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<a href="cpu_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="backend_2common_2utils_8h.html">mlx/backend/common/utils.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="cpu_2binary_8h.html">mlx/backend/cpu/binary.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, <span class="keywordtype">int</span> D&gt;</div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"> 13</span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a7ca09ebf776fe32db580f9038587ec31">binary_op_dims</a>(</div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"> 14</span> <span class="keyword">const</span> T* a,</div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">const</span> T* b,</div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno"> 16</span> U* out_a,</div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno"> 17</span> U* out_b,</div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno"> 18</span> Op op,</div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">const</span> <a class="code hl_typedef" href="namespacemlx_1_1core.html#a694e23f2d59606643728ad443d621416">Shape</a>&amp; shape,</div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno"> 20</span> <span class="keyword">const</span> <a class="code hl_typedef" href="namespacemlx_1_1core.html#a79939016d0972ded7db37130da2a8b5c">Strides</a>&amp; a_strides,</div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno"> 21</span> <span class="keyword">const</span> <a class="code hl_typedef" href="namespacemlx_1_1core.html#a79939016d0972ded7db37130da2a8b5c">Strides</a>&amp; b_strides,</div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno"> 22</span> <span class="keyword">const</span> <a class="code hl_typedef" href="namespacemlx_1_1core.html#a79939016d0972ded7db37130da2a8b5c">Strides</a>&amp; out_strides,</div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno"> 23</span> <span class="keywordtype">int</span> axis) {</div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno"> 24</span> <span class="keyword">auto</span> stride_a = a_strides[axis];</div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno"> 25</span> <span class="keyword">auto</span> stride_b = b_strides[axis];</div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno"> 26</span> <span class="keyword">auto</span> stride_out = out_strides[axis];</div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno"> 27</span> <span class="keyword">auto</span> <a class="code hl_variable" href="namespacemlx_1_1core_1_1simd.html#a12b1553495a0c99d52472bd2a6626ddb">N</a> = shape[axis];</div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno"> 28</span> </div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno"> 29</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; <a class="code hl_variable" href="namespacemlx_1_1core_1_1simd.html#a12b1553495a0c99d52472bd2a6626ddb">N</a>; i++) {</div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno"> 30</span> <span class="keywordflow">if</span> <span class="keyword">constexpr</span> (D &gt; 1) {</div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno"> 31</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a7ca09ebf776fe32db580f9038587ec31">binary_op_dims</a>&lt;T, U, Op, D - 1&gt;(</div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno"> 32</span> a,</div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno"> 33</span> b,</div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno"> 34</span> out_a,</div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno"> 35</span> out_b,</div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno"> 36</span> op,</div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno"> 37</span> shape,</div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno"> 38</span> a_strides,</div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno"> 39</span> b_strides,</div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno"> 40</span> out_strides,</div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno"> 41</span> axis + 1);</div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno"> 42</span> } <span class="keywordflow">else</span> {</div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno"> 43</span> std::tie(*out_a, *out_b) = op(*a, *b);</div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno"> 44</span> }</div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno"> 45</span> a += stride_a;</div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno"> 46</span> b += stride_b;</div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno"> 47</span> out_a += stride_out;</div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno"> 48</span> out_b += stride_out;</div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno"> 49</span> }</div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno"> 50</span>}</div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno"> 51</span> </div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno"> 52</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="l00053" name="l00053"></a><span class="lineno"> 53</span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a66c9ee5018168b9101de52e0122d9755">binary_op_dispatch_dims</a>(</div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno"> 54</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>&amp; a,</div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno"> 55</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>&amp; b,</div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno"> 56</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>&amp; out_a,</div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno"> 57</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>&amp; out_b,</div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno"> 58</span> Op op) {</div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno"> 59</span> <span class="keyword">auto</span> [shape, strides] = <a class="code hl_function" href="namespacemlx_1_1core.html#a4d594bb84abeff4619d1abb77b20123e">collapse_contiguous_dims</a>(</div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno"> 60</span> a.shape(), {a.strides(), b.strides(), out_a.strides()});</div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno"> 61</span> <span class="keyword">const</span> <span class="keyword">auto</span>&amp; a_strides = strides[0];</div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno"> 62</span> <span class="keyword">const</span> <span class="keyword">auto</span>&amp; b_strides = strides[1];</div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno"> 63</span> <span class="keyword">const</span> <span class="keyword">auto</span>&amp; out_strides = strides[2];</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* out_a_ptr = out_a.data&lt;U&gt;();</div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno"> 67</span> U* out_b_ptr = out_b.data&lt;U&gt;();</div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno"> 68</span> </div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno"> 69</span> <span class="keywordtype">int</span> ndim = shape.size();</div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno"> 70</span> <span class="keywordflow">switch</span> (ndim) {</div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno"> 71</span> <span class="keywordflow">case</span> 1:</div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno"> 72</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a7ca09ebf776fe32db580f9038587ec31">binary_op_dims&lt;T, U, Op, 1&gt;</a>(</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno"> 73</span> a_ptr,</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno"> 74</span> b_ptr,</div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno"> 75</span> out_a_ptr,</div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno"> 76</span> out_b_ptr,</div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno"> 77</span> op,</div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno"> 78</span> shape,</div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno"> 79</span> a_strides,</div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"> 80</span> b_strides,</div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno"> 81</span> out_strides,</div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno"> 82</span> 0);</div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno"> 83</span> <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno"> 84</span> <span class="keywordflow">case</span> 2:</div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno"> 85</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a7ca09ebf776fe32db580f9038587ec31">binary_op_dims&lt;T, U, Op, 2&gt;</a>(</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno"> 86</span> a_ptr,</div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"> 87</span> b_ptr,</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno"> 88</span> out_a_ptr,</div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno"> 89</span> out_b_ptr,</div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno"> 90</span> op,</div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno"> 91</span> shape,</div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno"> 92</span> a_strides,</div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno"> 93</span> b_strides,</div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno"> 94</span> out_strides,</div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno"> 95</span> 0);</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno"> 96</span> <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno"> 97</span> }</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno"> 98</span> </div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno"> 99</span> <a class="code hl_struct" href="structmlx_1_1core_1_1_contiguous_iterator.html">ContiguousIterator</a> a_it(shape, a_strides, ndim - 2);</div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno"> 100</span> <a class="code hl_struct" href="structmlx_1_1core_1_1_contiguous_iterator.html">ContiguousIterator</a> b_it(shape, b_strides, ndim - 2);</div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno"> 101</span> <span class="keyword">auto</span> stride = out_strides[ndim - 3];</div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno"> 102</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> elem = 0; elem &lt; a.size(); elem += stride) {</div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno"> 103</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a7ca09ebf776fe32db580f9038587ec31">binary_op_dims&lt;T, U, Op, 2&gt;</a>(</div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno"> 104</span> a_ptr + a_it.loc,</div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno"> 105</span> b_ptr + b_it.loc,</div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno"> 106</span> out_a_ptr + elem,</div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno"> 107</span> out_b_ptr + elem,</div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno"> 108</span> op,</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno"> 109</span> shape,</div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"> 110</span> a_strides,</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno"> 111</span> b_strides,</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno"> 112</span> out_strides,</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno"> 113</span> ndim - 2);</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno"> 114</span> a_it.step();</div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno"> 115</span> b_it.step();</div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno"> 116</span> }</div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno"> 117</span>}</div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno"> 118</span> </div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno"> 119</span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> U = T, <span class="keyword">typename</span> Op&gt;</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno"> 120</span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op</a>(</div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno"> 121</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>&amp; a,</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno"> 122</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>&amp; b,</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno"> 123</span> std::vector&lt;array&gt;&amp; outputs,</div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno"> 124</span> Op op) {</div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno"> 125</span> <span class="keyword">auto</span> bopt = <a class="code hl_function" href="namespacemlx_1_1core.html#a24eef9908f164adeece3be7c6924919a">get_binary_op_type</a>(a, b);</div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno"> 126</span> <span class="keyword">auto</span>&amp; out_a = outputs[0];</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno"> 127</span> <span class="keyword">auto</span>&amp; out_b = outputs[1];</div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno"> 128</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a6a52856325c2eb031d3983eba2108d59">set_binary_op_output_data</a>(a, b, out_a, bopt);</div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno"> 129</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a6a52856325c2eb031d3983eba2108d59">set_binary_op_output_data</a>(a, b, out_b, bopt);</div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno"> 130</span> </div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno"> 131</span> <span class="comment">// The full computation is scalar scalar so call the base op once</span></div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno"> 132</span> <span class="keywordflow">if</span> (bopt == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a0db377921f4ce762c62526131097968f">BinaryOpType::General</a>) {</div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno"> 133</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a66c9ee5018168b9101de52e0122d9755">binary_op_dispatch_dims&lt;T, U, Op&gt;</a>(a, b, out_a, out_b, op);</div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno"> 134</span> <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno"> 135</span> }</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> <span class="keyword">auto</span> a_ptr = a.data&lt;T&gt;();</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno"> 138</span> <span class="keyword">auto</span> b_ptr = b.data&lt;T&gt;();</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno"> 139</span> <span class="keyword">auto</span> out_a_ptr = out_a.data&lt;U&gt;();</div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno"> 140</span> <span class="keyword">auto</span> out_b_ptr = out_b.data&lt;U&gt;();</div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno"> 141</span> <span class="keywordflow">if</span> (bopt == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a7b15cb76e0535ea81a5b6af9c96dcde4">BinaryOpType::ScalarScalar</a>) {</div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno"> 142</span> std::tie(*out_a_ptr, *out_b_ptr) = op(*a_ptr, *b_ptr);</div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno"> 143</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (bopt == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6aabac63719294588466e3c2f00cccb0a6">BinaryOpType::ScalarVector</a>) {</div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno"> 144</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; b.size(); ++i) {</div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"> 145</span> std::tie(*out_a_ptr, *out_b_ptr) = op(*a_ptr, *b_ptr);</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno"> 146</span> out_a_ptr++;</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno"> 147</span> out_b_ptr++;</div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno"> 148</span> b_ptr++;</div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno"> 149</span> }</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno"> 150</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (bopt == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a8a94416459b638cebf3bfbce26a6ce78">BinaryOpType::VectorScalar</a>) {</div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno"> 151</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; a.size(); ++i) {</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno"> 152</span> std::tie(*out_a_ptr, *out_b_ptr) = op(*a_ptr, *b_ptr);</div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"> 153</span> out_a_ptr++;</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno"> 154</span> out_b_ptr++;</div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno"> 155</span> a_ptr++;</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno"> 156</span> }</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno"> 157</span> } <span class="keywordflow">else</span> { <span class="comment">// VectorVector</span></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> i = 0; i &lt; a.size(); ++i) {</div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno"> 159</span> std::tie(*out_a_ptr, *out_b_ptr) = op(*a_ptr, *b_ptr);</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno"> 160</span> out_a_ptr++;</div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno"> 161</span> out_b_ptr++;</div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno"> 162</span> a_ptr++;</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno"> 163</span> b_ptr++;</div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno"> 164</span> }</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>}</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno"> 167</span> </div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno"> 168</span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> Op&gt;</div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno"> 169</span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core.html#ae374861abd45cf019c3e6be2026f3798">binary</a>(</div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno"> 170</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>&amp; a,</div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno"> 171</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>&amp; b,</div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno"> 172</span> std::vector&lt;array&gt;&amp; outputs,</div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno"> 173</span> Op op) {</div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno"> 174</span> <span class="keywordflow">switch</span> (outputs[0].dtype()) {</div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno"> 175</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="l00176" name="l00176"></a><span class="lineno"> 176</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op&lt;bool&gt;</a>(a, b, outputs, op);</div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno"> 177</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno"> 178</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="l00179" name="l00179"></a><span class="lineno"> 179</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op&lt;uint8_t&gt;</a>(a, b, outputs, op);</div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno"> 180</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno"> 181</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="l00182" name="l00182"></a><span class="lineno"> 182</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op&lt;uint16_t&gt;</a>(a, b, outputs, op);</div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno"> 183</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno"> 184</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="l00185" name="l00185"></a><span class="lineno"> 185</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op&lt;uint32_t&gt;</a>(a, b, outputs, op);</div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno"> 186</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno"> 187</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="l00188" name="l00188"></a><span class="lineno"> 188</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op&lt;uint64_t&gt;</a>(a, b, outputs, op);</div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno"> 189</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno"> 190</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="l00191" name="l00191"></a><span class="lineno"> 191</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op&lt;int8_t&gt;</a>(a, b, outputs, op);</div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno"> 192</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno"> 193</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="l00194" name="l00194"></a><span class="lineno"> 194</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op&lt;int16_t&gt;</a>(a, b, outputs, op);</div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno"> 195</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno"> 196</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="l00197" name="l00197"></a><span class="lineno"> 197</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op&lt;int32_t&gt;</a>(a, b, outputs, op);</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno"> 198</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno"> 199</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="l00200" name="l00200"></a><span class="lineno"> 200</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op&lt;int64_t&gt;</a>(a, b, outputs, op);</div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno"> 201</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno"> 202</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="l00203" name="l00203"></a><span class="lineno"> 203</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op&lt;float16_t&gt;</a>(a, b, outputs, op);</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno"> 204</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno"> 205</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="l00206" name="l00206"></a><span class="lineno"> 206</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op&lt;float&gt;</a>(a, b, outputs, op);</div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno"> 207</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno"> 208</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a474bf5eb8bca8c380207c9f659aef3b1">float64</a>:</div>
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno"> 209</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op&lt;double&gt;</a>(a, b, outputs, op);</div>
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno"> 210</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno"> 211</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="l00212" name="l00212"></a><span class="lineno"> 212</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op&lt;bfloat16_t&gt;</a>(a, b, outputs, op);</div>
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno"> 213</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno"> 214</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="l00215" name="l00215"></a><span class="lineno"> 215</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op&lt;complex64_t&gt;</a>(a, b, outputs, op);</div>
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno"> 216</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno"> 217</span> }</div>
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno"> 218</span>}</div>
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno"> 219</span> </div>
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno"> 220</span>} <span class="comment">// namespace</span></div>
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno"> 221</span> </div>
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno"> 222</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="aclassmlx_1_1core_1_1array_html"><div class="ttname"><a href="classmlx_1_1core_1_1array.html">mlx::core::array</a></div><div class="ttdef"><b>Definition</b> array.h:24</div></div>
<div class="ttc" id="acpu_2binary_8h_html"><div class="ttname"><a href="cpu_2binary_8h.html">binary.h</a></div></div>
<div class="ttc" id="anamespacemlx_1_1core_1_1simd_html_a12b1553495a0c99d52472bd2a6626ddb"><div class="ttname"><a href="namespacemlx_1_1core_1_1simd.html#a12b1553495a0c99d52472bd2a6626ddb">mlx::core::simd::N</a></div><div class="ttdeci">constexpr int N</div><div class="ttdef"><b>Definition</b> neon_fp16_simd.h:9</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:68</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:73</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a24eef9908f164adeece3be7c6924919a"><div class="ttname"><a href="namespacemlx_1_1core.html#a24eef9908f164adeece3be7c6924919a">mlx::core::get_binary_op_type</a></div><div class="ttdeci">BinaryOpType get_binary_op_type(const array &amp;a, const array &amp;b)</div><div class="ttdef"><b>Definition</b> binary.h:19</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:71</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a474bf5eb8bca8c380207c9f659aef3b1"><div class="ttname"><a href="namespacemlx_1_1core.html#a474bf5eb8bca8c380207c9f659aef3b1">mlx::core::float64</a></div><div class="ttdeci">constexpr Dtype float64</div><div class="ttdef"><b>Definition</b> dtype.h:82</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a4d594bb84abeff4619d1abb77b20123e"><div class="ttname"><a href="namespacemlx_1_1core.html#a4d594bb84abeff4619d1abb77b20123e">mlx::core::collapse_contiguous_dims</a></div><div class="ttdeci">std::tuple&lt; Shape, std::vector&lt; Strides &gt; &gt; collapse_contiguous_dims(const Shape &amp;shape, const std::vector&lt; Strides &gt; &amp;strides, int64_t size_cap=std::numeric_limits&lt; int32_t &gt;::max())</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:83</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a546e3d3c8957fbf2758f9504f4a2d0b6a0db377921f4ce762c62526131097968f"><div class="ttname"><a href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a0db377921f4ce762c62526131097968f">mlx::core::BinaryOpType::General</a></div><div class="ttdeci">@ General</div><div class="ttdef"><b>Definition</b> binary.h:16</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a546e3d3c8957fbf2758f9504f4a2d0b6a7b15cb76e0535ea81a5b6af9c96dcde4"><div class="ttname"><a href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a7b15cb76e0535ea81a5b6af9c96dcde4">mlx::core::BinaryOpType::ScalarScalar</a></div><div class="ttdeci">@ ScalarScalar</div><div class="ttdef"><b>Definition</b> binary.h:12</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a546e3d3c8957fbf2758f9504f4a2d0b6a8a94416459b638cebf3bfbce26a6ce78"><div class="ttname"><a href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a8a94416459b638cebf3bfbce26a6ce78">mlx::core::BinaryOpType::VectorScalar</a></div><div class="ttdeci">@ VectorScalar</div><div class="ttdef"><b>Definition</b> binary.h:14</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a546e3d3c8957fbf2758f9504f4a2d0b6aabac63719294588466e3c2f00cccb0a6"><div class="ttname"><a href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6aabac63719294588466e3c2f00cccb0a6">mlx::core::BinaryOpType::ScalarVector</a></div><div class="ttdeci">@ ScalarVector</div><div class="ttdef"><b>Definition</b> binary.h:13</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:77</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a66c9ee5018168b9101de52e0122d9755"><div class="ttname"><a href="namespacemlx_1_1core.html#a66c9ee5018168b9101de52e0122d9755">mlx::core::binary_op_dispatch_dims</a></div><div class="ttdeci">void binary_op_dispatch_dims(const array &amp;a, const array &amp;b, array &amp;out, Op op, int dim, const Shape &amp;shape, const Strides &amp;a_strides, const Strides &amp;b_strides, const Strides &amp;out_strides)</div><div class="ttdef"><b>Definition</b> binary.h:122</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:81</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a694e23f2d59606643728ad443d621416"><div class="ttname"><a href="namespacemlx_1_1core.html#a694e23f2d59606643728ad443d621416">mlx::core::Shape</a></div><div class="ttdeci">std::vector&lt; ShapeElem &gt; Shape</div><div class="ttdef"><b>Definition</b> array.h:21</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a6a52856325c2eb031d3983eba2108d59"><div class="ttname"><a href="namespacemlx_1_1core.html#a6a52856325c2eb031d3983eba2108d59">mlx::core::set_binary_op_output_data</a></div><div class="ttdeci">void set_binary_op_output_data(const array &amp;a, const array &amp;b, array &amp;out, BinaryOpType bopt, bool donate_with_move=false)</div><div class="ttdef"><b>Definition</b> binary.h:37</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:76</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a79939016d0972ded7db37130da2a8b5c"><div class="ttname"><a href="namespacemlx_1_1core.html#a79939016d0972ded7db37130da2a8b5c">mlx::core::Strides</a></div><div class="ttdeci">std::vector&lt; int64_t &gt; Strides</div><div class="ttdef"><b>Definition</b> array.h:22</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a7ca09ebf776fe32db580f9038587ec31"><div class="ttname"><a href="namespacemlx_1_1core.html#a7ca09ebf776fe32db580f9038587ec31">mlx::core::binary_op_dims</a></div><div class="ttdeci">void binary_op_dims(const T *a, const T *b, U *out, Op op, const Shape &amp;shape, const Strides &amp;a_strides, const Strides &amp;b_strides, const Strides &amp;out_strides, int axis)</div><div class="ttdef"><b>Definition</b> binary.h:89</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:75</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:78</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:70</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_a9c1c1fdf9a0840a16a4d10a8f74f761d"><div class="ttname"><a href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">mlx::core::binary_op</a></div><div class="ttdeci">void binary_op(const array &amp;a, const array &amp;b, array &amp;out, Op op)</div><div class="ttdef"><b>Definition</b> binary.h:194</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:80</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:72</div></div>
<div class="ttc" id="anamespacemlx_1_1core_html_ae374861abd45cf019c3e6be2026f3798"><div class="ttname"><a href="namespacemlx_1_1core.html#ae374861abd45cf019c3e6be2026f3798">mlx::core::binary</a></div><div class="ttdeci">void binary(const array &amp;a, const array &amp;b, array &amp;out, Op op)</div><div class="ttdef"><b>Definition</b> binary.h:326</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:84</div></div>
<div class="ttc" id="astructmlx_1_1core_1_1_contiguous_iterator_html"><div class="ttname"><a href="structmlx_1_1core_1_1_contiguous_iterator.html">mlx::core::ContiguousIterator</a></div><div class="ttdef"><b>Definition</b> utils.h:73</div></div>
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