Is there any layer that fp16 supports but int8 does not?

Description

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Environment

TensorRT Version: 7.1.3
GPU Type:
Nvidia Driver Version:
CUDA Version: 10.2
CUDNN Version: 8.0
Operating System + Version: ubuntu18.04
Python Version (if applicable): 3.6
TensorFlow Version (if applicable):
PyTorch Version (if applicable): 1.4.0
Baremetal or Container (if container which image + tag):

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Hi @user48094 ,
Can you please share more details with us to understand the ask.
Thanks!

Hi, Please refer to the below links to perform inference in INT8

Thanks!

I want to deploy my pytorch deep learning model on TX2, so I need to know which layers are suitable for int8 and fp16.

Hi,

The following support matrix may help you.
https://docs.nvidia.com/deeplearning/tensorrt/support-matrix/index.html#layers-precision-matrix

Thank you.

thank you