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new c08d19c Publish triggered by CI
c08d19c is described below
commit c08d19c57d987d4ea130ae1a3d0ebb33e9d89476
Author: mxnet-ci <mxnet-ci>
AuthorDate: Mon Aug 24 18:44:24 2020 +0000
Publish triggered by CI
---
api/python/docs/api/legacy/ndarray/ndarray.html | 2 +-
api/python/docs/api/legacy/ndarray/op/index.html | 2 +-
api/python/docs/api/legacy/symbol/op/index.html | 2 +-
api/python/docs/api/legacy/symbol/symbol.html | 2 +-
api/python/docs/api/np/arrays.indexing.html | 4 +--
api/python/docs/api/np/arrays.ndarray.html | 20 +++++++--------
.../docs/api/np/generated/mxnet.np.ndarray.html | 28 ++++++++++-----------
.../api/np/generated/mxnet.np.ndarray.take.html | 4 +--
.../api/npx/generated/mxnet.npx.leaky_relu.html | 2 +-
api/python/docs/objects.inv | Bin 93186 -> 93241 bytes
api/python/docs/searchindex.js | 2 +-
date.txt | 1 -
feed.xml | 2 +-
13 files changed, 35 insertions(+), 36 deletions(-)
diff --git a/api/python/docs/api/legacy/ndarray/ndarray.html
b/api/python/docs/api/legacy/ndarray/ndarray.html
index 444dc6c..4f9c38d 100644
--- a/api/python/docs/api/legacy/ndarray/ndarray.html
+++ b/api/python/docs/api/legacy/ndarray/ndarray.html
@@ -3337,7 +3337,7 @@ when the input is negative and has a slope of one when
input is positive.</p>
<em>[lower_bound, upper_bound)</em> for training, while fixed to be
<em>(lower_bound+upper_bound)/2</em> for inference.</p></li>
</ul>
-<p>Defined in /work/mxnet/src/operator/leaky_relu.cc:L162</p>
+<p>Defined in /work/mxnet/src/operator/leaky_relu.cc:L164</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
diff --git a/api/python/docs/api/legacy/ndarray/op/index.html
b/api/python/docs/api/legacy/ndarray/op/index.html
index 1b78d8f..b821dfc 100644
--- a/api/python/docs/api/legacy/ndarray/op/index.html
+++ b/api/python/docs/api/legacy/ndarray/op/index.html
@@ -3202,7 +3202,7 @@ when the input is negative and has a slope of one when
input is positive.</p>
<em>[lower_bound, upper_bound)</em> for training, while fixed to be
<em>(lower_bound+upper_bound)/2</em> for inference.</p></li>
</ul>
-<p>Defined in /work/mxnet/src/operator/leaky_relu.cc:L162</p>
+<p>Defined in /work/mxnet/src/operator/leaky_relu.cc:L164</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
diff --git a/api/python/docs/api/legacy/symbol/op/index.html
b/api/python/docs/api/legacy/symbol/op/index.html
index 135f9e5..f3b61d4 100644
--- a/api/python/docs/api/legacy/symbol/op/index.html
+++ b/api/python/docs/api/legacy/symbol/op/index.html
@@ -3160,7 +3160,7 @@ when the input is negative and has a slope of one when
input is positive.</p>
<em>[lower_bound, upper_bound)</em> for training, while fixed to be
<em>(lower_bound+upper_bound)/2</em> for inference.</p></li>
</ul>
-<p>Defined in /work/mxnet/src/operator/leaky_relu.cc:L162</p>
+<p>Defined in /work/mxnet/src/operator/leaky_relu.cc:L164</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
diff --git a/api/python/docs/api/legacy/symbol/symbol.html
b/api/python/docs/api/legacy/symbol/symbol.html
index 1e3d93c..3745667 100644
--- a/api/python/docs/api/legacy/symbol/symbol.html
+++ b/api/python/docs/api/legacy/symbol/symbol.html
@@ -3226,7 +3226,7 @@ when the input is negative and has a slope of one when
input is positive.</p>
<em>[lower_bound, upper_bound)</em> for training, while fixed to be
<em>(lower_bound+upper_bound)/2</em> for inference.</p></li>
</ul>
-<p>Defined in /work/mxnet/src/operator/leaky_relu.cc:L162</p>
+<p>Defined in /work/mxnet/src/operator/leaky_relu.cc:L164</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
diff --git a/api/python/docs/api/np/arrays.indexing.html
b/api/python/docs/api/np/arrays.indexing.html
index 55c071d..593ee92 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>
diff --git a/api/python/docs/api/np/arrays.ndarray.html
b/api/python/docs/api/np/arrays.ndarray.html
index 829695b..2d0432d 100644
--- a/api/python/docs/api/np/arrays.ndarray.html
+++ b/api/python/docs/api/np/arrays.ndarray.html
@@ -1461,13 +1461,13 @@ more complete description.)</p>
<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.item"
title="mxnet.np.ndarray.item"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.item</span></code></a>(*args)</p></td>
<td><p>Copy an element of an array to a standard Python scalar and return
it.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.copy"
title="mxnet.np.ndarray.copy"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.copy</span></code></a>([order])</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.copy.html#mxnet.np.ndarray.copy"
title="mxnet.np.ndarray.copy"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.copy</span></code></a>([order])</p></td>
<td><p>Return a coyp of the array, keeping the same context.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.tolist.html#mxnet.np.ndarray.tolist"
title="mxnet.np.ndarray.tolist"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.tolist</span></code></a>()</p></td>
<td><p></p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.astype"
title="mxnet.np.ndarray.astype"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.astype</span></code></a>(dtype[, order,
casting, …])</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.astype.html#mxnet.np.ndarray.astype"
title="mxnet.np.ndarray.astype"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.astype</span></code></a>(dtype[, order,
casting, …])</p></td>
<td><p>Copy of the array, cast to a specified type.</p></td>
</tr>
</tbody>
@@ -1499,10 +1499,10 @@ 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.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>
@@ -1533,7 +1533,7 @@ the operation should proceed.</p>
<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>
+<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>
@@ -1617,19 +1617,19 @@ be performed.</p>
<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.max"
title="mxnet.np.ndarray.max"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.max</span></code></a>([axis, out,
keepdims])</p></td>
<td><p>Return the maximum along a given axis.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.argmax"
title="mxnet.np.ndarray.argmax"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.argmax</span></code></a>([axis,
out])</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.argmax.html#mxnet.np.ndarray.argmax"
title="mxnet.np.ndarray.argmax"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.argmax</span></code></a>([axis,
out])</p></td>
<td><p>Return indices of the maximum values along the given axis.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.min"
title="mxnet.np.ndarray.min"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.min</span></code></a>([axis, out,
keepdims])</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="generated/mxnet.np.min.html#mxnet.np.min" title="mxnet.np.min"><code
class="xref py py-func docutils literal notranslate"><span
class="pre">min()</span></code></a>.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.argmin"
title="mxnet.np.ndarray.argmin"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.argmin</span></code></a>([axis,
out])</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.argmin.html#mxnet.np.ndarray.argmin"
title="mxnet.np.ndarray.argmin"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.argmin</span></code></a>([axis,
out])</p></td>
<td><p>Return indices of the minium values along the given axis.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.clip"
title="mxnet.np.ndarray.clip"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.clip</span></code></a>([min, max,
out])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.clip.html#mxnet.np.ndarray.clip"
title="mxnet.np.ndarray.clip"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.clip</span></code></a>([min, max,
out])</p></td>
<td><p>Return an array whose values are limited to [min, max].</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="generated/mxnet.np.ndarray.html#mxnet.np.ndarray.sum"
title="mxnet.np.ndarray.sum"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">ndarray.sum</span></code></a>([axis, dtype, out,
keepdims])</p></td>
+<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>
@@ -1641,7 +1641,7 @@ be performed.</p>
<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..3062365 100644
--- a/api/python/docs/api/np/generated/mxnet.np.ndarray.html
+++ b/api/python/docs/api/np/generated/mxnet.np.ndarray.html
@@ -1330,16 +1330,16 @@ methods and attributes of an array.</p>
<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.arctanh" title="mxnet.np.ndarray.arctanh"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">arctanh</span></code></a>(*args, **kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.arctanh.html#mxnet.np.arctanh" title="mxnet.np.arctanh"><code
class="xref py py-func docutils literal notranslate"><span
class="pre">arctanh()</span></code></a>.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.argmax" title="mxnet.np.ndarray.argmax"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">argmax</span></code></a>([axis, out])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="mxnet.np.ndarray.argmax.html#mxnet.np.ndarray.argmax"
title="mxnet.np.ndarray.argmax"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">argmax</span></code></a>([axis, out])</p></td>
<td><p>Return indices of the maximum values along the given axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.argmax_channel"
title="mxnet.np.ndarray.argmax_channel"><code class="xref py py-obj docutils
literal notranslate"><span class="pre">argmax_channel</span></code></a>(*args,
**kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="#mxnet.np.ndarray.argmax_channel"
title="mxnet.np.ndarray.argmax_channel"><code class="xref py py-func docutils
literal notranslate"><span
class="pre">argmax_channel()</span></code></a>.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.argmin" title="mxnet.np.ndarray.argmin"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">argmin</span></code></a>([axis, out])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="mxnet.np.ndarray.argmin.html#mxnet.np.ndarray.argmin"
title="mxnet.np.ndarray.argmin"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">argmin</span></code></a>([axis, out])</p></td>
<td><p>Return indices of the minium values along the given axis.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.argsort" title="mxnet.np.ndarray.argsort"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">argsort</span></code></a>([axis, kind, order])</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="mxnet.np.ndarray.argsort.html#mxnet.np.ndarray.argsort"
title="mxnet.np.ndarray.argsort"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">argsort</span></code></a>([axis, kind,
order])</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.argsort.html#mxnet.np.argsort" title="mxnet.np.argsort"><code
class="xref py py-func docutils literal notranslate"><span
class="pre">argsort()</span></code></a>.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.as_in_context"
title="mxnet.np.ndarray.as_in_context"><code class="xref py py-obj docutils
literal notranslate"><span
class="pre">as_in_context</span></code></a>(context)</p></td>
@@ -1360,7 +1360,7 @@ methods and attributes of an array.</p>
<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.asscalar" title="mxnet.np.ndarray.asscalar"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">asscalar</span></code></a>()</p></td>
<td><p>Returns a scalar whose value is copied from this array.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.astype" title="mxnet.np.ndarray.astype"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">astype</span></code></a>(dtype[, order, casting, subok,
copy])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="mxnet.np.ndarray.astype.html#mxnet.np.ndarray.astype"
title="mxnet.np.ndarray.astype"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">astype</span></code></a>(dtype[, order, casting,
subok, copy])</p></td>
<td><p>Copy of the array, cast to a specified type.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.attach_grad" title="mxnet.np.ndarray.attach_grad"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">attach_grad</span></code></a>([grad_req])</p></td>
@@ -1384,10 +1384,10 @@ methods and attributes of an array.</p>
<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.ceil" title="mxnet.np.ndarray.ceil"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">ceil</span></code></a>(*args, **kwargs)</p></td>
<td><p>Convenience fluent method for <a class="reference internal"
href="mxnet.np.ceil.html#mxnet.np.ceil" title="mxnet.np.ceil"><code class="xref
py py-func docutils literal notranslate"><span
class="pre">ceil()</span></code></a>.</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.clip" title="mxnet.np.ndarray.clip"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">clip</span></code></a>([min, max, out])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="mxnet.np.ndarray.clip.html#mxnet.np.ndarray.clip"
title="mxnet.np.ndarray.clip"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">clip</span></code></a>([min, max, out])</p></td>
<td><p>Return an array whose values are limited to [min, max].</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.copy" title="mxnet.np.ndarray.copy"><code class="xref
py py-obj docutils literal notranslate"><span
class="pre">copy</span></code></a>([order])</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="mxnet.np.ndarray.copy.html#mxnet.np.ndarray.copy"
title="mxnet.np.ndarray.copy"><code class="xref py py-obj docutils literal
notranslate"><span class="pre">copy</span></code></a>([order])</p></td>
<td><p>Return a coyp of the array, keeping the same context.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal"
href="#mxnet.np.ndarray.copyto" title="mxnet.np.ndarray.copyto"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">copyto</span></code></a>(other)</p></td>
@@ -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>
@@ -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/npx/generated/mxnet.npx.leaky_relu.html
b/api/python/docs/api/npx/generated/mxnet.npx.leaky_relu.html
index acb5204..a2539c5 100644
--- a/api/python/docs/api/npx/generated/mxnet.npx.leaky_relu.html
+++ b/api/python/docs/api/npx/generated/mxnet.npx.leaky_relu.html
@@ -1214,7 +1214,7 @@ when the input is negative and has a slope of one when
input is positive.</p>
<em>[lower_bound, upper_bound)</em> for training, while fixed to be
<em>(lower_bound+upper_bound)/2</em> for inference.</p></li>
</ul>
-<p>Defined in /work/mxnet/src/operator/leaky_relu.cc:L162</p>
+<p>Defined in /work/mxnet/src/operator/leaky_relu.cc:L164</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
diff --git a/api/python/docs/objects.inv b/api/python/docs/objects.inv
index a4dbd04..e378e02 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 63c596b..1f63d28 100644
--- a/api/python/docs/searchindex.js
+++ b/api/python/docs/searchindex.js
@@ -1 +1 @@
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[...]
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[...]
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diff --git a/date.txt b/date.txt
deleted file mode 100644
index 18e7320..0000000
--- a/date.txt
+++ /dev/null
@@ -1 +0,0 @@
-Mon Aug 24 12:45:48 UTC 2020
diff --git a/feed.xml b/feed.xml
index 0771ff6..4f5b249 100644
--- a/feed.xml
+++ b/feed.xml
@@ -1 +1 @@
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/><updated>2020-08-24T12:34:19+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 [...]
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