Comments (4)
has anyone solved this problem yet?
Original comment by [email protected]
on 17 Apr 2015 at 1:13
from deep-learning-faces.
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.
[deleted comment]
from deep-learning-faces.
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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