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nicolasugrinovic avatar nicolasugrinovic commented on July 1, 2024

Did you solve this? Are you still having that error message?
I get something similar when the code is executed:

error in nnd updateOutput: no kernel image is available for execution on the device
error in nnd get grad: no kernel image is available for execution on the device

Possibly something to do with the CUDA and nvidia driver versions?

from chamferdistancepytorch.

Pomato1999 avatar Pomato1999 commented on July 1, 2024

Did you solve this? Are you still having that error message? I get something similar when the code is executed:

error in nnd updateOutput: no kernel image is available for execution on the device
error in nnd get grad: no kernel image is available for execution on the device

Possibly something to do with the CUDA and nvidia driver versions?

did not . When I execute the test code,
import torch, chamfer3D.dist_chamfer_3D, fscore
chamLoss = chamfer3D.dist_chamfer_3D.chamfer_3DDist()
points1 = torch.rand(32, 1000, 3).cuda()
points2 = torch.rand(32, 2000, 3, requires_grad=True).cuda()
All the above are normal,but,
‘ dist1, dist2, idx1, idx2 = chamLoss(points1, points2) ’,
' no kernel image is available for execution on the device!‘
It bothers me,I don't know what went wrong.
Your situation is the same as mine,so Which version do you use ?

from chamferdistancepytorch.

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