This is an automated email from the ASF dual-hosted git repository.

aaronmarkham 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 14e5b88  Publish triggered by CI
14e5b88 is described below

commit 14e5b88e56e64013fcf67d16f626bfcb63fd4625
Author: mxnet-ci <mxnet-ci>
AuthorDate: Mon Sep 14 06:46:19 2020 +0000

    Publish triggered by CI
---
 api/python/docs/api/np/arrays.ndarray.html          |  10 +++++-----
 .../docs/api/np/generated/mxnet.np.ndarray.html     |  12 ++++++------
 api/python/docs/objects.inv                         | Bin 93121 -> 93157 bytes
 api/python/docs/searchindex.js                      |   2 +-
 date.txt                                            |   1 -
 feed.xml                                            |   2 +-
 6 files changed, 13 insertions(+), 14 deletions(-)

diff --git a/api/python/docs/api/np/arrays.ndarray.html 
b/api/python/docs/api/np/arrays.ndarray.html
index f25dd8d..d956394 100644
--- a/api/python/docs/api/np/arrays.ndarray.html
+++ b/api/python/docs/api/np/arrays.ndarray.html
@@ -1461,13 +1461,13 @@ more complete description.)</p>
 <tr class="row-odd"><td><p><a class="reference internal" 
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.item" 
title="mxnet.np.ndarray.item"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">ndarray.item</span></code></a>(*args)</p></td>
 <td><p>Copy an element of an array to a standard Python scalar and return 
it.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" 
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.copy" 
title="mxnet.np.ndarray.copy"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">ndarray.copy</span></code></a>([order])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" 
href="generated/mxnet.np.ndarray.copy.html#mxnet.np.ndarray.copy" 
title="mxnet.np.ndarray.copy"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">ndarray.copy</span></code></a>([order])</p></td>
 <td><p>Return a coyp of the array, keeping the same context.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" 
href="generated/mxnet.np.ndarray.tolist.html#mxnet.np.ndarray.tolist" 
title="mxnet.np.ndarray.tolist"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">ndarray.tolist</span></code></a>()</p></td>
 <td><p></p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" 
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.astype" 
title="mxnet.np.ndarray.astype"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">ndarray.astype</span></code></a>(dtype[, order, 
casting, …])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" 
href="generated/mxnet.np.ndarray.astype.html#mxnet.np.ndarray.astype" 
title="mxnet.np.ndarray.astype"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">ndarray.astype</span></code></a>(dtype[, order, 
casting, …])</p></td>
 <td><p>Copy of the array, cast to a specified type.</p></td>
 </tr>
 </tbody>
@@ -1617,16 +1617,16 @@ be performed.</p>
 <tr class="row-odd"><td><p><a class="reference internal" 
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.max" 
title="mxnet.np.ndarray.max"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">ndarray.max</span></code></a>([axis, out, 
keepdims])</p></td>
 <td><p>Return the maximum along a given axis.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" 
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.argmax" 
title="mxnet.np.ndarray.argmax"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">ndarray.argmax</span></code></a>([axis, 
out])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" 
href="generated/mxnet.np.ndarray.argmax.html#mxnet.np.ndarray.argmax" 
title="mxnet.np.ndarray.argmax"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">ndarray.argmax</span></code></a>([axis, 
out])</p></td>
 <td><p>Return indices of the maximum values along the given axis.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" 
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.min" 
title="mxnet.np.ndarray.min"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">ndarray.min</span></code></a>([axis, out, 
keepdims])</p></td>
 <td><p>Convenience fluent method for <a class="reference internal" 
href="generated/mxnet.np.min.html#mxnet.np.min" title="mxnet.np.min"><code 
class="xref py py-func docutils literal notranslate"><span 
class="pre">min()</span></code></a>.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" 
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.argmin" 
title="mxnet.np.ndarray.argmin"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">ndarray.argmin</span></code></a>([axis, 
out])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" 
href="generated/mxnet.np.ndarray.argmin.html#mxnet.np.ndarray.argmin" 
title="mxnet.np.ndarray.argmin"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">ndarray.argmin</span></code></a>([axis, 
out])</p></td>
 <td><p>Return indices of the minium values along the given axis.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" 
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.clip" 
title="mxnet.np.ndarray.clip"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">ndarray.clip</span></code></a>([min, max, 
out])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" 
href="generated/mxnet.np.ndarray.clip.html#mxnet.np.ndarray.clip" 
title="mxnet.np.ndarray.clip"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">ndarray.clip</span></code></a>([min, max, 
out])</p></td>
 <td><p>Return an array whose values are limited to [min, max].</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" 
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.sum" 
title="mxnet.np.ndarray.sum"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">ndarray.sum</span></code></a>([axis, dtype, out, 
keepdims])</p></td>
diff --git a/api/python/docs/api/np/generated/mxnet.np.ndarray.html 
b/api/python/docs/api/np/generated/mxnet.np.ndarray.html
index 5cec6d2..61c993f 100644
--- a/api/python/docs/api/np/generated/mxnet.np.ndarray.html
+++ b/api/python/docs/api/np/generated/mxnet.np.ndarray.html
@@ -1330,16 +1330,16 @@ methods and attributes of an array.</p>
 <tr class="row-even"><td><p><a class="reference internal" 
href="#mxnet.np.ndarray.arctanh" title="mxnet.np.ndarray.arctanh"><code 
class="xref py py-obj docutils literal notranslate"><span 
class="pre">arctanh</span></code></a>(*args, **kwargs)</p></td>
 <td><p>Convenience fluent method for <a class="reference internal" 
href="mxnet.np.arctanh.html#mxnet.np.arctanh" title="mxnet.np.arctanh"><code 
class="xref py py-func docutils literal notranslate"><span 
class="pre">arctanh()</span></code></a>.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" 
href="#mxnet.np.ndarray.argmax" title="mxnet.np.ndarray.argmax"><code 
class="xref py py-obj docutils literal notranslate"><span 
class="pre">argmax</span></code></a>([axis, out])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" 
href="mxnet.np.ndarray.argmax.html#mxnet.np.ndarray.argmax" 
title="mxnet.np.ndarray.argmax"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">argmax</span></code></a>([axis, out])</p></td>
 <td><p>Return indices of the maximum values along the given axis.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" 
href="#mxnet.np.ndarray.argmax_channel" 
title="mxnet.np.ndarray.argmax_channel"><code class="xref py py-obj docutils 
literal notranslate"><span class="pre">argmax_channel</span></code></a>(*args, 
**kwargs)</p></td>
 <td><p>Convenience fluent method for <a class="reference internal" 
href="#mxnet.np.ndarray.argmax_channel" 
title="mxnet.np.ndarray.argmax_channel"><code class="xref py py-func docutils 
literal notranslate"><span 
class="pre">argmax_channel()</span></code></a>.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" 
href="#mxnet.np.ndarray.argmin" title="mxnet.np.ndarray.argmin"><code 
class="xref py py-obj docutils literal notranslate"><span 
class="pre">argmin</span></code></a>([axis, out])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" 
href="mxnet.np.ndarray.argmin.html#mxnet.np.ndarray.argmin" 
title="mxnet.np.ndarray.argmin"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">argmin</span></code></a>([axis, out])</p></td>
 <td><p>Return indices of the minium values along the given axis.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" 
href="#mxnet.np.ndarray.argsort" title="mxnet.np.ndarray.argsort"><code 
class="xref py py-obj docutils literal notranslate"><span 
class="pre">argsort</span></code></a>([axis, kind, order])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" 
href="mxnet.np.ndarray.argsort.html#mxnet.np.ndarray.argsort" 
title="mxnet.np.ndarray.argsort"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">argsort</span></code></a>([axis, kind, 
order])</p></td>
 <td><p>Convenience fluent method for <a class="reference internal" 
href="mxnet.np.argsort.html#mxnet.np.argsort" title="mxnet.np.argsort"><code 
class="xref py py-func docutils literal notranslate"><span 
class="pre">argsort()</span></code></a>.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" 
href="#mxnet.np.ndarray.as_in_context" 
title="mxnet.np.ndarray.as_in_context"><code class="xref py py-obj docutils 
literal notranslate"><span 
class="pre">as_in_context</span></code></a>(context)</p></td>
@@ -1360,7 +1360,7 @@ methods and attributes of an array.</p>
 <tr class="row-even"><td><p><a class="reference internal" 
href="#mxnet.np.ndarray.asscalar" title="mxnet.np.ndarray.asscalar"><code 
class="xref py py-obj docutils literal notranslate"><span 
class="pre">asscalar</span></code></a>()</p></td>
 <td><p>Returns a scalar whose value is copied from this array.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" 
href="#mxnet.np.ndarray.astype" title="mxnet.np.ndarray.astype"><code 
class="xref py py-obj docutils literal notranslate"><span 
class="pre">astype</span></code></a>(dtype[, order, casting, subok, 
copy])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" 
href="mxnet.np.ndarray.astype.html#mxnet.np.ndarray.astype" 
title="mxnet.np.ndarray.astype"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">astype</span></code></a>(dtype[, order, casting, 
subok, copy])</p></td>
 <td><p>Copy of the array, cast to a specified type.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" 
href="#mxnet.np.ndarray.attach_grad" title="mxnet.np.ndarray.attach_grad"><code 
class="xref py py-obj docutils literal notranslate"><span 
class="pre">attach_grad</span></code></a>([grad_req])</p></td>
@@ -1384,10 +1384,10 @@ methods and attributes of an array.</p>
 <tr class="row-even"><td><p><a class="reference internal" 
href="#mxnet.np.ndarray.ceil" title="mxnet.np.ndarray.ceil"><code class="xref 
py py-obj docutils literal notranslate"><span 
class="pre">ceil</span></code></a>(*args, **kwargs)</p></td>
 <td><p>Convenience fluent method for <a class="reference internal" 
href="mxnet.np.ceil.html#mxnet.np.ceil" title="mxnet.np.ceil"><code class="xref 
py py-func docutils literal notranslate"><span 
class="pre">ceil()</span></code></a>.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" 
href="#mxnet.np.ndarray.clip" title="mxnet.np.ndarray.clip"><code class="xref 
py py-obj docutils literal notranslate"><span 
class="pre">clip</span></code></a>([min, max, out])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" 
href="mxnet.np.ndarray.clip.html#mxnet.np.ndarray.clip" 
title="mxnet.np.ndarray.clip"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">clip</span></code></a>([min, max, out])</p></td>
 <td><p>Return an array whose values are limited to [min, max].</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" 
href="#mxnet.np.ndarray.copy" title="mxnet.np.ndarray.copy"><code class="xref 
py py-obj docutils literal notranslate"><span 
class="pre">copy</span></code></a>([order])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" 
href="mxnet.np.ndarray.copy.html#mxnet.np.ndarray.copy" 
title="mxnet.np.ndarray.copy"><code class="xref py py-obj docutils literal 
notranslate"><span class="pre">copy</span></code></a>([order])</p></td>
 <td><p>Return a coyp of the array, keeping the same context.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" 
href="#mxnet.np.ndarray.copyto" title="mxnet.np.ndarray.copyto"><code 
class="xref py py-obj docutils literal notranslate"><span 
class="pre">copyto</span></code></a>(other)</p></td>
diff --git a/api/python/docs/objects.inv b/api/python/docs/objects.inv
index 5a05b64..0446986 100644
Binary files a/api/python/docs/objects.inv and b/api/python/docs/objects.inv 
differ
diff --git a/api/python/docs/searchindex.js b/api/python/docs/searchindex.js
index edfdea9..cf4f34f 100644
--- a/api/python/docs/searchindex.js
+++ b/api/python/docs/searchindex.js
@@ -1 +1 @@
-Search.setIndex({docnames:["api/autograd/index","api/context/index","api/contrib/autograd/index","api/contrib/index","api/contrib/io/index","api/contrib/ndarray/index","api/contrib/onnx/index","api/contrib/quantization/index","api/contrib/symbol/index","api/contrib/tensorboard/index","api/contrib/tensorrt/index","api/contrib/text/index","api/engine/index","api/executor/index","api/gluon/block","api/gluon/constant","api/gluon/contrib/index","api/gluon/data/index","api/gluon/data/vision/da
 [...]
\ No newline at end of file
+Search.setIndex({docnames:["api/autograd/index","api/context/index","api/contrib/autograd/index","api/contrib/index","api/contrib/io/index","api/contrib/ndarray/index","api/contrib/onnx/index","api/contrib/quantization/index","api/contrib/symbol/index","api/contrib/tensorboard/index","api/contrib/tensorrt/index","api/contrib/text/index","api/engine/index","api/executor/index","api/gluon/block","api/gluon/constant","api/gluon/contrib/index","api/gluon/data/index","api/gluon/data/vision/da
 [...]
\ No newline at end of file
diff --git a/date.txt b/date.txt
deleted file mode 100644
index 824386e..0000000
--- a/date.txt
+++ /dev/null
@@ -1 +0,0 @@
-Mon Sep 14 00:45:58 UTC 2020
diff --git a/feed.xml b/feed.xml
index ff8f35c..5dc1d0b 100644
--- a/feed.xml
+++ b/feed.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8"?><feed 
xmlns="http://www.w3.org/2005/Atom"; ><generator uri="https://jekyllrb.com/"; 
version="4.0.0">Jekyll</generator><link 
href="https://mxnet.apache.org/feed.xml"; rel="self" type="application/atom+xml" 
/><link href="https://mxnet.apache.org/"; rel="alternate" type="text/html" 
/><updated>2020-09-14T00:33:38+00:00</updated><id>https://mxnet.apache.org/feed.xml</id><title
 type="html">Apache MXNet</title><subtitle>A flexible and efficient library for 
deep [...]
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8"?><feed 
xmlns="http://www.w3.org/2005/Atom"; ><generator uri="https://jekyllrb.com/"; 
version="4.0.0">Jekyll</generator><link 
href="https://mxnet.apache.org/feed.xml"; rel="self" type="application/atom+xml" 
/><link href="https://mxnet.apache.org/"; rel="alternate" type="text/html" 
/><updated>2020-09-14T06:36:01+00:00</updated><id>https://mxnet.apache.org/feed.xml</id><title
 type="html">Apache MXNet</title><subtitle>A flexible and efficient library for 
deep [...]
\ No newline at end of file

Reply via email to