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Apply fallback to numpy for all unsupported functions on cuda devices. 46aa7bf 
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@@ -149,6 +149,7 @@ <h1>Source code for dpnp.dpnp_iface_logic</h1><div class="highlight"><pre>
149149
<span class="s2">&quot;iscomplex&quot;</span><span class="p">,</span>
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<span class="s2">&quot;iscomplexobj&quot;</span><span class="p">,</span>
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<span class="s2">&quot;isfinite&quot;</span><span class="p">,</span>
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<span class="s2">&quot;isfortran&quot;</span><span class="p">,</span>
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<span class="s2">&quot;isinf&quot;</span><span class="p">,</span>
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<span class="s2">&quot;isnan&quot;</span><span class="p">,</span>
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<span class="s2">&quot;isneginf&quot;</span><span class="p">,</span>
@@ -1100,6 +1101,79 @@ <h1>Source code for dpnp.dpnp_iface_logic</h1><div class="highlight"><pre>
11001101
<span class="p">)</span>
11011102

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<div class="viewcode-block" id="isfortran">
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<a class="viewcode-back" href="../../reference/generated/dpnp.isfortran.html#dpnp.isfortran">[docs]</a>
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<span class="k">def</span> <span class="nf">isfortran</span><span class="p">(</span><span class="n">a</span><span class="p">):</span>
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<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
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<span class="sd"> Check if the array is Fortran contiguous but *not* C contiguous.</span>
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<span class="sd"> This function is obsolete. If you only want to check if an array is Fortran</span>
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<span class="sd"> contiguous use ``a.flags.f_contiguous`` instead.</span>
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<span class="sd"> For full documentation refer to :obj:`numpy.isfortran`.</span>
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<span class="sd"> Parameters</span>
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<span class="sd"> ----------</span>
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<span class="sd"> a : {dpnp.ndarray, usm_ndarray}</span>
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<span class="sd"> Input array.</span>
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<span class="sd"> Returns</span>
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<span class="sd"> -------</span>
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<span class="sd"> isfortran : bool</span>
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<span class="sd"> Returns ``True`` if the array is Fortran contiguous</span>
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<span class="sd"> but *not* C contiguous.</span>
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<span class="sd"> Examples</span>
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<span class="sd"> --------</span>
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<span class="sd"> :obj:`dpnp.array` allows to specify whether the array is written in</span>
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<span class="sd"> C-contiguous order (last index varies the fastest), or FORTRAN-contiguous</span>
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<span class="sd"> order in memory (first index varies the fastest).</span>
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<span class="sd"> &gt;&gt;&gt; import dpnp as np</span>
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<span class="sd"> &gt;&gt;&gt; a = np.array([[1, 2, 3], [4, 5, 6]], order=&#39;C&#39;)</span>
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<span class="sd"> &gt;&gt;&gt; a</span>
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<span class="sd"> array([[1, 2, 3],</span>
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<span class="sd"> [4, 5, 6]])</span>
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<span class="sd"> &gt;&gt;&gt; np.isfortran(a)</span>
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<span class="sd"> False</span>
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<span class="sd"> &gt;&gt;&gt; b = np.array([[1, 2, 3], [4, 5, 6]], order=&#39;F&#39;)</span>
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<span class="sd"> &gt;&gt;&gt; b</span>
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<span class="sd"> array([[1, 2, 3],</span>
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<span class="sd"> [4, 5, 6]])</span>
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<span class="sd"> &gt;&gt;&gt; np.isfortran(b)</span>
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<span class="sd"> True</span>
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<span class="sd"> The transpose of a C-ordered array is a FORTRAN-ordered array.</span>
1148+
1149+
<span class="sd"> &gt;&gt;&gt; a = np.array([[1, 2, 3], [4, 5, 6]], order=&#39;C&#39;)</span>
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<span class="sd"> &gt;&gt;&gt; a</span>
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<span class="sd"> array([[1, 2, 3],</span>
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<span class="sd"> [4, 5, 6]])</span>
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<span class="sd"> &gt;&gt;&gt; np.isfortran(a)</span>
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<span class="sd"> False</span>
1155+
<span class="sd"> &gt;&gt;&gt; b = a.T</span>
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<span class="sd"> &gt;&gt;&gt; b</span>
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<span class="sd"> array([[1, 4],</span>
1158+
<span class="sd"> [2, 5],</span>
1159+
<span class="sd"> [3, 6]])</span>
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<span class="sd"> &gt;&gt;&gt; np.isfortran(b)</span>
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<span class="sd"> True</span>
1162+
1163+
<span class="sd"> C-ordered arrays evaluate as ``False`` even if they are also</span>
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<span class="sd"> FORTRAN-ordered.</span>
1165+
1166+
<span class="sd"> &gt;&gt;&gt; np.isfortran(np.array([1, 2], order=&#39;F&#39;))</span>
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<span class="sd"> False</span>
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<span class="sd"> &quot;&quot;&quot;</span>
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<span class="n">dpnp</span><span class="o">.</span><span class="n">check_supported_arrays_type</span><span class="p">(</span><span class="n">a</span><span class="p">)</span>
1172+
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<span class="k">return</span> <span class="n">a</span><span class="o">.</span><span class="n">flags</span><span class="o">.</span><span class="n">fnc</span></div>
1174+
1175+
1176+
11031177
<span class="n">_ISINF_DOCSTRING</span> <span class="o">=</span> <span class="s2">&quot;&quot;&quot;</span>
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<span class="s2">Test if each element of input array is an infinity.</span>
11051179

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