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| 93 | |
| 94 | <div class="header"> |
| 95 | <div class="summary"> |
| 96 | <a href="#pub-methods">Public Member Functions</a> | |
| 97 | <a href="#pro-methods">Protected Member Functions</a> | |
| 98 | <a href="classarmnn_1_1_depthwise_convolution2d_layer-members.html">List of all members</a> </div> |
| 99 | <div class="headertitle"> |
| 100 | <div class="title">DepthwiseConvolution2dLayer Class Reference</div> </div> |
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| 102 | <div class="contents"> |
| 103 | |
| 104 | <p>This layer represents a depthwise convolution 2d operation. |
| 105 | <a href="classarmnn_1_1_depthwise_convolution2d_layer.html#details">More...</a></p> |
| 106 | |
| 107 | <p><code>#include <<a class="el" href="_depthwise_convolution2d_layer_8hpp_source.html">DepthwiseConvolution2dLayer.hpp</a>></code></p> |
| 108 | <div class="dynheader"> |
| 109 | Inheritance diagram for DepthwiseConvolution2dLayer:</div> |
| 110 | <div class="dyncontent"> |
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| 112 | </div> |
| 113 | <center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div> |
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| 115 | Collaboration diagram for DepthwiseConvolution2dLayer:</div> |
| 116 | <div class="dyncontent"> |
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| 118 | </div> |
| 119 | <center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div> |
| 120 | <table class="memberdecls"> |
| 121 | <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| 122 | Public Member Functions</h2></td></tr> |
| 123 | <tr class="memitem:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">CreateWorkload</a> (const <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a> &factory) const override</td></tr> |
| 124 | <tr class="memdesc:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="mdescLeft"> </td><td class="mdescRight">Makes a workload for the DepthwiseConvolution2d type. <a href="classarmnn_1_1_depthwise_convolution2d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">More...</a><br /></td></tr> |
| 125 | <tr class="separator:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="memSeparator" colspan="2"> </td></tr> |
| 126 | <tr class="memitem:a6f56b4ee567a69e7daf2e9bd3053646c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html">DepthwiseConvolution2dLayer</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a6f56b4ee567a69e7daf2e9bd3053646c">Clone</a> (<a class="el" href="classarmnn_1_1_graph.html">Graph</a> &graph) const override</td></tr> |
| 127 | <tr class="memdesc:a6f56b4ee567a69e7daf2e9bd3053646c"><td class="mdescLeft"> </td><td class="mdescRight">Creates a dynamically-allocated copy of this layer. <a href="classarmnn_1_1_depthwise_convolution2d_layer.html#a6f56b4ee567a69e7daf2e9bd3053646c">More...</a><br /></td></tr> |
| 128 | <tr class="separator:a6f56b4ee567a69e7daf2e9bd3053646c"><td class="memSeparator" colspan="2"> </td></tr> |
| 129 | <tr class="memitem:a8c8f543d7e9729362c266d12ec169966"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a8c8f543d7e9729362c266d12ec169966">ValidateTensorShapesFromInputs</a> () override</td></tr> |
| 130 | <tr class="memdesc:a8c8f543d7e9729362c266d12ec169966"><td class="mdescLeft"> </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_depthwise_convolution2d_layer.html">DepthwiseConvolution2dLayer</a>. <a href="classarmnn_1_1_depthwise_convolution2d_layer.html#a8c8f543d7e9729362c266d12ec169966">More...</a><br /></td></tr> |
| 131 | <tr class="separator:a8c8f543d7e9729362c266d12ec169966"><td class="memSeparator" colspan="2"> </td></tr> |
| 132 | <tr class="memitem:a65ca562c882ad619684445a1402f415a"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a> (const std::vector< <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> > &inputShapes) const override</td></tr> |
| 133 | <tr class="memdesc:a65ca562c882ad619684445a1402f415a"><td class="mdescLeft"> </td><td class="mdescRight">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. <a href="classarmnn_1_1_depthwise_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">More...</a><br /></td></tr> |
| 134 | <tr class="separator:a65ca562c882ad619684445a1402f415a"><td class="memSeparator" colspan="2"> </td></tr> |
| 135 | <tr class="memitem:a46fc3fdd4b2a5dd6d184e57983cf20bc"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ExecuteStrategy</a> (<a class="el" href="classarmnn_1_1_i_strategy.html">IStrategy</a> &strategy) const override</td></tr> |
| 136 | <tr class="memdesc:a46fc3fdd4b2a5dd6d184e57983cf20bc"><td class="mdescLeft"> </td><td class="mdescRight">Apply a visitor to this layer. <a href="classarmnn_1_1_depthwise_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">More...</a><br /></td></tr> |
| 137 | <tr class="separator:a46fc3fdd4b2a5dd6d184e57983cf20bc"><td class="memSeparator" colspan="2"> </td></tr> |
| 138 | <tr class="memitem:a2ca654770a1890f15e3c7aab98e434a5"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a2ca654770a1890f15e3c7aab98e434a5">SerializeLayerParameters</a> (<a class="el" href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a> &fn) const override</td></tr> |
| 139 | <tr class="memdesc:a2ca654770a1890f15e3c7aab98e434a5"><td class="mdescLeft"> </td><td class="mdescRight">Helper to serialize the layer parameters to string. <a href="classarmnn_1_1_depthwise_convolution2d_layer.html#a2ca654770a1890f15e3c7aab98e434a5">More...</a><br /></td></tr> |
| 140 | <tr class="separator:a2ca654770a1890f15e3c7aab98e434a5"><td class="memSeparator" colspan="2"> </td></tr> |
| 141 | <tr class="memitem:a49a08bdbd40e6913a9a3e1418aa1f43a"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a49a08bdbd40e6913a9a3e1418aa1f43a">ReleaseConstantData</a> () override</td></tr> |
| 142 | <tr class="memdesc:a49a08bdbd40e6913a9a3e1418aa1f43a"><td class="mdescLeft"> </td><td class="mdescRight">This layer does not have any data stored, weights and bias are now stored in constant layers. <a href="classarmnn_1_1_depthwise_convolution2d_layer.html#a49a08bdbd40e6913a9a3e1418aa1f43a">More...</a><br /></td></tr> |
| 143 | <tr class="separator:a49a08bdbd40e6913a9a3e1418aa1f43a"><td class="memSeparator" colspan="2"> </td></tr> |
| 144 | <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="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters< DepthwiseConvolution2dDescriptor ></a></td></tr> |
| 145 | <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="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a> () const override</td></tr> |
| 146 | <tr class="memdesc:afa3e8a8f23589b1eaddbe203825bbdcf inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="mdescLeft"> </td><td class="mdescRight">If the layer has a descriptor return it. <a href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">More...</a><br /></td></tr> |
| 147 | <tr class="separator:afa3e8a8f23589b1eaddbe203825bbdcf inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| 148 | <tr class="memitem:a2ca654770a1890f15e3c7aab98e434a5 inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">SerializeLayerParameters</a> (<a class="el" href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a> &fn) const override</td></tr> |
| 149 | <tr class="memdesc:a2ca654770a1890f15e3c7aab98e434a5 inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="mdescLeft"> </td><td class="mdescRight">Helper to serialize the layer parameters to string (currently used in DotSerializer and company). <a href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">More...</a><br /></td></tr> |
| 150 | <tr class="separator:a2ca654770a1890f15e3c7aab98e434a5 inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| 151 | <tr class="inherit_header pub_methods_classarmnn_1_1_layer"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_layer')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_layer.html">Layer</a></td></tr> |
| 152 | <tr class="memitem:a5e5ae420d199a0bccae5139d38c30205 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a5e5ae420d199a0bccae5139d38c30205">Layer</a> (unsigned int numInputSlots, unsigned int numOutputSlots, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, const char *name)</td></tr> |
| 153 | <tr class="separator:a5e5ae420d199a0bccae5139d38c30205 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 154 | <tr class="memitem:a395d070748c18d903705799360088e80 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a395d070748c18d903705799360088e80">Layer</a> (unsigned int numInputSlots, unsigned int numOutputSlots, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> layout, const char *name)</td></tr> |
| 155 | <tr class="separator:a395d070748c18d903705799360088e80 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 156 | <tr class="memitem:a9a97cb6d32661a57fc33bd29b8e41ff4 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const std::string & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a> () const</td></tr> |
| 157 | <tr class="separator:a9a97cb6d32661a57fc33bd29b8e41ff4 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 158 | <tr class="memitem:af2c0edc7ea62a8baaec4d3d9b2b09256 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_output_handler.html">OutputHandler</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a> (unsigned int i=0) const</td></tr> |
| 159 | <tr class="separator:af2c0edc7ea62a8baaec4d3d9b2b09256 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 160 | <tr class="memitem:a1d4e05c17647232c514cfe58ca80744a inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_output_handler.html">OutputHandler</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a1d4e05c17647232c514cfe58ca80744a">GetOutputHandler</a> (unsigned int i=0)</td></tr> |
| 161 | <tr class="separator:a1d4e05c17647232c514cfe58ca80744a inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 162 | <tr class="memitem:a3560e0733f829e5194887d014a133144 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a3560e0733f829e5194887d014a133144">GetShapeInferenceMethod</a> () const</td></tr> |
| 163 | <tr class="separator:a3560e0733f829e5194887d014a133144 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 164 | <tr class="memitem:ad6f282c92535e2be398a9b350d4e2ee9 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#ad6f282c92535e2be398a9b350d4e2ee9">GetAllowExpandedDims</a> () const</td></tr> |
| 165 | <tr class="separator:ad6f282c92535e2be398a9b350d4e2ee9 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 166 | <tr class="memitem:af5f530544d09a44d726f24702b67b35b inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const std::vector< <a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a> > & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a> () const</td></tr> |
| 167 | <tr class="separator:af5f530544d09a44d726f24702b67b35b inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 168 | <tr class="memitem:a98cdff4e0b45f4c80bfcedaf926e16e0 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const std::vector< <a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a> > & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a98cdff4e0b45f4c80bfcedaf926e16e0">GetOutputSlots</a> () const</td></tr> |
| 169 | <tr class="separator:a98cdff4e0b45f4c80bfcedaf926e16e0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 170 | <tr class="memitem:af6cb8de21ef0da269ec9b67755ae92a0 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a> >::iterator </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#af6cb8de21ef0da269ec9b67755ae92a0">BeginInputSlots</a> ()</td></tr> |
| 171 | <tr class="separator:af6cb8de21ef0da269ec9b67755ae92a0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 172 | <tr class="memitem:a9752e12d6b79e18da1a25f76159d2a72 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a> >::iterator </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a9752e12d6b79e18da1a25f76159d2a72">EndInputSlots</a> ()</td></tr> |
| 173 | <tr class="separator:a9752e12d6b79e18da1a25f76159d2a72 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 174 | <tr class="memitem:a817d4be6dd88f532d36f51748ec14185 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a> >::iterator </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a817d4be6dd88f532d36f51748ec14185">BeginOutputSlots</a> ()</td></tr> |
| 175 | <tr class="separator:a817d4be6dd88f532d36f51748ec14185 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 176 | <tr class="memitem:a55f76d98fcd2f5cdac3e2b14536cb7ab inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a> >::iterator </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a55f76d98fcd2f5cdac3e2b14536cb7ab">EndOutputSlots</a> ()</td></tr> |
| 177 | <tr class="separator:a55f76d98fcd2f5cdac3e2b14536cb7ab inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 178 | <tr class="memitem:a22485f444124128940e798a42f0b76d9 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a22485f444124128940e798a42f0b76d9">IsOutputUnconnected</a> ()</td></tr> |
| 179 | <tr class="separator:a22485f444124128940e798a42f0b76d9 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 180 | <tr class="memitem:aac329cade047e952621b59a51a5d5f49 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#aac329cade047e952621b59a51a5d5f49">ResetPriority</a> () const</td></tr> |
| 181 | <tr class="separator:aac329cade047e952621b59a51a5d5f49 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 182 | <tr class="memitem:af97a07195a67a638605b3c325763c2dd inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#af97a07195a67a638605b3c325763c2dd">GetPriority</a> () const</td></tr> |
| 183 | <tr class="separator:af97a07195a67a638605b3c325763c2dd inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 184 | <tr class="memitem:ad8e15c530c929ab823d89ae9fd2d3f11 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a> () const override</td></tr> |
| 185 | <tr class="memdesc:ad8e15c530c929ab823d89ae9fd2d3f11 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft"> </td><td class="mdescRight">Returns the <a class="el" href="namespacearmnn.html#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.html#ad8e15c530c929ab823d89ae9fd2d3f11">More...</a><br /></td></tr> |
| 186 | <tr class="separator:ad8e15c530c929ab823d89ae9fd2d3f11 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 187 | <tr class="memitem:aea909c7327109228ef618d459015def3 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#aea909c7327109228ef618d459015def3">GetDataType</a> () const</td></tr> |
| 188 | <tr class="separator:aea909c7327109228ef618d459015def3 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 189 | <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.html">BackendId</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a> () const</td></tr> |
| 190 | <tr class="separator:afdb1d37740e7a083b625d669588b6a0e inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 191 | <tr class="memitem:a316670cb6b65902e017c32ca4bcb4b98 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a> (const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> &id) override</td></tr> |
| 192 | <tr class="memdesc:a316670cb6b65902e017c32ca4bcb4b98 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft"> </td><td class="mdescRight">Set the backend of the <a class="el" href="classarmnn_1_1_i_connectable_layer.html" title="Interface for a layer that is connectable to other layers via InputSlots and OutputSlots.">IConnectableLayer</a>. <a href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">More...</a><br /></td></tr> |
| 193 | <tr class="separator:a316670cb6b65902e017c32ca4bcb4b98 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 194 | <tr class="memitem:a3ff62126ec713a2708e5fbaa6146a7de inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a3ff62126ec713a2708e5fbaa6146a7de">CreateTensorHandles</a> (const <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &registry, const <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a> &factory, const bool IsMemoryManaged=true)</td></tr> |
| 195 | <tr class="separator:a3ff62126ec713a2708e5fbaa6146a7de inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 196 | <tr class="memitem:a0607e36e88f38c34c71c663164b76776 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a> (unsigned int expectedConnections, const <a class="el" href="structarmnn_1_1_check_location.html">CheckLocation</a> &location) const</td></tr> |
| 197 | <tr class="separator:a0607e36e88f38c34c71c663164b76776 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 198 | <tr class="memitem:a386acff5f8430245239ce58d00ba7576 inherit pub_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template<typename Op > </td></tr> |
| 199 | <tr class="memitem:a386acff5f8430245239ce58d00ba7576 inherit pub_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a386acff5f8430245239ce58d00ba7576">OperateOnConstantTensors</a> (Op op)</td></tr> |
| 200 | <tr class="separator:a386acff5f8430245239ce58d00ba7576 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 201 | <tr class="memitem:a7ddf0cf6f620d59c10e63495ace795d0 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const char * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a> () const override</td></tr> |
| 202 | <tr class="memdesc:a7ddf0cf6f620d59c10e63495ace795d0 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft"> </td><td class="mdescRight">Returns the name of the layer. <a href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">More...</a><br /></td></tr> |
| 203 | <tr class="separator:a7ddf0cf6f620d59c10e63495ace795d0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 204 | <tr class="memitem:abc0660dc440c8a285b456c9ef6383c26 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a> () const override</td></tr> |
| 205 | <tr class="memdesc:abc0660dc440c8a285b456c9ef6383c26 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of connectable input slots. <a href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">More...</a><br /></td></tr> |
| 206 | <tr class="separator:abc0660dc440c8a285b456c9ef6383c26 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 207 | <tr class="memitem:a1594bddc87d6477df300317658f566bb inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a> () const override</td></tr> |
| 208 | <tr class="memdesc:a1594bddc87d6477df300317658f566bb inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of connectable output slots. <a href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">More...</a><br /></td></tr> |
| 209 | <tr class="separator:a1594bddc87d6477df300317658f566bb inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 210 | <tr class="memitem:acf8b8e23bf647836592982f97088d375 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a> (unsigned int index) const override</td></tr> |
| 211 | <tr class="memdesc:acf8b8e23bf647836592982f97088d375 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft"> </td><td class="mdescRight">Get a const input slot handle by slot index. <a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">More...</a><br /></td></tr> |
| 212 | <tr class="separator:acf8b8e23bf647836592982f97088d375 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 213 | <tr class="memitem:a1b50eb1358cdf382f4bc3fc8849f8e8e inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a1b50eb1358cdf382f4bc3fc8849f8e8e">GetInputSlot</a> (unsigned int index) override</td></tr> |
| 214 | <tr class="memdesc:a1b50eb1358cdf382f4bc3fc8849f8e8e inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft"> </td><td class="mdescRight">Get the input slot handle by slot index. <a href="classarmnn_1_1_layer.html#a1b50eb1358cdf382f4bc3fc8849f8e8e">More...</a><br /></td></tr> |
| 215 | <tr class="separator:a1b50eb1358cdf382f4bc3fc8849f8e8e inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 216 | <tr class="memitem:a0e36688a43c35668d8db5257274c68fe inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a> (unsigned int index=0) const override</td></tr> |
| 217 | <tr class="memdesc:a0e36688a43c35668d8db5257274c68fe inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft"> </td><td class="mdescRight">Get the const output slot handle by slot index. <a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">More...</a><br /></td></tr> |
| 218 | <tr class="separator:a0e36688a43c35668d8db5257274c68fe inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 219 | <tr class="memitem:abbd71844785bb2f00a81baca30ea5ff0 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#abbd71844785bb2f00a81baca30ea5ff0">GetOutputSlot</a> (unsigned int index=0) override</td></tr> |
| 220 | <tr class="memdesc:abbd71844785bb2f00a81baca30ea5ff0 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft"> </td><td class="mdescRight">Get the output slot handle by slot index. <a href="classarmnn_1_1_layer.html#abbd71844785bb2f00a81baca30ea5ff0">More...</a><br /></td></tr> |
| 221 | <tr class="separator:abbd71844785bb2f00a81baca30ea5ff0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 222 | <tr class="memitem:a6d1024208b672a87ef2c1bfaf93d2b9f inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a6d1024208b672a87ef2c1bfaf93d2b9f">SetGuid</a> (<a class="el" href="_types_8hpp.html#af22094b802160f09f7c89ad9eee10084">LayerGuid</a> guid)</td></tr> |
| 223 | <tr class="separator:a6d1024208b672a87ef2c1bfaf93d2b9f inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 224 | <tr class="memitem:a8dc12f0ee5b232d397bd18ced1a72a64 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="_types_8hpp.html#af22094b802160f09f7c89ad9eee10084">LayerGuid</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a> () const final</td></tr> |
| 225 | <tr class="memdesc:a8dc12f0ee5b232d397bd18ced1a72a64 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft"> </td><td class="mdescRight">Returns the unique id of the layer. <a href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">More...</a><br /></td></tr> |
| 226 | <tr class="separator:a8dc12f0ee5b232d397bd18ced1a72a64 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 227 | <tr class="memitem:a339248d89d5e21534ecf74b4393ed4d2 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a339248d89d5e21534ecf74b4393ed4d2">AddRelatedLayerName</a> (const std::string layerName)</td></tr> |
| 228 | <tr class="separator:a339248d89d5e21534ecf74b4393ed4d2 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 229 | <tr class="memitem:a5e5520194ea4042fe07b0bf53c28f634 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const std::list< std::string > & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a5e5520194ea4042fe07b0bf53c28f634">GetRelatedLayerNames</a> ()</td></tr> |
| 230 | <tr class="separator:a5e5520194ea4042fe07b0bf53c28f634 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 231 | <tr class="memitem:ae68bb844446f28cf8580ecbe2f516ff6 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#ae68bb844446f28cf8580ecbe2f516ff6">Reparent</a> (<a class="el" href="classarmnn_1_1_graph.html">Graph</a> &dest, std::list< <a class="el" href="classarmnn_1_1_layer.html">Layer</a> * >::const_iterator iterator)=0</td></tr> |
| 232 | <tr class="separator:ae68bb844446f28cf8580ecbe2f516ff6 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 233 | <tr class="memitem:a43a46eafee5c08787ab17b4342730c20 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a43a46eafee5c08787ab17b4342730c20">BackendSelectionHint</a> (<a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> > backend) final</td></tr> |
| 234 | <tr class="memdesc:a43a46eafee5c08787ab17b4342730c20 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft"> </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.html#a43a46eafee5c08787ab17b4342730c20">More...</a><br /></td></tr> |
| 235 | <tr class="separator:a43a46eafee5c08787ab17b4342730c20 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 236 | <tr class="memitem:a6ff80e440308295056b57e2adaa42888 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a6ff80e440308295056b57e2adaa42888">GetBackendHint</a> () const</td></tr> |
| 237 | <tr class="separator:a6ff80e440308295056b57e2adaa42888 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 238 | <tr class="memitem:a429abdfa769f4d48268938dcaea00904 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a429abdfa769f4d48268938dcaea00904">SetShapeInferenceMethod</a> (<a class="el" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod)</td></tr> |
| 239 | <tr class="separator:a429abdfa769f4d48268938dcaea00904 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 240 | <tr class="memitem:a328c9cf1c3abf2febcce4801ba706541 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a328c9cf1c3abf2febcce4801ba706541">SetAllowExpandedDims</a> (bool allowExpandedDims)</td></tr> |
| 241 | <tr class="separator:a328c9cf1c3abf2febcce4801ba706541 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 242 | <tr class="memitem:aefb14147290b6b928c5fc924ba035acc inherit pub_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> |
| 243 | <tr class="memitem:aefb14147290b6b928c5fc924ba035acc inherit pub_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top">std::shared_ptr< T > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#aefb14147290b6b928c5fc924ba035acc">GetAdditionalInformation</a> () const</td></tr> |
| 244 | <tr class="separator:aefb14147290b6b928c5fc924ba035acc inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 245 | <tr class="memitem:aea1c8483ebeabc0dcbd9090b4f648f1d inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#aea1c8483ebeabc0dcbd9090b4f648f1d">SetAdditionalInfoForObject</a> (const <a class="el" href="namespacearmnn.html#a2a5caf3721af872f43c7642fec9449bc">AdditionalInfoObjectPtr</a> &additionalInfo)</td></tr> |
| 246 | <tr class="separator:aea1c8483ebeabc0dcbd9090b4f648f1d inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 247 | <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.html">BaseDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a94a487f29157eeec10e2f9a372487bcc">GetParameters</a> () const override</td></tr> |
| 248 | <tr class="memdesc:a94a487f29157eeec10e2f9a372487bcc inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft"> </td><td class="mdescRight">If the layer has a descriptor return it. <a href="classarmnn_1_1_layer.html#a94a487f29157eeec10e2f9a372487bcc">More...</a><br /></td></tr> |
| 249 | <tr class="separator:a94a487f29157eeec10e2f9a372487bcc inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 250 | </table><table class="memberdecls"> |
| 251 | <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a> |
| 252 | Protected Member Functions</h2></td></tr> |
| 253 | <tr class="memitem:ae7927aab32dbcb1b0a6fb5e43bcd4419"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#ae7927aab32dbcb1b0a6fb5e43bcd4419">DepthwiseConvolution2dLayer</a> (const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a> &param, const char *name)</td></tr> |
| 254 | <tr class="memdesc:ae7927aab32dbcb1b0a6fb5e43bcd4419"><td class="mdescLeft"> </td><td class="mdescRight">Constructor to create a <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html" title="This layer represents a depthwise convolution 2d operation.">DepthwiseConvolution2dLayer</a>. <a href="classarmnn_1_1_depthwise_convolution2d_layer.html#ae7927aab32dbcb1b0a6fb5e43bcd4419">More...</a><br /></td></tr> |
| 255 | <tr class="separator:ae7927aab32dbcb1b0a6fb5e43bcd4419"><td class="memSeparator" colspan="2"> </td></tr> |
| 256 | <tr class="memitem:aa083660358ea15446f823a38c1533698"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#aa083660358ea15446f823a38c1533698">~DepthwiseConvolution2dLayer</a> ()=default</td></tr> |
| 257 | <tr class="memdesc:aa083660358ea15446f823a38c1533698"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="classarmnn_1_1_depthwise_convolution2d_layer.html#aa083660358ea15446f823a38c1533698">More...</a><br /></td></tr> |
| 258 | <tr class="separator:aa083660358ea15446f823a38c1533698"><td class="memSeparator" colspan="2"> </td></tr> |
| 259 | <tr class="memitem:a29cc31172f6ab16ac931f90c667c092d"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">ImmutableConstantTensors</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a29cc31172f6ab16ac931f90c667c092d">GetConstantTensorsByRef</a> () const override</td></tr> |
| 260 | <tr class="memdesc:a29cc31172f6ab16ac931f90c667c092d"><td class="mdescLeft"> </td><td class="mdescRight">Retrieve the handles to the constant values connected to the layer. <a href="classarmnn_1_1_depthwise_convolution2d_layer.html#a29cc31172f6ab16ac931f90c667c092d">More...</a><br /></td></tr> |
| 261 | <tr class="separator:a29cc31172f6ab16ac931f90c667c092d"><td class="memSeparator" colspan="2"> </td></tr> |
| 262 | <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="-"/> Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters< DepthwiseConvolution2dDescriptor ></a></td></tr> |
| 263 | <tr class="memitem:a1f5a1d629b1ef52a0d8e0214a0fb51a1 inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#a1f5a1d629b1ef52a0d8e0214a0fb51a1">LayerWithParameters</a> (unsigned int numInputSlots, unsigned int numOutputSlots, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a> &param, const char *name)</td></tr> |
| 264 | <tr class="separator:a1f5a1d629b1ef52a0d8e0214a0fb51a1 inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| 265 | <tr class="memitem:adc0f578e075f63379058f2d2641a509a inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#adc0f578e075f63379058f2d2641a509a">~LayerWithParameters</a> ()=default</td></tr> |
| 266 | <tr class="separator:adc0f578e075f63379058f2d2641a509a inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| 267 | <tr class="memitem:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> &descriptor) const</td></tr> |
| 268 | <tr class="memdesc:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="mdescLeft"> </td><td class="mdescRight">Helper function to reduce duplication in *Layer::CreateWorkload. <a href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">More...</a><br /></td></tr> |
| 269 | <tr class="separator:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| 270 | <tr class="memitem:a46fc3fdd4b2a5dd6d184e57983cf20bc inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ExecuteStrategy</a> (<a class="el" href="classarmnn_1_1_i_strategy.html">IStrategy</a> &strategy) const override</td></tr> |
| 271 | <tr class="memdesc:a46fc3fdd4b2a5dd6d184e57983cf20bc inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="mdescLeft"> </td><td class="mdescRight">Apply a visitor to this layer. <a href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">More...</a><br /></td></tr> |
| 272 | <tr class="separator:a46fc3fdd4b2a5dd6d184e57983cf20bc inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| 273 | <tr class="memitem:ad588423ab0d55c8ec4860a7f0a21f5a0 inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">Layer::ImmutableConstantTensors</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#ad588423ab0d55c8ec4860a7f0a21f5a0">GetConnectedConstantAsInputTensors</a> () const</td></tr> |
| 274 | <tr class="separator:ad588423ab0d55c8ec4860a7f0a21f5a0 inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| 275 | <tr class="inherit_header pro_methods_classarmnn_1_1_layer"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_layer')"><img src="closed.png" alt="-"/> Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_layer.html">Layer</a></td></tr> |
| 276 | <tr class="memitem:aacfb208d750bdfce1bbd423e5cac76e2 inherit pro_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#aacfb208d750bdfce1bbd423e5cac76e2">~Layer</a> ()=default</td></tr> |
| 277 | <tr class="separator:aacfb208d750bdfce1bbd423e5cac76e2 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 278 | <tr class="memitem:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template<typename QueueDescriptor > </td></tr> |
| 279 | <tr class="memitem:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#afc3239f5fc116259bf5451964e803646">CollectQueueDescriptorInputs</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> &descriptor, <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &info) const</td></tr> |
| 280 | <tr class="separator:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 281 | <tr class="memitem:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template<typename QueueDescriptor > </td></tr> |
| 282 | <tr class="memitem:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a499ca5a94d0174ed21786b6994b2cd8c">CollectQueueDescriptorOutputs</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> &descriptor, <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &info) const</td></tr> |
| 283 | <tr class="separator:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 284 | <tr class="memitem:aeb2d638cc0e02c10075e015100996f2d inherit pro_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &outputShape, const <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &inferredShape, const <a class="el" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</td></tr> |
| 285 | <tr class="separator:aeb2d638cc0e02c10075e015100996f2d inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 286 | <tr class="memitem:a448afc716fda85394df1e8e5b7d530e8 inherit pro_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &outputShape, <a class="el" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod)</td></tr> |
| 287 | <tr class="separator:a448afc716fda85394df1e8e5b7d530e8 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 288 | <tr class="memitem:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template<typename QueueDescriptor > </td></tr> |
| 289 | <tr class="memitem:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> &descriptor) const</td></tr> |
| 290 | <tr class="memdesc:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="mdescLeft"> </td><td class="mdescRight">Helper function to reduce duplication in *Layer::CreateWorkload. <a href="classarmnn_1_1_layer.html#a30a858b2b26d651a066537e499fbf40d">More...</a><br /></td></tr> |
| 291 | <tr class="separator:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 292 | <tr class="memitem:aa10fd205c3f5469a9ecb2aa2a3ffd101 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template<typename LayerType , typename ... Params> </td></tr> |
| 293 | <tr class="memitem:aa10fd205c3f5469a9ecb2aa2a3ffd101 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> * </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#aa10fd205c3f5469a9ecb2aa2a3ffd101">CloneBase</a> (<a class="el" href="classarmnn_1_1_graph.html">Graph</a> &graph, Params &&... params) const</td></tr> |
| 294 | <tr class="separator:aa10fd205c3f5469a9ecb2aa2a3ffd101 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 295 | <tr class="memitem:a9114de666bc2d910faa846b04fc26974 inherit pro_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_i_connectable_layer.html#af978f897fb7e115a901cb7ed95f8e532">ConstantTensors</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a9114de666bc2d910faa846b04fc26974">GetConstantTensorsByRef</a> () override final</td></tr> |
| 296 | <tr class="separator:a9114de666bc2d910faa846b04fc26974 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 297 | <tr class="memitem:af7f0460d32511de0da525f1817d13e8c inherit pro_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> &descriptor) const</td></tr> |
| 298 | <tr class="separator:af7f0460d32511de0da525f1817d13e8c inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 299 | <tr class="inherit_header pro_methods_classarmnn_1_1_i_connectable_layer"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_i_connectable_layer')"><img src="closed.png" alt="-"/> Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a></td></tr> |
| 300 | <tr class="memitem:a8c7faf37c1d965431aaa02ae934d67ee inherit pro_methods_classarmnn_1_1_i_connectable_layer"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#a8c7faf37c1d965431aaa02ae934d67ee">~IConnectableLayer</a> ()</td></tr> |
| 301 | <tr class="memdesc:a8c7faf37c1d965431aaa02ae934d67ee inherit pro_methods_classarmnn_1_1_i_connectable_layer"><td class="mdescLeft"> </td><td class="mdescRight">Objects are not deletable via the handle. <a href="classarmnn_1_1_i_connectable_layer.html#a8c7faf37c1d965431aaa02ae934d67ee">More...</a><br /></td></tr> |
| 302 | <tr class="separator:a8c7faf37c1d965431aaa02ae934d67ee inherit pro_methods_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 303 | </table><table class="memberdecls"> |
| 304 | <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a> |
| 305 | Additional Inherited Members</h2></td></tr> |
| 306 | <tr class="inherit_header pub_types_classarmnn_1_1_layer_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classarmnn_1_1_layer_with_parameters')"><img src="closed.png" alt="-"/> Public Types inherited from <a class="el" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters< DepthwiseConvolution2dDescriptor ></a></td></tr> |
| 307 | <tr class="memitem:a6b1bd3d5380a0ce8ecb71ddb0261c3fa inherit pub_types_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#a6b1bd3d5380a0ce8ecb71ddb0261c3fa">DescriptorType</a> = <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a></td></tr> |
| 308 | <tr class="separator:a6b1bd3d5380a0ce8ecb71ddb0261c3fa inherit pub_types_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| 309 | <tr class="inherit_header pub_types_classarmnn_1_1_i_connectable_layer"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classarmnn_1_1_i_connectable_layer')"><img src="closed.png" alt="-"/> Public Types inherited from <a class="el" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a></td></tr> |
| 310 | <tr class="memitem:af978f897fb7e115a901cb7ed95f8e532 inherit pub_types_classarmnn_1_1_i_connectable_layer"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#af978f897fb7e115a901cb7ed95f8e532">ConstantTensors</a> = std::vector< std::reference_wrapper< std::shared_ptr< <a class="el" href="classarmnn_1_1_const_tensor_handle.html">ConstTensorHandle</a> > >></td></tr> |
| 311 | <tr class="separator:af978f897fb7e115a901cb7ed95f8e532 inherit pub_types_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 312 | <tr class="memitem:aba5c20cadbebd2e7ba67e20a47e31472 inherit pub_types_classarmnn_1_1_i_connectable_layer"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">ImmutableConstantTensors</a> = std::vector< std::reference_wrapper< const std::shared_ptr< <a class="el" href="classarmnn_1_1_const_tensor_handle.html">ConstTensorHandle</a> > >></td></tr> |
| 313 | <tr class="separator:aba5c20cadbebd2e7ba67e20a47e31472 inherit pub_types_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 314 | <tr class="inherit_header pro_attribs_classarmnn_1_1_layer_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_classarmnn_1_1_layer_with_parameters')"><img src="closed.png" alt="-"/> Protected Attributes inherited from <a class="el" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters< DepthwiseConvolution2dDescriptor ></a></td></tr> |
| 315 | <tr class="memitem:ad32ac22bc72e28dfd6b466d143c8e262 inherit pro_attribs_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a></td></tr> |
| 316 | <tr class="memdesc:ad32ac22bc72e28dfd6b466d143c8e262 inherit pro_attribs_classarmnn_1_1_layer_with_parameters"><td class="mdescLeft"> </td><td class="mdescRight">The parameters for the layer (not including tensor-valued weights etc.). <a href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">More...</a><br /></td></tr> |
| 317 | <tr class="separator:ad32ac22bc72e28dfd6b466d143c8e262 inherit pro_attribs_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| 318 | <tr class="inherit_header pro_attribs_classarmnn_1_1_layer"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_classarmnn_1_1_layer')"><img src="closed.png" alt="-"/> Protected Attributes inherited from <a class="el" href="classarmnn_1_1_layer.html">Layer</a></td></tr> |
| 319 | <tr class="memitem:ac7170f79bd0eadb1b6153e359c023cc0 inherit pro_attribs_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#a2a5caf3721af872f43c7642fec9449bc">AdditionalInfoObjectPtr</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#ac7170f79bd0eadb1b6153e359c023cc0">m_AdditionalInfoObject</a></td></tr> |
| 320 | <tr class="separator:ac7170f79bd0eadb1b6153e359c023cc0 inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 321 | <tr class="memitem:aa44d91037bba52ba0dec6577509ade3b inherit pro_attribs_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_output_handler.html">OutputHandler</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a></td></tr> |
| 322 | <tr class="separator:aa44d91037bba52ba0dec6577509ade3b inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 323 | <tr class="memitem:afe508761cc8318b15329ba4acf7fbfec inherit pro_attribs_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a></td></tr> |
| 324 | <tr class="separator:afe508761cc8318b15329ba4acf7fbfec inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| 325 | </table> |
| 326 | <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| 327 | <div class="textblock"><p>This layer represents a depthwise convolution 2d operation. </p> |
| 328 | |
| 329 | <p class="definition">Definition at line <a class="el" href="_depthwise_convolution2d_layer_8hpp_source.html#l00015">15</a> of file <a class="el" href="_depthwise_convolution2d_layer_8hpp_source.html">DepthwiseConvolution2dLayer.hpp</a>.</p> |
| 330 | </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| 331 | <a id="ae7927aab32dbcb1b0a6fb5e43bcd4419"></a> |
| 332 | <h2 class="memtitle"><span class="permalink"><a href="#ae7927aab32dbcb1b0a6fb5e43bcd4419">◆ </a></span>DepthwiseConvolution2dLayer()</h2> |
| 333 | |
| 334 | <div class="memitem"> |
| 335 | <div class="memproto"> |
| 336 | <table class="mlabels"> |
| 337 | <tr> |
| 338 | <td class="mlabels-left"> |
| 339 | <table class="memname"> |
| 340 | <tr> |
| 341 | <td class="memname"><a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html">DepthwiseConvolution2dLayer</a> </td> |
| 342 | <td>(</td> |
| 343 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a> & </td> |
| 344 | <td class="paramname"><em>param</em>, </td> |
| 345 | </tr> |
| 346 | <tr> |
| 347 | <td class="paramkey"></td> |
| 348 | <td></td> |
| 349 | <td class="paramtype">const char * </td> |
| 350 | <td class="paramname"><em>name</em> </td> |
| 351 | </tr> |
| 352 | <tr> |
| 353 | <td></td> |
| 354 | <td>)</td> |
| 355 | <td></td><td></td> |
| 356 | </tr> |
| 357 | </table> |
| 358 | </td> |
| 359 | <td class="mlabels-right"> |
| 360 | <span class="mlabels"><span class="mlabel">protected</span></span> </td> |
| 361 | </tr> |
| 362 | </table> |
| 363 | </div><div class="memdoc"> |
| 364 | |
| 365 | <p>Constructor to create a <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html" title="This layer represents a depthwise convolution 2d operation.">DepthwiseConvolution2dLayer</a>. </p> |
| 366 | <dl class="params"><dt>Parameters</dt><dd> |
| 367 | <table class="params"> |
| 368 | <tr><td class="paramdir">[in]</td><td class="paramname">param</td><td><a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html" title="A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer.">DepthwiseConvolution2dDescriptor</a> to configure the depthwise convolution2d. </td></tr> |
| 369 | <tr><td class="paramdir">[in]</td><td class="paramname">name</td><td><a class="el" href="classarmnn_1_1_optional.html">Optional</a> name for the layer. </td></tr> |
| 370 | </table> |
| 371 | </dd> |
| 372 | </dl> |
| 373 | |
| 374 | <p class="definition">Definition at line <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00023">23</a> of file <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html">DepthwiseConvolution2dLayer.cpp</a>.</p> |
| 375 | <div class="fragment"><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  : <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a1f5a1d629b1ef52a0d8e0214a0fb51a1">LayerWithParameters</a>(param.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a62938964ffd34d5af3f2d56ca1183b18">GetNumInputs</a>(), 1, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>, param, name)</div> |
| 376 | <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> {</div> |
| 377 | <div class="line"><a name="l00027"></a><span class="lineno"> 27</span> }</div> |
| 378 | </div><!-- fragment --> |
| 379 | <p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::DepthwiseConvolution2d</a>.</p> |
| 380 | |
| 381 | </div> |
| 382 | </div> |
| 383 | <a id="aa083660358ea15446f823a38c1533698"></a> |
| 384 | <h2 class="memtitle"><span class="permalink"><a href="#aa083660358ea15446f823a38c1533698">◆ </a></span>~DepthwiseConvolution2dLayer()</h2> |
| 385 | |
| 386 | <div class="memitem"> |
| 387 | <div class="memproto"> |
| 388 | <table class="mlabels"> |
| 389 | <tr> |
| 390 | <td class="mlabels-left"> |
| 391 | <table class="memname"> |
| 392 | <tr> |
| 393 | <td class="memname">~<a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html">DepthwiseConvolution2dLayer</a> </td> |
| 394 | <td>(</td> |
| 395 | <td class="paramname"></td><td>)</td> |
| 396 | <td></td> |
| 397 | </tr> |
| 398 | </table> |
| 399 | </td> |
| 400 | <td class="mlabels-right"> |
| 401 | <span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">default</span></span> </td> |
| 402 | </tr> |
| 403 | </table> |
| 404 | </div><div class="memdoc"> |
| 405 | |
| 406 | <p>Default destructor. </p> |
| 407 | |
| 408 | </div> |
| 409 | </div> |
| 410 | <h2 class="groupheader">Member Function Documentation</h2> |
| 411 | <a id="a6f56b4ee567a69e7daf2e9bd3053646c"></a> |
| 412 | <h2 class="memtitle"><span class="permalink"><a href="#a6f56b4ee567a69e7daf2e9bd3053646c">◆ </a></span>Clone()</h2> |
| 413 | |
| 414 | <div class="memitem"> |
| 415 | <div class="memproto"> |
| 416 | <table class="mlabels"> |
| 417 | <tr> |
| 418 | <td class="mlabels-left"> |
| 419 | <table class="memname"> |
| 420 | <tr> |
| 421 | <td class="memname"><a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html">DepthwiseConvolution2dLayer</a> * Clone </td> |
| 422 | <td>(</td> |
| 423 | <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.html">Graph</a> & </td> |
| 424 | <td class="paramname"><em>graph</em></td><td>)</td> |
| 425 | <td> const</td> |
| 426 | </tr> |
| 427 | </table> |
| 428 | </td> |
| 429 | <td class="mlabels-right"> |
| 430 | <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| 431 | </tr> |
| 432 | </table> |
| 433 | </div><div class="memdoc"> |
| 434 | |
| 435 | <p>Creates a dynamically-allocated copy of this layer. </p> |
| 436 | <dl class="params"><dt>Parameters</dt><dd> |
| 437 | <table class="params"> |
| 438 | <tr><td class="paramdir">[in]</td><td class="paramname">graph</td><td>The graph into which this layer is being cloned. </td></tr> |
| 439 | </table> |
| 440 | </dd> |
| 441 | </dl> |
| 442 | |
| 443 | <p>Implements <a class="el" href="classarmnn_1_1_layer.html#ae89ff455503aa106d00bf34103d2f2e0">Layer</a>.</p> |
| 444 | |
| 445 | <p class="definition">Definition at line <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00058">58</a> of file <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html">DepthwiseConvolution2dLayer.cpp</a>.</p> |
| 446 | <div class="fragment"><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> {</div> |
| 447 | <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">auto</span> layer = CloneBase<DepthwiseConvolution2dLayer>(graph, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> |
| 448 | <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">return</span> std::move(layer);</div> |
| 449 | <div class="line"><a name="l00062"></a><span class="lineno"> 62</span> }</div> |
| 450 | </div><!-- fragment --> |
| 451 | <p class="reference">References <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< DepthwiseConvolution2dDescriptor >::m_Param</a>.</p> |
| 452 | |
| 453 | </div> |
| 454 | </div> |
| 455 | <a id="adfa912d0c4c6c00f1af2cbfa799572b7"></a> |
| 456 | <h2 class="memtitle"><span class="permalink"><a href="#adfa912d0c4c6c00f1af2cbfa799572b7">◆ </a></span>CreateWorkload()</h2> |
| 457 | |
| 458 | <div class="memitem"> |
| 459 | <div class="memproto"> |
| 460 | <table class="mlabels"> |
| 461 | <tr> |
| 462 | <td class="mlabels-left"> |
| 463 | <table class="memname"> |
| 464 | <tr> |
| 465 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a> > CreateWorkload </td> |
| 466 | <td>(</td> |
| 467 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a> & </td> |
| 468 | <td class="paramname"><em>factory</em></td><td>)</td> |
| 469 | <td> const</td> |
| 470 | </tr> |
| 471 | </table> |
| 472 | </td> |
| 473 | <td class="mlabels-right"> |
| 474 | <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| 475 | </tr> |
| 476 | </table> |
| 477 | </div><div class="memdoc"> |
| 478 | |
| 479 | <p>Makes a workload for the DepthwiseConvolution2d type. </p> |
| 480 | <dl class="params"><dt>Parameters</dt><dd> |
| 481 | <table class="params"> |
| 482 | <tr><td class="paramdir">[in]</td><td class="paramname">graph</td><td>The graph where this layer can be found. </td></tr> |
| 483 | <tr><td class="paramdir">[in]</td><td class="paramname">factory</td><td>The workload factory which will create the workload. </td></tr> |
| 484 | </table> |
| 485 | </dd> |
| 486 | </dl> |
| 487 | <dl class="section return"><dt>Returns</dt><dd>A pointer to the created workload, or nullptr if not created. </dd></dl> |
| 488 | |
| 489 | <p>Implements <a class="el" href="classarmnn_1_1_layer.html#a08d1e10a45f15cd0bd02557be35a3864">Layer</a>.</p> |
| 490 | |
| 491 | <p class="definition">Definition at line <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00050">50</a> of file <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html">DepthwiseConvolution2dLayer.cpp</a>.</p> |
| 492 | <div class="fragment"><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div> |
| 493 | <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.html">DepthwiseConvolution2dQueueDescriptor</a> descriptor;</div> |
| 494 | <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div> |
| 495 | <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  </div> |
| 496 | <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <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#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div> |
| 497 | <div class="line"><a name="l00056"></a><span class="lineno"> 56</span> }</div> |
| 498 | </div><!-- fragment --> |
| 499 | <p class="reference">References <a class="el" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::DepthwiseConvolution2d</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters< DepthwiseConvolution2dDescriptor >::PrepInfoAndDesc()</a>, and <a class="el" href="_layer_8cpp_source.html#l00303">Layer::SetAdditionalInfo()</a>.</p> |
| 500 | |
| 501 | </div> |
| 502 | </div> |
| 503 | <a id="a46fc3fdd4b2a5dd6d184e57983cf20bc"></a> |
| 504 | <h2 class="memtitle"><span class="permalink"><a href="#a46fc3fdd4b2a5dd6d184e57983cf20bc">◆ </a></span>ExecuteStrategy()</h2> |
| 505 | |
| 506 | <div class="memitem"> |
| 507 | <div class="memproto"> |
| 508 | <table class="mlabels"> |
| 509 | <tr> |
| 510 | <td class="mlabels-left"> |
| 511 | <table class="memname"> |
| 512 | <tr> |
| 513 | <td class="memname">void ExecuteStrategy </td> |
| 514 | <td>(</td> |
| 515 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_strategy.html">IStrategy</a> & </td> |
| 516 | <td class="paramname"><em>strategy</em></td><td>)</td> |
| 517 | <td> const</td> |
| 518 | </tr> |
| 519 | </table> |
| 520 | </td> |
| 521 | <td class="mlabels-right"> |
| 522 | <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| 523 | </tr> |
| 524 | </table> |
| 525 | </div><div class="memdoc"> |
| 526 | |
| 527 | <p>Apply a visitor to this layer. </p> |
| 528 | |
| 529 | <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a>.</p> |
| 530 | |
| 531 | <p class="definition">Definition at line <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00155">155</a> of file <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html">DepthwiseConvolution2dLayer.cpp</a>.</p> |
| 532 | <div class="fragment"><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> {</div> |
| 533 | <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  strategy.<a class="code" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">ExecuteStrategy</a>(<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> |
| 534 | <div class="line"><a name="l00158"></a><span class="lineno"> 158</span> }</div> |
| 535 | </div><!-- fragment --> |
| 536 | <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< DepthwiseConvolution2dDescriptor >::GetParameters()</a>.</p> |
| 537 | |
| 538 | </div> |
| 539 | </div> |
| 540 | <a id="a29cc31172f6ab16ac931f90c667c092d"></a> |
| 541 | <h2 class="memtitle"><span class="permalink"><a href="#a29cc31172f6ab16ac931f90c667c092d">◆ </a></span>GetConstantTensorsByRef()</h2> |
| 542 | |
| 543 | <div class="memitem"> |
| 544 | <div class="memproto"> |
| 545 | <table class="mlabels"> |
| 546 | <tr> |
| 547 | <td class="mlabels-left"> |
| 548 | <table class="memname"> |
| 549 | <tr> |
| 550 | <td class="memname"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">Layer::ImmutableConstantTensors</a> GetConstantTensorsByRef </td> |
| 551 | <td>(</td> |
| 552 | <td class="paramname"></td><td>)</td> |
| 553 | <td> const</td> |
| 554 | </tr> |
| 555 | </table> |
| 556 | </td> |
| 557 | <td class="mlabels-right"> |
| 558 | <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span> </td> |
| 559 | </tr> |
| 560 | </table> |
| 561 | </div><div class="memdoc"> |
| 562 | |
| 563 | <p>Retrieve the handles to the constant values connected to the layer. </p> |
| 564 | <dl class="section return"><dt>Returns</dt><dd>A vector of the constant tensors connected to the layer. </dd></dl> |
| 565 | |
| 566 | <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a45544992c89527fa4d51498a91401640">Layer</a>.</p> |
| 567 | |
| 568 | <p class="definition">Definition at line <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00149">149</a> of file <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html">DepthwiseConvolution2dLayer.cpp</a>.</p> |
| 569 | <div class="fragment"><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> {</div> |
| 570 | <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">Layer::ImmutableConstantTensors</a> tensors = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad588423ab0d55c8ec4860a7f0a21f5a0">GetConnectedConstantAsInputTensors</a>();</div> |
| 571 | <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">return</span> tensors;</div> |
| 572 | <div class="line"><a name="l00153"></a><span class="lineno"> 153</span> }</div> |
| 573 | </div><!-- fragment --> |
| 574 | <p class="reference">References <a class="el" href="_layer_with_parameters_8hpp_source.html#l00059">LayerWithParameters< DepthwiseConvolution2dDescriptor >::GetConnectedConstantAsInputTensors()</a>.</p> |
| 575 | |
| 576 | </div> |
| 577 | </div> |
| 578 | <a id="a65ca562c882ad619684445a1402f415a"></a> |
| 579 | <h2 class="memtitle"><span class="permalink"><a href="#a65ca562c882ad619684445a1402f415a">◆ </a></span>InferOutputShapes()</h2> |
| 580 | |
| 581 | <div class="memitem"> |
| 582 | <div class="memproto"> |
| 583 | <table class="mlabels"> |
| 584 | <tr> |
| 585 | <td class="mlabels-left"> |
| 586 | <table class="memname"> |
| 587 | <tr> |
| 588 | <td class="memname">std::vector< <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> > InferOutputShapes </td> |
| 589 | <td>(</td> |
| 590 | <td class="paramtype">const std::vector< <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> > & </td> |
| 591 | <td class="paramname"><em>inputShapes</em></td><td>)</td> |
| 592 | <td> const</td> |
| 593 | </tr> |
| 594 | </table> |
| 595 | </td> |
| 596 | <td class="mlabels-right"> |
| 597 | <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| 598 | </tr> |
| 599 | </table> |
| 600 | </div><div class="memdoc"> |
| 601 | |
| 602 | <p>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. </p> |
| 603 | <dl class="params"><dt>Parameters</dt><dd> |
| 604 | <table class="params"> |
| 605 | <tr><td class="paramdir">[in]</td><td class="paramname">inputShapes</td><td>The input shapes layer has. </td></tr> |
| 606 | </table> |
| 607 | </dd> |
| 608 | </dl> |
| 609 | <dl class="section return"><dt>Returns</dt><dd>A vector to the inferred output shape. </dd></dl> |
| 610 | |
| 611 | <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">Layer</a>.</p> |
| 612 | |
| 613 | <p class="definition">Definition at line <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00065">65</a> of file <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html">DepthwiseConvolution2dLayer.cpp</a>.</p> |
| 614 | <div class="fragment"><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> {</div> |
| 615 | <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">if</span> (inputShapes.size() != 2)</div> |
| 616 | <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  {</div> |
| 617 | <div class="line"><a name="l00069"></a><span class="lineno"> 69</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> |
| 618 | <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="stringliteral">"\" - should be \"2\"."</span>);</div> |
| 619 | <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  }</div> |
| 620 | <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  </div> |
| 621 | <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& inputShape = inputShapes[0];</div> |
| 622 | <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& filterShape = inputShapes[1];</div> |
| 623 | <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  </div> |
| 624 | <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">if</span> (inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != 4)</div> |
| 625 | <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  {</div> |
| 626 | <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"Convolutions will always have 4D input."</span>);</div> |
| 627 | <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div> |
| 628 | <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  </div> |
| 629 | <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> == 0)</div> |
| 630 | <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  {</div> |
| 631 | <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"m_StrideX cannot be 0."</span>);</div> |
| 632 | <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  }</div> |
| 633 | <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  </div> |
| 634 | <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> == 0)</div> |
| 635 | <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  {</div> |
| 636 | <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"m_StrideY cannot be 0."</span>);</div> |
| 637 | <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</div> |
| 638 | <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  </div> |
| 639 | <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  </div> |
| 640 | <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> dataLayoutIndex(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div> |
| 641 | <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  </div> |
| 642 | <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputBatchSize = inputShape[0];</div> |
| 643 | <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight = inputShape[dataLayoutIndex.GetHeightIndex()];</div> |
| 644 | <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth = inputShape[dataLayoutIndex.GetWidthIndex()];</div> |
| 645 | <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  </div> |
| 646 | <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Expected filter shape: [ 1, H, W, O ] - This shape does NOT depend on the data layout</span></div> |
| 647 | <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="comment">// Namely: [ 1, filter height, filter width, output channels ]</span></div> |
| 648 | <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  </div> |
| 649 | <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterHeight = filterShape[1];</div> |
| 650 | <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dilatedFilterHeight = filterHeight + (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> - 1) * (filterHeight - 1);</div> |
| 651 | <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> readHeight = (inputHeight + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>) - dilatedFilterHeight;</div> |
| 652 | <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 1 + (readHeight / <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>);</div> |
| 653 | <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  </div> |
| 654 | <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterWidth = filterShape[2];</div> |
| 655 | <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dilatedFilterWidth = filterWidth + (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> - 1) * (filterWidth - 1);</div> |
| 656 | <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> readWidth = (inputWidth + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>) - dilatedFilterWidth;</div> |
| 657 | <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 1 + (readWidth / <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>);</div> |
| 658 | <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  </div> |
| 659 | <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = filterShape[3];</div> |
| 660 | <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputBatchSize = inputBatchSize;</div> |
| 661 | <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  </div> |
| 662 | <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> tensorShape = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a> ?</div> |
| 663 | <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>{ outputBatchSize, outputHeight, outputWidth, outputChannels } :</div> |
| 664 | <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>{ outputBatchSize, outputChannels, outputHeight, outputWidth };</div> |
| 665 | <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  </div> |
| 666 | <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">return</span> std::vector<TensorShape>{ tensorShape };</div> |
| 667 | <div class="line"><a name="l00119"></a><span class="lineno"> 119</span> }</div> |
| 668 | </div><!-- fragment --> |
| 669 | <p class="reference">References <a class="el" href="_data_layout_indexed_8hpp_source.html#l00024">DataLayoutIndexed::GetHeightIndex()</a>, <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>, <a class="el" href="_data_layout_indexed_8hpp_source.html#l00025">DataLayoutIndexed::GetWidthIndex()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00710">DepthwiseConvolution2dDescriptor::m_DataLayout</a>, <a class="el" href="_descriptors_8hpp_source.html#l00704">DepthwiseConvolution2dDescriptor::m_DilationX</a>, <a class="el" href="_descriptors_8hpp_source.html#l00706">DepthwiseConvolution2dDescriptor::m_DilationY</a>, <a class="el" href="_descriptors_8hpp_source.html#l00698">DepthwiseConvolution2dDescriptor::m_PadBottom</a>, <a class="el" href="_descriptors_8hpp_source.html#l00692">DepthwiseConvolution2dDescriptor::m_PadLeft</a>, <a class="el" href="_descriptors_8hpp_source.html#l00694">DepthwiseConvolution2dDescriptor::m_PadRight</a>, <a class="el" href="_descriptors_8hpp_source.html#l00696">DepthwiseConvolution2dDescriptor::m_PadTop</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< DepthwiseConvolution2dDescriptor >::m_Param</a>, <a class="el" href="_descriptors_8hpp_source.html#l00700">DepthwiseConvolution2dDescriptor::m_StrideX</a>, <a class="el" href="_descriptors_8hpp_source.html#l00702">DepthwiseConvolution2dDescriptor::m_StrideY</a>, and <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p> |
| 670 | |
| 671 | <p class="reference">Referenced by <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00121">DepthwiseConvolution2dLayer::ValidateTensorShapesFromInputs()</a>.</p> |
| 672 | |
| 673 | </div> |
| 674 | </div> |
| 675 | <a id="a49a08bdbd40e6913a9a3e1418aa1f43a"></a> |
| 676 | <h2 class="memtitle"><span class="permalink"><a href="#a49a08bdbd40e6913a9a3e1418aa1f43a">◆ </a></span>ReleaseConstantData()</h2> |
| 677 | |
| 678 | <div class="memitem"> |
| 679 | <div class="memproto"> |
| 680 | <table class="mlabels"> |
| 681 | <tr> |
| 682 | <td class="mlabels-left"> |
| 683 | <table class="memname"> |
| 684 | <tr> |
| 685 | <td class="memname">void ReleaseConstantData </td> |
| 686 | <td>(</td> |
| 687 | <td class="paramname"></td><td>)</td> |
| 688 | <td></td> |
| 689 | </tr> |
| 690 | </table> |
| 691 | </td> |
| 692 | <td class="mlabels-right"> |
| 693 | <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| 694 | </tr> |
| 695 | </table> |
| 696 | </div><div class="memdoc"> |
| 697 | |
| 698 | <p>This layer does not have any data stored, weights and bias are now stored in constant layers. </p> |
| 699 | <p>We do not want to release the data in the constant layer, that is why we override with an empty function. </p> |
| 700 | |
| 701 | <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a339bef86bc340c3d1393ed83950fe8af">Layer</a>.</p> |
| 702 | |
| 703 | <p class="definition">Definition at line <a class="el" href="_depthwise_convolution2d_layer_8hpp_source.html#l00046">46</a> of file <a class="el" href="_depthwise_convolution2d_layer_8hpp_source.html">DepthwiseConvolution2dLayer.hpp</a>.</p> |
| 704 | <div class="fragment"><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {}</div> |
| 705 | </div><!-- fragment --> |
| 706 | </div> |
| 707 | </div> |
| 708 | <a id="a2ca654770a1890f15e3c7aab98e434a5"></a> |
| 709 | <h2 class="memtitle"><span class="permalink"><a href="#a2ca654770a1890f15e3c7aab98e434a5">◆ </a></span>SerializeLayerParameters()</h2> |
| 710 | |
| 711 | <div class="memitem"> |
| 712 | <div class="memproto"> |
| 713 | <table class="mlabels"> |
| 714 | <tr> |
| 715 | <td class="mlabels-left"> |
| 716 | <table class="memname"> |
| 717 | <tr> |
| 718 | <td class="memname">void SerializeLayerParameters </td> |
| 719 | <td>(</td> |
| 720 | <td class="paramtype"><a class="el" href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a> & </td> |
| 721 | <td class="paramname"><em>fn</em></td><td>)</td> |
| 722 | <td> const</td> |
| 723 | </tr> |
| 724 | </table> |
| 725 | </td> |
| 726 | <td class="mlabels-right"> |
| 727 | <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| 728 | </tr> |
| 729 | </table> |
| 730 | </div><div class="memdoc"> |
| 731 | |
| 732 | <p>Helper to serialize the layer parameters to string. </p> |
| 733 | <p>(currently used in DotSerializer and company). </p> |
| 734 | |
| 735 | <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#ac04cd8de9b9185756eb02463ffd432b1">Layer</a>.</p> |
| 736 | |
| 737 | <p class="definition">Definition at line <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00029">29</a> of file <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html">DepthwiseConvolution2dLayer.cpp</a>.</p> |
| 738 | <div class="fragment"><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> {</div> |
| 739 | <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">const</span> std::vector<TensorShape>& inputShapes =</div> |
| 740 | <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  {</div> |
| 741 | <div class="line"><a name="l00033"></a><span class="lineno"> 33</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> |
| 742 | <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<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> |
| 743 | <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  };</div> |
| 744 | <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> filterShape = inputShapes[1];</div> |
| 745 | <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels = filterShape[1];</div> |
| 746 | <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterWidth = filterShape[3];</div> |
| 747 | <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterHeight = filterShape[2];</div> |
| 748 | <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depthMultiplier = filterShape[0];</div> |
| 749 | <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  </div> |
| 750 | <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  fn(<span class="stringliteral">"FilterWidth"</span>,std::to_string(filterWidth));</div> |
| 751 | <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  fn(<span class="stringliteral">"FilterHeight"</span>,std::to_string(filterHeight));</div> |
| 752 | <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  fn(<span class="stringliteral">"DepthMultiplier"</span>,std::to_string(depthMultiplier));</div> |
| 753 | <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  fn(<span class="stringliteral">"InputChannels"</span>,std::to_string(inputChannels));</div> |
| 754 | <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  </div> |
| 755 | <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters<DepthwiseConvolution2dDescriptor>::SerializeLayerParameters</a>(fn);</div> |
| 756 | <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> }</div> |
| 757 | </div><!-- fragment --> |
| 758 | <p class="reference">References <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</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>, and <a class="el" href="_layer_with_parameters_8hpp_source.html#l00023">LayerWithParameters< Parameters >::SerializeLayerParameters()</a>.</p> |
| 759 | |
| 760 | </div> |
| 761 | </div> |
| 762 | <a id="a8c8f543d7e9729362c266d12ec169966"></a> |
| 763 | <h2 class="memtitle"><span class="permalink"><a href="#a8c8f543d7e9729362c266d12ec169966">◆ </a></span>ValidateTensorShapesFromInputs()</h2> |
| 764 | |
| 765 | <div class="memitem"> |
| 766 | <div class="memproto"> |
| 767 | <table class="mlabels"> |
| 768 | <tr> |
| 769 | <td class="mlabels-left"> |
| 770 | <table class="memname"> |
| 771 | <tr> |
| 772 | <td class="memname">void ValidateTensorShapesFromInputs </td> |
| 773 | <td>(</td> |
| 774 | <td class="paramname"></td><td>)</td> |
| 775 | <td></td> |
| 776 | </tr> |
| 777 | </table> |
| 778 | </td> |
| 779 | <td class="mlabels-right"> |
| 780 | <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| 781 | </tr> |
| 782 | </table> |
| 783 | </div><div class="memdoc"> |
| 784 | |
| 785 | <p>Check if the input tensor shape(s) will lead to a valid configuration of <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html">DepthwiseConvolution2dLayer</a>. </p> |
| 786 | <dl class="params"><dt>Parameters</dt><dd> |
| 787 | <table class="params"> |
| 788 | <tr><td class="paramdir">[in]</td><td class="paramname">shapeInferenceMethod</td><td>Indicates if output shape shall be overwritten or just validated. </td></tr> |
| 789 | </table> |
| 790 | </dd> |
| 791 | </dl> |
| 792 | |
| 793 | <p>Implements <a class="el" href="classarmnn_1_1_layer.html#a84ff600212ba26e665de9b978ec896a4">Layer</a>.</p> |
| 794 | |
| 795 | <p class="definition">Definition at line <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00121">121</a> of file <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html">DepthwiseConvolution2dLayer.cpp</a>.</p> |
| 796 | <div class="fragment"><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> {</div> |
| 797 | <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a62938964ffd34d5af3f2d56ca1183b18">GetNumInputs</a>(), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| 798 | <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  </div> |
| 799 | <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& 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> |
| 800 | <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  </div> |
| 801 | <div class="line"><a name="l00127"></a><span class="lineno"> 127</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> |
| 802 | <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  </div> |
| 803 | <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).GetConnection())</div> |
| 804 | <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  {</div> |
| 805 | <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"DepthwiseConvolution2dLayer: Weights data should not be null."</span>);</div> |
| 806 | <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  }</div> |
| 807 | <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  </div> |
| 808 | <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>({</div> |
| 809 | <div class="line"><a name="l00135"></a><span class="lineno"> 135</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> |
| 810 | <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<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> |
| 811 | <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  });</div> |
| 812 | <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  </div> |
| 813 | <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">if</span> (inferredShapes.size() != 1)</div> |
| 814 | <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {</div> |
| 815 | <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"inferredShapes has "</span></div> |
| 816 | <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  + std::to_string(inferredShapes.size()) +</div> |
| 817 | <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="stringliteral">" elements - should only have 1."</span>);</div> |
| 818 | <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div> |
| 819 | <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  </div> |
| 820 | <div class="line"><a name="l00146"></a><span class="lineno"> 146</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>, <span class="stringliteral">"DepthwiseConvolution2dLayer"</span>);</div> |
| 821 | <div class="line"><a name="l00147"></a><span class="lineno"> 147</span> }</div> |
| 822 | </div><!-- fragment --> |
| 823 | <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="_descriptors_8cpp_source.html#l00480">DepthwiseConvolution2dDescriptor::GetNumInputs()</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="_depthwise_convolution2d_layer_8cpp_source.html#l00065">DepthwiseConvolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< DepthwiseConvolution2dDescriptor >::m_Param</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> |
| 824 | |
| 825 | </div> |
| 826 | </div> |
| 827 | <hr/>The documentation for this class was generated from the following files:<ul> |
| 828 | <li>src/armnn/layers/<a class="el" href="_depthwise_convolution2d_layer_8hpp_source.html">DepthwiseConvolution2dLayer.hpp</a></li> |
| 829 | <li>src/armnn/layers/<a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html">DepthwiseConvolution2dLayer.cpp</a></li> |
| 830 | </ul> |
| 831 | </div><!-- contents --> |
| 832 | </div><!-- doc-content --> |
| 833 | <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> |
| 834 | <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a2ca654770a1890f15e3c7aab98e434a5"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">armnn::LayerWithParameters::SerializeLayerParameters</a></div><div class="ttdeci">void SerializeLayerParameters(ParameterStringifyFunction &fn) const override</div><div class="ttdoc">Helper to serialize the layer parameters to string (currently used in DotSerializer and company).</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00023">LayerWithParameters.hpp:23</a></div></div> |
| 835 | <div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div><div class="ttdeci">@ NHWC</div></div> |
| 836 | <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::DepthwiseConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00710">Descriptors.hpp:710</a></div></div> |
| 837 | <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> |
| 838 | <div class="ttc" id="aclassarmnn_utils_1_1_data_layout_indexed_html"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html">armnnUtils::DataLayoutIndexed</a></div><div class="ttdoc">Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout.</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00017">DataLayoutIndexed.hpp:17</a></div></div> |
| 839 | <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> |
| 840 | <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::DepthwiseConvolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00692">Descriptors.hpp:692</a></div></div> |
| 841 | <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> |
| 842 | <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">armnn::DepthwiseConvolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00702">Descriptors.hpp:702</a></div></div> |
| 843 | <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> |
| 844 | <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< DepthwiseConvolution2dDescriptor >::GetParameters</a></div><div class="ttdeci">const DepthwiseConvolution2dDescriptor & 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> |
| 845 | <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> |
| 846 | <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_aba5c20cadbebd2e7ba67e20a47e31472"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">armnn::IConnectableLayer::ImmutableConstantTensors</a></div><div class="ttdeci">std::vector< std::reference_wrapper< const std::shared_ptr< ConstTensorHandle > >> ImmutableConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00141">INetwork.hpp:141</a></div></div> |
| 847 | <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> |
| 848 | <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_ad588423ab0d55c8ec4860a7f0a21f5a0"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#ad588423ab0d55c8ec4860a7f0a21f5a0">armnn::LayerWithParameters< DepthwiseConvolution2dDescriptor >::GetConnectedConstantAsInputTensors</a></div><div class="ttdeci">Layer::ImmutableConstantTensors GetConnectedConstantAsInputTensors() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00059">LayerWithParameters.hpp:59</a></div></div> |
| 849 | <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> |
| 850 | <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< DepthwiseConvolution2dDescriptor >::m_Param</a></div><div class="ttdeci">DepthwiseConvolution2dDescriptor 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> |
| 851 | <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00174">Tensor.cpp:174</a></div></div> |
| 852 | <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">armnn::DepthwiseConvolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation factor value for height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00706">Descriptors.hpp:706</a></div></div> |
| 853 | <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< DepthwiseConvolution2dDescriptor >::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> |
| 854 | <div class="ttc" id="aclassarmnn_1_1_layer_validation_exception_html"><div class="ttname"><a href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00105">Exceptions.hpp:105</a></div></div> |
| 855 | <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">armnn::DepthwiseConvolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00694">Descriptors.hpp:694</a></div></div> |
| 856 | <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> |
| 857 | <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 &descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00303">Layer.cpp:303</a></div></div> |
| 858 | <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> |
| 859 | <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">armnn::DepthwiseConvolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00698">Descriptors.hpp:698</a></div></div> |
| 860 | <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.html">armnn::DepthwiseConvolution2dQueueDescriptor</a></div><div class="ttdoc">Depthwise Convolution 2D layer workload data.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00234">WorkloadData.hpp:234</a></div></div> |
| 861 | <div class="ttc" id="aclassarmnn_1_1_depthwise_convolution2d_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">armnn::DepthwiseConvolution2dLayer::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,...</div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8cpp_source.html#l00065">DepthwiseConvolution2dLayer.cpp:65</a></div></div> |
| 862 | <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div> |
| 863 | <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> |
| 864 | <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> |
| 865 | <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< DepthwiseConvolution2dDescriptor >::LayerWithParameters</a></div><div class="ttdeci">LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const DepthwiseConvolution2dDescriptor &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> |
| 866 | <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::DepthwiseConvolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation factor value for width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00704">Descriptors.hpp:704</a></div></div> |
| 867 | <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> |
| 868 | <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< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const =0</div><div class="ttdoc">Backends should implement their own CreateWorkload function with a switch statement.</div></div> |
| 869 | <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 &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div> |
| 870 | <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a62938964ffd34d5af3f2d56ca1183b18"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a62938964ffd34d5af3f2d56ca1183b18">armnn::DepthwiseConvolution2dDescriptor::GetNumInputs</a></div><div class="ttdeci">uint32_t GetNumInputs() const</div><div class="ttdoc">Get the number of views/inputs.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00480">Descriptors.cpp:480</a></div></div> |
| 871 | <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">armnn::DepthwiseConvolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00700">Descriptors.hpp:700</a></div></div> |
| 872 | <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">armnn::DepthwiseConvolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00696">Descriptors.hpp:696</a></div></div> |
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