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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> <span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>  </div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_descriptors_8hpp.xhtml">armnn/Descriptors.hpp</a>></span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>></span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_assert_8hpp.xhtml">armnn/utility/Assert.hpp</a>></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_numeric_cast_8hpp.xhtml">armnn/utility/NumericCast.hpp</a>></span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.xhtml">armnn/backends/WorkloadData.hpp</a>></span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>  </div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <arm_compute/core/Types.h></span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <arm_compute/runtime/FunctionDescriptors.h></span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  </div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#if defined(ARMCOMPUTENEON_ENABLED)</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include "<a class="code" href="_neon_reduce_workload_8hpp.xhtml">neon/workloads/NeonReduceWorkload.hpp</a>"</span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  </div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include "<a class="code" href="_cl_reduce_workload_8hpp.xhtml">cl/workloads/ClReduceWorkload.hpp</a>"</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  </div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> {</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  </div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="keyword">inline</span> arm_compute::NormalizationLayerInfo</div>
<div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a5e783a951642781b9e7b55db06a514b7"> 28</a></span> <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>& tensorInfo,</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> {</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <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="l00032"></a><span class="lineno"> 32</span>  <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="l00033"></a><span class="lineno"> 33</span>  </div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <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="l00035"></a><span class="lineno"> 35</span>  <span class="comment">// L2 Normalization always performs the reduction along the depth axis, though. Thus, we repurpose</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="comment">// {CL|Neon}NormalizationLayers to act as depthwise L2 normalizations by carefully chosing the normalization</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="comment">// parameters.</span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <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="l00040"></a><span class="lineno"> 40</span>  <span class="comment">// {CL|Neon}NormalizationLayer when checking the derivations for the parameter values below.</span></div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  </div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <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="l00043"></a><span class="lineno"> 43</span>  <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="l00044"></a><span class="lineno"> 44</span>  <span class="comment">// ACL's normalization_layer_cross_map() CL function.</span></div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">const</span> uint32_t normSize = depth * 2u + 1u;</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  </div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="comment">// See ACL's NormalizationLayerInfo::scale_coeff() definition.</span></div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="comment">// For the reference implementation, to make alpha_ become 1, we'd have to use alpha = normSize instead.</span></div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> alpha = 1.0f;</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  </div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="comment">// Don't offset the reduction.</span></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> kappa = 0.0f;</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  </div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="comment">// pow(reduction, -0.5) = 1 / sqrt(reduction)</span></div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> beta = 0.5f;</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  </div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <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="l00058"></a><span class="lineno"> 58</span> }</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  </div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="keyword">inline</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">arm_compute::ActivationLayerInfo::ActivationFunction</a></div>
<div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#afdba36f125621d775d471f0daf613df2"> 61</a></span> <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="l00062"></a><span class="lineno"> 62</span> {</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">using</span> AclActivationFunction = <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">arm_compute::ActivationLayerInfo::ActivationFunction</a>;</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  </div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">switch</span> (armnnFunction)</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <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="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// Arm compute's 'logistic' function is non-parameterized, so it is exactly a sigmoid function.</span></div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <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="l00070"></a><span class="lineno"> 70</span>  <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="l00071"></a><span class="lineno"> 71</span>  <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="l00072"></a><span class="lineno"> 72</span>  <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="l00073"></a><span class="lineno"> 73</span>  <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="l00074"></a><span class="lineno"> 74</span>  <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="l00075"></a><span class="lineno"> 75</span>  <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="l00076"></a><span class="lineno"> 76</span>  <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="l00077"></a><span class="lineno"> 77</span>  <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="l00078"></a><span class="lineno"> 78</span>  <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="l00079"></a><span class="lineno"> 79</span>  <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="l00080"></a><span class="lineno"> 80</span>  <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">"Unsupported activation function"</span>);</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> }</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  </div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="keyword">inline</span> arm_compute::ActivationLayerInfo</div>
<div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ad701d0d29baa4266ab4d33b090aa661c"> 85</a></span> <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>& actDesc)</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> {</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <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="l00088"></a><span class="lineno"> 88</span>  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="l00089"></a><span class="lineno"> 89</span> }</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  </div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="keyword">inline</span> arm_compute::ActivationLayerInfo</div>
<div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#af6d517245110f6b1ca702da0cbbf4518"> 92</a></span> <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="l00093"></a><span class="lineno"> 93</span> {</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">if</span> (activationDescPtr != <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad701d0d29baa4266ab4d33b090aa661c">ConvertActivationDescriptorToAclActivationLayerInfo</a>(<span class="keyword">static_cast<</span><a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a><span class="keyword">></span>(</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  *activationDescPtr));</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  }</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">return</span> arm_compute::ActivationLayerInfo();</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> }</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  </div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="keyword">inline</span> arm_compute::ActivationLayerInfo</div>
<div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#abfb0841058a8190d30851f07eca3991f"> 103</a></span> <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>& queueDescriptor)</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> {</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <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><<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>>();</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  </div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">if</span> (activationDescPtr != <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  {</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad701d0d29baa4266ab4d33b090aa661c">ConvertActivationDescriptorToAclActivationLayerInfo</a>(<span class="keyword">static_cast<</span><a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a><span class="keyword">></span>(</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  *activationDescPtr));</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  }</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">return</span> arm_compute::ActivationLayerInfo();</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> }</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  </div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="keyword">inline</span> arm_compute::ActivationLayerInfo</div>
<div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#aa1e93ef5f9ee3dbb5e7faa9578f180ae"> 116</a></span> <a class="code" href="namespacearmnn.xhtml#aa1e93ef5f9ee3dbb5e7faa9578f180ae">ConvertLstmActivationFuncToAclLayerInfo</a>(uint32_t activationFunction)</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span> {</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">// For preparing the object for the class ActivationLayerInfo, we need to consider 5 situations.</span></div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">switch</span> (activationFunction)</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  {</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">case</span> 0:</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordflow">return</span> arm_compute::ActivationLayerInfo(); <span class="comment">// no activation, do nothing</span></div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">case</span> 1:</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">return</span> arm_compute::ActivationLayerInfo(arm_compute::ActivationLayerInfo::ActivationFunction::RELU);</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">case</span> 3:</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">return</span> arm_compute::ActivationLayerInfo(</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  arm_compute::ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.0);</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">case</span> 4:</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">return</span> arm_compute::ActivationLayerInfo(</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  arm_compute::ActivationLayerInfo::ActivationFunction::TANH, 1.0, 1.0);</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">case</span> 6:</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">return</span> arm_compute::ActivationLayerInfo(</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  arm_compute::ActivationLayerInfo::ActivationFunction::LOGISTIC);</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(<span class="stringliteral">"Wrong Type of Activation Function!"</span>);</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  }</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span> }</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  </div>
<div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ac1438a97bbc2aee5cd8470d9d2a3aebc"> 139</a></span> <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>& descriptor)</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span> {</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <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="l00142"></a><span class="lineno"> 142</span>  {</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <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="l00144"></a><span class="lineno"> 144</span>  <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="l00145"></a><span class="lineno"> 145</span>  <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="l00146"></a><span class="lineno"> 146</span>  <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="l00147"></a><span class="lineno"> 147</span>  <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="l00148"></a><span class="lineno"> 148</span>  <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="l00149"></a><span class="lineno"> 149</span>  <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">"Unsupported comparison function"</span>);</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  }</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span> }</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  </div>
<div class="line"><a name="l00153"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ad256fcf8c7f4d5a240fa47f0b56d50af"> 153</a></span> <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="l00154"></a><span class="lineno"> 154</span> {</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keyword">using</span> arm_compute::PoolingType;</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  </div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordflow">switch</span> (poolingAlgorithm)</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  {</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <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="l00160"></a><span class="lineno"> 160</span>  <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="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a7e6aa2d53f6ee2b1a34b017fa403cb76">PoolingAlgorithm::L2</a>: <span class="keywordflow">return</span> PoolingType::L2;</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <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">"Unsupported pooling algorithm"</span>);</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  }</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span> }</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  </div>
<div class="line"><a name="l00166"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a8f3bfacadfd6d2146d6ccd299dabc7aa"> 166</a></span> <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="l00167"></a><span class="lineno"> 167</span>  rounding)</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span> {</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keyword">using</span> arm_compute::DimensionRoundingType;</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  </div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">switch</span> (rounding)</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  {</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="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="l00174"></a><span class="lineno"> 174</span>  <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="l00175"></a><span class="lineno"> 175</span>  <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">"Unsupported Output Shape Rounding type"</span>);</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  }</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span> }</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  </div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="keyword">inline</span> arm_compute::NormType</div>
<div class="line"><a name="l00180"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#aa5baabb8e3a4aa6cbdcab419d743e747"> 180</a></span> <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="l00181"></a><span class="lineno"> 181</span> {</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">using</span> arm_compute::NormType;</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordflow">switch</span> (channelType)</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  {</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">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="l00186"></a><span class="lineno"> 186</span>  <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="l00187"></a><span class="lineno"> 187</span>  <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">"Unsupported normalization algorithm channel type"</span>);</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  }</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span> }</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  </div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="keyword">inline</span> arm_compute::FullyConnectedLayerInfo</div>
<div class="line"><a name="l00192"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae2e0c1d8160fadce44d479379790718e"> 192</a></span> <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>& fullyConnectedDesc,</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>* activationDesc)</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span> {</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  arm_compute::FullyConnectedLayerInfo fc_info;</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  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="l00197"></a><span class="lineno"> 197</span>  fc_info.activation_info = <a class="code" href="namespacearmnn.xhtml#ad701d0d29baa4266ab4d33b090aa661c">ConvertActivationDescriptorToAclActivationLayerInfo</a>(activationDesc);</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">return</span> fc_info;</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> }</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  </div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="keyword">inline</span> arm_compute::FullyConnectedLayerInfo</div>
<div class="line"><a name="l00202"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a2f12c1f572fb15978e51cf646d42d4dc"> 202</a></span> <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>& fullyConnectedDesc,</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  arm_compute::ActivationLayerInfo activationLayerInfo)</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span> {</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  arm_compute::FullyConnectedLayerInfo fc_info;</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  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="l00207"></a><span class="lineno"> 207</span>  fc_info.activation_info = activationLayerInfo;</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keywordflow">return</span> fc_info;</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span> }</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  </div>
<div class="line"><a name="l00211"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae9bdcb8ac91731109dc423d6ed476204"> 211</a></span> <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="l00212"></a><span class="lineno"> 212</span> {</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">switch</span> (resizeMethod)</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  {</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">ResizeMethod::Bilinear</a>:</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">return</span> arm_compute::InterpolationPolicy::BILINEAR;</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">ResizeMethod::NearestNeighbor</a>:</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">return</span> arm_compute::InterpolationPolicy::NEAREST_NEIGHBOR;</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"Unsupported resize method"</span>);</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  }</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span> }</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  </div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00225"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae33fcc729c3eeda77a443a11f13da7ba"> 225</a></span> <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>& softmaxDesc, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensor)</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span> {</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="comment">// Detect the Android default value of -1 and return the ACL default value of 0.</span></div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <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="l00229"></a><span class="lineno"> 229</span>  {</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">return</span> 0;</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  }</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  </div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <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="l00234"></a><span class="lineno"> 234</span>  </div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(dim != 0);</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  </div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="comment">// Currently ArmNN support axis 1.</span></div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keyword">auto</span> aclAxis = (<span class="keyword">static_cast<</span>T<span class="keyword">></span>(dim) - 1);</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  aclAxis = aclAxis > 0 ? aclAxis -1 : aclAxis;</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  </div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">return</span> aclAxis;</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span> }</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  </div>
<div class="line"><a name="l00244"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a8cbabc875597b3bed0ccdc0adb289fde"> 244</a></span> <span class="keyword">inline</span> std::set<unsigned int> <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>& desc, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& input)</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span> {</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <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="l00247"></a><span class="lineno"> 247</span>  <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="l00248"></a><span class="lineno"> 248</span>  std::set<unsigned int> splitAxis;</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  </div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numSplit; ++i)</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  {</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimIdx = 0; dimIdx < numDimensions; ++dimIdx)</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  {</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <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="l00255"></a><span class="lineno"> 255</span>  {</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  splitAxis.insert(dimIdx);</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  }</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  }</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  }</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">return</span> splitAxis;</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span> }</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <span class="comment"></span> </div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span> <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="l00264"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a44a3b98b37a25c995aa9e4dae7d7b456"> 264</a></span> <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>& armnnAxis, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensor)</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span> {</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordtype">int</span> rank = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(tensor.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  </div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(rank != 0);</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>((-1 * rank) <= armnnAxis);</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(armnnAxis < rank);</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  </div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordtype">int</span> sign = (armnnAxis < 0) ? -1 : 1;</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordtype">int</span> aclAxis = sign * rank - 1 - armnnAxis;</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  </div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">return</span> aclAxis;</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> }</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="comment"></span> </div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="comment">/// Function to convert axis to its positive equivalent value.</span></div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="comment">/// [-rank, rank) --> [0, rank)</span></div>
<div class="line"><a name="l00280"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#aa1e65a4dea8c65b76423e121b880d059"> 280</a></span> <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>& axis, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensor)</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span> {</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordtype">int</span> rank = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(tensor.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  </div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(rank != 0);</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>((-1 * rank) <= axis);</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(axis < rank);</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  </div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordtype">int</span> positiveAxis = (axis < 0) ? rank + axis : axis;</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(positiveAxis);</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span> }</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span> <span class="comment"></span> </div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span> <span class="comment">/// Utility function used to setup an arm_compute::Conv3dInfo object from convolution3d descriptor.</span></div>
<div class="line"><a name="l00293"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a855760e957668804d33c0691a802496e"> 293</a></span> <span class="comment"></span><span class="keyword">inline</span> arm_compute::Conv3dInfo <a class="code" href="namespacearmnn.xhtml#a855760e957668804d33c0691a802496e">ComputeConv3DInfo</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml">armnn::Convolution3dDescriptor</a> descriptor,</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordtype">bool</span> isFastMathEnabled,</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>* activationDescriptor)</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span> {</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keyword">const</span> arm_compute::Size3D stride{descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>, descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>, descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a>};</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keyword">const</span> arm_compute::Padding3D padding{descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>, descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>,</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>, descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>,</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a>, descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a>};</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keyword">const</span> arm_compute::Size3D dilation{descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>, descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>, descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a16543bce17aa2e4d6e81c88f74227192">m_DilationZ</a>};</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  </div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo =</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <a class="code" href="namespacearmnn.xhtml#ad701d0d29baa4266ab4d33b090aa661c">ConvertActivationDescriptorToAclActivationLayerInfo</a>(activationDescriptor);</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keyword">const</span> <span class="keyword">auto</span> roundType = arm_compute::DimensionRoundingType::FLOOR;</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  </div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">return</span> arm_compute::Conv3dInfo{stride, padding, activationInfo, dilation, roundType, isFastMathEnabled};</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span> }</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  </div>
<div class="line"><a name="l00310"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a3f2c9ea2505a2cac1d05e17e989aff2b"> 310</a></span> <span class="keyword">inline</span> arm_compute::Conv3dInfo <a class="code" href="namespacearmnn.xhtml#a855760e957668804d33c0691a802496e">ComputeConv3DInfo</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution3d_queue_descriptor.xhtml">armnn::Convolution3dQueueDescriptor</a> queueDescriptor,</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordtype">bool</span> isFastMathEnabled)</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span> {</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keyword">auto</span> descriptor = queueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>;</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keyword">const</span> arm_compute::Size3D stride{descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>, descriptor.m_StrideY, descriptor.m_StrideZ};</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keyword">const</span> arm_compute::Padding3D padding{descriptor.m_PadLeft, descriptor.m_PadRight,</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  descriptor.m_PadTop, descriptor.m_PadBottom,</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  descriptor.m_PadFront, descriptor.m_PadBack};</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keyword">const</span> arm_compute::Size3D dilation{descriptor.m_DilationX, descriptor.m_DilationY, descriptor.m_DilationZ};</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  </div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo =</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="namespacearmnn.xhtml#abfb0841058a8190d30851f07eca3991f">ConvertAdditionalInfoToAclActivationLayerInfo</a>(queueDescriptor);</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keyword">const</span> <span class="keyword">auto</span> roundType = arm_compute::DimensionRoundingType::FLOOR;</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  </div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">return</span> arm_compute::Conv3dInfo{stride, padding, activationInfo, dilation, roundType, isFastMathEnabled};</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span> }</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  </div>
<div class="line"><a name="l00327"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#adf5a024ace0dbe2af2d5b1a1b9623771"> 327</a></span> <span class="keyword">inline</span> <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">arm_compute::PaddingMode</a> <a class="code" href="namespacearmnn.xhtml#adf5a024ace0dbe2af2d5b1a1b9623771">ConvertPaddingModeToAcl</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">PaddingMode</a>& paddingMode)</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span> {</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keywordflow">switch</span> (paddingMode)</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  {</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">PaddingMode::Constant</a>: <span class="keywordflow">return</span> arm_compute::PaddingMode::CONSTANT;</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00">PaddingMode::Reflect</a>: <span class="keywordflow">return</span> arm_compute::PaddingMode::REFLECT;</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626">PaddingMode::Symmetric</a>: <span class="keywordflow">return</span> arm_compute::PaddingMode::SYMMETRIC;</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <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">"Unsupported Padding Mode"</span>);</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  }</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span> }</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  </div>
<div class="line"><a name="l00338"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a03ab984d93d0f240f31274499b72e6b0"> 338</a></span> <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>& descriptor)</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span> {</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">switch</span> (descriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml#aa57c67b1da0011b1abb30170146e870f">m_ReduceOperation</a>)</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  {</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <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="l00343"></a><span class="lineno"> 343</span>  <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="l00344"></a><span class="lineno"> 344</span>  <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="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a78d811e98514cd165dda532286610fd2">ReduceOperation::Min</a>: <span class="keywordflow">return</span> arm_compute::ReductionOperation::MIN;</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">ReduceOperation::Prod</a>: <span class="keywordflow">return</span> arm_compute::ReductionOperation::PROD;</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <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">"Unsupported Reduction operation"</span>);</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  }</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span> }</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span> <span class="comment"></span> </div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span> <span class="comment">/// Function to compute the output tensor shape based on the axes and if keepDims is set.</span></div>
<div class="line"><a name="l00352"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a9d43aa01b882d8776ab9403eea3cf779"> 352</a></span> <span class="comment"></span><span class="keyword">inline</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> <a class="code" href="namespacearmnn.xhtml#a9d43aa01b882d8776ab9403eea3cf779">ComputeReductionTensorShape</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& input,</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keyword">const</span> std::vector<uint32_t>& vAxis,</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> keepDims)</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span> {</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keyword">auto</span> reducedTensorInfo = input;</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> rank = reducedTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputRank = 0;</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="comment">// Calculate output dimension</span></div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keywordflow">if</span> (keepDims)</div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  {</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  outputRank = rank;</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  }</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (vAxis.empty())</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  {</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  outputRank = 1;</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  }</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (vAxis.size() > reducedTensorInfo.GetNumDimensions())</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {</div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.xhtml">LayerValidationException</a>(<span class="stringliteral">"ReduceLayer: Dimensions to reduce can not be bigger than input dimensions"</span>);</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  }</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  {</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  outputRank = reducedTensorInfo.GetNumDimensions() - armnn::numeric_cast<unsigned int>(vAxis.size());</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keywordflow">if</span> (outputRank == 0)</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  {</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  outputRank = 1;</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  }</div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  }</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  std::vector<unsigned int> dimSizes(outputRank, 1);</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keywordflow">if</span> (!vAxis.empty())</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  {</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="comment">// Skip the dimension that has been reduced unless keepDims is true.</span></div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIndex = 0;</div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < reducedTensorInfo.GetNumDimensions(); ++i)</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  {</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordflow">if</span> (std::find(vAxis.begin(), vAxis.end(), i) == vAxis.end())</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  {</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  dimSizes[outputIndex] = armnn::numeric_cast<unsigned int>(reducedTensorInfo.GetShape()[i]);</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  ++outputIndex;</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  }</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (keepDims)</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  {</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  dimSizes[outputIndex] = 1;</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  ++outputIndex;</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  }</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  }</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  }</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> inferredShape = <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>(outputRank, dimSizes.data());</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  reducedTensorInfo.SetShape(inferredShape);</div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keywordflow">return</span> reducedTensorInfo;</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span> }</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span> <span class="comment"></span> </div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span> <span class="comment">/// Macro function check if layer with multiple axes is supported on each backend</span></div>
<div class="line"><a name="l00405"></a><span class="lineno"><a class="line" href="_arm_compute_utils_8hpp.xhtml#a97d67174b2c48969547ba4bac79e5ea2"> 405</a></span> <span class="comment"></span><span class="preprocessor">#define IS_MULTI_AXES_REDUCE_SUPPORTED(func, input, desc, status) \</span></div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span> <span class="preprocessor"> armnn::TensorInfo inputTensorInfo = input; \</span></div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span> <span class="preprocessor"> unsigned int recalulatedAxis = 0; \</span></div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span> <span class="preprocessor"> std::vector<uint32_t> axes; \</span></div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span> <span class="preprocessor"> \</span></div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span> <span class="preprocessor"> for (unsigned int i = 0; i != desc.m_vAxis.size(); ++i) \</span></div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span> <span class="preprocessor"> { \</span></div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span> <span class="preprocessor"> axes.emplace_back(desc.m_vAxis[i]); \</span></div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span> <span class="preprocessor"> \</span></div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span> <span class="preprocessor"> const armnn::TensorInfo& reducedTensorInfo = \</span></div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span> <span class="preprocessor"> ComputeReductionTensorShape(input, axes, desc.m_KeepDims); \</span></div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span> <span class="preprocessor"> \</span></div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span> <span class="preprocessor"> std::vector<uint32_t> singleAxis(1, desc.m_vAxis[i] - recalulatedAxis); \</span></div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span> <span class="preprocessor"> \</span></div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span> <span class="preprocessor"> armnn::ReduceDescriptor newReduceDescriptor = desc; \</span></div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span> <span class="preprocessor"> newReduceDescriptor.m_vAxis.assign(singleAxis.begin(), singleAxis.end()); \</span></div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span> <span class="preprocessor"> \</span></div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span> <span class="preprocessor"> status = func(inputTensorInfo, reducedTensorInfo, newReduceDescriptor); \</span></div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span> <span class="preprocessor"> if (!status) \</span></div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span> <span class="preprocessor"> { \</span></div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span> <span class="preprocessor"> break; \</span></div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span> <span class="preprocessor"> } \</span></div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span> <span class="preprocessor"> \</span></div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span> <span class="preprocessor"> if (!desc.m_KeepDims) \</span></div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span> <span class="preprocessor"> { \</span></div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span> <span class="preprocessor"> recalulatedAxis++; \</span></div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span> <span class="preprocessor"> } \</span></div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span> <span class="preprocessor"> \</span></div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span> <span class="preprocessor"> inputTensorInfo = reducedTensorInfo; \</span></div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span> <span class="preprocessor"> }</span></div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  </div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span> } <span class="comment">// namespace armnn</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a></div><div class="ttdeci">@ Abs</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::ActivationFunction::Elu</a></div><div class="ttdeci">@ Elu</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d">armnn::ReduceOperation::Mean</a></div><div class="ttdeci">@ Mean</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754ea3237fbc8204064c106cb9080088a17cb"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754ea3237fbc8204064c106cb9080088a17cb">armnn::OutputShapeRounding::Ceiling</a></div><div class="ttdeci">@ Ceiling</div></div>
<div class="ttc" id="anamespacearmnn_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#l00218">Types.hpp:218</a></div></div>
<div class="ttc" id="astructarmnn_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="anamespacearmnn_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#l00204">Types.hpp:204</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5">armnn::ComparisonOperation::Equal</a></div><div class="ttdeci">@ Equal</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::ActivationFunction::Linear</a></div><div class="ttdeci">@ Linear</div></div>
<div class="ttc" id="anamespacearmnn_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#l00062">Types.hpp:62</a></div></div>
<div class="ttc" id="astructarmnn_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#l00177">Descriptors.hpp:177</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ad701d0d29baa4266ab4d33b090aa661c"><div class="ttname"><a href="namespacearmnn.xhtml#ad701d0d29baa4266ab4d33b090aa661c">armnn::ConvertActivationDescriptorToAclActivationLayerInfo</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo ConvertActivationDescriptorToAclActivationLayerInfo(const ActivationDescriptor &actDesc)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00085">ArmComputeUtils.hpp:85</a></div></div>
<div class="ttc" id="astructarmnn_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#l00105">Descriptors.hpp:105</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those.</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00046">Exceptions.hpp:46</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Convolution3dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00617">Descriptors.hpp:617</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::OutputShapeRounding::Floor</a></div><div class="ttdeci">@ Floor</div></div>
<div class="ttc" id="astructarmnn_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#l00036">Descriptors.hpp:36</a></div></div>
<div class="ttc" id="astructarmnn_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#l01525">Descriptors.hpp:1525</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ae33fcc729c3eeda77a443a11f13da7ba"><div class="ttname"><a href="namespacearmnn.xhtml#ae33fcc729c3eeda77a443a11f13da7ba">armnn::ComputeSoftmaxAclAxis</a></div><div class="ttdeci">T ComputeSoftmaxAclAxis(const SoftmaxDescriptor &softmaxDesc, const armnn::TensorInfo &tensor)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00225">ArmComputeUtils.hpp:225</a></div></div>
<div class="ttc" id="astructarmnn_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#l00495">Descriptors.hpp:495</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58ca19bb0af2c3c530538cb41aff7f235b96"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58ca19bb0af2c3c530538cb41aff7f235b96">armnn::ComparisonOperation::NotEqual</a></div><div class="ttdeci">@ NotEqual</div></div>
<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">armnn::Convolution3dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation along y axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00637">Descriptors.hpp:637</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_aa1e93ef5f9ee3dbb5e7faa9578f180ae"><div class="ttname"><a href="namespacearmnn.xhtml#aa1e93ef5f9ee3dbb5e7faa9578f180ae">armnn::ConvertLstmActivationFuncToAclLayerInfo</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo ConvertLstmActivationFuncToAclLayerInfo(uint32_t activationFunction)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00116">ArmComputeUtils.hpp:116</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a44a3b98b37a25c995aa9e4dae7d7b456"><div class="ttname"><a href="namespacearmnn.xhtml#a44a3b98b37a25c995aa9e4dae7d7b456">armnn::ComputeAclAxis</a></div><div class="ttdeci">int ComputeAclAxis(const int &armnnAxis, const armnn::TensorInfo &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#l00264">ArmComputeUtils.hpp:264</a></div></div>
<div class="ttc" id="astructarmnn_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#l01505">Descriptors.hpp:1505</a></div></div>
<div class="ttc" id="astructarmnn_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#l00089">Descriptors.hpp:89</a></div></div>
<div class="ttc" id="a_assert_8hpp_xhtml"><div class="ttname"><a href="_assert_8hpp.xhtml">Assert.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_aa1e65a4dea8c65b76423e121b880d059"><div class="ttname"><a href="namespacearmnn.xhtml#aa1e65a4dea8c65b76423e121b880d059">armnn::ComputePositiveAxis</a></div><div class="ttdeci">unsigned int ComputePositiveAxis(const int &axis, const armnn::TensorInfo &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#l00280">ArmComputeUtils.hpp:280</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::ActivationFunction::HardSwish</a></div><div class="ttdeci">@ HardSwish</div></div>
<div class="ttc" id="astructarmnn_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#l00244">Descriptors.hpp:244</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::Convolution3dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation along x axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00635">Descriptors.hpp:635</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a9d43aa01b882d8776ab9403eea3cf779"><div class="ttname"><a href="namespacearmnn.xhtml#a9d43aa01b882d8776ab9403eea3cf779">armnn::ComputeReductionTensorShape</a></div><div class="ttdeci">const TensorInfo ComputeReductionTensorShape(const armnn::TensorInfo &input, const std::vector< uint32_t > &vAxis, const bool keepDims)</div><div class="ttdoc">Function to compute the output tensor shape based on the axes and if keepDims is set.</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00352">ArmComputeUtils.hpp:352</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58caa4cbdbb6070a5abb35fc95ecf1e22c14"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58caa4cbdbb6070a5abb35fc95ecf1e22c14">armnn::ComparisonOperation::LessOrEqual</a></div><div class="ttdeci">@ LessOrEqual</div></div>
<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_a16543bce17aa2e4d6e81c88f74227192"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a16543bce17aa2e4d6e81c88f74227192">armnn::Convolution3dDescriptor::m_DilationZ</a></div><div class="ttdeci">uint32_t m_DilationZ</div><div class="ttdoc">Dilation along z axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00639">Descriptors.hpp:639</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">armnn::PaddingMode::Constant</a></div><div class="ttdeci">@ Constant</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a961bbfe1db71a848eff5a1f0ab775718a7e6aa2d53f6ee2b1a34b017fa403cb76"><div class="ttname"><a href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a7e6aa2d53f6ee2b1a34b017fa403cb76">armnn::PoolingAlgorithm::L2</a></div><div class="ttdeci">@ L2</div></div>
<div class="ttc" id="astructarmnn_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="anamespacearmnn_xhtml_abe18a5033f2ab9c0de82c676b48f5437a37bac6dce4f46277d89bfa3003e2e39b"><div class="ttname"><a href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437a37bac6dce4f46277d89bfa3003e2e39b">armnn::NormalizationAlgorithmChannel::Within</a></div><div class="ttdeci">@ Within</div></div>
<div class="ttc" id="anamespacearmnn_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__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::Convolution3dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00621">Descriptors.hpp:621</a></div></div>
<div class="ttc" id="a_neon_reduce_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_reduce_workload_8hpp.xhtml">NeonReduceWorkload.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a8cbabc875597b3bed0ccdc0adb289fde"><div class="ttname"><a href="namespacearmnn.xhtml#a8cbabc875597b3bed0ccdc0adb289fde">armnn::ComputeSplitAxis</a></div><div class="ttdeci">std::set< unsigned int > ComputeSplitAxis(const armnn::SplitterDescriptor &desc, const TensorShape &input)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00244">ArmComputeUtils.hpp:244</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_a83ca447892f460dabaa2f87d3dc3db61"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">armnn::Convolution3dDescriptor::m_PadFront</a></div><div class="ttdeci">uint32_t m_PadFront</div><div class="ttdoc">Padding front value in the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00625">Descriptors.hpp:625</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a78d811e98514cd165dda532286610fd2">armnn::ReduceOperation::Min</a></div><div class="ttdeci">@ Min</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ac1438a97bbc2aee5cd8470d9d2a3aebc"><div class="ttname"><a href="namespacearmnn.xhtml#ac1438a97bbc2aee5cd8470d9d2a3aebc">armnn::ConvertComparisonOperationToAcl</a></div><div class="ttdeci">arm_compute::ComparisonOperation ConvertComparisonOperationToAcl(const ComparisonDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00139">ArmComputeUtils.hpp:139</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ae2e0c1d8160fadce44d479379790718e"><div class="ttname"><a href="namespacearmnn.xhtml#ae2e0c1d8160fadce44d479379790718e">armnn::ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo</a></div><div class="ttdeci">arm_compute::FullyConnectedLayerInfo ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo(const FullyConnectedDescriptor &fullyConnectedDesc, const ActivationDescriptor *activationDesc)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00192">ArmComputeUtils.hpp:192</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution3d_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution3d_queue_descriptor.xhtml">armnn::Convolution3dQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00211">WorkloadData.hpp:211</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a></div><div class="ttdeci">@ NearestNeighbor</div></div>
<div class="ttc" id="aclassarmnn_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="astructarmnn_1_1_convolution3d_descriptor_xhtml_a5164336f6a1b15be0d434a6bbf7289da"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">armnn::Convolution3dDescriptor::m_StrideZ</a></div><div class="ttdeci">uint32_t m_StrideZ</div><div class="ttdoc">Stride value when proceeding through input for the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00633">Descriptors.hpp:633</a></div></div>
<div class="ttc" id="anamespacearmnn_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#l00147">Types.hpp:147</a></div></div>
<div class="ttc" id="anamespacearmnn_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#l00163">Types.hpp:163</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0aa0ec87054b5e5b7847d0d8780a01a3d5"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0aa0ec87054b5e5b7847d0d8780a01a3d5">armnn::ReduceOperation::Sum</a></div><div class="ttdeci">@ Sum</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div><div class="ttdeci">@ NCHW</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233">armnn::ReduceOperation::Max</a></div><div class="ttdeci">@ Max</div></div>
<div class="ttc" id="a_cl_reduce_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_reduce_workload_8hpp.xhtml">ClReduceWorkload.hpp</a></div></div>
<div class="ttc" id="astructarmnn_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#l00192">Descriptors.hpp:192</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_abe18a5033f2ab9c0de82c676b48f5437a810f43f3996922151c39b76143faeecc"><div class="ttname"><a href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437a810f43f3996922151c39b76143faeecc">armnn::NormalizationAlgorithmChannel::Across</a></div><div class="ttdeci">@ Across</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a></div><div class="ttdeci">@ Sigmoid</div></div>
<div class="ttc" id="aclassarmnn_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#l00195">Tensor.hpp:195</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a">armnn::ComparisonOperation::Greater</a></div><div class="ttdeci">@ Greater</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">armnn::ActivationFunction::SoftReLu</a></div><div class="ttdeci">@ SoftReLu</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58ca6f2f0aefb3d22da0f3839453add5f937"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58ca6f2f0aefb3d22da0f3839453add5f937">armnn::ComparisonOperation::GreaterOrEqual</a></div><div class="ttdeci">@ GreaterOrEqual</div></div>
<div class="ttc" id="anamespacearmnn_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#l00166">ArmComputeUtils.hpp:166</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a855760e957668804d33c0691a802496e"><div class="ttname"><a href="namespacearmnn.xhtml#a855760e957668804d33c0691a802496e">armnn::ComputeConv3DInfo</a></div><div class="ttdeci">arm_compute::Conv3dInfo ComputeConv3DInfo(const armnn::Convolution3dDescriptor descriptor, bool isFastMathEnabled, const ActivationDescriptor *activationDescriptor)</div><div class="ttdoc">Utility function used to setup an arm_compute::Conv3dInfo object from convolution3d descriptor.</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00293">ArmComputeUtils.hpp:293</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a></div><div class="ttdeci">@ Bilinear</div></div>
<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml">armnn::Convolution3dDescriptor</a></div><div class="ttdoc">A Convolution3dDescriptor for the Convolution3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00576">Descriptors.hpp:576</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a03ab984d93d0f240f31274499b72e6b0"><div class="ttname"><a href="namespacearmnn.xhtml#a03ab984d93d0f240f31274499b72e6b0">armnn::ConvertReductionOperationToAcl</a></div><div class="ttdeci">arm_compute::ReductionOperation ConvertReductionOperationToAcl(const ReduceDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00338">ArmComputeUtils.hpp:338</a></div></div>
<div class="ttc" id="anamespacearmnn_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#l00108">Types.hpp:108</a></div></div>
<div class="ttc" id="astructarmnn_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#l00024">WorkloadData.hpp:24</a></div></div>
<div class="ttc" id="aclassarmnn_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="anamespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">armnn::PaddingMode</a></div><div class="ttdeci">PaddingMode</div><div class="ttdoc">The padding mode controls whether the padding should be filled with constant values (Constant),...</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00197">Types.hpp:197</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_validation_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer_validation_exception.xhtml">armnn::LayerValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00105">Exceptions.hpp:105</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a5e783a951642781b9e7b55db06a514b7"><div class="ttname"><a href="namespacearmnn.xhtml#a5e783a951642781b9e7b55db06a514b7">armnn::CreateAclNormalizationLayerInfoForL2Normalization</a></div><div class="ttdeci">arm_compute::NormalizationLayerInfo CreateAclNormalizationLayerInfoForL2Normalization(const armnn::TensorInfo &tensorInfo, armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00028">ArmComputeUtils.hpp:28</a></div></div>
<div class="ttc" id="a_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div>
<div class="ttc" id="astructarmnn_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,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00061">Descriptors.hpp:61</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Convolution3dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00629">Descriptors.hpp:629</a></div></div>
<div class="ttc" id="anamespacearmnn_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#l00061">ArmComputeUtils.hpp:61</a></div></div>
<div class="ttc" id="astructarmnn_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#l00047">WorkloadData.hpp:47</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Convolution3dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00631">Descriptors.hpp:631</a></div></div>
<div class="ttc" id="aclassarmnn_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 & GetShape() 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="astructarmnn_1_1_convolution3d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::Convolution3dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00619">Descriptors.hpp:619</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::ActivationFunction::Square</a></div><div class="ttdeci">@ Square</div></div>
<div class="ttc" id="astructarmnn_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,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00059">Descriptors.hpp:59</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_abfb0841058a8190d30851f07eca3991f"><div class="ttname"><a href="namespacearmnn.xhtml#abfb0841058a8190d30851f07eca3991f">armnn::ConvertAdditionalInfoToAclActivationLayerInfo</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &queueDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00103">ArmComputeUtils.hpp:103</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00">armnn::PaddingMode::Reflect</a></div><div class="ttdeci">@ Reflect</div></div>
<div class="ttc" id="anamespacearmnn_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#l00211">ArmComputeUtils.hpp:211</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#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.xhtml#l00066">WorkloadData.hpp:66</a></div></div>
<div class="ttc" id="astructarmnn_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#l00516">Descriptors.hpp:516</a></div></div>
<div class="ttc" id="a_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="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a></div><div class="ttdeci">@ TanH</div></div>
<div class="ttc" id="anamespacearmnn_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#l00153">ArmComputeUtils.hpp:153</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_adf5a024ace0dbe2af2d5b1a1b9623771"><div class="ttname"><a href="namespacearmnn.xhtml#adf5a024ace0dbe2af2d5b1a1b9623771">armnn::ConvertPaddingModeToAcl</a></div><div class="ttdeci">arm_compute::PaddingMode ConvertPaddingModeToAcl(const PaddingMode &paddingMode)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00327">ArmComputeUtils.hpp:327</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626">armnn::PaddingMode::Symmetric</a></div><div class="ttdeci">@ Symmetric</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a961bbfe1db71a848eff5a1f0ab775718a6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a6a061313d22e51e0f25b7cd4dc065233">armnn::PoolingAlgorithm::Max</a></div><div class="ttdeci">@ Max</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a961bbfe1db71a848eff5a1f0ab775718ab1897515d548a960afe49ecf66a29021"><div class="ttname"><a href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718ab1897515d548a960afe49ecf66a29021">armnn::PoolingAlgorithm::Average</a></div><div class="ttdeci">@ Average</div></div>
<div class="ttc" id="a_descriptors_8hpp_xhtml"><div class="ttname"><a href="_descriptors_8hpp.xhtml">Descriptors.hpp</a></div></div>
<div class="ttc" id="a_numeric_cast_8hpp_xhtml"><div class="ttname"><a href="_numeric_cast_8hpp.xhtml">NumericCast.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::ReduceOperation::Prod</a></div><div class="ttdeci">@ Prod</div></div>
<div class="ttc" id="astructarmnn_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#l00063">Descriptors.hpp:63</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a></div><div class="ttdeci">@ ReLu</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a></div><div class="ttdeci">@ Sqrt</div></div>
<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_a11d5c25face9b54e90f79ee8bdc1d0fb"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">armnn::Convolution3dDescriptor::m_PadBack</a></div><div class="ttdeci">uint32_t m_PadBack</div><div class="ttdoc">Padding back value in the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00627">Descriptors.hpp:627</a></div></div>
<div class="ttc" id="a_workload_data_8hpp_xhtml"><div class="ttname"><a href="_workload_data_8hpp.xhtml">WorkloadData.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_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#l00180">ArmComputeUtils.hpp:180</a></div></div>
<div class="ttc" id="aclassarmnn_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="anamespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58ca1cfdf0e8d0c87a228c1f40d9bee7888b"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58ca1cfdf0e8d0c87a228c1f40d9bee7888b">armnn::ComparisonOperation::Less</a></div><div class="ttdeci">@ Less</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdeci">@ BoundedReLu</div><div class="ttdoc">min(a, max(b, input)) ReLu1 & ReLu6.</div></div>
<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Convolution3dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00623">Descriptors.hpp:623</a></div></div>
<div class="ttc" id="astructarmnn_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="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::ActivationFunction::LeakyReLu</a></div><div class="ttdeci">@ LeakyReLu</div></div>
<div class="ttc" id="anamespacearmnn_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#l00086">Types.hpp:86</a></div></div>
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