import torch


class Model(torch.nn.Module):
    def __init__(self):
        super().__init__()

    def forward(self, x):
        return torch.asinh(x)


from torch.onnx.symbolic_registry import register_op


def asinh_symbolic(g, input, *, out=None):
    return g.op("Asinh", input)


register_op('asinh', asinh_symbolic, '', 10)

model = Model()
input = torch.rand(1, 3, 640, 640)
torch.onnx.export(model, input, 'asinh.onnx')

当运行如上代码，添加op算子后，把模型保存为onnx格式时，报错：

torch.onnx.symbolic_registry.UnsupportedOperatorError: Exporting the operator ::asinh to ONNX opset version 13 is not supported. Please feel free to request support or submit a pull request on PyTorch GitHub.

解决办法：

register_op('asinh', asinh_symbolic, '', 10)

最后一个参数是opset版本，当设置为10时，需要在导出模型时设置相同的opset，即

torch.onnx.export(model, input, 'asinh.onnx', opset_version=10)