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Posted to commits@mxnet.apache.org by sk...@apache.org on 2018/01/17 03:41:37 UTC
[incubator-mxnet-site] branch asf-site updated: removed torch.html
and references. Fixed Nesterov Momentum education link (#46)
This is an automated email from the ASF dual-hosted git repository.
skm pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 2075c26 removed torch.html and references. Fixed Nesterov Momentum education link (#46)
2075c26 is described below
commit 2075c265433a3163f6dc87a46812d745884089a6
Author: thinksanky <31...@users.noreply.github.com>
AuthorDate: Tue Jan 16 19:41:35 2018 -0800
removed torch.html and references. Fixed Nesterov Momentum education link (#46)
---
_modules/mxnet/optimizer.html | 2 +-
api/python/model.html | 2 +-
api/python/optimization.html | 2 +-
api/python/optimization/optimization.html | 2 +-
faq/develop_and_hack.html | 1 -
faq/index.html | 2 -
faq/torch.html | 315 ---------------------
how_to/develop_and_hack.html | 1 -
how_to/index.html | 2 -
how_to/torch.html | 264 -----------------
versions/0.11.0/api/python/model.html | 2 +-
versions/0.11.0/api/python/optimization.html | 2 +-
versions/0.11.0/how_to/develop_and_hack.html | 1 -
versions/0.11.0/how_to/index.html | 2 -
versions/0.12.0/api/python/model.html | 2 +-
versions/0.12.0/api/python/optimization.html | 2 +-
.../api/python/optimization/optimization.html | 2 +-
versions/0.12.0/faq/develop_and_hack.html | 1 -
versions/0.12.0/faq/index.html | 2 -
versions/0.12.0/how_to/develop_and_hack.html | 1 -
versions/0.12.0/how_to/index.html | 2 -
versions/0.12.1/api/python/model.html | 2 +-
versions/0.12.1/api/python/optimization.html | 2 +-
.../api/python/optimization/optimization.html | 2 +-
versions/0.12.1/faq/develop_and_hack.html | 1 -
versions/0.12.1/faq/index.html | 2 -
versions/0.12.1/how_to/develop_and_hack.html | 1 -
versions/0.12.1/how_to/index.html | 2 -
versions/master/_modules/mxnet/optimizer.html | 2 +-
versions/master/api/python/model.html | 2 +-
versions/master/api/python/optimization.html | 2 +-
.../api/python/optimization/optimization.html | 2 +-
versions/master/how_to/develop_and_hack.html | 1 -
versions/master/how_to/index.html | 1 -
34 files changed, 16 insertions(+), 618 deletions(-)
diff --git a/_modules/mxnet/optimizer.html b/_modules/mxnet/optimizer.html
index ec3ead4..9b29ac8 100644
--- a/_modules/mxnet/optimizer.html
+++ b/_modules/mxnet/optimizer.html
@@ -1267,7 +1267,7 @@
<span class="sd"> Much like Adam is essentially RMSprop with momentum,</span>
<span class="sd"> Nadam is Adam RMSprop with Nesterov momentum available</span>
-<span class="sd"> at http://cs229.stanford.edu/proj2015/054_report.pdf.</span>
+<span class="sd"> at https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ.</span>
<span class="sd"> This optimizer accepts the following parameters in addition to those accepted</span>
<span class="sd"> by :class:`.Optimizer`.</span>
diff --git a/api/python/model.html b/api/python/model.html
index 321daa1..bd9979b 100644
--- a/api/python/model.html
+++ b/api/python/model.html
@@ -2187,7 +2187,7 @@ by <a class="reference internal" href="optimization/optimization.html#mxnet.opti
<dd><p>The Nesterov Adam optimizer.</p>
<p>Much like Adam is essentially RMSprop with momentum,
Nadam is Adam RMSprop with Nesterov momentum available
-at <a class="reference external" href="http://cs229.stanford.edu/proj2015/054_report.pdf">http://cs229.stanford.edu/proj2015/054_report.pdf</a>.</p>
+at <a class="reference external" href="https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ">https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ</a>.</p>
<p>This optimizer accepts the following parameters in addition to those accepted
by <a class="reference internal" href="optimization/optimization.html#mxnet.optimizer.Optimizer" title="mxnet.optimizer.Optimizer"><code class="xref py py-class docutils literal"><span class="pre">Optimizer</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
diff --git a/api/python/optimization.html b/api/python/optimization.html
index bb8cf9c..3c563e6 100644
--- a/api/python/optimization.html
+++ b/api/python/optimization.html
@@ -811,7 +811,7 @@ by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.
<dd><p>The Nesterov Adam optimizer.</p>
<p>Much like Adam is essentially RMSprop with momentum,
Nadam is Adam RMSprop with Nesterov momentum available
-at <a class="reference external" href="http://cs229.stanford.edu/proj2015/054_report.pdf">http://cs229.stanford.edu/proj2015/054_report.pdf</a>.</p>
+at <a class="reference external" href="https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ">https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ</a>.</p>
<p>This optimizer accepts the following parameters in addition to those accepted
by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.optimizer.Optimizer"><code class="xref py py-class docutils literal"><span class="pre">Optimizer</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
diff --git a/api/python/optimization/optimization.html b/api/python/optimization/optimization.html
index 03e4c76..4fb684e 100644
--- a/api/python/optimization/optimization.html
+++ b/api/python/optimization/optimization.html
@@ -978,7 +978,7 @@ by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.
<dd><p>The Nesterov Adam optimizer.</p>
<p>Much like Adam is essentially RMSprop with momentum,
Nadam is Adam RMSprop with Nesterov momentum available
-at <a class="reference external" href="http://cs229.stanford.edu/proj2015/054_report.pdf">http://cs229.stanford.edu/proj2015/054_report.pdf</a>.</p>
+at <a class="reference external" href="https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ">https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ</a>.</p>
<p>This optimizer accepts the following parameters in addition to those accepted
by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.optimizer.Optimizer"><code class="xref py py-class docutils literal"><span class="pre">Optimizer</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
diff --git a/faq/develop_and_hack.html b/faq/develop_and_hack.html
index b105ca9..1f06872 100644
--- a/faq/develop_and_hack.html
+++ b/faq/develop_and_hack.html
@@ -207,7 +207,6 @@
<div class="toctree-wrapper compound">
<ul>
<li class="toctree-l1"><a class="reference internal" href="new_op.html">Create new operators</a></li>
-<li class="toctree-l1"><a class="reference internal" href="torch.html">Use Torch from MXNet</a></li>
<li class="toctree-l1"><a class="reference internal" href="env_var.html">Set environment variables of MXNet</a></li>
</ul>
</div>
diff --git a/faq/index.html b/faq/index.html
index aedc70f..c74d9f6 100644
--- a/faq/index.html
+++ b/faq/index.html
@@ -229,7 +229,6 @@
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/add_op_in_backend.html">How do I implement operators in MXNet backend?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/new_op.html">How do I create new operators in MXNet?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/env_var.html">How do I set MXNet’s environmental variables?</a></li>
-<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/torch.html">How do I use MXNet as a front end for Torch?</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#questions-about-using-mxnet">Questions about Using MXNet</a></li>
@@ -303,7 +302,6 @@ and full working examples, visit the <a class="reference internal" href="../tuto
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/add_op_in_backend.html">How do I implement operators in MXNet backend?</a></li>
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/new_op.html">How do I create new operators in MXNet?</a></li>
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/env_var.html">How do I set MXNet’s environmental variables?</a></li>
-<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/torch.html">How do I use MXNet as a front end for Torch?</a></li>
</ul>
</div>
</div>
diff --git a/faq/torch.html b/faq/torch.html
deleted file mode 100644
index f3553a0..0000000
--- a/faq/torch.html
+++ /dev/null
@@ -1,315 +0,0 @@
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-<span id="how-to-use-mxnet-as-an-almost-full-function-torch-front-end"></span><h1>How to Use MXNet As an (Almost) Full-function Torch Front End<a class="headerlink" href="#how-to-use-mxnet-as-an-almost-full-function-torch-front-end" title="Permalink to this headline">¶</a></h1>
-<p>This topic demonstrates how to use MXNet as a front end to two of Torch’s major functionalities:</p>
-<ul class="simple">
-<li>Call Torch’s tensor mathematical functions with MXNet.NDArray</li>
-<li>Embed Torch’s neural network modules (layers) into MXNet’s symbolic graph</li>
-</ul>
-<div class="section" id="compile-with-torch">
-<span id="compile-with-torch"></span><h2>Compile with Torch<a class="headerlink" href="#compile-with-torch" title="Permalink to this headline">¶</a></h2>
-<ul class="simple">
-<li>Install Torch using the <a class="reference external" href="http://torch.ch/docs/getting-started.html">official guide</a>.<ul>
-<li>If you haven’t already done so, copy <code class="docutils literal"><span class="pre">make/config.mk</span></code> (Linux) or <code class="docutils literal"><span class="pre">make/osx.mk</span></code> (Mac) into the MXNet root folder as <code class="docutils literal"><span class="pre">config.mk</span></code>. In <code class="docutils literal"><span class="pre">config.mk</span></code> uncomment the lines <code class="docutils literal"><span class="pre">TORCH_PATH</span> <span class="p [...]
-<li>By default, Torch should be installed in your home folder (so <code class="docutils literal"><span class="pre">TORCH_PATH</span> <span class="pre">=</span> <span class="pre">$(HOME)/torch</span></code>). Modify TORCH_PATH to point to your torch installation, if necessary.</li>
-</ul>
-</li>
-<li>Run <code class="docutils literal"><span class="pre">make</span> <span class="pre">clean</span> <span class="pre">&&</span> <span class="pre">make</span></code> to build MXNet with Torch support.</li>
-</ul>
-</div>
-<div class="section" id="tensor-mathematics">
-<span id="tensor-mathematics"></span><h2>Tensor Mathematics<a class="headerlink" href="#tensor-mathematics" title="Permalink to this headline">¶</a></h2>
-<p>The mxnet.th module supports calling Torch’s tensor mathematical functions with mxnet.nd.NDArray. See <a class="reference external" href="https://github.com/dmlc/mxnet/blob/master/example/torch/torch_function.py">complete code</a>:</p>
-<div class="highlight-python"><div class="highlight"><pre><span></span> <span class="kn">import</span> <span class="nn">mxnet</span> <span class="kn">as</span> <span class="nn">mx</span>
- <span class="n">x</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">th</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span class="n">mx</span><span class="o">.</span><span class="n">cpu</span><span class="p">(</span><span class="mi">0</span><span class="p [...]
- <span class="k">print</span> <span class="n">x</span><span class="o">.</span><span class="n">asnumpy</span><span class="p">()</span>
- <span class="n">y</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">th</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
- <span class="k">print</span> <span class="n">y</span><span class="o">.</span><span class="n">asnumpy</span><span class="p">()</span>
-
- <span class="n">x</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">th</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span class="n">mx</span><span class="o">.</span><span class="n">cpu</span><span class="p">(</span><span class="mi">0</span><span class="p [...]
- <span class="k">print</span> <span class="n">x</span><span class="o">.</span><span class="n">asnumpy</span><span class="p">()</span>
- <span class="n">mx</span><span class="o">.</span><span class="n">th</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span> <span class="c1"># in-place</span>
- <span class="k">print</span> <span class="n">x</span><span class="o">.</span><span class="n">asnumpy</span><span class="p">()</span>
-</pre></div>
-</div>
-<p>For help, use the <code class="docutils literal"><span class="pre">help(mx.th)</span></code> command.</p>
-<p>We’ve added support for most common functions listed on <a class="reference external" href="https://github.com/torch/torch7/blob/master/doc/maths.md">Torch’s documentation page</a>.
-If you find that the function you need is not supported, you can easily register it in <code class="docutils literal"><span class="pre">mxnet_root/plugin/torch/torch_function.cc</span></code> by using the existing registrations as examples.</p>
-</div>
-<div class="section" id="torch-modules-layers">
-<span id="torch-modules-layers"></span><h2>Torch Modules (Layers)<a class="headerlink" href="#torch-modules-layers" title="Permalink to this headline">¶</a></h2>
-<p>MXNet supports Torch’s neural network modules through the<code class="docutils literal"><span class="pre">mxnet.symbol.TorchModule</span></code> symbol.
-For example, the following code defines a three-layer DNN for classifying MNIST digits (<a class="reference external" href="https://github.com/dmlc/mxnet/blob/master/example/torch/torch_module.py">full code</a>):</p>
-<div class="highlight-python"><div class="highlight"><pre><span></span> <span class="n">data</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="s1">'data'</span><span class="p">)</span>
- <span class="n">fc1</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">TorchModule</span><span class="p">(</span><span class="n">data_0</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">lua_string</span><span class="o">=</span><span class="s1">'nn.Linear(784, 128)'</span><span class="p">,</span> <span class="n">num_data</span><span class=" [...]
- <span class="n">act1</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">TorchModule</span><span class="p">(</span><span class="n">data_0</span><span class="o">=</span><span class="n">fc1</span><span class="p">,</span> <span class="n">lua_string</span><span class="o">=</span><span class="s1">'nn.ReLU(false)'</span><span class="p">,</span> <span class="n">num_data</span><span class="o">=< [...]
- <span class="n">fc2</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">TorchModule</span><span class="p">(</span><span class="n">data_0</span><span class="o">=</span><span class="n">act1</span><span class="p">,</span> <span class="n">lua_string</span><span class="o">=</span><span class="s1">'nn.Linear(128, 64)'</span><span class="p">,</span> <span class="n">num_data</span><span class="o [...]
- <span class="n">act2</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">TorchModule</span><span class="p">(</span><span class="n">data_0</span><span class="o">=</span><span class="n">fc2</span><span class="p">,</span> <span class="n">lua_string</span><span class="o">=</span><span class="s1">'nn.ReLU(false)'</span><span class="p">,</span> <span class="n">num_data</span><span class="o">=< [...]
- <span class="n">fc3</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">TorchModule</span><span class="p">(</span><span class="n">data_0</span><span class="o">=</span><span class="n">act2</span><span class="p">,</span> <span class="n">lua_string</span><span class="o">=</span><span class="s1">'nn.Linear(64, 10)'</span><span class="p">,</span> <span class="n">num_data</span><span class="o" [...]
- <span class="n">mlp</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">SoftmaxOutput</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">fc3</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'softmax'</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>Let’s break it down. First <code class="docutils literal"><span class="pre">data</span> <span class="pre">=</span> <span class="pre">mx.symbol.Variable('data')</span></code> defines a Variable as a placeholder for input.
-Then, it’s fed through Torch’s nn modules with:
-<code class="docutils literal"><span class="pre">fc1</span> <span class="pre">=</span> <span class="pre">mx.symbol.TorchModule(data_0=data,</span> <span class="pre">lua_string='nn.Linear(784,</span> <span class="pre">128)',</span> <span class="pre">num_data=1,</span> <span class="pre">num_params=2,</span> <span class="pre">num_outputs=1,</span> <span class="pre">name='fc1')</span></code>.
-To use Torch’s criterion as loss functions, you can replace the last line with:</p>
-<div class="highlight-python"><div class="highlight"><pre><span></span> <span class="n">logsoftmax</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">TorchModule</span><span class="p">(</span><span class="n">data_0</span><span class="o">=</span><span class="n">fc3</span><span class="p">,</span> <span class="n">lua_string</span><span class="o">=</span><span class="s1">'nn.LogSoftMax()'</s [...]
- <span class="c1"># Torch's label starts from 1</span>
- <span class="n">label</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="s1">'softmax_label'</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span>
- <span class="n">mlp</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">TorchCriterion</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">logsoftmax</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="n">label</span><span class="p">,</span> <span class="n">lua_string</span><span class="o">=</span><s [...]
-</pre></div>
-</div>
-<p>The input to the nn module is named data_i for i = 0 ... num_data-1. <code class="docutils literal"><span class="pre">lua_string</span></code> is a single Lua statement that creates the module object.
-For Torch’s built-in module, this is simply <code class="docutils literal"><span class="pre">nn.module_name(arguments)</span></code>.
-If you are using a custom module, place it in a .lua script file and load it with <code class="docutils literal"><span class="pre">require</span> <span class="pre">'module_file.lua'</span></code> if your script returns a torch.nn object, or <code class="docutils literal"><span class="pre">(require</span> <span class="pre">'module_file.lua')()</span></code> if your script returns a torch.nn class.</p>
-</div>
-</div>
-</div>
-</div>
-<div aria-label="main navigation" class="sphinxsidebar rightsidebar" role="navigation">
-<div class="sphinxsidebarwrapper">
-<h3><a href="../index.html">Table Of Contents</a></h3>
-<ul>
-<li><a class="reference internal" href="#">How to Use MXNet As an (Almost) Full-function Torch Front End</a><ul>
-<li><a class="reference internal" href="#compile-with-torch">Compile with Torch</a></li>
-<li><a class="reference internal" href="#tensor-mathematics">Tensor Mathematics</a></li>
-<li><a class="reference internal" href="#torch-modules-layers">Torch Modules (Layers)</a></li>
-</ul>
-</li>
-</ul>
-</div>
-</div>
-</div><div class="footer">
-<div class="section-disclaimer">
-<div class="container">
-<div>
-<img height="60" src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/apache_incubator_logo.png"/>
-<p>
- Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
- </p>
-<p>
- "Copyright © 2017, The Apache Software Foundation
- Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
- </p>
-</div>
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-</div>
-</div> <!-- pagename != index -->
-</div>
-<script crossorigin="anonymous" integrity="sha384-0mSbJDEHialfmuBBQP6A4Qrprq5OVfW37PRR3j5ELqxss1yVqOtnepnHVP9aJ7xS" src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/js/bootstrap.min.js"></script>
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diff --git a/how_to/develop_and_hack.html b/how_to/develop_and_hack.html
index ddc5aa9..bbb4c1d 100644
--- a/how_to/develop_and_hack.html
+++ b/how_to/develop_and_hack.html
@@ -169,7 +169,6 @@
<div class="toctree-wrapper compound">
<ul>
<li class="toctree-l1"><a class="reference internal" href="new_op.html">Create new operators</a></li>
-<li class="toctree-l1"><a class="reference internal" href="torch.html">Use Torch from MXNet</a></li>
<li class="toctree-l1"><a class="reference internal" href="env_var.html">Set environment variables of MXNet</a></li>
</ul>
</div>
diff --git a/how_to/index.html b/how_to/index.html
index 380d51c..f88b0b6 100644
--- a/how_to/index.html
+++ b/how_to/index.html
@@ -188,7 +188,6 @@
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/community/contribute.html">How do I contribute a patch to MXNet?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/new_op.html">How do I create new operators in MXNet?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/env_var.html">How do I set MXNet’s environmental variables?</a></li>
-<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/torch.html">How do I use MXNet as a front end for Torch?</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#questions-about-using-mxnet">Questions about Using MXNet</a></li>
@@ -251,7 +250,6 @@ and full working examples, visit the <a class="reference internal" href="../tuto
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/community/contribute.html">How do I contribute a patch to MXNet?</a></li>
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/new_op.html">How do I create new operators in MXNet?</a></li>
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/env_var.html">How do I set MXNet’s environmental variables?</a></li>
-<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/torch.html">How do I use MXNet as a front end for Torch?</a></li>
</ul>
</div>
</div>
diff --git a/how_to/torch.html b/how_to/torch.html
deleted file mode 100644
index f69a78f..0000000
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-<div class="section" id="how-to-use-mxnet-as-an-almost-full-function-torch-front-end">
-<span id="how-to-use-mxnet-as-an-almost-full-function-torch-front-end"></span><h1>How to Use MXNet As an (Almost) Full-function Torch Front End<a class="headerlink" href="#how-to-use-mxnet-as-an-almost-full-function-torch-front-end" title="Permalink to this headline">¶</a></h1>
-<p>This topic demonstrates how to use MXNet as a front end to two of Torch’s major functionalities:</p>
-<ul class="simple">
-<li>Call Torch’s tensor mathematical functions with MXNet.NDArray</li>
-<li>Embed Torch’s neural network modules (layers) into MXNet’s symbolic graph</li>
-</ul>
-<div class="section" id="compile-with-torch">
-<span id="compile-with-torch"></span><h2>Compile with Torch<a class="headerlink" href="#compile-with-torch" title="Permalink to this headline">¶</a></h2>
-<ul class="simple">
-<li>Install Torch using the <a class="reference external" href="http://torch.ch/docs/getting-started.html">official guide</a>.<ul>
-<li>If you haven’t already done so, copy <code class="docutils literal"><span class="pre">make/config.mk</span></code> (Linux) or <code class="docutils literal"><span class="pre">make/osx.mk</span></code> (Mac) into the MXNet root folder as <code class="docutils literal"><span class="pre">config.mk</span></code>. In <code class="docutils literal"><span class="pre">config.mk</span></code> uncomment the lines <code class="docutils literal"><span class="pre">TORCH_PATH</span> <span class="p [...]
-<li>By default, Torch should be installed in your home folder (so <code class="docutils literal"><span class="pre">TORCH_PATH</span> <span class="pre">=</span> <span class="pre">$(HOME)/torch</span></code>). Modify TORCH_PATH to point to your torch installation, if necessary.</li>
-</ul>
-</li>
-<li>Run <code class="docutils literal"><span class="pre">make</span> <span class="pre">clean</span> <span class="pre">&&</span> <span class="pre">make</span></code> to build MXNet with Torch support.</li>
-</ul>
-</div>
-<div class="section" id="tensor-mathematics">
-<span id="tensor-mathematics"></span><h2>Tensor Mathematics<a class="headerlink" href="#tensor-mathematics" title="Permalink to this headline">¶</a></h2>
-<p>The mxnet.th module supports calling Torch’s tensor mathematical functions with mxnet.nd.NDArray. See <a class="reference external" href="https://github.com/dmlc/mxnet/blob/master/example/torch/torch_function.py">complete code</a>:</p>
-<div class="highlight-python"><div class="highlight"><pre><span></span> <span class="kn">import</span> <span class="nn">mxnet</span> <span class="kn">as</span> <span class="nn">mx</span>
- <span class="n">x</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">th</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span class="n">mx</span><span class="o">.</span><span class="n">cpu</span><span class="p">(</span><span class="mi">0</span><span class="p [...]
- <span class="k">print</span> <span class="n">x</span><span class="o">.</span><span class="n">asnumpy</span><span class="p">()</span>
- <span class="n">y</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">th</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
- <span class="k">print</span> <span class="n">y</span><span class="o">.</span><span class="n">asnumpy</span><span class="p">()</span>
-
- <span class="n">x</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">th</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span class="n">mx</span><span class="o">.</span><span class="n">cpu</span><span class="p">(</span><span class="mi">0</span><span class="p [...]
- <span class="k">print</span> <span class="n">x</span><span class="o">.</span><span class="n">asnumpy</span><span class="p">()</span>
- <span class="n">mx</span><span class="o">.</span><span class="n">th</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span> <span class="c1"># in-place</span>
- <span class="k">print</span> <span class="n">x</span><span class="o">.</span><span class="n">asnumpy</span><span class="p">()</span>
-</pre></div>
-</div>
-<p>For help, use the <code class="docutils literal"><span class="pre">help(mx.th)</span></code> command.</p>
-<p>We’ve added support for most common functions listed on <a class="reference external" href="https://github.com/torch/torch7/blob/master/doc/maths.md">Torch’s documentation page</a>.
-If you find that the function you need is not supported, you can easily register it in <code class="docutils literal"><span class="pre">mxnet_root/plugin/torch/torch_function.cc</span></code> by using the existing registrations as examples.</p>
-</div>
-<div class="section" id="torch-modules-layers">
-<span id="torch-modules-layers"></span><h2>Torch Modules (Layers)<a class="headerlink" href="#torch-modules-layers" title="Permalink to this headline">¶</a></h2>
-<p>MXNet supports Torch’s neural network modules through the<code class="docutils literal"><span class="pre">mxnet.symbol.TorchModule</span></code> symbol.
-For example, the following code defines a three-layer DNN for classifying MNIST digits (<a class="reference external" href="https://github.com/dmlc/mxnet/blob/master/example/torch/torch_module.py">full code</a>):</p>
-<div class="highlight-python"><div class="highlight"><pre><span></span> <span class="n">data</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="s1">'data'</span><span class="p">)</span>
- <span class="n">fc1</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">TorchModule</span><span class="p">(</span><span class="n">data_0</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">lua_string</span><span class="o">=</span><span class="s1">'nn.Linear(784, 128)'</span><span class="p">,</span> <span class="n">num_data</span><span class=" [...]
- <span class="n">act1</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">TorchModule</span><span class="p">(</span><span class="n">data_0</span><span class="o">=</span><span class="n">fc1</span><span class="p">,</span> <span class="n">lua_string</span><span class="o">=</span><span class="s1">'nn.ReLU(false)'</span><span class="p">,</span> <span class="n">num_data</span><span class="o">=< [...]
- <span class="n">fc2</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">TorchModule</span><span class="p">(</span><span class="n">data_0</span><span class="o">=</span><span class="n">act1</span><span class="p">,</span> <span class="n">lua_string</span><span class="o">=</span><span class="s1">'nn.Linear(128, 64)'</span><span class="p">,</span> <span class="n">num_data</span><span class="o [...]
- <span class="n">act2</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">TorchModule</span><span class="p">(</span><span class="n">data_0</span><span class="o">=</span><span class="n">fc2</span><span class="p">,</span> <span class="n">lua_string</span><span class="o">=</span><span class="s1">'nn.ReLU(false)'</span><span class="p">,</span> <span class="n">num_data</span><span class="o">=< [...]
- <span class="n">fc3</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">TorchModule</span><span class="p">(</span><span class="n">data_0</span><span class="o">=</span><span class="n">act2</span><span class="p">,</span> <span class="n">lua_string</span><span class="o">=</span><span class="s1">'nn.Linear(64, 10)'</span><span class="p">,</span> <span class="n">num_data</span><span class="o" [...]
- <span class="n">mlp</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">SoftmaxOutput</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">fc3</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'softmax'</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>Let’s break it down. First <code class="docutils literal"><span class="pre">data</span> <span class="pre">=</span> <span class="pre">mx.symbol.Variable('data')</span></code> defines a Variable as a placeholder for input.
-Then, it’s fed through Torch’s nn modules with:
-<code class="docutils literal"><span class="pre">fc1</span> <span class="pre">=</span> <span class="pre">mx.symbol.TorchModule(data_0=data,</span> <span class="pre">lua_string='nn.Linear(784,</span> <span class="pre">128)',</span> <span class="pre">num_data=1,</span> <span class="pre">num_params=2,</span> <span class="pre">num_outputs=1,</span> <span class="pre">name='fc1')</span></code>.
-To use Torch’s criterion as loss functions, you can replace the last line with:</p>
-<div class="highlight-python"><div class="highlight"><pre><span></span> <span class="n">logsoftmax</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">TorchModule</span><span class="p">(</span><span class="n">data_0</span><span class="o">=</span><span class="n">fc3</span><span class="p">,</span> <span class="n">lua_string</span><span class="o">=</span><span class="s1">'nn.LogSoftMax()'</s [...]
- <span class="c1"># Torch's label starts from 1</span>
- <span class="n">label</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="s1">'softmax_label'</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span>
- <span class="n">mlp</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">symbol</span><span class="o">.</span><span class="n">TorchCriterion</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">logsoftmax</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="n">label</span><span class="p">,</span> <span class="n">lua_string</span><span class="o">=</span><s [...]
-</pre></div>
-</div>
-<p>The input to the nn module is named data_i for i = 0 ... num_data-1. <code class="docutils literal"><span class="pre">lua_string</span></code> is a single Lua statement that creates the module object.
-For Torch’s built-in module, this is simply <code class="docutils literal"><span class="pre">nn.module_name(arguments)</span></code>.
-If you are using a custom module, place it in a .lua script file and load it with <code class="docutils literal"><span class="pre">require</span> <span class="pre">'module_file.lua'</span></code> if your script returns a torch.nn object, or <code class="docutils literal"><span class="pre">(require</span> <span class="pre">'module_file.lua')()</span></code> if your script returns a torch.nn class.</p>
-</div>
-</div>
-<div class="container">
-<div class="footer">
-<p> </p>
-</div>
-</div>
-</div>
-<div aria-label="main navigation" class="sphinxsidebar rightsidebar" role="navigation">
-<div class="sphinxsidebarwrapper">
-<h3><a href="../index.html">Table Of Contents</a></h3>
-<ul>
-<li><a class="reference internal" href="#">How to Use MXNet As an (Almost) Full-function Torch Front End</a><ul>
-<li><a class="reference internal" href="#compile-with-torch">Compile with Torch</a></li>
-<li><a class="reference internal" href="#tensor-mathematics">Tensor Mathematics</a></li>
-<li><a class="reference internal" href="#torch-modules-layers">Torch Modules (Layers)</a></li>
-</ul>
-</li>
-</ul>
-</div>
-</div>
-</div> <!-- pagename != index -->
-<script crossorigin="anonymous" integrity="sha384-0mSbJDEHialfmuBBQP6A4Qrprq5OVfW37PRR3j5ELqxss1yVqOtnepnHVP9aJ7xS" src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/js/bootstrap.min.js"></script>
-<script src="../_static/js/sidebar.js" type="text/javascript"></script>
-<script src="../_static/js/search.js" type="text/javascript"></script>
-<script src="../_static/js/navbar.js" type="text/javascript"></script>
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-<script type="text/javascript">
- $('body').ready(function () {
- $('body').css('visibility', 'visible');
- });
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-</div></body>
-</html>
diff --git a/versions/0.11.0/api/python/model.html b/versions/0.11.0/api/python/model.html
index fc1d124..ba1dc53 100644
--- a/versions/0.11.0/api/python/model.html
+++ b/versions/0.11.0/api/python/model.html
@@ -1966,7 +1966,7 @@ by <a class="reference internal" href="optimization.html#mxnet.optimizer.Optimiz
<dd><p>The Nesterov Adam optimizer.</p>
<p>Much like Adam is essentially RMSprop with momentum,
Nadam is Adam RMSprop with Nesterov momentum available
-at <a class="reference external" href="http://cs229.stanford.edu/proj2015/054_report.pdf">http://cs229.stanford.edu/proj2015/054_report.pdf</a>.</p>
+at <a class="reference external" href="https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ">https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ</a>.</p>
<p>This optimizer accepts the following parameters in addition to those accepted
by <a class="reference internal" href="optimization.html#mxnet.optimizer.Optimizer" title="mxnet.optimizer.Optimizer"><code class="xref py py-class docutils literal"><span class="pre">Optimizer</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
diff --git a/versions/0.11.0/api/python/optimization.html b/versions/0.11.0/api/python/optimization.html
index 52d6e1d..1abc12e 100644
--- a/versions/0.11.0/api/python/optimization.html
+++ b/versions/0.11.0/api/python/optimization.html
@@ -811,7 +811,7 @@ by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.
<dd><p>The Nesterov Adam optimizer.</p>
<p>Much like Adam is essentially RMSprop with momentum,
Nadam is Adam RMSprop with Nesterov momentum available
-at <a class="reference external" href="http://cs229.stanford.edu/proj2015/054_report.pdf">http://cs229.stanford.edu/proj2015/054_report.pdf</a>.</p>
+at <a class="reference external" href="https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ">https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ</a>.</p>
<p>This optimizer accepts the following parameters in addition to those accepted
by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.optimizer.Optimizer"><code class="xref py py-class docutils literal"><span class="pre">Optimizer</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
diff --git a/versions/0.11.0/how_to/develop_and_hack.html b/versions/0.11.0/how_to/develop_and_hack.html
index 7251e80..2872dcb 100644
--- a/versions/0.11.0/how_to/develop_and_hack.html
+++ b/versions/0.11.0/how_to/develop_and_hack.html
@@ -169,7 +169,6 @@
<div class="toctree-wrapper compound">
<ul>
<li class="toctree-l1"><a class="reference internal" href="new_op.html">Create new operators</a></li>
-<li class="toctree-l1"><a class="reference internal" href="torch.html">Use Torch from MXNet</a></li>
<li class="toctree-l1"><a class="reference internal" href="env_var.html">Set environment variables of MXNet</a></li>
</ul>
</div>
diff --git a/versions/0.11.0/how_to/index.html b/versions/0.11.0/how_to/index.html
index 7b39bce..237cafc 100644
--- a/versions/0.11.0/how_to/index.html
+++ b/versions/0.11.0/how_to/index.html
@@ -188,7 +188,6 @@
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/community/contribute.html">How do I contribute a patch to MXNet?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/new_op.html">How do I create new operators in MXNet?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/env_var.html">How do I set MXNet’s environmental variables?</a></li>
-<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/torch.html">How do I use MXNet as a front end for Torch?</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#questions-about-using-mxnet">Questions about Using MXNet</a></li>
@@ -251,7 +250,6 @@ and full working examples, visit the <a class="reference internal" href="../tuto
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/community/contribute.html">How do I contribute a patch to MXNet?</a></li>
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/new_op.html">How do I create new operators in MXNet?</a></li>
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/env_var.html">How do I set MXNet’s environmental variables?</a></li>
-<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/torch.html">How do I use MXNet as a front end for Torch?</a></li>
</ul>
</div>
</div>
diff --git a/versions/0.12.0/api/python/model.html b/versions/0.12.0/api/python/model.html
index 1fbcaa5..c998ee6 100644
--- a/versions/0.12.0/api/python/model.html
+++ b/versions/0.12.0/api/python/model.html
@@ -2170,7 +2170,7 @@ by <a class="reference internal" href="optimization/optimization.html#mxnet.opti
<dd><p>The Nesterov Adam optimizer.</p>
<p>Much like Adam is essentially RMSprop with momentum,
Nadam is Adam RMSprop with Nesterov momentum available
-at <a class="reference external" href="http://cs229.stanford.edu/proj2015/054_report.pdf">http://cs229.stanford.edu/proj2015/054_report.pdf</a>.</p>
+at <a class="reference external" href="https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ">https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ</a>.</p>
<p>This optimizer accepts the following parameters in addition to those accepted
by <a class="reference internal" href="optimization/optimization.html#mxnet.optimizer.Optimizer" title="mxnet.optimizer.Optimizer"><code class="xref py py-class docutils literal"><span class="pre">Optimizer</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
diff --git a/versions/0.12.0/api/python/optimization.html b/versions/0.12.0/api/python/optimization.html
index 800d05f..b057f0c 100644
--- a/versions/0.12.0/api/python/optimization.html
+++ b/versions/0.12.0/api/python/optimization.html
@@ -811,7 +811,7 @@ by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.
<dd><p>The Nesterov Adam optimizer.</p>
<p>Much like Adam is essentially RMSprop with momentum,
Nadam is Adam RMSprop with Nesterov momentum available
-at <a class="reference external" href="http://cs229.stanford.edu/proj2015/054_report.pdf">http://cs229.stanford.edu/proj2015/054_report.pdf</a>.</p>
+at <a class="reference external" href="https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ">https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ</a>.</p>
<p>This optimizer accepts the following parameters in addition to those accepted
by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.optimizer.Optimizer"><code class="xref py py-class docutils literal"><span class="pre">Optimizer</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
diff --git a/versions/0.12.0/api/python/optimization/optimization.html b/versions/0.12.0/api/python/optimization/optimization.html
index 75e4df5..3d761c1 100644
--- a/versions/0.12.0/api/python/optimization/optimization.html
+++ b/versions/0.12.0/api/python/optimization/optimization.html
@@ -961,7 +961,7 @@ by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.
<dd><p>The Nesterov Adam optimizer.</p>
<p>Much like Adam is essentially RMSprop with momentum,
Nadam is Adam RMSprop with Nesterov momentum available
-at <a class="reference external" href="http://cs229.stanford.edu/proj2015/054_report.pdf">http://cs229.stanford.edu/proj2015/054_report.pdf</a>.</p>
+at <a class="reference external" href="https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ">https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ</a>.</p>
<p>This optimizer accepts the following parameters in addition to those accepted
by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.optimizer.Optimizer"><code class="xref py py-class docutils literal"><span class="pre">Optimizer</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
diff --git a/versions/0.12.0/faq/develop_and_hack.html b/versions/0.12.0/faq/develop_and_hack.html
index e1aa782..8393f57 100644
--- a/versions/0.12.0/faq/develop_and_hack.html
+++ b/versions/0.12.0/faq/develop_and_hack.html
@@ -207,7 +207,6 @@
<div class="toctree-wrapper compound">
<ul>
<li class="toctree-l1"><a class="reference internal" href="new_op.html">Create new operators</a></li>
-<li class="toctree-l1"><a class="reference internal" href="torch.html">Use Torch from MXNet</a></li>
<li class="toctree-l1"><a class="reference internal" href="env_var.html">Set environment variables of MXNet</a></li>
</ul>
</div>
diff --git a/versions/0.12.0/faq/index.html b/versions/0.12.0/faq/index.html
index 40e9495..8c997b1 100644
--- a/versions/0.12.0/faq/index.html
+++ b/versions/0.12.0/faq/index.html
@@ -225,7 +225,6 @@
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/add_op_in_backend.html">How do I implement operators in MXNet backend?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/new_op.html">How do I create new operators in MXNet?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/env_var.html">How do I set MXNet’s environmental variables?</a></li>
-<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/torch.html">How do I use MXNet as a front end for Torch?</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#questions-about-using-mxnet">Questions about Using MXNet</a></li>
@@ -291,7 +290,6 @@ and full working examples, visit the <a class="reference internal" href="../tuto
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/add_op_in_backend.html">How do I implement operators in MXNet backend?</a></li>
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/new_op.html">How do I create new operators in MXNet?</a></li>
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/env_var.html">How do I set MXNet’s environmental variables?</a></li>
-<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/torch.html">How do I use MXNet as a front end for Torch?</a></li>
</ul>
</div>
</div>
diff --git a/versions/0.12.0/how_to/develop_and_hack.html b/versions/0.12.0/how_to/develop_and_hack.html
index 267c647..cd3b98b 100644
--- a/versions/0.12.0/how_to/develop_and_hack.html
+++ b/versions/0.12.0/how_to/develop_and_hack.html
@@ -169,7 +169,6 @@
<div class="toctree-wrapper compound">
<ul>
<li class="toctree-l1"><a class="reference internal" href="new_op.html">Create new operators</a></li>
-<li class="toctree-l1"><a class="reference internal" href="torch.html">Use Torch from MXNet</a></li>
<li class="toctree-l1"><a class="reference internal" href="env_var.html">Set environment variables of MXNet</a></li>
</ul>
</div>
diff --git a/versions/0.12.0/how_to/index.html b/versions/0.12.0/how_to/index.html
index de6c925..7a75c63 100644
--- a/versions/0.12.0/how_to/index.html
+++ b/versions/0.12.0/how_to/index.html
@@ -188,7 +188,6 @@
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/community/contribute.html">How do I contribute a patch to MXNet?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/new_op.html">How do I create new operators in MXNet?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/env_var.html">How do I set MXNet’s environmental variables?</a></li>
-<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/torch.html">How do I use MXNet as a front end for Torch?</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#questions-about-using-mxnet">Questions about Using MXNet</a></li>
@@ -251,7 +250,6 @@ and full working examples, visit the <a class="reference internal" href="../tuto
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/community/contribute.html">How do I contribute a patch to MXNet?</a></li>
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/new_op.html">How do I create new operators in MXNet?</a></li>
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/env_var.html">How do I set MXNet’s environmental variables?</a></li>
-<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/torch.html">How do I use MXNet as a front end for Torch?</a></li>
</ul>
</div>
</div>
diff --git a/versions/0.12.1/api/python/model.html b/versions/0.12.1/api/python/model.html
index d9efe56..73e8bce 100644
--- a/versions/0.12.1/api/python/model.html
+++ b/versions/0.12.1/api/python/model.html
@@ -2170,7 +2170,7 @@ by <a class="reference internal" href="optimization/optimization.html#mxnet.opti
<dd><p>The Nesterov Adam optimizer.</p>
<p>Much like Adam is essentially RMSprop with momentum,
Nadam is Adam RMSprop with Nesterov momentum available
-at <a class="reference external" href="http://cs229.stanford.edu/proj2015/054_report.pdf">http://cs229.stanford.edu/proj2015/054_report.pdf</a>.</p>
+at <a class="reference external" href="https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ">https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ</a>.</p>
<p>This optimizer accepts the following parameters in addition to those accepted
by <a class="reference internal" href="optimization/optimization.html#mxnet.optimizer.Optimizer" title="mxnet.optimizer.Optimizer"><code class="xref py py-class docutils literal"><span class="pre">Optimizer</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
diff --git a/versions/0.12.1/api/python/optimization.html b/versions/0.12.1/api/python/optimization.html
index 3e6c6ae..ee20509 100644
--- a/versions/0.12.1/api/python/optimization.html
+++ b/versions/0.12.1/api/python/optimization.html
@@ -811,7 +811,7 @@ by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.
<dd><p>The Nesterov Adam optimizer.</p>
<p>Much like Adam is essentially RMSprop with momentum,
Nadam is Adam RMSprop with Nesterov momentum available
-at <a class="reference external" href="http://cs229.stanford.edu/proj2015/054_report.pdf">http://cs229.stanford.edu/proj2015/054_report.pdf</a>.</p>
+at <a class="reference external" href="https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ">https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ</a>.</p>
<p>This optimizer accepts the following parameters in addition to those accepted
by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.optimizer.Optimizer"><code class="xref py py-class docutils literal"><span class="pre">Optimizer</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
diff --git a/versions/0.12.1/api/python/optimization/optimization.html b/versions/0.12.1/api/python/optimization/optimization.html
index b619578..e6e50a6 100644
--- a/versions/0.12.1/api/python/optimization/optimization.html
+++ b/versions/0.12.1/api/python/optimization/optimization.html
@@ -961,7 +961,7 @@ by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.
<dd><p>The Nesterov Adam optimizer.</p>
<p>Much like Adam is essentially RMSprop with momentum,
Nadam is Adam RMSprop with Nesterov momentum available
-at <a class="reference external" href="http://cs229.stanford.edu/proj2015/054_report.pdf">http://cs229.stanford.edu/proj2015/054_report.pdf</a>.</p>
+at <a class="reference external" href="https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ">https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ</a>.</p>
<p>This optimizer accepts the following parameters in addition to those accepted
by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.optimizer.Optimizer"><code class="xref py py-class docutils literal"><span class="pre">Optimizer</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
diff --git a/versions/0.12.1/faq/develop_and_hack.html b/versions/0.12.1/faq/develop_and_hack.html
index 3380cbf..c156f09 100644
--- a/versions/0.12.1/faq/develop_and_hack.html
+++ b/versions/0.12.1/faq/develop_and_hack.html
@@ -207,7 +207,6 @@
<div class="toctree-wrapper compound">
<ul>
<li class="toctree-l1"><a class="reference internal" href="new_op.html">Create new operators</a></li>
-<li class="toctree-l1"><a class="reference internal" href="torch.html">Use Torch from MXNet</a></li>
<li class="toctree-l1"><a class="reference internal" href="env_var.html">Set environment variables of MXNet</a></li>
</ul>
</div>
diff --git a/versions/0.12.1/faq/index.html b/versions/0.12.1/faq/index.html
index a500ff3..b44be60 100644
--- a/versions/0.12.1/faq/index.html
+++ b/versions/0.12.1/faq/index.html
@@ -225,7 +225,6 @@
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/add_op_in_backend.html">How do I implement operators in MXNet backend?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/new_op.html">How do I create new operators in MXNet?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/env_var.html">How do I set MXNet’s environmental variables?</a></li>
-<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/torch.html">How do I use MXNet as a front end for Torch?</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#questions-about-using-mxnet">Questions about Using MXNet</a></li>
@@ -291,7 +290,6 @@ and full working examples, visit the <a class="reference internal" href="../tuto
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/add_op_in_backend.html">How do I implement operators in MXNet backend?</a></li>
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/new_op.html">How do I create new operators in MXNet?</a></li>
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/env_var.html">How do I set MXNet’s environmental variables?</a></li>
-<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/torch.html">How do I use MXNet as a front end for Torch?</a></li>
</ul>
</div>
</div>
diff --git a/versions/0.12.1/how_to/develop_and_hack.html b/versions/0.12.1/how_to/develop_and_hack.html
index abb1e38..ffe4f1b 100644
--- a/versions/0.12.1/how_to/develop_and_hack.html
+++ b/versions/0.12.1/how_to/develop_and_hack.html
@@ -169,7 +169,6 @@
<div class="toctree-wrapper compound">
<ul>
<li class="toctree-l1"><a class="reference internal" href="new_op.html">Create new operators</a></li>
-<li class="toctree-l1"><a class="reference internal" href="torch.html">Use Torch from MXNet</a></li>
<li class="toctree-l1"><a class="reference internal" href="env_var.html">Set environment variables of MXNet</a></li>
</ul>
</div>
diff --git a/versions/0.12.1/how_to/index.html b/versions/0.12.1/how_to/index.html
index c7b49a4..ac83695 100644
--- a/versions/0.12.1/how_to/index.html
+++ b/versions/0.12.1/how_to/index.html
@@ -188,7 +188,6 @@
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/community/contribute.html">How do I contribute a patch to MXNet?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/new_op.html">How do I create new operators in MXNet?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/env_var.html">How do I set MXNet’s environmental variables?</a></li>
-<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/torch.html">How do I use MXNet as a front end for Torch?</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#questions-about-using-mxnet">Questions about Using MXNet</a></li>
@@ -251,7 +250,6 @@ and full working examples, visit the <a class="reference internal" href="../tuto
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/community/contribute.html">How do I contribute a patch to MXNet?</a></li>
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/new_op.html">How do I create new operators in MXNet?</a></li>
<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/env_var.html">How do I set MXNet’s environmental variables?</a></li>
-<li class="toctree-l1"><a class="reference external" href="https://mxnet.incubator.apache.org/how_to/torch.html">How do I use MXNet as a front end for Torch?</a></li>
</ul>
</div>
</div>
diff --git a/versions/master/_modules/mxnet/optimizer.html b/versions/master/_modules/mxnet/optimizer.html
index daee3d9..aca10f1 100644
--- a/versions/master/_modules/mxnet/optimizer.html
+++ b/versions/master/_modules/mxnet/optimizer.html
@@ -1381,7 +1381,7 @@
<span class="sd"> Much like Adam is essentially RMSprop with momentum,</span>
<span class="sd"> Nadam is Adam RMSprop with Nesterov momentum available</span>
-<span class="sd"> at http://cs229.stanford.edu/proj2015/054_report.pdf.</span>
+<span class="sd"> at https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ.</span>
<span class="sd"> This optimizer accepts the following parameters in addition to those accepted</span>
<span class="sd"> by :class:`.Optimizer`.</span>
diff --git a/versions/master/api/python/model.html b/versions/master/api/python/model.html
index 496a3b9..40404c7 100644
--- a/versions/master/api/python/model.html
+++ b/versions/master/api/python/model.html
@@ -2238,7 +2238,7 @@ by <a class="reference internal" href="optimization/optimization.html#mxnet.opti
<dd><p>The Nesterov Adam optimizer.</p>
<p>Much like Adam is essentially RMSprop with momentum,
Nadam is Adam RMSprop with Nesterov momentum available
-at <a class="reference external" href="http://cs229.stanford.edu/proj2015/054_report.pdf">http://cs229.stanford.edu/proj2015/054_report.pdf</a>.</p>
+at <a class="reference external" href="https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ">https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ</a>.</p>
<p>This optimizer accepts the following parameters in addition to those accepted
by <a class="reference internal" href="optimization/optimization.html#mxnet.optimizer.Optimizer" title="mxnet.optimizer.Optimizer"><code class="xref py py-class docutils literal"><span class="pre">Optimizer</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
diff --git a/versions/master/api/python/optimization.html b/versions/master/api/python/optimization.html
index d0a5c53..5fd057d 100644
--- a/versions/master/api/python/optimization.html
+++ b/versions/master/api/python/optimization.html
@@ -863,7 +863,7 @@ by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.
<dd><p>The Nesterov Adam optimizer.</p>
<p>Much like Adam is essentially RMSprop with momentum,
Nadam is Adam RMSprop with Nesterov momentum available
-at <a class="reference external" href="http://cs229.stanford.edu/proj2015/054_report.pdf">http://cs229.stanford.edu/proj2015/054_report.pdf</a>.</p>
+at <a class="reference external" href="https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ">https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ</a>.</p>
<p>This optimizer accepts the following parameters in addition to those accepted
by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.optimizer.Optimizer"><code class="xref py py-class docutils literal"><span class="pre">Optimizer</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
diff --git a/versions/master/api/python/optimization/optimization.html b/versions/master/api/python/optimization/optimization.html
index 4683430..4abd9b5 100644
--- a/versions/master/api/python/optimization/optimization.html
+++ b/versions/master/api/python/optimization/optimization.html
@@ -1029,7 +1029,7 @@ by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.
<dd><p>The Nesterov Adam optimizer.</p>
<p>Much like Adam is essentially RMSprop with momentum,
Nadam is Adam RMSprop with Nesterov momentum available
-at <a class="reference external" href="http://cs229.stanford.edu/proj2015/054_report.pdf">http://cs229.stanford.edu/proj2015/054_report.pdf</a>.</p>
+at <a class="reference external" href="https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ">https://openreview.net/pdf?id=OM0jvwB8jIp57ZJjtNEZ</a>.</p>
<p>This optimizer accepts the following parameters in addition to those accepted
by <a class="reference internal" href="#mxnet.optimizer.Optimizer" title="mxnet.optimizer.Optimizer"><code class="xref py py-class docutils literal"><span class="pre">Optimizer</span></code></a>.</p>
<table class="docutils field-list" frame="void" rules="none">
diff --git a/versions/master/how_to/develop_and_hack.html b/versions/master/how_to/develop_and_hack.html
index 3b09fd2..1597351 100644
--- a/versions/master/how_to/develop_and_hack.html
+++ b/versions/master/how_to/develop_and_hack.html
@@ -198,7 +198,6 @@
<div class="toctree-wrapper compound">
<ul>
<li class="toctree-l1"><a class="reference internal" href="new_op.html">Create new operators</a></li>
-<li class="toctree-l1"><a class="reference internal" href="torch.html">Use Torch from MXNet</a></li>
<li class="toctree-l1"><a class="reference internal" href="env_var.html">Set environment variables of MXNet</a></li>
</ul>
</div>
diff --git a/versions/master/how_to/index.html b/versions/master/how_to/index.html
index 9720ea4..eba1795 100644
--- a/versions/master/how_to/index.html
+++ b/versions/master/how_to/index.html
@@ -215,7 +215,6 @@
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/versions/master/community/contribute.html">How do I contribute a patch to MXNet?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/versions/master/how_to/new_op.html">How do I create new operators in MXNet?</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/versions/master/how_to/env_var.html">How do I set MXNet’s environmental variables?</a></li>
-<li class="toctree-l3"><a class="reference external" href="https://mxnet.incubator.apache.org/versions/master/how_to/torch.html">How do I use MXNet as a front end for Torch?</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#questions-about-using-mxnet">Questions about Using MXNet</a></li>
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