spkgyk / tdfnet Goto Github PK
View Code? Open in Web Editor NEWOfficial code release for "TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down Fusion", accepted ICIST 2023
License: MIT License
Official code release for "TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down Fusion", accepted ICIST 2023
License: MIT License
Hi, when I run the training codes from RTFS-Net, the error shows:
UserWarning: Just-in-time loading and compiling the CUDA kernels of SRU was unsuccessful. Got the following error:
Error building extension 'sru_cuda': [1/3] C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0\bin\nvcc --generate-dependencies-with-compile --dependency-output sru_cuda_kernel.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=sru_cuda -DTORCH_API_INCLUDE_EXTENSION_H -ID:\ProgramData\miniforge3\envs\TDFNet\Lib\site-packages\torch\include -ID:\ProgramData\miniforge3\envs\TDFNet\Lib\site-packages\torch\include\torch\csrc\api\include -ID:\ProgramData\miniforge3\envs\TDFNet\Lib\site-packages\torch\include\TH -ID:\ProgramData\miniforge3\envs\TDFNet\Lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0\include" -ID:\ProgramData\miniforge3\envs\TDFNet\Include -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -c D:\ProgramData\miniforge3\envs\TDFNet\Lib\site-packages\sru\csrc\sru_cuda_kernel.cu -o sru_cuda_kernel.cuda.o
FAILED: sru_cuda_kernel.cuda.o
Do you know why this happens? I searched on Internet and someone says it's because cuda version lower than 10.2 doesn't have --generate-dependencies-with-compile argument, but my cuda version is 11.0.
Thank you for the excellent work. I don't see any training codes by now. Do you have any plan to release them?
I try to run test.py. But when the code runs to self.metrics(mix=mix[idx], clean=sources[idx], estimate=est_sources[idx], key=key[idx])
in def on_test_epoch_end.metrics()
, the program will finish and say Process finished with exit code -1073741571 (0xC00000FD)
, just like the following. Do you know how to fix it?
Testing DataLoader 0: 100%|��������������������| 375/375 [01:16<00:00, 4.91it/s]
0%| | 0/3000 [00:00<?, ?it/s]
Process finished with exit code -1073741571 (0xC00000FD)
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