Can we remove the version for the dependencies in environment.yaml

[XiaoyanQian]

Will this work?

environment.yaml

name: mesh_funcspace
channels:

• conda-forge
• pytorch
• defaults
  dependencies:
• cython
• imageio
• numpy
• numpy-base
• matplotlib
• matplotlib-base
• pandas
• pillow
• pyembree
• pytest
• python
• pytorch
• pyyaml
• scikit-image
• scipy
• tensorboardx
• torchvision
• tqdm
• trimesh
• pip
• pip:
  • h5py
  • plyfile

[liu-bohan]

Don't think so, since PyTorch used in this project, v1.0.0, is such an old version, and newer versions may lead to incompatibility problems. in summary, executable but don't recommend .

[XiaoyanQian]

But I have cuda 11.4; there is also incompatibility of PyTorch of V1.0.0, right？

[liu-bohan]

According to PyTorch.org , Yes. you can try CUDA 10.0 on Ubuntu20.04 as a reference, which worked for me

[XiaoyanQian]

Thank you so much, But I have no cuda 10.0. Could we keep cuda 11.4 and cuda 10.0 in one server?

[hahahahahahahap]

of course. you can keep them in one server