Temporarily fix https://github.com/microsoft/onnx-converters-private/…

…issues/143

src/transformers/models/swinv2/modeling_swinv2.py

@@ -352,7 +352,7 @@ def forward(self, pixel_values: Optional[torch.FloatTensor]) -> Tuple[torch.Tens
         pixel_values = self.maybe_pad(pixel_values, height, width)
         embeddings = self.projection(pixel_values)
         _, _, height, width = embeddings.shape
-        output_dimensions = (height, width)
+        output_dimensions = (height.item() if torch.is_tensor(height) else height, width.item() if torch.is_tensor(width) else width)
         embeddings = embeddings.flatten(2).transpose(1, 2)
 
         return embeddings, output_dimensions