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| <div class="title">IConnectableLayer Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div> </div> |
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| <p>Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. |
| <a href="classarmnn_1_1_i_connectable_layer.html#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_i_network_8hpp_source.html">INetwork.hpp</a>></code></p> |
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| Inheritance diagram for IConnectableLayer:</div> |
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| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a> |
| Public Types</h2></td></tr> |
| <tr class="memitem:af978f897fb7e115a901cb7ed95f8e532"><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"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aba5c20cadbebd2e7ba67e20a47e31472"><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"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><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:afcc1c3a20bd2860e0ddd21674389246f"><td class="memItemLeft" align="right" valign="top">virtual const char * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#afcc1c3a20bd2860e0ddd21674389246f">GetName</a> () const =0</td></tr> |
| <tr class="memdesc:afcc1c3a20bd2860e0ddd21674389246f"><td class="mdescLeft"> </td><td class="mdescRight">Returns the name of the layer. <a href="classarmnn_1_1_i_connectable_layer.html#afcc1c3a20bd2860e0ddd21674389246f">More...</a><br /></td></tr> |
| <tr class="separator:afcc1c3a20bd2860e0ddd21674389246f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9c2cba04b6d7ace4fc2a2436b82a5a63"><td class="memItemLeft" align="right" valign="top">virtual unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a> () const =0</td></tr> |
| <tr class="memdesc:a9c2cba04b6d7ace4fc2a2436b82a5a63"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of connectable input slots. <a href="classarmnn_1_1_i_connectable_layer.html#a9c2cba04b6d7ace4fc2a2436b82a5a63">More...</a><br /></td></tr> |
| <tr class="separator:a9c2cba04b6d7ace4fc2a2436b82a5a63"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac2dac3b61c94de52093616be4ab17f8d"><td class="memItemLeft" align="right" valign="top">virtual unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a> () const =0</td></tr> |
| <tr class="memdesc:ac2dac3b61c94de52093616be4ab17f8d"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of connectable output slots. <a href="classarmnn_1_1_i_connectable_layer.html#ac2dac3b61c94de52093616be4ab17f8d">More...</a><br /></td></tr> |
| <tr class="separator:ac2dac3b61c94de52093616be4ab17f8d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6ec9e0eb66d7d6a01240492a0b18104c"><td class="memItemLeft" align="right" valign="top">virtual const <a class="el" href="classarmnn_1_1_i_input_slot.html">IInputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a> (unsigned int index) const =0</td></tr> |
| <tr class="memdesc:a6ec9e0eb66d7d6a01240492a0b18104c"><td class="mdescLeft"> </td><td class="mdescRight">Get a const input slot handle by slot index. <a href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">More...</a><br /></td></tr> |
| <tr class="separator:a6ec9e0eb66d7d6a01240492a0b18104c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae3fd4f909aec6a9e150ba82dfad4017f"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_i_input_slot.html">IInputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#ae3fd4f909aec6a9e150ba82dfad4017f">GetInputSlot</a> (unsigned int index)=0</td></tr> |
| <tr class="memdesc:ae3fd4f909aec6a9e150ba82dfad4017f"><td class="mdescLeft"> </td><td class="mdescRight">Get the input slot handle by slot index. <a href="classarmnn_1_1_i_connectable_layer.html#ae3fd4f909aec6a9e150ba82dfad4017f">More...</a><br /></td></tr> |
| <tr class="separator:ae3fd4f909aec6a9e150ba82dfad4017f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a80ac4eda2e7f2757ec9dd96fc96dbd16"><td class="memItemLeft" align="right" valign="top">virtual const <a class="el" href="classarmnn_1_1_i_output_slot.html">IOutputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a> (unsigned int index) const =0</td></tr> |
| <tr class="memdesc:a80ac4eda2e7f2757ec9dd96fc96dbd16"><td class="mdescLeft"> </td><td class="mdescRight">Get the const output slot handle by slot index. <a href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">More...</a><br /></td></tr> |
| <tr class="separator:a80ac4eda2e7f2757ec9dd96fc96dbd16"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a75bfde3503c1b21c397bb095f55db990"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_i_output_slot.html">IOutputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#a75bfde3503c1b21c397bb095f55db990">GetOutputSlot</a> (unsigned int index)=0</td></tr> |
| <tr class="memdesc:a75bfde3503c1b21c397bb095f55db990"><td class="mdescLeft"> </td><td class="mdescRight">Get the output slot handle by slot index. <a href="classarmnn_1_1_i_connectable_layer.html#a75bfde3503c1b21c397bb095f55db990">More...</a><br /></td></tr> |
| <tr class="separator:a75bfde3503c1b21c397bb095f55db990"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa6e3c075c888e7c16942a468a3aae33c"><td class="memItemLeft" align="right" valign="top">virtual 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_i_connectable_layer.html#aa6e3c075c888e7c16942a468a3aae33c">InferOutputShapes</a> (const std::vector< <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> > &inputShapes) const =0</td></tr> |
| <tr class="memdesc:aa6e3c075c888e7c16942a468a3aae33c"><td class="mdescLeft"> </td><td class="mdescRight">Infer the shape of the output(s) based on the provided input shape(s) <a href="classarmnn_1_1_i_connectable_layer.html#aa6e3c075c888e7c16942a468a3aae33c">More...</a><br /></td></tr> |
| <tr class="separator:aa6e3c075c888e7c16942a468a3aae33c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:afb5e65c770f6cee222db8af7581541a6"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="_types_8hpp.html#af22094b802160f09f7c89ad9eee10084">LayerGuid</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#afb5e65c770f6cee222db8af7581541a6">GetGuid</a> () const =0</td></tr> |
| <tr class="memdesc:afb5e65c770f6cee222db8af7581541a6"><td class="mdescLeft"> </td><td class="mdescRight">Returns the unique id of the layer. <a href="classarmnn_1_1_i_connectable_layer.html#afb5e65c770f6cee222db8af7581541a6">More...</a><br /></td></tr> |
| <tr class="separator:afb5e65c770f6cee222db8af7581541a6"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a52799628c0df0037c4708de02bec7185"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#a52799628c0df0037c4708de02bec7185">ExecuteStrategy</a> (<a class="el" href="classarmnn_1_1_i_strategy.html">IStrategy</a> &strategy) const =0</td></tr> |
| <tr class="memdesc:a52799628c0df0037c4708de02bec7185"><td class="mdescLeft"> </td><td class="mdescRight">Apply a visitor to this layer. <a href="classarmnn_1_1_i_connectable_layer.html#a52799628c0df0037c4708de02bec7185">More...</a><br /></td></tr> |
| <tr class="separator:a52799628c0df0037c4708de02bec7185"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a833170f92e96b3ef414b6cf6e5720d2b"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#a833170f92e96b3ef414b6cf6e5720d2b">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)=0</td></tr> |
| <tr class="memdesc:a833170f92e96b3ef414b6cf6e5720d2b"><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_i_connectable_layer.html#a833170f92e96b3ef414b6cf6e5720d2b">More...</a><br /></td></tr> |
| <tr class="separator:a833170f92e96b3ef414b6cf6e5720d2b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:adceb04ae84c524e4d01881e3754a4d59"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#adceb04ae84c524e4d01881e3754a4d59">GetType</a> () const =0</td></tr> |
| <tr class="memdesc:adceb04ae84c524e4d01881e3754a4d59"><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_i_connectable_layer.html#adceb04ae84c524e4d01881e3754a4d59">More...</a><br /></td></tr> |
| <tr class="separator:adceb04ae84c524e4d01881e3754a4d59"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7ce723f9ed0cba4430ec1fc11daa4ce9"><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_i_connectable_layer.html#a7ce723f9ed0cba4430ec1fc11daa4ce9">GetParameters</a> () const =0</td></tr> |
| <tr class="memdesc:a7ce723f9ed0cba4430ec1fc11daa4ce9"><td class="mdescLeft"> </td><td class="mdescRight">If the layer has a descriptor return it. <a href="classarmnn_1_1_i_connectable_layer.html#a7ce723f9ed0cba4430ec1fc11daa4ce9">More...</a><br /></td></tr> |
| <tr class="separator:a7ce723f9ed0cba4430ec1fc11daa4ce9"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a99cc75f524d831824c5f3730a88e9ca3"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#a99cc75f524d831824c5f3730a88e9ca3">SetBackendId</a> (const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> &id)=0</td></tr> |
| <tr class="memdesc:a99cc75f524d831824c5f3730a88e9ca3"><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_i_connectable_layer.html#a99cc75f524d831824c5f3730a88e9ca3">More...</a><br /></td></tr> |
| <tr class="separator:a99cc75f524d831824c5f3730a88e9ca3"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4c2ceb86756bf870d10a9ebe6fe8e14e"><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_i_connectable_layer.html#a4c2ceb86756bf870d10a9ebe6fe8e14e">GetConstantTensorsByRef</a> ()=0</td></tr> |
| <tr class="separator:a4c2ceb86756bf870d10a9ebe6fe8e14e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae8ffb1cf9a5990f7c2ab50d160d4e70c"><td class="memItemLeft" align="right" valign="top">virtual <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_i_connectable_layer.html#ae8ffb1cf9a5990f7c2ab50d160d4e70c">GetConstantTensorsByRef</a> () const =0</td></tr> |
| <tr class="separator:ae8ffb1cf9a5990f7c2ab50d160d4e70c"><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:a8c7faf37c1d965431aaa02ae934d67ee"><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"><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"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </p> |
| <dl class="section examples"><dt>Examples</dt><dd><a class="el" href="_async_execution_sample_8cpp-example.html#_a9">AsyncExecutionSample.cpp</a>, <a class="el" href="_custom_memory_allocator_sample_8cpp-example.html#_a15">CustomMemoryAllocatorSample.cpp</a>, <a class="el" href="_dynamic_sample_8cpp-example.html#_a2">DynamicSample.cpp</a>, and <a class="el" href="_simple_sample_8cpp-example.html#_a9">SimpleSample.cpp</a>.</dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_i_network_8hpp_source.html#l00080">80</a> of file <a class="el" href="_i_network_8hpp_source.html">INetwork.hpp</a>.</p> |
| </div><h2 class="groupheader">Member Typedef Documentation</h2> |
| <a id="af978f897fb7e115a901cb7ed95f8e532"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#af978f897fb7e115a901cb7ed95f8e532">◆ </a></span>ConstantTensors</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">using <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> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_i_network_8hpp_source.html#l00136">136</a> of file <a class="el" href="_i_network_8hpp_source.html">INetwork.hpp</a>.</p> |
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| </div> |
| </div> |
| <a id="aba5c20cadbebd2e7ba67e20a47e31472"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aba5c20cadbebd2e7ba67e20a47e31472">◆ </a></span>ImmutableConstantTensors</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">using <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> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_i_network_8hpp_source.html#l00141">141</a> of file <a class="el" href="_i_network_8hpp_source.html">INetwork.hpp</a>.</p> |
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| </div> |
| </div> |
| <h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="a8c7faf37c1d965431aaa02ae934d67ee"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a8c7faf37c1d965431aaa02ae934d67ee">◆ </a></span>~IConnectableLayer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">~<a class="el" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</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">inline</span><span class="mlabel">protected</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Objects are not deletable via the handle. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_i_network_8hpp_source.html#l00148">148</a> of file <a class="el" href="_i_network_8hpp_source.html">INetwork.hpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> {}</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a833170f92e96b3ef414b6cf6e5720d2b"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a833170f92e96b3ef414b6cf6e5720d2b">◆ </a></span>BackendSelectionHint()</h2> |
| |
| <div class="memitem"> |
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| <td class="memname">virtual void BackendSelectionHint </td> |
| <td>(</td> |
| <td class="paramtype"><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="paramname"><em>backend</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Provide a hint for the optimizer as to which backend to prefer for this layer. </p> |
| <p>By providing a BackendSelectionHint there is no guarantee the input backend supports that layer. If <a class="el" href="namespacearmnn.html#a138ca3929b888fa8d9088c076e9de48c">IsLayerSupported()</a> returns false with the backend hint, we default to calling <a class="el" href="namespacearmnn.html#a138ca3929b888fa8d9088c076e9de48c">IsLayerSupported()</a> on the BackendPreferences vector. Use <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a99cc75f524d831824c5f3730a88e9ca3" title="Set the backend of the IConnectableLayer.">SetBackendId()</a> if we can guarantee a backend supports that layer (IsLayerSupported returns true for a specific backend). </p> |
| |
| <p>Implemented in <a class="el" href="classarmnn_1_1_layer.html#a43a46eafee5c08787ab17b4342730c20">Layer</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a52799628c0df0037c4708de02bec7185"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a52799628c0df0037c4708de02bec7185">◆ </a></span>ExecuteStrategy()</h2> |
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| <td class="mlabels-left"> |
| <table class="memname"> |
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| <td class="memname">virtual 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> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Apply a visitor to this layer. </p> |
| |
| <p>Implemented in <a class="el" href="classarmnn_1_1_bindable_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">BindableLayer</a>, <a class="el" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a>, <a class="el" href="classarmnn_1_1_q_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">QLstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_permute_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">PermuteLayer</a>, <a class="el" href="classarmnn_1_1_transpose_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">TransposeLayer</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< Parameters ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< SoftmaxDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< FakeQuantizationDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< ReduceDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< LstmDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< ChannelShuffleDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< LogSoftmaxDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< PreCompiledDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< SpaceToBatchNdDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< BatchToSpaceNdDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< PermuteDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< GatherDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< ElementwiseUnaryDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< DepthToSpaceDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< OriginsDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< SpaceToDepthDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< ReshapeDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< ViewsDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< Pooling2dDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< Convolution2dDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< ActivationDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< StandInDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< MeanDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< StackDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< TransposeDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< InstanceNormalizationDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< ComparisonDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< TransposeConvolution2dDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< BroadcastToDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< BatchNormalizationDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< FusedDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< BatchMatMulDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< TileDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< ArgMinMaxDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< LogicalBinaryDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< DetectionPostProcessDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< PadDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< L2NormalizationDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< Convolution3dDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< SliceDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< QLstmDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< FillDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< DepthwiseConvolution2dDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< NormalizationDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< FullyConnectedDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< ScatterNdDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< ResizeDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< Pooling3dDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< ElementwiseBinaryDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< StridedSliceDescriptor ></a>, <a class="el" href="classarmnn_1_1_reshape_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ReshapeLayer</a>, <a class="el" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">UnidirectionalSequenceLstmLayer</a>, <a class="el" href="classarmnn_1_1_concat_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConcatLayer</a>, <a class="el" href="classarmnn_1_1_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LstmLayer</a>, <a class="el" href="classarmnn_1_1_splitter_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SplitterLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_detection_post_process_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DetectionPostProcessLayer</a>, <a class="el" href="classarmnn_1_1_output_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">OutputLayer</a>, <a class="el" href="classarmnn_1_1_batch_normalization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">BatchNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConstantLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_convolution3d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Convolution3dLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_comparison_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ComparisonLayer</a>, <a class="el" href="classarmnn_1_1_depth_to_space_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DepthToSpaceLayer</a>, <a class="el" href="classarmnn_1_1_logical_binary_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LogicalBinaryLayer</a>, <a class="el" href="classarmnn_1_1_mean_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MeanLayer</a>, <a class="el" href="classarmnn_1_1_pad_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">PadLayer</a>, <a class="el" href="classarmnn_1_1_prelu_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">PreluLayer</a>, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SpaceToBatchNdLayer</a>, <a class="el" href="classarmnn_1_1_space_to_depth_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SpaceToDepthLayer</a>, <a class="el" href="classarmnn_1_1_stand_in_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">StandInLayer</a>, <a class="el" href="classarmnn_1_1_arg_min_max_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ArgMinMaxLayer</a>, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">BatchToSpaceNdLayer</a>, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ElementwiseUnaryLayer</a>, <a class="el" href="classarmnn_1_1_gather_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">GatherLayer</a>, <a class="el" href="classarmnn_1_1_pooling2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Pooling2dLayer</a>, <a class="el" href="classarmnn_1_1_pooling3d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Pooling3dLayer</a>, <a class="el" href="classarmnn_1_1_reduce_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ReduceLayer</a>, <a class="el" href="classarmnn_1_1_resize_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ResizeLayer</a>, <a class="el" href="classarmnn_1_1_reverse_v2_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ReverseV2Layer</a>, <a class="el" href="classarmnn_1_1_shape_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ShapeLayer</a>, <a class="el" href="classarmnn_1_1_slice_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SliceLayer</a>, <a class="el" href="classarmnn_1_1_stack_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">StackLayer</a>, <a class="el" href="classarmnn_1_1_strided_slice_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">StridedSliceLayer</a>, <a class="el" href="classarmnn_1_1_broadcast_to_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">BroadcastToLayer</a>, <a class="el" href="classarmnn_1_1_elementwise_binary_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ElementwiseBinaryLayer</a>, <a class="el" href="classarmnn_1_1_merge_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MergeLayer</a>, <a class="el" href="classarmnn_1_1_pre_compiled_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">PreCompiledLayer</a>, <a class="el" href="classarmnn_1_1_rank_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">RankLayer</a>, <a class="el" href="classarmnn_1_1_fake_quantization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FakeQuantizationLayer</a>, <a class="el" href="classarmnn_1_1_log_softmax_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LogSoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_abs_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">AbsLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp16_to_fp32_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConvertFp16ToFp32Layer</a>, <a class="el" href="classarmnn_1_1_debug_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DebugLayer</a>, <a class="el" href="classarmnn_1_1_dequantize_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DequantizeLayer</a>, <a class="el" href="classarmnn_1_1_floor_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FloorLayer</a>, <a class="el" href="classarmnn_1_1_fused_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FusedLayer</a>, <a class="el" href="classarmnn_1_1_input_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">InputLayer</a>, <a class="el" href="classarmnn_1_1_instance_normalization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">InstanceNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_l2_normalization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">L2NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_map_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MapLayer</a>, <a class="el" href="classarmnn_1_1_mem_copy_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MemCopyLayer</a>, <a class="el" href="classarmnn_1_1_mem_import_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MemImportLayer</a>, <a class="el" href="classarmnn_1_1_normalization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_rsqrt_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">RsqrtLayer</a>, <a class="el" href="classarmnn_1_1_softmax_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_switch_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SwitchLayer</a>, <a class="el" href="classarmnn_1_1_unmap_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">UnmapLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp32_to_fp16_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConvertFp32ToFp16Layer</a>, <a class="el" href="classarmnn_1_1_elementwise_base_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ElementwiseBaseLayer</a>, <a class="el" href="classarmnn_1_1_fill_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FillLayer</a>, <a class="el" href="classarmnn_1_1_activation_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ActivationLayer</a>, <a class="el" href="classarmnn_1_1_division_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DivisionLayer</a>, <a class="el" href="classarmnn_1_1_maximum_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MaximumLayer</a>, <a class="el" href="classarmnn_1_1_minimum_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MinimumLayer</a>, <a class="el" href="classarmnn_1_1_multiplication_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MultiplicationLayer</a>, <a class="el" href="classarmnn_1_1_subtraction_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SubtractionLayer</a>, <a class="el" href="classarmnn_1_1_addition_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">AdditionLayer</a>, and <a class="el" href="classarmnn_1_1_quantize_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">QuantizeLayer</a>.</p> |
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| </div> |
| </div> |
| <a id="ae8ffb1cf9a5990f7c2ab50d160d4e70c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ae8ffb1cf9a5990f7c2ab50d160d4e70c">◆ </a></span>GetConstantTensorsByRef() <span class="overload">[1/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">virtual <a class="el" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">ImmutableConstantTensors</a> GetConstantTensorsByRef </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Implemented in <a class="el" href="classarmnn_1_1_layer.html#a45544992c89527fa4d51498a91401640">Layer</a>, <a class="el" href="classarmnn_1_1_q_lstm_layer.html#a29cc31172f6ab16ac931f90c667c092d">QLstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.html#a29cc31172f6ab16ac931f90c667c092d">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a29cc31172f6ab16ac931f90c667c092d">UnidirectionalSequenceLstmLayer</a>, <a class="el" href="classarmnn_1_1_lstm_layer.html#a29cc31172f6ab16ac931f90c667c092d">LstmLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.html#a29cc31172f6ab16ac931f90c667c092d">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a29cc31172f6ab16ac931f90c667c092d">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.html#a77123f40f710742ae19674ce628300bf">ConstantLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.html#a29cc31172f6ab16ac931f90c667c092d">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html#a29cc31172f6ab16ac931f90c667c092d">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_detection_post_process_layer.html#a29cc31172f6ab16ac931f90c667c092d">DetectionPostProcessLayer</a>, and <a class="el" href="classarmnn_1_1_batch_normalization_layer.html#a29cc31172f6ab16ac931f90c667c092d">BatchNormalizationLayer</a>.</p> |
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| </div> |
| </div> |
| <a id="a4c2ceb86756bf870d10a9ebe6fe8e14e"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a4c2ceb86756bf870d10a9ebe6fe8e14e">◆ </a></span>GetConstantTensorsByRef() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">virtual <a class="el" href="classarmnn_1_1_i_connectable_layer.html#af978f897fb7e115a901cb7ed95f8e532">ConstantTensors</a> GetConstantTensorsByRef </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Implemented in <a class="el" href="classarmnn_1_1_layer.html#a9114de666bc2d910faa846b04fc26974">Layer</a>.</p> |
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| </div> |
| </div> |
| <a id="afb5e65c770f6cee222db8af7581541a6"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#afb5e65c770f6cee222db8af7581541a6">◆ </a></span>GetGuid()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">virtual <a class="el" href="_types_8hpp.html#af22094b802160f09f7c89ad9eee10084">LayerGuid</a> GetGuid </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Returns the unique id of the layer. </p> |
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| <p>Implemented in <a class="el" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">Layer</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_range_tracker_8cpp_source.html#l00012">RangeTracker::SetRange()</a>.</p> |
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| </div> |
| </div> |
| <a id="a6ec9e0eb66d7d6a01240492a0b18104c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a6ec9e0eb66d7d6a01240492a0b18104c">◆ </a></span>GetInputSlot() <span class="overload">[1/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">virtual const <a class="el" href="classarmnn_1_1_i_input_slot.html">IInputSlot</a>& GetInputSlot </td> |
| <td>(</td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>index</em></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Get a const input slot handle by slot index. </p> |
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| <p>Implemented in <a class="el" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">Layer</a>.</p> |
| <dl class="section examples"><dt>Examples</dt><dd><a class="el" href="_async_execution_sample_8cpp-example.html#a15">AsyncExecutionSample.cpp</a>, <a class="el" href="_custom_memory_allocator_sample_8cpp-example.html#a18">CustomMemoryAllocatorSample.cpp</a>, <a class="el" href="_dynamic_sample_8cpp-example.html#a6">DynamicSample.cpp</a>, and <a class="el" href="_simple_sample_8cpp-example.html#a15">SimpleSample.cpp</a>.</dd> |
| </dl> |
| |
| <p class="reference">Referenced by <a class="el" href="_test_utils_8cpp_source.html#l00014">Connect()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00392">armnn_driver::ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00520">armnn_driver::ConvertReduce()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00604">armnn_driver::ConvertToActivation()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l01064">armnn_driver::IsConnectedToDequantize()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00906">armnn_driver::ProcessActivation()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00987">armnn_driver::SetupAndTrackLayerOutputSlot()</a>.</p> |
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| </div> |
| </div> |
| <a id="ae3fd4f909aec6a9e150ba82dfad4017f"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ae3fd4f909aec6a9e150ba82dfad4017f">◆ </a></span>GetInputSlot() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">virtual <a class="el" href="classarmnn_1_1_i_input_slot.html">IInputSlot</a>& GetInputSlot </td> |
| <td>(</td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>index</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Get the input slot handle by slot index. </p> |
| |
| <p>Implemented in <a class="el" href="classarmnn_1_1_layer.html#a1b50eb1358cdf382f4bc3fc8849f8e8e">Layer</a>.</p> |
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| </div> |
| </div> |
| <a id="afcc1c3a20bd2860e0ddd21674389246f"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#afcc1c3a20bd2860e0ddd21674389246f">◆ </a></span>GetName()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">virtual const char* GetName </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Returns the name of the layer. </p> |
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| <p>Implemented in <a class="el" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">Layer</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_test_utils_8cpp_source.html#l00014">Connect()</a>, and <a class="el" href="_serializer_8cpp_source.html#l02074">SerializerStrategy::ExecuteStrategy()</a>.</p> |
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| </div> |
| </div> |
| <a id="a9c2cba04b6d7ace4fc2a2436b82a5a63"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a9c2cba04b6d7ace4fc2a2436b82a5a63">◆ </a></span>GetNumInputSlots()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
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| <td class="memname">virtual unsigned int GetNumInputSlots </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Returns the number of connectable input slots. </p> |
| |
| <p>Implemented in <a class="el" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">Layer</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00987">armnn_driver::SetupAndTrackLayerOutputSlot()</a>.</p> |
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| </div> |
| </div> |
| <a id="ac2dac3b61c94de52093616be4ab17f8d"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ac2dac3b61c94de52093616be4ab17f8d">◆ </a></span>GetNumOutputSlots()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">virtual unsigned int GetNumOutputSlots </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Returns the number of connectable output slots. </p> |
| |
| <p>Implemented in <a class="el" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">Layer</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_subgraph_view_8cpp_source.html#l00396">SubgraphView::GetWorkingCopy()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00906">armnn_driver::ProcessActivation()</a>, <a class="el" href="_range_tracker_8cpp_source.html#l00012">RangeTracker::SetRange()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00987">armnn_driver::SetupAndTrackLayerOutputSlot()</a>.</p> |
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| </div> |
| </div> |
| <a id="a80ac4eda2e7f2757ec9dd96fc96dbd16"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a80ac4eda2e7f2757ec9dd96fc96dbd16">◆ </a></span>GetOutputSlot() <span class="overload">[1/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">virtual const <a class="el" href="classarmnn_1_1_i_output_slot.html">IOutputSlot</a>& GetOutputSlot </td> |
| <td>(</td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>index</em></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Get the const output slot handle by slot index. </p> |
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| <p>Implemented in <a class="el" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">Layer</a>.</p> |
| <dl class="section examples"><dt>Examples</dt><dd><a class="el" href="_async_execution_sample_8cpp-example.html#a16">AsyncExecutionSample.cpp</a>, <a class="el" href="_custom_memory_allocator_sample_8cpp-example.html#a16">CustomMemoryAllocatorSample.cpp</a>, <a class="el" href="_dynamic_sample_8cpp-example.html#a4">DynamicSample.cpp</a>, and <a class="el" href="_simple_sample_8cpp-example.html#a16">SimpleSample.cpp</a>.</dd> |
| </dl> |
| |
| <p class="reference">Referenced by <a class="el" href="_test_utils_8cpp_source.html#l00014">Connect()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00216">armnn_driver::ConvertToLayerInputHandle()</a>, <a class="el" href="_subgraph_view_8cpp_source.html#l00396">SubgraphView::GetWorkingCopy()</a>, <a class="el" href="_tosa_ref_backend_8cpp_source.html#l00082">TosaRefBackend::OptimizeSubgraphView()</a>, <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00220">GpuFsaBackend::OptimizeSubgraphView()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00906">armnn_driver::ProcessActivation()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00987">armnn_driver::SetupAndTrackLayerOutputSlot()</a>.</p> |
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| </div> |
| <a id="a75bfde3503c1b21c397bb095f55db990"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a75bfde3503c1b21c397bb095f55db990">◆ </a></span>GetOutputSlot() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
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| <td class="memname">virtual <a class="el" href="classarmnn_1_1_i_output_slot.html">IOutputSlot</a>& GetOutputSlot </td> |
| <td>(</td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>index</em></td><td>)</td> |
| <td></td> |
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| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
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| <p>Get the output slot handle by slot index. </p> |
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| <p>Implemented in <a class="el" href="classarmnn_1_1_layer.html#abbd71844785bb2f00a81baca30ea5ff0">Layer</a>.</p> |
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| </div> |
| </div> |
| <a id="a7ce723f9ed0cba4430ec1fc11daa4ce9"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a7ce723f9ed0cba4430ec1fc11daa4ce9">◆ </a></span>GetParameters()</h2> |
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| <td class="memname">virtual const <a class="el" href="structarmnn_1_1_base_descriptor.html">BaseDescriptor</a>& GetParameters </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
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| <p>If the layer has a descriptor return it. </p> |
| <p>The base descriptor can then be cast to the correct descriptor class. If the layer has no associated descriptor a struct of type <a class="el" href="structarmnn_1_1_null_descriptor.html" title="Null Descriptor used as a return value from the IConnectableLayer GetParameters method by layers whic...">NullDescriptor</a> will be returned. Note: NullDescriptors can be detected because they return true when the <a class="el" href="structarmnn_1_1_base_descriptor.html" title="Base class for all descriptors.">BaseDescriptor</a> IsNull function is invoked. </p> |
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| <p>Implemented in <a class="el" href="classarmnn_1_1_layer.html#a94a487f29157eeec10e2f9a372487bcc">Layer</a>, and <a class="el" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">LayerWithParameters< Parameters ></a>.</p> |
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| </div> |
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| <a id="adceb04ae84c524e4d01881e3754a4d59"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#adceb04ae84c524e4d01881e3754a4d59">◆ </a></span>GetType()</h2> |
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| <td class="memname">virtual <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> GetType </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
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| <p>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. </p> |
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| <p>Implemented in <a class="el" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">Layer</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_test_utils_8cpp_source.html#l00014">Connect()</a>, <a class="el" href="_serializer_8cpp_source.html#l02074">SerializerStrategy::ExecuteStrategy()</a>, <a class="el" href="_strategy_base_8hpp_source.html#l00033">StrategyBase< DefaultStrategy >::ExecuteStrategy()</a>, <a class="el" href="_subgraph_view_8cpp_source.html#l00396">SubgraphView::GetWorkingCopy()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l01064">armnn_driver::IsConnectedToDequantize()</a>.</p> |
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| <a id="aa6e3c075c888e7c16942a468a3aae33c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aa6e3c075c888e7c16942a468a3aae33c">◆ </a></span>InferOutputShapes()</h2> |
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| <td class="memname">virtual 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> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
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| <p>Infer the shape of the output(s) based on the provided input shape(s) </p> |
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| <p>Implemented in <a class="el" href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">Layer</a>, <a class="el" href="classarmnn_1_1_q_lstm_layer.html#a65ca562c882ad619684445a1402f415a">QLstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.html#a65ca562c882ad619684445a1402f415a">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_concat_layer.html#a65ca562c882ad619684445a1402f415a">ConcatLayer</a>, <a class="el" href="classarmnn_1_1_lstm_layer.html#a65ca562c882ad619684445a1402f415a">LstmLayer</a>, <a class="el" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a65ca562c882ad619684445a1402f415a">UnidirectionalSequenceLstmLayer</a>, <a class="el" href="classarmnn_1_1_splitter_layer.html#a65ca562c882ad619684445a1402f415a">SplitterLayer</a>, <a class="el" href="classarmnn_1_1_detection_post_process_layer.html#a65ca562c882ad619684445a1402f415a">DetectionPostProcessLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_convolution3d_layer.html#a65ca562c882ad619684445a1402f415a">Convolution3dLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.html#a65ca562c882ad619684445a1402f415a">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.html#a65ca562c882ad619684445a1402f415a">ConstantLayer</a>, <a class="el" href="classarmnn_1_1_reshape_layer.html#a65ca562c882ad619684445a1402f415a">ReshapeLayer</a>, <a class="el" href="classarmnn_1_1_mean_layer.html#a65ca562c882ad619684445a1402f415a">MeanLayer</a>, <a class="el" href="classarmnn_1_1_pad_layer.html#a65ca562c882ad619684445a1402f415a">PadLayer</a>, <a class="el" href="classarmnn_1_1_stand_in_layer.html#a65ca562c882ad619684445a1402f415a">StandInLayer</a>, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.html#a65ca562c882ad619684445a1402f415a">BatchToSpaceNdLayer</a>, <a class="el" href="classarmnn_1_1_permute_layer.html#a65ca562c882ad619684445a1402f415a">PermuteLayer</a>, <a class="el" href="classarmnn_1_1_pooling2d_layer.html#a65ca562c882ad619684445a1402f415a">Pooling2dLayer</a>, <a class="el" href="classarmnn_1_1_pooling3d_layer.html#a65ca562c882ad619684445a1402f415a">Pooling3dLayer</a>, <a class="el" href="classarmnn_1_1_resize_layer.html#a65ca562c882ad619684445a1402f415a">ResizeLayer</a>, <a class="el" href="classarmnn_1_1_shape_layer.html#a65ca562c882ad619684445a1402f415a">ShapeLayer</a>, <a class="el" href="classarmnn_1_1_slice_layer.html#a65ca562c882ad619684445a1402f415a">SliceLayer</a>, <a class="el" href="classarmnn_1_1_stack_layer.html#a65ca562c882ad619684445a1402f415a">StackLayer</a>, <a class="el" href="classarmnn_1_1_merge_layer.html#a65ca562c882ad619684445a1402f415a">MergeLayer</a>, <a class="el" href="classarmnn_1_1_rank_layer.html#a65ca562c882ad619684445a1402f415a">RankLayer</a>, <a class="el" href="classarmnn_1_1_transpose_layer.html#a65ca562c882ad619684445a1402f415a">TransposeLayer</a>, <a class="el" href="classarmnn_1_1_comparison_layer.html#a65ca562c882ad619684445a1402f415a">ComparisonLayer</a>, <a class="el" href="classarmnn_1_1_depth_to_space_layer.html#a65ca562c882ad619684445a1402f415a">DepthToSpaceLayer</a>, <a class="el" href="classarmnn_1_1_logical_binary_layer.html#a65ca562c882ad619684445a1402f415a">LogicalBinaryLayer</a>, <a class="el" href="classarmnn_1_1_prelu_layer.html#a65ca562c882ad619684445a1402f415a">PreluLayer</a>, <a class="el" href="classarmnn_1_1_reduce_layer.html#a65ca562c882ad619684445a1402f415a">ReduceLayer</a>, <a class="el" href="classarmnn_1_1_reverse_v2_layer.html#a65ca562c882ad619684445a1402f415a">ReverseV2Layer</a>, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.html#a65ca562c882ad619684445a1402f415a">SpaceToBatchNdLayer</a>, <a class="el" href="classarmnn_1_1_space_to_depth_layer.html#a65ca562c882ad619684445a1402f415a">SpaceToDepthLayer</a>, <a class="el" href="classarmnn_1_1_arg_min_max_layer.html#a65ca562c882ad619684445a1402f415a">ArgMinMaxLayer</a>, <a class="el" href="classarmnn_1_1_elementwise_binary_layer.html#a65ca562c882ad619684445a1402f415a">ElementwiseBinaryLayer</a>, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.html#a65ca562c882ad619684445a1402f415a">ElementwiseUnaryLayer</a>, <a class="el" href="classarmnn_1_1_gather_layer.html#a65ca562c882ad619684445a1402f415a">GatherLayer</a>, <a class="el" href="classarmnn_1_1_strided_slice_layer.html#a65ca562c882ad619684445a1402f415a">StridedSliceLayer</a>, <a class="el" href="classarmnn_1_1_batch_mat_mul_layer.html#a65ca562c882ad619684445a1402f415a">BatchMatMulLayer</a>, <a class="el" href="classarmnn_1_1_gather_nd_layer.html#a65ca562c882ad619684445a1402f415a">GatherNdLayer</a>, <a class="el" href="classarmnn_1_1_scatter_nd_layer.html#a65ca562c882ad619684445a1402f415a">ScatterNdLayer</a>, <a class="el" href="classarmnn_1_1_tile_layer.html#a65ca562c882ad619684445a1402f415a">TileLayer</a>, <a class="el" href="classarmnn_1_1_broadcast_to_layer.html#a65ca562c882ad619684445a1402f415a">BroadcastToLayer</a>, and <a class="el" href="classarmnn_1_1_elementwise_base_layer.html#a65ca562c882ad619684445a1402f415a">ElementwiseBaseLayer</a>.</p> |
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| <a id="a99cc75f524d831824c5f3730a88e9ca3"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a99cc75f524d831824c5f3730a88e9ca3">◆ </a></span>SetBackendId()</h2> |
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| <td class="memname">virtual void SetBackendId </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> & </td> |
| <td class="paramname"><em>id</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
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| <p>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>. </p> |
| <p>By using <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a99cc75f524d831824c5f3730a88e9ca3" title="Set the backend of the IConnectableLayer.">SetBackendId()</a> we guarantee that the input backend supports that layer (IsLayerSupported returns true for a specific backend). If there is no guarantee the input backend supports that layer use <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a833170f92e96b3ef414b6cf6e5720d2b" title="Provide a hint for the optimizer as to which backend to prefer for this layer.">BackendSelectionHint()</a>. </p> |
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| <p>Implemented in <a class="el" href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">Layer</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00392">armnn_driver::ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00520">armnn_driver::ConvertReduce()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00604">armnn_driver::ConvertToActivation()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00216">armnn_driver::ConvertToLayerInputHandle()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00906">armnn_driver::ProcessActivation()</a>.</p> |
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| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following file:<ul> |
| <li>include/armnn/<a class="el" href="_i_network_8hpp_source.html">INetwork.hpp</a></li> |
| </ul> |
| </div><!-- contents --> |
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