new 3d triplet layer still have Forward_gpu error

[junteudjio]

Hello Guys !

I'm trying to use the new triplet layer in GPU mode but i still get this error, while everything work fine in CPU mode.

*** Aborted at 1440745808 (unix time) try "date -d @1440745808" if you are using GNU date ***
PC: @ 0x7f13f4c8daec (unknown)
*** SIGSEGV (@0x1304722600) received by PID 9973 (TID 0x7f13fcf7ba40) from PID 74589696; stack trace: ***
@ 0x7f13fbb52d40 (unknown)
@ 0x7f13f4c8daec (unknown)
@ 0x7f13fca822d7 caffe::caffe_gpu_dot<>()
@ 0x7f13fca56cc2 caffe::TripletLossLayer<>::Forward_gpu()
@ 0x7f13fc936817 caffe::Net<>::ForwardFromTo()
@ 0x7f13fc936c87 caffe::Net<>::ForwardPrefilled()
@ 0x7f13fca0cce5 caffe::Solver<>::Step()
@ 0x7f13fca0d60f caffe::Solver<>::Solve()
@ 0x408716 train()
@ 0x406bc1 main
@ 0x7f13fbb3dec5 (unknown)
@ 0x40716d (unknown)
@ 0x0 (unknown)
Segmentation fault (core dumped)

please could someone helps me figure out how to manage with this error ?
Tanks in advance.

[bhack]

/cc @wangyida

[seanbell]

From https://github.com/BVLC/caffe/blob/master/CONTRIBUTING.md:

When reporting a bug, it's most helpful to provide the following information, where applicable:

• What steps reproduce the bug?
• Can you reproduce the bug using the latest master, compiled with the DEBUG make option?
• What hardware and operating system/distribution are you running?
• If the bug is a crash, provide the backtrace (usually printed by Caffe; always obtainable with gdb).

Also, you're reporting a bug on an unmerged PR (#2603). Perhaps you should direct the discussion over there, since this isn't an issue with caffe master.

[bhack]

@seanbell I've already told him at #2982 (comment)

[wangyida]

OK, This might be caused by the unproper using of gpu_dot function. I will have a look in the GPU codes tomorrow, as triplet componants changes, the GPU codes is changed with the same logical of new CPU codes, but might have CUDA computation bugs. @obrianjunior @bhack

[junteudjio]

Ok well noticed @seanbell , @bhack ! i'm a little bit new to github :) .
@seanbell the layer i'm using is not implemented on the master branch, but rather on @wangyida's branch.

[longjon]

Closing as this is not an issue on BVLC/caffe.