SmallMunich / nutonomy_pointpillars

Convert pointpillars Pytorch Model To ONNX for TensorRT Inference

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VoxelNet state_dict error

enesozi opened this issue · comments

Hi,
I trained a network using the original repository. I'm getting the following error when I use this repository to convert the model to ONNX model. Do you have any idea what could be the reason? I can use my model for inference without any problem but conversion is giving me trouble.
TIA,

RuntimeError: Error(s) in loading state_dict for VoxelNet: Missing key(s) in state_dict: "voxel_feature_extractor.pfn_layers.0.conv1.weight", "voxel_feature_extractor.pfn_layers.0.conv1.bias", "voxel_feature_extractor.pfn_layers.0.conv2.weight", "voxel_feature_extractor.pfn_layers.0.conv2.bias", "voxel_feature_extractor.pfn_layers.0.t_conv.weight", "voxel_feature_extractor.pfn_layers.0.t_conv.bias", "voxel_feature_extractor.pfn_layers.0.conv3.weight", "voxel_feature_extractor.pfn_layers.0.conv3.bias".

Hi,
I ended up using the original repository to convert the model to onnx model. I think you've made changes in the source code so that model input could be compatible with the autoware package.

commented

Can u share your code? thanks