Comments (3)
nshmyrev
commented on August 18, 2024
3
It is actually easy to export, see the patch here:
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FENRlR
commented on August 18, 2024
1
pytorch/pytorch#81075
It looks like we need more time for this.
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w11wo
commented on August 18, 2024
I've attempted to apply the same exporting script to MB-iSTFT-VITS2, but I'm running into some trouble during the export. I think it's related to complex numbers being only partially supported by torch.onnx, or something along those lines.
Here's the error log in case anyone's interested:
Traceback (most recent call last):
File "/content/MB-iSTFT-VITS2/export_onnx.py", line 110, in <module>
main()
File "/content/MB-iSTFT-VITS2/export_onnx.py", line 91, in main
torch.onnx.export(
File "/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py", line 506, in export
_export(
File "/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py", line 1548, in _export
graph, params_dict, torch_out = _model_to_graph(
File "/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py", line 1117, in _model_to_graph
graph = _optimize_graph(
File "/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py", line 658, in _optimize_graph
_C._jit_pass_erase_number_types(graph)
RuntimeError: Unknown number type: complex
To reproduce, I've prepared a Colab notebook here. It uses the models from here.
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