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[MXNET-1402] MXNet docs change for 1.4.1 release #14949

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merged 11 commits into from
May 20, 2019
18 changes: 18 additions & 0 deletions NEWS.md
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MXNet Change Log
================

## 1.4.1

Apache MXNet (incubating) 1.4.1 is a maintenance release incorporating important bug fixes and important performance improvements. All users of Apache MXNet (incubating) 1.4.0 are advised to upgrade. You can install Apache MXNet (incubating) 1.4.1 at the usual place. Please review these Release Notes to learn the bug fixes.

### Bug-fixes
* Java bug-fix cherry pick (#14834)
* Use DEFAULT macro in C APIs (#14767) (#14789)
* Set idx2name for Optimizer object (#14703) (#14772)
* Add pin_device_id option to Gluon DataLoader (#14136) (#14771)
* Tidy up storage allocation and deallocation (#14480) (#14768)
* Add MXEnginePushAsync and MXEnginePushSync C APIs (#14615) (#14770)
* Less cudaGet/SetDevice calls in Gluon execution (#13764)
* Fix nightly build of 1.4.x (#14556)
* Memory fixes. Resolves #10867, and resolves #14080 (#14372) (#14586)
* Fixes for data links (#14526)
* Backport of Windows CI Fixes (#14420)


## 1.4.0

- [New Features](#new-features)
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1 change: 1 addition & 0 deletions README.md
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What's New
----------
* [Version 1.4.1 Release](https://github.com/apache/incubator-mxnet/releases/tag/1.4.1) - MXNet 1.4.1 Patch Release.
* [Version 1.4.0 Release](https://github.com/apache/incubator-mxnet/releases/tag/1.4.0) - MXNet 1.4.0 Release.
* [Version 1.3.1 Release](https://github.com/apache/incubator-mxnet/releases/tag/1.3.1) - MXNet 1.3.1 Patch Release.
* [Version 1.3.0 Release](https://github.com/apache/incubator-mxnet/releases/tag/1.3.0) - MXNet 1.3.0 Release.
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2 changes: 1 addition & 1 deletion docs/_static/js/options.js
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*/

/* Installation page display functions for install selector */
var versionSelect = defaultVersion = 'v1.4.0';
var versionSelect = defaultVersion = 'v1.4.1';
var platformSelect = 'Linux';
var languageSelect = 'Python';
var processorSelect = 'CPU';
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6 changes: 3 additions & 3 deletions docs/_static/mxnet-theme/index.html
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<div class="container">
<div class="row">
<div class="col-lg-4 col-sm-12">
<h3>MXNet 1.4.0 Released</h3>
<p>This release introduces the Java Inference API and Julia API, as well as Control Flow Operators, MKLDNN optimizations, and SVRG optimization.</p>
<a href="https://github.com/apache/incubator-mxnet/releases/tag/1.4.0">Learn More</a>
<h3>MXNet 1.4.1 Released</h3>
<p>This patch release features bug fixes and performance improvements.</p>
<a href="https://github.com/apache/incubator-mxnet/releases/tag/1.4.1">Learn More</a>
</div>
<div class="col-lg-4 col-sm-12">
<h3>A 60-minute Gluon Crash Course</h3>
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1 change: 1 addition & 0 deletions docs/install/download.md
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| Version | Source | PGP | SHA |
|---------|-------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------|
| 1.4.1 | [Download](https://www.apache.org/dyn/closer.cgi/incubator/mxnet/1.4.1/apache-mxnet-src-1.4.1-incubating.tar.gz) | [Download](https://apache.org/dist/incubator/mxnet/1.4.1/apache-mxnet-src-1.4.1-incubating.tar.gz.asc) | [Download](https://apache.org/dist/incubator/mxnet/1.4.1/apache-mxnet-src-1.4.1-incubating.tar.gz.sha512) |
| 1.4.0 | [Download](https://www.apache.org/dyn/closer.cgi/incubator/mxnet/1.4.0/apache-mxnet-src-1.4.0-incubating.tar.gz) | [Download](https://apache.org/dist/incubator/mxnet/1.4.0/apache-mxnet-src-1.4.0-incubating.tar.gz.asc) | [Download](https://apache.org/dist/incubator/mxnet/1.4.0/apache-mxnet-src-1.4.0-incubating.tar.gz.sha512) |
| 1.3.1 | [Download](https://www.apache.org/dyn/closer.cgi/incubator/mxnet/1.3.1/apache-mxnet-src-1.3.1-incubating.tar.gz) | [Download](https://apache.org/dist/incubator/mxnet/1.3.1/apache-mxnet-src-1.3.1-incubating.tar.gz.asc) | [Download](https://apache.org/dist/incubator/mxnet/1.3.1/apache-mxnet-src-1.3.1-incubating.tar.gz.sha512) |
| 1.3.0 | [Download](https://archive.apache.org/dist/incubator/mxnet/1.3.0/apache-mxnet-src-1.3.0-incubating.tar.gz) | [Download](https://archive.apache.org/dist/incubator/mxnet/1.3.0/apache-mxnet-src-1.3.0-incubating.tar.gz.asc) | [Download](https://archive.apache.org/dist/incubator/mxnet/1.3.0/apache-mxnet-src-1.3.0-incubating.tar.gz.sha512) |
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35 changes: 19 additions & 16 deletions docs/install/index.md
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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">v1.4.0
<button class="btn current-version btn-primary dropdown-toggle" type="button" data-toggle="dropdown">v1.4.1
<span class="caret"></span></button>
<ul class="dropdown-menu opt-group">
<li class="opt active versions"><a href="#">v1.4.0</a></li>
<li class="opt active versions"><a href="#">v1.4.1</a></li>
<li class="opt versions"><a href="#">v1.3.1</a></li>
<li class="opt versions"><a href="#">v1.2.1</a></li>
<li class="opt versions"><a href="#">v1.1.0</a></li>
Expand Down Expand Up @@ -118,16 +118,19 @@ Indicate your preferred configuration. Then, follow the customized commands to i
<div class="python">
<div class="cpu">
<div class="pip">
<div class="v1-4-0">
<div class="v1-4-1">

MKL-DNN enabled pip packages are optimized for Intel hardware. You can find performance numbers in the <a href="../../faq/perf.md#intel-cpu">MXNet tuning guide</a>.

```
$ pip install mxnet
```

MKL-DNN enabled pip packages are optimized for Intel hardware. You can find performance numbers in the <a href="../../faq/perf.md#intel-cpu">MXNet tuning guide</a>.
</div> <!-- End of v1-4-1 -->
<div class="v1-4-0">

```
$ pip install mxnet-mkl==1.4.0
$ pip install mxnet==1.4.0
```

</div> <!-- End of v1-4-0 -->
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Check the chart below for other options, refer to <a href="https://pypi.org/project/mxnet/">PyPI for other MXNet pip packages</a>, or <a href="validate_mxnet.html">validate your MXNet installation</a>.

<img src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/install/pip-packages-1.4.0.png" alt="pip packages"/>
<img src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/install/pip-packages.png" alt="pip packages"/>

**NOTES:**

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MXNet offers MKL pip packages that will be much faster when running on Intel hardware.
Check the chart below for other options, refer to <a href="https://pypi.org/project/mxnet/">PyPI for other MXNet pip packages</a>, or <a href="validate_mxnet.html">validate your MXNet installation</a>.

<img src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/install/pip-packages-1.4.0.png" alt="pip packages"/>
<img src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/install/pip-packages.png" alt="pip packages"/>

**NOTES:**

Expand Down Expand Up @@ -529,13 +532,13 @@ You can use the Maven packages defined in the following dependency to include MX
<br/>
You can use the Maven packages defined in the following dependency to include MXNet in your Java project. The Java API is provided as a subset of the Scala API and is intended for inference only. Please refer to the <a href="java_setup.html">MXNet-Java setup guide</a> for a detailed set of instructions to help you with the setup process.

<a href="https://repository.apache.org/#nexus-search;gav~org.apache.mxnet~~1.4.0~~"><img src="https://img.shields.io/badge/org.apache.mxnet-linux gpu-green.svg" alt="maven badge"/></a>
<a href="https://repository.apache.org/#nexus-search;gav~org.apache.mxnet~~1.4.1~~"><img src="https://img.shields.io/badge/org.apache.mxnet-linux gpu-green.svg" alt="maven badge"/></a>

```html
<dependency>
<groupId>org.apache.mxnet</groupId>
<artifactId>mxnet-full_2.11-linux-x86_64-gpu</artifactId>
<version>[1.4.0, )</version>
<version>[1.4.1, )</version>
</dependency>
```

Expand All @@ -546,13 +549,13 @@ You can use the Maven packages defined in the following dependency to include MX
<br/>
You can use the Maven packages defined in the following dependency to include MXNet in your Java project. The Java API is provided as a subset of the Scala API and is intended for inference only. Please refer to the <a href="java_setup.html">MXNet-Java setup guide</a> for a detailed set of instructions to help you with the setup process.

<a href="https://repository.apache.org/#nexus-search;gav~org.apache.mxnet~~1.4.0~~"><img src="https://img.shields.io/badge/org.apache.mxnet-linux cpu-green.svg" alt="maven badge"/></a>
<a href="https://repository.apache.org/#nexus-search;gav~org.apache.mxnet~~1.4.1~~"><img src="https://img.shields.io/badge/org.apache.mxnet-linux cpu-green.svg" alt="maven badge"/></a>

```html
<dependency>
<groupId>org.apache.mxnet</groupId>
<artifactId>mxnet-full_2.11-linux-x86_64-cpu</artifactId>
<version>[1.4.0, )</version>
<version>[1.4.1, )</version>
</dependency>
```
<br>
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MXNet offers MKL pip packages that will be much faster when running on Intel hardware.
Check the chart below for other options, refer to <a href="https://pypi.org/project/mxnet/">PyPI for other MXNet pip packages</a>, or <a href="validate_mxnet.html">validate your MXNet installation</a>.

<img src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/install/pip-packages-1.4.0.png" alt="pip packages"/>
<img src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/install/pip-packages.png" alt="pip packages"/>

**NOTES:**

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</br>
You can use the Maven packages defined in the following dependency to include MXNet in your Java project. The Java API is provided as a subset of the Scala API and is intended for inference only. Please refer to the <a href="java_setup.html">MXNet-Java setup guide</a> for a detailed set of instructions to help you with the setup process.

<a href="https://repository.apache.org/#nexus-search;gav~org.apache.mxnet~~1.4.0~~"><img src="https://img.shields.io/badge/org.apache.mxnet-mac cpu-green.svg" alt="maven badge"/></a>
<a href="https://repository.apache.org/#nexus-search;gav~org.apache.mxnet~~1.4.1~~"><img src="https://img.shields.io/badge/org.apache.mxnet-mac cpu-green.svg" alt="maven badge"/></a>

```html
<dependency>
<groupId>org.apache.mxnet</groupId>
<artifactId>mxnet-full_2.11-linux-x86_64-cpu</artifactId>
<version>[1.4.0, )</version>
<version>[1.4.1, )</version>
</dependency>
```
<br>
Expand Down Expand Up @@ -952,7 +955,7 @@ $ pip install mxnet --pre
MXNet offers MKL pip packages that will be much faster when running on Intel hardware.
Check the chart below for other options, refer to <a href="https://pypi.org/project/mxnet/">PyPI for other MXNet pip packages</a>, or <a href="validate_mxnet.html">validate your MXNet installation</a>.

<img src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/install/pip-packages-1.4.0.png" alt="pip packages"/>
<img src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/install/pip-packages.png" alt="pip packages"/>

**NOTES:**

Expand Down Expand Up @@ -1083,7 +1086,7 @@ $ pip install mxnet-cu92 --pre
MXNet offers MKL pip packages that will be much faster when running on Intel hardware.
Check the chart below for other options, refer to <a href="https://pypi.org/project/mxnet/">PyPI for other MXNet pip packages</a>, or <a href="validate_mxnet.html">validate your MXNet installation</a>.

<img src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/install/pip-packages-1.4.0.png" alt="pip packages"/>
<img src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/install/pip-packages.png" alt="pip packages"/>

**NOTES:**

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