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| <a href="#pub-methods">Public Member Functions</a> | |
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| <p>This layer represents a depthwise convolution 2d operation. |
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| <p><code>#include <<a class="el" href="_depthwise_convolution2d_layer_8hpp_source.html">DepthwiseConvolution2dLayer.hpp</a>></code></p> |
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| Inheritance diagram for DepthwiseConvolution2dLayer:</div> |
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| Collaboration diagram for DepthwiseConvolution2dLayer:</div> |
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| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| Public Member Functions</h2></td></tr> |
| <tr class="memitem:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <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> |
| <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> |
| <tr class="separator:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a6f56b4ee567a69e7daf2e9bd3053646c"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a8c8f543d7e9729362c266d12ec169966"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a65ca562c882ad619684445a1402f415a"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a46fc3fdd4b2a5dd6d184e57983cf20bc"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a2ca654770a1890f15e3c7aab98e434a5"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a49a08bdbd40e6913a9a3e1418aa1f43a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarmnn_1_1_layer_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_layer_with_parameters')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters< DepthwiseConvolution2dDescriptor ></a></td></tr> |
| <tr class="memitem:afa3e8a8f23589b1eaddbe203825bbdcf inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="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> |
| <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> |
| <tr class="separator:afa3e8a8f23589b1eaddbe203825bbdcf inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a2ca654770a1890f15e3c7aab98e434a5 inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a5e5ae420d199a0bccae5139d38c30205 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a395d070748c18d903705799360088e80 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a9a97cb6d32661a57fc33bd29b8e41ff4 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:af2c0edc7ea62a8baaec4d3d9b2b09256 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a1d4e05c17647232c514cfe58ca80744a inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a3560e0733f829e5194887d014a133144 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
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| <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> |
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| <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> |
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| <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> |
| <tr class="separator:af6cb8de21ef0da269ec9b67755ae92a0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a9752e12d6b79e18da1a25f76159d2a72 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a817d4be6dd88f532d36f51748ec14185 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a55f76d98fcd2f5cdac3e2b14536cb7ab inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a22485f444124128940e798a42f0b76d9 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:aac329cade047e952621b59a51a5d5f49 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af97a07195a67a638605b3c325763c2dd inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.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> |
| <tr class="separator:af97a07195a67a638605b3c325763c2dd inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad8e15c530c929ab823d89ae9fd2d3f11 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.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> |
| <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> |
| <tr class="separator:ad8e15c530c929ab823d89ae9fd2d3f11 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aea909c7327109228ef618d459015def3 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.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> |
| <tr class="separator:aea909c7327109228ef618d459015def3 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:afdb1d37740e7a083b625d669588b6a0e inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a> () const</td></tr> |
| <tr class="separator:afdb1d37740e7a083b625d669588b6a0e inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a316670cb6b65902e017c32ca4bcb4b98 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a3ff62126ec713a2708e5fbaa6146a7de inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a0607e36e88f38c34c71c663164b76776 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a386acff5f8430245239ce58d00ba7576 inherit pub_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template<typename Op > </td></tr> |
| <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> |
| <tr class="separator:a386acff5f8430245239ce58d00ba7576 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a7ddf0cf6f620d59c10e63495ace795d0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:abc0660dc440c8a285b456c9ef6383c26 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a1594bddc87d6477df300317658f566bb inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:acf8b8e23bf647836592982f97088d375 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a1b50eb1358cdf382f4bc3fc8849f8e8e inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a0e36688a43c35668d8db5257274c68fe inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:abbd71844785bb2f00a81baca30ea5ff0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a6d1024208b672a87ef2c1bfaf93d2b9f inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a8dc12f0ee5b232d397bd18ced1a72a64 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a339248d89d5e21534ecf74b4393ed4d2 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a5e5520194ea4042fe07b0bf53c28f634 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:ae68bb844446f28cf8580ecbe2f516ff6 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a43a46eafee5c08787ab17b4342730c20 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a6ff80e440308295056b57e2adaa42888 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a429abdfa769f4d48268938dcaea00904 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a328c9cf1c3abf2febcce4801ba706541 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aefb14147290b6b928c5fc924ba035acc inherit pub_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> |
| <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> |
| <tr class="separator:aefb14147290b6b928c5fc924ba035acc inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:aea1c8483ebeabc0dcbd9090b4f648f1d inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a94a487f29157eeec10e2f9a372487bcc inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual const <a class="el" href="structarmnn_1_1_base_descriptor.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> |
| <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> |
| <tr class="separator:a94a487f29157eeec10e2f9a372487bcc inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a> |
| Protected Member Functions</h2></td></tr> |
| <tr class="memitem: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> |
| <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> |
| <tr class="separator:ae7927aab32dbcb1b0a6fb5e43bcd4419"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:aa083660358ea15446f823a38c1533698"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a29cc31172f6ab16ac931f90c667c092d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pro_methods_classarmnn_1_1_layer_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_layer_with_parameters')"><img src="closed.png" alt="-"/> Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters< DepthwiseConvolution2dDescriptor ></a></td></tr> |
| <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> |
| <tr class="separator:a1f5a1d629b1ef52a0d8e0214a0fb51a1 inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:adc0f578e075f63379058f2d2641a509a inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a46fc3fdd4b2a5dd6d184e57983cf20bc inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:ad588423ab0d55c8ec4860a7f0a21f5a0 inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:aacfb208d750bdfce1bbd423e5cac76e2 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template<typename QueueDescriptor > </td></tr> |
| <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> |
| <tr class="separator:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template<typename QueueDescriptor > </td></tr> |
| <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> |
| <tr class="separator:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:aeb2d638cc0e02c10075e015100996f2d inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a448afc716fda85394df1e8e5b7d530e8 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template<typename QueueDescriptor > </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa10fd205c3f5469a9ecb2aa2a3ffd101 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template<typename LayerType , typename ... Params> </td></tr> |
| <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> |
| <tr class="separator:aa10fd205c3f5469a9ecb2aa2a3ffd101 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a9114de666bc2d910faa846b04fc26974 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:af7f0460d32511de0da525f1817d13e8c inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <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> |
| <tr class="separator:a8c7faf37c1d965431aaa02ae934d67ee inherit pro_methods_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a> |
| Additional Inherited Members</h2></td></tr> |
| <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> |
| <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> |
| <tr class="separator:a6b1bd3d5380a0ce8ecb71ddb0261c3fa inherit pub_types_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:af978f897fb7e115a901cb7ed95f8e532 inherit pub_types_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:aba5c20cadbebd2e7ba67e20a47e31472 inherit pub_types_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <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> |
| <tr class="separator:ad32ac22bc72e28dfd6b466d143c8e262 inherit pro_attribs_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:ac7170f79bd0eadb1b6153e359c023cc0 inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:aa44d91037bba52ba0dec6577509ade3b inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:afe508761cc8318b15329ba4acf7fbfec inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>This layer represents a depthwise convolution 2d operation. </p> |
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| <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> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="ae7927aab32dbcb1b0a6fb5e43bcd4419"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ae7927aab32dbcb1b0a6fb5e43bcd4419">◆ </a></span>DepthwiseConvolution2dLayer()</h2> |
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| <td class="memname"><a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html">DepthwiseConvolution2dLayer</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a> & </td> |
| <td class="paramname"><em>param</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const char * </td> |
| <td class="paramname"><em>name</em> </td> |
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| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">protected</span></span> </td> |
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| <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> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| <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> |
| </table> |
| </dd> |
| </dl> |
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| <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> |
| <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> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> {</div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::DepthwiseConvolution2d</a>.</p> |
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| </div> |
| </div> |
| <a id="aa083660358ea15446f823a38c1533698"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aa083660358ea15446f823a38c1533698">◆ </a></span>~DepthwiseConvolution2dLayer()</h2> |
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| <td class="memname">~<a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html">DepthwiseConvolution2dLayer</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">default</span></span> </td> |
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| <p>Default destructor. </p> |
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| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a6f56b4ee567a69e7daf2e9bd3053646c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a6f56b4ee567a69e7daf2e9bd3053646c">◆ </a></span>Clone()</h2> |
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| <td class="memname"><a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html">DepthwiseConvolution2dLayer</a> * Clone </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.html">Graph</a> & </td> |
| <td class="paramname"><em>graph</em></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Creates a dynamically-allocated copy of this layer. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">graph</td><td>The graph into which this layer is being cloned. </td></tr> |
| </table> |
| </dd> |
| </dl> |
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| <p>Implements <a class="el" href="classarmnn_1_1_layer.html#ae89ff455503aa106d00bf34103d2f2e0">Layer</a>.</p> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> {</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <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> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">return</span> std::move(layer);</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span> }</div> |
| </div><!-- fragment --> |
| <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> |
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| <a id="adfa912d0c4c6c00f1af2cbfa799572b7"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#adfa912d0c4c6c00f1af2cbfa799572b7">◆ </a></span>CreateWorkload()</h2> |
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| <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a> > CreateWorkload </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>factory</em></td><td>)</td> |
| <td> const</td> |
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| <p>Makes a workload for the DepthwiseConvolution2d type. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">graph</td><td>The graph where this layer can be found. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">factory</td><td>The workload factory which will create the workload. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>A pointer to the created workload, or nullptr if not created. </dd></dl> |
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| <p>Implements <a class="el" href="classarmnn_1_1_layer.html#a08d1e10a45f15cd0bd02557be35a3864">Layer</a>.</p> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.html">DepthwiseConvolution2dQueueDescriptor</a> descriptor;</div> |
| <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> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  </div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <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> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span> }</div> |
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| <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#l00287">Layer::SetAdditionalInfo()</a>.</p> |
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| <a id="a46fc3fdd4b2a5dd6d184e57983cf20bc"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a46fc3fdd4b2a5dd6d184e57983cf20bc">◆ </a></span>ExecuteStrategy()</h2> |
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| <td class="memname">void ExecuteStrategy </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_strategy.html">IStrategy</a> & </td> |
| <td class="paramname"><em>strategy</em></td><td>)</td> |
| <td> const</td> |
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| <td class="mlabels-right"> |
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| <p>Apply a visitor to this layer. </p> |
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| <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00132">132</a> of file <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html">DepthwiseConvolution2dLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> {</div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</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> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span> }</div> |
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| <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> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a29cc31172f6ab16ac931f90c667c092d">◆ </a></span>GetConstantTensorsByRef()</h2> |
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| <td class="memname"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">Layer::ImmutableConstantTensors</a> GetConstantTensorsByRef </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
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| <p>Retrieve the handles to the constant values connected to the layer. </p> |
| <dl class="section return"><dt>Returns</dt><dd>A vector of the constant tensors connected to the layer. </dd></dl> |
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| <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a45544992c89527fa4d51498a91401640">Layer</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00126">126</a> of file <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html">DepthwiseConvolution2dLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> {</div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</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> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">return</span> tensors;</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span> }</div> |
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| <p class="reference">References <a class="el" href="_layer_with_parameters_8hpp_source.html#l00059">LayerWithParameters< DepthwiseConvolution2dDescriptor >::GetConnectedConstantAsInputTensors()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a65ca562c882ad619684445a1402f415a">◆ </a></span>InferOutputShapes()</h2> |
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| <td class="memname">std::vector< <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> > InferOutputShapes </td> |
| <td>(</td> |
| <td class="paramtype">const std::vector< <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> > & </td> |
| <td class="paramname"><em>inputShapes</em></td><td>)</td> |
| <td> const</td> |
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| <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> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">inputShapes</td><td>The input shapes layer has. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>A vector to the inferred output shape. </dd></dl> |
| |
| <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">Layer</a>.</p> |
| |
| <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> |
| <div class="fragment"><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> {</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputShapes.size() == 2);</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& inputShape = inputShapes[0];</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& filterShape = inputShapes[1];</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  </div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4, <span class="stringliteral">"Convolutions will always have 4D input."</span>);</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  </div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</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#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> > 0);</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</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#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> > 0);</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  </div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <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> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  </div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputBatchSize = inputShape[0];</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight = inputShape[dataLayoutIndex.GetHeightIndex()];</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth = inputShape[dataLayoutIndex.GetWidthIndex()];</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  </div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="comment">// Expected filter shape: [ 1, H, W, O ] - This shape does NOT depend on the data layout</span></div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">// Namely: [ 1, filter height, filter width, output channels ]</span></div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  </div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterHeight = filterShape[1];</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</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> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</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> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</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> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  </div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterWidth = filterShape[2];</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</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> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</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> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</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> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  </div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = filterShape[3];</div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputBatchSize = inputBatchSize;</div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  </div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</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> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>{ outputBatchSize, outputHeight, outputWidth, outputChannels } :</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>{ outputBatchSize, outputChannels, outputHeight, outputWidth };</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  </div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">return</span> std::vector<TensorShape>{ tensorShape };</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, <a class="el" href="_assert_8hpp_source.html#l00015">ARMNN_ASSERT_MSG</a>, <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> |
| |
| <p class="reference">Referenced by <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00105">DepthwiseConvolution2dLayer::ValidateTensorShapesFromInputs()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a49a08bdbd40e6913a9a3e1418aa1f43a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a49a08bdbd40e6913a9a3e1418aa1f43a">◆ </a></span>ReleaseConstantData()</h2> |
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| <td class="memname">void ReleaseConstantData </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
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| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>This layer does not have any data stored, weights and bias are now stored in constant layers. </p> |
| <p>We do not want to release the data in the constant layer, that is why we override with an empty function. </p> |
| |
| <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a339bef86bc340c3d1393ed83950fe8af">Layer</a>.</p> |
| |
| <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> |
| <div class="fragment"><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {}</div> |
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| <a id="a2ca654770a1890f15e3c7aab98e434a5"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a2ca654770a1890f15e3c7aab98e434a5">◆ </a></span>SerializeLayerParameters()</h2> |
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| <td class="memname">void SerializeLayerParameters </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a> & </td> |
| <td class="paramname"><em>fn</em></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Helper to serialize the layer parameters to string. </p> |
| <p>(currently used in DotSerializer and company). </p> |
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| <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#ac04cd8de9b9185756eb02463ffd432b1">Layer</a>.</p> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> {</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">const</span> std::vector<TensorShape>& inputShapes =</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  {</div> |
| <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> |
| <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> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  };</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> filterShape = inputShapes[1];</div> |
| <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> |
| <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> |
| <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> |
| <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> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  </div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  fn(<span class="stringliteral">"FilterWidth"</span>,std::to_string(filterWidth));</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  fn(<span class="stringliteral">"FilterHeight"</span>,std::to_string(filterHeight));</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  fn(<span class="stringliteral">"DepthMultiplier"</span>,std::to_string(depthMultiplier));</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  fn(<span class="stringliteral">"InputChannels"</span>,std::to_string(inputChannels));</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  </div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters<DepthwiseConvolution2dDescriptor>::SerializeLayerParameters</a>(fn);</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> }</div> |
| </div><!-- fragment --> |
| <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#l00592">InputSlot::GetTensorInfo()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.html#l00023">LayerWithParameters< Parameters >::SerializeLayerParameters()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a8c8f543d7e9729362c266d12ec169966">◆ </a></span>ValidateTensorShapesFromInputs()</h2> |
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| <td class="memname">void ValidateTensorShapesFromInputs </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
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| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <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> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">shapeInferenceMethod</td><td>Indicates if output shape shall be overwritten or just validated. </td></tr> |
| </table> |
| </dd> |
| </dl> |
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| <p>Implements <a class="el" href="classarmnn_1_1_layer.html#a84ff600212ba26e665de9b978ec896a4">Layer</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00105">105</a> of file <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html">DepthwiseConvolution2dLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> {</div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</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> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  </div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</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> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  </div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  </div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).GetConnection(),</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="stringliteral">"DepthwiseConvolution2dLayer: Weights data should not be null."</span>);</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  </div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>({</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</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> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  });</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  </div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes.size() == 1);</div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  </div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</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> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, <a class="el" href="_assert_8hpp_source.html#l00015">ARMNN_ASSERT_MSG</a>, <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00479">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#l00592">InputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00092">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#l00435">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00391">Layer::VerifyLayerConnections()</a>, and <a class="el" href="_layer_8cpp_source.html#l00504">Layer::VerifyShapeInferenceType()</a>.</p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>src/armnn/layers/<a class="el" href="_depthwise_convolution2d_layer_8hpp_source.html">DepthwiseConvolution2dLayer.hpp</a></li> |
| <li>src/armnn/layers/<a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html">DepthwiseConvolution2dLayer.cpp</a></li> |
| </ul> |
| </div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00092">Layer.cpp:92</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_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> |
| <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> |
| <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> |
| <div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div> |
| <div class="ttc" id="aclassarmnn_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> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00435">Layer.cpp:435</a></div></div> |
| <div class="ttc" id="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> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00339">Layer.hpp:339</a></div></div> |
| <div class="ttc" id="a_assert_8hpp_html_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00015">Assert.hpp:15</a></div></div> |
| <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> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00337">Layer.hpp:337</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters< 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> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00332">Layer.hpp:332</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_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> |
| <div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00592">Layer.cpp:592</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_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> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_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> |
| <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> |
| <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> |
| <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> |
| <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> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00504">Layer.cpp:504</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_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#l00287">Layer.cpp:287</a></div></div> |
| <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> |
| <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> |
| <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> |
| <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> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00391">Layer.cpp:391</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_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> |
| <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> |
| <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> |
| <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> |
| <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> |
| <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#l00479">Descriptors.cpp:479</a></div></div> |
| <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> |
| <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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