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| author | Nikhil Raj <nikhil.raj@arm.com> | 2023-11-22 11:41:15 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2023-11-22 11:41:15 +0000 |
| commit | 6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c (patch) | |
| tree | 0c076149c03ac45c2617f5e02a77b79287ff5a0f /23.11/classarmnn_1_1_ref_layer_support.html | |
| parent | 03c7ff3f6188240baaeaeb405a357a0c58195fec (diff) | |
| download | armnn-6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c.tar.gz | |
Update Doxygen for 23.11
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I47cd933f5002cb94a73aa97689d7b3d9c93cb849
Diffstat (limited to '23.11/classarmnn_1_1_ref_layer_support.html')
| -rw-r--r-- | 23.11/classarmnn_1_1_ref_layer_support.html | 6389 |
1 files changed, 6389 insertions, 0 deletions
diff --git a/23.11/classarmnn_1_1_ref_layer_support.html b/23.11/classarmnn_1_1_ref_layer_support.html new file mode 100644 index 0000000000..cf3066cec8 --- /dev/null +++ b/23.11/classarmnn_1_1_ref_layer_support.html @@ -0,0 +1,6389 @@ +<!-- HTML header for doxygen 1.8.17--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.17"/> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>Arm NN: RefLayerSupport Class Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> 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src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/> + <td id="projectalign" style="padding-left: 0.9em;"> + <div id="projectname"> +  <span id="projectnumber">23.11</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.17 --> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +/* @license-end */ +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +/* @license-end */</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('classarmnn_1_1_ref_layer_support.html',''); initResizable(); }); +/* @license-end */ +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="summary"> +<a href="#pub-methods">Public Member Functions</a> | +<a href="classarmnn_1_1_ref_layer_support-members.html">List of all members</a> </div> + <div class="headertitle"> +<div class="title">RefLayerSupport Class Reference</div> </div> +</div><!--header--> +<div class="contents"> + +<p><code>#include <<a class="el" href="_ref_layer_support_8hpp_source.html">RefLayerSupport.hpp</a>></code></p> +<div class="dynheader"> +Inheritance diagram for RefLayerSupport:</div> +<div class="dyncontent"> +<div class="center"><iframe scrolling="no" frameborder="0" src="classarmnn_1_1_ref_layer_support__inherit__graph.svg" width="151" height="187"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe> +</div> +<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div> +<div class="dynheader"> +Collaboration diagram for RefLayerSupport:</div> +<div class="dyncontent"> +<div class="center"><iframe scrolling="no" frameborder="0" src="classarmnn_1_1_ref_layer_support__coll__graph.svg" width="151" height="187"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe> +</div> +<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div> +<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:a1e128c847b11f20fdedc72ec2951424f"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a1e128c847b11f20fdedc72ec2951424f">IsLayerSupported</a> (const <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> &type, const std::vector< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> > &infos, const <a class="el" href="structarmnn_1_1_base_descriptor.html">BaseDescriptor</a> &descriptor, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> > &lstmParamsInfo, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="structarmnn_1_1_quantized_lstm_input_params_info.html">QuantizedLstmInputParamsInfo</a> > &, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported) const override</td></tr> +<tr class="memdesc:a1e128c847b11f20fdedc72ec2951424f"><td class="mdescLeft"> </td><td class="mdescRight">Default implementation of the <a class="el" href="classarmnn_1_1_i_layer_support.html">ILayerSupport</a> interface, Backends should implement this as a switch statement for each of their LayerTypes calling their specific backend implementation of IsXXXLayerSupported. <a href="classarmnn_1_1_ref_layer_support.html#a1e128c847b11f20fdedc72ec2951424f">More...</a><br /></td></tr> +<tr class="separator:a1e128c847b11f20fdedc72ec2951424f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a963c34790fb5214b51b16b69d36fe3c8"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a963c34790fb5214b51b16b69d36fe3c8">IsActivationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a963c34790fb5214b51b16b69d36fe3c8"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afaadd7f7db4d8827890b4cedaf3bac8e"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#afaadd7f7db4d8827890b4cedaf3bac8e">IsAdditionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:afaadd7f7db4d8827890b4cedaf3bac8e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a36da5a4ac8ecbf58821989af2c289e59"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a36da5a4ac8ecbf58821989af2c289e59">IsArgMinMaxSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_arg_min_max_descriptor.html">ArgMinMaxDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a36da5a4ac8ecbf58821989af2c289e59"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a22cfc1d5f68bd32db0aa126e8fd9e615"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a22cfc1d5f68bd32db0aa126e8fd9e615">IsBatchMatMulSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &inputX, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &inputY, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.html">BatchMatMulDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a22cfc1d5f68bd32db0aa126e8fd9e615"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aefe6105143396c8fd46f29266c63d948"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#aefe6105143396c8fd46f29266c63d948">IsBatchNormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &mean, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &var, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &beta, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &gamma, const <a class="el" href="structarmnn_1_1_batch_normalization_descriptor.html">BatchNormalizationDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aefe6105143396c8fd46f29266c63d948"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae8523c4d9b6c18744d46a98d4984a011"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#ae8523c4d9b6c18744d46a98d4984a011">IsBatchToSpaceNdSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">BatchToSpaceNdDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ae8523c4d9b6c18744d46a98d4984a011"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa231780ff80202fedeb2998a787073b8"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#aa231780ff80202fedeb2998a787073b8">IsBroadcastToSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_broadcast_to_descriptor.html">BroadcastToDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aa231780ff80202fedeb2998a787073b8"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a40767d1d9169c7f9c1f1ef2f2aa87133"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a40767d1d9169c7f9c1f1ef2f2aa87133">IsCastSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a40767d1d9169c7f9c1f1ef2f2aa87133"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abe9e711bd5dc9844369d4c706e0d8b0a"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#abe9e711bd5dc9844369d4c706e0d8b0a">IsChannelShuffleSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_channel_shuffle_descriptor.html">ChannelShuffleDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:abe9e711bd5dc9844369d4c706e0d8b0a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a17176599a09cab046bf452ea99b7db37"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a17176599a09cab046bf452ea99b7db37">IsComparisonSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_comparison_descriptor.html">ComparisonDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a17176599a09cab046bf452ea99b7db37"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab56e4c49e3cbd6b486b4a9e6b89e6e0c"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#ab56e4c49e3cbd6b486b4a9e6b89e6e0c">IsConcatSupported</a> (const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * > inputs, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_origins_descriptor.html">OriginsDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ab56e4c49e3cbd6b486b4a9e6b89e6e0c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3741887d06449834eea19c00d1320f7c"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a3741887d06449834eea19c00d1320f7c">IsConstantSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a3741887d06449834eea19c00d1320f7c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab4684a5f416ac243a4519f54e683b535"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#ab4684a5f416ac243a4519f54e683b535">IsConvertFp16ToFp32Supported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ab4684a5f416ac243a4519f54e683b535"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a63cd5b66c276be0542571be736aaf7f5"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a63cd5b66c276be0542571be736aaf7f5">IsConvertFp32ToFp16Supported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a63cd5b66c276be0542571be736aaf7f5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0e7afe178736bc0844695e051d12be51"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a0e7afe178736bc0844695e051d12be51">IsConvolution2dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_convolution2d_descriptor.html">Convolution2dDescriptor</a> &descriptor, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &weights, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> > &biases, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a0e7afe178736bc0844695e051d12be51"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a57927a58bc6bb87455b51a2786fe1b3b"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a57927a58bc6bb87455b51a2786fe1b3b">IsConvolution3dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_convolution3d_descriptor.html">Convolution3dDescriptor</a> &descriptor, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &weights, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> > &biases, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a57927a58bc6bb87455b51a2786fe1b3b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad64886df8ea110d6636746780049a3ee"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#ad64886df8ea110d6636746780049a3ee">IsDebugSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ad64886df8ea110d6636746780049a3ee"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7ed10202fff7c54f2d5b27c3ecd21567"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a7ed10202fff7c54f2d5b27c3ecd21567">IsDepthToSpaceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="namespacearmnn.html#a3647f60510bc8ddaced01c51b0ee8714">DepthToSpaceDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a7ed10202fff7c54f2d5b27c3ecd21567"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8e778f7b99b33e242145ff2319ae585c"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a8e778f7b99b33e242145ff2319ae585c">IsDepthwiseConvolutionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a> &descriptor, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &weights, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> > &biases, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a8e778f7b99b33e242145ff2319ae585c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a25adbaea31c52a55a1fa3afa7546be02"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a25adbaea31c52a55a1fa3afa7546be02">IsDequantizeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a25adbaea31c52a55a1fa3afa7546be02"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:accd2fb6b7713141313cfc310ea460a28"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#accd2fb6b7713141313cfc310ea460a28">IsDetectionPostProcessSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &boxEncodings, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &scores, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &anchors, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &detectionBoxes, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &detectionClasses, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &detectionScores, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &numDetections, const <a class="el" href="structarmnn_1_1_detection_post_process_descriptor.html">DetectionPostProcessDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:accd2fb6b7713141313cfc310ea460a28"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a61f414384bee3fe4ab1c06480dfb43ba"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a61f414384bee3fe4ab1c06480dfb43ba">IsDilatedDepthwiseConvolutionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a> &descriptor, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &weights, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> > &biases, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a61f414384bee3fe4ab1c06480dfb43ba"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aac1281b0616904d20dc397cfc5984e8b"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#aac1281b0616904d20dc397cfc5984e8b">IsDivisionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aac1281b0616904d20dc397cfc5984e8b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a734a989302f92b63d717f2ac395c3eb9"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a734a989302f92b63d717f2ac395c3eb9">IsElementwiseUnarySupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_elementwise_unary_descriptor.html">ElementwiseUnaryDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a734a989302f92b63d717f2ac395c3eb9"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a603040030365f52a95c50f51fb53f927"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a603040030365f52a95c50f51fb53f927">IsFakeQuantizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="structarmnn_1_1_fake_quantization_descriptor.html">FakeQuantizationDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a603040030365f52a95c50f51fb53f927"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad557f8fa58e751c93cf271691834ca52"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#ad557f8fa58e751c93cf271691834ca52">IsFillSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_fill_descriptor.html">FillDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ad557f8fa58e751c93cf271691834ca52"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aca92095e6a26d7f451042795afabea5b"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#aca92095e6a26d7f451042795afabea5b">IsFloorSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aca92095e6a26d7f451042795afabea5b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6bb173cc16cd16909254787311c19995"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a6bb173cc16cd16909254787311c19995">IsFullyConnectedSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &weights, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &biases, const <a class="el" href="structarmnn_1_1_fully_connected_descriptor.html">FullyConnectedDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a6bb173cc16cd16909254787311c19995"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2a89cbdac994b2cc7d15eb74a6476351"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a2a89cbdac994b2cc7d15eb74a6476351">IsGatherNdSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a2a89cbdac994b2cc7d15eb74a6476351"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0f58d59316606a2de39bbafe7569378c"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a0f58d59316606a2de39bbafe7569378c">IsGatherSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_gather_descriptor.html">GatherDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a0f58d59316606a2de39bbafe7569378c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9546ae76bc4ba8a05f1c441be22ae546"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a9546ae76bc4ba8a05f1c441be22ae546">IsInputSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a9546ae76bc4ba8a05f1c441be22ae546"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a96f76305323bd5f2c9f8e2850a327f95"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a96f76305323bd5f2c9f8e2850a327f95">IsInstanceNormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_instance_normalization_descriptor.html">InstanceNormalizationDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a96f76305323bd5f2c9f8e2850a327f95"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acc5b87bee8889258d7289f009e754d3d"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#acc5b87bee8889258d7289f009e754d3d">IsL2NormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_l2_normalization_descriptor.html">L2NormalizationDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:acc5b87bee8889258d7289f009e754d3d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a83f61b022e9544d0c1f5110cd28ae502"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a83f61b022e9544d0c1f5110cd28ae502">IsLogicalBinarySupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_logical_binary_descriptor.html">LogicalBinaryDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported) const</td></tr> +<tr class="separator:a83f61b022e9544d0c1f5110cd28ae502"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a91c358cdf313fc39ec0cedece89faac3"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a91c358cdf313fc39ec0cedece89faac3">IsLogSoftmaxSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="namespacearmnn.html#ac14705405cbcdd580df613de6766fe65">LogSoftmaxDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported) const</td></tr> +<tr class="separator:a91c358cdf313fc39ec0cedece89faac3"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad5adeb0c9d1cf403d5cd2eadf4585155"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#ad5adeb0c9d1cf403d5cd2eadf4585155">IsLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &outputStateIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &cellStateIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &scratchBuffer, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &outputStateOut, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &cellStateOut, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_lstm_descriptor.html">LstmDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> &paramsInfo, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ad5adeb0c9d1cf403d5cd2eadf4585155"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3a8e66320bb329f751e0f08fa970cd61"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a3a8e66320bb329f751e0f08fa970cd61">IsMaximumSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a3a8e66320bb329f751e0f08fa970cd61"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a007299b48d001bbdaefe525566b21c8e"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a007299b48d001bbdaefe525566b21c8e">IsMeanSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_mean_descriptor.html">MeanDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a007299b48d001bbdaefe525566b21c8e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a76fea9e8e52d879f59b268b060635145"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a76fea9e8e52d879f59b268b060635145">IsMemCopySupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a76fea9e8e52d879f59b268b060635145"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a68ddd3634fa7ce3a1eea8d7cc5adc9f0"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a68ddd3634fa7ce3a1eea8d7cc5adc9f0">IsMinimumSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a68ddd3634fa7ce3a1eea8d7cc5adc9f0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a030c7a65a5c26b93c57b30e3c9d6a80b"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a030c7a65a5c26b93c57b30e3c9d6a80b">IsMultiplicationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a030c7a65a5c26b93c57b30e3c9d6a80b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af77622c468f95d7cbc05b7d6f6e83830"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#af77622c468f95d7cbc05b7d6f6e83830">IsNormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_normalization_descriptor.html">NormalizationDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:af77622c468f95d7cbc05b7d6f6e83830"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3b1efcbd2ac79d53fa0db56831095cd6"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a3b1efcbd2ac79d53fa0db56831095cd6">IsOutputSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a3b1efcbd2ac79d53fa0db56831095cd6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a649ebe27288d2e62ed0069c0f1d941b8"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a649ebe27288d2e62ed0069c0f1d941b8">IsPadSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_pad_descriptor.html">PadDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a649ebe27288d2e62ed0069c0f1d941b8"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5d06aa3102f630eeff127195693810e8"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a5d06aa3102f630eeff127195693810e8">IsPermuteSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_permute_descriptor.html">PermuteDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a5d06aa3102f630eeff127195693810e8"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5e11a11243484e16c20247e3e0d4f890"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a5e11a11243484e16c20247e3e0d4f890">IsPooling2dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_pooling2d_descriptor.html">Pooling2dDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a5e11a11243484e16c20247e3e0d4f890"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a677818beaa9f767c7fb0442fb9db2881"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a677818beaa9f767c7fb0442fb9db2881">IsPooling3dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_pooling3d_descriptor.html">Pooling3dDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a677818beaa9f767c7fb0442fb9db2881"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7c739d08cf4fe3f9adef635be0544362"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a7c739d08cf4fe3f9adef635be0544362">IsQuantizeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a7c739d08cf4fe3f9adef635be0544362"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a07cd270641b5876471c8ba9e77bc3abe"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a07cd270641b5876471c8ba9e77bc3abe">IsQLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &previousOutputIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &previousCellStateIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &outputStateOut, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &cellStateOut, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_q_lstm_descriptor.html">QLstmDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> &paramsInfo, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a07cd270641b5876471c8ba9e77bc3abe"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a683bb260b89ee0c0b9c409f3c4956acb"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a683bb260b89ee0c0b9c409f3c4956acb">IsRankSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a683bb260b89ee0c0b9c409f3c4956acb"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa253f9963038f4d68877caf6a9a091b4"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#aa253f9963038f4d68877caf6a9a091b4">IsReduceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_reduce_descriptor.html">ReduceDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aa253f9963038f4d68877caf6a9a091b4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae96fb1672cadd4e9b87809004799b6da"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#ae96fb1672cadd4e9b87809004799b6da">IsReshapeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_reshape_descriptor.html">ReshapeDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ae96fb1672cadd4e9b87809004799b6da"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a85e08ffdec56499a2f78859229b51aa4"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a85e08ffdec56499a2f78859229b51aa4">IsResizeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_resize_descriptor.html">ResizeDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a85e08ffdec56499a2f78859229b51aa4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a138eb039ccebe50bd56b7a0244b0754e"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a138eb039ccebe50bd56b7a0244b0754e">IsReverseV2Supported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a138eb039ccebe50bd56b7a0244b0754e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4b423d2cd51bbfb363141d823cecf943"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a4b423d2cd51bbfb363141d823cecf943">IsShapeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a4b423d2cd51bbfb363141d823cecf943"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a29d47a3b7a5f312d858c2a1c67905a83"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a29d47a3b7a5f312d858c2a1c67905a83">IsSliceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_slice_descriptor.html">SliceDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a29d47a3b7a5f312d858c2a1c67905a83"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abc2d31208c6bcced31369b024eee3b65"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#abc2d31208c6bcced31369b024eee3b65">IsSoftmaxSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_softmax_descriptor.html">SoftmaxDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:abc2d31208c6bcced31369b024eee3b65"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aeef91cdb55b6cd1cbda03f42553fb861"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#aeef91cdb55b6cd1cbda03f42553fb861">IsSpaceToBatchNdSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_space_to_batch_nd_descriptor.html">SpaceToBatchNdDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aeef91cdb55b6cd1cbda03f42553fb861"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abd0c6ea3807227b94374ff321a47284d"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#abd0c6ea3807227b94374ff321a47284d">IsSpaceToDepthSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_space_to_depth_descriptor.html">SpaceToDepthDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:abd0c6ea3807227b94374ff321a47284d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9b9c3c80d296907362f8b407b6a20727"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a9b9c3c80d296907362f8b407b6a20727">IsSplitterSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const std::vector< std::reference_wrapper< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> >> &outputs, const <a class="el" href="structarmnn_1_1_views_descriptor.html">ViewsDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a9b9c3c80d296907362f8b407b6a20727"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abd5430fb7e3f330b675a797d690e6eb4"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#abd5430fb7e3f330b675a797d690e6eb4">IsStackSupported</a> (const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * > &inputs, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_stack_descriptor.html">StackDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:abd5430fb7e3f330b675a797d690e6eb4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a227f01f31ce42d62f160d49d5d044a3b"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a227f01f31ce42d62f160d49d5d044a3b">IsStridedSliceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_strided_slice_descriptor.html">StridedSliceDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a227f01f31ce42d62f160d49d5d044a3b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6e14b055cf3d72d4de0cc9f68616925c"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a6e14b055cf3d72d4de0cc9f68616925c">IsSubtractionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a6e14b055cf3d72d4de0cc9f68616925c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a98b405bfcfb15d1aa09042ffc370f370"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a98b405bfcfb15d1aa09042ffc370f370">IsPreluSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &alpha, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a98b405bfcfb15d1aa09042ffc370f370"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a27b8700a838b8018acb22cf38570b997"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a27b8700a838b8018acb22cf38570b997">IsTileSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_tile_descriptor.html">TileDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a27b8700a838b8018acb22cf38570b997"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a161bd30613088b5f2c8d4f5234ceacea"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a161bd30613088b5f2c8d4f5234ceacea">IsTransposeConvolution2dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</a> &descriptor, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &weights, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> > &biases, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a161bd30613088b5f2c8d4f5234ceacea"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1a431d200c1ab85913cac36539d9ca3b"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#a1a431d200c1ab85913cac36539d9ca3b">IsTransposeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_transpose_descriptor.html">TransposeDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a1a431d200c1ab85913cac36539d9ca3b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa81040706a8b0b9ef1cb18c68e7dcdf4"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.html#aa81040706a8b0b9ef1cb18c68e7dcdf4">IsUnidirectionalSequenceLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &outputStateIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &cellStateIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &outputStateOut, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &cellStateOut, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="namespacearmnn.html#ae6c5f1b51bd32133c4dcc632045d6b58">UnidirectionalSequenceLstmDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> &paramsInfo, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aa81040706a8b0b9ef1cb18c68e7dcdf4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="inherit_header pub_methods_classarmnn_1_1_layer_support_base"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_layer_support_base')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_layer_support_base.html">LayerSupportBase</a></td></tr> +<tr class="memitem:accd2fb6b7713141313cfc310ea460a28 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.html#accd2fb6b7713141313cfc310ea460a28">IsDetectionPostProcessSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &boxEncodings, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &scores, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &anchors, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &detectionBoxes, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &detectionClasses, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &detectionScores, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &numDetections, const <a class="el" href="structarmnn_1_1_detection_post_process_descriptor.html">DetectionPostProcessDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:accd2fb6b7713141313cfc310ea460a28 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a76fea9e8e52d879f59b268b060635145 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.html#a76fea9e8e52d879f59b268b060635145">IsMemCopySupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a76fea9e8e52d879f59b268b060635145 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a081cfb99e9e5b240f8b151f0a7090431 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.html#a081cfb99e9e5b240f8b151f0a7090431">IsMemImportSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a081cfb99e9e5b240f8b151f0a7090431 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a21fd6e1714d62eb57f7e31e3ccaaa152 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.html#a21fd6e1714d62eb57f7e31e3ccaaa152">IsMergeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a21fd6e1714d62eb57f7e31e3ccaaa152 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aad6eabce66fdae7c3389450e9dc75df9 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.html#aad6eabce66fdae7c3389450e9dc75df9">IsQuantizedLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &previousCellStateIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &previousOutputIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &cellStateOut, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, const <a class="el" href="structarmnn_1_1_quantized_lstm_input_params_info.html">QuantizedLstmInputParamsInfo</a> &paramsInfo, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aad6eabce66fdae7c3389450e9dc75df9 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4b423d2cd51bbfb363141d823cecf943 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.html#a4b423d2cd51bbfb363141d823cecf943">IsShapeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a4b423d2cd51bbfb363141d823cecf943 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad00d990a0de5580f3171e63f0d8dd8d5 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.html#ad00d990a0de5580f3171e63f0d8dd8d5">IsStandInSupported</a> (const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * > &inputs, const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * > &outputs, const <a class="el" href="structarmnn_1_1_stand_in_descriptor.html">StandInDescriptor</a> &descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ad00d990a0de5580f3171e63f0d8dd8d5 inherit pub_methods_classarmnn_1_1_layer_support_base"><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 pro_methods_classarmnn_1_1_i_layer_support"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_i_layer_support')"><img src="closed.png" alt="-"/> Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_i_layer_support.html">ILayerSupport</a></td></tr> +<tr class="memitem:aab2a487bc88047443d8a0f87c3c40b8d inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.html#aab2a487bc88047443d8a0f87c3c40b8d">ILayerSupport</a> ()</td></tr> +<tr class="separator:aab2a487bc88047443d8a0f87c3c40b8d inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9e7f4f28576904804cd759e49173beeb inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.html#a9e7f4f28576904804cd759e49173beeb">~ILayerSupport</a> ()</td></tr> +<tr class="separator:a9e7f4f28576904804cd759e49173beeb inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> +<div class="textblock"> +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8hpp_source.html#l00012">12</a> of file <a class="el" href="_ref_layer_support_8hpp_source.html">RefLayerSupport.hpp</a>.</p> +</div><h2 class="groupheader">Member Function Documentation</h2> +<a id="a963c34790fb5214b51b16b69d36fe3c8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a963c34790fb5214b51b16b69d36fe3c8">◆ </a></span>IsActivationSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsActivationSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l00553">553</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00557"></a><span class="lineno"> 557</span> {</div> +<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  </div> +<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="comment">// Define supported types.</span></div> +<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  std::array<DataType,6> supportedTypes = {</div> +<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  };</div> +<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  </div> +<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="stringliteral">"Reference activation: input type not supported."</span>);</div> +<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  </div> +<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="stringliteral">"Reference activation: output type not supported."</span>);</div> +<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  </div> +<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="stringliteral">"Reference activation: input and output types mismatched."</span>);</div> +<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  </div> +<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ShapesAreSameRank(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="stringliteral">"Reference activation: input and output shapes are of different rank."</span>);</div> +<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  </div> +<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  </div> +<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keyword">struct </span>ActivationFunctionSupported : <span class="keyword">public</span> Rule</div> +<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  {</div> +<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  ActivationFunctionSupported(<span class="keyword">const</span> ActivationDescriptor& desc)</div> +<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  {</div> +<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <span class="keywordflow">switch</span>(desc.m_Function)</div> +<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  {</div> +<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">ActivationFunction::Abs</a>:</div> +<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">ActivationFunction::BoundedReLu</a>:</div> +<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">ActivationFunction::Elu</a>:</div> +<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaf48cca1c6deaa6a1c34e4ee46954cf0b">ActivationFunction::Gelu</a>:</div> +<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">ActivationFunction::HardSwish</a>:</div> +<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">ActivationFunction::LeakyReLu</a>:</div> +<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">ActivationFunction::Linear</a>:</div> +<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">ActivationFunction::ReLu</a>:</div> +<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">ActivationFunction::Sigmoid</a>:</div> +<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">ActivationFunction::SoftReLu</a>:</div> +<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">ActivationFunction::Sqrt</a>:</div> +<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">ActivationFunction::Square</a>:</div> +<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">ActivationFunction::TanH</a>:</div> +<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  {</div> +<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  m_Res = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  }</div> +<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <span class="keywordflow">default</span>:</div> +<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  {</div> +<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  m_Res = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  }</div> +<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  }</div> +<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  }</div> +<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  };</div> +<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  </div> +<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <span class="comment">// Function is supported</span></div> +<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ActivationFunctionSupported(descriptor), reasonIfUnsupported,</div> +<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="stringliteral">"Reference activation: function not supported."</span>);</div> +<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  </div> +<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l00619"></a><span class="lineno"> 619</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::Abs</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::Elu</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaf48cca1c6deaa6a1c34e4ee46954cf0b">armnn::Gelu</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::HardSwish</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::LeakyReLu</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::Linear</a>, <a class="el" href="_descriptors_8hpp_source.html#l00059">ActivationDescriptor::m_Function</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::Sigmoid</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">armnn::SoftReLu</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::Sqrt</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::Square</a>, and <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::TanH</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="afaadd7f7db4d8827890b4cedaf3bac8e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afaadd7f7db4d8827890b4cedaf3bac8e">◆ </a></span>IsAdditionSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsAdditionSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l00621">621</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00625"></a><span class="lineno"> 625</span> {</div> +<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  </div> +<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  std::array<DataType,7> supportedTypes = {</div> +<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  };</div> +<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  </div> +<div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="stringliteral">"Reference addition: input 0 is not a supported type."</span>);</div> +<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  </div> +<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="stringliteral">"Reference addition: input 1 is not a supported type."</span>);</div> +<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  </div> +<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="stringliteral">"Reference addition: output is not a supported type."</span>);</div> +<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  </div> +<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, input1), reasonIfUnsupported,</div> +<div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  <span class="stringliteral">"Reference addition: input 0 and Input 1 types are mismatched"</span>);</div> +<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  </div> +<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, output), reasonIfUnsupported,</div> +<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <span class="stringliteral">"Reference addition: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  </div> +<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,</div> +<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="stringliteral">"Reference addition: shapes are not suitable for implicit broadcast."</span>);</div> +<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  </div> +<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l00656"></a><span class="lineno"> 656</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a36da5a4ac8ecbf58821989af2c289e59"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a36da5a4ac8ecbf58821989af2c289e59">◆ </a></span>IsArgMinMaxSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsArgMinMaxSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_arg_min_max_descriptor.html">ArgMinMaxDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l00658">658</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> {</div> +<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  </div> +<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  std::array<DataType, 8> supportedInputTypes =</div> +<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  {</div> +<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> +<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">DataType::Signed64</a></div> +<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  };</div> +<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  </div> +<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  std::array<DataType,2> supportedOutputTypes = {</div> +<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> +<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">DataType::Signed64</a></div> +<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  };</div> +<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  </div> +<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  </div> +<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  <span class="stringliteral">"Reference ArgMinMax: input is not a supported type."</span>);</div> +<div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <span class="stringliteral">"Reference ArgMinMax: output type not supported"</span>);</div> +<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  </div> +<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l00688"></a><span class="lineno"> 688</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">armnn::Signed64</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a22cfc1d5f68bd32db0aa126e8fd9e615"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a22cfc1d5f68bd32db0aa126e8fd9e615">◆ </a></span>IsBatchMatMulSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsBatchMatMulSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>inputX</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>inputY</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.html">BatchMatMulDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l00690">690</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00695"></a><span class="lineno"> 695</span> {</div> +<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  </div> +<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  std::array<DataType, 6> supportedTypes =</div> +<div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  {</div> +<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  };</div> +<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  </div> +<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  </div> +<div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(inputX, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  <span class="stringliteral">"Reference batch matrix multiplication: input X is not a supported type"</span>);</div> +<div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  </div> +<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(inputY, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <span class="stringliteral">"Reference batch matrix multiplication: input Y is not a supported type"</span>);</div> +<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  </div> +<div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  <span class="stringliteral">"Reference batch matrix multiplication: output is not a supported type"</span>);</div> +<div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  </div> +<div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(inputX, inputY), reasonIfUnsupported,</div> +<div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <span class="stringliteral">"Reference batch matrix multiplication: input X and input Y types are mismatched"</span>);</div> +<div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  </div> +<div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(inputX, output), reasonIfUnsupported,</div> +<div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <span class="stringliteral">"Reference batch matrix multiplication: inputs and output types are mismatched"</span>);</div> +<div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  </div> +<div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TensorNumDimensionsAreGreaterOrEqualTo(inputX, 2),</div> +<div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <span class="stringliteral">"Reference batch matrix multiplication: input X is not of rank 2 or greater"</span>);</div> +<div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  </div> +<div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TensorNumDimensionsAreGreaterOrEqualTo(inputY, 2),</div> +<div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <span class="stringliteral">"Reference batch matrix multiplication: input Y is not of rank 2 or greater"</span>);</div> +<div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  </div> +<div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l00733"></a><span class="lineno"> 733</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="aefe6105143396c8fd46f29266c63d948"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aefe6105143396c8fd46f29266c63d948">◆ </a></span>IsBatchNormalizationSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsBatchNormalizationSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>mean</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>var</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>beta</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>gamma</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_normalization_descriptor.html">BatchNormalizationDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l00735">735</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00743"></a><span class="lineno"> 743</span> {</div> +<div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  </div> +<div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  std::array<DataType, 6> supportedTypes =</div> +<div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  {</div> +<div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  };</div> +<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  </div> +<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  </div> +<div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="stringliteral">"Reference batch normalization: input is not a supported type."</span>);</div> +<div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  </div> +<div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  <span class="stringliteral">"Reference batch normalization: output is not a supported type."</span>);</div> +<div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  </div> +<div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <span class="stringliteral">"Reference batch normalization: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  </div> +<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(mean, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  <span class="stringliteral">"Reference batch normalization: mean is not a supported type."</span>);</div> +<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  </div> +<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(variance, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  <span class="stringliteral">"Reference batch normalization: variance is not a supported type."</span>);</div> +<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  </div> +<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(beta, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  <span class="stringliteral">"Reference batch normalization: beta is not a supported type."</span>);</div> +<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  </div> +<div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(gamma, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  <span class="stringliteral">"Reference batch normalization: gamma is not a supported type."</span>);</div> +<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  </div> +<div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l00779"></a><span class="lineno"> 779</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="ae8523c4d9b6c18744d46a98d4984a011"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae8523c4d9b6c18744d46a98d4984a011">◆ </a></span>IsBatchToSpaceNdSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsBatchToSpaceNdSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">BatchToSpaceNdDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l00781">781</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00785"></a><span class="lineno"> 785</span> {</div> +<div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  </div> +<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  </div> +<div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  std::string batchToSpaceNdLayerStr = <span class="stringliteral">"batchToSpaceNd"</span>;</div> +<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  std::string inputTensorStr = <span class="stringliteral">"input"</span>;</div> +<div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  std::string outputTensorStr = <span class="stringliteral">"output"</span>;</div> +<div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  </div> +<div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="comment">// Define supported types.</span></div> +<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  std::array<DataType,6> supportedTypes =</div> +<div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  {</div> +<div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  };</div> +<div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  </div> +<div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <span class="stringliteral">"Reference BatchToSpaceNd: input type not supported."</span>);</div> +<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  </div> +<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <span class="stringliteral">"Reference BatchToSpaceNd: output type not supported."</span>);</div> +<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  </div> +<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  <span class="stringliteral">"Reference BatchToSpaceNd: input and output types mismatched."</span>);</div> +<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  </div> +<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l00814"></a><span class="lineno"> 814</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="aa231780ff80202fedeb2998a787073b8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa231780ff80202fedeb2998a787073b8">◆ </a></span>IsBroadcastToSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsBroadcastToSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_broadcast_to_descriptor.html">BroadcastToDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l00816">816</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00820"></a><span class="lineno"> 820</span> {</div> +<div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  </div> +<div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  </div> +<div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  std::array<DataType, 8> supportedTypes</div> +<div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  {</div> +<div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> +<div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">DataType::Signed64</a></div> +<div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  };</div> +<div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  </div> +<div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  <span class="stringliteral">"BroadcastTo: input type not supported."</span>);</div> +<div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  </div> +<div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  <span class="stringliteral">"BroadcastTo: output type not supported"</span>);</div> +<div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  </div> +<div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l00844"></a><span class="lineno"> 844</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">armnn::Signed64</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a40767d1d9169c7f9c1f1ef2f2aa87133"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a40767d1d9169c7f9c1f1ef2f2aa87133">◆ </a></span>IsCastSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsCastSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l00846">846</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00849"></a><span class="lineno"> 849</span> {</div> +<div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  std::array<DataType, 10> supportedInputTypes =</div> +<div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  {</div> +<div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> +<div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">DataType::Signed64</a></div> +<div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  };</div> +<div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  </div> +<div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  <span class="stringliteral">"Reference cast: input is not a supported type"</span>);</div> +<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  </div> +<div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  </div> +<div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedInputTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  <span class="stringliteral">"Reference cast: output is not a supported type"</span>);</div> +<div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  </div> +<div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  <span class="stringliteral">"Reference cast: input and output shapes have different number of total elements"</span>);</div> +<div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  </div> +<div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l00874"></a><span class="lineno"> 874</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">armnn::Signed64</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="abe9e711bd5dc9844369d4c706e0d8b0a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abe9e711bd5dc9844369d4c706e0d8b0a">◆ </a></span>IsChannelShuffleSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsChannelShuffleSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_channel_shuffle_descriptor.html">ChannelShuffleDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l00876">876</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00880"></a><span class="lineno"> 880</span> {</div> +<div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  </div> +<div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  <span class="comment">// Define supported output and inputs types.</span></div> +<div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  std::array<DataType, 7> supportedTypes =</div> +<div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  {</div> +<div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  };</div> +<div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  </div> +<div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <span class="stringliteral">"Reference ChannelShuffle: input is not a supported type."</span>);</div> +<div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  </div> +<div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <span class="stringliteral">"Reference ChannelShuffle: output is not a supported type."</span>);</div> +<div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  </div> +<div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  <span class="stringliteral">"Reference ChannelShuffle: input and output types are mismatched."</span>);</div> +<div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  </div> +<div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l00905"></a><span class="lineno"> 905</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a17176599a09cab046bf452ea99b7db37"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a17176599a09cab046bf452ea99b7db37">◆ </a></span>IsComparisonSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsComparisonSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_comparison_descriptor.html">ComparisonDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l00908">908</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00913"></a><span class="lineno"> 913</span> {</div> +<div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  std::array<DataType, 8> supportedInputTypes =</div> +<div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  {</div> +<div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>,</div> +<div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  };</div> +<div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  </div> +<div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input0, supportedInputTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  <span class="stringliteral">"Reference comparison: input 0 is not a supported type"</span>);</div> +<div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  </div> +<div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, input1), reasonIfUnsupported,</div> +<div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  <span class="stringliteral">"Reference comparison: input 0 and Input 1 types are mismatched"</span>);</div> +<div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  </div> +<div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeIs(output, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>), reasonIfUnsupported,</div> +<div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  <span class="stringliteral">"Reference comparison: output is not of type Boolean"</span>);</div> +<div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  </div> +<div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l00937"></a><span class="lineno"> 937</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="ab56e4c49e3cbd6b486b4a9e6b89e6e0c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab56e4c49e3cbd6b486b4a9e6b89e6e0c">◆ </a></span>IsConcatSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsConcatSupported </td> + <td>(</td> + <td class="paramtype">const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * > </td> + <td class="paramname"><em>inputs</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_origins_descriptor.html">OriginsDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l00939">939</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00943"></a><span class="lineno"> 943</span> {</div> +<div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  </div> +<div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  std::array<DataType,7> supportedTypes =</div> +<div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  {</div> +<div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  };</div> +<div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  </div> +<div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  <span class="stringliteral">"Reference concatenation: output type not supported"</span>);</div> +<div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> TensorInfo* input : inputs)</div> +<div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  {</div> +<div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(input != <span class="keyword">nullptr</span>);</div> +<div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(*input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  <span class="stringliteral">"Reference concatenation: input type not supported"</span>);</div> +<div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  </div> +<div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(*input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  <span class="stringliteral">"Reference concatenation: input and output types mismatched."</span>);</div> +<div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  }</div> +<div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  </div> +<div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l00970"></a><span class="lineno"> 970</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a3741887d06449834eea19c00d1320f7c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3741887d06449834eea19c00d1320f7c">◆ </a></span>IsConstantSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsConstantSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l00972">972</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00974"></a><span class="lineno"> 974</span> {</div> +<div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  std::array<DataType,8> supportedTypes =</div> +<div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  {</div> +<div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  };</div> +<div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  </div> +<div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <span class="stringliteral">"Reference constant: output is not a supported type."</span>);</div> +<div class="line"><a name="l00988"></a><span class="lineno"> 988</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="ab4684a5f416ac243a4519f54e683b535"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab4684a5f416ac243a4519f54e683b535">◆ </a></span>IsConvertFp16ToFp32Supported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsConvertFp16ToFp32Supported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l00990">990</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00993"></a><span class="lineno"> 993</span> {</div> +<div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  <span class="keywordflow">return</span> (<a class="code" href="namespacearmnn.html#a23a5267702f036fe70a34f91e6c07490">IsSupportedForDataTypeGeneric</a>(reasonIfUnsupported,</div> +<div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  input.GetDataType(),</div> +<div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  &TrueFunc<>,</div> +<div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  &FalseInputFuncF32<>,</div> +<div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  &FalseFuncU8<>,</div> +<div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  &FalseFuncI32<>,</div> +<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  &FalseFuncU8<>) &&</div> +<div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <a class="code" href="namespacearmnn.html#a23a5267702f036fe70a34f91e6c07490">IsSupportedForDataTypeGeneric</a>(reasonIfUnsupported,</div> +<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  output.GetDataType(),</div> +<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  &FalseOutputFuncF16<>,</div> +<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  &TrueFunc<>,</div> +<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  &FalseFuncU8<>,</div> +<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  &FalseFuncI32<>,</div> +<div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  &FalseFuncU8<>));</div> +<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_tensor_8hpp_source.html#l00198">TensorInfo::GetDataType()</a>, and <a class="el" href="_layer_support_common_8hpp_source.html#l00027">armnn::IsSupportedForDataTypeGeneric()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a63cd5b66c276be0542571be736aaf7f5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a63cd5b66c276be0542571be736aaf7f5">◆ </a></span>IsConvertFp32ToFp16Supported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsConvertFp32ToFp16Supported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01010">1010</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span> {</div> +<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="keywordflow">return</span> (<a class="code" href="namespacearmnn.html#a23a5267702f036fe70a34f91e6c07490">IsSupportedForDataTypeGeneric</a>(reasonIfUnsupported,</div> +<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  input.GetDataType(),</div> +<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  &FalseInputFuncF16<>,</div> +<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  &TrueFunc<>,</div> +<div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  &FalseFuncU8<>,</div> +<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  &FalseFuncI32<>,</div> +<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  &FalseFuncU8<>) &&</div> +<div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  <a class="code" href="namespacearmnn.html#a23a5267702f036fe70a34f91e6c07490">IsSupportedForDataTypeGeneric</a>(reasonIfUnsupported,</div> +<div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  output.GetDataType(),</div> +<div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  &TrueFunc<>,</div> +<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  &FalseOutputFuncF32<>,</div> +<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  &FalseFuncU8<>,</div> +<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  &FalseFuncI32<>,</div> +<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  &FalseFuncU8<>));</div> +<div class="line"><a name="l01028"></a><span class="lineno"> 1028</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_tensor_8hpp_source.html#l00198">TensorInfo::GetDataType()</a>, and <a class="el" href="_layer_support_common_8hpp_source.html#l00027">armnn::IsSupportedForDataTypeGeneric()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a0e7afe178736bc0844695e051d12be51"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0e7afe178736bc0844695e051d12be51">◆ </a></span>IsConvolution2dSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsConvolution2dSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_convolution2d_descriptor.html">Convolution2dDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>weights</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> > & </td> + <td class="paramname"><em>biases</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01030">1030</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span> {</div> +<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  </div> +<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  <span class="comment">// Define supported types.</span></div> +<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  std::array<DataType,7> supportedTypes =</div> +<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  {</div> +<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  };</div> +<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  </div> +<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  <span class="stringliteral">"Reference Convolution2d: input is not a supported type."</span>);</div> +<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  </div> +<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <span class="stringliteral">"Reference Convolution2d: output is not a supported type."</span>);</div> +<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  </div> +<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  <span class="stringliteral">"Reference Convolution2d: input and output types mismatched."</span>);</div> +<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  </div> +<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  </div> +<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> inputType = input.GetDataType();</div> +<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#ad91bc7bfe29186f5d78c28386c6c5309">IsQuantized8BitType</a>(inputType))</div> +<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  {</div> +<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  std::array<DataType, 3> supportedWeightTypes =</div> +<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  {</div> +<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a></div> +<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  };</div> +<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  </div> +<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  <span class="stringliteral">"Reference Convolution2d: weights type not supported for quantized input."</span>);</div> +<div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>  }</div> +<div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  {</div> +<div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  <span class="stringliteral">"Reference Convolution2d: weights is not a supported type."</span>);</div> +<div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  </div> +<div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, weights), reasonIfUnsupported,</div> +<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  <span class="stringliteral">"Reference Convolution2d: input and weights types mismatched."</span>);</div> +<div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  }</div> +<div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  </div> +<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  <span class="keywordflow">if</span> (biases.has_value())</div> +<div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  {</div> +<div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  std::array<DataType,4> biasesSupportedTypes =</div> +<div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  {</div> +<div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  };</div> +<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  </div> +<div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  <span class="stringliteral">"Reference Convolution2d: biases is not a supported type."</span>);</div> +<div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  }</div> +<div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  </div> +<div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01097"></a><span class="lineno"> 1097</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00198">TensorInfo::GetDataType()</a>, <a class="el" href="_optional_8hpp_source.html#l00053">OptionalBase::has_value()</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_types_utils_8hpp_source.html#l00316">armnn::IsQuantized8BitType()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="_optional_8hpp_source.html#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a57927a58bc6bb87455b51a2786fe1b3b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a57927a58bc6bb87455b51a2786fe1b3b">◆ </a></span>IsConvolution3dSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsConvolution3dSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_convolution3d_descriptor.html">Convolution3dDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>weights</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> > & </td> + <td class="paramname"><em>biases</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01099">1099</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span> {</div> +<div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  </div> +<div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  <span class="comment">// Define supported types.</span></div> +<div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  std::array<DataType,7> supportedTypes =</div> +<div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  {</div> +<div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>  };</div> +<div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  </div> +<div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  <span class="stringliteral">"Reference Convolution3d: input is not a supported type."</span>);</div> +<div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  </div> +<div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  <span class="stringliteral">"Reference Convolution3d: output is not a supported type."</span>);</div> +<div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  </div> +<div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  <span class="stringliteral">"Reference Convolution3d: input and output types mismatched."</span>);</div> +<div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  </div> +<div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> inputType = input.GetDataType();</div> +<div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#ad91bc7bfe29186f5d78c28386c6c5309">IsQuantized8BitType</a>(inputType))</div> +<div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  {</div> +<div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  std::array<DataType, 3> supportedWeightTypes =</div> +<div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  {</div> +<div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a></div> +<div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  };</div> +<div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  </div> +<div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  <span class="stringliteral">"Reference Convolution3d: weights type not supported for quantized input."</span>);</div> +<div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>  }</div> +<div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>  {</div> +<div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  <span class="stringliteral">"Reference Convolution3d: weights is not a supported type."</span>);</div> +<div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>  </div> +<div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, weights), reasonIfUnsupported,</div> +<div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>  <span class="stringliteral">"Reference Convolution3d: input and weights types mismatched."</span>);</div> +<div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>  }</div> +<div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>  </div> +<div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>  <span class="keywordflow">if</span> (biases.has_value())</div> +<div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>  {</div> +<div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  std::array<DataType,4> biasesSupportedTypes =</div> +<div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  {</div> +<div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  };</div> +<div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>  </div> +<div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  <span class="stringliteral">"Reference Convolution3d: biases is not a supported type."</span>);</div> +<div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>  }</div> +<div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  </div> +<div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01165"></a><span class="lineno"> 1165</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00198">TensorInfo::GetDataType()</a>, <a class="el" href="_optional_8hpp_source.html#l00053">OptionalBase::has_value()</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_types_utils_8hpp_source.html#l00316">armnn::IsQuantized8BitType()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="_optional_8hpp_source.html#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="ad64886df8ea110d6636746780049a3ee"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad64886df8ea110d6636746780049a3ee">◆ </a></span>IsDebugSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsDebugSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01167">1167</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span> {</div> +<div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  </div> +<div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  std::array<DataType, 8> supportedTypes =</div> +<div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  {</div> +<div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> +<div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>  };</div> +<div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>  </div> +<div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  <span class="stringliteral">"Reference for Debug layer: input type not supported"</span>);</div> +<div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>  </div> +<div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  <span class="stringliteral">"Reference for Debug layer: output type not supported"</span>);</div> +<div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>  </div> +<div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  <span class="stringliteral">"Reference for Debug layer: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  </div> +<div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01195"></a><span class="lineno"> 1195</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a7ed10202fff7c54f2d5b27c3ecd21567"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7ed10202fff7c54f2d5b27c3ecd21567">◆ </a></span>IsDepthToSpaceSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsDepthToSpaceSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.html#a3647f60510bc8ddaced01c51b0ee8714">DepthToSpaceDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01197">1197</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01201"></a><span class="lineno"> 1201</span> {</div> +<div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>  </div> +<div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>  std::array<DataType,6> supportedTypes =</div> +<div class="line"><a name="l01206"></a><span class="lineno"> 1206</span>  {</div> +<div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>  };</div> +<div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>  </div> +<div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>  <span class="stringliteral">"Reference DepthToSpace: input type not supported"</span>);</div> +<div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>  </div> +<div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>  <span class="stringliteral">"Reference DepthToSpace: output type not supported"</span>);</div> +<div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>  </div> +<div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>  <span class="stringliteral">"Reference DepthToSpace: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  </div> +<div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01224"></a><span class="lineno"> 1224</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a8e778f7b99b33e242145ff2319ae585c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8e778f7b99b33e242145ff2319ae585c">◆ </a></span>IsDepthwiseConvolutionSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsDepthwiseConvolutionSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>weights</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> > & </td> + <td class="paramname"><em>biases</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01226">1226</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01232"></a><span class="lineno"> 1232</span> {</div> +<div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>  </div> +<div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>  <span class="comment">// Define supported types.</span></div> +<div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>  std::array<DataType,7> supportedTypes =</div> +<div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>  {</div> +<div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>  };</div> +<div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>  </div> +<div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: input is not a supported type."</span>);</div> +<div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>  </div> +<div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: output is not a supported type."</span>);</div> +<div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>  </div> +<div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: input and output types mismatched."</span>);</div> +<div class="line"><a name="l01255"></a><span class="lineno"> 1255</span>  </div> +<div class="line"><a name="l01256"></a><span class="lineno"> 1256</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> inputType = input.GetDataType();</div> +<div class="line"><a name="l01257"></a><span class="lineno"> 1257</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#ad91bc7bfe29186f5d78c28386c6c5309">IsQuantized8BitType</a>(inputType))</div> +<div class="line"><a name="l01258"></a><span class="lineno"> 1258</span>  {</div> +<div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>  std::array<DataType, 3> supportedWeightTypes =</div> +<div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>  {</div> +<div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>  };</div> +<div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>  </div> +<div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01267"></a><span class="lineno"> 1267</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: weights type not supported for "</span></div> +<div class="line"><a name="l01268"></a><span class="lineno"> 1268</span>  <span class="stringliteral">"quantized input."</span>);</div> +<div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>  }</div> +<div class="line"><a name="l01270"></a><span class="lineno"> 1270</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>  {</div> +<div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: weights is not a supported type."</span>);</div> +<div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>  </div> +<div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, weights), reasonIfUnsupported,</div> +<div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: input and weights types mismatched."</span>);</div> +<div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>  }</div> +<div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>  </div> +<div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>  <span class="keywordflow">if</span> (biases.has_value())</div> +<div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>  {</div> +<div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>  std::array<DataType,4> biasesSupportedTypes =</div> +<div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>  {</div> +<div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>  };</div> +<div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: biases is not a supported type."</span>);</div> +<div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>  }</div> +<div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>  </div> +<div class="line"><a name="l01291"></a><span class="lineno"> 1291</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>  </div> +<div class="line"><a name="l01293"></a><span class="lineno"> 1293</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00198">TensorInfo::GetDataType()</a>, <a class="el" href="_optional_8hpp_source.html#l00053">OptionalBase::has_value()</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_types_utils_8hpp_source.html#l00316">armnn::IsQuantized8BitType()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="_optional_8hpp_source.html#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l01362">RefLayerSupport::IsDilatedDepthwiseConvolutionSupported()</a>, and <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a25adbaea31c52a55a1fa3afa7546be02"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a25adbaea31c52a55a1fa3afa7546be02">◆ </a></span>IsDequantizeSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsDequantizeSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01295">1295</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01298"></a><span class="lineno"> 1298</span> {</div> +<div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>  </div> +<div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>  std::array<DataType,5> supportedInputTypes = {</div> +<div class="line"><a name="l01302"></a><span class="lineno"> 1302</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a></div> +<div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>  };</div> +<div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>  </div> +<div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>  <span class="stringliteral">"Reference for Dequantize layer: input type not supported."</span>);</div> +<div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>  </div> +<div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeNotPerAxisQuantized(input), reasonIfUnsupported,</div> +<div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>  <span class="stringliteral">"Reference for Dequantize layer: per-axis quantized input not supported."</span>);</div> +<div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>  </div> +<div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>  std::array<DataType,3> supportedOutputTypes = {</div> +<div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a></div> +<div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>  };</div> +<div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>  </div> +<div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>  <span class="stringliteral">"Reference for Dequantize layer: output type not supported."</span>);</div> +<div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>  </div> +<div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>  <span class="stringliteral">"Reference for Dequantize layer: input/output shapes have different num total "</span></div> +<div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>  <span class="stringliteral">"elements."</span>);</div> +<div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>  </div> +<div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01328"></a><span class="lineno"> 1328</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="accd2fb6b7713141313cfc310ea460a28"></a> +<h2 class="memtitle"><span class="permalink"><a href="#accd2fb6b7713141313cfc310ea460a28">◆ </a></span>IsDetectionPostProcessSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsDetectionPostProcessSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>boxEncodings</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>scores</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>anchors</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>detectionBoxes</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>detectionClasses</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>detectionScores</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>numDetections</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_detection_post_process_descriptor.html">DetectionPostProcessDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01330">1330</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01339"></a><span class="lineno"> 1339</span> {</div> +<div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(anchors, detectionBoxes, detectionClasses, detectionScores, numDetections, descriptor);</div> +<div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>  </div> +<div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>  </div> +<div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>  std::array<DataType,6> supportedInputTypes =</div> +<div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>  {</div> +<div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>  };</div> +<div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>  </div> +<div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(boxEncodings, supportedInputTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>  <span class="stringliteral">"Reference DetectionPostProcess: input 0 is not a supported type."</span>);</div> +<div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>  </div> +<div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(scores, supportedInputTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>  <span class="stringliteral">"Reference DetectionPostProcess: input 1 is not a supported type."</span>);</div> +<div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>  </div> +<div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01360"></a><span class="lineno"> 1360</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a61f414384bee3fe4ab1c06480dfb43ba"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a61f414384bee3fe4ab1c06480dfb43ba">◆ </a></span>IsDilatedDepthwiseConvolutionSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsDilatedDepthwiseConvolutionSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>weights</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> > & </td> + <td class="paramname"><em>biases</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01362">1362</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span> {</div> +<div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a8e778f7b99b33e242145ff2319ae585c">IsDepthwiseConvolutionSupported</a>(input, output, descriptor, weights, biases, reasonIfUnsupported);</div> +<div class="line"><a name="l01370"></a><span class="lineno"> 1370</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_ref_layer_support_8cpp_source.html#l01226">RefLayerSupport::IsDepthwiseConvolutionSupported()</a>.</p> + +</div> +</div> +<a id="aac1281b0616904d20dc397cfc5984e8b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aac1281b0616904d20dc397cfc5984e8b">◆ </a></span>IsDivisionSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsDivisionSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01372">1372</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01376"></a><span class="lineno"> 1376</span> {</div> +<div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>  </div> +<div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>  std::array<DataType,7> supportedTypes = {</div> +<div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01383"></a><span class="lineno"> 1383</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>  };</div> +<div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>  </div> +<div class="line"><a name="l01388"></a><span class="lineno"> 1388</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>  <span class="stringliteral">"Reference division: input 0 is not a supported type."</span>);</div> +<div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>  </div> +<div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>  <span class="stringliteral">"Reference division: input 1 is not a supported type."</span>);</div> +<div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>  </div> +<div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>  <span class="stringliteral">"Reference division: output is not a supported type."</span>);</div> +<div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>  </div> +<div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, input1), reasonIfUnsupported,</div> +<div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>  <span class="stringliteral">"Reference division: input 0 and Input 1 types are mismatched"</span>);</div> +<div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>  </div> +<div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>  <span class="stringliteral">"Reference division: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>  </div> +<div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>  <span class="stringliteral">"Reference division: shapes are not suitable for implicit broadcast."</span>);</div> +<div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>  </div> +<div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01407"></a><span class="lineno"> 1407</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a734a989302f92b63d717f2ac395c3eb9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a734a989302f92b63d717f2ac395c3eb9">◆ </a></span>IsElementwiseUnarySupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsElementwiseUnarySupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_elementwise_unary_descriptor.html">ElementwiseUnaryDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01409">1409</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01413"></a><span class="lineno"> 1413</span> {</div> +<div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>  </div> +<div class="line"><a name="l01416"></a><span class="lineno"> 1416</span>  std::array<DataType, 7> supportedTypes =</div> +<div class="line"><a name="l01417"></a><span class="lineno"> 1417</span>  {</div> +<div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01420"></a><span class="lineno"> 1420</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l01424"></a><span class="lineno"> 1424</span>  };</div> +<div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>  </div> +<div class="line"><a name="l01426"></a><span class="lineno"> 1426</span>  std::array<DataType, 1> logicalSupportedTypes =</div> +<div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>  {</div> +<div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a></div> +<div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>  };</div> +<div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>  </div> +<div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01432"></a><span class="lineno"> 1432</span>  </div> +<div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>  <span class="keywordflow">if</span> (descriptor.m_Operation == <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">UnaryOperation::LogicalNot</a>)</div> +<div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>  {</div> +<div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, logicalSupportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>  <span class="stringliteral">"Reference elementwise unary: input type not supported"</span>);</div> +<div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>  </div> +<div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, logicalSupportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>  <span class="stringliteral">"Reference elementwise unary: output type not supported"</span>);</div> +<div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>  }</div> +<div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>  {</div> +<div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>  <span class="stringliteral">"Reference elementwise unary: input type not supported"</span>);</div> +<div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>  </div> +<div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01447"></a><span class="lineno"> 1447</span>  <span class="stringliteral">"Reference elementwise unary: output type not supported"</span>);</div> +<div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>  }</div> +<div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>  </div> +<div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>  <span class="stringliteral">"Reference elementwise unary: input and output types not matching"</span>);</div> +<div class="line"><a name="l01452"></a><span class="lineno"> 1452</span>  </div> +<div class="line"><a name="l01453"></a><span class="lineno"> 1453</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01454"></a><span class="lineno"> 1454</span>  <span class="stringliteral">"Reference elementwise unary: input and output shapes"</span></div> +<div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>  <span class="stringliteral">"have different number of total elements"</span>);</div> +<div class="line"><a name="l01456"></a><span class="lineno"> 1456</span>  </div> +<div class="line"><a name="l01457"></a><span class="lineno"> 1457</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01458"></a><span class="lineno"> 1458</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">armnn::LogicalNot</a>, <a class="el" href="_descriptors_8hpp_source.html#l00145">ElementwiseUnaryDescriptor::m_Operation</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a603040030365f52a95c50f51fb53f927"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a603040030365f52a95c50f51fb53f927">◆ </a></span>IsFakeQuantizationSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsFakeQuantizationSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_fake_quantization_descriptor.html">FakeQuantizationDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01460">1460</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01463"></a><span class="lineno"> 1463</span> {</div> +<div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l01465"></a><span class="lineno"> 1465</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01466"></a><span class="lineno"> 1466</span>  </div> +<div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>  std::array<DataType,1> supportedTypes =</div> +<div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>  {</div> +<div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a></div> +<div class="line"><a name="l01470"></a><span class="lineno"> 1470</span>  };</div> +<div class="line"><a name="l01471"></a><span class="lineno"> 1471</span>  </div> +<div class="line"><a name="l01472"></a><span class="lineno"> 1472</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>  <span class="stringliteral">"Reference fake quantization: input type not supported."</span>);</div> +<div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>  </div> +<div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01476"></a><span class="lineno"> 1476</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, and <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="ad557f8fa58e751c93cf271691834ca52"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad557f8fa58e751c93cf271691834ca52">◆ </a></span>IsFillSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsFillSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_fill_descriptor.html">FillDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01478">1478</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01482"></a><span class="lineno"> 1482</span> {</div> +<div class="line"><a name="l01483"></a><span class="lineno"> 1483</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l01484"></a><span class="lineno"> 1484</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(output);</div> +<div class="line"><a name="l01485"></a><span class="lineno"> 1485</span>  </div> +<div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01487"></a><span class="lineno"> 1487</span>  </div> +<div class="line"><a name="l01488"></a><span class="lineno"> 1488</span>  std::array<DataType,3> supportedTypes =</div> +<div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>  {</div> +<div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01492"></a><span class="lineno"> 1492</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>  };</div> +<div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>  </div> +<div class="line"><a name="l01495"></a><span class="lineno"> 1495</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeIs(input, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>), reasonIfUnsupported,</div> +<div class="line"><a name="l01496"></a><span class="lineno"> 1496</span>  <span class="stringliteral">"Reference Fill: input type not supported."</span>);</div> +<div class="line"><a name="l01497"></a><span class="lineno"> 1497</span>  </div> +<div class="line"><a name="l01498"></a><span class="lineno"> 1498</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01499"></a><span class="lineno"> 1499</span>  <span class="stringliteral">"Reference Fill: output type not supported."</span>);</div> +<div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01501"></a><span class="lineno"> 1501</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="aca92095e6a26d7f451042795afabea5b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aca92095e6a26d7f451042795afabea5b">◆ </a></span>IsFloorSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsFloorSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01503">1503</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01506"></a><span class="lineno"> 1506</span> {</div> +<div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(output);</div> +<div class="line"><a name="l01508"></a><span class="lineno"> 1508</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01509"></a><span class="lineno"> 1509</span>  </div> +<div class="line"><a name="l01510"></a><span class="lineno"> 1510</span>  std::array<DataType,3> supportedTypes =</div> +<div class="line"><a name="l01511"></a><span class="lineno"> 1511</span>  {</div> +<div class="line"><a name="l01512"></a><span class="lineno"> 1512</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01513"></a><span class="lineno"> 1513</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a></div> +<div class="line"><a name="l01514"></a><span class="lineno"> 1514</span>  };</div> +<div class="line"><a name="l01515"></a><span class="lineno"> 1515</span>  </div> +<div class="line"><a name="l01516"></a><span class="lineno"> 1516</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01517"></a><span class="lineno"> 1517</span>  <span class="stringliteral">"Reference Floor: input type not supported."</span>);</div> +<div class="line"><a name="l01518"></a><span class="lineno"> 1518</span>  </div> +<div class="line"><a name="l01519"></a><span class="lineno"> 1519</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>  <span class="stringliteral">"Reference Floor: output type not supported."</span>);</div> +<div class="line"><a name="l01521"></a><span class="lineno"> 1521</span>  </div> +<div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01523"></a><span class="lineno"> 1523</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, and <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a6bb173cc16cd16909254787311c19995"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6bb173cc16cd16909254787311c19995">◆ </a></span>IsFullyConnectedSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsFullyConnectedSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>weights</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>biases</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_fully_connected_descriptor.html">FullyConnectedDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01525">1525</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01531"></a><span class="lineno"> 1531</span> {</div> +<div class="line"><a name="l01532"></a><span class="lineno"> 1532</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01533"></a><span class="lineno"> 1533</span>  </div> +<div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>  <span class="comment">// Define supported types.</span></div> +<div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>  std::array<DataType,6> supportedTypes =</div> +<div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>  {</div> +<div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01541"></a><span class="lineno"> 1541</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l01542"></a><span class="lineno"> 1542</span>  };</div> +<div class="line"><a name="l01543"></a><span class="lineno"> 1543</span>  </div> +<div class="line"><a name="l01544"></a><span class="lineno"> 1544</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01545"></a><span class="lineno"> 1545</span>  <span class="stringliteral">"Reference Fully Connected: input type not supported."</span>);</div> +<div class="line"><a name="l01546"></a><span class="lineno"> 1546</span>  </div> +<div class="line"><a name="l01547"></a><span class="lineno"> 1547</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01548"></a><span class="lineno"> 1548</span>  <span class="stringliteral">"Reference Fully Connected: output type not supported."</span>);</div> +<div class="line"><a name="l01549"></a><span class="lineno"> 1549</span>  </div> +<div class="line"><a name="l01550"></a><span class="lineno"> 1550</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01551"></a><span class="lineno"> 1551</span>  <span class="stringliteral">"Reference Fully Connected: weights type not supported."</span>);</div> +<div class="line"><a name="l01552"></a><span class="lineno"> 1552</span>  </div> +<div class="line"><a name="l01553"></a><span class="lineno"> 1553</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01554"></a><span class="lineno"> 1554</span>  <span class="stringliteral">"Reference Fully Connected: input and output types mismatched."</span>);</div> +<div class="line"><a name="l01555"></a><span class="lineno"> 1555</span>  </div> +<div class="line"><a name="l01556"></a><span class="lineno"> 1556</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01557"></a><span class="lineno"> 1557</span>  <span class="stringliteral">"Reference Fully Connected: weights is not a supported type."</span>);</div> +<div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>  </div> +<div class="line"><a name="l01559"></a><span class="lineno"> 1559</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, weights), reasonIfUnsupported,</div> +<div class="line"><a name="l01560"></a><span class="lineno"> 1560</span>  <span class="stringliteral">"Reference Fully Connected: input and weights types mismatched."</span>);</div> +<div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>  </div> +<div class="line"><a name="l01562"></a><span class="lineno"> 1562</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div> +<div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>  {</div> +<div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>  <span class="comment">// Defined supported types for bias</span></div> +<div class="line"><a name="l01565"></a><span class="lineno"> 1565</span>  std::array<DataType, 5></div> +<div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>  supportedBiasTypes =</div> +<div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>  {</div> +<div class="line"><a name="l01568"></a><span class="lineno"> 1568</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01569"></a><span class="lineno"> 1569</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01570"></a><span class="lineno"> 1570</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> +<div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a></div> +<div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>  };</div> +<div class="line"><a name="l01573"></a><span class="lineno"> 1573</span>  </div> +<div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(biases, supportedBiasTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>  <span class="stringliteral">"Reference Fully Connected: bias type not supported."</span>);</div> +<div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>  </div> +<div class="line"><a name="l01577"></a><span class="lineno"> 1577</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(BiasAndWeightsTypesMatch(biases, weights), reasonIfUnsupported,</div> +<div class="line"><a name="l01578"></a><span class="lineno"> 1578</span>  <span class="stringliteral">"Reference Fully Connected: bias and weight types mismatch."</span>);</div> +<div class="line"><a name="l01579"></a><span class="lineno"> 1579</span>  </div> +<div class="line"><a name="l01580"></a><span class="lineno"> 1580</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(BiasAndWeightsTypesCompatible(weights, supportedBiasTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01581"></a><span class="lineno"> 1581</span>  <span class="stringliteral">"Reference Fully Connected: bias type inferred from weights is incompatible."</span>);</div> +<div class="line"><a name="l01582"></a><span class="lineno"> 1582</span>  </div> +<div class="line"><a name="l01583"></a><span class="lineno"> 1583</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TensorNumDimensionsAreCorrect(biases, 1U), reasonIfUnsupported,</div> +<div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>  <span class="stringliteral">"Reference Fully Connected: bias must have 1 dimension."</span>);</div> +<div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>  </div> +<div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>  }</div> +<div class="line"><a name="l01587"></a><span class="lineno"> 1587</span>  </div> +<div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01589"></a><span class="lineno"> 1589</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_descriptors_8hpp_source.html#l00526">FullyConnectedDescriptor::m_BiasEnabled</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a2a89cbdac994b2cc7d15eb74a6476351"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2a89cbdac994b2cc7d15eb74a6476351">◆ </a></span>IsGatherNdSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsGatherNdSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01591">1591</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01595"></a><span class="lineno"> 1595</span> {</div> +<div class="line"><a name="l01596"></a><span class="lineno"> 1596</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01597"></a><span class="lineno"> 1597</span>  std::array<DataType,7> supportedTypes =</div> +<div class="line"><a name="l01598"></a><span class="lineno"> 1598</span>  {</div> +<div class="line"><a name="l01599"></a><span class="lineno"> 1599</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01600"></a><span class="lineno"> 1600</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01602"></a><span class="lineno"> 1602</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l01604"></a><span class="lineno"> 1604</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l01605"></a><span class="lineno"> 1605</span>  };</div> +<div class="line"><a name="l01606"></a><span class="lineno"> 1606</span>  </div> +<div class="line"><a name="l01607"></a><span class="lineno"> 1607</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01608"></a><span class="lineno"> 1608</span>  <span class="stringliteral">"Reference GatherNd: input type not supported"</span>);</div> +<div class="line"><a name="l01609"></a><span class="lineno"> 1609</span>  </div> +<div class="line"><a name="l01610"></a><span class="lineno"> 1610</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01611"></a><span class="lineno"> 1611</span>  <span class="stringliteral">"Reference GatherNd: output type not supported"</span>);</div> +<div class="line"><a name="l01612"></a><span class="lineno"> 1612</span>  </div> +<div class="line"><a name="l01613"></a><span class="lineno"> 1613</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeIs(input1, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>), reasonIfUnsupported,</div> +<div class="line"><a name="l01614"></a><span class="lineno"> 1614</span>  <span class="stringliteral">"Reference GatherNd: indices (input1) type not supported"</span>);</div> +<div class="line"><a name="l01615"></a><span class="lineno"> 1615</span>  </div> +<div class="line"><a name="l01616"></a><span class="lineno"> 1616</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01617"></a><span class="lineno"> 1617</span>  <span class="stringliteral">"Reference GatherNd: input and output types not matching"</span>);</div> +<div class="line"><a name="l01618"></a><span class="lineno"> 1618</span>  </div> +<div class="line"><a name="l01619"></a><span class="lineno"> 1619</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01620"></a><span class="lineno"> 1620</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a0f58d59316606a2de39bbafe7569378c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0f58d59316606a2de39bbafe7569378c">◆ </a></span>IsGatherSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsGatherSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_gather_descriptor.html">GatherDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01622">1622</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01627"></a><span class="lineno"> 1627</span> {</div> +<div class="line"><a name="l01628"></a><span class="lineno"> 1628</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01629"></a><span class="lineno"> 1629</span>  std::array<DataType,7> supportedTypes =</div> +<div class="line"><a name="l01630"></a><span class="lineno"> 1630</span>  {</div> +<div class="line"><a name="l01631"></a><span class="lineno"> 1631</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01632"></a><span class="lineno"> 1632</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01633"></a><span class="lineno"> 1633</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01634"></a><span class="lineno"> 1634</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01635"></a><span class="lineno"> 1635</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l01636"></a><span class="lineno"> 1636</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l01637"></a><span class="lineno"> 1637</span>  };</div> +<div class="line"><a name="l01638"></a><span class="lineno"> 1638</span>  </div> +<div class="line"><a name="l01639"></a><span class="lineno"> 1639</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l01640"></a><span class="lineno"> 1640</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01641"></a><span class="lineno"> 1641</span>  <span class="stringliteral">"Reference Gather: input type not supported"</span>);</div> +<div class="line"><a name="l01642"></a><span class="lineno"> 1642</span>  </div> +<div class="line"><a name="l01643"></a><span class="lineno"> 1643</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01644"></a><span class="lineno"> 1644</span>  <span class="stringliteral">"Reference Gather: output type not supported"</span>);</div> +<div class="line"><a name="l01645"></a><span class="lineno"> 1645</span>  </div> +<div class="line"><a name="l01646"></a><span class="lineno"> 1646</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeIs(input1, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>), reasonIfUnsupported,</div> +<div class="line"><a name="l01647"></a><span class="lineno"> 1647</span>  <span class="stringliteral">"Reference Gather: indices (input1) type not supported"</span>);</div> +<div class="line"><a name="l01648"></a><span class="lineno"> 1648</span>  </div> +<div class="line"><a name="l01649"></a><span class="lineno"> 1649</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01650"></a><span class="lineno"> 1650</span>  <span class="stringliteral">"Reference Gather: input and output types not matching"</span>);</div> +<div class="line"><a name="l01651"></a><span class="lineno"> 1651</span>  </div> +<div class="line"><a name="l01652"></a><span class="lineno"> 1652</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01653"></a><span class="lineno"> 1653</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a9546ae76bc4ba8a05f1c441be22ae546"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9546ae76bc4ba8a05f1c441be22ae546">◆ </a></span>IsInputSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsInputSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01655">1655</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01657"></a><span class="lineno"> 1657</span> {</div> +<div class="line"><a name="l01658"></a><span class="lineno"> 1658</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l01659"></a><span class="lineno"> 1659</span> }</div> +</div><!-- fragment --> +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a96f76305323bd5f2c9f8e2850a327f95"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a96f76305323bd5f2c9f8e2850a327f95">◆ </a></span>IsInstanceNormalizationSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsInstanceNormalizationSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_instance_normalization_descriptor.html">InstanceNormalizationDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01661">1661</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01665"></a><span class="lineno"> 1665</span> {</div> +<div class="line"><a name="l01666"></a><span class="lineno"> 1666</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l01667"></a><span class="lineno"> 1667</span>  <span class="comment">// Define supported types</span></div> +<div class="line"><a name="l01668"></a><span class="lineno"> 1668</span>  std::array<DataType, 3> supportedTypes =</div> +<div class="line"><a name="l01669"></a><span class="lineno"> 1669</span>  {</div> +<div class="line"><a name="l01670"></a><span class="lineno"> 1670</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01671"></a><span class="lineno"> 1671</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a></div> +<div class="line"><a name="l01672"></a><span class="lineno"> 1672</span>  };</div> +<div class="line"><a name="l01673"></a><span class="lineno"> 1673</span>  </div> +<div class="line"><a name="l01674"></a><span class="lineno"> 1674</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01675"></a><span class="lineno"> 1675</span>  </div> +<div class="line"><a name="l01676"></a><span class="lineno"> 1676</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01677"></a><span class="lineno"> 1677</span>  <span class="stringliteral">"Reference Instance Normalization: input type not supported."</span>);</div> +<div class="line"><a name="l01678"></a><span class="lineno"> 1678</span>  </div> +<div class="line"><a name="l01679"></a><span class="lineno"> 1679</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01680"></a><span class="lineno"> 1680</span>  <span class="stringliteral">"Reference Instance Normalization: output type not supported."</span>);</div> +<div class="line"><a name="l01681"></a><span class="lineno"> 1681</span>  </div> +<div class="line"><a name="l01682"></a><span class="lineno"> 1682</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01683"></a><span class="lineno"> 1683</span>  <span class="stringliteral">"Reference Instance Normalization: input and output types mismatched."</span>);</div> +<div class="line"><a name="l01684"></a><span class="lineno"> 1684</span>  </div> +<div class="line"><a name="l01685"></a><span class="lineno"> 1685</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01686"></a><span class="lineno"> 1686</span>  <span class="stringliteral">"Reference Instance Normalization: input and output shapes have different "</span></div> +<div class="line"><a name="l01687"></a><span class="lineno"> 1687</span>  <span class="stringliteral">"num total elements."</span>);</div> +<div class="line"><a name="l01688"></a><span class="lineno"> 1688</span>  </div> +<div class="line"><a name="l01689"></a><span class="lineno"> 1689</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01690"></a><span class="lineno"> 1690</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, and <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="acc5b87bee8889258d7289f009e754d3d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acc5b87bee8889258d7289f009e754d3d">◆ </a></span>IsL2NormalizationSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsL2NormalizationSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_l2_normalization_descriptor.html">L2NormalizationDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01692">1692</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01696"></a><span class="lineno"> 1696</span> {</div> +<div class="line"><a name="l01697"></a><span class="lineno"> 1697</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l01698"></a><span class="lineno"> 1698</span>  <span class="comment">// Define supported types</span></div> +<div class="line"><a name="l01699"></a><span class="lineno"> 1699</span>  std::array<DataType, 6> supportedTypes =</div> +<div class="line"><a name="l01700"></a><span class="lineno"> 1700</span>  {</div> +<div class="line"><a name="l01701"></a><span class="lineno"> 1701</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01702"></a><span class="lineno"> 1702</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01703"></a><span class="lineno"> 1703</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01704"></a><span class="lineno"> 1704</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01705"></a><span class="lineno"> 1705</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l01706"></a><span class="lineno"> 1706</span>  };</div> +<div class="line"><a name="l01707"></a><span class="lineno"> 1707</span>  </div> +<div class="line"><a name="l01708"></a><span class="lineno"> 1708</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01709"></a><span class="lineno"> 1709</span>  </div> +<div class="line"><a name="l01710"></a><span class="lineno"> 1710</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01711"></a><span class="lineno"> 1711</span>  <span class="stringliteral">"Reference L2normalization: input type not supported."</span>);</div> +<div class="line"><a name="l01712"></a><span class="lineno"> 1712</span>  </div> +<div class="line"><a name="l01713"></a><span class="lineno"> 1713</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01714"></a><span class="lineno"> 1714</span>  <span class="stringliteral">"Reference L2normalization: output type not supported."</span>);</div> +<div class="line"><a name="l01715"></a><span class="lineno"> 1715</span>  </div> +<div class="line"><a name="l01716"></a><span class="lineno"> 1716</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01717"></a><span class="lineno"> 1717</span>  <span class="stringliteral">"Reference L2normalization: input and output types mismatched."</span>);</div> +<div class="line"><a name="l01718"></a><span class="lineno"> 1718</span>  </div> +<div class="line"><a name="l01719"></a><span class="lineno"> 1719</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01720"></a><span class="lineno"> 1720</span>  <span class="stringliteral">"Reference L2normalization: input and output shapes have different "</span></div> +<div class="line"><a name="l01721"></a><span class="lineno"> 1721</span>  <span class="stringliteral">"num total elements."</span>);</div> +<div class="line"><a name="l01722"></a><span class="lineno"> 1722</span>  </div> +<div class="line"><a name="l01723"></a><span class="lineno"> 1723</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01724"></a><span class="lineno"> 1724</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a1e128c847b11f20fdedc72ec2951424f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1e128c847b11f20fdedc72ec2951424f">◆ </a></span>IsLayerSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsLayerSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> & </td> + <td class="paramname"><em>type</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> > & </td> + <td class="paramname"><em>infos</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_base_descriptor.html">BaseDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> > & </td> + <td class="paramname"><em>lstmParamsInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="structarmnn_1_1_quantized_lstm_input_params_info.html">QuantizedLstmInputParamsInfo</a> > & </td> + <td class="paramname"><em>quantizedLstmParamsInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> </td> + </tr> + <tr> + <td></td> + <td>)</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>Default implementation of the <a class="el" href="classarmnn_1_1_i_layer_support.html">ILayerSupport</a> interface, Backends should implement this as a switch statement for each of their LayerTypes calling their specific backend implementation of IsXXXLayerSupported. </p> + +<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer_support_base.html#a4da81c0c187071252d23c014db1c867d">LayerSupportBase</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">61</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> {</div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">switch</span> (type)</div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>:</div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a963c34790fb5214b51b16b69d36fe3c8">IsActivationSupported</a>(infos[0],</div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  infos[1],</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  *(PolymorphicDowncast<const ActivationDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>:</div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#afaadd7f7db4d8827890b4cedaf3bac8e">IsAdditionSupported</a>(infos[0], infos[1], infos[2], reasonIfUnsupported);</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">LayerType::ArgMinMax</a>:</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a36da5a4ac8ecbf58821989af2c289e59">IsArgMinMaxSupported</a>(infos[0],</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  infos[1],</div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  *(PolymorphicDowncast<const ArgMinMaxDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">LayerType::BatchMatMul</a>:</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a22cfc1d5f68bd32db0aa126e8fd9e615">IsBatchMatMulSupported</a>(infos[0],</div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  infos[1],</div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  infos[2],</div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  *(PolymorphicDowncast<const BatchMatMulDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a>:</div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#aefe6105143396c8fd46f29266c63d948">IsBatchNormalizationSupported</a>(infos[0],</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  infos[1],</div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  infos[2],</div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  infos[3],</div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  infos[4],</div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  infos[5],</div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  *(PolymorphicDowncast<const BatchNormalizationDescriptor*></div> +<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  (&descriptor)),</div> +<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">LayerType::BatchToSpaceNd</a>:</div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#ae8523c4d9b6c18744d46a98d4984a011">IsBatchToSpaceNdSupported</a>(infos[0],</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  infos[1],</div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  *(PolymorphicDowncast<const BatchToSpaceNdDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6f7ce1d0822dea293ac2edc111e54ed">LayerType::BroadcastTo</a>:</div> +<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#aa231780ff80202fedeb2998a787073b8">IsBroadcastToSupported</a>(infos[0],</div> +<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  infos[1],</div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  *(PolymorphicDowncast<const BroadcastToDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">LayerType::Comparison</a>:</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a17176599a09cab046bf452ea99b7db37">IsComparisonSupported</a>(infos[0],</div> +<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  infos[1],</div> +<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  infos[2],</div> +<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  *(PolymorphicDowncast<const ComparisonDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">LayerType::Concat</a>:</div> +<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  {</div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  std::vector<const TensorInfo*> inputInfos;</div> +<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < (infos.size() - 1); i++)</div> +<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  {</div> +<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  inputInfos.push_back(&infos[i]);</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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#ab56e4c49e3cbd6b486b4a9e6b89e6e0c">IsConcatSupported</a>(inputInfos,</div> +<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  infos[infos.size() - 1],</div> +<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  *(PolymorphicDowncast<const OriginsDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  }</div> +<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>:</div> +<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a3741887d06449834eea19c00d1320f7c">IsConstantSupported</a>(infos[0], reasonIfUnsupported);</div> +<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a>:</div> +<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#ab4684a5f416ac243a4519f54e683b535">IsConvertFp16ToFp32Supported</a>(infos[0], infos[1], reasonIfUnsupported);</div> +<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a>:</div> +<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a63cd5b66c276be0542571be736aaf7f5">IsConvertFp32ToFp16Supported</a>(infos[0], infos[1], reasonIfUnsupported);</div> +<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>:</div> +<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  {</div> +<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">if</span> (infos.size() != 4)</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>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of Convolution2d TensorInfos. "</span></div> +<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="stringliteral">"TensorInfos should be of format: {input, output, weights, biases}."</span>);</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>  </div> +<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">auto</span> desc = *(PolymorphicDowncast<const Convolution2dDescriptor*>(&descriptor));</div> +<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">if</span> (infos[3] == TensorInfo())</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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a0e7afe178736bc0844695e051d12be51">IsConvolution2dSupported</a>(infos[0],</div> +<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  infos[1],</div> +<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  desc,</div> +<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  infos[2],</div> +<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  EmptyOptional(),</div> +<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  reasonIfUnsupported);</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>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  {</div> +<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a0e7afe178736bc0844695e051d12be51">IsConvolution2dSupported</a>(infos[0],</div> +<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  infos[1],</div> +<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  desc,</div> +<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  infos[2],</div> +<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  infos[3],</div> +<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  }</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">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">LayerType::DepthToSpace</a>:</div> +<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a7ed10202fff7c54f2d5b27c3ecd21567">IsDepthToSpaceSupported</a>(infos[0],</div> +<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  infos[1],</div> +<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  *(PolymorphicDowncast<const DepthToSpaceDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</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">if</span> (infos.size() != 4)</div> +<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  {</div> +<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of DepthwiseConvolution2d TensorInfos. "</span></div> +<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="stringliteral">"TensorInfos should be of format: {input, output, weights, biases}."</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>  </div> +<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">auto</span> desc = *(PolymorphicDowncast<const DepthwiseConvolution2dDescriptor*>(&descriptor));</div> +<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">if</span> (infos[3] == TensorInfo())</div> +<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  {</div> +<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a8e778f7b99b33e242145ff2319ae585c">IsDepthwiseConvolutionSupported</a>(infos[0],</div> +<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  infos[1],</div> +<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  desc,</div> +<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  infos[2],</div> +<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  EmptyOptional(),</div> +<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  }</div> +<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordflow">else</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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a8e778f7b99b33e242145ff2319ae585c">IsDepthwiseConvolutionSupported</a>(infos[0],</div> +<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  infos[1],</div> +<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  desc,</div> +<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  infos[2],</div> +<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  infos[3],</div> +<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  reasonIfUnsupported);</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">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">LayerType::Dequantize</a>:</div> +<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a25adbaea31c52a55a1fa3afa7546be02">IsDequantizeSupported</a>(infos[0], infos[1], reasonIfUnsupported);</div> +<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>:</div> +<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#aac1281b0616904d20dc397cfc5984e8b">IsDivisionSupported</a>(infos[0], infos[1], infos[2], reasonIfUnsupported);</div> +<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>:</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>  std::array<DataType, 7> supportedTypes =</div> +<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  {</div> +<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  };</div> +<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  </div> +<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(infos[0], supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="stringliteral">"Reference elementwise unary: input type not supported"</span>);</div> +<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  </div> +<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(infos[1], supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="stringliteral">"Reference elementwise unary: input type not supported"</span>);</div> +<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  </div> +<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(infos[2], supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="stringliteral">"Reference elementwise unary: output type not supported"</span>);</div> +<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>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(infos[0], infos[1]), reasonIfUnsupported,</div> +<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="stringliteral">"Reference elementwise unary: input types not matching"</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>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(infos[0], infos[2]), reasonIfUnsupported,</div> +<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="stringliteral">"Reference elementwise unary: input and output types not matching"</span>);</div> +<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  </div> +<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">return</span> supported;</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">LayerType::ElementwiseUnary</a>:</div> +<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a734a989302f92b63d717f2ac395c3eb9">IsElementwiseUnarySupported</a>(infos[0],</div> +<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  infos[1],</div> +<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  *(PolymorphicDowncast<const ElementwiseUnaryDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">LayerType::Fill</a>:</div> +<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#ad557f8fa58e751c93cf271691834ca52">IsFillSupported</a>(infos[0],</div> +<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  infos[1],</div> +<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  *(PolymorphicDowncast<const FillDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">LayerType::Floor</a>:</div> +<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#aca92095e6a26d7f451042795afabea5b">IsFloorSupported</a>(infos[0], infos[1], reasonIfUnsupported);</div> +<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>:</div> +<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a6bb173cc16cd16909254787311c19995">IsFullyConnectedSupported</a>(infos[0],</div> +<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  infos[1],</div> +<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  infos[2],</div> +<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  infos[3],</div> +<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  *(PolymorphicDowncast<const FullyConnectedDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">LayerType::Gather</a>:</div> +<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a0f58d59316606a2de39bbafe7569378c">IsGatherSupported</a>(infos[0],</div> +<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  infos[1],</div> +<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  infos[2],</div> +<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  *(PolymorphicDowncast<const GatherDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">LayerType::GatherNd</a>:</div> +<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a2a89cbdac994b2cc7d15eb74a6476351">IsGatherNdSupported</a>(infos[0],</div> +<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  infos[1],</div> +<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  infos[2],</div> +<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>:</div> +<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a9546ae76bc4ba8a05f1c441be22ae546">IsInputSupported</a>(infos[0], reasonIfUnsupported);</div> +<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">LayerType::InstanceNormalization</a>:</div> +<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a96f76305323bd5f2c9f8e2850a327f95">IsInstanceNormalizationSupported</a>(infos[0],</div> +<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  infos[1],</div> +<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  *(PolymorphicDowncast<const InstanceNormalizationDescriptor*></div> +<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  (&descriptor)),</div> +<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">LayerType::L2Normalization</a>:</div> +<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#acc5b87bee8889258d7289f009e754d3d">IsL2NormalizationSupported</a>(infos[0],</div> +<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  infos[1],</div> +<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  *(PolymorphicDowncast<const L2NormalizationDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">LayerType::LogicalBinary</a>:</div> +<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a83f61b022e9544d0c1f5110cd28ae502">IsLogicalBinarySupported</a>(infos[0],</div> +<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  infos[1],</div> +<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  infos[2],</div> +<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  *(PolymorphicDowncast<const LogicalBinaryDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</a>:</div> +<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a91c358cdf313fc39ec0cedece89faac3">IsLogSoftmaxSupported</a>(infos[0],</div> +<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  infos[1],</div> +<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  *(PolymorphicDowncast<const LogSoftmaxDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">LayerType::Lstm</a>:</div> +<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#ad5adeb0c9d1cf403d5cd2eadf4585155">IsLstmSupported</a>(infos[0],</div> +<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  infos[1],</div> +<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  infos[2],</div> +<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  infos[3],</div> +<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  infos[4],</div> +<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  infos[5],</div> +<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  infos[6],</div> +<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  *(PolymorphicDowncast<const LstmDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  lstmParamsInfo.value(),</div> +<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">LayerType::QLstm</a>:</div> +<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a07cd270641b5876471c8ba9e77bc3abe">IsQLstmSupported</a>(infos[0],</div> +<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  infos[1],</div> +<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  infos[2],</div> +<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  infos[3],</div> +<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  infos[4],</div> +<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  infos[5],</div> +<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  *(PolymorphicDowncast<const QLstmDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  lstmParamsInfo.value(),</div> +<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">LayerType::Maximum</a>:</div> +<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a3a8e66320bb329f751e0f08fa970cd61">IsMaximumSupported</a>(infos[0], infos[1], infos[2], reasonIfUnsupported);</div> +<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">LayerType::Mean</a>:</div> +<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a007299b48d001bbdaefe525566b21c8e">IsMeanSupported</a>(infos[0],</div> +<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  infos[1],</div> +<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  *(PolymorphicDowncast<const MeanDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">LayerType::Minimum</a>:</div> +<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a68ddd3634fa7ce3a1eea8d7cc5adc9f0">IsMinimumSupported</a>(infos[0], infos[1], infos[2], reasonIfUnsupported);</div> +<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a>:</div> +<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a030c7a65a5c26b93c57b30e3c9d6a80b">IsMultiplicationSupported</a>(infos[0], infos[1], infos[2], reasonIfUnsupported);</div> +<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">LayerType::Normalization</a>:</div> +<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#af77622c468f95d7cbc05b7d6f6e83830">IsNormalizationSupported</a>(infos[0],</div> +<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  infos[1],</div> +<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  *(PolymorphicDowncast<const NormalizationDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>:</div> +<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a3b1efcbd2ac79d53fa0db56831095cd6">IsOutputSupported</a>(infos[0], reasonIfUnsupported);</div> +<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">LayerType::Pad</a>:</div> +<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a649ebe27288d2e62ed0069c0f1d941b8">IsPadSupported</a>(infos[0],</div> +<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  infos[1],</div> +<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  *(PolymorphicDowncast<const PadDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">LayerType::Permute</a>:</div> +<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a5d06aa3102f630eeff127195693810e8">IsPermuteSupported</a>(infos[0],</div> +<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  infos[1],</div> +<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  *(PolymorphicDowncast<const PermuteDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a>:</div> +<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a5e11a11243484e16c20247e3e0d4f890">IsPooling2dSupported</a>(infos[0],</div> +<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  infos[1],</div> +<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  *(PolymorphicDowncast<const Pooling2dDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">LayerType::Prelu</a>:</div> +<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a98b405bfcfb15d1aa09042ffc370f370">IsPreluSupported</a>(infos[0], infos[1], infos[2], reasonIfUnsupported);</div> +<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">LayerType::Quantize</a>:</div> +<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a7c739d08cf4fe3f9adef635be0544362">IsQuantizeSupported</a>(infos[0], infos[1], reasonIfUnsupported);</div> +<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>:</div> +<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#ae96fb1672cadd4e9b87809004799b6da">IsReshapeSupported</a>(infos[0],</div> +<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  infos[1],</div> +<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  *(PolymorphicDowncast<const ReshapeDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">LayerType::Resize</a>:</div> +<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a85e08ffdec56499a2f78859229b51aa4">IsResizeSupported</a>(infos[0],</div> +<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  infos[1],</div> +<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  *(PolymorphicDowncast<const ResizeDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295">LayerType::ReverseV2</a>:</div> +<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a138eb039ccebe50bd56b7a0244b0754e">IsReverseV2Supported</a>(infos[0],</div> +<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  infos[1],</div> +<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  infos[2],</div> +<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a>:</div> +<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#aa253f9963038f4d68877caf6a9a091b4">IsReduceSupported</a>(infos[0],</div> +<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  infos[1],</div> +<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  *(PolymorphicDowncast<const ReduceDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">LayerType::Slice</a>:</div> +<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a29d47a3b7a5f312d858c2a1c67905a83">IsSliceSupported</a>(infos[0],</div> +<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  infos[1],</div> +<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  *(PolymorphicDowncast<const SliceDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">LayerType::Softmax</a>:</div> +<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#abc2d31208c6bcced31369b024eee3b65">IsSoftmaxSupported</a>(infos[0],</div> +<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  infos[1],</div> +<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  *(PolymorphicDowncast<const SoftmaxDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">LayerType::SpaceToBatchNd</a>:</div> +<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#aeef91cdb55b6cd1cbda03f42553fb861">IsSpaceToBatchNdSupported</a>(infos[0],</div> +<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  infos[1],</div> +<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  *(PolymorphicDowncast<const SpaceToBatchNdDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">LayerType::SpaceToDepth</a>:</div> +<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#abd0c6ea3807227b94374ff321a47284d">IsSpaceToDepthSupported</a>(infos[0],</div> +<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  infos[1],</div> +<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  *(PolymorphicDowncast<const SpaceToDepthDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">LayerType::Splitter</a>:</div> +<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  {</div> +<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  std::vector<TensorInfo> outputInfos;</div> +<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">for</span> (uint32_t i = 1; i < infos.size(); i++)</div> +<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  {</div> +<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  outputInfos.push_back(infos[i]);</div> +<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  }</div> +<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a9b9c3c80d296907362f8b407b6a20727">IsSplitterSupported</a>(infos[0],</div> +<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  {outputInfos.begin(), outputInfos.end()},</div> +<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  *(PolymorphicDowncast<const ViewsDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  }</div> +<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">LayerType::Stack</a>:</div> +<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  {</div> +<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  std::vector<const TensorInfo*> inputInfos;</div> +<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < infos.size() - 1; i++)</div> +<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  {</div> +<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  inputInfos.push_back(&infos[i]);</div> +<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  }</div> +<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#abd5430fb7e3f330b675a797d690e6eb4">IsStackSupported</a>(inputInfos,</div> +<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  infos[infos.size() - 1],</div> +<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  *(PolymorphicDowncast<const StackDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  }</div> +<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">LayerType::StridedSlice</a>:</div> +<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a227f01f31ce42d62f160d49d5d044a3b">IsStridedSliceSupported</a>(infos[0],</div> +<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  infos[1],</div> +<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  *(PolymorphicDowncast<const StridedSliceDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>:</div> +<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a6e14b055cf3d72d4de0cc9f68616925c">IsSubtractionSupported</a>(infos[0], infos[1], infos[2], reasonIfUnsupported);</div> +<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152">LayerType::Tile</a>:</div> +<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a27b8700a838b8018acb22cf38570b997">IsTileSupported</a>(infos[0],</div> +<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  infos[1],</div> +<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  *(PolymorphicDowncast<const TileDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">LayerType::Transpose</a>:</div> +<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a1a431d200c1ab85913cac36539d9ca3b">IsTransposeSupported</a>(infos[0],</div> +<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  infos[1],</div> +<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  *(PolymorphicDowncast<const TransposeDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">LayerType::TransposeConvolution2d</a>:</div> +<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  {</div> +<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keywordflow">if</span> (infos.size() != 4)</div> +<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  {</div> +<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of TransposeConvolution2d TensorInfos. "</span></div> +<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="stringliteral">"TensorInfos should be of format: {input, output, weights, biases}."</span>);</div> +<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  }</div> +<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  </div> +<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keyword">auto</span> desc = *(PolymorphicDowncast<const TransposeConvolution2dDescriptor*>(&descriptor));</div> +<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">if</span> (infos[3] == TensorInfo())</div> +<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  {</div> +<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a161bd30613088b5f2c8d4f5234ceacea">IsTransposeConvolution2dSupported</a>(infos[0],</div> +<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  infos[1],</div> +<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  desc,</div> +<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  infos[2],</div> +<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  EmptyOptional(),</div> +<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  }</div> +<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  {</div> +<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a161bd30613088b5f2c8d4f5234ceacea">IsTransposeConvolution2dSupported</a>(infos[0],</div> +<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  infos[1],</div> +<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  desc,</div> +<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  infos[2],</div> +<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  infos[3],</div> +<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  }</div> +<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  }</div> +<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">LayerType::Cast</a>:</div> +<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a40767d1d9169c7f9c1f1ef2f2aa87133">IsCastSupported</a>(infos[0], infos[1], reasonIfUnsupported);</div> +<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">LayerType::ChannelShuffle</a>:</div> +<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#abe9e711bd5dc9844369d4c706e0d8b0a">IsChannelShuffleSupported</a>(infos[0],</div> +<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  infos[1],</div> +<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  *(PolymorphicDowncast<const ChannelShuffleDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">LayerType::Convolution3d</a>:</div> +<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  {</div> +<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keywordflow">if</span> (infos.size() != 4)</div> +<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  {</div> +<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of Convolution3d TensorInfos. "</span></div> +<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="stringliteral">"TensorInfos should be of format: {input, output, weights, biases}."</span>);</div> +<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  }</div> +<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  </div> +<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keyword">auto</span> desc = *(PolymorphicDowncast<const Convolution3dDescriptor*>(&descriptor));</div> +<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keywordflow">if</span> (infos[3] == TensorInfo())</div> +<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  {</div> +<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a57927a58bc6bb87455b51a2786fe1b3b">IsConvolution3dSupported</a>(infos[0],</div> +<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  infos[1],</div> +<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  desc,</div> +<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  infos[2],</div> +<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  EmptyOptional(),</div> +<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  }</div> +<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  {</div> +<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a57927a58bc6bb87455b51a2786fe1b3b">IsConvolution3dSupported</a>(infos[0],</div> +<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  infos[1],</div> +<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  desc,</div> +<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  infos[2],</div> +<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  infos[3],</div> +<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  }</div> +<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  }</div> +<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">LayerType::Debug</a>:</div> +<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#ad64886df8ea110d6636746780049a3ee">IsDebugSupported</a>(infos[0], infos[1], reasonIfUnsupported);</div> +<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a>:</div> +<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#accd2fb6b7713141313cfc310ea460a28">IsDetectionPostProcessSupported</a>(infos[0],</div> +<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  infos[1],</div> +<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  infos[2],</div> +<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  infos[3],</div> +<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  infos[4],</div> +<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  infos[5],</div> +<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  infos[6],</div> +<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  *(PolymorphicDowncast<const DetectionPostProcessDescriptor*></div> +<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  (&descriptor)),</div> +<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">LayerType::FakeQuantization</a>:</div> +<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a603040030365f52a95c50f51fb53f927">IsFakeQuantizationSupported</a>(infos[0],</div> +<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  *(PolymorphicDowncast<const FakeQuantizationDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a>:</div> +<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a76fea9e8e52d879f59b268b060635145">IsMemCopySupported</a>(infos[0], infos[1], reasonIfUnsupported);</div> +<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">LayerType::Rank</a>:</div> +<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a683bb260b89ee0c0b9c409f3c4956acb">IsRankSupported</a>(infos[0], infos[1], reasonIfUnsupported);</div> +<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">LayerType::Shape</a>:</div> +<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a4b423d2cd51bbfb363141d823cecf943">IsShapeSupported</a>(infos[0], infos[1], reasonIfUnsupported);</div> +<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">LayerType::UnidirectionalSequenceLstm</a>:</div> +<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  {</div> +<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keywordflow">if</span> (infos.size() != 6)</div> +<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  {</div> +<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of UnidirectionalSequenceLstm TensorInfos. TensorInfos "</span></div> +<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="stringliteral">"should be of format: {input, outputStateIn, cellStateIn, "</span></div> +<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="stringliteral">"hiddenStateOutputVal, cellStateOutputVal, output}"</span>);</div> +<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  }</div> +<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="keyword">auto</span> desc = *(PolymorphicDowncast<const UnidirectionalSequenceLstmDescriptor*>(&descriptor));</div> +<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#aa81040706a8b0b9ef1cb18c68e7dcdf4">IsUnidirectionalSequenceLstmSupported</a>(infos[0],</div> +<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  infos[1],</div> +<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  infos[2],</div> +<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  infos[3],</div> +<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  infos[4],</div> +<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  infos[5],</div> +<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  desc,</div> +<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  lstmParamsInfo.value(),</div> +<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  }</div> +<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">LayerType::Pooling3d</a>:</div> +<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.html#a677818beaa9f767c7fb0442fb9db2881">IsPooling3dSupported</a>(infos[0],</div> +<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  infos[1],</div> +<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  *(PolymorphicDowncast<const Pooling3dDescriptor*>(&descriptor)),</div> +<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">LayerType::Map</a>:</div> +<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410">LayerType::Unmap</a>:</div> +<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</a>:</div> +<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer_support_base.html#a081cfb99e9e5b240f8b151f0a7090431">LayerSupportBase::IsMemImportSupported</a>(infos[0], infos[1], reasonIfUnsupported);</div> +<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">LayerType::Merge</a>:</div> +<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer_support_base.html#a21fd6e1714d62eb57f7e31e3ccaaa152">LayerSupportBase::IsMergeSupported</a>(infos[0], infos[1], infos[2], reasonIfUnsupported);</div> +<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">LayerType::QuantizedLstm</a>:</div> +<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer_support_base.html#aad6eabce66fdae7c3389450e9dc75df9">LayerSupportBase::IsQuantizedLstmSupported</a>(infos[0],</div> +<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  infos[1],</div> +<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  infos[2],</div> +<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  infos[3],</div> +<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  infos[4],</div> +<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  quantizedLstmInputParamsInfo.value(),</div> +<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  reasonIfUnsupported);</div> +<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keywordflow">default</span>:</div> +<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="comment">// layers not supported in reference by default:</span></div> +<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="comment">// precompiled, standin, switch, fused</span></div> +<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  }</div> +<div class="line"><a name="l00551"></a><span class="lineno"> 551</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::Activation</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::ArgMinMax</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::BatchMatMul</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::BatchNormalization</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::BatchToSpaceNd</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6f7ce1d0822dea293ac2edc111e54ed">armnn::BroadcastTo</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::Cast</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">armnn::ChannelShuffle</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::Comparison</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::Concat</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::Constant</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::ConvertFp16ToFp32</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::ConvertFp32ToFp16</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::Convolution2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::Convolution3d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">armnn::Debug</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::DepthToSpace</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::DepthwiseConvolution2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::Dequantize</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::DetectionPostProcess</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::Division</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::ElementwiseBinary</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::ElementwiseUnary</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">armnn::FakeQuantization</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::Fill</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">armnn::Floor</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::FullyConnected</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::Gather</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">armnn::GatherNd</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::InstanceNormalization</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l00553">RefLayerSupport::IsActivationSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l00621">RefLayerSupport::IsAdditionSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l00658">RefLayerSupport::IsArgMinMaxSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l00690">RefLayerSupport::IsBatchMatMulSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l00735">RefLayerSupport::IsBatchNormalizationSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l00781">RefLayerSupport::IsBatchToSpaceNdSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l00816">RefLayerSupport::IsBroadcastToSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l00846">RefLayerSupport::IsCastSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l00876">RefLayerSupport::IsChannelShuffleSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l00908">RefLayerSupport::IsComparisonSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l00939">RefLayerSupport::IsConcatSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l00972">RefLayerSupport::IsConstantSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l00990">RefLayerSupport::IsConvertFp16ToFp32Supported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01010">RefLayerSupport::IsConvertFp32ToFp16Supported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01030">RefLayerSupport::IsConvolution2dSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01099">RefLayerSupport::IsConvolution3dSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01167">RefLayerSupport::IsDebugSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01197">RefLayerSupport::IsDepthToSpaceSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01226">RefLayerSupport::IsDepthwiseConvolutionSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01295">RefLayerSupport::IsDequantizeSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01330">RefLayerSupport::IsDetectionPostProcessSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01372">RefLayerSupport::IsDivisionSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01409">RefLayerSupport::IsElementwiseUnarySupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01460">RefLayerSupport::IsFakeQuantizationSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01478">RefLayerSupport::IsFillSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01503">RefLayerSupport::IsFloorSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01525">RefLayerSupport::IsFullyConnectedSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01591">RefLayerSupport::IsGatherNdSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01622">RefLayerSupport::IsGatherSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01655">RefLayerSupport::IsInputSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01661">RefLayerSupport::IsInstanceNormalizationSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01692">RefLayerSupport::IsL2NormalizationSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01726">RefLayerSupport::IsLogicalBinarySupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01751">RefLayerSupport::IsLogSoftmaxSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01777">RefLayerSupport::IsLstmSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01888">RefLayerSupport::IsMaximumSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01925">RefLayerSupport::IsMeanSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l01987">RefLayerSupport::IsMemCopySupported()</a>, <a class="el" href="_layer_support_base_8cpp_source.html#l00105">LayerSupportBase::IsMemImportSupported()</a>, <a class="el" href="_layer_support_base_8cpp_source.html#l00112">LayerSupportBase::IsMergeSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02016">RefLayerSupport::IsMinimumSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02053">RefLayerSupport::IsMultiplicationSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02090">RefLayerSupport::IsNormalizationSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02122">RefLayerSupport::IsOutputSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02128">RefLayerSupport::IsPadSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02158">RefLayerSupport::IsPermuteSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02189">RefLayerSupport::IsPooling2dSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02219">RefLayerSupport::IsPooling3dSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02707">RefLayerSupport::IsPreluSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02250">RefLayerSupport::IsQLstmSupported()</a>, <a class="el" href="_layer_support_base_8cpp_source.html#l00120">LayerSupportBase::IsQuantizedLstmSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02274">RefLayerSupport::IsQuantizeSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02309">RefLayerSupport::IsRankSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02324">RefLayerSupport::IsReduceSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02353">RefLayerSupport::IsReshapeSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02377">RefLayerSupport::IsResizeSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02406">RefLayerSupport::IsReverseV2Supported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02445">RefLayerSupport::IsShapeSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02463">RefLayerSupport::IsSliceSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02492">RefLayerSupport::IsSoftmaxSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02521">RefLayerSupport::IsSpaceToBatchNdSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02549">RefLayerSupport::IsSpaceToDepthSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02579">RefLayerSupport::IsSplitterSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02609">RefLayerSupport::IsStackSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02642">RefLayerSupport::IsStridedSliceSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02670">RefLayerSupport::IsSubtractionSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02741">RefLayerSupport::IsTileSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02770">RefLayerSupport::IsTransposeConvolution2dSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02838">RefLayerSupport::IsTransposeSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.html#l02869">RefLayerSupport::IsUnidirectionalSequenceLstmSupported()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::L2Normalization</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">armnn::LogicalBinary</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LogSoftmax</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::Lstm</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">armnn::Map</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">armnn::Maximum</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">armnn::Mean</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::MemCopy</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::MemImport</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::Merge</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::Minimum</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::Multiplication</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::Normalization</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::Pad</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::Permute</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::Pooling2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::Pooling3d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::Prelu</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::QLstm</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::Quantize</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::QuantizedLstm</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">armnn::Rank</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::Reduce</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::Reshape</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::Resize</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295">armnn::ReverseV2</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">armnn::Shape</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::Slice</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::Softmax</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::SpaceToBatchNd</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::SpaceToDepth</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::Splitter</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::Stack</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::StridedSlice</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::Subtraction</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152">armnn::Tile</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::Transpose</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::TransposeConvolution2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::UnidirectionalSequenceLstm</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410">armnn::Unmap</a>, and <a class="el" href="_optional_8hpp_source.html#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p> + +</div> +</div> +<a id="a83f61b022e9544d0c1f5110cd28ae502"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a83f61b022e9544d0c1f5110cd28ae502">◆ </a></span>IsLogicalBinarySupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsLogicalBinarySupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_logical_binary_descriptor.html">LogicalBinaryDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01726">1726</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01731"></a><span class="lineno"> 1731</span> {</div> +<div class="line"><a name="l01732"></a><span class="lineno"> 1732</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l01733"></a><span class="lineno"> 1733</span>  </div> +<div class="line"><a name="l01734"></a><span class="lineno"> 1734</span>  std::array<DataType, 1> supportedTypes =</div> +<div class="line"><a name="l01735"></a><span class="lineno"> 1735</span>  {</div> +<div class="line"><a name="l01736"></a><span class="lineno"> 1736</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a></div> +<div class="line"><a name="l01737"></a><span class="lineno"> 1737</span>  };</div> +<div class="line"><a name="l01738"></a><span class="lineno"> 1738</span>  </div> +<div class="line"><a name="l01739"></a><span class="lineno"> 1739</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01740"></a><span class="lineno"> 1740</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01741"></a><span class="lineno"> 1741</span>  <span class="stringliteral">"Reference LogicalBinary: input 0 type not supported"</span>);</div> +<div class="line"><a name="l01742"></a><span class="lineno"> 1742</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01743"></a><span class="lineno"> 1743</span>  <span class="stringliteral">"Reference LogicalBinary: input 1 type not supported"</span>);</div> +<div class="line"><a name="l01744"></a><span class="lineno"> 1744</span>  </div> +<div class="line"><a name="l01745"></a><span class="lineno"> 1745</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01746"></a><span class="lineno"> 1746</span>  <span class="stringliteral">"Reference LogicalBinary: input and output types do not match"</span>);</div> +<div class="line"><a name="l01747"></a><span class="lineno"> 1747</span>  </div> +<div class="line"><a name="l01748"></a><span class="lineno"> 1748</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01749"></a><span class="lineno"> 1749</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, and <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a91c358cdf313fc39ec0cedece89faac3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a91c358cdf313fc39ec0cedece89faac3">◆ </a></span>IsLogSoftmaxSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsLogSoftmaxSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.html#ac14705405cbcdd580df613de6766fe65">LogSoftmaxDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01751">1751</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01755"></a><span class="lineno"> 1755</span> {</div> +<div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l01757"></a><span class="lineno"> 1757</span>  </div> +<div class="line"><a name="l01758"></a><span class="lineno"> 1758</span>  std::array<DataType, 3> supportedTypes =</div> +<div class="line"><a name="l01759"></a><span class="lineno"> 1759</span>  {</div> +<div class="line"><a name="l01760"></a><span class="lineno"> 1760</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01761"></a><span class="lineno"> 1761</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a></div> +<div class="line"><a name="l01762"></a><span class="lineno"> 1762</span>  };</div> +<div class="line"><a name="l01763"></a><span class="lineno"> 1763</span>  </div> +<div class="line"><a name="l01764"></a><span class="lineno"> 1764</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01765"></a><span class="lineno"> 1765</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01766"></a><span class="lineno"> 1766</span>  <span class="stringliteral">"Reference LogSoftmax: input type not supported"</span>);</div> +<div class="line"><a name="l01767"></a><span class="lineno"> 1767</span>  </div> +<div class="line"><a name="l01768"></a><span class="lineno"> 1768</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01769"></a><span class="lineno"> 1769</span>  <span class="stringliteral">"Reference LogSoftmax: output type not supported"</span>);</div> +<div class="line"><a name="l01770"></a><span class="lineno"> 1770</span>  </div> +<div class="line"><a name="l01771"></a><span class="lineno"> 1771</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01772"></a><span class="lineno"> 1772</span>  <span class="stringliteral">"Reference LogSoftmax: input and output types do not match"</span>);</div> +<div class="line"><a name="l01773"></a><span class="lineno"> 1773</span>  </div> +<div class="line"><a name="l01774"></a><span class="lineno"> 1774</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01775"></a><span class="lineno"> 1775</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, and <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="ad5adeb0c9d1cf403d5cd2eadf4585155"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad5adeb0c9d1cf403d5cd2eadf4585155">◆ </a></span>IsLstmSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsLstmSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>outputStateIn</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>cellStateIn</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>scratchBuffer</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>outputStateOut</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>cellStateOut</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_lstm_descriptor.html">LstmDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> & </td> + <td class="paramname"><em>paramsInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01777">1777</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01787"></a><span class="lineno"> 1787</span> {</div> +<div class="line"><a name="l01788"></a><span class="lineno"> 1788</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l01789"></a><span class="lineno"> 1789</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(paramsInfo);</div> +<div class="line"><a name="l01790"></a><span class="lineno"> 1790</span>  </div> +<div class="line"><a name="l01791"></a><span class="lineno"> 1791</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01792"></a><span class="lineno"> 1792</span>  </div> +<div class="line"><a name="l01793"></a><span class="lineno"> 1793</span>  std::array<DataType,3> supportedTypes = {</div> +<div class="line"><a name="l01794"></a><span class="lineno"> 1794</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01795"></a><span class="lineno"> 1795</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l01796"></a><span class="lineno"> 1796</span>  };</div> +<div class="line"><a name="l01797"></a><span class="lineno"> 1797</span>  </div> +<div class="line"><a name="l01798"></a><span class="lineno"> 1798</span>  <span class="comment">// check inputs and outputs</span></div> +<div class="line"><a name="l01799"></a><span class="lineno"> 1799</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01800"></a><span class="lineno"> 1800</span>  <span class="stringliteral">"Reference Lstm: input is not a supported type."</span>);</div> +<div class="line"><a name="l01801"></a><span class="lineno"> 1801</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, outputStateIn), reasonIfUnsupported,</div> +<div class="line"><a name="l01802"></a><span class="lineno"> 1802</span>  <span class="stringliteral">"Reference Lstm: input and outputStateIn types are mismatched"</span>);</div> +<div class="line"><a name="l01803"></a><span class="lineno"> 1803</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, cellStateIn), reasonIfUnsupported,</div> +<div class="line"><a name="l01804"></a><span class="lineno"> 1804</span>  <span class="stringliteral">"Reference Lstm: input and cellStateIn types are mismatched"</span>);</div> +<div class="line"><a name="l01805"></a><span class="lineno"> 1805</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, scratchBuffer), reasonIfUnsupported,</div> +<div class="line"><a name="l01806"></a><span class="lineno"> 1806</span>  <span class="stringliteral">"Reference Lstm: input and scratchBuffer types are mismatched"</span>);</div> +<div class="line"><a name="l01807"></a><span class="lineno"> 1807</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, outputStateOut), reasonIfUnsupported,</div> +<div class="line"><a name="l01808"></a><span class="lineno"> 1808</span>  <span class="stringliteral">"Reference Lstm: input and outputStateOut types are mismatched"</span>);</div> +<div class="line"><a name="l01809"></a><span class="lineno"> 1809</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, cellStateOut), reasonIfUnsupported,</div> +<div class="line"><a name="l01810"></a><span class="lineno"> 1810</span>  <span class="stringliteral">"Reference Lstm: input and cellStateOut types are mismatched"</span>);</div> +<div class="line"><a name="l01811"></a><span class="lineno"> 1811</span>  </div> +<div class="line"><a name="l01812"></a><span class="lineno"> 1812</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01813"></a><span class="lineno"> 1813</span>  <span class="stringliteral">"Reference Lstm: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l01814"></a><span class="lineno"> 1814</span>  <span class="comment">// check layer parameters</span></div> +<div class="line"><a name="l01815"></a><span class="lineno"> 1815</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetInputToForgetWeights()), reasonIfUnsupported,</div> +<div class="line"><a name="l01816"></a><span class="lineno"> 1816</span>  <span class="stringliteral">"Reference Lstm: input and InputToForgetWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01817"></a><span class="lineno"> 1817</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetInputToCellWeights()), reasonIfUnsupported,</div> +<div class="line"><a name="l01818"></a><span class="lineno"> 1818</span>  <span class="stringliteral">"Reference Lstm: input and InputToCellWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01819"></a><span class="lineno"> 1819</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetInputToOutputWeights()), reasonIfUnsupported,</div> +<div class="line"><a name="l01820"></a><span class="lineno"> 1820</span>  <span class="stringliteral">"Reference Lstm: input and InputToOutputWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01821"></a><span class="lineno"> 1821</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetRecurrentToForgetWeights()), reasonIfUnsupported,</div> +<div class="line"><a name="l01822"></a><span class="lineno"> 1822</span>  <span class="stringliteral">"Reference Lstm: input and RecurrentToForgetWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01823"></a><span class="lineno"> 1823</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetRecurrentToCellWeights()), reasonIfUnsupported,</div> +<div class="line"><a name="l01824"></a><span class="lineno"> 1824</span>  <span class="stringliteral">"Reference Lstm: input and RecurrentToCellWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01825"></a><span class="lineno"> 1825</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetRecurrentToOutputWeights()), reasonIfUnsupported,</div> +<div class="line"><a name="l01826"></a><span class="lineno"> 1826</span>  <span class="stringliteral">"Reference Lstm: input and RecurrentToOutputWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01827"></a><span class="lineno"> 1827</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetForgetGateBias()), reasonIfUnsupported,</div> +<div class="line"><a name="l01828"></a><span class="lineno"> 1828</span>  <span class="stringliteral">"Reference Lstm: input and ForgetGateBias types are mismatched"</span>);</div> +<div class="line"><a name="l01829"></a><span class="lineno"> 1829</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetCellBias()), reasonIfUnsupported,</div> +<div class="line"><a name="l01830"></a><span class="lineno"> 1830</span>  <span class="stringliteral">"Reference Lstm: input and CellBias types are mismatched"</span>);</div> +<div class="line"><a name="l01831"></a><span class="lineno"> 1831</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetOutputGateBias()), reasonIfUnsupported,</div> +<div class="line"><a name="l01832"></a><span class="lineno"> 1832</span>  <span class="stringliteral">"Reference Lstm: input and OutputGateBias types are mismatched"</span>);</div> +<div class="line"><a name="l01833"></a><span class="lineno"> 1833</span>  <span class="keywordflow">if</span> (!descriptor.m_CifgEnabled)</div> +<div class="line"><a name="l01834"></a><span class="lineno"> 1834</span>  {</div> +<div class="line"><a name="l01835"></a><span class="lineno"> 1835</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetInputToInputWeights()), reasonIfUnsupported,</div> +<div class="line"><a name="l01836"></a><span class="lineno"> 1836</span>  <span class="stringliteral">"Reference Lstm: input and InputToInputWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01837"></a><span class="lineno"> 1837</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetRecurrentToInputWeights()),</div> +<div class="line"><a name="l01838"></a><span class="lineno"> 1838</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l01839"></a><span class="lineno"> 1839</span>  <span class="stringliteral">"Reference Lstm: input and RecurrentToInputWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01840"></a><span class="lineno"> 1840</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetInputGateBias()), reasonIfUnsupported,</div> +<div class="line"><a name="l01841"></a><span class="lineno"> 1841</span>  <span class="stringliteral">"Reference Lstm: input and InputGateBias types are mismatched"</span>);</div> +<div class="line"><a name="l01842"></a><span class="lineno"> 1842</span>  <span class="keywordflow">if</span> (descriptor.m_PeepholeEnabled)</div> +<div class="line"><a name="l01843"></a><span class="lineno"> 1843</span>  {</div> +<div class="line"><a name="l01844"></a><span class="lineno"> 1844</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetCellToInputWeights()),</div> +<div class="line"><a name="l01845"></a><span class="lineno"> 1845</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l01846"></a><span class="lineno"> 1846</span>  <span class="stringliteral">"Reference Lstm: input and CellToInputWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01847"></a><span class="lineno"> 1847</span>  }</div> +<div class="line"><a name="l01848"></a><span class="lineno"> 1848</span>  }</div> +<div class="line"><a name="l01849"></a><span class="lineno"> 1849</span>  <span class="keywordflow">if</span> (descriptor.m_PeepholeEnabled)</div> +<div class="line"><a name="l01850"></a><span class="lineno"> 1850</span>  {</div> +<div class="line"><a name="l01851"></a><span class="lineno"> 1851</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetCellToForgetWeights()), reasonIfUnsupported,</div> +<div class="line"><a name="l01852"></a><span class="lineno"> 1852</span>  <span class="stringliteral">"Reference Lstm: input and CellToForgetWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01853"></a><span class="lineno"> 1853</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetCellToOutputWeights()), reasonIfUnsupported,</div> +<div class="line"><a name="l01854"></a><span class="lineno"> 1854</span>  <span class="stringliteral">"Reference Lstm: input and CellToOutputWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01855"></a><span class="lineno"> 1855</span>  }</div> +<div class="line"><a name="l01856"></a><span class="lineno"> 1856</span>  <span class="keywordflow">if</span> (descriptor.m_ProjectionEnabled)</div> +<div class="line"><a name="l01857"></a><span class="lineno"> 1857</span>  {</div> +<div class="line"><a name="l01858"></a><span class="lineno"> 1858</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetProjectionWeights()), reasonIfUnsupported,</div> +<div class="line"><a name="l01859"></a><span class="lineno"> 1859</span>  <span class="stringliteral">"Reference Lstm: input and mProjectionWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01860"></a><span class="lineno"> 1860</span>  <span class="keywordflow">if</span> (paramsInfo.m_ProjectionBias != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l01861"></a><span class="lineno"> 1861</span>  {</div> +<div class="line"><a name="l01862"></a><span class="lineno"> 1862</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetProjectionBias()), reasonIfUnsupported,</div> +<div class="line"><a name="l01863"></a><span class="lineno"> 1863</span>  <span class="stringliteral">"Reference Lstm: input and ProjectionBias types are mismatched"</span>);</div> +<div class="line"><a name="l01864"></a><span class="lineno"> 1864</span>  }</div> +<div class="line"><a name="l01865"></a><span class="lineno"> 1865</span>  }</div> +<div class="line"><a name="l01866"></a><span class="lineno"> 1866</span>  <span class="keywordflow">if</span> (descriptor.m_LayerNormEnabled)</div> +<div class="line"><a name="l01867"></a><span class="lineno"> 1867</span>  {</div> +<div class="line"><a name="l01868"></a><span class="lineno"> 1868</span>  <span class="keywordflow">if</span> (!descriptor.m_CifgEnabled)</div> +<div class="line"><a name="l01869"></a><span class="lineno"> 1869</span>  {</div> +<div class="line"><a name="l01870"></a><span class="lineno"> 1870</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetInputLayerNormWeights()),</div> +<div class="line"><a name="l01871"></a><span class="lineno"> 1871</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l01872"></a><span class="lineno"> 1872</span>  <span class="stringliteral">"Reference Lstm: input and InputLayerNormWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01873"></a><span class="lineno"> 1873</span>  }</div> +<div class="line"><a name="l01874"></a><span class="lineno"> 1874</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetForgetLayerNormWeights()),</div> +<div class="line"><a name="l01875"></a><span class="lineno"> 1875</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l01876"></a><span class="lineno"> 1876</span>  <span class="stringliteral">"Reference Lstm: input and ForgetLayerNormWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01877"></a><span class="lineno"> 1877</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetCellLayerNormWeights()),</div> +<div class="line"><a name="l01878"></a><span class="lineno"> 1878</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l01879"></a><span class="lineno"> 1879</span>  <span class="stringliteral">"Reference Lstm: input and CellLayerNormWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01880"></a><span class="lineno"> 1880</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetOutputLayerNormWeights()),</div> +<div class="line"><a name="l01881"></a><span class="lineno"> 1881</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l01882"></a><span class="lineno"> 1882</span>  <span class="stringliteral">"Reference Lstm: input and OutputLayerNormWeights types are mismatched"</span>);</div> +<div class="line"><a name="l01883"></a><span class="lineno"> 1883</span>  }</div> +<div class="line"><a name="l01884"></a><span class="lineno"> 1884</span>  </div> +<div class="line"><a name="l01885"></a><span class="lineno"> 1885</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01886"></a><span class="lineno"> 1886</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00173">LstmInputParamsInfo::GetCellBias()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00197">LstmInputParamsInfo::GetCellLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00157">LstmInputParamsInfo::GetCellToForgetWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00153">LstmInputParamsInfo::GetCellToInputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00161">LstmInputParamsInfo::GetCellToOutputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00169">LstmInputParamsInfo::GetForgetGateBias()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00193">LstmInputParamsInfo::GetForgetLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00165">LstmInputParamsInfo::GetInputGateBias()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00189">LstmInputParamsInfo::GetInputLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00129">LstmInputParamsInfo::GetInputToCellWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00125">LstmInputParamsInfo::GetInputToForgetWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00121">LstmInputParamsInfo::GetInputToInputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00133">LstmInputParamsInfo::GetInputToOutputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00177">LstmInputParamsInfo::GetOutputGateBias()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00201">LstmInputParamsInfo::GetOutputLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00185">LstmInputParamsInfo::GetProjectionBias()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00181">LstmInputParamsInfo::GetProjectionWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00145">LstmInputParamsInfo::GetRecurrentToCellWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00141">LstmInputParamsInfo::GetRecurrentToForgetWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00137">LstmInputParamsInfo::GetRecurrentToInputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00149">LstmInputParamsInfo::GetRecurrentToOutputWeights()</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_descriptors_8hpp_source.html#l01146">LstmDescriptor::m_CifgEnabled</a>, <a class="el" href="_descriptors_8hpp_source.html#l01152">LstmDescriptor::m_LayerNormEnabled</a>, <a class="el" href="_descriptors_8hpp_source.html#l01148">LstmDescriptor::m_PeepholeEnabled</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00105">LstmInputParamsInfo::m_ProjectionBias</a>, <a class="el" href="_descriptors_8hpp_source.html#l01150">LstmDescriptor::m_ProjectionEnabled</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a3a8e66320bb329f751e0f08fa970cd61"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3a8e66320bb329f751e0f08fa970cd61">◆ </a></span>IsMaximumSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsMaximumSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01888">1888</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01892"></a><span class="lineno"> 1892</span> {</div> +<div class="line"><a name="l01893"></a><span class="lineno"> 1893</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01894"></a><span class="lineno"> 1894</span>  </div> +<div class="line"><a name="l01895"></a><span class="lineno"> 1895</span>  std::array<DataType,7> supportedTypes = {</div> +<div class="line"><a name="l01896"></a><span class="lineno"> 1896</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01897"></a><span class="lineno"> 1897</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01898"></a><span class="lineno"> 1898</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01899"></a><span class="lineno"> 1899</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01900"></a><span class="lineno"> 1900</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l01901"></a><span class="lineno"> 1901</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l01902"></a><span class="lineno"> 1902</span>  };</div> +<div class="line"><a name="l01903"></a><span class="lineno"> 1903</span>  </div> +<div class="line"><a name="l01904"></a><span class="lineno"> 1904</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01905"></a><span class="lineno"> 1905</span>  <span class="stringliteral">"Reference maximum: input 0 is not a supported type."</span>);</div> +<div class="line"><a name="l01906"></a><span class="lineno"> 1906</span>  </div> +<div class="line"><a name="l01907"></a><span class="lineno"> 1907</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01908"></a><span class="lineno"> 1908</span>  <span class="stringliteral">"Reference maximum: input 1 is not a supported type."</span>);</div> +<div class="line"><a name="l01909"></a><span class="lineno"> 1909</span>  </div> +<div class="line"><a name="l01910"></a><span class="lineno"> 1910</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01911"></a><span class="lineno"> 1911</span>  <span class="stringliteral">"Reference maximum: output is not a supported type."</span>);</div> +<div class="line"><a name="l01912"></a><span class="lineno"> 1912</span>  </div> +<div class="line"><a name="l01913"></a><span class="lineno"> 1913</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, input1), reasonIfUnsupported,</div> +<div class="line"><a name="l01914"></a><span class="lineno"> 1914</span>  <span class="stringliteral">"Reference maximum: input 0 and Input 1 types are mismatched"</span>);</div> +<div class="line"><a name="l01915"></a><span class="lineno"> 1915</span>  </div> +<div class="line"><a name="l01916"></a><span class="lineno"> 1916</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01917"></a><span class="lineno"> 1917</span>  <span class="stringliteral">"Reference maximum: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l01918"></a><span class="lineno"> 1918</span>  </div> +<div class="line"><a name="l01919"></a><span class="lineno"> 1919</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01920"></a><span class="lineno"> 1920</span>  <span class="stringliteral">"Reference maximum: shapes are not suitable for implicit broadcast."</span>);</div> +<div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>  </div> +<div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01923"></a><span class="lineno"> 1923</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a007299b48d001bbdaefe525566b21c8e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a007299b48d001bbdaefe525566b21c8e">◆ </a></span>IsMeanSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsMeanSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_mean_descriptor.html">MeanDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01925">1925</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01929"></a><span class="lineno"> 1929</span> {</div> +<div class="line"><a name="l01930"></a><span class="lineno"> 1930</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01931"></a><span class="lineno"> 1931</span>  std::string meanLayerStr = <span class="stringliteral">"Mean"</span>;</div> +<div class="line"><a name="l01932"></a><span class="lineno"> 1932</span>  std::string outputTensorStr = <span class="stringliteral">"output"</span>;</div> +<div class="line"><a name="l01933"></a><span class="lineno"> 1933</span>  </div> +<div class="line"><a name="l01934"></a><span class="lineno"> 1934</span>  std::array<DataType,6> supportedTypes =</div> +<div class="line"><a name="l01935"></a><span class="lineno"> 1935</span>  {</div> +<div class="line"><a name="l01936"></a><span class="lineno"> 1936</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01937"></a><span class="lineno"> 1937</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01940"></a><span class="lineno"> 1940</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l01941"></a><span class="lineno"> 1941</span>  };</div> +<div class="line"><a name="l01942"></a><span class="lineno"> 1942</span>  </div> +<div class="line"><a name="l01943"></a><span class="lineno"> 1943</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l01944"></a><span class="lineno"> 1944</span>  <span class="stringliteral">"Reference Mean: input type not supported."</span>);</div> +<div class="line"><a name="l01945"></a><span class="lineno"> 1945</span>  </div> +<div class="line"><a name="l01946"></a><span class="lineno"> 1946</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l01947"></a><span class="lineno"> 1947</span>  <span class="stringliteral">"Reference Mean: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>  </div> +<div class="line"><a name="l01949"></a><span class="lineno"> 1949</span>  <span class="keywordflow">if</span> (descriptor.m_KeepDims)</div> +<div class="line"><a name="l01950"></a><span class="lineno"> 1950</span>  {</div> +<div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TensorNumDimensionsAreCorrect(output, input.GetNumDimensions()),</div> +<div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l01953"></a><span class="lineno"> 1953</span>  CreateIncorrectDimensionsErrorMsg(input.GetNumDimensions(),</div> +<div class="line"><a name="l01954"></a><span class="lineno"> 1954</span>  output.GetNumDimensions(),</div> +<div class="line"><a name="l01955"></a><span class="lineno"> 1955</span>  meanLayerStr, outputTensorStr).data());</div> +<div class="line"><a name="l01956"></a><span class="lineno"> 1956</span>  }</div> +<div class="line"><a name="l01957"></a><span class="lineno"> 1957</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (descriptor.m_Axis.empty())</div> +<div class="line"><a name="l01958"></a><span class="lineno"> 1958</span>  {</div> +<div class="line"><a name="l01959"></a><span class="lineno"> 1959</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TensorNumDimensionsAreCorrect(output, 1),</div> +<div class="line"><a name="l01960"></a><span class="lineno"> 1960</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l01961"></a><span class="lineno"> 1961</span>  CreateIncorrectDimensionsErrorMsg(1, output.GetNumDimensions(),</div> +<div class="line"><a name="l01962"></a><span class="lineno"> 1962</span>  meanLayerStr, outputTensorStr).data());</div> +<div class="line"><a name="l01963"></a><span class="lineno"> 1963</span>  }</div> +<div class="line"><a name="l01964"></a><span class="lineno"> 1964</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l01965"></a><span class="lineno"> 1965</span>  {</div> +<div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>  <span class="keyword">auto</span> outputDim = input.GetNumDimensions() - armnn::numeric_cast<unsigned int>(descriptor.m_Axis.size());</div> +<div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>  </div> +<div class="line"><a name="l01968"></a><span class="lineno"> 1968</span>  <span class="keywordflow">if</span> (outputDim > 0)</div> +<div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>  {</div> +<div class="line"><a name="l01970"></a><span class="lineno"> 1970</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TensorNumDimensionsAreCorrect(output, outputDim),</div> +<div class="line"><a name="l01971"></a><span class="lineno"> 1971</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l01972"></a><span class="lineno"> 1972</span>  CreateIncorrectDimensionsErrorMsg(outputDim, output.GetNumDimensions(),</div> +<div class="line"><a name="l01973"></a><span class="lineno"> 1973</span>  meanLayerStr, outputTensorStr).data());</div> +<div class="line"><a name="l01974"></a><span class="lineno"> 1974</span>  }</div> +<div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>  {</div> +<div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TensorNumDimensionsAreCorrect(output, 1),</div> +<div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l01979"></a><span class="lineno"> 1979</span>  CreateIncorrectDimensionsErrorMsg(1, output.GetNumDimensions(),</div> +<div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>  meanLayerStr, outputTensorStr).data());</div> +<div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>  }</div> +<div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>  }</div> +<div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>  </div> +<div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l01985"></a><span class="lineno"> 1985</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00195">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_descriptors_8hpp_source.html#l01190">MeanDescriptor::m_Axis</a>, <a class="el" href="_descriptors_8hpp_source.html#l01192">MeanDescriptor::m_KeepDims</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a76fea9e8e52d879f59b268b060635145"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a76fea9e8e52d879f59b268b060635145">◆ </a></span>IsMemCopySupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsMemCopySupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l01987">1987</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01990"></a><span class="lineno"> 1990</span> {</div> +<div class="line"><a name="l01991"></a><span class="lineno"> 1991</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>  </div> +<div class="line"><a name="l01993"></a><span class="lineno"> 1993</span>  std::array<DataType,7> supportedTypes =</div> +<div class="line"><a name="l01994"></a><span class="lineno"> 1994</span>  {</div> +<div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> +<div class="line"><a name="l01996"></a><span class="lineno"> 1996</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01999"></a><span class="lineno"> 1999</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l02001"></a><span class="lineno"> 2001</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a></div> +<div class="line"><a name="l02002"></a><span class="lineno"> 2002</span>  };</div> +<div class="line"><a name="l02003"></a><span class="lineno"> 2003</span>  </div> +<div class="line"><a name="l02004"></a><span class="lineno"> 2004</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>  <span class="stringliteral">"Reference MemCopy: input type not supported"</span>);</div> +<div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>  </div> +<div class="line"><a name="l02007"></a><span class="lineno"> 2007</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02008"></a><span class="lineno"> 2008</span>  <span class="stringliteral">"Reference MemCopy: output type not supported"</span>);</div> +<div class="line"><a name="l02009"></a><span class="lineno"> 2009</span>  </div> +<div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02011"></a><span class="lineno"> 2011</span>  <span class="stringliteral">"Reference MemCopy: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>  </div> +<div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02014"></a><span class="lineno"> 2014</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a68ddd3634fa7ce3a1eea8d7cc5adc9f0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a68ddd3634fa7ce3a1eea8d7cc5adc9f0">◆ </a></span>IsMinimumSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsMinimumSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02016">2016</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02020"></a><span class="lineno"> 2020</span> {</div> +<div class="line"><a name="l02021"></a><span class="lineno"> 2021</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02022"></a><span class="lineno"> 2022</span>  </div> +<div class="line"><a name="l02023"></a><span class="lineno"> 2023</span>  std::array<DataType,7> supportedTypes = {</div> +<div class="line"><a name="l02024"></a><span class="lineno"> 2024</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02025"></a><span class="lineno"> 2025</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02026"></a><span class="lineno"> 2026</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02027"></a><span class="lineno"> 2027</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02028"></a><span class="lineno"> 2028</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l02029"></a><span class="lineno"> 2029</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l02030"></a><span class="lineno"> 2030</span>  };</div> +<div class="line"><a name="l02031"></a><span class="lineno"> 2031</span>  </div> +<div class="line"><a name="l02032"></a><span class="lineno"> 2032</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02033"></a><span class="lineno"> 2033</span>  <span class="stringliteral">"Reference minimum: input 0 is not a supported type."</span>);</div> +<div class="line"><a name="l02034"></a><span class="lineno"> 2034</span>  </div> +<div class="line"><a name="l02035"></a><span class="lineno"> 2035</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02036"></a><span class="lineno"> 2036</span>  <span class="stringliteral">"Reference minimum: input 1 is not a supported type."</span>);</div> +<div class="line"><a name="l02037"></a><span class="lineno"> 2037</span>  </div> +<div class="line"><a name="l02038"></a><span class="lineno"> 2038</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02039"></a><span class="lineno"> 2039</span>  <span class="stringliteral">"Reference minimum: output is not a supported type."</span>);</div> +<div class="line"><a name="l02040"></a><span class="lineno"> 2040</span>  </div> +<div class="line"><a name="l02041"></a><span class="lineno"> 2041</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, input1), reasonIfUnsupported,</div> +<div class="line"><a name="l02042"></a><span class="lineno"> 2042</span>  <span class="stringliteral">"Reference minimum: input 0 and Input 1 types are mismatched"</span>);</div> +<div class="line"><a name="l02043"></a><span class="lineno"> 2043</span>  </div> +<div class="line"><a name="l02044"></a><span class="lineno"> 2044</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02045"></a><span class="lineno"> 2045</span>  <span class="stringliteral">"Reference minimum: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l02046"></a><span class="lineno"> 2046</span>  </div> +<div class="line"><a name="l02047"></a><span class="lineno"> 2047</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02048"></a><span class="lineno"> 2048</span>  <span class="stringliteral">"Reference minimum: shapes are not suitable for implicit broadcast."</span>);</div> +<div class="line"><a name="l02049"></a><span class="lineno"> 2049</span>  </div> +<div class="line"><a name="l02050"></a><span class="lineno"> 2050</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02051"></a><span class="lineno"> 2051</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a030c7a65a5c26b93c57b30e3c9d6a80b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a030c7a65a5c26b93c57b30e3c9d6a80b">◆ </a></span>IsMultiplicationSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsMultiplicationSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02053">2053</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02057"></a><span class="lineno"> 2057</span> {</div> +<div class="line"><a name="l02058"></a><span class="lineno"> 2058</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02059"></a><span class="lineno"> 2059</span>  </div> +<div class="line"><a name="l02060"></a><span class="lineno"> 2060</span>  std::array<DataType,7> supportedTypes = {</div> +<div class="line"><a name="l02061"></a><span class="lineno"> 2061</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02062"></a><span class="lineno"> 2062</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02063"></a><span class="lineno"> 2063</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02064"></a><span class="lineno"> 2064</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02065"></a><span class="lineno"> 2065</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l02066"></a><span class="lineno"> 2066</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l02067"></a><span class="lineno"> 2067</span>  };</div> +<div class="line"><a name="l02068"></a><span class="lineno"> 2068</span>  </div> +<div class="line"><a name="l02069"></a><span class="lineno"> 2069</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02070"></a><span class="lineno"> 2070</span>  <span class="stringliteral">"Reference multiplication: input 0 is not a supported type."</span>);</div> +<div class="line"><a name="l02071"></a><span class="lineno"> 2071</span>  </div> +<div class="line"><a name="l02072"></a><span class="lineno"> 2072</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02073"></a><span class="lineno"> 2073</span>  <span class="stringliteral">"Reference multiplication: input 1 is not a supported type."</span>);</div> +<div class="line"><a name="l02074"></a><span class="lineno"> 2074</span>  </div> +<div class="line"><a name="l02075"></a><span class="lineno"> 2075</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02076"></a><span class="lineno"> 2076</span>  <span class="stringliteral">"Reference multiplication: output is not a supported type."</span>);</div> +<div class="line"><a name="l02077"></a><span class="lineno"> 2077</span>  </div> +<div class="line"><a name="l02078"></a><span class="lineno"> 2078</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, input1), reasonIfUnsupported,</div> +<div class="line"><a name="l02079"></a><span class="lineno"> 2079</span>  <span class="stringliteral">"Reference multiplication: input 0 and Input 1 types are mismatched"</span>);</div> +<div class="line"><a name="l02080"></a><span class="lineno"> 2080</span>  </div> +<div class="line"><a name="l02081"></a><span class="lineno"> 2081</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02082"></a><span class="lineno"> 2082</span>  <span class="stringliteral">"Reference multiplication: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l02083"></a><span class="lineno"> 2083</span>  </div> +<div class="line"><a name="l02084"></a><span class="lineno"> 2084</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02085"></a><span class="lineno"> 2085</span>  <span class="stringliteral">"Reference multiplication: shapes are not suitable for implicit broadcast."</span>);</div> +<div class="line"><a name="l02086"></a><span class="lineno"> 2086</span>  </div> +<div class="line"><a name="l02087"></a><span class="lineno"> 2087</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02088"></a><span class="lineno"> 2088</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="af77622c468f95d7cbc05b7d6f6e83830"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af77622c468f95d7cbc05b7d6f6e83830">◆ </a></span>IsNormalizationSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsNormalizationSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_normalization_descriptor.html">NormalizationDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02090">2090</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02094"></a><span class="lineno"> 2094</span> {</div> +<div class="line"><a name="l02095"></a><span class="lineno"> 2095</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02096"></a><span class="lineno"> 2096</span>  </div> +<div class="line"><a name="l02097"></a><span class="lineno"> 2097</span>  <span class="comment">// Define supported types</span></div> +<div class="line"><a name="l02098"></a><span class="lineno"> 2098</span>  std::array<DataType, 6> supportedTypes =</div> +<div class="line"><a name="l02099"></a><span class="lineno"> 2099</span>  {</div> +<div class="line"><a name="l02100"></a><span class="lineno"> 2100</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02101"></a><span class="lineno"> 2101</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02102"></a><span class="lineno"> 2102</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02103"></a><span class="lineno"> 2103</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02104"></a><span class="lineno"> 2104</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02105"></a><span class="lineno"> 2105</span>  };</div> +<div class="line"><a name="l02106"></a><span class="lineno"> 2106</span>  </div> +<div class="line"><a name="l02107"></a><span class="lineno"> 2107</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02108"></a><span class="lineno"> 2108</span>  </div> +<div class="line"><a name="l02109"></a><span class="lineno"> 2109</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02110"></a><span class="lineno"> 2110</span>  <span class="stringliteral">"Reference normalization: input type not supported."</span>);</div> +<div class="line"><a name="l02111"></a><span class="lineno"> 2111</span>  </div> +<div class="line"><a name="l02112"></a><span class="lineno"> 2112</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02113"></a><span class="lineno"> 2113</span>  <span class="stringliteral">"Reference normalization: output type not supported."</span>);</div> +<div class="line"><a name="l02114"></a><span class="lineno"> 2114</span>  </div> +<div class="line"><a name="l02115"></a><span class="lineno"> 2115</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02116"></a><span class="lineno"> 2116</span>  <span class="stringliteral">"Reference normalization: input and output shapes have different "</span></div> +<div class="line"><a name="l02117"></a><span class="lineno"> 2117</span>  <span class="stringliteral">"num total elements."</span>);</div> +<div class="line"><a name="l02118"></a><span class="lineno"> 2118</span>  </div> +<div class="line"><a name="l02119"></a><span class="lineno"> 2119</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02120"></a><span class="lineno"> 2120</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a3b1efcbd2ac79d53fa0db56831095cd6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3b1efcbd2ac79d53fa0db56831095cd6">◆ </a></span>IsOutputSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsOutputSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02122">2122</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02124"></a><span class="lineno"> 2124</span> {</div> +<div class="line"><a name="l02125"></a><span class="lineno"> 2125</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l02126"></a><span class="lineno"> 2126</span> }</div> +</div><!-- fragment --> +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a649ebe27288d2e62ed0069c0f1d941b8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a649ebe27288d2e62ed0069c0f1d941b8">◆ </a></span>IsPadSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsPadSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_pad_descriptor.html">PadDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02128">2128</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02132"></a><span class="lineno"> 2132</span> {</div> +<div class="line"><a name="l02133"></a><span class="lineno"> 2133</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02134"></a><span class="lineno"> 2134</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02135"></a><span class="lineno"> 2135</span>  </div> +<div class="line"><a name="l02136"></a><span class="lineno"> 2136</span>  <span class="comment">// Define supported output and inputs types.</span></div> +<div class="line"><a name="l02137"></a><span class="lineno"> 2137</span>  std::array<DataType,6> supportedTypes =</div> +<div class="line"><a name="l02138"></a><span class="lineno"> 2138</span>  {</div> +<div class="line"><a name="l02139"></a><span class="lineno"> 2139</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02140"></a><span class="lineno"> 2140</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02141"></a><span class="lineno"> 2141</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02142"></a><span class="lineno"> 2142</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02143"></a><span class="lineno"> 2143</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02144"></a><span class="lineno"> 2144</span>  };</div> +<div class="line"><a name="l02145"></a><span class="lineno"> 2145</span>  </div> +<div class="line"><a name="l02146"></a><span class="lineno"> 2146</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02147"></a><span class="lineno"> 2147</span>  <span class="stringliteral">"Reference pad: input is not a supported type."</span>);</div> +<div class="line"><a name="l02148"></a><span class="lineno"> 2148</span>  </div> +<div class="line"><a name="l02149"></a><span class="lineno"> 2149</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02150"></a><span class="lineno"> 2150</span>  <span class="stringliteral">"Reference pad: output is not a supported type."</span>);</div> +<div class="line"><a name="l02151"></a><span class="lineno"> 2151</span>  </div> +<div class="line"><a name="l02152"></a><span class="lineno"> 2152</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02153"></a><span class="lineno"> 2153</span>  <span class="stringliteral">"Reference pad: input and output types are mismatched."</span>);</div> +<div class="line"><a name="l02154"></a><span class="lineno"> 2154</span>  </div> +<div class="line"><a name="l02155"></a><span class="lineno"> 2155</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02156"></a><span class="lineno"> 2156</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a5d06aa3102f630eeff127195693810e8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5d06aa3102f630eeff127195693810e8">◆ </a></span>IsPermuteSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsPermuteSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_permute_descriptor.html">PermuteDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02158">2158</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02162"></a><span class="lineno"> 2162</span> {</div> +<div class="line"><a name="l02163"></a><span class="lineno"> 2163</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02164"></a><span class="lineno"> 2164</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02165"></a><span class="lineno"> 2165</span>  </div> +<div class="line"><a name="l02166"></a><span class="lineno"> 2166</span>  <span class="comment">// Define supported output and inputs types.</span></div> +<div class="line"><a name="l02167"></a><span class="lineno"> 2167</span>  std::array<DataType, 6> supportedTypes =</div> +<div class="line"><a name="l02168"></a><span class="lineno"> 2168</span>  {</div> +<div class="line"><a name="l02169"></a><span class="lineno"> 2169</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> +<div class="line"><a name="l02170"></a><span class="lineno"> 2170</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02171"></a><span class="lineno"> 2171</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02172"></a><span class="lineno"> 2172</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02173"></a><span class="lineno"> 2173</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02174"></a><span class="lineno"> 2174</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02175"></a><span class="lineno"> 2175</span>  };</div> +<div class="line"><a name="l02176"></a><span class="lineno"> 2176</span>  </div> +<div class="line"><a name="l02177"></a><span class="lineno"> 2177</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02178"></a><span class="lineno"> 2178</span>  <span class="stringliteral">"Reference permute: input is not a supported type."</span>);</div> +<div class="line"><a name="l02179"></a><span class="lineno"> 2179</span>  </div> +<div class="line"><a name="l02180"></a><span class="lineno"> 2180</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02181"></a><span class="lineno"> 2181</span>  <span class="stringliteral">"Reference permute: output is not a supported type."</span>);</div> +<div class="line"><a name="l02182"></a><span class="lineno"> 2182</span>  </div> +<div class="line"><a name="l02183"></a><span class="lineno"> 2183</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02184"></a><span class="lineno"> 2184</span>  <span class="stringliteral">"Reference permute: input and output types are mismatched."</span>);</div> +<div class="line"><a name="l02185"></a><span class="lineno"> 2185</span>  </div> +<div class="line"><a name="l02186"></a><span class="lineno"> 2186</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02187"></a><span class="lineno"> 2187</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a5e11a11243484e16c20247e3e0d4f890"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5e11a11243484e16c20247e3e0d4f890">◆ </a></span>IsPooling2dSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsPooling2dSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_pooling2d_descriptor.html">Pooling2dDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02189">2189</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02193"></a><span class="lineno"> 2193</span> {</div> +<div class="line"><a name="l02194"></a><span class="lineno"> 2194</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02195"></a><span class="lineno"> 2195</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02196"></a><span class="lineno"> 2196</span>  </div> +<div class="line"><a name="l02197"></a><span class="lineno"> 2197</span>  <span class="comment">// Define supported output and inputs types.</span></div> +<div class="line"><a name="l02198"></a><span class="lineno"> 2198</span>  std::array<DataType,6> supportedTypes =</div> +<div class="line"><a name="l02199"></a><span class="lineno"> 2199</span>  {</div> +<div class="line"><a name="l02200"></a><span class="lineno"> 2200</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02201"></a><span class="lineno"> 2201</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02202"></a><span class="lineno"> 2202</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02203"></a><span class="lineno"> 2203</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02204"></a><span class="lineno"> 2204</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02205"></a><span class="lineno"> 2205</span>  };</div> +<div class="line"><a name="l02206"></a><span class="lineno"> 2206</span>  </div> +<div class="line"><a name="l02207"></a><span class="lineno"> 2207</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02208"></a><span class="lineno"> 2208</span>  <span class="stringliteral">"Reference poolind2d: input is not a supported type."</span>);</div> +<div class="line"><a name="l02209"></a><span class="lineno"> 2209</span>  </div> +<div class="line"><a name="l02210"></a><span class="lineno"> 2210</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02211"></a><span class="lineno"> 2211</span>  <span class="stringliteral">"Reference poolind2d: output is not a supported type."</span>);</div> +<div class="line"><a name="l02212"></a><span class="lineno"> 2212</span>  </div> +<div class="line"><a name="l02213"></a><span class="lineno"> 2213</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02214"></a><span class="lineno"> 2214</span>  <span class="stringliteral">"Reference poolind2d: input and output types are mismatched."</span>);</div> +<div class="line"><a name="l02215"></a><span class="lineno"> 2215</span>  </div> +<div class="line"><a name="l02216"></a><span class="lineno"> 2216</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02217"></a><span class="lineno"> 2217</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a677818beaa9f767c7fb0442fb9db2881"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a677818beaa9f767c7fb0442fb9db2881">◆ </a></span>IsPooling3dSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsPooling3dSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_pooling3d_descriptor.html">Pooling3dDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02219">2219</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02223"></a><span class="lineno"> 2223</span> {</div> +<div class="line"><a name="l02224"></a><span class="lineno"> 2224</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02225"></a><span class="lineno"> 2225</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02226"></a><span class="lineno"> 2226</span>  </div> +<div class="line"><a name="l02227"></a><span class="lineno"> 2227</span>  <span class="comment">// Define supported output and inputs types.</span></div> +<div class="line"><a name="l02228"></a><span class="lineno"> 2228</span>  std::array<DataType,6> supportedTypes =</div> +<div class="line"><a name="l02229"></a><span class="lineno"> 2229</span>  {</div> +<div class="line"><a name="l02230"></a><span class="lineno"> 2230</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02231"></a><span class="lineno"> 2231</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02232"></a><span class="lineno"> 2232</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02233"></a><span class="lineno"> 2233</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02234"></a><span class="lineno"> 2234</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02235"></a><span class="lineno"> 2235</span>  };</div> +<div class="line"><a name="l02236"></a><span class="lineno"> 2236</span>  </div> +<div class="line"><a name="l02237"></a><span class="lineno"> 2237</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02238"></a><span class="lineno"> 2238</span>  <span class="stringliteral">"Reference poolind3d: input is not a supported type."</span>);</div> +<div class="line"><a name="l02239"></a><span class="lineno"> 2239</span>  </div> +<div class="line"><a name="l02240"></a><span class="lineno"> 2240</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02241"></a><span class="lineno"> 2241</span>  <span class="stringliteral">"Reference poolind3d: output is not a supported type."</span>);</div> +<div class="line"><a name="l02242"></a><span class="lineno"> 2242</span>  </div> +<div class="line"><a name="l02243"></a><span class="lineno"> 2243</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02244"></a><span class="lineno"> 2244</span>  <span class="stringliteral">"Reference poolind3d: input and output types are mismatched."</span>);</div> +<div class="line"><a name="l02245"></a><span class="lineno"> 2245</span>  </div> +<div class="line"><a name="l02246"></a><span class="lineno"> 2246</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02247"></a><span class="lineno"> 2247</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a98b405bfcfb15d1aa09042ffc370f370"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a98b405bfcfb15d1aa09042ffc370f370">◆ </a></span>IsPreluSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsPreluSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>alpha</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02707">2707</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02711"></a><span class="lineno"> 2711</span> {</div> +<div class="line"><a name="l02712"></a><span class="lineno"> 2712</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02713"></a><span class="lineno"> 2713</span>  </div> +<div class="line"><a name="l02714"></a><span class="lineno"> 2714</span>  std::array<DataType, 6> supportedTypes</div> +<div class="line"><a name="l02715"></a><span class="lineno"> 2715</span>  {</div> +<div class="line"><a name="l02716"></a><span class="lineno"> 2716</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02717"></a><span class="lineno"> 2717</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02718"></a><span class="lineno"> 2718</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02719"></a><span class="lineno"> 2719</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02720"></a><span class="lineno"> 2720</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02721"></a><span class="lineno"> 2721</span>  };</div> +<div class="line"><a name="l02722"></a><span class="lineno"> 2722</span>  </div> +<div class="line"><a name="l02723"></a><span class="lineno"> 2723</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02724"></a><span class="lineno"> 2724</span>  <span class="stringliteral">"PReLU: input is not a supported type."</span>);</div> +<div class="line"><a name="l02725"></a><span class="lineno"> 2725</span>  </div> +<div class="line"><a name="l02726"></a><span class="lineno"> 2726</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(alpha, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02727"></a><span class="lineno"> 2727</span>  <span class="stringliteral">"PReLU: alpha is not a supported type."</span>);</div> +<div class="line"><a name="l02728"></a><span class="lineno"> 2728</span>  </div> +<div class="line"><a name="l02729"></a><span class="lineno"> 2729</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02730"></a><span class="lineno"> 2730</span>  <span class="stringliteral">"PReLU: output is not a supported type."</span>);</div> +<div class="line"><a name="l02731"></a><span class="lineno"> 2731</span>  </div> +<div class="line"><a name="l02732"></a><span class="lineno"> 2732</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, alpha, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02733"></a><span class="lineno"> 2733</span>  <span class="stringliteral">"PReLU: input, alpha and output types are mismatched"</span>);</div> +<div class="line"><a name="l02734"></a><span class="lineno"> 2734</span>  </div> +<div class="line"><a name="l02735"></a><span class="lineno"> 2735</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ShapesAreBroadcastCompatible(input, alpha, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02736"></a><span class="lineno"> 2736</span>  <span class="stringliteral">"PReLU: shapes are not suitable for implicit broadcast"</span>);</div> +<div class="line"><a name="l02737"></a><span class="lineno"> 2737</span>  </div> +<div class="line"><a name="l02738"></a><span class="lineno"> 2738</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02739"></a><span class="lineno"> 2739</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a07cd270641b5876471c8ba9e77bc3abe"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a07cd270641b5876471c8ba9e77bc3abe">◆ </a></span>IsQLstmSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsQLstmSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>previousOutputIn</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>previousCellStateIn</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>outputStateOut</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>cellStateOut</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_q_lstm_descriptor.html">QLstmDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> & </td> + <td class="paramname"><em>paramsInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02250">2250</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02259"></a><span class="lineno"> 2259</span> {</div> +<div class="line"><a name="l02260"></a><span class="lineno"> 2260</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input);</div> +<div class="line"><a name="l02261"></a><span class="lineno"> 2261</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(previousOutputIn);</div> +<div class="line"><a name="l02262"></a><span class="lineno"> 2262</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(previousCellStateIn);</div> +<div class="line"><a name="l02263"></a><span class="lineno"> 2263</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(outputStateOut);</div> +<div class="line"><a name="l02264"></a><span class="lineno"> 2264</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(cellStateOut);</div> +<div class="line"><a name="l02265"></a><span class="lineno"> 2265</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(output);</div> +<div class="line"><a name="l02266"></a><span class="lineno"> 2266</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02267"></a><span class="lineno"> 2267</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(paramsInfo);</div> +<div class="line"><a name="l02268"></a><span class="lineno"> 2268</span>  </div> +<div class="line"><a name="l02269"></a><span class="lineno"> 2269</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(reasonIfUnsupported);</div> +<div class="line"><a name="l02270"></a><span class="lineno"> 2270</span>  </div> +<div class="line"><a name="l02271"></a><span class="lineno"> 2271</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l02272"></a><span class="lineno"> 2272</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a7c739d08cf4fe3f9adef635be0544362"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7c739d08cf4fe3f9adef635be0544362">◆ </a></span>IsQuantizeSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsQuantizeSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02274">2274</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02277"></a><span class="lineno"> 2277</span> {</div> +<div class="line"><a name="l02278"></a><span class="lineno"> 2278</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02279"></a><span class="lineno"> 2279</span>  </div> +<div class="line"><a name="l02280"></a><span class="lineno"> 2280</span>  <span class="comment">// Define supported input types.</span></div> +<div class="line"><a name="l02281"></a><span class="lineno"> 2281</span>  std::array<DataType,7> supportedInputTypes = {</div> +<div class="line"><a name="l02282"></a><span class="lineno"> 2282</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02283"></a><span class="lineno"> 2283</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02284"></a><span class="lineno"> 2284</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02285"></a><span class="lineno"> 2285</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02286"></a><span class="lineno"> 2286</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l02287"></a><span class="lineno"> 2287</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02288"></a><span class="lineno"> 2288</span>  };</div> +<div class="line"><a name="l02289"></a><span class="lineno"> 2289</span>  </div> +<div class="line"><a name="l02290"></a><span class="lineno"> 2290</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02291"></a><span class="lineno"> 2291</span>  <span class="stringliteral">"Reference quantize: input type not supported."</span>);</div> +<div class="line"><a name="l02292"></a><span class="lineno"> 2292</span>  </div> +<div class="line"><a name="l02293"></a><span class="lineno"> 2293</span>  <span class="comment">// Define supported output types.</span></div> +<div class="line"><a name="l02294"></a><span class="lineno"> 2294</span>  std::array<DataType,4> supportedOutputTypes = {</div> +<div class="line"><a name="l02295"></a><span class="lineno"> 2295</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02296"></a><span class="lineno"> 2296</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02297"></a><span class="lineno"> 2297</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l02298"></a><span class="lineno"> 2298</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02299"></a><span class="lineno"> 2299</span>  };</div> +<div class="line"><a name="l02300"></a><span class="lineno"> 2300</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02301"></a><span class="lineno"> 2301</span>  <span class="stringliteral">"Reference quantize: output type not supported."</span>);</div> +<div class="line"><a name="l02302"></a><span class="lineno"> 2302</span>  </div> +<div class="line"><a name="l02303"></a><span class="lineno"> 2303</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02304"></a><span class="lineno"> 2304</span>  <span class="stringliteral">"Reference quantize: input and output shapes have different num total elements."</span>);</div> +<div class="line"><a name="l02305"></a><span class="lineno"> 2305</span>  </div> +<div class="line"><a name="l02306"></a><span class="lineno"> 2306</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02307"></a><span class="lineno"> 2307</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a683bb260b89ee0c0b9c409f3c4956acb"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a683bb260b89ee0c0b9c409f3c4956acb">◆ </a></span>IsRankSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsRankSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02309">2309</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02312"></a><span class="lineno"> 2312</span> {</div> +<div class="line"><a name="l02313"></a><span class="lineno"> 2313</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input);</div> +<div class="line"><a name="l02314"></a><span class="lineno"> 2314</span>  <span class="comment">// Define supported output types.</span></div> +<div class="line"><a name="l02315"></a><span class="lineno"> 2315</span>  std::array<DataType,1> supportedOutputTypes =</div> +<div class="line"><a name="l02316"></a><span class="lineno"> 2316</span>  {</div> +<div class="line"><a name="l02317"></a><span class="lineno"> 2317</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> +<div class="line"><a name="l02318"></a><span class="lineno"> 2318</span>  };</div> +<div class="line"><a name="l02319"></a><span class="lineno"> 2319</span>  </div> +<div class="line"><a name="l02320"></a><span class="lineno"> 2320</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02321"></a><span class="lineno"> 2321</span>  <span class="stringliteral">"Reference rank: input type not supported."</span>);</div> +<div class="line"><a name="l02322"></a><span class="lineno"> 2322</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="aa253f9963038f4d68877caf6a9a091b4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa253f9963038f4d68877caf6a9a091b4">◆ </a></span>IsReduceSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsReduceSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_reduce_descriptor.html">ReduceDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02324">2324</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02328"></a><span class="lineno"> 2328</span> {</div> +<div class="line"><a name="l02329"></a><span class="lineno"> 2329</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02330"></a><span class="lineno"> 2330</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02331"></a><span class="lineno"> 2331</span>  std::array<DataType,7> supportedTypes =</div> +<div class="line"><a name="l02332"></a><span class="lineno"> 2332</span>  {</div> +<div class="line"><a name="l02333"></a><span class="lineno"> 2333</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02334"></a><span class="lineno"> 2334</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02335"></a><span class="lineno"> 2335</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02336"></a><span class="lineno"> 2336</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02337"></a><span class="lineno"> 2337</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l02338"></a><span class="lineno"> 2338</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l02339"></a><span class="lineno"> 2339</span>  };</div> +<div class="line"><a name="l02340"></a><span class="lineno"> 2340</span>  </div> +<div class="line"><a name="l02341"></a><span class="lineno"> 2341</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02342"></a><span class="lineno"> 2342</span>  <span class="stringliteral">"Reference Reduce: input type not supported"</span>);</div> +<div class="line"><a name="l02343"></a><span class="lineno"> 2343</span>  </div> +<div class="line"><a name="l02344"></a><span class="lineno"> 2344</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02345"></a><span class="lineno"> 2345</span>  <span class="stringliteral">"Reference Reduce: output type not supported"</span>);</div> +<div class="line"><a name="l02346"></a><span class="lineno"> 2346</span>  </div> +<div class="line"><a name="l02347"></a><span class="lineno"> 2347</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02348"></a><span class="lineno"> 2348</span>  <span class="stringliteral">"Reference Reduce: input and output types not matching"</span>);</div> +<div class="line"><a name="l02349"></a><span class="lineno"> 2349</span>  </div> +<div class="line"><a name="l02350"></a><span class="lineno"> 2350</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02351"></a><span class="lineno"> 2351</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="ae96fb1672cadd4e9b87809004799b6da"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae96fb1672cadd4e9b87809004799b6da">◆ </a></span>IsReshapeSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsReshapeSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_reshape_descriptor.html">ReshapeDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02353">2353</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02357"></a><span class="lineno"> 2357</span> {</div> +<div class="line"><a name="l02358"></a><span class="lineno"> 2358</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(output);</div> +<div class="line"><a name="l02359"></a><span class="lineno"> 2359</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02360"></a><span class="lineno"> 2360</span>  <span class="comment">// Define supported output types.</span></div> +<div class="line"><a name="l02361"></a><span class="lineno"> 2361</span>  std::array<DataType,8> supportedOutputTypes =</div> +<div class="line"><a name="l02362"></a><span class="lineno"> 2362</span>  {</div> +<div class="line"><a name="l02363"></a><span class="lineno"> 2363</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> +<div class="line"><a name="l02364"></a><span class="lineno"> 2364</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02365"></a><span class="lineno"> 2365</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02366"></a><span class="lineno"> 2366</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> +<div class="line"><a name="l02367"></a><span class="lineno"> 2367</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02368"></a><span class="lineno"> 2368</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02369"></a><span class="lineno"> 2369</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l02370"></a><span class="lineno"> 2370</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a></div> +<div class="line"><a name="l02371"></a><span class="lineno"> 2371</span>  };</div> +<div class="line"><a name="l02372"></a><span class="lineno"> 2372</span>  </div> +<div class="line"><a name="l02373"></a><span class="lineno"> 2373</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedOutputTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02374"></a><span class="lineno"> 2374</span>  <span class="stringliteral">"Reference reshape: input type not supported."</span>);</div> +<div class="line"><a name="l02375"></a><span class="lineno"> 2375</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a85e08ffdec56499a2f78859229b51aa4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a85e08ffdec56499a2f78859229b51aa4">◆ </a></span>IsResizeSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsResizeSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_resize_descriptor.html">ResizeDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02377">2377</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02381"></a><span class="lineno"> 2381</span> {</div> +<div class="line"><a name="l02382"></a><span class="lineno"> 2382</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02383"></a><span class="lineno"> 2383</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02384"></a><span class="lineno"> 2384</span>  std::array<DataType,6> supportedTypes =</div> +<div class="line"><a name="l02385"></a><span class="lineno"> 2385</span>  {</div> +<div class="line"><a name="l02386"></a><span class="lineno"> 2386</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> +<div class="line"><a name="l02387"></a><span class="lineno"> 2387</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02388"></a><span class="lineno"> 2388</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02389"></a><span class="lineno"> 2389</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02390"></a><span class="lineno"> 2390</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02391"></a><span class="lineno"> 2391</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02392"></a><span class="lineno"> 2392</span>  };</div> +<div class="line"><a name="l02393"></a><span class="lineno"> 2393</span>  </div> +<div class="line"><a name="l02394"></a><span class="lineno"> 2394</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02395"></a><span class="lineno"> 2395</span>  <span class="stringliteral">"Reference Resize: input type not supported"</span>);</div> +<div class="line"><a name="l02396"></a><span class="lineno"> 2396</span>  </div> +<div class="line"><a name="l02397"></a><span class="lineno"> 2397</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02398"></a><span class="lineno"> 2398</span>  <span class="stringliteral">"Reference Resize: output type not supported"</span>);</div> +<div class="line"><a name="l02399"></a><span class="lineno"> 2399</span>  </div> +<div class="line"><a name="l02400"></a><span class="lineno"> 2400</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02401"></a><span class="lineno"> 2401</span>  <span class="stringliteral">"Reference Resize: input and output types not matching"</span>);</div> +<div class="line"><a name="l02402"></a><span class="lineno"> 2402</span>  </div> +<div class="line"><a name="l02403"></a><span class="lineno"> 2403</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02404"></a><span class="lineno"> 2404</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a138eb039ccebe50bd56b7a0244b0754e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a138eb039ccebe50bd56b7a0244b0754e">◆ </a></span>IsReverseV2Supported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsReverseV2Supported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02406">2406</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02410"></a><span class="lineno"> 2410</span> {</div> +<div class="line"><a name="l02411"></a><span class="lineno"> 2411</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02412"></a><span class="lineno"> 2412</span>  <span class="comment">// ReverseV2 is data type agnostic so it can support all the types in the Reference backend</span></div> +<div class="line"><a name="l02413"></a><span class="lineno"> 2413</span>  std::array<DataType,8> supportedTypes =</div> +<div class="line"><a name="l02414"></a><span class="lineno"> 2414</span>  {</div> +<div class="line"><a name="l02415"></a><span class="lineno"> 2415</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> +<div class="line"><a name="l02416"></a><span class="lineno"> 2416</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02417"></a><span class="lineno"> 2417</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02418"></a><span class="lineno"> 2418</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02419"></a><span class="lineno"> 2419</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02420"></a><span class="lineno"> 2420</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l02421"></a><span class="lineno"> 2421</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l02422"></a><span class="lineno"> 2422</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l02423"></a><span class="lineno"> 2423</span>  };</div> +<div class="line"><a name="l02424"></a><span class="lineno"> 2424</span>  </div> +<div class="line"><a name="l02425"></a><span class="lineno"> 2425</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02426"></a><span class="lineno"> 2426</span>  <span class="stringliteral">"Reference ReverseV2: input0 type not supported"</span>);</div> +<div class="line"><a name="l02427"></a><span class="lineno"> 2427</span>  </div> +<div class="line"><a name="l02428"></a><span class="lineno"> 2428</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02429"></a><span class="lineno"> 2429</span>  <span class="stringliteral">"Reference ReverseV2: output type not supported"</span>);</div> +<div class="line"><a name="l02430"></a><span class="lineno"> 2430</span>  </div> +<div class="line"><a name="l02431"></a><span class="lineno"> 2431</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02432"></a><span class="lineno"> 2432</span>  <span class="stringliteral">"Reference ReverseV2: input0 and output types not matching"</span>);</div> +<div class="line"><a name="l02433"></a><span class="lineno"> 2433</span>  </div> +<div class="line"><a name="l02434"></a><span class="lineno"> 2434</span>  std::array<DataType,6> input2SupportedTypes =</div> +<div class="line"><a name="l02435"></a><span class="lineno"> 2435</span>  {</div> +<div class="line"><a name="l02436"></a><span class="lineno"> 2436</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l02437"></a><span class="lineno"> 2437</span>  };</div> +<div class="line"><a name="l02438"></a><span class="lineno"> 2438</span>  </div> +<div class="line"><a name="l02439"></a><span class="lineno"> 2439</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input1, input2SupportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02440"></a><span class="lineno"> 2440</span>  <span class="stringliteral">"Reference ReverseV2: input1 type not supported"</span>);</div> +<div class="line"><a name="l02441"></a><span class="lineno"> 2441</span>  </div> +<div class="line"><a name="l02442"></a><span class="lineno"> 2442</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02443"></a><span class="lineno"> 2443</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a4b423d2cd51bbfb363141d823cecf943"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4b423d2cd51bbfb363141d823cecf943">◆ </a></span>IsShapeSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsShapeSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02445">2445</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02448"></a><span class="lineno"> 2448</span> {</div> +<div class="line"><a name="l02449"></a><span class="lineno"> 2449</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input);</div> +<div class="line"><a name="l02450"></a><span class="lineno"> 2450</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02451"></a><span class="lineno"> 2451</span>  </div> +<div class="line"><a name="l02452"></a><span class="lineno"> 2452</span>  std::array<DataType, 1> supportedTypes =</div> +<div class="line"><a name="l02453"></a><span class="lineno"> 2453</span>  {</div> +<div class="line"><a name="l02454"></a><span class="lineno"> 2454</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l02455"></a><span class="lineno"> 2455</span>  };</div> +<div class="line"><a name="l02456"></a><span class="lineno"> 2456</span>  </div> +<div class="line"><a name="l02457"></a><span class="lineno"> 2457</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02458"></a><span class="lineno"> 2458</span>  <span class="stringliteral">"Reference Shape: output type not supported"</span>);</div> +<div class="line"><a name="l02459"></a><span class="lineno"> 2459</span>  </div> +<div class="line"><a name="l02460"></a><span class="lineno"> 2460</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02461"></a><span class="lineno"> 2461</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a29d47a3b7a5f312d858c2a1c67905a83"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a29d47a3b7a5f312d858c2a1c67905a83">◆ </a></span>IsSliceSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsSliceSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_slice_descriptor.html">SliceDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02463">2463</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02467"></a><span class="lineno"> 2467</span> {</div> +<div class="line"><a name="l02468"></a><span class="lineno"> 2468</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02469"></a><span class="lineno"> 2469</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02470"></a><span class="lineno"> 2470</span>  </div> +<div class="line"><a name="l02471"></a><span class="lineno"> 2471</span>  std::array<DataType, 5> supportedTypes =</div> +<div class="line"><a name="l02472"></a><span class="lineno"> 2472</span>  {</div> +<div class="line"><a name="l02473"></a><span class="lineno"> 2473</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02474"></a><span class="lineno"> 2474</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02475"></a><span class="lineno"> 2475</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02476"></a><span class="lineno"> 2476</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l02477"></a><span class="lineno"> 2477</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l02478"></a><span class="lineno"> 2478</span>  };</div> +<div class="line"><a name="l02479"></a><span class="lineno"> 2479</span>  </div> +<div class="line"><a name="l02480"></a><span class="lineno"> 2480</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02481"></a><span class="lineno"> 2481</span>  <span class="stringliteral">"Reference Slice: input type not supported"</span>);</div> +<div class="line"><a name="l02482"></a><span class="lineno"> 2482</span>  </div> +<div class="line"><a name="l02483"></a><span class="lineno"> 2483</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02484"></a><span class="lineno"> 2484</span>  <span class="stringliteral">"Reference Slice: output type not supported"</span>);</div> +<div class="line"><a name="l02485"></a><span class="lineno"> 2485</span>  </div> +<div class="line"><a name="l02486"></a><span class="lineno"> 2486</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02487"></a><span class="lineno"> 2487</span>  <span class="stringliteral">"Reference Slice: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l02488"></a><span class="lineno"> 2488</span>  </div> +<div class="line"><a name="l02489"></a><span class="lineno"> 2489</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02490"></a><span class="lineno"> 2490</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="abc2d31208c6bcced31369b024eee3b65"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abc2d31208c6bcced31369b024eee3b65">◆ </a></span>IsSoftmaxSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsSoftmaxSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_softmax_descriptor.html">SoftmaxDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02492">2492</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02496"></a><span class="lineno"> 2496</span> {</div> +<div class="line"><a name="l02497"></a><span class="lineno"> 2497</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02498"></a><span class="lineno"> 2498</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02499"></a><span class="lineno"> 2499</span>  std::array<DataType,7> supportedTypes =</div> +<div class="line"><a name="l02500"></a><span class="lineno"> 2500</span>  {</div> +<div class="line"><a name="l02501"></a><span class="lineno"> 2501</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02502"></a><span class="lineno"> 2502</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02503"></a><span class="lineno"> 2503</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l02504"></a><span class="lineno"> 2504</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02505"></a><span class="lineno"> 2505</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02506"></a><span class="lineno"> 2506</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02507"></a><span class="lineno"> 2507</span>  };</div> +<div class="line"><a name="l02508"></a><span class="lineno"> 2508</span>  </div> +<div class="line"><a name="l02509"></a><span class="lineno"> 2509</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02510"></a><span class="lineno"> 2510</span>  <span class="stringliteral">"Reference Softmax: output type not supported"</span>);</div> +<div class="line"><a name="l02511"></a><span class="lineno"> 2511</span>  </div> +<div class="line"><a name="l02512"></a><span class="lineno"> 2512</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02513"></a><span class="lineno"> 2513</span>  <span class="stringliteral">"Reference Softmax: input type not supported"</span>);</div> +<div class="line"><a name="l02514"></a><span class="lineno"> 2514</span>  </div> +<div class="line"><a name="l02515"></a><span class="lineno"> 2515</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02516"></a><span class="lineno"> 2516</span>  <span class="stringliteral">"Reference Softmax: input type not supported"</span>);</div> +<div class="line"><a name="l02517"></a><span class="lineno"> 2517</span>  </div> +<div class="line"><a name="l02518"></a><span class="lineno"> 2518</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02519"></a><span class="lineno"> 2519</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="aeef91cdb55b6cd1cbda03f42553fb861"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aeef91cdb55b6cd1cbda03f42553fb861">◆ </a></span>IsSpaceToBatchNdSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsSpaceToBatchNdSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_space_to_batch_nd_descriptor.html">SpaceToBatchNdDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02521">2521</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02525"></a><span class="lineno"> 2525</span> {</div> +<div class="line"><a name="l02526"></a><span class="lineno"> 2526</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02527"></a><span class="lineno"> 2527</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02528"></a><span class="lineno"> 2528</span>  std::array<DataType,6> supportedTypes =</div> +<div class="line"><a name="l02529"></a><span class="lineno"> 2529</span>  {</div> +<div class="line"><a name="l02530"></a><span class="lineno"> 2530</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02531"></a><span class="lineno"> 2531</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02532"></a><span class="lineno"> 2532</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02533"></a><span class="lineno"> 2533</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02534"></a><span class="lineno"> 2534</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02535"></a><span class="lineno"> 2535</span>  };</div> +<div class="line"><a name="l02536"></a><span class="lineno"> 2536</span>  </div> +<div class="line"><a name="l02537"></a><span class="lineno"> 2537</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02538"></a><span class="lineno"> 2538</span>  <span class="stringliteral">"Reference SpaceToBatchNd: input type not supported"</span>);</div> +<div class="line"><a name="l02539"></a><span class="lineno"> 2539</span>  </div> +<div class="line"><a name="l02540"></a><span class="lineno"> 2540</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02541"></a><span class="lineno"> 2541</span>  <span class="stringliteral">"Reference SpaceToBatchNd: output type not supported"</span>);</div> +<div class="line"><a name="l02542"></a><span class="lineno"> 2542</span>  </div> +<div class="line"><a name="l02543"></a><span class="lineno"> 2543</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02544"></a><span class="lineno"> 2544</span>  <span class="stringliteral">"Reference SpaceToBatchNd: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l02545"></a><span class="lineno"> 2545</span>  </div> +<div class="line"><a name="l02546"></a><span class="lineno"> 2546</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02547"></a><span class="lineno"> 2547</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="abd0c6ea3807227b94374ff321a47284d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abd0c6ea3807227b94374ff321a47284d">◆ </a></span>IsSpaceToDepthSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsSpaceToDepthSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_space_to_depth_descriptor.html">SpaceToDepthDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02549">2549</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02553"></a><span class="lineno"> 2553</span> {</div> +<div class="line"><a name="l02554"></a><span class="lineno"> 2554</span>  </div> +<div class="line"><a name="l02555"></a><span class="lineno"> 2555</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02556"></a><span class="lineno"> 2556</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02557"></a><span class="lineno"> 2557</span>  </div> +<div class="line"><a name="l02558"></a><span class="lineno"> 2558</span>  std::array<DataType,6> supportedTypes =</div> +<div class="line"><a name="l02559"></a><span class="lineno"> 2559</span>  {</div> +<div class="line"><a name="l02560"></a><span class="lineno"> 2560</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02561"></a><span class="lineno"> 2561</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02562"></a><span class="lineno"> 2562</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02563"></a><span class="lineno"> 2563</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02564"></a><span class="lineno"> 2564</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02565"></a><span class="lineno"> 2565</span>  };</div> +<div class="line"><a name="l02566"></a><span class="lineno"> 2566</span>  </div> +<div class="line"><a name="l02567"></a><span class="lineno"> 2567</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02568"></a><span class="lineno"> 2568</span>  <span class="stringliteral">"Reference SpaceToDepth: input type not supported"</span>);</div> +<div class="line"><a name="l02569"></a><span class="lineno"> 2569</span>  </div> +<div class="line"><a name="l02570"></a><span class="lineno"> 2570</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02571"></a><span class="lineno"> 2571</span>  <span class="stringliteral">"Reference SpaceToDepth: output type not supported"</span>);</div> +<div class="line"><a name="l02572"></a><span class="lineno"> 2572</span>  </div> +<div class="line"><a name="l02573"></a><span class="lineno"> 2573</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02574"></a><span class="lineno"> 2574</span>  <span class="stringliteral">"Reference SpaceToDepth: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l02575"></a><span class="lineno"> 2575</span>  </div> +<div class="line"><a name="l02576"></a><span class="lineno"> 2576</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02577"></a><span class="lineno"> 2577</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a9b9c3c80d296907362f8b407b6a20727"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9b9c3c80d296907362f8b407b6a20727">◆ </a></span>IsSplitterSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsSplitterSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< std::reference_wrapper< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> >> & </td> + <td class="paramname"><em>outputs</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_views_descriptor.html">ViewsDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02579">2579</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02583"></a><span class="lineno"> 2583</span> {</div> +<div class="line"><a name="l02584"></a><span class="lineno"> 2584</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02585"></a><span class="lineno"> 2585</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02586"></a><span class="lineno"> 2586</span>  std::array<DataType,6> supportedTypes =</div> +<div class="line"><a name="l02587"></a><span class="lineno"> 2587</span>  {</div> +<div class="line"><a name="l02588"></a><span class="lineno"> 2588</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02589"></a><span class="lineno"> 2589</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02590"></a><span class="lineno"> 2590</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02591"></a><span class="lineno"> 2591</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02592"></a><span class="lineno"> 2592</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02593"></a><span class="lineno"> 2593</span>  };</div> +<div class="line"><a name="l02594"></a><span class="lineno"> 2594</span>  </div> +<div class="line"><a name="l02595"></a><span class="lineno"> 2595</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02596"></a><span class="lineno"> 2596</span>  <span class="stringliteral">"Reference splitter: output type not supported"</span>);</div> +<div class="line"><a name="l02597"></a><span class="lineno"> 2597</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> TensorInfo& output : outputs)</div> +<div class="line"><a name="l02598"></a><span class="lineno"> 2598</span>  {</div> +<div class="line"><a name="l02599"></a><span class="lineno"> 2599</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02600"></a><span class="lineno"> 2600</span>  <span class="stringliteral">"Reference splitter: input type not supported"</span>);</div> +<div class="line"><a name="l02601"></a><span class="lineno"> 2601</span>  </div> +<div class="line"><a name="l02602"></a><span class="lineno"> 2602</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02603"></a><span class="lineno"> 2603</span>  <span class="stringliteral">"Reference splitter: input and output types mismatched."</span>);</div> +<div class="line"><a name="l02604"></a><span class="lineno"> 2604</span>  }</div> +<div class="line"><a name="l02605"></a><span class="lineno"> 2605</span>  </div> +<div class="line"><a name="l02606"></a><span class="lineno"> 2606</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02607"></a><span class="lineno"> 2607</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="abd5430fb7e3f330b675a797d690e6eb4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abd5430fb7e3f330b675a797d690e6eb4">◆ </a></span>IsStackSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsStackSupported </td> + <td>(</td> + <td class="paramtype">const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * > & </td> + <td class="paramname"><em>inputs</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_stack_descriptor.html">StackDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02609">2609</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02613"></a><span class="lineno"> 2613</span> {</div> +<div class="line"><a name="l02614"></a><span class="lineno"> 2614</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02615"></a><span class="lineno"> 2615</span>  </div> +<div class="line"><a name="l02616"></a><span class="lineno"> 2616</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02617"></a><span class="lineno"> 2617</span>  std::array<DataType,7> supportedTypes =</div> +<div class="line"><a name="l02618"></a><span class="lineno"> 2618</span>  {</div> +<div class="line"><a name="l02619"></a><span class="lineno"> 2619</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02620"></a><span class="lineno"> 2620</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02621"></a><span class="lineno"> 2621</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02622"></a><span class="lineno"> 2622</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02623"></a><span class="lineno"> 2623</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l02624"></a><span class="lineno"> 2624</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l02625"></a><span class="lineno"> 2625</span>  };</div> +<div class="line"><a name="l02626"></a><span class="lineno"> 2626</span>  </div> +<div class="line"><a name="l02627"></a><span class="lineno"> 2627</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02628"></a><span class="lineno"> 2628</span>  <span class="stringliteral">"Reference stack: output type not supported"</span>);</div> +<div class="line"><a name="l02629"></a><span class="lineno"> 2629</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> TensorInfo* input : inputs)</div> +<div class="line"><a name="l02630"></a><span class="lineno"> 2630</span>  {</div> +<div class="line"><a name="l02631"></a><span class="lineno"> 2631</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(input != <span class="keyword">nullptr</span>);</div> +<div class="line"><a name="l02632"></a><span class="lineno"> 2632</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(*input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02633"></a><span class="lineno"> 2633</span>  <span class="stringliteral">"Reference stack: input type not supported"</span>);</div> +<div class="line"><a name="l02634"></a><span class="lineno"> 2634</span>  </div> +<div class="line"><a name="l02635"></a><span class="lineno"> 2635</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(*input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02636"></a><span class="lineno"> 2636</span>  <span class="stringliteral">"Reference stack: input and output types mismatched."</span>);</div> +<div class="line"><a name="l02637"></a><span class="lineno"> 2637</span>  }</div> +<div class="line"><a name="l02638"></a><span class="lineno"> 2638</span>  </div> +<div class="line"><a name="l02639"></a><span class="lineno"> 2639</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02640"></a><span class="lineno"> 2640</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a227f01f31ce42d62f160d49d5d044a3b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a227f01f31ce42d62f160d49d5d044a3b">◆ </a></span>IsStridedSliceSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsStridedSliceSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_strided_slice_descriptor.html">StridedSliceDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02642">2642</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02646"></a><span class="lineno"> 2646</span> {</div> +<div class="line"><a name="l02647"></a><span class="lineno"> 2647</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02648"></a><span class="lineno"> 2648</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02649"></a><span class="lineno"> 2649</span>  </div> +<div class="line"><a name="l02650"></a><span class="lineno"> 2650</span>  std::array<DataType,5> supportedTypes =</div> +<div class="line"><a name="l02651"></a><span class="lineno"> 2651</span>  {</div> +<div class="line"><a name="l02652"></a><span class="lineno"> 2652</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02653"></a><span class="lineno"> 2653</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02654"></a><span class="lineno"> 2654</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02655"></a><span class="lineno"> 2655</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02656"></a><span class="lineno"> 2656</span>  };</div> +<div class="line"><a name="l02657"></a><span class="lineno"> 2657</span>  </div> +<div class="line"><a name="l02658"></a><span class="lineno"> 2658</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02659"></a><span class="lineno"> 2659</span>  <span class="stringliteral">"Reference StridedSlice: input type not supported"</span>);</div> +<div class="line"><a name="l02660"></a><span class="lineno"> 2660</span>  </div> +<div class="line"><a name="l02661"></a><span class="lineno"> 2661</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02662"></a><span class="lineno"> 2662</span>  <span class="stringliteral">"Reference StridedSlice: output type not supported"</span>);</div> +<div class="line"><a name="l02663"></a><span class="lineno"> 2663</span>  </div> +<div class="line"><a name="l02664"></a><span class="lineno"> 2664</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02665"></a><span class="lineno"> 2665</span>  <span class="stringliteral">"Reference StridedSlice: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l02666"></a><span class="lineno"> 2666</span>  </div> +<div class="line"><a name="l02667"></a><span class="lineno"> 2667</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02668"></a><span class="lineno"> 2668</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a6e14b055cf3d72d4de0cc9f68616925c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6e14b055cf3d72d4de0cc9f68616925c">◆ </a></span>IsSubtractionSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsSubtractionSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02670">2670</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02674"></a><span class="lineno"> 2674</span> {</div> +<div class="line"><a name="l02675"></a><span class="lineno"> 2675</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02676"></a><span class="lineno"> 2676</span>  </div> +<div class="line"><a name="l02677"></a><span class="lineno"> 2677</span>  std::array<DataType,7> supportedTypes = {</div> +<div class="line"><a name="l02678"></a><span class="lineno"> 2678</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02679"></a><span class="lineno"> 2679</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02680"></a><span class="lineno"> 2680</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02681"></a><span class="lineno"> 2681</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02682"></a><span class="lineno"> 2682</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l02683"></a><span class="lineno"> 2683</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l02684"></a><span class="lineno"> 2684</span>  };</div> +<div class="line"><a name="l02685"></a><span class="lineno"> 2685</span>  </div> +<div class="line"><a name="l02686"></a><span class="lineno"> 2686</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02687"></a><span class="lineno"> 2687</span>  <span class="stringliteral">"Reference subtraction: input 0 is not a supported type."</span>);</div> +<div class="line"><a name="l02688"></a><span class="lineno"> 2688</span>  </div> +<div class="line"><a name="l02689"></a><span class="lineno"> 2689</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02690"></a><span class="lineno"> 2690</span>  <span class="stringliteral">"Reference subtraction: input 1 is not a supported type."</span>);</div> +<div class="line"><a name="l02691"></a><span class="lineno"> 2691</span>  </div> +<div class="line"><a name="l02692"></a><span class="lineno"> 2692</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02693"></a><span class="lineno"> 2693</span>  <span class="stringliteral">"Reference subtraction: output is not a supported type."</span>);</div> +<div class="line"><a name="l02694"></a><span class="lineno"> 2694</span>  </div> +<div class="line"><a name="l02695"></a><span class="lineno"> 2695</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, input1), reasonIfUnsupported,</div> +<div class="line"><a name="l02696"></a><span class="lineno"> 2696</span>  <span class="stringliteral">"Reference subtraction: input 0 and Input 1 types are mismatched"</span>);</div> +<div class="line"><a name="l02697"></a><span class="lineno"> 2697</span>  </div> +<div class="line"><a name="l02698"></a><span class="lineno"> 2698</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input0, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02699"></a><span class="lineno"> 2699</span>  <span class="stringliteral">"Reference subtraction: input and output types are mismatched"</span>);</div> +<div class="line"><a name="l02700"></a><span class="lineno"> 2700</span>  </div> +<div class="line"><a name="l02701"></a><span class="lineno"> 2701</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02702"></a><span class="lineno"> 2702</span>  <span class="stringliteral">"Reference subtraction: shapes are not suitable for implicit broadcast."</span>);</div> +<div class="line"><a name="l02703"></a><span class="lineno"> 2703</span>  </div> +<div class="line"><a name="l02704"></a><span class="lineno"> 2704</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02705"></a><span class="lineno"> 2705</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a27b8700a838b8018acb22cf38570b997"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a27b8700a838b8018acb22cf38570b997">◆ </a></span>IsTileSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsTileSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_tile_descriptor.html">TileDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02741">2741</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02745"></a><span class="lineno"> 2745</span> {</div> +<div class="line"><a name="l02746"></a><span class="lineno"> 2746</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02747"></a><span class="lineno"> 2747</span>  </div> +<div class="line"><a name="l02748"></a><span class="lineno"> 2748</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02749"></a><span class="lineno"> 2749</span>  </div> +<div class="line"><a name="l02750"></a><span class="lineno"> 2750</span>  std::array<DataType, 7> supportedTypes</div> +<div class="line"><a name="l02751"></a><span class="lineno"> 2751</span>  {</div> +<div class="line"><a name="l02752"></a><span class="lineno"> 2752</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02753"></a><span class="lineno"> 2753</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02754"></a><span class="lineno"> 2754</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02755"></a><span class="lineno"> 2755</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02756"></a><span class="lineno"> 2756</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l02757"></a><span class="lineno"> 2757</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l02758"></a><span class="lineno"> 2758</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l02759"></a><span class="lineno"> 2759</span>  };</div> +<div class="line"><a name="l02760"></a><span class="lineno"> 2760</span>  </div> +<div class="line"><a name="l02761"></a><span class="lineno"> 2761</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02762"></a><span class="lineno"> 2762</span>  <span class="stringliteral">"Tile: input type not supported."</span>);</div> +<div class="line"><a name="l02763"></a><span class="lineno"> 2763</span>  </div> +<div class="line"><a name="l02764"></a><span class="lineno"> 2764</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02765"></a><span class="lineno"> 2765</span>  <span class="stringliteral">"Tile: output type not supported"</span>);</div> +<div class="line"><a name="l02766"></a><span class="lineno"> 2766</span>  </div> +<div class="line"><a name="l02767"></a><span class="lineno"> 2767</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02768"></a><span class="lineno"> 2768</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a161bd30613088b5f2c8d4f5234ceacea"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a161bd30613088b5f2c8d4f5234ceacea">◆ </a></span>IsTransposeConvolution2dSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsTransposeConvolution2dSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>weights</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> > & </td> + <td class="paramname"><em>biases</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02770">2770</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02776"></a><span class="lineno"> 2776</span> {</div> +<div class="line"><a name="l02777"></a><span class="lineno"> 2777</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02778"></a><span class="lineno"> 2778</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02779"></a><span class="lineno"> 2779</span>  </div> +<div class="line"><a name="l02780"></a><span class="lineno"> 2780</span>  std::array<DataType,7> supportedTypes =</div> +<div class="line"><a name="l02781"></a><span class="lineno"> 2781</span>  {</div> +<div class="line"><a name="l02782"></a><span class="lineno"> 2782</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02783"></a><span class="lineno"> 2783</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02784"></a><span class="lineno"> 2784</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02785"></a><span class="lineno"> 2785</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02786"></a><span class="lineno"> 2786</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> +<div class="line"><a name="l02787"></a><span class="lineno"> 2787</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02788"></a><span class="lineno"> 2788</span>  };</div> +<div class="line"><a name="l02789"></a><span class="lineno"> 2789</span>  </div> +<div class="line"><a name="l02790"></a><span class="lineno"> 2790</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02791"></a><span class="lineno"> 2791</span>  <span class="stringliteral">"Reference TransposeConvolution2d: input is not a supported type."</span>);</div> +<div class="line"><a name="l02792"></a><span class="lineno"> 2792</span>  </div> +<div class="line"><a name="l02793"></a><span class="lineno"> 2793</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02794"></a><span class="lineno"> 2794</span>  <span class="stringliteral">"Reference TransposeConvolution2d: output is not a supported type."</span>);</div> +<div class="line"><a name="l02795"></a><span class="lineno"> 2795</span>  </div> +<div class="line"><a name="l02796"></a><span class="lineno"> 2796</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02797"></a><span class="lineno"> 2797</span>  <span class="stringliteral">"Reference TransposeConvolution2d: input and output types mismatched."</span>);</div> +<div class="line"><a name="l02798"></a><span class="lineno"> 2798</span>  </div> +<div class="line"><a name="l02799"></a><span class="lineno"> 2799</span>  </div> +<div class="line"><a name="l02800"></a><span class="lineno"> 2800</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> inputType = input.GetDataType();</div> +<div class="line"><a name="l02801"></a><span class="lineno"> 2801</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#ad91bc7bfe29186f5d78c28386c6c5309">IsQuantized8BitType</a>(inputType))</div> +<div class="line"><a name="l02802"></a><span class="lineno"> 2802</span>  {</div> +<div class="line"><a name="l02803"></a><span class="lineno"> 2803</span>  std::array<DataType, 3> supportedWeightTypes =</div> +<div class="line"><a name="l02804"></a><span class="lineno"> 2804</span>  {</div> +<div class="line"><a name="l02805"></a><span class="lineno"> 2805</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02806"></a><span class="lineno"> 2806</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02807"></a><span class="lineno"> 2807</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a></div> +<div class="line"><a name="l02808"></a><span class="lineno"> 2808</span>  };</div> +<div class="line"><a name="l02809"></a><span class="lineno"> 2809</span>  </div> +<div class="line"><a name="l02810"></a><span class="lineno"> 2810</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02811"></a><span class="lineno"> 2811</span>  <span class="stringliteral">"Reference TransposeConvolution2d: weights type not supported for "</span></div> +<div class="line"><a name="l02812"></a><span class="lineno"> 2812</span>  <span class="stringliteral">"quantized input."</span>);</div> +<div class="line"><a name="l02813"></a><span class="lineno"> 2813</span>  }</div> +<div class="line"><a name="l02814"></a><span class="lineno"> 2814</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l02815"></a><span class="lineno"> 2815</span>  {</div> +<div class="line"><a name="l02816"></a><span class="lineno"> 2816</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02817"></a><span class="lineno"> 2817</span>  <span class="stringliteral">"Reference TransposeConvolution2d: weights is not a supported type."</span>);</div> +<div class="line"><a name="l02818"></a><span class="lineno"> 2818</span>  </div> +<div class="line"><a name="l02819"></a><span class="lineno"> 2819</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, weights), reasonIfUnsupported,</div> +<div class="line"><a name="l02820"></a><span class="lineno"> 2820</span>  <span class="stringliteral">"Reference TransposeConvolution2d: input and weights types mismatched."</span>);</div> +<div class="line"><a name="l02821"></a><span class="lineno"> 2821</span>  }</div> +<div class="line"><a name="l02822"></a><span class="lineno"> 2822</span>  </div> +<div class="line"><a name="l02823"></a><span class="lineno"> 2823</span>  <span class="keywordflow">if</span> (biases.has_value())</div> +<div class="line"><a name="l02824"></a><span class="lineno"> 2824</span>  {</div> +<div class="line"><a name="l02825"></a><span class="lineno"> 2825</span>  std::array<DataType,4> biasesSupportedTypes =</div> +<div class="line"><a name="l02826"></a><span class="lineno"> 2826</span>  {</div> +<div class="line"><a name="l02827"></a><span class="lineno"> 2827</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02828"></a><span class="lineno"> 2828</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02829"></a><span class="lineno"> 2829</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l02830"></a><span class="lineno"> 2830</span>  };</div> +<div class="line"><a name="l02831"></a><span class="lineno"> 2831</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02832"></a><span class="lineno"> 2832</span>  <span class="stringliteral">"Reference TransposeConvolution2d: biases is not a supported type."</span>);</div> +<div class="line"><a name="l02833"></a><span class="lineno"> 2833</span>  }</div> +<div class="line"><a name="l02834"></a><span class="lineno"> 2834</span>  </div> +<div class="line"><a name="l02835"></a><span class="lineno"> 2835</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02836"></a><span class="lineno"> 2836</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00198">TensorInfo::GetDataType()</a>, <a class="el" href="_optional_8hpp_source.html#l00053">OptionalBase::has_value()</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_types_utils_8hpp_source.html#l00316">armnn::IsQuantized8BitType()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="_optional_8hpp_source.html#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="a1a431d200c1ab85913cac36539d9ca3b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1a431d200c1ab85913cac36539d9ca3b">◆ </a></span>IsTransposeSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsTransposeSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_transpose_descriptor.html">TransposeDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02838">2838</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02842"></a><span class="lineno"> 2842</span> {</div> +<div class="line"><a name="l02843"></a><span class="lineno"> 2843</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02844"></a><span class="lineno"> 2844</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02845"></a><span class="lineno"> 2845</span>  </div> +<div class="line"><a name="l02846"></a><span class="lineno"> 2846</span>  <span class="comment">// Define supported output and inputs types.</span></div> +<div class="line"><a name="l02847"></a><span class="lineno"> 2847</span>  std::array<DataType, 6> supportedTypes =</div> +<div class="line"><a name="l02848"></a><span class="lineno"> 2848</span>  {</div> +<div class="line"><a name="l02849"></a><span class="lineno"> 2849</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> +<div class="line"><a name="l02850"></a><span class="lineno"> 2850</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02851"></a><span class="lineno"> 2851</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l02852"></a><span class="lineno"> 2852</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02853"></a><span class="lineno"> 2853</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l02854"></a><span class="lineno"> 2854</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l02855"></a><span class="lineno"> 2855</span>  };</div> +<div class="line"><a name="l02856"></a><span class="lineno"> 2856</span>  </div> +<div class="line"><a name="l02857"></a><span class="lineno"> 2857</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02858"></a><span class="lineno"> 2858</span>  <span class="stringliteral">"Reference transpose: input is not a supported type."</span>);</div> +<div class="line"><a name="l02859"></a><span class="lineno"> 2859</span>  </div> +<div class="line"><a name="l02860"></a><span class="lineno"> 2860</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02861"></a><span class="lineno"> 2861</span>  <span class="stringliteral">"Reference transpose: output is not a supported type."</span>);</div> +<div class="line"><a name="l02862"></a><span class="lineno"> 2862</span>  </div> +<div class="line"><a name="l02863"></a><span class="lineno"> 2863</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, output), reasonIfUnsupported,</div> +<div class="line"><a name="l02864"></a><span class="lineno"> 2864</span>  <span class="stringliteral">"Reference transpose: input and output types are mismatched."</span>);</div> +<div class="line"><a name="l02865"></a><span class="lineno"> 2865</span>  </div> +<div class="line"><a name="l02866"></a><span class="lineno"> 2866</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l02867"></a><span class="lineno"> 2867</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<a id="aa81040706a8b0b9ef1cb18c68e7dcdf4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa81040706a8b0b9ef1cb18c68e7dcdf4">◆ </a></span>IsUnidirectionalSequenceLstmSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsUnidirectionalSequenceLstmSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>outputStateIn</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>cellStateIn</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>outputStateOut</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>cellStateOut</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.html#ae6c5f1b51bd32133c4dcc632045d6b58">UnidirectionalSequenceLstmDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> & </td> + <td class="paramname"><em>paramsInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.html#l02869">2869</a> of file <a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02879"></a><span class="lineno"> 2879</span> {</div> +<div class="line"><a name="l02880"></a><span class="lineno"> 2880</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div> +<div class="line"><a name="l02881"></a><span class="lineno"> 2881</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(paramsInfo);</div> +<div class="line"><a name="l02882"></a><span class="lineno"> 2882</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(outputStateIn);</div> +<div class="line"><a name="l02883"></a><span class="lineno"> 2883</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(cellStateIn);</div> +<div class="line"><a name="l02884"></a><span class="lineno"> 2884</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(outputStateOut);</div> +<div class="line"><a name="l02885"></a><span class="lineno"> 2885</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(cellStateOut);</div> +<div class="line"><a name="l02886"></a><span class="lineno"> 2886</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div> +<div class="line"><a name="l02887"></a><span class="lineno"> 2887</span>  </div> +<div class="line"><a name="l02888"></a><span class="lineno"> 2888</span>  std::array<DataType, 2> supportedTypes =</div> +<div class="line"><a name="l02889"></a><span class="lineno"> 2889</span>  {</div> +<div class="line"><a name="l02890"></a><span class="lineno"> 2890</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02891"></a><span class="lineno"> 2891</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a></div> +<div class="line"><a name="l02892"></a><span class="lineno"> 2892</span>  };</div> +<div class="line"><a name="l02893"></a><span class="lineno"> 2893</span>  </div> +<div class="line"><a name="l02894"></a><span class="lineno"> 2894</span>  std::array<DataType, 2> supportedWeightTypes =</div> +<div class="line"><a name="l02895"></a><span class="lineno"> 2895</span>  {</div> +<div class="line"><a name="l02896"></a><span class="lineno"> 2896</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02897"></a><span class="lineno"> 2897</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a></div> +<div class="line"><a name="l02898"></a><span class="lineno"> 2898</span>  };</div> +<div class="line"><a name="l02899"></a><span class="lineno"> 2899</span>  </div> +<div class="line"><a name="l02900"></a><span class="lineno"> 2900</span>  std::array<DataType, 3> supportedBiasTypes =</div> +<div class="line"><a name="l02901"></a><span class="lineno"> 2901</span>  {</div> +<div class="line"><a name="l02902"></a><span class="lineno"> 2902</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l02903"></a><span class="lineno"> 2903</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l02904"></a><span class="lineno"> 2904</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> +<div class="line"><a name="l02905"></a><span class="lineno"> 2905</span>  };</div> +<div class="line"><a name="l02906"></a><span class="lineno"> 2906</span>  </div> +<div class="line"><a name="l02907"></a><span class="lineno"> 2907</span>  <span class="comment">// check inputs and outputs</span></div> +<div class="line"><a name="l02908"></a><span class="lineno"> 2908</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02909"></a><span class="lineno"> 2909</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: input is not a supported type."</span>);</div> +<div class="line"><a name="l02910"></a><span class="lineno"> 2910</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02911"></a><span class="lineno"> 2911</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: output is not a supported type."</span>);</div> +<div class="line"><a name="l02912"></a><span class="lineno"> 2912</span>  </div> +<div class="line"><a name="l02913"></a><span class="lineno"> 2913</span>  <span class="comment">// check layer parameters</span></div> +<div class="line"><a name="l02914"></a><span class="lineno"> 2914</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetInputToForgetWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l02915"></a><span class="lineno"> 2915</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l02916"></a><span class="lineno"> 2916</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: InputToForgetWeights "</span></div> +<div class="line"><a name="l02917"></a><span class="lineno"> 2917</span>  <span class="stringliteral">"is not a supported type."</span>);</div> +<div class="line"><a name="l02918"></a><span class="lineno"> 2918</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetInputToCellWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l02919"></a><span class="lineno"> 2919</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l02920"></a><span class="lineno"> 2920</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: InputToCellWeights is not a supported type."</span>);</div> +<div class="line"><a name="l02921"></a><span class="lineno"> 2921</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetInputToOutputWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l02922"></a><span class="lineno"> 2922</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l02923"></a><span class="lineno"> 2923</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: InputToOutputWeights "</span></div> +<div class="line"><a name="l02924"></a><span class="lineno"> 2924</span>  <span class="stringliteral">"is not a supported type."</span>);</div> +<div class="line"><a name="l02925"></a><span class="lineno"> 2925</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetRecurrentToForgetWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l02926"></a><span class="lineno"> 2926</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l02927"></a><span class="lineno"> 2927</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: RecurrentToForgetWeights "</span></div> +<div class="line"><a name="l02928"></a><span class="lineno"> 2928</span>  <span class="stringliteral">"is not a supported type."</span>);</div> +<div class="line"><a name="l02929"></a><span class="lineno"> 2929</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetRecurrentToCellWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l02930"></a><span class="lineno"> 2930</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l02931"></a><span class="lineno"> 2931</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: RecurrentToCellWeights "</span></div> +<div class="line"><a name="l02932"></a><span class="lineno"> 2932</span>  <span class="stringliteral">"is not a supported type."</span>);</div> +<div class="line"><a name="l02933"></a><span class="lineno"> 2933</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetRecurrentToOutputWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l02934"></a><span class="lineno"> 2934</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l02935"></a><span class="lineno"> 2935</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: RecurrentToOutputWeights "</span></div> +<div class="line"><a name="l02936"></a><span class="lineno"> 2936</span>  <span class="stringliteral">"is not a supported type."</span>);</div> +<div class="line"><a name="l02937"></a><span class="lineno"> 2937</span>  </div> +<div class="line"><a name="l02938"></a><span class="lineno"> 2938</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetForgetGateBias(), supportedBiasTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02939"></a><span class="lineno"> 2939</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: ForgetGateBias is not a supported type."</span>);</div> +<div class="line"><a name="l02940"></a><span class="lineno"> 2940</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetCellBias(), supportedBiasTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02941"></a><span class="lineno"> 2941</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: CellBias is not a supported type."</span>);</div> +<div class="line"><a name="l02942"></a><span class="lineno"> 2942</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetOutputGateBias(), supportedBiasTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02943"></a><span class="lineno"> 2943</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: OutputGateBias is not a supported type."</span>);</div> +<div class="line"><a name="l02944"></a><span class="lineno"> 2944</span>  <span class="keywordflow">if</span> (!descriptor.m_CifgEnabled)</div> +<div class="line"><a name="l02945"></a><span class="lineno"> 2945</span>  {</div> +<div class="line"><a name="l02946"></a><span class="lineno"> 2946</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetInputToInputWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l02947"></a><span class="lineno"> 2947</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l02948"></a><span class="lineno"> 2948</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: InputToInputWeights "</span></div> +<div class="line"><a name="l02949"></a><span class="lineno"> 2949</span>  <span class="stringliteral">"is not a supported type."</span>);</div> +<div class="line"><a name="l02950"></a><span class="lineno"> 2950</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetRecurrentToInputWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l02951"></a><span class="lineno"> 2951</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l02952"></a><span class="lineno"> 2952</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: RecurrentToInputWeights "</span></div> +<div class="line"><a name="l02953"></a><span class="lineno"> 2953</span>  <span class="stringliteral">"is not a supported type."</span>);</div> +<div class="line"><a name="l02954"></a><span class="lineno"> 2954</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetInputGateBias(), supportedBiasTypes), reasonIfUnsupported,</div> +<div class="line"><a name="l02955"></a><span class="lineno"> 2955</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: InputGateBias is not a supported type."</span>);</div> +<div class="line"><a name="l02956"></a><span class="lineno"> 2956</span>  <span class="keywordflow">if</span> (descriptor.m_PeepholeEnabled)</div> +<div class="line"><a name="l02957"></a><span class="lineno"> 2957</span>  {</div> +<div class="line"><a name="l02958"></a><span class="lineno"> 2958</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetCellToInputWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l02959"></a><span class="lineno"> 2959</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l02960"></a><span class="lineno"> 2960</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: CellToInputWeights "</span></div> +<div class="line"><a name="l02961"></a><span class="lineno"> 2961</span>  <span class="stringliteral">"is not a supported type."</span>);</div> +<div class="line"><a name="l02962"></a><span class="lineno"> 2962</span>  }</div> +<div class="line"><a name="l02963"></a><span class="lineno"> 2963</span>  }</div> +<div class="line"><a name="l02964"></a><span class="lineno"> 2964</span>  <span class="keywordflow">if</span> (descriptor.m_PeepholeEnabled)</div> +<div class="line"><a name="l02965"></a><span class="lineno"> 2965</span>  {</div> +<div class="line"><a name="l02966"></a><span class="lineno"> 2966</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetCellToForgetWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l02967"></a><span class="lineno"> 2967</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l02968"></a><span class="lineno"> 2968</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: CellToForgetWeights "</span></div> +<div class="line"><a name="l02969"></a><span class="lineno"> 2969</span>  <span class="stringliteral">"is not a supported type."</span>);</div> +<div class="line"><a name="l02970"></a><span class="lineno"> 2970</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetCellToOutputWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l02971"></a><span class="lineno"> 2971</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l02972"></a><span class="lineno"> 2972</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: CellToOutputWeights "</span></div> +<div class="line"><a name="l02973"></a><span class="lineno"> 2973</span>  <span class="stringliteral">"is not a supported type."</span>);</div> +<div class="line"><a name="l02974"></a><span class="lineno"> 2974</span>  }</div> +<div class="line"><a name="l02975"></a><span class="lineno"> 2975</span>  <span class="keywordflow">if</span> (descriptor.m_ProjectionEnabled)</div> +<div class="line"><a name="l02976"></a><span class="lineno"> 2976</span>  {</div> +<div class="line"><a name="l02977"></a><span class="lineno"> 2977</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetProjectionWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l02978"></a><span class="lineno"> 2978</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l02979"></a><span class="lineno"> 2979</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: ProjectionWeights "</span></div> +<div class="line"><a name="l02980"></a><span class="lineno"> 2980</span>  <span class="stringliteral">"is not a supported type."</span>);</div> +<div class="line"><a name="l02981"></a><span class="lineno"> 2981</span>  <span class="keywordflow">if</span> (paramsInfo.m_ProjectionBias != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l02982"></a><span class="lineno"> 2982</span>  {</div> +<div class="line"><a name="l02983"></a><span class="lineno"> 2983</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypesAreEqual(input, paramsInfo.GetProjectionBias()), reasonIfUnsupported,</div> +<div class="line"><a name="l02984"></a><span class="lineno"> 2984</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: input and ProjectionBias types "</span></div> +<div class="line"><a name="l02985"></a><span class="lineno"> 2985</span>  <span class="stringliteral">"are mismatched"</span>);</div> +<div class="line"><a name="l02986"></a><span class="lineno"> 2986</span>  }</div> +<div class="line"><a name="l02987"></a><span class="lineno"> 2987</span>  }</div> +<div class="line"><a name="l02988"></a><span class="lineno"> 2988</span>  <span class="keywordflow">if</span> (descriptor.m_LayerNormEnabled)</div> +<div class="line"><a name="l02989"></a><span class="lineno"> 2989</span>  {</div> +<div class="line"><a name="l02990"></a><span class="lineno"> 2990</span>  <span class="keywordflow">if</span> (!descriptor.m_CifgEnabled)</div> +<div class="line"><a name="l02991"></a><span class="lineno"> 2991</span>  {</div> +<div class="line"><a name="l02992"></a><span class="lineno"> 2992</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetInputLayerNormWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l02993"></a><span class="lineno"> 2993</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l02994"></a><span class="lineno"> 2994</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: InputLayerNormWeights "</span></div> +<div class="line"><a name="l02995"></a><span class="lineno"> 2995</span>  <span class="stringliteral">"is not a supported type."</span>);</div> +<div class="line"><a name="l02996"></a><span class="lineno"> 2996</span>  }</div> +<div class="line"><a name="l02997"></a><span class="lineno"> 2997</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetForgetLayerNormWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l02998"></a><span class="lineno"> 2998</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l02999"></a><span class="lineno"> 2999</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: ForgetLayerNormWeights "</span></div> +<div class="line"><a name="l03000"></a><span class="lineno"> 3000</span>  <span class="stringliteral">"is not a supported type."</span>);</div> +<div class="line"><a name="l03001"></a><span class="lineno"> 3001</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetCellLayerNormWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l03002"></a><span class="lineno"> 3002</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l03003"></a><span class="lineno"> 3003</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: CellLayerNormWeights "</span></div> +<div class="line"><a name="l03004"></a><span class="lineno"> 3004</span>  <span class="stringliteral">"is not a supported type."</span>);</div> +<div class="line"><a name="l03005"></a><span class="lineno"> 3005</span>  supported &= <a class="code" href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">CheckSupportRule</a>(TypeAnyOf(paramsInfo.GetOutputLayerNormWeights(), supportedWeightTypes),</div> +<div class="line"><a name="l03006"></a><span class="lineno"> 3006</span>  reasonIfUnsupported,</div> +<div class="line"><a name="l03007"></a><span class="lineno"> 3007</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: OutputLayerNormWeights "</span></div> +<div class="line"><a name="l03008"></a><span class="lineno"> 3008</span>  <span class="stringliteral">"is not a supported type."</span>);</div> +<div class="line"><a name="l03009"></a><span class="lineno"> 3009</span>  }</div> +<div class="line"><a name="l03010"></a><span class="lineno"> 3010</span>  </div> +<div class="line"><a name="l03011"></a><span class="lineno"> 3011</span>  <span class="keywordflow">return</span> supported;</div> +<div class="line"><a name="l03012"></a><span class="lineno"> 3012</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.html#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00173">LstmInputParamsInfo::GetCellBias()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00197">LstmInputParamsInfo::GetCellLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00157">LstmInputParamsInfo::GetCellToForgetWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00153">LstmInputParamsInfo::GetCellToInputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00161">LstmInputParamsInfo::GetCellToOutputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00169">LstmInputParamsInfo::GetForgetGateBias()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00193">LstmInputParamsInfo::GetForgetLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00165">LstmInputParamsInfo::GetInputGateBias()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00189">LstmInputParamsInfo::GetInputLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00129">LstmInputParamsInfo::GetInputToCellWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00125">LstmInputParamsInfo::GetInputToForgetWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00121">LstmInputParamsInfo::GetInputToInputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00133">LstmInputParamsInfo::GetInputToOutputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00177">LstmInputParamsInfo::GetOutputGateBias()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00201">LstmInputParamsInfo::GetOutputLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00185">LstmInputParamsInfo::GetProjectionBias()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00181">LstmInputParamsInfo::GetProjectionWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00145">LstmInputParamsInfo::GetRecurrentToCellWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00141">LstmInputParamsInfo::GetRecurrentToForgetWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00137">LstmInputParamsInfo::GetRecurrentToInputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00149">LstmInputParamsInfo::GetRecurrentToOutputWeights()</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_descriptors_8hpp_source.html#l01146">LstmDescriptor::m_CifgEnabled</a>, <a class="el" href="_descriptors_8hpp_source.html#l01152">LstmDescriptor::m_LayerNormEnabled</a>, <a class="el" href="_descriptors_8hpp_source.html#l01148">LstmDescriptor::m_PeepholeEnabled</a>, <a class="el" href="_lstm_params_8hpp_source.html#l00105">LstmInputParamsInfo::m_ProjectionBias</a>, <a class="el" href="_descriptors_8hpp_source.html#l01150">LstmDescriptor::m_ProjectionEnabled</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.html#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> + +</div> +</div> +<hr/>The documentation for this class was generated from the following files:<ul> +<li>src/backends/reference/<a class="el" href="_ref_layer_support_8hpp_source.html">RefLayerSupport.hpp</a></li> +<li>src/backends/reference/<a class="el" href="_ref_layer_support_8cpp_source.html">RefLayerSupport.cpp</a></li> +</ul> +</div><!-- contents --> +</div><!-- doc-content --> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_ad5adeb0c9d1cf403d5cd2eadf4585155"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#ad5adeb0c9d1cf403d5cd2eadf4585155">armnn::RefLayerSupport::IsLstmSupported</a></div><div class="ttdeci">bool IsLstmSupported(const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &scratchBuffer, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const LstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01777">RefLayerSupport.cpp:1777</a></div></div> +<div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::LayerType::SpaceToDepth</a></div><div class="ttdeci">@ SpaceToDepth</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a8e778f7b99b33e242145ff2319ae585c"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a8e778f7b99b33e242145ff2319ae585c">armnn::RefLayerSupport::IsDepthwiseConvolutionSupported</a></div><div class="ttdeci">bool IsDepthwiseConvolutionSupported(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01226">RefLayerSupport.cpp:1226</a></div></div> +<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div><div class="ttdeci">@ Boolean</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div><div class="ttdeci">@ Permute</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a677818beaa9f767c7fb0442fb9db2881"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a677818beaa9f767c7fb0442fb9db2881">armnn::RefLayerSupport::IsPooling3dSupported</a></div><div class="ttdeci">bool IsPooling3dSupported(const TensorInfo &input, const TensorInfo &output, const Pooling3dDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02219">RefLayerSupport.cpp:2219</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::LayerType::Splitter</a></div><div class="ttdeci">@ Splitter</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a138eb039ccebe50bd56b7a0244b0754e"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a138eb039ccebe50bd56b7a0244b0754e">armnn::RefLayerSupport::IsReverseV2Supported</a></div><div class="ttdeci">bool IsReverseV2Supported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02406">RefLayerSupport.cpp:2406</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div><div class="ttdeci">@ BatchNormalization</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a07cd270641b5876471c8ba9e77bc3abe"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a07cd270641b5876471c8ba9e77bc3abe">armnn::RefLayerSupport::IsQLstmSupported</a></div><div class="ttdeci">bool IsQLstmSupported(const TensorInfo &input, const TensorInfo &previousOutputIn, const TensorInfo &previousCellStateIn, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const QLstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02250">RefLayerSupport.cpp:2250</a></div></div> +<div class="ttc" id="anamespacearmnn_html_ad91bc7bfe29186f5d78c28386c6c5309"><div class="ttname"><a href="namespacearmnn.html#ad91bc7bfe29186f5d78c28386c6c5309">armnn::IsQuantized8BitType</a></div><div class="ttdeci">constexpr bool IsQuantized8BitType(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00316">TypesUtils.hpp:316</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::ActivationFunction::LeakyReLu</a></div><div class="ttdeci">@ LeakyReLu</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a27b8700a838b8018acb22cf38570b997"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a27b8700a838b8018acb22cf38570b997">armnn::RefLayerSupport::IsTileSupported</a></div><div class="ttdeci">bool IsTileSupported(const TensorInfo &input, const TensorInfo &output, const TileDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02741">RefLayerSupport.cpp:2741</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a0e7afe178736bc0844695e051d12be51"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a0e7afe178736bc0844695e051d12be51">armnn::RefLayerSupport::IsConvolution2dSupported</a></div><div class="ttdeci">bool IsConvolution2dSupported(const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01030">RefLayerSupport.cpp:1030</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_aca92095e6a26d7f451042795afabea5b"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#aca92095e6a26d7f451042795afabea5b">armnn::RefLayerSupport::IsFloorSupported</a></div><div class="ttdeci">bool IsFloorSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01503">RefLayerSupport.cpp:1503</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a25adbaea31c52a55a1fa3afa7546be02"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a25adbaea31c52a55a1fa3afa7546be02">armnn::RefLayerSupport::IsDequantizeSupported</a></div><div class="ttdeci">bool IsDequantizeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01295">RefLayerSupport.cpp:1295</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">armnn::ActivationFunction::SoftReLu</a></div><div class="ttdeci">@ SoftReLu</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a5e11a11243484e16c20247e3e0d4f890"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a5e11a11243484e16c20247e3e0d4f890">armnn::RefLayerSupport::IsPooling2dSupported</a></div><div class="ttdeci">bool IsPooling2dSupported(const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02189">RefLayerSupport.cpp:2189</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_accd2fb6b7713141313cfc310ea460a28"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#accd2fb6b7713141313cfc310ea460a28">armnn::RefLayerSupport::IsDetectionPostProcessSupported</a></div><div class="ttdeci">bool IsDetectionPostProcessSupported(const TensorInfo &boxEncodings, const TensorInfo &scores, const TensorInfo &anchors, const TensorInfo &detectionBoxes, const TensorInfo &detectionClasses, const TensorInfo &detectionScores, const TensorInfo &numDetections, const DetectionPostProcessDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01330">RefLayerSupport.cpp:1330</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::LayerType::InstanceNormalization</a></div><div class="ttdeci">@ InstanceNormalization</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::LayerType::ConvertFp16ToFp32</a></div><div class="ttdeci">@ ConvertFp16ToFp32</div></div> +<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a></div><div class="ttdeci">@ Sqrt</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">armnn::LayerType::Floor</a></div><div class="ttdeci">@ Floor</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_afaadd7f7db4d8827890b4cedaf3bac8e"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#afaadd7f7db4d8827890b4cedaf3bac8e">armnn::RefLayerSupport::IsAdditionSupported</a></div><div class="ttdeci">bool IsAdditionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l00621">RefLayerSupport.cpp:621</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a9546ae76bc4ba8a05f1c441be22ae546"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a9546ae76bc4ba8a05f1c441be22ae546">armnn::RefLayerSupport::IsInputSupported</a></div><div class="ttdeci">bool IsInputSupported(const TensorInfo &input, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01655">RefLayerSupport.cpp:1655</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::LayerType::Transpose</a></div><div class="ttdeci">@ Transpose</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::LayerType::Comparison</a></div><div class="ttdeci">@ Comparison</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a007299b48d001bbdaefe525566b21c8e"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a007299b48d001bbdaefe525566b21c8e">armnn::RefLayerSupport::IsMeanSupported</a></div><div class="ttdeci">bool IsMeanSupported(const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01925">RefLayerSupport.cpp:1925</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a161bd30613088b5f2c8d4f5234ceacea"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a161bd30613088b5f2c8d4f5234ceacea">armnn::RefLayerSupport::IsTransposeConvolution2dSupported</a></div><div class="ttdeci">bool IsTransposeConvolution2dSupported(const TensorInfo &input, const TensorInfo &output, const TransposeConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02770">RefLayerSupport.cpp:2770</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::LayerType::StridedSlice</a></div><div class="ttdeci">@ StridedSlice</div></div> +<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div> +<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a></div><div class="ttdeci">@ TanH</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152">armnn::LayerType::Tile</a></div><div class="ttdeci">@ Tile</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a683bb260b89ee0c0b9c409f3c4956acb"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a683bb260b89ee0c0b9c409f3c4956acb">armnn::RefLayerSupport::IsRankSupported</a></div><div class="ttdeci">bool IsRankSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02309">RefLayerSupport.cpp:2309</a></div></div> +<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div><div class="ttdeci">@ QAsymmU8</div></div> +<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdeci">@ BoundedReLu</div><div class="ttdoc">min(a, max(b, input)) ReLu1 & ReLu6.</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::LayerType::Stack</a></div><div class="ttdeci">@ Stack</div></div> +<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div><div class="ttdeci">@ QSymmS8</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::LayerType::Normalization</a></div><div class="ttdeci">@ Normalization</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="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::LayerType::Reduce</a></div><div class="ttdeci">@ Reduce</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a9b9c3c80d296907362f8b407b6a20727"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a9b9c3c80d296907362f8b407b6a20727">armnn::RefLayerSupport::IsSplitterSupported</a></div><div class="ttdeci">bool IsSplitterSupported(const TensorInfo &input, const std::vector< std::reference_wrapper< TensorInfo >> &outputs, const ViewsDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02579">RefLayerSupport.cpp:2579</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a57927a58bc6bb87455b51a2786fe1b3b"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a57927a58bc6bb87455b51a2786fe1b3b">armnn::RefLayerSupport::IsConvolution3dSupported</a></div><div class="ttdeci">bool IsConvolution3dSupported(const TensorInfo &input, const TensorInfo &output, const Convolution3dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01099">RefLayerSupport.cpp:1099</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::LayerType::ElementwiseUnary</a></div><div class="ttdeci">@ ElementwiseUnary</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a22cfc1d5f68bd32db0aa126e8fd9e615"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a22cfc1d5f68bd32db0aa126e8fd9e615">armnn::RefLayerSupport::IsBatchMatMulSupported</a></div><div class="ttdeci">bool IsBatchMatMulSupported(const TensorInfo &inputX, const TensorInfo &inputY, const TensorInfo &output, const BatchMatMulDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l00690">RefLayerSupport.cpp:690</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::ActivationFunction::HardSwish</a></div><div class="ttdeci">@ HardSwish</div></div> +<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div><div class="ttdeci">@ QSymmS16</div></div> +<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaaf48cca1c6deaa6a1c34e4ee46954cf0b"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaf48cca1c6deaa6a1c34e4ee46954cf0b">armnn::ActivationFunction::Gelu</a></div><div class="ttdeci">@ Gelu</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a6e14b055cf3d72d4de0cc9f68616925c"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a6e14b055cf3d72d4de0cc9f68616925c">armnn::RefLayerSupport::IsSubtractionSupported</a></div><div class="ttdeci">bool IsSubtractionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02670">RefLayerSupport.cpp:2670</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">armnn::LayerType::GatherNd</a></div><div class="ttdeci">@ GatherNd</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::LayerType::ElementwiseBinary</a></div><div class="ttdeci">@ ElementwiseBinary</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a7c739d08cf4fe3f9adef635be0544362"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a7c739d08cf4fe3f9adef635be0544362">armnn::RefLayerSupport::IsQuantizeSupported</a></div><div class="ttdeci">bool IsQuantizeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02274">RefLayerSupport.cpp:2274</a></div></div> +<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div><div class="ttdeci">@ BFloat16</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a36da5a4ac8ecbf58821989af2c289e59"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a36da5a4ac8ecbf58821989af2c289e59">armnn::RefLayerSupport::IsArgMinMaxSupported</a></div><div class="ttdeci">bool IsArgMinMaxSupported(const TensorInfo &input, const TensorInfo &output, const ArgMinMaxDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l00658">RefLayerSupport.cpp:658</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::LayerType::ConvertFp32ToFp16</a></div><div class="ttdeci">@ ConvertFp32ToFp16</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a5d06aa3102f630eeff127195693810e8"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a5d06aa3102f630eeff127195693810e8">armnn::RefLayerSupport::IsPermuteSupported</a></div><div class="ttdeci">bool IsPermuteSupported(const TensorInfo &input, const TensorInfo &output, const PermuteDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02158">RefLayerSupport.cpp:2158</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a17176599a09cab046bf452ea99b7db37"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a17176599a09cab046bf452ea99b7db37">armnn::RefLayerSupport::IsComparisonSupported</a></div><div class="ttdeci">bool IsComparisonSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ComparisonDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l00908">RefLayerSupport.cpp:908</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_aefe6105143396c8fd46f29266c63d948"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#aefe6105143396c8fd46f29266c63d948">armnn::RefLayerSupport::IsBatchNormalizationSupported</a></div><div class="ttdeci">bool IsBatchNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l00735">RefLayerSupport.cpp:735</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::LayerType::Slice</a></div><div class="ttdeci">@ Slice</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_abd0c6ea3807227b94374ff321a47284d"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#abd0c6ea3807227b94374ff321a47284d">armnn::RefLayerSupport::IsSpaceToDepthSupported</a></div><div class="ttdeci">bool IsSpaceToDepthSupported(const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02549">RefLayerSupport.cpp:2549</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a963c34790fb5214b51b16b69d36fe3c8"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a963c34790fb5214b51b16b69d36fe3c8">armnn::RefLayerSupport::IsActivationSupported</a></div><div class="ttdeci">bool IsActivationSupported(const TensorInfo &input, const TensorInfo &output, const ActivationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l00553">RefLayerSupport.cpp:553</a></div></div> +<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div><div class="ttdeci">@ Float16</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a603040030365f52a95c50f51fb53f927"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a603040030365f52a95c50f51fb53f927">armnn::RefLayerSupport::IsFakeQuantizationSupported</a></div><div class="ttdeci">bool IsFakeQuantizationSupported(const TensorInfo &input, const FakeQuantizationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01460">RefLayerSupport.cpp:1460</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">armnn::LayerType::ChannelShuffle</a></div><div class="ttdeci">@ ChannelShuffle</div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_support_base_html_aad6eabce66fdae7c3389450e9dc75df9"><div class="ttname"><a href="classarmnn_1_1_layer_support_base.html#aad6eabce66fdae7c3389450e9dc75df9">armnn::LayerSupportBase::IsQuantizedLstmSupported</a></div><div class="ttdeci">bool IsQuantizedLstmSupported(const TensorInfo &input, const TensorInfo &previousCellStateIn, const TensorInfo &previousOutputIn, const TensorInfo &cellStateOut, const TensorInfo &output, const QuantizedLstmInputParamsInfo &paramsInfo, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_base_8cpp_source.html#l00120">LayerSupportBase.cpp:120</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a734a989302f92b63d717f2ac395c3eb9"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a734a989302f92b63d717f2ac395c3eb9">armnn::RefLayerSupport::IsElementwiseUnarySupported</a></div><div class="ttdeci">bool IsElementwiseUnarySupported(const TensorInfo &input, const TensorInfo &output, const ElementwiseUnaryDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01409">RefLayerSupport.cpp:1409</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_ab56e4c49e3cbd6b486b4a9e6b89e6e0c"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#ab56e4c49e3cbd6b486b4a9e6b89e6e0c">armnn::RefLayerSupport::IsConcatSupported</a></div><div class="ttdeci">bool IsConcatSupported(const std::vector< const TensorInfo * > inputs, const TensorInfo &output, const OriginsDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l00939">RefLayerSupport.cpp:939</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">armnn::UnaryOperation::LogicalNot</a></div><div class="ttdeci">@ LogicalNot</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_aa253f9963038f4d68877caf6a9a091b4"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#aa253f9963038f4d68877caf6a9a091b4">armnn::RefLayerSupport::IsReduceSupported</a></div><div class="ttdeci">bool IsReduceSupported(const TensorInfo &input, const TensorInfo &output, const ReduceDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02324">RefLayerSupport.cpp:2324</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div><div class="ttdeci">@ Subtraction</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::LayerType::Prelu</a></div><div class="ttdeci">@ Prelu</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">armnn::LayerType::LogicalBinary</a></div><div class="ttdeci">@ LogicalBinary</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::LayerType::Concat</a></div><div class="ttdeci">@ Concat</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a85e08ffdec56499a2f78859229b51aa4"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a85e08ffdec56499a2f78859229b51aa4">armnn::RefLayerSupport::IsResizeSupported</a></div><div class="ttdeci">bool IsResizeSupported(const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02377">RefLayerSupport.cpp:2377</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a7ed10202fff7c54f2d5b27c3ecd21567"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a7ed10202fff7c54f2d5b27c3ecd21567">armnn::RefLayerSupport::IsDepthToSpaceSupported</a></div><div class="ttdeci">bool IsDepthToSpaceSupported(const TensorInfo &input, const TensorInfo &output, const DepthToSpaceDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01197">RefLayerSupport.cpp:1197</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::LayerType::TransposeConvolution2d</a></div><div class="ttdeci">@ TransposeConvolution2d</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::LayerType::Merge</a></div><div class="ttdeci">@ Merge</div></div> +<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">armnn::LayerType::Debug</a></div><div class="ttdeci">@ Debug</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div><div class="ttdeci">@ Softmax</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_ae8523c4d9b6c18744d46a98d4984a011"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#ae8523c4d9b6c18744d46a98d4984a011">armnn::RefLayerSupport::IsBatchToSpaceNdSupported</a></div><div class="ttdeci">bool IsBatchToSpaceNdSupported(const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l00781">RefLayerSupport.cpp:781</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_aa231780ff80202fedeb2998a787073b8"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#aa231780ff80202fedeb2998a787073b8">armnn::RefLayerSupport::IsBroadcastToSupported</a></div><div class="ttdeci">bool IsBroadcastToSupported(const TensorInfo &input, const TensorInfo &output, const BroadcastToDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l00816">RefLayerSupport.cpp:816</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::ActivationFunction::Elu</a></div><div class="ttdeci">@ Elu</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_aeef91cdb55b6cd1cbda03f42553fb861"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#aeef91cdb55b6cd1cbda03f42553fb861">armnn::RefLayerSupport::IsSpaceToBatchNdSupported</a></div><div class="ttdeci">bool IsSpaceToBatchNdSupported(const TensorInfo &input, const TensorInfo &output, const SpaceToBatchNdDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02521">RefLayerSupport.cpp:2521</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_support_base_html_a21fd6e1714d62eb57f7e31e3ccaaa152"><div class="ttname"><a href="classarmnn_1_1_layer_support_base.html#a21fd6e1714d62eb57f7e31e3ccaaa152">armnn::LayerSupportBase::IsMergeSupported</a></div><div class="ttdeci">bool IsMergeSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_base_8cpp_source.html#l00112">LayerSupportBase.cpp:112</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_acc5b87bee8889258d7289f009e754d3d"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#acc5b87bee8889258d7289f009e754d3d">armnn::RefLayerSupport::IsL2NormalizationSupported</a></div><div class="ttdeci">bool IsL2NormalizationSupported(const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01692">RefLayerSupport.cpp:1692</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::LayerType::Quantize</a></div><div class="ttdeci">@ Quantize</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a3a8e66320bb329f751e0f08fa970cd61"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a3a8e66320bb329f751e0f08fa970cd61">armnn::RefLayerSupport::IsMaximumSupported</a></div><div class="ttdeci">bool IsMaximumSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01888">RefLayerSupport.cpp:1888</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::ActivationFunction::Linear</a></div><div class="ttdeci">@ Linear</div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_support_base_html_a081cfb99e9e5b240f8b151f0a7090431"><div class="ttname"><a href="classarmnn_1_1_layer_support_base.html#a081cfb99e9e5b240f8b151f0a7090431">armnn::LayerSupportBase::IsMemImportSupported</a></div><div class="ttdeci">bool IsMemImportSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_base_8cpp_source.html#l00105">LayerSupportBase.cpp:105</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div><div class="ttdeci">@ Multiplication</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div><div class="ttdeci">@ Addition</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_ae96fb1672cadd4e9b87809004799b6da"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#ae96fb1672cadd4e9b87809004799b6da">armnn::RefLayerSupport::IsReshapeSupported</a></div><div class="ttdeci">bool IsReshapeSupported(const TensorInfo &input, const TensorInfo &output, const ReshapeDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02353">RefLayerSupport.cpp:2353</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::LayerType::DepthToSpace</a></div><div class="ttdeci">@ DepthToSpace</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af6f7ce1d0822dea293ac2edc111e54ed"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6f7ce1d0822dea293ac2edc111e54ed">armnn::LayerType::BroadcastTo</a></div><div class="ttdeci">@ BroadcastTo</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a40767d1d9169c7f9c1f1ef2f2aa87133"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a40767d1d9169c7f9c1f1ef2f2aa87133">armnn::RefLayerSupport::IsCastSupported</a></div><div class="ttdeci">bool IsCastSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l00846">RefLayerSupport.cpp:846</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a6bb173cc16cd16909254787311c19995"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a6bb173cc16cd16909254787311c19995">armnn::RefLayerSupport::IsFullyConnectedSupported</a></div><div class="ttdeci">bool IsFullyConnectedSupported(const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const TensorInfo &biases, const FullyConnectedDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01525">RefLayerSupport.cpp:1525</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div><div class="ttdeci">@ DetectionPostProcess</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::LayerType::MemImport</a></div><div class="ttdeci">@ MemImport</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a></div><div class="ttdeci">@ Pooling2d</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a></div><div class="ttdeci">@ Division</div></div> +<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div><div class="ttdeci">@ Signed32</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">armnn::LayerType::Shape</a></div><div class="ttdeci">@ Shape</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a3b1efcbd2ac79d53fa0db56831095cd6"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a3b1efcbd2ac79d53fa0db56831095cd6">armnn::RefLayerSupport::IsOutputSupported</a></div><div class="ttdeci">bool IsOutputSupported(const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02122">RefLayerSupport.cpp:2122</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_ad64886df8ea110d6636746780049a3ee"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#ad64886df8ea110d6636746780049a3ee">armnn::RefLayerSupport::IsDebugSupported</a></div><div class="ttdeci">bool IsDebugSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01167">RefLayerSupport.cpp:1167</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a></div><div class="ttdeci">@ Abs</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_ab4684a5f416ac243a4519f54e683b535"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#ab4684a5f416ac243a4519f54e683b535">armnn::RefLayerSupport::IsConvertFp16ToFp32Supported</a></div><div class="ttdeci">bool IsConvertFp16ToFp32Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l00990">RefLayerSupport.cpp:990</a></div></div> +<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div><div class="ttdeci">@ QAsymmS8</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div><div class="ttdeci">@ FullyConnected</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::LayerType::Gather</a></div><div class="ttdeci">@ Gather</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a83f61b022e9544d0c1f5110cd28ae502"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a83f61b022e9544d0c1f5110cd28ae502">armnn::RefLayerSupport::IsLogicalBinarySupported</a></div><div class="ttdeci">bool IsLogicalBinarySupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const LogicalBinaryDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01726">RefLayerSupport.cpp:1726</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::LayerType::Pooling3d</a></div><div class="ttdeci">@ Pooling3d</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_aac1281b0616904d20dc397cfc5984e8b"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#aac1281b0616904d20dc397cfc5984e8b">armnn::RefLayerSupport::IsDivisionSupported</a></div><div class="ttdeci">bool IsDivisionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01372">RefLayerSupport.cpp:1372</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LayerType::LogSoftmax</a></div><div class="ttdeci">@ LogSoftmax</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</a></div><div class="ttdeci">@ BatchMatMul</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_af77622c468f95d7cbc05b7d6f6e83830"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#af77622c468f95d7cbc05b7d6f6e83830">armnn::RefLayerSupport::IsNormalizationSupported</a></div><div class="ttdeci">bool IsNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02090">RefLayerSupport.cpp:2090</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::LayerType::Cast</a></div><div class="ttdeci">@ Cast</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a></div><div class="ttdeci">@ BatchToSpaceNd</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a98b405bfcfb15d1aa09042ffc370f370"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a98b405bfcfb15d1aa09042ffc370f370">armnn::RefLayerSupport::IsPreluSupported</a></div><div class="ttdeci">bool IsPreluSupported(const TensorInfo &input, const TensorInfo &alpha, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02707">RefLayerSupport.cpp:2707</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_ad557f8fa58e751c93cf271691834ca52"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#ad557f8fa58e751c93cf271691834ca52">armnn::RefLayerSupport::IsFillSupported</a></div><div class="ttdeci">bool IsFillSupported(const TensorInfo &input, const TensorInfo &output, const FillDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01478">RefLayerSupport.cpp:1478</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</a></div><div class="ttdeci">@ Reshape</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::LayerType::SpaceToBatchNd</a></div><div class="ttdeci">@ SpaceToBatchNd</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::LayerType::Fill</a></div><div class="ttdeci">@ Fill</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::LayerType::L2Normalization</a></div><div class="ttdeci">@ L2Normalization</div></div> +<div class="ttc" id="anamespacearmnn_html_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.html#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a030c7a65a5c26b93c57b30e3c9d6a80b"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a030c7a65a5c26b93c57b30e3c9d6a80b">armnn::RefLayerSupport::IsMultiplicationSupported</a></div><div class="ttdeci">bool IsMultiplicationSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02053">RefLayerSupport.cpp:2053</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::LayerType::Minimum</a></div><div class="ttdeci">@ Minimum</div></div> +<div class="ttc" id="anamespacearmnn_html_a23a5267702f036fe70a34f91e6c07490"><div class="ttname"><a href="namespacearmnn.html#a23a5267702f036fe70a34f91e6c07490">armnn::IsSupportedForDataTypeGeneric</a></div><div class="ttdeci">bool IsSupportedForDataTypeGeneric(Optional< std::string & > reasonIfUnsupported, DataType dataType, Float16Func float16FuncPtr, Float32Func float32FuncPtr, Uint8Func uint8FuncPtr, Int32Func int32FuncPtr, BooleanFunc booleanFuncPtr, Params &&... params)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_common_8hpp_source.html#l00027">LayerSupportCommon.hpp:27</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::LayerType::UnidirectionalSequenceLstm</a></div><div class="ttdeci">@ UnidirectionalSequenceLstm</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a227f01f31ce42d62f160d49d5d044a3b"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a227f01f31ce42d62f160d49d5d044a3b">armnn::RefLayerSupport::IsStridedSliceSupported</a></div><div class="ttdeci">bool IsStridedSliceSupported(const TensorInfo &input, const TensorInfo &output, const StridedSliceDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02642">RefLayerSupport.cpp:2642</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">armnn::LayerType::Map</a></div><div class="ttdeci">@ Map</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295">armnn::LayerType::ReverseV2</a></div><div class="ttdeci">@ ReverseV2</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a76fea9e8e52d879f59b268b060635145"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a76fea9e8e52d879f59b268b060635145">armnn::RefLayerSupport::IsMemCopySupported</a></div><div class="ttdeci">bool IsMemCopySupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01987">RefLayerSupport.cpp:1987</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a></div><div class="ttdeci">@ ReLu</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a></div><div class="ttdeci">@ MemCopy</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::LayerType::ArgMinMax</a></div><div class="ttdeci">@ ArgMinMax</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::LayerType::Pad</a></div><div class="ttdeci">@ Pad</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a3741887d06449834eea19c00d1320f7c"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a3741887d06449834eea19c00d1320f7c">armnn::RefLayerSupport::IsConstantSupported</a></div><div class="ttdeci">bool IsConstantSupported(const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l00972">RefLayerSupport.cpp:972</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">armnn::LayerType::Rank</a></div><div class="ttdeci">@ Rank</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_abe9e711bd5dc9844369d4c706e0d8b0a"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#abe9e711bd5dc9844369d4c706e0d8b0a">armnn::RefLayerSupport::IsChannelShuffleSupported</a></div><div class="ttdeci">bool IsChannelShuffleSupported(const TensorInfo &input, const TensorInfo &output, const ChannelShuffleDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l00876">RefLayerSupport.cpp:876</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">armnn::LayerType::Mean</a></div><div class="ttdeci">@ Mean</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a4b423d2cd51bbfb363141d823cecf943"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a4b423d2cd51bbfb363141d823cecf943">armnn::RefLayerSupport::IsShapeSupported</a></div><div class="ttdeci">bool IsShapeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02445">RefLayerSupport.cpp:2445</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::ActivationFunction::Square</a></div><div class="ttdeci">@ Square</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a1a431d200c1ab85913cac36539d9ca3b"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a1a431d200c1ab85913cac36539d9ca3b">armnn::RefLayerSupport::IsTransposeSupported</a></div><div class="ttdeci">bool IsTransposeSupported(const TensorInfo &input, const TensorInfo &output, const TransposeDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02838">RefLayerSupport.cpp:2838</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::LayerType::Resize</a></div><div class="ttdeci">@ Resize</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a63cd5b66c276be0542571be736aaf7f5"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a63cd5b66c276be0542571be736aaf7f5">armnn::RefLayerSupport::IsConvertFp32ToFp16Supported</a></div><div class="ttdeci">bool IsConvertFp32ToFp16Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01010">RefLayerSupport.cpp:1010</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a0f58d59316606a2de39bbafe7569378c"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a0f58d59316606a2de39bbafe7569378c">armnn::RefLayerSupport::IsGatherSupported</a></div><div class="ttdeci">bool IsGatherSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const GatherDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01622">RefLayerSupport.cpp:1622</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_abd5430fb7e3f330b675a797d690e6eb4"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#abd5430fb7e3f330b675a797d690e6eb4">armnn::RefLayerSupport::IsStackSupported</a></div><div class="ttdeci">bool IsStackSupported(const std::vector< const TensorInfo * > &inputs, const TensorInfo &output, const StackDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02609">RefLayerSupport.cpp:2609</a></div></div> +<div class="ttc" id="anamespacearmnn_html_aa588395c0d3b0074091b497835aaa309"><div class="ttname"><a href="namespacearmnn.html#aa588395c0d3b0074091b497835aaa309">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string & > reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.html#l00038">LayerSupportRules.hpp:38</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a91c358cdf313fc39ec0cedece89faac3"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a91c358cdf313fc39ec0cedece89faac3">armnn::RefLayerSupport::IsLogSoftmaxSupported</a></div><div class="ttdeci">bool IsLogSoftmaxSupported(const TensorInfo &input, const TensorInfo &output, const LogSoftmaxDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01751">RefLayerSupport.cpp:1751</a></div></div> +<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">armnn::DataType::Signed64</a></div><div class="ttdeci">@ Signed64</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div><div class="ttdeci">@ Convolution2d</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">armnn::LayerType::FakeQuantization</a></div><div class="ttdeci">@ FakeQuantization</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">armnn::LayerType::Maximum</a></div><div class="ttdeci">@ Maximum</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div><div class="ttdeci">@ Activation</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::LayerType::Lstm</a></div><div class="ttdeci">@ Lstm</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</a></div><div class="ttdeci">@ Dequantize</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a></div><div class="ttdeci">@ Convolution3d</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_abc2d31208c6bcced31369b024eee3b65"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#abc2d31208c6bcced31369b024eee3b65">armnn::RefLayerSupport::IsSoftmaxSupported</a></div><div class="ttdeci">bool IsSoftmaxSupported(const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02492">RefLayerSupport.cpp:2492</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a29d47a3b7a5f312d858c2a1c67905a83"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a29d47a3b7a5f312d858c2a1c67905a83">armnn::RefLayerSupport::IsSliceSupported</a></div><div class="ttdeci">bool IsSliceSupported(const TensorInfo &input, const TensorInfo &output, const SliceDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02463">RefLayerSupport.cpp:2463</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410">armnn::LayerType::Unmap</a></div><div class="ttdeci">@ Unmap</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a649ebe27288d2e62ed0069c0f1d941b8"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a649ebe27288d2e62ed0069c0f1d941b8">armnn::RefLayerSupport::IsPadSupported</a></div><div class="ttdeci">bool IsPadSupported(const TensorInfo &input, const TensorInfo &output, const PadDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02128">RefLayerSupport.cpp:2128</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::LayerType::QLstm</a></div><div class="ttdeci">@ QLstm</div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a2a89cbdac994b2cc7d15eb74a6476351"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a2a89cbdac994b2cc7d15eb74a6476351">armnn::RefLayerSupport::IsGatherNdSupported</a></div><div class="ttdeci">bool IsGatherNdSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01591">RefLayerSupport.cpp:1591</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_aa81040706a8b0b9ef1cb18c68e7dcdf4"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#aa81040706a8b0b9ef1cb18c68e7dcdf4">armnn::RefLayerSupport::IsUnidirectionalSequenceLstmSupported</a></div><div class="ttdeci">bool IsUnidirectionalSequenceLstmSupported(const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const UnidirectionalSequenceLstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02869">RefLayerSupport.cpp:2869</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a96f76305323bd5f2c9f8e2850a327f95"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a96f76305323bd5f2c9f8e2850a327f95">armnn::RefLayerSupport::IsInstanceNormalizationSupported</a></div><div class="ttdeci">bool IsInstanceNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l01661">RefLayerSupport.cpp:1661</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_layer_support_html_a68ddd3634fa7ce3a1eea8d7cc5adc9f0"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.html#a68ddd3634fa7ce3a1eea8d7cc5adc9f0">armnn::RefLayerSupport::IsMinimumSupported</a></div><div class="ttdeci">bool IsMinimumSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.html#l02016">RefLayerSupport.cpp:2016</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div> +<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a></div><div class="ttdeci">@ Sigmoid</div></div> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="namespacearmnn.html">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_ref_layer_support.html">RefLayerSupport</a></li> + <li class="footer">Generated on Wed Nov 22 2023 10:57:16 for Arm NN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li> + </ul> +</div> 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