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// TODO: implement multi-simd softmax (llama.cpp commit e16b9fa4) | |
layout(local_size_x_id = 0) in; | |
layout(binding = 0) buffer restrict readonly tensorInA { float inA[]; }; | |
layout(binding = 1) buffer restrict readonly tensorInB { float inB[]; }; | |
layout(binding = 2) buffer restrict writeonly tensorOut { float out_[]; }; | |
layout(push_constant) uniform PushConstants { | |
uint inAOff; | |
uint inBOff; | |
uint outOff; | |
int ne00; | |
int ne01; | |
int ne02; | |
float scale; | |
int mask; | |
} pcs; | |
void main() { | |
if (gl_SubgroupInvocationID > 31) | |
return; | |
const uint i03 = gl_WorkGroupID.z; | |
const uint i02 = gl_WorkGroupID.y; | |
const uint i01 = gl_WorkGroupID.x; | |
const uint extra_off = i03*pcs.ne02*pcs.ne01*pcs.ne00 + i02*pcs.ne01*pcs.ne00 + i01*pcs.ne00; | |
const uint psrc0 = extra_off + pcs.inAOff; // Based from inA | |
const uint pmask = i01*pcs.ne00 + pcs.inBOff; // Based from inB | |
const uint pdst = extra_off + pcs.outOff; // Based from out_ | |
// parallel max | |
float localMax = uintBitsToFloat(0xFF800000); | |
for (uint i00 = gl_SubgroupInvocationID.x; i00 < pcs.ne00; i00 += 32) { | |
localMax = max(localMax, inA[psrc0 + i00]*pcs.scale + (pcs.mask!=0 ? inB[pmask + i00] : 0.0f)); | |
} | |
float max_ = subgroupMax(localMax); | |
// parallel sum | |
float localSum = 0.0f; | |
for (uint i00 = gl_SubgroupInvocationID.x; i00 < pcs.ne00; i00 += 32) { | |
const float exp_psrc0 = exp(inA[psrc0 + i00]*pcs.scale + (pcs.mask!=0 ? inB[pmask + i00] : 0.0f) - max_); | |
localSum += exp_psrc0; | |
out_[pdst + i00] = exp_psrc0; | |
} | |
const float sum = subgroupAdd(localSum); | |
for (uint i00 = gl_SubgroupInvocationID.x; i00 < pcs.ne00; i00 += 32) { | |
out_[pdst + i00] /= sum; | |
} | |
} | |