Comments (10)
linchunmian
commented on August 23, 2024
2
I convert the type of feature_map_size to int32 by adding .to(torch.int32).
It seems this bug has passed, and the code run normally.
Many thanks for your helps.
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tianweiy
commented on August 23, 2024
Seems that some value need to be converted to cuda. You can just add a cuda() at that line ?
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linchunmian
commented on August 23, 2024
Thanks. It confuses me that I just clone the project without any modifications, and the environment is ok. Also, I could run other 3D detection model, e.g. PV-RCNN with corresponding config file, and the result is normal. You know, the most difference bwtween centerpoint_rcnn and pv-rcnn is the part of DenseHead. I have checked the variances that maybe occur error in centerpoint_head.py carefully, but unfortunately the bug still exists.Could you please give me a hand? And any instructions would be appreciated.Regards. ---- Replied Message ----FromTianwei ***@***.***>Date05/25/2021 21:34 ***@***.***> ***@***.******@***.***>SubjectRe: [tianweiy/CenterPoint-KITTI] RuntimeError: Expected object of backend CUDA but got backend CPU for argument #2 'other' (#3)
Seems that some value need to be converted to cuda. You can just add a cuda() at that line ?
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tianweiy
commented on August 23, 2024
I mean adding a cuda() to this line you referenced #2 (comment)
Does this work? If not please paste the full log, this is easier than sentences for debugging
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linchunmian
commented on August 23, 2024
I mean adding a cuda() to this line you referenced #2 (comment)
Does this work? If not please paste the full log, this is easier than sentences for debugging
Thanks. The error information is as follows:
Where should cuda() be added?
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tianweiy
commented on August 23, 2024
either center_int or feature_map_size
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tianweiy
commented on August 23, 2024
like
center_int[0].cuda() < feature_map_size[0].cuda() ...
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linchunmian
commented on August 23, 2024
like
center_int[0].cuda() < feature_map_size[0].cuda() ...
Many thanks. As you said, I have added cuda() behind the variance of 'feature_map_size', and new type problem happens:
How to solve it? By the way, adding cuda() after center_int, e.g center_int().cuda() does not make effect.
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tianweiy
commented on August 23, 2024
try this
if not (0 <= center_int[0] < feature_map_size[0].cuda().int()
and 0 <= center_int[1] < feature_map_size[1].cuda().int()):
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bi-qiuqiu
commented on August 23, 2024
I convert the type of feature_map_size to int32 by adding .to(torch.int32). It seems this bug has passed, and the code run normally. Many thanks for your helps.
Did you change all feature_map_size in this file to feature_map_size.to(torch.int32)?I changed line 269 to if not (0 <= center_int[0] < feature_map_size[0].cuda().int()，but this problem arises.
and 0 <= center_int[1] < feature_map_size[1].cuda().int()):
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