This issue is not critical for me, but sometimes frustrating. I currently have the most recent driver installed (296.88 from 13 June) but the problem persists (I have not been able to find the driver which was installed on my system back in February when it still worked, but it is hard to imagine that later drivers support less functionality).Īttached are screenshots from GPU caps viewer. In the console window, I can see the following at startup in 0.8.5 64 bit:

Hardware geometry instancing, soft shadows, point sprite particles, HDR. To find the latest version of GPS Caps Viewer, Go the the web site. This utility is useful for all 3D enthusiasts and graphics developers and is a must-to-have in you graphics-geek-toolbox. Not in 0.8.5, not in 0.8.4, not in 64 or 32 bit installations. GPU Caps Viewer is a graphics card utility for Windows (32/64-bit). If done correctly you should have a option to choose your prefered gpu. However, after I have done a clean install of Windows after a hardware issue in my laptop in March, Photoscan still recognizes the GPU but doesn't list it under OpenCL devices anymore. Sakura is not my favorite character in NUNS4, but this mod might change my mind. When I first started using this laptop in February and installed Photoscan (0.8.4 at that time), it recognized and listed the GPU under OpenCL devices (2GB RAM). I have a Dell Precision M4600 mobile workstation with i7-2860QM (running Windows 7 64bit), 16GB RAM and Nvidia Quadro2000M ( ). Lgb_model = lgb.I realize this is a computer specific issue and not a Photoscan bug, but after discussing this elaborately with Alexey and not having solved the issue, I'd like to ask some more opinions: developers and is a must-to-have in you graphics-geek-toolbox. Lgb_model = lgb.LGBMClassifier(nthread=3,silent=False, device = 'gpu',gpu_platform_id=0, gpu_device_id=0, verbose = 3) This utility is useful for all 3D enthusiasts and graphics. I've tried combinations of the gpu_platform_id and gpu_device_id separately, as an example below: When I train XGBoost, it is able to detect and use the NVIDIA card. Here is a screenshot from GPU Caps Viewer: ^ According to this, it should automatically default to my NVIDIA card instead of the Integrated card. The workaround is to disable your dedicated graphics card to be able to use your integrated graphics card. If you have integrated graphics card (Intel HD Graphics) and a dedicated graphics card (AMD, NVIDIA), the dedicated graphics card will automatically override the integrated graphics card. A new version of GPU Caps Viewer is available. Lgb_model = lgb.LGBMClassifier(nthread=3,silent=False, device = 'gpu')Īs seen above, it defaults to my Intel integrated graphics card.

I installed LightGBM on Windows using the instructions from

Gpu caps viewer not seeing my gpu