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Docs for pull request 2019
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pulls/2019/_modules/dpctl/enum_types.html

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@@ -859,7 +859,7 @@ <h1>Source code for dpctl.enum_types</h1><div class="highlight"><pre>
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<span class="sd"> # create a SYCL device with OpenCL backend using filter selector</span>
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<span class="sd"> d = dpctl.SyclDevice(&quot;opencl&quot;)</span>
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<span class="sd"> print(d.backend)</span>
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<span class="sd"> d.backend</span>
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<span class="sd"> # Possible output: &lt;backend_type.opencl: 5&gt;</span>
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<span class="sd"> &quot;&quot;&quot;</span>
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@@ -884,7 +884,7 @@ <h1>Source code for dpctl.enum_types</h1><div class="highlight"><pre>
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<span class="sd"> import dpctl</span>
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<span class="sd"> ev = dpctl.SyclEvent()</span>
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<span class="sd"> print(ev.execution_status )</span>
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<span class="sd"> ev.execution_status</span>
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<span class="sd"> # Possible output: &lt;event_status_type.complete: 4&gt;</span>
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<span class="sd"> &quot;&quot;&quot;</span>
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@@ -908,7 +908,7 @@ <h1>Source code for dpctl.enum_types</h1><div class="highlight"><pre>
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<span class="sd"> import dpctl</span>
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<span class="sd"> dev = dpctl.SyclDevice()</span>
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<span class="sd"> print(dev.global_mem_cache_type)</span>
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<span class="sd"> dev.global_mem_cache_type</span>
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<span class="sd"> # Possible output: &lt;global_mem_cache_type.read_write: 4&gt;</span>
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<span class="sd"> &quot;&quot;&quot;</span>
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pulls/2019/api_reference/dpctl/constants.html

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@@ -841,7 +841,7 @@
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<span class="c1"># create a SYCL device with OpenCL backend using filter selector</span>
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<span class="n">d</span> <span class="o">=</span> <span class="n">dpctl</span><span class="o">.</span><span class="n">SyclDevice</span><span class="p">(</span><span class="s2">&quot;opencl&quot;</span><span class="p">)</span>
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<span class="nb">print</span><span class="p">(</span><span class="n">d</span><span class="o">.</span><span class="n">backend</span><span class="p">)</span>
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<span class="n">d</span><span class="o">.</span><span class="n">backend</span>
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<span class="c1"># Possible output: &lt;backend_type.opencl: 5&gt;</span>
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</pre></div>
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</div>
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<dt class="field-odd">Example<span class="colon">:</span></dt>
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<dd class="field-odd"><div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">dpctl</span>
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<span class="n">ev</span> <span class="o">=</span> <span class="n">dpctl</span><span class="o">.</span><span class="n">SyclEvent</span><span class="p">()</span>
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<span class="nb">print</span><span class="p">(</span><span class="n">ev</span><span class="o">.</span><span class="n">execution_status</span> <span class="p">)</span>
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<span class="n">ev</span><span class="o">.</span><span class="n">execution_status</span>
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<span class="c1"># Possible output: &lt;event_status_type.complete: 4&gt;</span>
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</pre></div>
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</div>
@@ -889,7 +889,7 @@
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<dt class="field-odd">Example<span class="colon">:</span></dt>
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<dd class="field-odd"><div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">dpctl</span>
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<span class="n">dev</span> <span class="o">=</span> <span class="n">dpctl</span><span class="o">.</span><span class="n">SyclDevice</span><span class="p">()</span>
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<span class="nb">print</span><span class="p">(</span><span class="n">dev</span><span class="o">.</span><span class="n">global_mem_cache_type</span><span class="p">)</span>
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<span class="n">dev</span><span class="o">.</span><span class="n">global_mem_cache_type</span>
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<span class="c1"># Possible output: &lt;global_mem_cache_type.read_write: 4&gt;</span>
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</pre></div>
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</div>

pulls/2019/beginners_guides/installation.html

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@@ -852,7 +852,7 @@ <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 v0.18.0dev0+29.g2956a29d383)"><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 v0.18.0dev0+30.g15b7644d6d0)"><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/2019/objects.inv

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pulls/2019/searchindex.js

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