flownet3d_pytorch
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cudaErrorIllegalAddress on PointNetFeaturePropogation
Hello,
I am trying to implement the FlowNet3D used for kitti. As in here: FlowNet3D
I am running into an error I can't get around:
File "/home/zuanazzi/PointCloudFlow/flownet3d_pytorch/util.py", line 396, in forward
dists[dists < 1e-10] = 1e-10
RuntimeError: copy_if failed to synchronize: cudaErrorIllegalAddress: an illegal memory access was encountered.
from flownet3d_pytorch.util import PointNetFeaturePropogation
pc1 = torch.zeros(2, 3, 8192)
l1_pc1 = torch.zeros(2, 3, 8192)
feature1 = None
l1_fnew1 = torch.zeros(2, 256, 8192)
layer = PointNetFeaturePropogation(in_channel=256, mlp=[256, 256])
out = layer(pc1, l1_pc1, feature1, l1_fnew1)
print(out.shape)```
I am using a v100-32 gpu. The model implemented in this repo runs fine, but it fails when I change the parameters of the layers.
Any ideas on how to fix it?