Error after reinstall OS.

[NicTanghe]

ERROR: ViTMatte1.Inference1: Exception caught processing model: The following operation failed in the TorchScript interpreter.
Traceback of TorchScript, serialized code (most recent call last):
File .../torch.py, line 13, in forward
image_and_trimap = {"image": image, "trimap": trimap}
model = self.model
_0 = ((model).forward(image_and_trimap, ))["phas"]
~~~~~~~~~~~~~~ <--- HERE
return torch.contiguous(_0)
File .../vitmatte.py, line 21, in forward
images, H, W, = _0
backbone = self.backbone
features = (backbone).forward(images, )
~~~~~~~~~~~~~~~~~ <--- HERE
decoder = self.decoder
outputs = (decoder).forward(features, images, )
File .../vit.py, line 21, in forward
_0 = torch.modeling.backbone.utils.get_abs_pos
patch_embed = self.patch_embed
x0 = (patch_embed).forward(x, )
~~~~~~~~~~~~~~~~~~~~ <--- HERE
pos_embed = self.pos_embed
pretrain_use_cls_token = self.pretrain_use_cls_token
File .../utils.py, line 10, in forward
x: Tensor) -> Tensor:
proj = self.proj
x0 = (proj).forward(x, )
~~~~~~~~~~~~~ <--- HERE
return torch.permute(x0, [0, 2, 3, 1])
def get_abs_pos(abs_pos: Tensor,
File .../conv.py, line 23, in forward
weight = self.weight
bias = self.bias
_0 = (self)._conv_forward(input, weight, bias, )
~~~~~~~~~~~~~~~~~~~ <--- HERE
return _0
def _conv_forward(self: torch.torch.nn.modules.conv.Conv2d,
File .../conv.py, line 29, in _conv_forward
weight: Tensor,
bias: Optional[Tensor]) -> Tensor:
_1 = torch.conv2d(input, weight, bias, [16, 16], [0, 0], [1, 1])
~~~~~~~~~~~~ <--- HERE
return _1

Traceback of TorchScript, original code (most recent call last):
File "nuke_vitmatte.py", line 72, in forward
}

    return self.model(image_and_trimap)["phas"].contiguous()
           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE

File .../vitmatte.py, line 42, in forward
images, H, W = self.preprocess_inputs(batched_inputs)

[BoBosan90]

I have the same issue on my nuke indie 15.1v1.