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GoogleCodeExporter avatar GoogleCodeExporter commented on July 18, 2024
has anyone solved this problem yet?

Original comment by [email protected] on 17 Apr 2015 at 1:13

from deep-learning-faces.

GoogleCodeExporter avatar GoogleCodeExporter commented on July 18, 2024
I also have the same problem. Anyone solved?

In addition, I have read the context code about this issue.The trns_low and 
trns_high are loaded by GPU. Both the two parameters are from  the 3rd layer 
named 'convxyrs'.

The neural net's configuration is from the file 'net_config_basic42.m'. Keeping 
default setup, trns_low is 'single([21 21 -pi/4 0.8])', and trns_high is 
'single([27 27 pi/4 1.2])'. 

And then in the file 'cu_jitters.h',line 168 and  line 169, the trns_low and 
trns_high are compared one element by one element. If each element of trns_high 
is equal or greater than  the corresponding element in trns_low, it will be OK.
OBviously, this condition is met. BUT, this error is always on . I have no idea 
now.

Original comment by [email protected] on 8 Jul 2015 at 3:15

from deep-learning-faces.

GoogleCodeExporter avatar GoogleCodeExporter commented on July 18, 2024
[deleted comment]

from deep-learning-faces.

GoogleCodeExporter avatar GoogleCodeExporter commented on July 18, 2024
I JUST COMMENT LINE 168 IN ./CUDA_UT/MODULES/CONV/CU_JITTERS.H
THEN, IT WORKS OK.

//clASSERT(Sum2DInplace(transform_range) == 4, "trns_high not always >= 
trns_low");

Original comment by [email protected] on 10 Aug 2015 at 5:05

from deep-learning-faces.

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