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<title>Compute Library: NEConvertFullyConnectedWeights Class Reference</title>
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<a href="#pub-methods">Public Member Functions</a> &#124;
<a href="#pub-static-methods">Static Public Member Functions</a> </div>
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<div class="title">NEConvertFullyConnectedWeights Class Reference</div> </div>
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<p>Basic function to run <a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml">NEConvertFullyConnectedWeightsKernel</a>.
<a href="classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#details">More...</a></p>
<p><code>#include &lt;<a class="el" href="_n_e_convert_fully_connected_weights_8h_source.xhtml">NEConvertFullyConnectedWeights.h</a>&gt;</code></p>
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Collaboration diagram for NEConvertFullyConnectedWeights:</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:aecbf55e0f00cef5c1378eb47099f336d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#aecbf55e0f00cef5c1378eb47099f336d">NEConvertFullyConnectedWeights</a> ()</td></tr>
<tr class="memdesc:aecbf55e0f00cef5c1378eb47099f336d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor. <a href="#aecbf55e0f00cef5c1378eb47099f336d">More...</a><br /></td></tr>
<tr class="separator:aecbf55e0f00cef5c1378eb47099f336d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac0cfd5b64b24f3dfae04ee3d0f258624"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#ac0cfd5b64b24f3dfae04ee3d0f258624">configure</a> (const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;original_input_shape, <a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> data_layout)</td></tr>
<tr class="memdesc:ac0cfd5b64b24f3dfae04ee3d0f258624"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the function. <a href="#ac0cfd5b64b24f3dfae04ee3d0f258624">More...</a><br /></td></tr>
<tr class="separator:ac0cfd5b64b24f3dfae04ee3d0f258624"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad1717410afd0be936c6213a63c8005fb"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a> () override</td></tr>
<tr class="memdesc:ad1717410afd0be936c6213a63c8005fb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Run the kernels contained in the function. <a href="#ad1717410afd0be936c6213a63c8005fb">More...</a><br /></td></tr>
<tr class="separator:ad1717410afd0be936c6213a63c8005fb"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classarm__compute_1_1_i_function"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_function')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></td></tr>
<tr class="memitem:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">~IFunction</a> ()=default</td></tr>
<tr class="memdesc:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">More...</a><br /></td></tr>
<tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">prepare</a> ()</td></tr>
<tr class="memdesc:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prepare the function for executing. <a href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">More...</a><br /></td></tr>
<tr class="separator:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
Static Public Member Functions</h2></td></tr>
<tr class="memitem:a01b81c1c60fd95dc360fd7ad680f114b"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#a01b81c1c60fd95dc360fd7ad680f114b">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;original_input_shape, <a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> data_layout)</td></tr>
<tr class="memdesc:a01b81c1c60fd95dc360fd7ad680f114b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml">NEConvertFullyConnectedWeights</a>. <a href="#a01b81c1c60fd95dc360fd7ad680f114b">More...</a><br /></td></tr>
<tr class="separator:a01b81c1c60fd95dc360fd7ad680f114b"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Basic function to run <a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml">NEConvertFullyConnectedWeightsKernel</a>. </p>
<p class="definition">Definition at line <a class="el" href="_n_e_convert_fully_connected_weights_8h_source.xhtml#l00039">39</a> of file <a class="el" href="_n_e_convert_fully_connected_weights_8h_source.xhtml">NEConvertFullyConnectedWeights.h</a>.</p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
<a id="aecbf55e0f00cef5c1378eb47099f336d"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aecbf55e0f00cef5c1378eb47099f336d">&#9670;&nbsp;</a></span>NEConvertFullyConnectedWeights()</h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml">NEConvertFullyConnectedWeights</a> </td>
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<p>Default constructor. </p>
<p class="definition">Definition at line <a class="el" href="_n_e_convert_fully_connected_weights_8cpp_source.xhtml#l00028">28</a> of file <a class="el" href="_n_e_convert_fully_connected_weights_8cpp_source.xhtml">NEConvertFullyConnectedWeights.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; : _kernel()</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;{</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;}</div></div><!-- fragment -->
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<h2 class="groupheader">Member Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#ac0cfd5b64b24f3dfae04ee3d0f258624">&#9670;&nbsp;</a></span>configure()</h2>
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<td class="memname">void configure </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
<td class="paramname"><em>input</em>, </td>
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<td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
<td class="paramname"><em>original_input_shape</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&#160;</td>
<td class="paramname"><em>data_layout</em>&#160;</td>
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<p>Initialize the function. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source weights tensor to convert. Must be 2 dimensional. Data types supported: All. </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>The converted weights tensor. Shape and Data Type: Same as <code>input</code>. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">original_input_shape</td><td>Shape of the original input tensor (the one entering fully connected layer). </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">data_layout</td><td>The data layout the weights have been trained in. </td></tr>
</table>
</dd>
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<p class="definition">Definition at line <a class="el" href="_n_e_convert_fully_connected_weights_8cpp_source.xhtml#l00033">33</a> of file <a class="el" href="_n_e_convert_fully_connected_weights_8cpp_source.xhtml">NEConvertFullyConnectedWeights.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;{</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; _kernel.<a class="code" href="classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#ac0cfd5b64b24f3dfae04ee3d0f258624">configure</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output, original_input_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a>);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acf5f12bbab64dd614bd8220c97fe484f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">arm_compute::test::validation::data_layout</a></div><div class="ttdeci">const DataLayout data_layout</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00146">Im2Col.cpp:146</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8fcf2ddd9a1d58b1b280f5c0aed71845"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">arm_compute::test::validation::input</a></div><div class="ttdeci">auto input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">LSTMLayerQuantized.cpp:487</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel_xhtml_ac0cfd5b64b24f3dfae04ee3d0f258624"><div class="ttname"><a href="classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#ac0cfd5b64b24f3dfae04ee3d0f258624">arm_compute::NEConvertFullyConnectedWeightsKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input, ITensor *output, const TensorShape &amp;original_input_shape, DataLayout data_layout)</div><div class="ttdoc">Set the input and output tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convert_fully_connected_weights_kernel_8cpp_source.xhtml#l00036">NEConvertFullyConnectedWeightsKernel.cpp:36</a></div></div>
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<p class="reference">References <a class="el" href="_n_e_convert_fully_connected_weights_kernel_8cpp_source.xhtml#l00036">NEConvertFullyConnectedWeightsKernel::configure()</a>, <a class="el" href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00146">arm_compute::test::validation::data_layout</a>, and <a class="el" href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">arm_compute::test::validation::input</a>.</p>
<p class="reference">Referenced by <a class="el" href="_n_e_convert_fully_connected_weights_8h_source.xhtml#l00098">NEConvertFullyConnectedWeightsManaged::configure()</a>, and <a class="el" href="_n_e_fully_connected_layer_8cpp_source.xhtml#l00141">NEFullyConnectedLayer::configure()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#ad1717410afd0be936c6213a63c8005fb">&#9670;&nbsp;</a></span>run()</h2>
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<td class="memname">void run </td>
<td>(</td>
<td class="paramname"></td><td>)</td>
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<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
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<p>Run the kernels contained in the function. </p>
<p>For NEON kernels:</p><ul>
<li>Multi-threading is used for the kernels which are parallelisable.</li>
<li>By default std::thread::hardware_concurrency() threads are used.</li>
</ul>
<dl class="section note"><dt>Note</dt><dd><a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#ae64eebaa07f4d2da6cc2ba538c3cb095">CPPScheduler::set_num_threads()</a> can be used to manually set the number of threads</dd></dl>
<p>For OpenCL kernels:</p><ul>
<li>All the kernels are enqueued on the queue associated with <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml" title="Provides global access to a CL context and command queue.">CLScheduler</a>.</li>
<li>The queue is then flushed.</li>
</ul>
<dl class="section note"><dt>Note</dt><dd>The function will not block until the kernels are executed. It is the user's responsibility to wait. </dd>
<dd>
Will call <a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26" title="Prepare the function for executing.">prepare()</a> on first run if hasn't been done </dd></dl>
<p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p>
<p class="definition">Definition at line <a class="el" href="_n_e_convert_fully_connected_weights_8cpp_source.xhtml#l00045">45</a> of file <a class="el" href="_n_e_convert_fully_connected_weights_8cpp_source.xhtml">NEConvertFullyConnectedWeights.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;{</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <a class="code" href="classarm__compute_1_1_scheduler.xhtml#a0d63ca713bab377aabcfb63c192b8429">NEScheduler::get</a>().<a class="code" href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">schedule</a>(&amp;_kernel, <a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_i_scheduler_xhtml_a4e58f95544bd5ac6559a421671bd9842"><div class="ttname"><a href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">arm_compute::IScheduler::schedule</a></div><div class="ttdeci">virtual void schedule(ICPPKernel *kernel, const Hints &amp;hints)=0</div><div class="ttdoc">Runs the kernel in the same thread as the caller synchronously.</div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_a893d17b56b9abc4423ce26e9a24ac5dc"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">arm_compute::Window::DimZ</a></div><div class="ttdeci">static constexpr size_t DimZ</div><div class="ttdoc">Alias for dimension 2 also known as Z dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00047">Window.h:47</a></div></div>
<div class="ttc" id="classarm__compute_1_1_scheduler_xhtml_a0d63ca713bab377aabcfb63c192b8429"><div class="ttname"><a href="classarm__compute_1_1_scheduler.xhtml#a0d63ca713bab377aabcfb63c192b8429">arm_compute::Scheduler::get</a></div><div class="ttdeci">static IScheduler &amp; get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_scheduler_8cpp_source.xhtml#l00095">Scheduler.cpp:95</a></div></div>
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<p class="reference">References <a class="el" href="_window_8h_source.xhtml#l00047">Window::DimZ</a>, <a class="el" href="_scheduler_8cpp_source.xhtml#l00095">Scheduler::get()</a>, and <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">IScheduler::schedule()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_n_e_fully_connected_layer_8cpp_source.xhtml#l00417">NEFullyConnectedLayer::prepare()</a>, and <a class="el" href="_n_e_convert_fully_connected_weights_8h_source.xhtml#l00076">NEConvertFullyConnectedWeightsManaged::run()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a01b81c1c60fd95dc360fd7ad680f114b">&#9670;&nbsp;</a></span>validate()</h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
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<p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml">NEConvertFullyConnectedWeights</a>. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>The converted weights tensor info. Shape and Data Type: Same as <code>input</code>. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">original_input_shape</td><td>Shape of the original input tensor (the one entering fully connected layer). </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">data_layout</td><td>The data layout the weights have been trained in.</td></tr>
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<dl class="section return"><dt>Returns</dt><dd>A <a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl>
<p class="definition">Definition at line <a class="el" href="_n_e_convert_fully_connected_weights_8cpp_source.xhtml#l00039">39</a> of file <a class="el" href="_n_e_convert_fully_connected_weights_8cpp_source.xhtml">NEConvertFullyConnectedWeights.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;{</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a01b81c1c60fd95dc360fd7ad680f114b">NEConvertFullyConnectedWeightsKernel::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output, original_input_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a>);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acf5f12bbab64dd614bd8220c97fe484f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">arm_compute::test::validation::data_layout</a></div><div class="ttdeci">const DataLayout data_layout</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00146">Im2Col.cpp:146</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8fcf2ddd9a1d58b1b280f5c0aed71845"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">arm_compute::test::validation::input</a></div><div class="ttdeci">auto input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">LSTMLayerQuantized.cpp:487</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel_xhtml_a01b81c1c60fd95dc360fd7ad680f114b"><div class="ttname"><a href="classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a01b81c1c60fd95dc360fd7ad680f114b">arm_compute::NEConvertFullyConnectedWeightsKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &amp;original_input_shape, DataLayout data_layout)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEConvertFullyConnectedW...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convert_fully_connected_weights_kernel_8cpp_source.xhtml#l00066">NEConvertFullyConnectedWeightsKernel.cpp:66</a></div></div>
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<p class="reference">References <a class="el" href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00146">arm_compute::test::validation::data_layout</a>, <a class="el" href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">arm_compute::test::validation::input</a>, and <a class="el" href="_n_e_convert_fully_connected_weights_kernel_8cpp_source.xhtml#l00066">NEConvertFullyConnectedWeightsKernel::validate()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_n_e_fully_connected_layer_8cpp_source.xhtml#l00275">NEFullyConnectedLayer::validate()</a>.</p>
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<hr/>The documentation for this class was generated from the following files:<ul>
<li>arm_compute/runtime/NEON/functions/<a class="el" href="_n_e_convert_fully_connected_weights_8h_source.xhtml">NEConvertFullyConnectedWeights.h</a></li>
<li>src/runtime/NEON/functions/<a class="el" href="_n_e_convert_fully_connected_weights_8cpp_source.xhtml">NEConvertFullyConnectedWeights.cpp</a></li>
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