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https://github.com/ggerganov/llama.cpp.git
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e402de364b
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6369bf0433
@ -2204,11 +2204,7 @@ kernel void kernel_flash_attn_ext_f16(
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// pointer to the mask
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device const half * mp = (device const half *) (mask + iq1*nb31);
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// prepare diagonal scale matrix
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simdgroup_float8x8 mscale(scale);
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// prepare diagonal slope matrix
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simdgroup_float8x8 mslope(1.0f);
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float slope = 1.0f;
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// ALiBi
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if (max_bias > 0.0f) {
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@ -2217,7 +2213,7 @@ kernel void kernel_flash_attn_ext_f16(
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const float base = h < n_head_log2 ? m0 : m1;
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const int exph = h < n_head_log2 ? h + 1 : 2*(h - n_head_log2) + 1;
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mslope = simdgroup_float8x8(pow(base, exph));
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slope = pow(base, exph);
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}
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// loop over the KV cache
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@ -2242,18 +2238,20 @@ kernel void kernel_flash_attn_ext_f16(
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simdgroup_multiply_accumulate(mqk, mq[i], mk, mqk);
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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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if (mask != q) {
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// mqk = mqk*scale + mask*slope
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simdgroup_half8x8 mm;
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simdgroup_load(mm, mp + ic + 8*cc, nb31/sizeof(half), 0, false);
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simdgroup_multiply(mm, mslope, mm);
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simdgroup_multiply_accumulate(mqk, mqk, mscale, mm);
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ss[8*cc + ty*TF + 2*tx + 0] = scale*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] = scale*ss[8*cc + ty*TF + 2*tx + 1] + slope*mp[ic + 8*cc + ty*nb31/sizeof(half) + 2*tx + 1];
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} else {
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// mqk = mqk*scale
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simdgroup_multiply(mqk, mscale, mqk);
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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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}
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simdgroup_store(mqk, ss + 8*cc, TF, 0, false);
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}
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}
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@ -2816,8 +2814,7 @@ kernel void kernel_cpy_f32_f16(
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for (int64_t i00 = tpitg.x; i00 < ne00; i00 += ntg.x) {
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device const float * src = (device float *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00);
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// TODO: is there a better way to handle -INFINITY?
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dst_data[i00] = src[0] == -INFINITY ? -MAXHALF : src[0];
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dst_data[i00] = src[0];
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}
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}
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