Training on wenetspeech dataset

[codeking233]

File "/home/twlan/anaconda3/envs/valle/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl return forward_call(*args, **kwargs) File "/home/twlan/anaconda3/envs/valle/lib/python3.8/site-packages/encodec/modules/seanet.py", line 63, in forward return self.shortcut(x) + self.block(x) File "/home/twlan/anaconda3/envs/valle/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "/home/twlan/anaconda3/envs/valle/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl return forward_call(*args, **kwargs) File "/home/twlan/anaconda3/envs/valle/lib/python3.8/site-packages/encodec/modules/conv.py", line 204, in forward x = pad1d(x, (padding_total, extra_padding), mode=self.pad_mode) File "/home/twlan/anaconda3/envs/valle/lib/python3.8/site-packages/encodec/modules/conv.py", line 92, in pad1d padded = F.pad(x, paddings, mode, value) File "/home/twlan/anaconda3/envs/valle/lib/python3.8/site-packages/torch/nn/functional.py", line 4495, in pad return torch._C._nn.pad(input, pad, mode, value) RuntimeError: input tensor must fit into 32-bit index math

how can i solve this problem?