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In export.onnx.py, it's this:
( if with_voxel_center:
in_channels += 3)
but in pillar_encoder.py:
(if with_voxel_center:
in_channels += 2)
when i export onnx files, the error is :
size mismatch for pfn_layers.0.linear.weight: copying a param with shape torch.Size([64, 9]) from checkpoint, the shape in current model is torch.Size([64, 10]).
so ,should I change in_channels += 3 to += 2 in ecport_onnx.py?
I tried it , but when i inference in C++ ,the results were terrible, should i change the preprocess.cu?
The text was updated successfully, but these errors were encountered:
In export.onnx.py, it's this:
( if with_voxel_center:
in_channels += 3)
but in pillar_encoder.py:
(if with_voxel_center:
in_channels += 2)
when i export onnx files, the error is :
size mismatch for pfn_layers.0.linear.weight: copying a param with shape torch.Size([64, 9]) from checkpoint, the shape in current model is torch.Size([64, 10]).
so ,should I change in_channels += 3 to += 2 in ecport_onnx.py?
I tried it , but when i inference in C++ ,the results were terrible, should i change the preprocess.cu?
The text was updated successfully, but these errors were encountered: