One remaining issue I’m encountering is regarding getting my environment setup correctly for Nengo Loihi. I had asked about this issue earlier in this thread on April 21st. It has to do with getting the correct versions of nengo, nengo-gui, nengo-ocl, and numpy working together.
You had told me in another thread: Cannot convert a symbolic Tensor to a numpy array I should be using Numpy 1.19.2 or 1.19.5 with NengoDL. So I downgraded my numpy from 1.20.1 to 1.19.5.
The primary Nengo example I’m trying to get working is the CIFAR-10 convolutional network. I have added everything I think I need to my basic cpu environment and am attaching a file for my installed packages.
py37_envirList_24-May-21.pdf (58.8 KB)
It appears I’m back to my circular problem of getting the correct versions of nengo, nengo-ocl, and nengo-gui. After I downgrade my numpy to 1.19.5, I end up getting out of sync with my other packages.
So I’m still trying to figure out if I have installed the proper combination of versions for the following packages:
Nengo 3.0.0
NengoDL 3.4.0
Nengo-Loihi 1.0.0
Nento-OCL 2.0.0
Numpy 1.19.5
As always, thank you for your support.