Is it possible to provide a conda list of a virtual environment where the package can be installed succesfully?

[wzm2256]

Is your feature request related to a problem? Please describe. I have been trying to install the package in every possible way during the past few days. Still, I can not install the package due to all sorts of different errors, including dependence conflict, compile error.

Describe the solution you'd like A conda package list of all required dependence. This can be done by conda list in the target environment.

Describe alternatives you've considered It is also possible to clarify the version of every required package in the readme file. For example conda install pytorch=1.5 cudatoolkit=10.1 -c pytorch instead of conda install pytorch -c pytorch

Additional context

[wzm2256]

I have successfully installed this package, and I share my environment here.

Name Version Build Channel

_libgcc_mutex 0.1 main defaults blas 1.0 mkl defaults ca-certificates 2021.1.19 h06a4308_0 defaults certifi 2020.12.5 py38h06a4308_0 defaults cudatoolkit 10.2.89 hfd86e86_1 defaults freetype 2.10.4 h5ab3b9f_0 defaults intel-openmp 2020.2 254 defaults jpeg 9b h024ee3a_2 defaults lcms2 2.11 h396b838_0 defaults ld_impl_linux-64 2.33.1 h53a641e_7 defaults libedit 3.1.20191231 h14c3975_1 defaults libffi 3.3 he6710b0_2 defaults libgcc-ng 9.1.0 hdf63c60_0 defaults libpng 1.6.37 hbc83047_0 defaults libstdcxx-ng 9.1.0 hdf63c60_0 defaults libtiff 4.1.0 h2733197_1 defaults libuv 1.40.0 h7b6447c_0 defaults lz4-c 1.9.3 h2531618_0 defaults minkowskiengine 0.5.0 pypi_0 pypi mkl 2020.2 256 defaults mkl-service 2.3.0 py38he904b0f_0 defaults mkl_fft 1.2.0 py38h23d657b_0 defaults mkl_random 1.1.1 py38h0573a6f_0 defaults ncurses 6.2 he6710b0_1 defaults ninja 1.10.2 py38hff7bd54_0 defaults numpy 1.19.2 py38h54aff64_0 defaults numpy-base 1.19.2 py38hfa32c7d_0 defaults olefile 0.46 py_0 defaults openssl 1.1.1i h27cfd23_0 defaults pillow 8.1.0 py38he98fc37_0 defaults pip 20.3.3 py38h06a4308_0 defaults python 3.8.5 h7579374_1 defaults pytorch 1.7.1 py3.8_cuda10.2.89_cudnn7.6.5_0 pytorch readline 8.0 h7b6447c_0 defaults setuptools 52.0.0 py38h06a4308_0 defaults six 1.15.0 py38h06a4308_0 defaults sqlite 3.33.0 h62c20be_0 defaults tk 8.6.10 hbc83047_0 defaults torchaudio 0.7.2 py38 pytorch torchvision 0.8.2 py38_cu102 pytorch typing_extensions 3.7.4.3 py_0 defaults wheel 0.36.2 pyhd3eb1b0_0 defaults xz 5.2.5 h7b6447c_0 defaults zlib 1.2.11 h7b6447c_3 defaults zstd 1.4.5 h9ceee32_0 defaults

Hopefully this will be useful for others.

[chrischoy]

The only dependencies are

• pytorch
• numpy
• CUDA >= 11.1 or 11.0 > CUDA >= 10.1.243, No CUDA 11.0 as specified in the readme and it works for latest versions. That is why the versions are not specified. No need to install all the other dependencies that won't be used.

If you have compilation errors, please submit an issue.