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gerrit-public.fairphone.software / platform / external / ComputeLibrary / 52ba29e936b8e711e8acdfe819e36f884d4f3fe1 / . / documentation / _function_helpers_8h.xhtml
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115<div class="header">
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117<a href="#namespaces">Namespaces</a> &#124;
118<a href="#func-members">Functions</a> </div>
119 <div class="headertitle">
120<div class="title">FunctionHelpers.h File Reference</div> </div>
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122<div class="contents">
123<div class="textblock"><code>#include &quot;<a class="el" href="graph_2_logger_8h_source.xhtml">arm_compute/graph/Logger.h</a>&quot;</code><br />
124<code>#include &quot;<a class="el" href="graph_2_tensor_8h_source.xhtml">arm_compute/graph/Tensor.h</a>&quot;</code><br />
125<code>#include &quot;<a class="el" href="arm__compute_2graph_2_type_printer_8h_source.xhtml">arm_compute/graph/TypePrinter.h</a>&quot;</code><br />
126<code>#include &quot;<a class="el" href="arm__compute_2graph_2_types_8h_source.xhtml">arm_compute/graph/Types.h</a>&quot;</code><br />
127<code>#include &quot;<a class="el" href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml">arm_compute/graph/backends/Utils.h</a>&quot;</code><br />
128<code>#include &quot;<a class="el" href="_nodes_8h_source.xhtml">arm_compute/graph/nodes/Nodes.h</a>&quot;</code><br />
129<code>#include &quot;<a class="el" href="_error_8h_source.xhtml">arm_compute/core/Error.h</a>&quot;</code><br />
130<code>#include &quot;<a class="el" href="arm__compute_2core_2_helpers_8h_source.xhtml">arm_compute/core/Helpers.h</a>&quot;</code><br />
131<code>#include &quot;<a class="el" href="_i_tensor_info_8h_source.xhtml">arm_compute/core/ITensorInfo.h</a>&quot;</code><br />
132<code>#include &quot;<a class="el" href="_cast_8h_source.xhtml">arm_compute/core/utils/misc/Cast.h</a>&quot;</code><br />
133</div>
134<p><a href="_function_helpers_8h_source.xhtml">Go to the source code of this file.</a></p>
135<table class="memberdecls">
136<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="namespaces"></a>
137Namespaces</h2></td></tr>
138<tr class="memitem:namespacearm__compute"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml">arm_compute</a></td></tr>
139<tr class="memdesc:namespacearm__compute"><td class="mdescLeft">&#160;</td><td class="mdescRight">This file contains all available output stages for GEMMLowp on OpenCL. <br /></td></tr>
140<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
141<tr class="memitem:namespacearm__compute_1_1graph"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph.xhtml">arm_compute::graph</a></td></tr>
142<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
143<tr class="memitem:namespacearm__compute_1_1graph_1_1backends"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends.xhtml">arm_compute::graph::backends</a></td></tr>
144<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
145<tr class="memitem:namespacearm__compute_1_1graph_1_1backends_1_1detail"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml">arm_compute::graph::backends::detail</a></td></tr>
146<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
147</table><table class="memberdecls">
148<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
149Functions</h2></td></tr>
150<tr class="memitem:a69dd1fc17c7a15f4125873be182c8c76"><td class="memTemplParams" colspan="2">template&lt;typename TargetInfo &gt; </td></tr>
151<tr class="memitem:a69dd1fc17c7a15f4125873be182c8c76"><td class="memTemplItemLeft" align="right" valign="top">TargetInfo::TensorType *&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a69dd1fc17c7a15f4125873be182c8c76">get_backing_tensor</a> (<a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml">arm_compute::graph::Tensor</a> *tensor)</td></tr>
152<tr class="memdesc:a69dd1fc17c7a15f4125873be182c8c76"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns backing tensor of a given tensor. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a69dd1fc17c7a15f4125873be182c8c76">More...</a><br /></td></tr>
153<tr class="separator:a69dd1fc17c7a15f4125873be182c8c76"><td class="memSeparator" colspan="2">&#160;</td></tr>
154<tr class="memitem:aa6fabefcb8c4bd308219565ddcf00928"><td class="memTemplParams" colspan="2">template&lt;typename TargetInfo &gt; </td></tr>
155<tr class="memitem:aa6fabefcb8c4bd308219565ddcf00928"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aa6fabefcb8c4bd308219565ddcf00928">validate_node</a> (const INode &amp;node, size_t num_expected_inputs, size_t num_expected_outputs)</td></tr>
156<tr class="separator:aa6fabefcb8c4bd308219565ddcf00928"><td class="memSeparator" colspan="2">&#160;</td></tr>
157<tr class="memitem:a0f5afb0ddd5aec3a8e4df3c56d7d91f4"><td class="memTemplParams" colspan="2">template&lt;typename ActivationLayerFunction , typename TargetInfo &gt; </td></tr>
158<tr class="memitem:a0f5afb0ddd5aec3a8e4df3c56d7d91f4"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; IFunction &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a0f5afb0ddd5aec3a8e4df3c56d7d91f4">create_activation_layer</a> (ActivationLayerNode &amp;node)</td></tr>
159<tr class="memdesc:a0f5afb0ddd5aec3a8e4df3c56d7d91f4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Creates a backend activation layer function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a0f5afb0ddd5aec3a8e4df3c56d7d91f4">More...</a><br /></td></tr>
160<tr class="separator:a0f5afb0ddd5aec3a8e4df3c56d7d91f4"><td class="memSeparator" colspan="2">&#160;</td></tr>
161<tr class="memitem:a5d1a73ab4a0b267033a569c46813b9d5"><td class="memTemplParams" colspan="2">template&lt;typename BatchNormalizationLayerFunction , typename TargetInfo &gt; </td></tr>
162<tr class="memitem:a5d1a73ab4a0b267033a569c46813b9d5"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; IFunction &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a5d1a73ab4a0b267033a569c46813b9d5">create_batch_normalization_layer</a> (BatchNormalizationLayerNode &amp;node)</td></tr>
163<tr class="memdesc:a5d1a73ab4a0b267033a569c46813b9d5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a backend batch normalization layer function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a5d1a73ab4a0b267033a569c46813b9d5">More...</a><br /></td></tr>
164<tr class="separator:a5d1a73ab4a0b267033a569c46813b9d5"><td class="memSeparator" colspan="2">&#160;</td></tr>
165<tr class="memitem:a3f5c14020836599056281fe52d7e9dd3"><td class="memTemplParams" colspan="2">template&lt;typename ChannelShuffleLayerFunction , typename TargetInfo &gt; </td></tr>
166<tr class="memitem:a3f5c14020836599056281fe52d7e9dd3"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; IFunction &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a3f5c14020836599056281fe52d7e9dd3">create_channel_shuffle_layer</a> (ChannelShuffleLayerNode &amp;node)</td></tr>
167<tr class="memdesc:a3f5c14020836599056281fe52d7e9dd3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a backend channel shuffle layer function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a3f5c14020836599056281fe52d7e9dd3">More...</a><br /></td></tr>
168<tr class="separator:a3f5c14020836599056281fe52d7e9dd3"><td class="memSeparator" colspan="2">&#160;</td></tr>
169<tr class="memitem:a627f6bdc4a7de6dbb03acb3d8b3a4d6d"><td class="memTemplParams" colspan="2">template&lt;typename ConcatenateLayerFunction , typename TargetInfo &gt; </td></tr>
170<tr class="memitem:a627f6bdc4a7de6dbb03acb3d8b3a4d6d"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; <a class="el" href="classarm__compute_1_1_i_function.xhtml">arm_compute::IFunction</a> &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a627f6bdc4a7de6dbb03acb3d8b3a4d6d">create_concatenate_layer</a> (ConcatenateLayerNode &amp;node)</td></tr>
171<tr class="memdesc:a627f6bdc4a7de6dbb03acb3d8b3a4d6d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a backend layer concatenate function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a627f6bdc4a7de6dbb03acb3d8b3a4d6d">More...</a><br /></td></tr>
172<tr class="separator:a627f6bdc4a7de6dbb03acb3d8b3a4d6d"><td class="memSeparator" colspan="2">&#160;</td></tr>
173<tr class="memitem:a9e38014fa1e7e08dcbf3b5f8c3bdb81e"><td class="memTemplParams" colspan="2">template&lt;typename ConvolutionLayerFunctions , typename TargetInfo &gt; </td></tr>
174<tr class="memitem:a9e38014fa1e7e08dcbf3b5f8c3bdb81e"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; IFunction &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9e38014fa1e7e08dcbf3b5f8c3bdb81e">create_convolution_layer</a> (ConvolutionLayerNode &amp;node, GraphContext &amp;ctx)</td></tr>
175<tr class="memdesc:a9e38014fa1e7e08dcbf3b5f8c3bdb81e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a backend convolution layer function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9e38014fa1e7e08dcbf3b5f8c3bdb81e">More...</a><br /></td></tr>
176<tr class="separator:a9e38014fa1e7e08dcbf3b5f8c3bdb81e"><td class="memSeparator" colspan="2">&#160;</td></tr>
177<tr class="memitem:ac77fa3bf0d7d7c3fde6243192f93f380"><td class="memTemplParams" colspan="2">template&lt;typename DeconvolutionLayerFunction , typename TargetInfo &gt; </td></tr>
178<tr class="memitem:ac77fa3bf0d7d7c3fde6243192f93f380"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; IFunction &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ac77fa3bf0d7d7c3fde6243192f93f380">create_deconvolution_layer</a> (DeconvolutionLayerNode &amp;node, GraphContext &amp;ctx)</td></tr>
179<tr class="memdesc:ac77fa3bf0d7d7c3fde6243192f93f380"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a backend deconvolution layer function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ac77fa3bf0d7d7c3fde6243192f93f380">More...</a><br /></td></tr>
180<tr class="separator:ac77fa3bf0d7d7c3fde6243192f93f380"><td class="memSeparator" colspan="2">&#160;</td></tr>
181<tr class="memitem:ab8ff2a40f95b76ec10ac2a98d1a8d594"><td class="memTemplParams" colspan="2">template&lt;typename DepthwiseConvolutionLayerFunctions , typename TargetInfo &gt; </td></tr>
182<tr class="memitem:ab8ff2a40f95b76ec10ac2a98d1a8d594"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; IFunction &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab8ff2a40f95b76ec10ac2a98d1a8d594">create_depthwise_convolution_layer</a> (DepthwiseConvolutionLayerNode &amp;node)</td></tr>
183<tr class="memdesc:ab8ff2a40f95b76ec10ac2a98d1a8d594"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a backend layer depth-wise convolution function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab8ff2a40f95b76ec10ac2a98d1a8d594">More...</a><br /></td></tr>
184<tr class="separator:ab8ff2a40f95b76ec10ac2a98d1a8d594"><td class="memSeparator" colspan="2">&#160;</td></tr>
185<tr class="memitem:aa37faf92f78c0f5cefe2d43c8bf07f18"><td class="memTemplParams" colspan="2">template&lt;typename EltwiseFunctions , typename TargetInfo &gt; </td></tr>
186<tr class="memitem:aa37faf92f78c0f5cefe2d43c8bf07f18"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; IFunction &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aa37faf92f78c0f5cefe2d43c8bf07f18">create_eltwise_layer</a> (EltwiseLayerNode &amp;node)</td></tr>
187<tr class="memdesc:aa37faf92f78c0f5cefe2d43c8bf07f18"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a backend element-wise operation layer function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aa37faf92f78c0f5cefe2d43c8bf07f18">More...</a><br /></td></tr>
188<tr class="separator:aa37faf92f78c0f5cefe2d43c8bf07f18"><td class="memSeparator" colspan="2">&#160;</td></tr>
189<tr class="memitem:a7880c3b249a6dad40da0ebcf6600b0e1"><td class="memTemplParams" colspan="2">template&lt;typename FlattenLayerFunction , typename TargetInfo &gt; </td></tr>
190<tr class="memitem:a7880c3b249a6dad40da0ebcf6600b0e1"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; IFunction &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a7880c3b249a6dad40da0ebcf6600b0e1">create_flatten_layer</a> (FlattenLayerNode &amp;node)</td></tr>
191<tr class="memdesc:a7880c3b249a6dad40da0ebcf6600b0e1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a backend flatten layer function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a7880c3b249a6dad40da0ebcf6600b0e1">More...</a><br /></td></tr>
192<tr class="separator:a7880c3b249a6dad40da0ebcf6600b0e1"><td class="memSeparator" colspan="2">&#160;</td></tr>
193<tr class="memitem:ac64bbd0df74207f9ab59953e21311178"><td class="memTemplParams" colspan="2">template&lt;typename FullyConnectedLayerFunction , typename TargetInfo &gt; </td></tr>
194<tr class="memitem:ac64bbd0df74207f9ab59953e21311178"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; IFunction &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ac64bbd0df74207f9ab59953e21311178">create_fully_connected_layer</a> (FullyConnectedLayerNode &amp;node, GraphContext &amp;ctx)</td></tr>
195<tr class="memdesc:ac64bbd0df74207f9ab59953e21311178"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a backend fully connected layer function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ac64bbd0df74207f9ab59953e21311178">More...</a><br /></td></tr>
196<tr class="separator:ac64bbd0df74207f9ab59953e21311178"><td class="memSeparator" colspan="2">&#160;</td></tr>
197<tr class="memitem:a2dfc97df083b68f8409ba21d8a0110d8"><td class="memTemplParams" colspan="2">template&lt;typename NormalizationLayerFunction , typename TargetInfo &gt; </td></tr>
198<tr class="memitem:a2dfc97df083b68f8409ba21d8a0110d8"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; IFunction &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a2dfc97df083b68f8409ba21d8a0110d8">create_normalization_layer</a> (NormalizationLayerNode &amp;node, GraphContext &amp;ctx)</td></tr>
199<tr class="memdesc:a2dfc97df083b68f8409ba21d8a0110d8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a backend normalization layer function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a2dfc97df083b68f8409ba21d8a0110d8">More...</a><br /></td></tr>
200<tr class="separator:a2dfc97df083b68f8409ba21d8a0110d8"><td class="memSeparator" colspan="2">&#160;</td></tr>
201<tr class="memitem:aa65a1becdfa5fc3533d79bba0cd4095c"><td class="memTemplParams" colspan="2">template&lt;typename PermuteLayerFunction , typename TargetInfo &gt; </td></tr>
202<tr class="memitem:aa65a1becdfa5fc3533d79bba0cd4095c"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; IFunction &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aa65a1becdfa5fc3533d79bba0cd4095c">create_permute_layer</a> (PermuteLayerNode &amp;node)</td></tr>
203<tr class="memdesc:aa65a1becdfa5fc3533d79bba0cd4095c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a backend permute layer function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aa65a1becdfa5fc3533d79bba0cd4095c">More...</a><br /></td></tr>
204<tr class="separator:aa65a1becdfa5fc3533d79bba0cd4095c"><td class="memSeparator" colspan="2">&#160;</td></tr>
205<tr class="memitem:a0e51b62035e79b0f12964cae17ce0480"><td class="memTemplParams" colspan="2">template&lt;typename PoolingLayerFunction , typename TargetInfo &gt; </td></tr>
206<tr class="memitem:a0e51b62035e79b0f12964cae17ce0480"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; IFunction &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a0e51b62035e79b0f12964cae17ce0480">create_pooling_layer</a> (PoolingLayerNode &amp;node)</td></tr>
207<tr class="memdesc:a0e51b62035e79b0f12964cae17ce0480"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a backend pooling layer function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a0e51b62035e79b0f12964cae17ce0480">More...</a><br /></td></tr>
208<tr class="separator:a0e51b62035e79b0f12964cae17ce0480"><td class="memSeparator" colspan="2">&#160;</td></tr>
209<tr class="memitem:ad1922deea021647290d0c206723e6c73"><td class="memTemplParams" colspan="2">template&lt;typename ReshapeLayerFunction , typename TargetInfo &gt; </td></tr>
210<tr class="memitem:ad1922deea021647290d0c206723e6c73"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; IFunction &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ad1922deea021647290d0c206723e6c73">create_reshape_layer</a> (ReshapeLayerNode &amp;node)</td></tr>
211<tr class="memdesc:ad1922deea021647290d0c206723e6c73"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a backend reshape layer function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ad1922deea021647290d0c206723e6c73">More...</a><br /></td></tr>
212<tr class="separator:ad1922deea021647290d0c206723e6c73"><td class="memSeparator" colspan="2">&#160;</td></tr>
213<tr class="memitem:adb3a9be16de941b0f601e16c8ac76533"><td class="memTemplParams" colspan="2">template&lt;typename ResizeLayerFunction , typename TargetInfo &gt; </td></tr>
214<tr class="memitem:adb3a9be16de941b0f601e16c8ac76533"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; IFunction &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#adb3a9be16de941b0f601e16c8ac76533">create_resize_layer</a> (ResizeLayerNode &amp;node)</td></tr>
215<tr class="memdesc:adb3a9be16de941b0f601e16c8ac76533"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a backend resize layer function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#adb3a9be16de941b0f601e16c8ac76533">More...</a><br /></td></tr>
216<tr class="separator:adb3a9be16de941b0f601e16c8ac76533"><td class="memSeparator" colspan="2">&#160;</td></tr>
217<tr class="memitem:a5271c97b6bef5972c5e259307d52a4da"><td class="memTemplParams" colspan="2">template&lt;typename SoftmaxLayerFunction , typename TargetInfo &gt; </td></tr>
218<tr class="memitem:a5271c97b6bef5972c5e259307d52a4da"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; IFunction &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a5271c97b6bef5972c5e259307d52a4da">create_softmax_layer</a> (SoftmaxLayerNode &amp;node, GraphContext &amp;ctx)</td></tr>
219<tr class="memdesc:a5271c97b6bef5972c5e259307d52a4da"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a backend softmax layer function. <a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a5271c97b6bef5972c5e259307d52a4da">More...</a><br /></td></tr>
220<tr class="separator:a5271c97b6bef5972c5e259307d52a4da"><td class="memSeparator" colspan="2">&#160;</td></tr>
221</table>
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227 <li class="navelem"><a class="el" href="dir_214608ef36d61442cb2b0c1c4e9a7def.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="dir_99ae3712d1eecd2a93fc4d38b59a99ba.xhtml">graph</a></li><li class="navelem"><a class="el" href="dir_59b2231210c554f4cc243709030bf1f8.xhtml">backends</a></li><li class="navelem"><a class="el" href="_function_helpers_8h.xhtml">FunctionHelpers.h</a></li>
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