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@@ -357,26 +357,6 @@ <h2>CUDA Python workflow<a class="headerlink" href="#cuda-python-workflow" title
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-<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="gt">---------------------------------------------------------------------------</span>
-<span class="ne">RuntimeError</span><span class="g g-Whitespace">                              </span>Traceback (most recent call last)
-<span class="n">Cell</span> <span class="n">In</span><span class="p">[</span><span class="mi">4</span><span class="p">],</span> <span class="n">line</span> <span class="mi">2</span>
-<span class="g g-Whitespace">      </span><span class="mi">1</span> <span class="c1"># Initialize CUDA Driver API</span>
-<span class="ne">----&gt; </span><span class="mi">2</span> <span class="n">checkCudaErrors</span><span class="p">(</span><span class="n">cuda</span><span class="o">.</span><span class="n">cuInit</span><span class="p">(</span><span class="mi">0</span><span class="p">))</span>
-<span class="g g-Whitespace">      </span><span class="mi">4</span> <span class="c1"># Retrieve handle for device 0</span>
-<span class="g g-Whitespace">      </span><span class="mi">5</span> <span class="n">cuDevice</span> <span class="o">=</span> <span class="n">checkCudaErrors</span><span class="p">(</span><span class="n">cuda</span><span class="o">.</span><span class="n">cuDeviceGet</span><span class="p">(</span><span class="mi">0</span><span class="p">))</span>
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-<span class="nn">Cell In[2], line 12,</span> in <span class="ni">checkCudaErrors</span><span class="nt">(result)</span>
-<span class="g g-Whitespace">     </span><span class="mi">10</span> <span class="k">def</span> <span class="nf">checkCudaErrors</span><span class="p">(</span><span class="n">result</span><span class="p">):</span>
-<span class="g g-Whitespace">     </span><span class="mi">11</span>     <span class="k">if</span> <span class="n">result</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">value</span><span class="p">:</span>
-<span class="ne">---&gt; </span><span class="mi">12</span>         <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">&quot;CUDA error code=</span><span class="si">{}</span><span class="s2">(</span><span class="si">{}</span><span class="s2">)&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">result</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">value</span><span class="p">,</span> <span class="n">_cudaGetErrorEnum</span><span class="p">(</span><span class="n">result</span><span class="p">[</span><span class="mi">0</span><span class="p">])))</span>
-<span class="g g-Whitespace">     </span><span class="mi">13</span>     <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">result</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
-<span class="g g-Whitespace">     </span><span class="mi">14</span>         <span class="k">return</span> <span class="kc">None</span>
-
-<span class="ne">RuntimeError</span>: CUDA error code=804(b&#39;CUDA_ERROR_COMPAT_NOT_SUPPORTED_ON_DEVICE&#39;)
-</pre></div>
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 <p>Before you can use the PTX or do any work on the GPU, you must create a CUDA
 context. CUDA contexts are analogous to host processes for the device. In the