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<div class="title">ArmComputeUtils.hpp</div>  </div>
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<a href="_arm_compute_utils_8hpp.xhtml">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="_descriptors_8hpp.xhtml">armnn/Descriptors.hpp</a>&gt;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_assert_8hpp.xhtml">armnn/utility/Assert.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="_workload_data_8hpp.xhtml">backendsCommon/WorkloadData.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;arm_compute/core/Types.h&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.xhtml">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;</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="keyword">inline</span> arm_compute::NormalizationLayerInfo</div><div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a5e783a951642781b9e7b55db06a514b7">   18</a></span>&#160;<a class="code" href="namespacearmnn.xhtml#a5e783a951642781b9e7b55db06a514b7">CreateAclNormalizationLayerInfoForL2Normalization</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; tensorInfo,</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;                                                  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</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;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depthDimension = dataLayout == <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a> ? 1 : 3;</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depth = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[depthDimension];</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;    <span class="comment">// At the time of writing, {CL|Neon}L2Normalization performs the reduction only along dimension 0. This version of</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;    <span class="comment">// L2 Normalization always performs the reduction along the depth axis, though. Thus, we repurpose</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    <span class="comment">// {CL|Neon}NormalizationLayers to act as depthwise L2 normalizations by carefully chosing the normalization</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;    <span class="comment">// parameters.</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    <span class="comment">//</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <span class="comment">// Please refer to both the reference implementation of the normalization layer and the implementation of</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    <span class="comment">// {CL|Neon}NormalizationLayer when checking the derivations for the parameter values below.</span></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="comment">// Make sure normalization covers the entire depth range. ACL requires the normalization size to be odd.</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;    <span class="comment">// CL: This does not result in extra kernel threads not doing any work: See usage of the RADIUS parameter in</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    <span class="comment">// ACL&#39;s normalization_layer_cross_map() CL function.</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    <span class="keyword">const</span> uint32_t normSize = depth * 2u + 1u;</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="comment">// See ACL&#39;s NormalizationLayerInfo::scale_coeff() definition.</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    <span class="comment">// For the reference implementation, to make alpha_ become 1, we&#39;d have to use alpha = normSize instead.</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> alpha = 1.0f;</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="comment">// Don&#39;t offset the reduction.</span></div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> kappa = 0.0f;</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    <span class="comment">// pow(reduction, -0.5) = 1 / sqrt(reduction)</span></div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> beta = 0.5f;</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;    <span class="keywordflow">return</span> arm_compute::NormalizationLayerInfo(arm_compute::NormType::CROSS_MAP, normSize, alpha, beta, kappa, <span class="keyword">false</span>);</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;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="keyword">inline</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">arm_compute::ActivationLayerInfo::ActivationFunction</a></div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#afdba36f125621d775d471f0daf613df2">   51</a></span>&#160;<a class="code" href="namespacearmnn.xhtml#afdba36f125621d775d471f0daf613df2">ConvertActivationFunctionToAclActivationFunction</a>(<a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationFunction</a> armnnFunction)</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">using</span> AclActivationFunction = <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">arm_compute::ActivationLayerInfo::ActivationFunction</a>;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <span class="keywordflow">switch</span> (armnnFunction)</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;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">ActivationFunction::Linear</a>:        <span class="keywordflow">return</span> AclActivationFunction::LINEAR;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;        <span class="comment">// Arm compute&#39;s &#39;logistic&#39; function is non-parameterized, so it is exactly a sigmoid function.</span></div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">ActivationFunction::Sigmoid</a>:       <span class="keywordflow">return</span> AclActivationFunction::LOGISTIC;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">ActivationFunction::ReLu</a>:          <span class="keywordflow">return</span> AclActivationFunction::RELU;</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">ActivationFunction::BoundedReLu</a>:   <span class="keywordflow">return</span> AclActivationFunction::LU_BOUNDED_RELU;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">ActivationFunction::SoftReLu</a>:      <span class="keywordflow">return</span> AclActivationFunction::SOFT_RELU;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">ActivationFunction::LeakyReLu</a>:     <span class="keywordflow">return</span> AclActivationFunction::LEAKY_RELU;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">ActivationFunction::Abs</a>:           <span class="keywordflow">return</span> AclActivationFunction::ABS;</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">ActivationFunction::Sqrt</a>:          <span class="keywordflow">return</span> AclActivationFunction::SQRT;</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">ActivationFunction::Square</a>:        <span class="keywordflow">return</span> AclActivationFunction::SQUARE;</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">ActivationFunction::TanH</a>:          <span class="keywordflow">return</span> AclActivationFunction::TANH;</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">ActivationFunction::Elu</a>:           <span class="keywordflow">return</span> AclActivationFunction::ELU;</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">ActivationFunction::HardSwish</a>:     <span class="keywordflow">return</span> AclActivationFunction::HARD_SWISH;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        <span class="keywordflow">default</span>:                                <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;Unsupported activation function&quot;</span>);</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    }</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;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;<span class="keyword">inline</span> arm_compute::ActivationLayerInfo</div><div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ad701d0d29baa4266ab4d33b090aa661c">   75</a></span>&#160;<a class="code" href="namespacearmnn.xhtml#ad701d0d29baa4266ab4d33b090aa661c">ConvertActivationDescriptorToAclActivationLayerInfo</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>&amp; actDesc)</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;    <span class="keywordflow">return</span> arm_compute::ActivationLayerInfo(<a class="code" href="namespacearmnn.xhtml#afdba36f125621d775d471f0daf613df2">ConvertActivationFunctionToAclActivationFunction</a>(actDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>),</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;        actDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a>, actDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a>);</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;}</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;<span class="keyword">inline</span> arm_compute::ActivationLayerInfo</div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#af6d517245110f6b1ca702da0cbbf4518">   82</a></span>&#160;<a class="code" href="namespacearmnn.xhtml#ad701d0d29baa4266ab4d33b090aa661c">ConvertActivationDescriptorToAclActivationLayerInfo</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>* activationDescPtr)</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> (activationDescPtr != <span class="keyword">nullptr</span>)</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">return</span> <a class="code" href="namespacearmnn.xhtml#ad701d0d29baa4266ab4d33b090aa661c">ConvertActivationDescriptorToAclActivationLayerInfo</a>(static_cast&lt;ActivationDescriptor&gt;(</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;                                                                           *activationDescPtr));</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="keywordflow">return</span> arm_compute::ActivationLayerInfo();</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;</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;<span class="keyword">inline</span> arm_compute::ActivationLayerInfo</div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#abfb0841058a8190d30851f07eca3991f">   93</a></span>&#160;<a class="code" href="namespacearmnn.xhtml#abfb0841058a8190d30851f07eca3991f">ConvertAdditionalInfoToAclActivationLayerInfo</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a>&amp; queueDescriptor)</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;    <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>* activationDescPtr = queueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a0428f0a7927f8c29264d9c9a287840da">GetAdditionalInformation</a>&lt;<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>&gt;();</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    <span class="keywordflow">if</span> (activationDescPtr != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    {</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad701d0d29baa4266ab4d33b090aa661c">ConvertActivationDescriptorToAclActivationLayerInfo</a>(static_cast&lt;ActivationDescriptor&gt;(</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;                *activationDescPtr));</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">  102</span>&#160;    <span class="keywordflow">return</span> arm_compute::ActivationLayerInfo();</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;}</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ac1438a97bbc2aee5cd8470d9d2a3aebc">  105</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58c">arm_compute::ComparisonOperation</a> <a class="code" href="namespacearmnn.xhtml#ac1438a97bbc2aee5cd8470d9d2a3aebc">ConvertComparisonOperationToAcl</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a>&amp; descriptor)</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;    <span class="keywordflow">switch</span> (descriptor.<a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">m_Operation</a>)</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    {</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a">ComparisonOperation::Greater</a>:         <span class="keywordflow">return</span> arm_compute::ComparisonOperation::Greater;</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58ca6f2f0aefb3d22da0f3839453add5f937">ComparisonOperation::GreaterOrEqual</a>:  <span class="keywordflow">return</span> arm_compute::ComparisonOperation::GreaterEqual;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58ca1cfdf0e8d0c87a228c1f40d9bee7888b">ComparisonOperation::Less</a>:            <span class="keywordflow">return</span> arm_compute::ComparisonOperation::Less;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58caa4cbdbb6070a5abb35fc95ecf1e22c14">ComparisonOperation::LessOrEqual</a>:     <span class="keywordflow">return</span> arm_compute::ComparisonOperation::LessEqual;</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5">ComparisonOperation::Equal</a>:           <span class="keywordflow">return</span> arm_compute::ComparisonOperation::Equal;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58ca19bb0af2c3c530538cb41aff7f235b96">ComparisonOperation::NotEqual</a>:        <span class="keywordflow">return</span> arm_compute::ComparisonOperation::NotEqual;</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;        <span class="keywordflow">default</span>:                                   <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;Unsupported comparison function&quot;</span>);</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    }</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;}</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ad256fcf8c7f4d5a240fa47f0b56d50af">  119</a></span>&#160;<span class="keyword">inline</span> arm_compute::PoolingType <a class="code" href="namespacearmnn.xhtml#ad256fcf8c7f4d5a240fa47f0b56d50af">ConvertPoolingAlgorithmToAclPoolingType</a>(<a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">PoolingAlgorithm</a> poolingAlgorithm)</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;{</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    <span class="keyword">using</span> arm_compute::PoolingType;</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    <span class="keywordflow">switch</span> (poolingAlgorithm)</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    {</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a6a061313d22e51e0f25b7cd4dc065233">PoolingAlgorithm::Max</a>:             <span class="keywordflow">return</span> PoolingType::MAX;</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718ab1897515d548a960afe49ecf66a29021">PoolingAlgorithm::Average</a>:         <span class="keywordflow">return</span> PoolingType::AVG;</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a7e6aa2d53f6ee2b1a34b017fa403cb76">PoolingAlgorithm::L2</a>:              <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a7e6aa2d53f6ee2b1a34b017fa403cb76">PoolingType::L2</a>;</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;        <span class="keywordflow">default</span>:                                <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;Unsupported pooling algorithm&quot;</span>);</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    }</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;}</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a8f3bfacadfd6d2146d6ccd299dabc7aa">  132</a></span>&#160;<span class="keyword">inline</span> arm_compute::DimensionRoundingType <a class="code" href="namespacearmnn.xhtml#a8f3bfacadfd6d2146d6ccd299dabc7aa">ConvertOutputShapeRoundingToAclDimensionRoundingType</a>(<a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754e">OutputShapeRounding</a></div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;                                                                                                              rounding)</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;{</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    <span class="keyword">using</span> arm_compute::DimensionRoundingType;</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    <span class="keywordflow">switch</span> (rounding)</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    {</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754ea3237fbc8204064c106cb9080088a17cb">OutputShapeRounding::Ceiling</a>:  <span class="keywordflow">return</span> DimensionRoundingType::CEIL;</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">OutputShapeRounding::Floor</a>:    <span class="keywordflow">return</span> DimensionRoundingType::FLOOR;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;        <span class="keywordflow">default</span>:                            <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;Unsupported Output Shape Rounding type&quot;</span>);</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    }</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;}</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;<span class="keyword">inline</span> arm_compute::NormType</div><div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#aa5baabb8e3a4aa6cbdcab419d743e747">  146</a></span>&#160;<a class="code" href="namespacearmnn.xhtml#aa5baabb8e3a4aa6cbdcab419d743e747">ConvertNormalizationAlgorithmChannelToAclNormType</a>(<a class="code" href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437">NormalizationAlgorithmChannel</a> channelType)</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;{</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    <span class="keyword">using</span> arm_compute::NormType;</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    <span class="keywordflow">switch</span> (channelType)</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    {</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437a810f43f3996922151c39b76143faeecc">NormalizationAlgorithmChannel::Across</a>: <span class="keywordflow">return</span> NormType::CROSS_MAP;</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437a37bac6dce4f46277d89bfa3003e2e39b">NormalizationAlgorithmChannel::Within</a>: <span class="keywordflow">return</span> NormType::IN_MAP_2D;</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;        <span class="keywordflow">default</span>:    <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;Unsupported normalization algorithm channel type&quot;</span>);</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    }</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;}</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;<span class="keyword">inline</span> arm_compute::FullyConnectedLayerInfo</div><div class="line"><a name="l00158"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae2e0c1d8160fadce44d479379790718e">  158</a></span>&#160;<a class="code" href="namespacearmnn.xhtml#ae2e0c1d8160fadce44d479379790718e">ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a>&amp; fullyConnectedDesc,</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;                                                            <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>* activationDesc)</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;{</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    arm_compute::FullyConnectedLayerInfo fc_info;</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    fc_info.transpose_weights = fullyConnectedDesc.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a>;</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    fc_info.activation_info = <a class="code" href="namespacearmnn.xhtml#ad701d0d29baa4266ab4d33b090aa661c">ConvertActivationDescriptorToAclActivationLayerInfo</a>(activationDesc);</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    <span class="keywordflow">return</span> fc_info;</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;}</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;<span class="keyword">inline</span> arm_compute::FullyConnectedLayerInfo</div><div class="line"><a name="l00168"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a2f12c1f572fb15978e51cf646d42d4dc">  168</a></span>&#160;<a class="code" href="namespacearmnn.xhtml#ae2e0c1d8160fadce44d479379790718e">ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a>&amp; fullyConnectedDesc,</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;        arm_compute::ActivationLayerInfo activationLayerInfo)</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;{</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    arm_compute::FullyConnectedLayerInfo fc_info;</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    fc_info.transpose_weights = fullyConnectedDesc.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a>;</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    fc_info.activation_info = activationLayerInfo;</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;    <span class="keywordflow">return</span> fc_info;</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;}</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;</div><div class="line"><a name="l00177"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae9bdcb8ac91731109dc423d6ed476204">  177</a></span>&#160;<span class="keyword">inline</span> arm_compute::InterpolationPolicy <a class="code" href="namespacearmnn.xhtml#ae9bdcb8ac91731109dc423d6ed476204">ConvertResizeMethodToAclInterpolationPolicy</a>(<a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4">ResizeMethod</a> resizeMethod)</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;{</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    <span class="keywordflow">switch</span> (resizeMethod)</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    {</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">ResizeMethod::Bilinear</a>:</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;            <span class="keywordflow">return</span> arm_compute::InterpolationPolicy::BILINEAR;</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">ResizeMethod::NearestNeighbor</a>:</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;            <span class="keywordflow">return</span> arm_compute::InterpolationPolicy::NEAREST_NEIGHBOR;</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;        <span class="keywordflow">default</span>:</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;            <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;Unsupported resize method&quot;</span>);</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    }</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;}</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00191"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae33fcc729c3eeda77a443a11f13da7ba">  191</a></span>&#160;<span class="keyword">inline</span> T <a class="code" href="namespacearmnn.xhtml#ae33fcc729c3eeda77a443a11f13da7ba">ComputeSoftmaxAclAxis</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a>&amp; softmaxDesc, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; tensor)</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;{</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;    <span class="comment">// Detect the Android default value of -1 and return the ACL default value of 0.</span></div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    <span class="keywordflow">if</span> (softmaxDesc.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a> == -1)</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    {</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;        <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    }</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dim = tensor.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(dim != 0);</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;    <span class="comment">// Currently ArmNN support axis 1.</span></div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    <span class="keyword">auto</span> aclAxis = (<span class="keyword">static_cast&lt;</span>T<span class="keyword">&gt;</span>(dim) - 1);</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;    aclAxis = aclAxis &gt; 0 ? aclAxis -1 : aclAxis;</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    <span class="keywordflow">return</span> aclAxis;</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;}</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;</div><div class="line"><a name="l00210"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a8cbabc875597b3bed0ccdc0adb289fde">  210</a></span>&#160;<span class="keyword">inline</span> std::set&lt;unsigned int&gt; <a class="code" href="namespacearmnn.xhtml#a8cbabc875597b3bed0ccdc0adb289fde">ComputeSplitAxis</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">armnn::SplitterDescriptor</a>&amp; desc, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; input)</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;{</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numSplit = desc.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>();</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions = desc.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>();</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;    std::set&lt;unsigned int&gt; splitAxis;</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numSplit; ++i)</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    {</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimIdx = 0; dimIdx &lt; numDimensions; ++dimIdx)</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;        {</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;            <span class="keywordflow">if</span> (desc.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a3c1ab47a0a319413b3a4b5757ed5b80b">GetViewSizes</a>(i)[dimIdx] != input[dimIdx])</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;            {</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;                splitAxis.insert(dimIdx);</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;            }</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;        }</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    }</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    <span class="keywordflow">return</span> splitAxis;</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;}</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;<span class="comment">/// Function to convert ArmNN axis (left to right) to ACL axis (right to left) ranging from [-rank, rank)</span></div><div class="line"><a name="l00230"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a44a3b98b37a25c995aa9e4dae7d7b456">  230</a></span>&#160;<span class="comment"></span><span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn.xhtml#a44a3b98b37a25c995aa9e4dae7d7b456">ComputeAclAxis</a>(<span class="keyword">const</span> <span class="keywordtype">int</span>&amp; armnnAxis, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; tensor)</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;{</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    <span class="keywordtype">int</span> rank = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(tensor.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(rank != 0);</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>((-1 * rank) &lt;= armnnAxis);</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(armnnAxis &lt; rank);</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    <span class="keywordtype">int</span> sign = (armnnAxis &lt; 0) ? -1 : 1;</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    <span class="keywordtype">int</span> aclAxis = sign * rank - 1  - armnnAxis;</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;    <span class="keywordflow">return</span> aclAxis;</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;}</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;<span class="comment">/// Function to convert axis to its positive equivalent value.</span></div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;<span class="comment">/// [-rank, rank) --&gt; [0, rank)</span></div><div class="line"><a name="l00246"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#aa1e65a4dea8c65b76423e121b880d059">  246</a></span>&#160;<span class="comment"></span><span class="keyword">inline</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn.xhtml#aa1e65a4dea8c65b76423e121b880d059">ComputePositiveAxis</a>(<span class="keyword">const</span> <span class="keywordtype">int</span>&amp; axis, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; tensor)</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;{</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    <span class="keywordtype">int</span> rank = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(tensor.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;    <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(rank != 0);</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;    <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>((-1 * rank) &lt;= axis);</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;    <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(axis &lt; rank);</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;    <span class="keywordtype">int</span> positiveAxis = (axis &lt; 0) ? rank + axis : axis;</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(positiveAxis);</div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;}</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;</div><div class="line"><a name="l00258"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a03ab984d93d0f240f31274499b72e6b0">  258</a></span>&#160;<span class="keyword">inline</span> arm_compute::ReductionOperation <a class="code" href="namespacearmnn.xhtml#a03ab984d93d0f240f31274499b72e6b0">ConvertReductionOperationToAcl</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml">ReduceDescriptor</a>&amp; descriptor)</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;{</div><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;    <span class="keywordflow">switch</span> (descriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml#aa57c67b1da0011b1abb30170146e870f">m_ReduceOperation</a>)</div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    {</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0aa0ec87054b5e5b7847d0d8780a01a3d5">ReduceOperation::Sum</a>:    <span class="keywordflow">return</span> arm_compute::ReductionOperation::SUM;</div><div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d">ReduceOperation::Mean</a>:   <span class="keywordflow">return</span> arm_compute::ReductionOperation::MEAN_SUM;</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233">ReduceOperation::Max</a>:    <span class="keywordflow">return</span> arm_compute::ReductionOperation::MAX;</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">ReduceOperation::Min</a>:    <span class="keywordflow">return</span> arm_compute::ReductionOperation::MIN;</div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;        <span class="keywordflow">default</span>:                         <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;Unsupported Reduction operation&quot;</span>);</div><div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;    }</div><div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;}</div><div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;} <span class="comment">// namespace armnn</span></div><div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a">armnn::ComparisonOperation::Greater</a></div></div>
<div class="ttc" id="_workload_data_8hpp_xhtml"><div class="ttname"><a href="_workload_data_8hpp.xhtml">WorkloadData.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00206">Descriptors.hpp:206</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae9bdcb8ac91731109dc423d6ed476204"><div class="ttname"><a href="namespacearmnn.xhtml#ae9bdcb8ac91731109dc423d6ed476204">armnn::ConvertResizeMethodToAclInterpolationPolicy</a></div><div class="ttdeci">arm_compute::InterpolationPolicy ConvertResizeMethodToAclInterpolationPolicy(ResizeMethod resizeMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00177">ArmComputeUtils.hpp:177</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a44a3b98b37a25c995aa9e4dae7d7b456"><div class="ttname"><a href="namespacearmnn.xhtml#a44a3b98b37a25c995aa9e4dae7d7b456">armnn::ComputeAclAxis</a></div><div class="ttdeci">int ComputeAclAxis(const int &amp;armnnAxis, const armnn::TensorInfo &amp;tensor)</div><div class="ttdoc">Function to convert ArmNN axis (left to right) to ACL axis (right to left) ranging from [-rank...</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00230">ArmComputeUtils.hpp:230</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00050">Types.hpp:50</a></div></div>
<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">armnn::SoftmaxDescriptor::m_Axis</a></div><div class="ttdeci">int m_Axis</div><div class="ttdoc">Scalar, defaulted to the last index (-1), specifying the dimension the activation will be performed o...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00154">Descriptors.hpp:154</a></div></div>
<div class="ttc" id="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754ea3237fbc8204064c106cb9080088a17cb"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754ea3237fbc8204064c106cb9080088a17cb">armnn::OutputShapeRounding::Ceiling</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5">armnn::ComparisonOperation::Equal</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::OutputShapeRounding::Floor</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad256fcf8c7f4d5a240fa47f0b56d50af"><div class="ttname"><a href="namespacearmnn.xhtml#ad256fcf8c7f4d5a240fa47f0b56d50af">armnn::ConvertPoolingAlgorithmToAclPoolingType</a></div><div class="ttdeci">arm_compute::PoolingType ConvertPoolingAlgorithmToAclPoolingType(PoolingAlgorithm poolingAlgorithm)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00119">ArmComputeUtils.hpp:119</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="structarmnn_1_1_views_descriptor_xhtml_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">armnn::ViewsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00300">Descriptors.cpp:300</a></div></div>
<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00078">Descriptors.hpp:78</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a5e783a951642781b9e7b55db06a514b7"><div class="ttname"><a href="namespacearmnn.xhtml#a5e783a951642781b9e7b55db06a514b7">armnn::CreateAclNormalizationLayerInfoForL2Normalization</a></div><div class="ttdeci">arm_compute::NormalizationLayerInfo CreateAclNormalizationLayerInfoForL2Normalization(const armnn::TensorInfo &amp;tensorInfo, armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00018">ArmComputeUtils.hpp:18</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml">armnn::QueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00028">WorkloadData.hpp:28</a></div></div>
<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml_a281fcaec86e17c97f7b8402633f6b55a"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#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.xhtml#l00404">Descriptors.hpp:404</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58ca1cfdf0e8d0c87a228c1f40d9bee7888b"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58ca1cfdf0e8d0c87a228c1f40d9bee7888b">armnn::ComparisonOperation::Less</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::ActivationFunction::LeakyReLu</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_abfb0841058a8190d30851f07eca3991f"><div class="ttname"><a href="namespacearmnn.xhtml#abfb0841058a8190d30851f07eca3991f">armnn::ConvertAdditionalInfoToAclActivationLayerInfo</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &amp;queueDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00093">ArmComputeUtils.hpp:93</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_abe18a5033f2ab9c0de82c676b48f5437"><div class="ttname"><a href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437">armnn::NormalizationAlgorithmChannel</a></div><div class="ttdeci">NormalizationAlgorithmChannel</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00149">Types.hpp:149</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_aa5baabb8e3a4aa6cbdcab419d743e747"><div class="ttname"><a href="namespacearmnn.xhtml#aa5baabb8e3a4aa6cbdcab419d743e747">armnn::ConvertNormalizationAlgorithmChannelToAclNormType</a></div><div class="ttdeci">arm_compute::NormType ConvertNormalizationAlgorithmChannelToAclNormType(NormalizationAlgorithmChannel channelType)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00146">ArmComputeUtils.hpp:146</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a></div></div>
<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml_a35546e7b56e6e972a495b48748478ede"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a35546e7b56e6e972a495b48748478ede">armnn::ViewsDescriptor::GetNumViews</a></div><div class="ttdeci">uint32_t GetNumViews() const</div><div class="ttdoc">Get the number of views. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00295">Descriptors.cpp:295</a></div></div>
<div class="ttc" id="structarmnn_1_1_reduce_descriptor_xhtml_aa57c67b1da0011b1abb30170146e870f"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml#aa57c67b1da0011b1abb30170146e870f">armnn::ReduceDescriptor::m_ReduceOperation</a></div><div class="ttdeci">ReduceOperation m_ReduceOperation</div><div class="ttdoc">Specifies the reduction operation to execute. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01324">Descriptors.hpp:1324</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8cbabc875597b3bed0ccdc0adb289fde"><div class="ttname"><a href="namespacearmnn.xhtml#a8cbabc875597b3bed0ccdc0adb289fde">armnn::ComputeSplitAxis</a></div><div class="ttdeci">std::set&lt; unsigned int &gt; ComputeSplitAxis(const armnn::SplitterDescriptor &amp;desc, const TensorShape &amp;input)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00210">ArmComputeUtils.hpp:210</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a961bbfe1db71a848eff5a1f0ab775718"><div class="ttname"><a href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">armnn::PoolingAlgorithm</a></div><div class="ttdeci">PoolingAlgorithm</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00104">Types.hpp:104</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d">armnn::ReduceOperation::Mean</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_aa1e65a4dea8c65b76423e121b880d059"><div class="ttname"><a href="namespacearmnn.xhtml#aa1e65a4dea8c65b76423e121b880d059">armnn::ComputePositiveAxis</a></div><div class="ttdeci">unsigned int ComputePositiveAxis(const int &amp;axis, const armnn::TensorInfo &amp;tensor)</div><div class="ttdoc">Function to convert axis to its positive equivalent value. </div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00246">ArmComputeUtils.hpp:246</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_afdba36f125621d775d471f0daf613df2"><div class="ttname"><a href="namespacearmnn.xhtml#afdba36f125621d775d471f0daf613df2">armnn::ConvertActivationFunctionToAclActivationFunction</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo::ActivationFunction ConvertActivationFunctionToAclActivationFunction(ActivationFunction armnnFunction)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00051">ArmComputeUtils.hpp:51</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a03ab984d93d0f240f31274499b72e6b0"><div class="ttname"><a href="namespacearmnn.xhtml#a03ab984d93d0f240f31274499b72e6b0">armnn::ConvertReductionOperationToAcl</a></div><div class="ttdeci">arm_compute::ReductionOperation ConvertReductionOperationToAcl(const ReduceDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00258">ArmComputeUtils.hpp:258</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58c"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58c">armnn::ComparisonOperation</a></div><div class="ttdeci">ComparisonOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00078">Types.hpp:78</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8f3bfacadfd6d2146d6ccd299dabc7aa"><div class="ttname"><a href="namespacearmnn.xhtml#a8f3bfacadfd6d2146d6ccd299dabc7aa">armnn::ConvertOutputShapeRoundingToAclDimensionRoundingType</a></div><div class="ttdeci">arm_compute::DimensionRoundingType ConvertOutputShapeRoundingToAclDimensionRoundingType(OutputShapeRounding rounding)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00132">ArmComputeUtils.hpp:132</a></div></div>
<div class="ttc" id="structarmnn_1_1_reduce_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml">armnn::ReduceDescriptor</a></div><div class="ttdoc">A ReduceDescriptor for the REDUCE operators. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01304">Descriptors.hpp:1304</a></div></div>
<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00389">Descriptors.hpp:389</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae2e0c1d8160fadce44d479379790718e"><div class="ttname"><a href="namespacearmnn.xhtml#ae2e0c1d8160fadce44d479379790718e">armnn::ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo</a></div><div class="ttdeci">arm_compute::FullyConnectedLayerInfo ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo(const FullyConnectedDescriptor &amp;fullyConnectedDesc, const ActivationDescriptor *activationDesc)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00158">ArmComputeUtils.hpp:158</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">armnn::ActivationFunction::SoftReLu</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a961bbfe1db71a848eff5a1f0ab775718ab1897515d548a960afe49ecf66a29021"><div class="ttname"><a href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718ab1897515d548a960afe49ecf66a29021">armnn::PoolingAlgorithm::Average</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58ca19bb0af2c3c530538cb41aff7f235b96"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58ca19bb0af2c3c530538cb41aff7f235b96">armnn::ComparisonOperation::NotEqual</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div>
<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdoc">min(a, max(b, input)) ReLu1 &amp; ReLu6. </div></div>
<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml_a865dc4f43cb0ff01a1dcf78036912fd1"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">armnn::ComparisonDescriptor::m_Operation</a></div><div class="ttdeci">ComparisonOperation m_Operation</div><div class="ttdoc">Specifies the comparison operation to execute. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00094">Descriptors.hpp:94</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754e"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754e">armnn::OutputShapeRounding</a></div><div class="ttdeci">OutputShapeRounding</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00163">Types.hpp:163</a></div></div>
<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml_a3c1ab47a0a319413b3a4b5757ed5b80b"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a3c1ab47a0a319413b3a4b5757ed5b80b">armnn::ViewsDescriptor::GetViewSizes</a></div><div class="ttdeci">const uint32_t * GetViewSizes(uint32_t idx) const</div><div class="ttdoc">Get the view sizes at the int value idx. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00340">Descriptors.cpp:340</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::ActivationFunction::Elu</a></div></div>
<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a0428f0a7927f8c29264d9c9a287840da"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a0428f0a7927f8c29264d9c9a287840da">armnn::QueueDescriptor::GetAdditionalInformation</a></div><div class="ttdeci">const T * GetAdditionalInformation() const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00039">WorkloadData.hpp:39</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml"><div class="ttname"><a href="_assert_8hpp.xhtml">Assert.hpp</a></div></div>
<div class="ttc" id="_descriptors_8hpp_xhtml"><div class="ttname"><a href="_descriptors_8hpp.xhtml">Descriptors.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_abe18a5033f2ab9c0de82c676b48f5437a37bac6dce4f46277d89bfa3003e2e39b"><div class="ttname"><a href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437a37bac6dce4f46277d89bfa3003e2e39b">armnn::NormalizationAlgorithmChannel::Within</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4">armnn::ResizeMethod</a></div><div class="ttdeci">ResizeMethod</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00119">Types.hpp:119</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::ActivationFunction::Square</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a961bbfe1db71a848eff5a1f0ab775718a6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a6a061313d22e51e0f25b7cd4dc065233">armnn::PoolingAlgorithm::Max</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a961bbfe1db71a848eff5a1f0ab775718a7e6aa2d53f6ee2b1a34b017fa403cb76"><div class="ttname"><a href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a7e6aa2d53f6ee2b1a34b017fa403cb76">armnn::PoolingAlgorithm::L2</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0aa0ec87054b5e5b7847d0d8780a01a3d5"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0aa0ec87054b5e5b7847d0d8780a01a3d5">armnn::ReduceOperation::Sum</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ac1438a97bbc2aee5cd8470d9d2a3aebc"><div class="ttname"><a href="namespacearmnn.xhtml#ac1438a97bbc2aee5cd8470d9d2a3aebc">armnn::ConvertComparisonOperationToAcl</a></div><div class="ttdeci">arm_compute::ComparisonOperation ConvertComparisonOperationToAcl(const ComparisonDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00105">ArmComputeUtils.hpp:105</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58caa4cbdbb6070a5abb35fc95ecf1e22c14"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58caa4cbdbb6070a5abb35fc95ecf1e22c14">armnn::ComparisonOperation::LessOrEqual</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233">armnn::ReduceOperation::Max</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_abe18a5033f2ab9c0de82c676b48f5437a810f43f3996922151c39b76143faeecc"><div class="ttname"><a href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437a810f43f3996922151c39b76143faeecc">armnn::NormalizationAlgorithmChannel::Across</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58ca6f2f0aefb3d22da0f3839453add5f937"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58ca6f2f0aefb3d22da0f3839453add5f937">armnn::ComparisonOperation::GreaterOrEqual</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::ActivationFunction::Linear</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::ActivationFunction::HardSwish</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae33fcc729c3eeda77a443a11f13da7ba"><div class="ttname"><a href="namespacearmnn.xhtml#ae33fcc729c3eeda77a443a11f13da7ba">armnn::ComputeSoftmaxAclAxis</a></div><div class="ttdeci">T ComputeSoftmaxAclAxis(const SoftmaxDescriptor &amp;softmaxDesc, const armnn::TensorInfo &amp;tensor)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00191">ArmComputeUtils.hpp:191</a></div></div>
<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div>
<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00139">Descriptors.hpp:139</a></div></div>
<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad701d0d29baa4266ab4d33b090aa661c"><div class="ttname"><a href="namespacearmnn.xhtml#ad701d0d29baa4266ab4d33b090aa661c">armnn::ConvertActivationDescriptorToAclActivationLayerInfo</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo ConvertActivationDescriptorToAclActivationLayerInfo(const ActivationDescriptor &amp;actDesc)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00075">ArmComputeUtils.hpp:75</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00056">Types.hpp:56</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a></div></div>
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