In this page,TRANSFERING A MODEL FROM PYTORCH TO CAFFE2 AND MOBILE USING ONNX, the output is different.
# Verify the numerical correctness upto 3 decimal places
np.testing.assert_almost_equal(torch_out.data.cpu().numpy(), c2_out, decimal=3)

print("Exported model has been executed on Caffe2 backend, and the result looks good!")

I just copy the code, and the output is :
(mismatch 99.88728564342404%)
 x: array([ 0.24 ,  0.332,  0.502, ...,  0.025, -0.106, -0.055], dtype=float32)
 y: array([ 0.24 ,  0.665,  1.075, ...,  0.087,  0.369, -0.055], dtype=float32)