Comments (5)
I think this is caused by your video card timing out. Many people have been having similar problems running the executable and are concluding it's a memory problem. I rebuilt the exe to disable image resizing and processing 1500px images only need about 5GB, and 2000px images only need about 10GB. The only trouble I've had is with a GeForce card (Tesla works fine in TCC mode) and the Timeout Detection & Recovery (TDR). The TDR can be disabled using the NSight Monitor, and doing so allows a GTX 1070 to process the example images with any ratio and other images with much higher resolution (with a modified binary).
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I am using GTX960 4GB... does it mean I cannot run example with ratio higher than 0.2?
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Hi, Micah867, could you share some info on how to disable image resizing?
from deep-image-analogy.
If a single cuda launch takes longer than 2 seconds (the default number, I think) then the program will crash. You can reduce the required time by using smaller images or using a lower ratio. Alternatively, you can disable the time limit (TDR).
A GTX960 has plenty of memory to run the program, but depending on the input image size and ratio it might not finish each individual calculation in less than 2 seconds and crash.
The maximum image size is hardcoded as 700px to prevent crashes. You can just find/replace 700 with 7000000 in DeepAnalogy.cu. Expect the program to crash if you input an image too large.
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Thanks @Micah867
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Related Issues (20)
- lcaffe
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