Comments (5)
I checked this version pip3 install torch==1.9.0+cu111 -f https://download.pytorch.org/whl/cu111/torch_stable.html
and warp_rnnt
package compiled successfully. I also have the local cuda install with the same version 11.1.
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Same happens here https://github.com/1ytic/warp-rna
Probably I should have created a ticket in this repo https://github.com/1ytic/warp-rnnt
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I tried these hacks, the error changed, it started complaining that
which g++
exits with error, manually it produces empty output
No CUDA 11 errors though, but maybe these are related
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@1ytic
Am I doing something wrong?
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I see. I tried using these images from scratch:
docker pull pytorch/pytorch:1.10.0-cuda11.3-cudnn8-devel
docker pull pytorch/pytorch:1.9.0-cuda11.1-cudnn8-devel
And it compiled successfully.
Looks like the problem is with our images, we most likely borked something up inside of them.
Many thanks.
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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
- 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 2
- 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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