Docs for pull request 2033

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

pulls/2033/api_reference/dpctl/generated/dpctl.tensor.ceil.html

@@ -798,7 +798,7 @@ <h1>dpctl.tensor.ceil<a class="headerlink" href="#dpctl-tensor-ceil" title="Perm
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (<a class="reference internal" href="dpctl.tensor.usm_ndarray.html#dpctl.tensor.usm_ndarray" title="dpctl.tensor.usm_ndarray"><em>usm_ndarray</em></a>) – Input array, expected to have a real-valued data type.</p></li>
+<li><p><strong>x</strong> (<a class="reference internal" href="dpctl.tensor.usm_ndarray.html#dpctl.tensor.usm_ndarray" title="dpctl.tensor.usm_ndarray"><em>usm_ndarray</em></a>) – Input array, expected to have a boolean or real-valued data type.</p></li>
 <li><p><strong>out</strong> (<em>Union</em><em>[</em><a class="reference internal" href="dpctl.tensor.usm_ndarray.html#dpctl.tensor.usm_ndarray" title="dpctl.tensor.usm_ndarray"><em>usm_ndarray</em></a><em>, </em><em>None</em><em>]</em><em>, </em><em>optional</em>) – Output array to populate.
 Array must have the correct shape and the expected data type.</p></li>
 <li><p><strong>order</strong> (<em>&quot;C&quot;</em><em>,</em><em>&quot;F&quot;</em><em>,</em><em>&quot;A&quot;</em><em>,</em><em>&quot;K&quot;</em><em>, </em><em>optional</em>) – Memory layout of the new output array, if parameter

pulls/2033/api_reference/dpctl/generated/dpctl.tensor.floor.html

@@ -798,7 +798,7 @@ <h1>dpctl.tensor.floor<a class="headerlink" href="#dpctl-tensor-floor" title="Pe
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (<a class="reference internal" href="dpctl.tensor.usm_ndarray.html#dpctl.tensor.usm_ndarray" title="dpctl.tensor.usm_ndarray"><em>usm_ndarray</em></a>) – Input array, expected to have a real-valued data type.</p></li>
+<li><p><strong>x</strong> (<a class="reference internal" href="dpctl.tensor.usm_ndarray.html#dpctl.tensor.usm_ndarray" title="dpctl.tensor.usm_ndarray"><em>usm_ndarray</em></a>) – Input array, expected to have a boolean or real-valued data type.</p></li>
 <li><p><strong>out</strong> (<em>Union</em><em>[</em><a class="reference internal" href="dpctl.tensor.usm_ndarray.html#dpctl.tensor.usm_ndarray" title="dpctl.tensor.usm_ndarray"><em>usm_ndarray</em></a><em>, </em><em>None</em><em>]</em><em>, </em><em>optional</em>) – Output array to populate.
 Array must have the correct shape and the expected data type.</p></li>
 <li><p><strong>order</strong> (<em>&quot;C&quot;</em><em>,</em><em>&quot;F&quot;</em><em>,</em><em>&quot;A&quot;</em><em>,</em><em>&quot;K&quot;</em><em>, </em><em>optional</em>) – Memory layout of the new output array, if parameter

pulls/2033/api_reference/dpctl/generated/dpctl.tensor.trunc.html

@@ -800,7 +800,7 @@ <h1>dpctl.tensor.trunc<a class="headerlink" href="#dpctl-tensor-trunc" title="Pe
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (<a class="reference internal" href="dpctl.tensor.usm_ndarray.html#dpctl.tensor.usm_ndarray" title="dpctl.tensor.usm_ndarray"><em>usm_ndarray</em></a>) – Input array, expected to have a real-valued data type.</p></li>
+<li><p><strong>x</strong> (<a class="reference internal" href="dpctl.tensor.usm_ndarray.html#dpctl.tensor.usm_ndarray" title="dpctl.tensor.usm_ndarray"><em>usm_ndarray</em></a>) – Input array, expected to have a boolean or real-valued data type.</p></li>
 <li><p><strong>out</strong> (<em>Union</em><em>[</em><a class="reference internal" href="dpctl.tensor.usm_ndarray.html#dpctl.tensor.usm_ndarray" title="dpctl.tensor.usm_ndarray"><em>usm_ndarray</em></a><em>, </em><em>None</em><em>]</em><em>, </em><em>optional</em>) – Output array to populate.
 Array must have the correct shape and the expected data type.</p></li>
 <li><p><strong>order</strong> (<em>&quot;C&quot;</em><em>,</em><em>&quot;F&quot;</em><em>,</em><em>&quot;A&quot;</em><em>,</em><em>&quot;K&quot;</em><em>, </em><em>optional</em>) – Memory layout of the new output array, if parameter

pulls/2033/beginners_guides/installation.html

@@ -852,7 +852,7 @@ <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+48.g7d4f1cae2bb)"><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+56.g76f43606dae)"><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>