import order cause core dump about onnx-simplifier HOT 4 CLOSED

pytorch1.3.0, onnx1.6.0, onnxsim0.2.0 a simple test case import torch import onnx # type: ignore import onnxsim def main(): class TestNet(torch.nn.Module): def __init__(self): super(TestNet, self).__init__() self.conv = torch.nn.Conv1d(2, 3, kernel_size=(1,)) return def forward(self, x): res = self.conv(x) return res net = TestNet() it = torch.randn(1, 2, 3) torch.onnx.export(net, it, "test_sim.onnx", export_params=True, verbose=True, input_names=["data"]) model_opt = onnxsim.simplify( "test_sim.onnx" ) print("export done") onnx.save(model_opt, "test_sim_simple.onnx") print("Ok!") if __name__ == '__main__': main() outputs graph(%data : Float(1, 2, 3), %conv.weight : Float(3, 2, 1), %conv.bias : Float(3)): %3 : Float(1, 3, 3) = onnx::Conv[dilations=[1], group=1, kernel_shape=[1], pads=[0, 0], strides=[1]](%data, %conv.weight, %conv.bias), scope: TestNet/Conv1d[conv] # /usr/local/lib/python3.5/dist-packages/torch/nn/modules/conv.py:202:0 return (%3) Segmentation fault (core dumped) but it works after i import torch after onnx import torch import onnx # type: ignore import onnxsim change to import onnx # type: ignore # import torch after onnx import torch import onnxsim — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#32?email_source=notifications&email_token=ACYRZH6LESJ3V6ESM5772GLQT5UNXA5CNFSM4JODIVC2YY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4HZYKMRA>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ACYRZHZ7KPJXVFHT3HLFRT3QT5UNXANCNFSM4JODIVCQ> .