Hello,
trying to test libtorch with Qt following this useful answer from PyTorch forum 3, but when it comes to forward I’m catching the following exception:

forward() Expected a value of type 'Tuple[Tensor, Tensor]' for argument 'inputs' but instead found type 'Tensor'.
Position: 1
Declaration: forward(__torch__.detectron2.export.caffe2_modeling.Caffe2RetinaNet self, (Tensor, Tensor) inputs) -> ((Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor))


The loaded model is a detectron2 exported via caffe_tracer.export_torchscript().

Caffe2Tracer input was just an image of torch.Size([3, 128, 80])

The input tensor used to forward the network has shape [3, 128, 80], matching the tensor using to export the model.
The input is then unqueezed to shape [1, 3, 128, 80]


My question:
How can I make a proper input tensor (Tuple[Tensor, Tensor]) from my image?
Thanks.