尝试使用aishell3的onnx转换脚本，报错如下：
warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
Traceback (most recent call last):
File "/media/nvme500/work/sda/models/pytorch/vits_chinese/export_onnx_aishell3.py", line 147, in
main()
File "/home/lzb/.local/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/media/nvme500/work/sda/models/pytorch/vits_chinese/export_onnxaishell3.py", line 85, in main
= utils.load_checkpoint(checkpoint, net_g, None)
File "/media/nvme500/work/sda/models/pytorch/vits_chinese/utils.py", line 40, in load_checkpoint
model.load_state_dict(new_state_dict)
File "/home/lzb/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 2152, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for SynthesizerTrn:
size mismatch for enc_p.emb.weight: copying a param with shape torch.Size([50, 192]) from checkpoint, the shape in current model is torch.Size([219, 192]).
有没有大佬指点一下，该如何转换？
11Boss
commented
7 months ago
尝试使用aishell3的onnx转换脚本，报错如下： warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.") Traceback (most recent call last): File "/media/nvme500/work/sda/models/pytorch/vits_chinese/export_onnx_aishell3.py", line 147, in
main()
File "/home/lzb/.local/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/media/nvme500/work/sda/models/pytorch/vits_chinese/export_onnxaishell3.py", line 85, in main
= utils.load_checkpoint(checkpoint, net_g, None)
File "/media/nvme500/work/sda/models/pytorch/vits_chinese/utils.py", line 40, in load_checkpoint
model.load_state_dict(new_state_dict)
File "/home/lzb/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 2152, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for SynthesizerTrn:
size mismatch for enc_p.emb.weight: copying a param with shape torch.Size([50, 192]) from checkpoint, the shape in current model is torch.Size([219, 192]).
有没有大佬指点一下，该如何转换？