bert onnx to tensorrt wrong
## Environment info
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     Don't forget to fill out the missing fields in that output! -->

- `transformers` version:
- Platform: ubuntu 18
- Python version: 4.11.3
- PyTorch version (GPU?):1.8.0 gpu
- Tensorflow version (GPU?):
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?:

I get bert onnx ckpt by
`python -m transformers.onnx --model=bert-base-cased onnx/bert-base-cased/`

Then, I want to convert onnx to tensorrt 
`TensorRT-8.2.0.6/bin/trtexec --verbose \
                             --workspace=20000 \
                             --minShapes="input_ids":1x1,'attention_mask':1x1,'token_type_ids':1x1 \
                             --optShapes="input_ids":4x64,"attention_mask":4x64,"token_type_ids":4x64 \
                             --maxShapes="input_ids":8x128,"attention_mask":8x128,"token_type_ids":8x128 \
                             --onnx=./onnx/bert-base-cased/model.onnx \
                             --saveEngine=./trt/bert-base-cased/model.trt \
                             --fp16`

However, I get error

![image](https://user-images.githubusercontent.com/22662737/138287788-8ff5d519-1ef9-40e1-9bd8-6411ff415a14.png)

Can you give me some help ？

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.<|||||>I am currently working on that there: https://github.com/ELS-RD/transformer-deploy
TBH, it's not a simple problem, but it brings lots of performance improvement compared to vanilla pytorch or even CUDA provider on ONNX Runtime<|||||>Hey @WallE-Chang this issue would be better suited for the `optimum` [library](https://github.com/huggingface/optimum), which is more focused on these framework-specific aspects. Would you mind opening your issue there?<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.