model checker core dump

[CoinCheung]

I tried this code:

import torch
import torchvision

import onnx

model = torchvision.models.resnet18()
dummy_input = torch.randn(1, 3, 300, 300)
torch.onnx.export(model, dummy_input, './play.onnx', opset_version=11)

model = onnx.load('./play.onnx')
onnx.checker.check_model(model)

My onnx version is 1.6 installed with python -m pip install onnx, and my pytorch version is 1.3 installed with conda install -c pytorch pytorch.

Please tell me why there is core dump here, and how could I make it work?

[Qero]

there has any advise? I met the same issue... but I just follow the tutorials
https://pytorch.org/tutorials/advanced/super_resolution_with_onnxruntime.html

[CoinCheung]

I did not look closer at the cause of this error, but I solved it by importing onnx before importing torch:

import onnx
import torch

[stale]

Is this still relevant? If so, what is blocking it? Is there anything you can do to help move it forward?

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs.