提交 cfa61d61 编写于 作者: Y yejianwu

update docker docs

上级 59120842
# Usage
Wiki url: [http://v9.git.n.xiaomi.com/deep-computing/mace/wikis/Docker%20Environment/Usage](http://v9.git.n.xiaomi.com/deep-computing/mace/wikis/Docker%20Environment/Usage)
FROM miaimace/mace-dev:latest
FROM xiaomimace/mace-dev:latest
# Update source
RUN apt-get update -y
......
......@@ -68,38 +68,16 @@ the pre-built image is also available:
.. code:: sh
sudo docker pull cr.d.xiaomi.net/mace/mace-dev
sudo docker run -it --rm --privileged -v /dev/bus/usb:/dev/bus/usb --net=host -v /local/path:/container/path cr.d.xiaomi.net/mace/mace-dev /bin/bash
# Build with Dockerfile
cd docker
docker build -t xiaomimace/mace-dev
# Pull image from docker hub
docker pull xiaomimace/mace-dev
Docker Images
----------------
* Login in `Xiaomi Docker Registry <http://docs.api.xiaomi.net/docker-registry/>`__
.. code:: sh
docker login cr.d.xiaomi.net
* Build with Dockerfile
.. code:: sh
docker build -t cr.d.xiaomi.net/mace/mace-dev
* Pull image from docker registry
.. code:: sh
docker pull cr.d.xiaomi.net/mace/mace-dev
* Create container
.. code:: sh
# Create container
# Set 'host' network to use ADB
docker run -it --rm -v /local/path:/container/path --net=host cr.d.xiaomi.net/mace/mace-dev /bin/bash
docker run -it --rm --privileged -v /dev/bus/usb:/dev/bus/usb --net=host -v /local/path:/container/path xiaomimace/mace-dev /bin/bash
Usage
......@@ -130,9 +108,7 @@ Usage
TensorFlow provides a
`Graph Transform Tool <https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/graph_transforms/README.md>`__
to improve inference efficiency. You can build it from TensorFlow source,
or download `a pre-compiled x86-64 binary <http://cnbj1-inner-fds.api.xiaomi.net/mace/tool/transform_graph>`__.
The MiAI Compute Engine docker image has this tool pre-installed.
to improve inference efficiency.
The following commands show the suggested graph transformations and
optimizations for CPU, GPU and DSP runtime.
......
......@@ -23,8 +23,16 @@ MiAI计算引擎提供了包含开发运行所需环境的docker镜像,镜像
.. code:: sh
sudo docker pull cr.d.xiaomi.net/mace/mace-dev
sudo docker run -it --rm --privileged -v /dev/bus/usb:/dev/bus/usb --net=host -v /local/path:/container/path cr.d.xiaomi.net/mace/mace-dev /bin/bash
# 从Dockerfile编译镜像
cd docker
docker build -t xiaomimace/mace-dev
# 从docker hub拉取镜像
docker pull xiaomimace/mace-dev
# 创建容器
# 为了adb连接需要设置'host'参数
docker run -it --rm --privileged -v /dev/bus/usb:/dev/bus/usb --net=host -v /local/path:/container/path xiaomimace/mace-dev /bin/bash
如果用户希望配置开发机上的环境,可以参考如下环境要求:
......@@ -70,35 +78,6 @@ MiAI计算引擎提供了包含开发运行所需环境的docker镜像,镜像
- >= 17.09.0-ce
- `install doc <https://docs.docker.com/install/linux/docker-ce/ubuntu/#set-up-the-repository>`__
Docker Images
----------------
* Login in `Xiaomi Docker Registry <http://docs.api.xiaomi.net/docker-registry/>`__
.. code:: sh
docker login cr.d.xiaomi.net
* Build with Dockerfile
.. code:: sh
docker build -t cr.d.xiaomi.net/mace/mace-dev
* Pull image from docker registry
.. code:: sh
docker pull cr.d.xiaomi.net/mace/mace-dev
* Create container
.. code:: sh
# Set 'host' network to use ADB
docker run -it --rm -v /local/path:/container/path --net=host cr.d.xiaomi.net/mace/mace-dev /bin/bash
使用简介
--------
......@@ -133,10 +112,7 @@ Docker Images
TensorFlow训练得到的模型进行一系列的转换,可以提升设备上的运行速度。TensorFlow提供了官方工具
`TensorFlow Graph Transform
Tool <https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/graph_transforms/README.md>`__
来进行模型优化
(此工具Docker镜像中已经提供,也可以直接点击
`transform_graph <http://cnbj1-inner-fds.api.xiaomi.net/mace/tool/transform_graph>`__
下载这个工具,用户亦可从官方源码编译)。以下分别是GPU模型和DSP模型的优化命令:
来进行模型优化。以下分别是GPU模型和DSP模型的优化命令:
.. code:: sh
......
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