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<div class="title">ConstantLayer.cpp</div> </div>
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<a href="_constant_layer_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#include "<a class="code" href="_constant_layer_8hpp.xhtml">ConstantLayer.hpp</a>"</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_layer_clone_base_8hpp.xhtml">LayerCloneBase.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_types_utils_8hpp.xhtml">armnn/TypesUtils.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_cpu_tensor_handle_8hpp.xhtml">backendsCommon/CpuTensorHandle.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.xhtml">backendsCommon/WorkloadData.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_8hpp.xhtml">backendsCommon/WorkloadFactory.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> {</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="classarmnn_1_1_constant_layer.xhtml#a13352cef234015ec4a2233f58cc764ae"> 16</a></span> <a class="code" href="classarmnn_1_1_constant_layer.xhtml#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>  : <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>(0, 1, <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>::<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">Constant</a>, name)</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> }</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="classarmnn_1_1_constant_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7"> 21</a></span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_constant_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">ConstantLayer::CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a>& factory)<span class="keyword"> const</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword"></span>{</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml">ConstantQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  descriptor.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a> = <a class="code" href="classarmnn_1_1_constant_layer.xhtml#a67ccc257eeefce0964c1cafc4b255c9f">m_LayerOutput</a>.get();</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">return</span> factory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a963bd7acce29a83d96daeb2cea34f2f7">CreateConstant</a>(descriptor, <a class="code" href="classarmnn_1_1_layer.xhtml#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> }</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="classarmnn_1_1_constant_layer.xhtml#a5340a3dbbc84afba95fe19d1c8b5fb04"> 30</a></span> <a class="code" href="classarmnn_1_1_constant_layer.xhtml">ConstantLayer</a>* <a class="code" href="classarmnn_1_1_constant_layer.xhtml#a5340a3dbbc84afba95fe19d1c8b5fb04">ConstantLayer::Clone</a>(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& graph)<span class="keyword"> const</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword"></span>{</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <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>  <span class="keyword">auto</span> layer = CloneBase<ConstantLayer>(graph, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  layer-><a class="code" href="classarmnn_1_1_constant_layer.xhtml#a67ccc257eeefce0964c1cafc4b255c9f">m_LayerOutput</a> = <a class="code" href="classarmnn_1_1_constant_layer.xhtml#a67ccc257eeefce0964c1cafc4b255c9f">m_LayerOutput</a> ? std::make_unique<ScopedCpuTensorHandle>(*m_LayerOutput) : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">return</span> std::move(layer);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> }</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="classarmnn_1_1_constant_layer.xhtml#a65ca562c882ad619684445a1402f415a"> 40</a></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_constant_layer.xhtml#a65ca562c882ad619684445a1402f415a">ConstantLayer::InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes)<span class="keyword"> const</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword"></span>{</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">return</span> std::vector<TensorShape>({ inputShapes[0] });</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> }</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarmnn_1_1_constant_layer.xhtml#a8c8f543d7e9729362c266d12ec169966"> 45</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_constant_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ConstantLayer::ValidateTensorShapesFromInputs</a>()</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <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>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> <span class="keyword">const</span>& outShape = <a class="code" href="classarmnn_1_1_constant_layer.xhtml#a67ccc257eeefce0964c1cafc4b255c9f">m_LayerOutput</a>->GetTensorInfo().GetShape();</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  ConditionalThrow<LayerValidationException>(</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  outShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>() != <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">Dimensionality::NotSpecified</a>,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="stringliteral">"Constant layer m_LayerOutput output shape can not be Dimensionality::NotSpecified"</span>);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  ConditionalThrow<LayerValidationException>(</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  outShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>(),</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="stringliteral">"Constant layer m_LayerOutput output shape can not have an unspecified dimension"</span>);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  ConditionalThrowIfNotEqual<LayerValidationException>(</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="stringliteral">"ConstantLayer: TensorShape set on OutputSlot[0] does not match the inferred shape."</span>,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <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="l00062"></a><span class="lineno"> 62</span>  outShape);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> }</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="classarmnn_1_1_constant_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85"> 65</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_constant_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ConstantLayer::Accept</a>(<a class="code" href="classarmnn_1_1_i_layer_visitor.xhtml">ILayerVisitor</a>& visitor)<span class="keyword"> const</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="keyword"></span>{</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> layerOutputTensor(<a class="code" href="classarmnn_1_1_constant_layer.xhtml#a67ccc257eeefce0964c1cafc4b255c9f">m_LayerOutput</a>->GetTensorInfo(), <a class="code" href="classarmnn_1_1_constant_layer.xhtml#a67ccc257eeefce0964c1cafc4b255c9f">m_LayerOutput</a>->Map(<span class="keyword">true</span>)) ;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  visitor.<a class="code" href="classarmnn_1_1_i_layer_visitor.xhtml#a2f123a6a99ac143c0f3806cb505765cd">VisitConstantLayer</a>(<span class="keyword">this</span>, layerOutputTensor, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> }</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="classarmnn_1_1_constant_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc"> 71</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_constant_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConstantLayer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a>& strategy)<span class="keyword"> const</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="keyword"></span>{</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  std::vector<armnn::ConstTensor> constTensors { {<a class="code" href="classarmnn_1_1_constant_layer.xhtml#a67ccc257eeefce0964c1cafc4b255c9f">m_LayerOutput</a>->GetTensorInfo(), <a class="code" href="classarmnn_1_1_constant_layer.xhtml#a67ccc257eeefce0964c1cafc4b255c9f">m_LayerOutput</a>->Map(<span class="keyword">true</span>)} };</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  strategy.<a class="code" href="classarmnn_1_1_i_strategy.xhtml#aad5bb4d8050fd428ff03ae6d81e3014c">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(), constTensors, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> }</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_constant_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_constant_layer.xhtml">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.xhtml#l00015">ConstantLayer.hpp:15</a></div></div>
<div class="ttc" id="classarmnn_1_1_constant_layer_xhtml_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_constant_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::ConstantLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &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.xhtml#l00021">ConstantLayer.cpp:21</a></div></div>
<div class="ttc" id="_workload_data_8hpp_xhtml"><div class="ttname"><a href="_workload_data_8hpp.xhtml">WorkloadData.hpp</a></div></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 & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a></div></div>
<div class="ttc" id="structarmnn_1_1_constant_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_constant_queue_descriptor.xhtml">armnn::ConstantQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00355">WorkloadData.hpp:355</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_acccb75bd1d68a81f6ddd61687f51c5a1"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#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.xhtml#l00241">Tensor.cpp:241</a></div></div>
<div class="ttc" id="_workload_factory_8hpp_xhtml"><div class="ttname"><a href="_workload_factory_8hpp.xhtml">WorkloadFactory.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00022">WorkloadFactory.hpp:22</a></div></div>
<div class="ttc" id="classarmnn_1_1_constant_layer_xhtml_a75a50f464326fefa605ea84ae2c9be85"><div class="ttname"><a href="classarmnn_1_1_constant_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">armnn::ConstantLayer::Accept</a></div><div class="ttdeci">void Accept(ILayerVisitor &visitor) 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.xhtml#l00065">ConstantLayer.cpp:65</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a5a212540c00931bd2a4b4041beda33ae"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#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.xhtml#l00092">Tensor.hpp:92</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_strategy_xhtml_aad5bb4d8050fd428ff03ae6d81e3014c"><div class="ttname"><a href="classarmnn_1_1_i_strategy.xhtml#aad5bb4d8050fd428ff03ae6d81e3014c">armnn::IStrategy::ExecuteStrategy</a></div><div class="ttdeci">virtual void ExecuteStrategy(const armnn::IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div>
<div class="ttc" id="classarmnn_1_1_constant_layer_xhtml_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_constant_layer.xhtml#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.xhtml#l00045">ConstantLayer.cpp:45</a></div></div>
<div class="ttc" id="structarmnn_1_1_constant_queue_descriptor_xhtml_ade37258f293ac919eac5f1af1de5ac82"><div class="ttname"><a href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">armnn::ConstantQueueDescriptor::m_LayerOutput</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_LayerOutput</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00362">WorkloadData.hpp:362</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a963bd7acce29a83d96daeb2cea34f2f7"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a963bd7acce29a83d96daeb2cea34f2f7">armnn::IWorkloadFactory::CreateConstant</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateConstant(const ConstantQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01338">WorkloadFactory.cpp:1338</a></div></div>
<div class="ttc" id="classarmnn_1_1_constant_layer_xhtml_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_constant_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::ConstantLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &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.xhtml#l00071">ConstantLayer.cpp:71</a></div></div>
<div class="ttc" id="classarmnn_1_1_constant_layer_xhtml_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_constant_layer.xhtml#a65ca562c882ad619684445a1402f415a">armnn::ConstantLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdoc">By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties. </div><div class="ttdef"><b>Definition:</b> <a href="_constant_layer_8cpp_source.xhtml#l00040">ConstantLayer.cpp:40</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="_constant_layer_8hpp_xhtml"><div class="ttname"><a href="_constant_layer_8hpp.xhtml">ConstantLayer.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_base_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00022">Descriptors.hpp:22</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_strategy_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_strategy.xhtml">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.xhtml#l00013">IStrategy.hpp:13</a></div></div>
<div class="ttc" id="classarmnn_1_1_constant_layer_xhtml_a67ccc257eeefce0964c1cafc4b255c9f"><div class="ttname"><a href="classarmnn_1_1_constant_layer.xhtml#a67ccc257eeefce0964c1cafc4b255c9f">armnn::ConstantLayer::m_LayerOutput</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_LayerOutput</div><div class="ttdef"><b>Definition:</b> <a href="_constant_layer_8hpp_source.xhtml#l00046">ConstantLayer.hpp:46</a></div></div>
<div class="ttc" id="_types_utils_8hpp_xhtml"><div class="ttname"><a href="_types_utils_8hpp.xhtml">TypesUtils.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a30a858b2b26d651a066537e499fbf40d">armnn::Layer::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *LayerCreateWorkload. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00381">Layer.hpp:381</a></div></div>
<div class="ttc" id="classarmnn_1_1_constant_layer_xhtml_a5340a3dbbc84afba95fe19d1c8b5fb04"><div class="ttname"><a href="classarmnn_1_1_constant_layer.xhtml#a5340a3dbbc84afba95fe19d1c8b5fb04">armnn::ConstantLayer::Clone</a></div><div class="ttdeci">ConstantLayer * Clone(Graph &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.xhtml#l00030">ConstantLayer.cpp:30</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_layer_visitor_xhtml_a2f123a6a99ac143c0f3806cb505765cd"><div class="ttname"><a href="classarmnn_1_1_i_layer_visitor.xhtml#a2f123a6a99ac143c0f3806cb505765cd">armnn::ILayerVisitor::VisitConstantLayer</a></div><div class="ttdeci">virtual void VisitConstantLayer(const IConnectableLayer *layer, const ConstTensor &input, const char *name=nullptr)=0</div><div class="ttdoc">Function a layer with no inputs and a single output, which always corresponds to the passed in consta...</div></div>
<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">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.xhtml#l00314">Tensor.hpp:314</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00029">Graph.hpp:29</a></div></div>
<div class="ttc" id="_cpu_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.xhtml">CpuTensorHandle.hpp</a></div></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 &descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00245">Layer.cpp:245</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div></div>
<div class="ttc" id="classarmnn_1_1_constant_layer_xhtml_a13352cef234015ec4a2233f58cc764ae"><div class="ttname"><a href="classarmnn_1_1_constant_layer.xhtml#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.xhtml#l00016">ConstantLayer.cpp:16</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_layer_visitor_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_layer_visitor.xhtml">armnn::ILayerVisitor</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_visitor_8hpp_source.xhtml#l00016">ILayerVisitor.hpp:16</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 & 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#l00318">Layer.hpp:318</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#l00311">Layer.hpp:311</a></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 & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00063">Layer.cpp:63</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00210">Layer.hpp:210</a></div></div>
<div class="ttc" id="_layer_clone_base_8hpp_xhtml"><div class="ttname"><a href="_layer_clone_base_8hpp.xhtml">LayerCloneBase.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#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.xhtml#l00419">Types.hpp:419</a></div></div>
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