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Add missing stream keyword argument to dpnp.ndarray.to_device method f8b5d3d 
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‎pull/2263/.buildinfo

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# Sphinx build info version 1
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# This file records the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: 736c5a25b7bec090e80b28fab2c15734
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config: ff0a2a28ffe128347bbaac2ae5813e09
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‎pull/2263/_modules/dpnp/dpnp_array.html

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</script>
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<title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.17.0dev4+7.g1dc89488da4 documentation</title>
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<title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.17.0dev4+12.gf8b5d3d2aa9 documentation</title>
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@@ -1904,7 +1904,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
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<span class="sd"> corresponding to a non-partitioned SYCL device, an instance of</span>
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<span class="sd"> :class:`dpctl.SyclQueue`, or a :class:`dpctl.tensor.Device` object</span>
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<span class="sd"> returned by :obj:`dpnp.dpnp_array.dpnp_array.device` property.</span>
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<span class="sd"> stream : SyclQueue, optional</span>
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<span class="sd"> stream : {SyclQueue, None}, optional</span>
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<span class="sd"> Execution queue to synchronize with. If ``None``, synchronization</span>
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<span class="sd"> is not performed.</span>
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<span class="sd"> Default: ``None``.</span>

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‎pull/2263/_modules/dpnp/dpnp_iface.html

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@@ -153,6 +153,7 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
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<span class="s2">&quot;get_result_array&quot;</span><span class="p">,</span>
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<span class="s2">&quot;get_usm_ndarray&quot;</span><span class="p">,</span>
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<span class="s2">&quot;get_usm_ndarray_or_scalar&quot;</span><span class="p">,</span>
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<span class="s2">&quot;is_cuda_backend&quot;</span><span class="p">,</span>
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<span class="s2">&quot;is_supported_array_or_scalar&quot;</span><span class="p">,</span>
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<span class="s2">&quot;is_supported_array_type&quot;</span><span class="p">,</span>
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<span class="s2">&quot;synchronize_array_data&quot;</span><span class="p">,</span>
@@ -775,6 +776,41 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
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<span class="k">return</span> <span class="n">a</span> <span class="k">if</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">isscalar</span><span class="p">(</span><span class="n">a</span><span class="p">)</span> <span class="k">else</span> <span class="n">get_usm_ndarray</span><span class="p">(</span><span class="n">a</span><span class="p">)</span>
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<span class="k">def</span><span class="w"> </span><span class="nf">is_cuda_backend</span><span class="p">(</span><span class="n">obj</span><span class="o">=</span><span class="kc">None</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"> Checks that object has a CUDA backend.</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"> obj : {Device, SyclDevice, SyclQueue, dpnp.ndarray, usm_ndarray, None},</span>
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<span class="sd"> optional</span>
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<span class="sd"> An input object with sycl_device property to check device backend.</span>
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<span class="sd"> If `obj` is ``None``, device backend will be checked for the default</span>
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<span class="sd"> queue.</span>
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<span class="sd"> Default: ``None``.</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"> out : bool</span>
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<span class="sd"> Return ``True`` if data of the input object resides on a CUDA backend,</span>
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<span class="sd"> otherwise ``False``.</span>
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<span class="sd"> &quot;&quot;&quot;</span>
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<span class="k">if</span> <span class="n">obj</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
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<span class="n">sycl_device</span> <span class="o">=</span> <span class="n">dpctl</span><span class="o">.</span><span class="n">select_default_device</span><span class="p">()</span>
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<span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">obj</span><span class="p">,</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="n">sycl_device</span> <span class="o">=</span> <span class="n">obj</span>
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<span class="k">else</span><span class="p">:</span>
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<span class="n">sycl_device</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="s2">&quot;sycl_device&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
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<span class="k">if</span> <span class="p">(</span>
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<span class="n">sycl_device</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
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<span class="ow">and</span> <span class="n">sycl_device</span><span class="o">.</span><span class="n">backend</span> <span class="o">==</span> <span class="n">dpctl</span><span class="o">.</span><span class="n">backend_type</span><span class="o">.</span><span class="n">cuda</span>
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<span class="p">):</span>
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<span class="k">return</span> <span class="kc">True</span>
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<span class="k">return</span> <span class="kc">False</span>
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<span class="k">def</span><span class="w"> </span><span class="nf">is_supported_array_or_scalar</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"> Return ``True`` if `a` is a scalar or an array of either</span>

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<span class="sd"> :obj:`dpnp.take_along_axis` : Preferable if choices is an array.</span>
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<span class="n">x1_desc</span> <span class="o">=</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">get_dpnp_descriptor</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">copy_when_nondefault_queue</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
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<span class="p">)</span>
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<span class="s2">&quot;Running on CUDA is currently not supported&quot;</span>
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<span class="p">)</span>
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‎pull/2263/_modules/dpnp/dpnp_iface_libmath.html

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<span class="n">in_array1</span><span class="p">,</span> <span class="n">copy_when_strides</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">copy_when_nondefault_queue</span><span class="o">=</span><span class="kc">False</span>
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<span class="k">if</span> <span class="n">x1_desc</span><span class="p">:</span>
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<span class="k">if</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">is_cuda_backend</span><span class="p">(</span><span class="n">x1_desc</span><span class="o">.</span><span class="n">get_array</span><span class="p">()):</span>
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<span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">(</span>
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<span class="s2">&quot;Running on CUDA is currently not supported&quot;</span>
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<span class="p">)</span>
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<span class="k">return</span> <span class="n">dpnp_erf</span><span class="p">(</span><span class="n">x1_desc</span><span class="p">)</span><span class="o">.</span><span class="n">get_pyobj</span><span class="p">()</span>
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<span class="n">result</span> <span class="o">=</span> <span class="n">create_output_descriptor_py</span><span class="p">(</span>

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