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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 >
< div class = "line" > < a id = "l00002" name = "l00002" > < / a > < span class = "lineno" > 2< / span > < / div >
< div class = "line" > < a id = "l00003" name = "l00003" > < / a > < span class = "lineno" > 3< / span > < span class = "comment" > // Row reduction utilities< / span > < / div >
< div class = "line" > < a id = "l00004" name = "l00004" > < / a > < span class = "lineno" > 4< / span > < span class = "comment" > // - `per_thread_row_reduce` collaborative partial reduction in the threadgroup< / span > < / div >
< div class = "line" > < a id = "l00005" name = "l00005" > < / a > < span class = "lineno" > 5< / span > < span class = "comment" > // - `threadgroup_reduce` collaborative reduction in the threadgroup such that< / span > < / div >
< div class = "line" > < a id = "l00006" name = "l00006" > < / a > < span class = "lineno" > 6< / span > < span class = "comment" > // lid.x == 0 holds the reduced value< / span > < / div >
< div class = "line" > < a id = "l00007" name = "l00007" > < / a > < span class = "lineno" > 7< / span > < span class = "comment" > // - `thread_reduce` simple loop and reduce the row< / span > < / div >
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< div class = "line" > < a id = "l00008" name = "l00008" > < / a > < span class = "lineno" > 8< / span > < / div >
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< div class = "line" > < a id = "l00013" name = "l00013" > < / a > < span class = "lineno" > 13< / span > < span class = "keyword" > template< / span > < < / div >
< div class = "line" > < a id = "l00014" name = "l00014" > < / a > < span class = "lineno" > 14< / span > < span class = "keyword" > typename< / span > T,< / div >
< div class = "line" > < a id = "l00015" name = "l00015" > < / a > < span class = "lineno" > 15< / span > < span class = "keyword" > typename< / span > U,< / div >
< div class = "line" > < a id = "l00016" name = "l00016" > < / a > < span class = "lineno" > 16< / span > < span class = "keyword" > typename< / span > Op,< / div >
< div class = "line" > < a id = "l00017" name = "l00017" > < / a > < span class = "lineno" > 17< / span > < span class = "keywordtype" > int< / span > N_READS = < a class = "code hl_variable" href = "defines_8h.html#a2ad505864a2ab786147766900bc18c21" > REDUCE_N_READS< / a > ,< / div >
< div class = "line" > < a id = "l00018" name = "l00018" > < / a > < span class = "lineno" > 18< / span > < span class = "keywordtype" > int< / span > N_WRITES = < a class = "code hl_variable" href = "defines_8h.html#a68c33274e15a2f163f7631a36280d82f" > REDUCE_N_WRITES< / a > > < / div >
< div class = "foldopen" id = "foldopen00019" data-start = "{" data-end = "}" >
< div class = "line" > < a id = "l00019" name = "l00019" > < / a > < span class = "lineno" > < a class = "line" href = "reduce__row_8h.html#a9d5e0049a2276f43702fc6907e74a35f" > 19< / a > < / span > METAL_FUNC < span class = "keywordtype" > void< / span > < a class = "code hl_function" href = "reduce__row_8h.html#a9d5e0049a2276f43702fc6907e74a35f" > per_thread_row_reduce< / a > (< / div >
< div class = "line" > < a id = "l00020" name = "l00020" > < / a > < span class = "lineno" > 20< / span > thread U totals[N_WRITES],< / div >
< div class = "line" > < a id = "l00021" name = "l00021" > < / a > < span class = "lineno" > 21< / span > < span class = "keyword" > const< / span > device T* inputs[N_WRITES],< / div >
< div class = "line" > < a id = "l00022" name = "l00022" > < / a > < span class = "lineno" > 22< / span > < span class = "keywordtype" > int< / span > blocks,< / div >
< div class = "line" > < a id = "l00023" name = "l00023" > < / a > < span class = "lineno" > 23< / span > < span class = "keywordtype" > int< / span > extra,< / div >
< div class = "line" > < a id = "l00024" name = "l00024" > < / a > < span class = "lineno" > 24< / span > uint lsize_x,< / div >
< div class = "line" > < a id = "l00025" name = "l00025" > < / a > < span class = "lineno" > 25< / span > uint lid_x) {< / div >
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< div class = "line" > < a id = "l00026" name = "l00026" > < / a > < span class = "lineno" > 26< / span > Op op;< / div >
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< div class = "line" > < a id = "l00027" name = "l00027" > < / a > < span class = "lineno" > 27< / span > < / div >
< div class = "line" > < a id = "l00028" name = "l00028" > < / a > < span class = "lineno" > 28< / span > < span class = "comment" > // Set up the accumulator registers< / span > < / div >
< div class = "line" > < a id = "l00029" name = "l00029" > < / a > < span class = "lineno" > 29< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < N_WRITES; i++) {< / div >
< div class = "line" > < a id = "l00030" name = "l00030" > < / a > < span class = "lineno" > 30< / span > totals[i] = Op::init;< / div >
< div class = "line" > < a id = "l00031" name = "l00031" > < / a > < span class = "lineno" > 31< / span > }< / div >
< div class = "line" > < a id = "l00032" name = "l00032" > < / a > < span class = "lineno" > 32< / span > < / div >
< div class = "line" > < a id = "l00033" name = "l00033" > < / a > < span class = "lineno" > 33< / span > < span class = "comment" > // Loop over the reduction size within thread group< / span > < / div >
< div class = "line" > < a id = "l00034" name = "l00034" > < / a > < span class = "lineno" > 34< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < blocks; i++) {< / div >
< div class = "line" > < a id = "l00035" name = "l00035" > < / a > < span class = "lineno" > 35< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > j = 0; j < N_WRITES; j++) {< / div >
< div class = "line" > < a id = "l00036" name = "l00036" > < / a > < span class = "lineno" > 36< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < N_READS; i++) {< / div >
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< div class = "line" > < a id = "l00037" name = "l00037" > < / a > < span class = "lineno" > 37< / span > totals[j] = op(< span class = "keyword" > static_cast< < / span > U< span class = "keyword" > > < / span > (inputs[j][i]), totals[j]);< / div >
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< div class = "line" > < a id = "l00038" name = "l00038" > < / a > < span class = "lineno" > 38< / span > }< / div >
< div class = "line" > < a id = "l00039" name = "l00039" > < / a > < span class = "lineno" > 39< / span > < / div >
< div class = "line" > < a id = "l00040" name = "l00040" > < / a > < span class = "lineno" > 40< / span > inputs[j] += lsize_x * N_READS;< / div >
< div class = "line" > < a id = "l00041" name = "l00041" > < / a > < span class = "lineno" > 41< / span > }< / div >
< div class = "line" > < a id = "l00042" name = "l00042" > < / a > < span class = "lineno" > 42< / span > }< / div >
< div class = "line" > < a id = "l00043" name = "l00043" > < / a > < span class = "lineno" > 43< / span > < / div >
< div class = "line" > < a id = "l00044" name = "l00044" > < / a > < span class = "lineno" > 44< / span > < span class = "comment" > // Separate case for the last set as we close the reduction size< / span > < / div >
< div class = "line" > < a id = "l00045" name = "l00045" > < / a > < span class = "lineno" > 45< / span > < span class = "keywordtype" > int< / span > index = lid_x * N_READS;< / div >
< div class = "line" > < a id = "l00046" name = "l00046" > < / a > < span class = "lineno" > 46< / span > < span class = "keywordflow" > if< / span > (index + N_READS < = extra) {< / div >
< div class = "line" > < a id = "l00047" name = "l00047" > < / a > < span class = "lineno" > 47< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > j = 0; j < N_WRITES; j++) {< / div >
< div class = "line" > < a id = "l00048" name = "l00048" > < / a > < span class = "lineno" > 48< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < N_READS; i++) {< / div >
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< div class = "line" > < a id = "l00049" name = "l00049" > < / a > < span class = "lineno" > 49< / span > totals[j] = op(< span class = "keyword" > static_cast< < / span > U< span class = "keyword" > > < / span > (inputs[j][i]), totals[j]);< / div >
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< div class = "line" > < a id = "l00050" name = "l00050" > < / a > < span class = "lineno" > 50< / span > }< / div >
< div class = "line" > < a id = "l00051" name = "l00051" > < / a > < span class = "lineno" > 51< / span > }< / div >
< div class = "line" > < a id = "l00052" name = "l00052" > < / a > < span class = "lineno" > 52< / span > } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a id = "l00053" name = "l00053" > < / a > < span class = "lineno" > 53< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > j = 0; j < N_WRITES; j++) {< / div >
< div class = "line" > < a id = "l00054" name = "l00054" > < / a > < span class = "lineno" > 54< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; index + i < extra; i++) {< / div >
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< div class = "line" > < a id = "l00055" name = "l00055" > < / a > < span class = "lineno" > 55< / span > totals[j] = op(< span class = "keyword" > static_cast< < / span > U< span class = "keyword" > > < / span > (inputs[j][i]), totals[j]);< / div >
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< div class = "line" > < a id = "l00056" name = "l00056" > < / a > < span class = "lineno" > 56< / span > }< / div >
< div class = "line" > < a id = "l00057" name = "l00057" > < / a > < span class = "lineno" > 57< / span > }< / div >
< div class = "line" > < a id = "l00058" name = "l00058" > < / a > < span class = "lineno" > 58< / span > }< / div >
< div class = "line" > < a id = "l00059" name = "l00059" > < / a > < span class = "lineno" > 59< / span > }< / div >
< / div >
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< div class = "line" > < a id = "l00060" name = "l00060" > < / a > < span class = "lineno" > 60< / span > < / div >
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< div class = "line" > < a id = "l00064" name = "l00064" > < / a > < span class = "lineno" > 64< / span > < span class = "keyword" > template< / span > < < / div >
< div class = "line" > < a id = "l00065" name = "l00065" > < / a > < span class = "lineno" > 65< / span > < span class = "keyword" > typename< / span > T,< / div >
< div class = "line" > < a id = "l00066" name = "l00066" > < / a > < span class = "lineno" > 66< / span > < span class = "keyword" > typename< / span > U,< / div >
< div class = "line" > < a id = "l00067" name = "l00067" > < / a > < span class = "lineno" > 67< / span > < span class = "keyword" > typename< / span > Op,< / div >
< div class = "line" > < a id = "l00068" name = "l00068" > < / a > < span class = "lineno" > 68< / span > < span class = "keywordtype" > int< / span > N_READS = < a class = "code hl_variable" href = "defines_8h.html#a2ad505864a2ab786147766900bc18c21" > REDUCE_N_READS< / a > ,< / div >
< div class = "line" > < a id = "l00069" name = "l00069" > < / a > < span class = "lineno" > 69< / span > < span class = "keywordtype" > int< / span > N_WRITES = < a class = "code hl_variable" href = "defines_8h.html#a68c33274e15a2f163f7631a36280d82f" > REDUCE_N_WRITES< / a > > < / div >
< div class = "foldopen" id = "foldopen00070" data-start = "{" data-end = "}" >
< div class = "line" > < a id = "l00070" name = "l00070" > < / a > < span class = "lineno" > < a class = "line" href = "reduce__row_8h.html#a045ec34228e77c79ec67d11c39ff097a" > 70< / a > < / span > METAL_FUNC < span class = "keywordtype" > void< / span > < a class = "code hl_function" href = "reduce__row_8h.html#a9d5e0049a2276f43702fc6907e74a35f" > per_thread_row_reduce< / a > (< / div >
< div class = "line" > < a id = "l00071" name = "l00071" > < / a > < span class = "lineno" > 71< / span > thread U totals[N_WRITES],< / div >
< div class = "line" > < a id = "l00072" name = "l00072" > < / a > < span class = "lineno" > 72< / span > < span class = "keyword" > const< / span > device T* in,< / div >
< div class = "line" > < a id = "l00073" name = "l00073" > < / a > < span class = "lineno" > 73< / span > < span class = "keyword" > const< / span > constant < span class = "keywordtype" > size_t< / span > & reduction_size,< / div >
< div class = "line" > < a id = "l00074" name = "l00074" > < / a > < span class = "lineno" > 74< / span > < span class = "keywordtype" > int< / span > blocks,< / div >
< div class = "line" > < a id = "l00075" name = "l00075" > < / a > < span class = "lineno" > 75< / span > < span class = "keywordtype" > int< / span > extra,< / div >
< div class = "line" > < a id = "l00076" name = "l00076" > < / a > < span class = "lineno" > 76< / span > uint lsize_x,< / div >
< div class = "line" > < a id = "l00077" name = "l00077" > < / a > < span class = "lineno" > 77< / span > uint lid_x) {< / div >
< div class = "line" > < a id = "l00078" name = "l00078" > < / a > < span class = "lineno" > 78< / span > < span class = "comment" > // Set up the input pointers< / span > < / div >
< div class = "line" > < a id = "l00079" name = "l00079" > < / a > < span class = "lineno" > 79< / span > < span class = "keyword" > const< / span > device T* inputs[N_WRITES];< / div >
< div class = "line" > < a id = "l00080" name = "l00080" > < / a > < span class = "lineno" > 80< / span > inputs[0] = in + lid_x * N_READS;< / div >
< div class = "line" > < a id = "l00081" name = "l00081" > < / a > < span class = "lineno" > 81< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 1; i < N_READS; i++) {< / div >
< div class = "line" > < a id = "l00082" name = "l00082" > < / a > < span class = "lineno" > 82< / span > inputs[i] = inputs[i - 1] + reduction_size;< / div >
< div class = "line" > < a id = "l00083" name = "l00083" > < / a > < span class = "lineno" > 83< / span > }< / div >
< div class = "line" > < a id = "l00084" name = "l00084" > < / a > < span class = "lineno" > 84< / span > < / div >
< div class = "line" > < a id = "l00085" name = "l00085" > < / a > < span class = "lineno" > 85< / span > < a class = "code hl_function" href = "reduce__row_8h.html#a9d5e0049a2276f43702fc6907e74a35f" > per_thread_row_reduce< T, U, Op, N_READS, N_WRITES> < / a > (< / div >
< div class = "line" > < a id = "l00086" name = "l00086" > < / a > < span class = "lineno" > 86< / span > totals, inputs, blocks, extra, lsize_x, lid_x);< / div >
< div class = "line" > < a id = "l00087" name = "l00087" > < / a > < span class = "lineno" > 87< / span > }< / div >
< / div >
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< div class = "line" > < a id = "l00088" name = "l00088" > < / a > < span class = "lineno" > 88< / span > < / div >
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< div class = "line" > < a id = "l00092" name = "l00092" > < / a > < span class = "lineno" > 92< / span > < span class = "keyword" > template< / span > < < / div >
< div class = "line" > < a id = "l00093" name = "l00093" > < / a > < span class = "lineno" > 93< / span > < span class = "keyword" > typename< / span > T,< / div >
< div class = "line" > < a id = "l00094" name = "l00094" > < / a > < span class = "lineno" > 94< / span > < span class = "keyword" > typename< / span > U,< / div >
< div class = "line" > < a id = "l00095" name = "l00095" > < / a > < span class = "lineno" > 95< / span > < span class = "keyword" > typename< / span > Op,< / div >
< div class = "line" > < a id = "l00096" name = "l00096" > < / a > < span class = "lineno" > 96< / span > < span class = "keywordtype" > int< / span > N_READS = < a class = "code hl_variable" href = "defines_8h.html#a2ad505864a2ab786147766900bc18c21" > REDUCE_N_READS< / a > ,< / div >
< div class = "line" > < a id = "l00097" name = "l00097" > < / a > < span class = "lineno" > 97< / span > < span class = "keywordtype" > int< / span > N_WRITES = < a class = "code hl_variable" href = "defines_8h.html#a68c33274e15a2f163f7631a36280d82f" > REDUCE_N_WRITES< / a > > < / div >
< div class = "foldopen" id = "foldopen00098" data-start = "{" data-end = "}" >
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< div class = "line" > < a id = "l00098" name = "l00098" > < / a > < span class = "lineno" > < a class = "line" href = "reduce__row_8h.html#aee3cf6c55bc9a6d0046030f7dfd26e6b" > 98< / a > < / span > METAL_FUNC < span class = "keywordtype" > void< / span > < a class = "code hl_function" href = "reduce__row_8h.html#a9d5e0049a2276f43702fc6907e74a35f" > per_thread_row_reduce< / a > (< / div >
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< div class = "line" > < a id = "l00099" name = "l00099" > < / a > < span class = "lineno" > 99< / span > thread U totals[N_WRITES],< / div >
< div class = "line" > < a id = "l00100" name = "l00100" > < / a > < span class = "lineno" > 100< / span > < span class = "keyword" > const< / span > device T* in,< / div >
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< div class = "line" > < a id = "l00101" name = "l00101" > < / a > < span class = "lineno" > 101< / span > < span class = "keyword" > const< / span > int64_t row_idx,< / div >
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< div class = "line" > < a id = "l00102" name = "l00102" > < / a > < span class = "lineno" > 102< / span > < span class = "keywordtype" > int< / span > blocks,< / div >
< div class = "line" > < a id = "l00103" name = "l00103" > < / a > < span class = "lineno" > 103< / span > < span class = "keywordtype" > int< / span > extra,< / div >
< div class = "line" > < a id = "l00104" name = "l00104" > < / a > < span class = "lineno" > 104< / span > < span class = "keyword" > const< / span > constant < span class = "keywordtype" > int< / span > * shape,< / div >
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< div class = "line" > < a id = "l00105" name = "l00105" > < / a > < span class = "lineno" > 105< / span > < span class = "keyword" > const< / span > constant int64_t* strides,< / div >
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< div class = "line" > < a id = "l00106" name = "l00106" > < / a > < span class = "lineno" > 106< / span > < span class = "keyword" > const< / span > constant < span class = "keywordtype" > int< / span > & ndim,< / div >
< div class = "line" > < a id = "l00107" name = "l00107" > < / a > < span class = "lineno" > 107< / span > uint lsize_x,< / div >
< div class = "line" > < a id = "l00108" name = "l00108" > < / a > < span class = "lineno" > 108< / span > uint lid_x) {< / div >
< div class = "line" > < a id = "l00109" name = "l00109" > < / a > < span class = "lineno" > 109< / span > < span class = "comment" > // Set up the input pointers< / span > < / div >
< div class = "line" > < a id = "l00110" name = "l00110" > < / a > < span class = "lineno" > 110< / span > < span class = "keyword" > const< / span > device T* inputs[N_WRITES];< / div >
< div class = "line" > < a id = "l00111" name = "l00111" > < / a > < span class = "lineno" > 111< / span > in += lid_x * N_READS;< / div >
< div class = "line" > < a id = "l00112" name = "l00112" > < / a > < span class = "lineno" > 112< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < N_READS; i++) {< / div >
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< div class = "line" > < a id = "l00113" name = "l00113" > < / a > < span class = "lineno" > 113< / span > inputs[i] = in + < a class = "code hl_function" href = "backend_2metal_2kernels_2utils_8h.html#a497dd9f1a00c8a4303d8782158a0812a" > elem_to_loc< / a > (row_idx + i, shape, strides, ndim);< / div >
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< 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 > < / div >
< div class = "line" > < a id = "l00116" name = "l00116" > < / a > < span class = "lineno" > 116< / span > < a class = "code hl_function" href = "reduce__row_8h.html#a9d5e0049a2276f43702fc6907e74a35f" > per_thread_row_reduce< T, U, Op, N_READS, N_WRITES> < / a > (< / div >
< div class = "line" > < a id = "l00117" name = "l00117" > < / a > < span class = "lineno" > 117< / span > totals, inputs, blocks, extra, lsize_x, lid_x);< / div >
< div class = "line" > < a id = "l00118" name = "l00118" > < / a > < span class = "lineno" > 118< / span > }< / div >
< / 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 class = "line" > < a id = "l00123" name = "l00123" > < / a > < span class = "lineno" > 123< / span > < span class = "keyword" > template< / span > < < / div >
< div class = "line" > < a id = "l00124" name = "l00124" > < / a > < span class = "lineno" > 124< / span > < span class = "keyword" > typename< / span > T,< / div >
< div class = "line" > < a id = "l00125" name = "l00125" > < / a > < span class = "lineno" > 125< / span > < span class = "keyword" > typename< / span > U,< / div >
< div class = "line" > < a id = "l00126" name = "l00126" > < / a > < span class = "lineno" > 126< / span > < span class = "keyword" > typename< / span > Op,< / div >
< div class = "line" > < a id = "l00127" name = "l00127" > < / a > < span class = "lineno" > 127< / span > < span class = "keywordtype" > int< / span > N_READS = < a class = "code hl_variable" href = "defines_8h.html#a2ad505864a2ab786147766900bc18c21" > REDUCE_N_READS< / a > ,< / div >
< div class = "line" > < a id = "l00128" name = "l00128" > < / a > < span class = "lineno" > 128< / span > < span class = "keywordtype" > int< / span > N_WRITES = < a class = "code hl_variable" href = "defines_8h.html#a68c33274e15a2f163f7631a36280d82f" > REDUCE_N_WRITES< / a > > < / div >
< div class = "foldopen" id = "foldopen00129" data-start = "{" data-end = "}" >
< div class = "line" > < a id = "l00129" name = "l00129" > < / a > < span class = "lineno" > < a class = "line" href = "reduce__row_8h.html#aa146bb611069fd2892f03714fd1cc3cf" > 129< / a > < / span > METAL_FUNC < span class = "keywordtype" > void< / span > < a class = "code hl_function" href = "reduce__row_8h.html#aa146bb611069fd2892f03714fd1cc3cf" > threadgroup_reduce< / a > (< / div >
< div class = "line" > < a id = "l00130" name = "l00130" > < / a > < span class = "lineno" > 130< / span > thread U totals[N_WRITES],< / div >
< div class = "line" > < a id = "l00131" name = "l00131" > < / a > < span class = "lineno" > 131< / span > threadgroup U* shared_vals,< / div >
< div class = "line" > < a id = "l00132" name = "l00132" > < / a > < span class = "lineno" > 132< / span > uint3 lid [[thread_position_in_threadgroup]],< / div >
< div class = "line" > < a id = "l00133" name = "l00133" > < / a > < span class = "lineno" > 133< / span > uint simd_lane_id [[thread_index_in_simdgroup]],< / div >
< div class = "line" > < a id = "l00134" name = "l00134" > < / a > < span class = "lineno" > 134< / span > uint simd_per_group [[simdgroups_per_threadgroup]],< / div >
< div class = "line" > < a id = "l00135" name = "l00135" > < / a > < span class = "lineno" > 135< / span > uint simd_group_id [[simdgroup_index_in_threadgroup]]) {< / div >
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< div class = "line" > < a id = "l00136" name = "l00136" > < / a > < span class = "lineno" > 136< / span > Op op;< / div >
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< div class = "line" > < a id = "l00137" name = "l00137" > < / a > < span class = "lineno" > 137< / span > < / div >
< div class = "line" > < a id = "l00138" name = "l00138" > < / a > < span class = "lineno" > 138< / span > < span class = "comment" > // Simdgroup first< / span > < / div >
< div class = "line" > < a id = "l00139" name = "l00139" > < / a > < span class = "lineno" > 139< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < N_WRITES; i++) {< / div >
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< div class = "line" > < a id = "l00140" name = "l00140" > < / a > < span class = "lineno" > 140< / span > totals[i] = op.simd_reduce(totals[i]);< / div >
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< div class = "line" > < a id = "l00141" name = "l00141" > < / a > < span class = "lineno" > 141< / span > }< / 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" > // Across simdgroups< / span > < / div >
< div class = "line" > < a id = "l00144" name = "l00144" > < / a > < span class = "lineno" > 144< / span > < span class = "keywordflow" > if< / span > (simd_per_group > 1) {< / div >
< div class = "line" > < a id = "l00145" name = "l00145" > < / a > < span class = "lineno" > 145< / span > < span class = "keywordflow" > if< / span > (simd_lane_id == 0) {< / div >
< div class = "line" > < a id = "l00146" name = "l00146" > < / a > < span class = "lineno" > 146< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < N_WRITES; i++) {< / div >
< div class = "line" > < a id = "l00147" name = "l00147" > < / a > < span class = "lineno" > 147< / span > shared_vals[simd_group_id * N_WRITES + i] = totals[i];< / div >
< div class = "line" > < a id = "l00148" name = "l00148" > < / a > < span class = "lineno" > 148< / span > }< / div >
< div class = "line" > < a id = "l00149" name = "l00149" > < / a > < span class = "lineno" > 149< / span > }< / div >
< div class = "line" > < a id = "l00150" name = "l00150" > < / a > < span class = "lineno" > 150< / span > threadgroup_barrier(mem_flags::mem_threadgroup);< / div >
< div class = "line" > < a id = "l00151" name = "l00151" > < / a > < span class = "lineno" > 151< / span > < / div >
< div class = "line" > < a id = "l00152" name = "l00152" > < / a > < span class = "lineno" > 152< / span > U values[N_WRITES];< / 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_WRITES; i++) {< / div >
< div class = "line" > < a id = "l00154" name = "l00154" > < / a > < span class = "lineno" > 154< / span > values[i] = (lid.x < simd_per_group) ? shared_vals[lid.x * N_WRITES + i]< / div >
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< div class = "line" > < a id = "l00155" name = "l00155" > < / a > < span class = "lineno" > 155< / span > : op.init;< / div >
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< 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 > < / div >
< div class = "line" > < a id = "l00158" name = "l00158" > < / a > < span class = "lineno" > 158< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < N_WRITES; i++) {< / div >
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< div class = "line" > < a id = "l00159" name = "l00159" > < / a > < span class = "lineno" > 159< / span > totals[i] = op.simd_reduce(values[i]);< / div >
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< div class = "line" > < a id = "l00160" name = "l00160" > < / a > < span class = "lineno" > 160< / span > }< / div >
< div class = "line" > < a id = "l00161" name = "l00161" > < / a > < span class = "lineno" > 161< / span > }< / div >
< div class = "line" > < a id = "l00162" name = "l00162" > < / a > < span class = "lineno" > 162< / span > }< / div >
< / div >
< div class = "line" > < a id = "l00163" name = "l00163" > < / a > < span class = "lineno" > 163< / span > < / div >
< div class = "line" > < a id = "l00164" name = "l00164" > < / a > < span class = "lineno" > 164< / 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 = "line" > < a id = "l00165" name = "l00165" > < / a > < span class = "lineno" > 165< / span > METAL_FUNC < span class = "keywordtype" > void< / span > < / div >
< div class = "foldopen" id = "foldopen00166" data-start = "{" data-end = "}" >
< div class = "line" > < a id = "l00166" name = "l00166" > < / a > < span class = "lineno" > < a class = "line" href = "reduce__row_8h.html#afd80a25fa84e6cc884dcc8698859ade1" > 166< / a > < / span > < a class = "code hl_function" href = "reduce__row_8h.html#afd80a25fa84e6cc884dcc8698859ade1" > thread_reduce< / a > (thread U& total, < span class = "keyword" > const< / span > device T* row, < span class = "keywordtype" > int< / span > blocks, < span class = "keywordtype" > int< / span > extra) {< / div >
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< div class = "line" > < a id = "l00167" name = "l00167" > < / a > < span class = "lineno" > 167< / span > Op op;< / div >
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< div class = "line" > < a id = "l00168" name = "l00168" > < / a > < span class = "lineno" > 168< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < blocks; i++) {< / div >
< div class = "line" > < a id = "l00169" name = "l00169" > < / a > < span class = "lineno" > 169< / span > U vals[N_READS];< / 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 > j = 0; j < N_READS; j++) {< / div >
< div class = "line" > < a id = "l00171" name = "l00171" > < / a > < span class = "lineno" > 171< / span > vals[j] = row[j];< / div >
< div class = "line" > < a id = "l00172" name = "l00172" > < / a > < span class = "lineno" > 172< / span > }< / div >
< div class = "line" > < a id = "l00173" name = "l00173" > < / a > < span class = "lineno" > 173< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > j = 0; j < N_READS; j++) {< / div >
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< div class = "line" > < a id = "l00174" name = "l00174" > < / a > < span class = "lineno" > 174< / span > total = op(vals[j], total);< / div >
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< 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 > row += N_READS;< / div >
< div class = "line" > < a id = "l00177" name = "l00177" > < / a > < span class = "lineno" > 177< / span > }< / div >
< div class = "line" > < a id = "l00178" name = "l00178" > < / a > < span class = "lineno" > 178< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < extra; i++) {< / div >
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< div class = "line" > < a id = "l00179" name = "l00179" > < / a > < span class = "lineno" > 179< / span > total = op(*row++, total);< / div >
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< div class = "line" > < a id = "l00180" name = "l00180" > < / a > < span class = "lineno" > 180< / span > }< / div >
< div class = "line" > < a id = "l00181" name = "l00181" > < / a > < span class = "lineno" > 181< / span > }< / div >
< / div >
< div class = "line" > < a id = "l00182" name = "l00182" > < / a > < span class = "lineno" > 182< / span > < / div >
< div class = "line" > < a id = "l00183" name = "l00183" > < / a > < span class = "lineno" > 183< / span > < span class = "comment" > // Reduction kernels< / span > < / div >
< div class = "line" > < a id = "l00184" name = "l00184" > < / a > < span class = "lineno" > 184< / span > < span class = "comment" > // - `row_reduce_small` depending on the non-row reductions and row size it< / span > < / div >
< div class = "line" > < a id = "l00185" name = "l00185" > < / a > < span class = "lineno" > 185< / span > < span class = "comment" > // either just loops over everything or a simd collaboratively reduces the< / span > < / div >
< div class = "line" > < a id = "l00186" name = "l00186" > < / a > < span class = "lineno" > 186< / span > < span class = "comment" > // non_row reductions. In the first case one thread is responsible for one< / span > < / div >
< div class = "line" > < a id = "l00187" name = "l00187" > < / a > < span class = "lineno" > 187< / span > < span class = "comment" > // output on the 2nd one simd is responsible for one output.< / span > < / div >
< div class = "line" > < a id = "l00188" name = "l00188" > < / a > < span class = "lineno" > 188< / span > < span class = "comment" > // - `row_reduce_simple` simple contiguous row reduction< / span > < / div >
< div class = "line" > < a id = "l00189" name = "l00189" > < / a > < span class = "lineno" > 189< / span > < span class = "comment" > // - `row_reduce_looped` simply loop and reduce each row for each non-row< / span > < / div >
< div class = "line" > < a id = "l00190" name = "l00190" > < / a > < span class = "lineno" > 190< / span > < span class = "comment" > // reduction. One threadgroup is responsible for one output.< / span > < / div >
< div class = "line" > < a id = "l00191" name = "l00191" > < / a > < span class = "lineno" > 191< / span > < / div >
< div class = "line" > < a id = "l00192" name = "l00192" > < / a > < span class = "lineno" > 192< / span > < span class = "keyword" > template< / span > < < / div >
< div class = "line" > < a id = "l00193" name = "l00193" > < / a > < span class = "lineno" > 193< / span > < span class = "keyword" > typename< / span > T,< / div >
< div class = "line" > < a id = "l00194" name = "l00194" > < / a > < span class = "lineno" > 194< / span > < span class = "keyword" > typename< / span > U,< / div >
< div class = "line" > < a id = "l00195" name = "l00195" > < / a > < span class = "lineno" > 195< / span > < span class = "keyword" > typename< / span > Op,< / div >
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< div class = "line" > < a id = "l00196" name = "l00196" > < / a > < span class = "lineno" > 196< / span > < span class = "keyword" > typename< / span > IdxT,< / div >
< div class = "line" > < a id = "l00197" name = "l00197" > < / a > < span class = "lineno" > 197< / span > < span class = "keywordtype" > int< / span > NDIMS,< / div >
< div class = "line" > < a id = "l00198" name = "l00198" > < / a > < span class = "lineno" > 198< / span > < span class = "keywordtype" > int< / span > N_READS = < a class = "code hl_variable" href = "defines_8h.html#a2ad505864a2ab786147766900bc18c21" > REDUCE_N_READS< / a > > < / div >
< div class = "foldopen" id = "foldopen00199" data-start = "{" data-end = "}" >
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< div class = "line" > < a id = "l00199" name = "l00199" > < / a > < span class = "lineno" > < a class = "line" href = "reduce__row_8h.html#a1e1b59fa73d2b0be978494a759f2c6ee" > 199< / a > < / span > [[kernel]] < span class = "keywordtype" > void< / span > < a class = "code hl_function" href = "reduce__row_8h.html#a1e1b59fa73d2b0be978494a759f2c6ee" > row_reduce_small< / a > (< / div >
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< div class = "line" > < a id = "l00200" name = "l00200" > < / a > < span class = "lineno" > 200< / span > < span class = "keyword" > const< / span > device T* in [[buffer(0)]],< / div >
< div class = "line" > < a id = "l00201" name = "l00201" > < / a > < span class = "lineno" > 201< / span > device U* out [[buffer(1)]],< / div >
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< div class = "line" > < a id = "l00202" name = "l00202" > < / a > < span class = "lineno" > 202< / span > < span class = "keyword" > const< / span > constant int64_t& row_size [[buffer(2)]],< / div >
< div class = "line" > < a id = "l00203" name = "l00203" > < / a > < span class = "lineno" > 203< / span > < span class = "keyword" > const< / span > constant int64_t& non_row_reductions [[buffer(3)]],< / div >
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< div class = "line" > < a id = "l00204" name = "l00204" > < / a > < span class = "lineno" > 204< / span > < span class = "keyword" > const< / span > constant < span class = "keywordtype" > int< / span > * shape [[buffer(4)]],< / div >
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< div class = "line" > < a id = "l00205" name = "l00205" > < / a > < span class = "lineno" > 205< / span > < span class = "keyword" > const< / span > constant int64_t* strides [[buffer(5)]],< / div >
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< div class = "line" > < a id = "l00206" name = "l00206" > < / a > < span class = "lineno" > 206< / span > < span class = "keyword" > const< / span > constant < span class = "keywordtype" > int< / span > & ndim [[buffer(6)]],< / div >
< div class = "line" > < a id = "l00207" name = "l00207" > < / a > < span class = "lineno" > 207< / span > < span class = "keyword" > const< / span > constant < span class = "keywordtype" > int< / span > * reduce_shape [[buffer(7)]],< / div >
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< div class = "line" > < a id = "l00208" name = "l00208" > < / a > < span class = "lineno" > 208< / span > < span class = "keyword" > const< / span > constant int64_t* reduce_strides [[buffer(8)]],< / div >
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< div class = "line" > < a id = "l00209" name = "l00209" > < / a > < span class = "lineno" > 209< / span > < span class = "keyword" > const< / span > constant < span class = "keywordtype" > int< / span > & reduce_ndim [[buffer(9)]],< / div >
< div class = "line" > < a id = "l00210" name = "l00210" > < / a > < span class = "lineno" > 210< / span > uint simd_lane_id [[thread_index_in_simdgroup]],< / div >
< div class = "line" > < a id = "l00211" name = "l00211" > < / a > < span class = "lineno" > 211< / span > uint3 gid [[threadgroup_position_in_grid]],< / div >
< div class = "line" > < a id = "l00212" name = "l00212" > < / a > < span class = "lineno" > 212< / span > uint3 gsize [[threadgroups_per_grid]],< / div >
< div class = "line" > < a id = "l00213" name = "l00213" > < / a > < span class = "lineno" > 213< / span > uint3 tid [[thread_position_in_grid]],< / div >
< div class = "line" > < a id = "l00214" name = "l00214" > < / a > < span class = "lineno" > 214< / span > uint3 tsize [[threads_per_grid]]) {< / div >
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< div class = "line" > < a id = "l00215" name = "l00215" > < / a > < span class = "lineno" > 215< / span > Op op;< / div >
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< div class = "line" > < a id = "l00216" name = "l00216" > < / a > < span class = "lineno" > 216< / span > < / div >
< div class = "line" > < a id = "l00217" name = "l00217" > < / a > < span class = "lineno" > 217< / span > U total_val = Op::init;< / div >
< div class = "line" > < a id = "l00218" name = "l00218" > < / a > < span class = "lineno" > 218< / span > < a class = "code hl_struct" href = "struct_looped_elem_to_loc.html" > LoopedElemToLoc< / a > < NDIMS, IdxT, (NDIMS > 2)> loop(reduce_ndim);< / div >
< div class = "line" > < a id = "l00219" name = "l00219" > < / a > < span class = "lineno" > 219< / span > < / div >
< div class = "line" > < a id = "l00220" name = "l00220" > < / a > < span class = "lineno" > 220< / span > < span class = "comment" > // Precompute some row reduction numbers< / span > < / div >
< div class = "line" > < a id = "l00221" name = "l00221" > < / a > < span class = "lineno" > 221< / span > < span class = "keyword" > const< / span > device T* row;< / div >
< div class = "line" > < a id = "l00222" name = "l00222" > < / a > < span class = "lineno" > 222< / span > < span class = "keywordtype" > int< / span > blocks = IdxT(row_size) / N_READS;< / div >
< div class = "line" > < a id = "l00223" name = "l00223" > < / a > < span class = "lineno" > 223< / span > < span class = "keywordtype" > int< / span > extra = IdxT(row_size) % N_READS;< / div >
< div class = "line" > < a id = "l00224" name = "l00224" > < / a > < span class = "lineno" > 224< / span > < / div >
< div class = "line" > < a id = "l00225" name = "l00225" > < / a > < span class = "lineno" > 225< / span > < span class = "keywordflow" > if< / span > ((non_row_reductions < 32 & & row_size < = 8) || non_row_reductions < = 8) {< / div >
< div class = "line" > < a id = "l00226" name = "l00226" > < / a > < span class = "lineno" > 226< / span > < span class = "comment" > // Simple loop over non_row_reductions and reduce the row in the thread.< / span > < / div >
< div class = "line" > < a id = "l00227" name = "l00227" > < / a > < span class = "lineno" > 227< / span > IdxT out_idx = tid.x + tsize.y * IdxT(tid.y);< / div >
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< div class = "line" > < a id = "l00228" name = "l00228" > < / a > < span class = "lineno" > 228< / span > in += < a class = "code hl_function" href = "backend_2metal_2kernels_2utils_8h.html#a497dd9f1a00c8a4303d8782158a0812a" > elem_to_loc< IdxT> < / a > (out_idx, shape, strides, ndim);< / div >
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< div class = "line" > < a id = "l00229" name = "l00229" > < / a > < span class = "lineno" > 229< / span > < / div >
< div class = "line" > < a id = "l00230" name = "l00230" > < / a > < span class = "lineno" > 230< / span > < span class = "keywordflow" > for< / span > (uint r = 0; r < non_row_reductions; r++) {< / div >
< div class = "line" > < a id = "l00231" name = "l00231" > < / a > < span class = "lineno" > 231< / span > row = in + loop.location();< / div >
< div class = "line" > < a id = "l00232" name = "l00232" > < / a > < span class = "lineno" > 232< / span > < a class = "code hl_function" href = "reduce__row_8h.html#afd80a25fa84e6cc884dcc8698859ade1" > thread_reduce< T, U, Op, N_READS> < / a > (total_val, row, blocks, extra);< / div >
< div class = "line" > < a id = "l00233" name = "l00233" > < / a > < span class = "lineno" > 233< / span > loop.next(reduce_shape, reduce_strides);< / div >
< div class = "line" > < a id = "l00234" name = "l00234" > < / a > < span class = "lineno" > 234< / span > }< / div >
< div class = "line" > < a id = "l00235" name = "l00235" > < / a > < span class = "lineno" > 235< / span > < / div >
< div class = "line" > < a id = "l00236" name = "l00236" > < / a > < span class = "lineno" > 236< / span > out[out_idx] = total_val;< / div >
< div class = "line" > < a id = "l00237" name = "l00237" > < / a > < span class = "lineno" > 237< / span > } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a id = "l00238" name = "l00238" > < / a > < span class = "lineno" > 238< / span > < span class = "comment" > // Collaboratively reduce over non_row_reductions in the simdgroup. Each< / span > < / div >
< div class = "line" > < a id = "l00239" name = "l00239" > < / a > < span class = "lineno" > 239< / span > < span class = "comment" > // thread reduces every 32nd row and then a simple simd reduce.< / span > < / div >
< div class = "line" > < a id = "l00240" name = "l00240" > < / a > < span class = "lineno" > 240< / span > IdxT out_idx = gid.y + gsize.y * IdxT(gid.z);< / div >
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< div class = "line" > < a id = "l00241" name = "l00241" > < / a > < span class = "lineno" > 241< / span > in += < a class = "code hl_function" href = "backend_2metal_2kernels_2utils_8h.html#a497dd9f1a00c8a4303d8782158a0812a" > elem_to_loc< IdxT> < / a > (out_idx, shape, strides, ndim);< / div >
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< div class = "line" > < a id = "l00242" name = "l00242" > < / a > < span class = "lineno" > 242< / span > < / div >
< div class = "line" > < a id = "l00243" name = "l00243" > < / a > < span class = "lineno" > 243< / span > loop.next(simd_lane_id, reduce_shape, reduce_strides);< / div >
< div class = "line" > < a id = "l00244" name = "l00244" > < / a > < span class = "lineno" > 244< / span > < / div >
< div class = "line" > < a id = "l00245" name = "l00245" > < / a > < span class = "lineno" > 245< / span > < span class = "keywordflow" > for< / span > (uint r = simd_lane_id; r < non_row_reductions; r += < a class = "code hl_variable" href = "backend_2metal_2kernels_2reduction_2ops_8h.html#a515b75d563a93d3c09ee677948dc83e3" > simd_size< / a > ) {< / div >
< div class = "line" > < a id = "l00246" name = "l00246" > < / a > < span class = "lineno" > 246< / span > row = in + loop.location();< / div >
< div class = "line" > < a id = "l00247" name = "l00247" > < / a > < span class = "lineno" > 247< / span > < a class = "code hl_function" href = "reduce__row_8h.html#afd80a25fa84e6cc884dcc8698859ade1" > thread_reduce< T, U, Op, N_READS> < / a > (total_val, row, blocks, extra);< / div >
< div class = "line" > < a id = "l00248" name = "l00248" > < / a > < span class = "lineno" > 248< / span > loop.next(< a class = "code hl_variable" href = "backend_2metal_2kernels_2reduction_2ops_8h.html#a515b75d563a93d3c09ee677948dc83e3" > simd_size< / a > , reduce_shape, reduce_strides);< / div >
< div class = "line" > < a id = "l00249" name = "l00249" > < / a > < span class = "lineno" > 249< / span > }< / div >
< 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 > total_val = op.simd_reduce(total_val);< / div >
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< div class = "line" > < a id = "l00252" name = "l00252" > < / a > < span class = "lineno" > 252< / span > < / div >
< div class = "line" > < a id = "l00253" name = "l00253" > < / a > < span class = "lineno" > 253< / span > < span class = "keywordflow" > if< / span > (simd_lane_id == 0) {< / div >
< div class = "line" > < a id = "l00254" name = "l00254" > < / a > < span class = "lineno" > 254< / span > out[out_idx] = total_val;< / div >
< div class = "line" > < a id = "l00255" name = "l00255" > < / a > < span class = "lineno" > 255< / span > }< / div >
< div class = "line" > < a id = "l00256" name = "l00256" > < / a > < span class = "lineno" > 256< / span > }< / div >
< div class = "line" > < a id = "l00257" name = "l00257" > < / a > < span class = "lineno" > 257< / span > }< / div >
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< / div >
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< div class = "line" > < a id = "l00258" name = "l00258" > < / a > < span class = "lineno" > 258< / span > < / div >
< div class = "line" > < a id = "l00259" name = "l00259" > < / a > < span class = "lineno" > 259< / span > < span class = "keyword" > template< / span > < < / div >
< div class = "line" > < a id = "l00260" name = "l00260" > < / a > < span class = "lineno" > 260< / span > < span class = "keyword" > typename< / span > T,< / div >
< div class = "line" > < a id = "l00261" name = "l00261" > < / a > < span class = "lineno" > 261< / span > < span class = "keyword" > typename< / span > U,< / div >
< div class = "line" > < a id = "l00262" name = "l00262" > < / a > < span class = "lineno" > 262< / span > < span class = "keyword" > typename< / span > Op,< / div >
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< div class = "line" > < a id = "l00263" name = "l00263" > < / a > < span class = "lineno" > 263< / span > < span class = "keyword" > typename< / span > IdxT = int64_t,< / div >
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< div class = "line" > < a id = "l00264" name = "l00264" > < / a > < span class = "lineno" > 264< / span > < span class = "keywordtype" > int< / span > N_READS = < a class = "code hl_variable" href = "defines_8h.html#a2ad505864a2ab786147766900bc18c21" > REDUCE_N_READS< / a > ,< / div >
< div class = "line" > < a id = "l00265" name = "l00265" > < / a > < span class = "lineno" > 265< / span > < span class = "keywordtype" > int< / span > N_WRITES = < a class = "code hl_variable" href = "defines_8h.html#a68c33274e15a2f163f7631a36280d82f" > REDUCE_N_WRITES< / a > > < / div >
< div class = "foldopen" id = "foldopen00266" data-start = "{" data-end = "}" >
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< div class = "line" > < a id = "l00266" name = "l00266" > < / a > < span class = "lineno" > < a class = "line" href = "reduce__row_8h.html#a7dbd7cc81b1ce5a4271d56b99ce595d4" > 266< / a > < / span > [[kernel]] < span class = "keywordtype" > void< / span > < a class = "code hl_function" href = "reduce__row_8h.html#a7dbd7cc81b1ce5a4271d56b99ce595d4" > row_reduce_simple< / a > (< / div >
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< div class = "line" > < a id = "l00267" name = "l00267" > < / a > < span class = "lineno" > 267< / span > < span class = "keyword" > const< / span > device T* in [[buffer(0)]],< / div >
< div class = "line" > < a id = "l00268" name = "l00268" > < / a > < span class = "lineno" > 268< / span > device U* out [[buffer(1)]],< / div >
< div class = "line" > < a id = "l00269" name = "l00269" > < / a > < span class = "lineno" > 269< / 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 = "l00270" name = "l00270" > < / a > < span class = "lineno" > 270< / span > < span class = "keyword" > const< / span > constant int64_t& out_size [[buffer(3)]],< / div >
2024-11-23 04:24:16 +08:00
< div class = "line" > < a id = "l00271" name = "l00271" > < / a > < span class = "lineno" > 271< / span > uint3 gid [[threadgroup_position_in_grid]],< / div >
< div class = "line" > < a id = "l00272" name = "l00272" > < / a > < span class = "lineno" > 272< / span > uint3 gsize [[threadgroups_per_grid]],< / div >
< div class = "line" > < a id = "l00273" name = "l00273" > < / a > < span class = "lineno" > 273< / span > uint3 lid [[thread_position_in_threadgroup]],< / div >
< div class = "line" > < a id = "l00274" name = "l00274" > < / a > < span class = "lineno" > 274< / span > uint3 lsize [[threads_per_threadgroup]],< / div >
< div class = "line" > < a id = "l00275" name = "l00275" > < / a > < span class = "lineno" > 275< / span > uint simd_lane_id [[thread_index_in_simdgroup]],< / div >
< div class = "line" > < a id = "l00276" name = "l00276" > < / a > < span class = "lineno" > 276< / span > uint simd_per_group [[simdgroups_per_threadgroup]],< / div >
< div class = "line" > < a id = "l00277" name = "l00277" > < / a > < span class = "lineno" > 277< / span > uint simd_group_id [[simdgroup_index_in_threadgroup]]) {< / div >
< div class = "line" > < a id = "l00278" name = "l00278" > < / a > < span class = "lineno" > 278< / span > threadgroup U shared_vals[< a class = "code hl_variable" href = "backend_2metal_2kernels_2reduction_2ops_8h.html#a515b75d563a93d3c09ee677948dc83e3" > simd_size< / a > * N_WRITES];< / div >
< div class = "line" > < a id = "l00279" name = "l00279" > < / a > < span class = "lineno" > 279< / span > U totals[N_WRITES];< / div >
< div class = "line" > < a id = "l00280" name = "l00280" > < / a > < span class = "lineno" > 280< / span > < / div >
< div class = "line" > < a id = "l00281" name = "l00281" > < / a > < span class = "lineno" > 281< / span > < span class = "comment" > // Move to the row< / span > < / div >
< div class = "line" > < a id = "l00282" name = "l00282" > < / a > < span class = "lineno" > 282< / span > IdxT out_idx = N_WRITES * (gid.y + gsize.y * IdxT(gid.z));< / div >
< div class = "line" > < a id = "l00283" name = "l00283" > < / a > < span class = "lineno" > 283< / span > < span class = "keywordflow" > if< / span > (out_idx + N_WRITES > out_size) {< / div >
< div class = "line" > < a id = "l00284" name = "l00284" > < / a > < span class = "lineno" > 284< / span > out_idx = out_size - N_WRITES;< / div >
< div class = "line" > < a id = "l00285" name = "l00285" > < / a > < span class = "lineno" > 285< / span > }< / div >
< div class = "line" > < a id = "l00286" name = "l00286" > < / a > < span class = "lineno" > 286< / span > in += out_idx * IdxT(reduction_size);< / div >
< div class = "line" > < a id = "l00287" name = "l00287" > < / a > < span class = "lineno" > 287< / span > out += out_idx;< / div >
< div class = "line" > < a id = "l00288" name = "l00288" > < / a > < span class = "lineno" > 288< / span > < / div >
< div class = "line" > < a id = "l00289" name = "l00289" > < / a > < span class = "lineno" > 289< / span > < span class = "comment" > // Each thread reduces across the row< / span > < / div >
< div class = "line" > < a id = "l00290" name = "l00290" > < / a > < span class = "lineno" > 290< / span > < span class = "keywordtype" > int< / span > blocks = IdxT(reduction_size) / (lsize.x * N_READS);< / div >
< div class = "line" > < a id = "l00291" name = "l00291" > < / a > < span class = "lineno" > 291< / span > < span class = "keywordtype" > int< / span > extra = reduction_size - blocks * (lsize.x * N_READS);< / div >
< div class = "line" > < a id = "l00292" name = "l00292" > < / a > < span class = "lineno" > 292< / span > < a class = "code hl_function" href = "reduce__row_8h.html#a9d5e0049a2276f43702fc6907e74a35f" > per_thread_row_reduce< T, U, Op, N_READS, N_WRITES> < / a > (< / div >
< div class = "line" > < a id = "l00293" name = "l00293" > < / a > < span class = "lineno" > 293< / span > totals, in, reduction_size, blocks, extra, lsize.x, lid.x);< / div >
< div class = "line" > < a id = "l00294" name = "l00294" > < / a > < span class = "lineno" > 294< / span > < / div >
< div class = "line" > < a id = "l00295" name = "l00295" > < / a > < span class = "lineno" > 295< / span > < span class = "comment" > // Reduce across the threadgroup< / span > < / div >
< div class = "line" > < a id = "l00296" name = "l00296" > < / a > < span class = "lineno" > 296< / span > < a class = "code hl_function" href = "reduce__row_8h.html#aa146bb611069fd2892f03714fd1cc3cf" > threadgroup_reduce< T, U, Op, N_READS, N_WRITES> < / a > (< / div >
< div class = "line" > < a id = "l00297" name = "l00297" > < / a > < span class = "lineno" > 297< / span > totals, shared_vals, lid, simd_lane_id, simd_per_group, simd_group_id);< / div >
< div class = "line" > < a id = "l00298" name = "l00298" > < / a > < span class = "lineno" > 298< / span > < / div >
< div class = "line" > < a id = "l00299" name = "l00299" > < / a > < span class = "lineno" > 299< / span > < span class = "comment" > // Write the output< / span > < / div >
< div class = "line" > < a id = "l00300" name = "l00300" > < / a > < span class = "lineno" > 300< / span > < span class = "keywordflow" > if< / span > (lid.x == 0) {< / div >
< div class = "line" > < a id = "l00301" name = "l00301" > < / a > < span class = "lineno" > 301< / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < N_WRITES; i++) {< / div >
< div class = "line" > < a id = "l00302" name = "l00302" > < / a > < span class = "lineno" > 302< / span > out[i] = totals[i];< / div >
< div class = "line" > < a id = "l00303" name = "l00303" > < / a > < span class = "lineno" > 303< / span > }< / div >
< div class = "line" > < a id = "l00304" name = "l00304" > < / a > < span class = "lineno" > 304< / span > }< / div >
< div class = "line" > < a id = "l00305" name = "l00305" > < / a > < span class = "lineno" > 305< / span > }< / div >
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< / div >
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< div class = "line" > < a id = "l00306" name = "l00306" > < / a > < span class = "lineno" > 306< / span > < / div >
< div class = "line" > < a id = "l00307" name = "l00307" > < / a > < span class = "lineno" > 307< / span > < span class = "keyword" > template< / span > < < / div >
< div class = "line" > < a id = "l00308" name = "l00308" > < / a > < span class = "lineno" > 308< / span > < span class = "keyword" > typename< / span > T,< / div >
< div class = "line" > < a id = "l00309" name = "l00309" > < / a > < span class = "lineno" > 309< / span > < span class = "keyword" > typename< / span > U,< / div >
< div class = "line" > < a id = "l00310" name = "l00310" > < / a > < span class = "lineno" > 310< / span > < span class = "keyword" > typename< / span > Op,< / div >
< div class = "line" > < a id = "l00311" name = "l00311" > < / a > < span class = "lineno" > 311< / span > < span class = "keyword" > typename< / span > IdxT,< / div >
< div class = "line" > < a id = "l00312" name = "l00312" > < / a > < span class = "lineno" > 312< / span > < span class = "keywordtype" > int< / span > NDIMS,< / div >
< div class = "line" > < a id = "l00313" name = "l00313" > < / a > < span class = "lineno" > 313< / span > < span class = "keywordtype" > int< / span > N_READS = < a class = "code hl_variable" href = "defines_8h.html#a2ad505864a2ab786147766900bc18c21" > REDUCE_N_READS< / a > > < / div >
< div class = "foldopen" id = "foldopen00314" data-start = "{" data-end = "}" >
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< div class = "line" > < a id = "l00314" name = "l00314" > < / a > < span class = "lineno" > < a class = "line" href = "reduce__row_8h.html#a72611b8006ae5642b69f4d250d69865b" > 314< / a > < / span > [[kernel]] < span class = "keywordtype" > void< / span > < a class = "code hl_function" href = "reduce__row_8h.html#a72611b8006ae5642b69f4d250d69865b" > row_reduce_looped< / a > (< / div >
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< div class = "line" > < a id = "l00315" name = "l00315" > < / a > < span class = "lineno" > 315< / span > < span class = "keyword" > const< / span > device T* in [[buffer(0)]],< / div >
< div class = "line" > < a id = "l00316" name = "l00316" > < / a > < span class = "lineno" > 316< / span > device U* out [[buffer(1)]],< / div >
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< div class = "line" > < a id = "l00317" name = "l00317" > < / a > < span class = "lineno" > 317< / span > < span class = "keyword" > const< / span > constant int64_t& row_size [[buffer(2)]],< / div >
< div class = "line" > < a id = "l00318" name = "l00318" > < / a > < span class = "lineno" > 318< / span > < span class = "keyword" > const< / span > constant int64_t& non_row_reductions [[buffer(3)]],< / div >
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< div class = "line" > < a id = "l00319" name = "l00319" > < / a > < span class = "lineno" > 319< / span > < span class = "keyword" > const< / span > constant < span class = "keywordtype" > int< / span > * shape [[buffer(4)]],< / div >
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< div class = "line" > < a id = "l00320" name = "l00320" > < / a > < span class = "lineno" > 320< / span > < span class = "keyword" > const< / span > constant int64_t* strides [[buffer(5)]],< / div >
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< div class = "line" > < a id = "l00321" name = "l00321" > < / a > < span class = "lineno" > 321< / span > < span class = "keyword" > const< / span > constant < span class = "keywordtype" > int< / span > & ndim [[buffer(6)]],< / div >
< div class = "line" > < a id = "l00322" name = "l00322" > < / a > < span class = "lineno" > 322< / span > < span class = "keyword" > const< / span > constant < span class = "keywordtype" > int< / span > * reduce_shape [[buffer(7)]],< / div >
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< div class = "line" > < a id = "l00323" name = "l00323" > < / a > < span class = "lineno" > 323< / span > < span class = "keyword" > const< / span > constant int64_t* reduce_strides [[buffer(8)]],< / div >
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< div class = "line" > < a id = "l00324" name = "l00324" > < / a > < span class = "lineno" > 324< / span > < span class = "keyword" > const< / span > constant < span class = "keywordtype" > int< / span > & reduce_ndim [[buffer(9)]],< / div >
< div class = "line" > < a id = "l00325" name = "l00325" > < / a > < span class = "lineno" > 325< / span > uint3 gid [[threadgroup_position_in_grid]],< / div >
< div class = "line" > < a id = "l00326" name = "l00326" > < / a > < span class = "lineno" > 326< / span > uint3 gsize [[threadgroups_per_grid]],< / div >
< div class = "line" > < a id = "l00327" name = "l00327" > < / a > < span class = "lineno" > 327< / span > uint3 lid [[thread_position_in_threadgroup]],< / div >
< div class = "line" > < a id = "l00328" name = "l00328" > < / a > < span class = "lineno" > 328< / span > uint3 lsize [[threads_per_threadgroup]],< / div >
< div class = "line" > < a id = "l00329" name = "l00329" > < / a > < span class = "lineno" > 329< / span > uint simd_lane_id [[thread_index_in_simdgroup]],< / div >
< div class = "line" > < a id = "l00330" name = "l00330" > < / a > < span class = "lineno" > 330< / span > uint simd_per_group [[simdgroups_per_threadgroup]],< / div >
< div class = "line" > < a id = "l00331" name = "l00331" > < / a > < span class = "lineno" > 331< / span > uint simd_group_id [[simdgroup_index_in_threadgroup]]) {< / div >
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< div class = "line" > < a id = "l00332" name = "l00332" > < / a > < span class = "lineno" > 332< / span > Op op;< / div >
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< div class = "line" > < a id = "l00333" name = "l00333" > < / a > < span class = "lineno" > 333< / span > threadgroup U shared_vals[< a class = "code hl_variable" href = "backend_2metal_2kernels_2reduction_2ops_8h.html#a515b75d563a93d3c09ee677948dc83e3" > simd_size< / a > ];< / div >
< div class = "line" > < a id = "l00334" name = "l00334" > < / a > < span class = "lineno" > 334< / span > U total = Op::init;< / div >
< div class = "line" > < a id = "l00335" name = "l00335" > < / a > < span class = "lineno" > 335< / span > < / div >
< div class = "line" > < a id = "l00336" name = "l00336" > < / a > < span class = "lineno" > 336< / span > IdxT out_idx = gid.y + gsize.y * IdxT(gid.z);< / div >
< div class = "line" > < a id = "l00337" name = "l00337" > < / a > < span class = "lineno" > 337< / span > < / div >
< div class = "line" > < a id = "l00338" name = "l00338" > < / a > < span class = "lineno" > 338< / span > < span class = "comment" > // lid.x * N_READS breaks the per_thread_row_reduce interface a bit. Maybe it< / span > < / div >
< div class = "line" > < a id = "l00339" name = "l00339" > < / a > < span class = "lineno" > 339< / span > < span class = "comment" > // needs a small refactor.< / span > < / div >
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< div class = "line" > < a id = "l00340" name = "l00340" > < / a > < span class = "lineno" > 340< / span > in += < a class = "code hl_function" href = "backend_2metal_2kernels_2utils_8h.html#a497dd9f1a00c8a4303d8782158a0812a" > elem_to_loc< IdxT> < / a > (out_idx, shape, strides, ndim) + lid.x * N_READS;< / div >
< div class = "line" > < a id = "l00341" name = "l00341" > < / a > < span class = "lineno" > 341< / span > < / div >
< div class = "line" > < a id = "l00342" name = "l00342" > < / a > < span class = "lineno" > 342< / span > < a class = "code hl_struct" href = "struct_looped_elem_to_loc.html" > LoopedElemToLoc< / a > < NDIMS, IdxT, (NDIMS > 2)> loop(reduce_ndim);< / div >
< div class = "line" > < a id = "l00343" name = "l00343" > < / a > < span class = "lineno" > 343< / span > < span class = "keyword" > const< / span > device T* row;< / div >
< div class = "line" > < a id = "l00344" name = "l00344" > < / a > < span class = "lineno" > 344< / span > < span class = "keywordtype" > int< / span > blocks = IdxT(row_size) / (lsize.x * N_READS);< / div >
< div class = "line" > < a id = "l00345" name = "l00345" > < / a > < span class = "lineno" > 345< / span > < span class = "keywordtype" > int< / span > extra = row_size - blocks * (lsize.x * N_READS);< / div >
< div class = "line" > < a id = "l00346" name = "l00346" > < / a > < span class = "lineno" > 346< / span > < / div >
< div class = "line" > < a id = "l00347" name = "l00347" > < / a > < span class = "lineno" > 347< / span > < span class = "keywordflow" > for< / span > (IdxT i = 0; i < non_row_reductions; i++) {< / div >
< div class = "line" > < a id = "l00348" name = "l00348" > < / a > < span class = "lineno" > 348< / span > row = in + loop.location();< / div >
< div class = "line" > < a id = "l00349" name = "l00349" > < / a > < span class = "lineno" > 349< / span > < / div >
< div class = "line" > < a id = "l00350" name = "l00350" > < / a > < span class = "lineno" > 350< / span > < span class = "comment" > // Each thread reduces across the row< / span > < / div >
< div class = "line" > < a id = "l00351" name = "l00351" > < / a > < span class = "lineno" > 351< / span > U row_total;< / div >
< div class = "line" > < a id = "l00352" name = "l00352" > < / a > < span class = "lineno" > 352< / span > < a class = "code hl_function" href = "reduce__row_8h.html#a9d5e0049a2276f43702fc6907e74a35f" > per_thread_row_reduce< T, U, Op, N_READS, 1> < / a > (< / div >
< div class = "line" > < a id = "l00353" name = "l00353" > < / a > < span class = "lineno" > 353< / span > & row_total, & row, blocks, extra, lsize.x, lid.x);< / div >
< div class = "line" > < a id = "l00354" name = "l00354" > < / a > < span class = "lineno" > 354< / span > < / div >
< div class = "line" > < a id = "l00355" name = "l00355" > < / a > < span class = "lineno" > 355< / span > < span class = "comment" > // Aggregate across rows< / span > < / div >
< div class = "line" > < a id = "l00356" name = "l00356" > < / a > < span class = "lineno" > 356< / span > total = op(total, row_total);< / div >
< div class = "line" > < a id = "l00357" name = "l00357" > < / a > < span class = "lineno" > 357< / span > < / div >
< div class = "line" > < a id = "l00358" name = "l00358" > < / a > < span class = "lineno" > 358< / span > loop.next(reduce_shape, reduce_strides);< / div >
< div class = "line" > < a id = "l00359" name = "l00359" > < / a > < span class = "lineno" > 359< / span > }< / div >
< div class = "line" > < a id = "l00360" name = "l00360" > < / a > < span class = "lineno" > 360< / span > < / div >
< div class = "line" > < a id = "l00361" name = "l00361" > < / a > < span class = "lineno" > 361< / span > < span class = "comment" > // Reduce across the threadgroup< / span > < / div >
< div class = "line" > < a id = "l00362" name = "l00362" > < / a > < span class = "lineno" > 362< / span > < a class = "code hl_function" href = "reduce__row_8h.html#aa146bb611069fd2892f03714fd1cc3cf" > threadgroup_reduce< T, U, Op, N_READS, 1> < / a > (< / div >
< div class = "line" > < a id = "l00363" name = "l00363" > < / a > < span class = "lineno" > 363< / span > & total, shared_vals, lid, simd_lane_id, simd_per_group, simd_group_id);< / div >
< div class = "line" > < a id = "l00364" name = "l00364" > < / a > < span class = "lineno" > 364< / span > < / div >
< div class = "line" > < a id = "l00365" name = "l00365" > < / a > < span class = "lineno" > 365< / span > < span class = "comment" > // Write the output< / span > < / div >
< div class = "line" > < a id = "l00366" name = "l00366" > < / a > < span class = "lineno" > 366< / span > < span class = "keywordflow" > if< / span > (lid.x == 0) {< / div >
< div class = "line" > < a id = "l00367" name = "l00367" > < / a > < span class = "lineno" > 367< / span > out[out_idx] = total;< / div >
< div class = "line" > < a id = "l00368" name = "l00368" > < / a > < span class = "lineno" > 368< / span > }< / div >
< div class = "line" > < a id = "l00369" name = "l00369" > < / a > < span class = "lineno" > 369< / span > }< / div >
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< / div >
< 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:22< / div > < / div >
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< div class = "ttc" id = "abackend_2metal_2kernels_2utils_8h_html_a497dd9f1a00c8a4303d8782158a0812a" > < div class = "ttname" > < a href = "backend_2metal_2kernels_2utils_8h.html#a497dd9f1a00c8a4303d8782158a0812a" > elem_to_loc< / a > < / div > < div class = "ttdeci" > METAL_FUNC IdxT elem_to_loc(IdxT elem, constant const int *shape, constant const int64_t *strides, int ndim)< / div > < div class = "ttdef" > < b > Definition< / b > utils.h:93< / div > < / div >
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< div class = "ttc" id = "adefines_8h_html_a2ad505864a2ab786147766900bc18c21" > < div class = "ttname" > < a href = "defines_8h.html#a2ad505864a2ab786147766900bc18c21" > REDUCE_N_READS< / a > < / div > < div class = "ttdeci" > static constexpr int REDUCE_N_READS< / div > < div class = "ttdef" > < b > Definition< / b > defines.h:12< / div > < / div >
< div class = "ttc" id = "adefines_8h_html_a68c33274e15a2f163f7631a36280d82f" > < div class = "ttname" > < a href = "defines_8h.html#a68c33274e15a2f163f7631a36280d82f" > REDUCE_N_WRITES< / a > < / div > < div class = "ttdeci" > static constexpr int REDUCE_N_WRITES< / div > < div class = "ttdef" > < b > Definition< / b > defines.h:13< / div > < / div >
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< div class = "ttc" id = "areduce__row_8h_html_a1e1b59fa73d2b0be978494a759f2c6ee" > < div class = "ttname" > < a href = "reduce__row_8h.html#a1e1b59fa73d2b0be978494a759f2c6ee" > row_reduce_small< / a > < / div > < div class = "ttdeci" > void row_reduce_small(const device T *in, device U *out, const constant int64_t & row_size, const constant int64_t & non_row_reductions, const constant int *shape, const constant int64_t *strides, const constant int & ndim, const constant int *reduce_shape, const constant int64_t *reduce_strides, const constant int & reduce_ndim, uint simd_lane_id, uint3 gid, uint3 gsize, uint3 tid, uint3 tsize)< / div > < div class = "ttdef" > < b > Definition< / b > reduce_row.h:199< / div > < / div >
< div class = "ttc" id = "areduce__row_8h_html_a72611b8006ae5642b69f4d250d69865b" > < div class = "ttname" > < a href = "reduce__row_8h.html#a72611b8006ae5642b69f4d250d69865b" > row_reduce_looped< / a > < / div > < div class = "ttdeci" > void row_reduce_looped(const device T *in, device U *out, const constant int64_t & row_size, const constant int64_t & non_row_reductions, const constant int *shape, const constant int64_t *strides, const constant int & ndim, const constant int *reduce_shape, const constant int64_t *reduce_strides, const constant int & reduce_ndim, uint3 gid, uint3 gsize, uint3 lid, uint3 lsize, uint simd_lane_id, uint simd_per_group, uint simd_group_id)< / div > < div class = "ttdef" > < b > Definition< / b > reduce_row.h:314< / div > < / div >
< div class = "ttc" id = "areduce__row_8h_html_a7dbd7cc81b1ce5a4271d56b99ce595d4" > < div class = "ttname" > < a href = "reduce__row_8h.html#a7dbd7cc81b1ce5a4271d56b99ce595d4" > row_reduce_simple< / a > < / div > < div class = "ttdeci" > void row_reduce_simple(const device T *in, device U *out, const constant size_t & reduction_size, const constant int64_t & out_size, uint3 gid, uint3 gsize, uint3 lid, uint3 lsize, uint simd_lane_id, uint simd_per_group, uint simd_group_id)< / div > < div class = "ttdef" > < b > Definition< / b > reduce_row.h:266< / div > < / div >
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< div class = "ttc" id = "areduce__row_8h_html_a9d5e0049a2276f43702fc6907e74a35f" > < div class = "ttname" > < a href = "reduce__row_8h.html#a9d5e0049a2276f43702fc6907e74a35f" > per_thread_row_reduce< / a > < / div > < div class = "ttdeci" > METAL_FUNC void per_thread_row_reduce(thread U totals[N_WRITES], const device T *inputs[N_WRITES], int blocks, int extra, uint lsize_x, uint lid_x)< / div > < div class = "ttdoc" > The thread group collaboratively reduces across the rows with bounds checking.< / div > < div class = "ttdef" > < b > Definition< / b > reduce_row.h:19< / div > < / div >
< div class = "ttc" id = "areduce__row_8h_html_aa146bb611069fd2892f03714fd1cc3cf" > < div class = "ttname" > < a href = "reduce__row_8h.html#aa146bb611069fd2892f03714fd1cc3cf" > threadgroup_reduce< / a > < / div > < div class = "ttdeci" > METAL_FUNC void threadgroup_reduce(thread U totals[N_WRITES], threadgroup U *shared_vals, uint3 lid, uint simd_lane_id, uint simd_per_group, uint simd_group_id)< / div > < div class = "ttdoc" > Reduce within the threadgroup.< / div > < div class = "ttdef" > < b > Definition< / b > reduce_row.h:129< / div > < / div >
< div class = "ttc" id = "areduce__row_8h_html_afd80a25fa84e6cc884dcc8698859ade1" > < div class = "ttname" > < a href = "reduce__row_8h.html#afd80a25fa84e6cc884dcc8698859ade1" > thread_reduce< / a > < / div > < div class = "ttdeci" > METAL_FUNC void thread_reduce(thread U & total, const device T *row, int blocks, int extra)< / div > < div class = "ttdef" > < b > Definition< / b > reduce_row.h:166< / div > < / div >
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< div class = "ttc" id = "astruct_looped_elem_to_loc_html" > < div class = "ttname" > < a href = "struct_looped_elem_to_loc.html" > LoopedElemToLoc< / a > < / div > < div class = "ttdef" > < b > Definition< / b > utils.h:197< / div > < / div >
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