aRI0U / RandLA-Net-pytorch

PyTorch implementation of RandLA-Net

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Where to install torch_points from ?

bhosalems opened this issue · comments

We have spent some time trying to install torch_points_kernel but it is giving us hard time. as it gives us the error mentioned in #13

We are trying to build the torch_points_cloud locally but it is resulting in another issue opened here https ://github.com/torch-points3d/torch-points-kernels/issues/94

I see that either torch_points or torch_points_kernel is required, but I can not find any command online to install torch_points.

Can someone please let us know how to install torch_points or any workaround to use knn on cuda.

Thanks

We were able to install torch_points3d, which installs torch_points_kernels as well https://torch-points3d.readthedocs.io/en/latest/. Below are versions of relevant pkgs if someone drops by later to this issue.

$ conda list | grep torch
ffmpeg                    4.3                  hf484d3e_0    pytorch
pytorch                   1.11.0          py3.7_cuda11.3_cudnn8.2.0_0    pytorch
pytorch-metric-learning   0.9.99                   pypi_0    pypi
pytorch-mutex             1.0                        cuda    pytorch
torch-cluster             1.6.0                    pypi_0    pypi
torch-geometric           1.7.2                    pypi_0    pypi
torch-points-kernels      0.6.10                   pypi_0    pypi
torch-points3d            1.3.0                    pypi_0    pypi
torch-scatter             2.0.9                    pypi_0    pypi
torch-sparse              0.6.13                   pypi_0    pypi
torchaudio                0.11.0               py37_cu113    pytorch
torchfile                 0.1.0                    pypi_0    pypi
torchnet                  0.0.4                    pypi_0    pypi
torchvision               0.12.0               py37_cu113    pytorch
$ conda list | grep cuda
cudatoolkit               11.3.1               h2bc3f7f_2
pytorch                   1.11.0          py3.7_cuda11.3_cudnn8.2.0_0    pytorch
pytorch-mutex             1.0                        cuda    pytorch