Question about INT8 quantization Slower
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Since Jul 17, 2022.
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Description
Description
yolov5s base pytorch-quantization
reference https://github.com/maggiez0138/yolov5_quant_sample
onnx->fp16 3ms
qat->onnx->int8 4ms
why? please tell me，thanks.
Environment
TensorRT Version:8.2
NVIDIA GPU: geforce 3060ti
NVIDIA Driver Version: 510
CUDA Version: 11.4
CUDNN Version: 7.2
Operating System: ubuntu 18.04
Python Version (if applicable): 3.8
Tensorflow Version (if applicable):
PyTorch Version (if applicable): 1.10
Baremetal or Container (if so, version):
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