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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">reduce.h</div></div>
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<a href="common_2reduce_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> </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="backend_2common_2utils_8h.html">mlx/backend/common/utils.h</a>"</span></div>
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<div class="line"><a id="l00006" name="l00006"></a><span class="lineno"> 6</span> </div>
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<div class="line"><a id="l00007" name="l00007"></a><span class="lineno"> 7</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="l00008" name="l00008"></a><span class="lineno"> 8</span> </div>
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<div class="foldopen" id="foldopen00009" data-start="{" data-end="};">
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<div class="line"><a id="l00009" name="l00009"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65"> 9</a></span><span class="keyword">enum</span> <a class="code hl_enumeration" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65">ReductionOpType</a> {</div>
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<div class="line"><a id="l00010" name="l00010"></a><span class="lineno"> 10</span> <span class="comment">// Self-explanatory. Read everything and produce 1 output.</span></div>
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<div class="line"><a id="l00011" name="l00011"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ae4e34c7154eb8dc47aa8503209730424"> 11</a></span> <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ae4e34c7154eb8dc47aa8503209730424">ContiguousAllReduce</a>,</div>
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<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"> 12</span> </div>
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<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"> 13</span> <span class="comment">// The input is contiguous and the last axis is reduced</span></div>
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<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"> 14</span> <span class="comment">// N1xR1xN2xR2x...xNnxRn</span></div>
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<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ad2547f25dffe8d8936dbec25601cfc84"> 15</a></span> <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ad2547f25dffe8d8936dbec25601cfc84">ContiguousReduce</a>,</div>
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<div class="line"><a id="l00016" name="l00016"></a><span class="lineno"> 16</span> </div>
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<div class="line"><a id="l00017" name="l00017"></a><span class="lineno"> 17</span> <span class="comment">// The input is contiguous and the last axis is not reduced</span></div>
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<div class="line"><a id="l00018" name="l00018"></a><span class="lineno"> 18</span> <span class="comment">// R1xN1xR2xN2x...xRnxNn</span></div>
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<div class="line"><a id="l00019" name="l00019"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ab48dac7508a2c790de1bdc33f29177ed"> 19</a></span> <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ab48dac7508a2c790de1bdc33f29177ed">ContiguousStridedReduce</a>,</div>
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<div class="line"><a id="l00020" name="l00020"></a><span class="lineno"> 20</span> </div>
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<div class="line"><a id="l00021" name="l00021"></a><span class="lineno"> 21</span> <span class="comment">// The input is not contiguous but the last axis is and it is reduced so we</span></div>
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<div class="line"><a id="l00022" name="l00022"></a><span class="lineno"> 22</span> <span class="comment">// need to figure out the offsets but we can call the contiguous reduce after</span></div>
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<div class="line"><a id="l00023" name="l00023"></a><span class="lineno"> 23</span> <span class="comment">// that.</span></div>
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<div class="line"><a id="l00024" name="l00024"></a><span class="lineno"> 24</span> <span class="comment">// N3xR1xN1xR4x...xRn</span></div>
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<div class="line"><a id="l00025" name="l00025"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65a540cf31fe6858115a02e789938297cdb"> 25</a></span> <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65a540cf31fe6858115a02e789938297cdb">GeneralContiguousReduce</a>,</div>
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<div class="line"><a id="l00026" name="l00026"></a><span class="lineno"> 26</span> </div>
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<div class="line"><a id="l00027" name="l00027"></a><span class="lineno"> 27</span> <span class="comment">// The input is not contiguous but the last reduction axis and the last axis</span></div>
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<div class="line"><a id="l00028" name="l00028"></a><span class="lineno"> 28</span> <span class="comment">// are so we need to figure out the offset but we can call the strided reduce</span></div>
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<div class="line"><a id="l00029" name="l00029"></a><span class="lineno"> 29</span> <span class="comment">// after that.</span></div>
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<div class="line"><a id="l00030" name="l00030"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ad999b1a8ae1d7436efb5ffdfafb1dd3d"> 30</a></span> <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ad999b1a8ae1d7436efb5ffdfafb1dd3d">GeneralStridedReduce</a>,</div>
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<div class="line"><a id="l00031" name="l00031"></a><span class="lineno"> 31</span> </div>
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<div class="line"><a id="l00032" name="l00032"></a><span class="lineno"> 32</span> <span class="comment">// The input is not contiguous after the reduction axis and it may contain</span></div>
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<div class="line"><a id="l00033" name="l00033"></a><span class="lineno"> 33</span> <span class="comment">// 0-stride axes or transpositions. We could copy the strides and produce a</span></div>
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<div class="line"><a id="l00034" name="l00034"></a><span class="lineno"> 34</span> <span class="comment">// transposed outcome or we can read the input out of order and write the</span></div>
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<div class="line"><a id="l00035" name="l00035"></a><span class="lineno"> 35</span> <span class="comment">// output in order.</span></div>
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<div class="line"><a id="l00036" name="l00036"></a><span class="lineno"> 36</span> <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65a3622f95ed0ec99657f9ad8ef39ec2184">GeneralReduce</a></div>
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<div class="line"><a id="l00037" name="l00037"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65a3622f95ed0ec99657f9ad8ef39ec2184"> 37</a></span>};</div>
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</div>
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<div class="line"><a id="l00038" name="l00038"></a><span class="lineno"> 38</span> </div>
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<div class="foldopen" id="foldopen00039" data-start="{" data-end="};">
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<div class="line"><a id="l00039" name="l00039"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_reduction_plan.html"> 39</a></span><span class="keyword">struct </span><a class="code hl_struct" href="structmlx_1_1core_1_1_reduction_plan.html">ReductionPlan</a> {</div>
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<div class="line"><a id="l00040" name="l00040"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_reduction_plan.html#a24e407f13d4d02156380ecc1a6748a76"> 40</a></span> <a class="code hl_enumeration" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65">ReductionOpType</a> <a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a24e407f13d4d02156380ecc1a6748a76">type</a>;</div>
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<div class="line"><a id="l00041" name="l00041"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae"> 41</a></span> std::vector<int> <a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>;</div>
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<div class="line"><a id="l00042" name="l00042"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_reduction_plan.html#a9bf7cae845ab633247c1811613ece8bd"> 42</a></span> std::vector<size_t> <a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a9bf7cae845ab633247c1811613ece8bd">strides</a>;</div>
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<div class="line"><a id="l00043" name="l00043"></a><span class="lineno"> 43</span> </div>
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<div class="foldopen" id="foldopen00044" data-start="{" data-end="}">
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<div class="line"><a id="l00044" name="l00044"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_reduction_plan.html#a3df6acc08ef92647aab19d68b0961610"> 44</a></span> <a class="code hl_function" href="structmlx_1_1core_1_1_reduction_plan.html#a3df6acc08ef92647aab19d68b0961610">ReductionPlan</a>(</div>
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<div class="line"><a id="l00045" name="l00045"></a><span class="lineno"> 45</span> <a class="code hl_enumeration" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65">ReductionOpType</a> type_,</div>
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<div class="line"><a id="l00046" name="l00046"></a><span class="lineno"> 46</span> std::vector<int> shape_,</div>
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<div class="line"><a id="l00047" name="l00047"></a><span class="lineno"> 47</span> std::vector<size_t> strides_)</div>
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<div class="line"><a id="l00048" name="l00048"></a><span class="lineno"> 48</span> : <a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a24e407f13d4d02156380ecc1a6748a76">type</a>(type_), <a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>(<a class="code hl_function" href="group__ops.html#ga2a466024f8061febc0a64be557644cb0">std</a>::move(shape_)), <a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a9bf7cae845ab633247c1811613ece8bd">strides</a>(<a class="code hl_function" href="group__ops.html#ga2a466024f8061febc0a64be557644cb0">std</a>::move(strides_)) {}</div>
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</div>
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<div class="line"><a id="l00049" name="l00049"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_reduction_plan.html#aec7496f3740a0b0d51aaa606f6fd68f4"> 49</a></span> <a class="code hl_function" href="structmlx_1_1core_1_1_reduction_plan.html#aec7496f3740a0b0d51aaa606f6fd68f4">ReductionPlan</a>(<a class="code hl_enumeration" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65">ReductionOpType</a> type_) : <a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a24e407f13d4d02156380ecc1a6748a76">type</a>(type_) {}</div>
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<div class="line"><a id="l00050" name="l00050"></a><span class="lineno"> 50</span>};</div>
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</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"><a class="line" href="namespacemlx_1_1core.html#ac97b5a6f009ca3d99854ce9512c20dba"> 52</a></span><a class="code hl_struct" href="structmlx_1_1core_1_1_reduction_plan.html">ReductionPlan</a> <a class="code hl_function" href="namespacemlx_1_1core.html#ac97b5a6f009ca3d99854ce9512c20dba">get_reduction_plan</a>(<span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& x, <span class="keyword">const</span> std::vector<int>& axes);</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="comment">// Helper for the ndimensional strided loop</span></div>
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<div class="line"><a id="l00055" name="l00055"></a><span class="lineno"> 55</span><span class="comment">// Should this be in utils?</span></div>
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<div class="line"><a id="l00056" name="l00056"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#a9a9254ce9975ec247a2718bc02d6f201"> 56</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9a9254ce9975ec247a2718bc02d6f201">nd_loop</a>(</div>
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<div class="line"><a id="l00057" name="l00057"></a><span class="lineno"> 57</span> std::function<<span class="keywordtype">void</span>(<span class="keywordtype">int</span>)> callback,</div>
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<div class="line"><a id="l00058" name="l00058"></a><span class="lineno"> 58</span> <span class="keyword">const</span> std::vector<int>& shape,</div>
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<div class="line"><a id="l00059" name="l00059"></a><span class="lineno"> 59</span> <span class="keyword">const</span> std::vector<size_t>& strides);</div>
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<div class="line"><a id="l00060" name="l00060"></a><span class="lineno"> 60</span> </div>
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<div class="line"><a id="l00061" name="l00061"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#a44c3ea6db6553c3f6552b9ba64a69494"> 61</a></span>std::pair<std::vector<int>, std::vector<size_t>> <a class="code hl_function" href="namespacemlx_1_1core.html#a44c3ea6db6553c3f6552b9ba64a69494">shapes_without_reduction_axes</a>(</div>
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<div class="line"><a id="l00062" name="l00062"></a><span class="lineno"> 62</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& x,</div>
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<div class="line"><a id="l00063" name="l00063"></a><span class="lineno"> 63</span> <span class="keyword">const</span> std::vector<int>& axes);</div>
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<div class="line"><a id="l00064" name="l00064"></a><span class="lineno"> 64</span> </div>
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<div class="line"><a id="l00065" name="l00065"></a><span class="lineno"> 65</span><span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> U, <span class="keyword">typename</span> Op></div>
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<div class="foldopen" id="foldopen00066" data-start="{" data-end="};">
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<div class="line"><a id="l00066" name="l00066"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_default_strided_reduce.html"> 66</a></span><span class="keyword">struct </span><a class="code hl_struct" href="structmlx_1_1core_1_1_default_strided_reduce.html">DefaultStridedReduce</a> {</div>
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<div class="line"><a id="l00067" name="l00067"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_default_strided_reduce.html#ac871f55a7ddd205574974cb4492a240b"> 67</a></span> Op <a class="code hl_variable" href="structmlx_1_1core_1_1_default_strided_reduce.html#ac871f55a7ddd205574974cb4492a240b">op</a>;</div>
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<div class="line"><a id="l00068" name="l00068"></a><span class="lineno"> 68</span> </div>
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<div class="line"><a id="l00069" name="l00069"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_default_strided_reduce.html#a477e5dd0dd33071e48769d11d19a13fb"> 69</a></span> <a class="code hl_function" href="structmlx_1_1core_1_1_default_strided_reduce.html#a477e5dd0dd33071e48769d11d19a13fb">DefaultStridedReduce</a>(Op op_) : <a class="code hl_variable" href="structmlx_1_1core_1_1_default_strided_reduce.html#ac871f55a7ddd205574974cb4492a240b">op</a>(op_) {}</div>
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<div class="line"><a id="l00070" name="l00070"></a><span class="lineno"> 70</span> </div>
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<div class="foldopen" id="foldopen00071" data-start="{" data-end="}">
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<div class="line"><a id="l00071" name="l00071"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_default_strided_reduce.html#a024682ab93b84e544a07e3a9c3c51fba"> 71</a></span> <span class="keywordtype">void</span> <a class="code hl_function" href="structmlx_1_1core_1_1_default_strided_reduce.html#a024682ab93b84e544a07e3a9c3c51fba">operator()</a>(<span class="keyword">const</span> T* x, U* accumulator, <span class="keywordtype">int</span> size, <span class="keywordtype">size_t</span> stride) {</div>
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<div class="line"><a id="l00072" name="l00072"></a><span class="lineno"> 72</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < size; i++) {</div>
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<div class="line"><a id="l00073" name="l00073"></a><span class="lineno"> 73</span> U* moving_accumulator = accumulator;</div>
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<div class="line"><a id="l00074" name="l00074"></a><span class="lineno"> 74</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j < stride; j++) {</div>
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<div class="line"><a id="l00075" name="l00075"></a><span class="lineno"> 75</span> <a class="code hl_variable" href="structmlx_1_1core_1_1_default_strided_reduce.html#ac871f55a7ddd205574974cb4492a240b">op</a>(moving_accumulator, *x);</div>
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<div class="line"><a id="l00076" name="l00076"></a><span class="lineno"> 76</span> moving_accumulator++;</div>
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<div class="line"><a id="l00077" name="l00077"></a><span class="lineno"> 77</span> x++;</div>
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<div class="line"><a id="l00078" name="l00078"></a><span class="lineno"> 78</span> }</div>
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<div class="line"><a id="l00079" name="l00079"></a><span class="lineno"> 79</span> }</div>
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<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"> 80</span> }</div>
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</div>
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<div class="line"><a id="l00081" name="l00081"></a><span class="lineno"> 81</span>};</div>
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</div>
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<div class="line"><a id="l00082" name="l00082"></a><span class="lineno"> 82</span> </div>
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<div class="line"><a id="l00083" name="l00083"></a><span class="lineno"> 83</span><span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> U, <span class="keyword">typename</span> Op></div>
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<div class="foldopen" id="foldopen00084" data-start="{" data-end="};">
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<div class="line"><a id="l00084" name="l00084"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_default_contiguous_reduce.html"> 84</a></span><span class="keyword">struct </span><a class="code hl_struct" href="structmlx_1_1core_1_1_default_contiguous_reduce.html">DefaultContiguousReduce</a> {</div>
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<div class="line"><a id="l00085" name="l00085"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_default_contiguous_reduce.html#a1928f07db988715cc177999e386f4830"> 85</a></span> Op <a class="code hl_variable" href="structmlx_1_1core_1_1_default_contiguous_reduce.html#a1928f07db988715cc177999e386f4830">op</a>;</div>
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<div class="line"><a id="l00086" name="l00086"></a><span class="lineno"> 86</span> </div>
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<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_default_contiguous_reduce.html#aeb4fb7fa1a4c8e7d1da1f450ce95c57f"> 87</a></span> <a class="code hl_function" href="structmlx_1_1core_1_1_default_contiguous_reduce.html#aeb4fb7fa1a4c8e7d1da1f450ce95c57f">DefaultContiguousReduce</a>(Op op_) : <a class="code hl_variable" href="structmlx_1_1core_1_1_default_contiguous_reduce.html#a1928f07db988715cc177999e386f4830">op</a>(op_) {}</div>
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<div class="line"><a id="l00088" name="l00088"></a><span class="lineno"> 88</span> </div>
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<div class="foldopen" id="foldopen00089" data-start="{" data-end="}">
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<div class="line"><a id="l00089" name="l00089"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_default_contiguous_reduce.html#a08144c7a3cdf10af5e47f4575da3694f"> 89</a></span> <span class="keywordtype">void</span> <a class="code hl_function" href="structmlx_1_1core_1_1_default_contiguous_reduce.html#a08144c7a3cdf10af5e47f4575da3694f">operator()</a>(<span class="keyword">const</span> T* x, U* accumulator, <span class="keywordtype">int</span> size) {</div>
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<div class="line"><a id="l00090" name="l00090"></a><span class="lineno"> 90</span> <span class="keywordflow">while</span> (size-- > 0) {</div>
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<div class="line"><a id="l00091" name="l00091"></a><span class="lineno"> 91</span> <a class="code hl_variable" href="structmlx_1_1core_1_1_default_contiguous_reduce.html#a1928f07db988715cc177999e386f4830">op</a>(accumulator, *x);</div>
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<div class="line"><a id="l00092" name="l00092"></a><span class="lineno"> 92</span> x++;</div>
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<div class="line"><a id="l00093" name="l00093"></a><span class="lineno"> 93</span> }</div>
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<div class="line"><a id="l00094" name="l00094"></a><span class="lineno"> 94</span> }</div>
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</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>
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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><span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> U, <span class="keyword">typename</span> OpS, <span class="keyword">typename</span> OpC, <span class="keyword">typename</span> Op></div>
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<div class="foldopen" id="foldopen00098" data-start="{" data-end="}">
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<div class="line"><a id="l00098" name="l00098"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#aa08ffc1e8f2c58afb2d463496f827ef0"> 98</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core.html#aa08ffc1e8f2c58afb2d463496f827ef0">reduction_op</a>(</div>
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<div class="line"><a id="l00099" name="l00099"></a><span class="lineno"> 99</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& x,</div>
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<div class="line"><a id="l00100" name="l00100"></a><span class="lineno"> 100</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="l00101" name="l00101"></a><span class="lineno"> 101</span> <span class="keyword">const</span> std::vector<int>& axes,</div>
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<div class="line"><a id="l00102" name="l00102"></a><span class="lineno"> 102</span> U init,</div>
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<div class="line"><a id="l00103" name="l00103"></a><span class="lineno"> 103</span> OpS ops,</div>
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<div class="line"><a id="l00104" name="l00104"></a><span class="lineno"> 104</span> OpC opc,</div>
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<div class="line"><a id="l00105" name="l00105"></a><span class="lineno"> 105</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="l00106" name="l00106"></a><span class="lineno"> 106</span> out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a631acd8e318189640b8338f9ae1a554d">set_data</a>(<a class="code hl_function" href="namespacemlx_1_1core_1_1allocator.html#a86ac0a11ff78f21e717f641716c34abc">allocator::malloc_or_wait</a>(out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a387b67cd3ef5cfc1e749c371766c4a05">nbytes</a>()));</div>
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<div class="line"><a id="l00107" name="l00107"></a><span class="lineno"> 107</span> <a class="code hl_struct" href="structmlx_1_1core_1_1_reduction_plan.html">ReductionPlan</a> plan = <a class="code hl_function" href="namespacemlx_1_1core.html#ac97b5a6f009ca3d99854ce9512c20dba">get_reduction_plan</a>(x, axes);</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> <span class="keywordflow">if</span> (plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a24e407f13d4d02156380ecc1a6748a76">type</a> == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ae4e34c7154eb8dc47aa8503209730424">ContiguousAllReduce</a>) {</div>
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<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"> 110</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="l00111" name="l00111"></a><span class="lineno"> 111</span> *out_ptr = init;</div>
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<div class="line"><a id="l00112" name="l00112"></a><span class="lineno"> 112</span> opc(x.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T>(), out_ptr, x.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a598f87161926d9e0b516860f0ea2c8f6">size</a>());</div>
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<div class="line"><a id="l00113" name="l00113"></a><span class="lineno"> 113</span> <span class="keywordflow">return</span>;</div>
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<div class="line"><a id="l00114" name="l00114"></a><span class="lineno"> 114</span> }</div>
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<div class="line"><a id="l00115" name="l00115"></a><span class="lineno"> 115</span> </div>
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<div class="line"><a id="l00116" name="l00116"></a><span class="lineno"> 116</span> std::vector<int> shape;</div>
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<div class="line"><a id="l00117" name="l00117"></a><span class="lineno"> 117</span> std::vector<size_t> strides;</div>
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<div class="line"><a id="l00118" name="l00118"></a><span class="lineno"> 118</span> </div>
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<div class="line"><a id="l00119" name="l00119"></a><span class="lineno"> 119</span> <span class="keywordflow">if</span> (plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a24e407f13d4d02156380ecc1a6748a76">type</a> == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ad2547f25dffe8d8936dbec25601cfc84">ContiguousReduce</a> && plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>.size() == 1) {</div>
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<div class="line"><a id="l00120" name="l00120"></a><span class="lineno"> 120</span> <span class="keywordtype">int</span> reduction_size = plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>[0];</div>
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<div class="line"><a id="l00121" name="l00121"></a><span class="lineno"> 121</span> <span class="keyword">const</span> T* x_ptr = x.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T>();</div>
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<div class="line"><a id="l00122" name="l00122"></a><span class="lineno"> 122</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="l00123" name="l00123"></a><span class="lineno"> 123</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a598f87161926d9e0b516860f0ea2c8f6">size</a>(); i++, out_ptr++, x_ptr += reduction_size) {</div>
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<div class="line"><a id="l00124" name="l00124"></a><span class="lineno"> 124</span> *out_ptr = init;</div>
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<div class="line"><a id="l00125" name="l00125"></a><span class="lineno"> 125</span> opc(x_ptr, out_ptr, reduction_size);</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="keywordflow">return</span>;</div>
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<div class="line"><a id="l00128" name="l00128"></a><span class="lineno"> 128</span> }</div>
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<div class="line"><a id="l00129" name="l00129"></a><span class="lineno"> 129</span> </div>
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<div class="line"><a id="l00130" name="l00130"></a><span class="lineno"> 130</span> <span class="keywordflow">if</span> (plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a24e407f13d4d02156380ecc1a6748a76">type</a> == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65a540cf31fe6858115a02e789938297cdb">GeneralContiguousReduce</a> || plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a24e407f13d4d02156380ecc1a6748a76">type</a> == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ad2547f25dffe8d8936dbec25601cfc84">ContiguousReduce</a>) {</div>
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<div class="line"><a id="l00131" name="l00131"></a><span class="lineno"> 131</span> <span class="keywordtype">int</span> reduction_size = plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>.back();</div>
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<div class="line"><a id="l00132" name="l00132"></a><span class="lineno"> 132</span> plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>.pop_back();</div>
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<div class="line"><a id="l00133" name="l00133"></a><span class="lineno"> 133</span> plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a9bf7cae845ab633247c1811613ece8bd">strides</a>.pop_back();</div>
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<div class="line"><a id="l00134" name="l00134"></a><span class="lineno"> 134</span> <span class="keyword">const</span> T* x_ptr = x.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T>();</div>
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<div class="line"><a id="l00135" name="l00135"></a><span class="lineno"> 135</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="l00136" name="l00136"></a><span class="lineno"> 136</span> <span class="comment">// Unrolling the following loop (and implementing it in order for</span></div>
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<div class="line"><a id="l00137" name="l00137"></a><span class="lineno"> 137</span> <span class="comment">// ContiguousReduce) should hold extra performance boost.</span></div>
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<div class="line"><a id="l00138" name="l00138"></a><span class="lineno"> 138</span> std::tie(shape, strides) = <a class="code hl_function" href="namespacemlx_1_1core.html#a44c3ea6db6553c3f6552b9ba64a69494">shapes_without_reduction_axes</a>(x, axes);</div>
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<div class="line"><a id="l00139" name="l00139"></a><span class="lineno"> 139</span> <span class="keywordflow">if</span> (plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>.size() == 0) {</div>
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<div class="line"><a id="l00140" name="l00140"></a><span class="lineno"> 140</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a598f87161926d9e0b516860f0ea2c8f6">size</a>(); i++, out_ptr++) {</div>
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<div class="line"><a id="l00141" name="l00141"></a><span class="lineno"> 141</span> <span class="keywordtype">int</span> offset = <a class="code hl_function" href="namespacemlx_1_1core.html#a4950c3248e70280b406a4f1430a85880">elem_to_loc</a>(i, shape, strides);</div>
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<div class="line"><a id="l00142" name="l00142"></a><span class="lineno"> 142</span> *out_ptr = init;</div>
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<div class="line"><a id="l00143" name="l00143"></a><span class="lineno"> 143</span> opc(x_ptr + offset, out_ptr, reduction_size);</div>
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<div class="line"><a id="l00144" name="l00144"></a><span class="lineno"> 144</span> }</div>
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<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"> 145</span> } <span class="keywordflow">else</span> {</div>
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<div class="line"><a id="l00146" name="l00146"></a><span class="lineno"> 146</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a598f87161926d9e0b516860f0ea2c8f6">size</a>(); i++, out_ptr++) {</div>
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<div class="line"><a id="l00147" name="l00147"></a><span class="lineno"> 147</span> <span class="keywordtype">int</span> offset = <a class="code hl_function" href="namespacemlx_1_1core.html#a4950c3248e70280b406a4f1430a85880">elem_to_loc</a>(i, shape, strides);</div>
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<div class="line"><a id="l00148" name="l00148"></a><span class="lineno"> 148</span> *out_ptr = init;</div>
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<div class="line"><a id="l00149" name="l00149"></a><span class="lineno"> 149</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9a9254ce9975ec247a2718bc02d6f201">nd_loop</a>(</div>
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<div class="line"><a id="l00150" name="l00150"></a><span class="lineno"> 150</span> [&](<span class="keywordtype">int</span> extra_offset) {</div>
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<div class="line"><a id="l00151" name="l00151"></a><span class="lineno"> 151</span> opc(x_ptr + offset + extra_offset, out_ptr, reduction_size);</div>
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<div class="line"><a id="l00152" name="l00152"></a><span class="lineno"> 152</span> },</div>
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<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"> 153</span> plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>,</div>
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<div class="line"><a id="l00154" name="l00154"></a><span class="lineno"> 154</span> plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a9bf7cae845ab633247c1811613ece8bd">strides</a>);</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 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="keywordflow">return</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="keywordflow">if</span> (plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a24e407f13d4d02156380ecc1a6748a76">type</a> == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ab48dac7508a2c790de1bdc33f29177ed">ContiguousStridedReduce</a> && plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>.size() == 1) {</div>
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<div class="line"><a id="l00161" name="l00161"></a><span class="lineno"> 161</span> <span class="keywordtype">int</span> reduction_size = plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>.back();</div>
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<div class="line"><a id="l00162" name="l00162"></a><span class="lineno"> 162</span> <span class="keywordtype">size_t</span> reduction_stride = plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a9bf7cae845ab633247c1811613ece8bd">strides</a>.back();</div>
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<div class="line"><a id="l00163" name="l00163"></a><span class="lineno"> 163</span> plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>.pop_back();</div>
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<div class="line"><a id="l00164" name="l00164"></a><span class="lineno"> 164</span> plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a9bf7cae845ab633247c1811613ece8bd">strides</a>.pop_back();</div>
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<div class="line"><a id="l00165" name="l00165"></a><span class="lineno"> 165</span> <span class="keyword">const</span> T* x_ptr = x.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T>();</div>
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<div class="line"><a id="l00166" name="l00166"></a><span class="lineno"> 166</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="l00167" name="l00167"></a><span class="lineno"> 167</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a598f87161926d9e0b516860f0ea2c8f6">size</a>(); i += reduction_stride) {</div>
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<div class="line"><a id="l00168" name="l00168"></a><span class="lineno"> 168</span> std::fill_n(out_ptr, reduction_stride, init);</div>
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<div class="line"><a id="l00169" name="l00169"></a><span class="lineno"> 169</span> ops(x_ptr, out_ptr, reduction_size, reduction_stride);</div>
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<div class="line"><a id="l00170" name="l00170"></a><span class="lineno"> 170</span> x_ptr += reduction_stride * reduction_size;</div>
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<div class="line"><a id="l00171" name="l00171"></a><span class="lineno"> 171</span> out_ptr += reduction_stride;</div>
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<div class="line"><a id="l00172" name="l00172"></a><span class="lineno"> 172</span> }</div>
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<div class="line"><a id="l00173" name="l00173"></a><span class="lineno"> 173</span> <span class="keywordflow">return</span>;</div>
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<div class="line"><a id="l00174" name="l00174"></a><span class="lineno"> 174</span> }</div>
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<div class="line"><a id="l00175" name="l00175"></a><span class="lineno"> 175</span> </div>
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<div class="line"><a id="l00176" name="l00176"></a><span class="lineno"> 176</span> <span class="keywordflow">if</span> (plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a24e407f13d4d02156380ecc1a6748a76">type</a> == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ad999b1a8ae1d7436efb5ffdfafb1dd3d">GeneralStridedReduce</a> ||</div>
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<div class="line"><a id="l00177" name="l00177"></a><span class="lineno"> 177</span> plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a24e407f13d4d02156380ecc1a6748a76">type</a> == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ab48dac7508a2c790de1bdc33f29177ed">ContiguousStridedReduce</a>) {</div>
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<div class="line"><a id="l00178" name="l00178"></a><span class="lineno"> 178</span> <span class="keywordtype">int</span> reduction_size = plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>.back();</div>
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<div class="line"><a id="l00179" name="l00179"></a><span class="lineno"> 179</span> <span class="keywordtype">size_t</span> reduction_stride = plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a9bf7cae845ab633247c1811613ece8bd">strides</a>.back();</div>
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<div class="line"><a id="l00180" name="l00180"></a><span class="lineno"> 180</span> plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>.pop_back();</div>
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<div class="line"><a id="l00181" name="l00181"></a><span class="lineno"> 181</span> plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a9bf7cae845ab633247c1811613ece8bd">strides</a>.pop_back();</div>
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<div class="line"><a id="l00182" name="l00182"></a><span class="lineno"> 182</span> <span class="keyword">const</span> T* x_ptr = x.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T>();</div>
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<div class="line"><a id="l00183" name="l00183"></a><span class="lineno"> 183</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="l00184" name="l00184"></a><span class="lineno"> 184</span> std::tie(shape, strides) = <a class="code hl_function" href="namespacemlx_1_1core.html#a44c3ea6db6553c3f6552b9ba64a69494">shapes_without_reduction_axes</a>(x, axes);</div>
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<div class="line"><a id="l00185" name="l00185"></a><span class="lineno"> 185</span> <span class="keywordflow">if</span> (plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>.size() == 0) {</div>
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<div class="line"><a id="l00186" name="l00186"></a><span class="lineno"> 186</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a598f87161926d9e0b516860f0ea2c8f6">size</a>(); i += reduction_stride) {</div>
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<div class="line"><a id="l00187" name="l00187"></a><span class="lineno"> 187</span> <span class="keywordtype">int</span> offset = <a class="code hl_function" href="namespacemlx_1_1core.html#a4950c3248e70280b406a4f1430a85880">elem_to_loc</a>(i, shape, strides);</div>
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<div class="line"><a id="l00188" name="l00188"></a><span class="lineno"> 188</span> std::fill_n(out_ptr, reduction_stride, init);</div>
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<div class="line"><a id="l00189" name="l00189"></a><span class="lineno"> 189</span> ops(x_ptr + offset, out_ptr, reduction_size, reduction_stride);</div>
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<div class="line"><a id="l00190" name="l00190"></a><span class="lineno"> 190</span> out_ptr += reduction_stride;</div>
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<div class="line"><a id="l00191" name="l00191"></a><span class="lineno"> 191</span> }</div>
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<div class="line"><a id="l00192" name="l00192"></a><span class="lineno"> 192</span> } <span class="keywordflow">else</span> {</div>
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<div class="line"><a id="l00193" name="l00193"></a><span class="lineno"> 193</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a598f87161926d9e0b516860f0ea2c8f6">size</a>(); i += reduction_stride) {</div>
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<div class="line"><a id="l00194" name="l00194"></a><span class="lineno"> 194</span> <span class="keywordtype">int</span> offset = <a class="code hl_function" href="namespacemlx_1_1core.html#a4950c3248e70280b406a4f1430a85880">elem_to_loc</a>(i, shape, strides);</div>
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<div class="line"><a id="l00195" name="l00195"></a><span class="lineno"> 195</span> std::fill_n(out_ptr, reduction_stride, init);</div>
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<div class="line"><a id="l00196" name="l00196"></a><span class="lineno"> 196</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9a9254ce9975ec247a2718bc02d6f201">nd_loop</a>(</div>
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<div class="line"><a id="l00197" name="l00197"></a><span class="lineno"> 197</span> [&](<span class="keywordtype">int</span> extra_offset) {</div>
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<div class="line"><a id="l00198" name="l00198"></a><span class="lineno"> 198</span> ops(x_ptr + offset + extra_offset,</div>
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<div class="line"><a id="l00199" name="l00199"></a><span class="lineno"> 199</span> out_ptr,</div>
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<div class="line"><a id="l00200" name="l00200"></a><span class="lineno"> 200</span> reduction_size,</div>
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<div class="line"><a id="l00201" name="l00201"></a><span class="lineno"> 201</span> reduction_stride);</div>
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<div class="line"><a id="l00202" name="l00202"></a><span class="lineno"> 202</span> },</div>
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<div class="line"><a id="l00203" name="l00203"></a><span class="lineno"> 203</span> plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>,</div>
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<div class="line"><a id="l00204" name="l00204"></a><span class="lineno"> 204</span> plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a9bf7cae845ab633247c1811613ece8bd">strides</a>);</div>
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<div class="line"><a id="l00205" name="l00205"></a><span class="lineno"> 205</span> out_ptr += reduction_stride;</div>
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<div class="line"><a id="l00206" name="l00206"></a><span class="lineno"> 206</span> }</div>
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<div class="line"><a id="l00207" name="l00207"></a><span class="lineno"> 207</span> }</div>
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<div class="line"><a id="l00208" name="l00208"></a><span class="lineno"> 208</span> <span class="keywordflow">return</span>;</div>
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<div class="line"><a id="l00209" name="l00209"></a><span class="lineno"> 209</span> }</div>
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<div class="line"><a id="l00210" name="l00210"></a><span class="lineno"> 210</span> </div>
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<div class="line"><a id="l00211" name="l00211"></a><span class="lineno"> 211</span> <span class="keywordflow">if</span> (plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a24e407f13d4d02156380ecc1a6748a76">type</a> == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65a3622f95ed0ec99657f9ad8ef39ec2184">GeneralReduce</a>) {</div>
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<div class="line"><a id="l00212" name="l00212"></a><span class="lineno"> 212</span> <span class="keyword">const</span> T* x_ptr = x.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T>();</div>
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<div class="line"><a id="l00213" name="l00213"></a><span class="lineno"> 213</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="l00214" name="l00214"></a><span class="lineno"> 214</span> std::tie(shape, strides) = <a class="code hl_function" href="namespacemlx_1_1core.html#a44c3ea6db6553c3f6552b9ba64a69494">shapes_without_reduction_axes</a>(x, axes);</div>
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<div class="line"><a id="l00215" name="l00215"></a><span class="lineno"> 215</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a598f87161926d9e0b516860f0ea2c8f6">size</a>(); i++, out_ptr++) {</div>
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<div class="line"><a id="l00216" name="l00216"></a><span class="lineno"> 216</span> <span class="keywordtype">int</span> offset = <a class="code hl_function" href="namespacemlx_1_1core.html#a4950c3248e70280b406a4f1430a85880">elem_to_loc</a>(i, shape, strides);</div>
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<div class="line"><a id="l00217" name="l00217"></a><span class="lineno"> 217</span> U val = init;</div>
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<div class="line"><a id="l00218" name="l00218"></a><span class="lineno"> 218</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9a9254ce9975ec247a2718bc02d6f201">nd_loop</a>(</div>
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<div class="line"><a id="l00219" name="l00219"></a><span class="lineno"> 219</span> [&](<span class="keywordtype">int</span> extra_offset) { <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(&val, *(x_ptr + offset + extra_offset)); },</div>
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<div class="line"><a id="l00220" name="l00220"></a><span class="lineno"> 220</span> plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">shape</a>,</div>
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<div class="line"><a id="l00221" name="l00221"></a><span class="lineno"> 221</span> plan.<a class="code hl_variable" href="structmlx_1_1core_1_1_reduction_plan.html#a9bf7cae845ab633247c1811613ece8bd">strides</a>);</div>
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<div class="line"><a id="l00222" name="l00222"></a><span class="lineno"> 222</span> *out_ptr = val;</div>
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<div class="line"><a id="l00223" name="l00223"></a><span class="lineno"> 223</span> }</div>
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<div class="line"><a id="l00224" name="l00224"></a><span class="lineno"> 224</span> }</div>
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<div class="line"><a id="l00225" name="l00225"></a><span class="lineno"> 225</span>}</div>
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</div>
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<div class="line"><a id="l00226" name="l00226"></a><span class="lineno"> 226</span> </div>
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<div class="line"><a id="l00227" name="l00227"></a><span class="lineno"> 227</span><span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> U, <span class="keyword">typename</span> Op></div>
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<div class="foldopen" id="foldopen00228" data-start="{" data-end="}">
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<div class="line"><a id="l00228" name="l00228"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#a064d61b6ddc9e5d1e261a7e33de71083"> 228</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core.html#aa08ffc1e8f2c58afb2d463496f827ef0">reduction_op</a>(</div>
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<div class="line"><a id="l00229" name="l00229"></a><span class="lineno"> 229</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& x,</div>
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<div class="line"><a id="l00230" name="l00230"></a><span class="lineno"> 230</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="l00231" name="l00231"></a><span class="lineno"> 231</span> <span class="keyword">const</span> std::vector<int>& axes,</div>
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<div class="line"><a id="l00232" name="l00232"></a><span class="lineno"> 232</span> U init,</div>
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<div class="line"><a id="l00233" name="l00233"></a><span class="lineno"> 233</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="l00234" name="l00234"></a><span class="lineno"> 234</span> <a class="code hl_struct" href="structmlx_1_1core_1_1_default_strided_reduce.html">DefaultStridedReduce<T, U, Op></a> ops(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
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<div class="line"><a id="l00235" name="l00235"></a><span class="lineno"> 235</span> <a class="code hl_struct" href="structmlx_1_1core_1_1_default_contiguous_reduce.html">DefaultContiguousReduce<T, U, Op></a> opc(<a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
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<div class="line"><a id="l00236" name="l00236"></a><span class="lineno"> 236</span> reduction_op<T, U>(x, out, axes, init, ops, opc, <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>);</div>
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<div class="line"><a id="l00237" name="l00237"></a><span class="lineno"> 237</span>}</div>
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</div>
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<div class="line"><a id="l00238" name="l00238"></a><span class="lineno"> 238</span> </div>
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<div class="line"><a id="l00239" name="l00239"></a><span class="lineno"> 239</span>} <span class="comment">// namespace mlx::core</span></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:20</div></div>
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<div class="ttc" id="aclassmlx_1_1core_1_1array_html_a387b67cd3ef5cfc1e749c371766c4a05"><div class="ttname"><a href="classmlx_1_1core_1_1array.html#a387b67cd3ef5cfc1e749c371766c4a05">mlx::core::array::nbytes</a></div><div class="ttdeci">size_t nbytes() const</div><div class="ttdoc">The number of bytes in the array.</div><div class="ttdef"><b>Definition</b> array.h:89</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:84</div></div>
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<div class="ttc" id="aclassmlx_1_1core_1_1array_html_a631acd8e318189640b8338f9ae1a554d"><div class="ttname"><a href="classmlx_1_1core_1_1array.html#a631acd8e318189640b8338f9ae1a554d">mlx::core::array::set_data</a></div><div class="ttdeci">void set_data(allocator::Buffer buffer, deleter_t d=allocator::free)</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:313</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="agroup__ops_html_ga2a466024f8061febc0a64be557644cb0"><div class="ttname"><a href="group__ops.html#ga2a466024f8061febc0a64be557644cb0">mlx::core::std</a></div><div class="ttdeci">array std(const array &a, bool keepdims, int ddof=0, StreamOrDevice s={})</div><div class="ttdoc">Computes the standard deviation of the elements of an array.</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_a12412984a1cabfe1189942c898f8fe65"><div class="ttname"><a href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65">mlx::core::ReductionOpType</a></div><div class="ttdeci">ReductionOpType</div><div class="ttdef"><b>Definition</b> reduce.h:9</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a12412984a1cabfe1189942c898f8fe65a3622f95ed0ec99657f9ad8ef39ec2184"><div class="ttname"><a href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65a3622f95ed0ec99657f9ad8ef39ec2184">mlx::core::GeneralReduce</a></div><div class="ttdeci">@ GeneralReduce</div><div class="ttdef"><b>Definition</b> reduce.h:36</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a12412984a1cabfe1189942c898f8fe65a540cf31fe6858115a02e789938297cdb"><div class="ttname"><a href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65a540cf31fe6858115a02e789938297cdb">mlx::core::GeneralContiguousReduce</a></div><div class="ttdeci">@ GeneralContiguousReduce</div><div class="ttdef"><b>Definition</b> reduce.h:25</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a12412984a1cabfe1189942c898f8fe65ab48dac7508a2c790de1bdc33f29177ed"><div class="ttname"><a href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ab48dac7508a2c790de1bdc33f29177ed">mlx::core::ContiguousStridedReduce</a></div><div class="ttdeci">@ ContiguousStridedReduce</div><div class="ttdef"><b>Definition</b> reduce.h:19</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a12412984a1cabfe1189942c898f8fe65ad2547f25dffe8d8936dbec25601cfc84"><div class="ttname"><a href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ad2547f25dffe8d8936dbec25601cfc84">mlx::core::ContiguousReduce</a></div><div class="ttdeci">@ ContiguousReduce</div><div class="ttdef"><b>Definition</b> reduce.h:15</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a12412984a1cabfe1189942c898f8fe65ad999b1a8ae1d7436efb5ffdfafb1dd3d"><div class="ttname"><a href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ad999b1a8ae1d7436efb5ffdfafb1dd3d">mlx::core::GeneralStridedReduce</a></div><div class="ttdeci">@ GeneralStridedReduce</div><div class="ttdef"><b>Definition</b> reduce.h:30</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a12412984a1cabfe1189942c898f8fe65ae4e34c7154eb8dc47aa8503209730424"><div class="ttname"><a href="namespacemlx_1_1core.html#a12412984a1cabfe1189942c898f8fe65ae4e34c7154eb8dc47aa8503209730424">mlx::core::ContiguousAllReduce</a></div><div class="ttdeci">@ ContiguousAllReduce</div><div class="ttdef"><b>Definition</b> reduce.h:11</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a44c3ea6db6553c3f6552b9ba64a69494"><div class="ttname"><a href="namespacemlx_1_1core.html#a44c3ea6db6553c3f6552b9ba64a69494">mlx::core::shapes_without_reduction_axes</a></div><div class="ttdeci">std::pair< std::vector< int >, std::vector< size_t > > shapes_without_reduction_axes(const array &x, const std::vector< int > &axes)</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_a9a9254ce9975ec247a2718bc02d6f201"><div class="ttname"><a href="namespacemlx_1_1core.html#a9a9254ce9975ec247a2718bc02d6f201">mlx::core::nd_loop</a></div><div class="ttdeci">void nd_loop(std::function< void(int)> callback, const std::vector< int > &shape, const std::vector< size_t > &strides)</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_aa08ffc1e8f2c58afb2d463496f827ef0"><div class="ttname"><a href="namespacemlx_1_1core.html#aa08ffc1e8f2c58afb2d463496f827ef0">mlx::core::reduction_op</a></div><div class="ttdeci">void reduction_op(const array &x, array &out, const std::vector< int > &axes, U init, OpS ops, OpC opc, Op op)</div><div class="ttdef"><b>Definition</b> reduce.h:98</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_ac97b5a6f009ca3d99854ce9512c20dba"><div class="ttname"><a href="namespacemlx_1_1core.html#ac97b5a6f009ca3d99854ce9512c20dba">mlx::core::get_reduction_plan</a></div><div class="ttdeci">ReductionPlan get_reduction_plan(const array &x, const std::vector< int > &axes)</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_default_contiguous_reduce_html"><div class="ttname"><a href="structmlx_1_1core_1_1_default_contiguous_reduce.html">mlx::core::DefaultContiguousReduce</a></div><div class="ttdef"><b>Definition</b> reduce.h:84</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_default_contiguous_reduce_html_a08144c7a3cdf10af5e47f4575da3694f"><div class="ttname"><a href="structmlx_1_1core_1_1_default_contiguous_reduce.html#a08144c7a3cdf10af5e47f4575da3694f">mlx::core::DefaultContiguousReduce::operator()</a></div><div class="ttdeci">void operator()(const T *x, U *accumulator, int size)</div><div class="ttdef"><b>Definition</b> reduce.h:89</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_default_contiguous_reduce_html_a1928f07db988715cc177999e386f4830"><div class="ttname"><a href="structmlx_1_1core_1_1_default_contiguous_reduce.html#a1928f07db988715cc177999e386f4830">mlx::core::DefaultContiguousReduce::op</a></div><div class="ttdeci">Op op</div><div class="ttdef"><b>Definition</b> reduce.h:85</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_default_contiguous_reduce_html_aeb4fb7fa1a4c8e7d1da1f450ce95c57f"><div class="ttname"><a href="structmlx_1_1core_1_1_default_contiguous_reduce.html#aeb4fb7fa1a4c8e7d1da1f450ce95c57f">mlx::core::DefaultContiguousReduce::DefaultContiguousReduce</a></div><div class="ttdeci">DefaultContiguousReduce(Op op_)</div><div class="ttdef"><b>Definition</b> reduce.h:87</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_default_strided_reduce_html"><div class="ttname"><a href="structmlx_1_1core_1_1_default_strided_reduce.html">mlx::core::DefaultStridedReduce</a></div><div class="ttdef"><b>Definition</b> reduce.h:66</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_default_strided_reduce_html_a024682ab93b84e544a07e3a9c3c51fba"><div class="ttname"><a href="structmlx_1_1core_1_1_default_strided_reduce.html#a024682ab93b84e544a07e3a9c3c51fba">mlx::core::DefaultStridedReduce::operator()</a></div><div class="ttdeci">void operator()(const T *x, U *accumulator, int size, size_t stride)</div><div class="ttdef"><b>Definition</b> reduce.h:71</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_default_strided_reduce_html_a477e5dd0dd33071e48769d11d19a13fb"><div class="ttname"><a href="structmlx_1_1core_1_1_default_strided_reduce.html#a477e5dd0dd33071e48769d11d19a13fb">mlx::core::DefaultStridedReduce::DefaultStridedReduce</a></div><div class="ttdeci">DefaultStridedReduce(Op op_)</div><div class="ttdef"><b>Definition</b> reduce.h:69</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_default_strided_reduce_html_ac871f55a7ddd205574974cb4492a240b"><div class="ttname"><a href="structmlx_1_1core_1_1_default_strided_reduce.html#ac871f55a7ddd205574974cb4492a240b">mlx::core::DefaultStridedReduce::op</a></div><div class="ttdeci">Op op</div><div class="ttdef"><b>Definition</b> reduce.h:67</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_reduction_plan_html"><div class="ttname"><a href="structmlx_1_1core_1_1_reduction_plan.html">mlx::core::ReductionPlan</a></div><div class="ttdef"><b>Definition</b> reduce.h:39</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_reduction_plan_html_a24e407f13d4d02156380ecc1a6748a76"><div class="ttname"><a href="structmlx_1_1core_1_1_reduction_plan.html#a24e407f13d4d02156380ecc1a6748a76">mlx::core::ReductionPlan::type</a></div><div class="ttdeci">ReductionOpType type</div><div class="ttdef"><b>Definition</b> reduce.h:40</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_reduction_plan_html_a3df6acc08ef92647aab19d68b0961610"><div class="ttname"><a href="structmlx_1_1core_1_1_reduction_plan.html#a3df6acc08ef92647aab19d68b0961610">mlx::core::ReductionPlan::ReductionPlan</a></div><div class="ttdeci">ReductionPlan(ReductionOpType type_, std::vector< int > shape_, std::vector< size_t > strides_)</div><div class="ttdef"><b>Definition</b> reduce.h:44</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_reduction_plan_html_a6cfa8771fa9caf6fdcc3d74c9fca83ae"><div class="ttname"><a href="structmlx_1_1core_1_1_reduction_plan.html#a6cfa8771fa9caf6fdcc3d74c9fca83ae">mlx::core::ReductionPlan::shape</a></div><div class="ttdeci">std::vector< int > shape</div><div class="ttdef"><b>Definition</b> reduce.h:41</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_reduction_plan_html_a9bf7cae845ab633247c1811613ece8bd"><div class="ttname"><a href="structmlx_1_1core_1_1_reduction_plan.html#a9bf7cae845ab633247c1811613ece8bd">mlx::core::ReductionPlan::strides</a></div><div class="ttdeci">std::vector< size_t > strides</div><div class="ttdef"><b>Definition</b> reduce.h:42</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_reduction_plan_html_aec7496f3740a0b0d51aaa606f6fd68f4"><div class="ttname"><a href="structmlx_1_1core_1_1_reduction_plan.html#aec7496f3740a0b0d51aaa606f6fd68f4">mlx::core::ReductionPlan::ReductionPlan</a></div><div class="ttdeci">ReductionPlan(ReductionOpType type_)</div><div class="ttdef"><b>Definition</b> reduce.h:49</div></div>
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