Consolidate installation instructions on website and add disclaimer f…

…or non-ASF ressources (#18487)

* Update website with disclaimer for non-ASF ressources

* Integrate Windows instructions to build_from_source.md

* Remove master version from selector

* Update Download links

* Update get_started/download.md per Release Download Page policy

contrib/clojure-package/README.md

@@ -66,7 +66,7 @@ Currently there are no pre-built jars available. jars that were previously avail
 
 ### Building MXNet and the Clojure package from source
 
-The first step is to download the latest version from [the Apache release page](https://downloads.apache.org/incubator/mxnet/).
+The first step is to download the latest version from the [Download page](https://mxnet.apache.org/get_started/download).
 
 #### Building the core library
 

docs/python_docs/python/tutorials/deploy/inference/image_classification_jetson.md

@@ -49,7 +49,7 @@ Alternatively, you can also directly install MXNet v1.6 wheel with Jetson suppor
 
 *WARNING: this MXNet wheel is provided for your convenience but it contains packages that are not provided nor endorsed by the Apache Software Foundation.
 As such, they might contain software components with more restrictive licenses than the Apache License and you'll need to decide whether they are appropriate for your usage. Like all Apache Releases, the
-official Apache MXNet (incubating) releases consist of source code only and are found at https://downloads.apache.org/incubator/mxnet .*
+official Apache MXNet (incubating) releases consist of source code only and are found at https://mxnet.apache.org/get_started/download .*
 
 We start by installing MXNet dependencies
 ```bash
@@ -114,4 +114,4 @@ With prob = 0.28096, it contains n02119022 red fox, Vulpes vulpes
 With prob = 0.06857, it contains n02124075 Egyptian cat
 With prob = 0.03046, it contains n02120505 grey fox, gray fox, Urocyon cinereoargenteus
 With prob = 0.02770, it contains n02441942 weasel
-```
+```

docs/static_site/src/_includes/get_started/cloud/cpu.md

@@ -1,8 +1,16 @@
-MXNet should work on any cloud provider's CPU-only instances. Follow the Python pip install
-instructions,
-Docker instructions, or try the following preinstalled option.
+MXNet should work on any cloud provider's CPU-only instances. Follow the Python
+pip install instructions, Docker instructions, or try the following preinstalled
+option.
+
+WARNING: the following cloud provider packages are provided for your convenience
+but they point to packages that are *not* provided nor endorsed by the Apache
+Software Foundation. As such, they might contain software components with more
+restrictive licenses than the Apache License and you'll need to decide whether
+they are appropriate for your usage. Like all Apache Releases, the official
+Apache MXNet (incubating) releases consist of source code only and are found at
+the [Download page](https://mxnet.apache.org/get_started/download).
 
 * **Amazon Web Services**
 - [AWS Deep Learning AMI](https://aws.amazon.com/machine-learning/amis/) - Preinstalled
 Conda environments
-for Python 2 or 3 with MXNet and MKL-DNN.
+for Python 2 or 3 with MXNet and MKL-DNN.

docs/static_site/src/_includes/get_started/cloud/gpu.md

@@ -1,7 +1,14 @@
-MXNet is available on several cloud providers with GPU support. You can also find
-GPU/CPU-hybrid support for
-use cases like scalable inference, or even fractional GPU support with AWS Elastic
-Inference.
+MXNet is available on several cloud providers with GPU support. You can also
+find GPU/CPU-hybrid support for use cases like scalable inference, or even
+fractional GPU support with AWS Elastic Inference.
+
+WARNING: the following cloud provider packages are provided for your convenience
+but they point to packages that are *not* provided nor endorsed by the Apache
+Software Foundation. As such, they might contain software components with more
+restrictive licenses than the Apache License and you'll need to decide whether
+they are appropriate for your usage. Like all Apache Releases, the official
+Apache MXNet (incubating) releases consist of source code only and are found at
+the [Download page](https://mxnet.apache.org/get_started/download).
 
 * **Alibaba**
 - [NVIDIA
@@ -29,4 +36,4 @@ All NVIDIA VMs use the [NVIDIA MXNet Docker
 container](https://ngc.nvidia.com/catalog/containers/nvidia:mxnet).
 Follow the [container usage
 instructions](https://ngc.nvidia.com/catalog/containers/nvidia:mxnet) found in
-[NVIDIA's container repository](https://ngc.nvidia.com/).
+[NVIDIA's container repository](https://ngc.nvidia.com/).

docs/static_site/src/_includes/get_started/linux/cpp/build-from-source.md

@@ -0,0 +1,2 @@
+To use the C++ package, build from source the `USE_CPP_PACKAGE=1` option. Please
+refer to the build from source instructions linked above.

docs/static_site/src/_includes/get_started/linux/java/build-from-source.md

@@ -0,0 +1,6 @@
+Previously available binaries distributed via Maven have been removed as they
+redistributed Category-X binaries in violation of Apache Software Foundation
+(ASF) policies.
+
+At this point in time, no third-party binary Java packages are available. Please
+follow the build from source instructions linked above.

docs/static_site/src/_includes/get_started/linux/julia/build-from-source.md

@@ -1,2 +1 @@
-Refer to the [Julia section of the MXNet Ubuntu installation guide](/get_started/ubuntu_setup.html#install-the-mxnet-package-for-julia).
-
+Please follow the build from source instructions linked above.

docs/static_site/src/_includes/get_started/linux/perl/build-from-source.md

@@ -0,0 +1 @@
+Please follow the build from source instructions linked above.

docs/static_site/src/_includes/get_started/linux/python/cpu/build-from-source.md

@@ -1 +1 @@
-To build from source, refer to the [MXNet Ubuntu installation guide](/get_started/ubuntu_setup.html).
+Please follow the build from source instructions linked above.

docs/static_site/src/_includes/get_started/linux/python/cpu/docker.md

@@ -1,22 +1,18 @@
-Docker images with *MXNet* are available at [DockerHub](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.
+WARNING: the following links and names of binary distributions are provided for
+your convenience but they point to packages that are *not* provided nor endorsed
+by the Apache Software Foundation. As such, they might contain software
+components with more restrictive licenses than the Apache License and you'll
+need to decide whether they are appropriate for your usage. Like all Apache
+Releases, the official Apache MXNet (incubating) releases consist of source code
+only and are found at
+the [Download page](https://mxnet.apache.org/get_started/download).
+
 
-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 images with *MXNet* are available at [DockerHub](https://hub.docker.com/r/mxnet/).
+After you installed Docker on your machine, you can use them via:
 
 {% highlight bash %}
-$ docker pull mxnet/python # Use sudo if you skip Step 2
+$ docker pull mxnet/python
 {% endhighlight %}
 
 You can list docker images to see if mxnet/python docker image pull was successful.
@@ -28,16 +24,4 @@ REPOSITORY TAG IMAGE ID CREATED SIZE
 mxnet/python latest 00d026968b3c 3 weeks ago 1.41 GB
 {% endhighlight %}
 
-Using the latest MXNet with [Intel MKL-DNN](https://github.com/intel/mkl-dnn) is
-recommended for the
-fastest inference speeds with MXNet.
-
-{% highlight bash %}
-$ 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
-{% endhighlight %}
-
-**Step 4** <a href="/get_started/validate_mxnet.html">Validate the installation</a>.
+You can then <a href="/get_started/validate_mxnet.html">validate the installation</a>.

docs/static_site/src/_includes/get_started/linux/python/cpu/pip.md

@@ -1,3 +1,11 @@
+WARNING: the following PyPI package names are provided for your convenience but
+they point to packages that are *not* provided nor endorsed by the Apache
+Software Foundation. As such, they might contain software components with more
+restrictive licenses than the Apache License and you'll need to decide whether
+they are appropriate for your usage. Like all Apache Releases, the official
+Apache MXNet (incubating) releases consist of source code only and are found at
+the [Download page](https://mxnet.apache.org/get_started/download).
+
 Run the following command:
 
 <div class="v1-6-0">
@@ -115,13 +123,6 @@ pip install mxnet==0.11.0
 
 </div> <!-- End of v0-11-0-->
 
-<div class="master">
-
-{% highlight bash %}
-pip install --pre mxnet -f https://dist.mxnet.io/python/all
-{% endhighlight %}
-
-</div> <!-- End of master-->
 <br>
 
 

docs/static_site/src/_includes/get_started/linux/python/gpu/build-from-source.md

@@ -1 +1 @@
-To build from source, refer to the [MXNet Ubuntu installation guide](/get_started/ubuntu_setup.html).
+Please follow the build from source instructions linked above.

docs/static_site/src/_includes/get_started/linux/python/gpu/docker.md

@@ -1,24 +1,19 @@
-Docker images with *MXNet* are available at [DockerHub](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.
+WARNING: the following links and names of binary distributions are provided for
+your convenience but they point to packages that are *not* provided nor endorsed
+by the Apache Software Foundation. As such, they might contain software
+components with more restrictive licenses than the Apache License and you'll
+need to decide whether they are appropriate for your usage. Like all Apache
+Releases, the official Apache MXNet (incubating) releases consist of source code
+only and are found at
+the [Download page](https://mxnet.apache.org/get_started/download).
 
-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.
+Docker images with *MXNet* are available at [DockerHub](https://hub.docker.com/r/mxnet/).
 
-**Step 3** Install *nvidia-docker-plugin* following the [installation
-instructions](https://github.com/NVIDIA/nvidia-docker/wiki). *nvidia-docker-plugin*
-is required to
-enable the usage of GPUs from the docker containers.
+Please follow the [NVidia Docker installation
+instructions](https://github.com/NVIDIA/nvidia-docker/wiki) to enable the usage
+of GPUs from the docker containers.
 
-**Step 4** Pull the MXNet docker image.
+After you installed Docker on your machine, you can use them via:
 
 {% highlight bash %}
 $ docker pull mxnet/python:gpu # Use sudo if you skip Step 2
@@ -33,16 +28,4 @@ REPOSITORY TAG IMAGE ID CREATED SIZE
 mxnet/python gpu 493b2683c269 3 weeks ago 4.77 GB
 {% endhighlight %}
 
-Using the latest MXNet with [Intel MKL-DNN](https://github.com/intel/mkl-dnn) is
-recommended for the
-fastest inference speeds with MXNet.
-
-{% highlight bash %}
-$ 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
-{% endhighlight %}
-
-**Step 5** <a href="/get_started/validate_mxnet">Validate the installation</a>.
+You can then <a href="/get_started/validate_mxnet.html">validate the installation</a>.

docs/static_site/src/_includes/get_started/linux/python/gpu/pip.md

@@ -1,3 +1,11 @@
+WARNING: the following PyPI package names are provided for your convenience but
+they point to packages that are *not* provided nor endorsed by the Apache
+Software Foundation. As such, they might contain software components with more
+restrictive licenses than the Apache License and you'll need to decide whether
+they are appropriate for your usage. Like all Apache Releases, the official
+Apache MXNet (incubating) releases consist of source code only and are found at
+the [Download page](https://mxnet.apache.org/get_started/download).
+
 Run the following command:
 
 <div class="v1-6-0">
@@ -67,14 +75,6 @@ $ pip install mxnet-cu80==0.11.0
 
 </div> <!-- End of v0-11-0-->
 
-<div class="master">
-
-{% highlight bash %}
-$ pip install --pre mxnet-cu102 -f https://dist.mxnet.io/python/all
-{% endhighlight %}
-
-</div> <!-- End of master-->
-
 <br>
 
 {% include /get_started/pip_snippet.md %}

docs/static_site/src/_includes/get_started/linux/r/build-from-source.md

@@ -0,0 +1,2 @@
+You will need to R v3.4.4+ and build MXNet from source. Please follow the
+instructions linked above.

docs/static_site/src/_includes/get_started/macos

@@ -0,0 +1 @@
+linux