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new 9d71a40 Publish triggered by CI
9d71a40 is described below
commit 9d71a4034a9ee961f5e18d23846d28d162581bb3
Author: mxnet-ci <mxnet-ci>
AuthorDate: Wed Aug 19 06:43:55 2020 +0000
Publish triggered by CI
---
api/python/docs/api/np/arrays.indexing.html | 4 ++--
api/python/docs/api/np/arrays.ndarray.html | 26 ++++++++++-----------
.../docs/api/np/generated/mxnet.np.ndarray.html | 24 +++++++++----------
.../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 93358 -> 93309 bytes
api/python/docs/searchindex.js | 2 +-
date.txt | 1 -
feed.xml | 2 +-
10 files changed, 32 insertions(+), 33 deletions(-)
diff --git a/api/python/docs/api/np/arrays.indexing.html
b/api/python/docs/api/np/arrays.indexing.html
index 5ae5cb6..5af2392 100644
--- a/api/python/docs/api/np/arrays.indexing.html
+++ b/api/python/docs/api/np/arrays.indexing.html
@@ -1475,8 +1475,8 @@ 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 4bd819c1..1742c39 100644
--- a/api/python/docs/api/np/arrays.ndarray.html
+++ b/api/python/docs/api/np/arrays.ndarray.html
@@ -1373,7 +1373,7 @@ 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.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.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>
@@ -1397,14 +1397,14 @@ 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>
@@ -1456,7 +1456,7 @@ 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>
@@ -1494,7 +1494,7 @@ 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>
@@ -1503,7 +1503,7 @@ 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.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>
@@ -1528,13 +1528,13 @@ 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>
@@ -1612,13 +1612,13 @@ 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>
@@ -1630,13 +1630,13 @@ 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>
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 660dc74..9265f4c 100644
--- a/api/python/docs/api/np/generated/mxnet.np.ndarray.html
+++ b/api/python/docs/api/np/generated/mxnet.np.ndarray.html
@@ -1397,7 +1397,7 @@ 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>
@@ -1427,7 +1427,7 @@ 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>
@@ -1436,7 +1436,7 @@ 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>
@@ -1454,13 +1454,13 @@ 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>
@@ -1469,7 +1469,7 @@ 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>
@@ -1487,7 +1487,7 @@ 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>
@@ -1502,10 +1502,10 @@ 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>
@@ -1652,7 +1652,7 @@ 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>
@@ -1661,7 +1661,7 @@ 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.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" title="mxnet.np.ndarray.shape"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">shape</span></code></a></p></td>
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 806039e..1d66e14 100644
--- a/api/python/docs/api/np/generated/mxnet.np.nonzero.html
+++ b/api/python/docs/api/np/generated/mxnet.np.nonzero.html
@@ -1214,7 +1214,7 @@ 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 0369f31..b3a6f27 100644
--- a/api/python/docs/api/np/generated/mxnet.np.reshape.html
+++ b/api/python/docs/api/np/generated/mxnet.np.reshape.html
@@ -1230,7 +1230,7 @@ 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 06d93d1..3ee7bc6 100644
--- a/api/python/docs/api/np/routines.array-manipulation.html
+++ b/api/python/docs/api/np/routines.array-manipulation.html
@@ -1223,7 +1223,7 @@ 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 bc56a76..77ba1e9 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 f6d102b..f064533 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 f428f6e..0000000
--- a/date.txt
+++ /dev/null
@@ -1 +0,0 @@
-Wed Aug 19 00:47:56 UTC 2020
diff --git a/feed.xml b/feed.xml
index 90bf5a0..0502be6 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>2020-08-19T00:34:23+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>2020-08-19T06:34:45+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
