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Add implementation of dpnp.i0 (#2118)
* Implement dpnp.i0 function * Add sycl::half type to matrix * Add third party test * Add more tests * Add CFD tests * Remove redundant code for i0 kernel * Fix typo in docstring * Add tests with NaN and Inf values * Add a proper math include based on compiler version * Define proper DPC++ version where sycl::ext::intel::math::cyl_bessel_i0(x) works --------- Co-authored-by: vtavana <[email protected]> 0e50556
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@@ -145,6 +145,7 @@ <h1>Source code for dpnp.dpnp_iface_mathematical</h1><div class="highlight"><pre
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<span class="kn">from</span> <span class="nn">.dpnp_algo</span> <span class="kn">import</span> <span class="n">dpnp_modf</span>
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<span class="s2">&quot;gradient&quot;</span><span class="p">,</span>
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<span class="s2">&quot;heaviside&quot;</span><span class="p">,</span>
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<span class="p">)</span>
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<span class="n">_I0_DOCSTRING</span> <span class="o">=</span> <span class="s2">&quot;&quot;&quot;</span>
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<span class="s2">Modified Bessel function of the first kind, order 0.</span>
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<span class="s2">Usually denoted :math:`I_0`.</span>
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<span class="s2">For full documentation refer to :obj:`numpy.i0`.</span>
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<span class="s2">Parameters</span>
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<span class="s2">----------</span>
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<span class="s2">x : {dpnp.ndarray, usm_ndarray}</span>
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<span class="s2"> Argument of the Bessel function, expected to have floating-point data type.</span>
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<span class="s2"> Output array to populate.</span>
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<span class="s2"> Default: ``None``.</span>
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<span class="s2">order : {&quot;C&quot;, &quot;F&quot;, &quot;A&quot;, &quot;K&quot;}, optional</span>
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<span class="s2"> Memory layout of the newly output array, if parameter `out` is ``None``.</span>
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<span class="s2"> Default: ``&quot;K&quot;``.</span>
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<span class="s2"> The modified Bessel function evaluated at each of the elements of `x`.</span>
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<span class="s2"> If the input is of either boolean or integer data type, the returned array</span>
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<span class="s2"> will have the default floating point data type of a device where `x` has</span>
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<span class="s2"> been allocated. Otherwise the returned array has the same data type.</span>
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<span class="s2">Examples</span>
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<span class="s2">--------</span>
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<span class="s2">&gt;&gt;&gt; import dpnp as np</span>
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<span class="s2">&gt;&gt;&gt; np.i0(np.array(0.0))</span>
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<span class="s2">array(1.)</span>
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<span class="s2">&gt;&gt;&gt; np.i0(np.array([0, 1, 2, 3]))</span>
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<span class="s2">array([1. , 1.26606588, 2.2795853 , 4.88079259])</span>
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<span class="s2">&quot;&quot;&quot;</span>
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<span class="n">i0</span> <span class="o">=</span> <span class="n">DPNPI0</span><span class="p">(</span>
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<span class="s2">&quot;i0&quot;</span><span class="p">,</span>
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<span class="n">ufi</span><span class="o">.</span><span class="n">_i0_result_type</span><span class="p">,</span>
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<span class="n">ufi</span><span class="o">.</span><span class="n">_i0</span><span class="p">,</span>
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<span class="n">_I0_DOCSTRING</span><span class="p">,</span>
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<span class="p">)</span>
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<span class="n">_IMAG_DOCSTRING</span> <span class="o">=</span> <span class="s2">&quot;&quot;&quot;</span>
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<span class="s2">Computes imaginary part of each element `x_i` for input array `x`.</span>
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