espnet-semi-supervised
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no CUDA-capable
Hi, I'm reading your the paper. I want to reproduce the experimental results with the code you provided. but there has been a problem of 'RuntimeError: cuda runtime error (38) : no CUDA-capable device is detected at /pytorch/aten/src/THC/THCGeneral.cpp:74' in running 'asr_train_loop_th.py', regardless of batch size of 30, 8, 2.
I don't know what's wrong.
errors log:
2019-01-14 15:07:28,360 (asr_train_loop_th:285) INFO: gpu id: 1
THCudaCheck FAIL file=/pytorch/aten/src/THC/THCGeneral.cpp line=74 error=38 : no CUDA-capable device is detected
Traceback (most recent call last):
File "scripts/wsj/asr_train_loop_th.py", line 288, in
Thank you for report. Which pytorch version are you using? Please consider using 0.3.1.
I have no plan to upgrade pytorch in this repository. Instead, I will upload new code using newer pytorch for my ICASSP2019 paper "SEMI-SUPERVISED END-TO-END SPEECH RECOGNITION USING TEXT-TO-SPEECH AND AUTOENCODERS".
Thank you very much for your information. May I ask whether you have solved the above problems? Is pyTorch version 0.3.1? Warp_ctc requires a minimum of 0.4 for the PyTorch version. I want to run an error now. What should I do? Hope to get your help