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I've spent some time recently installing this and found a couple issues and fixes. My typical python version (3.9.12) was yielding a lot of errors while installing the dependencies in a new environment via anaconda. The older numpy and scipy version required conflict with recent python, and I also needed to manually install pytorch and torchvision since I didn't have them and they weren't in the requirements.txt file. So here's my fix for a fresh install that currently works, using packages and python released around July 2019:
My sysem and python versions-
OS - Windows 11
CPU - Intel Core i9-12900K, 3200 Mhz, 16 Core(s), 24 Logical Processor(s)
GPU - NVIDIA 3080
pyhon version - 3.9.12
conda version - 4.14.0
My current install method
I downloaded and extracted the code repo ("neural_manifolds_replicaMFT-master").
In the conda prompt (anaconda.org), navigate to the location of the "\neural_manifolds_replicaMFT-master" folder containing the requirements.txt file
I followed this instruction and solved my environment problem, relly helpful. Thank you Garrett!
I'm using conda 23.7.4, python 3.11.4, on a Win 11 workstation.
During the environment setting i ran into another the cvxopt import problem here:
ImportError: DLL load failed: The specified module could not be found.
It could be the environment path or dll rename problem. Here's my solution:
I added the C:\Users\Administrator.conda\envs\py369\Library\bin to both my user and system PATH, copied the mkl_rt.2.dll and mkl_intel_thread.2.dll in the previous folder and renamed the copies as mkl_rt.dll and mkl_intel_thread.dll. Don't know which part worked but happy to see it worked.
I've spent some time recently installing this and found a couple issues and fixes. My typical python version (3.9.12) was yielding a lot of errors while installing the dependencies in a new environment via anaconda. The older numpy and scipy version required conflict with recent python, and I also needed to manually install pytorch and torchvision since I didn't have them and they weren't in the requirements.txt file. So here's my fix for a fresh install that currently works, using packages and python released around July 2019:
My sysem and python versions-
OS - Windows 11
CPU - Intel Core i9-12900K, 3200 Mhz, 16 Core(s), 24 Logical Processor(s)
GPU - NVIDIA 3080
pyhon version - 3.9.12
conda version - 4.14.0
My current install method
I downloaded and extracted the code repo ("neural_manifolds_replicaMFT-master").
In the conda prompt (anaconda.org), navigate to the location of the "\neural_manifolds_replicaMFT-master" folder containing the requirements.txt file
Create a new environment with python 3.6.9
(base)
conda create -n py369 python=3.6.9 anaconda
(base)
conda activate py369
(py369)
pip install -r requirements.txt
(py369)
pip install -e .
Install previous pytorch and torchvision releases, pytorch==1.1.0 torchvision==0.3.0 didn't work
(py369)
conda install pytorch==1.5.1 torchvision==0.6.1 -c pytorch
Open up jupyter and the examples should work
(py369)
jupyter notebook
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