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<div class="headertitle"><div class="title">reduce_row.h</div></div>
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<a href="reduce__row_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 © 2023-2024 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="l00004" name="l00004"></a><span class="lineno"> 4</span><span class="comment">// Small row reductions</span></div>
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<div class="line"><a id="l00006" name="l00006"></a><span class="lineno"> 6</span> </div>
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<div class="line"><a id="l00007" name="l00007"></a><span class="lineno"> 7</span><span class="comment">// Each thread reduces for one output</span></div>
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<div class="line"><a id="l00008" name="l00008"></a><span class="lineno"> 8</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="foldopen00009" data-start="{" data-end="}">
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<div class="line"><a id="l00009" name="l00009"></a><span class="lineno"><a class="line" href="reduce__row_8h.html#aea2b1ba640fffb71c73550ec747b3148"> 9</a></span>[[kernel]] <span class="keywordtype">void</span> <a class="code hl_function" href="reduce__row_8h.html#aea2b1ba640fffb71c73550ec747b3148">row_reduce_general_small</a>(</div>
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<div class="line"><a id="l00010" name="l00010"></a><span class="lineno"> 10</span> <span class="keyword">const</span> device T* in [[buffer(0)]],</div>
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<div class="line"><a id="l00011" name="l00011"></a><span class="lineno"> 11</span> device U* out [[buffer(1)]],</div>
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<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>& reduction_size [[buffer(2)]],</div>
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<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>& out_size [[buffer(3)]],</div>
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<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"> 14</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>& non_row_reductions [[buffer(4)]],</div>
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<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">const</span> constant <span class="keywordtype">int</span>* shape [[buffer(5)]],</div>
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<div class="line"><a id="l00016" name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>* strides [[buffer(6)]],</div>
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<div class="line"><a id="l00017" name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">const</span> constant <span class="keywordtype">int</span>& ndim [[buffer(7)]],</div>
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<div class="line"><a id="l00018" name="l00018"></a><span class="lineno"> 18</span> uint lid [[thread_position_in_grid]]) {</div>
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<div class="line"><a id="l00019" name="l00019"></a><span class="lineno"> 19</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>;</div>
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<div class="line"><a id="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> uint out_idx = lid;</div>
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<div class="line"><a id="l00022" name="l00022"></a><span class="lineno"> 22</span> </div>
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<div class="line"><a id="l00023" name="l00023"></a><span class="lineno"> 23</span> <span class="keywordflow">if</span> (out_idx >= out_size) {</div>
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<div class="line"><a id="l00024" name="l00024"></a><span class="lineno"> 24</span> <span class="keywordflow">return</span>;</div>
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<div class="line"><a id="l00025" name="l00025"></a><span class="lineno"> 25</span> }</div>
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<div class="line"><a id="l00026" name="l00026"></a><span class="lineno"> 26</span> </div>
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<div class="line"><a id="l00027" name="l00027"></a><span class="lineno"> 27</span> U total_val = Op::init;</div>
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<div class="line"><a id="l00028" name="l00028"></a><span class="lineno"> 28</span> </div>
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<div class="line"><a id="l00029" name="l00029"></a><span class="lineno"> 29</span> <span class="keywordflow">for</span> (<span class="keywordtype">short</span> r = 0; r < short(non_row_reductions); r++) {</div>
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<div class="line"><a id="l00030" name="l00030"></a><span class="lineno"> 30</span> uint in_idx = <a class="code hl_function" href="backend_2metal_2kernels_2utils_8h.html#a2e49fa7ab8f6348543455c6c45d7e2a9">elem_to_loc</a>(out_idx + r * out_size, shape, strides, ndim);</div>
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<div class="line"><a id="l00031" name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">const</span> device T* in_row = in + in_idx;</div>
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<div class="line"><a id="l00032" name="l00032"></a><span class="lineno"> 32</span> </div>
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<div class="line"><a id="l00033" name="l00033"></a><span class="lineno"> 33</span> <span class="keywordflow">for</span> (<span class="keywordtype">short</span> i = 0; i < short(reduction_size); i++) {</div>
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<div class="line"><a id="l00034" name="l00034"></a><span class="lineno"> 34</span> total_val = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(<span class="keyword">static_cast<</span>U<span class="keyword">></span>(in_row[i]), total_val);</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 class="line"><a id="l00037" name="l00037"></a><span class="lineno"> 37</span> </div>
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<div class="line"><a id="l00038" name="l00038"></a><span class="lineno"> 38</span> out[out_idx] = total_val;</div>
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<div class="line"><a id="l00039" name="l00039"></a><span class="lineno"> 39</span>}</div>
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</div>
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<div class="line"><a id="l00040" name="l00040"></a><span class="lineno"> 40</span> </div>
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<div class="line"><a id="l00041" name="l00041"></a><span class="lineno"> 41</span><span class="comment">// Each simdgroup reduces for one output</span></div>
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<div class="line"><a id="l00042" name="l00042"></a><span class="lineno"> 42</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="foldopen00043" data-start="{" data-end="}">
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<div class="line"><a id="l00043" name="l00043"></a><span class="lineno"><a class="line" href="reduce__row_8h.html#ad77d444bcfa9e6afcc1ffc1dcb919f1c"> 43</a></span>[[kernel]] <span class="keywordtype">void</span> <a class="code hl_function" href="reduce__row_8h.html#ad77d444bcfa9e6afcc1ffc1dcb919f1c">row_reduce_general_med</a>(</div>
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<div class="line"><a id="l00044" name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">const</span> device T* in [[buffer(0)]],</div>
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<div class="line"><a id="l00045" name="l00045"></a><span class="lineno"> 45</span> device U* out [[buffer(1)]],</div>
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<div class="line"><a id="l00046" name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>& reduction_size [[buffer(2)]],</div>
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<div class="line"><a id="l00047" name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>& out_size [[buffer(3)]],</div>
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<div class="line"><a id="l00048" name="l00048"></a><span class="lineno"> 48</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>& non_row_reductions [[buffer(4)]],</div>
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<div class="line"><a id="l00049" name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">const</span> constant <span class="keywordtype">int</span>* shape [[buffer(5)]],</div>
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<div class="line"><a id="l00050" name="l00050"></a><span class="lineno"> 50</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>* strides [[buffer(6)]],</div>
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<div class="line"><a id="l00051" name="l00051"></a><span class="lineno"> 51</span> <span class="keyword">const</span> constant <span class="keywordtype">int</span>& ndim [[buffer(7)]],</div>
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<div class="line"><a id="l00052" name="l00052"></a><span class="lineno"> 52</span> uint tid [[threadgroup_position_in_grid]],</div>
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<div class="line"><a id="l00053" name="l00053"></a><span class="lineno"> 53</span> uint simd_lane_id [[thread_index_in_simdgroup]],</div>
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<div class="line"><a id="l00054" name="l00054"></a><span class="lineno"> 54</span> uint simd_per_group [[dispatch_simdgroups_per_threadgroup]],</div>
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<div class="line"><a id="l00055" name="l00055"></a><span class="lineno"> 55</span> uint simd_group_id [[simdgroup_index_in_threadgroup]]) {</div>
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<div class="line"><a id="l00056" name="l00056"></a><span class="lineno"> 56</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>;</div>
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<div class="line"><a id="l00057" name="l00057"></a><span class="lineno"> 57</span> </div>
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<div class="line"><a id="l00058" name="l00058"></a><span class="lineno"> 58</span> uint out_idx = simd_per_group * tid + simd_group_id;</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> <span class="keywordflow">if</span> (out_idx >= out_size) {</div>
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<div class="line"><a id="l00061" name="l00061"></a><span class="lineno"> 61</span> <span class="keywordflow">return</span>;</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> </div>
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<div class="line"><a id="l00064" name="l00064"></a><span class="lineno"> 64</span> U total_val = Op::init;</div>
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<div class="line"><a id="l00065" name="l00065"></a><span class="lineno"> 65</span> </div>
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<div class="line"><a id="l00066" name="l00066"></a><span class="lineno"> 66</span> <span class="keywordflow">if</span> (<span class="keywordtype">short</span>(non_row_reductions) == 1) {</div>
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<div class="line"><a id="l00067" name="l00067"></a><span class="lineno"> 67</span> uint in_idx = <a class="code hl_function" href="backend_2metal_2kernels_2utils_8h.html#a2e49fa7ab8f6348543455c6c45d7e2a9">elem_to_loc</a>(out_idx, shape, strides, ndim);</div>
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<div class="line"><a id="l00068" name="l00068"></a><span class="lineno"> 68</span> <span class="keyword">const</span> device T* in_row = in + in_idx;</div>
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<div class="line"><a id="l00069" name="l00069"></a><span class="lineno"> 69</span> </div>
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<div class="line"><a id="l00070" name="l00070"></a><span class="lineno"> 70</span> <span class="keywordflow">for</span> (<span class="keywordtype">short</span> i = simd_lane_id; i < short(reduction_size); i += 32) {</div>
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<div class="line"><a id="l00071" name="l00071"></a><span class="lineno"> 71</span> total_val = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(<span class="keyword">static_cast<</span>U<span class="keyword">></span>(in_row[i]), total_val);</div>
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<div class="line"><a id="l00072" name="l00072"></a><span class="lineno"> 72</span> }</div>
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<div class="line"><a id="l00073" name="l00073"></a><span class="lineno"> 73</span> }</div>
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<div class="line"><a id="l00074" name="l00074"></a><span class="lineno"> 74</span> </div>
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<div class="line"><a id="l00075" name="l00075"></a><span class="lineno"> 75</span> <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<span class="keywordtype">short</span>(non_row_reductions) >= 32) {</div>
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<div class="line"><a id="l00076" name="l00076"></a><span class="lineno"> 76</span> <span class="keywordflow">for</span> (<span class="keywordtype">short</span> r = simd_lane_id; r < short(non_row_reductions); r += 32) {</div>
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<div class="line"><a id="l00077" name="l00077"></a><span class="lineno"> 77</span> uint in_idx = <a class="code hl_function" href="backend_2metal_2kernels_2utils_8h.html#a2e49fa7ab8f6348543455c6c45d7e2a9">elem_to_loc</a>(out_idx + r * out_size, shape, strides, ndim);</div>
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<div class="line"><a id="l00078" name="l00078"></a><span class="lineno"> 78</span> <span class="keyword">const</span> device T* in_row = in + in_idx;</div>
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<div class="line"><a id="l00079" name="l00079"></a><span class="lineno"> 79</span> </div>
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<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"> 80</span> <span class="keywordflow">for</span> (<span class="keywordtype">short</span> i = 0; i < short(reduction_size); i++) {</div>
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<div class="line"><a id="l00081" name="l00081"></a><span class="lineno"> 81</span> total_val = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(<span class="keyword">static_cast<</span>U<span class="keyword">></span>(in_row[i]), total_val);</div>
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||
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<div class="line"><a id="l00082" name="l00082"></a><span class="lineno"> 82</span> }</div>
|
||
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<div class="line"><a id="l00083" name="l00083"></a><span class="lineno"> 83</span> }</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 class="line"><a id="l00086" name="l00086"></a><span class="lineno"> 86</span> </div>
|
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<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"> 87</span> <span class="keywordflow">else</span> {</div>
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<div class="line"><a id="l00088" name="l00088"></a><span class="lineno"> 88</span> <span class="keyword">const</span> <span class="keywordtype">short</span> n_reductions =</div>
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||
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<div class="line"><a id="l00089" name="l00089"></a><span class="lineno"> 89</span> short(reduction_size) * short(non_row_reductions);</div>
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<div class="line"><a id="l00090" name="l00090"></a><span class="lineno"> 90</span> <span class="keyword">const</span> <span class="keywordtype">short</span> reductions_per_thread =</div>
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<div class="line"><a id="l00091" name="l00091"></a><span class="lineno"> 91</span> (n_reductions + <a class="code hl_variable" href="backend_2metal_2kernels_2reduction_2ops_8h.html#a515b75d563a93d3c09ee677948dc83e3">simd_size</a> - 1) / <a class="code hl_variable" href="backend_2metal_2kernels_2reduction_2ops_8h.html#a515b75d563a93d3c09ee677948dc83e3">simd_size</a>;</div>
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<div class="line"><a id="l00092" name="l00092"></a><span class="lineno"> 92</span> </div>
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<div class="line"><a id="l00093" name="l00093"></a><span class="lineno"> 93</span> <span class="keyword">const</span> <span class="keywordtype">short</span> r_st = simd_lane_id / reductions_per_thread;</div>
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<div class="line"><a id="l00094" name="l00094"></a><span class="lineno"> 94</span> <span class="keyword">const</span> <span class="keywordtype">short</span> r_ed = short(non_row_reductions);</div>
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<div class="line"><a id="l00095" name="l00095"></a><span class="lineno"> 95</span> <span class="keyword">const</span> <span class="keywordtype">short</span> r_jump = <a class="code hl_variable" href="backend_2metal_2kernels_2reduction_2ops_8h.html#a515b75d563a93d3c09ee677948dc83e3">simd_size</a> / reductions_per_thread;</div>
|
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<div class="line"><a id="l00096" name="l00096"></a><span class="lineno"> 96</span> </div>
|
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<div class="line"><a id="l00097" name="l00097"></a><span class="lineno"> 97</span> <span class="keyword">const</span> <span class="keywordtype">short</span> i_st = simd_lane_id % reductions_per_thread;</div>
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<div class="line"><a id="l00098" name="l00098"></a><span class="lineno"> 98</span> <span class="keyword">const</span> <span class="keywordtype">short</span> i_ed = short(reduction_size);</div>
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<div class="line"><a id="l00099" name="l00099"></a><span class="lineno"> 99</span> <span class="keyword">const</span> <span class="keywordtype">short</span> i_jump = reductions_per_thread;</div>
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||
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<div class="line"><a id="l00100" name="l00100"></a><span class="lineno"> 100</span> </div>
|
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<div class="line"><a id="l00101" name="l00101"></a><span class="lineno"> 101</span> <span class="keywordflow">if</span> (r_st < r_jump) {</div>
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<div class="line"><a id="l00102" name="l00102"></a><span class="lineno"> 102</span> <span class="keywordflow">for</span> (<span class="keywordtype">short</span> r = r_st; r < r_ed; r += r_jump) {</div>
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<div class="line"><a id="l00103" name="l00103"></a><span class="lineno"> 103</span> uint in_idx = <a class="code hl_function" href="backend_2metal_2kernels_2utils_8h.html#a2e49fa7ab8f6348543455c6c45d7e2a9">elem_to_loc</a>(out_idx + r * out_size, shape, strides, ndim);</div>
|
||
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<div class="line"><a id="l00104" name="l00104"></a><span class="lineno"> 104</span> <span class="keyword">const</span> device T* in_row = in + in_idx;</div>
|
||
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<div class="line"><a id="l00105" name="l00105"></a><span class="lineno"> 105</span> </div>
|
||
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<div class="line"><a id="l00106" name="l00106"></a><span class="lineno"> 106</span> <span class="keywordflow">for</span> (<span class="keywordtype">short</span> i = i_st; i < i_ed; i += i_jump) {</div>
|
||
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<div class="line"><a id="l00107" name="l00107"></a><span class="lineno"> 107</span> total_val = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(<span class="keyword">static_cast<</span>U<span class="keyword">></span>(in_row[i]), total_val);</div>
|
||
|
|
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno"> 108</span> }</div>
|
||
|
|
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno"> 109</span> }</div>
|
||
|
|
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"> 110</span> }</div>
|
||
|
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<div class="line"><a id="l00111" name="l00111"></a><span class="lineno"> 111</span> }</div>
|
||
|
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<div class="line"><a id="l00112" name="l00112"></a><span class="lineno"> 112</span> </div>
|
||
|
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<div class="line"><a id="l00113" name="l00113"></a><span class="lineno"> 113</span> total_val = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>.simd_reduce(total_val);</div>
|
||
|
|
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno"> 114</span> </div>
|
||
|
|
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno"> 115</span> <span class="keywordflow">if</span> (simd_lane_id == 0) {</div>
|
||
|
|
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno"> 116</span> out[out_idx] = total_val;</div>
|
||
|
|
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno"> 117</span> }</div>
|
||
|
|
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno"> 118</span>}</div>
|
||
|
|
</div>
|
||
|
|
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno"> 119</span> </div>
|
||
|
|
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno"> 121</span><span class="comment">// Large row reductions</span></div>
|
||
|
|
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno"> 123</span> </div>
|
||
|
|
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno"> 124</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> N_READS = REDUCE_N_READS></div>
|
||
|
|
<div class="foldopen" id="foldopen00125" data-start="{" data-end="}">
|
||
|
|
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno"><a class="line" href="reduce__row_8h.html#a5df83c60214206d584be1587c9b723a5"> 125</a></span>METAL_FUNC U <a class="code hl_function" href="reduce__row_8h.html#a5df83c60214206d584be1587c9b723a5">per_thread_row_reduce</a>(</div>
|
||
|
|
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno"> 126</span> <span class="keyword">const</span> device T* in,</div>
|
||
|
|
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno"> 127</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>& reduction_size,</div>
|
||
|
|
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno"> 128</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>& out_size,</div>
|
||
|
|
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno"> 129</span> <span class="keyword">const</span> constant <span class="keywordtype">int</span>* shape,</div>
|
||
|
|
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno"> 130</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>* strides,</div>
|
||
|
|
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno"> 131</span> <span class="keyword">const</span> constant <span class="keywordtype">int</span>& ndim,</div>
|
||
|
|
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno"> 132</span> uint lsize_x,</div>
|
||
|
|
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno"> 133</span> uint lid_x,</div>
|
||
|
|
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno"> 134</span> uint2 tid) {</div>
|
||
|
|
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno"> 135</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>;</div>
|
||
|
|
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno"> 136</span> </div>
|
||
|
|
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno"> 137</span> <span class="comment">// Each threadgroup handles 1 reduction</span></div>
|
||
|
|
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno"> 138</span> <span class="comment">// TODO: Specializing elem_to_loc would be slightly faster</span></div>
|
||
|
|
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno"> 139</span> <span class="keywordtype">int</span> idx = tid.y * out_size + tid.x;</div>
|
||
|
|
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno"> 140</span> <span class="keywordtype">int</span> extra_offset = <a class="code hl_function" href="backend_2metal_2kernels_2utils_8h.html#a2e49fa7ab8f6348543455c6c45d7e2a9">elem_to_loc</a>(idx, shape, strides, ndim);</div>
|
||
|
|
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno"> 141</span> in += extra_offset + lid_x * N_READS;</div>
|
||
|
|
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno"> 142</span> </div>
|
||
|
|
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno"> 143</span> <span class="comment">// The reduction is accumulated here</span></div>
|
||
|
|
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno"> 144</span> U total_val = Op::init;</div>
|
||
|
|
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"> 145</span> </div>
|
||
|
|
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno"> 146</span> <span class="comment">// Loop over the reduction size within thread group</span></div>
|
||
|
|
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno"> 147</span> <span class="keywordtype">int</span> r = 0;</div>
|
||
|
|
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno"> 148</span> <span class="keywordflow">for</span> (; r < (int)<a class="code hl_function" href="backend_2metal_2kernels_2utils_8h.html#a51c19db777f43943e4b35f25dd88d49d">ceildiv</a>(reduction_size, N_READS * lsize_x) - 1; r++) {</div>
|
||
|
|
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno"> 149</span> T vals[N_READS];</div>
|
||
|
|
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno"> 150</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N_READS; i++) {</div>
|
||
|
|
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno"> 151</span> vals[i] = in[i];</div>
|
||
|
|
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno"> 152</span> }</div>
|
||
|
|
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"> 153</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N_READS; i++) {</div>
|
||
|
|
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno"> 154</span> total_val = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(<span class="keyword">static_cast<</span>U<span class="keyword">></span>(vals[i]), total_val);</div>
|
||
|
|
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno"> 155</span> }</div>
|
||
|
|
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno"> 156</span> </div>
|
||
|
|
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno"> 157</span> in += lsize_x * N_READS;</div>
|
||
|
|
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno"> 158</span> }</div>
|
||
|
|
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno"> 159</span> </div>
|
||
|
|
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno"> 160</span> <span class="comment">// Separate case for the last set as we close the reduction size</span></div>
|
||
|
|
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno"> 161</span> <span class="keywordtype">size_t</span> reduction_index = (lid_x + (size_t)lsize_x * r) * N_READS;</div>
|
||
|
|
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno"> 162</span> <span class="keywordflow">if</span> (reduction_index < reduction_size) {</div>
|
||
|
|
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno"> 163</span> <span class="keywordtype">int</span> max_reads = reduction_size - reduction_index;</div>
|
||
|
|
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno"> 164</span> </div>
|
||
|
|
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno"> 165</span> T vals[N_READS];</div>
|
||
|
|
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno"> 166</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N_READS; i++) {</div>
|
||
|
|
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno"> 167</span> <span class="keywordtype">int</span> idx = min(i, max_reads - 1);</div>
|
||
|
|
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno"> 168</span> vals[i] = <span class="keyword">static_cast<</span>U<span class="keyword">></span>(in[idx]);</div>
|
||
|
|
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno"> 169</span> }</div>
|
||
|
|
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno"> 170</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N_READS; i++) {</div>
|
||
|
|
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno"> 171</span> T val = i < max_reads ? vals[i] : Op::init;</div>
|
||
|
|
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno"> 172</span> total_val = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(<span class="keyword">static_cast<</span>U<span class="keyword">></span>(val), total_val);</div>
|
||
|
|
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno"> 173</span> }</div>
|
||
|
|
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno"> 174</span> }</div>
|
||
|
|
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno"> 175</span> </div>
|
||
|
|
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno"> 176</span> <span class="keywordflow">return</span> total_val;</div>
|
||
|
|
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno"> 177</span>}</div>
|
||
|
|
</div>
|
||
|
|
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno"> 178</span> </div>
|
||
|
|
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno"> 179</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> N_READS = REDUCE_N_READS></div>
|
||
|
|
<div class="foldopen" id="foldopen00180" data-start="{" data-end="}">
|
||
|
|
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno"><a class="line" href="reduce__row_8h.html#a917b01e3de3372d276f8dd28f0e9b8f1"> 180</a></span>[[kernel]] <span class="keywordtype">void</span> <a class="code hl_function" href="reduce__row_8h.html#a917b01e3de3372d276f8dd28f0e9b8f1">row_reduce_general</a>(</div>
|
||
|
|
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno"> 181</span> <span class="keyword">const</span> device T* in [[buffer(0)]],</div>
|
||
|
|
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno"> 182</span> device <a class="code hl_struct" href="structmlx__atomic.html">mlx_atomic<U></a>* out [[buffer(1)]],</div>
|
||
|
|
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno"> 183</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>& reduction_size [[buffer(2)]],</div>
|
||
|
|
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno"> 184</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>& out_size [[buffer(3)]],</div>
|
||
|
|
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno"> 185</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>& non_row_reductions [[buffer(4)]],</div>
|
||
|
|
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno"> 186</span> <span class="keyword">const</span> constant <span class="keywordtype">int</span>* shape [[buffer(5)]],</div>
|
||
|
|
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno"> 187</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>* strides [[buffer(6)]],</div>
|
||
|
|
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno"> 188</span> <span class="keyword">const</span> constant <span class="keywordtype">int</span>& ndim [[buffer(7)]],</div>
|
||
|
|
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno"> 189</span> uint3 lid [[thread_position_in_threadgroup]],</div>
|
||
|
|
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno"> 190</span> uint3 lsize [[threads_per_threadgroup]],</div>
|
||
|
|
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno"> 191</span> uint3 tid [[threadgroup_position_in_grid]],</div>
|
||
|
|
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno"> 192</span> uint simd_lane_id [[thread_index_in_simdgroup]],</div>
|
||
|
|
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno"> 193</span> uint simd_per_group [[simdgroups_per_threadgroup]],</div>
|
||
|
|
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno"> 194</span> uint simd_group_id [[simdgroup_index_in_threadgroup]]) {</div>
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<div class="line"><a id="l00195" name="l00195"></a><span class="lineno"> 195</span> (void)non_row_reductions;</div>
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<div class="line"><a id="l00196" name="l00196"></a><span class="lineno"> 196</span> </div>
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<div class="line"><a id="l00197" name="l00197"></a><span class="lineno"> 197</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>;</div>
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<div class="line"><a id="l00198" name="l00198"></a><span class="lineno"> 198</span> threadgroup U local_vals[<a class="code hl_variable" href="backend_2metal_2kernels_2reduction_2ops_8h.html#a515b75d563a93d3c09ee677948dc83e3">simd_size</a>];</div>
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<div class="line"><a id="l00199" name="l00199"></a><span class="lineno"> 199</span> </div>
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<div class="line"><a id="l00200" name="l00200"></a><span class="lineno"> 200</span> U total_val = per_thread_row_reduce<T, U, Op, N_READS>(</div>
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<div class="line"><a id="l00201" name="l00201"></a><span class="lineno"> 201</span> in,</div>
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<div class="line"><a id="l00202" name="l00202"></a><span class="lineno"> 202</span> reduction_size,</div>
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<div class="line"><a id="l00203" name="l00203"></a><span class="lineno"> 203</span> out_size,</div>
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<div class="line"><a id="l00204" name="l00204"></a><span class="lineno"> 204</span> shape,</div>
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<div class="line"><a id="l00205" name="l00205"></a><span class="lineno"> 205</span> strides,</div>
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<div class="line"><a id="l00206" name="l00206"></a><span class="lineno"> 206</span> ndim,</div>
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<div class="line"><a id="l00207" name="l00207"></a><span class="lineno"> 207</span> lsize.x,</div>
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<div class="line"><a id="l00208" name="l00208"></a><span class="lineno"> 208</span> lid.x,</div>
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<div class="line"><a id="l00209" name="l00209"></a><span class="lineno"> 209</span> tid.xy);</div>
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<div class="line"><a id="l00210" name="l00210"></a><span class="lineno"> 210</span> </div>
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<div class="line"><a id="l00211" name="l00211"></a><span class="lineno"> 211</span> total_val = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>.simd_reduce(total_val);</div>
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<div class="line"><a id="l00212" name="l00212"></a><span class="lineno"> 212</span> </div>
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<div class="line"><a id="l00213" name="l00213"></a><span class="lineno"> 213</span> <span class="comment">// Prepare next level</span></div>
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<div class="line"><a id="l00214" name="l00214"></a><span class="lineno"> 214</span> <span class="keywordflow">if</span> (simd_lane_id == 0) {</div>
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<div class="line"><a id="l00215" name="l00215"></a><span class="lineno"> 215</span> local_vals[simd_group_id] = total_val;</div>
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<div class="line"><a id="l00216" name="l00216"></a><span class="lineno"> 216</span> }</div>
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<div class="line"><a id="l00217" name="l00217"></a><span class="lineno"> 217</span> threadgroup_barrier(mem_flags::mem_threadgroup);</div>
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<div class="line"><a id="l00218" name="l00218"></a><span class="lineno"> 218</span> </div>
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<div class="line"><a id="l00219" name="l00219"></a><span class="lineno"> 219</span> <span class="comment">// Reduction within thread group</span></div>
|
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<div class="line"><a id="l00220" name="l00220"></a><span class="lineno"> 220</span> <span class="comment">// Only needed if multiple simd groups</span></div>
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<div class="line"><a id="l00221" name="l00221"></a><span class="lineno"> 221</span> <span class="keywordflow">if</span> (reduction_size > <a class="code hl_variable" href="backend_2metal_2kernels_2reduction_2ops_8h.html#a515b75d563a93d3c09ee677948dc83e3">simd_size</a>) {</div>
|
||
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<div class="line"><a id="l00222" name="l00222"></a><span class="lineno"> 222</span> total_val = lid.x < simd_per_group ? local_vals[lid.x] : <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>.init;</div>
|
||
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<div class="line"><a id="l00223" name="l00223"></a><span class="lineno"> 223</span> total_val = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>.simd_reduce(total_val);</div>
|
||
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<div class="line"><a id="l00224" name="l00224"></a><span class="lineno"> 224</span> }</div>
|
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<div class="line"><a id="l00225" name="l00225"></a><span class="lineno"> 225</span> <span class="comment">// Update output</span></div>
|
||
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<div class="line"><a id="l00226" name="l00226"></a><span class="lineno"> 226</span> <span class="keywordflow">if</span> (lid.x == 0) {</div>
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<div class="line"><a id="l00227" name="l00227"></a><span class="lineno"> 227</span> <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>.atomic_update(out, total_val, tid.x);</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>}</div>
|
||
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</div>
|
||
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<div class="line"><a id="l00230" name="l00230"></a><span class="lineno"> 230</span> </div>
|
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<div class="line"><a id="l00231" name="l00231"></a><span class="lineno"> 231</span><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> N_READS = REDUCE_N_READS></div>
|
||
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<div class="foldopen" id="foldopen00232" data-start="{" data-end="}">
|
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<div class="line"><a id="l00232" name="l00232"></a><span class="lineno"><a class="line" href="reduce__row_8h.html#a034fdccc83e66871550c2d42399f0ab5"> 232</a></span>[[kernel]] <span class="keywordtype">void</span> <a class="code hl_function" href="reduce__row_8h.html#a034fdccc83e66871550c2d42399f0ab5">row_reduce_general_no_atomics</a>(</div>
|
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<div class="line"><a id="l00233" name="l00233"></a><span class="lineno"> 233</span> <span class="keyword">const</span> device T* in [[buffer(0)]],</div>
|
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<div class="line"><a id="l00234" name="l00234"></a><span class="lineno"> 234</span> device U* out [[buffer(1)]],</div>
|
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<div class="line"><a id="l00235" name="l00235"></a><span class="lineno"> 235</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>& reduction_size [[buffer(2)]],</div>
|
||
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<div class="line"><a id="l00236" name="l00236"></a><span class="lineno"> 236</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>& out_size [[buffer(3)]],</div>
|
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<div class="line"><a id="l00237" name="l00237"></a><span class="lineno"> 237</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>& non_row_reductions [[buffer(4)]],</div>
|
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<div class="line"><a id="l00238" name="l00238"></a><span class="lineno"> 238</span> <span class="keyword">const</span> constant <span class="keywordtype">int</span>* shape [[buffer(5)]],</div>
|
||
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<div class="line"><a id="l00239" name="l00239"></a><span class="lineno"> 239</span> <span class="keyword">const</span> constant <span class="keywordtype">size_t</span>* strides [[buffer(6)]],</div>
|
||
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<div class="line"><a id="l00240" name="l00240"></a><span class="lineno"> 240</span> <span class="keyword">const</span> constant <span class="keywordtype">int</span>& ndim [[buffer(7)]],</div>
|
||
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<div class="line"><a id="l00241" name="l00241"></a><span class="lineno"> 241</span> uint3 lid [[thread_position_in_threadgroup]],</div>
|
||
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<div class="line"><a id="l00242" name="l00242"></a><span class="lineno"> 242</span> uint3 lsize [[threads_per_threadgroup]],</div>
|
||
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<div class="line"><a id="l00243" name="l00243"></a><span class="lineno"> 243</span> uint3 gsize [[threads_per_grid]],</div>
|
||
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<div class="line"><a id="l00244" name="l00244"></a><span class="lineno"> 244</span> uint3 tid [[threadgroup_position_in_grid]],</div>
|
||
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<div class="line"><a id="l00245" name="l00245"></a><span class="lineno"> 245</span> uint simd_lane_id [[thread_index_in_simdgroup]],</div>
|
||
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<div class="line"><a id="l00246" name="l00246"></a><span class="lineno"> 246</span> uint simd_per_group [[simdgroups_per_threadgroup]],</div>
|
||
|
|
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno"> 247</span> uint simd_group_id [[simdgroup_index_in_threadgroup]]) {</div>
|
||
|
|
<div class="line"><a id="l00248" name="l00248"></a><span class="lineno"> 248</span> (void)non_row_reductions;</div>
|
||
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|
<div class="line"><a id="l00249" name="l00249"></a><span class="lineno"> 249</span> </div>
|
||
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|
<div class="line"><a id="l00250" name="l00250"></a><span class="lineno"> 250</span> Op <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>;</div>
|
||
|
|
<div class="line"><a id="l00251" name="l00251"></a><span class="lineno"> 251</span> </div>
|
||
|
|
<div class="line"><a id="l00252" name="l00252"></a><span class="lineno"> 252</span> threadgroup U local_vals[<a class="code hl_variable" href="backend_2metal_2kernels_2reduction_2ops_8h.html#a515b75d563a93d3c09ee677948dc83e3">simd_size</a>];</div>
|
||
|
|
<div class="line"><a id="l00253" name="l00253"></a><span class="lineno"> 253</span> U total_val = per_thread_row_reduce<T, U, Op, N_READS>(</div>
|
||
|
|
<div class="line"><a id="l00254" name="l00254"></a><span class="lineno"> 254</span> in,</div>
|
||
|
|
<div class="line"><a id="l00255" name="l00255"></a><span class="lineno"> 255</span> reduction_size,</div>
|
||
|
|
<div class="line"><a id="l00256" name="l00256"></a><span class="lineno"> 256</span> out_size,</div>
|
||
|
|
<div class="line"><a id="l00257" name="l00257"></a><span class="lineno"> 257</span> shape,</div>
|
||
|
|
<div class="line"><a id="l00258" name="l00258"></a><span class="lineno"> 258</span> strides,</div>
|
||
|
|
<div class="line"><a id="l00259" name="l00259"></a><span class="lineno"> 259</span> ndim,</div>
|
||
|
|
<div class="line"><a id="l00260" name="l00260"></a><span class="lineno"> 260</span> lsize.x,</div>
|
||
|
|
<div class="line"><a id="l00261" name="l00261"></a><span class="lineno"> 261</span> lid.x,</div>
|
||
|
|
<div class="line"><a id="l00262" name="l00262"></a><span class="lineno"> 262</span> tid.xy);</div>
|
||
|
|
<div class="line"><a id="l00263" name="l00263"></a><span class="lineno"> 263</span> </div>
|
||
|
|
<div class="line"><a id="l00264" name="l00264"></a><span class="lineno"> 264</span> <span class="comment">// Reduction within simd group - simd_add isn't supported for int64 types</span></div>
|
||
|
|
<div class="line"><a id="l00265" name="l00265"></a><span class="lineno"> 265</span> <span class="keywordflow">for</span> (uint16_t i = <a class="code hl_variable" href="backend_2metal_2kernels_2reduction_2ops_8h.html#a515b75d563a93d3c09ee677948dc83e3">simd_size</a> / 2; i > 0; i /= 2) {</div>
|
||
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|
<div class="line"><a id="l00266" name="l00266"></a><span class="lineno"> 266</span> total_val = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(total_val, <a class="code hl_function" href="backend_2metal_2kernels_2utils_8h.html#aba6279624b1d30c525efee856a222b5c">simd_shuffle_down</a>(total_val, i));</div>
|
||
|
|
<div class="line"><a id="l00267" name="l00267"></a><span class="lineno"> 267</span> }</div>
|
||
|
|
<div class="line"><a id="l00268" name="l00268"></a><span class="lineno"> 268</span> </div>
|
||
|
|
<div class="line"><a id="l00269" name="l00269"></a><span class="lineno"> 269</span> <span class="comment">// Prepare next level</span></div>
|
||
|
|
<div class="line"><a id="l00270" name="l00270"></a><span class="lineno"> 270</span> <span class="keywordflow">if</span> (simd_lane_id == 0) {</div>
|
||
|
|
<div class="line"><a id="l00271" name="l00271"></a><span class="lineno"> 271</span> local_vals[simd_group_id] = total_val;</div>
|
||
|
|
<div class="line"><a id="l00272" name="l00272"></a><span class="lineno"> 272</span> }</div>
|
||
|
|
<div class="line"><a id="l00273" name="l00273"></a><span class="lineno"> 273</span> threadgroup_barrier(mem_flags::mem_threadgroup);</div>
|
||
|
|
<div class="line"><a id="l00274" name="l00274"></a><span class="lineno"> 274</span> </div>
|
||
|
|
<div class="line"><a id="l00275" name="l00275"></a><span class="lineno"> 275</span> <span class="comment">// Reduction within thread group</span></div>
|
||
|
|
<div class="line"><a id="l00276" name="l00276"></a><span class="lineno"> 276</span> <span class="comment">// Only needed if thread group has multiple simd groups</span></div>
|
||
|
|
<div class="line"><a id="l00277" name="l00277"></a><span class="lineno"> 277</span> <span class="keywordflow">if</span> (<a class="code hl_function" href="backend_2metal_2kernels_2utils_8h.html#a51c19db777f43943e4b35f25dd88d49d">ceildiv</a>(reduction_size, N_READS) > <a class="code hl_variable" href="backend_2metal_2kernels_2reduction_2ops_8h.html#a515b75d563a93d3c09ee677948dc83e3">simd_size</a>) {</div>
|
||
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|
<div class="line"><a id="l00278" name="l00278"></a><span class="lineno"> 278</span> total_val = lid.x < simd_per_group ? local_vals[lid.x] : <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>.init;</div>
|
||
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|
<div class="line"><a id="l00279" name="l00279"></a><span class="lineno"> 279</span> <span class="keywordflow">for</span> (uint16_t i = <a class="code hl_variable" href="backend_2metal_2kernels_2reduction_2ops_8h.html#a515b75d563a93d3c09ee677948dc83e3">simd_size</a> / 2; i > 0; i /= 2) {</div>
|
||
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<div class="line"><a id="l00280" name="l00280"></a><span class="lineno"> 280</span> total_val = <a class="code hl_variable" href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a>(total_val, <a class="code hl_function" href="backend_2metal_2kernels_2utils_8h.html#aba6279624b1d30c525efee856a222b5c">simd_shuffle_down</a>(total_val, i));</div>
|
||
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<div class="line"><a id="l00281" name="l00281"></a><span class="lineno"> 281</span> }</div>
|
||
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|
<div class="line"><a id="l00282" name="l00282"></a><span class="lineno"> 282</span> }</div>
|
||
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|
<div class="line"><a id="l00283" name="l00283"></a><span class="lineno"> 283</span> <span class="comment">// Write row reduce output for threadgroup with 1st thread in thread group</span></div>
|
||
|
|
<div class="line"><a id="l00284" name="l00284"></a><span class="lineno"> 284</span> <span class="keywordflow">if</span> (lid.x == 0) {</div>
|
||
|
|
<div class="line"><a id="l00285" name="l00285"></a><span class="lineno"> 285</span> out[(<a class="code hl_function" href="backend_2metal_2kernels_2utils_8h.html#a51c19db777f43943e4b35f25dd88d49d">ceildiv</a>(gsize.y, lsize.y) * tid.x) + tid.y] = total_val;</div>
|
||
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<div class="line"><a id="l00286" name="l00286"></a><span class="lineno"> 286</span> }</div>
|
||
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<div class="line"><a id="l00287" name="l00287"></a><span class="lineno"> 287</span>}</div>
|
||
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</div>
|
||
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<div class="ttc" id="abackend_2metal_2kernels_2reduction_2ops_8h_html_a515b75d563a93d3c09ee677948dc83e3"><div class="ttname"><a href="backend_2metal_2kernels_2reduction_2ops_8h.html#a515b75d563a93d3c09ee677948dc83e3">simd_size</a></div><div class="ttdeci">static constant constexpr const uint8_t simd_size</div><div class="ttdef"><b>Definition</b> ops.h:8</div></div>
|
||
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<div class="ttc" id="abackend_2metal_2kernels_2utils_8h_html_a2e49fa7ab8f6348543455c6c45d7e2a9"><div class="ttname"><a href="backend_2metal_2kernels_2utils_8h.html#a2e49fa7ab8f6348543455c6c45d7e2a9">elem_to_loc</a></div><div class="ttdeci">METAL_FUNC stride_t elem_to_loc(uint elem, device const int *shape, device const stride_t *strides, int ndim)</div><div class="ttdef"><b>Definition</b> utils.h:77</div></div>
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<div class="ttc" id="abackend_2metal_2kernels_2utils_8h_html_a51c19db777f43943e4b35f25dd88d49d"><div class="ttname"><a href="backend_2metal_2kernels_2utils_8h.html#a51c19db777f43943e4b35f25dd88d49d">ceildiv</a></div><div class="ttdeci">size_t ceildiv(size_t N, size_t M)</div><div class="ttdoc">Compute ceil((float)N/(float)M)</div><div class="ttdef"><b>Definition</b> utils.h:296</div></div>
|
||
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<div class="ttc" id="abackend_2metal_2kernels_2utils_8h_html_aba6279624b1d30c525efee856a222b5c"><div class="ttname"><a href="backend_2metal_2kernels_2utils_8h.html#aba6279624b1d30c525efee856a222b5c">simd_shuffle_down</a></div><div class="ttdeci">uint64_t simd_shuffle_down(uint64_t data, uint16_t delta)</div><div class="ttdef"><b>Definition</b> utils.h:329</div></div>
|
||
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<div class="ttc" id="acommon_2binary_8h_html_a70228731d29946574b238d21fb4b360c"><div class="ttname"><a href="common_2binary_8h.html#a70228731d29946574b238d21fb4b360c">op</a></div><div class="ttdeci">Op op</div><div class="ttdef"><b>Definition</b> binary.h:141</div></div>
|
||
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<div class="ttc" id="areduce__row_8h_html_a034fdccc83e66871550c2d42399f0ab5"><div class="ttname"><a href="reduce__row_8h.html#a034fdccc83e66871550c2d42399f0ab5">row_reduce_general_no_atomics</a></div><div class="ttdeci">void row_reduce_general_no_atomics(const device T *in, device U *out, const constant size_t &reduction_size, const constant size_t &out_size, const constant size_t &non_row_reductions, const constant int *shape, const constant size_t *strides, const constant int &ndim, uint3 lid, uint3 lsize, uint3 gsize, uint3 tid, uint simd_lane_id, uint simd_per_group, uint simd_group_id)</div><div class="ttdef"><b>Definition</b> reduce_row.h:232</div></div>
|
||
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<div class="ttc" id="areduce__row_8h_html_a5df83c60214206d584be1587c9b723a5"><div class="ttname"><a href="reduce__row_8h.html#a5df83c60214206d584be1587c9b723a5">per_thread_row_reduce</a></div><div class="ttdeci">METAL_FUNC U per_thread_row_reduce(const device T *in, const constant size_t &reduction_size, const constant size_t &out_size, const constant int *shape, const constant size_t *strides, const constant int &ndim, uint lsize_x, uint lid_x, uint2 tid)</div><div class="ttdef"><b>Definition</b> reduce_row.h:125</div></div>
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||
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<div class="ttc" id="areduce__row_8h_html_a917b01e3de3372d276f8dd28f0e9b8f1"><div class="ttname"><a href="reduce__row_8h.html#a917b01e3de3372d276f8dd28f0e9b8f1">row_reduce_general</a></div><div class="ttdeci">void row_reduce_general(const device T *in, device mlx_atomic< U > *out, const constant size_t &reduction_size, const constant size_t &out_size, const constant size_t &non_row_reductions, const constant int *shape, const constant size_t *strides, const constant int &ndim, uint3 lid, uint3 lsize, uint3 tid, uint simd_lane_id, uint simd_per_group, uint simd_group_id)</div><div class="ttdef"><b>Definition</b> reduce_row.h:180</div></div>
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<div class="ttc" id="areduce__row_8h_html_ad77d444bcfa9e6afcc1ffc1dcb919f1c"><div class="ttname"><a href="reduce__row_8h.html#ad77d444bcfa9e6afcc1ffc1dcb919f1c">row_reduce_general_med</a></div><div class="ttdeci">void row_reduce_general_med(const device T *in, device U *out, const constant size_t &reduction_size, const constant size_t &out_size, const constant size_t &non_row_reductions, const constant int *shape, const constant size_t *strides, const constant int &ndim, uint tid, uint simd_lane_id, uint simd_per_group, uint simd_group_id)</div><div class="ttdef"><b>Definition</b> reduce_row.h:43</div></div>
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<div class="ttc" id="areduce__row_8h_html_aea2b1ba640fffb71c73550ec747b3148"><div class="ttname"><a href="reduce__row_8h.html#aea2b1ba640fffb71c73550ec747b3148">row_reduce_general_small</a></div><div class="ttdeci">void row_reduce_general_small(const device T *in, device U *out, const constant size_t &reduction_size, const constant size_t &out_size, const constant size_t &non_row_reductions, const constant int *shape, const constant size_t *strides, const constant int &ndim, uint lid)</div><div class="ttdef"><b>Definition</b> reduce_row.h:9</div></div>
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<div class="ttc" id="astructmlx__atomic_html"><div class="ttname"><a href="structmlx__atomic.html">mlx_atomic</a></div><div class="ttdef"><b>Definition</b> atomic.h:25</div></div>
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