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I met the same problem, did you sovle it ? could you tell me how to do it ?
They are same calibrations data feeding and tensorRT version, my TITAN X is create as model int8. The detection results is good on your 1060 as model int8? The lager...
I created the int8 engine in 1060 1070, 2060 and T4, The speed become more and more slower, the test results become more and more better, and the files become...
when I create Int8 engine on TiTan X, the warings "Int8 supprot resquested on hardware without native Int8 support, preformance will be negatively affected ...", but the engine file is...
I have solved it, the accuracy is poor because I only used one image as the calibration data . The ImageNet need 500 images to calibrate the engine, the result...
It is not be the bottleneck for generating engine。After create the engine file, I want to run the engine file on the specified GPU,so I set GPU ID by "cudaSetDevice",...
Have you ever done this experiment:For graphics cards with the same architecture, engine files generated under low-profile graphics cards (1060)be used under high-profile graphics cards(1080)?
Thanks for you reply. I also read the words in TensorRT document, although the output value of cudaSetDevice()(before create engine) is error, it create the engine and get the correct...
I make the error deliberately, I want to know if the engine file is still generated properly even if I set it incorrectly. I set it incorrectly and the file...
Did you solve the problem?