Comments (7)
The same error here.
Do you have any plans to update the repository?
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Hey, thank you for your feedbacks. Could you try a new version pip install warp-rnnt==0.6.0
? Should be solved now.
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@1ytic
Thanks for the update. I get the following error:
139 | #error -- unsupported GNU version! gcc versions later than 10 are not supported! The nvcc flag '-allow-unsupported-compiler' can be used to override this version check; however, using an unsupported host compiler may cause compilation failure or incorrect run time execution. Use at your own risk.
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Please share your environment details: OS, Python version, PyTorch version, CUDA/cuDNN version, GCC version. Could you try another version of gcc?
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OS: Ubuntu 22.04
python version: 3.9.12
cuda version: NVIDIA-SMI 510.85.02 Driver Version: 510.85.02 CUDA Version: 11.6
cudatoolkit: 11.3.1 -> installed by conda
cudnn: cudnn-linux-x86_64-8.3.3.40_cuda11.5
cudnn: py3.9_cuda11.3_cudnn8.2.0_0 installed by conda along with pytorch
gcc: gcc (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
pytorch: 1.11.0 -> installed by conda
Unfortunately, I cannot install another version of gcc
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Installation works on my end! Thank you for fixing this :) Leaving as open pending resolution for @pooya-mohammadi, but feel free to close afterwards!
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@cchan-lm
would you mind reporting your environments details?
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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
- RuntimeError: rnnt_loss status 1 HOT 5
- 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
- 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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