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<a href="cpu_2ternary_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>
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<div class="line"><a id="l00002" name="l00002"></a><span class="lineno"> 2</span> </div>
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<div class="line"><a id="l00003" name="l00003"></a><span class="lineno"> 3</span><span class="preprocessor">#pragma once</span></div>
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<div class="line"><a id="l00004" name="l00004"></a><span class="lineno"> 4</span><span class="preprocessor">#include "<a class="code" href="allocator_8h.html">mlx/allocator.h</a>"</span></div>
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<div class="line"><a id="l00005" name="l00005"></a><span class="lineno"> 5</span><span class="preprocessor">#include "<a class="code" href="array_8h.html">mlx/array.h</a>"</span></div>
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<div class="line"><a id="l00006" name="l00006"></a><span class="lineno"> 6</span><span class="preprocessor">#include "<a class="code" href="common_2ternary_8h.html">mlx/backend/common/ternary.h</a>"</span></div>
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<div class="line"><a id="l00007" name="l00007"></a><span class="lineno"> 7</span><span class="preprocessor">#include "<a class="code" href="backend_2common_2utils_8h.html">mlx/backend/common/utils.h</a>"</span></div>
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<div class="line"><a id="l00008" name="l00008"></a><span class="lineno"> 8</span> </div>
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<div class="line"><a id="l00009" name="l00009"></a><span class="lineno"> 9</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespacemlx_1_1core.html">mlx::core</a> {</div>
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<div class="line"><a id="l00010" name="l00010"></a><span class="lineno"> 10</span> </div>
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<div class="line"><a id="l00011" name="l00011"></a><span class="lineno"> 11</span><span class="keyword">template</span> <<span class="keyword">typename</span> T1, <span class="keyword">typename</span> T2, <span class="keyword">typename</span> T3, <span class="keyword">typename</span> U, <span class="keyword">typename</span> Op, <span class="keywordtype">int</span> D></div>
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<div class="foldopen" id="foldopen00012" data-start="{" data-end="}">
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<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#a8096c7a688ac3f09cca69a3a85f7f157"> 12</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a8096c7a688ac3f09cca69a3a85f7f157">ternary_op_dims</a>(</div>
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<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">const</span> T1* a,</div>
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<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"> 14</span> <span class="keyword">const</span> T2* b,</div>
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<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">const</span> T3* c,</div>
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<div class="line"><a id="l00016" name="l00016"></a><span class="lineno"> 16</span> U* out,</div>
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<div class="line"><a id="l00017" name="l00017"></a><span class="lineno"> 17</span> Op op,</div>
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<div class="line"><a id="l00018" name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">const</span> <a class="code hl_typedef" href="namespacemlx_1_1core.html#a694e23f2d59606643728ad443d621416">Shape</a>& shape,</div>
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<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#a79939016d0972ded7db37130da2a8b5c">Strides</a>& a_strides,</div>
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<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>& b_strides,</div>
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<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>& c_strides,</div>
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<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>& out_strides,</div>
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<div class="line"><a id="l00023" name="l00023"></a><span class="lineno"> 23</span> <span class="keywordtype">int</span> axis) {</div>
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<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>
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<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>
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<div class="line"><a id="l00026" name="l00026"></a><span class="lineno"> 26</span> <span class="keyword">auto</span> stride_c = c_strides[axis];</div>
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<div class="line"><a id="l00027" name="l00027"></a><span class="lineno"> 27</span> <span class="keyword">auto</span> stride_out = out_strides[axis];</div>
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<div class="line"><a id="l00028" name="l00028"></a><span class="lineno"> 28</span> <span class="keyword">auto</span> N = shape[axis];</div>
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<div class="line"><a id="l00029" name="l00029"></a><span class="lineno"> 29</span> </div>
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<div class="line"><a id="l00030" name="l00030"></a><span class="lineno"> 30</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; i++) {</div>
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<div class="line"><a id="l00031" name="l00031"></a><span class="lineno"> 31</span> <span class="keywordflow">if</span> <span class="keyword">constexpr</span> (D > 1) {</div>
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<div class="line"><a id="l00032" name="l00032"></a><span class="lineno"> 32</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a8096c7a688ac3f09cca69a3a85f7f157">ternary_op_dims</a><T1, T2, T3, U, Op, D - 1>(</div>
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<div class="line"><a id="l00033" name="l00033"></a><span class="lineno"> 33</span> a,</div>
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<div class="line"><a id="l00034" name="l00034"></a><span class="lineno"> 34</span> b,</div>
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<div class="line"><a id="l00035" name="l00035"></a><span class="lineno"> 35</span> c,</div>
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<div class="line"><a id="l00036" name="l00036"></a><span class="lineno"> 36</span> out,</div>
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<div class="line"><a id="l00037" name="l00037"></a><span class="lineno"> 37</span> op,</div>
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<div class="line"><a id="l00038" name="l00038"></a><span class="lineno"> 38</span> shape,</div>
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<div class="line"><a id="l00039" name="l00039"></a><span class="lineno"> 39</span> a_strides,</div>
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<div class="line"><a id="l00040" name="l00040"></a><span class="lineno"> 40</span> b_strides,</div>
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<div class="line"><a id="l00041" name="l00041"></a><span class="lineno"> 41</span> c_strides,</div>
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<div class="line"><a id="l00042" name="l00042"></a><span class="lineno"> 42</span> out_strides,</div>
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<div class="line"><a id="l00043" name="l00043"></a><span class="lineno"> 43</span> axis + 1);</div>
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<div class="line"><a id="l00044" name="l00044"></a><span class="lineno"> 44</span> } <span class="keywordflow">else</span> {</div>
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<div class="line"><a id="l00045" name="l00045"></a><span class="lineno"> 45</span> *out = op(*a, *b, *c);</div>
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<div class="line"><a id="l00046" name="l00046"></a><span class="lineno"> 46</span> }</div>
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<div class="line"><a id="l00047" name="l00047"></a><span class="lineno"> 47</span> a += stride_a;</div>
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<div class="line"><a id="l00048" name="l00048"></a><span class="lineno"> 48</span> b += stride_b;</div>
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<div class="line"><a id="l00049" name="l00049"></a><span class="lineno"> 49</span> c += stride_c;</div>
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<div class="line"><a id="l00050" name="l00050"></a><span class="lineno"> 50</span> out += stride_out;</div>
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<div class="line"><a id="l00051" name="l00051"></a><span class="lineno"> 51</span> }</div>
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<div class="line"><a id="l00052" name="l00052"></a><span class="lineno"> 52</span>}</div>
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</div>
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<div class="line"><a id="l00053" name="l00053"></a><span class="lineno"> 53</span> </div>
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<div class="line"><a id="l00054" name="l00054"></a><span class="lineno"> 54</span><span class="keyword">template</span> <<span class="keyword">typename</span> T1, <span class="keyword">typename</span> T2, <span class="keyword">typename</span> T3, <span class="keyword">typename</span> U, <span class="keyword">typename</span> Op></div>
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<div class="foldopen" id="foldopen00055" data-start="{" data-end="}">
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<div class="line"><a id="l00055" name="l00055"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#ac1c085e305954247d042f5d8803cd85b"> 55</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core.html#ac1c085e305954247d042f5d8803cd85b">ternary_op_dispatch_dims</a>(</div>
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<div class="line"><a id="l00056" name="l00056"></a><span class="lineno"> 56</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& a,</div>
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<div class="line"><a id="l00057" name="l00057"></a><span class="lineno"> 57</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& b,</div>
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<div class="line"><a id="l00058" name="l00058"></a><span class="lineno"> 58</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& c,</div>
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<div class="line"><a id="l00059" name="l00059"></a><span class="lineno"> 59</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& out,</div>
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<div class="line"><a id="l00060" name="l00060"></a><span class="lineno"> 60</span> Op op) {</div>
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<div class="line"><a id="l00061" name="l00061"></a><span class="lineno"> 61</span> <span class="keyword">auto</span> [shape, strides] = <a class="code hl_function" href="namespacemlx_1_1core.html#a4d594bb84abeff4619d1abb77b20123e">collapse_contiguous_dims</a>(</div>
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<div class="line"><a id="l00062" name="l00062"></a><span class="lineno"> 62</span> a.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a1d06c76b0f3010a5c329d0e9e29e0597">shape</a>(), {a.strides(), b.strides(), c.strides(), out.strides()});</div>
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<div class="line"><a id="l00063" name="l00063"></a><span class="lineno"> 63</span> <span class="keyword">const</span> <span class="keyword">auto</span>& a_strides = strides[0];</div>
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<div class="line"><a id="l00064" name="l00064"></a><span class="lineno"> 64</span> <span class="keyword">const</span> <span class="keyword">auto</span>& b_strides = strides[1];</div>
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<div class="line"><a id="l00065" name="l00065"></a><span class="lineno"> 65</span> <span class="keyword">const</span> <span class="keyword">auto</span>& c_strides = strides[2];</div>
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<div class="line"><a id="l00066" name="l00066"></a><span class="lineno"> 66</span> <span class="keyword">const</span> <span class="keyword">auto</span>& out_strides = strides[3];</div>
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<div class="line"><a id="l00067" name="l00067"></a><span class="lineno"> 67</span> </div>
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<div class="line"><a id="l00068" name="l00068"></a><span class="lineno"> 68</span> <span class="keyword">const</span> T1* a_ptr = a.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T1>();</div>
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<div class="line"><a id="l00069" name="l00069"></a><span class="lineno"> 69</span> <span class="keyword">const</span> T2* b_ptr = b.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T2>();</div>
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<div class="line"><a id="l00070" name="l00070"></a><span class="lineno"> 70</span> <span class="keyword">const</span> T3* c_ptr = c.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T3>();</div>
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<div class="line"><a id="l00071" name="l00071"></a><span class="lineno"> 71</span> U* out_ptr = out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T3>();</div>
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<div class="line"><a id="l00072" name="l00072"></a><span class="lineno"> 72</span> <span class="keywordtype">int</span> ndim = shape.size();</div>
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<div class="line"><a id="l00073" name="l00073"></a><span class="lineno"> 73</span> <span class="keywordflow">switch</span> (ndim) {</div>
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<div class="line"><a id="l00074" name="l00074"></a><span class="lineno"> 74</span> <span class="keywordflow">case</span> 1:</div>
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<div class="line"><a id="l00075" name="l00075"></a><span class="lineno"> 75</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a8096c7a688ac3f09cca69a3a85f7f157">ternary_op_dims<T1, T2, T3, U, Op, 1></a>(</div>
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<div class="line"><a id="l00076" name="l00076"></a><span class="lineno"> 76</span> a_ptr,</div>
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<div class="line"><a id="l00077" name="l00077"></a><span class="lineno"> 77</span> b_ptr,</div>
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<div class="line"><a id="l00078" name="l00078"></a><span class="lineno"> 78</span> c_ptr,</div>
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<div class="line"><a id="l00079" name="l00079"></a><span class="lineno"> 79</span> out_ptr,</div>
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<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"> 80</span> op,</div>
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<div class="line"><a id="l00081" name="l00081"></a><span class="lineno"> 81</span> shape,</div>
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<div class="line"><a id="l00082" name="l00082"></a><span class="lineno"> 82</span> a_strides,</div>
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<div class="line"><a id="l00083" name="l00083"></a><span class="lineno"> 83</span> b_strides,</div>
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<div class="line"><a id="l00084" name="l00084"></a><span class="lineno"> 84</span> c_strides,</div>
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<div class="line"><a id="l00085" name="l00085"></a><span class="lineno"> 85</span> out_strides,</div>
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<div class="line"><a id="l00086" name="l00086"></a><span class="lineno"> 86</span> 0);</div>
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<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"> 87</span> <span class="keywordflow">return</span>;</div>
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<div class="line"><a id="l00088" name="l00088"></a><span class="lineno"> 88</span> <span class="keywordflow">case</span> 2:</div>
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<div class="line"><a id="l00089" name="l00089"></a><span class="lineno"> 89</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a8096c7a688ac3f09cca69a3a85f7f157">ternary_op_dims<T1, T2, T3, U, Op, 2></a>(</div>
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<div class="line"><a id="l00090" name="l00090"></a><span class="lineno"> 90</span> a_ptr,</div>
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<div class="line"><a id="l00091" name="l00091"></a><span class="lineno"> 91</span> b_ptr,</div>
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<div class="line"><a id="l00092" name="l00092"></a><span class="lineno"> 92</span> c_ptr,</div>
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<div class="line"><a id="l00093" name="l00093"></a><span class="lineno"> 93</span> out_ptr,</div>
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<div class="line"><a id="l00094" name="l00094"></a><span class="lineno"> 94</span> op,</div>
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<div class="line"><a id="l00095" name="l00095"></a><span class="lineno"> 95</span> shape,</div>
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<div class="line"><a id="l00096" name="l00096"></a><span class="lineno"> 96</span> a_strides,</div>
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<div class="line"><a id="l00097" name="l00097"></a><span class="lineno"> 97</span> b_strides,</div>
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<div class="line"><a id="l00098" name="l00098"></a><span class="lineno"> 98</span> c_strides,</div>
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<div class="line"><a id="l00099" name="l00099"></a><span class="lineno"> 99</span> out_strides,</div>
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<div class="line"><a id="l00100" name="l00100"></a><span class="lineno"> 100</span> 0);</div>
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<div class="line"><a id="l00101" name="l00101"></a><span class="lineno"> 101</span> <span class="keywordflow">return</span>;</div>
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<div class="line"><a id="l00102" name="l00102"></a><span class="lineno"> 102</span> }</div>
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<div class="line"><a id="l00103" name="l00103"></a><span class="lineno"> 103</span> </div>
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<div class="line"><a id="l00104" name="l00104"></a><span class="lineno"> 104</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>
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<div class="line"><a id="l00105" name="l00105"></a><span class="lineno"> 105</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>
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<div class="line"><a id="l00106" name="l00106"></a><span class="lineno"> 106</span> <a class="code hl_struct" href="structmlx_1_1core_1_1_contiguous_iterator.html">ContiguousIterator</a> c_it(shape, c_strides, ndim - 2);</div>
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<div class="line"><a id="l00107" name="l00107"></a><span class="lineno"> 107</span> <span class="keyword">auto</span> stride = out_strides[ndim - 3];</div>
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<div class="line"><a id="l00108" name="l00108"></a><span class="lineno"> 108</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> elem = 0; elem < a.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a598f87161926d9e0b516860f0ea2c8f6">size</a>(); elem += stride) {</div>
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<div class="line"><a id="l00109" name="l00109"></a><span class="lineno"> 109</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a8096c7a688ac3f09cca69a3a85f7f157">ternary_op_dims<T1, T2, T3, U, Op, 2></a>(</div>
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<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"> 110</span> a_ptr + a_it.<a class="code hl_variable" href="structmlx_1_1core_1_1_contiguous_iterator.html#a5ea4f0e40900e8c7e0830e1fb561af1a">loc</a>,</div>
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<div class="line"><a id="l00111" name="l00111"></a><span class="lineno"> 111</span> b_ptr + b_it.<a class="code hl_variable" href="structmlx_1_1core_1_1_contiguous_iterator.html#a5ea4f0e40900e8c7e0830e1fb561af1a">loc</a>,</div>
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<div class="line"><a id="l00112" name="l00112"></a><span class="lineno"> 112</span> c_ptr + c_it.<a class="code hl_variable" href="structmlx_1_1core_1_1_contiguous_iterator.html#a5ea4f0e40900e8c7e0830e1fb561af1a">loc</a>,</div>
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<div class="line"><a id="l00113" name="l00113"></a><span class="lineno"> 113</span> out_ptr + elem,</div>
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<div class="line"><a id="l00114" name="l00114"></a><span class="lineno"> 114</span> op,</div>
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<div class="line"><a id="l00115" name="l00115"></a><span class="lineno"> 115</span> shape,</div>
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<div class="line"><a id="l00116" name="l00116"></a><span class="lineno"> 116</span> a_strides,</div>
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<div class="line"><a id="l00117" name="l00117"></a><span class="lineno"> 117</span> b_strides,</div>
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<div class="line"><a id="l00118" name="l00118"></a><span class="lineno"> 118</span> c_strides,</div>
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<div class="line"><a id="l00119" name="l00119"></a><span class="lineno"> 119</span> out_strides,</div>
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<div class="line"><a id="l00120" name="l00120"></a><span class="lineno"> 120</span> ndim - 2);</div>
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<div class="line"><a id="l00121" name="l00121"></a><span class="lineno"> 121</span> a_it.<a class="code hl_function" href="structmlx_1_1core_1_1_contiguous_iterator.html#aad921dd422adb0a0f555e19a2f42239c">step</a>();</div>
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<div class="line"><a id="l00122" name="l00122"></a><span class="lineno"> 122</span> b_it.<a class="code hl_function" href="structmlx_1_1core_1_1_contiguous_iterator.html#aad921dd422adb0a0f555e19a2f42239c">step</a>();</div>
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<div class="line"><a id="l00123" name="l00123"></a><span class="lineno"> 123</span> c_it.<a class="code hl_function" href="structmlx_1_1core_1_1_contiguous_iterator.html#aad921dd422adb0a0f555e19a2f42239c">step</a>();</div>
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<div class="line"><a id="l00124" name="l00124"></a><span class="lineno"> 124</span> }</div>
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<div class="line"><a id="l00125" name="l00125"></a><span class="lineno"> 125</span>}</div>
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</div>
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<div class="line"><a id="l00126" name="l00126"></a><span class="lineno"> 126</span> </div>
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<div class="line"><a id="l00127" name="l00127"></a><span class="lineno"> 127</span><span class="keyword">template</span> <<span class="keyword">typename</span> T1, <span class="keyword">typename</span> T2, <span class="keyword">typename</span> T3, <span class="keyword">typename</span> U, <span class="keyword">typename</span> Op></div>
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<div class="foldopen" id="foldopen00128" data-start="{" data-end="}">
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<div class="line"><a id="l00128" name="l00128"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#a9dcc3018702ee31c21c8652bdc2182b1"> 128</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9dcc3018702ee31c21c8652bdc2182b1">ternary_op</a>(</div>
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<div class="line"><a id="l00129" name="l00129"></a><span class="lineno"> 129</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& a,</div>
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<div class="line"><a id="l00130" name="l00130"></a><span class="lineno"> 130</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& b,</div>
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<div class="line"><a id="l00131" name="l00131"></a><span class="lineno"> 131</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& c,</div>
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<div class="line"><a id="l00132" name="l00132"></a><span class="lineno"> 132</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& out,</div>
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<div class="line"><a id="l00133" name="l00133"></a><span class="lineno"> 133</span> Op op) {</div>
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<div class="line"><a id="l00134" name="l00134"></a><span class="lineno"> 134</span> <a class="code hl_enumeration" href="namespacemlx_1_1core.html#ac2b8997537c7f25dd2b244d4c0a865a1">TernaryOpType</a> topt = <a class="code hl_function" href="namespacemlx_1_1core.html#a548b6f4a39e639c18896e50b1702c830">get_ternary_op_type</a>(a, b, c);</div>
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<div class="line"><a id="l00135" name="l00135"></a><span class="lineno"> 135</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a6f4528d0d338ea5e1f19d345875c26a2">set_ternary_op_output_data</a>(a, b, c, out, topt);</div>
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<div class="line"><a id="l00136" name="l00136"></a><span class="lineno"> 136</span> </div>
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<div class="line"><a id="l00137" name="l00137"></a><span class="lineno"> 137</span> <span class="comment">// The full computation is scalar-scalar-scalar so we call the base op once.</span></div>
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<div class="line"><a id="l00138" name="l00138"></a><span class="lineno"> 138</span> <span class="keywordflow">if</span> (topt == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#ac2b8997537c7f25dd2b244d4c0a865a1a09c2e68746fa22c9903625cea17464db">TernaryOpType::ScalarScalarScalar</a>) {</div>
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<div class="line"><a id="l00139" name="l00139"></a><span class="lineno"> 139</span> *(out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><U>()) = op(*a.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T1>(), *b.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T2>(), *c.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T3>());</div>
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<div class="line"><a id="l00140" name="l00140"></a><span class="lineno"> 140</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (topt == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#ac2b8997537c7f25dd2b244d4c0a865a1acbcaeeb0e232871afe48bcf063a14b42">TernaryOpType::VectorVectorVector</a>) {</div>
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<div class="line"><a id="l00141" name="l00141"></a><span class="lineno"> 141</span> <span class="keyword">const</span> T1* a_ptr = a.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T1>();</div>
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<div class="line"><a id="l00142" name="l00142"></a><span class="lineno"> 142</span> <span class="keyword">const</span> T2* b_ptr = b.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T2>();</div>
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<div class="line"><a id="l00143" name="l00143"></a><span class="lineno"> 143</span> <span class="keyword">const</span> T3* c_ptr = c.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T3>();</div>
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<div class="line"><a id="l00144" name="l00144"></a><span class="lineno"> 144</span> U* out_ptr = out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><U>();</div>
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<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"> 145</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a598f87161926d9e0b516860f0ea2c8f6">size</a>(); ++i) {</div>
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<div class="line"><a id="l00146" name="l00146"></a><span class="lineno"> 146</span> *out_ptr = op(*a_ptr, *b_ptr, *c_ptr);</div>
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<div class="line"><a id="l00147" name="l00147"></a><span class="lineno"> 147</span> a_ptr++;</div>
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<div class="line"><a id="l00148" name="l00148"></a><span class="lineno"> 148</span> b_ptr++;</div>
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<div class="line"><a id="l00149" name="l00149"></a><span class="lineno"> 149</span> c_ptr++;</div>
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<div class="line"><a id="l00150" name="l00150"></a><span class="lineno"> 150</span> out_ptr++;</div>
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<div class="line"><a id="l00151" name="l00151"></a><span class="lineno"> 151</span> }</div>
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<div class="line"><a id="l00152" name="l00152"></a><span class="lineno"> 152</span> } <span class="keywordflow">else</span> {</div>
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<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"> 153</span> <a class="code hl_function" href="namespacemlx_1_1core.html#ac1c085e305954247d042f5d8803cd85b">ternary_op_dispatch_dims<T1, T2, T3, U></a>(a, b, c, out, op);</div>
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<div class="line"><a id="l00154" name="l00154"></a><span class="lineno"> 154</span> }</div>
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<div class="line"><a id="l00155" name="l00155"></a><span class="lineno"> 155</span>}</div>
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</div>
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<div class="line"><a id="l00156" name="l00156"></a><span class="lineno"> 156</span> </div>
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<div class="line"><a id="l00157" name="l00157"></a><span class="lineno"> 157</span>} <span class="comment">// namespace mlx::core</span></div>
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<div class="ttc" id="aallocator_8h_html"><div class="ttname"><a href="allocator_8h.html">allocator.h</a></div></div>
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<div class="ttc" id="aarray_8h_html"><div class="ttname"><a href="array_8h.html">array.h</a></div></div>
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<div class="ttc" id="abackend_2common_2utils_8h_html"><div class="ttname"><a href="backend_2common_2utils_8h.html">utils.h</a></div></div>
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<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>
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<div class="ttc" id="aclassmlx_1_1core_1_1array_html_a1d06c76b0f3010a5c329d0e9e29e0597"><div class="ttname"><a href="classmlx_1_1core_1_1array.html#a1d06c76b0f3010a5c329d0e9e29e0597">mlx::core::array::shape</a></div><div class="ttdeci">const Shape & shape() const</div><div class="ttdoc">The shape of the array as a vector of integers.</div><div class="ttdef"><b>Definition</b> array.h:103</div></div>
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<div class="ttc" id="aclassmlx_1_1core_1_1array_html_a598f87161926d9e0b516860f0ea2c8f6"><div class="ttname"><a href="classmlx_1_1core_1_1array.html#a598f87161926d9e0b516860f0ea2c8f6">mlx::core::array::size</a></div><div class="ttdeci">size_t size() const</div><div class="ttdoc">The number of elements in the array.</div><div class="ttdef"><b>Definition</b> array.h:88</div></div>
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<div class="ttc" id="aclassmlx_1_1core_1_1array_html_a72e3ce6c03fefe272cadf214bd127b95"><div class="ttname"><a href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">mlx::core::array::data</a></div><div class="ttdeci">T * data()</div><div class="ttdef"><b>Definition</b> array.h:342</div></div>
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<div class="ttc" id="acommon_2ternary_8h_html"><div class="ttname"><a href="common_2ternary_8h.html">ternary.h</a></div></div>
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<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>
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<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< Shape, std::vector< Strides > > collapse_contiguous_dims(const Shape &shape, const std::vector< Strides > &strides, int64_t size_cap=std::numeric_limits< int32_t >::max())</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a548b6f4a39e639c18896e50b1702c830"><div class="ttname"><a href="namespacemlx_1_1core.html#a548b6f4a39e639c18896e50b1702c830">mlx::core::get_ternary_op_type</a></div><div class="ttdeci">TernaryOpType get_ternary_op_type(const array &a, const array &b, const array &c)</div><div class="ttdef"><b>Definition</b> ternary.h:18</div></div>
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<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< ShapeElem > Shape</div><div class="ttdef"><b>Definition</b> array.h:21</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a6f4528d0d338ea5e1f19d345875c26a2"><div class="ttname"><a href="namespacemlx_1_1core.html#a6f4528d0d338ea5e1f19d345875c26a2">mlx::core::set_ternary_op_output_data</a></div><div class="ttdeci">void set_ternary_op_output_data(const array &a, const array &b, const array &c, array &out, TernaryOpType topt, bool donate_with_move=false)</div><div class="ttdef"><b>Definition</b> ternary.h:34</div></div>
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<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< int64_t > Strides</div><div class="ttdef"><b>Definition</b> array.h:22</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a8096c7a688ac3f09cca69a3a85f7f157"><div class="ttname"><a href="namespacemlx_1_1core.html#a8096c7a688ac3f09cca69a3a85f7f157">mlx::core::ternary_op_dims</a></div><div class="ttdeci">void ternary_op_dims(const T1 *a, const T2 *b, const T3 *c, U *out, Op op, const Shape &shape, const Strides &a_strides, const Strides &b_strides, const Strides &c_strides, const Strides &out_strides, int axis)</div><div class="ttdef"><b>Definition</b> ternary.h:12</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a9dcc3018702ee31c21c8652bdc2182b1"><div class="ttname"><a href="namespacemlx_1_1core.html#a9dcc3018702ee31c21c8652bdc2182b1">mlx::core::ternary_op</a></div><div class="ttdeci">void ternary_op(const array &a, const array &b, const array &c, array &out, Op op)</div><div class="ttdef"><b>Definition</b> ternary.h:128</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_ac1c085e305954247d042f5d8803cd85b"><div class="ttname"><a href="namespacemlx_1_1core.html#ac1c085e305954247d042f5d8803cd85b">mlx::core::ternary_op_dispatch_dims</a></div><div class="ttdeci">void ternary_op_dispatch_dims(const array &a, const array &b, const array &c, array &out, Op op)</div><div class="ttdef"><b>Definition</b> ternary.h:55</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_ac2b8997537c7f25dd2b244d4c0a865a1"><div class="ttname"><a href="namespacemlx_1_1core.html#ac2b8997537c7f25dd2b244d4c0a865a1">mlx::core::TernaryOpType</a></div><div class="ttdeci">TernaryOpType</div><div class="ttdef"><b>Definition</b> ternary.h:11</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_ac2b8997537c7f25dd2b244d4c0a865a1a09c2e68746fa22c9903625cea17464db"><div class="ttname"><a href="namespacemlx_1_1core.html#ac2b8997537c7f25dd2b244d4c0a865a1a09c2e68746fa22c9903625cea17464db">mlx::core::TernaryOpType::ScalarScalarScalar</a></div><div class="ttdeci">@ ScalarScalarScalar</div><div class="ttdef"><b>Definition</b> ternary.h:12</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_ac2b8997537c7f25dd2b244d4c0a865a1acbcaeeb0e232871afe48bcf063a14b42"><div class="ttname"><a href="namespacemlx_1_1core.html#ac2b8997537c7f25dd2b244d4c0a865a1acbcaeeb0e232871afe48bcf063a14b42">mlx::core::TernaryOpType::VectorVectorVector</a></div><div class="ttdeci">@ VectorVectorVector</div><div class="ttdef"><b>Definition</b> ternary.h:13</div></div>
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<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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<div class="ttc" id="astructmlx_1_1core_1_1_contiguous_iterator_html_a5ea4f0e40900e8c7e0830e1fb561af1a"><div class="ttname"><a href="structmlx_1_1core_1_1_contiguous_iterator.html#a5ea4f0e40900e8c7e0830e1fb561af1a">mlx::core::ContiguousIterator::loc</a></div><div class="ttdeci">int64_t loc</div><div class="ttdef"><b>Definition</b> utils.h:126</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_contiguous_iterator_html_aad921dd422adb0a0f555e19a2f42239c"><div class="ttname"><a href="structmlx_1_1core_1_1_contiguous_iterator.html#aad921dd422adb0a0f555e19a2f42239c">mlx::core::ContiguousIterator::step</a></div><div class="ttdeci">void step()</div><div class="ttdef"><b>Definition</b> utils.h:74</div></div>
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