Windows installation / Kaolin Issue #2

Activity

1. jzr99 commented on Jun 21, 2024

   

   jzr99

   on Jun 21, 2024

   Last edited by jzr99

   Collaborator

   More actions

   Hi,

   What if you try to install a compatible version of pytorch and kaolin with CUDA 11.8 to avoid installing from source.

   For example, install

   # For CUDA 11.8
   conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.8 -c pytorch -c nvidia
   pip install kaolin==0.15.0 -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.0.1_cu118.html
   

   Although we do not test our code with CUDA 11.8 and pytorch 2.0.1, but I assume the results should be similar.
2. atonalfreerider commented on Jun 21, 2024

   

   atonalfreerider

   on Jun 21, 2024

   Last edited by atonalfreerider

   Author

   More actions

   Thank you, there are other incompatibilities with python 3.7 in these cases:

   Could not solve for environment specs
   The following packages are incompatible
   ├─ pin-1 is installable and it requires
   │  └─ python 3.7.* , which can be installed;
   └─ torchvision 0.15.2  is not installable because there are no viable options
      ├─ torchvision 0.15.2 would require
      │  └─ python >=3.10,<3.11.0a0 , which conflicts with any installable versions previously reported;
      ├─ torchvision 0.15.2 would require
      │  └─ python >=3.11,<3.12.0a0 , which conflicts with any installable versions previously reported;
      ├─ torchvision 0.15.2 would require
      │  └─ python >=3.8,<3.9.0a0 , which conflicts with any installable versions previously reported;
      └─ torchvision 0.15.2 would require
         └─ python >=3.9,<3.10.0a0 , which conflicts with any installable versions previously reported.
   
   Pins seem to be involved in the conflict. Currently pinned specs:
    - python 3.7.* (labeled as 'pin-1')
   

   EDIT:
   Installing with Python 3.10 is proceeding. I'm working on getting Pytorch3D reinstalled

   multiply/
   conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.8 -c pytorch -c nvidia
   pip install kaolin==0.15.0 -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.0.1_cu118.html
   
   pip install -r requirements.txt
   
   conda install -c fvcore -c iopath -c conda-forge fvcore iopath
   conda install -c bottler nvidiacub
   
   pytorch3d/ pip install -e .
   

   I encountered this error, and installed CUB_HOME even though this is deprecated:
   https://stackoverflow.com/questions/62304087/installing-pytorch3d-fails-with-anaconda-and-pip-on-windows-10

   Currently having an issue compiling pytorch3d, even though this wasn't a problem before.
3. jzr99 commented on Jun 22, 2024

   

   jzr99

   on Jun 22, 2024

   Last edited by jzr99

   Collaborator

   More actions

   Hi,

   I'll be on vacation till July 1st. If it is possible, we highly recommend you trying to install those dependencies and run our code on a Linux-like system. We currently do not have a Windows PC to test the compatibility of the dependencies.
4. jzr99

   assigned

   jzr99

   and unassigned

   jzr99

   on Jun 22, 2024
5. atonalfreerider commented on Jun 26, 2024

   

   atonalfreerider

   on Jun 26, 2024

   Author

   More actions

   I was able to get everything running on Ubuntu 24. I made upgrades for CUDA 11.8 and Python 3.10. Please see my fork here:
   https://github.com/atonalfreerider/MultiPly/tree/cuda-11.8

   I had to use GCC v 10 (not v 11) to get the Kaolin and Pytorch3d binaries to compile. I might see if I can get this to work for Windows as well.