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right now I am using CUDA 11.3 and Pytorch 1.12 and I have the exact issue, without giving any error, the code runs and produces an all zero tensor for the voxel volume despite that point cloud has non-zero features.
I am wondering if you tried the code with a more recent version of CUDA and Pytorch
The text was updated successfully, but these errors were encountered:
I am so glad to receive your reply. As you said, I have also tried pytorch1.5 and cuda10.2, and the API is torch check, but the problem still hasn't been solved. Can you guess where the problem might be?
At the beginning, I didn't know that the voxels before avg were all 0, and I tested the model trained in this case, and it was strange that the classification IOU was normal, ranging from about 70-95%. Can you have a reasonable explanation?
voxel_features, voxel_coords = self.voxelization(features, coords)
right now I am using CUDA 11.3 and Pytorch 1.12 and I have the exact issue, without giving any error, the code runs and produces an all zero tensor for the voxel volume despite that point cloud has non-zero features.
I am wondering if you tried the code with a more recent version of CUDA and Pytorch
The text was updated successfully, but these errors were encountered: