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| <a href="#pub-methods">Public Member Functions</a> | |
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| <p>This layer represents a QuantizedLstm operation. |
| <a href="classarmnn_1_1_quantized_lstm_layer.html#details">More...</a></p> |
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| <p><code>#include <<a class="el" href="_quantized_lstm_layer_8hpp_source.html">QuantizedLstmLayer.hpp</a>></code></p> |
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| Inheritance diagram for QuantizedLstmLayer:</div> |
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| Collaboration diagram for QuantizedLstmLayer:</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_quantized_lstm_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 QuantizedLstm type. <a href="classarmnn_1_1_quantized_lstm_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">More...</a><br /></td></tr> |
| <tr class="separator:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a08edea9423b6da5da174ce5269f6e28b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_quantized_lstm_layer.html">QuantizedLstmLayer</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_quantized_lstm_layer.html#a08edea9423b6da5da174ce5269f6e28b">Clone</a> (<a class="el" href="classarmnn_1_1_graph.html">Graph</a> &graph) const override</td></tr> |
| <tr class="memdesc:a08edea9423b6da5da174ce5269f6e28b"><td class="mdescLeft"> </td><td class="mdescRight">Creates a dynamically-allocated copy of this layer. <a href="classarmnn_1_1_quantized_lstm_layer.html#a08edea9423b6da5da174ce5269f6e28b">More...</a><br /></td></tr> |
| <tr class="separator:a08edea9423b6da5da174ce5269f6e28b"><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_quantized_lstm_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_quantized_lstm_layer.html">QuantizedLstmLayer</a>. <a href="classarmnn_1_1_quantized_lstm_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_quantized_lstm_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_quantized_lstm_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_quantized_lstm_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_quantized_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">More...</a><br /></td></tr> |
| <tr class="separator:a46fc3fdd4b2a5dd6d184e57983cf20bc"><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> |
| <tr class="separator:ad6f282c92535e2be398a9b350d4e2ee9 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:af5f530544d09a44d726f24702b67b35b inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="separator:a98cdff4e0b45f4c80bfcedaf926e16e0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
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| <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:ac04cd8de9b9185756eb02463ffd432b1 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#ac04cd8de9b9185756eb02463ffd432b1">SerializeLayerParameters</a> (<a class="el" href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a> &fn) const</td></tr> |
| <tr class="memdesc:ac04cd8de9b9185756eb02463ffd432b1 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft"> </td><td class="mdescRight">Helper to serialize the layer parameters to string. <a href="classarmnn_1_1_layer.html#ac04cd8de9b9185756eb02463ffd432b1">More...</a><br /></td></tr> |
| <tr class="separator:ac04cd8de9b9185756eb02463ffd432b1 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a339bef86bc340c3d1393ed83950fe8af 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#a339bef86bc340c3d1393ed83950fe8af">ReleaseConstantData</a> ()</td></tr> |
| <tr class="separator:a339bef86bc340c3d1393ed83950fe8af 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="pub-attribs"></a> |
| Public Attributes</h2></td></tr> |
| <tr class="memitem:ad3c37b52145c3cf1b4856c0df008a468"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_quantized_lstm_parameters.html">QuantizedLstmParameters</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a></td></tr> |
| <tr class="separator:ad3c37b52145c3cf1b4856c0df008a468"><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:a1e8a4f8777390120259787caa45d743a"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_quantized_lstm_layer.html#a1e8a4f8777390120259787caa45d743a">QuantizedLstmLayer</a> (const char *name)</td></tr> |
| <tr class="memdesc:a1e8a4f8777390120259787caa45d743a"><td class="mdescLeft"> </td><td class="mdescRight">Constructor to create a <a class="el" href="classarmnn_1_1_quantized_lstm_layer.html" title="This layer represents a QuantizedLstm operation.">QuantizedLstmLayer</a>. <a href="classarmnn_1_1_quantized_lstm_layer.html#a1e8a4f8777390120259787caa45d743a">More...</a><br /></td></tr> |
| <tr class="separator:a1e8a4f8777390120259787caa45d743a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7bb743f4f47ed214a8dce7d0da26fdff"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_quantized_lstm_layer.html#a7bb743f4f47ed214a8dce7d0da26fdff">~QuantizedLstmLayer</a> ()=default</td></tr> |
| <tr class="memdesc:a7bb743f4f47ed214a8dce7d0da26fdff"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="classarmnn_1_1_quantized_lstm_layer.html#a7bb743f4f47ed214a8dce7d0da26fdff">More...</a><br /></td></tr> |
| <tr class="separator:a7bb743f4f47ed214a8dce7d0da26fdff"><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">Layer::ImmutableConstantTensors</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_quantized_lstm_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 stored by the layer. <a href="classarmnn_1_1_quantized_lstm_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"><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_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"><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 QuantizedLstm operation. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00045">45</a> of file <a class="el" href="_quantized_lstm_layer_8hpp_source.html">QuantizedLstmLayer.hpp</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="a1e8a4f8777390120259787caa45d743a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a1e8a4f8777390120259787caa45d743a">◆ </a></span>QuantizedLstmLayer()</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_quantized_lstm_layer.html">QuantizedLstmLayer</a> </td> |
| <td>(</td> |
| <td class="paramtype">const char * </td> |
| <td class="paramname"><em>name</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">protected</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Constructor to create a <a class="el" href="classarmnn_1_1_quantized_lstm_layer.html" title="This layer represents a QuantizedLstm operation.">QuantizedLstmLayer</a>. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| |
| <p class="definition">Definition at line <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00017">17</a> of file <a class="el" href="_quantized_lstm_layer_8cpp_source.html">QuantizedLstmLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  : <a class="code" href="classarmnn_1_1_layer.html#a5e5ae420d199a0bccae5139d38c30205">Layer</a>(3, 2, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">LayerType::QuantizedLstm</a>, name)</div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::QuantizedLstm</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a7bb743f4f47ed214a8dce7d0da26fdff"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a7bb743f4f47ed214a8dce7d0da26fdff">◆ </a></span>~QuantizedLstmLayer()</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_quantized_lstm_layer.html">QuantizedLstmLayer</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> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Default destructor. </p> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a08edea9423b6da5da174ce5269f6e28b"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a08edea9423b6da5da174ce5269f6e28b">◆ </a></span>Clone()</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_quantized_lstm_layer.html">QuantizedLstmLayer</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> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| |
| <p>Implements <a class="el" href="classarmnn_1_1_layer.html#ae89ff455503aa106d00bf34103d2f2e0">Layer</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00047">47</a> of file <a class="el" href="_quantized_lstm_layer_8cpp_source.html">QuantizedLstmLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> {</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">auto</span> layer = CloneBase<QuantizedLstmLayer>(graph, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  </div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  layer->m_QuantizedLstmParameters.m_InputToInputWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> ?</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  layer->m_QuantizedLstmParameters.m_InputToForgetWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> ?</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  layer->m_QuantizedLstmParameters.m_InputToCellWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> ?</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  layer->m_QuantizedLstmParameters.m_InputToOutputWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> ?</div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <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>  layer->m_QuantizedLstmParameters.m_RecurrentToInputWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> ?</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  layer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a></div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  ? <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  layer->m_QuantizedLstmParameters.m_RecurrentToCellWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> ?</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  layer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a></div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  ? <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  </div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  layer->m_QuantizedLstmParameters.m_InputGateBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> ?</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  layer->m_QuantizedLstmParameters.m_ForgetGateBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> ?</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  layer->m_QuantizedLstmParameters.m_CellBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> ?</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  layer->m_QuantizedLstmParameters.m_OutputGateBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> ?</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> : <span class="keyword">nullptr</span>;</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="keywordflow">return</span> std::move(layer);</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00039">QuantizedLstmParameters::m_CellBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00037">QuantizedLstmParameters::m_ForgetGateBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00035">QuantizedLstmParameters::m_InputGateBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00021">QuantizedLstmParameters::m_InputToCellWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00019">QuantizedLstmParameters::m_InputToForgetWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00017">QuantizedLstmParameters::m_InputToInputWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00023">QuantizedLstmParameters::m_InputToOutputWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00041">QuantizedLstmParameters::m_OutputGateBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00049">QuantizedLstmLayer::m_QuantizedLstmParameters</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00030">QuantizedLstmParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00028">QuantizedLstmParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00026">QuantizedLstmParameters::m_RecurrentToInputWeights</a>, and <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00032">QuantizedLstmParameters::m_RecurrentToOutputWeights</a>.</p> |
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| </div> |
| </div> |
| <a id="adfa912d0c4c6c00f1af2cbfa799572b7"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#adfa912d0c4c6c00f1af2cbfa799572b7">◆ </a></span>CreateWorkload()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <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> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Makes a workload for the QuantizedLstm 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> |
| |
| <p>Implements <a class="el" href="classarmnn_1_1_layer.html#a08d1e10a45f15cd0bd02557be35a3864">Layer</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00022">22</a> of file <a class="el" href="_quantized_lstm_layer_8cpp_source.html">QuantizedLstmLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> {</div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  QuantizedLstmQueueDescriptor descriptor;</div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  </div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="comment">// QuantizedLstmLayer parameters - there are no optional params</span></div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  descriptor.m_InputToInputWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>.get();</div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  descriptor.m_InputToForgetWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>.get();</div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  descriptor.m_InputToCellWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>.get();</div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  descriptor.m_InputToOutputWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>.get();</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  </div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  descriptor.m_RecurrentToInputWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>.get();</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  descriptor.m_RecurrentToForgetWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>.get();</div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  descriptor.m_RecurrentToCellWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>.get();</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  descriptor.m_RecurrentToOutputWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>.get();</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  </div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  descriptor.m_InputGateBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>.get();</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  descriptor.m_ForgetGateBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>.get();</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  descriptor.m_CellBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>.get();</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  descriptor.m_OutputGateBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>.get();</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>  <a class="code" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  </div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordflow">return</span> factory.CreateWorkload(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">LayerType::QuantizedLstm</a>, descriptor, <a class="code" href="classarmnn_1_1_layer.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00039">QuantizedLstmParameters::m_CellBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00645">QuantizedLstmQueueDescriptor::m_CellBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00037">QuantizedLstmParameters::m_ForgetGateBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00644">QuantizedLstmQueueDescriptor::m_ForgetGateBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00035">QuantizedLstmParameters::m_InputGateBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00643">QuantizedLstmQueueDescriptor::m_InputGateBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00021">QuantizedLstmParameters::m_InputToCellWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00635">QuantizedLstmQueueDescriptor::m_InputToCellWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00019">QuantizedLstmParameters::m_InputToForgetWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00634">QuantizedLstmQueueDescriptor::m_InputToForgetWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00017">QuantizedLstmParameters::m_InputToInputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00633">QuantizedLstmQueueDescriptor::m_InputToInputWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00023">QuantizedLstmParameters::m_InputToOutputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00636">QuantizedLstmQueueDescriptor::m_InputToOutputWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00041">QuantizedLstmParameters::m_OutputGateBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00646">QuantizedLstmQueueDescriptor::m_OutputGateBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00049">QuantizedLstmLayer::m_QuantizedLstmParameters</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00030">QuantizedLstmParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00640">QuantizedLstmQueueDescriptor::m_RecurrentToCellWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00028">QuantizedLstmParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00639">QuantizedLstmQueueDescriptor::m_RecurrentToForgetWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00026">QuantizedLstmParameters::m_RecurrentToInputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00638">QuantizedLstmQueueDescriptor::m_RecurrentToInputWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00032">QuantizedLstmParameters::m_RecurrentToOutputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00641">QuantizedLstmQueueDescriptor::m_RecurrentToOutputWeights</a>, <a class="el" href="_layer_8hpp_source.html#l00409">Layer::PrepInfoAndDesc()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::QuantizedLstm</a>, and <a class="el" href="_layer_8cpp_source.html#l00303">Layer::SetAdditionalInfo()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a46fc3fdd4b2a5dd6d184e57983cf20bc"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a46fc3fdd4b2a5dd6d184e57983cf20bc">◆ </a></span>ExecuteStrategy()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <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> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Apply a visitor to this layer. </p> |
| |
| <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00239">239</a> of file <a class="el" href="_quantized_lstm_layer_8cpp_source.html">QuantizedLstmLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> {</div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  std::vector<ConstTensor> constTensors;</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  </div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  ManagedConstTensorHandle managedInputToInputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>);</div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  ManagedConstTensorHandle managedInputToForgetWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>);</div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  ManagedConstTensorHandle managedInputToCellWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>);</div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  ManagedConstTensorHandle managedInputToOutputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>);</div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  </div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  ManagedConstTensorHandle managedRecurrentToInputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>);</div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  ManagedConstTensorHandle managedRecurrentToForgetWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>);</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  ManagedConstTensorHandle managedRecurrentToCellWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>);</div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  ManagedConstTensorHandle managedRecurrentToOutputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>);</div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  </div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  ManagedConstTensorHandle managedInputGateBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>);</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  ManagedConstTensorHandle managedForgetGateBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>);</div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  ManagedConstTensorHandle managedCellBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>);</div> |
| <div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  ManagedConstTensorHandle managedOutputGateBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>);</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  </div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="comment">// InputToX weight tensors</span></div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  {</div> |
| <div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  constTensors.emplace_back(ConstTensor(managedInputToInputWeights.GetTensorInfo(),</div> |
| <div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  managedInputToInputWeights.Map()));</div> |
| <div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  }</div> |
| <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  </div> |
| <div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  {</div> |
| <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  constTensors.emplace_back(ConstTensor(managedInputToForgetWeights.GetTensorInfo(),</div> |
| <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  managedInputToForgetWeights.Map()));</div> |
| <div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  }</div> |
| <div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  </div> |
| <div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  {</div> |
| <div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  constTensors.emplace_back(ConstTensor(managedInputToCellWeights.GetTensorInfo(),</div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  managedInputToCellWeights.Map()));</div> |
| <div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  }</div> |
| <div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  </div> |
| <div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  {</div> |
| <div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  constTensors.emplace_back(ConstTensor(managedInputToOutputWeights.GetTensorInfo(),</div> |
| <div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  managedInputToOutputWeights.Map()));</div> |
| <div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  }</div> |
| <div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  </div> |
| <div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="comment">// RecurrentToX weight tensors</span></div> |
| <div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  {</div> |
| <div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  constTensors.emplace_back(ConstTensor(</div> |
| <div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  managedRecurrentToInputWeights.GetTensorInfo(),</div> |
| <div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  managedRecurrentToInputWeights.Map()));</div> |
| <div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  }</div> |
| <div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  </div> |
| <div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  {</div> |
| <div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  constTensors.emplace_back(ConstTensor(</div> |
| <div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  managedRecurrentToForgetWeights.GetTensorInfo(),</div> |
| <div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  managedRecurrentToForgetWeights.Map()));</div> |
| <div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  }</div> |
| <div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  </div> |
| <div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  {</div> |
| <div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  constTensors.emplace_back(ConstTensor(</div> |
| <div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  managedRecurrentToCellWeights.GetTensorInfo(),</div> |
| <div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  managedRecurrentToCellWeights.Map()));</div> |
| <div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  }</div> |
| <div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  </div> |
| <div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  {</div> |
| <div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  constTensors.emplace_back(ConstTensor(</div> |
| <div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  managedRecurrentToOutputWeights.GetTensorInfo(),</div> |
| <div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  managedRecurrentToOutputWeights.Map()));</div> |
| <div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  }</div> |
| <div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  </div> |
| <div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="comment">// Bias tensors</span></div> |
| <div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  {</div> |
| <div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  constTensors.emplace_back(ConstTensor(managedInputGateBias.GetTensorInfo(),</div> |
| <div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  managedInputGateBias.Map()));</div> |
| <div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  }</div> |
| <div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  </div> |
| <div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  {</div> |
| <div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  constTensors.emplace_back(ConstTensor(managedForgetGateBias.GetTensorInfo(),</div> |
| <div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  managedForgetGateBias.Map()));</div> |
| <div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  }</div> |
| <div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  </div> |
| <div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  {</div> |
| <div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  constTensors.emplace_back(ConstTensor(managedCellBias.GetTensorInfo(),</div> |
| <div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  managedCellBias.Map()));</div> |
| <div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  }</div> |
| <div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  </div> |
| <div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  {</div> |
| <div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  constTensors.emplace_back(ConstTensor(managedOutputGateBias.GetTensorInfo(),</div> |
| <div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  managedOutputGateBias.Map()));</div> |
| <div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  }</div> |
| <div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  </div> |
| <div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  </div> |
| <div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  strategy.ExecuteStrategy(<span class="keyword">this</span>, BaseDescriptor(), constTensors, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> |
| <div class="line"><a name="l00339"></a><span class="lineno"> 339</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">IStrategy::ExecuteStrategy()</a>, <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, <a class="el" href="_tensor_handle_8hpp_source.html#l00239">ManagedConstTensorHandle::GetTensorInfo()</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00039">QuantizedLstmParameters::m_CellBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00037">QuantizedLstmParameters::m_ForgetGateBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00035">QuantizedLstmParameters::m_InputGateBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00021">QuantizedLstmParameters::m_InputToCellWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00019">QuantizedLstmParameters::m_InputToForgetWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00017">QuantizedLstmParameters::m_InputToInputWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00023">QuantizedLstmParameters::m_InputToOutputWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00041">QuantizedLstmParameters::m_OutputGateBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00049">QuantizedLstmLayer::m_QuantizedLstmParameters</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00030">QuantizedLstmParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00028">QuantizedLstmParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00026">QuantizedLstmParameters::m_RecurrentToInputWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00032">QuantizedLstmParameters::m_RecurrentToOutputWeights</a>, and <a class="el" href="_tensor_handle_8hpp_source.html#l00196">ManagedConstTensorHandle::Map()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a29cc31172f6ab16ac931f90c667c092d"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a29cc31172f6ab16ac931f90c667c092d">◆ </a></span>GetConstantTensorsByRef()</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"><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> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Retrieve the handles to the constant values stored by the layer. </p> |
| <dl class="section return"><dt>Returns</dt><dd>A vector of the constant tensors stored by this layer. </dd></dl> |
| |
| <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a45544992c89527fa4d51498a91401640">Layer</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00217">217</a> of file <a class="el" href="_quantized_lstm_layer_8cpp_source.html">QuantizedLstmLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> {</div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="comment">// For API stability DO NOT ALTER order and add new members to the end of vector</span></div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">return</span></div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  {</div> |
| <div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>,</div> |
| <div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>,</div> |
| <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>,</div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>,</div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  </div> |
| <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>,</div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>,</div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>,</div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>,</div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  </div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>,</div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>,</div> |
| <div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>,</div> |
| <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a></div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  };</div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00039">QuantizedLstmParameters::m_CellBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00037">QuantizedLstmParameters::m_ForgetGateBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00035">QuantizedLstmParameters::m_InputGateBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00021">QuantizedLstmParameters::m_InputToCellWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00019">QuantizedLstmParameters::m_InputToForgetWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00017">QuantizedLstmParameters::m_InputToInputWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00023">QuantizedLstmParameters::m_InputToOutputWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00041">QuantizedLstmParameters::m_OutputGateBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00049">QuantizedLstmLayer::m_QuantizedLstmParameters</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00030">QuantizedLstmParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00028">QuantizedLstmParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00026">QuantizedLstmParameters::m_RecurrentToInputWeights</a>, and <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00032">QuantizedLstmParameters::m_RecurrentToOutputWeights</a>.</p> |
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| </div> |
| </div> |
| <a id="a65ca562c882ad619684445a1402f415a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a65ca562c882ad619684445a1402f415a">◆ </a></span>InferOutputShapes()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
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| <td class="mlabels-left"> |
| <table class="memname"> |
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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> |
| </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>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="_quantized_lstm_layer_8cpp_source.html#l00081">81</a> of file <a class="el" href="_quantized_lstm_layer_8cpp_source.html">QuantizedLstmLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> {</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">if</span> (inputShapes.size() != 3)</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="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"inputShapes' size is \""</span> + std::to_string(inputShapes.size()) +</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="stringliteral">"\" - should be \"3\"."</span>);</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  </div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="comment">// Get input values for validation</span></div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numBatches = inputShapes[0][0];</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSize = inputShapes[1][1];</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  </div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  std::vector<TensorShape> outShapes;</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  outShapes.push_back(TensorShape({numBatches, outputSize})); <span class="comment">// cellStateOut</span></div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  outShapes.push_back(TensorShape({numBatches, outputSize})); <span class="comment">// output</span></div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  </div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">return</span> outShapes;</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00100">QuantizedLstmLayer::ValidateTensorShapesFromInputs()</a>.</p> |
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| </div> |
| </div> |
| <a id="a8c8f543d7e9729362c266d12ec169966"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a8c8f543d7e9729362c266d12ec169966">◆ </a></span>ValidateTensorShapesFromInputs()</h2> |
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| <div class="memitem"> |
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| <td class="memname">void ValidateTensorShapesFromInputs </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
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| </div><div class="memdoc"> |
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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_quantized_lstm_layer.html">QuantizedLstmLayer</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> |
| |
| <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="_quantized_lstm_layer_8cpp_source.html#l00100">100</a> of file <a class="el" href="_quantized_lstm_layer_8cpp_source.html">QuantizedLstmLayer.cpp</a>.</p> |
| <div class="fragment"><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>  <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(3, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  </div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">const</span> TensorShape& outputShape = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  </div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</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="l00107"></a><span class="lineno"> 107</span>  </div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(</div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  {</div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</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>(), <span class="comment">// input</span></div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</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>(), <span class="comment">// previousCellStateIn</span></div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(2).<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>() <span class="comment">// previousOutputIn</span></div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  });</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  </div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">if</span> (inferredShapes.size() != 2)</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  {</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"inferredShapes has "</span></div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  + std::to_string(inferredShapes.size()) +</div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="stringliteral">" element(s) - should only have 2."</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>  </div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="comment">// Check weights and bias for nullptr</span></div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>)</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  {</div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QuantizedLstmLayer: "</span></div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="stringliteral">"m_QuantizedLstmParameters.m_InputToInputWeights "</span></div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="stringliteral">"should not be null."</span>);</div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  }</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  </div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>)</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  {</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QuantizedLstmLayer: "</span></div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="stringliteral">"m_QuantizedLstmParameters.m_InputToForgetWeights "</span></div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="stringliteral">"should not be null."</span>);</div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  }</div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  </div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>)</div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  {</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QuantizedLstmLayer: "</span></div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="stringliteral">"m_QuantizedLstmParameters.m_InputToCellWeights "</span></div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="stringliteral">"should not be null."</span>);</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  </div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>)</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  {</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QuantizedLstmLayer: "</span></div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="stringliteral">"m_QuantizedLstmParameters.m_InputToOutputWeights "</span></div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="stringliteral">"should not be null."</span>);</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  }</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  </div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>)</div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  {</div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QuantizedLstmLayer: "</span></div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="stringliteral">"m_QuantizedLstmParameters.m_RecurrentToInputWeights "</span></div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="stringliteral">"should not be null."</span>);</div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  }</div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  </div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>)</div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  {</div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QuantizedLstmLayer: "</span></div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="stringliteral">"m_QuantizedLstmParameters.m_RecurrentToForgetWeights "</span></div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="stringliteral">"should not be null."</span>);</div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  }</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  </div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>)</div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  {</div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QuantizedLstmLayer: "</span></div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="stringliteral">"m_QuantizedLstmParameters.m_RecurrentToCellWeights "</span></div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="stringliteral">"should not be null."</span>);</div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  }</div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  </div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>)</div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  {</div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QuantizedLstmLayer: "</span></div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="stringliteral">"m_QuantizedLstmParameters.m_RecurrentToOutputWeights "</span></div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="stringliteral">"should not be null."</span>);</div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  </div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>)</div> |
| <div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  {</div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QuantizedLstmLayer: "</span></div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="stringliteral">"m_QuantizedLstmParameters.m_InputGateBias "</span></div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="stringliteral">"should not be null."</span>);</div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  }</div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  </div> |
| <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>)</div> |
| <div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  {</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QuantizedLstmLayer: "</span></div> |
| <div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="stringliteral">"m_QuantizedLstmParameters.m_ForgetGateBias "</span></div> |
| <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="stringliteral">"should not be null."</span>);</div> |
| <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  }</div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  </div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>)</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  {</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QuantizedLstmLayer: "</span></div> |
| <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="stringliteral">"m_QuantizedLstmParameters.m_CellBias "</span></div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="stringliteral">"should not be null."</span>);</div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  }</div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  </div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>)</div> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  {</div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QuantizedLstmLayer: "</span></div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="stringliteral">"m_QuantizedLstmParameters.m_OutputGateBias "</span></div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="stringliteral">"should not be null."</span>);</div> |
| <div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  }</div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  </div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="comment">// Check output TensorShape(s) match inferred shape</span></div> |
| <div class="line"><a name="l00208"></a><span class="lineno"> 208</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">"QuantizedLstmLayer"</span>);</div> |
| <div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  </div> |
| <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(1).<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetShape(),</div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  inferredShapes[1],</div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>,</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="stringliteral">"QuantizedLstmLayer"</span>,</div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  1);</div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_ref_workload_utils_8hpp_source.html#l00033">armnn::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00614">InputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00100">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00081">QuantizedLstmLayer::InferOutputShapes()</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00039">QuantizedLstmParameters::m_CellBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00037">QuantizedLstmParameters::m_ForgetGateBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00035">QuantizedLstmParameters::m_InputGateBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00021">QuantizedLstmParameters::m_InputToCellWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00019">QuantizedLstmParameters::m_InputToForgetWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00017">QuantizedLstmParameters::m_InputToInputWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00023">QuantizedLstmParameters::m_InputToOutputWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00041">QuantizedLstmParameters::m_OutputGateBias</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00049">QuantizedLstmLayer::m_QuantizedLstmParameters</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00030">QuantizedLstmParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00028">QuantizedLstmParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00026">QuantizedLstmParameters::m_RecurrentToInputWeights</a>, <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00032">QuantizedLstmParameters::m_RecurrentToOutputWeights</a>, <a class="el" href="_layer_8hpp_source.html#l00441">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="_layer_8cpp_source.html#l00457">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00410">Layer::VerifyLayerConnections()</a>, and <a class="el" href="_layer_8cpp_source.html#l00526">Layer::VerifyShapeInferenceType()</a>.</p> |
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| </div> |
| </div> |
| <h2 class="groupheader">Member Data Documentation</h2> |
| <a id="ad3c37b52145c3cf1b4856c0df008a468"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad3c37b52145c3cf1b4856c0df008a468">◆ </a></span>m_QuantizedLstmParameters</h2> |
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| <td class="memname"><a class="el" href="structarmnn_1_1_quantized_lstm_parameters.html">QuantizedLstmParameters</a> m_QuantizedLstmParameters</td> |
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| <p class="definition">Definition at line <a class="el" href="_quantized_lstm_layer_8hpp_source.html#l00049">49</a> of file <a class="el" href="_quantized_lstm_layer_8hpp_source.html">QuantizedLstmLayer.hpp</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_network_8cpp_source.html#l02720">NetworkImpl::AddQuantizedLstmLayer()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00047">QuantizedLstmLayer::Clone()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00022">QuantizedLstmLayer::CreateWorkload()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00239">QuantizedLstmLayer::ExecuteStrategy()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00217">QuantizedLstmLayer::GetConstantTensorsByRef()</a>, and <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00100">QuantizedLstmLayer::ValidateTensorShapesFromInputs()</a>.</p> |
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| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>src/armnn/layers/<a class="el" href="_quantized_lstm_layer_8hpp_source.html">QuantizedLstmLayer.hpp</a></li> |
| <li>src/armnn/layers/<a class="el" href="_quantized_lstm_layer_8cpp_source.html">QuantizedLstmLayer.cpp</a></li> |
| </ul> |
| </div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a281954ff495d27f7a29e42a98768c670"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">armnn::QuantizedLstmParameters::m_InputToInputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00017">QuantizedLstmLayer.hpp:17</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a21a90800797f1e122bc44d7022001558"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">armnn::QuantizedLstmParameters::m_CellBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00039">QuantizedLstmLayer.hpp:39</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00100">Layer.cpp:100</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a950c538e326db48f4c26a354c2b982e3"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">armnn::QuantizedLstmParameters::m_OutputGateBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_OutputGateBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00041">QuantizedLstmLayer.hpp:41</a></div></div> |
| <div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00457">Layer.cpp:457</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00339">Layer.hpp:339</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::LayerType::QuantizedLstm</a></div><div class="ttdeci">@ QuantizedLstm</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_html_a5e5ae420d199a0bccae5139d38c30205"><div class="ttname"><a href="classarmnn_1_1_layer.html#a5e5ae420d199a0bccae5139d38c30205">armnn::Layer::Layer</a></div><div class="ttdeci">Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00260">Layer.cpp:260</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="astructarmnn_1_1_quantized_lstm_parameters_html_addad136e04521a1d31cbebf7280c312e"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">armnn::QuantizedLstmParameters::m_RecurrentToOutputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_RecurrentToOutputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00032">QuantizedLstmLayer.hpp:32</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_aafad117fb253359c1d472c9faefe49ef"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">armnn::QuantizedLstmParameters::m_InputToForgetWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00019">QuantizedLstmLayer.hpp:19</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00614">Layer.cpp:614</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_ad3f42762262330534a4be0dde29a1318"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">armnn::QuantizedLstmParameters::m_InputToCellWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToCellWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00021">QuantizedLstmLayer.hpp:21</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_af7f44bcc5b6cf669268a9ac0ff1446be"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">armnn::QuantizedLstmParameters::m_ForgetGateBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_ForgetGateBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00037">QuantizedLstmLayer.hpp:37</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer.html#a30a858b2b26d651a066537e499fbf40d">armnn::Layer::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_8hpp_source.html#l00409">Layer.hpp:409</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a3d4f6f42e10ba6f808a5244bb7853e7e"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">armnn::QuantizedLstmParameters::m_InputToOutputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToOutputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00023">QuantizedLstmLayer.hpp:23</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_validation_exception_html"><div class="ttname"><a href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00105">Exceptions.hpp:105</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00526">Layer.cpp:526</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_aa815fde54f6d8e8aa5b4f0301cf4178b"><div class="ttname"><a href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00033">RefWorkloadUtils.hpp:33</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#l00303">Layer.cpp:303</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those.</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_quantized_lstm_layer_html_ad3c37b52145c3cf1b4856c0df008a468"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">armnn::QuantizedLstmLayer::m_QuantizedLstmParameters</a></div><div class="ttdeci">QuantizedLstmParameters m_QuantizedLstmParameters</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00049">QuantizedLstmLayer.hpp:49</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_quantized_lstm_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html#a65ca562c882ad619684445a1402f415a">armnn::QuantizedLstmLayer::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="_quantized_lstm_layer_8cpp_source.html#l00081">QuantizedLstmLayer.cpp:81</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a608ed1a3d4135921ce33a286a87a072b"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">armnn::QuantizedLstmParameters::m_RecurrentToCellWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_RecurrentToCellWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00030">QuantizedLstmLayer.hpp:30</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00410">Layer.cpp:410</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a85684ffb2d12d0d04fbd188591488a2c"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">armnn::QuantizedLstmParameters::m_InputGateBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputGateBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00035">QuantizedLstmLayer.hpp:35</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="astructarmnn_1_1_quantized_lstm_parameters_html_addfb6b081817510deb924c8fb5ce216c"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">armnn::QuantizedLstmParameters::m_RecurrentToInputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_RecurrentToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00026">QuantizedLstmLayer.hpp:26</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a1dd41cd674924907643cb088070a65d3"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">armnn::QuantizedLstmParameters::m_RecurrentToForgetWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_RecurrentToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00028">QuantizedLstmLayer.hpp:28</a></div></div> |
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