Docs for pull request 1992

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

pulls/1992/_modules/dpctl/tensor/_copy_utils.html

@@ -906,7 +906,7 @@ <h1>Source code for dpctl.tensor._copy_utils</h1><div class="highlight"><pre>
 <span class="sd">        arg:</span>
 <span class="sd">            Input convertible to :class:`numpy.ndarray`</span>
 <span class="sd">        device (object): array API specification of device where the</span>
-<span class="sd">            output array is created. Device can be specified by a</span>
+<span class="sd">            output array is created. Device can be specified by</span>
 <span class="sd">            a filter selector string, an instance of</span>
 <span class="sd">            :class:`dpctl.SyclDevice`, an instance of</span>
 <span class="sd">            :class:`dpctl.SyclQueue`, or an instance of</span>
@@ -1400,7 +1400,7 @@ <h1>Source code for dpctl.tensor._copy_utils</h1><div class="highlight"><pre>
 <span class="sd">            If this keyword is set to `False`, a view of the input array</span>
 <span class="sd">            may be returned when possible.</span>
 <span class="sd">        device (object): array API specification of device where the</span>
-<span class="sd">            output array is created. Device can be specified by a</span>
+<span class="sd">            output array is created. Device can be specified by</span>
 <span class="sd">            a filter selector string, an instance of</span>
 <span class="sd">            :class:`dpctl.SyclDevice`, an instance of</span>
 <span class="sd">            :class:`dpctl.SyclQueue`, or an instance of</span>

pulls/1992/api_reference/dpctl/generated/dpctl.tensor.astype.html

@@ -806,7 +806,7 @@ <h1>dpctl.tensor.astype<a class="headerlink" href="#dpctl-tensor-astype" title="
 If this keyword is set to <cite>False</cite>, a view of the input array
 may be returned when possible.</p></li>
 <li><p><strong>device</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><em>object</em></a>) – array API specification of device where the
-output array is created. Device can be specified by a
+output array is created. Device can be specified by
 a filter selector string, an instance of
 <a class="reference internal" href="dpctl.SyclDevice.html#dpctl.SyclDevice" title="dpctl.SyclDevice"><code class="xref py py-class docutils literal notranslate"><span class="pre">dpctl.SyclDevice</span></code></a>, an instance of
 <a class="reference internal" href="dpctl.SyclQueue.html#dpctl.SyclQueue" title="dpctl.SyclQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">dpctl.SyclQueue</span></code></a>, or an instance of

pulls/1992/api_reference/dpctl/generated/dpctl.tensor.from_numpy.html

@@ -796,7 +796,7 @@ <h1>dpctl.tensor.from_numpy<a class="headerlink" href="#dpctl-tensor-from-numpy"
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>arg</strong> – Input convertible to <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">numpy.ndarray</span></code></a></p></li>
 <li><p><strong>device</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><em>object</em></a>) – array API specification of device where the
-output array is created. Device can be specified by a
+output array is created. Device can be specified by
 a filter selector string, an instance of
 <a class="reference internal" href="dpctl.SyclDevice.html#dpctl.SyclDevice" title="dpctl.SyclDevice"><code class="xref py py-class docutils literal notranslate"><span class="pre">dpctl.SyclDevice</span></code></a>, an instance of
 <a class="reference internal" href="dpctl.SyclQueue.html#dpctl.SyclQueue" title="dpctl.SyclQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">dpctl.SyclQueue</span></code></a>, or an instance of

pulls/1992/beginners_guides/installation.html

@@ -849,7 +849,7 @@ <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 v0.17.0dev6+18.gb09533e02bf)"><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 v0.17.0dev7+6.gfbb56beefda)"><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>