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non-CUDA GPU #77
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Hi, |
Hi! Yeah, It is what I had in mind - to run in on CPU. Sorry.
Best regards! |
Full log from another machine (Intel HD GPU):
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Shameful bump! |
Hi! |
I'm getting
only. Can You provide some example images? |
Unfortunately! I put example file into /home/san/Pobrane/WK/in/ directory and run
Command output is:
So there seem to be somewhere else problem. Best regards! |
Hello @PMKrol, Did you succeded in running the project? |
Could you uncomment the print and see if the inputs are understood/dectected by the program? Line 997 in 9473b3e
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Hi!
Can You provide instructions on how to run this script on non-CUDA GPUs?
I'm pretty sure that it is possible to run some tensionflow computations on CPU but I'm not advanced programmer and do not know SingularityCE at all, that's why I need Your help. Also I'm not sure if this isn't compulsory.
As I understand it states that tensionflow-gpu version 1.4 is forced (1), while tf 2.x is GPU/CPU unified (2).
And there is possibility to run some (?) applications on CPU instead of GPU (3, 4) - is TRG-IP that case?
I'm working on that for friend of mine.
Best regards!
Sources:
(1) https://github.com/Gregor-Mendel-Institute/TRG-ImageProcessing/blob/master/CoreProcessingPipelineScripts/CNN/Mask_RCNN/environment.yml
(2) https://stackoverflow.com/questions/59453965/can-i-install-tensorflow-gpu-without-nvidia-graphic-card
(3) https://stackoverflow.com/questions/40690598/can-keras-with-tensorflow-backend-be-forced-to-use-cpu-or-gpu-at-will
(4) https://stackoverflow.com/questions/70106418/how-can-i-run-tensorflow-without-gpu
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