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new f7917f5 Publish triggered by CI
f7917f5 is described below
commit f7917f598ecd55291a69aad5949232f3117073cb
Author: mxnet-ci <mxnet-ci>
AuthorDate: Sun Aug 23 12:43:38 2020 +0000
Publish triggered by CI
---
api/python/docs/api/np/arrays.indexing.html | 8 +++---
api/python/docs/api/np/arrays.ndarray.html | 22 ++++++++--------
.../docs/api/np/generated/mxnet.np.ndarray.html | 28 ++++++++++-----------
.../api/np/generated/mxnet.np.ndarray.take.html | 4 +--
.../docs/api/np/generated/mxnet.np.nonzero.html | 2 +-
.../docs/api/np/generated/mxnet.np.reshape.html | 2 +-
api/python/docs/objects.inv | Bin 93309 -> 93352 bytes
api/python/docs/searchindex.js | 2 +-
date.txt | 1 -
feed.xml | 2 +-
10 files changed, 35 insertions(+), 36 deletions(-)
diff --git a/api/python/docs/api/np/arrays.indexing.html
b/api/python/docs/api/np/arrays.indexing.html
index 55c071d..cd42535 100644
--- a/api/python/docs/api/np/arrays.indexing.html
+++ b/api/python/docs/api/np/arrays.indexing.html
@@ -1454,7 +1454,7 @@ shape (10,2,3,4,30) because the (20,)-shaped subspace has
been
replaced with a (2,3,4)-shaped broadcasted indexing subspace. If
we let <em>i, j, k</em> loop over the (2,3,4)-shaped subspace then
<code class="docutils literal notranslate"><span
class="pre">result[...,i,j,k,:]</span> <span class="pre">=</span> <span
class="pre">x[...,ind[i,j,k],:]</span></code>. This example
-produces the same result as <a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.take"
title="mxnet.np.ndarray.take"><code class="xref py py-meth docutils literal
notranslate"><span class="pre">x.take(ind,</span> <span
class="pre">axis=-2)</span></code></a>.</p>
+produces the same result as <a class="reference internal"
href="generated/mxnet.np.ndarray.take.html#mxnet.np.ndarray.take"
title="mxnet.np.ndarray.take"><code class="xref py py-meth docutils literal
notranslate"><span class="pre">x.take(ind,</span> <span
class="pre">axis=-2)</span></code></a>.</p>
</div>
<div class="admonition-example admonition">
<p class="admonition-title">Example</p>
@@ -1466,7 +1466,7 @@ and <code class="docutils literal notranslate"><span
class="pre">ind_2</span></c
<code class="docutils literal notranslate"><span
class="pre">x[:,ind_1,:,ind_2]</span></code> has shape (2,3,4,10,30,50) because
there
is no unambiguous place to drop in the indexing subspace, thus
it is tacked-on to the beginning. It is always possible to use
-<a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.transpose"
title="mxnet.np.ndarray.transpose"><code class="xref py py-meth docutils
literal notranslate"><span class="pre">.transpose()</span></code></a> to move
the subspace
+<a class="reference internal"
href="generated/mxnet.np.ndarray.transpose.html#mxnet.np.ndarray.transpose"
title="mxnet.np.ndarray.transpose"><code class="xref py py-meth docutils
literal notranslate"><span class="pre">.transpose()</span></code></a> to move
the subspace
anywhere desired. Note that this example cannot be replicated
using <code class="xref py py-func docutils literal notranslate"><span
class="pre">take()</span></code>.</p>
</div>
@@ -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.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
+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
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 829695b..665da0a 100644
--- a/api/python/docs/api/np/arrays.ndarray.html
+++ b/api/python/docs/api/np/arrays.ndarray.html
@@ -1375,7 +1375,7 @@ of the array:</p>
<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.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.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>
<td><p>Number of array dimensions.</p></td>
</tr>
<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>
@@ -1496,13 +1496,13 @@ 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.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.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>
<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>
+<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.transpose.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>
<td><p>Permute the dimensions of an array.</p></td>
</tr>
-<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>
+<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.swapaxes.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.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>
@@ -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.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.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>
<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>
+<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.take.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.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.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>
<td><p>Repeat elements of an array.</p></td>
</tr>
</tbody>
@@ -1620,7 +1620,7 @@ be performed.</p>
<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.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.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>
<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>
@@ -1629,19 +1629,19 @@ be performed.</p>
<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>
<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>
+<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.sum.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.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.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.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>
<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.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>
+<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.var.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.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>
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 388c4fb..6585b70 100644
--- a/api/python/docs/api/np/generated/mxnet.np.ndarray.html
+++ b/api/python/docs/api/np/generated/mxnet.np.ndarray.html
@@ -1462,7 +1462,7 @@ methods and attributes of an array.</p>
<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" 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.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>
<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" 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.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>
<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" 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.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>
<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" 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.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>
<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" 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.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>
<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>
@@ -1588,14 +1588,14 @@ methods and attributes of an array.</p>
<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>
+<tr class="row-odd"><td><p><a class="reference internal"
href="mxnet.np.ndarray.sum.html#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>
<td><p>Return the sum of the array elements over the given axis.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.swapaxes" title="mxnet.np.ndarray.swapaxes"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">swapaxes</span></code></a>(axis1, axis2)</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="mxnet.np.ndarray.swapaxes.html#mxnet.np.ndarray.swapaxes"
title="mxnet.np.ndarray.swapaxes"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">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-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.take" title="mxnet.np.ndarray.take"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">take</span></code></a>(indices[, axis, mode])</p></td>
-<td><p>Convenience fluent method for <a class="reference internal"
href="#mxnet.np.ndarray.take" title="mxnet.np.ndarray.take"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">take()</span></code></a>.</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="mxnet.np.ndarray.take.html#mxnet.np.ndarray.take"
title="mxnet.np.ndarray.take"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">take</span></code></a>(indices[, axis,
mode])</p></td>
+<td><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.ndarray.take.html#mxnet.np.ndarray.take"
title="mxnet.np.ndarray.take"><code class="xref py py-func docutils literal
notranslate"><span class="pre">take()</span></code></a>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.tan" title="mxnet.np.ndarray.tan"><code class="xref py
py-obj docutils literal notranslate"><span
class="pre">tan</span></code></a>(*args, **kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.tan.html#mxnet.np.tan" title="mxnet.np.tan"><code class="xref py
py-func docutils literal notranslate"><span
class="pre">tan()</span></code></a>.</p></td>
@@ -1621,13 +1621,13 @@ methods and attributes of an array.</p>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.tostype" title="mxnet.np.ndarray.tostype"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">tostype</span></code></a>(stype)</p></td>
<td><p>Return a copy of the array with chosen storage type.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.transpose" title="mxnet.np.ndarray.transpose"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">transpose</span></code></a>(*axes)</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="mxnet.np.ndarray.transpose.html#mxnet.np.ndarray.transpose"
title="mxnet.np.ndarray.transpose"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">transpose</span></code></a>(*axes)</p></td>
<td><p>Permute the dimensions of an array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.trunc" title="mxnet.np.ndarray.trunc"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">trunc</span></code></a>(*args, **kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.trunc.html#mxnet.np.trunc" title="mxnet.np.trunc"><code
class="xref py py-func docutils literal notranslate"><span
class="pre">trunc()</span></code></a>.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.var" title="mxnet.np.ndarray.var"><code class="xref py
py-obj docutils literal notranslate"><span
class="pre">var</span></code></a>([axis, dtype, out, ddof, keepdims])</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="mxnet.np.ndarray.var.html#mxnet.np.ndarray.var"
title="mxnet.np.ndarray.var"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">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><code class="xref py py-obj docutils literal
notranslate"><span class="pre">wait_to_read</span></code>()</p></td>
@@ -1663,7 +1663,7 @@ 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" 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.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>
<td><p>Number of array dimensions.</p></td>
</tr>
<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>
@@ -2765,8 +2765,8 @@ Refer to <cite>mxnet.numpy.swapaxes</cite> for full
documentation.</p>
<dl class="method">
<dt id="mxnet.np.ndarray.take">
<code class="sig-name descname">take</code><span class="sig-paren">(</span><em
class="sig-param">indices</em>, <em class="sig-param">axis=None</em>, <em
class="sig-param">mode='raise'</em><span class="sig-paren">)</span><a
class="headerlink" href="#mxnet.np.ndarray.take" title="Permalink to this
definition">¶</a></dt>
-<dd><p>Convenience fluent method for <a class="reference internal"
href="#mxnet.np.ndarray.take" title="mxnet.np.ndarray.take"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">take()</span></code></a>.</p>
-<p>The arguments are the same as for <a class="reference internal"
href="#mxnet.np.ndarray.take" title="mxnet.np.ndarray.take"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">take()</span></code></a>, with
+<dd><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.ndarray.take.html#mxnet.np.ndarray.take"
title="mxnet.np.ndarray.take"><code class="xref py py-func docutils literal
notranslate"><span class="pre">take()</span></code></a>.</p>
+<p>The arguments are the same as for <a class="reference internal"
href="mxnet.np.ndarray.take.html#mxnet.np.ndarray.take"
title="mxnet.np.ndarray.take"><code class="xref py py-func docutils literal
notranslate"><span class="pre">take()</span></code></a>, with
this array as data.</p>
</dd></dl>
diff --git a/api/python/docs/api/np/generated/mxnet.np.ndarray.take.html
b/api/python/docs/api/np/generated/mxnet.np.ndarray.take.html
index 9bfb0c6..770affa 100644
--- a/api/python/docs/api/np/generated/mxnet.np.ndarray.take.html
+++ b/api/python/docs/api/np/generated/mxnet.np.ndarray.take.html
@@ -1201,8 +1201,8 @@ Show Source
<dl class="method">
<dt id="mxnet.np.ndarray.take">
<code class="sig-prename descclassname">ndarray.</code><code class="sig-name
descname">take</code><span class="sig-paren">(</span><em
class="sig-param">indices</em>, <em class="sig-param">axis=None</em>, <em
class="sig-param">mode='raise'</em><span class="sig-paren">)</span><a
class="headerlink" href="#mxnet.np.ndarray.take" title="Permalink to this
definition">¶</a></dt>
-<dd><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.ndarray.html#mxnet.np.ndarray.take"
title="mxnet.np.ndarray.take"><code class="xref py py-func docutils literal
notranslate"><span class="pre">take()</span></code></a>.</p>
-<p>The arguments are the same as for <a class="reference internal"
href="mxnet.np.ndarray.html#mxnet.np.ndarray.take"
title="mxnet.np.ndarray.take"><code class="xref py py-func docutils literal
notranslate"><span class="pre">take()</span></code></a>, with
+<dd><p>Convenience fluent method for <a class="reference internal"
href="#mxnet.np.ndarray.take" title="mxnet.np.ndarray.take"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">take()</span></code></a>.</p>
+<p>The arguments are the same as for <a class="reference internal"
href="#mxnet.np.ndarray.take" title="mxnet.np.ndarray.take"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">take()</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 ab9e166..09bc010 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.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.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>
</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 5df70c2..96e4e4c 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.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.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>
</dd>
</dl>
</div>
diff --git a/api/python/docs/objects.inv b/api/python/docs/objects.inv
index 77ba1e9..2b6b8d35 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 65125ae..19a66b2 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 e4e7a15..0000000
--- a/date.txt
+++ /dev/null
@@ -1 +0,0 @@
-Sun Aug 23 06:44:10 UTC 2020
diff --git a/feed.xml b/feed.xml
index 004a5c2..50ef6ec 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>2020-08-23T06:34:40+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>2020-08-23T12:34:14+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
