Open asaoulis opened 3 days ago
Can you show me the output of pip list
or conda list
of your env?
Thanks for the prompt reply. When I run pip install -e .
on a clean conda env, the install fails so it's just the basic conda environment. I've then tried installing the latest available versions of your requirements via:
pip install torch numpy scipy scikit-learn extension-helpers cython
pip list
:
Python 3.8.20
Cython 3.0.11
extension-helpers 1.2.0
filelock 3.16.1
fsspec 2024.10.0
Jinja2 3.1.4
joblib 1.4.2
MarkupSafe 2.1.5
mpmath 1.3.0
networkx 3.1
numpy 1.24.4
nvidia-cublas-cu12 12.1.3.1
nvidia-cuda-cupti-cu12 12.1.105
nvidia-cuda-nvrtc-cu12 12.1.105
nvidia-cuda-runtime-cu12 12.1.105
nvidia-cudnn-cu12 9.1.0.70
nvidia-cufft-cu12 11.0.2.54
nvidia-curand-cu12 10.3.2.106
nvidia-cusolver-cu12 11.4.5.107
nvidia-cusparse-cu12 12.1.0.106
nvidia-nccl-cu12 2.20.5
nvidia-nvjitlink-cu12 12.6.85
nvidia-nvtx-cu12 12.1.105
pip 24.3.1
scikit-learn 1.3.2
scipy 1.10.1
setuptools 70.3.0
sympy 1.13.3
threadpoolctl 3.5.0
tomli 2.2.1
torch 2.4.1
triton 3.0.0
typing_extensions 4.12.2
wheel 0.45.1
I then get the same error as above on my linux cluster. The install works fine on a fresh Google colab, interestingly.
Hi! Thanks for the code implementation of this interesting work. I've attempted to install the package directly through git repo with
pip install -e .
with a variety of clean conda environments, on python 3.7 3.8 and 3.9. I have tried this on both a MacOS machine and a linux cluster. I get the same error in all environments during the installation stage.Then followed by a very long list of Cython compilation errors.
torch
is also missing from the package dependencies list.Thanks again!