Unable to trace DebertaForMaskedLM

### System Info - `transformers` version: 4.37.1 - Platform: Linux-5.4.0-47-generic-x86_64-with-glibc2.17 - Python version: 3.8.13 - Huggingface_hub version: 0.19.4 - Safetensors version: 0.3.1 - Accelerate version: not installed - Accelerate config: not found - PyTorch version (GPU?): 2.1.2+cu118 (True) - Tensorflow version (GPU?): not installed (NA) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed - Using GPU in script?: <fill in> - Using distributed or parallel set-up in script?: <fill in> ### Who can help? _No response_ ### Information - [ ] The official example scripts - [X] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [X] My own task or dataset (give details below) ### Reproduction from config import load_config from transformers import ( DebertaForMaskedLM, DebertaConfig, ) from transformers.utils.fx import symbolic_trace def main(): config_kwarg = load_config("deberta-large") config = DebertaConfig( **config_kwarg ) # create model model = DebertaForMaskedLM(config) traced_model = symbolic_trace(model) if __name__ == "__main__": main() ### Expected behavior When I run the scirpt, get following error.