duan8/mobilenetv3/README.md

mobilenet v3

MobileNetV3 architecture from "Searching for MobileNetV3" https://arxiv.org/abs/1905.02244?context=cs.

For the Pytorch implementation, you can refer to mobilenetv3.pytorch

Following tricks are used in this mobilenet,

• Hsigmoid is used in mobilenet v3. We create a plugin in tensorrt.
• Batchnorm layer, implemented by scale layer.

// 1. generate mbv3_small.wts from pytorch implementation

// 2. put mbv3_small.wts into tensorrtx/mobilenet

// 3. build and run

cd tensorrtx/mobilenetv3

mkdir build

cd build

cmake ..

make

sudo ./mobilenetv3 -s   // serialize model to plan file i.e. 'mobilenetv3_small.engine'

sudo ./mobilenetv3 -d   // deserialize plan file and run inference

// 4. see if the output is same as pytorch implementation