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<li class="navelem"><a class="el" href="dir_938ab0ecf10b8b860ff766c820f665fd.html">mlx</a></li><li class="navelem"><a class="el" href="dir_1d446c9bd3c99228254c9484e0bc5c06.html">backend</a></li><li class="navelem"><a class="el" href="dir_f149b24a1b5be11cd70151abe517e3f8.html">common</a></li> </ul>
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<a href="common_2binary__two_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno"> 1</span><span class="comment">// Copyright © 2023 Apple Inc.</span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno"> 2</span> </div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno"> 3</span><span class="preprocessor">#pragma once</span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno"> 4</span> </div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno"> 5</span><span class="preprocessor">#include &quot;<a class="code" href="common_2binary_8h.html">mlx/backend/common/binary.h</a>&quot;</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno"> 6</span><span class="preprocessor">#include &quot;<a class="code" href="backend_2common_2utils_8h.html">mlx/backend/common/utils.h</a>&quot;</span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno"> 7</span> </div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno"> 8</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespacemlx_1_1core.html">mlx::core</a> {</div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno"> 9</span> </div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno"> 10</span><span class="keyword">namespace </span>{</div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno"> 11</span> </div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"> 12</span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> U, <span class="keyword">typename</span> Op&gt;</div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"> 13</span><span class="keywordtype">void</span> binary_op_dims1(</div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"> 14</span> <span class="keyword">const</span> array&amp; a,</div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">const</span> array&amp; b,</div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno"> 16</span> array&amp; out_a,</div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno"> 17</span> array&amp; out_b,</div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno"> 18</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>) {</div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">const</span> T* a_ptr = a.data&lt;T&gt;();</div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno"> 20</span> <span class="keyword">const</span> T* b_ptr = b.data&lt;T&gt;();</div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno"> 21</span> U* dst_a = out_a.data&lt;U&gt;();</div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno"> 22</span> U* dst_b = out_b.data&lt;U&gt;();</div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno"> 23</span> <span class="keywordtype">size_t</span> a_idx = 0;</div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno"> 24</span> <span class="keywordtype">size_t</span> b_idx = 0;</div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno"> 25</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; out_a.size(); ++i) {</div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno"> 26</span> <span class="keyword">auto</span> dst = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(a_ptr[a_idx], b_ptr[b_idx]);</div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno"> 27</span> dst_a[i] = dst.first;</div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno"> 28</span> dst_b[i] = dst.second;</div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno"> 29</span> a_idx += a.strides()[0];</div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno"> 30</span> b_idx += b.strides()[0];</div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno"> 31</span> }</div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno"> 32</span>}</div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno"> 33</span> </div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno"> 34</span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> U, <span class="keyword">typename</span> Op&gt;</div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno"> 35</span><span class="keywordtype">void</span> binary_op_dims1(</div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">const</span> array&amp; a,</div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">const</span> array&amp; b,</div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno"> 38</span> array&amp; out_a,</div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno"> 39</span> array&amp; out_b,</div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno"> 40</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>,</div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno"> 41</span> <span class="keywordtype">int</span> stride) {</div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">const</span> T* a_ptr = a.data&lt;T&gt;();</div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">const</span> T* b_ptr = b.data&lt;T&gt;();</div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno"> 44</span> U* dst_a = out_a.data&lt;U&gt;();</div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno"> 45</span> U* dst_b = out_b.data&lt;U&gt;();</div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno"> 46</span> <span class="keywordtype">size_t</span> a_idx = 0;</div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno"> 47</span> <span class="keywordtype">size_t</span> b_idx = 0;</div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno"> 48</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; a.shape()[0]; i++) {</div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno"> 49</span> <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(a_ptr + a_idx, b_ptr + b_idx, dst_a, dst_b, stride);</div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno"> 50</span> a_idx += a.strides()[0];</div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno"> 51</span> b_idx += b.strides()[0];</div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno"> 52</span> dst_a += stride;</div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno"> 53</span> dst_b += stride;</div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno"> 54</span> }</div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno"> 55</span>}</div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno"> 56</span> </div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno"> 57</span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> U, <span class="keyword">typename</span> Op&gt;</div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno"> 58</span><span class="keywordtype">void</span> binary_op_dims2(</div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno"> 59</span> <span class="keyword">const</span> array&amp; a,</div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno"> 60</span> <span class="keyword">const</span> array&amp; b,</div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno"> 61</span> array&amp; out_a,</div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno"> 62</span> array&amp; out_b,</div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno"> 63</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>) {</div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno"> 64</span> <span class="keyword">const</span> T* a_ptr = a.data&lt;T&gt;();</div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno"> 65</span> <span class="keyword">const</span> T* b_ptr = b.data&lt;T&gt;();</div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno"> 66</span> U* dst_a = out_a.data&lt;U&gt;();</div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno"> 67</span> U* dst_b = out_b.data&lt;U&gt;();</div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno"> 68</span> <span class="keywordtype">size_t</span> a_idx = 0;</div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno"> 69</span> <span class="keywordtype">size_t</span> b_idx = 0;</div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno"> 70</span> <span class="keywordtype">size_t</span> out_idx = 0;</div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno"> 71</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; a.shape()[0]; ++i) {</div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno"> 72</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; a.shape()[1]; ++j) {</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno"> 73</span> <span class="keyword">auto</span> dst = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(a_ptr[a_idx], b_ptr[b_idx]);</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno"> 74</span> dst_a[out_idx] = dst.first;</div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno"> 75</span> dst_b[out_idx++] = dst.second;</div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno"> 76</span> a_idx += a.strides()[1];</div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno"> 77</span> b_idx += b.strides()[1];</div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno"> 78</span> }</div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno"> 79</span> a_idx += a.strides()[0] - a.strides()[1] * a.shape()[1];</div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"> 80</span> b_idx += b.strides()[0] - b.strides()[1] * b.shape()[1];</div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno"> 81</span> }</div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno"> 82</span>}</div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno"> 83</span> </div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno"> 84</span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> U, <span class="keyword">typename</span> Op&gt;</div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno"> 85</span><span class="keywordtype">void</span> binary_op_dims2(</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno"> 86</span> <span class="keyword">const</span> array&amp; a,</div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"> 87</span> <span class="keyword">const</span> array&amp; b,</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno"> 88</span> array&amp; out_a,</div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno"> 89</span> array&amp; out_b,</div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno"> 90</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>,</div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno"> 91</span> <span class="keywordtype">int</span> stride) {</div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno"> 92</span> <span class="keyword">const</span> T* a_ptr = a.data&lt;T&gt;();</div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno"> 93</span> <span class="keyword">const</span> T* b_ptr = b.data&lt;T&gt;();</div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno"> 94</span> U* dst_a = out_a.data&lt;U&gt;();</div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno"> 95</span> U* dst_b = out_b.data&lt;U&gt;();</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno"> 96</span> <span class="keywordtype">size_t</span> a_idx = 0;</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno"> 97</span> <span class="keywordtype">size_t</span> b_idx = 0;</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno"> 98</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; a.shape()[0]; ++i) {</div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno"> 99</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; a.shape()[1]; ++j) {</div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno"> 100</span> <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(a_ptr + a_idx, b_ptr + b_idx, dst_a, dst_b, stride);</div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno"> 101</span> a_idx += a.strides()[1];</div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno"> 102</span> b_idx += b.strides()[1];</div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno"> 103</span> dst_a += stride;</div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno"> 104</span> dst_b += stride;</div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno"> 105</span> }</div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno"> 106</span> a_idx += a.strides()[0] - a.strides()[1] * a.shape()[1];</div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno"> 107</span> b_idx += b.strides()[0] - b.strides()[1] * b.shape()[1];</div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno"> 108</span> }</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno"> 109</span>}</div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"> 110</span> </div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno"> 111</span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> U, <span class="keyword">typename</span> Op&gt;</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno"> 112</span><span class="keywordtype">void</span> binary_op_dims3(</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno"> 113</span> <span class="keyword">const</span> array&amp; a,</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno"> 114</span> <span class="keyword">const</span> array&amp; b,</div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno"> 115</span> array&amp; out_a,</div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno"> 116</span> array&amp; out_b,</div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno"> 117</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>) {</div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno"> 118</span> <span class="keyword">const</span> T* a_ptr = a.data&lt;T&gt;();</div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno"> 119</span> <span class="keyword">const</span> T* b_ptr = b.data&lt;T&gt;();</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno"> 120</span> U* dst_a = out_a.data&lt;U&gt;();</div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno"> 121</span> U* dst_b = out_b.data&lt;U&gt;();</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno"> 122</span> <span class="keywordtype">size_t</span> a_idx = 0;</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno"> 123</span> <span class="keywordtype">size_t</span> b_idx = 0;</div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno"> 124</span> <span class="keywordtype">size_t</span> out_idx = 0;</div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno"> 125</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; a.shape()[0]; ++i) {</div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno"> 126</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; a.shape()[1]; ++j) {</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno"> 127</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> k = 0; k &lt; a.shape()[2]; ++k) {</div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno"> 128</span> <span class="keyword">auto</span> dst = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(a_ptr[a_idx], b_ptr[b_idx]);</div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno"> 129</span> dst_a[out_idx] = dst.first;</div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno"> 130</span> dst_b[out_idx++] = dst.second;</div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno"> 131</span> a_idx += a.strides()[2];</div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno"> 132</span> b_idx += b.strides()[2];</div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno"> 133</span> }</div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno"> 134</span> a_idx += a.strides()[1] - a.strides()[2] * a.shape()[2];</div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno"> 135</span> b_idx += b.strides()[1] - b.strides()[2] * b.shape()[2];</div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno"> 136</span> }</div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno"> 137</span> a_idx += a.strides()[0] - a.strides()[1] * a.shape()[1];</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno"> 138</span> b_idx += b.strides()[0] - b.strides()[1] * b.shape()[1];</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno"> 139</span> }</div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno"> 140</span>}</div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno"> 141</span> </div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno"> 142</span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> U, <span class="keyword">typename</span> Op&gt;</div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno"> 143</span><span class="keywordtype">void</span> binary_op_dims4(</div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno"> 144</span> <span class="keyword">const</span> array&amp; a,</div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"> 145</span> <span class="keyword">const</span> array&amp; b,</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno"> 146</span> array&amp; out_a,</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno"> 147</span> array&amp; out_b,</div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno"> 148</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>) {</div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno"> 149</span> <span class="keyword">const</span> T* a_ptr = a.data&lt;T&gt;();</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno"> 150</span> <span class="keyword">const</span> T* b_ptr = b.data&lt;T&gt;();</div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno"> 151</span> U* dst_a = out_a.data&lt;U&gt;();</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno"> 152</span> U* dst_b = out_b.data&lt;U&gt;();</div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"> 153</span> <span class="keywordtype">size_t</span> a_idx = 0;</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno"> 154</span> <span class="keywordtype">size_t</span> b_idx = 0;</div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno"> 155</span> <span class="keywordtype">size_t</span> out_idx = 0;</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno"> 156</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; a.shape()[0]; ++i) {</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno"> 157</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; a.shape()[1]; ++j) {</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno"> 158</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> k = 0; k &lt; a.shape()[2]; ++k) {</div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno"> 159</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> ii = 0; ii &lt; a.shape()[3]; ++ii) {</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno"> 160</span> <span class="keyword">auto</span> dst = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(a_ptr[a_idx], b_ptr[b_idx]);</div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno"> 161</span> dst_a[out_idx] = dst.first;</div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno"> 162</span> dst_b[out_idx++] = dst.second;</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno"> 163</span> a_idx += a.strides()[3];</div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno"> 164</span> b_idx += b.strides()[3];</div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno"> 165</span> }</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno"> 166</span> a_idx += a.strides()[2] - a.strides()[3] * a.shape()[3];</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno"> 167</span> b_idx += b.strides()[2] - b.strides()[3] * b.shape()[3];</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno"> 168</span> }</div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno"> 169</span> a_idx += a.strides()[1] - a.strides()[2] * a.shape()[2];</div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno"> 170</span> b_idx += b.strides()[1] - b.strides()[2] * b.shape()[2];</div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno"> 171</span> }</div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno"> 172</span> a_idx += a.strides()[0] - a.strides()[1] * a.shape()[1];</div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno"> 173</span> b_idx += b.strides()[0] - b.strides()[1] * b.shape()[1];</div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno"> 174</span> }</div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno"> 175</span>}</div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno"> 176</span> </div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno"> 177</span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> U, <span class="keyword">typename</span> Op&gt;</div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno"> 178</span><span class="keywordtype">void</span> binary_op_dispatch_dims(</div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno"> 179</span> <span class="keyword">const</span> array&amp; a,</div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno"> 180</span> <span class="keyword">const</span> array&amp; b,</div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno"> 181</span> array&amp; out_a,</div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno"> 182</span> array&amp; out_b,</div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno"> 183</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>) {</div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno"> 184</span> <span class="keywordflow">switch</span> (out_a.ndim()) {</div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno"> 185</span> <span class="keywordflow">case</span> 1:</div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno"> 186</span> binary_op_dims1&lt;T, U, Op&gt;(a, b, out_a, out_b, <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno"> 187</span> <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno"> 188</span> <span class="keywordflow">case</span> 2:</div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno"> 189</span> binary_op_dims2&lt;T, U, Op&gt;(a, b, out_a, out_b, <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno"> 190</span> <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno"> 191</span> <span class="keywordflow">case</span> 3:</div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno"> 192</span> binary_op_dims3&lt;T, U, Op&gt;(a, b, out_a, out_b, <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno"> 193</span> <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno"> 194</span> <span class="keywordflow">case</span> 4:</div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno"> 195</span> binary_op_dims4&lt;T, U, Op&gt;(a, b, out_a, out_b, <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno"> 196</span> <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno"> 197</span> }</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno"> 198</span> </div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno"> 199</span> <span class="keyword">const</span> T* a_ptr = a.data&lt;T&gt;();</div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno"> 200</span> <span class="keyword">const</span> T* b_ptr = b.data&lt;T&gt;();</div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno"> 201</span> U* dst_a = out_a.data&lt;U&gt;();</div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno"> 202</span> U* dst_b = out_b.data&lt;U&gt;();</div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno"> 203</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; out_a.size(); i++) {</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno"> 204</span> <span class="keywordtype">int</span> a_idx = <a class="code hl_function" href="namespacemlx_1_1core.html#a4950c3248e70280b406a4f1430a85880">elem_to_loc</a>(i, a.shape(), a.strides());</div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno"> 205</span> <span class="keywordtype">int</span> b_idx = <a class="code hl_function" href="namespacemlx_1_1core.html#a4950c3248e70280b406a4f1430a85880">elem_to_loc</a>(i, b.shape(), b.strides());</div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno"> 206</span> std::tie(dst_a[i], dst_b[i]) = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(a_ptr[a_idx], b_ptr[b_idx]);</div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno"> 207</span> }</div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno"> 208</span>}</div>
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno"> 209</span> </div>
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno"> 210</span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> U, <span class="keyword">typename</span> Op&gt;</div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno"> 211</span><span class="keywordtype">void</span> binary_op_dispatch_dims(</div>
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno"> 212</span> <span class="keyword">const</span> array&amp; a,</div>
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno"> 213</span> <span class="keyword">const</span> array&amp; b,</div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno"> 214</span> array&amp; out_a,</div>
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno"> 215</span> array&amp; out_b,</div>
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno"> 216</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>,</div>
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno"> 217</span> <span class="keywordtype">int</span> dim,</div>
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno"> 218</span> <span class="keywordtype">int</span> stride) {</div>
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno"> 219</span> <span class="comment">// Number of dimensions to loop over for vectorized ops</span></div>
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno"> 220</span> <span class="keywordflow">switch</span> (dim) {</div>
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno"> 221</span> <span class="keywordflow">case</span> 1:</div>
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno"> 222</span> binary_op_dims1&lt;T, U, Op&gt;(a, b, out_a, out_b, <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>, stride);</div>
<div class="line"><a id="l00223" name="l00223"></a><span class="lineno"> 223</span> <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00224" name="l00224"></a><span class="lineno"> 224</span> <span class="keywordflow">case</span> 2:</div>
<div class="line"><a id="l00225" name="l00225"></a><span class="lineno"> 225</span> binary_op_dims2&lt;T, U, Op&gt;(a, b, out_a, out_b, <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>, stride);</div>
<div class="line"><a id="l00226" name="l00226"></a><span class="lineno"> 226</span> <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00227" name="l00227"></a><span class="lineno"> 227</span> }</div>
<div class="line"><a id="l00228" name="l00228"></a><span class="lineno"> 228</span> </div>
<div class="line"><a id="l00229" name="l00229"></a><span class="lineno"> 229</span> <span class="keyword">const</span> T* a_ptr = a.data&lt;T&gt;();</div>
<div class="line"><a id="l00230" name="l00230"></a><span class="lineno"> 230</span> <span class="keyword">const</span> T* b_ptr = b.data&lt;T&gt;();</div>
<div class="line"><a id="l00231" name="l00231"></a><span class="lineno"> 231</span> U* dst_a = out_a.data&lt;U&gt;();</div>
<div class="line"><a id="l00232" name="l00232"></a><span class="lineno"> 232</span> U* dst_b = out_b.data&lt;U&gt;();</div>
<div class="line"><a id="l00233" name="l00233"></a><span class="lineno"> 233</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; out_a.size(); i += stride) {</div>
<div class="line"><a id="l00234" name="l00234"></a><span class="lineno"> 234</span> <span class="keywordtype">int</span> a_idx = <a class="code hl_function" href="namespacemlx_1_1core.html#a4950c3248e70280b406a4f1430a85880">elem_to_loc</a>(i, a.shape(), a.strides());</div>
<div class="line"><a id="l00235" name="l00235"></a><span class="lineno"> 235</span> <span class="keywordtype">int</span> b_idx = <a class="code hl_function" href="namespacemlx_1_1core.html#a4950c3248e70280b406a4f1430a85880">elem_to_loc</a>(i, b.shape(), b.strides());</div>
<div class="line"><a id="l00236" name="l00236"></a><span class="lineno"> 236</span> <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(a_ptr + a_idx, b_ptr + b_idx, dst_a, dst_b, stride);</div>
<div class="line"><a id="l00237" name="l00237"></a><span class="lineno"> 237</span> dst_a += stride;</div>
<div class="line"><a id="l00238" name="l00238"></a><span class="lineno"> 238</span> dst_b += stride;</div>
<div class="line"><a id="l00239" name="l00239"></a><span class="lineno"> 239</span> }</div>
<div class="line"><a id="l00240" name="l00240"></a><span class="lineno"> 240</span>}</div>
<div class="line"><a id="l00241" name="l00241"></a><span class="lineno"> 241</span> </div>
<div class="line"><a id="l00242" name="l00242"></a><span class="lineno"> 242</span><span class="keyword">template</span> &lt;</div>
<div class="line"><a id="l00243" name="l00243"></a><span class="lineno"> 243</span> <span class="keyword">typename</span> T,</div>
<div class="line"><a id="l00244" name="l00244"></a><span class="lineno"> 244</span> <span class="keyword">typename</span> U,</div>
<div class="line"><a id="l00245" name="l00245"></a><span class="lineno"> 245</span> <span class="keyword">typename</span> Op,</div>
<div class="line"><a id="l00246" name="l00246"></a><span class="lineno"> 246</span> <span class="keyword">typename</span> OpSV,</div>
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno"> 247</span> <span class="keyword">typename</span> OpVS,</div>
<div class="line"><a id="l00248" name="l00248"></a><span class="lineno"> 248</span> <span class="keyword">typename</span> OpVV&gt;</div>
<div class="line"><a id="l00249" name="l00249"></a><span class="lineno"> 249</span><span class="keywordtype">void</span> binary_op(</div>
<div class="line"><a id="l00250" name="l00250"></a><span class="lineno"> 250</span> <span class="keyword">const</span> array&amp; a,</div>
<div class="line"><a id="l00251" name="l00251"></a><span class="lineno"> 251</span> <span class="keyword">const</span> array&amp; b,</div>
<div class="line"><a id="l00252" name="l00252"></a><span class="lineno"> 252</span> array&amp; out_a,</div>
<div class="line"><a id="l00253" name="l00253"></a><span class="lineno"> 253</span> array&amp; out_b,</div>
<div class="line"><a id="l00254" name="l00254"></a><span class="lineno"> 254</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>,</div>
<div class="line"><a id="l00255" name="l00255"></a><span class="lineno"> 255</span> OpSV opsv,</div>
<div class="line"><a id="l00256" name="l00256"></a><span class="lineno"> 256</span> OpVS opvs,</div>
<div class="line"><a id="l00257" name="l00257"></a><span class="lineno"> 257</span> OpVV opvv) {</div>
<div class="line"><a id="l00258" name="l00258"></a><span class="lineno"> 258</span> <span class="keyword">auto</span> bopt = get_binary_op_type(a, b);</div>
<div class="line"><a id="l00259" name="l00259"></a><span class="lineno"> 259</span> set_binary_op_output_data(a, b, out_a, bopt);</div>
<div class="line"><a id="l00260" name="l00260"></a><span class="lineno"> 260</span> set_binary_op_output_data(a, b, out_b, bopt);</div>
<div class="line"><a id="l00261" name="l00261"></a><span class="lineno"> 261</span> </div>
<div class="line"><a id="l00262" name="l00262"></a><span class="lineno"> 262</span> <span class="comment">// The full computation is scalar scalar so call the base op once</span></div>
<div class="line"><a id="l00263" name="l00263"></a><span class="lineno"> 263</span> <span class="keywordflow">if</span> (bopt == BinaryOpType::ScalarScalar) {</div>
<div class="line"><a id="l00264" name="l00264"></a><span class="lineno"> 264</span> std::tie(*(out_a.data&lt;U&gt;()), *(out_b.data&lt;U&gt;())) =</div>
<div class="line"><a id="l00265" name="l00265"></a><span class="lineno"> 265</span> <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(*a.data&lt;T&gt;(), *b.data&lt;T&gt;());</div>
<div class="line"><a id="l00266" name="l00266"></a><span class="lineno"> 266</span> <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00267" name="l00267"></a><span class="lineno"> 267</span> }</div>
<div class="line"><a id="l00268" name="l00268"></a><span class="lineno"> 268</span> </div>
<div class="line"><a id="l00269" name="l00269"></a><span class="lineno"> 269</span> <span class="comment">// The full computation is scalar vector so delegate to the op</span></div>
<div class="line"><a id="l00270" name="l00270"></a><span class="lineno"> 270</span> <span class="keywordflow">if</span> (bopt == BinaryOpType::ScalarVector) {</div>
<div class="line"><a id="l00271" name="l00271"></a><span class="lineno"> 271</span> opsv(</div>
<div class="line"><a id="l00272" name="l00272"></a><span class="lineno"> 272</span> a.data&lt;T&gt;(),</div>
<div class="line"><a id="l00273" name="l00273"></a><span class="lineno"> 273</span> b.data&lt;T&gt;(),</div>
<div class="line"><a id="l00274" name="l00274"></a><span class="lineno"> 274</span> out_a.data&lt;U&gt;(),</div>
<div class="line"><a id="l00275" name="l00275"></a><span class="lineno"> 275</span> out_b.data&lt;U&gt;(),</div>
<div class="line"><a id="l00276" name="l00276"></a><span class="lineno"> 276</span> b.data_size());</div>
<div class="line"><a id="l00277" name="l00277"></a><span class="lineno"> 277</span> <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00278" name="l00278"></a><span class="lineno"> 278</span> }</div>
<div class="line"><a id="l00279" name="l00279"></a><span class="lineno"> 279</span> </div>
<div class="line"><a id="l00280" name="l00280"></a><span class="lineno"> 280</span> <span class="comment">// The full computation is vector scalar so delegate to the op</span></div>
<div class="line"><a id="l00281" name="l00281"></a><span class="lineno"> 281</span> <span class="keywordflow">if</span> (bopt == BinaryOpType::VectorScalar) {</div>
<div class="line"><a id="l00282" name="l00282"></a><span class="lineno"> 282</span> opvs(</div>
<div class="line"><a id="l00283" name="l00283"></a><span class="lineno"> 283</span> a.data&lt;T&gt;(),</div>
<div class="line"><a id="l00284" name="l00284"></a><span class="lineno"> 284</span> b.data&lt;T&gt;(),</div>
<div class="line"><a id="l00285" name="l00285"></a><span class="lineno"> 285</span> out_a.data&lt;U&gt;(),</div>
<div class="line"><a id="l00286" name="l00286"></a><span class="lineno"> 286</span> out_b.data&lt;U&gt;(),</div>
<div class="line"><a id="l00287" name="l00287"></a><span class="lineno"> 287</span> a.data_size());</div>
<div class="line"><a id="l00288" name="l00288"></a><span class="lineno"> 288</span> <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00289" name="l00289"></a><span class="lineno"> 289</span> }</div>
<div class="line"><a id="l00290" name="l00290"></a><span class="lineno"> 290</span> </div>
<div class="line"><a id="l00291" name="l00291"></a><span class="lineno"> 291</span> <span class="comment">// The full computation is vector vector so delegate to the op</span></div>
<div class="line"><a id="l00292" name="l00292"></a><span class="lineno"> 292</span> <span class="keywordflow">if</span> (bopt == BinaryOpType::VectorVector) {</div>
<div class="line"><a id="l00293" name="l00293"></a><span class="lineno"> 293</span> opvv(</div>
<div class="line"><a id="l00294" name="l00294"></a><span class="lineno"> 294</span> a.data&lt;T&gt;(),</div>
<div class="line"><a id="l00295" name="l00295"></a><span class="lineno"> 295</span> b.data&lt;T&gt;(),</div>
<div class="line"><a id="l00296" name="l00296"></a><span class="lineno"> 296</span> out_a.data&lt;U&gt;(),</div>
<div class="line"><a id="l00297" name="l00297"></a><span class="lineno"> 297</span> out_b.data&lt;U&gt;(),</div>
<div class="line"><a id="l00298" name="l00298"></a><span class="lineno"> 298</span> out_a.size());</div>
<div class="line"><a id="l00299" name="l00299"></a><span class="lineno"> 299</span> <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00300" name="l00300"></a><span class="lineno"> 300</span> }</div>
<div class="line"><a id="l00301" name="l00301"></a><span class="lineno"> 301</span> </div>
<div class="line"><a id="l00302" name="l00302"></a><span class="lineno"> 302</span> <span class="comment">// General computation so let&#39;s try to optimize</span></div>
<div class="line"><a id="l00303" name="l00303"></a><span class="lineno"> 303</span> </div>
<div class="line"><a id="l00304" name="l00304"></a><span class="lineno"> 304</span> <span class="comment">// Get the left-most dim such that the array is row contiguous after</span></div>
<div class="line"><a id="l00305" name="l00305"></a><span class="lineno"> 305</span> <span class="keyword">auto</span>&amp; strides = out_a.strides();</div>
<div class="line"><a id="l00306" name="l00306"></a><span class="lineno"> 306</span> <span class="keyword">auto</span> leftmost_rc_dim = [&amp;strides](<span class="keyword">const</span> array&amp; arr) {</div>
<div class="line"><a id="l00307" name="l00307"></a><span class="lineno"> 307</span> <span class="keywordtype">int</span> d = arr.ndim() - 1;</div>
<div class="line"><a id="l00308" name="l00308"></a><span class="lineno"> 308</span> <span class="keywordflow">for</span> (; d &gt;= 0 &amp;&amp; arr.strides()[d] == strides[d]; d--) {</div>
<div class="line"><a id="l00309" name="l00309"></a><span class="lineno"> 309</span> }</div>
<div class="line"><a id="l00310" name="l00310"></a><span class="lineno"> 310</span> <span class="keywordflow">return</span> d + 1;</div>
<div class="line"><a id="l00311" name="l00311"></a><span class="lineno"> 311</span> };</div>
<div class="line"><a id="l00312" name="l00312"></a><span class="lineno"> 312</span> <span class="keyword">auto</span> a_rc_dim = leftmost_rc_dim(a);</div>
<div class="line"><a id="l00313" name="l00313"></a><span class="lineno"> 313</span> <span class="keyword">auto</span> b_rc_dim = leftmost_rc_dim(b);</div>
<div class="line"><a id="l00314" name="l00314"></a><span class="lineno"> 314</span> </div>
<div class="line"><a id="l00315" name="l00315"></a><span class="lineno"> 315</span> <span class="comment">// Get the left-most dim such that the array is a broadcasted &quot;scalar&quot; after</span></div>
<div class="line"><a id="l00316" name="l00316"></a><span class="lineno"> 316</span> <span class="keyword">auto</span> leftmost_s_dim = [](<span class="keyword">const</span> array&amp; arr) {</div>
<div class="line"><a id="l00317" name="l00317"></a><span class="lineno"> 317</span> <span class="keywordtype">int</span> d = arr.ndim() - 1;</div>
<div class="line"><a id="l00318" name="l00318"></a><span class="lineno"> 318</span> <span class="keywordflow">for</span> (; d &gt;= 0 &amp;&amp; arr.strides()[d] == 0; d--) {</div>
<div class="line"><a id="l00319" name="l00319"></a><span class="lineno"> 319</span> }</div>
<div class="line"><a id="l00320" name="l00320"></a><span class="lineno"> 320</span> <span class="keywordflow">return</span> d + 1;</div>
<div class="line"><a id="l00321" name="l00321"></a><span class="lineno"> 321</span> };</div>
<div class="line"><a id="l00322" name="l00322"></a><span class="lineno"> 322</span> <span class="keyword">auto</span> a_s_dim = leftmost_s_dim(a);</div>
<div class="line"><a id="l00323" name="l00323"></a><span class="lineno"> 323</span> <span class="keyword">auto</span> b_s_dim = leftmost_s_dim(b);</div>
<div class="line"><a id="l00324" name="l00324"></a><span class="lineno"> 324</span> </div>
<div class="line"><a id="l00325" name="l00325"></a><span class="lineno"> 325</span> <span class="keyword">auto</span> ndim = out_a.ndim();</div>
<div class="line"><a id="l00326" name="l00326"></a><span class="lineno"> 326</span> </div>
<div class="line"><a id="l00327" name="l00327"></a><span class="lineno"> 327</span> <span class="comment">// Case 1: LxM and FxM where L and F are broadcastable and M is row contiguous</span></div>
<div class="line"><a id="l00328" name="l00328"></a><span class="lineno"> 328</span> <span class="keywordtype">int</span> dim = ndim;</div>
<div class="line"><a id="l00329" name="l00329"></a><span class="lineno"> 329</span> <span class="keywordflow">if</span> (<span class="keywordtype">int</span> d = std::max(a_rc_dim, b_rc_dim); d &lt; ndim) {</div>
<div class="line"><a id="l00330" name="l00330"></a><span class="lineno"> 330</span> bopt = BinaryOpType::VectorVector;</div>
<div class="line"><a id="l00331" name="l00331"></a><span class="lineno"> 331</span> dim = d;</div>
<div class="line"><a id="l00332" name="l00332"></a><span class="lineno"> 332</span> <span class="comment">// Case 2: LxM and Fx1 where L and F are broadcastable and M is row</span></div>
<div class="line"><a id="l00333" name="l00333"></a><span class="lineno"> 333</span> <span class="comment">// contiguous</span></div>
<div class="line"><a id="l00334" name="l00334"></a><span class="lineno"> 334</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<span class="keywordtype">int</span> d = std::max(a_rc_dim, b_s_dim); d &lt; ndim) {</div>
<div class="line"><a id="l00335" name="l00335"></a><span class="lineno"> 335</span> bopt = BinaryOpType::VectorScalar;</div>
<div class="line"><a id="l00336" name="l00336"></a><span class="lineno"> 336</span> dim = d;</div>
<div class="line"><a id="l00337" name="l00337"></a><span class="lineno"> 337</span> <span class="comment">// Case 3: Lx1 and FxM where L and F are broadcastable and M is row</span></div>
<div class="line"><a id="l00338" name="l00338"></a><span class="lineno"> 338</span> <span class="comment">// contiguous</span></div>
<div class="line"><a id="l00339" name="l00339"></a><span class="lineno"> 339</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<span class="keywordtype">int</span> d = std::max(a_s_dim, b_rc_dim); d &lt; ndim) {</div>
<div class="line"><a id="l00340" name="l00340"></a><span class="lineno"> 340</span> bopt = BinaryOpType::ScalarVector;</div>
<div class="line"><a id="l00341" name="l00341"></a><span class="lineno"> 341</span> dim = d;</div>
<div class="line"><a id="l00342" name="l00342"></a><span class="lineno"> 342</span> }</div>
<div class="line"><a id="l00343" name="l00343"></a><span class="lineno"> 343</span> </div>
<div class="line"><a id="l00344" name="l00344"></a><span class="lineno"> 344</span> <span class="comment">// Can be sure dim &gt; 0 since otherwise we would have used one of the fully</span></div>
<div class="line"><a id="l00345" name="l00345"></a><span class="lineno"> 345</span> <span class="comment">// contiguous methods above. Except for the case that the flags do not</span></div>
<div class="line"><a id="l00346" name="l00346"></a><span class="lineno"> 346</span> <span class="comment">// correspond to the underlying contiguity.</span></div>
<div class="line"><a id="l00347" name="l00347"></a><span class="lineno"> 347</span> <span class="keywordtype">size_t</span> stride;</div>
<div class="line"><a id="l00348" name="l00348"></a><span class="lineno"> 348</span> <span class="keywordflow">if</span> (dim == 0 || strides[dim - 1] &lt; 16) {</div>
<div class="line"><a id="l00349" name="l00349"></a><span class="lineno"> 349</span> stride = 1;</div>
<div class="line"><a id="l00350" name="l00350"></a><span class="lineno"> 350</span> bopt = BinaryOpType::General;</div>
<div class="line"><a id="l00351" name="l00351"></a><span class="lineno"> 351</span> dim = ndim;</div>
<div class="line"><a id="l00352" name="l00352"></a><span class="lineno"> 352</span> } <span class="keywordflow">else</span> {</div>
<div class="line"><a id="l00353" name="l00353"></a><span class="lineno"> 353</span> stride = strides[dim - 1];</div>
<div class="line"><a id="l00354" name="l00354"></a><span class="lineno"> 354</span> }</div>
<div class="line"><a id="l00355" name="l00355"></a><span class="lineno"> 355</span> </div>
<div class="line"><a id="l00356" name="l00356"></a><span class="lineno"> 356</span> <span class="keywordflow">switch</span> (bopt) {</div>
<div class="line"><a id="l00357" name="l00357"></a><span class="lineno"> 357</span> <span class="keywordflow">case</span> BinaryOpType::VectorVector:</div>
<div class="line"><a id="l00358" name="l00358"></a><span class="lineno"> 358</span> binary_op_dispatch_dims&lt;T, U&gt;(a, b, out_a, out_b, opvv, dim, stride);</div>
<div class="line"><a id="l00359" name="l00359"></a><span class="lineno"> 359</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00360" name="l00360"></a><span class="lineno"> 360</span> <span class="keywordflow">case</span> BinaryOpType::VectorScalar:</div>
<div class="line"><a id="l00361" name="l00361"></a><span class="lineno"> 361</span> binary_op_dispatch_dims&lt;T, U&gt;(a, b, out_a, out_b, opvs, dim, stride);</div>
<div class="line"><a id="l00362" name="l00362"></a><span class="lineno"> 362</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00363" name="l00363"></a><span class="lineno"> 363</span> <span class="keywordflow">case</span> BinaryOpType::ScalarVector:</div>
<div class="line"><a id="l00364" name="l00364"></a><span class="lineno"> 364</span> binary_op_dispatch_dims&lt;T, U&gt;(a, b, out_a, out_b, opsv, dim, stride);</div>
<div class="line"><a id="l00365" name="l00365"></a><span class="lineno"> 365</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00366" name="l00366"></a><span class="lineno"> 366</span> <span class="keywordflow">default</span>:</div>
<div class="line"><a id="l00367" name="l00367"></a><span class="lineno"> 367</span> binary_op_dispatch_dims&lt;T, U&gt;(a, b, out_a, out_b, <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
<div class="line"><a id="l00368" name="l00368"></a><span class="lineno"> 368</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00369" name="l00369"></a><span class="lineno"> 369</span> }</div>
<div class="line"><a id="l00370" name="l00370"></a><span class="lineno"> 370</span>}</div>
<div class="line"><a id="l00371" name="l00371"></a><span class="lineno"> 371</span> </div>
<div class="line"><a id="l00372" name="l00372"></a><span class="lineno"> 372</span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> Op, <span class="keyword">typename</span> OpSV, <span class="keyword">typename</span> OpVS, <span class="keyword">typename</span> OpVV&gt;</div>
<div class="line"><a id="l00373" name="l00373"></a><span class="lineno"> 373</span><span class="keywordtype">void</span> binary_op(</div>
<div class="line"><a id="l00374" name="l00374"></a><span class="lineno"> 374</span> <span class="keyword">const</span> array&amp; a,</div>
<div class="line"><a id="l00375" name="l00375"></a><span class="lineno"> 375</span> <span class="keyword">const</span> array&amp; b,</div>
<div class="line"><a id="l00376" name="l00376"></a><span class="lineno"> 376</span> std::vector&lt;array&gt;&amp; outputs,</div>
<div class="line"><a id="l00377" name="l00377"></a><span class="lineno"> 377</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>,</div>
<div class="line"><a id="l00378" name="l00378"></a><span class="lineno"> 378</span> OpSV opsv,</div>
<div class="line"><a id="l00379" name="l00379"></a><span class="lineno"> 379</span> OpVS opvs,</div>
<div class="line"><a id="l00380" name="l00380"></a><span class="lineno"> 380</span> OpVV opvv) {</div>
<div class="line"><a id="l00381" name="l00381"></a><span class="lineno"> 381</span> <span class="comment">// TODO: The following mess of constexpr evaluations can probably be achieved</span></div>
<div class="line"><a id="l00382" name="l00382"></a><span class="lineno"> 382</span> <span class="comment">// with template specializations and overloading. Would it be simpler?</span></div>
<div class="line"><a id="l00383" name="l00383"></a><span class="lineno"> 383</span> </div>
<div class="line"><a id="l00384" name="l00384"></a><span class="lineno"> 384</span> <span class="keywordflow">if</span> (std::is_same&lt;<span class="keyword">decltype</span>(opsv), UseDefaultBinaryOp&gt;::value) {</div>
<div class="line"><a id="l00385" name="l00385"></a><span class="lineno"> 385</span> <span class="keywordflow">if</span> (std::is_same&lt;<span class="keyword">decltype</span>(opvs), UseDefaultBinaryOp&gt;::value) {</div>
<div class="line"><a id="l00386" name="l00386"></a><span class="lineno"> 386</span> <span class="keywordflow">if</span> (std::is_same&lt;<span class="keyword">decltype</span>(opvv), UseDefaultBinaryOp&gt;::value) {</div>
<div class="line"><a id="l00387" name="l00387"></a><span class="lineno"> 387</span> <span class="comment">// All ops are UseDefaultBinaryOp (why oh why would someone call that?)</span></div>
<div class="line"><a id="l00388" name="l00388"></a><span class="lineno"> 388</span> binary_op&lt;T, T&gt;(</div>
<div class="line"><a id="l00389" name="l00389"></a><span class="lineno"> 389</span> a,</div>
<div class="line"><a id="l00390" name="l00390"></a><span class="lineno"> 390</span> b,</div>
<div class="line"><a id="l00391" name="l00391"></a><span class="lineno"> 391</span> outputs[0],</div>
<div class="line"><a id="l00392" name="l00392"></a><span class="lineno"> 392</span> outputs[1],</div>
<div class="line"><a id="l00393" name="l00393"></a><span class="lineno"> 393</span> <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>,</div>
<div class="line"><a id="l00394" name="l00394"></a><span class="lineno"> 394</span> DefaultScalarVector&lt;T, T, Op&gt;(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>),</div>
<div class="line"><a id="l00395" name="l00395"></a><span class="lineno"> 395</span> DefaultVectorScalar&lt;T, T, Op&gt;(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>),</div>
<div class="line"><a id="l00396" name="l00396"></a><span class="lineno"> 396</span> DefaultVectorVector&lt;T, T, Op&gt;(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>));</div>
<div class="line"><a id="l00397" name="l00397"></a><span class="lineno"> 397</span> } <span class="keywordflow">else</span> {</div>
<div class="line"><a id="l00398" name="l00398"></a><span class="lineno"> 398</span> <span class="comment">// opsv and opvs were UseDefaultBinaryOp</span></div>
<div class="line"><a id="l00399" name="l00399"></a><span class="lineno"> 399</span> binary_op&lt;T, T&gt;(</div>
<div class="line"><a id="l00400" name="l00400"></a><span class="lineno"> 400</span> a,</div>
<div class="line"><a id="l00401" name="l00401"></a><span class="lineno"> 401</span> b,</div>
<div class="line"><a id="l00402" name="l00402"></a><span class="lineno"> 402</span> outputs[0],</div>
<div class="line"><a id="l00403" name="l00403"></a><span class="lineno"> 403</span> outputs[1],</div>
<div class="line"><a id="l00404" name="l00404"></a><span class="lineno"> 404</span> <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>,</div>
<div class="line"><a id="l00405" name="l00405"></a><span class="lineno"> 405</span> DefaultScalarVector&lt;T, T, Op&gt;(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>),</div>
<div class="line"><a id="l00406" name="l00406"></a><span class="lineno"> 406</span> DefaultVectorScalar&lt;T, T, Op&gt;(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>),</div>
<div class="line"><a id="l00407" name="l00407"></a><span class="lineno"> 407</span> opvv);</div>
<div class="line"><a id="l00408" name="l00408"></a><span class="lineno"> 408</span> }</div>
<div class="line"><a id="l00409" name="l00409"></a><span class="lineno"> 409</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (std::is_same&lt;<span class="keyword">decltype</span>(opvv), UseDefaultBinaryOp&gt;::value) {</div>
<div class="line"><a id="l00410" name="l00410"></a><span class="lineno"> 410</span> <span class="comment">// opsv and opvv were UseDefaultBinaryOp</span></div>
<div class="line"><a id="l00411" name="l00411"></a><span class="lineno"> 411</span> binary_op&lt;T, T&gt;(</div>
<div class="line"><a id="l00412" name="l00412"></a><span class="lineno"> 412</span> a,</div>
<div class="line"><a id="l00413" name="l00413"></a><span class="lineno"> 413</span> b,</div>
<div class="line"><a id="l00414" name="l00414"></a><span class="lineno"> 414</span> outputs[0],</div>
<div class="line"><a id="l00415" name="l00415"></a><span class="lineno"> 415</span> outputs[1],</div>
<div class="line"><a id="l00416" name="l00416"></a><span class="lineno"> 416</span> <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>,</div>
<div class="line"><a id="l00417" name="l00417"></a><span class="lineno"> 417</span> DefaultScalarVector&lt;T, T, Op&gt;(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>),</div>
<div class="line"><a id="l00418" name="l00418"></a><span class="lineno"> 418</span> opvs,</div>
<div class="line"><a id="l00419" name="l00419"></a><span class="lineno"> 419</span> DefaultVectorVector&lt;T, T, Op&gt;(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>));</div>
<div class="line"><a id="l00420" name="l00420"></a><span class="lineno"> 420</span> } <span class="keywordflow">else</span> {</div>
<div class="line"><a id="l00421" name="l00421"></a><span class="lineno"> 421</span> <span class="comment">// opsv was UseDefaultBinaryOp</span></div>
<div class="line"><a id="l00422" name="l00422"></a><span class="lineno"> 422</span> binary_op&lt;T, T&gt;(</div>
<div class="line"><a id="l00423" name="l00423"></a><span class="lineno"> 423</span> a,</div>
<div class="line"><a id="l00424" name="l00424"></a><span class="lineno"> 424</span> b,</div>
<div class="line"><a id="l00425" name="l00425"></a><span class="lineno"> 425</span> outputs[0],</div>
<div class="line"><a id="l00426" name="l00426"></a><span class="lineno"> 426</span> outputs[1],</div>
<div class="line"><a id="l00427" name="l00427"></a><span class="lineno"> 427</span> <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>,</div>
<div class="line"><a id="l00428" name="l00428"></a><span class="lineno"> 428</span> DefaultScalarVector&lt;T, T, Op&gt;(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>),</div>
<div class="line"><a id="l00429" name="l00429"></a><span class="lineno"> 429</span> opvs,</div>
<div class="line"><a id="l00430" name="l00430"></a><span class="lineno"> 430</span> opvv);</div>
<div class="line"><a id="l00431" name="l00431"></a><span class="lineno"> 431</span> }</div>
<div class="line"><a id="l00432" name="l00432"></a><span class="lineno"> 432</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (std::is_same&lt;<span class="keyword">decltype</span>(opvs), UseDefaultBinaryOp&gt;::value) {</div>
<div class="line"><a id="l00433" name="l00433"></a><span class="lineno"> 433</span> <span class="keywordflow">if</span> (std::is_same&lt;<span class="keyword">decltype</span>(opvv), UseDefaultBinaryOp&gt;::value) {</div>
<div class="line"><a id="l00434" name="l00434"></a><span class="lineno"> 434</span> <span class="comment">// opvs and opvv were UseDefaultBinaryOp</span></div>
<div class="line"><a id="l00435" name="l00435"></a><span class="lineno"> 435</span> binary_op&lt;T, T&gt;(</div>
<div class="line"><a id="l00436" name="l00436"></a><span class="lineno"> 436</span> a,</div>
<div class="line"><a id="l00437" name="l00437"></a><span class="lineno"> 437</span> b,</div>
<div class="line"><a id="l00438" name="l00438"></a><span class="lineno"> 438</span> outputs[0],</div>
<div class="line"><a id="l00439" name="l00439"></a><span class="lineno"> 439</span> outputs[1],</div>
<div class="line"><a id="l00440" name="l00440"></a><span class="lineno"> 440</span> <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>,</div>
<div class="line"><a id="l00441" name="l00441"></a><span class="lineno"> 441</span> opsv,</div>
<div class="line"><a id="l00442" name="l00442"></a><span class="lineno"> 442</span> DefaultVectorScalar&lt;T, T, Op&gt;(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>),</div>
<div class="line"><a id="l00443" name="l00443"></a><span class="lineno"> 443</span> DefaultVectorVector&lt;T, T, Op&gt;(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>));</div>
<div class="line"><a id="l00444" name="l00444"></a><span class="lineno"> 444</span> } <span class="keywordflow">else</span> {</div>
<div class="line"><a id="l00445" name="l00445"></a><span class="lineno"> 445</span> <span class="comment">// opvs was UseDefaultBinaryOp</span></div>
<div class="line"><a id="l00446" name="l00446"></a><span class="lineno"> 446</span> binary_op&lt;T, T&gt;(</div>
<div class="line"><a id="l00447" name="l00447"></a><span class="lineno"> 447</span> a,</div>
<div class="line"><a id="l00448" name="l00448"></a><span class="lineno"> 448</span> b,</div>
<div class="line"><a id="l00449" name="l00449"></a><span class="lineno"> 449</span> outputs[0],</div>
<div class="line"><a id="l00450" name="l00450"></a><span class="lineno"> 450</span> outputs[1],</div>
<div class="line"><a id="l00451" name="l00451"></a><span class="lineno"> 451</span> <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>,</div>
<div class="line"><a id="l00452" name="l00452"></a><span class="lineno"> 452</span> opsv,</div>
<div class="line"><a id="l00453" name="l00453"></a><span class="lineno"> 453</span> DefaultVectorScalar&lt;T, T, Op&gt;(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>),</div>
<div class="line"><a id="l00454" name="l00454"></a><span class="lineno"> 454</span> opvv);</div>
<div class="line"><a id="l00455" name="l00455"></a><span class="lineno"> 455</span> }</div>
<div class="line"><a id="l00456" name="l00456"></a><span class="lineno"> 456</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (std::is_same&lt;<span class="keyword">decltype</span>(opvv), UseDefaultBinaryOp&gt;::value) {</div>
<div class="line"><a id="l00457" name="l00457"></a><span class="lineno"> 457</span> <span class="comment">// opvv was UseDefaultBinaryOp</span></div>
<div class="line"><a id="l00458" name="l00458"></a><span class="lineno"> 458</span> binary_op&lt;T, T&gt;(</div>
<div class="line"><a id="l00459" name="l00459"></a><span class="lineno"> 459</span> a,</div>
<div class="line"><a id="l00460" name="l00460"></a><span class="lineno"> 460</span> b,</div>
<div class="line"><a id="l00461" name="l00461"></a><span class="lineno"> 461</span> outputs[0],</div>
<div class="line"><a id="l00462" name="l00462"></a><span class="lineno"> 462</span> outputs[1],</div>
<div class="line"><a id="l00463" name="l00463"></a><span class="lineno"> 463</span> <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>,</div>
<div class="line"><a id="l00464" name="l00464"></a><span class="lineno"> 464</span> opsv,</div>
<div class="line"><a id="l00465" name="l00465"></a><span class="lineno"> 465</span> opvs,</div>
<div class="line"><a id="l00466" name="l00466"></a><span class="lineno"> 466</span> DefaultVectorVector&lt;T, T, Op&gt;(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>));</div>
<div class="line"><a id="l00467" name="l00467"></a><span class="lineno"> 467</span> } <span class="keywordflow">else</span> {</div>
<div class="line"><a id="l00468" name="l00468"></a><span class="lineno"> 468</span> <span class="comment">// All ops provided</span></div>
<div class="line"><a id="l00469" name="l00469"></a><span class="lineno"> 469</span> binary_op&lt;T, T&gt;(a, b, outputs[0], outputs[1], <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>, opsv, opvs, opvv);</div>
<div class="line"><a id="l00470" name="l00470"></a><span class="lineno"> 470</span> }</div>
<div class="line"><a id="l00471" name="l00471"></a><span class="lineno"> 471</span>}</div>
<div class="line"><a id="l00472" name="l00472"></a><span class="lineno"> 472</span> </div>
<div class="line"><a id="l00473" name="l00473"></a><span class="lineno"> 473</span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> Op&gt;</div>
<div class="line"><a id="l00474" name="l00474"></a><span class="lineno"> 474</span><span class="keywordtype">void</span> binary_op(</div>
<div class="line"><a id="l00475" name="l00475"></a><span class="lineno"> 475</span> <span class="keyword">const</span> array&amp; a,</div>
<div class="line"><a id="l00476" name="l00476"></a><span class="lineno"> 476</span> <span class="keyword">const</span> array&amp; b,</div>
<div class="line"><a id="l00477" name="l00477"></a><span class="lineno"> 477</span> std::vector&lt;array&gt;&amp; outputs,</div>
<div class="line"><a id="l00478" name="l00478"></a><span class="lineno"> 478</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>) {</div>
<div class="line"><a id="l00479" name="l00479"></a><span class="lineno"> 479</span> DefaultScalarVector&lt;T, T, Op&gt; opsv(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
<div class="line"><a id="l00480" name="l00480"></a><span class="lineno"> 480</span> DefaultVectorScalar&lt;T, T, Op&gt; opvs(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
<div class="line"><a id="l00481" name="l00481"></a><span class="lineno"> 481</span> DefaultVectorVector&lt;T, T, Op&gt; opvv(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
<div class="line"><a id="l00482" name="l00482"></a><span class="lineno"> 482</span> binary_op&lt;T, T&gt;(a, b, outputs[0], outputs[1], <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>, opsv, opvs, opvv);</div>
<div class="line"><a id="l00483" name="l00483"></a><span class="lineno"> 483</span>}</div>
<div class="line"><a id="l00484" name="l00484"></a><span class="lineno"> 484</span> </div>
<div class="line"><a id="l00485" name="l00485"></a><span class="lineno"> 485</span><span class="keyword">template</span> &lt;<span class="keyword">typename</span>... Ops&gt;</div>
<div class="line"><a id="l00486" name="l00486"></a><span class="lineno"> 486</span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core_1_1metal.html#a269d591ec02e2f7c0f7a718fbfa37f73">binary</a>(</div>
<div class="line"><a id="l00487" name="l00487"></a><span class="lineno"> 487</span> <span class="keyword">const</span> array&amp; a,</div>
<div class="line"><a id="l00488" name="l00488"></a><span class="lineno"> 488</span> <span class="keyword">const</span> array&amp; b,</div>
<div class="line"><a id="l00489" name="l00489"></a><span class="lineno"> 489</span> std::vector&lt;array&gt;&amp; outputs,</div>
<div class="line"><a id="l00490" name="l00490"></a><span class="lineno"> 490</span> Ops... ops) {</div>
<div class="line"><a id="l00491" name="l00491"></a><span class="lineno"> 491</span> <span class="keywordflow">switch</span> (outputs[0].dtype()) {</div>
<div class="line"><a id="l00492" name="l00492"></a><span class="lineno"> 492</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a113d2bac7e4aa6a4cb4a5c3242527b82">bool_</a>:</div>
<div class="line"><a id="l00493" name="l00493"></a><span class="lineno"> 493</span> binary_op&lt;bool&gt;(a, b, outputs, ops...);</div>
<div class="line"><a id="l00494" name="l00494"></a><span class="lineno"> 494</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00495" name="l00495"></a><span class="lineno"> 495</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a9778d50afbf456b0bd738751243b3b68">uint8</a>:</div>
<div class="line"><a id="l00496" name="l00496"></a><span class="lineno"> 496</span> binary_op&lt;uint8_t&gt;(a, b, outputs, ops...);</div>
<div class="line"><a id="l00497" name="l00497"></a><span class="lineno"> 497</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00498" name="l00498"></a><span class="lineno"> 498</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a312a70c487366968af5e6cbf5038c812">uint16</a>:</div>
<div class="line"><a id="l00499" name="l00499"></a><span class="lineno"> 499</span> binary_op&lt;uint16_t&gt;(a, b, outputs, ops...);</div>
<div class="line"><a id="l00500" name="l00500"></a><span class="lineno"> 500</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00501" name="l00501"></a><span class="lineno"> 501</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#ac63820d6fe10545907c33faf466a929e">uint32</a>:</div>
<div class="line"><a id="l00502" name="l00502"></a><span class="lineno"> 502</span> binary_op&lt;uint32_t&gt;(a, b, outputs, ops...);</div>
<div class="line"><a id="l00503" name="l00503"></a><span class="lineno"> 503</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00504" name="l00504"></a><span class="lineno"> 504</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a1f42e3dd4787d2ecec7114a12daefec8">uint64</a>:</div>
<div class="line"><a id="l00505" name="l00505"></a><span class="lineno"> 505</span> binary_op&lt;uint64_t&gt;(a, b, outputs, ops...);</div>
<div class="line"><a id="l00506" name="l00506"></a><span class="lineno"> 506</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00507" name="l00507"></a><span class="lineno"> 507</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a892e934e146dd938d144cee8813ca672">int8</a>:</div>
<div class="line"><a id="l00508" name="l00508"></a><span class="lineno"> 508</span> binary_op&lt;int8_t&gt;(a, b, outputs, ops...);</div>
<div class="line"><a id="l00509" name="l00509"></a><span class="lineno"> 509</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00510" name="l00510"></a><span class="lineno"> 510</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a71ebba4ad1afa730962f0692c4f42f07">int16</a>:</div>
<div class="line"><a id="l00511" name="l00511"></a><span class="lineno"> 511</span> binary_op&lt;int16_t&gt;(a, b, outputs, ops...);</div>
<div class="line"><a id="l00512" name="l00512"></a><span class="lineno"> 512</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00513" name="l00513"></a><span class="lineno"> 513</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a5d6373aad1444edc9de1eb07bfe5cad3">int32</a>:</div>
<div class="line"><a id="l00514" name="l00514"></a><span class="lineno"> 514</span> binary_op&lt;int32_t&gt;(a, b, outputs, ops...);</div>
<div class="line"><a id="l00515" name="l00515"></a><span class="lineno"> 515</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00516" name="l00516"></a><span class="lineno"> 516</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a9019bdc191054ada0a502c7c34cef5b8">int64</a>:</div>
<div class="line"><a id="l00517" name="l00517"></a><span class="lineno"> 517</span> binary_op&lt;int64_t&gt;(a, b, outputs, ops...);</div>
<div class="line"><a id="l00518" name="l00518"></a><span class="lineno"> 518</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00519" name="l00519"></a><span class="lineno"> 519</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#abf228ee9d8ec48c03bb15adcc4e1f3ec">float16</a>:</div>
<div class="line"><a id="l00520" name="l00520"></a><span class="lineno"> 520</span> binary_op&lt;float16_t&gt;(a, b, outputs, ops...);</div>
<div class="line"><a id="l00521" name="l00521"></a><span class="lineno"> 521</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00522" name="l00522"></a><span class="lineno"> 522</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a6894543b340321193dfb8052c438a319">float32</a>:</div>
<div class="line"><a id="l00523" name="l00523"></a><span class="lineno"> 523</span> binary_op&lt;float&gt;(a, b, outputs, ops...);</div>
<div class="line"><a id="l00524" name="l00524"></a><span class="lineno"> 524</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00525" name="l00525"></a><span class="lineno"> 525</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a514cf8b4e6f0a6af3a867e752f4338f7">bfloat16</a>:</div>
<div class="line"><a id="l00526" name="l00526"></a><span class="lineno"> 526</span> binary_op&lt;bfloat16_t&gt;(a, b, outputs, ops...);</div>
<div class="line"><a id="l00527" name="l00527"></a><span class="lineno"> 527</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00528" name="l00528"></a><span class="lineno"> 528</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#af99db87e0078bfcdb383f5689bc874d4">complex64</a>:</div>
<div class="line"><a id="l00529" name="l00529"></a><span class="lineno"> 529</span> binary_op&lt;complex64_t&gt;(a, b, outputs, ops...);</div>
<div class="line"><a id="l00530" name="l00530"></a><span class="lineno"> 530</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00531" name="l00531"></a><span class="lineno"> 531</span> }</div>
<div class="line"><a id="l00532" name="l00532"></a><span class="lineno"> 532</span>}</div>
<div class="line"><a id="l00533" name="l00533"></a><span class="lineno"> 533</span> </div>
<div class="line"><a id="l00534" name="l00534"></a><span class="lineno"> 534</span>} <span class="comment">// namespace</span></div>
<div class="line"><a id="l00535" name="l00535"></a><span class="lineno"> 535</span> </div>
<div class="line"><a id="l00536" name="l00536"></a><span class="lineno"> 536</span>} <span class="comment">// namespace mlx::core</span></div>
<div class="ttc" id="abackend_2common_2utils_8h_html"><div class="ttname"><a href="backend_2common_2utils_8h.html">utils.h</a></div></div>
<div class="ttc" id="acommon_2binary_8h_html"><div class="ttname"><a href="common_2binary_8h.html">binary.h</a></div></div>
<div class="ttc" id="acommon_2binary_8h_html_a70228731d29946574b238d21fb4b360c"><div class="ttname"><a href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a></div><div class="ttdeci">Op op</div><div class="ttdef"><b>Definition</b> binary.h:141</div></div>
<div class="ttc" id="anamespacemlx_1_1core_1_1metal_html_a269d591ec02e2f7c0f7a718fbfa37f73"><div class="ttname"><a href="namespacemlx_1_1core_1_1metal.html#a269d591ec02e2f7c0f7a718fbfa37f73">mlx::core::metal::binary</a></div><div class="ttdeci">const char * binary()</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html"><div class="ttname"><a href="namespacemlx_1_1core.html">mlx::core</a></div><div class="ttdef"><b>Definition</b> allocator.h:7</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a113d2bac7e4aa6a4cb4a5c3242527b82"><div class="ttname"><a href="namespacemlx_1_1core.html#a113d2bac7e4aa6a4cb4a5c3242527b82">mlx::core::bool_</a></div><div class="ttdeci">constexpr Dtype bool_</div><div class="ttdef"><b>Definition</b> dtype.h:60</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a1f42e3dd4787d2ecec7114a12daefec8"><div class="ttname"><a href="namespacemlx_1_1core.html#a1f42e3dd4787d2ecec7114a12daefec8">mlx::core::uint64</a></div><div class="ttdeci">constexpr Dtype uint64</div><div class="ttdef"><b>Definition</b> dtype.h:65</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a312a70c487366968af5e6cbf5038c812"><div class="ttname"><a href="namespacemlx_1_1core.html#a312a70c487366968af5e6cbf5038c812">mlx::core::uint16</a></div><div class="ttdeci">constexpr Dtype uint16</div><div class="ttdef"><b>Definition</b> dtype.h:63</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a4950c3248e70280b406a4f1430a85880"><div class="ttname"><a href="namespacemlx_1_1core.html#a4950c3248e70280b406a4f1430a85880">mlx::core::elem_to_loc</a></div><div class="ttdeci">stride_t elem_to_loc(int elem, const std::vector&lt; int &gt; &amp;shape, const std::vector&lt; stride_t &gt; &amp;strides)</div><div class="ttdef"><b>Definition</b> utils.h:12</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a514cf8b4e6f0a6af3a867e752f4338f7"><div class="ttname"><a href="namespacemlx_1_1core.html#a514cf8b4e6f0a6af3a867e752f4338f7">mlx::core::bfloat16</a></div><div class="ttdeci">constexpr Dtype bfloat16</div><div class="ttdef"><b>Definition</b> dtype.h:74</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a5d6373aad1444edc9de1eb07bfe5cad3"><div class="ttname"><a href="namespacemlx_1_1core.html#a5d6373aad1444edc9de1eb07bfe5cad3">mlx::core::int32</a></div><div class="ttdeci">constexpr Dtype int32</div><div class="ttdef"><b>Definition</b> dtype.h:69</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a6894543b340321193dfb8052c438a319"><div class="ttname"><a href="namespacemlx_1_1core.html#a6894543b340321193dfb8052c438a319">mlx::core::float32</a></div><div class="ttdeci">constexpr Dtype float32</div><div class="ttdef"><b>Definition</b> dtype.h:73</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a71ebba4ad1afa730962f0692c4f42f07"><div class="ttname"><a href="namespacemlx_1_1core.html#a71ebba4ad1afa730962f0692c4f42f07">mlx::core::int16</a></div><div class="ttdeci">constexpr Dtype int16</div><div class="ttdef"><b>Definition</b> dtype.h:68</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a892e934e146dd938d144cee8813ca672"><div class="ttname"><a href="namespacemlx_1_1core.html#a892e934e146dd938d144cee8813ca672">mlx::core::int8</a></div><div class="ttdeci">constexpr Dtype int8</div><div class="ttdef"><b>Definition</b> dtype.h:67</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a9019bdc191054ada0a502c7c34cef5b8"><div class="ttname"><a href="namespacemlx_1_1core.html#a9019bdc191054ada0a502c7c34cef5b8">mlx::core::int64</a></div><div class="ttdeci">constexpr Dtype int64</div><div class="ttdef"><b>Definition</b> dtype.h:70</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a9778d50afbf456b0bd738751243b3b68"><div class="ttname"><a href="namespacemlx_1_1core.html#a9778d50afbf456b0bd738751243b3b68">mlx::core::uint8</a></div><div class="ttdeci">constexpr Dtype uint8</div><div class="ttdef"><b>Definition</b> dtype.h:62</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_abf228ee9d8ec48c03bb15adcc4e1f3ec"><div class="ttname"><a href="namespacemlx_1_1core.html#abf228ee9d8ec48c03bb15adcc4e1f3ec">mlx::core::float16</a></div><div class="ttdeci">constexpr Dtype float16</div><div class="ttdef"><b>Definition</b> dtype.h:72</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_ac63820d6fe10545907c33faf466a929e"><div class="ttname"><a href="namespacemlx_1_1core.html#ac63820d6fe10545907c33faf466a929e">mlx::core::uint32</a></div><div class="ttdeci">constexpr Dtype uint32</div><div class="ttdef"><b>Definition</b> dtype.h:64</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_af99db87e0078bfcdb383f5689bc874d4"><div class="ttname"><a href="namespacemlx_1_1core.html#af99db87e0078bfcdb383f5689bc874d4">mlx::core::complex64</a></div><div class="ttdeci">constexpr Dtype complex64</div><div class="ttdef"><b>Definition</b> dtype.h:75</div></div>
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