Merge pull request #1370 from IntelPython/feature/private_array

Add PrivateArray kernel_api be68c49

Author: github-actions[bot]

dev/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 8ccf7b1325d7387aedad36b4161c0c11
+config: 846715c8288a13b777fdfeb90aa7eb06
 tags: 645f666f9bcd5a90fca523b33c5a78b7

dev/_sources/autoapi/numba_dpex/experimental/_kernel_dpcpp_spirv_overloads/_private_array_overloads/index.rst.txt

@@ -0,0 +1,45 @@
+
+:orphan:
+
+numba_dpex.experimental._kernel_dpcpp_spirv_overloads._private_array_overloads
+==============================================================================
+
+.. py:module:: numba_dpex.experimental._kernel_dpcpp_spirv_overloads._private_array_overloads
+
+.. autoapi-nested-parse::
+
+   Implements the SPIR-V overloads for the kernel_api.PrivateArray class.
+
+
+
+Overview
+--------
+
+
+.. list-table:: Function
+   :header-rows: 0
+   :widths: auto
+   :class: summarytable
+
+   * - :py:obj:`ol_private_array_ctor <numba_dpex.experimental._kernel_dpcpp_spirv_overloads._private_array_overloads.ol_private_array_ctor>`\ (shape, dtype)
+     - Overload of the constructor for the class
+
+
+
+
+Functions
+---------
+.. py:function:: ol_private_array_ctor(shape, dtype)
+
+   Overload of the constructor for the class
+   class:`numba_dpex.kernel_api.PrivateArray`.
+
+   :raises errors.TypingError: If the shape argument is not a shape compatible
+       type.
+   :raises errors.TypingError: If the dtype argument is not a dtype compatible
+       type.
+
+
+
+
+

dev/_sources/autoapi/numba_dpex/kernel_api/index.rst.txt

@@ -35,6 +35,8 @@ Overview
      - An enumeration of the supported ``sycl::memory_order`` values.
    * - :py:obj:`MemoryScope <numba_dpex.kernel_api.MemoryScope>`
      - An enumeration of the supported ``sycl::memory_scope`` values.
+   * - :py:obj:`PrivateArray <numba_dpex.kernel_api.PrivateArray>`
+     - The ``PrivateArray`` class is an simple version of array intended to be used
    * - :py:obj:`NdRange <numba_dpex.kernel_api.NdRange>`
      - A class to encapsulate all kernel launch parameters.
    * - :py:obj:`Range <numba_dpex.kernel_api.Range>`
@@ -677,6 +679,14 @@ Classes
 
 
 
+.. py:class:: PrivateArray(shape, dtype)
+
+   The ``PrivateArray`` class is an simple version of array intended to be used
+   inside kernel work item.
+
+
+
+
 .. py:class:: NdRange(global_size, local_size)
 
    A class to encapsulate all kernel launch parameters.

dev/_sources/autoapi/numba_dpex/kernel_api/private_array/index.rst.txt

@@ -0,0 +1,44 @@
+
+:orphan:
+
+numba_dpex.kernel_api.private_array
+===================================
+
+.. py:module:: numba_dpex.kernel_api.private_array
+
+.. autoapi-nested-parse::
+
+   Implements a simple array intended to be used inside kernel work item.
+   Implementation is intended to be used in pure Python code when prototyping a
+   kernel function.
+
+
+
+Overview
+--------
+
+.. list-table:: Classes
+   :header-rows: 0
+   :widths: auto
+   :class: summarytable
+
+   * - :py:obj:`PrivateArray <numba_dpex.kernel_api.private_array.PrivateArray>`
+     - The ``PrivateArray`` class is an simple version of array intended to be used
+
+
+
+
+Classes
+-------
+
+.. py:class:: PrivateArray(shape, dtype)
+
+   The ``PrivateArray`` class is an simple version of array intended to be used
+   inside kernel work item.
+
+
+
+
+
+
+

dev/autoapi/numba_dpex/experimental/_kernel_dpcpp_spirv_overloads/_private_array_overloads/index.html

@@ -278,10 +278,13 @@ <h2>Overview<a class="headerlink" href="#overview" title="Link to this heading">
 <tr class="row-odd"><td><p><a class="reference internal" href="#numba_dpex.kernel_api.MemoryScope" title="numba_dpex.kernel_api.MemoryScope"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MemoryScope</span></code></a></p></td>
 <td><p>An enumeration of the supported <code class="docutils literal notranslate"><span class="pre">sycl::memory_scope</span></code> values.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#numba_dpex.kernel_api.NdRange" title="numba_dpex.kernel_api.NdRange"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NdRange</span></code></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#numba_dpex.kernel_api.PrivateArray" title="numba_dpex.kernel_api.PrivateArray"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PrivateArray</span></code></a></p></td>
+<td><p>The <code class="docutils literal notranslate"><span class="pre">PrivateArray</span></code> class is an simple version of array intended to be used</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#numba_dpex.kernel_api.NdRange" title="numba_dpex.kernel_api.NdRange"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NdRange</span></code></a></p></td>
 <td><p>A class to encapsulate all kernel launch parameters.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#numba_dpex.kernel_api.Range" title="numba_dpex.kernel_api.Range"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Range</span></code></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#numba_dpex.kernel_api.Range" title="numba_dpex.kernel_api.Range"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Range</span></code></a></p></td>
 <td><p>A data structure to encapsulate a single kernel launch parameter.</p></td>
 </tr>
 </tbody>
@@ -1085,6 +1088,13 @@ <h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 
 </dd></dl>
 
+<dl class="py class">
+<dt class="sig sig-object py" id="numba_dpex.kernel_api.PrivateArray">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">PrivateArray</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#numba_dpex.kernel_api.PrivateArray" title="Link to this definition">#</a></dt>
+<dd><p>The <code class="docutils literal notranslate"><span class="pre">PrivateArray</span></code> class is an simple version of array intended to be used
+inside kernel work item.</p>
+</dd></dl>
+
 <dl class="py class">
 <dt class="sig sig-object py" id="numba_dpex.kernel_api.NdRange">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">NdRange</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">global_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">local_size</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#numba_dpex.kernel_api.NdRange" title="Link to this definition">#</a></dt>
@@ -1398,6 +1408,7 @@ <h2>Functions<a class="headerlink" href="#functions" title="Link to this heading
 <li><a class="reference internal" href="#numba_dpex.kernel_api.MemoryScope.SYSTEM"><code class="docutils literal notranslate"><span class="pre">MemoryScope.SYSTEM</span></code></a></li>
 </ul>
 </li>
+<li><a class="reference internal" href="#numba_dpex.kernel_api.PrivateArray"><code class="docutils literal notranslate"><span class="pre">PrivateArray</span></code></a></li>
 <li><a class="reference internal" href="#numba_dpex.kernel_api.NdRange"><code class="docutils literal notranslate"><span class="pre">NdRange</span></code></a><ul>
 <li><a class="reference internal" href="#numba_dpex.kernel_api.NdRange.get_global_range"><code class="docutils literal notranslate"><span class="pre">NdRange.get_global_range()</span></code></a></li>
 <li><a class="reference internal" href="#numba_dpex.kernel_api.NdRange.get_local_range"><code class="docutils literal notranslate"><span class="pre">NdRange.get_local_range()</span></code></a></li>