diff options
Diffstat (limited to 'latest/classarmnn_1_1_elementwise_unary_layer.html')
| -rw-r--r-- | latest/classarmnn_1_1_elementwise_unary_layer.html | 79 |
1 files changed, 44 insertions, 35 deletions
diff --git a/latest/classarmnn_1_1_elementwise_unary_layer.html b/latest/classarmnn_1_1_elementwise_unary_layer.html index 76a39cb671..7b84a425a5 100644 --- a/latest/classarmnn_1_1_elementwise_unary_layer.html +++ b/latest/classarmnn_1_1_elementwise_unary_layer.html @@ -36,7 +36,7 @@ <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/> <td id="projectalign" style="padding-left: 0.9em;"> <div id="projectname"> -  <span id="projectnumber">24.02</span> +  <span id="projectnumber">24.05</span> </div> </td> </tr> @@ -520,10 +520,10 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a>.</p> -<p class="definition">Definition at line <a class="el" href="_elementwise_unary_layer_8cpp_source.html#l00058">58</a> of file <a class="el" href="_elementwise_unary_layer_8cpp_source.html">ElementwiseUnaryLayer.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> {</div> -<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  strategy.ExecuteStrategy(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), {}, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> -<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> }</div> +<p class="definition">Definition at line <a class="el" href="_elementwise_unary_layer_8cpp_source.html#l00069">69</a> of file <a class="el" href="_elementwise_unary_layer_8cpp_source.html">ElementwiseUnaryLayer.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> {</div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  strategy.ExecuteStrategy(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), {}, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> }</div> </div><!-- fragment --> <p class="reference">References <a class="el" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">IStrategy::ExecuteStrategy()</a>, <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters< ElementwiseUnaryDescriptor >::GetParameters()</a>.</p> @@ -567,15 +567,18 @@ Additional Inherited Members</h2></td></tr> <p class="definition">Definition at line <a class="el" href="_elementwise_unary_layer_8cpp_source.html#l00034">34</a> of file <a class="el" href="_elementwise_unary_layer_8cpp_source.html">ElementwiseUnaryLayer.cpp</a>.</p> <div class="fragment"><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div> <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="comment">// Should return the shape of the input tensor</span></div> -<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputShapes.size() == 1);</div> -<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">const</span> TensorShape& input = inputShapes[0];</div> -<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  </div> -<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">return</span> std::vector<TensorShape>({ input });</div> -<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> }</div> +<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">if</span> (inputShapes.size() != 1)</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"inputShapes' size is \""</span> + std::to_string(inputShapes.size()) +</div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="stringliteral">"\" - should be \"1\"."</span>);</div> +<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  }</div> +<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  </div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">const</span> TensorShape& input = inputShapes[0];</div> +<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  </div> +<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">return</span> std::vector<TensorShape>({ input });</div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>.</p> - -<p class="reference">Referenced by <a class="el" href="_elementwise_unary_layer_8cpp_source.html#l00043">ElementwiseUnaryLayer::ValidateTensorShapesFromInputs()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_elementwise_unary_layer_8cpp_source.html#l00048">ElementwiseUnaryLayer::ValidateTensorShapesFromInputs()</a>.</p> </div> </div> @@ -612,22 +615,28 @@ Additional Inherited Members</h2></td></tr> <p>Implements <a class="el" href="classarmnn_1_1_layer.html#a84ff600212ba26e665de9b978ec896a4">Layer</a>.</p> -<p class="definition">Definition at line <a class="el" href="_elementwise_unary_layer_8cpp_source.html#l00043">43</a> of file <a class="el" href="_elementwise_unary_layer_8cpp_source.html">ElementwiseUnaryLayer.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div> -<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(1, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</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>  <span class="keyword">const</span> TensorShape& outputShape = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> -<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  </div> -<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</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>  std::vector<TensorShape> inferredShapes = <a class="code" href="classarmnn_1_1_elementwise_unary_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>({</div> -<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()});</div> -<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes.size() == 1);</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>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <a class="code" href="namespacearmnn.html#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>()));</div> -<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> }</div> +<p class="definition">Definition at line <a class="el" href="_elementwise_unary_layer_8cpp_source.html#l00048">48</a> of file <a class="el" href="_elementwise_unary_layer_8cpp_source.html">ElementwiseUnaryLayer.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> {</div> +<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(1, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  </div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> TensorShape& outputShape = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  </div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  </div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  std::vector<TensorShape> inferredShapes = <a class="code" href="classarmnn_1_1_elementwise_unary_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>({</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()});</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>  <span class="keywordflow">if</span> (inferredShapes.size() != 1)</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"inferredShapes has "</span></div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  + std::to_string(inferredShapes.size()) +</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="stringliteral">" elements - should only have 1."</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"> 65</span>  </div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <a class="code" href="namespacearmnn.html#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>()));</div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_internal_types_8cpp_source.html#l00013">armnn::GetLayerTypeAsCString()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00592">InputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00092">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8hpp_source.html#l00286">Layer::GetType()</a>, <a class="el" href="_elementwise_unary_layer_8cpp_source.html#l00034">ElementwiseUnaryLayer::InferOutputShapes()</a>, <a class="el" href="_layer_8hpp_source.html#l00441">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="_layer_8cpp_source.html#l00435">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00391">Layer::VerifyLayerConnections()</a>, and <a class="el" href="_layer_8cpp_source.html#l00504">Layer::VerifyShapeInferenceType()</a>.</p> +<p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_internal_types_8cpp_source.html#l00013">armnn::GetLayerTypeAsCString()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00614">InputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00100">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8hpp_source.html#l00286">Layer::GetType()</a>, <a class="el" href="_elementwise_unary_layer_8cpp_source.html#l00034">ElementwiseUnaryLayer::InferOutputShapes()</a>, <a class="el" href="_layer_8hpp_source.html#l00441">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="_layer_8cpp_source.html#l00457">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00410">Layer::VerifyLayerConnections()</a>, and <a class="el" href="_layer_8cpp_source.html#l00526">Layer::VerifyShapeInferenceType()</a>.</p> </div> </div> @@ -637,23 +646,23 @@ Additional Inherited Members</h2></td></tr> </ul> </div><!-- contents --> </div><!-- doc-content --> -<div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div> <div class="ttc" id="anamespacearmnn_html_addb6b14dd1b632263ffe77430259a7c4"><div class="ttname"><a href="namespacearmnn.html#addb6b14dd1b632263ffe77430259a7c4">armnn::GetLayerTypeAsCString</a></div><div class="ttdeci">const char * GetLayerTypeAsCString(LayerType type)</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8cpp_source.html#l00013">InternalTypes.cpp:13</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00092">Layer.cpp:92</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00100">Layer.cpp:100</a></div></div> <div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00435">Layer.cpp:435</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00457">Layer.cpp:457</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 & 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="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::LayerType::ElementwiseUnary</a></div><div class="ttdeci">@ ElementwiseUnary</div></div> <div class="ttc" id="aclassarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & 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.html#l00337">Layer.hpp:337</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters< ElementwiseUnaryDescriptor >::GetParameters</a></div><div class="ttdeci">const ElementwiseUnaryDescriptor & GetParameters() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters.hpp:19</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_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00592">Layer.cpp:592</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00614">Layer.cpp:614</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters< ElementwiseUnaryDescriptor >::m_Param</a></div><div class="ttdeci">ElementwiseUnaryDescriptor 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.html#l00052">LayerWithParameters.hpp:52</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters< ElementwiseUnaryDescriptor >::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &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.html#l00044">LayerWithParameters.hpp:44</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00504">Layer.cpp:504</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00526">Layer.cpp:526</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those.</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_html_ad8e15c530c929ab823d89ae9fd2d3f11"><div class="ttname"><a href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const override</div><div class="ttdoc">Returns the armnn::LayerType of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00286">Layer.hpp:286</a></div></div> <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00193">Tensor.hpp:193</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00391">Layer.cpp:391</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00410">Layer.cpp:410</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a1f5a1d629b1ef52a0d8e0214a0fb51a1"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a1f5a1d629b1ef52a0d8e0214a0fb51a1">armnn::LayerWithParameters< ElementwiseUnaryDescriptor >::LayerWithParameters</a></div><div class="ttdeci">LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const ElementwiseUnaryDescriptor &param, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00030">LayerWithParameters.hpp:30</a></div></div> <div class="ttc" id="aclassarmnn_1_1_elementwise_unary_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_elementwise_unary_layer.html#a65ca562c882ad619684445a1402f415a">armnn::ElementwiseUnaryLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdoc">Returns inputShapes by default.</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_unary_layer_8cpp_source.html#l00034">ElementwiseUnaryLayer.cpp:34</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_html_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00441">Layer.hpp:441</a></div></div> @@ -661,7 +670,7 @@ Additional Inherited Members</h2></td></tr> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="namespacearmnn.html">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_elementwise_unary_layer.html">ElementwiseUnaryLayer</a></li> - <li class="footer">Generated on Wed Feb 14 2024 16:36:22 for Arm NN by + <li class="footer">Generated on Thu May 16 2024 09:31:56 for Arm NN by <a href="http://www.doxygen.org/index.html"> <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li> </ul> |