Latest docs.

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

master/api_reference/dpctl/generated/generated/dpctl.SyclDevice.can_access_peer.html

@@ -822,18 +822,18 @@ <h1>dpctl.SyclDevice.can_access_peer<a class="headerlink" href="#dpctl-sycldevic
 </dd>
 </dl>
 </li>
-<li><dl>
+<li><dl class="simple">
 <dt><code class="docutils literal notranslate"><span class="pre">&quot;atomics_supported&quot;</span></code></dt><dd><p>Returns <code class="docutils literal notranslate"><span class="pre">True</span></code> if it is possible for this device to
 concurrently access and atomically modify USM device
 memory on <code class="docutils literal notranslate"><span class="pre">peer</span></code> when enabled. Atomics must have
 <code class="docutils literal notranslate"><span class="pre">memory_scope::system</span></code> when modifying memory on a peer
 device.</p>
-<p>If <code class="docutils literal notranslate"><span class="pre">False</span></code> is returned, these operations result in
-undefined behavior.</p>
 </dd>
 </dl>
 </li>
 </ul>
+<p>If <code class="docutils literal notranslate"><span class="pre">False</span></code> is returned, these operations result in
+undefined behavior.</p>
 <p>Default: <code class="docutils literal notranslate"><span class="pre">&quot;access_supported&quot;</span></code></p>
 </p></li>
 </ul>

master/beginners_guides/installation.html

@@ -867,7 +867,7 @@ <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 v0.18.0dev2+18.g8cef740250)"><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 v0.18.0dev3)"><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>