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<a href="cpu_2binary_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 <cassert></span></div>
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<div class="line"><a id="l00005" name="l00005"></a><span class="lineno"> 5</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="allocator_8h.html">mlx/allocator.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="array_8h.html">mlx/array.h</a>"</span></div>
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<div class="line"><a id="l00008" name="l00008"></a><span class="lineno"> 8</span><span class="preprocessor">#include "<a class="code" href="common_2binary_8h.html">mlx/backend/common/binary.h</a>"</span></div>
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<div class="line"><a id="l00009" name="l00009"></a><span class="lineno"> 9</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="l00010" name="l00010"></a><span class="lineno"> 10</span> </div>
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<div class="line"><a id="l00011" name="l00011"></a><span class="lineno"> 11</span><span class="preprocessor">#include "<a class="code" href="simd_8h.html">mlx/backend/cpu/simd/simd.h</a>"</span></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="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="l00014" name="l00014"></a><span class="lineno"> 14</span> </div>
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<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"> 15</span><span class="keyword">template</span> <<span class="keyword">typename</span> Op></div>
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<div class="foldopen" id="foldopen00016" data-start="{" data-end="};">
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<div class="line"><a id="l00016" name="l00016"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_vector_scalar.html"> 16</a></span><span class="keyword">struct </span><a class="code hl_function" href="structmlx_1_1core_1_1_vector_scalar.html#a97088143e6d301d753dcdd1ccdd82287">VectorScalar</a> {</div>
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<div class="line"><a id="l00017" name="l00017"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_vector_scalar.html#a5fe1744adb58aaa845acca1e46725537"> 17</a></span> Op <a class="code hl_variable" href="structmlx_1_1core_1_1_vector_scalar.html#a5fe1744adb58aaa845acca1e46725537">op</a>;</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"><a class="line" href="structmlx_1_1core_1_1_vector_scalar.html#a97088143e6d301d753dcdd1ccdd82287"> 19</a></span> <a class="code hl_function" href="structmlx_1_1core_1_1_vector_scalar.html#a97088143e6d301d753dcdd1ccdd82287">VectorScalar</a>(Op op_) : <a class="code hl_variable" href="structmlx_1_1core_1_1_vector_scalar.html#a5fe1744adb58aaa845acca1e46725537">op</a>(op_) {}</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="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> U></div>
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<div class="foldopen" id="foldopen00022" data-start="{" data-end="}">
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<div class="line"><a id="l00022" name="l00022"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_vector_scalar.html#a1af3ff644ce023a7e4f92a7c3634c44f"> 22</a></span> <span class="keywordtype">void</span> <a class="code hl_function" href="structmlx_1_1core_1_1_vector_scalar.html#a1af3ff644ce023a7e4f92a7c3634c44f">operator()</a>(<span class="keyword">const</span> T* a, <span class="keyword">const</span> T* b, U* dst, <span class="keywordtype">int</span> size) {</div>
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<div class="line"><a id="l00023" name="l00023"></a><span class="lineno"> 23</span> T scalar = *b;</div>
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<div class="line"><a id="l00024" name="l00024"></a><span class="lineno"> 24</span> <span class="keyword">constexpr</span> <span class="keywordtype">int</span> N = <a class="code hl_variable" href="namespacemlx_1_1core_1_1simd.html#ac91bd36c7caafd3c7ff176e7e2f81887">simd::max_size<T></a>;</div>
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<div class="line"><a id="l00025" name="l00025"></a><span class="lineno"> 25</span> <span class="keywordflow">while</span> (size >= N) {</div>
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<div class="line"><a id="l00026" name="l00026"></a><span class="lineno"> 26</span> <a class="code hl_function" href="namespacemlx_1_1core_1_1simd.html#afa2236afddfdec312eb7e27b89a5316a">simd::store</a>(dst, <a class="code hl_variable" href="structmlx_1_1core_1_1_vector_scalar.html#a5fe1744adb58aaa845acca1e46725537">op</a>(<a class="code hl_function" href="namespacemlx_1_1core_1_1simd.html#a4041676517d96870293e5448c7e2b5a4">simd::load<T, N></a>(a), <a class="code hl_struct" href="structmlx_1_1core_1_1simd_1_1_simd.html">simd::Simd<T, N></a>(scalar)));</div>
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<div class="line"><a id="l00027" name="l00027"></a><span class="lineno"> 27</span> dst += N;</div>
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<div class="line"><a id="l00028" name="l00028"></a><span class="lineno"> 28</span> a += N;</div>
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<div class="line"><a id="l00029" name="l00029"></a><span class="lineno"> 29</span> size -= N;</div>
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<div class="line"><a id="l00030" name="l00030"></a><span class="lineno"> 30</span> }</div>
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<div class="line"><a id="l00031" name="l00031"></a><span class="lineno"> 31</span> <span class="keywordflow">while</span> (size-- > 0) {</div>
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<div class="line"><a id="l00032" name="l00032"></a><span class="lineno"> 32</span> *dst = <a class="code hl_variable" href="structmlx_1_1core_1_1_vector_scalar.html#a5fe1744adb58aaa845acca1e46725537">op</a>(*a, scalar);</div>
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<div class="line"><a id="l00033" name="l00033"></a><span class="lineno"> 33</span> dst++;</div>
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<div class="line"><a id="l00034" name="l00034"></a><span class="lineno"> 34</span> a++;</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> }</div>
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</div>
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<div class="line"><a id="l00037" name="l00037"></a><span class="lineno"> 37</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="line"><a id="l00039" name="l00039"></a><span class="lineno"> 39</span><span class="keyword">template</span> <<span class="keyword">typename</span> Op></div>
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<div class="foldopen" id="foldopen00040" data-start="{" data-end="};">
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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_scalar_vector.html"> 40</a></span><span class="keyword">struct </span><a class="code hl_function" href="structmlx_1_1core_1_1_scalar_vector.html#a69d6a3ddd7586e8e19a42c5e6f5a287b">ScalarVector</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_scalar_vector.html#ac9c2214744bc972150740e169b603b9b"> 41</a></span> Op <a class="code hl_variable" href="structmlx_1_1core_1_1_scalar_vector.html#ac9c2214744bc972150740e169b603b9b">op</a>;</div>
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<div class="line"><a id="l00042" name="l00042"></a><span class="lineno"> 42</span> </div>
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<div class="line"><a id="l00043" name="l00043"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_scalar_vector.html#a69d6a3ddd7586e8e19a42c5e6f5a287b"> 43</a></span> <a class="code hl_function" href="structmlx_1_1core_1_1_scalar_vector.html#a69d6a3ddd7586e8e19a42c5e6f5a287b">ScalarVector</a>(Op op_) : <a class="code hl_variable" href="structmlx_1_1core_1_1_scalar_vector.html#ac9c2214744bc972150740e169b603b9b">op</a>(op_) {}</div>
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<div class="line"><a id="l00044" name="l00044"></a><span class="lineno"> 44</span> </div>
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<div class="line"><a id="l00045" name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> U></div>
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<div class="foldopen" id="foldopen00046" data-start="{" data-end="}">
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<div class="line"><a id="l00046" name="l00046"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_scalar_vector.html#ab174fe55970fb4ee1c6a2b7628a24df1"> 46</a></span> <span class="keywordtype">void</span> <a class="code hl_function" href="structmlx_1_1core_1_1_scalar_vector.html#ab174fe55970fb4ee1c6a2b7628a24df1">operator()</a>(<span class="keyword">const</span> T* a, <span class="keyword">const</span> T* b, U* dst, <span class="keywordtype">int</span> size) {</div>
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<div class="line"><a id="l00047" name="l00047"></a><span class="lineno"> 47</span> T scalar = *a;</div>
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<div class="line"><a id="l00048" name="l00048"></a><span class="lineno"> 48</span> <span class="keyword">constexpr</span> <span class="keywordtype">int</span> N = <a class="code hl_variable" href="namespacemlx_1_1core_1_1simd.html#ac91bd36c7caafd3c7ff176e7e2f81887">simd::max_size<T></a>;</div>
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<div class="line"><a id="l00049" name="l00049"></a><span class="lineno"> 49</span> <span class="keywordflow">while</span> (size >= N) {</div>
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<div class="line"><a id="l00050" name="l00050"></a><span class="lineno"> 50</span> <a class="code hl_function" href="namespacemlx_1_1core_1_1simd.html#afa2236afddfdec312eb7e27b89a5316a">simd::store</a>(dst, <a class="code hl_variable" href="structmlx_1_1core_1_1_scalar_vector.html#ac9c2214744bc972150740e169b603b9b">op</a>(<a class="code hl_struct" href="structmlx_1_1core_1_1simd_1_1_simd.html">simd::Simd<T, N></a>(scalar), <a class="code hl_function" href="namespacemlx_1_1core_1_1simd.html#a4041676517d96870293e5448c7e2b5a4">simd::load<T, N></a>(b)));</div>
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<div class="line"><a id="l00051" name="l00051"></a><span class="lineno"> 51</span> dst += N;</div>
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<div class="line"><a id="l00052" name="l00052"></a><span class="lineno"> 52</span> b += N;</div>
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<div class="line"><a id="l00053" name="l00053"></a><span class="lineno"> 53</span> size -= N;</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">while</span> (size-- > 0) {</div>
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<div class="line"><a id="l00056" name="l00056"></a><span class="lineno"> 56</span> *dst = <a class="code hl_variable" href="structmlx_1_1core_1_1_scalar_vector.html#ac9c2214744bc972150740e169b603b9b">op</a>(scalar, *b);</div>
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<div class="line"><a id="l00057" name="l00057"></a><span class="lineno"> 57</span> dst++;</div>
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<div class="line"><a id="l00058" name="l00058"></a><span class="lineno"> 58</span> b++;</div>
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<div class="line"><a id="l00059" name="l00059"></a><span class="lineno"> 59</span> }</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>
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<div class="line"><a id="l00061" name="l00061"></a><span class="lineno"> 61</span>};</div>
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</div>
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<div class="line"><a id="l00062" name="l00062"></a><span class="lineno"> 62</span> </div>
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<div class="line"><a id="l00063" name="l00063"></a><span class="lineno"> 63</span><span class="keyword">template</span> <<span class="keyword">typename</span> Op></div>
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<div class="foldopen" id="foldopen00064" data-start="{" data-end="};">
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<div class="line"><a id="l00064" name="l00064"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_vector_vector.html"> 64</a></span><span class="keyword">struct </span><a class="code hl_function" href="structmlx_1_1core_1_1_vector_vector.html#a4867666c95c597a113afb64f173cc022">VectorVector</a> {</div>
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<div class="line"><a id="l00065" name="l00065"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_vector_vector.html#a6d69d070c75cf0281e11e36e0717ab50"> 65</a></span> Op <a class="code hl_variable" href="structmlx_1_1core_1_1_vector_vector.html#a6d69d070c75cf0281e11e36e0717ab50">op</a>;</div>
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<div class="line"><a id="l00066" name="l00066"></a><span class="lineno"> 66</span> </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_vector_vector.html#a4867666c95c597a113afb64f173cc022"> 67</a></span> <a class="code hl_function" href="structmlx_1_1core_1_1_vector_vector.html#a4867666c95c597a113afb64f173cc022">VectorVector</a>(Op op_) : <a class="code hl_variable" href="structmlx_1_1core_1_1_vector_vector.html#a6d69d070c75cf0281e11e36e0717ab50">op</a>(op_) {}</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"> 69</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> U></div>
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<div class="foldopen" id="foldopen00070" data-start="{" data-end="}">
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<div class="line"><a id="l00070" name="l00070"></a><span class="lineno"><a class="line" href="structmlx_1_1core_1_1_vector_vector.html#a97a0bed419933d7685238a962f2e4215"> 70</a></span> <span class="keywordtype">void</span> <a class="code hl_function" href="structmlx_1_1core_1_1_vector_vector.html#a97a0bed419933d7685238a962f2e4215">operator()</a>(<span class="keyword">const</span> T* a, <span class="keyword">const</span> T* b, U* dst, <span class="keywordtype">int</span> size) {</div>
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<div class="line"><a id="l00071" name="l00071"></a><span class="lineno"> 71</span> <span class="keyword">constexpr</span> <span class="keywordtype">int</span> N = <a class="code hl_variable" href="namespacemlx_1_1core_1_1simd.html#ac91bd36c7caafd3c7ff176e7e2f81887">simd::max_size<T></a>;</div>
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<div class="line"><a id="l00072" name="l00072"></a><span class="lineno"> 72</span> <span class="keywordflow">while</span> (size >= N) {</div>
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<div class="line"><a id="l00073" name="l00073"></a><span class="lineno"> 73</span> <a class="code hl_function" href="namespacemlx_1_1core_1_1simd.html#afa2236afddfdec312eb7e27b89a5316a">simd::store</a>(dst, <a class="code hl_variable" href="structmlx_1_1core_1_1_vector_vector.html#a6d69d070c75cf0281e11e36e0717ab50">op</a>(<a class="code hl_function" href="namespacemlx_1_1core_1_1simd.html#a4041676517d96870293e5448c7e2b5a4">simd::load<T, N></a>(a), <a class="code hl_function" href="namespacemlx_1_1core_1_1simd.html#a4041676517d96870293e5448c7e2b5a4">simd::load<T, N></a>(b)));</div>
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<div class="line"><a id="l00074" name="l00074"></a><span class="lineno"> 74</span> dst += N;</div>
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<div class="line"><a id="l00075" name="l00075"></a><span class="lineno"> 75</span> a += N;</div>
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<div class="line"><a id="l00076" name="l00076"></a><span class="lineno"> 76</span> b += N;</div>
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<div class="line"><a id="l00077" name="l00077"></a><span class="lineno"> 77</span> size -= N;</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> <span class="keywordflow">while</span> (size-- > 0) {</div>
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<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"> 80</span> *dst = <a class="code hl_variable" href="structmlx_1_1core_1_1_vector_vector.html#a6d69d070c75cf0281e11e36e0717ab50">op</a>(*a, *b);</div>
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<div class="line"><a id="l00081" name="l00081"></a><span class="lineno"> 81</span> dst++;</div>
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<div class="line"><a id="l00082" name="l00082"></a><span class="lineno"> 82</span> a++;</div>
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<div class="line"><a id="l00083" name="l00083"></a><span class="lineno"> 83</span> b++;</div>
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<div class="line"><a id="l00084" name="l00084"></a><span class="lineno"> 84</span> }</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>
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<div class="line"><a id="l00086" name="l00086"></a><span class="lineno"> 86</span>};</div>
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</div>
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<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"> 87</span> </div>
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<div class="line"><a id="l00088" name="l00088"></a><span class="lineno"> 88</span><span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> U, <span class="keyword">typename</span> Op, <span class="keywordtype">int</span> D, <span class="keywordtype">bool</span> Str<span class="keywordtype">id</span>ed></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="namespacemlx_1_1core.html#a7ca09ebf776fe32db580f9038587ec31"> 89</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a7ca09ebf776fe32db580f9038587ec31">binary_op_dims</a>(</div>
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<div class="line"><a id="l00090" name="l00090"></a><span class="lineno"> 90</span> <span class="keyword">const</span> T* a,</div>
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<div class="line"><a id="l00091" name="l00091"></a><span class="lineno"> 91</span> <span class="keyword">const</span> T* b,</div>
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<div class="line"><a id="l00092" name="l00092"></a><span class="lineno"> 92</span> U* out,</div>
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<div class="line"><a id="l00093" name="l00093"></a><span class="lineno"> 93</span> Op op,</div>
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<div class="line"><a id="l00094" name="l00094"></a><span class="lineno"> 94</span> <span class="keyword">const</span> <a class="code hl_typedef" href="namespacemlx_1_1core.html#a694e23f2d59606643728ad443d621416">Shape</a>& shape,</div>
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<div class="line"><a id="l00095" name="l00095"></a><span class="lineno"> 95</span> <span class="keyword">const</span> <a class="code hl_typedef" href="namespacemlx_1_1core.html#a79939016d0972ded7db37130da2a8b5c">Strides</a>& a_strides,</div>
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<div class="line"><a id="l00096" name="l00096"></a><span class="lineno"> 96</span> <span class="keyword">const</span> <a class="code hl_typedef" href="namespacemlx_1_1core.html#a79939016d0972ded7db37130da2a8b5c">Strides</a>& b_strides,</div>
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<div class="line"><a id="l00097" name="l00097"></a><span class="lineno"> 97</span> <span class="keyword">const</span> <a class="code hl_typedef" href="namespacemlx_1_1core.html#a79939016d0972ded7db37130da2a8b5c">Strides</a>& out_strides,</div>
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<div class="line"><a id="l00098" name="l00098"></a><span class="lineno"> 98</span> <span class="keywordtype">int</span> axis) {</div>
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<div class="line"><a id="l00099" name="l00099"></a><span class="lineno"> 99</span> <span class="keyword">auto</span> stride_a = a_strides[axis];</div>
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<div class="line"><a id="l00100" name="l00100"></a><span class="lineno"> 100</span> <span class="keyword">auto</span> stride_b = b_strides[axis];</div>
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<div class="line"><a id="l00101" name="l00101"></a><span class="lineno"> 101</span> <span class="keyword">auto</span> stride_out = out_strides[axis];</div>
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<div class="line"><a id="l00102" name="l00102"></a><span class="lineno"> 102</span> <span class="keyword">auto</span> N = shape[axis];</div>
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<div class="line"><a id="l00103" name="l00103"></a><span class="lineno"> 103</span> </div>
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<div class="line"><a id="l00104" name="l00104"></a><span class="lineno"> 104</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; i++) {</div>
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<div class="line"><a id="l00105" name="l00105"></a><span class="lineno"> 105</span> <span class="keywordflow">if</span> <span class="keyword">constexpr</span> (D > 1) {</div>
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<div class="line"><a id="l00106" name="l00106"></a><span class="lineno"> 106</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a7ca09ebf776fe32db580f9038587ec31">binary_op_dims</a><T, U, Op, D - 1, Strided>(</div>
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<div class="line"><a id="l00107" name="l00107"></a><span class="lineno"> 107</span> a, b, out, op, shape, a_strides, b_strides, out_strides, axis + 1);</div>
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<div class="line"><a id="l00108" name="l00108"></a><span class="lineno"> 108</span> } <span class="keywordflow">else</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> <span class="keyword">constexpr</span> (Strided) {</div>
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<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"> 110</span> op(a, b, out, stride_out);</div>
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<div class="line"><a id="l00111" name="l00111"></a><span class="lineno"> 111</span> } <span class="keywordflow">else</span> {</div>
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<div class="line"><a id="l00112" name="l00112"></a><span class="lineno"> 112</span> *out = op(*a, *b);</div>
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<div class="line"><a id="l00113" name="l00113"></a><span class="lineno"> 113</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> out += stride_out;</div>
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<div class="line"><a id="l00116" name="l00116"></a><span class="lineno"> 116</span> a += stride_a;</div>
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<div class="line"><a id="l00117" name="l00117"></a><span class="lineno"> 117</span> b += stride_b;</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>}</div>
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</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><span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> U, <span class="keywordtype">bool</span> Str<span class="keywordtype">id</span>ed, <span class="keyword">typename</span> Op></div>
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<div class="foldopen" id="foldopen00122" data-start="{" data-end="}">
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<div class="line"><a id="l00122" name="l00122"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#a66c9ee5018168b9101de52e0122d9755"> 122</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a66c9ee5018168b9101de52e0122d9755">binary_op_dispatch_dims</a>(</div>
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<div class="line"><a id="l00123" name="l00123"></a><span class="lineno"> 123</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& a,</div>
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<div class="line"><a id="l00124" name="l00124"></a><span class="lineno"> 124</span> <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& b,</div>
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<div class="line"><a id="l00125" name="l00125"></a><span class="lineno"> 125</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="l00126" name="l00126"></a><span class="lineno"> 126</span> Op op,</div>
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<div class="line"><a id="l00127" name="l00127"></a><span class="lineno"> 127</span> <span class="keywordtype">int</span> dim,</div>
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<div class="line"><a id="l00128" name="l00128"></a><span class="lineno"> 128</span> <span class="keyword">const</span> <a class="code hl_typedef" href="namespacemlx_1_1core.html#a694e23f2d59606643728ad443d621416">Shape</a>& shape,</div>
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<div class="line"><a id="l00129" name="l00129"></a><span class="lineno"> 129</span> <span class="keyword">const</span> <a class="code hl_typedef" href="namespacemlx_1_1core.html#a79939016d0972ded7db37130da2a8b5c">Strides</a>& a_strides,</div>
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<div class="line"><a id="l00130" name="l00130"></a><span class="lineno"> 130</span> <span class="keyword">const</span> <a class="code hl_typedef" href="namespacemlx_1_1core.html#a79939016d0972ded7db37130da2a8b5c">Strides</a>& b_strides,</div>
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<div class="line"><a id="l00131" name="l00131"></a><span class="lineno"> 131</span> <span class="keyword">const</span> <a class="code hl_typedef" href="namespacemlx_1_1core.html#a79939016d0972ded7db37130da2a8b5c">Strides</a>& out_strides) {</div>
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<div class="line"><a id="l00132" name="l00132"></a><span class="lineno"> 132</span> <span class="keyword">const</span> T* a_ptr = a.<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="l00133" name="l00133"></a><span class="lineno"> 133</span> <span class="keyword">const</span> T* b_ptr = b.<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="l00134" name="l00134"></a><span class="lineno"> 134</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="l00135" name="l00135"></a><span class="lineno"> 135</span> <span class="keywordflow">switch</span> (dim) {</div>
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<div class="line"><a id="l00136" name="l00136"></a><span class="lineno"> 136</span> <span class="keywordflow">case</span> 1:</div>
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<div class="line"><a id="l00137" name="l00137"></a><span class="lineno"> 137</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a7ca09ebf776fe32db580f9038587ec31">binary_op_dims<T, U, Op, 1, Strided></a>(</div>
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<div class="line"><a id="l00138" name="l00138"></a><span class="lineno"> 138</span> a_ptr,</div>
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<div class="line"><a id="l00139" name="l00139"></a><span class="lineno"> 139</span> b_ptr,</div>
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<div class="line"><a id="l00140" name="l00140"></a><span class="lineno"> 140</span> out_ptr,</div>
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<div class="line"><a id="l00141" name="l00141"></a><span class="lineno"> 141</span> op,</div>
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<div class="line"><a id="l00142" name="l00142"></a><span class="lineno"> 142</span> shape,</div>
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<div class="line"><a id="l00143" name="l00143"></a><span class="lineno"> 143</span> a_strides,</div>
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<div class="line"><a id="l00144" name="l00144"></a><span class="lineno"> 144</span> b_strides,</div>
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<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"> 145</span> out_strides,</div>
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<div class="line"><a id="l00146" name="l00146"></a><span class="lineno"> 146</span> 0);</div>
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<div class="line"><a id="l00147" name="l00147"></a><span class="lineno"> 147</span> <span class="keywordflow">return</span>;</div>
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<div class="line"><a id="l00148" name="l00148"></a><span class="lineno"> 148</span> <span class="keywordflow">case</span> 2:</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#a7ca09ebf776fe32db580f9038587ec31">binary_op_dims<T, U, Op, 2, Strided></a>(</div>
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<div class="line"><a id="l00150" name="l00150"></a><span class="lineno"> 150</span> a_ptr,</div>
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<div class="line"><a id="l00151" name="l00151"></a><span class="lineno"> 151</span> b_ptr,</div>
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<div class="line"><a id="l00152" name="l00152"></a><span class="lineno"> 152</span> out_ptr,</div>
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<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"> 153</span> op,</div>
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<div class="line"><a id="l00154" name="l00154"></a><span class="lineno"> 154</span> shape,</div>
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<div class="line"><a id="l00155" name="l00155"></a><span class="lineno"> 155</span> a_strides,</div>
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<div class="line"><a id="l00156" name="l00156"></a><span class="lineno"> 156</span> b_strides,</div>
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<div class="line"><a id="l00157" name="l00157"></a><span class="lineno"> 157</span> out_strides,</div>
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<div class="line"><a id="l00158" name="l00158"></a><span class="lineno"> 158</span> 0);</div>
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<div class="line"><a id="l00159" name="l00159"></a><span class="lineno"> 159</span> <span class="keywordflow">return</span>;</div>
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<div class="line"><a id="l00160" name="l00160"></a><span class="lineno"> 160</span> <span class="keywordflow">case</span> 3:</div>
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<div class="line"><a id="l00161" name="l00161"></a><span class="lineno"> 161</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a7ca09ebf776fe32db580f9038587ec31">binary_op_dims<T, U, Op, 3, Strided></a>(</div>
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<div class="line"><a id="l00162" name="l00162"></a><span class="lineno"> 162</span> a_ptr,</div>
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<div class="line"><a id="l00163" name="l00163"></a><span class="lineno"> 163</span> b_ptr,</div>
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<div class="line"><a id="l00164" name="l00164"></a><span class="lineno"> 164</span> out_ptr,</div>
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<div class="line"><a id="l00165" name="l00165"></a><span class="lineno"> 165</span> op,</div>
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<div class="line"><a id="l00166" name="l00166"></a><span class="lineno"> 166</span> shape,</div>
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<div class="line"><a id="l00167" name="l00167"></a><span class="lineno"> 167</span> a_strides,</div>
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<div class="line"><a id="l00168" name="l00168"></a><span class="lineno"> 168</span> b_strides,</div>
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<div class="line"><a id="l00169" name="l00169"></a><span class="lineno"> 169</span> out_strides,</div>
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<div class="line"><a id="l00170" name="l00170"></a><span class="lineno"> 170</span> 0);</div>
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<div class="line"><a id="l00171" name="l00171"></a><span class="lineno"> 171</span> <span class="keywordflow">return</span>;</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> </div>
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<div class="line"><a id="l00174" name="l00174"></a><span class="lineno"> 174</span> <a class="code hl_struct" href="structmlx_1_1core_1_1_contiguous_iterator.html">ContiguousIterator</a> a_it(shape, a_strides, dim - 3);</div>
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<div class="line"><a id="l00175" name="l00175"></a><span class="lineno"> 175</span> <a class="code hl_struct" href="structmlx_1_1core_1_1_contiguous_iterator.html">ContiguousIterator</a> b_it(shape, b_strides, dim - 3);</div>
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<div class="line"><a id="l00176" name="l00176"></a><span class="lineno"> 176</span> <span class="keyword">auto</span> stride = out_strides[dim - 4];</div>
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<div class="line"><a id="l00177" name="l00177"></a><span class="lineno"> 177</span> <span class="keywordflow">for</span> (int64_t elem = 0; elem < a.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a598f87161926d9e0b516860f0ea2c8f6">size</a>(); elem += stride) {</div>
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<div class="line"><a id="l00178" name="l00178"></a><span class="lineno"> 178</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a7ca09ebf776fe32db580f9038587ec31">binary_op_dims<T, U, Op, 3, Strided></a>(</div>
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<div class="line"><a id="l00179" name="l00179"></a><span class="lineno"> 179</span> a_ptr + a_it.<a class="code hl_variable" href="structmlx_1_1core_1_1_contiguous_iterator.html#a5ea4f0e40900e8c7e0830e1fb561af1a">loc</a>,</div>
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<div class="line"><a id="l00180" name="l00180"></a><span class="lineno"> 180</span> b_ptr + b_it.<a class="code hl_variable" href="structmlx_1_1core_1_1_contiguous_iterator.html#a5ea4f0e40900e8c7e0830e1fb561af1a">loc</a>,</div>
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<div class="line"><a id="l00181" name="l00181"></a><span class="lineno"> 181</span> out_ptr + elem,</div>
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<div class="line"><a id="l00182" name="l00182"></a><span class="lineno"> 182</span> op,</div>
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<div class="line"><a id="l00183" name="l00183"></a><span class="lineno"> 183</span> shape,</div>
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<div class="line"><a id="l00184" name="l00184"></a><span class="lineno"> 184</span> a_strides,</div>
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<div class="line"><a id="l00185" name="l00185"></a><span class="lineno"> 185</span> b_strides,</div>
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<div class="line"><a id="l00186" name="l00186"></a><span class="lineno"> 186</span> out_strides,</div>
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<div class="line"><a id="l00187" name="l00187"></a><span class="lineno"> 187</span> dim - 3);</div>
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<div class="line"><a id="l00188" name="l00188"></a><span class="lineno"> 188</span> a_it.<a class="code hl_function" href="structmlx_1_1core_1_1_contiguous_iterator.html#aad921dd422adb0a0f555e19a2f42239c">step</a>();</div>
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<div class="line"><a id="l00189" name="l00189"></a><span class="lineno"> 189</span> b_it.<a class="code hl_function" href="structmlx_1_1core_1_1_contiguous_iterator.html#aad921dd422adb0a0f555e19a2f42239c">step</a>();</div>
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<div class="line"><a id="l00190" name="l00190"></a><span class="lineno"> 190</span> }</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>
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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><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="foldopen00194" data-start="{" data-end="}">
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<div class="line"><a id="l00194" name="l00194"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d"> 194</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op</a>(<span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& a, <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& b, <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& out, Op op) {</div>
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<div class="line"><a id="l00195" name="l00195"></a><span class="lineno"> 195</span> <span class="keyword">auto</span> bopt = <a class="code hl_function" href="namespacemlx_1_1core.html#a24eef9908f164adeece3be7c6924919a">get_binary_op_type</a>(a, b);</div>
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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#a6a52856325c2eb031d3983eba2108d59">set_binary_op_output_data</a>(a, b, out, bopt);</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> <span class="comment">// The full computation is scalar scalar so call the base op once</span></div>
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<div class="line"><a id="l00199" name="l00199"></a><span class="lineno"> 199</span> <span class="keywordflow">if</span> (bopt == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a7b15cb76e0535ea81a5b6af9c96dcde4">BinaryOpType::ScalarScalar</a>) {</div>
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<div class="line"><a id="l00200" name="l00200"></a><span class="lineno"> 200</span> *(out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><U>()) = op(*a.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T>(), *b.<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="l00201" name="l00201"></a><span class="lineno"> 201</span> <span class="keywordflow">return</span>;</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> </div>
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<div class="line"><a id="l00204" name="l00204"></a><span class="lineno"> 204</span> <span class="comment">// The full computation is scalar vector so delegate to the op</span></div>
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<div class="line"><a id="l00205" name="l00205"></a><span class="lineno"> 205</span> <span class="keywordflow">if</span> (bopt == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6aabac63719294588466e3c2f00cccb0a6">BinaryOpType::ScalarVector</a>) {</div>
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<div class="line"><a id="l00206" name="l00206"></a><span class="lineno"> 206</span> <a class="code hl_struct" href="structmlx_1_1core_1_1_scalar_vector.html">ScalarVector</a>{op}(a.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T>(), b.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T>(), out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><U>(), b.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#afaf2a370fa35d96af1b27a4b814e3bfd">data_size</a>());</div>
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<div class="line"><a id="l00207" name="l00207"></a><span class="lineno"> 207</span> <span class="keywordflow">return</span>;</div>
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<div class="line"><a id="l00208" name="l00208"></a><span class="lineno"> 208</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> <span class="comment">// The full computation is vector scalar so delegate to the op</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> (bopt == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a8a94416459b638cebf3bfbce26a6ce78">BinaryOpType::VectorScalar</a>) {</div>
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<div class="line"><a id="l00212" name="l00212"></a><span class="lineno"> 212</span> <a class="code hl_struct" href="structmlx_1_1core_1_1_vector_scalar.html">VectorScalar</a>{op}(a.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T>(), b.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T>(), out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><U>(), a.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#afaf2a370fa35d96af1b27a4b814e3bfd">data_size</a>());</div>
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<div class="line"><a id="l00213" name="l00213"></a><span class="lineno"> 213</span> <span class="keywordflow">return</span>;</div>
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<div class="line"><a id="l00214" name="l00214"></a><span class="lineno"> 214</span> }</div>
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<div class="line"><a id="l00215" name="l00215"></a><span class="lineno"> 215</span> </div>
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<div class="line"><a id="l00216" name="l00216"></a><span class="lineno"> 216</span> <span class="comment">// The full computation is vector vector so delegate to the op</span></div>
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<div class="line"><a id="l00217" name="l00217"></a><span class="lineno"> 217</span> <span class="keywordflow">if</span> (bopt == <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a4d8269410dcd9cadc9722e9a118bddfb">BinaryOpType::VectorVector</a>) {</div>
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<div class="line"><a id="l00218" name="l00218"></a><span class="lineno"> 218</span> <a class="code hl_struct" href="structmlx_1_1core_1_1_vector_vector.html">VectorVector</a>{op}(a.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T>(), b.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><T>(), out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">data</a><U>(), out.<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="l00219" name="l00219"></a><span class="lineno"> 219</span> <span class="keywordflow">return</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> </div>
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<div class="line"><a id="l00222" name="l00222"></a><span class="lineno"> 222</span> <span class="comment">// General computation so let's try to optimize</span></div>
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<div class="line"><a id="l00223" name="l00223"></a><span class="lineno"> 223</span> <span class="keyword">auto</span> [new_shape, new_strides] = <a class="code hl_function" href="namespacemlx_1_1core.html#a4d594bb84abeff4619d1abb77b20123e">collapse_contiguous_dims</a>(</div>
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<div class="line"><a id="l00224" name="l00224"></a><span class="lineno"> 224</span> a.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#a1d06c76b0f3010a5c329d0e9e29e0597">shape</a>(), {a.strides(), b.strides(), out.strides()});</div>
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<div class="line"><a id="l00225" name="l00225"></a><span class="lineno"> 225</span> <span class="keyword">const</span> <span class="keyword">auto</span>& a_strides = new_strides[0];</div>
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<div class="line"><a id="l00226" name="l00226"></a><span class="lineno"> 226</span> <span class="keyword">const</span> <span class="keyword">auto</span>& b_strides = new_strides[1];</div>
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<div class="line"><a id="l00227" name="l00227"></a><span class="lineno"> 227</span> <span class="keyword">const</span> <span class="keyword">auto</span>& strides = new_strides[2];</div>
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<div class="line"><a id="l00228" name="l00228"></a><span class="lineno"> 228</span> </div>
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<div class="line"><a id="l00229" name="l00229"></a><span class="lineno"> 229</span> <span class="comment">// Get the left-most dim such that the array is row contiguous after</span></div>
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<div class="line"><a id="l00230" name="l00230"></a><span class="lineno"> 230</span> <span class="keyword">auto</span> leftmost_rc_dim = [&strides](<span class="keyword">const</span> <span class="keyword">auto</span>& arr_strides) {</div>
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<div class="line"><a id="l00231" name="l00231"></a><span class="lineno"> 231</span> <span class="keywordtype">int</span> d = arr_strides.size() - 1;</div>
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<div class="line"><a id="l00232" name="l00232"></a><span class="lineno"> 232</span> <span class="keywordflow">for</span> (; d >= 0 && arr_strides[d] == strides[d]; d--) {</div>
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<div class="line"><a id="l00233" name="l00233"></a><span class="lineno"> 233</span> }</div>
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<div class="line"><a id="l00234" name="l00234"></a><span class="lineno"> 234</span> <span class="keywordflow">return</span> d + 1;</div>
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<div class="line"><a id="l00235" name="l00235"></a><span class="lineno"> 235</span> };</div>
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<div class="line"><a id="l00236" name="l00236"></a><span class="lineno"> 236</span> <span class="keyword">auto</span> a_rc_dim = leftmost_rc_dim(a_strides);</div>
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<div class="line"><a id="l00237" name="l00237"></a><span class="lineno"> 237</span> <span class="keyword">auto</span> b_rc_dim = leftmost_rc_dim(b_strides);</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">// Get the left-most dim such that the array is a broadcasted "scalar" after</span></div>
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<div class="line"><a id="l00240" name="l00240"></a><span class="lineno"> 240</span> <span class="keyword">auto</span> leftmost_s_dim = [](<span class="keyword">const</span> <span class="keyword">auto</span>& arr_strides) {</div>
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<div class="line"><a id="l00241" name="l00241"></a><span class="lineno"> 241</span> <span class="keywordtype">int</span> d = arr_strides.size() - 1;</div>
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<div class="line"><a id="l00242" name="l00242"></a><span class="lineno"> 242</span> <span class="keywordflow">for</span> (; d >= 0 && arr_strides[d] == 0; d--) {</div>
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<div class="line"><a id="l00243" name="l00243"></a><span class="lineno"> 243</span> }</div>
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<div class="line"><a id="l00244" name="l00244"></a><span class="lineno"> 244</span> <span class="keywordflow">return</span> d + 1;</div>
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<div class="line"><a id="l00245" name="l00245"></a><span class="lineno"> 245</span> };</div>
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<div class="line"><a id="l00246" name="l00246"></a><span class="lineno"> 246</span> <span class="keyword">auto</span> a_s_dim = leftmost_s_dim(a_strides);</div>
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<div class="line"><a id="l00247" name="l00247"></a><span class="lineno"> 247</span> <span class="keyword">auto</span> b_s_dim = leftmost_s_dim(b_strides);</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> <span class="keyword">auto</span> ndim = new_shape.size();</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> <span class="comment">// Case 1: LxM and FxM where L and F are broadcastable and M is row contiguous</span></div>
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<div class="line"><a id="l00252" name="l00252"></a><span class="lineno"> 252</span> <span class="keywordtype">int</span> dim = ndim;</div>
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<div class="line"><a id="l00253" name="l00253"></a><span class="lineno"> 253</span> <span class="keywordflow">if</span> (<span class="keywordtype">int</span> d = std::max(a_rc_dim, b_rc_dim); d < ndim) {</div>
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<div class="line"><a id="l00254" name="l00254"></a><span class="lineno"> 254</span> bopt = <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a4d8269410dcd9cadc9722e9a118bddfb">BinaryOpType::VectorVector</a>;</div>
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<div class="line"><a id="l00255" name="l00255"></a><span class="lineno"> 255</span> dim = d;</div>
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<div class="line"><a id="l00256" name="l00256"></a><span class="lineno"> 256</span> <span class="comment">// Case 2: LxM and Fx1 where L and F are broadcastable and M is row</span></div>
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<div class="line"><a id="l00257" name="l00257"></a><span class="lineno"> 257</span> <span class="comment">// contiguous</span></div>
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<div class="line"><a id="l00258" name="l00258"></a><span class="lineno"> 258</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<span class="keywordtype">int</span> d = std::max(a_rc_dim, b_s_dim); d < ndim) {</div>
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<div class="line"><a id="l00259" name="l00259"></a><span class="lineno"> 259</span> bopt = <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a8a94416459b638cebf3bfbce26a6ce78">BinaryOpType::VectorScalar</a>;</div>
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<div class="line"><a id="l00260" name="l00260"></a><span class="lineno"> 260</span> dim = d;</div>
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<div class="line"><a id="l00261" name="l00261"></a><span class="lineno"> 261</span> <span class="comment">// Case 3: Lx1 and FxM where L and F are broadcastable and M is row</span></div>
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<div class="line"><a id="l00262" name="l00262"></a><span class="lineno"> 262</span> <span class="comment">// contiguous</span></div>
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<div class="line"><a id="l00263" name="l00263"></a><span class="lineno"> 263</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<span class="keywordtype">int</span> d = std::max(a_s_dim, b_rc_dim); d < ndim) {</div>
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<div class="line"><a id="l00264" name="l00264"></a><span class="lineno"> 264</span> bopt = <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6aabac63719294588466e3c2f00cccb0a6">BinaryOpType::ScalarVector</a>;</div>
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<div class="line"><a id="l00265" name="l00265"></a><span class="lineno"> 265</span> dim = d;</div>
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<div class="line"><a id="l00266" name="l00266"></a><span class="lineno"> 266</span> }</div>
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<div class="line"><a id="l00267" name="l00267"></a><span class="lineno"> 267</span> </div>
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<div class="line"><a id="l00268" name="l00268"></a><span class="lineno"> 268</span> <span class="comment">// Can be sure dim > 0 since otherwise we would have used one of the fully</span></div>
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<div class="line"><a id="l00269" name="l00269"></a><span class="lineno"> 269</span> <span class="comment">// contiguous methods above. Except for the case that the flags do not</span></div>
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<div class="line"><a id="l00270" name="l00270"></a><span class="lineno"> 270</span> <span class="comment">// correspond to the underlying contiguity.</span></div>
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<div class="line"><a id="l00271" name="l00271"></a><span class="lineno"> 271</span> <span class="keywordflow">if</span> (dim == 0 || strides[dim - 1] < 16) {</div>
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<div class="line"><a id="l00272" name="l00272"></a><span class="lineno"> 272</span> bopt = <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a0db377921f4ce762c62526131097968f">BinaryOpType::General</a>;</div>
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<div class="line"><a id="l00273" name="l00273"></a><span class="lineno"> 273</span> dim = ndim;</div>
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<div class="line"><a id="l00274" name="l00274"></a><span class="lineno"> 274</span> }</div>
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<div class="line"><a id="l00275" name="l00275"></a><span class="lineno"> 275</span> </div>
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<div class="line"><a id="l00276" name="l00276"></a><span class="lineno"> 276</span> <span class="keywordflow">switch</span> (bopt) {</div>
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<div class="line"><a id="l00277" name="l00277"></a><span class="lineno"> 277</span> <span class="keywordflow">case</span> <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a4d8269410dcd9cadc9722e9a118bddfb">BinaryOpType::VectorVector</a>:</div>
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<div class="line"><a id="l00278" name="l00278"></a><span class="lineno"> 278</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a66c9ee5018168b9101de52e0122d9755">binary_op_dispatch_dims<T, U, true></a>(</div>
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<div class="line"><a id="l00279" name="l00279"></a><span class="lineno"> 279</span> a,</div>
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<div class="line"><a id="l00280" name="l00280"></a><span class="lineno"> 280</span> b,</div>
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<div class="line"><a id="l00281" name="l00281"></a><span class="lineno"> 281</span> out,</div>
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<div class="line"><a id="l00282" name="l00282"></a><span class="lineno"> 282</span> <a class="code hl_struct" href="structmlx_1_1core_1_1_vector_vector.html">VectorVector</a>{op},</div>
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<div class="line"><a id="l00283" name="l00283"></a><span class="lineno"> 283</span> dim,</div>
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<div class="line"><a id="l00284" name="l00284"></a><span class="lineno"> 284</span> new_shape,</div>
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<div class="line"><a id="l00285" name="l00285"></a><span class="lineno"> 285</span> a_strides,</div>
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<div class="line"><a id="l00286" name="l00286"></a><span class="lineno"> 286</span> b_strides,</div>
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<div class="line"><a id="l00287" name="l00287"></a><span class="lineno"> 287</span> strides);</div>
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<div class="line"><a id="l00288" name="l00288"></a><span class="lineno"> 288</span> <span class="keywordflow">break</span>;</div>
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<div class="line"><a id="l00289" name="l00289"></a><span class="lineno"> 289</span> <span class="keywordflow">case</span> <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a8a94416459b638cebf3bfbce26a6ce78">BinaryOpType::VectorScalar</a>:</div>
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<div class="line"><a id="l00290" name="l00290"></a><span class="lineno"> 290</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a66c9ee5018168b9101de52e0122d9755">binary_op_dispatch_dims<T, U, true></a>(</div>
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<div class="line"><a id="l00291" name="l00291"></a><span class="lineno"> 291</span> a,</div>
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<div class="line"><a id="l00292" name="l00292"></a><span class="lineno"> 292</span> b,</div>
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<div class="line"><a id="l00293" name="l00293"></a><span class="lineno"> 293</span> out,</div>
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<div class="line"><a id="l00294" name="l00294"></a><span class="lineno"> 294</span> <a class="code hl_struct" href="structmlx_1_1core_1_1_vector_scalar.html">VectorScalar</a>{op},</div>
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<div class="line"><a id="l00295" name="l00295"></a><span class="lineno"> 295</span> dim,</div>
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<div class="line"><a id="l00296" name="l00296"></a><span class="lineno"> 296</span> new_shape,</div>
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<div class="line"><a id="l00297" name="l00297"></a><span class="lineno"> 297</span> a_strides,</div>
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<div class="line"><a id="l00298" name="l00298"></a><span class="lineno"> 298</span> b_strides,</div>
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<div class="line"><a id="l00299" name="l00299"></a><span class="lineno"> 299</span> strides);</div>
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<div class="line"><a id="l00300" name="l00300"></a><span class="lineno"> 300</span> <span class="keywordflow">break</span>;</div>
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<div class="line"><a id="l00301" name="l00301"></a><span class="lineno"> 301</span> <span class="keywordflow">case</span> <a class="code hl_enumvalue" href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6aabac63719294588466e3c2f00cccb0a6">BinaryOpType::ScalarVector</a>:</div>
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<div class="line"><a id="l00302" name="l00302"></a><span class="lineno"> 302</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a66c9ee5018168b9101de52e0122d9755">binary_op_dispatch_dims<T, U, true></a>(</div>
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<div class="line"><a id="l00303" name="l00303"></a><span class="lineno"> 303</span> a,</div>
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<div class="line"><a id="l00304" name="l00304"></a><span class="lineno"> 304</span> b,</div>
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<div class="line"><a id="l00305" name="l00305"></a><span class="lineno"> 305</span> out,</div>
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<div class="line"><a id="l00306" name="l00306"></a><span class="lineno"> 306</span> <a class="code hl_struct" href="structmlx_1_1core_1_1_scalar_vector.html">ScalarVector</a>{op},</div>
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<div class="line"><a id="l00307" name="l00307"></a><span class="lineno"> 307</span> dim,</div>
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<div class="line"><a id="l00308" name="l00308"></a><span class="lineno"> 308</span> new_shape,</div>
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<div class="line"><a id="l00309" name="l00309"></a><span class="lineno"> 309</span> a_strides,</div>
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<div class="line"><a id="l00310" name="l00310"></a><span class="lineno"> 310</span> b_strides,</div>
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<div class="line"><a id="l00311" name="l00311"></a><span class="lineno"> 311</span> strides);</div>
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<div class="line"><a id="l00312" name="l00312"></a><span class="lineno"> 312</span> <span class="keywordflow">break</span>;</div>
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<div class="line"><a id="l00313" name="l00313"></a><span class="lineno"> 313</span> <span class="keywordflow">default</span>:</div>
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<div class="line"><a id="l00314" name="l00314"></a><span class="lineno"> 314</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a66c9ee5018168b9101de52e0122d9755">binary_op_dispatch_dims<T, U, false></a>(</div>
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<div class="line"><a id="l00315" name="l00315"></a><span class="lineno"> 315</span> a, b, out, op, dim, new_shape, a_strides, b_strides, strides);</div>
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<div class="line"><a id="l00316" name="l00316"></a><span class="lineno"> 316</span> <span class="keywordflow">break</span>;</div>
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<div class="line"><a id="l00317" name="l00317"></a><span class="lineno"> 317</span> }</div>
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<div class="line"><a id="l00318" name="l00318"></a><span class="lineno"> 318</span>}</div>
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</div>
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<div class="line"><a id="l00319" name="l00319"></a><span class="lineno"> 319</span> </div>
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<div class="line"><a id="l00320" name="l00320"></a><span class="lineno"> 320</span><span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> Op></div>
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<div class="foldopen" id="foldopen00321" data-start="{" data-end="}">
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<div class="line"><a id="l00321" name="l00321"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#a2aca3458c56605a74d07ec39876549bc"> 321</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op</a>(<span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& a, <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& b, <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& out, Op op) {</div>
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<div class="line"><a id="l00322" name="l00322"></a><span class="lineno"> 322</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op<T, T></a>(a, b, out, op);</div>
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<div class="line"><a id="l00323" name="l00323"></a><span class="lineno"> 323</span>}</div>
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</div>
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<div class="line"><a id="l00324" name="l00324"></a><span class="lineno"> 324</span> </div>
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<div class="line"><a id="l00325" name="l00325"></a><span class="lineno"> 325</span><span class="keyword">template</span> <<span class="keyword">typename</span> Op></div>
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<div class="foldopen" id="foldopen00326" data-start="{" data-end="}">
|
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<div class="line"><a id="l00326" name="l00326"></a><span class="lineno"><a class="line" href="namespacemlx_1_1core.html#ae374861abd45cf019c3e6be2026f3798"> 326</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="namespacemlx_1_1core.html#ae374861abd45cf019c3e6be2026f3798">binary</a>(<span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& a, <span class="keyword">const</span> <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& b, <a class="code hl_class" href="classmlx_1_1core_1_1array.html">array</a>& out, Op op) {</div>
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<div class="line"><a id="l00327" name="l00327"></a><span class="lineno"> 327</span> <span class="keywordflow">switch</span> (out.<a class="code hl_function" href="classmlx_1_1core_1_1array.html#ae29e7d6fbfbea1e5e321a8d1ea3cfacd">dtype</a>()) {</div>
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<div class="line"><a id="l00328" name="l00328"></a><span class="lineno"> 328</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a113d2bac7e4aa6a4cb4a5c3242527b82">bool_</a>:</div>
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<div class="line"><a id="l00329" name="l00329"></a><span class="lineno"> 329</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op<bool></a>(a, b, out, op);</div>
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<div class="line"><a id="l00330" name="l00330"></a><span class="lineno"> 330</span> <span class="keywordflow">break</span>;</div>
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<div class="line"><a id="l00331" name="l00331"></a><span class="lineno"> 331</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a9778d50afbf456b0bd738751243b3b68">uint8</a>:</div>
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<div class="line"><a id="l00332" name="l00332"></a><span class="lineno"> 332</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op<uint8_t></a>(a, b, out, op);</div>
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<div class="line"><a id="l00333" name="l00333"></a><span class="lineno"> 333</span> <span class="keywordflow">break</span>;</div>
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<div class="line"><a id="l00334" name="l00334"></a><span class="lineno"> 334</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a312a70c487366968af5e6cbf5038c812">uint16</a>:</div>
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|
<div class="line"><a id="l00335" name="l00335"></a><span class="lineno"> 335</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op<uint16_t></a>(a, b, out, op);</div>
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<div class="line"><a id="l00336" name="l00336"></a><span class="lineno"> 336</span> <span class="keywordflow">break</span>;</div>
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<div class="line"><a id="l00337" name="l00337"></a><span class="lineno"> 337</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#ac63820d6fe10545907c33faf466a929e">uint32</a>:</div>
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|
<div class="line"><a id="l00338" name="l00338"></a><span class="lineno"> 338</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op<uint32_t></a>(a, b, out, op);</div>
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|
<div class="line"><a id="l00339" name="l00339"></a><span class="lineno"> 339</span> <span class="keywordflow">break</span>;</div>
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<div class="line"><a id="l00340" name="l00340"></a><span class="lineno"> 340</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a1f42e3dd4787d2ecec7114a12daefec8">uint64</a>:</div>
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<div class="line"><a id="l00341" name="l00341"></a><span class="lineno"> 341</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op<uint64_t></a>(a, b, out, op);</div>
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|
<div class="line"><a id="l00342" name="l00342"></a><span class="lineno"> 342</span> <span class="keywordflow">break</span>;</div>
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|
<div class="line"><a id="l00343" name="l00343"></a><span class="lineno"> 343</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a892e934e146dd938d144cee8813ca672">int8</a>:</div>
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|
<div class="line"><a id="l00344" name="l00344"></a><span class="lineno"> 344</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op<int8_t></a>(a, b, out, op);</div>
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|
<div class="line"><a id="l00345" name="l00345"></a><span class="lineno"> 345</span> <span class="keywordflow">break</span>;</div>
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|
<div class="line"><a id="l00346" name="l00346"></a><span class="lineno"> 346</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a71ebba4ad1afa730962f0692c4f42f07">int16</a>:</div>
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|
<div class="line"><a id="l00347" name="l00347"></a><span class="lineno"> 347</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op<int16_t></a>(a, b, out, op);</div>
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|
<div class="line"><a id="l00348" name="l00348"></a><span class="lineno"> 348</span> <span class="keywordflow">break</span>;</div>
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|
<div class="line"><a id="l00349" name="l00349"></a><span class="lineno"> 349</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a5d6373aad1444edc9de1eb07bfe5cad3">int32</a>:</div>
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|
<div class="line"><a id="l00350" name="l00350"></a><span class="lineno"> 350</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op<int32_t></a>(a, b, out, op);</div>
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|
<div class="line"><a id="l00351" name="l00351"></a><span class="lineno"> 351</span> <span class="keywordflow">break</span>;</div>
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|
<div class="line"><a id="l00352" name="l00352"></a><span class="lineno"> 352</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a9019bdc191054ada0a502c7c34cef5b8">int64</a>:</div>
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|
<div class="line"><a id="l00353" name="l00353"></a><span class="lineno"> 353</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op<int64_t></a>(a, b, out, op);</div>
|
|
<div class="line"><a id="l00354" name="l00354"></a><span class="lineno"> 354</span> <span class="keywordflow">break</span>;</div>
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|
<div class="line"><a id="l00355" name="l00355"></a><span class="lineno"> 355</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#abf228ee9d8ec48c03bb15adcc4e1f3ec">float16</a>:</div>
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|
<div class="line"><a id="l00356" name="l00356"></a><span class="lineno"> 356</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op<float16_t></a>(a, b, out, op);</div>
|
|
<div class="line"><a id="l00357" name="l00357"></a><span class="lineno"> 357</span> <span class="keywordflow">break</span>;</div>
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|
<div class="line"><a id="l00358" name="l00358"></a><span class="lineno"> 358</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a6894543b340321193dfb8052c438a319">float32</a>:</div>
|
|
<div class="line"><a id="l00359" name="l00359"></a><span class="lineno"> 359</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op<float></a>(a, b, out, op);</div>
|
|
<div class="line"><a id="l00360" name="l00360"></a><span class="lineno"> 360</span> <span class="keywordflow">break</span>;</div>
|
|
<div class="line"><a id="l00361" name="l00361"></a><span class="lineno"> 361</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a474bf5eb8bca8c380207c9f659aef3b1">float64</a>:</div>
|
|
<div class="line"><a id="l00362" name="l00362"></a><span class="lineno"> 362</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op<double></a>(a, b, out, op);</div>
|
|
<div class="line"><a id="l00363" name="l00363"></a><span class="lineno"> 363</span> <span class="keywordflow">break</span>;</div>
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|
<div class="line"><a id="l00364" name="l00364"></a><span class="lineno"> 364</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#a514cf8b4e6f0a6af3a867e752f4338f7">bfloat16</a>:</div>
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|
<div class="line"><a id="l00365" name="l00365"></a><span class="lineno"> 365</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op<bfloat16_t></a>(a, b, out, op);</div>
|
|
<div class="line"><a id="l00366" name="l00366"></a><span class="lineno"> 366</span> <span class="keywordflow">break</span>;</div>
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|
<div class="line"><a id="l00367" name="l00367"></a><span class="lineno"> 367</span> <span class="keywordflow">case</span> <a class="code hl_variable" href="namespacemlx_1_1core.html#af99db87e0078bfcdb383f5689bc874d4">complex64</a>:</div>
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<div class="line"><a id="l00368" name="l00368"></a><span class="lineno"> 368</span> <a class="code hl_function" href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">binary_op<complex64_t></a>(a, b, out, op);</div>
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|
<div class="line"><a id="l00369" name="l00369"></a><span class="lineno"> 369</span> <span class="keywordflow">break</span>;</div>
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<div class="line"><a id="l00370" name="l00370"></a><span class="lineno"> 370</span> }</div>
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<div class="line"><a id="l00371" name="l00371"></a><span class="lineno"> 371</span>}</div>
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</div>
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<div class="line"><a id="l00372" name="l00372"></a><span class="lineno"> 372</span> </div>
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<div class="line"><a id="l00373" name="l00373"></a><span class="lineno"> 373</span>} <span class="comment">// namespace mlx::core</span></div>
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<div class="ttc" id="aallocator_8h_html"><div class="ttname"><a href="allocator_8h.html">allocator.h</a></div></div>
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<div class="ttc" id="aarray_8h_html"><div class="ttname"><a href="array_8h.html">array.h</a></div></div>
|
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<div class="ttc" id="abackend_2common_2utils_8h_html"><div class="ttname"><a href="backend_2common_2utils_8h.html">utils.h</a></div></div>
|
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<div class="ttc" id="aclassmlx_1_1core_1_1array_html"><div class="ttname"><a href="classmlx_1_1core_1_1array.html">mlx::core::array</a></div><div class="ttdef"><b>Definition</b> array.h:24</div></div>
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<div class="ttc" id="aclassmlx_1_1core_1_1array_html_a1d06c76b0f3010a5c329d0e9e29e0597"><div class="ttname"><a href="classmlx_1_1core_1_1array.html#a1d06c76b0f3010a5c329d0e9e29e0597">mlx::core::array::shape</a></div><div class="ttdeci">const Shape & shape() const</div><div class="ttdoc">The shape of the array as a vector of integers.</div><div class="ttdef"><b>Definition</b> array.h:103</div></div>
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<div class="ttc" id="aclassmlx_1_1core_1_1array_html_a598f87161926d9e0b516860f0ea2c8f6"><div class="ttname"><a href="classmlx_1_1core_1_1array.html#a598f87161926d9e0b516860f0ea2c8f6">mlx::core::array::size</a></div><div class="ttdeci">size_t size() const</div><div class="ttdoc">The number of elements in the array.</div><div class="ttdef"><b>Definition</b> array.h:88</div></div>
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<div class="ttc" id="aclassmlx_1_1core_1_1array_html_a72e3ce6c03fefe272cadf214bd127b95"><div class="ttname"><a href="classmlx_1_1core_1_1array.html#a72e3ce6c03fefe272cadf214bd127b95">mlx::core::array::data</a></div><div class="ttdeci">T * data()</div><div class="ttdef"><b>Definition</b> array.h:354</div></div>
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<div class="ttc" id="aclassmlx_1_1core_1_1array_html_ae29e7d6fbfbea1e5e321a8d1ea3cfacd"><div class="ttname"><a href="classmlx_1_1core_1_1array.html#ae29e7d6fbfbea1e5e321a8d1ea3cfacd">mlx::core::array::dtype</a></div><div class="ttdeci">Dtype dtype() const</div><div class="ttdoc">Get the arrays data type.</div><div class="ttdef"><b>Definition</b> array.h:131</div></div>
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<div class="ttc" id="aclassmlx_1_1core_1_1array_html_afaf2a370fa35d96af1b27a4b814e3bfd"><div class="ttname"><a href="classmlx_1_1core_1_1array.html#afaf2a370fa35d96af1b27a4b814e3bfd">mlx::core::array::data_size</a></div><div class="ttdeci">size_t data_size() const</div><div class="ttdoc">The size (in elements) of the underlying buffer the array points to.</div><div class="ttdef"><b>Definition</b> array.h:332</div></div>
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<div class="ttc" id="acommon_2binary_8h_html"><div class="ttname"><a href="common_2binary_8h.html">binary.h</a></div></div>
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<div class="ttc" id="anamespacemlx_1_1core_1_1simd_html_a4041676517d96870293e5448c7e2b5a4"><div class="ttname"><a href="namespacemlx_1_1core_1_1simd.html#a4041676517d96870293e5448c7e2b5a4">mlx::core::simd::load</a></div><div class="ttdeci">Simd< T, N > load(const T *x)</div><div class="ttdef"><b>Definition</b> base_simd.h:28</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_1_1simd_html_ac91bd36c7caafd3c7ff176e7e2f81887"><div class="ttname"><a href="namespacemlx_1_1core_1_1simd.html#ac91bd36c7caafd3c7ff176e7e2f81887">mlx::core::simd::max_size</a></div><div class="ttdeci">static constexpr int max_size</div><div class="ttdef"><b>Definition</b> base_simd.h:14</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_1_1simd_html_afa2236afddfdec312eb7e27b89a5316a"><div class="ttname"><a href="namespacemlx_1_1core_1_1simd.html#afa2236afddfdec312eb7e27b89a5316a">mlx::core::simd::store</a></div><div class="ttdeci">void store(T *dst, Simd< T, N > x)</div><div class="ttdef"><b>Definition</b> base_simd.h:33</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_a113d2bac7e4aa6a4cb4a5c3242527b82"><div class="ttname"><a href="namespacemlx_1_1core.html#a113d2bac7e4aa6a4cb4a5c3242527b82">mlx::core::bool_</a></div><div class="ttdeci">constexpr Dtype bool_</div><div class="ttdef"><b>Definition</b> dtype.h:68</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a1f42e3dd4787d2ecec7114a12daefec8"><div class="ttname"><a href="namespacemlx_1_1core.html#a1f42e3dd4787d2ecec7114a12daefec8">mlx::core::uint64</a></div><div class="ttdeci">constexpr Dtype uint64</div><div class="ttdef"><b>Definition</b> dtype.h:73</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a24eef9908f164adeece3be7c6924919a"><div class="ttname"><a href="namespacemlx_1_1core.html#a24eef9908f164adeece3be7c6924919a">mlx::core::get_binary_op_type</a></div><div class="ttdeci">BinaryOpType get_binary_op_type(const array &a, const array &b)</div><div class="ttdef"><b>Definition</b> binary.h:19</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a312a70c487366968af5e6cbf5038c812"><div class="ttname"><a href="namespacemlx_1_1core.html#a312a70c487366968af5e6cbf5038c812">mlx::core::uint16</a></div><div class="ttdeci">constexpr Dtype uint16</div><div class="ttdef"><b>Definition</b> dtype.h:71</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a474bf5eb8bca8c380207c9f659aef3b1"><div class="ttname"><a href="namespacemlx_1_1core.html#a474bf5eb8bca8c380207c9f659aef3b1">mlx::core::float64</a></div><div class="ttdeci">constexpr Dtype float64</div><div class="ttdef"><b>Definition</b> dtype.h:82</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a4d594bb84abeff4619d1abb77b20123e"><div class="ttname"><a href="namespacemlx_1_1core.html#a4d594bb84abeff4619d1abb77b20123e">mlx::core::collapse_contiguous_dims</a></div><div class="ttdeci">std::tuple< Shape, std::vector< Strides > > collapse_contiguous_dims(const Shape &shape, const std::vector< Strides > &strides, int64_t size_cap=std::numeric_limits< int32_t >::max())</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a514cf8b4e6f0a6af3a867e752f4338f7"><div class="ttname"><a href="namespacemlx_1_1core.html#a514cf8b4e6f0a6af3a867e752f4338f7">mlx::core::bfloat16</a></div><div class="ttdeci">constexpr Dtype bfloat16</div><div class="ttdef"><b>Definition</b> dtype.h:83</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a546e3d3c8957fbf2758f9504f4a2d0b6a0db377921f4ce762c62526131097968f"><div class="ttname"><a href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a0db377921f4ce762c62526131097968f">mlx::core::BinaryOpType::General</a></div><div class="ttdeci">@ General</div><div class="ttdef"><b>Definition</b> binary.h:16</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a546e3d3c8957fbf2758f9504f4a2d0b6a4d8269410dcd9cadc9722e9a118bddfb"><div class="ttname"><a href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a4d8269410dcd9cadc9722e9a118bddfb">mlx::core::BinaryOpType::VectorVector</a></div><div class="ttdeci">@ VectorVector</div><div class="ttdef"><b>Definition</b> binary.h:15</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a546e3d3c8957fbf2758f9504f4a2d0b6a7b15cb76e0535ea81a5b6af9c96dcde4"><div class="ttname"><a href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a7b15cb76e0535ea81a5b6af9c96dcde4">mlx::core::BinaryOpType::ScalarScalar</a></div><div class="ttdeci">@ ScalarScalar</div><div class="ttdef"><b>Definition</b> binary.h:12</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a546e3d3c8957fbf2758f9504f4a2d0b6a8a94416459b638cebf3bfbce26a6ce78"><div class="ttname"><a href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6a8a94416459b638cebf3bfbce26a6ce78">mlx::core::BinaryOpType::VectorScalar</a></div><div class="ttdeci">@ VectorScalar</div><div class="ttdef"><b>Definition</b> binary.h:14</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a546e3d3c8957fbf2758f9504f4a2d0b6aabac63719294588466e3c2f00cccb0a6"><div class="ttname"><a href="namespacemlx_1_1core.html#a546e3d3c8957fbf2758f9504f4a2d0b6aabac63719294588466e3c2f00cccb0a6">mlx::core::BinaryOpType::ScalarVector</a></div><div class="ttdeci">@ ScalarVector</div><div class="ttdef"><b>Definition</b> binary.h:13</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a5d6373aad1444edc9de1eb07bfe5cad3"><div class="ttname"><a href="namespacemlx_1_1core.html#a5d6373aad1444edc9de1eb07bfe5cad3">mlx::core::int32</a></div><div class="ttdeci">constexpr Dtype int32</div><div class="ttdef"><b>Definition</b> dtype.h:77</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a66c9ee5018168b9101de52e0122d9755"><div class="ttname"><a href="namespacemlx_1_1core.html#a66c9ee5018168b9101de52e0122d9755">mlx::core::binary_op_dispatch_dims</a></div><div class="ttdeci">void binary_op_dispatch_dims(const array &a, const array &b, array &out, Op op, int dim, const Shape &shape, const Strides &a_strides, const Strides &b_strides, const Strides &out_strides)</div><div class="ttdef"><b>Definition</b> binary.h:122</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a6894543b340321193dfb8052c438a319"><div class="ttname"><a href="namespacemlx_1_1core.html#a6894543b340321193dfb8052c438a319">mlx::core::float32</a></div><div class="ttdeci">constexpr Dtype float32</div><div class="ttdef"><b>Definition</b> dtype.h:81</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a694e23f2d59606643728ad443d621416"><div class="ttname"><a href="namespacemlx_1_1core.html#a694e23f2d59606643728ad443d621416">mlx::core::Shape</a></div><div class="ttdeci">std::vector< ShapeElem > Shape</div><div class="ttdef"><b>Definition</b> array.h:21</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a6a52856325c2eb031d3983eba2108d59"><div class="ttname"><a href="namespacemlx_1_1core.html#a6a52856325c2eb031d3983eba2108d59">mlx::core::set_binary_op_output_data</a></div><div class="ttdeci">void set_binary_op_output_data(const array &a, const array &b, array &out, BinaryOpType bopt, bool donate_with_move=false)</div><div class="ttdef"><b>Definition</b> binary.h:37</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a71ebba4ad1afa730962f0692c4f42f07"><div class="ttname"><a href="namespacemlx_1_1core.html#a71ebba4ad1afa730962f0692c4f42f07">mlx::core::int16</a></div><div class="ttdeci">constexpr Dtype int16</div><div class="ttdef"><b>Definition</b> dtype.h:76</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a79939016d0972ded7db37130da2a8b5c"><div class="ttname"><a href="namespacemlx_1_1core.html#a79939016d0972ded7db37130da2a8b5c">mlx::core::Strides</a></div><div class="ttdeci">std::vector< int64_t > Strides</div><div class="ttdef"><b>Definition</b> array.h:22</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a7ca09ebf776fe32db580f9038587ec31"><div class="ttname"><a href="namespacemlx_1_1core.html#a7ca09ebf776fe32db580f9038587ec31">mlx::core::binary_op_dims</a></div><div class="ttdeci">void binary_op_dims(const T *a, const T *b, U *out, Op op, const Shape &shape, const Strides &a_strides, const Strides &b_strides, const Strides &out_strides, int axis)</div><div class="ttdef"><b>Definition</b> binary.h:89</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a892e934e146dd938d144cee8813ca672"><div class="ttname"><a href="namespacemlx_1_1core.html#a892e934e146dd938d144cee8813ca672">mlx::core::int8</a></div><div class="ttdeci">constexpr Dtype int8</div><div class="ttdef"><b>Definition</b> dtype.h:75</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a9019bdc191054ada0a502c7c34cef5b8"><div class="ttname"><a href="namespacemlx_1_1core.html#a9019bdc191054ada0a502c7c34cef5b8">mlx::core::int64</a></div><div class="ttdeci">constexpr Dtype int64</div><div class="ttdef"><b>Definition</b> dtype.h:78</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a9778d50afbf456b0bd738751243b3b68"><div class="ttname"><a href="namespacemlx_1_1core.html#a9778d50afbf456b0bd738751243b3b68">mlx::core::uint8</a></div><div class="ttdeci">constexpr Dtype uint8</div><div class="ttdef"><b>Definition</b> dtype.h:70</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_a9c1c1fdf9a0840a16a4d10a8f74f761d"><div class="ttname"><a href="namespacemlx_1_1core.html#a9c1c1fdf9a0840a16a4d10a8f74f761d">mlx::core::binary_op</a></div><div class="ttdeci">void binary_op(const array &a, const array &b, array &out, Op op)</div><div class="ttdef"><b>Definition</b> binary.h:194</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_abf228ee9d8ec48c03bb15adcc4e1f3ec"><div class="ttname"><a href="namespacemlx_1_1core.html#abf228ee9d8ec48c03bb15adcc4e1f3ec">mlx::core::float16</a></div><div class="ttdeci">constexpr Dtype float16</div><div class="ttdef"><b>Definition</b> dtype.h:80</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_ac63820d6fe10545907c33faf466a929e"><div class="ttname"><a href="namespacemlx_1_1core.html#ac63820d6fe10545907c33faf466a929e">mlx::core::uint32</a></div><div class="ttdeci">constexpr Dtype uint32</div><div class="ttdef"><b>Definition</b> dtype.h:72</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_ae374861abd45cf019c3e6be2026f3798"><div class="ttname"><a href="namespacemlx_1_1core.html#ae374861abd45cf019c3e6be2026f3798">mlx::core::binary</a></div><div class="ttdeci">void binary(const array &a, const array &b, array &out, Op op)</div><div class="ttdef"><b>Definition</b> binary.h:326</div></div>
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<div class="ttc" id="anamespacemlx_1_1core_html_af99db87e0078bfcdb383f5689bc874d4"><div class="ttname"><a href="namespacemlx_1_1core.html#af99db87e0078bfcdb383f5689bc874d4">mlx::core::complex64</a></div><div class="ttdeci">constexpr Dtype complex64</div><div class="ttdef"><b>Definition</b> dtype.h:84</div></div>
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<div class="ttc" id="asimd_8h_html"><div class="ttname"><a href="simd_8h.html">simd.h</a></div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_contiguous_iterator_html"><div class="ttname"><a href="structmlx_1_1core_1_1_contiguous_iterator.html">mlx::core::ContiguousIterator</a></div><div class="ttdef"><b>Definition</b> utils.h:73</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_contiguous_iterator_html_a5ea4f0e40900e8c7e0830e1fb561af1a"><div class="ttname"><a href="structmlx_1_1core_1_1_contiguous_iterator.html#a5ea4f0e40900e8c7e0830e1fb561af1a">mlx::core::ContiguousIterator::loc</a></div><div class="ttdeci">int64_t loc</div><div class="ttdef"><b>Definition</b> utils.h:126</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_contiguous_iterator_html_aad921dd422adb0a0f555e19a2f42239c"><div class="ttname"><a href="structmlx_1_1core_1_1_contiguous_iterator.html#aad921dd422adb0a0f555e19a2f42239c">mlx::core::ContiguousIterator::step</a></div><div class="ttdeci">void step()</div><div class="ttdef"><b>Definition</b> utils.h:74</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_scalar_vector_html"><div class="ttname"><a href="structmlx_1_1core_1_1_scalar_vector.html">mlx::core::ScalarVector</a></div><div class="ttdef"><b>Definition</b> binary.h:40</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_scalar_vector_html_a69d6a3ddd7586e8e19a42c5e6f5a287b"><div class="ttname"><a href="structmlx_1_1core_1_1_scalar_vector.html#a69d6a3ddd7586e8e19a42c5e6f5a287b">mlx::core::ScalarVector::ScalarVector</a></div><div class="ttdeci">ScalarVector(Op op_)</div><div class="ttdef"><b>Definition</b> binary.h:43</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_scalar_vector_html_ab174fe55970fb4ee1c6a2b7628a24df1"><div class="ttname"><a href="structmlx_1_1core_1_1_scalar_vector.html#ab174fe55970fb4ee1c6a2b7628a24df1">mlx::core::ScalarVector::operator()</a></div><div class="ttdeci">void operator()(const T *a, const T *b, U *dst, int size)</div><div class="ttdef"><b>Definition</b> binary.h:46</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_scalar_vector_html_ac9c2214744bc972150740e169b603b9b"><div class="ttname"><a href="structmlx_1_1core_1_1_scalar_vector.html#ac9c2214744bc972150740e169b603b9b">mlx::core::ScalarVector::op</a></div><div class="ttdeci">Op op</div><div class="ttdef"><b>Definition</b> binary.h:41</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_vector_scalar_html"><div class="ttname"><a href="structmlx_1_1core_1_1_vector_scalar.html">mlx::core::VectorScalar</a></div><div class="ttdef"><b>Definition</b> binary.h:16</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_vector_scalar_html_a1af3ff644ce023a7e4f92a7c3634c44f"><div class="ttname"><a href="structmlx_1_1core_1_1_vector_scalar.html#a1af3ff644ce023a7e4f92a7c3634c44f">mlx::core::VectorScalar::operator()</a></div><div class="ttdeci">void operator()(const T *a, const T *b, U *dst, int size)</div><div class="ttdef"><b>Definition</b> binary.h:22</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_vector_scalar_html_a5fe1744adb58aaa845acca1e46725537"><div class="ttname"><a href="structmlx_1_1core_1_1_vector_scalar.html#a5fe1744adb58aaa845acca1e46725537">mlx::core::VectorScalar::op</a></div><div class="ttdeci">Op op</div><div class="ttdef"><b>Definition</b> binary.h:17</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_vector_scalar_html_a97088143e6d301d753dcdd1ccdd82287"><div class="ttname"><a href="structmlx_1_1core_1_1_vector_scalar.html#a97088143e6d301d753dcdd1ccdd82287">mlx::core::VectorScalar::VectorScalar</a></div><div class="ttdeci">VectorScalar(Op op_)</div><div class="ttdef"><b>Definition</b> binary.h:19</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_vector_vector_html"><div class="ttname"><a href="structmlx_1_1core_1_1_vector_vector.html">mlx::core::VectorVector</a></div><div class="ttdef"><b>Definition</b> binary.h:64</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_vector_vector_html_a4867666c95c597a113afb64f173cc022"><div class="ttname"><a href="structmlx_1_1core_1_1_vector_vector.html#a4867666c95c597a113afb64f173cc022">mlx::core::VectorVector::VectorVector</a></div><div class="ttdeci">VectorVector(Op op_)</div><div class="ttdef"><b>Definition</b> binary.h:67</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_vector_vector_html_a6d69d070c75cf0281e11e36e0717ab50"><div class="ttname"><a href="structmlx_1_1core_1_1_vector_vector.html#a6d69d070c75cf0281e11e36e0717ab50">mlx::core::VectorVector::op</a></div><div class="ttdeci">Op op</div><div class="ttdef"><b>Definition</b> binary.h:65</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1_vector_vector_html_a97a0bed419933d7685238a962f2e4215"><div class="ttname"><a href="structmlx_1_1core_1_1_vector_vector.html#a97a0bed419933d7685238a962f2e4215">mlx::core::VectorVector::operator()</a></div><div class="ttdeci">void operator()(const T *a, const T *b, U *dst, int size)</div><div class="ttdef"><b>Definition</b> binary.h:70</div></div>
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<div class="ttc" id="astructmlx_1_1core_1_1simd_1_1_simd_html"><div class="ttname"><a href="structmlx_1_1core_1_1simd_1_1_simd.html">mlx::core::simd::Simd</a></div><div class="ttdef"><b>Definition</b> accelerate_simd.h:55</div></div>
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