warp-ctc icon indicating copy to clipboard operation
warp-ctc copied to clipboard

Pytorch Bindings for warp-ctc

Results 102 warp-ctc issues
Sort by recently updated
recently updated
newest added

![image](https://user-images.githubusercontent.com/23006154/58962580-208b4b80-87de-11e9-923e-fe4df3c9b8e7.png)

Torch was not built with CUDA support, not building warp-ctc GPU extensions. running install running bdist_egg running egg_info creating warpctc_pytorch.egg-info writing warpctc_pytorch.egg-info/PKG-INFO writing dependency_links to warpctc_pytorch.egg-info/dependency_links.txt writing top-level names to...

generating build/warpctc_pytorch/_warp_ctc/__warp_ctc.c (already up-to-date) not modified: 'build/warpctc_pytorch/_warp_ctc/__warp_ctc.c' running install running bdist_egg running egg_info writing warpctc_pytorch.egg-info/PKG-INFO writing top-level names to warpctc_pytorch.egg-info/top_level.txt writing dependency_links to warpctc_pytorch.egg-info/dependency_links.txt reading manifest file 'warpctc_pytorch.egg-info/SOURCES.txt' writing manifest...

Hi I met the cuda out of memory using ctc as loss pytorch=0.4.1 python=3.6, and I got 8 gtx titanx Like mentioned in #118 and just the same as #76...

I am getting zero loss in calculating the CTCLoss, I don't know if it is supposed to happen. logits, labels, input_length, labels_length could be found in https://github.com/ShangwuYao/support-issues/tree/master/warpctc

cmake成功!但是使用vs2017进行构建发生了错误。我想知道该如何解决这个问题。如能指出将非常感谢。torch1.1.0 py3.5 VS2017 display: 1>------ 已启动生成: 项目: ZERO_CHECK, 配置: Debug Win32 ------ 1>Checking Build System 1>CMake does not need to re-run because D:/Python_code/crnn.pytorch/warp-ctc-pytorch_bindings/build/CMakeFiles/generate.stamp is up-to-date. 2>------ 已启动生成: 项目: warpctc, 配置:...

请问你是怎样解决你题目中的这个问题的?@Adhders 我是gcc7.3,cuda10.1,pytorch版本1.1.0a0+7e73783,make的时候报跟你一样的错 _Originally posted by @berylyellow in https://github.com/SeanNaren/warp-ctc/issues/116#issuecomment-486504009_ cuda版本兼容问题,具体请移步nvidia 官网查看详细信息,总之出处就在上面,请根据cuda版本自行解决。

same error, delete is not work. _Originally posted by @qmpzzpmq in https://github.com/SeanNaren/warp-ctc/issues/116#issuecomment-486520118_ you should check up your cuda version,this problem cause cuda version compatbility

ubuntu18.04,python3,gcc7.3,cuda10.1,pytorch1.1.0a0+7e73783 How to solve it?

after run cmake, i got following information: -- The C compiler identification is GNU 5.5.0 -- The CXX compiler identification is GNU 5.5.0 -- Check for working C compiler: /usr/bin/cc...