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| <a href="_reference_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="_reference_8h.xhtml">Reference.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="_globals_8h.xhtml">Globals.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="tests_2validation_2_helpers_8h.xhtml">Helpers.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_reference_c_p_p_8h.xhtml">ReferenceCPP.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_tensor_library_8h.xhtml">TensorLibrary.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="tests_2validation_2_helpers_8h.xhtml">validation/Helpers.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <random></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1test.xhtml">arm_compute::test</a>;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">namespace </span>test</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> <span class="keyword">namespace </span>validation</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> {</div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#a3d1df250d5d15f22e84e7282bd471405"> 42</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_integral_image(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape)</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src, 0);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a068d9be2e13dddcb8c8ab9f91e934a75">ReferenceCPP::integral_image</a>(ref_src, ref_dst);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> }</div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#ad3248d61de6fcfdd30f404267a1e4083"> 56</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_absolute_difference(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_in0, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_in1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_out)</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src1 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_in0);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src2 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_in1);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_out);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src1, 0);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src2, 1);</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="comment">// Compute reference</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#ab508d3cd11ab140d782c716debfcb25f">ReferenceCPP::absolute_difference</a>(ref_src1, ref_src2, ref_dst);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> }</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#a205f1eb20b9c13265aff28de739c3c10"> 73</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_accumulate(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape)</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src, 0);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_dst, 1);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">ReferenceCPP::accumulate</a>(ref_src, ref_dst);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> }</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#a3ec8f59456aaa8ffd8d09eb3919bd67f"> 89</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_accumulate_squared(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, uint32_t shift)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// ref_dst tensor filled with non-negative values</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src, 0);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_dst, 1, static_cast<int16_t>(0), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<int16_t>::max</a>());</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>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="accumulate_8cl.xhtml#aa6efbf07a1932e211879a0df54e9f50f">ReferenceCPP::accumulate_squared</a>(ref_src, ref_dst, shift);</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>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#aacf28f4a955e131ec74a3baa8bc5ade1"> 106</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_accumulate_weighted(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, <span class="keywordtype">float</span> alpha)</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src, 0);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_dst, 1);</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>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="accumulate_8cl.xhtml#ab64020e40663a4356d6037079d7292fb">ReferenceCPP::accumulate_weighted</a>(ref_src, ref_dst, alpha);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> }</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#ae6924a9d2a83fbc410748d8a06fbca51"> 122</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_arithmetic_addition(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_in0, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_in1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_out, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> convert_policy)</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> {</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src1 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_in0);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src2 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_in1);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_out);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src1, 0);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src2, 1);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a0500e22e76099c68d3e41b46e0cdd54c">ReferenceCPP::arithmetic_addition</a>(ref_src1, ref_src2, ref_dst, convert_policy);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> }</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#ae46c0e47feca74d5aef1ede0c433fcf1"> 139</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_arithmetic_subtraction(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_in0, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_in1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_out, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> convert_policy)</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="comment">// Create reference</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src1 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_in0);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src2 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_in1);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_out);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src1, 0);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src2, 1);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a135ce9546985c784175156c32fa014af">ReferenceCPP::arithmetic_subtraction</a>(ref_src1, ref_src2, ref_dst, convert_policy);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> }</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div><div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#ad2bf16b19af4bdfd5abee6d05792c320"> 156</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_bitwise_and(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape)</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> {</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src1 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src2 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src1, 0);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src2, 1);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="bitwise__op_8cl.xhtml#a24014fd2f171ae758db4eecffab00aac">ReferenceCPP::bitwise_and</a>(ref_src1, ref_src2, ref_dst);</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>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> }</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00173"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#a541f369d7d288cc118bb058d51e29782"> 173</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_bitwise_or(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape)</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="comment">// Create reference</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src1 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src2 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src1, 0);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src2, 1);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="bitwise__op_8cl.xhtml#a4b8ef6799be6362c31b39a159cd9f48b">ReferenceCPP::bitwise_or</a>(ref_src1, ref_src2, ref_dst);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> }</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> </div><div class="line"><a name="l00190"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#afdd81b30b87766f79dc62a575b0beebc"> 190</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_bitwise_xor(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape)</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> {</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src1 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src2 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</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">// Fill reference</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src1, 0);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src2, 1);</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="bitwise__op_8cl.xhtml#a799450deb5ec2b1f8402eb3302b51996">ReferenceCPP::bitwise_xor</a>(ref_src1, ref_src2, ref_dst);</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="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> }</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#abd4179146d726e3fa6e196fa23f3c5d4"> 207</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_bitwise_not(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape)</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> {</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src, 0);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="bitwise__op_8cl.xhtml#a86ffd3a69cd5489dc19c3b284c87754f">ReferenceCPP::bitwise_not</a>(ref_src, ref_dst);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> }</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> </div><div class="line"><a name="l00222"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#ac7d18cb004ae29dfea24ec952e6faa78"> 222</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_box3x3(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape)</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> {</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> </div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src, 0);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a934ba47d23b89b5868c6fad054e5a59d">ReferenceCPP::box3x3</a>(ref_src, ref_dst);</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> }</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div><div class="line"><a name="l00237"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#ae2927e68b74c690e2b7c2780fd32ee5b"> 237</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_depth_convert(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_in, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_out, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> policy, uint32_t shift, uint32_t fixed_point_position)</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> {</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_in, 1, fixed_point_position);</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_out, 1, fixed_point_position);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src, 0);</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>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a4485bbf8646087afcb6d724e613da68f">ReferenceCPP::depth_convert</a>(ref_src, ref_dst, policy, shift);</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>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> }</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div><div class="line"><a name="l00251"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#ab3c09c503cb3e94e4475502f4b005a69"> 251</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_gemm(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &src_shape1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &src_shape2, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &src_shape3,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &dst_shape, <span class="keywordtype">float</span> alpha, <span class="keywordtype">float</span> beta, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt, <span class="keywordtype">int</span> fixed_point_position)</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> {</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> src1 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(src_shape1, dt, 1, fixed_point_position);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> src2 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(src_shape2, dt, 1, fixed_point_position);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> src3 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(src_shape3, dt, 1, fixed_point_position);</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(dst_shape, dt, 1, fixed_point_position);</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">if</span>(dt == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  {</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  std::uniform_real_distribution<> distribution(-1.0f, 1.0f);</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(src1, distribution, 0);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(src2, distribution, 1);</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(src3, distribution, 2);</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>  <span class="keywordflow">else</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  {</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(src1, 0);</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(src2, 1);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(src3, 2);</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  }</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> </div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#aca1385f622ea543d14bdd997a2bcebcf">ReferenceCPP::gemm</a>(src1, src2, src3, dst, alpha, beta);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">return</span> dst;</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> }</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> </div><div class="line"><a name="l00280"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#ab94a052a7a342ed76c16bedc97befa87"> 280</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_pixel_wise_multiplication(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_in0, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_in1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_out, <span class="keywordtype">float</span> scale, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> convert_policy,</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <a class="code" href="namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50be">RoundingPolicy</a> rounding_policy)</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>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src1 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_in0);</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src2 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_in1);</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_out);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src1, 0);</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src2, 1);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#acee95d0eabaf4dc59612123c1fbbffb1">ReferenceCPP::pixel_wise_multiplication</a>(ref_src1, ref_src2, ref_dst, scale, convert_policy, rounding_policy);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> }</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> </div><div class="line"><a name="l00298"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#afa783291c0d23cb22ffc494298eef307"> 298</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_fixed_point_pixel_wise_multiplication(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_in0, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_in1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_out, <span class="keywordtype">float</span> scale, <span class="keywordtype">int</span> fixed_point_position,</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> convert_policy, <a class="code" href="namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50be">RoundingPolicy</a> rounding_policy)</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> {</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src1 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_in0, 1, fixed_point_position);</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src2 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_in1, 1, fixed_point_position);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_out, 1, fixed_point_position);</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>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src1, 0);</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src2, 1);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> </div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#af8ba83a7ab2a51404613c27f4bf1b502">ReferenceCPP::fixed_point_pixel_wise_multiplication</a>(ref_src1, ref_src2, ref_dst, scale, convert_policy, rounding_policy);</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> </div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> }</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span> </div><div class="line"><a name="l00316"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#ac58967d13dc282d5ebf11f54e5605b8e"> 316</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_threshold(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, uint8_t <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#aa2a75d7fb5a1cca91d6eab7888fc3431">threshold</a>, uint8_t false_value, uint8_t true_value, <a class="code" href="namespacearm__compute.xhtml#a3e6b23e675649b83240691abbc42a649">ThresholdType</a> type, uint8_t upper)</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>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src1 = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src1, 0);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span> </div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#aa2a75d7fb5a1cca91d6eab7888fc3431">ReferenceCPP::threshold</a>(ref_src1, ref_dst, threshold, false_value, true_value, type, upper);</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> </div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> }</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> </div><div class="line"><a name="l00331"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#a0c6cd80f8097cee0613209b6181bd63c"> 331</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_activation_layer(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> act_info, <span class="keywordtype">int</span> fixed_point_position)</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> {</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt, 1, fixed_point_position);</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt, 1, fixed_point_position);</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> </div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keywordflow">if</span>(dt == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  {</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordtype">float</span> min_bound = 0;</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keywordtype">float</span> max_bound = 0;</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  std::tie(min_bound, max_bound) = get_activation_layer_test_bounds<float>(act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a63e05ce4946dd9807c005c1619fa337a">activation</a>());</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  std::uniform_real_distribution<> distribution(min_bound, max_bound);</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_src, distribution, 0);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  }</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keywordflow">else</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>  <span class="keywordtype">int</span> min_bound = 0;</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keywordtype">int</span> max_bound = 0;</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  std::tie(min_bound, max_bound) = get_activation_layer_test_bounds<int8_t>(act_info.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a63e05ce4946dd9807c005c1619fa337a">activation</a>(), fixed_point_position);</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  std::uniform_int_distribution<> distribution(min_bound, max_bound);</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_src, distribution, 0);</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  }</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>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <a class="code" href="activation__layer_8cl.xhtml#a22355c125bcfe5bf82a7c5d4c422dc50">ReferenceCPP::activation_layer</a>(ref_src, ref_dst, act_info);</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> </div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> }</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> </div><div class="line"><a name="l00361"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#a29e1a0e84b89f37a11b2efda846e8abe"> 361</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_batch_normalization_layer(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape0, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt, <span class="keywordtype">float</span> epsilon, <span class="keywordtype">int</span> fixed_point_position)</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> {</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape0, dt, 1, fixed_point_position);</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape0, dt, 1, fixed_point_position);</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_mean = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape1, dt, 1, fixed_point_position);</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_var = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape1, dt, 1, fixed_point_position);</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_beta = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape1, dt, 1, fixed_point_position);</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_gamma = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape1, dt, 1, fixed_point_position);</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="comment">// Fill tensors with values from -1 to 1.</span></div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keywordflow">if</span>(dt == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)</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>  <span class="keywordtype">float</span> min_bound = 0.f;</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keywordtype">float</span> max_bound = 0.f;</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  std::tie(min_bound, max_bound) = get_batchnormalization_layer_test_bounds<float>();</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  std::uniform_real_distribution<> distribution(min_bound, max_bound);</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  std::uniform_real_distribution<> distribution_var(0, max_bound);</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_src, distribution, 0);</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_mean, distribution, 1);</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_var, distribution_var, 0);</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_beta, distribution, 3);</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_gamma, distribution, 4);</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  }</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  {</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordtype">int</span> min_bound = 0;</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordtype">int</span> max_bound = 0;</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  std::tie(min_bound, max_bound) = get_batchnormalization_layer_test_bounds<int8_t>(fixed_point_position);</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  std::uniform_int_distribution<> distribution(min_bound, max_bound);</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  std::uniform_int_distribution<> distribution_var(0, max_bound);</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_src, distribution, 0);</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_mean, distribution, 1);</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_var, distribution_var, 0);</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_beta, distribution, 3);</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_gamma, distribution, 4);</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  }</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#ab8680238fafb5a48dc1ebe47217f54e0">ReferenceCPP::batch_normalization_layer</a>(ref_src, ref_dst, ref_mean, ref_var, ref_beta, ref_gamma, epsilon, fixed_point_position);</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> </div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordflow">return</span> ref_dst;</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> </div><div class="line"><a name="l00405"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#a3f299846fadd4b523b875efa44300af1"> 405</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_convolution_layer(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &input_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &weights_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &bias_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &output_shape, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt,</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &conv_info, <span class="keywordtype">int</span> fixed_point_position)</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> {</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(input_shape, dt, 1, fixed_point_position);</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_weights = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(weights_shape, dt, 1, fixed_point_position);</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_bias = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(bias_shape, dt, 1, fixed_point_position);</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(output_shape, dt, 1, fixed_point_position);</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>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keywordflow">if</span>(dt == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  {</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  std::uniform_real_distribution<> distribution(-1.0f, 1.0f);</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_src, distribution, 0);</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_weights, distribution, 1);</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_bias, distribution, 2);</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="keywordflow">else</span></div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  {</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src, 0);</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_weights, 1);</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_bias, 2);</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  }</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>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#ae19ece6824a2bc089edcc619124d95d3">ReferenceCPP::convolution_layer</a>(ref_src, ref_weights, ref_bias, ref_dst, conv_info);</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> }</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> </div><div class="line"><a name="l00435"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#afdf41e10f4ca31603d86ad230c2334a7"> 435</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_fully_connected_layer(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &input_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &weights_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &bias_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &output_shape,</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt, <span class="keywordtype">bool</span> transpose_weights, <span class="keywordtype">int</span> fixed_point_position)</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> {</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(input_shape, dt, 1, fixed_point_position);</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_bias = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(bias_shape, dt, 1, fixed_point_position);</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(output_shape, dt, 1, fixed_point_position);</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span> </div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="comment">// Swap the first and second dimension of weights' shape if transpose_weights is true</span></div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> ws = weights_shape;</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keywordflow">if</span>(transpose_weights)</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  {</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> dimx = ws.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#afb5cd37bb08f1029691590372e6330f0">x</a>();</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  ws.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a0cb0e1f5da2e1cc2e0ea5690450f53e8">set</a>(0, ws.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a691c9cb93365c2e33f3429de43244098">y</a>());</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  ws.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a0cb0e1f5da2e1cc2e0ea5690450f53e8">set</a>(1, dimx);</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  }</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> </div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_weights = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(ws, dt, 1, fixed_point_position);</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> </div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keywordflow">if</span>(dt == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  {</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  std::uniform_real_distribution<> distribution(-1.0f, 1.0f);</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_src, distribution, 0);</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_weights, distribution, 1);</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_bias, distribution, 2);</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  }</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  {</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src, 0);</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_weights, 1);</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_bias, 2);</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  }</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> </div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a590f86899d2cdff14487c16ce361d2a9">ReferenceCPP::fully_connected_layer</a>(ref_src, ref_weights, ref_bias, ref_dst);</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> </div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> }</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> </div><div class="line"><a name="l00475"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#a5608631245f2553eff505acf4c18b5c8"> 475</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_normalization_layer(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt, <a class="code" href="classarm__compute_1_1_normalization_layer_info.xhtml">NormalizationLayerInfo</a> norm_info, <span class="keywordtype">int</span> fixed_point_position)</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span> {</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt, 1, fixed_point_position);</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt, 1, fixed_point_position);</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span> </div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keywordflow">if</span>(dt == <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>)</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  {</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keyword">const</span> int8_t one_fixed_point = 1 << fixed_point_position;</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keyword">const</span> int8_t minus_one_fixed_point = -one_fixed_point;</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src, 0, minus_one_fixed_point, one_fixed_point);</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  }</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  {</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(ref_src, 0);</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  }</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span> </div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a31ecd095dd99ad3b8527bb4736c79f4d">ReferenceCPP::normalization_layer</a>(ref_src, ref_dst, norm_info);</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> </div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> }</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span> </div><div class="line"><a name="l00499"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#ab40feee52f91c245e51c1ad9f6bf0b43"> 499</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_pooling_layer(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape_in, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape_out, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt, <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> pool_info, <span class="keywordtype">int</span> fixed_point_position)</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span> {</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape_in, dt, 1, fixed_point_position);</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape_out, dt, 1, fixed_point_position);</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> </div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a> = 0;</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a> = 0;</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keywordflow">switch</span>(dt)</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  {</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  min = -1;</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  max = 1;</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>:</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  min = -(1 << fixed_point_position);</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  max = (1 << fixed_point_position);</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"DataType not supported."</span>);</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  }</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  std::uniform_real_distribution<> distribution(min, max);</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_src, distribution, 0.0);</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span> </div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a8e93dde24e9dfb46feaec452e192977c">ReferenceCPP::pooling_layer</a>(ref_src, ref_dst, pool_info, fixed_point_position);</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span> </div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span> }</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> </div><div class="line"><a name="l00530"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#ae50cb3ee700120b699894d9a3ae9405e"> 530</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_softmax_layer(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt, <span class="keywordtype">int</span> fixed_point_position)</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span> {</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt, 1, fixed_point_position);</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt, 1, fixed_point_position);</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span> </div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute.xhtml#af5982a092e9eb743fce2d6392bdd8897">arm_compute::is_data_type_float</a>(dt))</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  {</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  std::uniform_real_distribution<> distribution(-10, 10);</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_src, distribution, 0);</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  }</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  {</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keywordtype">int</span> one_fixed = 1 << fixed_point_position;</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  std::uniform_int_distribution<> distribution(-one_fixed, one_fixed);</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_src, distribution, 0);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  }</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span> </div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a8db9e6c61d6d8399da28198a81a2c92b">ReferenceCPP::softmax_layer</a>(ref_src, ref_dst);</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span> </div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span> }</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span> </div><div class="line"><a name="l00555"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_reference.xhtml#a09919b3cef9a55a68c13f44ec381c368"> 555</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> Reference::compute_reference_fixed_point_operation(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_in, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt_out, <a class="code" href="namespacearm__compute.xhtml#afa20b6a7f4383003babd690f026f22dc">FixedPointOp</a> op, <span class="keywordtype">int</span> fixed_point_position)</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> {</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_src = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_in, 1, fixed_point_position);</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->get(shape, dt_out, 1, fixed_point_position);</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span> </div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="comment">// Fill reference</span></div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a> = 0;</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a> = 0;</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordflow">switch</span>(op)</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  {</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <span class="keywordflow">case</span>(<a class="code" href="namespacearm__compute.xhtml#afa20b6a7f4383003babd690f026f22dca59c58364795af22cad54630be156712b">FixedPointOp::INV_SQRT</a>):</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  min = 32;</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  max = 127;</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordflow">case</span>(<a class="code" href="namespacearm__compute.xhtml#afa20b6a7f4383003babd690f026f22dca4b5ffcdaf38ce4d463171f5c977c5ab3">FixedPointOp::LOG</a>):</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  min = (1 << (fixed_point_position - 1));</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  max = 63;</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="keywordflow">case</span>(<a class="code" href="namespacearm__compute.xhtml#afa20b6a7f4383003babd690f026f22dca8c670f8c37b95e1ed14a0ce414b049c7">FixedPointOp::EXP</a>):</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  min = 1;</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  max = (1 << (fixed_point_position - 1));</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keywordflow">case</span>(<a class="code" href="namespacearm__compute.xhtml#afa20b6a7f4383003babd690f026f22dca4d98346f3d5cc5fa5666f0715abf25b1">FixedPointOp::RECIPROCAL</a>):</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  min = 15;</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  max = 100;</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Fixed point operation not supported"</span>);</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  }</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  std::uniform_int_distribution<> distribution(min, max);</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill(ref_src, distribution, 0);</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span> </div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="comment">// Compute reference</span></div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#aeffa8efd0492f825570507bc628e2968">ReferenceCPP::fixed_point_operation</a>(ref_src, ref_dst, op);</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span> </div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keywordflow">return</span> ref_dst;</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span> }</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span> </div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span> } <span class="comment">// namespace validation</span></div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span> } <span class="comment">// namespace test</span></div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span> } <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_a8db9e6c61d6d8399da28198a81a2c92b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a8db9e6c61d6d8399da28198a81a2c92b">arm_compute::test::validation::tensor_operations::softmax_layer</a></div><div class="ttdeci">void softmax_layer(const Tensor< T > &in, Tensor< T > &out)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l01240">TensorOperations.h:1240</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00031">Error.h:31</a></div></div> |
| <div class="ttc" id="_reference_8h_xhtml"><div class="ttname"><a href="_reference_8h.xhtml">Reference.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point< T > min(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00875">FixedPoint.h:875</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">arm_compute::test::RawTensor</a></div><div class="ttdoc">Simple tensor object that stores elements in a consecutive chunk of memory. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8h_source.xhtml#l00047">RawTensor.h:47</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00038">TensorShape.h:38</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_a934ba47d23b89b5868c6fad054e5a59d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a934ba47d23b89b5868c6fad054e5a59d">arm_compute::test::validation::tensor_operations::box3x3</a></div><div class="ttdeci">void box3x3(const Tensor< T > &in, Tensor< T > &out)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l00397">TensorOperations.h:397</a></div></div> |
| <div class="ttc" id="activation__layer_8cl_xhtml_a22355c125bcfe5bf82a7c5d4c422dc50"><div class="ttname"><a href="activation__layer_8cl.xhtml#a22355c125bcfe5bf82a7c5d4c422dc50">activation_layer</a></div><div class="ttdeci">__kernel void activation_layer(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</div><div class="ttdoc">This performs an activation function floating point inputs. </div><div class="ttdef"><b>Definition:</b> <a href="activation__layer_8cl_source.xhtml#l00050">activation_layer.cl:50</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">arm_compute::DataType::QS8</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_a590f86899d2cdff14487c16ce361d2a9"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a590f86899d2cdff14487c16ce361d2a9">arm_compute::test::validation::tensor_operations::fully_connected_layer</a></div><div class="ttdeci">void fully_connected_layer(const Tensor< T > &in, const Tensor< T > &weights, const Tensor< T > &bias, Tensor< T > &out)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l00899">TensorOperations.h:899</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml">arm_compute::test</a></div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_8h_source.xhtml#l00039">GEMM.h:39</a></div></div> |
| <div class="ttc" id="_tensor_library_8h_xhtml"><div class="ttname"><a href="_tensor_library_8h.xhtml">TensorLibrary.h</a></div></div> |
| <div class="ttc" id="_reference_c_p_p_8h_xhtml"><div class="ttname"><a href="_reference_c_p_p_8h.xhtml">ReferenceCPP.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">Unknown image format. </div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F16 per channel </div></div> |
| <div class="ttc" id="classarm__compute_1_1_normalization_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_normalization_layer_info.xhtml">arm_compute::NormalizationLayerInfo</a></div><div class="ttdoc">Normalization Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00506">Types.h:506</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_aeffa8efd0492f825570507bc628e2968"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#aeffa8efd0492f825570507bc628e2968">arm_compute::test::validation::tensor_operations::fixed_point_operation</a></div><div class="ttdeci">void fixed_point_operation(const Tensor< T > &in, Tensor< T > &out, FixedPointOp op)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l01319">TensorOperations.h:1319</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a63e05ce4946dd9807c005c1619fa337a"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a63e05ce4946dd9807c005c1619fa337a">arm_compute::ActivationLayerInfo::activation</a></div><div class="ttdeci">ActivationFunction activation() const </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00486">Types.h:486</a></div></div> |
| <div class="ttc" id="tests_2validation_2_helpers_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_helpers_8h.xhtml">Helpers.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_afa20b6a7f4383003babd690f026f22dc"><div class="ttname"><a href="namespacearm__compute.xhtml#afa20b6a7f4383003babd690f026f22dc">arm_compute::FixedPointOp</a></div><div class="ttdeci">FixedPointOp</div><div class="ttdoc">Fixed point operation. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_types_8h_source.xhtml#l00029">Types.h:29</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a3e6b23e675649b83240691abbc42a649"><div class="ttname"><a href="namespacearm__compute.xhtml#a3e6b23e675649b83240691abbc42a649">arm_compute::ThresholdType</a></div><div class="ttdeci">ThresholdType</div><div class="ttdoc">Threshold mode. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00226">Types.h:226</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00458">Types.h:458</a></div></div> |
| <div class="ttc" id="bitwise__op_8cl_xhtml_a24014fd2f171ae758db4eecffab00aac"><div class="ttname"><a href="bitwise__op_8cl.xhtml#a24014fd2f171ae758db4eecffab00aac">bitwise_and</a></div><div class="ttdeci">__kernel void bitwise_and(__global uchar *in1_ptr, uint in1_stride_x, uint in1_step_x, uint in1_stride_y, uint in1_step_y, uint in1_offset_first_element_in_bytes, __global uchar *in2_ptr, uint in2_stride_x, uint in2_step_x, uint in2_stride_y, uint in2_step_y, uint in2_offset_first_element_in_bytes, __global uchar *out_ptr, uint out_stride_x, uint out_step_x, uint out_stride_y, uint out_step_y, uint out_offset_first_element_in_bytes)</div><div class="ttdoc">This function computes the bitwise AND of two input images. </div><div class="ttdef"><b>Definition:</b> <a href="bitwise__op_8cl_source.xhtml#l00083">bitwise_op.cl:83</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_ae19ece6824a2bc089edcc619124d95d3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#ae19ece6824a2bc089edcc619124d95d3">arm_compute::test::validation::tensor_operations::convolution_layer</a></div><div class="ttdeci">void convolution_layer(const Tensor< T > &in, const Tensor< T > &weights, const Tensor< T > &bias, Tensor< T > &out, const PadStrideInfo &conv_info)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l00847">TensorOperations.h:847</a></div></div> |
| <div class="ttc" id="bitwise__op_8cl_xhtml_a86ffd3a69cd5489dc19c3b284c87754f"><div class="ttname"><a href="bitwise__op_8cl.xhtml#a86ffd3a69cd5489dc19c3b284c87754f">bitwise_not</a></div><div class="ttdeci">__kernel void bitwise_not(__global uchar *in_ptr, uint in_stride_x, uint in_step_x, uint in_stride_y, uint in_step_y, uint in_offset_first_element_in_bytes, __global uchar *out_ptr, uint out_stride_x, uint out_step_x, uint out_stride_y, uint out_step_y, uint out_offset_first_element_in_bytes)</div><div class="ttdoc">This function computes the bitwise NOT of an image. </div><div class="ttdef"><b>Definition:</b> <a href="bitwise__op_8cl_source.xhtml#l00149">bitwise_op.cl:149</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_afa20b6a7f4383003babd690f026f22dca4b5ffcdaf38ce4d463171f5c977c5ab3"><div class="ttname"><a href="namespacearm__compute.xhtml#afa20b6a7f4383003babd690f026f22dca4b5ffcdaf38ce4d463171f5c977c5ab3">arm_compute::FixedPointOp::LOG</a></div><div class="ttdoc">Logarithm. </div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdef"><b>Definition:</b> <a href="01__library_8dox_source.xhtml#l00001">01_library.dox:1</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_ab508d3cd11ab140d782c716debfcb25f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#ab508d3cd11ab140d782c716debfcb25f">arm_compute::test::validation::tensor_operations::absolute_difference</a></div><div class="ttdeci">void absolute_difference(const Tensor< T1 > &in1, const Tensor< T2 > &in2, Tensor< T3 > &out)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l00270">TensorOperations.h:270</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_afb5cd37bb08f1029691590372e6330f0"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#afb5cd37bb08f1029691590372e6330f0">arm_compute::Dimensions::x</a></div><div class="ttdeci">T x() const </div><div class="ttdoc">Alias to access the size of the first dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00081">Dimensions.h:81</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_a31ecd095dd99ad3b8527bb4736c79f4d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a31ecd095dd99ad3b8527bb4736c79f4d">arm_compute::test::validation::tensor_operations::normalization_layer</a></div><div class="ttdeci">void normalization_layer(const Tensor< T > &in, Tensor< T > &out, NormalizationLayerInfo norm_info)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l00921">TensorOperations.h:921</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_ab8680238fafb5a48dc1ebe47217f54e0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#ab8680238fafb5a48dc1ebe47217f54e0">arm_compute::test::validation::tensor_operations::batch_normalization_layer</a></div><div class="ttdeci">void batch_normalization_layer(const Tensor< T > &in, Tensor< T > &out, const Tensor< T > &mean, const Tensor< T > &var, const Tensor< T > &beta, const Tensor< T > &gamma, float epsilon, int fixed_point_position)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l00783">TensorOperations.h:783</a></div></div> |
| <div class="ttc" id="accumulate_8cl_xhtml_aa6efbf07a1932e211879a0df54e9f50f"><div class="ttname"><a href="accumulate_8cl.xhtml#aa6efbf07a1932e211879a0df54e9f50f">accumulate_squared</a></div><div class="ttdeci">__kernel void accumulate_squared(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *accu_ptr, uint accu_stride_x, uint accu_step_x, uint accu_stride_y, uint accu_step_y, uint accu_offset_first_element_in_bytes, const uint shift)</div><div class="ttdoc">This function accumulates a squared value from an input image to an output image. ...</div><div class="ttdef"><b>Definition:</b> <a href="accumulate_8cl_source.xhtml#l00112">accumulate.cl:112</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_afa20b6a7f4383003babd690f026f22dca8c670f8c37b95e1ed14a0ce414b049c7"><div class="ttname"><a href="namespacearm__compute.xhtml#afa20b6a7f4383003babd690f026f22dca8c670f8c37b95e1ed14a0ce414b049c7">arm_compute::FixedPointOp::EXP</a></div><div class="ttdoc">Exponential. </div></div> |
| <div class="ttc" id="_globals_8h_xhtml"><div class="ttname"><a href="_globals_8h.xhtml">Globals.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::Format::U32</a></div><div class="ttdoc">1 channel, 1 S32 per channel </div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_aa2a75d7fb5a1cca91d6eab7888fc3431"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#aa2a75d7fb5a1cca91d6eab7888fc3431">arm_compute::test::validation::tensor_operations::threshold</a></div><div class="ttdeci">void threshold(const Tensor< T > &in, Tensor< T > &out, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l00651">TensorOperations.h:651</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_aca1385f622ea543d14bdd997a2bcebcf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#aca1385f622ea543d14bdd997a2bcebcf">arm_compute::test::validation::tensor_operations::gemm</a></div><div class="ttdeci">void gemm(const Tensor< T > &in1, const Tensor< T > &in2, const Tensor< T > &in3, Tensor< T > &out, float alpha, float beta)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l00506">TensorOperations.h:506</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_af8ba83a7ab2a51404613c27f4bf1b502"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#af8ba83a7ab2a51404613c27f4bf1b502">arm_compute::test::validation::tensor_operations::fixed_point_pixel_wise_multiplication</a></div><div class="ttdeci">void fixed_point_pixel_wise_multiplication(const Tensor< T > &in1, const Tensor< T > &in2, Tensor< T > &out, int scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l00617">TensorOperations.h:617</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_afa20b6a7f4383003babd690f026f22dca59c58364795af22cad54630be156712b"><div class="ttname"><a href="namespacearm__compute.xhtml#afa20b6a7f4383003babd690f026f22dca59c58364795af22cad54630be156712b">arm_compute::FixedPointOp::INV_SQRT</a></div><div class="ttdoc">Inverse square root. </div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_add6426cbf2e057a195846d4ba09a50be"><div class="ttname"><a href="namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50be">arm_compute::RoundingPolicy</a></div><div class="ttdeci">RoundingPolicy</div><div class="ttdoc">Rounding method. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00233">Types.h:233</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00386">Types.h:386</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a0cb0e1f5da2e1cc2e0ea5690450f53e8"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a0cb0e1f5da2e1cc2e0ea5690450f53e8">arm_compute::TensorShape::set</a></div><div class="ttdeci">void set(size_t dimension, size_t value)</div><div class="ttdoc">Accessor to set the value of one of the dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00074">TensorShape.h:74</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_a0500e22e76099c68d3e41b46e0cdd54c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a0500e22e76099c68d3e41b46e0cdd54c">arm_compute::test::validation::tensor_operations::arithmetic_addition</a></div><div class="ttdeci">void arithmetic_addition(const Tensor< T1 > &in1, const Tensor< T2 > &in2, Tensor< T3 > &out, ConvertPolicy convert_policy)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l00331">TensorOperations.h:331</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_a4485bbf8646087afcb6d724e613da68f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a4485bbf8646087afcb6d724e613da68f">arm_compute::test::validation::tensor_operations::depth_convert</a></div><div class="ttdeci">void depth_convert(const Tensor< T1 > &in, Tensor< T2 > &out, ConvertPolicy policy, uint32_t shift)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l00414">TensorOperations.h:414</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a></div><div class="ttdoc">1 channel, 1 U8 per channel </div></div> |
| <div class="ttc" id="accumulate_8cl_xhtml_ab64020e40663a4356d6037079d7292fb"><div class="ttname"><a href="accumulate_8cl.xhtml#ab64020e40663a4356d6037079d7292fb">accumulate_weighted</a></div><div class="ttdeci">__kernel void accumulate_weighted(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *accu_ptr, uint accu_stride_x, uint accu_step_x, uint accu_stride_y, uint accu_step_y, uint accu_offset_first_element_in_bytes, const float alpha)</div><div class="ttdoc">This function accumulates a weighted value from an input image to an output image. </div><div class="ttdef"><b>Definition:</b> <a href="accumulate_8cl_source.xhtml#l00076">accumulate.cl:76</a></div></div> |
| <div class="ttc" id="bitwise__op_8cl_xhtml_a799450deb5ec2b1f8402eb3302b51996"><div class="ttname"><a href="bitwise__op_8cl.xhtml#a799450deb5ec2b1f8402eb3302b51996">bitwise_xor</a></div><div class="ttdeci">__kernel void bitwise_xor(__global uchar *in1_ptr, uint in1_stride_x, uint in1_step_x, uint in1_stride_y, uint in1_step_y, uint in1_offset_first_element_in_bytes, __global uchar *in2_ptr, uint in2_stride_x, uint in2_step_x, uint in2_stride_y, uint in2_step_y, uint in2_offset_first_element_in_bytes, __global uchar *out_ptr, uint out_stride_x, uint out_step_x, uint out_stride_y, uint out_step_y, uint out_offset_first_element_in_bytes)</div><div class="ttdoc">This function computes the bitwise XOR of two input images. </div><div class="ttdef"><b>Definition:</b> <a href="bitwise__op_8cl_source.xhtml#l00119">bitwise_op.cl:119</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a4ced6442a379a75e8a6c4be093fb666b"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">arm_compute::test::library</a></div><div class="ttdeci">std::unique_ptr< TensorLibrary > library</div><div class="ttdef"><b>Definition:</b> <a href="benchmark_2main_8cpp_source.xhtml#l00050">main.cpp:50</a></div></div> |
| <div class="ttc" id="bitwise__op_8cl_xhtml_a4b8ef6799be6362c31b39a159cd9f48b"><div class="ttname"><a href="bitwise__op_8cl.xhtml#a4b8ef6799be6362c31b39a159cd9f48b">bitwise_or</a></div><div class="ttdeci">__kernel void bitwise_or(__global uchar *in1_ptr, uint in1_stride_x, uint in1_step_x, uint in1_stride_y, uint in1_step_y, uint in1_offset_first_element_in_bytes, __global uchar *in2_ptr, uint in2_stride_x, uint in2_step_x, uint in2_stride_y, uint in2_step_y, uint in2_offset_first_element_in_bytes, __global uchar *out_ptr, uint out_stride_x, uint out_step_x, uint out_stride_y, uint out_step_y, uint out_offset_first_element_in_bytes)</div><div class="ttdoc">This function computes the bitwise OR of two input images. </div><div class="ttdef"><b>Definition:</b> <a href="bitwise__op_8cl_source.xhtml#l00047">bitwise_op.cl:47</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_afa20b6a7f4383003babd690f026f22dca4d98346f3d5cc5fa5666f0715abf25b1"><div class="ttname"><a href="namespacearm__compute.xhtml#afa20b6a7f4383003babd690f026f22dca4d98346f3d5cc5fa5666f0715abf25b1">arm_compute::FixedPointOp::RECIPROCAL</a></div><div class="ttdoc">Reciprocal. </div></div> |
| <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a691c9cb93365c2e33f3429de43244098"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a691c9cb93365c2e33f3429de43244098">arm_compute::Dimensions::y</a></div><div class="ttdeci">T y() const </div><div class="ttdoc">Alias to access the size of the second dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00086">Dimensions.h:86</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_acee95d0eabaf4dc59612123c1fbbffb1"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#acee95d0eabaf4dc59612123c1fbbffb1">arm_compute::test::validation::tensor_operations::pixel_wise_multiplication</a></div><div class="ttdeci">void pixel_wise_multiplication(const Tensor< T1 > &in1, const Tensor< T2 > &in2, Tensor< T3 > &out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l00579">TensorOperations.h:579</a></div></div> |
| <div class="ttc" id="accumulate_8cl_xhtml_a00e540076dd545ad59ac7482f8cdf514"><div class="ttname"><a href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">accumulate</a></div><div class="ttdeci">__kernel void accumulate(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *accu_ptr, uint accu_stride_x, uint accu_step_x, uint accu_stride_y, uint accu_step_y, uint accu_offset_first_element_in_bytes)</div><div class="ttdoc">This function accumulates an input image into output image. </div><div class="ttdef"><b>Definition:</b> <a href="accumulate_8cl_source.xhtml#l00041">accumulate.cl:41</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point< T > max(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00880">FixedPoint.h:880</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_a8e93dde24e9dfb46feaec452e192977c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a8e93dde24e9dfb46feaec452e192977c">arm_compute::test::validation::tensor_operations::pooling_layer</a></div><div class="ttdeci">void pooling_layer(const Tensor< T > &in, Tensor< T > &out, PoolingLayerInfo pool_info, int fixed_point_position)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l01123">TensorOperations.h:1123</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_a068d9be2e13dddcb8c8ab9f91e934a75"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a068d9be2e13dddcb8c8ab9f91e934a75">arm_compute::test::validation::tensor_operations::integral_image</a></div><div class="ttdeci">void integral_image(const Tensor< uint8_t > &in, Tensor< uint32_t > &out)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l00225">TensorOperations.h:225</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations_xhtml_a135ce9546985c784175156c32fa014af"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1tensor__operations.xhtml#a135ce9546985c784175156c32fa014af">arm_compute::test::validation::tensor_operations::arithmetic_subtraction</a></div><div class="ttdeci">void arithmetic_subtraction(const Tensor< T1 > &in1, const Tensor< T2 > &in2, Tensor< T3 > &out, ConvertPolicy convert_policy)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_operations_8h_source.xhtml#l00344">TensorOperations.h:344</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00060">Types.h:60</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml">arm_compute::PoolingLayerInfo</a></div><div class="ttdoc">Pooling Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00425">Types.h:425</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a82b8ac759c804bc1fb4e2d21e178fb6f"><div class="ttname"><a href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">arm_compute::ConvertPolicy</a></div><div class="ttdeci">ConvertPolicy</div><div class="ttdoc">Policy to handle overflow. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00204">Types.h:204</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_af5982a092e9eb743fce2d6392bdd8897"><div class="ttname"><a href="namespacearm__compute.xhtml#af5982a092e9eb743fce2d6392bdd8897">arm_compute::is_data_type_float</a></div><div class="ttdeci">bool is_data_type_float(DataType dt)</div><div class="ttdoc">Check if a given data type is of floating point type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00640">Utils.h:640</a></div></div> |
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