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<div class="title">LstmUtils.cpp</div> </div>
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<a href="_lstm_utils_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment">//#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_lstm_utils_8hpp.html">LstmUtils.hpp</a>&quot;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_base_iterator_8hpp.html">BaseIterator.hpp</a>&quot;</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_cpu_tensor_handle_8hpp.html">backendsCommon/CpuTensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment">// Helper functions ported from the Android code base</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment">// Refer to: android/external/tensorflow/tensorflow/contrib/lite/kernels/internal/reference/portable_tensor_utils.cc</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;</div><div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="_lstm_utils_8hpp.html#a389c4bbafd0fff7060cbb183f20a2134"> 16</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_lstm_utils_8cpp.html#a389c4bbafd0fff7060cbb183f20a2134">VectorBatchVectorAdd</a>(<a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; vector,</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; uint32_t vSize,</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; <a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; batchVector,</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; uint32_t nBatch,</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">armnn::Encoder&lt;float&gt;</a>&amp; outResult )</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;{</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <span class="keywordflow">for</span> (uint32_t b = 0; b &lt; nBatch; b++)</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; {</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <span class="keywordflow">for</span> (uint32_t v = 0; v &lt; vSize; v++)</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; {</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; outResult.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(batchVector.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>() + vector.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>());</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; ++outResult;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; ++vector;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; ++batchVector;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; }</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; vector -= vSize;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; }</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; batchVector -= vSize * nBatch;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; outResult -= vSize * nBatch;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;}</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="comment">// Layer norm for each batch.</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="comment">// normalization_epsilon is added to avoid divergence.</span></div><div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="_lstm_utils_8hpp.html#a0ed27dd6d6125a06bf654080f4184360"> 40</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_lstm_utils_8cpp.html#a0ed27dd6d6125a06bf654080f4184360">MeanStddevNormalization</a>(<a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; input_vector,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">armnn::Encoder&lt;float&gt;</a>&amp; output_vector,</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; uint32_t v_size,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; uint32_t n_batch,</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keywordtype">float</span> normalization_epsilon)</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;{</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordflow">for</span> (uint32_t batch = 0; batch &lt; n_batch; ++batch) {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keywordtype">float</span> sum = 0.0f;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keywordtype">float</span> sum_sq = 0.0f;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="keywordflow">for</span> (uint32_t i = 0; i &lt; v_size; ++i) {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; sum += input_vector.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>();</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; sum_sq += input_vector.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>() * input_vector.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>();</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; ++input_vector;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; input_vector -= v_size;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> mean = sum / <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span>(v_size);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordtype">float</span> stddev_inv = 0.0f;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> variance = sum_sq / <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span>(v_size) - mean * mean;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keywordflow">if</span> (variance == 0) {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; stddev_inv = 1.0f / std::sqrt(normalization_epsilon);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; stddev_inv = 1.0f / std::sqrt(variance);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; }</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keywordflow">for</span> (uint32_t i = 0; i &lt; v_size; ++i) {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; output_vector.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>((input_vector.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>() - mean) * stddev_inv);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; ++output_vector;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; ++input_vector;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; }</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="comment">// Don&#39;t reset iterator to handle next batch</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; }</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; output_vector -= v_size * n_batch;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; input_vector -= v_size * n_batch;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;}</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="_lstm_utils_8hpp.html#a4c20bc573b70e89327b334f924da97b5"> 76</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_lstm_utils_8cpp.html#a4c20bc573b70e89327b334f924da97b5">ZeroVector</a>(<a class="code" href="classarmnn_1_1_encoder.html">armnn::Encoder&lt;float&gt;</a>&amp; vector,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; uint32_t vSize)</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;{</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keywordflow">for</span> (uint32_t v = 0; v &lt; vSize; v++)</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; vector.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(0.0f);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; ++vector;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; }</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; vector -= vSize;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;}</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="_lstm_utils_8hpp.html#ab93a2c78551c3d3aba8ddcafb792a36d"> 87</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_lstm_utils_8cpp.html#ab93a2c78551c3d3aba8ddcafb792a36d">MatrixBatchVectorMultiplyAccumulate</a>(<a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; matrix,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; uint32_t mRows,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; uint32_t mCols,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; vector,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; uint32_t nBatch,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">armnn::Encoder&lt;float&gt;</a>&amp; outResult)</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;{</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordflow">for</span> (uint32_t b = 0; b &lt; nBatch; b++)</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keywordflow">for</span> (uint32_t r = 0; r &lt; mRows; r++)</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; vector += b * mCols;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="keywordflow">for</span> (uint32_t c = 0; c &lt; mCols; c++)</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; {</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; outResult.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(outResult.<a class="code" href="classarmnn_1_1_encoder.html#ac729108381e2340bea12877971713ecb">Get</a>() + matrix.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>() * vector.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>());</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; ++matrix;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; ++vector;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; outResult += 1;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; vector -= (b+1) * mCols;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; }</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; matrix -= (mRows * mCols);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; outResult -= (mRows * nBatch);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;}</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;</div><div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="_lstm_utils_8hpp.html#a8c4a96233c9b62c76d611316da11124b"> 113</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_lstm_utils_8cpp.html#a8c4a96233c9b62c76d611316da11124b">VectorBatchVectorAssign</a>(<a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; vector,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; uint32_t vSize,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; uint32_t nBatch,</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">armnn::Encoder&lt;float&gt;</a>&amp; outBatchVector)</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;{</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="keywordflow">for</span> (uint32_t b = 0; b &lt; nBatch; b++)</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordflow">for</span> (uint32_t v = 0; v &lt; vSize; v++)</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; outBatchVector.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(vector.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>());</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; ++outBatchVector;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; ++vector;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; }</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; vector -= vSize;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; outBatchVector -= (nBatch * vSize);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;}</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="_lstm_utils_8hpp.html#a796323e16216b880043dc5ebbaa2372b"> 131</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_lstm_utils_8cpp.html#a796323e16216b880043dc5ebbaa2372b">VectorBatchVectorCwiseProductAccumulate</a>(<a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; vector,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; uint32_t vSize,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; batchVector,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; uint32_t nBatch,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">armnn::Encoder&lt;float&gt;</a>&amp; outResult)</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;{</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="keywordflow">for</span> (uint32_t b = 0; b &lt; nBatch; b++)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keywordflow">for</span> (uint32_t v = 0; v &lt; vSize; v++)</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; {</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; outResult.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(outResult.<a class="code" href="classarmnn_1_1_encoder.html#ac729108381e2340bea12877971713ecb">Get</a>() + vector.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>() * batchVector.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>());</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; ++outResult;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; ++vector;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; ++batchVector;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; }</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; vector -= vSize;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; }</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; batchVector -= vSize * nBatch;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; outResult -= vSize * nBatch;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;}</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;</div><div class="line"><a name="l00152"></a><span class="lineno"><a class="line" href="_lstm_utils_8hpp.html#a1d7ad9698b02282a57fdb17b3af745f9"> 152</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_lstm_utils_8cpp.html#a1d7ad9698b02282a57fdb17b3af745f9">VectorBatchVectorCwiseProduct</a>(<a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; vector,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; uint32_t vSize,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; batchVector,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; uint32_t nBatch,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">armnn::Encoder&lt;float&gt;</a>&amp; outResult)</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160;{</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keywordflow">for</span> (uint32_t b = 0; b &lt; nBatch; b++)</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; {</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <span class="keywordflow">for</span> (uint32_t v = 0; v &lt; vSize; v++)</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; {</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; outResult.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(vector.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>() * batchVector.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>());</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; ++outResult;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; ++vector;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; ++batchVector;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; }</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; vector -= vSize;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; batchVector -= vSize * nBatch;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; outResult -= vSize * nBatch;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;}</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;</div><div class="line"><a name="l00173"></a><span class="lineno"><a class="line" href="_lstm_utils_8hpp.html#aca7bd1dff180b6a5de894537f8220793"> 173</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_lstm_utils_8cpp.html#aca7bd1dff180b6a5de894537f8220793">Sub1Vector</a>(<a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; vector,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; uint32_t vSize,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">armnn::Encoder&lt;float&gt;</a>&amp; result)</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160;{</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <span class="keywordflow">for</span> (uint32_t v = 0; v &lt; vSize; v++)</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; result.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(1.0f - vector.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>());</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; ++vector;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; ++result;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; }</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; vector -= vSize;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; result -= vSize;</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160;}</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160;</div><div class="line"><a name="l00187"></a><span class="lineno"><a class="line" href="_lstm_utils_8hpp.html#a5b81dc0a1a9a2bccab8bb79dfa3e77b7"> 187</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_lstm_utils_8cpp.html#a5b81dc0a1a9a2bccab8bb79dfa3e77b7">VectorVectorCwiseProduct</a>(<a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; vector1,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; vector2,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; uint32_t vSize,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">armnn::Encoder&lt;float&gt;</a>&amp; outResult)</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160;{</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <span class="keywordflow">for</span> (uint32_t v = 0; v &lt; vSize; v++)</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; {</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; outResult.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(vector1.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>() * vector2.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>());</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; ++outResult;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; ++vector1;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; ++vector2;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; }</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; outResult -= vSize;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; vector1 -= vSize;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; vector2 -= vSize;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160;}</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;</div><div class="line"><a name="l00204"></a><span class="lineno"><a class="line" href="_lstm_utils_8hpp.html#a2e653f948d93f4177f267a7b1b4ed47d"> 204</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_lstm_utils_8cpp.html#a2e653f948d93f4177f267a7b1b4ed47d">VectorVectorCwiseProductAccumulate</a>(<a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; vector1,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; vector2,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; uint32_t vSize,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">armnn::Encoder&lt;float&gt;</a>&amp; outResult)</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160;{</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <span class="keywordflow">for</span> (uint32_t v = 0; v &lt; vSize; v++)</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; {</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; outResult.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(outResult.<a class="code" href="classarmnn_1_1_encoder.html#ac729108381e2340bea12877971713ecb">Get</a>() + vector1.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>() * vector2.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>());</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; ++outResult;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; ++vector1;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; ++vector2;</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; }</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; outResult -= vSize;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; vector1 -= vSize;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; vector2 -= vSize;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;}</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;</div><div class="line"><a name="l00221"></a><span class="lineno"><a class="line" href="_lstm_utils_8hpp.html#ad5b8e4843a3b303d5b56c0a70dbfd1bf"> 221</a></span>&#160;<span class="keywordtype">float</span> <a class="code" href="_lstm_utils_8cpp.html#ad5b8e4843a3b303d5b56c0a70dbfd1bf">Clip</a>(<span class="keywordtype">float</span> f,</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <span class="keywordtype">float</span> absLimit)</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160;{</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; <span class="keywordtype">float</span> result = (absLimit &lt; f) ? absLimit : f;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; result = (-absLimit &gt; result) ? -absLimit : result;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160;}</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160;</div><div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="_lstm_utils_8hpp.html#a117781e8e9b7321722bbdd8ff74b484a"> 229</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_lstm_utils_8cpp.html#a117781e8e9b7321722bbdd8ff74b484a">ClipVector</a>(<a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; vector,</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; uint32_t vSize,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; <span class="keywordtype">float</span> absLimit,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">armnn::Encoder&lt;float&gt;</a>&amp; outResult)</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;{</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; <span class="keywordflow">for</span> (uint32_t v = 0; v &lt; vSize; v++)</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; {</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; outResult.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(<a class="code" href="_lstm_utils_8cpp.html#ad5b8e4843a3b303d5b56c0a70dbfd1bf">Clip</a>(vector.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>(), absLimit));</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; ++vector;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; ++outResult;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; }</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; vector -= vSize;</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; outResult -= vSize;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;}</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160;</div><div class="line"><a name="l00244"></a><span class="lineno"><a class="line" href="_lstm_utils_8hpp.html#a00d8a623c04f1120f6fee3fe38d1cee9"> 244</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_lstm_utils_8cpp.html#a00d8a623c04f1120f6fee3fe38d1cee9">CopyVector</a>(<a class="code" href="classarmnn_1_1_decoder.html">armnn::Decoder&lt;float&gt;</a>&amp; vector,</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; uint32_t vSize,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">armnn::Encoder&lt;float&gt;</a>&amp; outResult)</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160;{</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <span class="keywordflow">for</span> (uint32_t v = 0; v &lt; vSize; v++)</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; {</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; outResult.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(vector.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>());</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; ++outResult;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; ++vector;</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; }</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; outResult -= vSize;</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; vector -= vSize;</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160;}</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160;</div><div class="line"><a name="l00258"></a><span class="lineno"><a class="line" href="_lstm_utils_8hpp.html#afc83b9418e9721cee21de245cb8533de"> 258</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_lstm_utils_8cpp.html#afc83b9418e9721cee21de245cb8533de">SetActivationParameters</a>(uint32_t activation,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a>&amp; outArmnnActivation,</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; <span class="keywordtype">float</span>&amp; outA,</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <span class="keywordtype">float</span>&amp; outB)</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160;{</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; <span class="keywordflow">switch</span> (activation)</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; {</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; <span class="keywordflow">case</span> 0: <span class="comment">// None</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; outA = 0;</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; outB = 0;</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <span class="keywordflow">return</span>;</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keywordflow">case</span> 1: <span class="comment">// Relu</span></div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; outArmnnActivation = <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a>;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; outA = 0;</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; outB = 0;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keywordflow">return</span>;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160;</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; <span class="keywordflow">case</span> 3: <span class="comment">// Relu6</span></div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; outArmnnActivation = <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>;</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; outA = 6;</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; outB = 0;</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; <span class="keywordflow">return</span>;</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160;</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; <span class="keywordflow">case</span> 4: <span class="comment">// Tanh</span></div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; outArmnnActivation = <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a>;</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; outA = 1;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; outB = 1;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; <span class="keywordflow">return</span>;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160;</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; <span class="keywordflow">case</span> 6: <span class="comment">// Sigmoid</span></div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; outArmnnActivation = <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a>;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; outA = 0;</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; outB = 0;</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <span class="keywordflow">return</span>;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160;</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;Unsupported activation function: &quot;</span> + std::to_string(activation));</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; }</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160;}</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160;</div><div class="line"><a name="l00299"></a><span class="lineno"><a class="line" href="_lstm_utils_8hpp.html#a1aef5d233d1f569f34d6c36bdf5ae9e5"> 299</a></span>&#160;std::unique_ptr&lt;armnn::ScopedCpuTensorHandle&gt; <a class="code" href="_lstm_utils_8cpp.html#a1aef5d233d1f569f34d6c36bdf5ae9e5">AssignScopedCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html">armnn::ConstCpuTensorHandle</a>* ptr)</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160;{</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; <span class="keywordflow">if</span> (!ptr)</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; {</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; }</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160;</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(*ptr);</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160;}</div><div class="ttc" id="_lstm_utils_8cpp_html_a796323e16216b880043dc5ebbaa2372b"><div class="ttname"><a href="_lstm_utils_8cpp.html#a796323e16216b880043dc5ebbaa2372b">VectorBatchVectorCwiseProductAccumulate</a></div><div class="ttdeci">void VectorBatchVectorCwiseProductAccumulate(armnn::Decoder&lt; float &gt; &amp;vector, uint32_t vSize, armnn::Decoder&lt; float &gt; &amp;batchVector, uint32_t nBatch, armnn::Encoder&lt; float &gt; &amp;outResult)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00131">LstmUtils.cpp:131</a></div></div>
<div class="ttc" id="_lstm_utils_8cpp_html_a8c4a96233c9b62c76d611316da11124b"><div class="ttname"><a href="_lstm_utils_8cpp.html#a8c4a96233c9b62c76d611316da11124b">VectorBatchVectorAssign</a></div><div class="ttdeci">void VectorBatchVectorAssign(armnn::Decoder&lt; float &gt; &amp;vector, uint32_t vSize, uint32_t nBatch, armnn::Encoder&lt; float &gt; &amp;outBatchVector)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00113">LstmUtils.cpp:113</a></div></div>
<div class="ttc" id="_lstm_utils_8cpp_html_a0ed27dd6d6125a06bf654080f4184360"><div class="ttname"><a href="_lstm_utils_8cpp.html#a0ed27dd6d6125a06bf654080f4184360">MeanStddevNormalization</a></div><div class="ttdeci">void MeanStddevNormalization(armnn::Decoder&lt; float &gt; &amp;input_vector, armnn::Encoder&lt; float &gt; &amp;output_vector, uint32_t v_size, uint32_t n_batch, float normalization_epsilon)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00040">LstmUtils.cpp:40</a></div></div>
<div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a></div></div>
<div class="ttc" id="_lstm_utils_8cpp_html_a1aef5d233d1f569f34d6c36bdf5ae9e5"><div class="ttname"><a href="_lstm_utils_8cpp.html#a1aef5d233d1f569f34d6c36bdf5ae9e5">AssignScopedCpuTensorHandle</a></div><div class="ttdeci">std::unique_ptr&lt; armnn::ScopedCpuTensorHandle &gt; AssignScopedCpuTensorHandle(const armnn::ConstCpuTensorHandle *ptr)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00299">LstmUtils.cpp:299</a></div></div>
<div class="ttc" id="_lstm_utils_8cpp_html_a389c4bbafd0fff7060cbb183f20a2134"><div class="ttname"><a href="_lstm_utils_8cpp.html#a389c4bbafd0fff7060cbb183f20a2134">VectorBatchVectorAdd</a></div><div class="ttdeci">void VectorBatchVectorAdd(armnn::Decoder&lt; float &gt; &amp;vector, uint32_t vSize, armnn::Decoder&lt; float &gt; &amp;batchVector, uint32_t nBatch, armnn::Encoder&lt; float &gt; &amp;outResult)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00016">LstmUtils.cpp:16</a></div></div>
<div class="ttc" id="_lstm_utils_8cpp_html_ab93a2c78551c3d3aba8ddcafb792a36d"><div class="ttname"><a href="_lstm_utils_8cpp.html#ab93a2c78551c3d3aba8ddcafb792a36d">MatrixBatchVectorMultiplyAccumulate</a></div><div class="ttdeci">void MatrixBatchVectorMultiplyAccumulate(armnn::Decoder&lt; float &gt; &amp;matrix, uint32_t mRows, uint32_t mCols, armnn::Decoder&lt; float &gt; &amp;vector, uint32_t nBatch, armnn::Encoder&lt; float &gt; &amp;outResult)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00087">LstmUtils.cpp:87</a></div></div>
<div class="ttc" id="_lstm_utils_8hpp_html"><div class="ttname"><a href="_lstm_utils_8hpp.html">LstmUtils.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00054">Types.hpp:54</a></div></div>
<div class="ttc" id="_lstm_utils_8cpp_html_aca7bd1dff180b6a5de894537f8220793"><div class="ttname"><a href="_lstm_utils_8cpp.html#aca7bd1dff180b6a5de894537f8220793">Sub1Vector</a></div><div class="ttdeci">void Sub1Vector(armnn::Decoder&lt; float &gt; &amp;vector, uint32_t vSize, armnn::Encoder&lt; float &gt; &amp;result)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00173">LstmUtils.cpp:173</a></div></div>
<div class="ttc" id="_lstm_utils_8cpp_html_a1d7ad9698b02282a57fdb17b3af745f9"><div class="ttname"><a href="_lstm_utils_8cpp.html#a1d7ad9698b02282a57fdb17b3af745f9">VectorBatchVectorCwiseProduct</a></div><div class="ttdeci">void VectorBatchVectorCwiseProduct(armnn::Decoder&lt; float &gt; &amp;vector, uint32_t vSize, armnn::Decoder&lt; float &gt; &amp;batchVector, uint32_t nBatch, armnn::Encoder&lt; float &gt; &amp;outResult)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00152">LstmUtils.cpp:152</a></div></div>
<div class="ttc" id="_lstm_utils_8cpp_html_a117781e8e9b7321722bbdd8ff74b484a"><div class="ttname"><a href="_lstm_utils_8cpp.html#a117781e8e9b7321722bbdd8ff74b484a">ClipVector</a></div><div class="ttdeci">void ClipVector(armnn::Decoder&lt; float &gt; &amp;vector, uint32_t vSize, float absLimit, armnn::Encoder&lt; float &gt; &amp;outResult)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00229">LstmUtils.cpp:229</a></div></div>
<div class="ttc" id="_lstm_utils_8cpp_html_a00d8a623c04f1120f6fee3fe38d1cee9"><div class="ttname"><a href="_lstm_utils_8cpp.html#a00d8a623c04f1120f6fee3fe38d1cee9">CopyVector</a></div><div class="ttdeci">void CopyVector(armnn::Decoder&lt; float &gt; &amp;vector, uint32_t vSize, armnn::Encoder&lt; float &gt; &amp;outResult)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00244">LstmUtils.cpp:244</a></div></div>
<div class="ttc" id="classarmnn_1_1_decoder_html"><div class="ttname"><a href="classarmnn_1_1_decoder.html">armnn::Decoder&lt; float &gt;</a></div></div>
<div class="ttc" id="_lstm_utils_8cpp_html_ad5b8e4843a3b303d5b56c0a70dbfd1bf"><div class="ttname"><a href="_lstm_utils_8cpp.html#ad5b8e4843a3b303d5b56c0a70dbfd1bf">Clip</a></div><div class="ttdeci">float Clip(float f, float absLimit)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00221">LstmUtils.cpp:221</a></div></div>
<div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a></div></div>
<div class="ttc" id="_base_iterator_8hpp_html"><div class="ttname"><a href="_base_iterator_8hpp.html">BaseIterator.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_encoder_html"><div class="ttname"><a href="classarmnn_1_1_encoder.html">armnn::Encoder&lt; float &gt;</a></div></div>
<div class="ttc" id="_lstm_utils_8cpp_html_a4c20bc573b70e89327b334f924da97b5"><div class="ttname"><a href="_lstm_utils_8cpp.html#a4c20bc573b70e89327b334f924da97b5">ZeroVector</a></div><div class="ttdeci">void ZeroVector(armnn::Encoder&lt; float &gt; &amp;vector, uint32_t vSize)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00076">LstmUtils.cpp:76</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">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.html#l00046">Exceptions.hpp:46</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.html">armnn::ConstCpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00027">CpuTensorHandle.hpp:27</a></div></div>
<div class="ttc" id="_cpu_tensor_handle_8hpp_html"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.html">CpuTensorHandle.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdoc">min(a, max(b, input)) </div></div>
<div class="ttc" id="classarmnn_1_1_decoder_html_ac729108381e2340bea12877971713ecb"><div class="ttname"><a href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">armnn::Decoder::Get</a></div><div class="ttdeci">virtual IType Get() const =0</div></div>
<div class="ttc" id="_lstm_utils_8cpp_html_a2e653f948d93f4177f267a7b1b4ed47d"><div class="ttname"><a href="_lstm_utils_8cpp.html#a2e653f948d93f4177f267a7b1b4ed47d">VectorVectorCwiseProductAccumulate</a></div><div class="ttdeci">void VectorVectorCwiseProductAccumulate(armnn::Decoder&lt; float &gt; &amp;vector1, armnn::Decoder&lt; float &gt; &amp;vector2, uint32_t vSize, armnn::Encoder&lt; float &gt; &amp;outResult)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00204">LstmUtils.cpp:204</a></div></div>
<div class="ttc" id="_lstm_utils_8cpp_html_afc83b9418e9721cee21de245cb8533de"><div class="ttname"><a href="_lstm_utils_8cpp.html#afc83b9418e9721cee21de245cb8533de">SetActivationParameters</a></div><div class="ttdeci">void SetActivationParameters(uint32_t activation, armnn::ActivationFunction &amp;outArmnnActivation, float &amp;outA, float &amp;outB)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00258">LstmUtils.cpp:258</a></div></div>
<div class="ttc" id="classarmnn_1_1_encoder_html_ae3b62b846a9c239f332830b9e36030eb"><div class="ttname"><a href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">armnn::Encoder::Set</a></div><div class="ttdeci">virtual void Set(IType right)=0</div></div>
<div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a></div></div>
<div class="ttc" id="_lstm_utils_8cpp_html_a5b81dc0a1a9a2bccab8bb79dfa3e77b7"><div class="ttname"><a href="_lstm_utils_8cpp.html#a5b81dc0a1a9a2bccab8bb79dfa3e77b7">VectorVectorCwiseProduct</a></div><div class="ttdeci">void VectorVectorCwiseProduct(armnn::Decoder&lt; float &gt; &amp;vector1, armnn::Decoder&lt; float &gt; &amp;vector2, uint32_t vSize, armnn::Encoder&lt; float &gt; &amp;outResult)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00187">LstmUtils.cpp:187</a></div></div>
<div class="ttc" id="classarmnn_1_1_encoder_html_ac729108381e2340bea12877971713ecb"><div class="ttname"><a href="classarmnn_1_1_encoder.html#ac729108381e2340bea12877971713ecb">armnn::Encoder::Get</a></div><div class="ttdeci">virtual IType Get() const =0</div></div>
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