WinError: Failed to load artm shared library from artm.dll

[leweex95]

I have been struggling with the installation of the original library, BigARTM, for quite a while now, on Windows 10 OS but with no success. I saw my same issue having been raised over there for over a year without a response, and seeing the vast number of open tickets and lack of development, I concluded that, sadly, the BigARTM project is seemingly a failing, dead project by now.

So I was enthusiastic to discover TopicNet and was hoping that the installation on Windows is finally made available and tested. But I see that TopicNet installation relies exclusively on the underlying BigARTM's installation, which is still failing on Windows with the following error:

OSError: [WinError 126] The specified module could not be found
Failed to load artm shared library from `['C:\\BigARTM\\python\\artm\\wrapper\\..\\artm.dll', 'artm.dll']`.
Try to add the location of `artm.dll` file into your PATH system variable, or to set ARTM_SHARED_LIBRARY -
the specific system variable which may point to `artm.dll` file, including the full path.

Is there any way to discover this dll file for all of us, Windows users?

[Alvant]

@leweex95,

BigARTM installation process (especially on Windows) is a field which nobody likes to talk about. It's a dark jungle. Many of those who ventured into these wilds never returned 😶‍🌫️

Talking more seriously, first, thanks for your interest in ARTM! and, second, sorry for the late response :)

Next, I don't like to think about ARTM as a "dead project". I believe it is more accurate to say that it is just no longer in a "state of active development" (just like TopicNet is now, as you may (or probably may not 🙃) have noticed). ARTM is working (for those who were able to install it 😅), serves its purpose, and that's it.

I regret to say, but I can't help you with BigARTM installation on Windows (it looks like only a few core ARTM developers can say something meaningful about it).

As a "somewhat solution" to your problem as a Windows user (of course, if it can still be relevant for you 🙂), I might propose using BigARTM (TopicNet) in Google Colab. You can find more info (links to notebooks) in TopicNet's Readme (just search by string "Colab"). Also, docker images with BigARTM preinstalled are available (more info also in Readme).