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+<a href="_neon_fully_connected_workload_8cpp.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;</div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_neon_fully_connected_workload_8hpp.html">NeonFullyConnectedWorkload.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_neon_workload_utils_8hpp.html">NeonWorkloadUtils.hpp</a>&quot;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.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="_arm_compute_utils_8hpp.html">aclCommon/ArmComputeUtils.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="_cpu_tensor_handle_8hpp.html">backendsCommon/CpuTensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &lt;arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;{</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="keyword">using namespace </span>armcomputetensorutils;</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"><a class="line" href="namespacearmnn.html#a0b7897a2a04016aa7fa24e2a1d10e944">   19</a></span>&#160;<a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#a0b7897a2a04016aa7fa24e2a1d10e944">NeonFullyConnectedWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;                                                       <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;                                                       <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; weights,</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;                                                       <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; biases,</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;                                                       <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.html">FullyConnectedDescriptor</a>&amp; descriptor)</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;{</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;    <span class="keyword">const</span> arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input);</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    <span class="keyword">const</span> arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output);</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;    <span class="keyword">const</span> arm_compute::TensorInfo aclWeights = BuildArmComputeTensorInfo(weights);</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    arm_compute::TensorInfo aclBiases;</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    arm_compute::TensorInfo *optionalAclBiases = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;    <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;    {</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;        aclBiases  = BuildArmComputeTensorInfo(biases);</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;        optionalAclBiases = &amp;aclBiases;</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    }</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    <span class="keyword">const</span> arm_compute::FullyConnectedLayerInfo fullyConnectedLayerInfo =</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;        <a class="code" href="namespacearmnn.html#abccab9266ab13dbd806445af31ddbba7">ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo</a>(descriptor);</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;</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;    <span class="keywordflow">return</span> arm_compute::NEFullyConnectedLayer::validate(&amp;aclInput,</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;                                                        &amp;aclWeights,</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;                                                        optionalAclBiases,</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;                                                        &amp;aclOutput,</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;                                                        fullyConnectedLayerInfo);</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;}</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_fully_connected_workload.html#addd5ca5793cf188ba62c9f73f378e014">   48</a></span>&#160;<a class="code" href="classarmnn_1_1_neon_fully_connected_workload.html#addd5ca5793cf188ba62c9f73f378e014">NeonFullyConnectedWorkload::NeonFullyConnectedWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.html">FullyConnectedQueueDescriptor</a>&amp; descriptor,</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>&amp; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>, std::shared_ptr&lt;arm_compute::MemoryManagerOnDemand&gt;&amp; memoryManager)</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    : <a class="code" href="classarmnn_1_1_base_workload.html">BaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.html">FullyConnectedQueueDescriptor</a>&gt;(descriptor, info)</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;    <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">&quot;NeonFullyConnectedWorkload&quot;</span>, 1, 1);</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    arm_compute::ITensor&amp; input = boost::polymorphic_downcast&lt;IAclTensorHandle*&gt;(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])-&gt;GetTensor();</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    arm_compute::ITensor&amp; output = boost::polymorphic_downcast&lt;IAclTensorHandle*&gt;(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])-&gt;GetTensor();</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    m_WeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    BuildArmComputeTensor(*m_WeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.html#a3369b66d9316a773a41711e3f590c041">m_Weight</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</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;    <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    {</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;        m_BiasesTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;        BuildArmComputeTensor(*m_BiasesTensor, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.html#ab3437cee6b0687812104fc1b37cbe8b3">m_Bias</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    }</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <span class="comment">// Construct</span></div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    arm_compute::FullyConnectedLayerInfo fc_info;</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    fc_info.transpose_weights = <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.html#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a>;</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="keyword">auto</span> layer = std::make_unique&lt;arm_compute::NEFullyConnectedLayer&gt;(memoryManager);</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    layer-&gt;configure(&amp;input, m_WeightsTensor.get(), m_BiasesTensor.get(), &amp;output, fc_info);</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    m_FullyConnectedLayer.reset(layer.release());</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    <span class="comment">// Allocate</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.html#a3369b66d9316a773a41711e3f590c041">m_Weight</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>)</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    {</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        <a class="code" href="namespacearmnn.html#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_WeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.html#a3369b66d9316a773a41711e3f590c041">m_Weight</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="keywordflow">else</span></div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    {</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;        <a class="code" href="namespacearmnn.html#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_WeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.html#a3369b66d9316a773a41711e3f590c041">m_Weight</a>);</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    }</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <span class="keywordflow">if</span> (m_BiasesTensor)</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    {</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;        <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.html#ab3437cee6b0687812104fc1b37cbe8b3">m_Bias</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>)</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;            <a class="code" href="namespacearmnn.html#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_BiasesTensor, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.html#ab3437cee6b0687812104fc1b37cbe8b3">m_Bias</a>);</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;        }</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;        <span class="keywordflow">else</span></div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;        {</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;            <a class="code" href="namespacearmnn.html#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_BiasesTensor, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.html#ab3437cee6b0687812104fc1b37cbe8b3">m_Bias</a>);</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;        }</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="comment">// Force Compute Library to perform the necessary copying and reshaping, after which</span></div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    <span class="comment">// delete all the input tensors that will no longer be needed</span></div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    m_FullyConnectedLayer-&gt;prepare();</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    FreeUnusedTensors();</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;}</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">  102</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonFullyConnectedWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <a class="code" href="_neon_workload_utils_8hpp.html#a8bf91fd5e5875631bcf6abbcd97fe2f4">ARMNN_SCOPED_PROFILING_EVENT_NEON</a>(<span class="stringliteral">&quot;NeonFullyConnectedWorkload_Execute&quot;</span>);</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    m_FullyConnectedLayer-&gt;run();</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;}</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="keywordtype">void</span> NeonFullyConnectedWorkload::FreeUnusedTensors()</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;    FreeTensorIfUnused(m_WeightsTensor);</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    FreeTensorIfUnused(m_BiasesTensor);</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;}</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;} <span class="comment">//namespace armnn</span></div><div class="ttc" id="_neon_fully_connected_workload_8hpp_html"><div class="ttname"><a href="_neon_fully_connected_workload_8hpp.html">NeonFullyConnectedWorkload.hpp</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00026">Types.hpp:26</a></div></div>
+<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_html_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">armnn::ConstCpuTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00037">CpuTensorHandle.hpp:37</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a0b7897a2a04016aa7fa24e2a1d10e944"><div class="ttname"><a href="namespacearmnn.html#a0b7897a2a04016aa7fa24e2a1d10e944">armnn::NeonFullyConnectedWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonFullyConnectedWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const TensorInfo &amp;weights, const TensorInfo &amp;biases, const FullyConnectedDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_fully_connected_workload_8cpp_source.html#l00019">NeonFullyConnectedWorkload.cpp:19</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
+<div class="ttc" id="_neon_workload_utils_8hpp_html_a8bf91fd5e5875631bcf6abbcd97fe2f4"><div class="ttname"><a href="_neon_workload_utils_8hpp.html#a8bf91fd5e5875631bcf6abbcd97fe2f4">ARMNN_SCOPED_PROFILING_EVENT_NEON</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.html#l00017">NeonWorkloadUtils.hpp:17</a></div></div>
+<div class="ttc" id="structarmnn_1_1_fully_connected_queue_descriptor_html_a3369b66d9316a773a41711e3f590c041"><div class="ttname"><a href="structarmnn_1_1_fully_connected_queue_descriptor.html#a3369b66d9316a773a41711e3f590c041">armnn::FullyConnectedQueueDescriptor::m_Weight</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Weight</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00149">WorkloadData.hpp:149</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
+<div class="ttc" id="namespacearmnn_html_abccab9266ab13dbd806445af31ddbba7"><div class="ttname"><a href="namespacearmnn.html#abccab9266ab13dbd806445af31ddbba7">armnn::ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo</a></div><div class="ttdeci">arm_compute::FullyConnectedLayerInfo ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo(const FullyConnectedDescriptor &amp;fullyConnectedDesc)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00118">ArmComputeUtils.hpp:118</a></div></div>
+<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div>
+<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>
+<div class="ttc" id="structarmnn_1_1_fully_connected_queue_descriptor_html_ab3437cee6b0687812104fc1b37cbe8b3"><div class="ttname"><a href="structarmnn_1_1_fully_connected_queue_descriptor.html#ab3437cee6b0687812104fc1b37cbe8b3">armnn::FullyConnectedQueueDescriptor::m_Bias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Bias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00150">WorkloadData.hpp:150</a></div></div>
+<div class="ttc" id="_neon_workload_utils_8hpp_html"><div class="ttname"><a href="_neon_workload_utils_8hpp.html">NeonWorkloadUtils.hpp</a></div></div>
+<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>
+<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::FullyConnectedDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00386">Descriptors.hpp:386</a></div></div>
+<div class="ttc" id="classarmnn_1_1_neon_fully_connected_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::NeonFullyConnectedWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_fully_connected_workload_8cpp_source.html#l00102">NeonFullyConnectedWorkload.cpp:102</a></div></div>
+<div class="ttc" id="_arm_compute_tensor_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.html">ArmComputeTensorUtils.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_base_workload_html_a0a487c549c63319505095b855ea3c195"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">armnn::BaseWorkload&lt; FullyConnectedQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">const FullyConnectedQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00046">Workload.hpp:46</a></div></div>
+<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00373">Descriptors.hpp:373</a></div></div>
+<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_html_a281fcaec86e17c97f7b8402633f6b55a"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html#a281fcaec86e17c97f7b8402633f6b55a">armnn::FullyConnectedDescriptor::m_TransposeWeightMatrix</a></div><div class="ttdeci">bool m_TransposeWeightMatrix</div><div class="ttdoc">Enable/disable transpose weight matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00388">Descriptors.hpp:388</a></div></div>
+<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>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
+<div class="ttc" id="structarmnn_1_1_queue_descriptor_html_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">armnn::QueueDescriptor::ValidateInputsOutputs</a></div><div class="ttdeci">void ValidateInputsOutputs(const std::string &amp;descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00459">WorkloadData.cpp:459</a></div></div>
+<div class="ttc" id="_arm_compute_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_utils_8hpp.html">ArmComputeUtils.hpp</a></div></div>
+<div class="ttc" id="_cpu_tensor_handle_8hpp_html"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.html">CpuTensorHandle.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00095">Tensor.hpp:95</a></div></div>
+<div class="ttc" id="structarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00031">WorkloadData.hpp:31</a></div></div>
+<div class="ttc" id="structarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00030">WorkloadData.hpp:30</a></div></div>
+<div class="ttc" id="structarmnn_1_1_fully_connected_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fully_connected_queue_descriptor.html">armnn::FullyConnectedQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00141">WorkloadData.hpp:141</a></div></div>
+<div class="ttc" id="classarmnn_1_1_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_base_workload.html">armnn::BaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00028">Workload.hpp:28</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad9aa8d49d42ada3f757290033af39857"><div class="ttname"><a href="namespacearmnn.html#ad9aa8d49d42ada3f757290033af39857">armnn::InitializeArmComputeTensorData</a></div><div class="ttdeci">void InitializeArmComputeTensorData(arm_compute::Tensor &amp;tensor, const ConstCpuTensorHandle *handle)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.html#l00035">NeonWorkloadUtils.hpp:35</a></div></div>
+<div class="ttc" id="classarmnn_1_1_neon_fully_connected_workload_html_addd5ca5793cf188ba62c9f73f378e014"><div class="ttname"><a href="classarmnn_1_1_neon_fully_connected_workload.html#addd5ca5793cf188ba62c9f73f378e014">armnn::NeonFullyConnectedWorkload::NeonFullyConnectedWorkload</a></div><div class="ttdeci">NeonFullyConnectedWorkload(const FullyConnectedQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info, std::shared_ptr&lt; arm_compute::MemoryManagerOnDemand &gt; &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_fully_connected_workload_8cpp_source.html#l00048">NeonFullyConnectedWorkload.cpp:48</a></div></div>
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