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 <div class="header">
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 <a href="#pub-methods">Public Member Functions</a>  </div>
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 <div class="title">CaffePreproccessor Class Reference</div>  </div>
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 <p>Caffe preproccessor.
  <a href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml#details">More...</a></p>

 <p><code>#include &lt;<a class="el" href="_graph_utils_8h_source.xhtml">GraphUtils.h</a>&gt;</code></p>
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 Collaboration diagram for CaffePreproccessor:</div>
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 Public Member Functions</h2></td></tr>
 <tr class="memitem:a17f1b10d24fd28928777ee5c62c9cbfb"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml#a17f1b10d24fd28928777ee5c62c9cbfb">CaffePreproccessor</a> (std::array&lt; float, 3 &gt; mean=std::array&lt; float, 3 &gt; { { 0, 0, 0 } }, bool bgr=true, float scale=1.f)</td></tr>
 <tr class="memdesc:a17f1b10d24fd28928777ee5c62c9cbfb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default Constructor.  <a href="#a17f1b10d24fd28928777ee5c62c9cbfb">More...</a><br /></td></tr>
 <tr class="separator:a17f1b10d24fd28928777ee5c62c9cbfb"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a1545d087d050b8e9733e7e212df73666"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml#a1545d087d050b8e9733e7e212df73666">preprocess</a> (<a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &amp;tensor) override</td></tr>
 <tr class="memdesc:a1545d087d050b8e9733e7e212df73666"><td class="mdescLeft">&#160;</td><td class="mdescRight">Preprocess the given tensor.  <a href="#a1545d087d050b8e9733e7e212df73666">More...</a><br /></td></tr>
 <tr class="separator:a1545d087d050b8e9733e7e212df73666"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="inherit_header pub_methods_classarm__compute_1_1graph__utils_1_1_i_preprocessor"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1graph__utils_1_1_i_preprocessor')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml">IPreprocessor</a></td></tr>
 <tr class="memitem:a145ae89877c556306c3b0a8d869b33f3 inherit pub_methods_classarm__compute_1_1graph__utils_1_1_i_preprocessor"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#a145ae89877c556306c3b0a8d869b33f3">~IPreprocessor</a> ()=default</td></tr>
 <tr class="memdesc:a145ae89877c556306c3b0a8d869b33f3 inherit pub_methods_classarm__compute_1_1graph__utils_1_1_i_preprocessor"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor.  <a href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#a145ae89877c556306c3b0a8d869b33f3">More...</a><br /></td></tr>
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 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 <div class="textblock"><p>Caffe preproccessor. </p>

 <p class="definition">Definition at line <a class="el" href="_graph_utils_8h_source.xhtml#l00060">60</a> of file <a class="el" href="_graph_utils_8h_source.xhtml">GraphUtils.h</a>.</p>
 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 <a id="a17f1b10d24fd28928777ee5c62c9cbfb"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a17f1b10d24fd28928777ee5c62c9cbfb">&#9670;&nbsp;</a></span>CaffePreproccessor()</h2>

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           <td class="memname"><a class="el" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml">CaffePreproccessor</a> </td>
           <td>(</td>
           <td class="paramtype">std::array&lt; float, 3 &gt;&#160;</td>
           <td class="paramname"><em>mean</em> = <code>std::array&lt;float,&#160;3&gt;&#160;{&#160;{&#160;0,&#160;0,&#160;0&#160;}&#160;}</code>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">bool&#160;</td>
           <td class="paramname"><em>bgr</em> = <code>true</code>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">float&#160;</td>
           <td class="paramname"><em>scale</em> = <code>1.f</code>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
           <td></td><td></td>
         </tr>
       </table>
 </div><div class="memdoc">

 <p>Default Constructor. </p>
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <tr><td class="paramdir">[in]</td><td class="paramname">mean</td><td>Mean array in RGB ordering </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">bgr</td><td>Boolean specifying if the preprocessing should assume BGR format </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">scale</td><td>Scale value </td></tr>
   </table>
   </dd>
 </dl>

 <p class="definition">Definition at line <a class="el" href="_graph_utils_8cpp_source.xhtml#l00080">80</a> of file <a class="el" href="_graph_utils_8cpp_source.xhtml">GraphUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    : _mean(mean), _bgr(bgr), _scale(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>)</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;{</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <span class="keywordflow">if</span>(_bgr)</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    {</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;        <a class="code" href="namespacearm__compute.xhtml#ae70b8de3a0b147a476cabb07b8707d7f">std::swap</a>(_mean[0], _mean[2]);</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    }</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acec6d8ad52a28972fa74e071c1a63b6a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">arm_compute::test::validation::scale</a></div><div class="ttdeci">scale</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_pixel_wise_multiplication_8cpp_source.xhtml#l00317">PixelWiseMultiplication.cpp:317</a></div></div>
 <div class="ttc" id="namespacearm__compute_xhtml_ae70b8de3a0b147a476cabb07b8707d7f"><div class="ttname"><a href="namespacearm__compute.xhtml#ae70b8de3a0b147a476cabb07b8707d7f">arm_compute::swap</a></div><div class="ttdeci">void swap(Window &amp;lhs, Window &amp;rhs)</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00278">Window.inl:278</a></div></div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_window_8inl_source.xhtml#l00278">arm_compute::swap()</a>.</p>

 </div>
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 <h2 class="groupheader">Member Function Documentation</h2>
 <a id="a1545d087d050b8e9733e7e212df73666"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a1545d087d050b8e9733e7e212df73666">&#9670;&nbsp;</a></span>preprocess()</h2>

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           <td class="memname">void preprocess </td>
           <td>(</td>
           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &amp;&#160;</td>
           <td class="paramname"><em>tensor</em></td><td>)</td>
           <td></td>
         </tr>
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 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
   </tr>
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 </div><div class="memdoc">

 <p>Preprocess the given tensor. </p>
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface.">Tensor</a> to preprocess. </td></tr>
   </table>
   </dd>
 </dl>

 <p>Implements <a class="el" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f">IPreprocessor</a>.</p>

 <p class="definition">Definition at line <a class="el" href="_graph_utils_8cpp_source.xhtml#l00089">89</a> of file <a class="el" href="_graph_utils_8cpp_source.xhtml">GraphUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;{</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    Window window;</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    window.use_tensor_dimensions(tensor.info()-&gt;tensor_shape());</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> channel_idx = <a class="code" href="namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db">get_data_layout_dimension_index</a>(tensor.info()-&gt;data_layout(), <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>);</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(window, [&amp;](<span class="keyword">const</span> Coordinates &amp; <span class="keywordtype">id</span>)</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    {</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">float</span> value                                     = *reinterpret_cast&lt;float *&gt;(tensor.ptr_to_element(<span class="keywordtype">id</span>)) - _mean[<span class="keywordtype">id</span>[channel_idx]];</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;        *reinterpret_cast&lt;float *&gt;(tensor.ptr_to_element(<span class="keywordtype">id</span>)) = value * _scale;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    });</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;}</div><div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">arm_compute::DataLayoutDimension::CHANNEL</a></div><div class="ttdoc">channel</div></div>
 <div class="ttc" id="namespacearm__compute_xhtml_a5002bf7ec46d52971f9526e94172cfee"><div class="ttname"><a href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">arm_compute::execute_window_loop</a></div><div class="ttdeci">void execute_window_loop(const Window &amp;w, L &amp;&amp;lambda_function, Ts &amp;&amp;... iterators)</div><div class="ttdoc">Iterate through the passed window, automatically adjusting the iterators and calling the lambda_funct...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00122">Helpers.inl:122</a></div></div>
 <div class="ttc" id="namespacearm__compute_xhtml_a46e938020a3ac8c926d0590b7fe957db"><div class="ttname"><a href="namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db">arm_compute::get_data_layout_dimension_index</a></div><div class="ttdeci">size_t get_data_layout_dimension_index(const DataLayout data_layout, const DataLayoutDimension data_layout_dimension)</div><div class="ttdoc">Get the index of the given dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00326">Helpers.inl:326</a></div></div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">arm_compute::CHANNEL</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">ITensorInfo::data_layout()</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00122">arm_compute::execute_window_loop()</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00326">arm_compute::get_data_layout_dimension_index()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, and <a class="el" href="_window_8inl_source.xhtml#l00250">Window::use_tensor_dimensions()</a>.</p>

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 <hr/>The documentation for this class was generated from the following files:<ul>
 <li>utils/<a class="el" href="_graph_utils_8h_source.xhtml">GraphUtils.h</a></li>
 <li>utils/<a class="el" href="_graph_utils_8cpp_source.xhtml">GraphUtils.cpp</a></li>
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	<div class="header">
	<div class="summary">
	<a href="#pub-methods">Public Member Functions</a> </div>
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	<div class="title">CaffePreproccessor Class Reference</div> </div>
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	<div class="contents">

	<p>Caffe preproccessor.
	<a href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml#details">More...</a></p>

	<p><code>#include <<a class="el" href="_graph_utils_8h_source.xhtml">GraphUtils.h</a>></code></p>
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	Collaboration diagram for CaffePreproccessor:</div>
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	<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
	Public Member Functions</h2></td></tr>
	<tr class="memitem:a17f1b10d24fd28928777ee5c62c9cbfb"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml#a17f1b10d24fd28928777ee5c62c9cbfb">CaffePreproccessor</a> (std::array< float, 3 > mean=std::array< float, 3 > { { 0, 0, 0 } }, bool bgr=true, float scale=1.f)</td></tr>
	<tr class="memdesc:a17f1b10d24fd28928777ee5c62c9cbfb"><td class="mdescLeft"> </td><td class="mdescRight">Default Constructor. <a href="#a17f1b10d24fd28928777ee5c62c9cbfb">More...</a><br /></td></tr>
	<tr class="separator:a17f1b10d24fd28928777ee5c62c9cbfb"><td class="memSeparator" colspan="2"> </td></tr>
	<tr class="memitem:a1545d087d050b8e9733e7e212df73666"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml#a1545d087d050b8e9733e7e212df73666">preprocess</a> (<a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) override</td></tr>
	<tr class="memdesc:a1545d087d050b8e9733e7e212df73666"><td class="mdescLeft"> </td><td class="mdescRight">Preprocess the given tensor. <a href="#a1545d087d050b8e9733e7e212df73666">More...</a><br /></td></tr>
	<tr class="separator:a1545d087d050b8e9733e7e212df73666"><td class="memSeparator" colspan="2"> </td></tr>
	<tr class="inherit_header pub_methods_classarm__compute_1_1graph__utils_1_1_i_preprocessor"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1graph__utils_1_1_i_preprocessor')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml">IPreprocessor</a></td></tr>
	<tr class="memitem:a145ae89877c556306c3b0a8d869b33f3 inherit pub_methods_classarm__compute_1_1graph__utils_1_1_i_preprocessor"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#a145ae89877c556306c3b0a8d869b33f3">~IPreprocessor</a> ()=default</td></tr>
	<tr class="memdesc:a145ae89877c556306c3b0a8d869b33f3 inherit pub_methods_classarm__compute_1_1graph__utils_1_1_i_preprocessor"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#a145ae89877c556306c3b0a8d869b33f3">More...</a><br /></td></tr>
	<tr class="separator:a145ae89877c556306c3b0a8d869b33f3 inherit pub_methods_classarm__compute_1_1graph__utils_1_1_i_preprocessor"><td class="memSeparator" colspan="2"> </td></tr>
	</table>
	<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
	<div class="textblock"><p>Caffe preproccessor. </p>

	<p class="definition">Definition at line <a class="el" href="_graph_utils_8h_source.xhtml#l00060">60</a> of file <a class="el" href="_graph_utils_8h_source.xhtml">GraphUtils.h</a>.</p>
	</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
	<a id="a17f1b10d24fd28928777ee5c62c9cbfb"></a>
	<h2 class="memtitle"><span class="permalink"><a href="#a17f1b10d24fd28928777ee5c62c9cbfb">◆ </a></span>CaffePreproccessor()</h2>

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	<td class="memname"><a class="el" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml">CaffePreproccessor</a> </td>
	<td>(</td>
	<td class="paramtype">std::array< float, 3 > </td>
	<td class="paramname"><em>mean</em> = <code>std::array<float, 3> { { 0, 0, 0 } }</code>, </td>
	</tr>
	<tr>
	<td class="paramkey"></td>
	<td></td>
	<td class="paramtype">bool </td>
	<td class="paramname"><em>bgr</em> = <code>true</code>, </td>
	</tr>
	<tr>
	<td class="paramkey"></td>
	<td></td>
	<td class="paramtype">float </td>
	<td class="paramname"><em>scale</em> = <code>1.f</code> </td>
	</tr>
	<tr>
	<td></td>
	<td>)</td>
	<td></td><td></td>
	</tr>
	</table>
	</div><div class="memdoc">

	<p>Default Constructor. </p>
	<dl class="params"><dt>Parameters</dt><dd>
	<table class="params">
	<tr><td class="paramdir">[in]</td><td class="paramname">mean</td><td>Mean array in RGB ordering </td></tr>
	<tr><td class="paramdir">[in]</td><td class="paramname">bgr</td><td>Boolean specifying if the preprocessing should assume BGR format </td></tr>
	<tr><td class="paramdir">[in]</td><td class="paramname">scale</td><td>Scale value </td></tr>
	</table>
	</dd>
	</dl>

	<p class="definition">Definition at line <a class="el" href="_graph_utils_8cpp_source.xhtml#l00080">80</a> of file <a class="el" href="_graph_utils_8cpp_source.xhtml">GraphUtils.cpp</a>.</p>
	<div class="fragment"><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  : _mean(mean), _bgr(bgr), _scale(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>)</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">if</span>(_bgr)</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="namespacearm__compute.xhtml#ae70b8de3a0b147a476cabb07b8707d7f">std::swap</a>(_mean[0], _mean[2]);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  }</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acec6d8ad52a28972fa74e071c1a63b6a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">arm_compute::test::validation::scale</a></div><div class="ttdeci">scale</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_pixel_wise_multiplication_8cpp_source.xhtml#l00317">PixelWiseMultiplication.cpp:317</a></div></div>
	<div class="ttc" id="namespacearm__compute_xhtml_ae70b8de3a0b147a476cabb07b8707d7f"><div class="ttname"><a href="namespacearm__compute.xhtml#ae70b8de3a0b147a476cabb07b8707d7f">arm_compute::swap</a></div><div class="ttdeci">void swap(Window &lhs, Window &rhs)</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00278">Window.inl:278</a></div></div>
	</div><!-- fragment -->
	<p class="reference">References <a class="el" href="_window_8inl_source.xhtml#l00278">arm_compute::swap()</a>.</p>

	</div>
	</div>
	<h2 class="groupheader">Member Function Documentation</h2>
	<a id="a1545d087d050b8e9733e7e212df73666"></a>
	<h2 class="memtitle"><span class="permalink"><a href="#a1545d087d050b8e9733e7e212df73666">◆ </a></span>preprocess()</h2>

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	<td class="memname">void preprocess </td>
	<td>(</td>
	<td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> & </td>
	<td class="paramname"><em>tensor</em></td><td>)</td>
	<td></td>
	</tr>
	</table>
	</td>
	<td class="mlabels-right">
	<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
	</tr>
	</table>
	</div><div class="memdoc">

	<p>Preprocess the given tensor. </p>
	<dl class="params"><dt>Parameters</dt><dd>
	<table class="params">
	<tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface.">Tensor</a> to preprocess. </td></tr>
	</table>
	</dd>
	</dl>

	<p>Implements <a class="el" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f">IPreprocessor</a>.</p>

	<p class="definition">Definition at line <a class="el" href="_graph_utils_8cpp_source.xhtml#l00089">89</a> of file <a class="el" href="_graph_utils_8cpp_source.xhtml">GraphUtils.cpp</a>.</p>
	<div class="fragment"><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  Window window;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  window.use_tensor_dimensions(tensor.info()->tensor_shape());</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> channel_idx = <a class="code" href="namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db">get_data_layout_dimension_index</a>(tensor.info()->data_layout(), <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(window, [&](<span class="keyword">const</span> Coordinates & <span class="keywordtype">id</span>)</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> value = reinterpret_cast<float >(tensor.ptr_to_element(<span class="keywordtype">id</span>)) - _mean[<span class="keywordtype">id</span>[channel_idx]];</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  reinterpret_cast<float >(tensor.ptr_to_element(<span class="keywordtype">id</span>)) = value * _scale;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  });</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">arm_compute::DataLayoutDimension::CHANNEL</a></div><div class="ttdoc">channel</div></div>
	<div class="ttc" id="namespacearm__compute_xhtml_a5002bf7ec46d52971f9526e94172cfee"><div class="ttname"><a href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">arm_compute::execute_window_loop</a></div><div class="ttdeci">void execute_window_loop(const Window &w, L &&lambda_function, Ts &&... iterators)</div><div class="ttdoc">Iterate through the passed window, automatically adjusting the iterators and calling the lambda_funct...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00122">Helpers.inl:122</a></div></div>
	<div class="ttc" id="namespacearm__compute_xhtml_a46e938020a3ac8c926d0590b7fe957db"><div class="ttname"><a href="namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db">arm_compute::get_data_layout_dimension_index</a></div><div class="ttdeci">size_t get_data_layout_dimension_index(const DataLayout data_layout, const DataLayoutDimension data_layout_dimension)</div><div class="ttdoc">Get the index of the given dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00326">Helpers.inl:326</a></div></div>
	</div><!-- fragment -->
	<p class="reference">References <a class="el" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">arm_compute::CHANNEL</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">ITensorInfo::data_layout()</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00122">arm_compute::execute_window_loop()</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00326">arm_compute::get_data_layout_dimension_index()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, and <a class="el" href="_window_8inl_source.xhtml#l00250">Window::use_tensor_dimensions()</a>.</p>

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	<hr/>The documentation for this class was generated from the following files:<ul>
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