[Question]Does anyone try to optimize quartznet inference through tensorrt?
**Describe your question**

I follow [this link](https://colab.research.google.com/github/NVIDIA/NeMo/blob/v1.0.0b2/tutorials/asr/01_ASR_with_NeMo.ipynb) to try to achieve quartznet inference optimization through tensorrt. I have installed onnxruntime-gpu-tensorrt and use tensorrt provider in onnxruntime. I did observe high gpu usage and gpu memory ocupation. But the inference time is a little slower than without tensorrt. I heard that some neural network can't be optimized by tensorrt. So is quartznet that case? Does anyone try to optimize quartznet inference through tensorrt? If yes, can you share some data with me? Thanks.


