Latest docs.

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

master/_modules/dpctl/tensor/_array_api.html

@@ -852,7 +852,7 @@ <h1>Source code for dpctl.tensor._array_api</h1><div class="highlight"><pre>
             <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Unsupported type for device argument: </span><span class="si">{</span><span class="nb">type</span><span class="p">(</span><span class="n">d</span><span class="p">)</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 
 
-<span class="n">__array_api_version__</span> <span class="o">=</span> <span class="s2">&quot;2023.12&quot;</span>
+<span class="n">__array_api_version__</span> <span class="o">=</span> <span class="s2">&quot;2024.12&quot;</span>
 
 
 <div class="viewcode-block" id="Info"><a class="viewcode-back" href="../../../api_reference/dpctl/generated/dpctl.tensor._array_api.Info.html#dpctl.tensor.Info">[docs]</a><span class="k">class</span><span class="w"> </span><span class="nc">Info</span><span class="p">:</span>

master/api_reference/dpctl/generated/dpctl.tensor.__array_api_version__.html

@@ -798,7 +798,7 @@ <h1>dpctl.tensor.__array_api_version__<a class="headerlink" href="#dpctl-tensor-
 <dl class="py attribute">
 <dt class="sig sig-object py" id="dpctl.tensor.__array_api_version__">
 <span class="sig-prename descclassname"><span class="pre">dpctl.tensor.</span></span><span class="sig-name descname"><span class="pre">__array_api_version__</span></span><a class="headerlink" href="#dpctl.tensor.__array_api_version__" title="Permalink to this definition">¶</a></dt>
-<dd><p>alias of 2023.12</p>
+<dd><p>alias of 2024.12</p>
 </dd></dl>
 
 </section>

master/beginners_guides/installation.html

@@ -858,7 +858,7 @@ <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 v0.18.0dev0+72.g0ab1d6279a1)"><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 v0.18.0dev0+75.g15ed9617d2f)"><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>