29.03.2022, 18:50
(29.03.2022, 18:37)Selur Wrote: Don't know what to do with the sample.
Since I don't own a card that has tensor cores, since you say that using those tensor cores is only possible when the full SDK is installed and it can't be used in a portable setup the only conclusion for me is that I will remove support for the tensor model completely from Hybrid. (At least until I either own a card with tensor support or someone else figures out a way to make it portable.)
Cu Selur
The problem is that on my PC vs-dpir is configured to work with "onnxruntime_gpu" and this addon is not working with the dlls located in the local folder. On my PC I was unable to get working even the CUDA version of vs-dipr. In effect I asked to you to stay on version 1.7.1 of vs-dpir because the version 2.0.0 switched on "onnxruntime_gpu" and this is the addon that has problems working in portable way. It seems that "onnxruntime_gpu" looks for the environment variable CUDA_PATH and then it expect to find under this path the folder structure: .\bin, .\lib, ...
P.S.
In my tests the increase in speed between version 1.6.0 and 2.0.0 of vs-dpir is only 3.5% (the quality seems the same).