Optimize FFT logic for complex strided input to avoid oversized memory allocation 1fbdb39

Author: github-actions[bot]

pull/2939/.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: 3206b1035113505128b770960a3e6cb5
+config: 5d068ff4dffa3ea33e8d3455c7d17e6d
 tags: 645f666f9bcd5a90fca523b33c5a78b7

pull/2939/_modules/dpnp/dpnp_array.html

@@ -14,14 +14,14 @@
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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 0.21.0dev1+23.g6c5fe045015 documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.21.0dev1+35.g1fbdb39e212 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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@@ -1948,7 +1948,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <a class="viewcode-back" href="../../reference/generated/dpnp.dpnp_array.dpnp_array.reshape.html#dpnp.dpnp_array.dpnp_array.reshape">[docs]</a>
     <span class="k">def</span><span class="w"> </span><span class="nf">reshape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">/</span><span class="p">,</span> <span class="o">*</span><span class="n">shape</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="s2">&quot;C&quot;</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">        Return an array containing the same data with a new shape.</span>
+<span class="sd">        Return a reshaped array without changing data.</span>
 
 <span class="sd">        Refer to :obj:`dpnp.reshape` for full documentation.</span>
 
@@ -2413,7 +2413,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 
 <span class="sd">        Parameters</span>
 <span class="sd">        ----------</span>
-<span class="sd">        device : {None, string, SyclDevice, SyclQueue, Device}, optional</span>
+<span class="sd">        device : {None, string, SyclDevice, SyclQueue, Device}</span>
 <span class="sd">            An array API concept of device where the output array is created.</span>
 <span class="sd">            `device` can be ``None``, a oneAPI filter selector string,</span>
 <span class="sd">            an instance of :class:`dpctl.SyclDevice` corresponding to</span>
@@ -2621,8 +2621,8 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span class="sd">        :obj:`dpnp.transpose` : Equivalent function.</span>
 <span class="sd">        :obj:`dpnp.ndarray.ndarray.T` : Array property returning the array</span>
 <span class="sd">            transposed.</span>
-<span class="sd">        :obj:`dpnp.ndarray.reshape` : Give a new shape to an array without</span>
-<span class="sd">            changing its data.</span>
+<span class="sd">        :obj:`dpnp.ndarray.reshape` : Return a reshaped ndarray without</span>
+<span class="sd">            changing data.</span>
 
 <span class="sd">        Examples</span>
 <span class="sd">        --------</span>

pull/2939/_modules/dpnp/dpnp_array_api_info.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.21.0dev1+23.g6c5fe045015 documentation</title>
+  <title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.21.0dev1+35.g1fbdb39e212 documentation</title>
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pull/2939/_modules/dpnp/dpnp_flatiter.html

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     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.21.0dev1+23.g6c5fe045015 documentation</title>
+  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.21.0dev1+35.g1fbdb39e212 documentation</title>
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pull/2939/_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 0.21.0dev1+23.g6c5fe045015 documentation</title>
+  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.21.0dev1+35.g1fbdb39e212 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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@@ -541,6 +541,8 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
 <span class="sd">        and implementing `__sycl_usm_array_interface__` protocol, an instance</span>
 <span class="sd">        of `numpy.ndarray`, an object supporting Python buffer protocol,</span>
 <span class="sd">        a Python scalar, or a (possibly nested) sequence of Python scalars.</span>
+
+<span class="sd">        Default: ``None``.</span>
 <span class="sd">    sycl_queue : {None, class:`dpctl.SyclQueue`}, optional</span>
 <span class="sd">        A queue which explicitly indicates where USM allocation is done</span>
 <span class="sd">        and the population code (if any) is executed.</span>
@@ -592,7 +594,7 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
 <span class="sd">    ----------</span>
 <span class="sd">    a : {dpnp.ndarray, usm_ndarray}</span>
 <span class="sd">        Input array.</span>
-<span class="sd">    out : {None, dpnp.ndarray, usm_ndarray}</span>
+<span class="sd">    out : {None, dpnp.ndarray, usm_ndarray}, optional</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>