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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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<div class="headertitle"><div class="title">ternary.h</div></div>
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<a href="common_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="backend_2common_2ops_8h.html">mlx/backend/common/ops.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><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="l00009" name="l00009"></a><span class="lineno"> 9</span> </div>
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<div class="line"><a id="l00010" name="l00010"></a><span class="lineno"> 10</span><span class="keyword">namespace </span>{</div>
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<div class="line"><a id="l00011" name="l00011"></a><span class="lineno"> 11</span> </div>
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<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"> 12</span><span class="comment">// TODO: Add support for more combinations of input types.</span></div>
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<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"> 13</span><span class="keyword">enum class</span> TernaryOpType {</div>
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<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"> 14</span> ScalarScalarScalar,</div>
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<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"> 15</span> VectorVectorVector,</div>
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<div class="line"><a id="l00016" name="l00016"></a><span class="lineno"> 16</span> <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#abd84ff6c5245e4e170b2ef5247594337a0db377921f4ce762c62526131097968f">General</a>,</div>
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<div class="line"><a id="l00017" name="l00017"></a><span class="lineno"> 17</span>};</div>
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<div class="line"><a id="l00018" name="l00018"></a><span class="lineno"> 18</span> </div>
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<div class="line"><a id="l00019" name="l00019"></a><span class="lineno"> 19</span>TernaryOpType</div>
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<div class="line"><a id="l00020" name="l00020"></a><span class="lineno"> 20</span>get_ternary_op_type(<span class="keyword">const</span> array& a, <span class="keyword">const</span> array& b, <span class="keyword">const</span> array& c) {</div>
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<div class="line"><a id="l00021" name="l00021"></a><span class="lineno"> 21</span> TernaryOpType topt;</div>
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<div class="line"><a id="l00022" name="l00022"></a><span class="lineno"> 22</span> <span class="keywordflow">if</span> (a.data_size() == 1 && b.data_size() == 1 && c.data_size() == 1) {</div>
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<div class="line"><a id="l00023" name="l00023"></a><span class="lineno"> 23</span> topt = TernaryOpType::ScalarScalarScalar;</div>
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<div class="line"><a id="l00024" name="l00024"></a><span class="lineno"> 24</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (</div>
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<div class="line"><a id="l00025" name="l00025"></a><span class="lineno"> 25</span> (a.flags().row_contiguous && b.flags().row_contiguous &&</div>
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<div class="line"><a id="l00026" name="l00026"></a><span class="lineno"> 26</span> c.flags().row_contiguous) ||</div>
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<div class="line"><a id="l00027" name="l00027"></a><span class="lineno"> 27</span> (a.flags().col_contiguous && b.flags().col_contiguous &&</div>
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<div class="line"><a id="l00028" name="l00028"></a><span class="lineno"> 28</span> c.flags().col_contiguous)) {</div>
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<div class="line"><a id="l00029" name="l00029"></a><span class="lineno"> 29</span> topt = TernaryOpType::VectorVectorVector;</div>
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<div class="line"><a id="l00030" name="l00030"></a><span class="lineno"> 30</span> } <span class="keywordflow">else</span> {</div>
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<div class="line"><a id="l00031" name="l00031"></a><span class="lineno"> 31</span> topt = TernaryOpType::General;</div>
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<div class="line"><a id="l00032" name="l00032"></a><span class="lineno"> 32</span> }</div>
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<div class="line"><a id="l00033" name="l00033"></a><span class="lineno"> 33</span> <span class="keywordflow">return</span> topt;</div>
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<div class="line"><a id="l00034" name="l00034"></a><span class="lineno"> 34</span>}</div>
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<div class="line"><a id="l00035" name="l00035"></a><span class="lineno"> 35</span> </div>
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<div class="line"><a id="l00036" name="l00036"></a><span class="lineno"> 36</span><span class="keywordtype">void</span> set_ternary_op_output_data(</div>
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<div class="line"><a id="l00037" name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">const</span> array& a,</div>
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<div class="line"><a id="l00038" name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">const</span> array& b,</div>
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<div class="line"><a id="l00039" name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">const</span> array& c,</div>
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<div class="line"><a id="l00040" name="l00040"></a><span class="lineno"> 40</span> array& out,</div>
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<div class="line"><a id="l00041" name="l00041"></a><span class="lineno"> 41</span> TernaryOpType topt,</div>
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<div class="line"><a id="l00042" name="l00042"></a><span class="lineno"> 42</span> <span class="keywordtype">bool</span> donate_with_move = <span class="keyword">false</span>) {</div>
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<div class="line"><a id="l00043" name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">auto</span> maybe_donate = [&out, donate_with_move](<span class="keyword">const</span> array& x) {</div>
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<div class="line"><a id="l00044" name="l00044"></a><span class="lineno"> 44</span> <span class="keywordflow">if</span> (<a class="code hl_function" href="namespacemlx_1_1core.html#af650e831ce21759da1ac103037d08d84">is_donatable</a>(x, out)) {</div>
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<div class="line"><a id="l00045" name="l00045"></a><span class="lineno"> 45</span> <span class="keywordflow">if</span> (donate_with_move) {</div>
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<div class="line"><a id="l00046" name="l00046"></a><span class="lineno"> 46</span> out.move_shared_buffer(x);</div>
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<div class="line"><a id="l00047" name="l00047"></a><span class="lineno"> 47</span> } <span class="keywordflow">else</span> {</div>
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<div class="line"><a id="l00048" name="l00048"></a><span class="lineno"> 48</span> out.copy_shared_buffer(x);</div>
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<div class="line"><a id="l00049" name="l00049"></a><span class="lineno"> 49</span> }</div>
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<div class="line"><a id="l00050" name="l00050"></a><span class="lineno"> 50</span> <span class="keywordflow">return</span> <span class="keyword">true</span>;</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> <span class="keywordflow">return</span> <span class="keyword">false</span>;</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> </div>
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<div class="line"><a id="l00055" name="l00055"></a><span class="lineno"> 55</span> <span class="keywordflow">switch</span> (topt) {</div>
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<div class="line"><a id="l00056" name="l00056"></a><span class="lineno"> 56</span> <span class="keywordflow">case</span> TernaryOpType::ScalarScalarScalar:</div>
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<div class="line"><a id="l00057" name="l00057"></a><span class="lineno"> 57</span> out.set_data(</div>
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<div class="line"><a id="l00058" name="l00058"></a><span class="lineno"> 58</span> <a class="code hl_function" href="namespacemlx_1_1core_1_1allocator.html#a86ac0a11ff78f21e717f641716c34abc">allocator::malloc_or_wait</a>(out.itemsize()), 1, b.strides(), b.flags());</div>
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<div class="line"><a id="l00059" name="l00059"></a><span class="lineno"> 59</span> <span class="keywordflow">break</span>;</div>
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<div class="line"><a id="l00060" name="l00060"></a><span class="lineno"> 60</span> <span class="keywordflow">case</span> TernaryOpType::VectorVectorVector:</div>
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<div class="line"><a id="l00061" name="l00061"></a><span class="lineno"> 61</span> <span class="keywordflow">if</span> (!(maybe_donate(a) || maybe_donate(b) || maybe_donate(c))) {</div>
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<div class="line"><a id="l00062" name="l00062"></a><span class="lineno"> 62</span> out.set_data(</div>
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<div class="line"><a id="l00063" name="l00063"></a><span class="lineno"> 63</span> <a class="code hl_function" href="namespacemlx_1_1core_1_1allocator.html#a86ac0a11ff78f21e717f641716c34abc">allocator::malloc_or_wait</a>(out.itemsize() * b.data_size()),</div>
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<div class="line"><a id="l00064" name="l00064"></a><span class="lineno"> 64</span> b.data_size(),</div>
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<div class="line"><a id="l00065" name="l00065"></a><span class="lineno"> 65</span> b.strides(),</div>
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<div class="line"><a id="l00066" name="l00066"></a><span class="lineno"> 66</span> b.flags());</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="keywordflow">break</span>;</div>
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<div class="line"><a id="l00069" name="l00069"></a><span class="lineno"> 69</span> <span class="keywordflow">case</span> TernaryOpType::General:</div>
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<div class="line"><a id="l00070" name="l00070"></a><span class="lineno"> 70</span> out.set_data(<a class="code hl_function" href="namespacemlx_1_1core_1_1allocator.html#a86ac0a11ff78f21e717f641716c34abc">allocator::malloc_or_wait</a>(out.nbytes()));</div>
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<div class="line"><a id="l00071" name="l00071"></a><span class="lineno"> 71</span> <span class="keywordflow">break</span>;</div>
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<div class="line"><a id="l00072" name="l00072"></a><span class="lineno"> 72</span> }</div>
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<div class="line"><a id="l00073" name="l00073"></a><span class="lineno"> 73</span>}</div>
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<div class="line"><a id="l00074" name="l00074"></a><span class="lineno"> 74</span> </div>
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<div class="line"><a id="l00075" name="l00075"></a><span class="lineno"> 75</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="line"><a id="l00076" name="l00076"></a><span class="lineno"> 76</span><span class="keywordtype">void</span> ternary_op_dims1(</div>
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<div class="line"><a id="l00077" name="l00077"></a><span class="lineno"> 77</span> <span class="keyword">const</span> array& a,</div>
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<div class="line"><a id="l00078" name="l00078"></a><span class="lineno"> 78</span> <span class="keyword">const</span> array& b,</div>
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<div class="line"><a id="l00079" name="l00079"></a><span class="lineno"> 79</span> <span class="keyword">const</span> array& c,</div>
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<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"> 80</span> array& out,</div>
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<div class="line"><a id="l00081" name="l00081"></a><span class="lineno"> 81</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>) {</div>
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<div class="line"><a id="l00082" name="l00082"></a><span class="lineno"> 82</span> <span class="keyword">const</span> T1* a_ptr = a.data<T1>();</div>
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<div class="line"><a id="l00083" name="l00083"></a><span class="lineno"> 83</span> <span class="keyword">const</span> T2* b_ptr = b.data<T2>();</div>
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<div class="line"><a id="l00084" name="l00084"></a><span class="lineno"> 84</span> <span class="keyword">const</span> T3* c_ptr = c.data<T3>();</div>
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<div class="line"><a id="l00085" name="l00085"></a><span class="lineno"> 85</span> </div>
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<div class="line"><a id="l00086" name="l00086"></a><span class="lineno"> 86</span> U* dst = out.data<U>();</div>
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<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"> 87</span> <span class="keywordtype">size_t</span> a_idx = 0;</div>
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<div class="line"><a id="l00088" name="l00088"></a><span class="lineno"> 88</span> <span class="keywordtype">size_t</span> b_idx = 0;</div>
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<div class="line"><a id="l00089" name="l00089"></a><span class="lineno"> 89</span> <span class="keywordtype">size_t</span> c_idx = 0;</div>
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<div class="line"><a id="l00090" name="l00090"></a><span class="lineno"> 90</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < out.size(); ++i) {</div>
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<div class="line"><a id="l00091" name="l00091"></a><span class="lineno"> 91</span> dst[i] = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(a_ptr[a_idx], b_ptr[b_idx], c_ptr[c_idx]);</div>
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<div class="line"><a id="l00092" name="l00092"></a><span class="lineno"> 92</span> a_idx += a.strides()[0];</div>
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<div class="line"><a id="l00093" name="l00093"></a><span class="lineno"> 93</span> b_idx += b.strides()[0];</div>
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<div class="line"><a id="l00094" name="l00094"></a><span class="lineno"> 94</span> c_idx += c.strides()[0];</div>
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<div class="line"><a id="l00095" name="l00095"></a><span class="lineno"> 95</span> }</div>
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<div class="line"><a id="l00096" name="l00096"></a><span class="lineno"> 96</span>}</div>
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<div class="line"><a id="l00097" name="l00097"></a><span class="lineno"> 97</span> </div>
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<div class="line"><a id="l00098" name="l00098"></a><span class="lineno"> 98</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="line"><a id="l00099" name="l00099"></a><span class="lineno"> 99</span><span class="keywordtype">void</span> ternary_op_dims2(</div>
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<div class="line"><a id="l00100" name="l00100"></a><span class="lineno"> 100</span> <span class="keyword">const</span> array& a,</div>
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<div class="line"><a id="l00101" name="l00101"></a><span class="lineno"> 101</span> <span class="keyword">const</span> array& b,</div>
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<div class="line"><a id="l00102" name="l00102"></a><span class="lineno"> 102</span> <span class="keyword">const</span> array& c,</div>
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<div class="line"><a id="l00103" name="l00103"></a><span class="lineno"> 103</span> array& out,</div>
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<div class="line"><a id="l00104" name="l00104"></a><span class="lineno"> 104</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>) {</div>
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<div class="line"><a id="l00105" name="l00105"></a><span class="lineno"> 105</span> <span class="keyword">const</span> T1* a_ptr = a.data<T1>();</div>
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<div class="line"><a id="l00106" name="l00106"></a><span class="lineno"> 106</span> <span class="keyword">const</span> T2* b_ptr = b.data<T2>();</div>
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<div class="line"><a id="l00107" name="l00107"></a><span class="lineno"> 107</span> <span class="keyword">const</span> T3* c_ptr = c.data<T3>();</div>
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<div class="line"><a id="l00108" name="l00108"></a><span class="lineno"> 108</span> </div>
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<div class="line"><a id="l00109" name="l00109"></a><span class="lineno"> 109</span> U* dst = out.data<U>();</div>
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<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"> 110</span> <span class="keywordtype">size_t</span> a_idx = 0;</div>
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<div class="line"><a id="l00111" name="l00111"></a><span class="lineno"> 111</span> <span class="keywordtype">size_t</span> b_idx = 0;</div>
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<div class="line"><a id="l00112" name="l00112"></a><span class="lineno"> 112</span> <span class="keywordtype">size_t</span> c_idx = 0;</div>
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<div class="line"><a id="l00113" name="l00113"></a><span class="lineno"> 113</span> <span class="keywordtype">size_t</span> out_idx = 0;</div>
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<div class="line"><a id="l00114" name="l00114"></a><span class="lineno"> 114</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < a.shape()[0]; ++i) {</div>
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<div class="line"><a id="l00115" name="l00115"></a><span class="lineno"> 115</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j < a.shape()[1]; ++j) {</div>
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<div class="line"><a id="l00116" name="l00116"></a><span class="lineno"> 116</span> dst[out_idx++] = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(a_ptr[a_idx], b_ptr[b_idx], c_ptr[c_idx]);</div>
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<div class="line"><a id="l00117" name="l00117"></a><span class="lineno"> 117</span> a_idx += a.strides()[1];</div>
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<div class="line"><a id="l00118" name="l00118"></a><span class="lineno"> 118</span> b_idx += b.strides()[1];</div>
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<div class="line"><a id="l00119" name="l00119"></a><span class="lineno"> 119</span> c_idx += c.strides()[1];</div>
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<div class="line"><a id="l00120" name="l00120"></a><span class="lineno"> 120</span> }</div>
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<div class="line"><a id="l00121" name="l00121"></a><span class="lineno"> 121</span> a_idx += a.strides()[0] - a.strides()[1] * a.shape()[1];</div>
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<div class="line"><a id="l00122" name="l00122"></a><span class="lineno"> 122</span> b_idx += b.strides()[0] - b.strides()[1] * b.shape()[1];</div>
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<div class="line"><a id="l00123" name="l00123"></a><span class="lineno"> 123</span> c_idx += c.strides()[0] - c.strides()[1] * c.shape()[1];</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 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="line"><a id="l00128" name="l00128"></a><span class="lineno"> 128</span><span class="keywordtype">void</span> ternary_op_dims3(</div>
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<div class="line"><a id="l00129" name="l00129"></a><span class="lineno"> 129</span> <span class="keyword">const</span> array& 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> array& 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> array& c,</div>
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<div class="line"><a id="l00132" name="l00132"></a><span class="lineno"> 132</span> array& out,</div>
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<div class="line"><a id="l00133" name="l00133"></a><span class="lineno"> 133</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>) {</div>
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<div class="line"><a id="l00134" name="l00134"></a><span class="lineno"> 134</span> <span class="keyword">const</span> T1* a_ptr = a.data<T1>();</div>
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<div class="line"><a id="l00135" name="l00135"></a><span class="lineno"> 135</span> <span class="keyword">const</span> T2* b_ptr = b.data<T2>();</div>
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<div class="line"><a id="l00136" name="l00136"></a><span class="lineno"> 136</span> <span class="keyword">const</span> T3* c_ptr = c.data<T3>();</div>
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<div class="line"><a id="l00137" name="l00137"></a><span class="lineno"> 137</span> U* dst = out.data<U>();</div>
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<div class="line"><a id="l00138" name="l00138"></a><span class="lineno"> 138</span> <span class="keywordtype">size_t</span> a_idx = 0;</div>
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<div class="line"><a id="l00139" name="l00139"></a><span class="lineno"> 139</span> <span class="keywordtype">size_t</span> b_idx = 0;</div>
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<div class="line"><a id="l00140" name="l00140"></a><span class="lineno"> 140</span> <span class="keywordtype">size_t</span> c_idx = 0;</div>
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<div class="line"><a id="l00141" name="l00141"></a><span class="lineno"> 141</span> <span class="keywordtype">size_t</span> out_idx = 0;</div>
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<div class="line"><a id="l00142" name="l00142"></a><span class="lineno"> 142</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < a.shape()[0]; ++i) {</div>
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<div class="line"><a id="l00143" name="l00143"></a><span class="lineno"> 143</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j < a.shape()[1]; ++j) {</div>
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<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> k = 0; k < a.shape()[2]; ++k) {</div>
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<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"> 145</span> dst[out_idx++] = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(a_ptr[a_idx], b_ptr[b_idx], c_ptr[c_idx]);</div>
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<div class="line"><a id="l00146" name="l00146"></a><span class="lineno"> 146</span> a_idx += a.strides()[2];</div>
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<div class="line"><a id="l00147" name="l00147"></a><span class="lineno"> 147</span> b_idx += b.strides()[2];</div>
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<div class="line"><a id="l00148" name="l00148"></a><span class="lineno"> 148</span> c_idx += c.strides()[2];</div>
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<div class="line"><a id="l00149" name="l00149"></a><span class="lineno"> 149</span> }</div>
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<div class="line"><a id="l00150" name="l00150"></a><span class="lineno"> 150</span> a_idx += a.strides()[1] - a.strides()[2] * a.shape()[2];</div>
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<div class="line"><a id="l00151" name="l00151"></a><span class="lineno"> 151</span> b_idx += b.strides()[1] - b.strides()[2] * b.shape()[2];</div>
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<div class="line"><a id="l00152" name="l00152"></a><span class="lineno"> 152</span> c_idx += c.strides()[1] - c.strides()[2] * c.shape()[2];</div>
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<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"> 153</span> }</div>
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<div class="line"><a id="l00154" name="l00154"></a><span class="lineno"> 154</span> a_idx += a.strides()[0] - a.strides()[1] * a.shape()[1];</div>
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<div class="line"><a id="l00155" name="l00155"></a><span class="lineno"> 155</span> b_idx += b.strides()[0] - b.strides()[1] * b.shape()[1];</div>
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<div class="line"><a id="l00156" name="l00156"></a><span class="lineno"> 156</span> c_idx += c.strides()[0] - c.strides()[1] * c.shape()[1];</div>
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<div class="line"><a id="l00157" name="l00157"></a><span class="lineno"> 157</span> }</div>
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<div class="line"><a id="l00158" name="l00158"></a><span class="lineno"> 158</span>}</div>
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<div class="line"><a id="l00159" name="l00159"></a><span class="lineno"> 159</span> </div>
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<div class="line"><a id="l00160" name="l00160"></a><span class="lineno"> 160</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="line"><a id="l00161" name="l00161"></a><span class="lineno"> 161</span><span class="keywordtype">void</span> ternary_op_dims4(</div>
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<div class="line"><a id="l00162" name="l00162"></a><span class="lineno"> 162</span> <span class="keyword">const</span> array& a,</div>
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<div class="line"><a id="l00163" name="l00163"></a><span class="lineno"> 163</span> <span class="keyword">const</span> array& b,</div>
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<div class="line"><a id="l00164" name="l00164"></a><span class="lineno"> 164</span> <span class="keyword">const</span> array& c,</div>
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<div class="line"><a id="l00165" name="l00165"></a><span class="lineno"> 165</span> array& out,</div>
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<div class="line"><a id="l00166" name="l00166"></a><span class="lineno"> 166</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>) {</div>
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<div class="line"><a id="l00167" name="l00167"></a><span class="lineno"> 167</span> <span class="keyword">const</span> T1* a_ptr = a.data<T1>();</div>
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<div class="line"><a id="l00168" name="l00168"></a><span class="lineno"> 168</span> <span class="keyword">const</span> T2* b_ptr = b.data<T2>();</div>
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<div class="line"><a id="l00169" name="l00169"></a><span class="lineno"> 169</span> <span class="keyword">const</span> T3* c_ptr = c.data<T3>();</div>
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<div class="line"><a id="l00170" name="l00170"></a><span class="lineno"> 170</span> </div>
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<div class="line"><a id="l00171" name="l00171"></a><span class="lineno"> 171</span> U* dst = out.data<U>();</div>
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<div class="line"><a id="l00172" name="l00172"></a><span class="lineno"> 172</span> <span class="keywordtype">size_t</span> a_idx = 0;</div>
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<div class="line"><a id="l00173" name="l00173"></a><span class="lineno"> 173</span> <span class="keywordtype">size_t</span> b_idx = 0;</div>
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<div class="line"><a id="l00174" name="l00174"></a><span class="lineno"> 174</span> <span class="keywordtype">size_t</span> c_idx = 0;</div>
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<div class="line"><a id="l00175" name="l00175"></a><span class="lineno"> 175</span> <span class="keywordtype">size_t</span> out_idx = 0;</div>
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<div class="line"><a id="l00176" name="l00176"></a><span class="lineno"> 176</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < a.shape()[0]; ++i) {</div>
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<div class="line"><a id="l00177" name="l00177"></a><span class="lineno"> 177</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j < a.shape()[1]; ++j) {</div>
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<div class="line"><a id="l00178" name="l00178"></a><span class="lineno"> 178</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> k = 0; k < a.shape()[2]; ++k) {</div>
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<div class="line"><a id="l00179" name="l00179"></a><span class="lineno"> 179</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> ii = 0; ii < a.shape()[3]; ++ii) {</div>
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<div class="line"><a id="l00180" name="l00180"></a><span class="lineno"> 180</span> dst[out_idx++] = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(a_ptr[a_idx], b_ptr[b_idx], c_ptr[c_idx]);</div>
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<div class="line"><a id="l00181" name="l00181"></a><span class="lineno"> 181</span> a_idx += a.strides()[3];</div>
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<div class="line"><a id="l00182" name="l00182"></a><span class="lineno"> 182</span> b_idx += b.strides()[3];</div>
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<div class="line"><a id="l00183" name="l00183"></a><span class="lineno"> 183</span> c_idx += c.strides()[3];</div>
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<div class="line"><a id="l00184" name="l00184"></a><span class="lineno"> 184</span> }</div>
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<div class="line"><a id="l00185" name="l00185"></a><span class="lineno"> 185</span> a_idx += a.strides()[2] - a.strides()[3] * a.shape()[3];</div>
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<div class="line"><a id="l00186" name="l00186"></a><span class="lineno"> 186</span> b_idx += b.strides()[2] - b.strides()[3] * b.shape()[3];</div>
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<div class="line"><a id="l00187" name="l00187"></a><span class="lineno"> 187</span> c_idx += c.strides()[2] - c.strides()[3] * c.shape()[3];</div>
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<div class="line"><a id="l00188" name="l00188"></a><span class="lineno"> 188</span> }</div>
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<div class="line"><a id="l00189" name="l00189"></a><span class="lineno"> 189</span> a_idx += a.strides()[1] - a.strides()[2] * a.shape()[2];</div>
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<div class="line"><a id="l00190" name="l00190"></a><span class="lineno"> 190</span> b_idx += b.strides()[1] - b.strides()[2] * b.shape()[2];</div>
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<div class="line"><a id="l00191" name="l00191"></a><span class="lineno"> 191</span> c_idx += c.strides()[1] - c.strides()[2] * c.shape()[2];</div>
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<div class="line"><a id="l00192" name="l00192"></a><span class="lineno"> 192</span> }</div>
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<div class="line"><a id="l00193" name="l00193"></a><span class="lineno"> 193</span> a_idx += a.strides()[0] - a.strides()[1] * a.shape()[1];</div>
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<div class="line"><a id="l00194" name="l00194"></a><span class="lineno"> 194</span> b_idx += b.strides()[0] - b.strides()[1] * b.shape()[1];</div>
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<div class="line"><a id="l00195" name="l00195"></a><span class="lineno"> 195</span> c_idx += c.strides()[0] - c.strides()[1] * c.shape()[1];</div>
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<div class="line"><a id="l00196" name="l00196"></a><span class="lineno"> 196</span> }</div>
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<div class="line"><a id="l00197" name="l00197"></a><span class="lineno"> 197</span>}</div>
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<div class="line"><a id="l00198" name="l00198"></a><span class="lineno"> 198</span> </div>
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<div class="line"><a id="l00199" name="l00199"></a><span class="lineno"> 199</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="line"><a id="l00200" name="l00200"></a><span class="lineno"> 200</span><span class="keywordtype">void</span> ternary_op_dispatch_dims(</div>
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<div class="line"><a id="l00201" name="l00201"></a><span class="lineno"> 201</span> <span class="keyword">const</span> array& a,</div>
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<div class="line"><a id="l00202" name="l00202"></a><span class="lineno"> 202</span> <span class="keyword">const</span> array& b,</div>
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<div class="line"><a id="l00203" name="l00203"></a><span class="lineno"> 203</span> <span class="keyword">const</span> array& c,</div>
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<div class="line"><a id="l00204" name="l00204"></a><span class="lineno"> 204</span> array& out,</div>
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<div class="line"><a id="l00205" name="l00205"></a><span class="lineno"> 205</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>) {</div>
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<div class="line"><a id="l00206" name="l00206"></a><span class="lineno"> 206</span> <span class="keywordflow">switch</span> (out.ndim()) {</div>
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<div class="line"><a id="l00207" name="l00207"></a><span class="lineno"> 207</span> <span class="keywordflow">case</span> 1:</div>
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<div class="line"><a id="l00208" name="l00208"></a><span class="lineno"> 208</span> ternary_op_dims1<T1, T2, T3, U, Op>(a, b, c, out, <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
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<div class="line"><a id="l00209" name="l00209"></a><span class="lineno"> 209</span> <span class="keywordflow">return</span>;</div>
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<div class="line"><a id="l00210" name="l00210"></a><span class="lineno"> 210</span> <span class="keywordflow">case</span> 2:</div>
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<div class="line"><a id="l00211" name="l00211"></a><span class="lineno"> 211</span> ternary_op_dims2<T1, T2, T3, U, Op>(a, b, c, out, <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
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<div class="line"><a id="l00212" name="l00212"></a><span class="lineno"> 212</span> <span class="keywordflow">return</span>;</div>
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<div class="line"><a id="l00213" name="l00213"></a><span class="lineno"> 213</span> <span class="keywordflow">case</span> 3:</div>
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<div class="line"><a id="l00214" name="l00214"></a><span class="lineno"> 214</span> ternary_op_dims3<T1, T2, T3, U, Op>(a, b, c, out, <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
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<div class="line"><a id="l00215" name="l00215"></a><span class="lineno"> 215</span> <span class="keywordflow">return</span>;</div>
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<div class="line"><a id="l00216" name="l00216"></a><span class="lineno"> 216</span> <span class="keywordflow">case</span> 4:</div>
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<div class="line"><a id="l00217" name="l00217"></a><span class="lineno"> 217</span> ternary_op_dims4<T1, T2, T3, U, Op>(a, b, c, out, <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
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<div class="line"><a id="l00218" name="l00218"></a><span class="lineno"> 218</span> <span class="keywordflow">return</span>;</div>
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<div class="line"><a id="l00219" name="l00219"></a><span class="lineno"> 219</span> }</div>
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<div class="line"><a id="l00220" name="l00220"></a><span class="lineno"> 220</span> </div>
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<div class="line"><a id="l00221" name="l00221"></a><span class="lineno"> 221</span> <span class="keyword">const</span> T1* a_ptr = a.data<T1>();</div>
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<div class="line"><a id="l00222" name="l00222"></a><span class="lineno"> 222</span> <span class="keyword">const</span> T2* b_ptr = b.data<T2>();</div>
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<div class="line"><a id="l00223" name="l00223"></a><span class="lineno"> 223</span> <span class="keyword">const</span> T3* c_ptr = c.data<T3>();</div>
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<div class="line"><a id="l00224" name="l00224"></a><span class="lineno"> 224</span> U* dst = out.data<U>();</div>
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<div class="line"><a id="l00225" name="l00225"></a><span class="lineno"> 225</span> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < out.size(); i++) {</div>
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<div class="line"><a id="l00226" name="l00226"></a><span class="lineno"> 226</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>
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<div class="line"><a id="l00227" name="l00227"></a><span class="lineno"> 227</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>
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<div class="line"><a id="l00228" name="l00228"></a><span class="lineno"> 228</span> <span class="keywordtype">int</span> c_idx = <a class="code hl_function" href="namespacemlx_1_1core.html#a4950c3248e70280b406a4f1430a85880">elem_to_loc</a>(i, c.shape(), c.strides());</div>
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<div class="line"><a id="l00229" name="l00229"></a><span class="lineno"> 229</span> dst[i] = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(a_ptr[a_idx], b_ptr[b_idx], c_ptr[c_idx]);</div>
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<div class="line"><a id="l00230" name="l00230"></a><span class="lineno"> 230</span> }</div>
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<div class="line"><a id="l00231" name="l00231"></a><span class="lineno"> 231</span>}</div>
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<div class="line"><a id="l00232" name="l00232"></a><span class="lineno"> 232</span> </div>
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<div class="line"><a id="l00233" name="l00233"></a><span class="lineno"> 233</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="line"><a id="l00234" name="l00234"></a><span class="lineno"> 234</span><span class="keywordtype">void</span> ternary_op(</div>
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<div class="line"><a id="l00235" name="l00235"></a><span class="lineno"> 235</span> <span class="keyword">const</span> array& a,</div>
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<div class="line"><a id="l00236" name="l00236"></a><span class="lineno"> 236</span> <span class="keyword">const</span> array& b,</div>
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<div class="line"><a id="l00237" name="l00237"></a><span class="lineno"> 237</span> <span class="keyword">const</span> array& c,</div>
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<div class="line"><a id="l00238" name="l00238"></a><span class="lineno"> 238</span> array& out,</div>
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<div class="line"><a id="l00239" name="l00239"></a><span class="lineno"> 239</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>) {</div>
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<div class="line"><a id="l00240" name="l00240"></a><span class="lineno"> 240</span> TernaryOpType topt = get_ternary_op_type(a, b, c);</div>
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<div class="line"><a id="l00241" name="l00241"></a><span class="lineno"> 241</span> set_ternary_op_output_data(a, b, c, out, topt);</div>
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<div class="line"><a id="l00242" name="l00242"></a><span class="lineno"> 242</span> </div>
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<div class="line"><a id="l00243" name="l00243"></a><span class="lineno"> 243</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="l00244" name="l00244"></a><span class="lineno"> 244</span> <span class="keywordflow">if</span> (topt == TernaryOpType::ScalarScalarScalar) {</div>
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<div class="line"><a id="l00245" name="l00245"></a><span class="lineno"> 245</span> *(out.data<U>()) = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(*a.data<T1>(), *b.data<T2>(), *c.data<T3>());</div>
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<div class="line"><a id="l00246" name="l00246"></a><span class="lineno"> 246</span> <span class="keywordflow">return</span>;</div>
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<div class="line"><a id="l00247" name="l00247"></a><span class="lineno"> 247</span> }</div>
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<div class="line"><a id="l00248" name="l00248"></a><span class="lineno"> 248</span> </div>
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<div class="line"><a id="l00249" name="l00249"></a><span class="lineno"> 249</span> ternary_op_dispatch_dims<T1, T2, T3, U>(a, b, c, out, <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
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<div class="line"><a id="l00250" name="l00250"></a><span class="lineno"> 250</span>}</div>
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<div class="line"><a id="l00251" name="l00251"></a><span class="lineno"> 251</span> </div>
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<div class="line"><a id="l00252" name="l00252"></a><span class="lineno"> 252</span>} <span class="comment">// namespace</span></div>
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<div class="line"><a id="l00253" name="l00253"></a><span class="lineno"> 253</span> </div>
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<div class="line"><a id="l00254" name="l00254"></a><span class="lineno"> 254</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_2ops_8h_html"><div class="ttname"><a href="backend_2common_2ops_8h.html">ops.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="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>
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<div class="ttc" id="anamespacemlx_1_1core_1_1allocator_html_a86ac0a11ff78f21e717f641716c34abc"><div class="ttname"><a href="namespacemlx_1_1core_1_1allocator.html#a86ac0a11ff78f21e717f641716c34abc">mlx::core::allocator::malloc_or_wait</a></div><div class="ttdeci">Buffer malloc_or_wait(size_t size)</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_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< int > &shape, const std::vector< stride_t > &strides)</div><div class="ttdef"><b>Definition</b> utils.h:12</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_abd84ff6c5245e4e170b2ef5247594337a0db377921f4ce762c62526131097968f"><div class="ttname"><a href="namespacemlx_1_1core.html#abd84ff6c5245e4e170b2ef5247594337a0db377921f4ce762c62526131097968f">mlx::core::CopyType::General</a></div><div class="ttdeci">@ General</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_af650e831ce21759da1ac103037d08d84"><div class="ttname"><a href="namespacemlx_1_1core.html#af650e831ce21759da1ac103037d08d84">mlx::core::is_donatable</a></div><div class="ttdeci">bool is_donatable(const array &in, const array &out)</div><div class="ttdef"><b>Definition</b> utils.h:158</div></div>
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