Comments (9)
Hi, @nicolexie. I have fixed check API for PyTorch 1.5 and tried running the command. It should work now for PyTorch 1.5.
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Hi, @nicolexie. I have fixed check API for PyTorch 1.5 and tried running the command. It should work now for PyTorch 1.5.
Thanks for the reply. I use PyTorch 1.3.0 recently. The output format is right, but the values are all zeros, I have not figure out
the reason.
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Hi, @nicolexie.
I would recommend you to delete _pvccn_backend
under /tmp/torch_extensions, and tried again.
For Pytorch 1.3, the check API in this file should be AT_CHECK
, while TORCH_CHECK
for Pytorch 1.5.
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Hi, @nicolexie.
I would recommend you to delete_pvccn_backend
under /tmp/torch_extensions, and tried again.
For Pytorch 1.3, the check API in this file should beAT_CHECK
, whileTORCH_CHECK
for Pytorch 1.5.
I tried, pytorch 1.3 and1.5 both, but I got the same error
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cuda
Hi, @nicolexie.
I would recommend you to delete_pvccn_backend
under /tmp/torch_extensions, and tried again.
For Pytorch 1.3, the check API in this file should beAT_CHECK
, whileTORCH_CHECK
for Pytorch 1.5.I tried, pytorch 1.3 and1.5 both, but I got the same error
maybe cuda problem
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Hi, @synxlin @nicolexie ! I met the same problem.
voxel_features, voxel_coords = self.voxelization(features, coords)
voxel_features are zeros.
Confusedly, the program doesn't raise any warning and error.
My environments are as follows:
pytorch 1.3.1
cuda 10.0
How do you solve this problem? Any suggestion will be appreciated a lot!
Best regards
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Hi, @synxlin @nicolexie ! I met the same problem.
voxel_features, voxel_coords = self.voxelization(features, coords)
voxel_features are zeros.Confusedly, the program doesn't raise any warning and error.
My environments are as follows:
pytorch 1.3.1
cuda 10.0
How do you solve this problem? Any suggestion will be appreciated a lot!Best regards
I changed the cuda version, and
My environments are as follows:
pytorch 1.5
cuda 10.0
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Hi @nicolexie,
So did changing the CUDA version solved your problem entirely? right now I am using CUDA 11.6 and Pytorch 1.13 and I have the exact same 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
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你好@nicolexie,
现在更改 CUDA 版本是否解决了您的问题?现在我正在完全使用 CUDA 11.6 和 Pytorch 1.13,我遇到了几十个问题,没有给出任何错误,代码运行并为体素体积生成全零张量,点云具有非零特征。
我想知道您是否使用 CUDA 和 Pytorch 的更新版本尝试过该代码
Hello, I also encountered the same problem as you. Did you solve it? I would be very grateful if you could reply.
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Related Issues (20)
- RuntimeError: Error building extension '_pvcnn_backend': HOT 3
- CUDA kernel failed : an illegal memory access was encountered HOT 2
- How to convert custom op into tensorrt HOT 1
- Why use the code x = x - (minx + args.block_size / 2) in data/s3dis/prepare_data.py? HOT 2
- Two questions about feature extraction HOT 2
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- Function TrilinearDevoxelizationBackward returned an invalid gradient at index 0 - got [4, 192, 32, 32, 32] but expected shape compatible with [4, 192, 34, 34, 34]
- voxelization part HOT 1
- Some issues about feature propessing. HOT 4
- Data Pre processing Issue. HOT 4
- Code about S3DIS visualization HOT 1
- About ModuleNotFoundError: No module named 'config.shapenet' HOT 1
- Can I use just one step of voxelization and devoxelization operator to voxelize and devoxelize the point cloud? HOT 2
- Pretrained Models Page Not Found HOT 3
- Voxel features are all zero HOT 3
- ImportError: DLL load failed while importing _pvcnn_backend: 找不到指定的模块。 HOT 2
- Model Inference HOT 1
- vox_coords = torch.round(norm_coords).to(torch.int32) HOT 1
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