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author | Jan Eilers <jan.eilers@arm.com> | 2021-02-25 17:44:00 +0000 |
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committer | Jan Eilers <jan.eilers@arm.com> | 2021-02-25 18:27:49 +0000 |
commit | fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf (patch) | |
tree | eb4bc8f9b411f30c7655616142b5a4bdd3a1acd0 /21.02/_multiplication_test_impl_8hpp.xhtml | |
parent | fb14ebbd68e04876809145296af96f6f41857418 (diff) | |
download | armnn-fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf.tar.gz |
IVGCVSW-5687 Update Doxygen Docu
* Update Doxygen Documentation for 21.02 release
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5
Diffstat (limited to '21.02/_multiplication_test_impl_8hpp.xhtml')
-rw-r--r-- | 21.02/_multiplication_test_impl_8hpp.xhtml | 684 |
1 files changed, 684 insertions, 0 deletions
diff --git a/21.02/_multiplication_test_impl_8hpp.xhtml b/21.02/_multiplication_test_impl_8hpp.xhtml new file mode 100644 index 0000000000..d592524472 --- /dev/null +++ b/21.02/_multiplication_test_impl_8hpp.xhtml @@ -0,0 +1,684 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://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 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/backends/backendsCommon/test/layerTests/MultiplicationTestImpl.hpp File Reference</title> +<link href="tabs.css" rel="stylesheet" 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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"> +$(document).ready(function(){initNavTree('_multiplication_test_impl_8hpp.xhtml','');}); +</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="#func-members">Functions</a> </div> + <div class="headertitle"> +<div class="title">MultiplicationTestImpl.hpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_layer_test_result_8hpp_source.xhtml">LayerTestResult.hpp</a>"</code><br /> +<code>#include <<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml">armnn/backends/IBackendInternal.hpp</a>></code><br /> +<code>#include <<a class="el" href="_workload_factory_8hpp_source.xhtml">backendsCommon/WorkloadFactory.hpp</a>></code><br /> +</div> +<p><a href="_multiplication_test_impl_8hpp_source.xhtml">Go to the source code of this file.</a></p> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> +Functions</h2></td></tr> +<tr class="memitem:ab7950f4e2ffcdf27eb2b81408c47c720"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_multiplication_test_impl_8hpp.xhtml#ab7950f4e2ffcdf27eb2b81408c47c720">MultiplicationTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:ab7950f4e2ffcdf27eb2b81408c47c720"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab16021183e750594aa3308f6b15f43c5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 5 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_multiplication_test_impl_8hpp.xhtml#ab16021183e750594aa3308f6b15f43c5">Multiplication5dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:ab16021183e750594aa3308f6b15f43c5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab3c440cc96ac0f4edbe6e3c7cd243441"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_multiplication_test_impl_8hpp.xhtml#ab3c440cc96ac0f4edbe6e3c7cd243441">MultiplicationBroadcast1ElementTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:ab3c440cc96ac0f4edbe6e3c7cd243441"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afb2587380a0f243fee920d181f35fd97"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_multiplication_test_impl_8hpp.xhtml#afb2587380a0f243fee920d181f35fd97">MultiplicationBroadcast1DVectorTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:afb2587380a0f243fee920d181f35fd97"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad9d59c03ac9109db34b4f4befb76d5f7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_multiplication_test_impl_8hpp.xhtml#ad9d59c03ac9109db34b4f4befb76d5f7">MultiplicationUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:ad9d59c03ac9109db34b4f4befb76d5f7"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a20ecf3acbd6431b09baa62012ddf4818"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_multiplication_test_impl_8hpp.xhtml#a20ecf3acbd6431b09baa62012ddf4818">MultiplicationBroadcast1ElementUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a20ecf3acbd6431b09baa62012ddf4818"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acc0d633a4318e7ee7e47413ef60a474c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_multiplication_test_impl_8hpp.xhtml#acc0d633a4318e7ee7e47413ef60a474c">MultiplicationBroadcast1DVectorUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:acc0d633a4318e7ee7e47413ef60a474c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1f055a5f6a995101a6787c2a3b278095"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_multiplication_test_impl_8hpp.xhtml#a1f055a5f6a995101a6787c2a3b278095">MultiplicationInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a1f055a5f6a995101a6787c2a3b278095"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2e440a7f3839ddc8d244694661e60809"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_multiplication_test_impl_8hpp.xhtml#a2e440a7f3839ddc8d244694661e60809">MultiplicationBroadcast1ElementInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a2e440a7f3839ddc8d244694661e60809"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae4ae12522532880994ac5039e09ec1ea"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_multiplication_test_impl_8hpp.xhtml#ae4ae12522532880994ac5039e09ec1ea">MultiplicationBroadcast1DVectorInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:ae4ae12522532880994ac5039e09ec1ea"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afe5456aa5e9e736021e3934deec04fdb"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_multiplication_test_impl_8hpp.xhtml#afe5456aa5e9e736021e3934deec04fdb">MultiplicationInt32Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:afe5456aa5e9e736021e3934deec04fdb"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7f0d503f25d69a7b5690d382a1b3be58"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_multiplication_test_impl_8hpp.xhtml#a7f0d503f25d69a7b5690d382a1b3be58">MultiplicationBroadcast1ElementInt32Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a7f0d503f25d69a7b5690d382a1b3be58"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4002da98714bb13e765f42b82d00a628"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_multiplication_test_impl_8hpp.xhtml#a4002da98714bb13e765f42b82d00a628">MultiplicationBroadcast1DVectorInt32Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a4002da98714bb13e765f42b82d00a628"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac73d55da3081f8bf640dfb7f354ff1c1"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_multiplication_test_impl_8hpp.xhtml#ac73d55da3081f8bf640dfb7f354ff1c1">CompareMultiplicationTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &refWorkloadFactory, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &refTensorHandleFactory)</td></tr> +<tr class="separator:ac73d55da3081f8bf640dfb7f354ff1c1"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="ac73d55da3081f8bf640dfb7f354ff1c1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac73d55da3081f8bf640dfb7f354ff1c1">◆ </a></span>CompareMultiplicationTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> CompareMultiplicationTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>refWorkloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>refTensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00525">525</a> of file <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml">MultiplicationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01537">IWorkloadFactory::CreateMultiplication()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult< T, n >::output</a>, and <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00042">LayerTestResult< T, n >::outputExpected</a>.</p> +<div class="fragment"><div class="line"><a name="l00531"></a><span class="lineno"> 531</span> {</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 16;</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 32;</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channelCount = 2;</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 5;</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span> </div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo0;</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo1;</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> </div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { batchSize, channelCount, height, width };</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span> </div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  inputTensorInfo0 = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  inputTensorInfo1 = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> </div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float,4></a> comparisonResult(outputTensorInfo);</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span> </div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keyword">auto</span> input0 = MakeRandomTensor<float, 4>(inputTensorInfo0, 803506992);</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keyword">auto</span> input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 54902257);</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span> </div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle0 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo0);</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> </div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle0Ref = refTensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo0);</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refTensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refTensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span> </div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <a class="code" href="structarmnn_1_1_multiplication_queue_descriptor.xhtml">armnn::MultiplicationQueueDescriptor</a> data;</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get());</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span> </div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <a class="code" href="structarmnn_1_1_multiplication_queue_descriptor.xhtml">armnn::MultiplicationQueueDescriptor</a> refData = data;</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> refInfo = info;</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  SetWorkloadInput(refData, refInfo, 0, inputTensorInfo0, inputHandle0Ref.get());</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  SetWorkloadInput(refData, refInfo, 1, inputTensorInfo1, inputHandle1Ref.get());</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get());</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> </div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a756955d7436dd8f6e63cdf6367eb1694">CreateMultiplication</a>(data, info);</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a756955d7436dd8f6e63cdf6367eb1694">CreateMultiplication</a>(refData, refInfo);</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span> </div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  inputHandle0->Allocate();</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  inputHandle1->Allocate();</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  outputHandle->Allocate();</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  inputHandle0Ref->Allocate();</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  inputHandle1Ref->Allocate();</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  outputHandleRef->Allocate();</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span> </div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle0.get(), input0.origin());</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), input1.origin());</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle0Ref.get(), input0.origin());</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1Ref.get(), input1.origin());</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>  workload->PostAllocationConfigure();</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  workload->Execute();</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  workloadRef->PostAllocationConfigure();</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  workloadRef->Execute();</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(comparisonResult.output.origin(), outputHandle.get());</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(comparisonResult.outputExpected.origin(), outputHandleRef.get());</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span> </div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keywordflow">return</span> comparisonResult;</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span> }</div><div class="ttc" id="structarmnn_1_1_multiplication_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_multiplication_queue_descriptor.xhtml">armnn::MultiplicationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00246">WorkloadData.hpp:246</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a756955d7436dd8f6e63cdf6367eb1694"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a756955d7436dd8f6e63cdf6367eb1694">armnn::IWorkloadFactory::CreateMultiplication</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateMultiplication(const MultiplicationQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01537">WorkloadFactory.cpp:1537</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00030">LayerTestResult.hpp:30</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ab16021183e750594aa3308f6b15f43c5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab16021183e750594aa3308f6b15f43c5">◆ </a></span>Multiplication5dTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 5> Multiplication5dTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00061">61</a> of file <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml">MultiplicationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> {</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 3u;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2u;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channelCount = 2u;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 2u;;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depth = 2u;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { depth, batchSize, channelCount, height, width };</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  std::vector<float> input0 =</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  1.80f, 0.20f, 2.30f, 1.30f, 2.10f, 1.00f,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  2.60f, 0.60f, 2.10f, 2.30f, 2.30f, 2.00f,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  2.50f, 1.00f, 2.90f, 3.10f, 1.50f, 2.40f,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  2.80f, 1.10f, 1.00f, 3.20f, 1.00f, 2.30f,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  0.30f, 2.20f, 1.00f, 0.20f, 1.60f, 1.40f,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  0.80f, 3.20f, 0.10f, 0.10f, 3.10f, 2.10f,</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  1.50f, 2.40f, 1.40f, 0.70f, 2.40f, 1.40f,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  1.60f, 1.20f, 1.90f, 0.80f, 0.00f, 0.10f,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  };</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  std::vector<float> input1 =</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  0.70f, 1.00f, 2.90f, 2.20f, 3.10f, 2.80f,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  1.80f, 2.00f, 0.50f, 2.30f, 1.20f, 2.70f,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  2.40f, 0.20f, 3.20f, 1.60f, 0.20f, 2.50f,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  2.30f, 0.70f, 2.70f, 1.80f, 2.90f, 2.70f,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  3.20f, 3.20f, 0.70f, 1.90f, 2.70f, 2.50f,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  2.40f, 0.90f, 2.30f, 1.80f, 2.50f, 2.00f,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  1.60f, 2.20f, 1.60f, 2.00f, 0.30f, 3.20f,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  0.40f, 3.00f, 2.60f, 0.30f, 0.00f, 2.50f,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  };</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  std::vector<float> output =</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  1.26f, 0.20f, 6.67f, 2.86f, 6.51f, 2.80f,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  4.68f, 1.20f, 1.05f, 5.29f, 2.76f, 5.40f,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  6.00f, 0.20f, 9.28f, 4.96f, 0.30f, 6.00f,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  6.44f, 0.77f, 2.70f, 5.76f, 2.90f, 6.21f,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  0.96f, 7.04f, 0.70f, 0.38f, 4.32f, 3.50f,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  1.92f, 2.88f, 0.23f, 0.18f, 7.75f, 4.20f,</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  2.40f, 5.28f, 2.24f, 1.40f, 0.72f, 4.48f,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  0.64f, 3.60f, 4.94f, 0.24f, 0.00f, 0.25f,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  };</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<5, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>(</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  workloadFactory,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  memoryManager,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  shape,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  input0,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  shape,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  input1,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  shape,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  output,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  tensorHandleFactory);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ae4ae12522532880994ac5039e09ec1ea"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae4ae12522532880994ac5039e09ec1ea">◆ </a></span>MultiplicationBroadcast1DVectorInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> MultiplicationBroadcast1DVectorInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00386">386</a> of file <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml">MultiplicationTestImpl.cpp</a>.</p> +<div class="fragment"><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="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 3 };</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span> </div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  std::vector<int16_t> input0 =</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>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  7, 8, 9, 10, 11, 12</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  };</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> </div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  std::vector<int16_t> input1 = { 1, 2, 3 };</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> </div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  std::vector<int16_t> output =</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  {</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  1, 4, 9, 4, 10, 18,</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  7, 16, 27, 10, 22, 36</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  };</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> </div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QSymmS16>(</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  workloadFactory,</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  memoryManager,</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  shape0,</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  input0,</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  shape1,</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  input1,</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  shape0,</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  output,</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  tensorHandleFactory);</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a4002da98714bb13e765f42b82d00a628"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4002da98714bb13e765f42b82d00a628">◆ </a></span>MultiplicationBroadcast1DVectorInt32Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 4> MultiplicationBroadcast1DVectorInt32Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00491">491</a> of file <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml">MultiplicationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> {</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 3 };</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span> </div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  std::vector<int32_t> input0 =</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  {</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  7, 8, 9, 10, 11, 12</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  };</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> </div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  std::vector<int32_t> input1 = { 1, 2, 3 };</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> </div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  std::vector<int32_t> output =</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  {</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  1, 4, 9, 4, 10, 18,</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  7, 16, 27, 10, 22, 36</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  };</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> </div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Signed32>(</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  workloadFactory,</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  memoryManager,</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  shape0,</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  input0,</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  shape1,</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  input1,</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  shape0,</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  output,</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  tensorHandleFactory);</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="afb2587380a0f243fee920d181f35fd97"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afb2587380a0f243fee920d181f35fd97">◆ </a></span>MultiplicationBroadcast1DVectorTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> MultiplicationBroadcast1DVectorTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00159">159</a> of file <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml">MultiplicationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 3, 3, 2 };</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 2 };</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>  std::vector<float> input0 =</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>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  7, 8, 9, 10, 11, 12,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  13, 14, 15, 16, 17, 18</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> </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  std::vector<float> input1 = { 1, 2 };</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>  std::vector<float> output =</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  {</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  1, 4, 3, 8, 5, 12,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  7, 16, 9, 20, 11, 24,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  13, 28, 15, 32, 17, 36</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  };</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">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>(</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  workloadFactory,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  memoryManager,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  shape0,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  input0,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  shape1,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  input1,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  shape0,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  output,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  tensorHandleFactory);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="acc0d633a4318e7ee7e47413ef60a474c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acc0d633a4318e7ee7e47413ef60a474c">◆ </a></span>MultiplicationBroadcast1DVectorUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> MultiplicationBroadcast1DVectorUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00281">281</a> of file <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml">MultiplicationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> {</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 3 };</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> </div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  std::vector<uint8_t> input0 =</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  {</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  7, 8, 9, 10, 11, 12</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  };</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  std::vector<uint8_t> input1 = { 1, 2, 3 };</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  std::vector<uint8_t> output =</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  {</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  1, 4, 9, 4, 10, 18,</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  7, 16, 27, 10, 22, 36</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  };</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> </div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  workloadFactory,</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  memoryManager,</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  shape0,</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  input0,</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  shape1,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  input1,</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  shape0,</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  output,</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  tensorHandleFactory);</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a2e440a7f3839ddc8d244694661e60809"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2e440a7f3839ddc8d244694661e60809">◆ </a></span>MultiplicationBroadcast1ElementInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> MultiplicationBroadcast1ElementInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00352">352</a> of file <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml">MultiplicationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> {</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 1 };</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> </div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  std::vector<int16_t> input0 =</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  {</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  7, 8, 9, 10, 11, 12</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  };</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> </div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  std::vector<int16_t> input1 = { 2 };</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  std::vector<int16_t> output =</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  2, 4, 6, 8, 10, 12,</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  14, 16, 18, 20, 22, 24</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  };</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QSymmS16>(</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  workloadFactory,</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  memoryManager,</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  shape0,</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  input0,</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  shape1,</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  input1,</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  shape0,</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  output,</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  tensorHandleFactory);</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a7f0d503f25d69a7b5690d382a1b3be58"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7f0d503f25d69a7b5690d382a1b3be58">◆ </a></span>MultiplicationBroadcast1ElementInt32Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 4> MultiplicationBroadcast1ElementInt32Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00457">457</a> of file <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml">MultiplicationTestImpl.cpp</a>.</p> +<div class="fragment"><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>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 1 };</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> </div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  std::vector<int32_t> input0 =</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  {</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  7, 8, 9, 10, 11, 12</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  };</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span> </div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  std::vector<int32_t> input1 = { 2 };</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>  std::vector<int32_t> output =</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>  2, 4, 6, 8, 10, 12,</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  14, 16, 18, 20, 22, 24</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  };</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span> </div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Signed32>(</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  workloadFactory,</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  memoryManager,</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  shape0,</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  input0,</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  shape1,</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  input1,</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  shape0,</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  output,</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  tensorHandleFactory);</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab3c440cc96ac0f4edbe6e3c7cd243441"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab3c440cc96ac0f4edbe6e3c7cd243441">◆ </a></span>MultiplicationBroadcast1ElementTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> MultiplicationBroadcast1ElementTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00133">133</a> of file <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml">MultiplicationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> {</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 2 };</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 1 };</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  std::vector<float> input0 = { 1, 2, 3, 4, 5, 6, 7, 8};</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>  std::vector<float> input1 = { 2 };</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  std::vector<float> output = { 2, 4, 6, 8, 10, 12, 14, 16};</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>(</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  workloadFactory,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  memoryManager,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  shape0,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  input0,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  shape1,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  input1,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  shape0,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  output,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  tensorHandleFactory);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a20ecf3acbd6431b09baa62012ddf4818"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a20ecf3acbd6431b09baa62012ddf4818">◆ </a></span>MultiplicationBroadcast1ElementUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> MultiplicationBroadcast1ElementUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00247">247</a> of file <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml">MultiplicationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> {</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 1 };</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  std::vector<uint8_t> input0 =</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  {</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  7, 8, 9, 10, 11, 12</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  };</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  std::vector<uint8_t> input1 = { 2 };</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> </div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  std::vector<uint8_t> output =</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  {</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  2, 4, 6, 8, 10, 12,</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  14, 16, 18, 20, 22, 24</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  };</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  workloadFactory,</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  memoryManager,</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  shape0,</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  input0,</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  shape1,</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  input1,</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  shape0,</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  output,</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  tensorHandleFactory);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a1f055a5f6a995101a6787c2a3b278095"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1f055a5f6a995101a6787c2a3b278095">◆ </a></span>MultiplicationInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> MultiplicationInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00315">315</a> of file <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml">MultiplicationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00319"></a><span class="lineno"> 319</span> {</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  std::vector<int16_t> input0 =</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  {</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  6, 7, 8, 9, 10, 11,</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  12, 13, 14, 15, 16, 17</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  };</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> </div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  std::vector<int16_t> input1 =</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  {</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  7, 8, 9, 10, 11, 12</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  };</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> </div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  std::vector<int16_t> output =</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  {</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  6, 14, 24, 36, 50, 66,</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  84, 104, 126, 150, 176, 204</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  };</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> </div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QSymmS16>(</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  workloadFactory,</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  memoryManager,</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  shape,</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  input0,</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  shape,</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  input1,</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  shape,</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  output,</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  tensorHandleFactory);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="afe5456aa5e9e736021e3934deec04fdb"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afe5456aa5e9e736021e3934deec04fdb">◆ </a></span>MultiplicationInt32Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 4> MultiplicationInt32Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00420">420</a> of file <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml">MultiplicationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> {</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { 1, 2, 2, 3 };</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>  std::vector<int32_t> input0 =</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  {</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  6, 7, 8, 9, 10, 11,</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  12, 13, 14, 15, 16, 17</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  };</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  std::vector<int32_t> input1 =</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  {</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  7, 8, 9, 10, 11, 12</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> </div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  std::vector<int32_t> output =</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  {</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  6, 14, 24, 36, 50, 66,</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  84, 104, 126, 150, 176, 204</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  };</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> </div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Signed32>(</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  workloadFactory,</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  memoryManager,</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  shape,</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  input0,</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  shape,</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  input1,</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  shape,</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  output,</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  tensorHandleFactory);</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab7950f4e2ffcdf27eb2b81408c47c720"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab7950f4e2ffcdf27eb2b81408c47c720">◆ </a></span>MultiplicationTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> MultiplicationTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00020">20</a> of file <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml">MultiplicationTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00026">armnn::GetVector()</a>.</p> +<div class="fragment"><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> {</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 2u;</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2u;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channelCount = 2u;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 2u;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { batchSize, channelCount, height, width };</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  std::vector<float> input0 =</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  1, 1, 1, 1, 2, 2, 2, 2,</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  3, 3, 3, 3, 4, 4, 4, 4</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  };</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  std::vector<float> input1 =</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  2, 2, 2, 2, 3, 3, 3, 3,</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  4, 4, 4, 4, 5, 5, 5, 5</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  };</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  std::vector<float> output =</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  2, 2, 2, 2, 6, 6, 6, 6,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  12, 12, 12, 12, 20, 20, 20, 20</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  };</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>(</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  workloadFactory,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  memoryManager,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  shape,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  input0,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  shape,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  input1,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  shape,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  output,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  tensorHandleFactory);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ad9d59c03ac9109db34b4f4befb76d5f7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad9d59c03ac9109db34b4f4befb76d5f7">◆ </a></span>MultiplicationUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> MultiplicationUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00195">195</a> of file <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml">MultiplicationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 1u;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channels = 2u;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2u;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 3u;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { batchSize, channels, height, width };</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="comment">// See dequantized values to the right</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  std::vector<uint8_t> input0 =</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  {</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  62, 37, 3, 172, 13, 111, <span class="comment">// 244, 144, 8, 684, 48, 440,</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  188, 20, 73, 31, 23, 31 <span class="comment">// 748, 76, 288, 120, 88, 120</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> </div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="comment">// See dequantized values to the right</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  std::vector<uint8_t> input1 =</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  {</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  126, 240, 252, 183, 121, 247, <span class="comment">// 384, 726, 762, 555, 369, 747,</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  48, 115, 151, 79, 78, 97 <span class="comment">// 150, 351, 459, 243, 240, 297</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  };</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="comment">// See dequantized values to the right</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  std::vector<uint8_t> output =</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  {</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  64, 72, 0, 255, 8, 236, <span class="comment">// 93696, 104544, 6096(clamped), 379620(clamped), 17712, 328680,</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  77, 15, 92, 16, 10, 21, <span class="comment">// 112200, 26676, 132192, 29160, 21120, 35640</span></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> </div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="comment">// Scale/offset chosen to have output values out of range</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  workloadFactory,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  memoryManager,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  shape,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  input0,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  4.0f,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  1,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  shape,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  input1,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  3.0f,</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  -2,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  shape,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  output,</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  tensorHandleFactory,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  1366.255f,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  -5);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> }</div></div><!-- fragment --> +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" 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