BrianWayland

@Uehwan Thank you for sharing your implementation kindly. When learning your code I find two problems: - in train.py, the dataset is didn't looped through and just used the first...

Problem about performance

3

As is shown in the result, the performance of trained model is very unsatisfying. Actually, after 100 epochs valid loss and train loss is so close, simply improving number of...

Problems about training with multiprocess

1

@jaywalnut310 My platform is RTX 3060 with pytorch 1.10.0+cu113. I found the following exception triggered when executing train_ms.py: ``` THCudaCheck FAIL file=../aten/src/THC/THCCachingHostAllocator.cpp line=280 error=710 : device-side assert triggered terminate called...

您好，我训练时使用chinese_cleaners2来处理中文文本，然后在训练时输出了以下的异常信息： ``` Traceback (most recent call last): File "/home/featurize/data/vits-main/train_ms.py", line 119, in run train_and_evaluate(rank, epoch, hps, [net_g, net_d], [optim_g, optim_d], [scheduler_g, scheduler_d], scaler, [train_loader, eval_loader], logger, [writer, writer_eval]) File "/home/featurize/data/vits-main/train_ms.py",...