| | |
|---|
| | | return results, meta_data |
|---|
| | | |
|---|
| | | def export(self, **kwargs): |
|---|
| | | is_onnx = kwargs.get("type", "onnx") == "onnx" |
|---|
| | | encoder_class = tables.encoder_classes.get(kwargs["encoder"] + "Export") |
|---|
| | | self.encoder = encoder_class(self.encoder, onnx=is_onnx) |
|---|
| | | self.forward = self._export_forward |
|---|
| | | |
|---|
| | | return self |
|---|
| | | |
|---|
| | | def _export_forward(self, feats: torch.Tensor, *args, **kwargs): |
|---|
| | | scores, out_caches = self.encoder.export_forward(feats, *args) |
|---|
| | | |
|---|
| | | scores, out_caches = self.encoder(feats, *args) |
|---|
| | | |
|---|
| | | return scores, out_caches |
|---|
| | | |
|---|
| | | def export_dummy_inputs(self, data_in=None, frame=30): |
|---|
