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https://github.com/ggerganov/llama.cpp.git
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metal : separate scale and mask from QKT in FA kernel (#9189)
* metal : separate scale and mask from QKT in FA kernel * metal : ne01 check no longer necessary * metal : keep data in local memory
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@ -2261,24 +2261,6 @@ kernel void kernel_flash_attn_ext_f16(
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}
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simdgroup_store(mqk, ss + 8*cc, TF, 0, false);
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const short tx = tiisg%4;
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const short ty = tiisg/4;
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// mqk = mqk*scale
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ss[8*cc + ty*TF + 2*tx + 0] *= scale;
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ss[8*cc + ty*TF + 2*tx + 1] *= scale;
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if (logit_softcap != 0.0f) {
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ss[8*cc + ty*TF + 2*tx + 0] = logit_softcap*precise::tanh(ss[8*cc + ty*TF + 2*tx + 0]);
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ss[8*cc + ty*TF + 2*tx + 1] = logit_softcap*precise::tanh(ss[8*cc + ty*TF + 2*tx + 1]);
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}
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if (mask != q) {
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// mqk = mqk + mask*slope
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ss[8*cc + ty*TF + 2*tx + 0] += slope*mp[ic + 8*cc + ty*nb31/sizeof(half) + 2*tx + 0];
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ss[8*cc + ty*TF + 2*tx + 1] += slope*mp[ic + 8*cc + ty*nb31/sizeof(half) + 2*tx + 1];
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}
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}
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}
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@ -2290,10 +2272,19 @@ kernel void kernel_flash_attn_ext_f16(
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float ms[Q];
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for (short j = 0; j < Q; ++j) {
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const short p = tiisg;
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const float m = M[j];
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const float s = ss[j*TF + p];
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// scale and apply the logitcap / mask
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float s = ss[j*TF + tiisg]*scale;
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if (logit_softcap != 0.0f) {
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s = logit_softcap*precise::tanh(s);
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}
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if (mask != q) {
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// mqk = mqk + mask*slope
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s += slope*mp[ic + j*nb31/sizeof(half) + tiisg];
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}
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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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@ -2304,7 +2295,7 @@ kernel void kernel_flash_attn_ext_f16(
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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*TF + p] = vs;
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ss[j*TF + tiisg] = vs;
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}
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// create a QxQ diagonal matrix for rescaling the output
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