert_spec: True mdx_voc_inst_secondary_model: No Model Selected mdx_other_secondary_model: No Model Selected mdx_bass_secondary_model: No Model Selected mdx_drums_secondary_model: No Model Selected mdx_is_secondary_model_activate: False mdx_voc_inst_secondary_model_scale: 0.9 mdx_other_secondary_model_scale: 0.7 mdx_bass_secondary_model_scale: 0.5 mdx_drums_secondary_model_scale: 0.5 is_save_all_outputs_ensemble: True is_append_ensemble_name: False chosen_audio_tool: Manual Ensemble choose_algorithm: Max Spec time_stretch_rate: 2.0 pitch_rate: 2.0 is_gpu_conversion: True is_primary_stem_only: False is_secondary_stem_only: False is_testing_audio: False is_add_model_name: True is_accept_any_input: True is_task_complete: False is_normalization: False is_create_model_folder: True mp3_bit_set: 320k save_format: WAV wav_type_set: 32-bit Float help_hints_var: True model_sample_mode: False model_sample_mode_duration: 30 demucs_stems: All Stems

Anjok07 / ultimatevocalremovergui

Mac osx vr issue with new echo removal #547