Segmentation fault(Core Dump)？

[h72001346]

run demo.py
after "loading from /content/ai/hdy_conornet/CornerNet-Lite/core/../cache/nnet/CornerNet_Squeeze/CornerNet_Squeeze_500000.pkl"

[cwjhx]

I meet same problems.

[taosean]

@cwjhx @h72001346

Did you use gcc 4.9.2 or above? I met the same problem when compiling with gcc 4.8.5.
I solved it by compiling with gcc 5.3.1.

Hope this helps.

[cwjhx]

gcc (GCC) 7.2.1 20170915 (Red Hat 7.2.1-2)

[LCWdmlearning]

gcc (GCC) 7.2.1 20170915 (Red Hat 7.2.1-2)

hello ! I meet same problems.Have you solved it? My version of GCC is 5.4.0

[LCWdmlearning]

hello ! I meet same problems.Have you solved it? My version of GCC is 5.4.0

[cwjhx]

I have not solved it .

[cwjhx]

hello ! I meet same problems.Have you solved it? My version of GCC is 5.4.0

I met the same problem when compiling with gcc 7.2.1.
I solved it by compiling with gcc 7.3.0.
Please check the compatibility of the operating system cuda gcc.

[LCWdmlearning]

hello ! I meet same problems.Have you solved it? My version of GCC is 5.4.0

I met the same problem when compiling with gcc 7.2.1.
I solved it by compiling with gcc 7.3.0.
Please check the compatibility of the operating system cuda gcc.

hello，I still can't solve it. My environment is (gcc 7.3.0, CUDA 10.0, Ubuntu 16.04, Driver Version: 410.48). I'm desperate.how can i do.Any suggestions?

[cwjhx]

hello ! I meet same problems.Have you solved it? My version of GCC is 5.4.0

I met the same problem when compiling with gcc 7.2.1.
I solved it by compiling with gcc 7.3.0.
Please check the compatibility of the operating system cuda gcc.

hello，I still can't solve it. My environment is (gcc 7.3.0, CUDA 10.0, Ubuntu 16.04, Driver Version: 410.48). I'm desperate.how can i do.Any suggestions?

https://docs.nvidia.com/cuda/archive/10.0/cuda-installation-guide-linux/index.html
install gcc 5.4.0,try it

[LCWdmlearning]

hello ! I meet same problems.Have you solved it? My version of GCC is 5.4.0

I met the same problem when compiling with gcc 7.2.1.
I solved it by compiling with gcc 7.3.0.
Please check the compatibility of the operating system cuda gcc.

hello，I still can't solve it. My environment is (gcc 7.3.0, CUDA 10.0, Ubuntu 16.04, Driver Version: 410.48). I'm desperate.how can i do.Any suggestions?

https://docs.nvidia.com/cuda/archive/10.0/cuda-installation-guide-linux/index.html
install gcc 5.4.0,try it

nice! i solve it,Thank you very much.

[yyangmei]

hello ! I meet same problems.Have you solved it? My version of GCC is 5.4.0

I met the same problem when compiling with gcc 7.2.1.
I solved it by compiling with gcc 7.3.0.
Please check the compatibility of the operating system cuda gcc.

hello，I still can't solve it. My environment is (gcc 7.3.0, CUDA 10.0, Ubuntu 16.04, Driver Version: 410.48). I'm desperate.how can i do.Any suggestions?

https://docs.nvidia.com/cuda/archive/10.0/cuda-installation-guide-linux/index.html
install gcc 5.4.0,try it

nice! i solve it,Thank you very much.

Hi,how did you install gcc 5.4? My cuda is 9.0, gcc is 4.9.2,pytorch is 1.0.0,will it work if I updata gcc to 5.4?

[LCWdmlearning]

hello ! I meet same problems.Have you solved it? My version of GCC is 5.4.0

I met the same problem when compiling with gcc 7.2.1.
I solved it by compiling with gcc 7.3.0.
Please check the compatibility of the operating system cuda gcc.

hello，I still can't solve it. My environment is (gcc 7.3.0, CUDA 10.0, Ubuntu 16.04, Driver Version: 410.48). I'm desperate.how can i do.Any suggestions?

https://docs.nvidia.com/cuda/archive/10.0/cuda-installation-guide-linux/index.html
install gcc 5.4.0,try it

nice! i solve it,Thank you very much.

Hi,how did you install gcc 5.4? My cuda is 9.0, gcc is 4.9.2,pytorch is 1.0.0,will it work if I updata gcc to 5.4?

You'd better update CUDA to 10.0,and update gcc to 5.4 or Higher version. and try to pull the project again . Finally, follow the tutorial to run the code. Good luck for you.

[hejinsome]

@LCWdmlearning I installed gcc 5.4.0, cuda 10.1, pytorch is 1.0.0, but still appear Segmentation fault. Please give me suggestions. thanks