Skip to content

Commit 89f7f5d

Browse files
impelment dpnp.std, dpnp.var and dpnp.nanvar (#1635)
* impelment dpnp.var and dpnp.std * implement dpnp.nanvar * support out keyword for dpnp.sum * add more tests * use replace_nan func for nanprod * address comments * update test_sum_empty_axis * address new comments * minor update * address remarks * remove uncalled raise 996cf54
1 parent 1d87295 commit 89f7f5d

File tree

474 files changed

+2668
-2793
lines changed

Some content is hidden

Large Commits have some content hidden by default. Use the searchbox below for content that may be hidden.

474 files changed

+2668
-2793
lines changed

.buildinfo

+1-1
Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
11
# Sphinx build info version 1
22
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
3-
config: 231a89b9dd9d18cefec2935ef6766b8a
3+
config: 97fecb7946d85bf7df10c56716a331b7
44
tags: 645f666f9bcd5a90fca523b33c5a78b7

_modules/dpnp/dpnp_array.html

+32-40
Original file line numberDiff line numberDiff line change
@@ -12,7 +12,7 @@
1212
</script>
1313

1414
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
15-
<title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.13.1dev1+20.gc35d8b6fda documentation</title>
15+
<title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.13.1dev1+17.g996cf5405e documentation</title>
1616
<link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
1717
<link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=19f00094" />
1818

@@ -23,7 +23,7 @@
2323

2424
<script src="../../_static/jquery.js?v=5d32c60e"></script>
2525
<script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
26-
<script src="../../_static/documentation_options.js?v=e64bcc3b"></script>
26+
<script src="../../_static/documentation_options.js?v=e2b28984"></script>
2727
<script src="../../_static/doctools.js?v=888ff710"></script>
2828
<script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
2929
<script src="../../_static/js/theme.js"></script>
@@ -43,7 +43,7 @@
4343
Data Parallel Extension for NumPy
4444
</a>
4545
<div class="version">
46-
0.13.1dev1+20.gc35d8b6fda
46+
0.13.1dev1+17.g996cf5405e
4747
</div>
4848
<div role="search">
4949
<form id="rtd-search-form" class="wy-form" action="../../search.html" method="get">
@@ -777,19 +777,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
777777
<span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">choose</span><span class="p">(</span><span class="nb">input</span><span class="p">,</span> <span class="n">choices</span><span class="p">,</span> <span class="n">out</span><span class="p">,</span> <span class="n">mode</span><span class="p">)</span></div>
778778

779779

780-
<div class="viewcode-block" id="dpnp_array.clip">
781-
<a class="viewcode-back" href="../../reference/generated/dpnp.dpnp_array.dpnp_array.html#dpnp.dpnp_array.dpnp_array.clip">[docs]</a>
782-
<span class="k">def</span> <span class="nf">clip</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">min</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="nb">max</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
783-
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
784-
<span class="sd"> Clip (limit) the values in an array.</span>
785-
786-
<span class="sd"> Refer to :obj:`dpnp.clip` for full documentation.</span>
787-
788-
<span class="sd"> &quot;&quot;&quot;</span>
789-
790-
<span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">min</span><span class="p">,</span> <span class="nb">max</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="n">out</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
791-
792-
780+
<span class="c1"># &#39;clip&#39;,</span>
793781
<span class="c1"># &#39;compress&#39;,</span>
794782

795783
<div class="viewcode-block" id="dpnp_array.conj">
@@ -1393,15 +1381,23 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
13931381

13941382
<div class="viewcode-block" id="dpnp_array.std">
13951383
<a class="viewcode-back" href="../../reference/generated/dpnp.dpnp_array.dpnp_array.html#dpnp.dpnp_array.dpnp_array.std">[docs]</a>
1396-
<span class="k">def</span> <span class="nf">std</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">keepdims</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
1397-
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Returns the variance of the array elements, along given axis.</span>
1398-
1399-
<span class="sd"> .. seealso::</span>
1400-
<span class="sd"> :obj:`dpnp.var` for full documentation,</span>
1384+
<span class="k">def</span> <span class="nf">std</span><span class="p">(</span>
1385+
<span class="bp">self</span><span class="p">,</span>
1386+
<span class="n">axis</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
1387+
<span class="n">dtype</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
1388+
<span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
1389+
<span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
1390+
<span class="n">keepdims</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
1391+
<span class="o">*</span><span class="p">,</span>
1392+
<span class="n">where</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
1393+
<span class="p">):</span>
1394+
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
1395+
<span class="sd"> Returns the standard deviation of the array elements, along given axis.</span>
14011396

1397+
<span class="sd"> Refer to :obj:`dpnp.std` for full documentation.</span>
14021398
<span class="sd"> &quot;&quot;&quot;</span>
14031399

1404-
<span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">axis</span><span class="p">,</span> <span class="n">dtype</span><span class="p">,</span> <span class="n">out</span><span class="p">,</span> <span class="n">ddof</span><span class="p">,</span> <span class="n">keepdims</span><span class="p">)</span></div>
1400+
<span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">axis</span><span class="p">,</span> <span class="n">dtype</span><span class="p">,</span> <span class="n">out</span><span class="p">,</span> <span class="n">ddof</span><span class="p">,</span> <span class="n">keepdims</span><span class="p">,</span> <span class="n">where</span><span class="o">=</span><span class="n">where</span><span class="p">)</span></div>
14051401

14061402

14071403
<span class="nd">@property</span>
@@ -1436,10 +1432,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
14361432
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
14371433
<span class="sd"> Returns the sum along a given axis.</span>
14381434

1439-
<span class="sd"> .. seealso::</span>
1440-
<span class="sd"> :obj:`dpnp.sum` for full documentation,</span>
1441-
<span class="sd"> :meth:`dpnp.dparray.sum`</span>
1442-
1435+
<span class="sd"> For full documentation refer to :obj:`dpnp.sum`.</span>
14431436
<span class="sd"> &quot;&quot;&quot;</span>
14441437

14451438
<span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span>
@@ -1548,23 +1541,22 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
15481541

15491542
<div class="viewcode-block" id="dpnp_array.var">
15501543
<a class="viewcode-back" href="../../reference/generated/dpnp.dpnp_array.dpnp_array.html#dpnp.dpnp_array.dpnp_array.var">[docs]</a>
1551-
<span class="k">def</span> <span class="nf">var</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">keepdims</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
1544+
<span class="k">def</span> <span class="nf">var</span><span class="p">(</span>
1545+
<span class="bp">self</span><span class="p">,</span>
1546+
<span class="n">axis</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
1547+
<span class="n">dtype</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
1548+
<span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
1549+
<span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
1550+
<span class="n">keepdims</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
1551+
<span class="o">*</span><span class="p">,</span>
1552+
<span class="n">where</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
1553+
<span class="p">):</span>
15521554
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
1553-
<span class="sd"> Returns the variance of the array elements along given axis.</span>
1554-
1555-
<span class="sd"> Masked entries are ignored, and result elements which are not</span>
1556-
<span class="sd"> finite will be masked.</span>
1557-
1558-
<span class="sd"> Refer to `numpy.var` for full documentation.</span>
1559-
1560-
<span class="sd"> See Also</span>
1561-
<span class="sd"> --------</span>
1562-
<span class="sd"> :obj:`numpy.ndarray.var` : corresponding function for ndarrays</span>
1563-
<span class="sd"> :obj:`numpy.var` : Equivalent function</span>
1555+
<span class="sd"> Returns the variance of the array elements, along given axis.</span>
15641556

1557+
<span class="sd"> Refer to :obj:`dpnp.var` for full documentation.</span>
15651558
<span class="sd"> &quot;&quot;&quot;</span>
1566-
1567-
<span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">var</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">axis</span><span class="p">,</span> <span class="n">dtype</span><span class="p">,</span> <span class="n">out</span><span class="p">,</span> <span class="n">ddof</span><span class="p">,</span> <span class="n">keepdims</span><span class="p">)</span></div>
1559+
<span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">var</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">axis</span><span class="p">,</span> <span class="n">dtype</span><span class="p">,</span> <span class="n">out</span><span class="p">,</span> <span class="n">ddof</span><span class="p">,</span> <span class="n">keepdims</span><span class="p">,</span> <span class="n">where</span><span class="o">=</span><span class="n">where</span><span class="p">)</span></div>
15681560
</div>
15691561

15701562

_modules/dpnp/dpnp_flatiter.html

+3-3
Original file line numberDiff line numberDiff line change
@@ -12,7 +12,7 @@
1212
</script>
1313

1414
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
15-
<title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.13.1dev1+20.gc35d8b6fda documentation</title>
15+
<title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.13.1dev1+17.g996cf5405e documentation</title>
1616
<link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
1717
<link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=19f00094" />
1818

@@ -23,7 +23,7 @@
2323

2424
<script src="../../_static/jquery.js?v=5d32c60e"></script>
2525
<script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
26-
<script src="../../_static/documentation_options.js?v=e64bcc3b"></script>
26+
<script src="../../_static/documentation_options.js?v=e2b28984"></script>
2727
<script src="../../_static/doctools.js?v=888ff710"></script>
2828
<script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
2929
<script src="../../_static/js/theme.js"></script>
@@ -43,7 +43,7 @@
4343
Data Parallel Extension for NumPy
4444
</a>
4545
<div class="version">
46-
0.13.1dev1+20.gc35d8b6fda
46+
0.13.1dev1+17.g996cf5405e
4747
</div>
4848
<div role="search">
4949
<form id="rtd-search-form" class="wy-form" action="../../search.html" method="get">

0 commit comments

Comments
 (0)