Docs for pull request 2098

Author: github-actions[doc-deploy-bot]

pulls/2098/_modules/dpctl/tensor/_sorting.html

@@ -879,8 +879,6 @@ <h1>Source code for dpctl.tensor._sorting</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="n">dpt</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="n">x</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="k">else</span><span class="p">:</span>
         <span class="n">axis</span> <span class="o">=</span> <span class="n">normalize_axis_index</span><span class="p">(</span><span class="n">axis</span><span class="p">,</span> <span class="n">ndim</span><span class="o">=</span><span class="n">nd</span><span class="p">,</span> <span class="n">msg_prefix</span><span class="o">=</span><span class="s2">&quot;axis&quot;</span><span class="p">)</span>
-    <span class="k">if</span> <span class="n">x</span><span class="o">.</span><span class="n">size</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
-        <span class="k">return</span> <span class="n">dpt</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="n">x</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">a1</span> <span class="o">=</span> <span class="n">axis</span> <span class="o">+</span> <span class="mi">1</span>
     <span class="k">if</span> <span class="n">a1</span> <span class="o">==</span> <span class="n">nd</span><span class="p">:</span>
         <span class="n">perm</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="n">nd</span><span class="p">))</span>
@@ -999,10 +997,6 @@ <h1>Source code for dpctl.tensor._sorting</h1><div class="highlight"><pre>
         <span class="p">)</span>
     <span class="k">else</span><span class="p">:</span>
         <span class="n">axis</span> <span class="o">=</span> <span class="n">normalize_axis_index</span><span class="p">(</span><span class="n">axis</span><span class="p">,</span> <span class="n">ndim</span><span class="o">=</span><span class="n">nd</span><span class="p">,</span> <span class="n">msg_prefix</span><span class="o">=</span><span class="s2">&quot;axis&quot;</span><span class="p">)</span>
-    <span class="k">if</span> <span class="n">x</span><span class="o">.</span><span class="n">size</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
-        <span class="k">return</span> <span class="n">dpt</span><span class="o">.</span><span class="n">zeros_like</span><span class="p">(</span>
-            <span class="n">x</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">ti</span><span class="o">.</span><span class="n">default_device_index_type</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">sycl_queue</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">a1</span> <span class="o">=</span> <span class="n">axis</span> <span class="o">+</span> <span class="mi">1</span>
     <span class="k">if</span> <span class="n">a1</span> <span class="o">==</span> <span class="n">nd</span><span class="p">:</span>
         <span class="n">perm</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="n">nd</span><span class="p">))</span>

pulls/2098/beginners_guides/installation.html

@@ -868,7 +868,7 @@ <h2>Installation using pip<a class="headerlink" href="#installation-using-pip" t
 <section id="installation-via-intel-r-distribution-for-python">
 <h2>Installation via Intel(R) Distribution for Python<a class="headerlink" href="#installation-via-intel-r-distribution-for-python" title="Permalink to this heading">¶</a></h2>
 <p><a class="reference external" href="https://www.intel.com/content/www/us/en/developer/tools/oneapi/distribution-for-python.html">Intel(R) Distribution for Python*</a> is distributed as a conda-based installer
-and includes <a class="reference internal" href="../api_reference/dpctl/index.html#module-dpctl" title="dpctl"><code class="xref py py-mod docutils literal notranslate"><span class="pre">dpctl</span></code></a> along with its dependencies and sister projects <a class="reference external" href="https://intelpython.github.io/dpnp/overview.html#module-dpnp" title="(in Data Parallel Extension for NumPy v0.19.0dev3+26.gf244f40aede)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">dpnp</span></code></a>
+and includes <a class="reference internal" href="../api_reference/dpctl/index.html#module-dpctl" title="dpctl"><code class="xref py py-mod docutils literal notranslate"><span class="pre">dpctl</span></code></a> along with its dependencies and sister projects <a class="reference external" href="https://intelpython.github.io/dpnp/overview.html#module-dpnp" title="(in Data Parallel Extension for NumPy v0.19.0dev3+29.g25b7466c354)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">dpnp</span></code></a>
 and <a class="reference external" href="https://intelpython.github.io/numba-dpex/latest/index.html#module-numba_dpex" title="(in numba-dpex)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">numba_dpex</span></code></a>.</p>
 <p>Once the installed environment is activated, <code class="docutils literal notranslate"><span class="pre">dpctl</span></code> should be ready to use.</p>
 </section>