Comments (5)
xcmyz
commented on July 18, 2024
You may need more GPUs or lower the value of batch_size.
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bushaev
commented on July 18, 2024
How do you set up a multi-gpu training ?
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xcmyz
commented on July 18, 2024
CUDA_VISIBLE_DEVICES=0,1,2,3 python train_accelerated.py
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zhangyizhong17
commented on July 18, 2024
the same error occurred to me once. However after that, I used a wrong environment by mistake (torch0.4.1 and CUDA9.0), it worked!!!! which is weird...
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756890911
commented on July 18, 2024
我通过降低batch_size运行起了程序，但是需要降到4才能跑起来，应该是因为电脑配置不够，最好还是连服务器跑程序吧
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Related Issues (20)
- Is this still maintained?
- training stops in few seconds and no checkpoint file created HOT 3
- error in new commit HOT 9
- How to get alignment? HOT 8
- Preprocess.py got stuck: Tried to debug
- Have anyone tried using LSTM to replace FFT block?
- What is the difference between postnet and CBHG? HOT 3
- 请问训练多久得到的pretrain model呢？然后，请问使用了多少GPU呢？ HOT 1
- Resume training from checkpoint result in NaN? HOT 1
- How to extract alignment from tacotron2? HOT 6
- long int 转换成float erro
- denoiser HOT 1
- some question about squeezewave denoiser
- onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Load model from fastwave.onnx failed:Type Error: Type parameter (T) bound to different types (tensor(double) and tensor(float) in node ().
- Expected object of backend CUDA but got backend CPU for argument #3 'index' HOT 1
- duration loss calulated in log domain or linear domain
- wav in chinese HOT 1
- Error when training new model for another language
- BUG:OSError: sndfile library not found HOT 1
- RuntimeError: stack expects each tensor to be equal size, but got [40, 240] at entry 0 and [78, 202] at entry 1
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