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Add mkl-dnn to docker install method #12643

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69 changes: 68 additions & 1 deletion docs/install/index.md
Original file line number Diff line number Diff line change
Expand Up @@ -179,6 +179,16 @@ REPOSITORY TAG IMAGE ID CREATED
mxnet/python latest 00d026968b3c 3 weeks ago 1.41 GB
```

Using the latest MXNet with [Intel MKL-DNN](https://github.com/intel/mkl-dnn) is recommended for the fastest inference speeds with MXNet.

```
$ docker pull mxnet/python:1.3.0_cpu_mkl # Use sudo if you skip Step 2
$ docker images # Use sudo if you skip Step 2

REPOSITORY TAG IMAGE ID CREATED SIZE
mxnet/python 1.3.0_cpu_mkl deaf9bf61d29 4 days ago 678 MB
```

**Step 4** <a href="validate_mxnet.html">Validate the installation</a>.

</div> <!-- END of docker -->
Expand Down Expand Up @@ -304,6 +314,16 @@ REPOSITORY TAG IMAGE ID CREATED
mxnet/python gpu 493b2683c269 3 weeks ago 4.77 GB
```

Using the latest MXNet with [Intel MKL-DNN](https://github.com/intel/mkl-dnn) is recommended for the fastest inference speeds with MXNet.

```
$ docker pull mxnet/python:1.3.0_cpu_mkl # Use sudo if you skip Step 2
$ docker images # Use sudo if you skip Step 2

REPOSITORY TAG IMAGE ID CREATED SIZE
mxnet/python 1.3.0_gpu_cu92_mkl adcb3ab19f50 4 days ago 4.23 GB
```

**Step 5** <a href="validate_mxnet.html">Validate the installation</a>.

</div> <!-- END of docker -->
Expand Down Expand Up @@ -511,6 +531,16 @@ REPOSITORY TAG IMAGE ID CREATED
mxnet/python latest 00d026968b3c 3 weeks ago 1.41 GB
```

Using the latest MXNet with [Intel MKL-DNN](https://github.com/intel/mkl-dnn) is recommended for the fastest inference speeds with MXNet.

```
$ docker pull mxnet/python:1.3.0_cpu_mkl # Use sudo if you skip Step 2
$ docker images # Use sudo if you skip Step 2

REPOSITORY TAG IMAGE ID CREATED SIZE
mxnet/python 1.3.0_cpu_mkl deaf9bf61d29 4 days ago 678 MB
```

**Step 4** <a href="validate_mxnet.html">Validate the installation</a>.

</div> <!-- END of docker -->
Expand Down Expand Up @@ -698,7 +728,44 @@ Check the chart below for other options, refer to <a href="https://pypi.org/proj
<div class="docker build-from-source">
<br/>

Refer to the <a href="windows_setup.html">MXNet Windows installation guide</a>.
Docker images with *MXNet* are available at [Docker Hub](https://hub.docker.com/r/mxnet/).

**Step 1** Install Docker on your machine by following the [docker installation instructions](https://docs.docker.com/engine/installation/linux/ubuntu/#install-using-the-repository).

*Note* - You can install Community Edition (CE) to get started with *MXNet*.

**Step 2** [Optional] Post installation steps to manage Docker as a non-root user.

Follow the four steps in this [docker documentation](https://docs.docker.com/engine/installation/linux/linux-postinstall/#manage-docker-as-a-non-root-user) to allow managing docker containers without *sudo*.

If you skip this step, you need to use *sudo* each time you invoke Docker.

**Step 3** Pull the MXNet docker image.

```
$ docker pull mxnet/python # Use sudo if you skip Step 2
```

You can list docker images to see if mxnet/python docker image pull was successful.

```
$ docker images # Use sudo if you skip Step 2

REPOSITORY TAG IMAGE ID CREATED SIZE
mxnet/python latest 00d026968b3c 3 weeks ago 1.41 GB
```

Using the latest MXNet with [Intel MKL-DNN](https://github.com/intel/mkl-dnn) is recommended for the fastest inference speeds with MXNet.

```
$ docker pull mxnet/python:1.3.0_cpu_mkl # Use sudo if you skip Step 2
$ docker images # Use sudo if you skip Step 2

REPOSITORY TAG IMAGE ID CREATED SIZE
mxnet/python 1.3.0_cpu_mkl deaf9bf61d29 4 days ago 678 MB
```

**Step 4** <a href="validate_mxnet.html">Validate the installation</a>.


</div> <!-- End of docker build-from-source -->
Expand Down