Update Doxygen for 23.11

Signed-off-by: Nikhil Raj <nikhil.raj@arm.com> Change-Id: I47cd933f5002cb94a73aa97689d7b3d9c93cb849
author: Nikhil Raj <nikhil.raj@arm.com> 2023-11-22 11:41:15 +0000
committer: Nikhil Raj <nikhil.raj@arm.com> 2023-11-22 11:41:15 +0000
commit: 6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c (patch)
tree: 0c076149c03ac45c2617f5e02a77b79287ff5a0f /23.11/_constant_layer_8cpp_source.html
parent: 03c7ff3f6188240baaeaeb405a357a0c58195fec (diff)
download: armnn-6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c.tar.gz
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+<div class="title">ConstantLayer.cpp</div>  </div>
+</div><!--header-->
+<div class="contents">
+<a href="_constant_layer_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div>
+<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
+<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div>
+<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_constant_layer_8hpp.html">ConstantLayer.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_layer_clone_base_8hpp.html">LayerCloneBase.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160; </div>
+<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_types_utils_8hpp.html">armnn/TypesUtils.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_data_8hpp.html">armnn/backends/WorkloadData.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_factory_8hpp.html">armnn/backends/WorkloadFactory.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160; </div>
+<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
+<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;{</div>
+<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160; </div>
+<div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="classarmnn_1_1_constant_layer.html#a13352cef234015ec4a2233f58cc764ae">   16</a></span>&#160;<a class="code" href="classarmnn_1_1_constant_layer.html#a13352cef234015ec4a2233f58cc764ae">ConstantLayer::ConstantLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;    : <a class="code" href="classarmnn_1_1_layer.html">Layer</a>(0, 1, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>::<a class="code" href="namespacearmnn.html#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">Constant</a>, name)</div>
+<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;{</div>
+<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;}</div>
+<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160; </div>
+<div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="classarmnn_1_1_constant_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">   21</a></span>&#160;std::unique_ptr&lt;IWorkload&gt; <a class="code" href="classarmnn_1_1_constant_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">ConstantLayer::CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a>&amp; factory)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="keyword"></span>{</div>
+<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;    <a class="code" href="structarmnn_1_1_constant_queue_descriptor.html">ConstantQueueDescriptor</a> descriptor;</div>
+<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;    descriptor.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a> = <a class="code" href="classarmnn_1_1_constant_layer.html#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a>.get();</div>
+<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;    <a class="code" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div>
+<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160; </div>
+<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;    <span class="keywordflow">return</span> factory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">CreateWorkload</a>(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>, descriptor, <a class="code" href="classarmnn_1_1_layer.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div>
+<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;}</div>
+<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160; </div>
+<div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="classarmnn_1_1_constant_layer.html#a5340a3dbbc84afba95fe19d1c8b5fb04">   30</a></span>&#160;<a class="code" href="classarmnn_1_1_constant_layer.html">ConstantLayer</a>* <a class="code" href="classarmnn_1_1_constant_layer.html#a5340a3dbbc84afba95fe19d1c8b5fb04">ConstantLayer::Clone</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>&amp; graph)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="keyword"></span>{</div>
+<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;    <span class="comment">// Cloned layers share the same layer output object.</span></div>
+<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;    <span class="keyword">auto</span> layer = CloneBase&lt;ConstantLayer&gt;(graph, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
+<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160; </div>
+<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    layer-&gt;m_LayerOutput = <a class="code" href="classarmnn_1_1_constant_layer.html#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a> ? <a class="code" href="classarmnn_1_1_constant_layer.html#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a> : <span class="keyword">nullptr</span>;</div>
+<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160; </div>
+<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    <span class="keywordflow">return</span> std::move(layer);</div>
+<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;}</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"><a class="line" href="classarmnn_1_1_constant_layer.html#a65ca562c882ad619684445a1402f415a">   40</a></span>&#160;std::vector&lt;TensorShape&gt; <a class="code" href="classarmnn_1_1_constant_layer.html#a65ca562c882ad619684445a1402f415a">ConstantLayer::InferOutputShapes</a>(<span class="keyword">const</span> std::vector&lt;TensorShape&gt;&amp; inputShapes)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="keyword"></span>{</div>
+<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    <span class="keywordflow">return</span> std::vector&lt;TensorShape&gt;({  inputShapes[0] });</div>
+<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;}</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"><a class="line" href="classarmnn_1_1_constant_layer.html#a8c8f543d7e9729362c266d12ec169966">   45</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_constant_layer.html#a8c8f543d7e9729362c266d12ec169966">ConstantLayer::ValidateTensorShapesFromInputs</a>()</div>
+<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;{</div>
+<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160; </div>
+<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    <span class="comment">// Get the output shape from the value of the constant layer.</span></div>
+<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> <span class="keyword">const</span>&amp; outShape = <a class="code" href="classarmnn_1_1_constant_layer.html#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a>-&gt;GetTensorInfo().GetShape();</div>
+<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160; </div>
+<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    ConditionalThrow&lt;LayerValidationException&gt;(</div>
+<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;            outShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>() != <a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">Dimensionality::NotSpecified</a>,</div>
+<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;            <span class="stringliteral">&quot;Constant layer m_LayerOutput output shape can not be Dimensionality::NotSpecified&quot;</span>);</div>
+<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160; </div>
+<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    ConditionalThrow&lt;LayerValidationException&gt;(</div>
+<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;            outShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>(),</div>
+<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;            <span class="stringliteral">&quot;Constant layer m_LayerOutput output shape can not have an unspecified dimension&quot;</span>);</div>
+<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160; </div>
+<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    ConditionalThrowIfNotEqual&lt;LayerValidationException&gt;(</div>
+<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;               <span class="stringliteral">&quot;ConstantLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.&quot;</span>,</div>
+<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;               <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetShape(),</div>
+<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;               outShape);</div>
+<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;}</div>
+<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160; </div>
+<div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="classarmnn_1_1_constant_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">   65</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_constant_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConstantLayer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>&amp; strategy)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="keyword"></span>{</div>
+<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedLayerOutput(<a class="code" href="classarmnn_1_1_constant_layer.html#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a>);</div>
+<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> layerOutputTensor(managedLayerOutput.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), managedLayerOutput.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>());</div>
+<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    strategy.<a class="code" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="structarmnn_1_1_base_descriptor.html">BaseDescriptor</a>(), { layerOutputTensor }, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
+<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;}</div>
+<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160; </div>
+<div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classarmnn_1_1_constant_layer.html#a2ca654770a1890f15e3c7aab98e434a5">   72</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_constant_layer.html#a2ca654770a1890f15e3c7aab98e434a5">ConstantLayer::SerializeLayerParameters</a>(<a class="code" href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a>&amp; fn)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="keyword"></span>{</div>
+<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    fn(<span class="stringliteral">&quot;DataType&quot;</span>,<a class="code" href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(<a class="code" href="classarmnn_1_1_constant_layer.html#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a>-&gt;GetTensorInfo().GetDataType()));</div>
+<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <a class="code" href="classarmnn_1_1_layer.html#ac04cd8de9b9185756eb02463ffd432b1">Layer::SerializeLayerParameters</a>(fn);</div>
+<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;}</div>
+<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;} <span class="comment">// namespace armnn</span></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<div class="ttc" id="aclassarmnn_1_1_constant_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_constant_layer.html#a65ca562c882ad619684445a1402f415a">armnn::ConstantLayer::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">By default returns inputShapes if the number of inputs are equal to number of outputs,...</div><div class="ttdef"><b>Definition:</b> <a href="_constant_layer_8cpp_source.html#l00040">ConstantLayer.cpp:40</a></div></div>
+<div class="ttc" id="a_workload_data_8hpp_html"><div class="ttname"><a href="_workload_data_8hpp.html">WorkloadData.hpp</a></div></div>
+<div class="ttc" id="a_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_constant_layer_html_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_constant_layer.html#a8c8f543d7e9729362c266d12ec169966">armnn::ConstantLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdoc">Check if the input tensor shape(s) will lead to a valid configuration of ConstantLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_constant_layer_8cpp_source.html#l00045">ConstantLayer.cpp:45</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a81b5ff8545adad19a1c9d4ca076d552c"><div class="ttname"><a href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">armnn::GetDataTypeName</a></div><div class="ttdeci">constexpr const char * GetDataTypeName(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00233">TypesUtils.hpp:233</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_acccb75bd1d68a81f6ddd61687f51c5a1"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#acccb75bd1d68a81f6ddd61687f51c5a1">armnn::TensorShape::AreAllDimensionsSpecified</a></div><div class="ttdeci">bool AreAllDimensionsSpecified() const</div><div class="ttdoc">Checks if there is at least one dimension not specified.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00241">Tensor.cpp:241</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00339">Layer.hpp:339</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_constant_layer_html_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_constant_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::ConstantLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &amp;strategy) const override</div><div class="ttdoc">Apply a visitor to this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_constant_layer_8cpp_source.html#l00065">ConstantLayer.cpp:65</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_constant_layer_html_a13352cef234015ec4a2233f58cc764ae"><div class="ttname"><a href="classarmnn_1_1_constant_layer.html#a13352cef234015ec4a2233f58cc764ae">armnn::ConstantLayer::ConstantLayer</a></div><div class="ttdeci">ConstantLayer(const char *name)</div><div class="ttdoc">Constructor to create a ConstantLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_constant_layer_8cpp_source.html#l00016">ConstantLayer.cpp:16</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_i_strategy_html"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.html#l00016">IStrategy.hpp:16</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html">armnn::ManagedConstTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00187">TensorHandle.hpp:187</a></div></div>
+<div class="ttc" id="a_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00332">Layer.hpp:332</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00230">Layer.hpp:230</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_constant_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_constant_queue_descriptor.html">armnn::ConstantQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00368">WorkloadData.hpp:368</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_ac04cd8de9b9185756eb02463ffd432b1"><div class="ttname"><a href="classarmnn_1_1_layer.html#ac04cd8de9b9185756eb02463ffd432b1">armnn::Layer::SerializeLayerParameters</a></div><div class="ttdeci">virtual void SerializeLayerParameters(ParameterStringifyFunction &amp;fn) const</div><div class="ttdoc">Helper to serialize the layer parameters to string.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00518">Layer.cpp:518</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer.html#a30a858b2b26d651a066537e499fbf40d">armnn::Layer::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_8hpp_source.html#l00409">Layer.hpp:409</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00022">WorkloadFactory.hpp:22</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a8c42c6647e31ebe525aeba878d133e45"><div class="ttname"><a href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">armnn::ParameterStringifyFunction</a></div><div class="ttdeci">std::function&lt; void(const std::string &amp;name, const std::string &amp;value)&gt; ParameterStringifyFunction</div><div class="ttdef"><b>Definition:</b> <a href="_serialize_layer_parameters_8hpp_source.html#l00014">SerializeLayerParameters.hpp:14</a></div></div>
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+<div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html_a85e02725184184331cc2e3b00642be47"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">armnn::ManagedConstTensorHandle::Map</a></div><div class="ttdeci">const void * Map(bool blocking=true)</div><div class="ttdoc">RAII Managed resource Unmaps MemoryArea once out of scope.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00196">TensorHandle.hpp:196</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00287">Layer.cpp:287</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc"><div class="ttname"><a href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a></div><div class="ttdeci">@ NotSpecified</div></div>
+<div class="ttc" id="astructarmnn_1_1_base_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.html">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00022">Descriptors.hpp:22</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_constant_queue_descriptor_html_acd77c51cdb162e2b541bc8b474290b7a"><div class="ttname"><a href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">armnn::ConstantQueueDescriptor::m_LayerOutput</a></div><div class="ttdeci">const ConstTensorHandle * m_LayerOutput</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00375">WorkloadData.hpp:375</a></div></div>
+<div class="ttc" id="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_constant_layer_html_a5340a3dbbc84afba95fe19d1c8b5fb04"><div class="ttname"><a href="classarmnn_1_1_constant_layer.html#a5340a3dbbc84afba95fe19d1c8b5fb04">armnn::ConstantLayer::Clone</a></div><div class="ttdeci">ConstantLayer * Clone(Graph &amp;graph) const override</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_constant_layer_8cpp_source.html#l00030">ConstantLayer.cpp:30</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_constant_layer_html_ad0c4b8ee0efd8f9336571cbeab8a53fe"><div class="ttname"><a href="classarmnn_1_1_constant_layer.html#ad0c4b8ee0efd8f9336571cbeab8a53fe">armnn::ConstantLayer::m_LayerOutput</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_LayerOutput</div><div class="ttdef"><b>Definition:</b> <a href="_constant_layer_8hpp_source.html#l00046">ConstantLayer.hpp:46</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_constant_layer_html_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_constant_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::ConstantLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateWorkload(const IWorkloadFactory &amp;factory) const override</div><div class="ttdoc">Makes a workload for the Constant type.</div><div class="ttdef"><b>Definition:</b> <a href="_constant_layer_8cpp_source.html#l00021">ConstantLayer.cpp:21</a></div></div>
+<div class="ttc" id="a_constant_layer_8hpp_html"><div class="ttname"><a href="_constant_layer_8hpp.html">ConstantLayer.hpp</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_constant_layer_html"><div class="ttname"><a href="classarmnn_1_1_constant_layer.html">armnn::ConstantLayer</a></div><div class="ttdoc">A layer that the constant data can be bound to.</div><div class="ttdef"><b>Definition:</b> <a href="_constant_layer_8hpp_source.html#l00015">ConstantLayer.hpp:15</a></div></div>
+<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00327">Tensor.hpp:327</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_constant_layer_html_a2ca654770a1890f15e3c7aab98e434a5"><div class="ttname"><a href="classarmnn_1_1_constant_layer.html#a2ca654770a1890f15e3c7aab98e434a5">armnn::ConstantLayer::SerializeLayerParameters</a></div><div class="ttdeci">void SerializeLayerParameters(ParameterStringifyFunction &amp;fn) const override</div><div class="ttdoc">Helper to serialize the layer parameters to string.</div><div class="ttdef"><b>Definition:</b> <a href="_constant_layer_8cpp_source.html#l00072">ConstantLayer.cpp:72</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a5a212540c00931bd2a4b4041beda33ae"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a5a212540c00931bd2a4b4041beda33ae">armnn::TensorShape::GetDimensionality</a></div><div class="ttdeci">Dimensionality GetDimensionality() const</div><div class="ttdoc">Function that returns the tensor type.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00491">Types.hpp:491</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00030">Graph.hpp:30</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html_a694a8411c8c799da95306034d274930b"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">armnn::IWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateWorkload(LayerType type, const QueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const =0</div><div class="ttdoc">Backends should implement their own CreateWorkload function with a switch statement.</div></div>
+<div class="ttc" id="aclassarmnn_1_1_i_strategy_html_ad4f8c9ff973cf6a603d26b56c5b34967"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">armnn::IStrategy::ExecuteStrategy</a></div><div class="ttdeci">virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &amp;descriptor, const std::vector&lt; armnn::ConstTensor &gt; &amp;constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div>
+<div class="ttc" id="anamespacearmnn_html_a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.html#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">armnn::PaddingMode::Constant</a></div><div class="ttdeci">@ Constant</div></div>
+<div class="ttc" id="a_layer_clone_base_8hpp_html"><div class="ttname"><a href="_layer_clone_base_8hpp.html">LayerCloneBase.hpp</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div>
+<div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">armnn::ManagedConstTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00239">TensorHandle.hpp:239</a></div></div>
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author	Nikhil Raj <nikhil.raj@arm.com>	2023-11-22 11:41:15 +0000
committer	Nikhil Raj <nikhil.raj@arm.com>	2023-11-22 11:41:15 +0000
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