Seems a bit odd to me that a GTX1060 is beat by a GTX970, but that might be because of the mobile vs desktop version? , l am pretty sure l have ran other tests posted on this website showign a GTX1060 exceeding a GTX970
“Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. In 1959, Arthur Samuel defined machine learning as a “Field of study that gives computers the ability to learn without being explicitly programmed”.” ..Wikipedia
I get the below error message snippet a lot while trying to compile Nvidia Cuda 10 samples for testing Cuda GPU development [ c++ code]:
The Windows SDK version 10.0.15063.0 was not found. Install the required version of Windows SDK or change the SDK version in the project property pages or by right-clicking the solution and selecting “Retarget solution”.
145>Done building project “topologyQuery_vs2017.vcxproj” — FAILED.
Solution l have found is to double check the Visual Studio 2017 installer and check installing below. It seems even though l have a full VS 2017 installation with all the default sections installed, a more recent SDK is installed on my workstation.
This is still baking, so far 60Gb bake files and climbing at 334 out of 501 frames. Domain resolution used – 500 – ie High Quality.
Bake files grew from 55Mb [frame 1] to currently 277Mb [frame 333] !
Will update on the progress and final render.
and finally… after almost 2 days baking non stop…..
Below shows me trying to render one single frame and yet getting out of CUDA memory error.
I’m using a GTX1080 with 8Gb VRAM, on a i7 Quad core PC with 32Gb RAM
Switching to a CPU render and the results are below.
Time taken 1 hour for frame 348
Until l can find a quicker way to render each frame, by cuda which is usually faster especially since l have access to about 3000+ cuda cores collectively on my core workstation, l will give this project a rest for now.
I tried command line blender rendering of frames 16, 348 with my 8gb gtx1080 / l get the cuda error as the gpu ram used reached about 7gb out of the 8gb,
Currently rendering the first 200 frames as shown below.