load model error

[safehumeng]

python main_demo_GenLaneNet_ext.py
and don't work

Unexpected key(s) in state_dict: "encoder.0.weight", "encoder.0.bias", "encoder.1.weight", "encoder.1.bias", "encoder.1.running_mean", "encoder.1.running_var", "encoder.1.num_batches_tracked", "encoder.4.weight", "encoder.4.bias", "encoder.5.weight", "encoder.5.bias", "encoder.5.running_mean", "encoder.5.running_var", "encoder.5.num_batches_tracked", "encoder.8.weight", "encoder.8.bias", "encoder.9.weight", "encoder.9.bias", "encoder.9.running_mean", "encoder.9.running_var", "encoder.9.num_batches_tracked", "encoder.12.weight", "encoder.12.bias", "encoder.13.weight", "encoder.13.bias", "encoder.13.running_mean", "encoder.13.running_var", "encoder.13.num_batches_tracked", "lane_out.features.0.weight", "lane_out.features.0.bias", "lane_out.features.1.weight", "lane_out.features.1.bias", "lane_out.features.1.running_mean", "lane_out.features.1.running_var", "lane_out.features.1.num_batches_tracked", "lane_out.features.3.weight", "lane_out.features.3.bias", "lane_out.features.4.weight", "lane_out.features.4.bias", "lane_out.features.4.running_mean", "lane_out.features.4.running_var", "lane_out.features.4.num_batches_tracked", "lane_out.features.6.weight", "lane_out.features.6.bias", "lane_out.features.7.weight", "lane_out.features.7.bias", "lane_out.features.7.running_mean", "lane_out.features.7.running_var", "lane_out.features.7.num_batches_tracked", "lane_out.features.9.weight", "lane_out.features.9.bias", "lane_out.features.10.weight", "lane_out.features.10.bias", "lane_out.features.10.running_mean", "lane_out.features.10.running_var", "lane_out.features.10.num_batches_tracked", "lane_out.features.12.weight", "lane_out.features.12.bias", "lane_out.features.13.weight", "lane_out.features.13.bias", "lane_out.features.13.running_mean", "lane_out.features.13.running_var", "lane_out.features.13.num_batches_tracked", "lane_out.features.15.weight", "lane_out.features.15.bias", "lane_out.features.16.weight", "lane_out.features.16.bias", "lane_out.features.16.running_mean", "lane_out.features.16.running_var", "lane_out.features.16.num_batches_tracked", "lane_out.features.18.weight", "lane_out.features.18.bias", "lane_out.features.19.weight", "lane_out.features.19.bias", "lane_out.features.19.running_mean", "lane_out.features.19.running_var", "lane_out.features.19.num_batches_tracked", "lane_out.dim_rt.0.weight", "lane_out.dim_rt.0.bias", "lane_out.dim_rt.1.weight", "lane_out.dim_rt.1.bias", "lane_out.dim_rt.1.running_mean", "lane_out.dim_rt.1.running_var", "lane_out.dim_rt.1.num_batches_tracked", "lane_out.dim_rt.3.weight", "lane_out.dim_rt.3.bias".

[noobliang]

python main_demo_GenLaneNet_ext.py
and don't work

Unexpected key(s) in state_dict: "encoder.0.weight", "encoder.0.bias", "encoder.1.weight", "encoder.1.bias", "encoder.1.running_mean", "encoder.1.running_var", "encoder.1.num_batches_tracked", "encoder.4.weight", "encoder.4.bias", "encoder.5.weight", "encoder.5.bias", "encoder.5.running_mean", "encoder.5.running_var", "encoder.5.num_batches_tracked", "encoder.8.weight", "encoder.8.bias", "encoder.9.weight", "encoder.9.bias", "encoder.9.running_mean", "encoder.9.running_var", "encoder.9.num_batches_tracked", "encoder.12.weight", "encoder.12.bias", "encoder.13.weight", "encoder.13.bias", "encoder.13.running_mean", "encoder.13.running_var", "encoder.13.num_batches_tracked", "lane_out.features.0.weight", "lane_out.features.0.bias", "lane_out.features.1.weight", "lane_out.features.1.bias", "lane_out.features.1.running_mean", "lane_out.features.1.running_var", "lane_out.features.1.num_batches_tracked", "lane_out.features.3.weight", "lane_out.features.3.bias", "lane_out.features.4.weight", "lane_out.features.4.bias", "lane_out.features.4.running_mean", "lane_out.features.4.running_var", "lane_out.features.4.num_batches_tracked", "lane_out.features.6.weight", "lane_out.features.6.bias", "lane_out.features.7.weight", "lane_out.features.7.bias", "lane_out.features.7.running_mean", "lane_out.features.7.running_var", "lane_out.features.7.num_batches_tracked", "lane_out.features.9.weight", "lane_out.features.9.bias", "lane_out.features.10.weight", "lane_out.features.10.bias", "lane_out.features.10.running_mean", "lane_out.features.10.running_var", "lane_out.features.10.num_batches_tracked", "lane_out.features.12.weight", "lane_out.features.12.bias", "lane_out.features.13.weight", "lane_out.features.13.bias", "lane_out.features.13.running_mean", "lane_out.features.13.running_var", "lane_out.features.13.num_batches_tracked", "lane_out.features.15.weight", "lane_out.features.15.bias", "lane_out.features.16.weight", "lane_out.features.16.bias", "lane_out.features.16.running_mean", "lane_out.features.16.running_var", "lane_out.features.16.num_batches_tracked", "lane_out.features.18.weight", "lane_out.features.18.bias", "lane_out.features.19.weight", "lane_out.features.19.bias", "lane_out.features.19.running_mean", "lane_out.features.19.running_var", "lane_out.features.19.num_batches_tracked", "lane_out.dim_rt.0.weight", "lane_out.dim_rt.0.bias", "lane_out.dim_rt.1.weight", "lane_out.dim_rt.1.bias", "lane_out.dim_rt.1.running_mean", "lane_out.dim_rt.1.running_var", "lane_out.dim_rt.1.num_batches_tracked", "lane_out.dim_rt.3.weight", "lane_out.dim_rt.3.bias".

if you run in cpu, the net has not Self.encoder, you can have a look for model_geo.init

[safehumeng]

python main_demo_GenLaneNet_ext.py
and don't work
Unexpected key(s) in state_dict: "encoder.0.weight", "encoder.0.bias", "encoder.1.weight", "encoder.1.bias", "encoder.1.running_mean", "encoder.1.running_var", "encoder.1.num_batches_tracked", "encoder.4.weight", "encoder.4.bias", "encoder.5.weight", "encoder.5.bias", "encoder.5.running_mean", "encoder.5.running_var", "encoder.5.num_batches_tracked", "encoder.8.weight", "encoder.8.bias", "encoder.9.weight", "encoder.9.bias", "encoder.9.running_mean", "encoder.9.running_var", "encoder.9.num_batches_tracked", "encoder.12.weight", "encoder.12.bias", "encoder.13.weight", "encoder.13.bias", "encoder.13.running_mean", "encoder.13.running_var", "encoder.13.num_batches_tracked", "lane_out.features.0.weight", "lane_out.features.0.bias", "lane_out.features.1.weight", "lane_out.features.1.bias", "lane_out.features.1.running_mean", "lane_out.features.1.running_var", "lane_out.features.1.num_batches_tracked", "lane_out.features.3.weight", "lane_out.features.3.bias", "lane_out.features.4.weight", "lane_out.features.4.bias", "lane_out.features.4.running_mean", "lane_out.features.4.running_var", "lane_out.features.4.num_batches_tracked", "lane_out.features.6.weight", "lane_out.features.6.bias", "lane_out.features.7.weight", "lane_out.features.7.bias", "lane_out.features.7.running_mean", "lane_out.features.7.running_var", "lane_out.features.7.num_batches_tracked", "lane_out.features.9.weight", "lane_out.features.9.bias", "lane_out.features.10.weight", "lane_out.features.10.bias", "lane_out.features.10.running_mean", "lane_out.features.10.running_var", "lane_out.features.10.num_batches_tracked", "lane_out.features.12.weight", "lane_out.features.12.bias", "lane_out.features.13.weight", "lane_out.features.13.bias", "lane_out.features.13.running_mean", "lane_out.features.13.running_var", "lane_out.features.13.num_batches_tracked", "lane_out.features.15.weight", "lane_out.features.15.bias", "lane_out.features.16.weight", "lane_out.features.16.bias", "lane_out.features.16.running_mean", "lane_out.features.16.running_var", "lane_out.features.16.num_batches_tracked", "lane_out.features.18.weight", "lane_out.features.18.bias", "lane_out.features.19.weight", "lane_out.features.19.bias", "lane_out.features.19.running_mean", "lane_out.features.19.running_var", "lane_out.features.19.num_batches_tracked", "lane_out.dim_rt.0.weight", "lane_out.dim_rt.0.bias", "lane_out.dim_rt.1.weight", "lane_out.dim_rt.1.bias", "lane_out.dim_rt.1.running_mean", "lane_out.dim_rt.1.running_var", "lane_out.dim_rt.1.num_batches_tracked", "lane_out.dim_rt.3.weight", "lane_out.dim_rt.3.bias".

if you run in cpu, the net has not Self.encoder, you can have a look for model_geo.init

thanks

[spcrobocar]

How can I solve this problem? I do want to run the demo on CPU.