Traceback (most recent call last):
File "color_syncnet_train.py", line 279, in
nepochs=hparams.nepochs)
File "color_syncnet_train.py", line 162, in train
loss.backward()
File "/home/jiahuaw/anaconda3/envs/wav2lip/lib/python3.7/site-packages/torch/tensor.py", line 221, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph)
File "/home/jiahuaw/anaconda3/envs/wav2lip/lib/python3.7/site-packages/torch/autograd/init.py", line 132, in backward
allow_unreachable=True) # allow_unreachable flag
RuntimeError: CUDA error: device-side assert triggered
/pytorch/aten/src/ATen/native/cuda/Loss.cu:102: operator(): block: [0,0,0], thread: [8,0,0] Assertion input_val >= zero && input_val <= one failed.
i think my dataset have some problem.And i don.t know how to prepare.
i just preprocess it with the orignal wav2lip program
我只用了原版wav2lip 的数据处理,不知道怎么再对数据集处理,有人知道数据集需要的标准是什么吗