implement dpnp.nanmedian e0769fc

Author: github-actions[bot]

pull/2191/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file records the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 015fb289755b5c47f8c63d689a9041a5
+config: 36b1bab48cb6a5c8319b3a937a4459fa
 tags: 645f666f9bcd5a90fca523b33c5a78b7

pull/2191/_modules/dpnp/dpnp_array.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.17.0dev2+36.ge9151be6171 documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.17.0dev3+11.ge0769fcfb3b documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
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       <script src="../../_static/jquery.js?v=5d32c60e"></script>
       <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-      <script src="../../_static/documentation_options.js?v=c70b70db"></script>
+      <script src="../../_static/documentation_options.js?v=fdd2f116"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
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pull/2191/_modules/dpnp/dpnp_flatiter.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.17.0dev2+36.ge9151be6171 documentation</title>
+  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.17.0dev3+11.ge0769fcfb3b documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
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       <script src="../../_static/jquery.js?v=5d32c60e"></script>
       <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-      <script src="../../_static/documentation_options.js?v=c70b70db"></script>
+      <script src="../../_static/documentation_options.js?v=fdd2f116"></script>
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pull/2191/_modules/dpnp/dpnp_iface.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.17.0dev2+36.ge9151be6171 documentation</title>
+  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.17.0dev3+11.ge0769fcfb3b documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
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       <script src="../../_static/jquery.js?v=5d32c60e"></script>
       <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-      <script src="../../_static/documentation_options.js?v=c70b70db"></script>
+      <script src="../../_static/documentation_options.js?v=fdd2f116"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
       <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/js/theme.js"></script>
@@ -147,7 +147,6 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
     <span class="s2">&quot;check_limitations&quot;</span><span class="p">,</span>
     <span class="s2">&quot;check_supported_arrays_type&quot;</span><span class="p">,</span>
     <span class="s2">&quot;default_float_type&quot;</span><span class="p">,</span>
-    <span class="s2">&quot;from_dlpack&quot;</span><span class="p">,</span>
     <span class="s2">&quot;get_dpnp_descriptor&quot;</span><span class="p">,</span>
     <span class="s2">&quot;get_include&quot;</span><span class="p">,</span>
     <span class="s2">&quot;get_normalized_queue_device&quot;</span><span class="p">,</span>
@@ -534,63 +533,6 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">map_dtype_to_device</span><span class="p">(</span><span class="n">float64</span><span class="p">,</span> <span class="n">_sycl_queue</span><span class="o">.</span><span class="n">sycl_device</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="from_dlpack">
-<a class="viewcode-back" href="../../reference/generated/dpnp.from_dlpack.html#dpnp.from_dlpack">[docs]</a>
-<span class="k">def</span> <span class="nf">from_dlpack</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="o">/</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">copy</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="sd">    Create a dpnp array from a Python object implementing the ``__dlpack__``</span>
-<span class="sd">    protocol.</span>
-
-<span class="sd">    See https://dmlc.github.io/dlpack/latest/ for more details.</span>
-
-<span class="sd">    Parameters</span>
-<span class="sd">    ----------</span>
-<span class="sd">    obj : object</span>
-<span class="sd">        A Python object representing an array that implements the ``__dlpack__``</span>
-<span class="sd">        and ``__dlpack_device__`` methods.</span>
-<span class="sd">    device : {:class:`dpctl.SyclDevice`, :class:`dpctl.SyclQueue`,</span>
-<span class="sd">              :class:`dpctl.tensor.Device`, tuple, None}, optional</span>
-<span class="sd">        Array API concept of a device where the output array is to be placed.</span>
-<span class="sd">        ``device`` can be ``None``, an oneAPI filter selector string,</span>
-<span class="sd">        an instance of :class:`dpctl.SyclDevice` corresponding to</span>
-<span class="sd">        a non-partitioned SYCL device, an instance of :class:`dpctl.SyclQueue`,</span>
-<span class="sd">        a :class:`dpctl.tensor.Device` object returned by</span>
-<span class="sd">        :attr:`dpctl.tensor.usm_ndarray.device`, or a 2-tuple matching</span>
-<span class="sd">        the format of the output of the ``__dlpack_device__`` method,</span>
-<span class="sd">        an integer enumerator representing the device type followed by</span>
-<span class="sd">        an integer representing the index of the device.</span>
-<span class="sd">        Default: ``None``.</span>
-<span class="sd">    copy {bool, None}, optional</span>
-<span class="sd">        Boolean indicating whether or not to copy the input.</span>
-
-<span class="sd">        * If `copy``is ``True``, the input will always be copied.</span>
-<span class="sd">        * If ``False``, a ``BufferError`` will be raised if a copy is deemed</span>
-<span class="sd">          necessary.</span>
-<span class="sd">        * If ``None``, a copy will be made only if deemed necessary, otherwise,</span>
-<span class="sd">          the existing memory buffer will be reused.</span>
-
-<span class="sd">        Default: ``None``.</span>
-
-<span class="sd">    Returns</span>
-<span class="sd">    -------</span>
-<span class="sd">    out : dpnp_array</span>
-<span class="sd">        Returns a new dpnp array containing the data from another array</span>
-<span class="sd">        (obj) with the ``__dlpack__`` method on the same device as object.</span>
-
-<span class="sd">    Raises</span>
-<span class="sd">    ------</span>
-<span class="sd">    TypeError:</span>
-<span class="sd">        if `obj` does not implement ``__dlpack__`` method</span>
-<span class="sd">    ValueError:</span>
-<span class="sd">        if the input array resides on an unsupported device</span>
-
-<span class="sd">    &quot;&quot;&quot;</span>
-
-    <span class="n">usm_res</span> <span class="o">=</span> <span class="n">dpt</span><span class="o">.</span><span class="n">from_dlpack</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">,</span> <span class="n">copy</span><span class="o">=</span><span class="n">copy</span><span class="p">)</span>
-    <span class="k">return</span> <span class="n">dpnp_array</span><span class="o">.</span><span class="n">_create_from_usm_ndarray</span><span class="p">(</span><span class="n">usm_res</span><span class="p">)</span></div>
-
-
-
 <span class="k">def</span> <span class="nf">get_dpnp_descriptor</span><span class="p">(</span>
     <span class="n">ext_obj</span><span class="p">,</span>
     <span class="n">copy_when_strides</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>

pull/2191/_modules/dpnp/dpnp_iface_arraycreation.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.17.0dev2+36.ge9151be6171 documentation</title>
+  <title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.17.0dev3+11.ge0769fcfb3b documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=e59714d7" />
 
 
       <script src="../../_static/jquery.js?v=5d32c60e"></script>
       <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-      <script src="../../_static/documentation_options.js?v=c70b70db"></script>
+      <script src="../../_static/documentation_options.js?v=fdd2f116"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
       <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/js/theme.js"></script>
@@ -160,6 +160,7 @@ <h1>Source code for dpnp.dpnp_iface_arraycreation</h1><div class="highlight"><pr
     <span class="s2">&quot;fromfunction&quot;</span><span class="p">,</span>
     <span class="s2">&quot;fromiter&quot;</span><span class="p">,</span>
     <span class="s2">&quot;fromstring&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;from_dlpack&quot;</span><span class="p">,</span>
     <span class="s2">&quot;full&quot;</span><span class="p">,</span>
     <span class="s2">&quot;full_like&quot;</span><span class="p">,</span>
     <span class="s2">&quot;geomspace&quot;</span><span class="p">,</span>
@@ -2183,6 +2184,96 @@ <h1>Source code for dpnp.dpnp_iface_arraycreation</h1><div class="highlight"><pr
 
 
 
+<div class="viewcode-block" id="from_dlpack">
+<a class="viewcode-back" href="../../reference/generated/dpnp.from_dlpack.html#dpnp.from_dlpack">[docs]</a>
+<span class="k">def</span> <span class="nf">from_dlpack</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="o">/</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">copy</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Constructs :class:`dpnp.ndarray` or :class:`numpy.ndarray` instance from</span>
+<span class="sd">    a Python object `x` that implements ``__dlpack__`` protocol.</span>
+
+<span class="sd">    For full documentation refer to :obj:`numpy.from_dlpack`.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    x : object</span>
+<span class="sd">        A Python object representing an array that implements the ``__dlpack__``</span>
+<span class="sd">        and ``__dlpack_device__`` methods.</span>
+<span class="sd">    device : {None, string, tuple, device}, optional</span>
+<span class="sd">        Device where the output array is to be placed. `device` keyword values</span>
+<span class="sd">        can be:</span>
+
+<span class="sd">        * ``None`` : The data remains on the same device.</span>
+<span class="sd">        * oneAPI filter selector string : SYCL device selected by filter</span>
+<span class="sd">          selector string.</span>
+<span class="sd">        * :class:`dpctl.SyclDevice` : Explicit SYCL device that must correspond</span>
+<span class="sd">          to a non-partitioned SYCL device.</span>
+<span class="sd">        * :class:`dpctl.SyclQueue` : Implies SYCL device targeted by the SYCL</span>
+<span class="sd">          queue.</span>
+<span class="sd">        * :class:`dpctl.tensor.Device` : Implies SYCL device</span>
+<span class="sd">          ``device.sycl_queue``. The `device` object is obtained via</span>
+<span class="sd">          :attr:`dpctl.tensor.usm_ndarray.device`.</span>
+<span class="sd">        * ``(device_type, device_id)`` : 2-tuple matching the format of the</span>
+<span class="sd">          output of the ``__dlpack_device__`` method: an integer enumerator</span>
+<span class="sd">          representing the device type followed by an integer representing</span>
+<span class="sd">          the index of the device. The only supported :class:`dpnp.DLDeviceType`</span>
+<span class="sd">          device types are ``&quot;kDLCPU&quot;`` and ``&quot;kDLOneAPI&quot;``.</span>
+
+<span class="sd">        Default: ``None``.</span>
+<span class="sd">    copy : {bool, None}, optional</span>
+<span class="sd">        Boolean indicating whether or not to copy the input.</span>
+
+<span class="sd">        * If `copy` is ``True``, the input will always be copied.</span>
+<span class="sd">        * If ``False``, a ``BufferError`` will be raised if a copy is deemed</span>
+<span class="sd">          necessary.</span>
+<span class="sd">        * If ``None``, a copy will be made only if deemed necessary, otherwise,</span>
+<span class="sd">          the existing memory buffer will be reused.</span>
+
+<span class="sd">        Default: ``None``.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    out : {dpnp.ndarray, numpy.ndarray}</span>
+<span class="sd">        An array containing the data in `x`. When `copy` is ``None`` or</span>
+<span class="sd">        ``False``, this may be a view into the original memory.</span>
+<span class="sd">        The type of the returned object depends on where the data backing up</span>
+<span class="sd">        input object `x` resides. If it resides in a USM allocation on a SYCL</span>
+<span class="sd">        device, the type :class:`dpnp.ndarray` is returned, otherwise if it</span>
+<span class="sd">        resides on ``&quot;kDLCPU&quot;`` device the type is :class:`numpy.ndarray`, and</span>
+<span class="sd">        otherwise an exception is raised.</span>
+
+<span class="sd">    Raises</span>
+<span class="sd">    ------</span>
+<span class="sd">    TypeError</span>
+<span class="sd">        if `obj` does not implement ``__dlpack__`` method</span>
+<span class="sd">    ValueError</span>
+<span class="sd">        if data of the input object resides on an unsupported device</span>
+
+<span class="sd">    Notes</span>
+<span class="sd">    -----</span>
+<span class="sd">    If the return type is :class:`dpnp.ndarray`, the associated SYCL queue is</span>
+<span class="sd">    derived from the `device` keyword. When `device` keyword value has type</span>
+<span class="sd">    :class:`dpctl.SyclQueue`, the explicit queue instance is used, when `device`</span>
+<span class="sd">    keyword value has type :class:`dpctl.tensor.Device`, the</span>
+<span class="sd">    ``device.sycl_queue`` is used. In all other cases, the cached SYCL queue</span>
+<span class="sd">    corresponding to the implied SYCL device is used.</span>
+
+<span class="sd">    Examples</span>
+<span class="sd">    --------</span>
+<span class="sd">    &gt;&gt;&gt; import dpnp as np</span>
+<span class="sd">    &gt;&gt;&gt; import numpy</span>
+<span class="sd">    &gt;&gt;&gt; x = numpy.arange(10)</span>
+<span class="sd">    &gt;&gt;&gt; # create a view of the numpy array &quot;x&quot; in dpnp:</span>
+<span class="sd">    &gt;&gt;&gt; y = np.from_dlpack(x)</span>
+
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">result</span> <span class="o">=</span> <span class="n">dpt</span><span class="o">.</span><span class="n">from_dlpack</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">,</span> <span class="n">copy</span><span class="o">=</span><span class="n">copy</span><span class="p">)</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">result</span><span class="p">,</span> <span class="n">dpt</span><span class="o">.</span><span class="n">usm_ndarray</span><span class="p">):</span>
+        <span class="k">return</span> <span class="n">dpnp_array</span><span class="o">.</span><span class="n">_create_from_usm_ndarray</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">result</span></div>
+
+
+
 <div class="viewcode-block" id="full">
 <a class="viewcode-back" href="../../reference/generated/dpnp.full.html#dpnp.full">[docs]</a>
 <span class="k">def</span> <span class="nf">full</span><span class="p">(</span>

pull/2191/_modules/dpnp/dpnp_iface_bitwise.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_bitwise &mdash; Data Parallel Extension for NumPy 0.17.0dev2+36.ge9151be6171 documentation</title>
+  <title>dpnp.dpnp_iface_bitwise &mdash; Data Parallel Extension for NumPy 0.17.0dev3+11.ge0769fcfb3b documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=e59714d7" />
 
 
       <script src="../../_static/jquery.js?v=5d32c60e"></script>
       <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-      <script src="../../_static/documentation_options.js?v=c70b70db"></script>
+      <script src="../../_static/documentation_options.js?v=fdd2f116"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
       <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/js/theme.js"></script>

pull/2191/_modules/dpnp/dpnp_iface_counting.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_counting &mdash; Data Parallel Extension for NumPy 0.17.0dev2+36.ge9151be6171 documentation</title>
+  <title>dpnp.dpnp_iface_counting &mdash; Data Parallel Extension for NumPy 0.17.0dev3+11.ge0769fcfb3b documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=e59714d7" />
 
 
       <script src="../../_static/jquery.js?v=5d32c60e"></script>
       <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-      <script src="../../_static/documentation_options.js?v=c70b70db"></script>
+      <script src="../../_static/documentation_options.js?v=fdd2f116"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
       <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
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