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Hi, Thanks for your sharing!
I try to test the pointmlp model and this bug just occured:
project/pointMLP-pytorch/classification_ModelNet40/models# python pointmlp.py
===> testing pointMLP ...
Traceback (most recent call last):
File "pointmlp.py", line 366, in
out = model(data)
File "/root/miniconda3/envs/pointmlp/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "pointmlp.py", line 338, in forward
xyz, x = self.local_grouper_list[i](xyz, x.permute(0, 2, 1)) # [b,g,3] [b,g,k,d]
File "/root/miniconda3/envs/pointmlp/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "pointmlp.py", line 161, in forward
fps_idx = pointnet2_utils.furthest_point_sample(xyz, self.groups).long() # [B, npoint]
File "/root/miniconda3/envs/pointmlp/lib/python3.7/site-packages/pointnet2_ops/pointnet2_utils.py", line 54, in forward
out = _ext.furthest_point_sampling(xyz, npoint)
RuntimeError: falseINTERNAL ASSERT FAILED at "/root/autodl-tmp/project/pointMLP-pytorch/pointnet2_ops_lib/pointnet2_ops/_ext-src/src/sampling.cpp":83, please report a bug to PyTorch. CPU not supported
And then I test whether my cuda is available:
Python 3.7.16 (default, Jan 17 2023, 22:20:44)
[GCC 11.2.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
import torch
torch.cuda.is_available()
True
It seems like my cuda is setting properly. Could you please help me with this confused bug? Hoping for your reply,Thansk!
The text was updated successfully, but these errors were encountered:
Hi, Thanks for your sharing!
I try to test the pointmlp model and this bug just occured:
project/pointMLP-pytorch/classification_ModelNet40/models# python pointmlp.py
===> testing pointMLP ...
Traceback (most recent call last):
File "pointmlp.py", line 366, in
out = model(data)
File "/root/miniconda3/envs/pointmlp/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "pointmlp.py", line 338, in forward
xyz, x = self.local_grouper_list[i](xyz, x.permute(0, 2, 1)) # [b,g,3] [b,g,k,d]
File "/root/miniconda3/envs/pointmlp/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "pointmlp.py", line 161, in forward
fps_idx = pointnet2_utils.furthest_point_sample(xyz, self.groups).long() # [B, npoint]
File "/root/miniconda3/envs/pointmlp/lib/python3.7/site-packages/pointnet2_ops/pointnet2_utils.py", line 54, in forward
out = _ext.furthest_point_sampling(xyz, npoint)
RuntimeError: falseINTERNAL ASSERT FAILED at "/root/autodl-tmp/project/pointMLP-pytorch/pointnet2_ops_lib/pointnet2_ops/_ext-src/src/sampling.cpp":83, please report a bug to PyTorch. CPU not supported
And then I test whether my cuda is available:
Python 3.7.16 (default, Jan 17 2023, 22:20:44)
[GCC 11.2.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
It seems like my cuda is setting properly. Could you please help me with this confused bug? Hoping for your reply,Thansk!
The text was updated successfully, but these errors were encountered: