Docs for pull request 1935

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

pulls/1935/_modules/dpctl/tensor/_indexing_functions.html

@@ -1303,7 +1303,11 @@ <h1>Source code for dpctl.tensor._indexing_functions</h1><div class="highlight">
             <span class="s2">&quot;from input arguments. &quot;</span>
         <span class="p">)</span>
     <span class="n">mode_i</span> <span class="o">=</span> <span class="n">_get_indexing_mode</span><span class="p">(</span><span class="n">mode</span><span class="p">)</span>
-    <span class="n">indexes_dt</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">exec_q</span><span class="o">.</span><span class="n">sycl_device</span><span class="p">)</span>
+    <span class="n">indexes_dt</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="n">dpt</span><span class="o">.</span><span class="n">uint64</span>
+        <span class="k">if</span> <span class="n">indices</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">dpt</span><span class="o">.</span><span class="n">uint64</span>
+        <span class="k">else</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">exec_q</span><span class="o">.</span><span class="n">sycl_device</span><span class="p">)</span>
+    <span class="p">)</span>
     <span class="n">_ind</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">(</span>
         <span class="p">(</span>
             <span class="n">indices</span>
@@ -1379,7 +1383,11 @@ <h1>Source code for dpctl.tensor._indexing_functions</h1><div class="highlight">
         <span class="p">)</span>
     <span class="n">out_usm_type</span> <span class="o">=</span> <span class="n">dpctl</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">get_coerced_usm_type</span><span class="p">(</span><span class="n">usm_types_</span><span class="p">)</span>
     <span class="n">mode_i</span> <span class="o">=</span> <span class="n">_get_indexing_mode</span><span class="p">(</span><span class="n">mode</span><span class="p">)</span>
-    <span class="n">indexes_dt</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">exec_q</span><span class="o">.</span><span class="n">sycl_device</span><span class="p">)</span>
+    <span class="n">indexes_dt</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="n">dpt</span><span class="o">.</span><span class="n">uint64</span>
+        <span class="k">if</span> <span class="n">indices</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">dpt</span><span class="o">.</span><span class="n">uint64</span>
+        <span class="k">else</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">exec_q</span><span class="o">.</span><span class="n">sycl_device</span><span class="p">)</span>
+    <span class="p">)</span>
     <span class="n">_ind</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">(</span>
         <span class="p">(</span>
             <span class="n">indices</span>

pulls/1935/beginners_guides/installation.html

@@ -881,7 +881,7 @@ <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 v0.17.0dev3+21.gcf2a106a505)"><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 v0.17.0dev3+24.g5096a7dc3bc)"><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>