+<p>Referenced by <a class="el" href="_n_e_dequantization_layer_kernel_8h_source.xhtml#l00041">NEDequantizationLayerKernel::name()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a914f6a26503934666c6a4f42abb38f2b"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td>
+ <td>(</td>
+ <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td>
+ <td class="paramname"><em>input</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td>
+ <td class="paramname"><em>output</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td>
+ <td class="paramname"><em>min_max</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<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_dequantization_layer_kernel.xhtml">NEDequantizationLayerKernel</a>. </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Input tensor info. Data types supported: U8. </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Output tensor info. Data types supported: F32. </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">min_max</td><td>Info for the tensor with shape [2, batches] which stores the minimum and maximum value for each 3D input tensor. The dimensions over the second must match the batched dimensions of the input tensor. Data type supported: F32.</td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>a status </dd></dl>
+
+<p>Referenced by <a class="el" href="_n_e_dequantization_layer_kernel_8h_source.xhtml#l00041">NEDequantizationLayerKernel::name()</a>.</p>
+