You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/06/07 21:41:13 UTC
[GitHub] szha closed pull request #11128: [MXNET-504] Add version select +
queryString capabilities + C++ instructions to install page
szha closed pull request #11128: [MXNET-504] Add version select + queryString capabilities + C++ instructions to install page
URL: https://github.com/apache/incubator-mxnet/pull/11128
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
As this is a foreign pull request (from a fork), the diff is supplied
below (as it won't show otherwise due to GitHub magic):
diff --git a/docs/_static/js/options.js b/docs/_static/js/options.js
index 8fe74ee1904..d2d44b07848 100644
--- a/docs/_static/js/options.js
+++ b/docs/_static/js/options.js
@@ -1,10 +1,47 @@
-//$('.burger-link').on('click', function(e) { e.stopPropagation() });
-//$('.burger-link').on('touchstart', function(e) { e.stopPropagation() });
+var versionSelect = defaultVersion = 'v1.2.0';
+var deviceSelect = 'Linux';
+var languageSelect = 'Python';
+var processorSelect = 'CPU';
+var environSelect = 'Pip';
$(document).ready(function () {
function label(lbl) {
return lbl.replace(/[ .]/g, '-').toLowerCase();
}
+
+ function setSelects(){
+ let urlParams = new URLSearchParams(window.location.search);
+ if (urlParams.get('version'))
+ versionSelect = urlParams.get('version');
+ $('li a:contains(' + versionSelect + ')').parent().siblings().removeClass('active');
+ $('li a:contains(' + versionSelect + ')').parent().addClass('active');
+ $('.current-version').html( versionSelect + ' <span class="caret"></span></button>' );
+ if (urlParams.get('device'))
+ deviceSelect = urlParams.get('device');
+ $('button:contains(' + deviceSelect + ')').siblings().removeClass('active');
+ $('button:contains(' + deviceSelect + ')').addClass('active');
+ if (urlParams.get('language'))
+ languageSelect = urlParams.get('language');
+ $('button:contains(' + languageSelect + ')').siblings().removeClass('active');
+ $('button:contains(' + languageSelect + ')').addClass('active');
+ if (urlParams.get('processor'))
+ processorSelect = urlParams.get('processor');
+ $('button:contains(' + processorSelect + ')').siblings().removeClass('active');
+ $('button:contains(' + processorSelect + ')').addClass('active');
+ if (urlParams.get('environ'))
+ environSelect = urlParams.get('environ');
+ $('button:contains(' + environSelect + ')').siblings().removeClass('active');
+ $('button:contains(' + environSelect + ')').addClass('active');
+ showContent();
+ if (window.location.href.includes("/install/index.html")) {
+ if (versionSelect.includes(defaultVersion)) {
+ history.pushState(null, null, '/install/index.html?device=' + deviceSelect + '&language=' + languageSelect + '&processor=' + processorSelect);
+ } else {
+ history.pushState(null, null, '/install/index.html?version=' + versionSelect + '&device=' + deviceSelect + '&language=' + languageSelect + '&processor=' + processorSelect);
+ }
+ }
+ }
+
function showContent() {
$('.opt-group .opt').each(function(){
$('.'+label($(this).text())).hide();
@@ -16,11 +53,35 @@ $(document).ready(function () {
});
}
showContent();
+ setSelects();
function setContent() {
var el = $(this);
+ let urlParams = new URLSearchParams(window.location.search);
el.siblings().removeClass('active');
el.addClass('active');
+ if ($(this).hasClass("versions")) {
+ $('.current-version').html( $(this).text() + ' <span class="caret"></span></button>' );
+ if (!$(this).text().includes(defaultVersion)) {
+ if (!window.location.search.includes("version")) {
+ history.pushState(null, null, '/install/index.html' + window.location.search.concat( '&version=' + $(this).text() ));
+ } else {
+ history.pushState(null, null, '/install/index.html' + window.location.search.replace( urlParams.get('version'), $(this).text() ));
+ }
+ } else if (window.location.search.includes("version")) {
+ history.pushState(null, null, '/install/index.html' + window.location.search.replace( 'version', 'prev' ));
+ }
+ }
+ else if ($(this).hasClass("Devices")) {
+ history.pushState(null, null, '/install/index.html' + window.location.search.replace( urlParams.get('device'), $(this).text() ));
+ }
+ else if ($(this).hasClass("languages")) {
+ history.pushState(null, null, '/install/index.html' + window.location.search.replace( urlParams.get('language'), $(this).text() ));
+ }
+ else if ($(this).hasClass("processors")) {
+ history.pushState(null, null, '/install/index.html' + window.location.search.replace( urlParams.get('processor'), $(this).text() ));
+ }
showContent();
+ //window.location.search = window.location.search.replace( urlParams.get('version'), $(this).text() );
}
$('.opt-group').on('click', '.opt', setContent);
});
diff --git a/docs/install/index.md b/docs/install/index.md
index b6a9a4e9ed2..4b966b62067 100644
--- a/docs/install/index.md
+++ b/docs/install/index.md
@@ -2,43 +2,57 @@
Indicate your preferred configuration. Then, follow the customized commands to install *MXNet*.
+ <div class="dropdown">
+ <button class="btn current-version btn-primary dropdown-toggle" type="button" data-toggle="dropdown">v1.2.0
+ <span class="caret"></span></button>
+ <ul class="dropdown-menu opt-group">
+ <li class="opt active versions"><a href="#">v1.2.0</a></li>
+ <li class="opt versions"><a href="#">v1.1.0</a></li>
+ <li class="opt versions"><a href="#">v1.0.0</a></li>
+ <li class="opt versions"><a href="#">v0.12.1</a></li>
+ <li class="opt versions"><a href="#">v0.11.0</a></li>
+ <li class="opt versions"><a href="#">master</a></li>
+ </ul>
+ </div>
+
<script type="text/javascript" src='../_static/js/options.js'></script>
<!-- START - OS Menu -->
<div class="btn-group opt-group" role="group">
- <button type="button" class="btn btn-default opt active">Linux</button>
- <button type="button" class="btn btn-default opt">MacOS</button>
- <button type="button" class="btn btn-default opt">Windows</button>
- <button type="button" class="btn btn-default opt">Cloud</button>
- <button type="button" class="btn btn-default opt">Devices</button>
+ <button type="button" class="btn btn-default opt active Devices">Linux</button>
+ <button type="button" class="btn btn-default opt Devices">MacOS</button>
+ <button type="button" class="btn btn-default opt Devices">Windows</button>
+ <button type="button" class="btn btn-default opt Devices">Cloud</button>
+ <button type="button" class="btn btn-default opt Devices">Devices</button>
</div>
<!-- START - Language Menu -->
<div class="linux macos windows">
<div class="btn-group opt-group" role="group">
- <button type="button" class="btn btn-default opt active">Python</button>
- <button type="button" class="btn btn-default opt">Scala</button>
- <button type="button" class="btn btn-default opt">R</button>
- <button type="button" class="btn btn-default opt">Julia</button>
- <button type="button" class="btn btn-default opt">Perl</button>
+ <button type="button" class="btn btn-default opt active languages">Python</button>
+ <button type="button" class="btn btn-default opt languages">Scala</button>
+ <button type="button" class="btn btn-default opt languages">R</button>
+ <button type="button" class="btn btn-default opt languages">Julia</button>
+ <button type="button" class="btn btn-default opt languages">Perl</button>
+ <button type="button" class="btn btn-default opt languages">Cpp</button>
</div>
</div>
<!-- No CPU GPU for other Devices -->
<div class="linux macos windows cloud">
<div class="btn-group opt-group" role="group">
- <button type="button" class="btn btn-default opt active">CPU</button>
- <button type="button" class="btn btn-default opt">GPU</button>
+ <button type="button" class="btn btn-default processors opt active">CPU</button>
+ <button type="button" class="btn btn-default processors opt">GPU</button>
</div>
</div>
<!-- other devices -->
<div class="devices">
<div class="btn-group opt-group" role="group">
- <button type="button" class="btn btn-default opt active">Raspberry Pi</button>
- <button type="button" class="btn btn-default opt">NVIDIA Jetson TX2</button>
+ <button type="button" class="btn btn-default iots opt active">Raspberry Pi</button>
+ <button type="button" class="btn btn-default iots opt">NVIDIA Jetson TX2</button>
</div>
</div>
@@ -48,10 +62,10 @@ Indicate your preferred configuration. Then, follow the customized commands to i
<div class="python">
<div class="cpu gpu">
<div class="btn-group opt-group" role="group">
- <button type="button" class="btn btn-default opt active">Pip</button>
- <button type="button" class="btn btn-default opt">Virtualenv</button>
- <button type="button" class="btn btn-default opt">Docker</button>
- <button type="button" class="btn btn-default opt">Build from Source</button>
+ <button type="button" class="btn btn-default environs opt active">Pip</button>
+ <button type="button" class="btn btn-default environs opt">Virtualenv</button>
+ <button type="button" class="btn btn-default environs opt">Docker</button>
+ <button type="button" class="btn btn-default environs opt">Build from Source</button>
</div>
</div>
</div>
@@ -81,6 +95,8 @@ $ sudo apt-get install -y wget python gcc
$ wget https://bootstrap.pypa.io/get-pip.py && sudo python get-pip.py
```
+<div class="v1-2-0">
+
**Step 2** Install MXNet with OpenBLAS acceleration.
```bash
@@ -100,6 +116,139 @@ pip install graphviz
$ pip install mxnet-mkl
```
+</div> <!-- End of v1-2-0 -->
+
+<div class="v1-1-0">
+
+**Step 2** Install MXNet with OpenBLAS acceleration.
+
+```bash
+$ pip install mxnet==1.1.0
+```
+
+**Step 3** Install [Graphviz](http://www.graphviz.org/). (Optional, needed for graph visualization using `mxnet.viz` package).
+```bash
+sudo apt-get install graphviz
+pip install graphviz
+```
+
+**Step 4** Validate the installation by running simple MXNet code described [here](#validate-mxnet-installation).
+
+**Experimental Choice** If You would like to install mxnet with Intel MKL, try the experimental pip package with MKL:
+```bash
+$ pip install mxnet-mkl==1.1.0
+```
+
+</div> <!-- End of v1-1-0-->
+
+<div class="v1-0-0">
+
+**Step 2** Install MXNet with OpenBLAS acceleration.
+
+```bash
+$ pip install mxnet==1.0.0
+```
+
+**Step 3** Install [Graphviz](http://www.graphviz.org/). (Optional, needed for graph visualization using `mxnet.viz` package).
+```bash
+sudo apt-get install graphviz
+pip install graphviz
+```
+
+**Step 4** Validate the installation by running simple MXNet code described [here](#validate-mxnet-installation).
+
+**Experimental Choice** If You would like to install mxnet with Intel MKL, try the experimental pip package with MKL:
+```bash
+$ pip install mxnet-mkl==1.0.0
+```
+
+</div> <!-- End of v1-0-0-->
+
+
+<div class="v0-12-1">
+
+
+**Step 2** Install MXNet with OpenBLAS acceleration.
+
+```bash
+$ pip install mxnet==0.12.1
+```
+
+For MXNet 0.12.0 -
+
+```bash
+$ pip install mxnet==0.12.0
+```
+
+**Step 3** Install [Graphviz](http://www.graphviz.org/). (Optional, needed for graph visualization using `mxnet.viz` package).
+```bash
+sudo apt-get install graphviz
+pip install graphviz
+```
+
+**Step 4** Validate the installation by running simple MXNet code described [here](#validate-mxnet-installation).
+
+**Experimental Choice** If You would like to install mxnet with Intel MKL, try the experimental pip package with MKL:
+```bash
+$ pip install mxnet-mkl==0.12.1
+```
+
+For MXNet 0.12.0 -
+
+```bash
+$ pip install mxnet-mkl==0.12.0
+```
+
+</div> <!-- End of v0-12-1-->
+
+<div class="v0-11-0">
+
+
+**Step 2** Install MXNet with OpenBLAS acceleration.
+
+```bash
+$ pip install mxnet==0.11.0
+```
+
+**Step 3** Install [Graphviz](http://www.graphviz.org/). (Optional, needed for graph visualization using `mxnet.viz` package).
+```bash
+sudo apt-get install graphviz
+pip install graphviz
+```
+
+**Step 4** Validate the installation by running simple MXNet code described [here](#validate-mxnet-installation).
+
+**Experimental Choice** If You would like to install mxnet with Intel MKL, try the experimental pip package with MKL:
+```bash
+$ pip install mxnet-mkl==0.11.0
+```
+
+</div> <!-- End of v0-11-0-->
+
+<div class="master">
+
+
+**Step 2** Install MXNet with OpenBLAS acceleration.
+
+```bash
+$ pip install mxnet --pre
+```
+
+**Step 3** Install [Graphviz](http://www.graphviz.org/). (Optional, needed for graph visualization using `mxnet.viz` package).
+```bash
+sudo apt-get install graphviz
+pip install graphviz
+```
+
+**Step 4** Validate the installation by running simple MXNet code described [here](#validate-mxnet-installation).
+
+**Experimental Choice** If You would like to install mxnet with Intel MKL, try the experimental pip package with MKL:
+```bash
+$ pip install mxnet-mkl --pre
+```
+
+</div> <!-- End of master-->
+
</div> <!-- End of pip -->
<div class="virtualenv">
@@ -140,12 +289,74 @@ Installing *MXNet* with pip requires a latest version of `pip`. Install the late
$ pip install --upgrade pip
```
+<div class="v1-2-0">
+
Install *MXNet* with OpenBLAS acceleration.
```bash
$ pip install mxnet
```
+</div> <!-- End of v1-2-0-->
+
+<div class="v1-1-0">
+
+Install *MXNet* with OpenBLAS acceleration.
+
+```bash
+$ pip install mxnet==1.1.0
+```
+
+</div> <!-- End of v1-1-0-->
+
+<div class="v1-0-0">
+
+Install *MXNet* with OpenBLAS acceleration.
+
+```bash
+$ pip install mxnet==1.0.0
+```
+
+</div> <!-- End of v1-0-0-->
+
+
+<div class="v0-12-1">
+
+Install *MXNet* with OpenBLAS acceleration.
+
+```bash
+$ pip install mxnet==0.12.1
+```
+
+For *MXNet* 0.12.0 -
+
+```bash
+$ pip install mxnet==0.12.0
+```
+
+</div> <!-- End of v0-12-1-->
+
+<div class="v0-11-0">
+
+Install *MXNet* with OpenBLAS acceleration.
+
+```bash
+$ pip install mxnet==0.11.0
+```
+
+</div> <!-- End of v0-11-0-->
+
+<div class="master">
+
+Install *MXNet* with OpenBLAS acceleration.
+
+```bash
+$ pip install mxnet --pre
+```
+
+</div> <!-- End of master-->
+
+
**Step 4** Install [Graphviz](http://www.graphviz.org/). (Optional, needed for graph visualization using `mxnet.viz` package).
```bash
sudo apt-get install graphviz
@@ -193,7 +404,6 @@ mxnet/python latest 00d026968b3c 3 weeks ago
</div> <!-- END of docker -->
-
<div class="build-from-source">
<br/>
@@ -301,6 +511,8 @@ $ sudo apt-get install -y wget python
$ wget https://bootstrap.pypa.io/get-pip.py && sudo python get-pip.py
```
+<div class="v1-2-0">
+
**Step 2** Install *MXNet* with GPU support using CUDA 9.0
```bash
@@ -320,6 +532,117 @@ pip install graphviz
$ pip install mxnet-cu90mkl
```
+</div> <!-- End of v1-2-0-->
+
+
+<div class="v1-1-0">
+
+**Step 2** Install *MXNet* with GPU support using CUDA 9.0
+
+```bash
+$ pip install mxnet-cu90==1.1.0
+```
+
+**Step 3** Install [Graphviz](http://www.graphviz.org/). (Optional, needed for graph visualization using `mxnet.viz` package).
+```bash
+sudo apt-get install graphviz
+pip install graphviz
+```
+
+**Step 4** Validate the installation by running simple MXNet code described [here](#validate-mxnet-installation).
+
+**Experimental Choice** If You would like to install mxnet with Intel MKL, try the experimental pip package with MKL:
+```bash
+$ pip install mxnet-cu90mkl==1.1.0
+```
+
+</div> <!-- End of v1-1-0-->
+
+
+<div class="v1-0-0">
+
+**Step 2** Install *MXNet* with GPU support using CUDA 9.0
+
+```bash
+$ pip install mxnet-cu90==1.0.0
+```
+
+**Step 3** Install [Graphviz](http://www.graphviz.org/). (Optional, needed for graph visualization using `mxnet.viz` package).
+```bash
+sudo apt-get install graphviz
+pip install graphviz
+```
+
+**Step 4** Validate the installation by running simple MXNet code described [here](#validate-mxnet-installation).
+
+**Experimental Choice** If You would like to install mxnet with Intel MKL, try the experimental pip package with MKL:
+```bash
+$ pip install mxnet-cu90mkl==1.0.0
+```
+
+</div> <!-- End of v1-0-0-->
+
+
+<div class="v0-12-1">
+
+**Step 2** Install *MXNet* with GPU support using CUDA 9.0
+
+```bash
+$ pip install mxnet-cu90==0.12.1
+```
+
+For *MXNet* 0.12.0 -
+
+```bash
+$ pip install mxnet-cu90==0.12.0
+```
+
+**Step 3** Install [Graphviz](http://www.graphviz.org/). (Optional, needed for graph visualization using `mxnet.viz` package).
+```bash
+sudo apt-get install graphviz
+pip install graphviz
+```
+
+**Step 4** Validate the installation by running simple MXNet code described [here](#validate-mxnet-installation).
+
+**Experimental Choice** If You would like to install mxnet with Intel MKL, try the experimental pip package with MKL:
+```bash
+$ pip install mxnet-cu90mkl==0.12.1
+```
+
+For *MXNet* 0.12.0 -
+
+```bash
+$ pip install mxnet-cu90mkl==0.12.0
+```
+
+</div> <!-- End of v0-12-1-->
+
+
+<div class="v0-11-0">
+
+**Step 2** Install *MXNet* with GPU support using CUDA 9.0
+
+```bash
+$ pip install mxnet-cu90==0.11.0
+```
+
+**Step 3** Install [Graphviz](http://www.graphviz.org/). (Optional, needed for graph visualization using `mxnet.viz` package).
+```bash
+sudo apt-get install graphviz
+pip install graphviz
+```
+
+**Step 4** Validate the installation by running simple MXNet code described [here](#validate-mxnet-installation).
+
+**Experimental Choice** If You would like to install mxnet with Intel MKL, try the experimental pip package with MKL:
+```bash
+$ pip install mxnet-cu90mkl==0.11.0
+```
+
+</div> <!-- End of v0-11-0-->
+
+
</div> <!-- END of pip -->
<div class="virtualenv">
@@ -361,12 +684,77 @@ Installing *MXNet* with pip requires a latest version of `pip`. Install the late
(mxnet)$ pip install --upgrade pip
```
+
+<div class="v1-2-0">
+
Install *MXNet* with GPU support using CUDA 9.0.
```bash
(mxnet)$ pip install mxnet-cu90
```
+</div> <!-- End of v1-2-0-->
+
+
+<div class="v1-1-0">
+
+Install *MXNet* with GPU support using CUDA 9.0.
+
+```bash
+(mxnet)$ pip install mxnet-cu90==1.1.0
+```
+
+</div> <!-- End of v1-1-0-->
+
+
+<div class="v1-0-0">
+
+Install *MXNet* with GPU support using CUDA 9.0.
+
+```bash
+(mxnet)$ pip install mxnet-cu90==1.0.0
+```
+
+</div> <!-- End of v1-0-0-->
+
+
+<div class="v0-12-1">
+
+Install *MXNet* with GPU support using CUDA 9.0.
+
+```bash
+(mxnet)$ pip install mxnet-cu90==0.12.1
+```
+
+For *MXNet* 0.12.0 with GPU support using CUDA 9.0.
+
+```bash
+(mxnet)$ pip install mxnet-cu90==0.12.0
+```
+
+</div> <!-- End of v0-12-1-->
+
+
+<div class="v0-11-0">
+
+Install *MXNet* with GPU support using CUDA 9.0.
+
+```bash
+(mxnet)$ pip install mxnet-cu90==0.11.0
+```
+
+</div> <!-- End of v0-11-0-->
+
+<div class="master">
+
+Install *MXNet* with GPU support using CUDA 9.0.
+
+```bash
+(mxnet)$ pip install mxnet-cu90 --pre
+```
+
+</div> <!-- End of master-->
+
**Step 4** Install [Graphviz](http://www.graphviz.org/). (Optional, needed for graph visualization using `mxnet.viz` package).
```bash
sudo apt-get install graphviz
@@ -633,6 +1021,12 @@ Follow the installation instructions [in this guide](./ubuntu_setup.md) to set u
</div> <!-- End of cpu gpu -->
</div> <!-- End of scala julia perl -->
+<div class="cpp">
+<div class="cpu gpu">
+<p> To build the C++ package, please refer to <a href="build_from_source.html#build-the-c-package">this guide</a>. </p>
+<br/>
+</div> <!-- End of cpu gpu -->
+</div> <!-- END - C++-->
</div> <!-- END - Linux -->
@@ -668,9 +1062,74 @@ $ pip install --upgrade pip
$ pip install --upgrade setuptools
```
+<div class="v1-2-0">
+
+Then use pip to install MXNet:
+
```bash
$ pip install mxnet
```
+</div> <!-- End of v1-2-0 -->
+
+
+<div class="v1-1-0">
+
+Then use pip to install MXNet:
+
+```bash
+$ pip install mxnet==1.1.0
+```
+
+</div> <!-- End of v1-1-0-->
+
+
+<div class="v1-0-0">
+
+Then use pip to install MXNet:
+
+```bash
+$ pip install mxnet==1.0.0
+```
+
+</div> <!-- End of v1-0-0-->
+
+<div class="v0-12-1">
+
+Then use pip to install MXNet:
+
+```bash
+$ pip install mxnet=0.12.1
+```
+
+For MXNet 0.12.0 -
+
+```bash
+$ pip install mxnet=0.12.0
+```
+
+
+</div> <!-- End of v0-12-1-->
+
+
+<div class="v0-11-0">
+
+Then use pip to install MXNet:
+
+```bash
+$ pip install mxnet==0.11.0
+```
+
+</div> <!-- End of v0-11-0-->
+
+<div class="master">
+
+Then use pip to install MXNet:
+
+```bash
+$ pip install mxnet --pre
+```
+
+</div> <!-- End of master-->
**Step 3** Install [Graphviz](http://www.graphviz.org/). (Optional, needed for graph visualization using `mxnet.viz` package).
```bash
@@ -732,12 +1191,75 @@ Installing *MXNet* with pip requires a latest version of `pip`. Install the late
(mxnet)$ pip install --upgrade setuptools
```
+<div class="v1-2-0">
+
Install *MXNet* with OpenBLAS acceleration.
```bash
(mxnet)$ pip install mxnet
```
+</div> <!-- End of v1-2-0-->
+
+<div class="v1-1-0">
+
+Install *MXNet* with OpenBLAS acceleration.
+
+```bash
+(mxnet)$ pip install mxnet==1.1.0
+```
+
+</div> <!-- End of v1-1-0-->
+
+<div class="v1-0-0">
+
+Install *MXNet* with OpenBLAS acceleration.
+
+```bash
+(mxnet)$ pip install mxnet==1.0.0
+```
+
+</div> <!-- End of v1-0-0-->
+
+
+<div class="v0-12-1">
+
+Install *MXNet* with OpenBLAS acceleration.
+
+```bash
+(mxnet)$ pip install mxnet==0.12.1
+```
+
+For *MXNet* 0.12.0 -
+
+```bash
+(mxnet)$ pip install mxnet==0.12.0
+```
+
+
+</div> <!-- End of v0-12-1-->
+
+<div class="v0-11-0">
+
+Install *MXNet* with OpenBLAS acceleration.
+
+```bash
+(mxnet)$ pip install mxnet==0.11.0
+```
+
+</div> <!-- End of v0-11-0-->
+
+<div class="master">
+
+Install *MXNet* with OpenBLAS acceleration.
+
+```bash
+(mxnet)$ pip install mxnet --pre
+```
+
+</div> <!-- End of master-->
+
+
**Step 5** Install [Graphviz](http://www.graphviz.org/). (Optional, needed for graph visualization using `mxnet.viz` package).
```bash
$ brew install graphviz
@@ -932,6 +1454,10 @@ Follow the installation instructions [in this guide](./osx_setup.md) to set up M
</div> <!-- End of cpu gpu -->
</div> <!-- End of scala julia perl -->
+<div class="cpp">
+<p>To build the C++ package, please refer to <a href="build_from_source.html#build-the-c-package">this guide</a>.</p>
+<br/>
+</div>
</div> <!-- END - Mac OS -->
@@ -953,12 +1479,76 @@ Follow the installation instructions [in this guide](./osx_setup.md) to set up M
[Anaconda](https://www.anaconda.com/download/) is recommended.
+<div class="v1-2-0">
+
**Step 2** Install *MXNet*.
```bash
$ pip install mxnet
```
+</div> <!-- End of v1-2-0-->
+
+<div class="v1-1-0">
+
+**Step 2** Install *MXNet*.
+
+```bash
+$ pip install mxnet==1.1.0
+```
+
+</div> <!-- End of v1-1-0-->
+
+<div class="v1-0-0">
+
+**Step 2** Install *MXNet*.
+
+```bash
+$ pip install mxnet==1.0.0
+```
+
+</div> <!-- End of v1-0-0-->
+
+
+<div class="v0-12-1">
+
+**Step 2** Install *MXNet*.
+
+```bash
+$ pip install mxnet==0.12.1
+```
+
+For *MXNet* 0.12.0 -
+
+```bash
+$ pip install mxnet==0.12.0
+```
+
+
+</div> <!-- End of v0-12-1-->
+
+<div class="v0-11-0">
+
+**Step 2** Install *MXNet*.
+
+```bash
+$ pip install mxnet==0.11.0
+```
+
+
+</div> <!-- End of v0-11-0-->
+
+<div class="master">
+
+**Step 2** Install *MXNet*.
+
+```bash
+$ pip install mxnet --pre
+```
+
+</div> <!-- End of master-->
+
+
</div> <!-- End of pip -->
@@ -979,12 +1569,73 @@ Follow the installation instructions [in this guide](./windows_setup.md) to set
[Anaconda](https://www.anaconda.com/download/) is recommended.
+
+<div class="v1-2-0">
+
**Step 2** Install *MXNet* with GPU support using CUDA 9.0.
```bash
$ pip install mxnet-cu90
```
+</div> <!-- End of v1-2-0-->
+
+<div class="v1-1-0">
+
+**Step 2** Install *MXNet* with GPU support using CUDA 9.0.
+
+```bash
+$ pip install mxnet-cu90==1.1.0
+```
+
+</div> <!-- End of v1-1-0-->
+
+<div class="v1-0-0">
+
+**Step 2** Install *MXNet* with GPU support using CUDA 9.0.
+
+```bash
+$ pip install mxnet-cu90==1.0.0
+```
+
+</div> <!-- End of v1-0-0-->
+
+<div class="v0-12-1">
+
+**Step 2** Install *MXNet* with GPU support using CUDA 9.0.
+
+```bash
+$ pip install mxnet-cu90==0.12.1
+```
+
+Install *MXNet* 0.12.0 with GPU support using CUDA 9.0.
+
+```bash
+$ pip install mxnet-cu90==0.12.0
+```
+
+</div> <!-- End of v0-12-1-->
+
+<div class="v0-11-0">
+
+**Step 2** Install *MXNet* with GPU support using CUDA 9.0.
+
+```bash
+$ pip install mxnet-cu90==0.11.0
+```
+
+</div> <!-- End of v0-11-0-->
+
+<div class="master">
+
+**Step 2** Install *MXNet* with GPU support using CUDA 9.0.
+
+```bash
+$ pip install mxnet-cu90 --pre
+```
+
+</div> <!-- End of master-->
+
Refer to [#8671](https://github.com/apache/incubator-mxnet/issues/8671) for status on CUDA 9.1 support.
</div>
@@ -1122,6 +1773,12 @@ Follow the installation instructions [in this guide](./windows_setup.md) to set
</div> <!-- End of cpu gpu -->
</div> <!-- End of scala julia perl -->
+<div class="cpp">
+<div class="cpu gpu">
+<p> To build the C++ package, please refer to <a href="build_from_source.html#build-the-c-package">this guide</a>. </p>
+<br/>
+</div> <!-- End of cpu gpu -->
+</div> <!-- End of C++>
</div> <!-- End of Windows -->
@@ -1684,7 +2341,7 @@ b
<div class="linux">
- <div class="scala julia perl">
+ <div class="scala julia perl cpp">
<div class="cpu gpu">
Will be available soon.
@@ -1694,7 +2351,7 @@ Will be available soon.
</div>
<div class="macos">
- <div class="scala julia perl">
+ <div class="scala julia perl cpp">
<div class="cpu gpu">
Will be available soon.
@@ -1716,7 +2373,7 @@ Will be available soon.
</div>
</div>
-<div class="scala julia perl">
+<div class="scala julia perl cpp">
<div class="cpu gpu">
Will be available soon.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
users@infra.apache.org
With regards,
Apache Git Services