# 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](https://github.com/chufei1995/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/mbv3_large.wts from pytorch implementation

// 2. put mbv3_small.wts/mbv3_large.wts into tensorrtx/mobilenetv3

// 3. build and run

cd tensorrtx/mobilenetv3

mkdir build

cd build

cmake ..

make

sudo ./mobilenetv3 -s small(or large) // serialize model to plan file i.e. 'mobilenetv3_small.engine'

sudo ./mobilenetv3 -d small(or large)  // deserialize plan file and run inference

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