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Docs for pull request 2122
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pulls/2122/_modules/dpctl/tensor/_copy_utils.html

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@@ -1537,7 +1537,7 @@ <h1>Source code for dpctl.tensor._copy_utils</h1><div class="highlight"><pre>
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<span class="p">)</span>
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<span class="c1"># see #2121</span>
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<span class="k">if</span> <span class="n">ary_dtype</span> <span class="o">==</span> <span class="n">dpt</span><span class="o">.</span><span class="n">bool</span><span class="p">:</span>
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<span class="n">usm_ary</span> <span class="o">=</span> <span class="n">dpt</span><span class="o">.</span><span class="n">not_equal</span><span class="p">(</span><span class="n">usm_ary</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="n">order</span><span class="p">)</span>
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<span class="n">usm_ary</span> <span class="o">=</span> <span class="n">dpt</span><span class="o">.</span><span class="n">not_equal</span><span class="p">(</span><span class="n">usm_ary</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="n">copy_order</span><span class="p">)</span>
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<span class="n">_copy_from_usm_ndarray_to_usm_ndarray</span><span class="p">(</span><span class="n">R</span><span class="p">,</span> <span class="n">usm_ary</span><span class="p">)</span>
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<span class="k">return</span> <span class="n">R</span></div>
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pulls/2122/beginners_guides/installation.html

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@@ -867,7 +867,7 @@ <h2>Installation using pip<a class="headerlink" href="#installation-using-pip" t
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<section id="installation-via-intel-r-distribution-for-python">
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<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>
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<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
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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 v0.19.0dev1+2.gd15d395fe58)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">dpnp</span></code></a>
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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 v0.19.0dev1+3.g9b73305babb)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">dpnp</span></code></a>
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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>
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<p>Once the installed environment is activated, <code class="docutils literal notranslate"><span class="pre">dpctl</span></code> should be ready to use.</p>
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</section>

pulls/2122/objects.inv

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