def load_state_dict(self, state_dict, strict=True, model_cfg=None):
        """Copies parameters and buffers from *state_dict* into this module and
        its descendants.

        Overrides the method in :class:`nn.Module`. Compared with that method
        this additionally "upgrades" *state_dicts* from old checkpoints.
        """
        self.upgrade_state_dict(state_dict)
        is_regular_transformer = not any("model.partitions" in k for k in state_dict)
        if is_regular_transformer:
            state_dict = self.convert_to_pipeline_parallel_state_dict(state_dict)
        return super().load_state_dict(state_dict, strict)
Copies parameters and buffers from *state_dict* into this module and
        its descendants.

        Overrides the method in :class:`nn.Module`. Compared with that method
        this additionally "upgrades" *state_dicts* from old checkpoints.
        
structured_prompting/fairseq-version/fairseq/fairseq/model_parallel/models/pipeline_parallel_transformer/model.py