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<a href="_multiplication_test_impl_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <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> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_multiplication_test_impl_8hpp.html">MultiplicationTestImpl.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_elementwise_test_impl_8hpp.html">ElementwiseTestImpl.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="keyword">template</span><></div><div class="line"><a name="l00011"></a><span class="lineno"><a class="line" href="_multiplication_test_impl_8cpp.html#afe5e97a88b2d352eca70414a7d652135"> 11</a></span> std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MultiplicationQueueDescriptor>(</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a>& info,</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_multiplication_queue_descriptor.html">armnn::MultiplicationQueueDescriptor</a>& descriptor)</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="keywordflow">return</span> workloadFactory.CreateMultiplication(descriptor, info);</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> }</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="_multiplication_test_impl_8hpp.html#a89c05a959d2cdd0a75efbaa10dd618bb"> 19</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<float, 4></a> <a class="code" href="_multiplication_test_impl_8cpp.html#a89c05a959d2cdd0a75efbaa10dd618bb">MultiplicationTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 2u;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2u;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channelCount = 2u;</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 2u;</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { batchSize, channelCount, height, width };</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  std::vector<float> input0 =</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>  1, 1, 1, 1, 2, 2, 2, 2,</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  3, 3, 3, 3, 4, 4, 4, 4</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> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  std::vector<float> input1 =</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  2, 2, 2, 2, 3, 3, 3, 3,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  4, 4, 4, 4, 5, 5, 5, 5</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  };</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  std::vector<float> output =</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  2, 2, 2, 2, 6, 6, 6, 6,</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  12, 12, 12, 12, 20, 20, 20, 20</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  };</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="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>(</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  workloadFactory,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  memoryManager,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  shape,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  input0,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  shape,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  input1,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  shape,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  output);</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> </div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="_multiplication_test_impl_8hpp.html#a56613b5467a32cf602c162b2b6d28c5b"> 58</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<float, 5></a> <a class="code" href="_multiplication_test_impl_8cpp.html#a56613b5467a32cf602c162b2b6d28c5b">Multiplication5dTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 3u;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2u;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channelCount = 2u;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 2u;;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depth = 2u;</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { depth, batchSize, channelCount, height, width };</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  std::vector<float> input0 =</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  1.80f, 0.20f, 2.30f, 1.30f, 2.10f, 1.00f,</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  2.60f, 0.60f, 2.10f, 2.30f, 2.30f, 2.00f,</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  2.50f, 1.00f, 2.90f, 3.10f, 1.50f, 2.40f,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  2.80f, 1.10f, 1.00f, 3.20f, 1.00f, 2.30f,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  0.30f, 2.20f, 1.00f, 0.20f, 1.60f, 1.40f,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  0.80f, 3.20f, 0.10f, 0.10f, 3.10f, 2.10f,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  1.50f, 2.40f, 1.40f, 0.70f, 2.40f, 1.40f,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  1.60f, 1.20f, 1.90f, 0.80f, 0.00f, 0.10f,</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> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  std::vector<float> input1 =</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>  0.70f, 1.00f, 2.90f, 2.20f, 3.10f, 2.80f,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  1.80f, 2.00f, 0.50f, 2.30f, 1.20f, 2.70f,</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>  2.40f, 0.20f, 3.20f, 1.60f, 0.20f, 2.50f,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  2.30f, 0.70f, 2.70f, 1.80f, 2.90f, 2.70f,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </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>  3.20f, 3.20f, 0.70f, 1.90f, 2.70f, 2.50f,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  2.40f, 0.90f, 2.30f, 1.80f, 2.50f, 2.00f,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  1.60f, 2.20f, 1.60f, 2.00f, 0.30f, 3.20f,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  0.40f, 3.00f, 2.60f, 0.30f, 0.00f, 2.50f,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  };</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>  std::vector<float> output =</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  1.26f, 0.20f, 6.67f, 2.86f, 6.51f, 2.80f,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  4.68f, 1.20f, 1.05f, 5.29f, 2.76f, 5.40f,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  6.00f, 0.20f, 9.28f, 4.96f, 0.30f, 6.00f,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  6.44f, 0.77f, 2.70f, 5.76f, 2.90f, 6.21f,</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> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  0.96f, 7.04f, 0.70f, 0.38f, 4.32f, 3.50f,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  1.92f, 2.88f, 0.23f, 0.18f, 7.75f, 4.20f,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  2.40f, 5.28f, 2.24f, 1.40f, 0.72f, 4.48f,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  0.64f, 3.60f, 4.94f, 0.24f, 0.00f, 0.25f,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  };</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<5, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>(</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  workloadFactory,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  memoryManager,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  shape,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  input0,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  shape,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  input1,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  shape,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  output);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> }</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="_multiplication_test_impl_8hpp.html#af5dc1277647c283cd0d04e8ae79b3b5c"> 128</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<float, 4></a> <a class="code" href="_multiplication_test_impl_8cpp.html#af5dc1277647c283cd0d04e8ae79b3b5c">MultiplicationBroadcast1ElementTest</a>(</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> {</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 2 };</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 1 };</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  std::vector<float> input0 = { 1, 2, 3, 4, 5, 6, 7, 8};</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>  std::vector<float> input1 = { 2 };</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  std::vector<float> output = { 2, 4, 6, 8, 10, 12, 14, 16};</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">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>(</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  workloadFactory,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  memoryManager,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  shape0,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  input0,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  shape1,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  input1,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  shape0,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  output);</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"><a class="line" href="_multiplication_test_impl_8hpp.html#a5c5bca4cbf0f3d49933fcca03890f701"> 152</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<float, 4></a> <a class="code" href="_multiplication_test_impl_8cpp.html#a5c5bca4cbf0f3d49933fcca03890f701">MultiplicationBroadcast1DVectorTest</a>(</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> {</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 3, 3, 2 };</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 2 };</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>  std::vector<float> input0 =</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  7, 8, 9, 10, 11, 12,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  13, 14, 15, 16, 17, 18</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"> 166</span>  std::vector<float> input1 = { 1, 2 };</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  std::vector<float> output =</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  {</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  1, 4, 3, 8, 5, 12,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  7, 16, 9, 20, 11, 24,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  13, 28, 15, 32, 17, 36</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  };</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>(</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  workloadFactory,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  memoryManager,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  shape0,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  input0,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  shape1,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  input1,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  shape0,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  output);</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> </div><div class="line"><a name="l00186"></a><span class="lineno"><a class="line" href="_multiplication_test_impl_8hpp.html#afbfbaebea4554cdec9b26572c7ded900"> 186</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<uint8_t, 4></a> <a class="code" href="_multiplication_test_impl_8cpp.html#afbfbaebea4554cdec9b26572c7ded900">MultiplicationUint8Test</a>(</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</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>  constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 1u;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channels = 2u;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2u;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 3u;</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>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { batchSize, channels, height, width };</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="comment">// See dequantized values to the right</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  std::vector<uint8_t> input0 =</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>  62, 37, 3, 172, 13, 111, <span class="comment">// 244, 144, 8, 684, 48, 440,</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  188, 20, 73, 31, 23, 31 <span class="comment">// 748, 76, 288, 120, 88, 120</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  };</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="comment">// See dequantized values to the right</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  std::vector<uint8_t> input1 =</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  {</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  126, 240, 252, 183, 121, 247, <span class="comment">// 384, 726, 762, 555, 369, 747,</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  48, 115, 151, 79, 78, 97 <span class="comment">// 150, 351, 459, 243, 240, 297</span></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"> 211</span>  <span class="comment">// See dequantized values to the right</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  std::vector<uint8_t> output =</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  {</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  64, 72, 0, 255, 8, 236, <span class="comment">// 93696, 104544, 6096(clamped), 379620(clamped), 17712, 328680,</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  77, 15, 92, 16, 10, 21, <span class="comment">// 112200, 26676, 132192, 29160, 21120, 35640</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  };</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="comment">// Scale/offset chosen to have output values out of range</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  workloadFactory,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  memoryManager,</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  shape,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  input0,</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  4.0f,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  1,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  shape,</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  input1,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  3.0f,</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  -2,</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  shape,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  output,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  1366.255f,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  -5);</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> </div><div class="line"><a name="l00236"></a><span class="lineno"><a class="line" href="_multiplication_test_impl_8hpp.html#a1da87c55324e86f4d3aa7fe8c6c426d3"> 236</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<uint8_t, 4></a> <a class="code" href="_multiplication_test_impl_8cpp.html#a1da87c55324e86f4d3aa7fe8c6c426d3">MultiplicationBroadcast1ElementUint8Test</a>(</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> {</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 1 };</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  std::vector<uint8_t> input0 =</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  {</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  7, 8, 9, 10, 11, 12</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  };</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  std::vector<uint8_t> input1 = { 2 };</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  std::vector<uint8_t> output =</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  2, 4, 6, 8, 10, 12,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  14, 16, 18, 20, 22, 24</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> </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  workloadFactory,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  memoryManager,</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  shape0,</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  input0,</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  shape1,</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  input1,</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  shape0,</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  output);</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> }</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> </div><div class="line"><a name="l00268"></a><span class="lineno"><a class="line" href="_multiplication_test_impl_8hpp.html#a0a33f1e45b1e0f680cb9540884ee0ba7"> 268</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<uint8_t, 4></a> <a class="code" href="_multiplication_test_impl_8cpp.html#a0a33f1e45b1e0f680cb9540884ee0ba7">MultiplicationBroadcast1DVectorUint8Test</a>(</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</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="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 3 };</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  std::vector<uint8_t> input0 =</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>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  7, 8, 9, 10, 11, 12</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  };</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> </div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  std::vector<uint8_t> input1 = { 1, 2, 3 };</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  std::vector<uint8_t> output =</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  {</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  1, 4, 9, 4, 10, 18,</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  7, 16, 27, 10, 22, 36</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> </div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  workloadFactory,</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  memoryManager,</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  shape0,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  input0,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  shape1,</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  input1,</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  shape0,</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  output);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> }</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div><div class="line"><a name="l00300"></a><span class="lineno"><a class="line" href="_multiplication_test_impl_8hpp.html#aa6b5d52b7062c16172592551156a5b2c"> 300</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<int16_t, 4></a> <a class="code" href="_multiplication_test_impl_8cpp.html#aa6b5d52b7062c16172592551156a5b2c">MultiplicationInt16Test</a>(</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> {</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  std::vector<int16_t> input0 =</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  {</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  6, 7, 8, 9, 10, 11,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  12, 13, 14, 15, 16, 17</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  };</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  std::vector<int16_t> input1 =</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  {</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  7, 8, 9, 10, 11, 12</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  };</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> </div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  std::vector<int16_t> output =</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>  6, 14, 24, 36, 50, 66,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  84, 104, 126, 150, 176, 204</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  };</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> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QSymmS16>(</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  workloadFactory,</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  memoryManager,</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  shape,</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  input0,</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  shape,</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  input1,</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  shape,</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  output);</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> }</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> </div><div class="line"><a name="l00335"></a><span class="lineno"><a class="line" href="_multiplication_test_impl_8hpp.html#a7727cf471d69ceccbfb9af5584179eef"> 335</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<int16_t, 4></a> <a class="code" href="_multiplication_test_impl_8cpp.html#a7727cf471d69ceccbfb9af5584179eef">MultiplicationBroadcast1ElementInt16Test</a>(</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span> {</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 1 };</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  std::vector<int16_t> input0 =</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  {</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  7, 8, 9, 10, 11, 12</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  };</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span> </div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  std::vector<int16_t> input1 = { 2 };</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>  std::vector<int16_t> output =</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  {</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  2, 4, 6, 8, 10, 12,</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  14, 16, 18, 20, 22, 24</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  };</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="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QSymmS16>(</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  workloadFactory,</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  memoryManager,</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  shape0,</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  input0,</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  shape1,</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  input1,</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  shape0,</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  output);</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> </div><div class="line"><a name="l00367"></a><span class="lineno"><a class="line" href="_multiplication_test_impl_8hpp.html#a2050a2b14ee181fc2b160622a55fe6ec"> 367</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<int16_t, 4></a> <a class="code" href="_multiplication_test_impl_8cpp.html#a2050a2b14ee181fc2b160622a55fe6ec">MultiplicationBroadcast1DVectorInt16Test</a>(</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> {</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 3 };</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  std::vector<int16_t> input0 =</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  {</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  7, 8, 9, 10, 11, 12</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<int16_t> input1 = { 1, 2, 3 };</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> </div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  std::vector<int16_t> output =</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  {</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  1, 4, 9, 4, 10, 18,</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  7, 16, 27, 10, 22, 36</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> </div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QSymmS16>(</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  workloadFactory,</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  memoryManager,</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  shape0,</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  input0,</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  shape1,</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  input1,</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  shape0,</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  output);</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"><a class="line" href="_multiplication_test_impl_8hpp.html#a568471c0b7bdf6e3025c702c121f53c7"> 399</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<float,4></a> <a class="code" href="_multiplication_test_impl_8cpp.html#a79231e6296d75cc39f10dc0a18490e56">CompareMultiplicationTest</a>(</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& refWorkloadFactory)</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> {</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 16;</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 32;</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channelCount = 2;</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 5;</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo0;</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo1;</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> </div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { batchSize, channelCount, height, width };</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> </div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  inputTensorInfo0 = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, shape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  inputTensorInfo1 = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, shape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, shape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="struct_layer_test_result.html">LayerTestResult<float,4></a> comparisonResult(outputTensorInfo);</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> </div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keyword">auto</span> input0 = MakeRandomTensor<float, 4>(inputTensorInfo0, 803506992);</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keyword">auto</span> input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 54902257);</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> </div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo0);</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> </div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle0Ref = refWorkloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo0);</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <a class="code" href="structarmnn_1_1_multiplication_queue_descriptor.html">armnn::MultiplicationQueueDescriptor</a> data;</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> info;</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get());</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span> </div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <a class="code" href="structarmnn_1_1_multiplication_queue_descriptor.html">armnn::MultiplicationQueueDescriptor</a> refData = data;</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> refInfo = info;</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  SetWorkloadInput(refData, refInfo, 0, inputTensorInfo0, inputHandle0Ref.get());</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  SetWorkloadInput(refData, refInfo, 1, inputTensorInfo1, inputHandle1Ref.get());</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get());</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> </div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a756955d7436dd8f6e63cdf6367eb1694">CreateMultiplication</a>(data, info);</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a756955d7436dd8f6e63cdf6367eb1694">CreateMultiplication</a>(refData, refInfo);</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span> </div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  inputHandle0->Allocate();</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  inputHandle1->Allocate();</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  outputHandle->Allocate();</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  inputHandle0Ref->Allocate();</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  inputHandle1Ref->Allocate();</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  outputHandleRef->Allocate();</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> </div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle0.get(), input0.origin());</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), input1.origin());</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle0Ref.get(), input0.origin());</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1Ref.get(), input1.origin());</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> </div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  workload->Execute();</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  workloadRef->PostAllocationConfigure();</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  workloadRef->Execute();</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(comparisonResult.<a class="code" href="struct_layer_test_result.html#ac9d44d346bb7c89f7a7aa31d2bee947f">output</a>.origin(), outputHandle.get());</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(comparisonResult.<a class="code" href="struct_layer_test_result.html#a73610ea6c776cc66e5a78dd842a39b8b">outputExpected</a>.origin(), outputHandleRef.get());</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> </div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keywordflow">return</span> comparisonResult;</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> }</div><div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a756955d7436dd8f6e63cdf6367eb1694"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a756955d7436dd8f6e63cdf6367eb1694">armnn::IWorkloadFactory::CreateMultiplication</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateMultiplication(const MultiplicationQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01293">WorkloadFactory.cpp:1293</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00021">WorkloadFactory.hpp:21</a></div></div>
<div class="ttc" id="_multiplication_test_impl_8hpp_html"><div class="ttname"><a href="_multiplication_test_impl_8hpp.html">MultiplicationTestImpl.hpp</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00009">TensorCopyUtils.cpp:9</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
<div class="ttc" id="_multiplication_test_impl_8cpp_html_a79231e6296d75cc39f10dc0a18490e56"><div class="ttname"><a href="_multiplication_test_impl_8cpp.html#a79231e6296d75cc39f10dc0a18490e56">CompareMultiplicationTest</a></div><div class="ttdeci">LayerTestResult< float, 4 > CompareMultiplicationTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, armnn::IWorkloadFactory &refWorkloadFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_multiplication_test_impl_8cpp_source.html#l00399">MultiplicationTestImpl.cpp:399</a></div></div>
<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
<div class="ttc" id="_multiplication_test_impl_8cpp_html_aa6b5d52b7062c16172592551156a5b2c"><div class="ttname"><a href="_multiplication_test_impl_8cpp.html#aa6b5d52b7062c16172592551156a5b2c">MultiplicationInt16Test</a></div><div class="ttdeci">LayerTestResult< int16_t, 4 > MultiplicationInt16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_multiplication_test_impl_8cpp_source.html#l00300">MultiplicationTestImpl.cpp:300</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
<div class="ttc" id="_elementwise_test_impl_8hpp_html"><div class="ttname"><a href="_elementwise_test_impl_8hpp.html">ElementwiseTestImpl.hpp</a></div></div>
<div class="ttc" id="_multiplication_test_impl_8cpp_html_a89c05a959d2cdd0a75efbaa10dd618bb"><div class="ttname"><a href="_multiplication_test_impl_8cpp.html#a89c05a959d2cdd0a75efbaa10dd618bb">MultiplicationTest</a></div><div class="ttdeci">LayerTestResult< float, 4 > MultiplicationTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_multiplication_test_impl_8cpp_source.html#l00019">MultiplicationTestImpl.cpp:19</a></div></div>
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<div class="ttc" id="struct_layer_test_result_html_ac9d44d346bb7c89f7a7aa31d2bee947f"><div class="ttname"><a href="struct_layer_test_result.html#ac9d44d346bb7c89f7a7aa31d2bee947f">LayerTestResult::output</a></div><div class="ttdeci">boost::multi_array< T, n > output</div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult.hpp:40</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="_multiplication_test_impl_8cpp_html_a7727cf471d69ceccbfb9af5584179eef"><div class="ttname"><a href="_multiplication_test_impl_8cpp.html#a7727cf471d69ceccbfb9af5584179eef">MultiplicationBroadcast1ElementInt16Test</a></div><div class="ttdeci">LayerTestResult< int16_t, 4 > MultiplicationBroadcast1ElementInt16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_multiplication_test_impl_8cpp_source.html#l00335">MultiplicationTestImpl.cpp:335</a></div></div>
<div class="ttc" id="_multiplication_test_impl_8cpp_html_a56613b5467a32cf602c162b2b6d28c5b"><div class="ttname"><a href="_multiplication_test_impl_8cpp.html#a56613b5467a32cf602c162b2b6d28c5b">Multiplication5dTest</a></div><div class="ttdeci">LayerTestResult< float, 5 > Multiplication5dTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_multiplication_test_impl_8cpp_source.html#l00058">MultiplicationTestImpl.cpp:58</a></div></div>
<div class="ttc" id="structarmnn_1_1_multiplication_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_multiplication_queue_descriptor.html">armnn::MultiplicationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00222">WorkloadData.hpp:222</a></div></div>
<div class="ttc" id="_multiplication_test_impl_8cpp_html_a5c5bca4cbf0f3d49933fcca03890f701"><div class="ttname"><a href="_multiplication_test_impl_8cpp.html#a5c5bca4cbf0f3d49933fcca03890f701">MultiplicationBroadcast1DVectorTest</a></div><div class="ttdeci">LayerTestResult< float, 4 > MultiplicationBroadcast1DVectorTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_multiplication_test_impl_8cpp_source.html#l00152">MultiplicationTestImpl.cpp:152</a></div></div>
<div class="ttc" id="struct_layer_test_result_html_a73610ea6c776cc66e5a78dd842a39b8b"><div class="ttname"><a href="struct_layer_test_result.html#a73610ea6c776cc66e5a78dd842a39b8b">LayerTestResult::outputExpected</a></div><div class="ttdeci">boost::multi_array< T, n > outputExpected</div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult.hpp:41</a></div></div>
<div class="ttc" id="_multiplication_test_impl_8cpp_html_afbfbaebea4554cdec9b26572c7ded900"><div class="ttname"><a href="_multiplication_test_impl_8cpp.html#afbfbaebea4554cdec9b26572c7ded900">MultiplicationUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > MultiplicationUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_multiplication_test_impl_8cpp_source.html#l00186">MultiplicationTestImpl.cpp:186</a></div></div>
<div class="ttc" id="_multiplication_test_impl_8cpp_html_a2050a2b14ee181fc2b160622a55fe6ec"><div class="ttname"><a href="_multiplication_test_impl_8cpp.html#a2050a2b14ee181fc2b160622a55fe6ec">MultiplicationBroadcast1DVectorInt16Test</a></div><div class="ttdeci">LayerTestResult< int16_t, 4 > MultiplicationBroadcast1DVectorInt16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_multiplication_test_impl_8cpp_source.html#l00367">MultiplicationTestImpl.cpp:367</a></div></div>
<div class="ttc" id="_multiplication_test_impl_8cpp_html_a0a33f1e45b1e0f680cb9540884ee0ba7"><div class="ttname"><a href="_multiplication_test_impl_8cpp.html#a0a33f1e45b1e0f680cb9540884ee0ba7">MultiplicationBroadcast1DVectorUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > MultiplicationBroadcast1DVectorUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_multiplication_test_impl_8cpp_source.html#l00268">MultiplicationTestImpl.cpp:268</a></div></div>
<div class="ttc" id="_multiplication_test_impl_8cpp_html_af5dc1277647c283cd0d04e8ae79b3b5c"><div class="ttname"><a href="_multiplication_test_impl_8cpp.html#af5dc1277647c283cd0d04e8ae79b3b5c">MultiplicationBroadcast1ElementTest</a></div><div class="ttdeci">LayerTestResult< float, 4 > MultiplicationBroadcast1ElementTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_multiplication_test_impl_8cpp_source.html#l00128">MultiplicationTestImpl.cpp:128</a></div></div>
<div class="ttc" id="_multiplication_test_impl_8cpp_html_a1da87c55324e86f4d3aa7fe8c6c426d3"><div class="ttname"><a href="_multiplication_test_impl_8cpp.html#a1da87c55324e86f4d3aa7fe8c6c426d3">MultiplicationBroadcast1ElementUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > MultiplicationBroadcast1ElementUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_multiplication_test_impl_8cpp_source.html#l00236">MultiplicationTestImpl.cpp:236</a></div></div>
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