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authorDavid Monahan <david.monahan@arm.com>2023-03-22 16:48:58 +0000
committerDavid Monahan <david.monahan@arm.com>2023-03-22 16:48:58 +0000
commitae050524109f1ce827962665436ef7430f2ac479 (patch)
treea087fe0c77570971dd7979f2757426c24e91afc7 /23.02/classarmnn_1_1_log_softmax_layer.xhtml
parent8d2ca734165a068478df7cffa46185680b05cd20 (diff)
downloadarmnn-ae050524109f1ce827962665436ef7430f2ac479.tar.gz
IVGCVSW-7255 Update Doxygen Documentation and publish on GitHub.
* Updating Doxygen documentation for 23.02 release. Signed-off-by: David Monahan <david.monahan@arm.com> Change-Id: I545574ff7664b4595d2fe6a91a3c35d2ad55df82
Diffstat (limited to '23.02/classarmnn_1_1_log_softmax_layer.xhtml')
-rw-r--r--23.02/classarmnn_1_1_log_softmax_layer.xhtml141
1 files changed, 85 insertions, 56 deletions
diff --git a/23.02/classarmnn_1_1_log_softmax_layer.xhtml b/23.02/classarmnn_1_1_log_softmax_layer.xhtml
index 4e7d11f234..8cf07ef33a 100644
--- a/23.02/classarmnn_1_1_log_softmax_layer.xhtml
+++ b/23.02/classarmnn_1_1_log_softmax_layer.xhtml
@@ -8,7 +8,7 @@
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<title>ArmNN: LogSoftmaxLayer Class Reference</title>
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@@ -115,23 +118,23 @@ Inheritance diagram for LogSoftmaxLayer:</div>
<map id="LogSoftmaxLayer_map" name="LogSoftmaxLayer_map">
<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; LogSoftmaxDescriptor &gt;" shape="rect" coords="0,112,281,136"/>
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+<area href="classarmnn_1_1_i_connectable_layer.xhtml" title="Interface for a layer that is connectable to other layers via InputSlots and OutputSlots." alt="IConnectableLayer" shape="rect" coords="0,0,281,24"/>
+ </map>
+</div></div>
<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:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">CreateWorkload</a> (const <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a> &amp;factory) const override</td></tr>
-<tr class="memdesc:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Makes a workload for the LogSoftmax type. <a href="#adfa912d0c4c6c00f1af2cbfa799572b7">More...</a><br /></td></tr>
+<tr class="memdesc:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Makes a workload for the LogSoftmax type. <a href="classarmnn_1_1_log_softmax_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">More...</a><br /></td></tr>
<tr class="separator:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1ee115ea0c7522119fe3fa919094d856"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml">LogSoftmaxLayer</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml#a1ee115ea0c7522119fe3fa919094d856">Clone</a> (<a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> &amp;graph) const override</td></tr>
-<tr class="memdesc:a1ee115ea0c7522119fe3fa919094d856"><td class="mdescLeft">&#160;</td><td class="mdescRight">Creates a dynamically-allocated copy of this layer. <a href="#a1ee115ea0c7522119fe3fa919094d856">More...</a><br /></td></tr>
+<tr class="memdesc:a1ee115ea0c7522119fe3fa919094d856"><td class="mdescLeft">&#160;</td><td class="mdescRight">Creates a dynamically-allocated copy of this layer. <a href="classarmnn_1_1_log_softmax_layer.xhtml#a1ee115ea0c7522119fe3fa919094d856">More...</a><br /></td></tr>
<tr class="separator:a1ee115ea0c7522119fe3fa919094d856"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8c8f543d7e9729362c266d12ec169966"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ValidateTensorShapesFromInputs</a> () override</td></tr>
-<tr class="memdesc:a8c8f543d7e9729362c266d12ec169966"><td class="mdescLeft">&#160;</td><td class="mdescRight">Check if the input tensor shape(s) will lead to a valid configuration of <a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml">LogSoftmaxLayer</a>. <a href="#a8c8f543d7e9729362c266d12ec169966">More...</a><br /></td></tr>
+<tr class="memdesc:a8c8f543d7e9729362c266d12ec169966"><td class="mdescLeft">&#160;</td><td class="mdescRight">Check if the input tensor shape(s) will lead to a valid configuration of <a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml">LogSoftmaxLayer</a>. <a href="classarmnn_1_1_log_softmax_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">More...</a><br /></td></tr>
<tr class="separator:a8c8f543d7e9729362c266d12ec169966"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a46fc3fdd4b2a5dd6d184e57983cf20bc"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ExecuteStrategy</a> (<a class="el" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a> &amp;strategy) const override</td></tr>
-<tr class="memdesc:a46fc3fdd4b2a5dd6d184e57983cf20bc"><td class="mdescLeft">&#160;</td><td class="mdescRight">Apply a visitor to this layer. <a href="#a46fc3fdd4b2a5dd6d184e57983cf20bc">More...</a><br /></td></tr>
+<tr class="memdesc:a46fc3fdd4b2a5dd6d184e57983cf20bc"><td class="mdescLeft">&#160;</td><td class="mdescRight">Apply a visitor to this layer. <a href="classarmnn_1_1_log_softmax_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">More...</a><br /></td></tr>
<tr class="separator:a46fc3fdd4b2a5dd6d184e57983cf20bc"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classarmnn_1_1_layer_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_layer_with_parameters')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml">LayerWithParameters&lt; LogSoftmaxDescriptor &gt;</a></td></tr>
<tr class="memitem:afa3e8a8f23589b1eaddbe203825bbdcf inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="namespacearmnn.xhtml#ac14705405cbcdd580df613de6766fe65">LogSoftmaxDescriptor</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a> () const override</td></tr>
@@ -174,14 +177,14 @@ Public Member Functions</h2></td></tr>
<tr class="memitem:af97a07195a67a638605b3c325763c2dd inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#af97a07195a67a638605b3c325763c2dd">GetPriority</a> () const</td></tr>
<tr class="separator:af97a07195a67a638605b3c325763c2dd inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad8e15c530c929ab823d89ae9fd2d3f11 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a> () const override</td></tr>
-<tr class="memdesc:ad8e15c530c929ab823d89ae9fd2d3f11 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4" title="When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...">armnn::LayerType</a> of this layer. <a href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">More...</a><br /></td></tr>
+<tr class="memdesc:ad8e15c530c929ab823d89ae9fd2d3f11 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4" title="When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.">armnn::LayerType</a> of this layer. <a href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">More...</a><br /></td></tr>
<tr class="separator:ad8e15c530c929ab823d89ae9fd2d3f11 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aea909c7327109228ef618d459015def3 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a> () const</td></tr>
<tr class="separator:aea909c7327109228ef618d459015def3 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:afdb1d37740e7a083b625d669588b6a0e inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a> () const</td></tr>
<tr class="separator:afdb1d37740e7a083b625d669588b6a0e inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a316670cb6b65902e017c32ca4bcb4b98 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a> (const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> &amp;id) override</td></tr>
-<tr class="memdesc:a316670cb6b65902e017c32ca4bcb4b98 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the backend of the <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml" title="Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. ">IConnectableLayer</a>. <a href="classarmnn_1_1_layer.xhtml#a316670cb6b65902e017c32ca4bcb4b98">More...</a><br /></td></tr>
+<tr class="memdesc:a316670cb6b65902e017c32ca4bcb4b98 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the backend of the <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml" title="Interface for a layer that is connectable to other layers via InputSlots and OutputSlots.">IConnectableLayer</a>. <a href="classarmnn_1_1_layer.xhtml#a316670cb6b65902e017c32ca4bcb4b98">More...</a><br /></td></tr>
<tr class="separator:a316670cb6b65902e017c32ca4bcb4b98 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3ff62126ec713a2708e5fbaa6146a7de inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a3ff62126ec713a2708e5fbaa6146a7de">CreateTensorHandles</a> (const <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a> &amp;registry, const <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a> &amp;factory, const bool IsMemoryManaged=true)</td></tr>
<tr class="separator:a3ff62126ec713a2708e5fbaa6146a7de inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
@@ -225,8 +228,8 @@ Public Member Functions</h2></td></tr>
<tr class="separator:a339248d89d5e21534ecf74b4393ed4d2 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5e5520194ea4042fe07b0bf53c28f634 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const std::list&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a5e5520194ea4042fe07b0bf53c28f634">GetRelatedLayerNames</a> ()</td></tr>
<tr class="separator:a5e5520194ea4042fe07b0bf53c28f634 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a72b18e4c5a403bc3fe2fecf20135c8d6 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a72b18e4c5a403bc3fe2fecf20135c8d6">Reparent</a> (<a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> &amp;dest, std::list&lt; <a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a> *&gt;::const_iterator iterator)=0</td></tr>
-<tr class="separator:a72b18e4c5a403bc3fe2fecf20135c8d6 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae68bb844446f28cf8580ecbe2f516ff6 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#ae68bb844446f28cf8580ecbe2f516ff6">Reparent</a> (<a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> &amp;dest, std::list&lt; <a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a> * &gt;::const_iterator iterator)=0</td></tr>
+<tr class="separator:ae68bb844446f28cf8580ecbe2f516ff6 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a43a46eafee5c08787ab17b4342730c20 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a43a46eafee5c08787ab17b4342730c20">BackendSelectionHint</a> (<a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>&lt; <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> &gt; backend) final</td></tr>
<tr class="memdesc:a43a46eafee5c08787ab17b4342730c20 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Provide a hint for the optimizer as to which backend to prefer for this layer. <a href="classarmnn_1_1_layer.xhtml#a43a46eafee5c08787ab17b4342730c20">More...</a><br /></td></tr>
<tr class="separator:a43a46eafee5c08787ab17b4342730c20 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
@@ -241,14 +244,17 @@ Public Member Functions</h2></td></tr>
<tr class="separator:aefb14147290b6b928c5fc924ba035acc inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aea1c8483ebeabc0dcbd9090b4f648f1d inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aea1c8483ebeabc0dcbd9090b4f648f1d">SetAdditionalInfoForObject</a> (const <a class="el" href="namespacearmnn.xhtml#a2a5caf3721af872f43c7642fec9449bc">AdditionalInfoObjectPtr</a> &amp;additionalInfo)</td></tr>
<tr class="separator:aea1c8483ebeabc0dcbd9090b4f648f1d inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a94a487f29157eeec10e2f9a372487bcc inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual const <a class="el" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a94a487f29157eeec10e2f9a372487bcc">GetParameters</a> () const override</td></tr>
+<tr class="memdesc:a94a487f29157eeec10e2f9a372487bcc inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">If the layer has a descriptor return it. <a href="classarmnn_1_1_layer.xhtml#a94a487f29157eeec10e2f9a372487bcc">More...</a><br /></td></tr>
+<tr class="separator:a94a487f29157eeec10e2f9a372487bcc inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a>
Protected Member Functions</h2></td></tr>
<tr class="memitem:a91ece56e0ffa4bb9e71d664202991187"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml#a91ece56e0ffa4bb9e71d664202991187">LogSoftmaxLayer</a> (const <a class="el" href="namespacearmnn.xhtml#ac14705405cbcdd580df613de6766fe65">LogSoftmaxDescriptor</a> &amp;param, const char *name)</td></tr>
-<tr class="memdesc:a91ece56e0ffa4bb9e71d664202991187"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor to create a <a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml" title="This layer represents a log softmax operation. ">LogSoftmaxLayer</a>. <a href="#a91ece56e0ffa4bb9e71d664202991187">More...</a><br /></td></tr>
+<tr class="memdesc:a91ece56e0ffa4bb9e71d664202991187"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor to create a <a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml" title="This layer represents a log softmax operation.">LogSoftmaxLayer</a>. <a href="classarmnn_1_1_log_softmax_layer.xhtml#a91ece56e0ffa4bb9e71d664202991187">More...</a><br /></td></tr>
<tr class="separator:a91ece56e0ffa4bb9e71d664202991187"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab6811d61d02a91eb2329d4754dfb8300"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml#ab6811d61d02a91eb2329d4754dfb8300">~LogSoftmaxLayer</a> ()=default</td></tr>
-<tr class="memdesc:ab6811d61d02a91eb2329d4754dfb8300"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor. <a href="#ab6811d61d02a91eb2329d4754dfb8300">More...</a><br /></td></tr>
+<tr class="memdesc:ab6811d61d02a91eb2329d4754dfb8300"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor. <a href="classarmnn_1_1_log_softmax_layer.xhtml#ab6811d61d02a91eb2329d4754dfb8300">More...</a><br /></td></tr>
<tr class="separator:ab6811d61d02a91eb2329d4754dfb8300"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pro_methods_classarmnn_1_1_layer_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_layer_with_parameters')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml">LayerWithParameters&lt; LogSoftmaxDescriptor &gt;</a></td></tr>
<tr class="memitem:a1f5a1d629b1ef52a0d8e0214a0fb51a1 inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a1f5a1d629b1ef52a0d8e0214a0fb51a1">LayerWithParameters</a> (unsigned int numInputSlots, unsigned int numOutputSlots, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, const <a class="el" href="namespacearmnn.xhtml#ac14705405cbcdd580df613de6766fe65">LogSoftmaxDescriptor</a> &amp;param, const char *name)</td></tr>
@@ -267,10 +273,10 @@ Protected Member Functions</h2></td></tr>
<tr class="memitem:aacfb208d750bdfce1bbd423e5cac76e2 inherit pro_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aacfb208d750bdfce1bbd423e5cac76e2">~Layer</a> ()=default</td></tr>
<tr class="separator:aacfb208d750bdfce1bbd423e5cac76e2 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
-<tr class="memitem:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#afc3239f5fc116259bf5451964e803646">CollectQueueDescriptorInputs</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> &amp;descriptor, <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &amp;<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr>
+<tr class="memitem:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#afc3239f5fc116259bf5451964e803646">CollectQueueDescriptorInputs</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> &amp;descriptor, <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &amp;info) const</td></tr>
<tr class="separator:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
-<tr class="memitem:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a499ca5a94d0174ed21786b6994b2cd8c">CollectQueueDescriptorOutputs</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> &amp;descriptor, <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &amp;<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr>
+<tr class="memitem:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a499ca5a94d0174ed21786b6994b2cd8c">CollectQueueDescriptorOutputs</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> &amp;descriptor, <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &amp;info) const</td></tr>
<tr class="separator:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aeb2d638cc0e02c10075e015100996f2d inherit pro_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &amp;outputShape, const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &amp;inferredShape, const <a class="el" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod, const std::string &amp;layerName, const unsigned int outputSlotIndex=0)</td></tr>
<tr class="separator:aeb2d638cc0e02c10075e015100996f2d inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
@@ -351,7 +357,7 @@ Additional Inherited Members</h2></td></tr>
</table>
</div><div class="memdoc">
-<p>Constructor to create a <a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml" title="This layer represents a log softmax operation. ">LogSoftmaxLayer</a>. </p>
+<p>Constructor to create a <a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml" title="This layer represents a log softmax operation.">LogSoftmaxLayer</a>. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">param</td><td>LogSoftmaxDescriptor to configure the log softmax operation. </td></tr>
@@ -361,8 +367,7 @@ Additional Inherited Members</h2></td></tr>
</dl>
<p class="definition">Definition at line <a class="el" href="_log_softmax_layer_8cpp_source.xhtml#l00018">18</a> of file <a class="el" href="_log_softmax_layer_8cpp_source.xhtml">LogSoftmaxLayer.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; : <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#a1f5a1d629b1ef52a0d8e0214a0fb51a1">LayerWithParameters</a>(1, 1, <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</a>, param, name) {}</div><div class="ttc" id="classarmnn_1_1_layer_with_parameters_xhtml_a1f5a1d629b1ef52a0d8e0214a0fb51a1"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#a1f5a1d629b1ef52a0d8e0214a0fb51a1">armnn::LayerWithParameters&lt; LogSoftmaxDescriptor &gt;::LayerWithParameters</a></div><div class="ttdeci">LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const LogSoftmaxDescriptor &amp;param, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00030">LayerWithParameters.hpp:30</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LayerType::LogSoftmax</a></div></div>
+<div class="fragment"><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; : <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#a1f5a1d629b1ef52a0d8e0214a0fb51a1">LayerWithParameters</a>(1, 1, <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</a>, param, name) {}</div>
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@@ -429,11 +434,12 @@ Additional Inherited Members</h2></td></tr>
<p>Implements <a class="el" href="classarmnn_1_1_layer.xhtml#ae89ff455503aa106d00bf34103d2f2e0">Layer</a>.</p>
<p class="definition">Definition at line <a class="el" href="_log_softmax_layer_8cpp_source.xhtml#l00029">29</a> of file <a class="el" href="_log_softmax_layer_8cpp_source.xhtml">LogSoftmaxLayer.cpp</a>.</p>
-
-<p class="reference">References <a class="el" href="_layer_8hpp_source.xhtml#l00319">Layer::GetName()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.xhtml#l00052">LayerWithParameters&lt; LogSoftmaxDescriptor &gt;::m_Param</a>.</p>
-<div class="fragment"><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;{</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="keywordflow">return</span> CloneBase&lt;LogSoftmaxLayer&gt;(graph, <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_layer_with_parameters_xhtml_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters&lt; LogSoftmaxDescriptor &gt;::m_Param</a></div><div class="ttdeci">LogSoftmaxDescriptor m_Param</div><div class="ttdoc">The parameters for the layer (not including tensor-valued weights etc.). </div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00052">LayerWithParameters.hpp:52</a></div></div>
-<div class="ttc" id="classarmnn_1_1_layer_xhtml_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00319">Layer.hpp:319</a></div></div>
+<div class="fragment"><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;{</div>
+<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="keywordflow">return</span> CloneBase&lt;LogSoftmaxLayer&gt;(graph, <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
+<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;}</div>
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+<p class="reference">References <a class="el" href="_layer_8hpp_source.xhtml#l00319">Layer::GetName()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.xhtml#l00052">LayerWithParameters&lt; LogSoftmaxDescriptor &gt;::m_Param</a>.</p>
+
</div>
</div>
<a id="adfa912d0c4c6c00f1af2cbfa799572b7"></a>
@@ -473,12 +479,15 @@ Additional Inherited Members</h2></td></tr>
<p>Implements <a class="el" href="classarmnn_1_1_layer.xhtml#a08d1e10a45f15cd0bd02557be35a3864">Layer</a>.</p>
<p class="definition">Definition at line <a class="el" href="_log_softmax_layer_8cpp_source.xhtml#l00021">21</a> of file <a class="el" href="_log_softmax_layer_8cpp_source.xhtml">LogSoftmaxLayer.cpp</a>.</p>
-
-<p class="reference">References <a class="el" href="_workload_factory_8cpp_source.xhtml#l01561">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LogSoftmax</a>, <a class="el" href="_layer_with_parameters_8hpp_source.xhtml#l00044">LayerWithParameters&lt; LogSoftmaxDescriptor &gt;::PrepInfoAndDesc()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00274">Layer::SetAdditionalInfo()</a>.</p>
-<div class="fragment"><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;{</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; LogSoftmaxQueueDescriptor descriptor;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keywordflow">return</span> factory.CreateWorkload(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &amp;descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00274">Layer.cpp:274</a></div></div>
-<div class="ttc" id="classarmnn_1_1_layer_with_parameters_xhtml_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters&lt; LogSoftmaxDescriptor &gt;::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &amp;descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *Layer::CreateWorkload. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00044">LayerWithParameters.hpp:44</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LayerType::LogSoftmax</a></div></div>
+<div class="fragment"><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;{</div>
+<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; LogSoftmaxQueueDescriptor descriptor;</div>
+<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div>
+<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; </div>
+<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keywordflow">return</span> factory.CreateWorkload(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div>
+<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;}</div>
</div><!-- fragment -->
+<p class="reference">References <a class="el" href="_workload_factory_8cpp_source.xhtml#l01561">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LogSoftmax</a>, <a class="el" href="_layer_with_parameters_8hpp_source.xhtml#l00044">LayerWithParameters&lt; LogSoftmaxDescriptor &gt;::PrepInfoAndDesc()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00274">Layer::SetAdditionalInfo()</a>.</p>
+
</div>
</div>
<a id="a46fc3fdd4b2a5dd6d184e57983cf20bc"></a>
@@ -510,11 +519,12 @@ Additional Inherited Members</h2></td></tr>
<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a>.</p>
<p class="definition">Definition at line <a class="el" href="_log_softmax_layer_8cpp_source.xhtml#l00048">48</a> of file <a class="el" href="_log_softmax_layer_8cpp_source.xhtml">LogSoftmaxLayer.cpp</a>.</p>
-
-<p class="reference">References <a class="el" href="classarmnn_1_1_i_strategy.xhtml#ad4f8c9ff973cf6a603d26b56c5b34967">IStrategy::ExecuteStrategy()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00319">Layer::GetName()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.xhtml#l00019">LayerWithParameters&lt; LogSoftmaxDescriptor &gt;::GetParameters()</a>.</p>
-<div class="fragment"><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;{</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; strategy.ExecuteStrategy(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), {}, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_layer_with_parameters_xhtml_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters&lt; LogSoftmaxDescriptor &gt;::GetParameters</a></div><div class="ttdeci">const LogSoftmaxDescriptor &amp; GetParameters() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00019">LayerWithParameters.hpp:19</a></div></div>
-<div class="ttc" id="classarmnn_1_1_layer_xhtml_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00319">Layer.hpp:319</a></div></div>
+<div class="fragment"><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;{</div>
+<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; strategy.ExecuteStrategy(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), {}, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
+<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;}</div>
</div><!-- fragment -->
+<p class="reference">References <a class="el" href="classarmnn_1_1_i_strategy.xhtml#ad4f8c9ff973cf6a603d26b56c5b34967">IStrategy::ExecuteStrategy()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00319">Layer::GetName()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.xhtml#l00019">LayerWithParameters&lt; LogSoftmaxDescriptor &gt;::GetParameters()</a>.</p>
+
</div>
</div>
<a id="a8c8f543d7e9729362c266d12ec169966"></a>
@@ -551,22 +561,21 @@ Additional Inherited Members</h2></td></tr>
<p>Implements <a class="el" href="classarmnn_1_1_layer.xhtml#a84ff600212ba26e665de9b978ec896a4">Layer</a>.</p>
<p class="definition">Definition at line <a class="el" href="_log_softmax_layer_8cpp_source.xhtml#l00034">34</a> of file <a class="el" href="_log_softmax_layer_8cpp_source.xhtml">LogSoftmaxLayer.cpp</a>.</p>
-
-<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, <a class="el" href="_exceptions_8hpp_source.xhtml#l00203">CHECK_LOCATION</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00206">InputSlot::GetConnection()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00324">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00326">Layer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetShape()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00092">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00397">Layer::InferOutputShapes()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00423">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00422">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00378">Layer::VerifyLayerConnections()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00491">Layer::VerifyShapeInferenceType()</a>.</p>
-<div class="fragment"><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;{</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(1, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keyword">const</span> TensorShape&amp; outputShape = <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</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; <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>({ <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-&gt;<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() });</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes.size() == 1);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">&quot;LogSoftmaxLayer&quot;</span>);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div>
-<div class="ttc" id="classarmnn_1_1_layer_xhtml_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a">armnn::Layer::InferOutputShapes</a></div><div class="ttdeci">std::vector&lt; TensorShape &gt; InferOutputShapes(const std::vector&lt; TensorShape &gt; &amp;inputShapes) const override</div><div class="ttdoc">Infer the shape of the output(s) based on the provided input shape(s) </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00397">Layer.cpp:397</a></div></div>
-<div class="ttc" id="classarmnn_1_1_layer_xhtml_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &amp;outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00491">Layer.cpp:491</a></div></div>
-<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a3153abb7c0c0a84629079b2fac7db54f"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">armnn::InputSlot::GetConnection</a></div><div class="ttdeci">const IOutputSlot * GetConnection() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00206">Layer.hpp:206</a></div></div>
-<div class="ttc" id="classarmnn_1_1_layer_xhtml_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &amp;outputShape, const TensorShape &amp;inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &amp;layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00422">Layer.cpp:422</a></div></div>
-<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &amp;location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00378">Layer.cpp:378</a></div></div>
-<div class="ttc" id="classarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot &amp; GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00324">Layer.hpp:324</a></div></div>
-<div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div>
-<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00203">Exceptions.hpp:203</a></div></div>
-<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot &amp; GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00326">Layer.hpp:326</a></div></div>
-<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo &amp; GetTensorInfo() const =0</div></div>
-<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00092">Layer.cpp:92</a></div></div>
-<div class="ttc" id="classarmnn_1_1_layer_xhtml_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00423">Layer.hpp:423</a></div></div>
+<div class="fragment"><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;{</div>
+<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(1, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
+<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; </div>
+<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keyword">const</span> TensorShape&amp; outputShape = <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
+<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; </div>
+<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</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; <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>({ <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9e3eee087babbe637e77f85404b9d761">GetConnection</a>()-&gt;<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() });</div>
+<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes.size() == 1);</div>
+<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; </div>
+<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">&quot;LogSoftmaxLayer&quot;</span>);</div>
+<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;}</div>
</div><!-- fragment -->
+<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, <a class="el" href="_exceptions_8hpp_source.xhtml#l00203">CHECK_LOCATION</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00206">InputSlot::GetConnection()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00324">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00326">Layer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetShape()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00092">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00397">Layer::InferOutputShapes()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00423">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00422">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00378">Layer::VerifyLayerConnections()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00491">Layer::VerifyShapeInferenceType()</a>.</p>
+
</div>
</div>
<hr/>The documentation for this class was generated from the following files:<ul>
@@ -575,13 +584,33 @@ Additional Inherited Members</h2></td></tr>
</ul>
</div><!-- contents -->
</div><!-- doc-content -->
+<div class="ttc" id="a_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00203">Exceptions.hpp:203</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &amp;location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00378">Layer.cpp:378</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_input_slot_xhtml_a9e3eee087babbe637e77f85404b9d761"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a9e3eee087babbe637e77f85404b9d761">armnn::InputSlot::GetConnection</a></div><div class="ttdeci">const IOutputSlot * GetConnection() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00206">Layer.hpp:206</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &amp;outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00491">Layer.cpp:491</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &amp;descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00274">Layer.cpp:274</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00423">Layer.hpp:423</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &amp;outputShape, const TensorShape &amp;inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &amp;layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00422">Layer.cpp:422</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_output_slot_xhtml_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00092">Layer.cpp:92</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_i_output_slot_xhtml_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo &amp; GetTensorInfo() const =0</div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot &amp; GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00326">Layer.hpp:326</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_xhtml_a1f5a1d629b1ef52a0d8e0214a0fb51a1"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#a1f5a1d629b1ef52a0d8e0214a0fb51a1">armnn::LayerWithParameters&lt; LogSoftmaxDescriptor &gt;::LayerWithParameters</a></div><div class="ttdeci">LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const LogSoftmaxDescriptor &amp;param, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00030">LayerWithParameters.hpp:30</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_xhtml_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters&lt; LogSoftmaxDescriptor &gt;::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &amp;descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *Layer::CreateWorkload.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00044">LayerWithParameters.hpp:44</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot &amp; GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00324">Layer.hpp:324</a></div></div>
+<div class="ttc" id="a_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00319">Layer.hpp:319</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LayerType::LogSoftmax</a></div><div class="ttdeci">@ LogSoftmax</div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_xhtml_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters&lt; LogSoftmaxDescriptor &gt;::GetParameters</a></div><div class="ttdeci">const LogSoftmaxDescriptor &amp; GetParameters() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00019">LayerWithParameters.hpp:19</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_xhtml_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters&lt; LogSoftmaxDescriptor &gt;::m_Param</a></div><div class="ttdeci">LogSoftmaxDescriptor m_Param</div><div class="ttdoc">The parameters for the layer (not including tensor-valued weights etc.).</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00052">LayerWithParameters.hpp:52</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a">armnn::Layer::InferOutputShapes</a></div><div class="ttdeci">std::vector&lt; TensorShape &gt; InferOutputShapes(const std::vector&lt; TensorShape &gt; &amp;inputShapes) const override</div><div class="ttdoc">Infer the shape of the output(s) based on the provided input shape(s)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00397">Layer.cpp:397</a></div></div>
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