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metal : optimize softmax
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@ -2285,6 +2285,7 @@ static bool ggml_metal_graph_compute(
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const int64_t nqptg = 8; // queries per threadgroup !! sync with kernel template arguments !!
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const int64_t ncpsg = 32; // cache values per simdgroup !! sync with kernel template arguments !!
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GGML_ASSERT(nqptg <= 32);
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GGML_ASSERT(nqptg % 8 == 0);
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GGML_ASSERT(ncpsg % 32 == 0);
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@ -2188,6 +2188,8 @@ kernel void kernel_flash_attn_ext_f16(
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// online softmax
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if (C == 32) {
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half ms[Q];
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for (int64_t j = 0; j < Q; ++j) {
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const int64_t p = tiisg;
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@ -2197,20 +2199,22 @@ kernel void kernel_flash_attn_ext_f16(
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smax = simd_max(max(smax, s));
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M[j] = simd_max(max(M[j], s));
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const half ms = m == -INFINITY ? 0.0h : exp(m - M[j]);
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ms[j] = m == -INFINITY ? 0.0h : exp(m - M[j]);
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const half vs = s == -INFINITY ? 0.0h : exp(s - M[j]);
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S[j] = S[j]*ms + simd_sum(vs);
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// create a QxQ diagonal matrix for rescaling the output
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if (p == j) {
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ss[j*T + C + j] = ms;
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}
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S[j] = S[j]*ms[j] + simd_sum(vs);
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// the P matrix from the paper (Q rows, C columns)
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ss[j*T + p] = vs;
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}
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// create a QxQ diagonal matrix for rescaling the output
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if (tiisg < Q) {
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ss[tiisg*T + C + tiisg] = ms[tiisg];
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}
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} else {
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half ms[Q];
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for (int64_t j = 0; j < Q; ++j) {
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const half m = M[j];
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@ -2224,12 +2228,7 @@ kernel void kernel_flash_attn_ext_f16(
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smax = simd_max(smax);
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M[j] = simd_max(M[j]);
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const half ms = m == -INFINITY ? 0.0h : exp(m - M[j]);
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// create a QxQ diagonal matrix for rescaling the output
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if (tiisg == j) {
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ss[j*T + C + j] = ms;
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}
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ms[j] = m == -INFINITY ? 0.0h : exp(m - M[j]);
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// local sum
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half ls = 0.0h;
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@ -2245,7 +2244,12 @@ kernel void kernel_flash_attn_ext_f16(
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ss[j*T + p] = vs;
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}
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S[j] = S[j]*ms + simd_sum(ls);
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S[j] = S[j]*ms[j] + simd_sum(ls);
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}
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// create a QxQ diagonal matrix for rescaling the output
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if (tiisg < Q) {
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ss[tiisg*T + C + tiisg] = ms[tiisg];
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}
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}
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