Convert model to TorchScript

[yingh16]

Hello. I try to convert the model to TorchScript. However, when I run:

import torch model = torch.hub.load('facebookresearch/detr', 'detr_resnet50', pretrained=True) model = torch.jit.script(model)

I got the issue shown below

RuntimeError: Return value was annotated as having type torch.util.misc._torch_mangle_916.NestedTensor (of Python compilation unit at: 0000022C7BC38970) but is actually of type torch__.util.misc.NestedTensor (of Python compilation unit at: 0000022C7BC38970): File "C:\Users\xx/.cache\torch\hub\facebookresearch_detr_main\util\misc.py", line 298 else: cast_mask = None return NestedTensor(cast_tensor, cast_mask)

'NestedTensor.to' is being compiled since it was called from '__torch__.util.misc.NestedTensor'
  File "C:\Users\xx/.cache\torch\hub\facebookresearch_detr_main\models\backbone.py", line 72
    def forward(self, tensor_list: NestedTensor):
                                   ~~~~~~~~~~~~ <--- HERE
        xs = self.body(tensor_list.tensors)
        # out = OrderedDict()
'__torch__.util.misc.NestedTensor' is being compiled since it was called from 'Backbone.forward'
  File "C:\Users\xx/.cache\torch\hub\facebookresearch_detr_main\models\backbone.py", line 72
    def forward(self, tensor_list: NestedTensor):

    xs = self.body(tensor_list.tensors)
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    # out = OrderedDict()
    ~~~~~~~~~~~~~~~~~~~~~
    out: Dict[str, NestedTensor] = {}
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    for name, x in xs.items():
    ~~~~~~~~~~~~~~~~~~~~~~~~~~
        m = tensor_list.mask
        ~~~~~~~~~~~~~~~~~~~~
        assert m is not None
        ~~~~~~~~~~~~~~~~~~~~
        mask = F.interpolate(m[None].float(), size=x.shape[-2:]).to(torch.bool)[0]
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        out[name] = NestedTensor(x, mask)
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    return out
    ~~~~~~~~~~ <--- HERE 

I am not sure what I should do. Any suggestions? Thanks in advance!