diff --git a/docs/install/index.md b/docs/install/index.md index c2aa229de1d7..109a44034e86 100644 --- a/docs/install/index.md +++ b/docs/install/index.md @@ -185,6 +185,16 @@ 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** Validate the installation. @@ -314,6 +324,16 @@ 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** Validate the installation. @@ -526,6 +546,16 @@ 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** Validate the installation. @@ -718,7 +748,44 @@ All MKL pip packages are experimental prior to version 1.3.0.

-Refer to the MXNet Windows installation guide. +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** Validate the installation.