Hi everybody,
I’m trying to export the faster cnn model into onnx in order to use it with opencv, and get the following error :
/lib/python3.6/site-packages/torchvision/ops/poolers.py:101: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
  scale = 2 ** torch.tensor(approx_scale).log2().round().item()
(....)
RuntimeError: log2_vml_cpu not implemented for 'Long'

However it works fine when I try it with an image classification model, here is my code:
import sys as s
import torch.onnx
import torchvision.models
 
model = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True)
dummy_input = torch.randn(1, 3, 800, 800)
nom = s.argv[1] + ".onnx"
torch.onnx.export(model, dummy_input, nom)

I also tried it with a segmentation model and got the exact same error, so what am I missing ?
thanks to those who will answer me