segmentation fault

[xxKernel]

the config：
pytorch=1.3.0
torchvision=0.4.1
cuda=10.0
cudatoolkit=10.0

the GPUs are tesla V100-sxm2-16gb

After I modified the make.sh‘s gpu-arch and made it，when running the demo_eval.py，it comes
the fault：
segmentation fault

(gdb) f 4
#4 push_back (__x=<unknown type in /home/seclogin/anaconda3/envs/gc_torch1py35/lib/python3.5/site-packages/roi_align_api-0.0.0-py3.5-linux-x86_64.egg/roi_align_api.cpython-35m-x86_64-linux-gnu.so, CU 0x0, DIE 0x12a6de>, this=0x558a385893c8)
at /usr/include/c++/4.8.2/bits/stl_vector.h:920
920 { emplace_back(std::move(__x)); }
(gdb) f 59
#59 0x0000558a35c25571 in main ()

could someone tell me how to use the project rightly？

[xxKernel]

@lld533 ask for help！！
I cannot use the demo_eval.py to make some test

[lld533]

@lld533 ask for help！！
I cannot use the demo_eval.py to make some test
Thanks for your question.
There are a few things that I'm not sure.
1/ It seems that you are using early c++ version. In fact, I use version 5.
2/ You are using pytorch 1.3, but I only test my code with 1.0/1.1/1.2 (no test under PyTorch 1.3 or later).
3/ Sorry, we have no sxm2 version GPU card or Tesla V100 (16G/32G, pcie version or sxm2 version). I think the closest GPU we have is Quadro GV100. Of course, this should not be the problem.

At the time being, please
1/ upgrade your compiler, e.g. gcc-5.4 or other 5.x version
2/ downgrade pytorch version to 1.2, and
3/ re-compile the code.

Let me know if it still fails to work.

[xxKernel]

@lld533 ask for help！！
I cannot use the demo_eval.py to make some test
Thanks for your question.
There are a few things that I'm not sure.
1/ It seems that you are using early c++ version. In fact, I use version 5.
2/ You are using pytorch 1.3, but I only test my code with 1.0/1.1/1.2 (no test under PyTorch 1.3 or later).
3/ Sorry, we have no sxm2 version GPU card or Tesla V100 (16G/32G, pcie version or sxm2 version). I think the closest GPU we have is Quadro GV100. Of course, this should not be the problem.

At the time being, please
1/ upgrade your compiler, e.g. gcc-5.4 or other 5.x version
2/ downgrade pytorch version to 1.2, and
3/ re-compile the code.

Let me know if it still fails to work.

After I make some try with your advice, it still doesn't work!!

[lld533]

@lld533 ask for help！！
I cannot use the demo_eval.py to make some test
Thanks for your question.
There are a few things that I'm not sure.
1/ It seems that you are using early c++ version. In fact, I use version 5.
2/ You are using pytorch 1.3, but I only test my code with 1.0/1.1/1.2 (no test under PyTorch 1.3 or later).
3/ Sorry, we have no sxm2 version GPU card or Tesla V100 (16G/32G, pcie version or sxm2 version). I think the closest GPU we have is Quadro GV100. Of course, this should not be the problem.

At the time being, please
1/ upgrade your compiler, e.g. gcc-5.4 or other 5.x version
2/ downgrade pytorch version to 1.2, and
3/ re-compile the code.
Let me know if it still fails to work.

After I make some try with your advice, it still doesn't work!!

Hello, could you please double check if images are loaded correctly and make sure the image is not None? I came across similar problem when the test images were not properly loaded. I'll go through my code soon. Thanks.

[xxKernel]

Hello, could you please double check if images are loaded correctly and make sure the image is not None? I came across similar problem when the test images were not properly loaded. I'll go through my code soon. Thanks.

Look at the upper snip-image, data loader looks like no problem, but when net infers the data, segmentation fault comes across again.