Leverage on dpctl.tensor implementation in dpnp.diff e1dc5b3

Author: github-actions[bot]

pull/1963/.buildinfo

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pull/1963/_modules/dpnp/dpnp_array.html

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pull/1963/_modules/dpnp/dpnp_flatiter.html

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-  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.16.0dev0+103.g1c9d733e66 documentation</title>
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pull/1963/_modules/dpnp/dpnp_iface.html

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-  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.16.0dev0+103.g1c9d733e66 documentation</title>
+  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.16.0dev0+105.ge1dc5b3bb documentation</title>
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pull/1963/_modules/dpnp/dpnp_iface_arraycreation.html

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pull/1963/_modules/dpnp/dpnp_iface_counting.html

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pull/1963/_modules/dpnp/dpnp_iface_histograms.html

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pull/1963/_modules/dpnp/dpnp_iface_libmath.html

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pull/1963/_modules/dpnp/dpnp_iface_linearalgebra.html

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pull/1963/_modules/dpnp/dpnp_iface_manipulation.html

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pull/1963/_modules/dpnp/dpnp_iface_mathematical.html

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+  <title>dpnp.dpnp_iface_mathematical &mdash; Data Parallel Extension for NumPy 0.16.0dev0+105.ge1dc5b3bb documentation</title>
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@@ -3352,8 +3352,6 @@ <h1>Source code for dpnp.dpnp_iface_mathematical</h1><div class="highlight"><pre
 
 
 
-<div class="viewcode-block" id="trapz">
-<a class="viewcode-back" href="../../reference/generated/dpnp.trapz.html#dpnp.trapz">[docs]</a>
 <span class="k">def</span> <span class="nf">trapz</span><span class="p">(</span><span class="n">y1</span><span class="p">,</span> <span class="n">x1</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">dx</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Integrate along the given axis using the composite trapezoidal rule.</span>
@@ -3381,8 +3379,7 @@ <h1>Source code for dpnp.dpnp_iface_mathematical</h1><div class="highlight"><pre
 
 <span class="sd">    &quot;&quot;&quot;</span>
 
-    <span class="k">return</span> <span class="n">call_origin</span><span class="p">(</span><span class="n">numpy</span><span class="o">.</span><span class="n">trapz</span><span class="p">,</span> <span class="n">y1</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">dx</span><span class="p">,</span> <span class="n">axis</span><span class="p">)</span></div>
-
+    <span class="k">return</span> <span class="n">call_origin</span><span class="p">(</span><span class="n">numpy</span><span class="o">.</span><span class="n">trapz</span><span class="p">,</span> <span class="n">y1</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">dx</span><span class="p">,</span> <span class="n">axis</span><span class="p">)</span>
 
 
 <span class="n">true_divide</span> <span class="o">=</span> <span class="n">divide</span>