Implement build for NVIDIA GPU b451975

Author: github-actions[bot]

pull/1926/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 3a27e928b6eef0796802da487c207098
+config: 883de4d335a89c4cfe636ebc894f6d6f
 tags: 645f666f9bcd5a90fca523b33c5a78b7

pull/1926/_modules/dpnp/dpnp_array.html

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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.16.0dev0+83.ged95144633 documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.16.0dev0+109.gb4519755a7 documentation</title>
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@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           </a>
               <div class="version">
-                0.16.0dev0+83.ged95144633
+                0.16.0dev0+109.gb4519755a7
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pull/1926/_modules/dpnp/dpnp_flatiter.html

@@ -12,7 +12,7 @@
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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.16.0dev0+83.ged95144633 documentation</title>
+  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.16.0dev0+109.gb4519755a7 documentation</title>
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@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           </a>
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+                0.16.0dev0+109.gb4519755a7
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pull/1926/_modules/dpnp/dpnp_iface.html

@@ -12,7 +12,7 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.16.0dev0+83.ged95144633 documentation</title>
+  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.16.0dev0+109.gb4519755a7 documentation</title>
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         <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
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@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           </a>
               <div class="version">
-                0.16.0dev0+83.ged95144633
+                0.16.0dev0+109.gb4519755a7
               </div>
 <div role="search">
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@@ -228,9 +228,9 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
 
 <span class="sd">    Parameters</span>
 <span class="sd">    ----------</span>
-<span class="sd">    ar1 : {dpnp_array, usm_ndarray}</span>
+<span class="sd">    ar1 : {dpnp.ndarray, usm_ndarray}</span>
 <span class="sd">        First input array.</span>
-<span class="sd">    ar2 : {dpnp_array, usm_ndarray}</span>
+<span class="sd">    ar2 : {dpnp.ndarray, usm_ndarray}</span>
 <span class="sd">        Second input array.</span>
 
 <span class="sd">    Returns</span>
@@ -498,7 +498,7 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
 
 <span class="sd">    Parameters</span>
 <span class="sd">    ----------</span>
-<span class="sd">    arrays : {dpnp_array, usm_ndarray}</span>
+<span class="sd">    arrays : {dpnp.ndarray, usm_ndarray}</span>
 <span class="sd">        Input arrays to check for supported types.</span>
 <span class="sd">    scalar_type : {bool}, optional</span>
 <span class="sd">        A scalar type is also considered as supported if flag is ``True``.</span>
@@ -761,7 +761,7 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
 <span class="sd">    ----------</span>
 <span class="sd">    a : {dpnp_array}</span>
 <span class="sd">        Input array.</span>
-<span class="sd">    out : {dpnp_array, usm_ndarray}</span>
+<span class="sd">    out : {dpnp.ndarray, usm_ndarray}</span>
 <span class="sd">        If provided, value of `a` array will be copied into it</span>
 <span class="sd">        according to ``safe`` casting rule.</span>
 <span class="sd">        It should be of the appropriate shape.</span>
@@ -799,7 +799,7 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
 
 <span class="sd">    Parameters</span>
 <span class="sd">    ----------</span>
-<span class="sd">    a : {dpnp_array, usm_ndarray}</span>
+<span class="sd">    a : {dpnp.ndarray, usm_ndarray}</span>
 <span class="sd">        Input array of supported type :class:`dpnp.ndarray`</span>
 <span class="sd">        or :class:`dpctl.tensor.usm_ndarray`.</span>
 
@@ -879,7 +879,7 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
 
 <span class="sd">    Parameters</span>
 <span class="sd">    ----------</span>
-<span class="sd">    a : {dpnp_array, usm_ndarray}</span>
+<span class="sd">    a : {dpnp.ndarray, usm_ndarray}</span>
 <span class="sd">        An input array to check the type.</span>
 
 <span class="sd">    Returns</span>

pull/1926/_modules/dpnp/dpnp_iface_arraycreation.html

@@ -12,7 +12,7 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.16.0dev0+83.ged95144633 documentation</title>
+  <title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.16.0dev0+109.gb4519755a7 documentation</title>
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         <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
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@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           </a>
               <div class="version">
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+                0.16.0dev0+109.gb4519755a7
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pull/1926/_modules/dpnp/dpnp_iface_counting.html

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     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_counting &mdash; Data Parallel Extension for NumPy 0.16.0dev0+83.ged95144633 documentation</title>
+  <title>dpnp.dpnp_iface_counting &mdash; Data Parallel Extension for NumPy 0.16.0dev0+109.gb4519755a7 documentation</title>
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@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           </a>
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+                0.16.0dev0+109.gb4519755a7
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pull/1926/_modules/dpnp/dpnp_iface_histograms.html

@@ -12,7 +12,7 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_histograms &mdash; Data Parallel Extension for NumPy 0.16.0dev0+83.ged95144633 documentation</title>
+  <title>dpnp.dpnp_iface_histograms &mdash; Data Parallel Extension for NumPy 0.16.0dev0+109.gb4519755a7 documentation</title>
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         <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
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@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           </a>
               <div class="version">
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+                0.16.0dev0+109.gb4519755a7
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pull/1926/_modules/dpnp/dpnp_iface_indexing.html

@@ -12,7 +12,7 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_indexing &mdash; Data Parallel Extension for NumPy 0.16.0dev0+83.ged95144633 documentation</title>
+  <title>dpnp.dpnp_iface_indexing &mdash; Data Parallel Extension for NumPy 0.16.0dev0+109.gb4519755a7 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>
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@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           </a>
               <div class="version">
-                0.16.0dev0+83.ged95144633
+                0.16.0dev0+109.gb4519755a7
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@@ -131,7 +131,7 @@ <h1>Source code for dpnp.dpnp_iface_indexing</h1><div class="highlight"><pre>
 
 <span class="kn">import</span> <span class="nn">dpctl.tensor</span> <span class="k">as</span> <span class="nn">dpt</span>
 <span class="kn">import</span> <span class="nn">numpy</span>
-<span class="kn">from</span> <span class="nn">numpy.core.numeric</span> <span class="kn">import</span> <span class="n">normalize_axis_index</span>
+<span class="kn">from</span> <span class="nn">dpctl.tensor._numpy_helper</span> <span class="kn">import</span> <span class="n">normalize_axis_index</span>
 
 <span class="kn">import</span> <span class="nn">dpnp</span>
 
@@ -154,6 +154,7 @@ <h1>Source code for dpnp.dpnp_iface_indexing</h1><div class="highlight"><pre>
     <span class="s2">&quot;diagonal&quot;</span><span class="p">,</span>
     <span class="s2">&quot;extract&quot;</span><span class="p">,</span>
     <span class="s2">&quot;fill_diagonal&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;flatnonzero&quot;</span><span class="p">,</span>
     <span class="s2">&quot;indices&quot;</span><span class="p">,</span>
     <span class="s2">&quot;mask_indices&quot;</span><span class="p">,</span>
     <span class="s2">&quot;nonzero&quot;</span><span class="p">,</span>
@@ -613,7 +614,7 @@ <h1>Source code for dpnp.dpnp_iface_indexing</h1><div class="highlight"><pre>
 <span class="sd">    condition : {array_like, scalar}</span>
 <span class="sd">        An array whose non-zero or ``True`` entries indicate the element of `a`</span>
 <span class="sd">        to extract.</span>
-<span class="sd">    a : {dpnp_array, usm_ndarray}</span>
+<span class="sd">    a : {dpnp.ndarray, usm_ndarray}</span>
 <span class="sd">        Input array of the same size as `condition`.</span>
 
 <span class="sd">    Returns</span>
@@ -692,7 +693,7 @@ <h1>Source code for dpnp.dpnp_iface_indexing</h1><div class="highlight"><pre>
 
 <span class="sd">    Parameters</span>
 <span class="sd">    ----------</span>
-<span class="sd">    a : {dpnp_array, usm_ndarray}</span>
+<span class="sd">    a : {dpnp.ndarray, usm_ndarray}</span>
 <span class="sd">        Array whose diagonal is to be filled in-place. It must be at least 2-D.</span>
 <span class="sd">    val : {dpnp.ndarray, usm_ndarray, scalar}</span>
 <span class="sd">        Value(s) to write on the diagonal. If `val` is scalar, the value is</span>
@@ -824,6 +825,55 @@ <h1>Source code for dpnp.dpnp_iface_indexing</h1><div class="highlight"><pre>
 
 
 
+<div class="viewcode-block" id="flatnonzero">
+<a class="viewcode-back" href="../../reference/generated/dpnp.flatnonzero.html#dpnp.flatnonzero">[docs]</a>
+<span class="k">def</span> <span class="nf">flatnonzero</span><span class="p">(</span><span class="n">a</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Return indices that are non-zero in the flattened version of `a`.</span>
+
+<span class="sd">    This is equivalent to ``dpnp.nonzero(dpnp.ravel(a))[0]``.</span>
+
+<span class="sd">    For full documentation refer to :obj:`numpy.flatnonzero`.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    a : {dpnp.ndarray, usm_ndarray}</span>
+<span class="sd">        Input data.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    out : dpnp.ndarray</span>
+<span class="sd">        Output array, containing the indices of the elements of ``a.ravel()``</span>
+<span class="sd">        that are non-zero.</span>
+
+<span class="sd">    See Also</span>
+<span class="sd">    --------</span>
+<span class="sd">    :obj:`dpnp.nonzero` : Return the indices of the non-zero elements of</span>
+<span class="sd">                          the input array.</span>
+<span class="sd">    :obj:`dpnp.ravel` : Return a 1-D array containing the elements of</span>
+<span class="sd">                        the input array.</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; x = np.arange(-2, 3)</span>
+<span class="sd">    &gt;&gt;&gt; x</span>
+<span class="sd">    array([-2, -1,  0,  1,  2])</span>
+<span class="sd">    &gt;&gt;&gt; np.flatnonzero(x)</span>
+<span class="sd">    array([0, 1, 3, 4])</span>
+
+<span class="sd">    Use the indices of the non-zero elements as an index array to extract</span>
+<span class="sd">    these elements:</span>
+
+<span class="sd">    &gt;&gt;&gt; x.ravel()[np.flatnonzero(x)]</span>
+<span class="sd">    array([-2, -1,  1,  2])</span>
+
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">nonzero</span><span class="p">(</span><span class="n">dpnp</span><span class="o">.</span><span class="n">ravel</span><span class="p">(</span><span class="n">a</span><span class="p">))[</span><span class="mi">0</span><span class="p">]</span></div>
+
+
+
 <div class="viewcode-block" id="indices">
 <a class="viewcode-back" href="../../reference/generated/dpnp.indices.html#dpnp.indices">[docs]</a>
 <span class="k">def</span> <span class="nf">indices</span><span class="p">(</span>

pull/1926/_modules/dpnp/dpnp_iface_libmath.html

@@ -12,7 +12,7 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_libmath &mdash; Data Parallel Extension for NumPy 0.16.0dev0+83.ged95144633 documentation</title>
+  <title>dpnp.dpnp_iface_libmath &mdash; Data Parallel Extension for NumPy 0.16.0dev0+109.gb4519755a7 documentation</title>
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@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           </a>
               <div class="version">
-                0.16.0dev0+83.ged95144633
+                0.16.0dev0+109.gb4519755a7
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