Comments (5)
CLC2019
commented on May 25, 2024
1
@1ytic Thanks a lot.The error is solved.
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1ytic
commented on May 25, 2024
Has it worked successfully before? Maybe you changed the gpu card? Try to reinstall the cuda driver.
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CLC2019
commented on May 25, 2024
@1ytic I am really sorry for replying late.It's my first test on my server.During this time,I tested it in other servers without errors.And I also reinstalled the cuda driver with the same error on my sersver,The pytorch version is 1.6.0.The CUDA version is 10.0.The cudatoolkit version is 10.1.Could you give me some advice?Thanks a lot.
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1ytic
commented on May 25, 2024
Try to recompile the warp-rnnt package.
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jiay7
commented on May 25, 2024
@1ytic Thanks a lot.The error is solved.
Hi, I got the same problem. How did you solve it? python=3.8 torch verison=1.10.2 cudatoolkit=10.2.89 CUDA version=10.2
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Related Issues (20)
- WARNING: sample 0 [42, 26] has a forward/backward mismatch -52.543503 / 0.000000 HOT 3
- ImportError: libcudart.so.10.2: cannot open shared object file: No such file or directory HOT 3
- Transducer loss leads to memory leak HOT 4
- warning that forward/backward mismatch HOT 3
- question about the gather arguments HOT 1
- Question about average_frames and reduction parmas HOT 1
- Not support for pytorch 1.7 HOT 1
- ninja: build stopped: subcommand failed. HOT 1
- Normalize the RNN-T Loss with input seq length HOT 1
- PyTorch 1.9 Support HOT 5
- Strange behavior using PyTorch DDP HOT 7
- undefined symbol: _ZNSt19basic_ostringstreamIcSt11char_traitsIcESaIcEEC1Ev HOT 2
- rnnt_loss status 1 HOT 2
- THC/THC.h: No such file or directory HOT 7
- can't install warp-rnnt HOT 2
- Exception: CPU version is not implemented HOT 1
- improve efficiency of warps HOT 4
- ImportError: libcudart.so.10.1: cannot open shared object file: No such file or directory HOT 2
- __version__ assignment breaks local build.
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