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| <a href="_n_e_elementwise_operation_kernel_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) 2018-2019 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="_n_e_elementwise_operation_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEElementwiseOperationKernel.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="_c_p_p_2_validate_8h.xhtml">arm_compute/core/CPP/Validate.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_error_8h.xhtml">arm_compute/core/Error.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_helpers_8h.xhtml">arm_compute/core/Helpers.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_i_access_window_8h.xhtml">arm_compute/core/IAccessWindow.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_i_tensor_8h.xhtml">arm_compute/core/ITensor.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_n_e_asymm_8h.xhtml">arm_compute/core/NEON/NEAsymm.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_n_e_fixed_point_8h.xhtml">arm_compute/core/NEON/NEFixedPoint.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="wrapper_8h.xhtml">arm_compute/core/NEON/wrapper/wrapper.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="_tensor_info_8h.xhtml">arm_compute/core/TensorInfo.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="_validate_8h.xhtml">arm_compute/core/Validate.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include <algorithm></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include <arm_neon.h></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include <cstdint></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include <map></span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">class </span>Coordinates;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> float32x4x4_t load_quantized(<span class="keyword">const</span> uint8_t *input1_ptr, <span class="keyword">const</span> int32x4_t &<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, <span class="keyword">const</span> float32x4_t &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>)</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>  <a class="code" href="namespacearm__compute.xhtml#ac7e1832b8c58f07a98fc8d390b16ac27">qasymm8x16_t</a> x = vld1q_u8(input1_ptr);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> float32x4x4_t out =</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>  {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_low_u8(x))))), <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>)), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>),</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_low_u8(x))))), <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>)), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>),</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_high_u8(x))))), <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>)), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>),</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_high_u8(x))))), <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>)), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>),</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  }</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  };</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">return</span> 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> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="keywordtype">void</span> store_quantized(uint8_t *output_ptr, <span class="keyword">const</span> uint32x4x4_t &out)</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">const</span> uint8x8_t pa = vqmovn_u16(vcombine_u16(vqmovn_u32(out.val[0]), vqmovn_u32(out.val[1])));</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">const</span> uint8x8_t pb = vqmovn_u16(vcombine_u16(vqmovn_u32(out.val[2]), vqmovn_u32(out.val[3])));</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  vst1q_u8(output_ptr, vcombine_u8(pa, pb));</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> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="keywordtype">void</span> store_quantized(uint8_t *output_ptr, <span class="keyword">const</span> int32x4x4_t &out)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">const</span> uint8x8_t pa = vqmovun_s16(vcombine_s16(vqmovn_s32(out.val[0]), vqmovn_s32(out.val[1])));</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">const</span> uint8x8_t pb = vqmovun_s16(vcombine_s16(vqmovn_s32(out.val[2]), vqmovn_s32(out.val[3])));</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  vst1q_u8(output_ptr, vcombine_u8(pa, pb));</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> }</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="keywordtype">void</span> store_quantized(uint8_t *output_ptr, <span class="keyword">const</span> float32x4x4_t &rf, <span class="keyword">const</span> float32x4_t &<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, <span class="keyword">const</span> float32x4_t &invscale)</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> {</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  int32x4x4_t out =</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  vcvtq_s32_f32(vmlaq_f32(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, rf.val[0], invscale)),</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  vcvtq_s32_f32(vmlaq_f32(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, rf.val[1], invscale)),</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  vcvtq_s32_f32(vmlaq_f32(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, rf.val[2], invscale)),</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  vcvtq_s32_f32(vmlaq_f32(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, rf.val[3], invscale)),</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"> 89</span>  store_quantized(output_ptr, out);</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> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> float32x4x4_t dup_quantized(<a class="code" href="namespacearm__compute.xhtml#ab8938bcb3ec0f5f8d93285eb3a28b701">qasymm8_t</a> broadcast_value, <span class="keywordtype">int</span> <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>)</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> {</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ac7e1832b8c58f07a98fc8d390b16ac27">qasymm8x16_t</a> broadcast_value_vec = vdupq_n_u8(broadcast_value);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keyword">const</span> int32x4_t voffset = vdupq_n_s32(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keyword">const</span> float32x4_t vscale = vdupq_n_f32(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keyword">const</span> float32x4x4_t broadcast_vector =</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  {</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_low_u8(broadcast_value_vec))))), voffset)), vscale),</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_low_u8(broadcast_value_vec))))), voffset)), vscale),</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_high_u8(broadcast_value_vec))))), voffset)), vscale),</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_high_u8(broadcast_value_vec))))), voffset)), vscale),</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  };</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">return</span> broadcast_vector;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="keyword">template</span> <ArithmeticOperation op, <span class="keyword">typename</span> ScalarType></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="keyword">inline</span> ScalarType elementwise_arithm_op_scalar(<span class="keyword">const</span> ScalarType &a, <span class="keyword">const</span> ScalarType &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>)</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> {</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keyword">auto</span> res = ScalarType(0);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">switch</span>(op)</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">ArithmeticOperation::MAX</a>:</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  res = std::max(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858ace31e2a082d17e038fcc6e3006166653">ArithmeticOperation::MIN</a>:</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  res = std::min(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea46ea186b87dc545033d86ba8d6e63916">ArithmeticOperation::SQUARED_DIFF</a>:</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  {</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  res = (a - <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>) * (a - <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea25c5689f5cf73ac778d6aec298e02a7f">ArithmeticOperation::PRELU</a>:</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  res = (a > 0 ? a : a * <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">break</span>;</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="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea29bbf66f7f8529ec47e394fb5a36c646">ArithmeticOperation::DIV</a>:</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  {</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  res = a / <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  }</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aeac9c9c146c630ca5ef9197c73c032f4a6">ArithmeticOperation::POWER</a>:</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  res = std::pow(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT_SUPPORTED!"</span>);</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="keywordflow">return</span> res;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> }</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> <span class="keyword">template</span> <ArithmeticOperation op></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="keyword">inline</span> uint8_t elementwise_arithm_op_quantized_scalar(<span class="keyword">const</span> <span class="keywordtype">float</span> &a, <span class="keyword">const</span> <span class="keywordtype">float</span> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, UniformQuantizationInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad85d7becf0c6e3cffbc255489808e219">qinfo</a>)</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> {</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">quantize_qasymm8</a>(elementwise_arithm_op_scalar<op>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad85d7becf0c6e3cffbc255489808e219">qinfo</a>);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> }</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="keyword">template</span> <ArithmeticOperation op, <span class="keyword">typename</span> VectorType></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="keyword">inline</span> <span class="keyword">typename</span> VectorType::type elementwise_arithm_op(<span class="keyword">const</span> <span class="keyword">typename</span> VectorType::type &a, <span class="keyword">const</span> <span class="keyword">typename</span> VectorType::type &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>)</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="keyword">using</span> vec_type = <span class="keyword">typename</span> VectorType::type;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keyword">using</span> scalar_type = <span class="keyword">typename</span> VectorType::scalar_type;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">using</span> tag_type = <span class="keyword">typename</span> VectorType::tag_type;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  vec_type res = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">wrapper::vdup_n</a>(static_cast<scalar_type>(0), tag_type{});</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">switch</span>(op)</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  {</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">ArithmeticOperation::MAX</a>:</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  res = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8d1d14000c959f1146a8a64e1dafae5f">wrapper::vmax</a>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858ace31e2a082d17e038fcc6e3006166653">ArithmeticOperation::MIN</a>:</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  res = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ab026a1aeec48074092f548c130c323f4">wrapper::vmin</a>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea46ea186b87dc545033d86ba8d6e63916">ArithmeticOperation::SQUARED_DIFF</a>:</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  {</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">const</span> vec_type tmp = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#acae4ec59246f93845fa78120d83d7c1e">wrapper::vsub</a>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  res = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(tmp, tmp);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea25c5689f5cf73ac778d6aec298e02a7f">ArithmeticOperation::PRELU</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="keyword">const</span> vec_type zero = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">wrapper::vdup_n</a>(static_cast<scalar_type>(0), tag_type{});</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">const</span> vec_type tmp = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">const</span> <span class="keyword">auto</span> gt = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a7eedba29396b0db728bffdf5f202d85c">wrapper::vcgt</a>(a, zero);</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>  res = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8e5924674eee0f441d54eb75d656700f">wrapper::vbsl</a>(gt, a, tmp);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">break</span>;</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> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT_SUPPORTED!"</span>);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  }</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">return</span> res;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> }</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="keyword">inline</span> float32x4_t elementwise_arithm_op<ArithmeticOperation::DIV, typename wrapper::traits::neon_vector<float, 4>>(<span class="keyword">const</span> float32x4_t &a, <span class="keyword">const</span> float32x4_t &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>)</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> {</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a533635332a3a17c16d8f21c77e15e907">wrapper::vdiv</a>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> }</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="keyword">inline</span> float32x4_t elementwise_arithm_op<ArithmeticOperation::POWER, typename wrapper::traits::neon_vector<float, 4>>(<span class="keyword">const</span> float32x4_t &a, <span class="keyword">const</span> float32x4_t &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>)</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> <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a566497df1ac44164eb8643f5d469afae">wrapper::vpow</a>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</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"> 207</span> <span class="preprocessor">#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="keyword">inline</span> float16x8_t elementwise_arithm_op<ArithmeticOperation::DIV, typename wrapper::traits::neon_vector<float16_t, 8>>(<span class="keyword">const</span> float16x8_t &a, <span class="keyword">const</span> float16x8_t &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>)</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> {</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a533635332a3a17c16d8f21c77e15e907">wrapper::vdiv</a>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</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> </div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> <span class="keyword">inline</span> float16x8_t elementwise_arithm_op<ArithmeticOperation::POWER, typename wrapper::traits::neon_vector<float16_t, 8>>(<span class="keyword">const</span> float16x8_t &a, <span class="keyword">const</span> float16x8_t &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>)</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> {</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a566497df1ac44164eb8643f5d469afae">wrapper::vpow</a>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</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="preprocessor">#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC</span></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> <span class="keyword">template</span> <ArithmeticOperation op></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="keyword">inline</span> float32x4x4_t elementwise_arithm_op(<span class="keyword">const</span> float32x4x4_t &a, <span class="keyword">const</span> float32x4x4_t &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>)</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> {</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keyword">using</span> neon_vector_float = wrapper::traits::neon_vector<float, 4>;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  float32x4x4_t out =</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  {</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  {</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  elementwise_arithm_op<op, neon_vector_float>(a.val[0], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>.val[0]),</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  elementwise_arithm_op<op, neon_vector_float>(a.val[1], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>.val[1]),</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  elementwise_arithm_op<op, neon_vector_float>(a.val[2], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>.val[2]),</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  elementwise_arithm_op<op, neon_vector_float>(a.val[3], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>.val[3]),</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  }</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  };</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">return</span> out;</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"> 237</span> <span class="keyword">template</span> <ArithmeticOperation op, <span class="keyword">typename</span> ScalarType, <span class="keyword">typename</span> VectorType></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> <span class="keyword">inline</span> <span class="keyword">typename</span> VectorType::type elementwise_arithm_op_broadcast(<span class="keyword">const</span> <span class="keyword">typename</span> VectorType::type &a, <span class="keyword">const</span> ScalarType &broadcast_value, <span class="keyword">const</span> <span class="keywordtype">bool</span> <a class="code" href="namespacereorder.xhtml">reorder</a>)</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> {</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keyword">using</span> tag_type = <span class="keyword">typename</span> VectorType::tag_type;</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keyword">using</span> vec_type = <span class="keyword">typename</span> VectorType::type;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  vec_type broadcast_vector = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">wrapper::vdup_n</a>(broadcast_value, tag_type{});</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">return</span> elementwise_arithm_op<op, VectorType>(<a class="code" href="namespacereorder.xhtml">reorder</a> ? broadcast_vector : a, <a class="code" href="namespacereorder.xhtml">reorder</a> ? a : broadcast_vector);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> }</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> <span class="keyword">template</span> <ComparisonOperation op, <span class="keyword">typename</span> InputScalarType></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> <span class="keyword">inline</span> uint8_t elementwise_comp_op_scalar(<span class="keyword">const</span> InputScalarType &a, <span class="keyword">const</span> InputScalarType &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>)</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> {</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordtype">bool</span> res = <span class="keyword">false</span>;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">switch</span>(op)</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  {</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5">ComparisonOperation::Equal</a>:</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  res = (a == <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca19bb0af2c3c530538cb41aff7f235b96">ComparisonOperation::NotEqual</a>:</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  res = (a != <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a">ComparisonOperation::Greater</a>:</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  res = (a > <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca758b05d899def79c9eb864ad4f96be1f">ComparisonOperation::GreaterEqual</a>:</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  res = (a >= <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca1cfdf0e8d0c87a228c1f40d9bee7888b">ComparisonOperation::Less</a>:</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  res = (a < <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58cad3e6fdac55bb7b0edd7834c968ba1f38">ComparisonOperation::LessEqual</a>:</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  res = (a <= <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT_SUPPORTED!"</span>);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  }</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">return</span> res ? ~static_cast<uint8_t>(0) : static_cast<uint8_t>(0);</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> </div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="keyword">template</span> <ComparisonOperation op></div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="keyword">inline</span> uint8_t elementwise_comp_op_quantized_scalar(<span class="keyword">const</span> <span class="keywordtype">float</span> &a, <span class="keyword">const</span> <span class="keywordtype">float</span> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, UniformQuantizationInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad85d7becf0c6e3cffbc255489808e219">qinfo</a>)</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> {</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad85d7becf0c6e3cffbc255489808e219">qinfo</a>);</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">return</span> elementwise_comp_op_scalar<op>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span> }</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> </div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> <span class="keyword">template</span> <ComparisonOperation op, <span class="keyword">typename</span> InputVectorType, <span class="keyword">typename</span> OutputVectorType></div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> <span class="keyword">inline</span> OutputVectorType elementwise_comp_op(<span class="keyword">const</span> InputVectorType &a, <span class="keyword">const</span> InputVectorType &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>)</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>  OutputVectorType res = { 0, 0, 0, 0 };</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> </div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">switch</span>(op)</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="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5">ComparisonOperation::Equal</a>:</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  res = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa7ccd655f600847f9d471604ed47e810">wrapper::vceq</a>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca19bb0af2c3c530538cb41aff7f235b96">ComparisonOperation::NotEqual</a>:</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  res = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aed661d4bd9a14812355576773982eb7a">wrapper::vnot</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa7ccd655f600847f9d471604ed47e810">wrapper::vceq</a>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>));</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a">ComparisonOperation::Greater</a>:</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  res = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a7eedba29396b0db728bffdf5f202d85c">wrapper::vcgt</a>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca758b05d899def79c9eb864ad4f96be1f">ComparisonOperation::GreaterEqual</a>:</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  res = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a1f777df8db31568a3436995df958714c">wrapper::vcge</a>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca1cfdf0e8d0c87a228c1f40d9bee7888b">ComparisonOperation::Less</a>:</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  res = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a7eedba29396b0db728bffdf5f202d85c">wrapper::vcgt</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, a);</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58cad3e6fdac55bb7b0edd7834c968ba1f38">ComparisonOperation::LessEqual</a>:</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  res = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a1f777df8db31568a3436995df958714c">wrapper::vcge</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, a);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT_SUPPORTED!"</span>);</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> </div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">return</span> res;</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span> }</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> <span class="keyword">template</span> <ComparisonOperation op></div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> <span class="keyword">inline</span> uint32x4x4_t elementwise_comp_op(<span class="keyword">const</span> float32x4x4_t &a, <span class="keyword">const</span> float32x4x4_t &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>)</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span> {</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  uint32x4x4_t out =</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>  {</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  elementwise_comp_op<op, float32x4_t, uint32x4_t>(a.val[0], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>.val[0]),</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  elementwise_comp_op<op, float32x4_t, uint32x4_t>(a.val[1], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>.val[1]),</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  elementwise_comp_op<op, float32x4_t, uint32x4_t>(a.val[2], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>.val[2]),</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  elementwise_comp_op<op, float32x4_t, uint32x4_t>(a.val[3], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>.val[3])</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>  };</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> }</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> </div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> <span class="keyword">template</span> <ComparisonOperation op, <span class="keyword">typename</span> InputScalarType, <span class="keyword">typename</span> InputVectorType, <span class="keyword">typename</span> OutputVectorType></div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> <span class="keyword">inline</span> OutputVectorType elementwise_comp_op_broadcast(<span class="keyword">const</span> InputVectorType &a, <span class="keyword">const</span> InputScalarType &broadcast_value, <span class="keyword">const</span> <span class="keywordtype">bool</span> <a class="code" href="namespacereorder.xhtml">reorder</a>)</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> {</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  InputVectorType broadcast_vector = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">wrapper::vdup_n</a>(broadcast_value, wrapper::traits::vector_128_tag());</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keywordflow">return</span> elementwise_comp_op<op, InputVectorType, OutputVectorType>(<a class="code" href="namespacereorder.xhtml">reorder</a> ? broadcast_vector : a, <a class="code" href="namespacereorder.xhtml">reorder</a> ? a : broadcast_vector);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> }</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span> </div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> <span class="keyword">template</span> <ArithmeticOperation op, <span class="keyword">typename</span> ScalarType, <span class="keyword">typename</span> VectorType></div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="keyword">inline</span> <span class="keywordtype">int</span> elementwise_arithm_op_loop(<span class="keywordtype">int</span> window_start_x, <span class="keywordtype">int</span> window_end_x, <span class="keywordtype">int</span> window_step_x,</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keyword">const</span> ScalarType *input1_ptr, <span class="keyword">const</span> ScalarType *input2_ptr, ScalarType *output_ptr)</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> {</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">for</span>(; x <= (window_end_x - window_step_x); x += window_step_x)</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="keyword">const</span> <span class="keyword">auto</span> a = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input1_ptr + x);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keyword">const</span> <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input2_ptr + x);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">wrapper::vstore</a>(output_ptr + x, elementwise_arithm_op<op, VectorType>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>));</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  }</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">return</span> x;</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> }</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> <span class="keyword">template</span> <ArithmeticOperation op></div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> <span class="keyword">inline</span> <span class="keywordtype">int</span> elementwise_arithm_op_quantized_loop(<span class="keywordtype">int</span> window_start_x, <span class="keywordtype">int</span> window_end_x, <span class="keywordtype">int</span> window_step_x,</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keyword">const</span> uint8_t *input1_ptr, <span class="keyword">const</span> uint8_t *input2_ptr, uint8_t *output_ptr,</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  int32x4_t voffset1, int32x4_t voffset2, float32x4_t vscale1, float32x4_t vscale2,</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  float32x4_t voffseto, float32x4_t invvscaleo)</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> {</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keywordflow">for</span>(; x <= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  {</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="comment">// Get inputs and compute output</span></div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keyword">const</span> float32x4x4_t af = load_quantized(input1_ptr + x, voffset1, vscale1);</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keyword">const</span> float32x4x4_t bf = load_quantized(input2_ptr + x, voffset2, vscale2);</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keyword">const</span> float32x4x4_t rf = elementwise_arithm_op<op>(af, bf);</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  store_quantized(output_ptr + x, rf, voffseto, invvscaleo);</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  }</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">return</span> x;</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> }</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> </div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> <span class="keyword">template</span> <ArithmeticOperation op, <span class="keyword">typename</span> ScalarType, <span class="keyword">typename</span> VectorType></div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> <span class="keyword">inline</span> <span class="keywordtype">int</span> elementwise_arithm_op_broadcast_loop(<span class="keywordtype">int</span> window_start_x, <span class="keywordtype">int</span> window_end_x, <span class="keywordtype">int</span> window_step_x,</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keyword">const</span> ScalarType *non_broadcast_input_ptr, <span class="keyword">const</span> ScalarType &broadcast_value, ScalarType *output_ptr, <span class="keyword">const</span> <span class="keywordtype">bool</span> <a class="code" href="namespacereorder.xhtml">reorder</a>)</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> {</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keywordflow">for</span>(; x <= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  {</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="keyword">const</span> <span class="keyword">auto</span> a = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>((non_broadcast_input_ptr + x));</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">wrapper::vstore</a>(output_ptr + x, elementwise_arithm_op_broadcast<op, ScalarType, VectorType>(a, broadcast_value, <a class="code" href="namespacereorder.xhtml">reorder</a>));</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  }</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keywordflow">return</span> x;</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> }</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> </div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span> <span class="keyword">template</span> <ArithmeticOperation op></div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> <span class="keyword">inline</span> <span class="keywordtype">int</span> elementwise_arithm_op_quantized_broadcast_loop(<span class="keywordtype">int</span> window_start_x, <span class="keywordtype">int</span> window_end_x, <span class="keywordtype">int</span> window_step_x,</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keyword">const</span> uint8_t *non_broadcast_input_ptr, float32x4x4_t broadcast_vector, uint8_t *output_ptr,</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  int32x4_t voffset_non_broadcast, float32x4_t vscale_non_broadcast,</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  float32x4_t voffseto, float32x4_t invvscaleo, <span class="keywordtype">bool</span> <a class="code" href="namespacereorder.xhtml">reorder</a>)</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> {</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">for</span>(; x <= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  {</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keyword">const</span> float32x4x4_t af = load_quantized(non_broadcast_input_ptr + x, voffset_non_broadcast, vscale_non_broadcast);</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keyword">const</span> float32x4x4_t rf = elementwise_arithm_op<op>(<a class="code" href="namespacereorder.xhtml">reorder</a> ? broadcast_vector : af, <a class="code" href="namespacereorder.xhtml">reorder</a> ? af : broadcast_vector);</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  store_quantized(output_ptr + x, rf, voffseto, invvscaleo);</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  }</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keywordflow">return</span> x;</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> </div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> <span class="keyword">template</span> <ComparisonOperation op, <span class="keyword">typename</span> InputScalarType, <span class="keyword">typename</span> InputVectorType></div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> <span class="keyword">inline</span> <span class="keywordtype">int</span> elementwise_comp_op_16_loop(<span class="keywordtype">int</span> window_start_x, <span class="keywordtype">int</span> window_end_x, <span class="keywordtype">int</span> window_step_x,</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keyword">const</span> InputScalarType *input1_ptr, <span class="keyword">const</span> InputScalarType *input2_ptr, uint8_t *output_ptr)</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>  <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keywordflow">for</span>(; x <= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  {</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keyword">const</span> <span class="keyword">auto</span> a = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input1_ptr + x);</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keyword">const</span> <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input2_ptr + x);</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keyword">const</span> <span class="keyword">auto</span> res = elementwise_comp_op<op, InputVectorType, uint16x8_t>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">wrapper::vstore</a>(output_ptr + x, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aea0b656edc428c1f7702d86bbb97df6b">wrapper::vmovn</a>(res));</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  }</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keywordflow">return</span> x;</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> </div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> <span class="keyword">template</span> <ComparisonOperation op, <span class="keyword">typename</span> InputScalarType, <span class="keyword">typename</span> InputVectorType></div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> <span class="keyword">inline</span> <span class="keywordtype">int</span> elementwise_comp_op_32_loop(<span class="keywordtype">int</span> window_start_x, <span class="keywordtype">int</span> window_end_x, <span class="keywordtype">int</span> window_step_x,</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keyword">const</span> InputScalarType *input1_ptr, <span class="keyword">const</span> InputScalarType *input2_ptr, uint8_t *output_ptr)</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> {</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">for</span>(; x <= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  {</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keyword">auto</span> a = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input1_ptr + x);</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input2_ptr + x);</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keyword">const</span> <span class="keyword">auto</span> res = elementwise_comp_op<op, InputVectorType, uint32x4_t>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  a = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input1_ptr + x + 4);</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input2_ptr + x + 4);</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keyword">const</span> <span class="keyword">auto</span> res2 = elementwise_comp_op<op, InputVectorType, uint32x4_t>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">wrapper::vstore</a>(output_ptr + x, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aea0b656edc428c1f7702d86bbb97df6b">wrapper::vmovn</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a1598e7eb12a58fc53559332cd0c3ab6f">wrapper::vcombine</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aea0b656edc428c1f7702d86bbb97df6b">wrapper::vmovn</a>(res), <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aea0b656edc428c1f7702d86bbb97df6b">wrapper::vmovn</a>(res2))));</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  }</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="keywordflow">if</span>(x <= window_end_x - 4)</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="keyword">const</span> <span class="keyword">auto</span> a = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input1_ptr + x);</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keyword">const</span> <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input2_ptr + x);</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keyword">const</span> <span class="keyword">auto</span> res = elementwise_comp_op<op, InputVectorType, uint32x4_t>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i < 4; i++)</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  {</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  *(output_ptr + x + i) = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa16ace001ab8287faa46d6962f369219">wrapper::vgetlane</a>(res, i);</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  }</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  x = +4;</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  }</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordflow">return</span> x;</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> </div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> <span class="keyword">template</span> <ComparisonOperation op></div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> <span class="keyword">inline</span> <span class="keywordtype">int</span> elementwise_comp_op_quantized_loop(<span class="keywordtype">int</span> window_start_x, <span class="keywordtype">int</span> window_end_x, <span class="keywordtype">int</span> window_step_x,</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keyword">const</span> uint8_t *input1_ptr, <span class="keyword">const</span> uint8_t *input2_ptr, uint8_t *output_ptr,</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  int32x4_t voffset1, int32x4_t voffset2, float32x4_t vscale1, float32x4_t vscale2,</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  float32x4_t voffseto, float32x4_t invvscaleo)</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> {</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(voffseto, invvscaleo);</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keywordflow">for</span>(; x <= (window_end_x - window_step_x); x += window_step_x)</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="keyword">const</span> float32x4x4_t af = load_quantized(input1_ptr + x, voffset1, vscale1);</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keyword">const</span> float32x4x4_t bf = load_quantized(input2_ptr + x, voffset2, vscale2);</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keyword">const</span> uint32x4x4_t rf = elementwise_comp_op<op>(af, bf);</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  store_quantized(output_ptr + x, rf);</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  }</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keywordflow">return</span> x;</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span> }</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="keyword">template</span> <ComparisonOperation op, <span class="keyword">typename</span> InputScalarType, <span class="keyword">typename</span> InputVectorType></div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span> <span class="keyword">inline</span> <span class="keywordtype">int</span> elementwise_comp_op_broadcast_16_loop(<span class="keywordtype">int</span> window_start_x, <span class="keywordtype">int</span> window_end_x, <span class="keywordtype">int</span> window_step_x,</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keyword">const</span> InputScalarType *non_broadcast_input_ptr, <span class="keyword">const</span> InputScalarType &broadcast_value, uint8_t *output_ptr, <span class="keyword">const</span> <span class="keywordtype">bool</span> <a class="code" href="namespacereorder.xhtml">reorder</a>)</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span> {</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keywordflow">for</span>(; x <= (window_end_x - window_step_x); x += window_step_x)</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="keyword">const</span> <span class="keyword">auto</span> a = elementwise_comp_op_broadcast<op, InputScalarType, InputVectorType, uint16x8_t>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>((non_broadcast_input_ptr + x)), broadcast_value, <a class="code" href="namespacereorder.xhtml">reorder</a>);</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">wrapper::vstore</a>(output_ptr + x, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aea0b656edc428c1f7702d86bbb97df6b">wrapper::vmovn</a>(a));</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> x;</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"> 475</span> <span class="keyword">template</span> <ComparisonOperation op, <span class="keyword">typename</span> InputScalarType, <span class="keyword">typename</span> InputVectorType></div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span> <span class="keyword">inline</span> <span class="keywordtype">int</span> elementwise_comp_op_broadcast_32_loop(<span class="keywordtype">int</span> window_start_x, <span class="keywordtype">int</span> window_end_x, <span class="keywordtype">int</span> window_step_x,</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keyword">const</span> InputScalarType *non_broadcast_input_ptr, <span class="keyword">const</span> InputScalarType &broadcast_value, uint8_t *output_ptr, <span class="keyword">const</span> <span class="keywordtype">bool</span> <a class="code" href="namespacereorder.xhtml">reorder</a>)</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span> {</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">for</span>(; x <= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  {</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keyword">const</span> <span class="keyword">auto</span> a = elementwise_comp_op_broadcast<op, InputScalarType, InputVectorType, uint32x4_t>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(non_broadcast_input_ptr + x), broadcast_value, <a class="code" href="namespacereorder.xhtml">reorder</a>);</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keyword">const</span> <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = elementwise_comp_op_broadcast<op, InputScalarType, InputVectorType, uint32x4_t>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(non_broadcast_input_ptr + x + 4), broadcast_value, <a class="code" href="namespacereorder.xhtml">reorder</a>);</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">wrapper::vstore</a>(output_ptr + x, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aea0b656edc428c1f7702d86bbb97df6b">wrapper::vmovn</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a1598e7eb12a58fc53559332cd0c3ab6f">wrapper::vcombine</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aea0b656edc428c1f7702d86bbb97df6b">wrapper::vmovn</a>(a), <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aea0b656edc428c1f7702d86bbb97df6b">wrapper::vmovn</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>))));</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  }</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keywordflow">if</span>(x <= window_end_x - 4)</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="keyword">const</span> <span class="keyword">auto</span> a = elementwise_comp_op_broadcast<op, InputScalarType, InputVectorType, uint32x4_t>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>((non_broadcast_input_ptr + x)), broadcast_value, <a class="code" href="namespacereorder.xhtml">reorder</a>);</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i < 4; i++)</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  {</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  *(output_ptr + x + i) = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa16ace001ab8287faa46d6962f369219">wrapper::vgetlane</a>(a, i);</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>  x = +4;</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  }</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keywordflow">return</span> x;</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> }</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> <span class="keyword">template</span> <ComparisonOperation op></div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> <span class="keyword">inline</span> <span class="keywordtype">int</span> elementwise_comp_op_quantized_broadcast_loop(<span class="keywordtype">int</span> window_start_x, <span class="keywordtype">int</span> window_end_x, <span class="keywordtype">int</span> window_step_x,</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keyword">const</span> uint8_t *non_broadcast_input_ptr, float32x4x4_t broadcast_vector, uint8_t *output_ptr,</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  int32x4_t voffset_non_broadcast, float32x4_t vscale_non_broadcast,</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  float32x4_t voffseto, float32x4_t invvscaleo, <span class="keywordtype">bool</span> <a class="code" href="namespacereorder.xhtml">reorder</a>)</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span> {</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(voffseto, invvscaleo);</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keywordflow">for</span>(; x <= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  {</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keyword">const</span> float32x4x4_t af = load_quantized(non_broadcast_input_ptr + x, voffset_non_broadcast, vscale_non_broadcast);</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="keyword">const</span> uint32x4x4_t rf = elementwise_comp_op<op>(<a class="code" href="namespacereorder.xhtml">reorder</a> ? broadcast_vector : af, <a class="code" href="namespacereorder.xhtml">reorder</a> ? af : broadcast_vector);</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  store_quantized(output_ptr + x, rf);</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  }</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="keywordflow">return</span> x;</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span> }</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span> </div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span> <span class="keyword">template</span> <<span class="keyword">typename</span> InputScalarType, <span class="keyword">typename</span> OutputScalarType, <span class="keyword">typename</span> InputVectorType></div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span> <span class="keywordtype">void</span> elementwise_op(<span class="keyword">const</span> ITensor *in1, <span class="keyword">const</span> ITensor *in2, ITensor *out, <span class="keyword">const</span> Window &window,</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  OutputScalarType (*scalar_func)(<span class="keyword">const</span> InputScalarType &, <span class="keyword">const</span> InputScalarType &),</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordtype">int</span> (*broadcast_func)(<span class="keywordtype">int</span>, <span class="keywordtype">int</span>, <span class="keywordtype">int</span>, <span class="keyword">const</span> InputScalarType *, <span class="keyword">const</span> InputScalarType &, OutputScalarType *, <span class="keyword">const</span> <span class="keywordtype">bool</span>),</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keywordtype">int</span> (*neon_func)(<span class="keywordtype">int</span>, <span class="keywordtype">int</span>, <span class="keywordtype">int</span>, <span class="keyword">const</span> InputScalarType *, <span class="keyword">const</span> InputScalarType *, OutputScalarType *))</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>  <span class="comment">// Create input windows</span></div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  Window input1_win = window.broadcast_if_dimension_le_one(in1->info()->tensor_shape());</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  Window input2_win = window.broadcast_if_dimension_le_one(in2->info()->tensor_shape());</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> </div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  Window win = window;</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  win.set(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, Window::Dimension(0, 1, 1));</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>  <span class="keyword">const</span> <span class="keywordtype">int</span> window_step_x = std::min(16 / static_cast<int>(<span class="keyword">sizeof</span>(OutputScalarType)), 8);</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keyword">const</span> <span class="keyword">auto</span> window_start_x = static_cast<int>(window.x().start());</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="keyword">const</span> <span class="keyword">auto</span> window_end_x = static_cast<int>(window.x().end());</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_broadcast_across_x = (input1_win.x().step() == 0) || (input2_win.x().step() == 0);</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span> </div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keywordflow">if</span>(is_broadcast_across_x)</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="keyword">const</span> <span class="keywordtype">bool</span> is_broadcast_input_2 = input2_win.x().step() == 0;</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  Window broadcast_win = is_broadcast_input_2 ? input2_win : input1_win;</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  Window non_broadcast_win = !is_broadcast_input_2 ? input2_win : input1_win;</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keyword">const</span> ITensor *broadcast_tensor = is_broadcast_input_2 ? in2 : in1;</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keyword">const</span> ITensor *non_broadcast_tensor = !is_broadcast_input_2 ? in2 : in1;</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="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  non_broadcast_win.set(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, Window::Dimension(0, 1, 1));</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span> </div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  Iterator broadcast_input(broadcast_tensor, broadcast_win);</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  Iterator non_broadcast_input(non_broadcast_tensor, non_broadcast_win);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  Iterator output(out, win);</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>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(win, [&](<span class="keyword">const</span> Coordinates &)</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  {</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keyword">auto</span> output_ptr = reinterpret_cast<OutputScalarType *>(output.ptr());</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keyword">const</span> <span class="keyword">auto</span> non_broadcast_input_ptr = reinterpret_cast<const InputScalarType *>(non_broadcast_input.ptr());</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keyword">const</span> InputScalarType broadcast_value = *reinterpret_cast<const InputScalarType *>(broadcast_input.ptr());</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span> </div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <span class="keywordtype">int</span> x = (*broadcast_func)(window_start_x, window_end_x, window_step_x, non_broadcast_input_ptr, broadcast_value, output_ptr, !is_broadcast_input_2);</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="keywordflow">for</span>(; x < window_end_x; ++x)</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  {</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keyword">const</span> <span class="keyword">auto</span> a = *(non_broadcast_input_ptr + x);</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  *(output_ptr + x) = (*scalar_func)(!is_broadcast_input_2 ? broadcast_value : a, !is_broadcast_input_2 ? a : broadcast_value);</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>  },</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  broadcast_input, non_broadcast_input, output);</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  }</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordflow">else</span></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="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  input1_win.set(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, Window::Dimension(0, 1, 1));</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  input2_win.set(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, Window::Dimension(0, 1, 1));</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span> </div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  Iterator input1(in1, input1_win);</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  Iterator input2(in2, input2_win);</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  Iterator output(out, win);</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span> </div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(win, [&](<span class="keyword">const</span> Coordinates &)</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  {</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="keyword">auto</span> output_ptr = reinterpret_cast<OutputScalarType *>(output.ptr());</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keyword">const</span> <span class="keyword">auto</span> input1_ptr = reinterpret_cast<const InputScalarType *>(input1.ptr());</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keyword">const</span> <span class="keyword">auto</span> input2_ptr = reinterpret_cast<const InputScalarType *>(input2.ptr());</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span> </div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keywordtype">int</span> x = (*neon_func)(window_start_x, window_end_x, window_step_x, input1_ptr, input2_ptr, output_ptr);</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keywordflow">for</span>(; x < window_end_x; ++x)</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  {</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keyword">const</span> <span class="keyword">auto</span> a = *(input1_ptr + x);</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="keyword">const</span> <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = *(input2_ptr + x);</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  *(output_ptr + x) = (*scalar_func)(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  }</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>  input1, input2, output);</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  }</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> </div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span> <span class="keywordtype">void</span> elementwise_op_quantized(<span class="keyword">const</span> ITensor *in1, <span class="keyword">const</span> ITensor *in2, ITensor *out, <span class="keyword">const</span> Window &window,</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  uint8_t (*scalar_func)(<span class="keyword">const</span> <span class="keywordtype">float</span> &, <span class="keyword">const</span> <span class="keywordtype">float</span> &, UniformQuantizationInfo),</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keywordtype">int</span> (*broadcast_func)(<span class="keywordtype">int</span>, <span class="keywordtype">int</span>, <span class="keywordtype">int</span>, <span class="keyword">const</span> uint8_t *, float32x4x4_t, uint8_t *, int32x4_t, float32x4_t,</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  float32x4_t, float32x4_t, <span class="keyword">const</span> <span class="keywordtype">bool</span>),</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordtype">int</span> (*neon_func)(<span class="keywordtype">int</span>, <span class="keywordtype">int</span>, <span class="keywordtype">int</span>, <span class="keyword">const</span> uint8_t *, <span class="keyword">const</span> uint8_t *, uint8_t *,</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  int32x4_t, int32x4_t, float32x4_t, float32x4_t,</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  float32x4_t, float32x4_t))</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span> {</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="comment">// Create input windows</span></div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  Window input1_win = window.broadcast_if_dimension_le_one(in1->info()->tensor_shape());</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  Window input2_win = window.broadcast_if_dimension_le_one(in2->info()->tensor_shape());</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span> </div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  Window win = window;</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  win.set(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, Window::Dimension(0, 1, 1));</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> </div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> window_step_x = 16;</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <span class="keyword">const</span> <span class="keyword">auto</span> window_start_x = static_cast<int>(window.x().start());</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keyword">const</span> <span class="keyword">auto</span> window_end_x = static_cast<int>(window.x().end());</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_broadcast_across_x = (input1_win.x().step() == 0) || (input2_win.x().step() == 0);</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span> </div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="keyword">const</span> UniformQuantizationInfo output_qinfo = out->info()->quantization_info().uniform();</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span> </div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <span class="comment">// Output quantization info (add 0.5 to round toward the nearest integer - 0.5 rounds away from zero)</span></div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="keyword">const</span> float32x4_t voffseto = vdupq_n_f32(output_qinfo.offset + 0.5f);</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="keyword">const</span> float32x4_t invvscaleo = vdupq_n_f32(1.f / output_qinfo.scale);</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span> </div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <span class="keywordflow">if</span>(is_broadcast_across_x)</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  {</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="comment">// Select the broadcast input on the X axis</span></div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_broadcast_input_2 = input2_win.x().step() == 0;</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  Window broadcast_win = is_broadcast_input_2 ? input2_win : input1_win;</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  Window non_broadcast_win = !is_broadcast_input_2 ? input2_win : input1_win;</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="keyword">const</span> ITensor *broadcast_tensor = is_broadcast_input_2 ? in2 : in1;</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="keyword">const</span> ITensor *non_broadcast_tensor = !is_broadcast_input_2 ? in2 : in1;</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> </div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <span class="keyword">const</span> UniformQuantizationInfo broadcast_qinfo = broadcast_tensor->info()->quantization_info().uniform();</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <span class="keyword">const</span> UniformQuantizationInfo non_broadcast_qinfo = non_broadcast_tensor->info()->quantization_info().uniform();</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span> </div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keyword">const</span> int32x4_t voffset_non_broadcast = vdupq_n_s32(non_broadcast_qinfo.offset);</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="keyword">const</span> float32x4_t vscale_non_broadcast = vdupq_n_f32(non_broadcast_qinfo.scale);</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span> </div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  non_broadcast_win.set(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, Window::Dimension(0, 1, 1));</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span> </div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  Iterator broadcast_input(broadcast_tensor, broadcast_win);</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  Iterator non_broadcast_input(non_broadcast_tensor, non_broadcast_win);</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  Iterator output(out, win);</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span> </div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(win, [&](<span class="keyword">const</span> Coordinates &)</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  {</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  <span class="keyword">const</span> <span class="keyword">auto</span> non_broadcast_input_ptr = reinterpret_cast<const uint8_t *>(non_broadcast_input.ptr());</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="keyword">const</span> <span class="keyword">auto</span> output_ptr = reinterpret_cast<uint8_t *>(output.ptr());</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> </div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  <span class="keyword">const</span> uint8_t broadcast_value = *reinterpret_cast<const uint8_t *>(broadcast_input.ptr());</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  <span class="keyword">const</span> float32x4x4_t broadcast_vector = dup_quantized(broadcast_value, broadcast_qinfo.offset, broadcast_qinfo.scale);</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span> </div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <span class="keywordtype">int</span> x = (*broadcast_func)(window_start_x, window_end_x, window_step_x, non_broadcast_input_ptr, broadcast_vector, output_ptr,</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  voffset_non_broadcast, vscale_non_broadcast, voffseto, invvscaleo, !is_broadcast_input_2);</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <span class="keywordflow">for</span>(; x < window_end_x; ++x)</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  {</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> afs = <a class="code" href="namespacearm__compute.xhtml#a34725aa0412e6cc99193ceb6c8a8e439">dequantize_qasymm8</a>(*(non_broadcast_input_ptr + x), non_broadcast_qinfo);</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f">bfs</a> = <a class="code" href="namespacearm__compute.xhtml#a34725aa0412e6cc99193ceb6c8a8e439">dequantize_qasymm8</a>(broadcast_value, broadcast_qinfo);</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  *(output_ptr + x) = (*scalar_func)(!is_broadcast_input_2 ? <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f">bfs</a> : afs, !is_broadcast_input_2 ? afs : <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f">bfs</a>, output_qinfo);</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  }</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  },</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  broadcast_input, non_broadcast_input, output);</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  }</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  {</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="keyword">const</span> UniformQuantizationInfo input1_qinfo = in1->info()->quantization_info().uniform();</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keyword">const</span> UniformQuantizationInfo input2_qinfo = in2->info()->quantization_info().uniform();</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span> </div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="comment">// Input1 quantization info</span></div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="keyword">const</span> int32x4_t voffset1 = vdupq_n_s32(input1_qinfo.offset);</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="keyword">const</span> float32x4_t vscale1 = vdupq_n_f32(input1_qinfo.scale);</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span> </div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="comment">// Input2 quantization info</span></div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <span class="keyword">const</span> int32x4_t voffset2 = vdupq_n_s32(input2_qinfo.offset);</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="keyword">const</span> float32x4_t vscale2 = vdupq_n_f32(input2_qinfo.scale);</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span> </div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  input1_win.set(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, Window::Dimension(0, 1, 1));</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  input2_win.set(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, Window::Dimension(0, 1, 1));</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span> </div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  Iterator input1(in1, input1_win);</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  Iterator input2(in2, input2_win);</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  Iterator output(out, win);</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> </div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(win, [&](<span class="keyword">const</span> Coordinates &)</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  {</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  <span class="keyword">const</span> <span class="keyword">auto</span> input1_ptr = reinterpret_cast<const uint8_t *>(input1.ptr());</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  <span class="keyword">const</span> <span class="keyword">auto</span> input2_ptr = reinterpret_cast<const uint8_t *>(input2.ptr());</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <span class="keyword">const</span> <span class="keyword">auto</span> output_ptr = reinterpret_cast<uint8_t *>(output.ptr());</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span> </div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keywordtype">int</span> x = (*neon_func)(window_start_x, window_end_x, window_step_x, input1_ptr, input2_ptr, output_ptr, voffset1, voffset2,</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  vscale1, vscale2, voffseto, invvscaleo);</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <span class="keywordflow">for</span>(; x < window_end_x; ++x)</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  {</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> afs = <a class="code" href="namespacearm__compute.xhtml#a34725aa0412e6cc99193ceb6c8a8e439">dequantize_qasymm8</a>(*(input1_ptr + x), input1_qinfo);</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f">bfs</a> = <a class="code" href="namespacearm__compute.xhtml#a34725aa0412e6cc99193ceb6c8a8e439">dequantize_qasymm8</a>(*(input2_ptr + x), input2_qinfo);</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  *(output_ptr + x) = (*scalar_func)(afs, <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f">bfs</a>, output_qinfo);</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  }</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  },</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  input1, input2, output);</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  }</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span> }</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span> </div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span> <span class="keyword">template</span> <ComparisonOperation op, <span class="keyword">typename</span> InputScalarType, <span class="keyword">typename</span> InputVectorType></div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span> <span class="keywordtype">void</span> elementwise_comp_op_16(<span class="keyword">const</span> ITensor *in1, <span class="keyword">const</span> ITensor *in2, ITensor *out, <span class="keyword">const</span> Window &window)</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span> {</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  elementwise_op<InputScalarType, uint8_t, InputVectorType>(in1, in2, out, window,</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  &elementwise_comp_op_scalar<op, InputScalarType>,</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  &elementwise_comp_op_broadcast_16_loop<op, InputScalarType, InputVectorType>,</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  &elementwise_comp_op_16_loop<op, InputScalarType, InputVectorType>);</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span> }</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span> </div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span> <span class="keyword">template</span> <ComparisonOperation op, <span class="keyword">typename</span> InputScalarType, <span class="keyword">typename</span> InputVectorType></div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span> <span class="keywordtype">void</span> elementwise_comp_op_32(<span class="keyword">const</span> ITensor *in1, <span class="keyword">const</span> ITensor *in2, ITensor *out, <span class="keyword">const</span> Window &window)</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span> {</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  elementwise_op<InputScalarType, uint8_t, InputVectorType>(in1, in2, out, window,</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  &elementwise_comp_op_scalar<op, InputScalarType>,</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  &elementwise_comp_op_broadcast_32_loop<op, InputScalarType, InputVectorType>,</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  &elementwise_comp_op_32_loop<op, InputScalarType, InputVectorType>);</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span> }</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span> </div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span> <span class="keyword">template</span> <ArithmeticOperation op, <span class="keyword">typename</span> VectorType></div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span> <span class="keywordtype">void</span> elementwise_arithm_op(<span class="keyword">const</span> ITensor *in1, <span class="keyword">const</span> ITensor *in2, ITensor *out, <span class="keyword">const</span> Window &window)</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span> {</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  <span class="keyword">using</span> scalar_type = <span class="keyword">typename</span> VectorType::scalar_type;</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span> </div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  elementwise_op<scalar_type, scalar_type, VectorType>(in1, in2, out, window,</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  &elementwise_arithm_op_scalar<op, scalar_type>,</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  &elementwise_arithm_op_broadcast_loop<op, scalar_type, VectorType>,</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  &elementwise_arithm_op_loop<op, scalar_type, VectorType>);</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span> }</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span> </div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span> <span class="keyword">template</span> <ArithmeticOperation op></div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span> <span class="keywordtype">void</span> elementwise_arithm_op_quantized(<span class="keyword">const</span> ITensor *in1, <span class="keyword">const</span> ITensor *in2, ITensor *out, <span class="keyword">const</span> Window &window)</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span> {</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  elementwise_op_quantized(in1, in2, out, window, &elementwise_arithm_op_quantized_scalar<op>,</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  &elementwise_arithm_op_quantized_broadcast_loop<op>,</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  &elementwise_arithm_op_quantized_loop<op>);</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span> }</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span> </div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span> <span class="keyword">template</span> <ComparisonOperation op></div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span> <span class="keywordtype">void</span> elementwise_comp_op_quantized(<span class="keyword">const</span> ITensor *in1, <span class="keyword">const</span> ITensor *in2, ITensor *out, <span class="keyword">const</span> Window &window)</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span> {</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  elementwise_op_quantized(in1, in2, out, window, &elementwise_comp_op_quantized_scalar<op>,</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  &elementwise_comp_op_quantized_broadcast_loop<op>,</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  &elementwise_comp_op_quantized_loop<op>);</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span> }</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span> </div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span> std::function<void(<span class="keyword">const</span> ITensor *, <span class="keyword">const</span> ITensor *, ITensor *, <span class="keyword">const</span> Window &)></div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span> configure_func(<span class="keyword">const</span> ITensor *input1, <span class="keyword">const</span> ITensor *input2, ITensor *output,</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  std::map<std::string, NEElementwiseOperationKernel::ElementwiseFunction *> map_function)</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span> {</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  std::string function_to_call(<span class="stringliteral">"op_"</span>);</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  function_to_call += <a class="code" href="namespacearm__compute.xhtml#a142b55a483cadf4e1068a1a09a55e8e9">string_from_data_type</a>(input1->info()->data_type()) + <span class="stringliteral">"_"</span>;</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  function_to_call += <a class="code" href="namespacearm__compute.xhtml#a142b55a483cadf4e1068a1a09a55e8e9">string_from_data_type</a>(input2->info()->data_type()) + <span class="stringliteral">"_"</span>;</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  function_to_call += <a class="code" href="namespacearm__compute.xhtml#a142b55a483cadf4e1068a1a09a55e8e9">string_from_data_type</a>(output->info()->data_type());</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span> </div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  <span class="keyword">auto</span> it = map_function.find(function_to_call);</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span> </div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  <span class="keywordflow">if</span>(it != map_function.end())</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  {</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="keyword">auto</span> func = it->second;</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  <span class="keywordflow">return</span> [func](<span class="keyword">const</span> ITensor * input1, <span class="keyword">const</span> ITensor * input2, ITensor * output, <span class="keyword">const</span> Window & window)</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  {</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  func(input1, input2, output, window);</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  };</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  }</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span> }</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span> </div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span> <span class="keyword">template</span> <ArithmeticOperation op></div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span> std::function<void(<span class="keyword">const</span> ITensor *, <span class="keyword">const</span> ITensor *, ITensor *, <span class="keyword">const</span> Window &)></div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span> configure_arithm_func(<span class="keyword">const</span> ITensor *input1, <span class="keyword">const</span> ITensor *input2, ITensor *output)</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span> {</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  <span class="keyword">static</span> std::map<std::string, NEElementwiseOperationKernel::ElementwiseFunction *> map_function =</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  {</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  { <span class="stringliteral">"op_F32_F32_F32"</span>, &elementwise_arithm_op<op, typename wrapper::traits::neon_vector<float, 4>> },</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  { <span class="stringliteral">"op_S16_S16_S16"</span>, &elementwise_arithm_op<op, typename wrapper::traits::neon_vector<int16_t, 8>> },</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  { <span class="stringliteral">"op_S32_S32_S32"</span>, &elementwise_arithm_op<op, typename wrapper::traits::neon_vector<int32_t, 4>> },</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  { <span class="stringliteral">"op_QASYMM8_QASYMM8_QASYMM8"</span>, &elementwise_arithm_op_quantized<op> }</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  };</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span> <span class="preprocessor">#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC</span></div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  map_function[<span class="stringliteral">"op_F16_F16_F16"</span>] = &elementwise_arithm_op<op, typename wrapper::traits::neon_vector<float16_t, 8>>;</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span> <span class="preprocessor">#endif </span><span class="comment">/* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */</span><span class="preprocessor"></span></div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span> </div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  <span class="keywordflow">return</span> configure_func(input1, input2, output, map_function);</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span> }</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span> </div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span> <span class="keyword">template</span> <ComparisonOperation op></div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span> std::function<void(<span class="keyword">const</span> ITensor *input1, <span class="keyword">const</span> ITensor *input2, ITensor *output, <span class="keyword">const</span> Window &window)></div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span> configure_comp_func(<span class="keyword">const</span> ITensor *input1, <span class="keyword">const</span> ITensor *input2, ITensor *output)</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span> {</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <span class="keyword">static</span> std::map<std::string, NEElementwiseOperationKernel::ElementwiseFunction *> map_function =</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  {</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  { <span class="stringliteral">"op_F32_F32_U8"</span>, &elementwise_comp_op_32<op, float, float32x4_t> },</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  { <span class="stringliteral">"op_S16_S16_U8"</span>, &elementwise_comp_op_16<op, int16_t, int16x8_t> },</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  { <span class="stringliteral">"op_S32_S32_U8"</span>, &elementwise_comp_op_32<op, int32_t, int32x4_t> },</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  { <span class="stringliteral">"op_QASYMM8_QASYMM8_U8"</span>, &elementwise_comp_op_quantized<op> }</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  };</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span> <span class="preprocessor">#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC</span></div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  map_function[<span class="stringliteral">"op_F16_F16_U8"</span>] = &elementwise_comp_op_16<op, float16_t, float16x8_t>;</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span> <span class="preprocessor">#endif </span><span class="comment">/* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */</span><span class="preprocessor"></span></div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span> </div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="keywordflow">return</span> configure_func(input1, input2, output, map_function);</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span> }</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span> } <span class="comment">// namespace</span></div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span> </div><div class="line"><a name="l00804"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#accf25709b8d911f24214eaf7eecf30ae"> 804</a></span> <a class="code" href="classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#accf25709b8d911f24214eaf7eecf30ae">NEElementwiseOperationKernel::NEElementwiseOperationKernel</a>()</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  : _function(nullptr), _input1(nullptr), _input2(nullptr), _output(nullptr)</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span> {</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span> }</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span> </div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> NEElementwiseOperationKernel::validate_arguments_common(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &input2, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &output)</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span> {</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  <a class="code" href="_validate_8h.xhtml#ae7eed178dac535c6e727061b1f5bc6eb">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(&input1, 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  <a class="code" href="_validate_8h.xhtml#ae7eed178dac535c6e727061b1f5bc6eb">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(&input2, 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  <a class="code" href="_c_p_p_2_validate_8h.xhtml#ad2633f3560322e1f8d926949dec1b730">ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED</a>(&input1);</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  <a class="code" href="_validate_8h.xhtml#a8f3ff7da485ff7e75dab07baadf5b4bd">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES</a>(&input1, &input2);</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span> </div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> out_shape = <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a244a32cac2f5011bd0fc49700bf3d5de">TensorShape::broadcast_shape</a>(input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>(), input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>());</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span> </div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  <a class="code" href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a>(out_shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a0fdcb923dfd4c74858cc2bc326321efb">total_size</a>() == 0, <span class="stringliteral">"Inputs are not broadcast compatible"</span>);</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span> </div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  <span class="comment">// Validate in case of configured output</span></div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <span class="keywordflow">if</span>(output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">total_size</a>() > 0)</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  {</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <a class="code" href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a>(<a class="code" href="namespacearm__compute_1_1detail.xhtml#a45d610a8bc262f7007c934293361e888">detail::have_different_dimensions</a>(out_shape, output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>(), 0),</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <span class="stringliteral">"Wrong shape for output"</span>);</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  }</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span> </div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  <span class="keywordflow">return</span> Status{};</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span> }</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span> </div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span> <span class="keywordtype">void</span> NEElementwiseOperationKernel::configure_common(<span class="keyword">const</span> ITensor *input1, <span class="keyword">const</span> ITensor *input2, ITensor *output)</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span> {</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(input1, input2, output);</div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span> </div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <span class="keyword">const</span> std::pair<TensorShape, ValidRegion> broadcast_pair = <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ae056a42fb510e2fa170a74ab06ee31da">ITensorInfo::broadcast_shape_and_valid_region</a>(*input1->info(), *input2->info());</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  <span class="keyword">const</span> TensorShape &out_shape = broadcast_pair.first;</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <span class="keyword">const</span> ValidRegion &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a> = broadcast_pair.second;</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span> </div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  <span class="comment">// Auto initialize output if not initialized</span></div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  <a class="code" href="namespacearm__compute.xhtml#a47be6fa38308d0003c25b60b7dbc45ce">auto_init_if_empty</a>(*output->info(), out_shape, 1, input1->info()->data_type());</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span> </div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  Window win = <a class="code" href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">calculate_max_window</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a>);</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span> </div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  _input1 = input1;</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  _input2 = input2;</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  _output = output;</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span> </div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  INEKernel::configure(win);</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span> }</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span> </div><div class="line"><a name="l00851"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82"> 851</a></span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEElementwiseOperationKernel::run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &window, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>)</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span> {</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>, <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <a class="code" href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>(<span class="keyword">this</span>);</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  <a class="code" href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">INEKernel::window</a>(), <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(_function == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  _function(_input1, _input2, _output, <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span> }</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span> </div><div class="line"><a name="l00862"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml#ada5fe786261e1a1a8e84d1cd6ec557a5"> 862</a></span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml#ada5fe786261e1a1a8e84d1cd6ec557a5">NEArithmeticOperationKernel::configure</a>(<a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8ae">ArithmeticOperation</a> op, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input2, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output)</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span> {</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(*input1-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), *input2-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), *output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()));</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  configure_common(input1, input2, output);</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  <span class="keywordflow">switch</span>(op)</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  {</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">ArithmeticOperation::MAX</a>:</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  _function = configure_arithm_func<ArithmeticOperation::MAX>(input1, input2, output);</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858ace31e2a082d17e038fcc6e3006166653">ArithmeticOperation::MIN</a>:</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  _function = configure_arithm_func<ArithmeticOperation::MIN>(input1, input2, output);</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea46ea186b87dc545033d86ba8d6e63916">ArithmeticOperation::SQUARED_DIFF</a>:</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  _function = configure_arithm_func<ArithmeticOperation::SQUARED_DIFF>(input1, input2, output);</div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea25c5689f5cf73ac778d6aec298e02a7f">ArithmeticOperation::PRELU</a>:</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  _function = configure_arithm_func<ArithmeticOperation::PRELU>(input1, input2, output);</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT_SUPPORTED!"</span>);</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  }</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span> }</div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span> </div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> NEArithmeticOperationKernel::validate_arguments(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &input2, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &output)</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span> {</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  <span class="comment">// Validate in case of configured output</span></div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  <span class="keywordflow">if</span>(output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">total_size</a>() > 0)</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  {</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  <a class="code" href="_validate_8h.xhtml#a8f3ff7da485ff7e75dab07baadf5b4bd">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES</a>(&input1, &output);</div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  }</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  <span class="keywordflow">return</span> validate_arguments_common(input1, input2, output);</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span> }</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span> </div><div class="line"><a name="l00895"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml#a52095bfe8f4fc368d3ec84a8dac4d616"> 895</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml#a52095bfe8f4fc368d3ec84a8dac4d616">NEArithmeticOperationKernel::validate</a>(<a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8ae">ArithmeticOperation</a> op, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input2, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output)</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span> {</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(op);</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  <a class="code" href="_validate_8h.xhtml#aff911654521523937ff24372a870b89f">ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR</a>(input1, input2, output);</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(*input1, *input2, *output));</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span> }</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span> </div><div class="line"><a name="l00905"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_division_operation_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2"> 905</a></span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_division_operation_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2">NEDivisionOperationKernel::configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input2, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output)</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span> {</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(*input1-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), *input2-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), *output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()));</div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  configure_common(input1, input2, output);</div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  _function = configure_arithm_func<ArithmeticOperation::DIV>(input1, input2, output);</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span> }</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span> </div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> NEDivisionOperationKernel::validate_arguments(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &input2, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &output)</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span> {</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  <a class="code" href="_validate_8h.xhtml#ae7eed178dac535c6e727061b1f5bc6eb">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(&input1, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  <span class="keywordflow">return</span> NEArithmeticOperationKernel::validate_arguments(input1, input2, output);</div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span> }</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span> </div><div class="line"><a name="l00918"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_division_operation_kernel.xhtml#afe71126bef1735fe1613a6da30d2c0c4"> 918</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_n_e_division_operation_kernel.xhtml#afe71126bef1735fe1613a6da30d2c0c4">NEDivisionOperationKernel::validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input2, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output)</div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span> {</div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  <a class="code" href="_validate_8h.xhtml#aff911654521523937ff24372a870b89f">ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR</a>(input1, input2, output);</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(*input1, *input2, *output));</div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span> }</div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span> </div><div class="line"><a name="l00926"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_power_operation_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2"> 926</a></span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_power_operation_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2">NEPowerOperationKernel::configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input2, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output)</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span> {</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(*input1-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), *input2-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), *output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()));</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  configure_common(input1, input2, output);</div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  _function = configure_arithm_func<ArithmeticOperation::POWER>(input1, input2, output);</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span> }</div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span> </div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> NEPowerOperationKernel::validate_arguments(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &input2, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &output)</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span> {</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  <a class="code" href="_validate_8h.xhtml#ae7eed178dac535c6e727061b1f5bc6eb">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(&input1, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  <span class="keywordflow">return</span> NEArithmeticOperationKernel::validate_arguments(input1, input2, output);</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span> }</div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span> </div><div class="line"><a name="l00939"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_power_operation_kernel.xhtml#afe71126bef1735fe1613a6da30d2c0c4"> 939</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_n_e_power_operation_kernel.xhtml#afe71126bef1735fe1613a6da30d2c0c4">NEPowerOperationKernel::validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input2, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output)</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span> {</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  <a class="code" href="_validate_8h.xhtml#aff911654521523937ff24372a870b89f">ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR</a>(input1, input2, output);</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(*input1, *input2, *output));</div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span> }</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span> </div><div class="line"><a name="l00948"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml#a800127190e2c741812159a46f38600ef"> 948</a></span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml#a800127190e2c741812159a46f38600ef">NEComparisonOperationKernel::configure</a>(<a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58c">ComparisonOperation</a> op, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input2, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output)</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span> {</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(*input1-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), *input2-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), *output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()));</div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  configure_common(input1, input2, output);</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <span class="keywordflow">switch</span>(op)</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  {</div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5">ComparisonOperation::Equal</a>:</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  _function = configure_comp_func<ComparisonOperation::Equal>(input1, input2, output);</div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca19bb0af2c3c530538cb41aff7f235b96">ComparisonOperation::NotEqual</a>:</div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  _function = configure_comp_func<ComparisonOperation::NotEqual>(input1, input2, output);</div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a">ComparisonOperation::Greater</a>:</div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  _function = configure_comp_func<ComparisonOperation::Greater>(input1, input2, output);</div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca758b05d899def79c9eb864ad4f96be1f">ComparisonOperation::GreaterEqual</a>:</div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  _function = configure_comp_func<ComparisonOperation::GreaterEqual>(input1, input2, output);</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca1cfdf0e8d0c87a228c1f40d9bee7888b">ComparisonOperation::Less</a>:</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  _function = configure_comp_func<ComparisonOperation::Less>(input1, input2, output);</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58cad3e6fdac55bb7b0edd7834c968ba1f38">ComparisonOperation::LessEqual</a>:</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  _function = configure_comp_func<ComparisonOperation::LessEqual>(input1, input2, output);</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT_SUPPORTED!"</span>);</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  }</div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span> }</div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span> </div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> NEComparisonOperationKernel::validate_arguments(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &input2, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &output)</div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span> {</div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  <span class="comment">// Validate in case of configured output</span></div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  <span class="keywordflow">if</span>(output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">total_size</a>() > 0)</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  {</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  <a class="code" href="_validate_8h.xhtml#ae7eed178dac535c6e727061b1f5bc6eb">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(&output, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  }</div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  <span class="keywordflow">return</span> validate_arguments_common(input1, input2, output);</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span> }</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span> </div><div class="line"><a name="l00987"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml#aa4dc6e8191da7608f894b446ee19b6b3"> 987</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml#aa4dc6e8191da7608f894b446ee19b6b3">NEComparisonOperationKernel::validate</a>(<a class="code" href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58c">ComparisonOperation</a> op, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input2, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output)</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span> {</div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(op);</div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  <a class="code" href="_validate_8h.xhtml#aff911654521523937ff24372a870b89f">ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR</a>(input1, input2, output);</div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(*input1, *input2, *output));</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span> }</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span> } <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00328">helpers.h:328</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#l00261">Error.h:261</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a23d9f0c01c9e120dfb828ee922b7a8ae"><div class="ttname"><a href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8ae">arm_compute::ArithmeticOperation</a></div><div class="ttdeci">ArithmeticOperation</div><div class="ttdoc">Available element-wise operations.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00498">Types.h:498</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a533635332a3a17c16d8f21c77e15e907"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a533635332a3a17c16d8f21c77e15e907">arm_compute::wrapper::vdiv</a></div><div class="ttdeci">float32x2_t vdiv(const float32x2_t &a, const float32x2_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="div_8h_source.xhtml#l00058">div.h:58</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a23d9f0c01c9e120dfb828ee922b7a8aeac9c9c146c630ca5ef9197c73c032f4a6"><div class="ttname"><a href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aeac9c9c146c630ca5ef9197c73c032f4a6">arm_compute::ArithmeticOperation::POWER</a></div><div class="ttdoc">x ^ y</div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_ad34a46f53686c12a5c5e717cc9617fb6"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window & window() const</div><div class="ttdoc">The maximum window the kernel can be executed on.</div><div class="ttdef"><b>Definition:</b> <a href="_i_kernel_8cpp_source.xhtml#l00028">IKernel.cpp:28</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#l00039">TensorShape.h:39</a></div></div> |
| <div class="ttc" id="_i_tensor_8h_xhtml"><div class="ttname"><a href="_i_tensor_8h.xhtml">ITensor.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a23d9f0c01c9e120dfb828ee922b7a8aea29bbf66f7f8529ec47e394fb5a36c646"><div class="ttname"><a href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea29bbf66f7f8529ec47e394fb5a36c646">arm_compute::ArithmeticOperation::DIV</a></div><div class="ttdoc">(x / y)</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_aea0b656edc428c1f7702d86bbb97df6b"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#aea0b656edc428c1f7702d86bbb97df6b">arm_compute::wrapper::vmovn</a></div><div class="ttdeci">uint32x2_t vmovn(const uint64x2_t &a)</div><div class="ttdef"><b>Definition:</b> <a href="movn_8h_source.xhtml#l00039">movn.h:39</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa76b4a6e74940dabc5b7fc6b2dab3545"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">arm_compute::test::validation::b</a></div><div class="ttdeci">SimpleTensor< float > b</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">DFT.cpp:157</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a8f3ff7da485ff7e75dab07baadf5b4bd"><div class="ttname"><a href="_validate_8h.xhtml#a8f3ff7da485ff7e75dab07baadf5b4bd">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00545">Validate.h:545</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a34725aa0412e6cc99193ceb6c8a8e439"><div class="ttname"><a href="namespacearm__compute.xhtml#a34725aa0412e6cc99193ceb6c8a8e439">arm_compute::dequantize_qasymm8</a></div><div class="ttdeci">float dequantize_qasymm8(uint8_t value, const UniformQuantizationInfo &qinfo)</div><div class="ttdoc">Dequantize a value given a asymmetric quantization scheme.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00248">QuantizationInfo.h:248</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">1 channel, 1 U8 per channel</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a77f54eded7fef436d3a4f21ad5a00da6"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">arm_compute::wrapper::vloadq</a></div><div class="ttdeci">uint8x16_t vloadq(const uint8_t *ptr)</div><div class="ttdef"><b>Definition:</b> <a href="load_8h_source.xhtml#l00058">load.h:58</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a8a1e1c105f0bdaf37db408c7cfcb77a4"><div class="ttname"><a href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ON_ERROR(status)</div><div class="ttdoc">Checks if a status contains an error and returns it.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00193">Error.h:193</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_ae7eed178dac535c6e727061b1f5bc6eb"><div class="ttname"><a href="_validate_8h.xhtml#ae7eed178dac535c6e727061b1f5bc6eb">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00791">Validate.h:791</a></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 F32 per channel</div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_elementwise_operation_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NEElementwiseOperationKernel::run</a></div><div class="ttdeci">void run(const Window &window, const ThreadInfo &info) override</div><div class="ttdoc">Execute the kernel on the passed window.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_elementwise_operation_kernel_8cpp_source.xhtml#l00851">NEElementwiseOperationKernel.cpp:851</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a244a32cac2f5011bd0fc49700bf3d5de"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a244a32cac2f5011bd0fc49700bf3d5de">arm_compute::TensorShape::broadcast_shape</a></div><div class="ttdeci">static TensorShape broadcast_shape(const Shapes &... shapes)</div><div class="ttdoc">If shapes are broadcast compatible, return the broadcasted shape.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00210">TensorShape.h:210</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_division_operation_kernel_xhtml_afe71126bef1735fe1613a6da30d2c0c4"><div class="ttname"><a href="classarm__compute_1_1_n_e_division_operation_kernel.xhtml#afe71126bef1735fe1613a6da30d2c0c4">arm_compute::NEDivisionOperationKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEArithmeticOperationKer...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_elementwise_operation_kernel_8cpp_source.xhtml#l00918">NEElementwiseOperationKernel.cpp:918</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a938dcd406ce611ef5345ad2531cdb948"><div class="ttname"><a href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_THROW_ON(status)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00327">Error.h:327</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_acae4ec59246f93845fa78120d83d7c1e"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#acae4ec59246f93845fa78120d83d7c1e">arm_compute::wrapper::vsub</a></div><div class="ttdeci">uint8x8_t vsub(const uint8x8_t &a, const uint8x8_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="sub_8h_source.xhtml#l00039">sub.h:39</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a2d299363c9fc33334c571fa29ca4f58ca1cfdf0e8d0c87a228c1f40d9bee7888b"><div class="ttname"><a href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca1cfdf0e8d0c87a228c1f40d9bee7888b">arm_compute::ComparisonOperation::Less</a></div><div class="ttdoc">Less comparison ( )</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a566497df1ac44164eb8643f5d469afae"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a566497df1ac44164eb8643f5d469afae">arm_compute::wrapper::vpow</a></div><div class="ttdeci">float32x4_t vpow(const float32x4_t &a, const float32x4_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="pow_8h_source.xhtml#l00040">pow.h:40</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div> |
| <div class="ttc" id="_tensor_info_8h_xhtml"><div class="ttname"><a href="_tensor_info_8h.xhtml">TensorInfo.h</a></div></div> |
| <div class="ttc" id="_n_e_asymm_8h_xhtml"><div class="ttname"><a href="_n_e_asymm_8h.xhtml">NEAsymm.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_ae056a42fb510e2fa170a74ab06ee31da"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#ae056a42fb510e2fa170a74ab06ee31da">arm_compute::ITensorInfo::broadcast_shape_and_valid_region</a></div><div class="ttdeci">static std::pair< TensorShape, ValidRegion > broadcast_shape_and_valid_region(const Infos &... infos)</div><div class="ttdoc">If infos are broadcast compatible tensor info's, return the broadcasted shape and the intersection of...</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00247">ITensorInfo.h:247</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab7980fa5ee693e3282a76da047a1c3b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">arm_compute::calculate_max_window</a></div><div class="ttdeci">Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())</div><div class="ttdoc">Calculate the maximum window for a given tensor shape and border setting.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_helpers_8cpp_source.xhtml#l00028">Helpers.cpp:28</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a47be6fa38308d0003c25b60b7dbc45ce"><div class="ttname"><a href="namespacearm__compute.xhtml#a47be6fa38308d0003c25b60b7dbc45ce">arm_compute::auto_init_if_empty</a></div><div class="ttdeci">bool auto_init_if_empty(ITensorInfo &info, const TensorShape &shape, int num_channels, DataType data_type, QuantizationInfo quantization_info=QuantizationInfo())</div><div class="ttdoc">Auto initialize the tensor info (shape, number of channels and data type) if the current assignment i...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00201">Helpers.inl:201</a></div></div> |
| <div class="ttc" id="_c_p_p_2_validate_8h_xhtml_ad2633f3560322e1f8d926949dec1b730"><div class="ttname"><a href="_c_p_p_2_validate_8h.xhtml#ad2633f3560322e1f8d926949dec1b730">ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(tensor)</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_validate_8h_source.xhtml#l00071">Validate.h:71</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel</div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_power_operation_kernel_xhtml_a837b139cf977a6c4530e3d574fcceef2"><div class="ttname"><a href="classarm__compute_1_1_n_e_power_operation_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2">arm_compute::NEPowerOperationKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input1, const ITensor *input2, ITensor *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEArithmeticOperationKer...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_elementwise_operation_kernel_8cpp_source.xhtml#l00926">NEElementwiseOperationKernel.cpp:926</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a2d299363c9fc33334c571fa29ca4f58ca758b05d899def79c9eb864ad4f96be1f"><div class="ttname"><a href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca758b05d899def79c9eb864ad4f96be1f">arm_compute::ComparisonOperation::GreaterEqual</a></div><div class="ttdoc">Greater equal comparison ( )</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 S32 per channel</div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_arithmetic_operation_kernel_xhtml_a52095bfe8f4fc368d3ec84a8dac4d616"><div class="ttname"><a href="classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml#a52095bfe8f4fc368d3ec84a8dac4d616">arm_compute::NEArithmeticOperationKernel::validate</a></div><div class="ttdeci">static Status validate(ArithmeticOperation op, const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEArithmeticOperationKer...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_elementwise_operation_kernel_8cpp_source.xhtml#l00895">NEElementwiseOperationKernel.cpp:895</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a142b55a483cadf4e1068a1a09a55e8e9"><div class="ttname"><a href="namespacearm__compute.xhtml#a142b55a483cadf4e1068a1a09a55e8e9">arm_compute::string_from_data_type</a></div><div class="ttdeci">const std::string & string_from_data_type(DataType dt)</div><div class="ttdoc">Convert a data type identity into a string.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_utils_8cpp_source.xhtml#l00144">Utils.cpp:144</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_aa16ace001ab8287faa46d6962f369219"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#aa16ace001ab8287faa46d6962f369219">arm_compute::wrapper::vgetlane</a></div><div class="ttdeci">uint8_t vgetlane(const uint8x8_t vector, const unsigned int lane)</div><div class="ttdef"><b>Definition:</b> <a href="getlane_8h_source.xhtml#l00091">getlane.h:91</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_aa96e81276ee4f87ab386cd05a5539a7d"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a></div><div class="ttdeci">static constexpr size_t DimX</div><div class="ttdoc">Alias for dimension 0 also known as X dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00043">Window.h:43</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_aed661d4bd9a14812355576773982eb7a"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#aed661d4bd9a14812355576773982eb7a">arm_compute::wrapper::vnot</a></div><div class="ttdeci">uint8x8_t vnot(const uint8x8_t &a)</div><div class="ttdef"><b>Definition:</b> <a href="not_8h_source.xhtml#l00039">not.h:39</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00160">Error.h:160</a></div></div> |
| <div class="ttc" id="_c_p_p_2_validate_8h_xhtml"><div class="ttname"><a href="_c_p_p_2_validate_8h.xhtml">Validate.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_power_operation_kernel_xhtml_afe71126bef1735fe1613a6da30d2c0c4"><div class="ttname"><a href="classarm__compute_1_1_n_e_power_operation_kernel.xhtml#afe71126bef1735fe1613a6da30d2c0c4">arm_compute::NEPowerOperationKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEArithmeticOperationKer...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_elementwise_operation_kernel_8cpp_source.xhtml#l00939">NEElementwiseOperationKernel.cpp:939</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7c66505457d00ece3aa4b34cab80757d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">arm_compute::ITensorInfo::tensor_shape</a></div><div class="ttdeci">virtual const TensorShape & tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor.</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_ab026a1aeec48074092f548c130c323f4"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#ab026a1aeec48074092f548c130c323f4">arm_compute::wrapper::vmin</a></div><div class="ttdeci">uint8x8_t vmin(const uint8x8_t &a, const uint8x8_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="min_8h_source.xhtml#l00039">min.h:39</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a86084036bd3851575ef871ad5bf079a7"><div class="ttname"><a href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_MSG(cond,...)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00214">Error.h:214</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a0fdcb923dfd4c74858cc2bc326321efb"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a0fdcb923dfd4c74858cc2bc326321efb">arm_compute::TensorShape::total_size</a></div><div class="ttdeci">size_t total_size() const</div><div class="ttdoc">Collapses all dimensions to a single linear total size.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00171">TensorShape.h:171</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a45d610a8bc262f7007c934293361e888"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a45d610a8bc262f7007c934293361e888">arm_compute::detail::have_different_dimensions</a></div><div class="ttdeci">bool have_different_dimensions(const Dimensions< T > &dim1, const Dimensions< T > &dim2, unsigned int upper_dim)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00051">Validate.h:51</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_elementwise_operation_kernel_xhtml_accf25709b8d911f24214eaf7eecf30ae"><div class="ttname"><a href="classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#accf25709b8d911f24214eaf7eecf30ae">arm_compute::NEElementwiseOperationKernel::NEElementwiseOperationKernel</a></div><div class="ttdeci">NEElementwiseOperationKernel()</div><div class="ttdoc">Default constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_elementwise_operation_kernel_8cpp_source.xhtml#l00804">NEElementwiseOperationKernel.cpp:804</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a2d299363c9fc33334c571fa29ca4f58c"><div class="ttname"><a href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58c">arm_compute::ComparisonOperation</a></div><div class="ttdeci">ComparisonOperation</div><div class="ttdoc">Supported comparison operations.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00163">Types.h:163</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7819bcbbf45c2e7c1396a137dce54422"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">arm_compute::test::validation::valid_region</a></div><div class="ttdeci">const ValidRegion valid_region</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00109">AbsoluteDifference.cpp:109</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a1598e7eb12a58fc53559332cd0c3ab6f"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a1598e7eb12a58fc53559332cd0c3ab6f">arm_compute::wrapper::vcombine</a></div><div class="ttdeci">uint8x16_t vcombine(const uint8x8_t &a, const uint8x8_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="combine_8h_source.xhtml#l00039">combine.h:39</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml"><div class="ttname"><a href="_error_8h.xhtml">Error.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a23d9f0c01c9e120dfb828ee922b7a8aea25c5689f5cf73ac778d6aec298e02a7f"><div class="ttname"><a href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea25c5689f5cf73ac778d6aec298e02a7f">arm_compute::ArithmeticOperation::PRELU</a></div><div class="ttdoc">y*x if x < 0, x otherwise</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 S16 per channel</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5"><div class="ttname"><a href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5">arm_compute::ComparisonOperation::Equal</a></div><div class="ttdoc">Equal comparison ( )</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a"><div class="ttname"><a href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a">arm_compute::ComparisonOperation::Greater</a></div><div class="ttdoc">Greater comparison ( )</div></div> |
| <div class="ttc" id="_validate_8h_xhtml_aff911654521523937ff24372a870b89f"><div class="ttname"><a href="_validate_8h.xhtml#aff911654521523937ff24372a870b89f">ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00163">Validate.h:163</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a921b705e9e3e0fe928928447869e62a5"><div class="ttname"><a href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00161">Validate.h:161</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a7eedba29396b0db728bffdf5f202d85c"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a7eedba29396b0db728bffdf5f202d85c">arm_compute::wrapper::vcgt</a></div><div class="ttdeci">uint8x8_t vcgt(const uint8x8_t &a, const uint8x8_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="cgt_8h_source.xhtml#l00039">cgt.h:39</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a66c8dd218a4863a14fec363e3dd13dc4"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">arm_compute::wrapper::vmul</a></div><div class="ttdeci">uint8x8_t vmul(const uint8x8_t &a, const uint8x8_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="mul_8h_source.xhtml#l00039">mul.h:39</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a8e5924674eee0f441d54eb75d656700f"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a8e5924674eee0f441d54eb75d656700f">arm_compute::wrapper::vbsl</a></div><div class="ttdeci">uint8x8_t vbsl(const uint8x8_t &a, const uint8x8_t &b, const uint8x8_t &c)</div><div class="ttdef"><b>Definition:</b> <a href="bsl_8h_source.xhtml#l00039">bsl.h:39</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acec6d8ad52a28972fa74e071c1a63b6a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">arm_compute::test::validation::scale</a></div><div class="ttdeci">scale</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_pixel_wise_multiplication_8cpp_source.xhtml#l00317">PixelWiseMultiplication.cpp:317</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_thread_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_thread_info.xhtml">arm_compute::ThreadInfo</a></div><div class="ttdoc">Information about executing thread and CPU.</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_types_8h_source.xhtml#l00225">CPPTypes.h:225</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a18064e0011c3869d884653e9e7c47b66"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">arm_compute::ITensorInfo::total_size</a></div><div class="ttdeci">virtual size_t total_size() const =0</div><div class="ttdoc">Returns the total size of the tensor in bytes.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad85d7becf0c6e3cffbc255489808e219"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad85d7becf0c6e3cffbc255489808e219">arm_compute::test::validation::qinfo</a></div><div class="ttdeci">const QuantizationInfo qinfo</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00150">Im2Col.cpp:150</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab8938bcb3ec0f5f8d93285eb3a28b701"><div class="ttname"><a href="namespacearm__compute.xhtml#ab8938bcb3ec0f5f8d93285eb3a28b701">arm_compute::qasymm8_t</a></div><div class="ttdeci">uint8_t qasymm8_t</div><div class="ttdoc">8 bit quantized asymmetric scalar value</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00035">QuantizationInfo.h:35</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_arithmetic_operation_kernel_xhtml_ada5fe786261e1a1a8e84d1cd6ec557a5"><div class="ttname"><a href="classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml#ada5fe786261e1a1a8e84d1cd6ec557a5">arm_compute::NEArithmeticOperationKernel::configure</a></div><div class="ttdeci">void configure(ArithmeticOperation op, const ITensor *input1, const ITensor *input2, ITensor *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEArithmeticOperationKer...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_elementwise_operation_kernel_8cpp_source.xhtml#l00862">NEElementwiseOperationKernel.cpp:862</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a2d299363c9fc33334c571fa29ca4f58cad3e6fdac55bb7b0edd7834c968ba1f38"><div class="ttname"><a href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58cad3e6fdac55bb7b0edd7834c968ba1f38">arm_compute::ComparisonOperation::LessEqual</a></div><div class="ttdoc">Less equal comparison ( )</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_ae7943ea9c1f74dc72c62d4cc3966a459"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">arm_compute::wrapper::vstore</a></div><div class="ttdeci">void vstore(uint8_t *ptr, uint8x8_t val)</div><div class="ttdef"><b>Definition:</b> <a href="store_8h_source.xhtml#l00039">store.h:39</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_division_operation_kernel_xhtml_a837b139cf977a6c4530e3d574fcceef2"><div class="ttname"><a href="classarm__compute_1_1_n_e_division_operation_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2">arm_compute::NEDivisionOperationKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input1, const ITensor *input2, ITensor *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEArithmeticOperationKer...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_elementwise_operation_kernel_8cpp_source.xhtml#l00905">NEElementwiseOperationKernel.cpp:905</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_comparison_operation_kernel_xhtml_a800127190e2c741812159a46f38600ef"><div class="ttname"><a href="classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml#a800127190e2c741812159a46f38600ef">arm_compute::NEComparisonOperationKernel::configure</a></div><div class="ttdeci">void configure(ComparisonOperation op, const ITensor *input1, const ITensor *input2, ITensor *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEComparisonOperationKer...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_elementwise_operation_kernel_8cpp_source.xhtml#l00948">NEElementwiseOperationKernel.cpp:948</a></div></div> |
| <div class="ttc" id="arm__compute_2core_2_helpers_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_helpers_8h.xhtml">Helpers.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a39e87435be178fba49b76f49426ef873"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">arm_compute::wrapper::vdup_n</a></div><div class="ttdeci">uint8x8_t vdup_n(uint8_t value, traits::vector_64_tag)</div><div class="ttdef"><b>Definition:</b> <a href="dup__n_8h_source.xhtml#l00041">dup_n.h:41</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a5002bf7ec46d52971f9526e94172cfee"><div class="ttname"><a href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">arm_compute::execute_window_loop</a></div><div class="ttdeci">void execute_window_loop(const Window &w, L &&lambda_function, Ts &&... iterators)</div><div class="ttdoc">Iterate through the passed window, automatically adjusting the iterators and calling the lambda_funct...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00122">Helpers.inl:122</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a23d9f0c01c9e120dfb828ee922b7a8aea46ea186b87dc545033d86ba8d6e63916"><div class="ttname"><a href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea46ea186b87dc545033d86ba8d6e63916">arm_compute::ArithmeticOperation::SQUARED_DIFF</a></div><div class="ttdoc">(x - y)^2</div></div> |
| <div class="ttc" id="wrapper_8h_xhtml"><div class="ttname"><a href="wrapper_8h.xhtml">wrapper.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_aa1c6a4a70ded6258fff31b3de53dfb8f"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f">arm_compute::graph::bfs</a></div><div class="ttdeci">std::vector< NodeID > bfs(Graph &g)</div><div class="ttdoc">Breadth first search traversal.</div><div class="ttdef"><b>Definition:</b> <a href="_topological_sort_8cpp_source.xhtml#l00072">TopologicalSort.cpp:72</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5"><div class="ttname"><a href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">arm_compute::NonLinearFilterFunction::MAX</a></div><div class="ttdoc">Non linear dilate.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a2d299363c9fc33334c571fa29ca4f58ca19bb0af2c3c530538cb41aff7f235b96"><div class="ttname"><a href="namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca19bb0af2c3c530538cb41aff7f235b96">arm_compute::ComparisonOperation::NotEqual</a></div><div class="ttdoc">NotEqual comparison ( )</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a1f777df8db31568a3436995df958714c"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a1f777df8db31568a3436995df958714c">arm_compute::wrapper::vcge</a></div><div class="ttdeci">uint8x8_t vcge(const uint8x8_t &a, const uint8x8_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="cge_8h_source.xhtml#l00039">cge.h:39</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_adf2ced65e536375a1c96425d9fced858ace31e2a082d17e038fcc6e3006166653"><div class="ttname"><a href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858ace31e2a082d17e038fcc6e3006166653">arm_compute::NonLinearFilterFunction::MIN</a></div><div class="ttdoc">Non linear erode.</div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a6eb9ce82815fe429250189da7592ba75"><div class="ttname"><a href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00205">Validate.h:205</a></div></div> |
| <div class="ttc" id="_n_e_fixed_point_8h_xhtml"><div class="ttname"><a href="_n_e_fixed_point_8h.xhtml">NEFixedPoint.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a8d1d14000c959f1146a8a64e1dafae5f"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a8d1d14000c959f1146a8a64e1dafae5f">arm_compute::wrapper::vmax</a></div><div class="ttdeci">uint8x8_t vmax(const uint8x8_t &a, const uint8x8_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="max_8h_source.xhtml#l00039">max.h:39</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a1b35b0d258183cf9ef36adf684d0b88c"><div class="ttname"><a href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00940">Validate.h:940</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_aa7ccd655f600847f9d471604ed47e810"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#aa7ccd655f600847f9d471604ed47e810">arm_compute::wrapper::vceq</a></div><div class="ttdeci">uint8x8_t vceq(const uint8x8_t &a, const uint8x8_t &b)</div><div class="ttdef"><b>Definition:</b> <a href="ceq_8h_source.xhtml#l00039">ceq.h:39</a></div></div> |
| <div class="ttc" id="_n_e_elementwise_operation_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_elementwise_operation_kernel_8h.xhtml">NEElementwiseOperationKernel.h</a></div></div> |
| <div class="ttc" id="_i_access_window_8h_xhtml"><div class="ttname"><a href="_i_access_window_8h.xhtml">IAccessWindow.h</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml"><div class="ttname"><a href="_validate_8h.xhtml">Validate.h</a></div></div> |
| <div class="ttc" id="namespacereorder_xhtml"><div class="ttname"><a href="namespacereorder.xhtml">reorder</a></div><div class="ttdoc">Sets the macro arm_any if compiling for Aarch32 or Aarch64.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_permute_kernel_8cpp_source.xhtml#l00031">NEPermuteKernel.cpp:31</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a25591070cf041aff512719050c39e5ee"><div class="ttname"><a href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">arm_compute::quantize_qasymm8</a></div><div class="ttdeci">uint8_t quantize_qasymm8(float value, const UniformQuantizationInfo &qinfo, RoundingPolicy rounding_policy=RoundingPolicy::TO_NEAREST_UP)</div><div class="ttdoc">Quantize a value given a asymmetric quantization scheme.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00204">QuantizationInfo.h:204</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ac7e1832b8c58f07a98fc8d390b16ac27"><div class="ttname"><a href="namespacearm__compute.xhtml#ac7e1832b8c58f07a98fc8d390b16ac27">arm_compute::qasymm8x16_t</a></div><div class="ttdeci">uint8x16_t qasymm8x16_t</div><div class="ttdoc">8 bit quantized asymmetric vector with 16 elements</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_asymm_8h_source.xhtml#l00036">NEAsymm.h:36</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_comparison_operation_kernel_xhtml_aa4dc6e8191da7608f894b446ee19b6b3"><div class="ttname"><a href="classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml#aa4dc6e8191da7608f894b446ee19b6b3">arm_compute::NEComparisonOperationKernel::validate</a></div><div class="ttdeci">static Status validate(ComparisonOperation op, const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEComparisonOperationKer...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_elementwise_operation_kernel_8cpp_source.xhtml#l00987">NEElementwiseOperationKernel.cpp:987</a></div></div> |
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