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Update Docker for partial-fc.
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anxiangsir committed Jan 6, 2021
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Expand Up @@ -75,11 +75,27 @@ Use [unpack_glint360k.py](./unpack_glint360k.py) to unpack.

## Docker For Partial-FC
Make sure you have installed the NVIDIA driver and Docker engine for your Linux distribution Note that you do not need to
install the CUDA Toolkit and other independence on the host system, but the NVIDIA driver needs to be installed
install the CUDA Toolkit and other independence on the host system, but the NVIDIA driver needs to be installed.
Because the CUDA version used in the image is 10.1,
the graphics driver version on the physical machine must be greater than 418.

### 1. Docker Getting Started
You can use dockerhub or offline docker.tar to get the image of the Partial-fc.
1. dockerhub
```shell
docker pull insightface/partial_fc:v1
```

2. offline images
coming soon!

### 2. Getting Started
```shell
sudo docker run -it -v /train_tmp:/train_tmp --net=host --privileged --gpus 8 --shm-size=1g insightface/partial_fc:v1 /bin/bash
```


`/train_tmp` is where you put your training set (if you have enough RAM memory,
you can turn it into `tmpfs` first).

## Training Speed Benchmark
### 1. Train Glint360K Using MXNET
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