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<title>Compute Library: FusedDepthwiseConvolutionBatchNormalizationNode 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> &#124;
<a href="#pub-static-attribs">Static Public Attributes</a> </div>
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<div class="title">FusedDepthwiseConvolutionBatchNormalizationNode Class Reference<span class="mlabels"><span class="mlabel">final</span></span></div> </div>
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<p>Fused Depthwise Convolution Batch Normalization node.
<a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#details">More...</a></p>
<p><code>#include &lt;<a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8h_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.h</a>&gt;</code></p>
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Collaboration diagram for FusedDepthwiseConvolutionBatchNormalizationNode:</div>
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<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:ae8c23977d5b6d1b17e18166d726d8721"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ae8c23977d5b6d1b17e18166d726d8721">FusedDepthwiseConvolutionBatchNormalizationNode</a> (float <a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#acd39aa81617eab4d3482fa904d5dee87">epsilon</a>, <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> info, unsigned int <a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ac8cef0874f04203401b5d7f5a6fa2a34">depth_multiplier</a>, <a class="el" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a> method, <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> <a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62">fused_activation</a>=<a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>())</td></tr>
<tr class="memdesc:ae8c23977d5b6d1b17e18166d726d8721"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor. <a href="#ae8c23977d5b6d1b17e18166d726d8721">More...</a><br /></td></tr>
<tr class="separator:ae8c23977d5b6d1b17e18166d726d8721"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af5320f5c3406e2263ed1a412c59d18c5"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#af5320f5c3406e2263ed1a412c59d18c5">set_depthwise_convolution_method</a> (<a class="el" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a> method)</td></tr>
<tr class="memdesc:af5320f5c3406e2263ed1a412c59d18c5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sets the depthwise convolution layer method to use. <a href="#af5320f5c3406e2263ed1a412c59d18c5">More...</a><br /></td></tr>
<tr class="separator:af5320f5c3406e2263ed1a412c59d18c5"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8cefd89d2de49691e778c8d5a08ac92f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a8cefd89d2de49691e778c8d5a08ac92f">depthwise_convolution_method</a> () const</td></tr>
<tr class="memdesc:a8cefd89d2de49691e778c8d5a08ac92f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Depthwise convolution layer method accessor. <a href="#a8cefd89d2de49691e778c8d5a08ac92f">More...</a><br /></td></tr>
<tr class="separator:a8cefd89d2de49691e778c8d5a08ac92f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:acd39aa81617eab4d3482fa904d5dee87"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#acd39aa81617eab4d3482fa904d5dee87">epsilon</a> () const</td></tr>
<tr class="memdesc:acd39aa81617eab4d3482fa904d5dee87"><td class="mdescLeft">&#160;</td><td class="mdescRight">Epsilon parameter accessor. <a href="#acd39aa81617eab4d3482fa904d5dee87">More...</a><br /></td></tr>
<tr class="separator:acd39aa81617eab4d3482fa904d5dee87"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a32186582e0a6e02ed7ac3944f60b9c62"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62">fused_activation</a> () const</td></tr>
<tr class="memdesc:a32186582e0a6e02ed7ac3944f60b9c62"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns fused activation. <a href="#a32186582e0a6e02ed7ac3944f60b9c62">More...</a><br /></td></tr>
<tr class="separator:a32186582e0a6e02ed7ac3944f60b9c62"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8f9c3ed345d401dc02c5a8f34b284a33"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a8f9c3ed345d401dc02c5a8f34b284a33">set_fused_activation</a> (<a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> <a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62">fused_activation</a>)</td></tr>
<tr class="memdesc:a8f9c3ed345d401dc02c5a8f34b284a33"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sets fused activation. <a href="#a8f9c3ed345d401dc02c5a8f34b284a33">More...</a><br /></td></tr>
<tr class="separator:a8f9c3ed345d401dc02c5a8f34b284a33"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9d809efcf3df31392abc965f2cc3bae6"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a9d809efcf3df31392abc965f2cc3bae6">set_convolution_method</a> (<a class="el" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517d">ConvolutionMethod</a> method)</td></tr>
<tr class="memdesc:a9d809efcf3df31392abc965f2cc3bae6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sets the convolution layer method to use. <a href="#a9d809efcf3df31392abc965f2cc3bae6">More...</a><br /></td></tr>
<tr class="separator:a9d809efcf3df31392abc965f2cc3bae6"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac8cef0874f04203401b5d7f5a6fa2a34"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ac8cef0874f04203401b5d7f5a6fa2a34">depth_multiplier</a> () const</td></tr>
<tr class="memdesc:ac8cef0874f04203401b5d7f5a6fa2a34"><td class="mdescLeft">&#160;</td><td class="mdescRight">Depth multiplier accessor. <a href="#ac8cef0874f04203401b5d7f5a6fa2a34">More...</a><br /></td></tr>
<tr class="separator:ac8cef0874f04203401b5d7f5a6fa2a34"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad087f1f9aa1e444236911adf6c57df04"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ad087f1f9aa1e444236911adf6c57df04">convolution_info</a> () const</td></tr>
<tr class="memdesc:ad087f1f9aa1e444236911adf6c57df04"><td class="mdescLeft">&#160;</td><td class="mdescRight">Convolution metadata accessor. <a href="#ad087f1f9aa1e444236911adf6c57df04">More...</a><br /></td></tr>
<tr class="separator:ad087f1f9aa1e444236911adf6c57df04"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a65d13dc93e2df5e8ab725263cf9f4ac5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16">NodeType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5">type</a> () const override</td></tr>
<tr class="memdesc:a65d13dc93e2df5e8ab725263cf9f4ac5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns node's type. <a href="#a65d13dc93e2df5e8ab725263cf9f4ac5">More...</a><br /></td></tr>
<tr class="separator:a65d13dc93e2df5e8ab725263cf9f4ac5"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6272eb9643b239dd0c1e7adde3ee093b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">forward_descriptors</a> () override</td></tr>
<tr class="memdesc:a6272eb9643b239dd0c1e7adde3ee093b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Forwards descriptor information to outputs if possible. <a href="#a6272eb9643b239dd0c1e7adde3ee093b">More...</a><br /></td></tr>
<tr class="separator:a6272eb9643b239dd0c1e7adde3ee093b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3f18a7449b9d7fc9e5fec212b8e61710"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">configure_output</a> (size_t idx) const override</td></tr>
<tr class="memdesc:a3f18a7449b9d7fc9e5fec212b8e61710"><td class="mdescLeft">&#160;</td><td class="mdescRight">Calculates output configuration. <a href="#a3f18a7449b9d7fc9e5fec212b8e61710">More...</a><br /></td></tr>
<tr class="separator:a3f18a7449b9d7fc9e5fec212b8e61710"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:adb48b5745c55605a2d4ec6f665bb7f3f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">accept</a> (<a class="el" href="classarm__compute_1_1graph_1_1_i_node_visitor.xhtml">INodeVisitor</a> &amp;v) override</td></tr>
<tr class="memdesc:adb48b5745c55605a2d4ec6f665bb7f3f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Accepts a node visitor. <a href="#adb48b5745c55605a2d4ec6f665bb7f3f">More...</a><br /></td></tr>
<tr class="separator:adb48b5745c55605a2d4ec6f665bb7f3f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classarm__compute_1_1graph_1_1_i_node"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1graph_1_1_i_node')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml">INode</a></td></tr>
<tr class="memitem:a41ea547ddf32e27b4d3b6cc565ad67d1 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a41ea547ddf32e27b4d3b6cc565ad67d1">INode</a> ()</td></tr>
<tr class="memdesc:a41ea547ddf32e27b4d3b6cc565ad67d1 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a41ea547ddf32e27b4d3b6cc565ad67d1">More...</a><br /></td></tr>
<tr class="separator:a41ea547ddf32e27b4d3b6cc565ad67d1 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1356f0d04912be3ec8d8ce7a2b0cddd2 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1356f0d04912be3ec8d8ce7a2b0cddd2">~INode</a> ()=default</td></tr>
<tr class="memdesc:a1356f0d04912be3ec8d8ce7a2b0cddd2 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1356f0d04912be3ec8d8ce7a2b0cddd2">More...</a><br /></td></tr>
<tr class="separator:a1356f0d04912be3ec8d8ce7a2b0cddd2 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6d98a026d543444099ae32d51d150848 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6d98a026d543444099ae32d51d150848">INode</a> (const <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml">INode</a> &amp;)=delete</td></tr>
<tr class="memdesc:a6d98a026d543444099ae32d51d150848 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6d98a026d543444099ae32d51d150848">More...</a><br /></td></tr>
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<tr class="memitem:ac2f34bc6eaa698b25680f2091dc29170 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml">INode</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ac2f34bc6eaa698b25680f2091dc29170">operator=</a> (const <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml">INode</a> &amp;)=delete</td></tr>
<tr class="memdesc:ac2f34bc6eaa698b25680f2091dc29170 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copy assigned (As this class contains pointers) <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#ac2f34bc6eaa698b25680f2091dc29170">More...</a><br /></td></tr>
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<tr class="memitem:ab926b66a0f1c5bfb4b80f6d56e5edbc9 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ab926b66a0f1c5bfb4b80f6d56e5edbc9">INode</a> (<a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml">INode</a> &amp;&amp;)=default</td></tr>
<tr class="memdesc:ab926b66a0f1c5bfb4b80f6d56e5edbc9 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#ab926b66a0f1c5bfb4b80f6d56e5edbc9">More...</a><br /></td></tr>
<tr class="separator:ab926b66a0f1c5bfb4b80f6d56e5edbc9 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa85ed20eb40b3a914e78124c89556249 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml">INode</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#aa85ed20eb40b3a914e78124c89556249">operator=</a> (<a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml">INode</a> &amp;&amp;)=default</td></tr>
<tr class="memdesc:aa85ed20eb40b3a914e78124c89556249 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be move assigned. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#aa85ed20eb40b3a914e78124c89556249">More...</a><br /></td></tr>
<tr class="separator:aa85ed20eb40b3a914e78124c89556249 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0f3b12aedc549ea5ba08cbb36871da15 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">virtual <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_1graph_1_1_i_node.xhtml#a0f3b12aedc549ea5ba08cbb36871da15">validate</a> () const</td></tr>
<tr class="memdesc:a0f3b12aedc549ea5ba08cbb36871da15 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Validate node. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a0f3b12aedc549ea5ba08cbb36871da15">More...</a><br /></td></tr>
<tr class="separator:a0f3b12aedc549ea5ba08cbb36871da15 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1d89c28bd42ba9a52da008bb69367171 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a> () const</td></tr>
<tr class="memdesc:a1d89c28bd42ba9a52da008bb69367171 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns node's name. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">More...</a><br /></td></tr>
<tr class="separator:a1d89c28bd42ba9a52da008bb69367171 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5ea90a25ef8059df2d2e51b82991ebf3 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a> () const</td></tr>
<tr class="memdesc:a5ea90a25ef8059df2d2e51b82991ebf3 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns node's ID. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">More...</a><br /></td></tr>
<tr class="separator:a5ea90a25ef8059df2d2e51b82991ebf3 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a88421a0f6fd8896906a4a4b86f41ca4f inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a88421a0f6fd8896906a4a4b86f41ca4f">graph</a> () const</td></tr>
<tr class="memdesc:a88421a0f6fd8896906a4a4b86f41ca4f inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns node's <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml" title="Graph class.">Graph</a>. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a88421a0f6fd8896906a4a4b86f41ca4f">More...</a><br /></td></tr>
<tr class="separator:a88421a0f6fd8896906a4a4b86f41ca4f inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa508c46863ea4bb2d54407e43bd062c1 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#aa508c46863ea4bb2d54407e43bd062c1">graph</a> ()</td></tr>
<tr class="memdesc:aa508c46863ea4bb2d54407e43bd062c1 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns node's <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml" title="Graph class.">Graph</a>. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#aa508c46863ea4bb2d54407e43bd062c1">More...</a><br /></td></tr>
<tr class="separator:aa508c46863ea4bb2d54407e43bd062c1 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3ace781433ede299fb1dc8d0b02667b9 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a3ace781433ede299fb1dc8d0b02667b9">set_graph</a> (<a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> *g)</td></tr>
<tr class="memdesc:a3ace781433ede299fb1dc8d0b02667b9 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sets the graph that this node is registered to. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a3ace781433ede299fb1dc8d0b02667b9">More...</a><br /></td></tr>
<tr class="separator:a3ace781433ede299fb1dc8d0b02667b9 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a483b76accbb02199c359bd5cf23dd476 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a483b76accbb02199c359bd5cf23dd476">set_id</a> (<a class="el" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>)</td></tr>
<tr class="memdesc:a483b76accbb02199c359bd5cf23dd476 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sets the node id. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a483b76accbb02199c359bd5cf23dd476">More...</a><br /></td></tr>
<tr class="separator:a483b76accbb02199c359bd5cf23dd476 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aeadb909ea02bec78f92ca35ff0ccbaea inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#aeadb909ea02bec78f92ca35ff0ccbaea">set_common_node_parameters</a> (<a class="el" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> common_params)</td></tr>
<tr class="memdesc:aeadb909ea02bec78f92ca35ff0ccbaea inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sets common node parameters. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#aeadb909ea02bec78f92ca35ff0ccbaea">More...</a><br /></td></tr>
<tr class="separator:aeadb909ea02bec78f92ca35ff0ccbaea inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab4d8c49b8b04fae8561238b8efb472f5 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ab4d8c49b8b04fae8561238b8efb472f5">set_requested_target</a> (<a class="el" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35d">Target</a> target)</td></tr>
<tr class="memdesc:ab4d8c49b8b04fae8561238b8efb472f5 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sets target preference. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#ab4d8c49b8b04fae8561238b8efb472f5">More...</a><br /></td></tr>
<tr class="separator:ab4d8c49b8b04fae8561238b8efb472f5 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7069f1901ff50cd2ac6ba152cb106058 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a7069f1901ff50cd2ac6ba152cb106058">set_assigned_target</a> (<a class="el" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35d">Target</a> target)</td></tr>
<tr class="memdesc:a7069f1901ff50cd2ac6ba152cb106058 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sets the final execution target. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a7069f1901ff50cd2ac6ba152cb106058">More...</a><br /></td></tr>
<tr class="separator:a7069f1901ff50cd2ac6ba152cb106058 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a09dab02145c91bb9be20fe98cbedc300 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a09dab02145c91bb9be20fe98cbedc300">set_output_tensor</a> (<a class="el" href="namespacearm__compute_1_1graph.xhtml#a615af95e19b5d9f74d2760183566a9a3">TensorID</a> tid, size_t idx)</td></tr>
<tr class="memdesc:a09dab02145c91bb9be20fe98cbedc300 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sets the output tensor of at a given index. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a09dab02145c91bb9be20fe98cbedc300">More...</a><br /></td></tr>
<tr class="separator:a09dab02145c91bb9be20fe98cbedc300 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7c77caaf0ff3ccc12220871c6dfed704 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">const std::vector&lt; <a class="el" href="namespacearm__compute_1_1graph.xhtml#a615af95e19b5d9f74d2760183566a9a3">TensorID</a> &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a7c77caaf0ff3ccc12220871c6dfed704">inputs</a> () const</td></tr>
<tr class="memdesc:a7c77caaf0ff3ccc12220871c6dfed704 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns inputs of the node. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a7c77caaf0ff3ccc12220871c6dfed704">More...</a><br /></td></tr>
<tr class="separator:a7c77caaf0ff3ccc12220871c6dfed704 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a74e6b1e9d4924f2fb12baed6a432d3a5 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">const std::vector&lt; <a class="el" href="namespacearm__compute_1_1graph.xhtml#a615af95e19b5d9f74d2760183566a9a3">TensorID</a> &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a> () const</td></tr>
<tr class="memdesc:a74e6b1e9d4924f2fb12baed6a432d3a5 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns outputs of the node. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">More...</a><br /></td></tr>
<tr class="separator:a74e6b1e9d4924f2fb12baed6a432d3a5 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3fd5d1d4dea9bb355f9baa9b4d44402f inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">const std::vector&lt; <a class="el" href="namespacearm__compute_1_1graph.xhtml#abba17a56bbf16c7cbc7acd4aa54abcea">EdgeID</a> &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a3fd5d1d4dea9bb355f9baa9b4d44402f">input_edges</a> () const</td></tr>
<tr class="memdesc:a3fd5d1d4dea9bb355f9baa9b4d44402f inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns input edge set. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a3fd5d1d4dea9bb355f9baa9b4d44402f">More...</a><br /></td></tr>
<tr class="separator:a3fd5d1d4dea9bb355f9baa9b4d44402f inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abbf8678d888561b348dd1c34d9e34af9 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">const std::set&lt; <a class="el" href="namespacearm__compute_1_1graph.xhtml#abba17a56bbf16c7cbc7acd4aa54abcea">EdgeID</a> &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abbf8678d888561b348dd1c34d9e34af9">output_edges</a> () const</td></tr>
<tr class="memdesc:abbf8678d888561b348dd1c34d9e34af9 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns output edge set. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#abbf8678d888561b348dd1c34d9e34af9">More...</a><br /></td></tr>
<tr class="separator:abbf8678d888561b348dd1c34d9e34af9 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6a156d1ea7a01d8b27131f30aacaf40b inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute_1_1graph.xhtml#a615af95e19b5d9f74d2760183566a9a3">TensorID</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6a156d1ea7a01d8b27131f30aacaf40b">input_id</a> (size_t idx) const</td></tr>
<tr class="memdesc:a6a156d1ea7a01d8b27131f30aacaf40b inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the tensor ID of a given input of the node. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6a156d1ea7a01d8b27131f30aacaf40b">More...</a><br /></td></tr>
<tr class="separator:a6a156d1ea7a01d8b27131f30aacaf40b inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a339f9817d95cb065b7670d35c03f4d88 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute_1_1graph.xhtml#a615af95e19b5d9f74d2760183566a9a3">TensorID</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a339f9817d95cb065b7670d35c03f4d88">output_id</a> (size_t idx) const</td></tr>
<tr class="memdesc:a339f9817d95cb065b7670d35c03f4d88 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the tensor ID of a given output of the node. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a339f9817d95cb065b7670d35c03f4d88">More...</a><br /></td></tr>
<tr class="separator:a339f9817d95cb065b7670d35c03f4d88 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad7c09b0faaf3c808b0489012204852a9 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml">Tensor</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a> (size_t idx) const</td></tr>
<tr class="memdesc:ad7c09b0faaf3c808b0489012204852a9 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the tensor of a given input of the node. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">More...</a><br /></td></tr>
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<tr class="memitem:a27369471d9b2ba47746e1e923f585b9f inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml">Tensor</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a> (size_t idx) const</td></tr>
<tr class="memdesc:a27369471d9b2ba47746e1e923f585b9f inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the tensor of a given output of the node. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">More...</a><br /></td></tr>
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<tr class="memitem:a283425ac27acd897fb075e0cee215020 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute_1_1graph.xhtml#abba17a56bbf16c7cbc7acd4aa54abcea">EdgeID</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a283425ac27acd897fb075e0cee215020">input_edge_id</a> (size_t idx) const</td></tr>
<tr class="memdesc:a283425ac27acd897fb075e0cee215020 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the edge ID of a given input of the node. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a283425ac27acd897fb075e0cee215020">More...</a><br /></td></tr>
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<tr class="memitem:a6bca7473aa08cb0ecba36cb5dda2badf inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1graph_1_1_edge.xhtml">Edge</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6bca7473aa08cb0ecba36cb5dda2badf">input_edge</a> (size_t idx) const</td></tr>
<tr class="memdesc:a6bca7473aa08cb0ecba36cb5dda2badf inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the edge of a given input of the node. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6bca7473aa08cb0ecba36cb5dda2badf">More...</a><br /></td></tr>
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<tr class="memitem:abe0cb3e4411a1c289e3e40e3f9d79fec inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a> () const</td></tr>
<tr class="memdesc:abe0cb3e4411a1c289e3e40e3f9d79fec inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns number of inputs of the node. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">More...</a><br /></td></tr>
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<tr class="memitem:a75d7c8bdf0059bb235880f8ef8d190bc inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a> () const</td></tr>
<tr class="memdesc:a75d7c8bdf0059bb235880f8ef8d190bc inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns number of outputs of the node. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">More...</a><br /></td></tr>
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<tr class="memitem:a106f54af67828d3da9f8098397d3b4ea inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a106f54af67828d3da9f8098397d3b4ea">common_node_params</a> () const</td></tr>
<tr class="memdesc:a106f54af67828d3da9f8098397d3b4ea inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns common node parameters. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a106f54af67828d3da9f8098397d3b4ea">More...</a><br /></td></tr>
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<tr class="memitem:afc6514aa006c1820217d9a8d832cc656 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35d">Target</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#afc6514aa006c1820217d9a8d832cc656">requested_target</a> () const</td></tr>
<tr class="memdesc:afc6514aa006c1820217d9a8d832cc656 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns requested target for this node. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#afc6514aa006c1820217d9a8d832cc656">More...</a><br /></td></tr>
<tr class="separator:afc6514aa006c1820217d9a8d832cc656 inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa26cd423e8fc9233bd2bff46f82f46ab inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35d">Target</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#aa26cd423e8fc9233bd2bff46f82f46ab">assigned_target</a> () const</td></tr>
<tr class="memdesc:aa26cd423e8fc9233bd2bff46f82f46ab inherit pub_methods_classarm__compute_1_1graph_1_1_i_node"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns assigned target for this node. <a href="classarm__compute_1_1graph_1_1_i_node.xhtml#aa26cd423e8fc9233bd2bff46f82f46ab">More...</a><br /></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:acff0248cbb86b870f1f6a897504db869"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#acff0248cbb86b870f1f6a897504db869">compute_output_descriptor</a> (const <a class="el" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> &amp;input_descriptor, const <a class="el" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> &amp;weights_descriptor, const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;info, int <a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ac8cef0874f04203401b5d7f5a6fa2a34">depth_multiplier</a>)</td></tr>
<tr class="memdesc:acff0248cbb86b870f1f6a897504db869"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes convolution output descriptor. <a href="#acff0248cbb86b870f1f6a897504db869">More...</a><br /></td></tr>
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Static Public Attributes</h2></td></tr>
<tr class="memitem:ab61ddeea8b783f64c3881a123bd7e1f2"><td class="memItemLeft" align="right" valign="top">static constexpr <a class="el" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16">NodeType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">node_type</a> = <a class="el" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a5955c7816e24dbfab34403cca9a133fc">NodeType::FusedDepthwiseConvolutionBatchNormalizationLayer</a></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Fused Depthwise Convolution Batch Normalization node. </p>
<p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8h_source.xhtml#l00034">34</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8h_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.h</a>.</p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#ae8c23977d5b6d1b17e18166d726d8721">&#9670;&nbsp;</a></span>FusedDepthwiseConvolutionBatchNormalizationNode()</h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode</a> </td>
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<td class="paramtype">float&#160;</td>
<td class="paramname"><em>epsilon</em>, </td>
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<td class="paramtype"><a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>&#160;</td>
<td class="paramname"><em>info</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">unsigned int&#160;</td>
<td class="paramname"><em>depth_multiplier</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype"><a class="el" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a>&#160;</td>
<td class="paramname"><em>method</em>, </td>
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<td class="paramtype"><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>&#160;</td>
<td class="paramname"><em>fused_activation</em> = <code><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>()</code>&#160;</td>
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<p>Constructor. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">epsilon</td><td>Epsilon parameter. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">info</td><td>Convolution layer attributes. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">depth_multiplier</td><td>(Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">method</td><td>(Optional) Convolution method to use </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">fused_activation</td><td>(Optional) Fused activation layer. Disabled if not specified </td></tr>
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<p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00035">35</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; : _epsilon(<a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#acd39aa81617eab4d3482fa904d5dee87">epsilon</a>), _info(std::move(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>)), _depth_multiplier(<a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ac8cef0874f04203401b5d7f5a6fa2a34">depth_multiplier</a>), _method(method), _fused_activation(<a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62">fused_activation</a>)</div><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; _input_edges.resize(7, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a8e0b093eda0649ddbce791bb5076104f">EmptyEdgeID</a>);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; _outputs.resize(1, <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24">NullTensorID</a>);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_ac8cef0874f04203401b5d7f5a6fa2a34"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ac8cef0874f04203401b5d7f5a6fa2a34">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::depth_multiplier</a></div><div class="ttdeci">unsigned int depth_multiplier() const</div><div class="ttdoc">Depth multiplier accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00066">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:66</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_a32186582e0a6e02ed7ac3944f60b9c62"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::fused_activation</a></div><div class="ttdeci">ActivationLayerInfo fused_activation() const</div><div class="ttdoc">Returns fused activation.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00071">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:71</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a8e0b093eda0649ddbce791bb5076104f"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a8e0b093eda0649ddbce791bb5076104f">arm_compute::graph::EmptyEdgeID</a></div><div class="ttdeci">constexpr EdgeID EmptyEdgeID</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00073">Types.h:73</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_acd39aa81617eab4d3482fa904d5dee87"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#acd39aa81617eab4d3482fa904d5dee87">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::epsilon</a></div><div class="ttdeci">float epsilon() const</div><div class="ttdoc">Epsilon parameter accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00056">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:56</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_aa94938a3eb11fda4724c362c53c28f24"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24">arm_compute::graph::NullTensorID</a></div><div class="ttdeci">constexpr TensorID NullTensorID</div><div class="ttdoc">Constant NodeID specifying an equivalent of null node.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00069">Types.h:69</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">ConvolutionLayer.cpp:182</a></div></div>
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<p class="reference">References <a class="el" href="arm__compute_2graph_2_types_8h_source.xhtml#l00073">arm_compute::graph::EmptyEdgeID</a>, and <a class="el" href="arm__compute_2graph_2_types_8h_source.xhtml#l00069">arm_compute::graph::NullTensorID</a>.</p>
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<h2 class="groupheader">Member Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#adb48b5745c55605a2d4ec6f665bb7f3f">&#9670;&nbsp;</a></span>accept()</h2>
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<td class="memname">void accept </td>
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<td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_i_node_visitor.xhtml">INodeVisitor</a> &amp;&#160;</td>
<td class="paramname"><em>v</em></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>Accepts a node visitor. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">v</td><td>Visitor to accept </td></tr>
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<p>Implements <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a69a6e8613e2e1b00de98610c2ae6288a">INode</a>.</p>
<p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00135">135</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;{</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; v.visit(*<span class="keyword">this</span>);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;}</div></div><!-- fragment -->
<p class="reference">References <a class="el" href="classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af2dbe7c232e1d5d1a9d0621c3bb483a0">INodeVisitor::visit()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#acff0248cbb86b870f1f6a897504db869">&#9670;&nbsp;</a></span>compute_output_descriptor()</h2>
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<td class="memname"><a class="el" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> compute_output_descriptor </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> &amp;&#160;</td>
<td class="paramname"><em>input_descriptor</em>, </td>
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<td class="paramtype">const <a class="el" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> &amp;&#160;</td>
<td class="paramname"><em>weights_descriptor</em>, </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;&#160;</td>
<td class="paramname"><em>info</em>, </td>
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<td class="paramtype">int&#160;</td>
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<p>Computes convolution output descriptor. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">input_descriptor</td><td>Input descriptor </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">weights_descriptor</td><td>Weights descriptor </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">info</td><td>Convolution operation attributes </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">depth_multiplier</td><td>Depth multiplier</td></tr>
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<dl class="section return"><dt>Returns</dt><dd>Output descriptor </dd></dl>
<p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00081">81</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;{</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> output_width = 0;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> output_height = 0;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> input_width = <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(input_descriptor, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">DataLayoutDimension::WIDTH</a>);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> input_height = <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(input_descriptor, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">DataLayoutDimension::HEIGHT</a>);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> input_channels = <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(input_descriptor, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernel_width = <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(weights_descriptor, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">DataLayoutDimension::WIDTH</a>);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernel_height = <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(weights_descriptor, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">DataLayoutDimension::HEIGHT</a>);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; std::tie(output_width, output_height) = <a class="code" href="namespacearm__compute.xhtml#a138beaeb1260b90cb03bc3f761628724">scaled_dimensions</a>(input_width, input_height, kernel_width, kernel_height, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; TensorDescriptor output_descriptor = input_descriptor;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; output_descriptor.shape.set(<a class="code" href="namespacearm__compute_1_1graph.xhtml#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(output_descriptor.layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">DataLayoutDimension::WIDTH</a>), output_width);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; output_descriptor.shape.set(<a class="code" href="namespacearm__compute_1_1graph.xhtml#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(output_descriptor.layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">DataLayoutDimension::HEIGHT</a>), output_height);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; output_descriptor.shape.set(<a class="code" href="namespacearm__compute_1_1graph.xhtml#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(output_descriptor.layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>), input_channels * <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ac8cef0874f04203401b5d7f5a6fa2a34">depth_multiplier</a>);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordflow">return</span> output_descriptor;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a75f8e464c6b01b0a4771de38669ee9a1"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">arm_compute::graph::get_dimension_size</a></div><div class="ttdeci">size_t get_dimension_size(const TensorDescriptor &amp;descriptor, const DataLayoutDimension data_layout_dimension)</div><div class="ttdoc">Get size of a tensor's given dimension depending on its layout.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2_utils_8cpp_source.xhtml#l00123">Utils.cpp:123</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_ac8cef0874f04203401b5d7f5a6fa2a34"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ac8cef0874f04203401b5d7f5a6fa2a34">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::depth_multiplier</a></div><div class="ttdeci">unsigned int depth_multiplier() const</div><div class="ttdoc">Depth multiplier accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00066">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:66</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">arm_compute::DataLayoutDimension::HEIGHT</a></div><div class="ttdoc">height</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a138beaeb1260b90cb03bc3f761628724"><div class="ttname"><a href="namespacearm__compute.xhtml#a138beaeb1260b90cb03bc3f761628724">arm_compute::scaled_dimensions</a></div><div class="ttdeci">std::pair&lt; unsigned int, unsigned int &gt; scaled_dimensions(int width, int height, int kernel_width, int kernel_height, const PadStrideInfo &amp;pad_stride_info, const Size2D &amp;dilation=Size2D(1U, 1U))</div><div class="ttdoc">Returns expected width and height of output scaled tensor depending on dimensions rounding mode.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_utils_8cpp_source.xhtml#l00402">Utils.cpp:402</a></div></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_a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">arm_compute::DataLayoutDimension::WIDTH</a></div><div class="ttdoc">width</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">ConvolutionLayer.cpp:182</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a1df15aed3ed531f442ecea2a131d65a4"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a1df15aed3ed531f442ecea2a131d65a4">arm_compute::graph::get_dimension_idx</a></div><div class="ttdeci">size_t get_dimension_idx(DataLayout data_layout, const DataLayoutDimension data_layout_dimension)</div><div class="ttdoc">Get index of a tensor's given dimension depending on its layout.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2_utils_8cpp_source.xhtml#l00129">Utils.cpp:129</a></div></div>
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<p class="reference">References <a class="el" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">arm_compute::CHANNEL</a>, <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00066">FusedDepthwiseConvolutionBatchNormalizationNode::depth_multiplier()</a>, <a class="el" href="src_2graph_2_utils_8cpp_source.xhtml#l00129">arm_compute::graph::get_dimension_idx()</a>, <a class="el" href="src_2graph_2_utils_8cpp_source.xhtml#l00123">arm_compute::graph::get_dimension_size()</a>, <a class="el" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">arm_compute::HEIGHT</a>, <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">arm_compute::test::validation::info</a>, <a class="el" href="_tensor_descriptor_8h_source.xhtml#l00111">TensorDescriptor::layout</a>, <a class="el" href="src_2core_2_utils_8cpp_source.xhtml#l00402">arm_compute::scaled_dimensions()</a>, <a class="el" href="_tensor_shape_8h_source.xhtml#l00078">TensorShape::set()</a>, <a class="el" href="_tensor_descriptor_8h_source.xhtml#l00109">TensorDescriptor::shape</a>, and <a class="el" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">arm_compute::WIDTH</a>.</p>
<p class="reference">Referenced by <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00117">FusedDepthwiseConvolutionBatchNormalizationNode::configure_output()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a3f18a7449b9d7fc9e5fec212b8e61710">&#9670;&nbsp;</a></span>configure_output()</h2>
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<td class="memname"><a class="el" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> configure_output </td>
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<p>Calculates output configuration. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">idx</td><td>Output index to configure</td></tr>
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<dl class="section return"><dt>Returns</dt><dd>Output descriptor configuration </dd></dl>
<p>Implements <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a98dd474c332ea76a71bd81b790d7e0d9">INode</a>.</p>
<p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00117">117</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;{</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(idx);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keyword">const</span> Tensor *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keyword">const</span> Tensor *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(1);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> == <span class="keyword">nullptr</span> || <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; TensorDescriptor <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a> = <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#acff0248cbb86b870f1f6a897504db869">compute_output_descriptor</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>-&gt;desc(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-&gt;desc(), _info, _depth_multiplier);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160;}</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00466">Error.h:466</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a25cae7166733a51d1354f3f395652782"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">arm_compute::test::validation::output_info</a></div><div class="ttdeci">output_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00328">Winograd.cpp:328</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_acff0248cbb86b870f1f6a897504db869"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#acff0248cbb86b870f1f6a897504db869">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::compute_output_descriptor</a></div><div class="ttdeci">static TensorDescriptor compute_output_descriptor(const TensorDescriptor &amp;input_descriptor, const TensorDescriptor &amp;weights_descriptor, const PadStrideInfo &amp;info, int depth_multiplier)</div><div class="ttdoc">Computes convolution output descriptor.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00081">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:81</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00188">ConvolutionLayer.cpp:188</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_ad7c09b0faaf3c808b0489012204852a9"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">arm_compute::graph::INode::input</a></div><div class="ttdeci">Tensor * input(size_t idx) const</div><div class="ttdoc">Returns the tensor of a given input of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00150">INode.cpp:150</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a989ab3e96426615bb98e04e0235088ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">arm_compute::test::validation::src</a></div><div class="ttdeci">cast configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_cast_8cpp_source.xhtml#l00169">Cast.cpp:169</a></div></div>
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<p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00466">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="_error_8h_source.xhtml#l00152">ARM_COMPUTE_UNUSED</a>, <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00081">FusedDepthwiseConvolutionBatchNormalizationNode::compute_output_descriptor()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00328">arm_compute::test::validation::output_info</a>, <a class="el" href="_c_l_2_cast_8cpp_source.xhtml#l00169">arm_compute::test::validation::src</a>, and <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00188">arm_compute::test::validation::weights</a>.</p>
<p class="reference">Referenced by <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00105">FusedDepthwiseConvolutionBatchNormalizationNode::forward_descriptors()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#ad087f1f9aa1e444236911adf6c57df04">&#9670;&nbsp;</a></span>convolution_info()</h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> convolution_info </td>
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<p>Convolution metadata accessor. </p>
<dl class="section return"><dt>Returns</dt><dd>Convolution information </dd></dl>
<p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00061">61</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;{</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keywordflow">return</span> _info;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;}</div></div><!-- fragment -->
<p class="reference">Referenced by <a class="el" href="_function_helpers_8h_source.xhtml#l00239">arm_compute::graph::backends::detail::create_fused_depthwise_convolution_batch_normalization_layer()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#ac8cef0874f04203401b5d7f5a6fa2a34">&#9670;&nbsp;</a></span>depth_multiplier()</h2>
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<td class="memname">unsigned int depth_multiplier </td>
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<p>Depth multiplier accessor. </p>
<dl class="section return"><dt>Returns</dt><dd>Depth multiplier </dd></dl>
<p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00066">66</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;{</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keywordflow">return</span> _depth_multiplier;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;}</div></div><!-- fragment -->
<p class="reference">Referenced by <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00081">FusedDepthwiseConvolutionBatchNormalizationNode::compute_output_descriptor()</a>, and <a class="el" href="_function_helpers_8h_source.xhtml#l00239">arm_compute::graph::backends::detail::create_fused_depthwise_convolution_batch_normalization_layer()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a8cefd89d2de49691e778c8d5a08ac92f">&#9670;&nbsp;</a></span>depthwise_convolution_method()</h2>
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<td class="memname"><a class="el" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a> depthwise_convolution_method </td>
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<p>Depthwise convolution layer method accessor. </p>
<dl class="section note"><dt>Note</dt><dd>This is an indication on which depthwise convolution layer implementation to use, if it fails to be created the library's heuristic approach will be used</dd></dl>
<dl class="section return"><dt>Returns</dt><dd>Depthwise convolution layer method to be used by the node </dd></dl>
<p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00051">51</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;{</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keywordflow">return</span> _method;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;}</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#acd39aa81617eab4d3482fa904d5dee87">&#9670;&nbsp;</a></span>epsilon()</h2>
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<td class="memname">float epsilon </td>
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<p>Epsilon parameter accessor. </p>
<dl class="section return"><dt>Returns</dt><dd>Epsilon parameter </dd></dl>
<p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00056">56</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;{</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keywordflow">return</span> _epsilon;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;}</div></div><!-- fragment -->
<p class="reference">Referenced by <a class="el" href="_function_helpers_8h_source.xhtml#l00239">arm_compute::graph::backends::detail::create_fused_depthwise_convolution_batch_normalization_layer()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a6272eb9643b239dd0c1e7adde3ee093b">&#9670;&nbsp;</a></span>forward_descriptors()</h2>
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<td class="memname">bool forward_descriptors </td>
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<p>Forwards descriptor information to outputs if possible. </p>
<dl class="section return"><dt>Returns</dt><dd>True if descriptor information could be forwarded otherwise false </dd></dl>
<p>Implements <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5edbd8a4a1b75060bb3b49bc0ba2c6b0">INode</a>.</p>
<p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00105">105</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;{</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keywordflow">if</span>((<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6a156d1ea7a01d8b27131f30aacaf40b">input_id</a>(0) != <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24">NullTensorID</a>) &amp;&amp; (<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6a156d1ea7a01d8b27131f30aacaf40b">input_id</a>(1) != <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24">NullTensorID</a>) &amp;&amp; (<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a339f9817d95cb065b7670d35c03f4d88">output_id</a>(0) != <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24">NullTensorID</a>))</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; Tensor *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>-&gt;desc() = <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">configure_output</a>(0);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; }</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_a3f18a7449b9d7fc9e5fec212b8e61710"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::configure_output</a></div><div class="ttdeci">TensorDescriptor configure_output(size_t idx) const override</div><div class="ttdoc">Calculates output configuration.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00117">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:117</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00466">Error.h:466</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a27369471d9b2ba47746e1e923f585b9f"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">arm_compute::graph::INode::output</a></div><div class="ttdeci">Tensor * output(size_t idx) const</div><div class="ttdoc">Returns the tensor of a given output of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00158">INode.cpp:158</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a6a156d1ea7a01d8b27131f30aacaf40b"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6a156d1ea7a01d8b27131f30aacaf40b">arm_compute::graph::INode::input_id</a></div><div class="ttdeci">TensorID input_id(size_t idx) const</div><div class="ttdoc">Returns the tensor ID of a given input of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00137">INode.cpp:137</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00102">AbsoluteDifference.cpp:102</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a339f9817d95cb065b7670d35c03f4d88"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a339f9817d95cb065b7670d35c03f4d88">arm_compute::graph::INode::output_id</a></div><div class="ttdeci">TensorID output_id(size_t idx) const</div><div class="ttdoc">Returns the tensor ID of a given output of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00144">INode.cpp:144</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_aa94938a3eb11fda4724c362c53c28f24"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24">arm_compute::graph::NullTensorID</a></div><div class="ttdeci">constexpr TensorID NullTensorID</div><div class="ttdoc">Constant NodeID specifying an equivalent of null node.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00069">Types.h:69</a></div></div>
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<p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00466">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00117">FusedDepthwiseConvolutionBatchNormalizationNode::configure_output()</a>, <a class="el" href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00102">arm_compute::test::validation::dst</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00137">INode::input_id()</a>, <a class="el" href="arm__compute_2graph_2_types_8h_source.xhtml#l00069">arm_compute::graph::NullTensorID</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="_i_node_8cpp_source.xhtml#l00144">INode::output_id()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a32186582e0a6e02ed7ac3944f60b9c62">&#9670;&nbsp;</a></span>fused_activation()</h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> fused_activation </td>
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<p>Returns fused activation. </p>
<dl class="section return"><dt>Returns</dt><dd>Fused activation </dd></dl>
<p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00071">71</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;{</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordflow">return</span> _fused_activation;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;}</div></div><!-- fragment -->
<p class="reference">Referenced by <a class="el" href="_function_helpers_8h_source.xhtml#l00239">arm_compute::graph::backends::detail::create_fused_depthwise_convolution_batch_normalization_layer()</a>, and <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00076">FusedDepthwiseConvolutionBatchNormalizationNode::set_fused_activation()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a9d809efcf3df31392abc965f2cc3bae6">&#9670;&nbsp;</a></span>set_convolution_method()</h2>
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<td class="memname">void set_convolution_method </td>
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<td class="paramtype"><a class="el" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517d">ConvolutionMethod</a>&#160;</td>
<td class="paramname"><em>method</em></td><td>)</td>
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<p>Sets the convolution layer method to use. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#af5320f5c3406e2263ed1a412c59d18c5">&#9670;&nbsp;</a></span>set_depthwise_convolution_method()</h2>
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<td class="memname">void set_depthwise_convolution_method </td>
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<td class="paramtype"><a class="el" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a>&#160;</td>
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<p>Sets the depthwise convolution layer method to use. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">method</td><td>Method to use for depthwise convolution </td></tr>
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<p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00046">46</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;{</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; _method = method;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;}</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a8f9c3ed345d401dc02c5a8f34b284a33">&#9670;&nbsp;</a></span>set_fused_activation()</h2>
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<td class="memname">void set_fused_activation </td>
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<td class="paramname"><em>fused_activation</em></td><td>)</td>
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<p>Sets fused activation. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">fused_activation</td><td>Fused activation to set </td></tr>
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<p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00076">76</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;{</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; _fused_activation = <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62">fused_activation</a>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_a32186582e0a6e02ed7ac3944f60b9c62"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::fused_activation</a></div><div class="ttdeci">ActivationLayerInfo fused_activation() const</div><div class="ttdoc">Returns fused activation.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00071">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:71</a></div></div>
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<p class="reference">References <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00071">FusedDepthwiseConvolutionBatchNormalizationNode::fused_activation()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a65d13dc93e2df5e8ab725263cf9f4ac5">&#9670;&nbsp;</a></span>type()</h2>
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<td class="memname"><a class="el" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16">NodeType</a> type </td>
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<p>Returns node's type. </p>
<dl class="section return"><dt>Returns</dt><dd>Node's type </dd></dl>
<p>Implements <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6b2d83e561886647467f86c20ce39bec">INode</a>.</p>
<p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00130">130</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;{</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">FusedDepthwiseConvolutionBatchNormalizationNode::node_type</a>;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_ab61ddeea8b783f64c3881a123bd7e1f2"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::node_type</a></div><div class="ttdeci">static constexpr NodeType node_type</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8h_source.xhtml#l00123">FusedDepthwiseConvolutionBatchNormalizationNode.h:123</a></div></div>
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<p class="reference">References <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8h_source.xhtml#l00123">FusedDepthwiseConvolutionBatchNormalizationNode::node_type</a>.</p>
<p class="reference">Referenced by <a class="el" href="_function_helpers_8h_source.xhtml#l00239">arm_compute::graph::backends::detail::create_fused_depthwise_convolution_batch_normalization_layer()</a>.</p>
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<h2 class="groupheader">Field Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#ab61ddeea8b783f64c3881a123bd7e1f2">&#9670;&nbsp;</a></span>node_type</h2>
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<td class="memname">constexpr <a class="el" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16">NodeType</a> node_type = <a class="el" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a5955c7816e24dbfab34403cca9a133fc">NodeType::FusedDepthwiseConvolutionBatchNormalizationLayer</a></td>
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<p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8h_source.xhtml#l00123">123</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8h_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.h</a>.</p>
<p class="reference">Referenced by <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00130">FusedDepthwiseConvolutionBatchNormalizationNode::type()</a>.</p>
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<hr/>The documentation for this class was generated from the following files:<ul>
<li>arm_compute/graph/nodes/<a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8h_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.h</a></li>
<li>src/graph/nodes/<a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.cpp</a></li>
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