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new 2c0dd03 Publish triggered by CI
2c0dd03 is described below
commit 2c0dd03d1d5b8dc839d1463721ad4af61b3860d5
Author: mxnet-ci <mxnet-ci>
AuthorDate: Thu Aug 27 00:44:44 2020 +0000
Publish triggered by CI
---
api/python/docs/api/np/arrays.indexing.html | 4 +-
api/python/docs/api/np/arrays.ndarray.html | 38 +++++++++----------
.../docs/api/np/generated/mxnet.np.lexsort.html | 2 +-
.../docs/api/np/generated/mxnet.np.ndarray.html | 42 ++++++++++-----------
.../api/np/generated/mxnet.np.ndarray.round.html | 4 +-
.../docs/api/np/generated/mxnet.np.nonzero.html | 2 +-
.../docs/api/np/generated/mxnet.np.reshape.html | 2 +-
.../docs/api/np/routines.array-manipulation.html | 2 +-
api/python/docs/objects.inv | Bin 93259 -> 93186 bytes
api/python/docs/searchindex.js | 2 +-
date.txt | 1 -
feed.xml | 2 +-
12 files changed, 50 insertions(+), 51 deletions(-)
diff --git a/api/python/docs/api/np/arrays.indexing.html
b/api/python/docs/api/np/arrays.indexing.html
index c15e592..55c071d 100644
--- a/api/python/docs/api/np/arrays.indexing.html
+++ b/api/python/docs/api/np/arrays.indexing.html
@@ -1477,8 +1477,8 @@ using <code class="xref py py-func docutils literal
notranslate"><span class="pr
<p>This advanced indexing occurs when obj is an array object of Boolean
type, such as may be returned from comparison operators. A single
boolean index array is practically identical to <code class="docutils literal
notranslate"><span class="pre">x[obj.nonzero()]</span></code> where,
-as described above, <a class="reference internal"
href="generated/mxnet.np.ndarray.nonzero.html#mxnet.np.ndarray.nonzero"
title="mxnet.np.ndarray.nonzero"><code class="xref py py-meth docutils literal
notranslate"><span class="pre">obj.nonzero()</span></code></a> returns a
-tuple (of length <a class="reference internal"
href="generated/mxnet.np.ndarray.ndim.html#mxnet.np.ndarray.ndim"
title="mxnet.np.ndarray.ndim"><code class="xref py py-attr docutils literal
notranslate"><span class="pre">obj.ndim</span></code></a>) of integer index
+as described above, <a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.nonzero"
title="mxnet.np.ndarray.nonzero"><code class="xref py py-meth docutils literal
notranslate"><span class="pre">obj.nonzero()</span></code></a> returns a
+tuple (of length <a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.ndim"
title="mxnet.np.ndarray.ndim"><code class="xref py py-attr docutils literal
notranslate"><span class="pre">obj.ndim</span></code></a>) of integer index
arrays showing the <code class="xref py py-const docutils literal
notranslate"><span class="pre">True</span></code> elements of <em>obj</em>.
However, it is
faster when <code class="docutils literal notranslate"><span
class="pre">obj.shape</span> <span class="pre">==</span> <span
class="pre">x.shape</span></code>.</p>
<p>If <code class="docutils literal notranslate"><span
class="pre">obj.ndim</span> <span class="pre">==</span> <span
class="pre">x.ndim</span></code>, <code class="docutils literal
notranslate"><span class="pre">x[obj]</span></code> returns a 1-dimensional
array
diff --git a/api/python/docs/api/np/arrays.ndarray.html
b/api/python/docs/api/np/arrays.ndarray.html
index 2feafad..829695b 100644
--- a/api/python/docs/api/np/arrays.ndarray.html
+++ b/api/python/docs/api/np/arrays.ndarray.html
@@ -1199,7 +1199,7 @@ Show Source
<span id="arrays-ndarray"></span><h1>The N-dimensional array (<code
class="xref py py-class docutils literal notranslate"><span
class="pre">ndarray</span></code>)<a class="headerlink"
href="#the-n-dimensional-array-ndarray" title="Permalink to this
headline">¶</a></h1>
<p>An <a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray"
title="mxnet.np.ndarray"><code class="xref py py-class docutils literal
notranslate"><span class="pre">ndarray</span></code></a> is a (usually
fixed-size) multidimensional
container of items of the same type and size. The number of dimensions
-and items in an array is defined by its <a class="reference internal"
href="generated/mxnet.np.ndarray.shape.html#mxnet.np.ndarray.shape"
title="mxnet.np.ndarray.shape"><code class="xref py py-attr docutils literal
notranslate"><span class="pre">shape</span></code></a>,
+and items in an array is defined by its <a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.shape"
title="mxnet.np.ndarray.shape"><code class="xref py py-attr docutils literal
notranslate"><span class="pre">shape</span></code></a>,
which is a <code class="xref py py-class docutils literal notranslate"><span
class="pre">tuple</span></code> of <em>N</em> non-negative integers that
specify the
sizes of each dimension. The type of items in the array is specified by
a separate <span class="xref std std-ref">data-type object (dtype)</span>, one
of which
@@ -1275,7 +1275,7 @@ fields in a <span class="xref std std-term">structured
data type</span>.</p>
one-dimensional segment of computer memory (owned by the array, or by
some other object), combined with an indexing scheme that maps <em>N</em>
integers into the location of an item in the block. The ranges in
-which the indices can vary is specified by the <a class="reference internal"
href="generated/mxnet.np.ndarray.shape.html#mxnet.np.ndarray.shape"
title="mxnet.np.ndarray.shape"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">shape</span></code></a> of the array. How many
bytes each item takes and how
+which the indices can vary is specified by the <a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.shape"
title="mxnet.np.ndarray.shape"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">shape</span></code></a> of the array. How many
bytes each item takes and how
the bytes are interpreted is defined by the <span class="xref std
std-ref">data-type object</span> associated with the array.</p>
<div class="admonition note" id="index-1">
<p class="admonition-title">Note</p>
@@ -1372,13 +1372,13 @@ of the array:</p>
<col style="width: 90%" />
</colgroup>
<tbody>
-<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.shape.html#mxnet.np.ndarray.shape"
title="mxnet.np.ndarray.shape"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.shape</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.shape"
title="mxnet.np.ndarray.shape"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.shape</span></code></a></p></td>
<td><p>Tuple of array dimensions.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.ndim.html#mxnet.np.ndarray.ndim"
title="mxnet.np.ndarray.ndim"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.ndim</span></code></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.ndim"
title="mxnet.np.ndarray.ndim"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.ndim</span></code></a></p></td>
<td><p>Number of array dimensions.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.size.html#mxnet.np.ndarray.size"
title="mxnet.np.ndarray.size"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.size</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.size"
title="mxnet.np.ndarray.size"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.size</span></code></a></p></td>
<td><p>Number of elements in the array.</p></td>
</tr>
</tbody>
@@ -1399,14 +1399,14 @@ of the array:</p>
<p><span class="xref std std-ref">Data type objects</span></p>
</div>
<p>The data type object associated with the array can be found in the
-<a class="reference internal"
href="generated/mxnet.np.ndarray.dtype.html#mxnet.np.ndarray.dtype"
title="mxnet.np.ndarray.dtype"><code class="xref py py-attr docutils literal
notranslate"><span class="pre">dtype</span></code></a> attribute:</p>
+<a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.dtype"
title="mxnet.np.ndarray.dtype"><code class="xref py py-attr docutils literal
notranslate"><span class="pre">dtype</span></code></a> attribute:</p>
<table class="longtable docutils align-default">
<colgroup>
<col style="width: 10%" />
<col style="width: 90%" />
</colgroup>
<tbody>
-<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.dtype.html#mxnet.np.ndarray.dtype"
title="mxnet.np.ndarray.dtype"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.dtype</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.dtype"
title="mxnet.np.ndarray.dtype"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.dtype</span></code></a></p></td>
<td><p>Data-type of the array’s elements.</p></td>
</tr>
</tbody>
@@ -1458,7 +1458,7 @@ more complete description.)</p>
<col style="width: 90%" />
</colgroup>
<tbody>
-<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.item.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>
+<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>
@@ -1496,7 +1496,7 @@ replaced with <code class="docutils literal
notranslate"><span class="pre">n</sp
<col style="width: 90%" />
</colgroup>
<tbody>
-<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.reshape.html#mxnet.np.ndarray.reshape"
title="mxnet.np.ndarray.reshape"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.reshape</span></code></a>(*args,
**kwargs)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.reshape"
title="mxnet.np.ndarray.reshape"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.reshape</span></code></a>(*args,
**kwargs)</p></td>
<td><p>Returns a copy of the array with a new shape.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.transpose"
title="mxnet.np.ndarray.transpose"><code class="xref py py-obj docutils literal
notranslate"><span
class="pre">ndarray.transpose</span></code></a>(*axes)</p></td>
@@ -1505,10 +1505,10 @@ replaced with <code class="docutils literal
notranslate"><span class="pre">n</sp
<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.swapaxes"
title="mxnet.np.ndarray.swapaxes"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.swapaxes</span></code></a>(axis1,
axis2)</p></td>
<td><p>Return a copy of the array with axis1 and axis2 interchanged.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.flatten.html#mxnet.np.ndarray.flatten"
title="mxnet.np.ndarray.flatten"><code class="xref py py-obj docutils literal
notranslate"><span
class="pre">ndarray.flatten</span></code></a>([order])</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.flatten"
title="mxnet.np.ndarray.flatten"><code class="xref py py-obj docutils literal
notranslate"><span
class="pre">ndarray.flatten</span></code></a>([order])</p></td>
<td><p>Return a copy of the array collapsed into one dimension.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.squeeze.html#mxnet.np.ndarray.squeeze"
title="mxnet.np.ndarray.squeeze"><code class="xref py py-obj docutils literal
notranslate"><span
class="pre">ndarray.squeeze</span></code></a>([axis])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.squeeze"
title="mxnet.np.ndarray.squeeze"><code class="xref py py-obj docutils literal
notranslate"><span
class="pre">ndarray.squeeze</span></code></a>([axis])</p></td>
<td><p>Remove single-dimensional entries from the shape of a.</p></td>
</tr>
</tbody>
@@ -1530,13 +1530,13 @@ the operation should proceed.</p>
<col style="width: 90%" />
</colgroup>
<tbody>
-<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.nonzero.html#mxnet.np.ndarray.nonzero"
title="mxnet.np.ndarray.nonzero"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.nonzero</span></code></a>()</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.nonzero"
title="mxnet.np.ndarray.nonzero"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.nonzero</span></code></a>()</p></td>
<td><p>Return the indices of the elements that are non-zero.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.take"
title="mxnet.np.ndarray.take"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.take</span></code></a>(indices[, axis,
mode])</p></td>
<td><p>Convenience fluent method for <code class="xref py py-func docutils
literal notranslate"><span class="pre">take()</span></code>.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.repeat.html#mxnet.np.ndarray.repeat"
title="mxnet.np.ndarray.repeat"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.repeat</span></code></a>(repeats[,
axis])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.repeat"
title="mxnet.np.ndarray.repeat"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.repeat</span></code></a>(repeats[,
axis])</p></td>
<td><p>Repeat elements of an array.</p></td>
</tr>
</tbody>
@@ -1614,13 +1614,13 @@ be performed.</p>
<col style="width: 90%" />
</colgroup>
<tbody>
-<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.max.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>
+<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>
<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.min.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>
+<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>
@@ -1632,19 +1632,19 @@ be performed.</p>
<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>
<td><p>Return the sum of the array elements over the given axis.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.mean.html#mxnet.np.ndarray.mean"
title="mxnet.np.ndarray.mean"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.mean</span></code></a>([axis, dtype,
out, keepdims])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.mean"
title="mxnet.np.ndarray.mean"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.mean</span></code></a>([axis, dtype,
out, keepdims])</p></td>
<td><p>Returns the average of the array elements along given axis.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.prod.html#mxnet.np.ndarray.prod"
title="mxnet.np.ndarray.prod"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.prod</span></code></a>([axis, dtype,
out, keepdims])</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.prod"
title="mxnet.np.ndarray.prod"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.prod</span></code></a>([axis, dtype,
out, keepdims])</p></td>
<td><p>Return the product of the array elements over the given axis.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.cumsum.html#mxnet.np.ndarray.cumsum"
title="mxnet.np.ndarray.cumsum"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.cumsum</span></code></a>([axis, dtype,
out])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.cumsum"
title="mxnet.np.ndarray.cumsum"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.cumsum</span></code></a>([axis, dtype,
out])</p></td>
<td><p>Return the cumulative sum of the elements along the given axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.var"
title="mxnet.np.ndarray.var"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.var</span></code></a>([axis, dtype, out,
ddof, keepdims])</p></td>
<td><p>Returns the variance of the array elements, along given axis.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.std.html#mxnet.np.ndarray.std"
title="mxnet.np.ndarray.std"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.std</span></code></a>([axis, dtype, out,
ddof, keepdims])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.std"
title="mxnet.np.ndarray.std"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.std</span></code></a>([axis, dtype, out,
ddof, keepdims])</p></td>
<td><p>Returns the standard deviation of the array elements along given
axis.</p></td>
</tr>
</tbody>
diff --git a/api/python/docs/api/np/generated/mxnet.np.lexsort.html
b/api/python/docs/api/np/generated/mxnet.np.lexsort.html
index 6dab12b..81f71aa 100644
--- a/api/python/docs/api/np/generated/mxnet.np.lexsort.html
+++ b/api/python/docs/api/np/generated/mxnet.np.lexsort.html
@@ -1224,7 +1224,7 @@ sorting is according to the last row, second last row
etc.</p>
<dl class="simple">
<dt><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></dt><dd><p>Indirect sort.</p>
</dd>
-<dt><a class="reference internal"
href="mxnet.np.ndarray.sort.html#mxnet.np.ndarray.sort"
title="mxnet.np.ndarray.sort"><code class="xref py py-func docutils literal
notranslate"><span
class="pre">ndarray.sort()</span></code></a></dt><dd><p>In-place sort.</p>
+<dt><a class="reference internal"
href="mxnet.np.ndarray.html#mxnet.np.ndarray.sort"
title="mxnet.np.ndarray.sort"><code class="xref py py-func docutils literal
notranslate"><span
class="pre">ndarray.sort()</span></code></a></dt><dd><p>In-place sort.</p>
</dd>
<dt><a class="reference internal" href="mxnet.np.sort.html#mxnet.np.sort"
title="mxnet.np.sort"><code class="xref py py-func docutils literal
notranslate"><span class="pre">sort()</span></code></a></dt><dd><p>Return a
sorted copy of an array.</p>
</dd>
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 cce4642..388c4fb 100644
--- a/api/python/docs/api/np/generated/mxnet.np.ndarray.html
+++ b/api/python/docs/api/np/generated/mxnet.np.ndarray.html
@@ -1399,7 +1399,7 @@ methods and attributes of an array.</p>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.cosh" title="mxnet.np.ndarray.cosh"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">cosh</span></code></a>(*args, **kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.cosh.html#mxnet.np.cosh" title="mxnet.np.cosh"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">cosh()</span></code></a>.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="mxnet.np.ndarray.cumsum.html#mxnet.np.ndarray.cumsum"
title="mxnet.np.ndarray.cumsum"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">cumsum</span></code></a>([axis, dtype,
out])</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.cumsum" title="mxnet.np.ndarray.cumsum"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">cumsum</span></code></a>([axis, dtype, out])</p></td>
<td><p>Return the cumulative sum of the elements along the given axis.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.degrees" title="mxnet.np.ndarray.degrees"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">degrees</span></code></a>(*args, **kwargs)</p></td>
@@ -1429,7 +1429,7 @@ methods and attributes of an array.</p>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.fix" title="mxnet.np.ndarray.fix"><code class="xref py
py-obj docutils literal notranslate"><span
class="pre">fix</span></code></a>(*args, **kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.fix.html#mxnet.np.fix" title="mxnet.np.fix"><code class="xref py
py-func docutils literal notranslate"><span
class="pre">fix()</span></code></a>.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="mxnet.np.ndarray.flatten.html#mxnet.np.ndarray.flatten"
title="mxnet.np.ndarray.flatten"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">flatten</span></code></a>([order])</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.flatten" title="mxnet.np.ndarray.flatten"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">flatten</span></code></a>([order])</p></td>
<td><p>Return a copy of the array collapsed into one dimension.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.flip" title="mxnet.np.ndarray.flip"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">flip</span></code></a>(*args, **kwargs)</p></td>
@@ -1438,7 +1438,7 @@ methods and attributes of an array.</p>
<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.floor" title="mxnet.np.ndarray.floor"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">floor</span></code></a>(*args, **kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.floor.html#mxnet.np.floor" title="mxnet.np.floor"><code
class="xref py py-func docutils literal notranslate"><span
class="pre">floor()</span></code></a>.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="mxnet.np.ndarray.item.html#mxnet.np.ndarray.item"
title="mxnet.np.ndarray.item"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">item</span></code></a>(*args)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.item" title="mxnet.np.ndarray.item"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">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="#mxnet.np.ndarray.log" title="mxnet.np.ndarray.log"><code class="xref py
py-obj docutils literal notranslate"><span
class="pre">log</span></code></a>(*args, **kwargs)</p></td>
@@ -1456,13 +1456,13 @@ methods and attributes of an array.</p>
<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.log_softmax" title="mxnet.np.ndarray.log_softmax"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">log_softmax</span></code></a>(*args, **kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="#mxnet.np.ndarray.log_softmax" title="mxnet.np.ndarray.log_softmax"><code
class="xref py py-func docutils literal notranslate"><span
class="pre">log_softmax()</span></code></a>.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="mxnet.np.ndarray.max.html#mxnet.np.ndarray.max"
title="mxnet.np.ndarray.max"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">max</span></code></a>([axis, out,
keepdims])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.max" title="mxnet.np.ndarray.max"><code class="xref py
py-obj docutils literal notranslate"><span
class="pre">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="mxnet.np.ndarray.mean.html#mxnet.np.ndarray.mean"
title="mxnet.np.ndarray.mean"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">mean</span></code></a>([axis, dtype, out,
keepdims])</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.mean" title="mxnet.np.ndarray.mean"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">mean</span></code></a>([axis, dtype, out, keepdims])</p></td>
<td><p>Returns the average of the array elements along given axis.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="mxnet.np.ndarray.min.html#mxnet.np.ndarray.min"
title="mxnet.np.ndarray.min"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">min</span></code></a>([axis, out,
keepdims])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.min" title="mxnet.np.ndarray.min"><code class="xref py
py-obj docutils literal notranslate"><span
class="pre">min</span></code></a>([axis, out, keepdims])</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="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="#mxnet.np.ndarray.nanprod" title="mxnet.np.ndarray.nanprod"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">nanprod</span></code></a>(*args, **kwargs)</p></td>
@@ -1471,7 +1471,7 @@ methods and attributes of an array.</p>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.nansum" title="mxnet.np.ndarray.nansum"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">nansum</span></code></a>(*args, **kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="#mxnet.np.ndarray.nansum" title="mxnet.np.ndarray.nansum"><code
class="xref py py-func docutils literal notranslate"><span
class="pre">nansum()</span></code></a>.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="mxnet.np.ndarray.nonzero.html#mxnet.np.ndarray.nonzero"
title="mxnet.np.ndarray.nonzero"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">nonzero</span></code></a>()</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.nonzero" title="mxnet.np.ndarray.nonzero"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">nonzero</span></code></a>()</p></td>
<td><p>Return the indices of the elements that are non-zero.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.norm" title="mxnet.np.ndarray.norm"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">norm</span></code></a>(*args, **kwargs)</p></td>
@@ -1489,7 +1489,7 @@ methods and attributes of an array.</p>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.pick" title="mxnet.np.ndarray.pick"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">pick</span></code></a>(*args, **kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="#mxnet.np.ndarray.pick" title="mxnet.np.ndarray.pick"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">pick()</span></code></a>.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="mxnet.np.ndarray.prod.html#mxnet.np.ndarray.prod"
title="mxnet.np.ndarray.prod"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">prod</span></code></a>([axis, dtype, out,
keepdims])</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.prod" title="mxnet.np.ndarray.prod"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">prod</span></code></a>([axis, dtype, out, keepdims])</p></td>
<td><p>Return the product of the array elements over the given axis.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.radians" title="mxnet.np.ndarray.radians"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">radians</span></code></a>(*args, **kwargs)</p></td>
@@ -1504,10 +1504,10 @@ methods and attributes of an array.</p>
<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.relu" title="mxnet.np.ndarray.relu"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">relu</span></code></a>(*args, **kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="#mxnet.np.ndarray.relu" title="mxnet.np.ndarray.relu"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">relu()</span></code></a>.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="mxnet.np.ndarray.repeat.html#mxnet.np.ndarray.repeat"
title="mxnet.np.ndarray.repeat"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">repeat</span></code></a>(repeats[,
axis])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.repeat" title="mxnet.np.ndarray.repeat"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">repeat</span></code></a>(repeats[, axis])</p></td>
<td><p>Repeat elements of an array.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="mxnet.np.ndarray.reshape.html#mxnet.np.ndarray.reshape"
title="mxnet.np.ndarray.reshape"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">reshape</span></code></a>(*args,
**kwargs)</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.reshape" title="mxnet.np.ndarray.reshape"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">reshape</span></code></a>(*args, **kwargs)</p></td>
<td><p>Returns a copy of the array with a new shape.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.reshape_like"
title="mxnet.np.ndarray.reshape_like"><code class="xref py py-obj docutils
literal notranslate"><span class="pre">reshape_like</span></code></a>(*args,
**kwargs)</p></td>
@@ -1519,8 +1519,8 @@ methods and attributes of an array.</p>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.rint" title="mxnet.np.ndarray.rint"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">rint</span></code></a>(*args, **kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.rint.html#mxnet.np.rint" title="mxnet.np.rint"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">rint()</span></code></a>.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="mxnet.np.ndarray.round.html#mxnet.np.ndarray.round"
title="mxnet.np.ndarray.round"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">round</span></code></a>([decimals, out])</p></td>
-<td><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.ndarray.round.html#mxnet.np.ndarray.round"
title="mxnet.np.ndarray.round"><code class="xref py py-func docutils literal
notranslate"><span class="pre">round()</span></code></a>.</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.round" title="mxnet.np.ndarray.round"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">round</span></code></a>([decimals, out])</p></td>
+<td><p>Convenience fluent method for <a class="reference internal"
href="#mxnet.np.ndarray.round" title="mxnet.np.ndarray.round"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">round()</span></code></a>.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.rsqrt" title="mxnet.np.ndarray.rsqrt"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">rsqrt</span></code></a>(*args, **kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="#mxnet.np.ndarray.rsqrt" title="mxnet.np.ndarray.rsqrt"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">rsqrt()</span></code></a>.</p></td>
@@ -1564,7 +1564,7 @@ methods and attributes of an array.</p>
<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.softmin" title="mxnet.np.ndarray.softmin"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">softmin</span></code></a>(*args, **kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="#mxnet.np.ndarray.softmin" title="mxnet.np.ndarray.softmin"><code
class="xref py py-func docutils literal notranslate"><span
class="pre">softmin()</span></code></a>.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="mxnet.np.ndarray.sort.html#mxnet.np.ndarray.sort"
title="mxnet.np.ndarray.sort"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">sort</span></code></a>([axis, kind,
order])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.sort" title="mxnet.np.ndarray.sort"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">sort</span></code></a>([axis, kind, order])</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.sort.html#mxnet.np.sort" title="mxnet.np.sort"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">sort()</span></code></a>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.space_to_depth"
title="mxnet.np.ndarray.space_to_depth"><code class="xref py py-obj docutils
literal notranslate"><span class="pre">space_to_depth</span></code></a>(*args,
**kwargs)</p></td>
@@ -1582,10 +1582,10 @@ methods and attributes of an array.</p>
<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.square" title="mxnet.np.ndarray.square"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">square</span></code></a>(*args, **kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.square.html#mxnet.np.square" title="mxnet.np.square"><code
class="xref py py-func docutils literal notranslate"><span
class="pre">square()</span></code></a>.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="mxnet.np.ndarray.squeeze.html#mxnet.np.ndarray.squeeze"
title="mxnet.np.ndarray.squeeze"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">squeeze</span></code></a>([axis])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.squeeze" title="mxnet.np.ndarray.squeeze"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">squeeze</span></code></a>([axis])</p></td>
<td><p>Remove single-dimensional entries from the shape of a.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="mxnet.np.ndarray.std.html#mxnet.np.ndarray.std"
title="mxnet.np.ndarray.std"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">std</span></code></a>([axis, dtype, out, ddof,
keepdims])</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.std" title="mxnet.np.ndarray.std"><code class="xref py
py-obj docutils literal notranslate"><span
class="pre">std</span></code></a>([axis, dtype, out, ddof, keepdims])</p></td>
<td><p>Returns the standard deviation of the array elements along given
axis.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.sum" title="mxnet.np.ndarray.sum"><code class="xref py
py-obj docutils literal notranslate"><span
class="pre">sum</span></code></a>([axis, dtype, out, keepdims])</p></td>
@@ -1654,7 +1654,7 @@ methods and attributes of an array.</p>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.ctx" title="mxnet.np.ndarray.ctx"><code class="xref py
py-obj docutils literal notranslate"><span
class="pre">ctx</span></code></a></p></td>
<td><p>Device context of the array.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="mxnet.np.ndarray.dtype.html#mxnet.np.ndarray.dtype"
title="mxnet.np.ndarray.dtype"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">dtype</span></code></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.dtype" title="mxnet.np.ndarray.dtype"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">dtype</span></code></a></p></td>
<td><p>Data-type of the array’s elements.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.grad" title="mxnet.np.ndarray.grad"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">grad</span></code></a></p></td>
@@ -1663,13 +1663,13 @@ methods and attributes of an array.</p>
<tr class="row-even"><td><p><code class="xref py py-obj docutils literal
notranslate"><span class="pre">handle</span></code></p></td>
<td><p></p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="mxnet.np.ndarray.ndim.html#mxnet.np.ndarray.ndim"
title="mxnet.np.ndarray.ndim"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndim</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.ndim" title="mxnet.np.ndarray.ndim"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">ndim</span></code></a></p></td>
<td><p>Number of array dimensions.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="mxnet.np.ndarray.shape.html#mxnet.np.ndarray.shape"
title="mxnet.np.ndarray.shape"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">shape</span></code></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.shape" title="mxnet.np.ndarray.shape"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">shape</span></code></a></p></td>
<td><p>Tuple of array dimensions.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="mxnet.np.ndarray.size.html#mxnet.np.ndarray.size"
title="mxnet.np.ndarray.size"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">size</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.size" title="mxnet.np.ndarray.size"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">size</span></code></a></p></td>
<td><p>Number of elements in the array.</p></td>
</tr>
<tr class="row-even"><td><p><code class="xref py py-obj docutils literal
notranslate"><span class="pre">stype</span></code></p></td>
@@ -2465,8 +2465,8 @@ this array as data.</p>
<dl class="method">
<dt id="mxnet.np.ndarray.round">
<code class="sig-name descname">round</code><span
class="sig-paren">(</span><em class="sig-param">decimals=0</em>, <em
class="sig-param">out=None</em>, <em class="sig-param">**kwargs</em><span
class="sig-paren">)</span><a class="headerlink" href="#mxnet.np.ndarray.round"
title="Permalink to this definition">¶</a></dt>
-<dd><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.ndarray.round.html#mxnet.np.ndarray.round"
title="mxnet.np.ndarray.round"><code class="xref py py-func docutils literal
notranslate"><span class="pre">round()</span></code></a>.</p>
-<p>The arguments are the same as for <a class="reference internal"
href="mxnet.np.ndarray.round.html#mxnet.np.ndarray.round"
title="mxnet.np.ndarray.round"><code class="xref py py-func docutils literal
notranslate"><span class="pre">round()</span></code></a>, with
+<dd><p>Convenience fluent method for <a class="reference internal"
href="#mxnet.np.ndarray.round" title="mxnet.np.ndarray.round"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">round()</span></code></a>.</p>
+<p>The arguments are the same as for <a class="reference internal"
href="#mxnet.np.ndarray.round" title="mxnet.np.ndarray.round"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">round()</span></code></a>, with
this array as data.</p>
</dd></dl>
diff --git a/api/python/docs/api/np/generated/mxnet.np.ndarray.round.html
b/api/python/docs/api/np/generated/mxnet.np.ndarray.round.html
index 9237510..8d616e9 100644
--- a/api/python/docs/api/np/generated/mxnet.np.ndarray.round.html
+++ b/api/python/docs/api/np/generated/mxnet.np.ndarray.round.html
@@ -1195,8 +1195,8 @@ Show Source
<dl class="method">
<dt id="mxnet.np.ndarray.round">
<code class="sig-prename descclassname">ndarray.</code><code class="sig-name
descname">round</code><span class="sig-paren">(</span><em
class="sig-param">decimals=0</em>, <em class="sig-param">out=None</em>, <em
class="sig-param">**kwargs</em><span class="sig-paren">)</span><a
class="headerlink" href="#mxnet.np.ndarray.round" title="Permalink to this
definition">¶</a></dt>
-<dd><p>Convenience fluent method for <a class="reference internal"
href="#mxnet.np.ndarray.round" title="mxnet.np.ndarray.round"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">round()</span></code></a>.</p>
-<p>The arguments are the same as for <a class="reference internal"
href="#mxnet.np.ndarray.round" title="mxnet.np.ndarray.round"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">round()</span></code></a>, with
+<dd><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.ndarray.html#mxnet.np.ndarray.round"
title="mxnet.np.ndarray.round"><code class="xref py py-func docutils literal
notranslate"><span class="pre">round()</span></code></a>.</p>
+<p>The arguments are the same as for <a class="reference internal"
href="mxnet.np.ndarray.html#mxnet.np.ndarray.round"
title="mxnet.np.ndarray.round"><code class="xref py py-func docutils literal
notranslate"><span class="pre">round()</span></code></a>, with
this array as data.</p>
</dd></dl>
diff --git a/api/python/docs/api/np/generated/mxnet.np.nonzero.html
b/api/python/docs/api/np/generated/mxnet.np.nonzero.html
index 09bc010..ab9e166 100644
--- a/api/python/docs/api/np/generated/mxnet.np.nonzero.html
+++ b/api/python/docs/api/np/generated/mxnet.np.nonzero.html
@@ -1216,7 +1216,7 @@ which returns a row for each non-zero element.</p>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<dl class="simple">
-<dt><a class="reference internal"
href="mxnet.np.ndarray.nonzero.html#mxnet.np.ndarray.nonzero"
title="mxnet.np.ndarray.nonzero"><code class="xref py py-func docutils literal
notranslate"><span
class="pre">ndarray.nonzero()</span></code></a></dt><dd><p>Equivalent ndarray
method.</p>
+<dt><a class="reference internal"
href="mxnet.np.ndarray.html#mxnet.np.ndarray.nonzero"
title="mxnet.np.ndarray.nonzero"><code class="xref py py-func docutils literal
notranslate"><span
class="pre">ndarray.nonzero()</span></code></a></dt><dd><p>Equivalent ndarray
method.</p>
</dd>
</dl>
</div>
diff --git a/api/python/docs/api/np/generated/mxnet.np.reshape.html
b/api/python/docs/api/np/generated/mxnet.np.reshape.html
index 96e4e4c..5df70c2 100644
--- a/api/python/docs/api/np/generated/mxnet.np.reshape.html
+++ b/api/python/docs/api/np/generated/mxnet.np.reshape.html
@@ -1232,7 +1232,7 @@ generated.</p>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<dl class="simple">
-<dt><a class="reference internal"
href="mxnet.np.ndarray.reshape.html#mxnet.np.ndarray.reshape"
title="mxnet.np.ndarray.reshape"><code class="xref py py-func docutils literal
notranslate"><span
class="pre">ndarray.reshape()</span></code></a></dt><dd><p>Equivalent
method.</p>
+<dt><a class="reference internal"
href="mxnet.np.ndarray.html#mxnet.np.ndarray.reshape"
title="mxnet.np.ndarray.reshape"><code class="xref py py-func docutils literal
notranslate"><span
class="pre">ndarray.reshape()</span></code></a></dt><dd><p>Equivalent
method.</p>
</dd>
</dl>
</div>
diff --git a/api/python/docs/api/np/routines.array-manipulation.html
b/api/python/docs/api/np/routines.array-manipulation.html
index b5dec95..8ab9132 100644
--- a/api/python/docs/api/np/routines.array-manipulation.html
+++ b/api/python/docs/api/np/routines.array-manipulation.html
@@ -1225,7 +1225,7 @@ Show Source
<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ravel.html#mxnet.np.ravel"
title="mxnet.np.ravel"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ravel</span></code></a>(x)</p></td>
<td><p>Return a contiguous flattened array.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.flatten.html#mxnet.np.ndarray.flatten"
title="mxnet.np.ndarray.flatten"><code class="xref py py-obj docutils literal
notranslate"><span
class="pre">ndarray.flatten</span></code></a>([order])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.flatten"
title="mxnet.np.ndarray.flatten"><code class="xref py py-obj docutils literal
notranslate"><span
class="pre">ndarray.flatten</span></code></a>([order])</p></td>
<td><p>Return a copy of the array collapsed into one dimension.</p></td>
</tr>
</tbody>
diff --git a/api/python/docs/objects.inv b/api/python/docs/objects.inv
index e0215ba..a4dbd04 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 cc4e00e..4b42870 100644
--- a/api/python/docs/searchindex.js
+++ b/api/python/docs/searchindex.js
@@ -1 +1 @@
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[...]
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+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
[...]
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diff --git a/date.txt b/date.txt
deleted file mode 100644
index c7b9a68..0000000
--- a/date.txt
+++ /dev/null
@@ -1 +0,0 @@
-Wed Aug 26 18:45:58 UTC 2020
diff --git a/feed.xml b/feed.xml
index d9b3a97..ab28715 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>2020-08-26T18:34:19+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
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/><link href="https://mxnet.apache.org/"; rel="alternate" type="text/html"
/><updated>2020-08-27T00:35:18+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
