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  84 <div class="title">WorkloadTestUtils.hpp</div>  </div>
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  87 <a href="_workload_test_utils_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;</div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_8hpp.html">armnn/Tensor.hpp</a>&gt;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="include_2armnn_2backends_2_i_backend_internal_8hpp.html">armnn/backends/IBackendInternal.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="include_2armnn_2backends_2_i_memory_manager_8hpp.html">armnn/backends/IMemoryManager.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_8hpp.html">backendsCommon/Workload.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="src_2backends_2backends_common_2_workload_info_8hpp.html">backendsCommon/WorkloadInfo.hpp</a>&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;{</div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="keyword">class </span>ITensorHandle;</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;} <span class="comment">// namespace armnn</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;{</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> QueueDescriptor&gt;</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="keywordtype">void</span> AddInputToWorkload(QueueDescriptor&amp; descriptor,</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;    <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a>&amp; info,</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; tensorInfo,</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    <a class="code" href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a>* tensorHandle)</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;{</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    descriptor.m_Inputs.push_back(tensorHandle);</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    info.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.push_back(tensorInfo);</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;}</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> QueueDescriptor&gt;</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="keywordtype">void</span> AddOutputToWorkload(QueueDescriptor&amp; descriptor,</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a>&amp; info,</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; tensorInfo,</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;    <a class="code" href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a>* tensorHandle)</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    descriptor.m_Outputs.push_back(tensorHandle);</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;    info.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.push_back(tensorInfo);</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;}</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> QueueDescriptor&gt;</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="keywordtype">void</span> SetWorkloadInput(QueueDescriptor&amp; descriptor,</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a>&amp; info,</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index,</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; tensorInfo,</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    <a class="code" href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a>* tensorHandle)</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;{</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    descriptor.m_Inputs[index] = tensorHandle;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    info.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[index] = tensorInfo;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;}</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> QueueDescriptor&gt;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="keywordtype">void</span> SetWorkloadOutput(QueueDescriptor&amp; descriptor,</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a>&amp; info,</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index,</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; tensorInfo,</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    <a class="code" href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a>* tensorHandle)</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;{</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    descriptor.m_Outputs[index] = tensorHandle;</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    info.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[index] = tensorInfo;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;}</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> ExecuteWorkload(<a class="code" href="classarmnn_1_1_i_workload.html">armnn::IWorkload</a>&amp; workload,</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;                            <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;                            <span class="keywordtype">bool</span> memoryManagementRequested = <span class="keyword">true</span>)</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;{</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">bool</span> manageMemory = memoryManager &amp;&amp; memoryManagementRequested;</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="comment">// Acquire working memory (if needed)</span></div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keywordflow">if</span> (manageMemory)</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    {</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        memoryManager-&gt;Acquire();</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    }</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    <span class="comment">// Perform PostAllocationConfiguration</span></div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    workload.<a class="code" href="classarmnn_1_1_i_workload.html#ab8e9559f02bf8e7cdb73741c9da8d991">PostAllocationConfigure</a>();</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <span class="comment">// Execute the workload</span></div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    workload.<a class="code" href="classarmnn_1_1_i_workload.html#a72ae00e6604850c8798c5e0d825ee7e4">Execute</a>();</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <span class="comment">// Release working memory (if needed)</span></div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <span class="keywordflow">if</span> (manageMemory)</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    {</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;        memoryManager-&gt;Release();</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    }</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;}</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;<span class="keyword">inline</span> <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional&lt;armnn::DataType&gt;</a> <a class="code" href="namespacearmnn.html#a83c4a275acf59f62b8387f389d0929d5">GetBiasTypeFromWeightsType</a>(<a class="code" href="classarmnn_1_1_optional.html">armnn::Optional&lt;armnn::DataType&gt;</a> weightsType)</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;{</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    <span class="keywordflow">if</span> (!weightsType)</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    {</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;        <span class="keywordflow">return</span> weightsType;</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    }</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    <span class="keywordflow">switch</span>(weightsType.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>())</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    {</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>:</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;            <span class="keywordflow">return</span> weightsType;</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>;</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>;</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;        <span class="keywordflow">default</span>:</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;            BOOST_ASSERT_MSG(<span class="keyword">false</span>, <span class="stringliteral">&quot;GetBiasTypeFromWeightsType(): Unsupported data type.&quot;</span>);</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    }</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_empty_optional.html">armnn::EmptyOptional</a>();</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;}</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;} <span class="comment">// anonymous namespace</span></div><div class="ttc" id="src_2backends_2backends_common_2_workload_info_8hpp_html"><div class="ttname"><a href="src_2backends_2backends_common_2_workload_info_8hpp.html">WorkloadInfo.hpp</a></div></div>
  88 <div class="ttc" id="classarmnn_1_1_i_workload_html_a72ae00e6604850c8798c5e0d825ee7e4"><div class="ttname"><a href="classarmnn_1_1_i_workload.html#a72ae00e6604850c8798c5e0d825ee7e4">armnn::IWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const =0</div></div>
  89 <div class="ttc" id="classarmnn_1_1_i_workload_html"><div class="ttname"><a href="classarmnn_1_1_i_workload.html">armnn::IWorkload</a></div><div class="ttdoc">Workload interface to enqueue a layer computation. </div><div class="ttdef"><b>Definition:</b> <a href="_i_workload_8hpp_source.html#l00013">IWorkload.hpp:13</a></div></div>
  90 <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
  91 <div class="ttc" id="classarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00270">Optional.hpp:270</a></div></div>
  92 <div class="ttc" id="classarmnn_1_1_i_workload_html_ab8e9559f02bf8e7cdb73741c9da8d991"><div class="ttname"><a href="classarmnn_1_1_i_workload.html#ab8e9559f02bf8e7cdb73741c9da8d991">armnn::IWorkload::PostAllocationConfigure</a></div><div class="ttdeci">virtual void PostAllocationConfigure()=0</div></div>
  93 <div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
  94 <div class="ttc" id="structarmnn_1_1_workload_info_html_a67b178f8a836bc1e52b8de109760adfd"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">armnn::WorkloadInfo::m_OutputTensorInfos</a></div><div class="ttdeci">std::vector&lt; TensorInfo &gt; m_OutputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00019">WorkloadInfo.hpp:19</a></div></div>
  95 <div class="ttc" id="classarmnn_1_1_i_backend_internal_html_a693b40e6b94e958836aeb0410ca186bd"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a></div><div class="ttdeci">std::shared_ptr&lt; IMemoryManager &gt; IMemoryManagerSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.html#l00090">IBackendInternal.hpp:90</a></div></div>
  96 <div class="ttc" id="_workload_8hpp_html"><div class="ttname"><a href="_workload_8hpp.html">Workload.hpp</a></div></div>
  97 <div class="ttc" id="classarmnn_1_1_i_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.html#l00016">ITensorHandle.hpp:16</a></div></div>
  98 <div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
  99 <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
 100 <div class="ttc" id="namespacearmnn_html_a83c4a275acf59f62b8387f389d0929d5"><div class="ttname"><a href="namespacearmnn.html#a83c4a275acf59f62b8387f389d0929d5">armnn::GetBiasTypeFromWeightsType</a></div><div class="ttdeci">armnn::Optional&lt; armnn::DataType &gt; GetBiasTypeFromWeightsType(armnn::Optional&lt; armnn::DataType &gt; weightsType)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.html#l00014">LayerSupportRules.hpp:14</a></div></div>
 101 <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
 102 <div class="ttc" id="structarmnn_1_1_workload_info_html_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">armnn::WorkloadInfo::m_InputTensorInfos</a></div><div class="ttdeci">std::vector&lt; TensorInfo &gt; m_InputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00018">WorkloadInfo.hpp:18</a></div></div>
 103 <div class="ttc" id="structarmnn_1_1_empty_optional_html"><div class="ttname"><a href="structarmnn_1_1_empty_optional.html">armnn::EmptyOptional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00032">Optional.hpp:32</a></div></div>
 104 <div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
 105 <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
 106 <div class="ttc" id="include_2armnn_2backends_2_i_backend_internal_8hpp_html"><div class="ttname"><a href="include_2armnn_2backends_2_i_backend_internal_8hpp.html">IBackendInternal.hpp</a></div></div>
 107 <div class="ttc" id="_tensor_8hpp_html"><div class="ttname"><a href="_tensor_8hpp.html">Tensor.hpp</a></div></div>
 108 <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div>
 109 <div class="ttc" id="include_2armnn_2backends_2_i_memory_manager_8hpp_html"><div class="ttname"><a href="include_2armnn_2backends_2_i_memory_manager_8hpp.html">IMemoryManager.hpp</a></div></div>
 110 <div class="ttc" id="classarmnn_1_1_optional_reference_switch_html_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch&lt; std::is_reference&lt; T &gt;::value, T &gt;::value</a></div><div class="ttdeci">const T &amp; value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00146">Optional.hpp:146</a></div></div>
 111 </div><!-- fragment --></div><!-- contents -->
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