make error

[Luna-yu]

(yu_tf_py) root@localhost:/home/yu/yu_ex/warp-ctc/build# make -- cuda found TRUE -- Building shared library with GPU support -- Configuring done -- Generating done -- Build files have been written to: /home/yu/yu_ex/warp-ctc/build [ 11%] Building NVCC (Device) object CMakeFiles/warpctc.dir/src/warpctc_generated_reduce.cu.o nvcc fatal : Unsupported gpu architecture 'compute_30' CMake Error at warpctc_generated_reduce.cu.o.cmake:219 (message): Error generating /home/yu/yu_ex/warp-ctc/build/CMakeFiles/warpctc.dir/src/./warpctc_generated_reduce.cu.o

CMakeFiles/warpctc.dir/build.make:70: recipe for target 'CMakeFiles/warpctc.dir/src/warpctc_generated_reduce.cu.o' failed make[2]: [CMakeFiles/warpctc.dir/src/warpctc_generated_reduce.cu.o] Error 1 CMakeFiles/Makefile2:104: recipe for target 'CMakeFiles/warpctc.dir/all' failed make[1]: [CMakeFiles/warpctc.dir/all] Error 2 Makefile:129: recipe for target 'all' failed make: *** [all] Error 2

[Chudbrochil]

+1 Also experiencing this.

Edit: I resolved my issue by commenting out the old nvcc flags in CMakeLists.txt. Specifically, lines 35-38

[liangxin123456]

Thank you very much, I solved the problem through this method

[dzubke]

Thanks, @Chudbrochil. This worked for me as well trying to setup warp_ctc using cuda 11.2.

@Luna-yu: if @Chudbrochil solution worked for you, want to close the issue?

[Luna-yu]

(yu_tf_py) root@gao-PowerEdge-T640:~/yu_ex/warp-ctc3333/pytorch_binding# python setup.py install Traceback (most recent call last): File "setup.py", line 6, in from torch.utils.cpp_extension import BuildExtension, CppExtension ModuleNotFoundError: No module named 'torch.utils' (yu_tf_py) root@gao-PowerEdge-T640:~/yu_ex/warp-ctc3333/pytorch_binding# pip install torch.utils Requirement already satisfied: torch.utils in /root/ana3/envs/yu_tf_py/lib/python3.6/site-packages (0.1.2) Requirement already satisfied: torch in /root/ana3/envs/yu_tf_py/lib/python3.6/site-packages (from torch.utils) (1.7.1+cu110) Requirement already satisfied: numpy in /root/ana3/envs/yu_tf_py/lib/python3.6/site-packages (from torch->torch.utils) (1.19.2) Requirement already satisfied: dataclasses in /root/ana3/envs/yu_tf_py/lib/python3.6/site-packages (from torch->torch.utils) (0.8) Requirement already satisfied: typing-extensions in /root/ana3/envs/yu_tf_py/lib/python3.6/site-packages (from torch->torch.utils) (3.7.4.3) I encountered such a problem when running install. Would you like to ask me if you have encountered any? cuda11.1 torch 1.7.1

[dzubke]

This seems like a separate issue. We can continue discussing it on this thread, but you may want to close the issue as it seems like you have successfully run the make command.

Have you tried uninstalling and re-installing pytorch?

What OS are you running? If you're running linux, you can run this command to double check what Cuda version you have installed: /usr/local/cuda/bin/nvcc --version

[Luna-yu]

This seems like a separate issue. We can continue discussing it on this thread, but you may want to close the issue as it seems like you have successfully run the make command.

Have you tried uninstalling and re-installing pytorch?

What OS are you running? If you're running linux, you can run this command to double check what Cuda version you have installed: /usr/local/cuda/bin/nvcc --version

thank you！

[kouohhashi]

+1 Also experiencing this.

Edit: I resolved my issue by commenting out the old nvcc flags in CMakeLists.txt. Specifically, lines 35-38

Thank you so much! I have switched to nn.CTCLoss because I could not install warp-ctc but after switching to nn.CTCLoss my accuracy was decreasing...

[kongto-yu]

+1 Also experiencing this. Edit: I resolved my issue by commenting out the old nvcc flags in CMakeLists.txt. Specifically, lines 35-38

Thank you so much! I have switched to nn.CTCLoss because I could not install warp-ctc but after switching to nn.CTCLoss my accuracy was decreasing...

Lastest version of Pytorch includes CTC in its module, but there are still many project using the early version. :(