llama.cpp/ggml/src/ggml-kompute/kompute-shaders/op_mul_mat_q4_k.comp

#version 450

#include "common.comp"

#define N_DST 4
#define SIZE_OF_BLOCK sizeof_block_q4_k

layout(local_size_x = 4) in;
layout(local_size_y = 8) in;
layout(local_size_z = 1) in;

layout (binding = 0) readonly buffer tensorInA { block_q4_k inA[]; };
layout (binding = 1) readonly buffer tensorInB { float inB[]; };
layout (binding = 2) writeonly buffer tensorOut { float out_[]; };

layout (push_constant) uniform parameter {
    uint inAOff;
    uint inBOff;
    uint outOff;
    int ne00;
    int ne10;
    int ne0;
    int ne1;
    int ne01;
    int ne02;
    int ne12;
    int r2;
    int r3;
} pcs;

void main() {
    const uint16_t kmask1 = uint16_t(0x3f3f);
    const uint16_t kmask2 = uint16_t(0x0f0f);
    const uint16_t kmask3 = uint16_t(0xc0c0);

    const uint ix = gl_SubgroupInvocationID/8;  // 0...3
    const uint it = gl_SubgroupInvocationID%8;  // 0...7
    const uint iq = it/4;     // 0 or 1
    const uint ir = it%4;     // 0...3

    const uint nb = pcs.ne00/QK_K;

    const uint r0 = gl_WorkGroupID.x;
    const uint r1 = gl_WorkGroupID.y;
    const uint im = gl_WorkGroupID.z;

    const uint first_row = r0 * N_DST;
    const uint ib_row = first_row * nb;

    const uint i12 = im%pcs.ne12;
    const uint i13 = im/pcs.ne12;

    const uint offset0 = (i12/pcs.r2)*(nb*pcs.ne01) + (i13/pcs.r3)*(nb*pcs.ne01*pcs.ne02);

    const uint xblk = ib_row + offset0 + pcs.inAOff;
    const uint y = r1*pcs.ne10 + im*pcs.ne00*pcs.ne1 + pcs.inBOff;

    float yl[16];
    float yh[16];
    float sumf[N_DST] = {0.f, 0.f, 0.f, 0.f};
    float all_sum = 0.f;

    uint y4 = y + ix * QK_K + 64 * iq + 8 * ir;

    for (uint ib = ix; ib < nb; ib += 4) {
        const uint blk_idx = ib + xblk;

        float sumy[4] = {0.f, 0.f, 0.f, 0.f};
        for (int i = 0; i < 8; ++i) {
            yl[i+0] = inB[y4+i+  0]; sumy[0] += yl[i+0];
            yl[i+8] = inB[y4+i+ 32]; sumy[1] += yl[i+8];
            yh[i+0] = inB[y4+i+128]; sumy[2] += yh[i+0];
            yh[i+8] = inB[y4+i+160]; sumy[3] += yh[i+8];
        }

        for (int row = 0; row < N_DST; row++) {
            uint row_idx = row * nb;

            uint16_t sc_0 = u8BufToU16(inA[blk_idx + row_idx].scales, iq * 2 + 0);
            uint16_t sc_1 = u8BufToU16(inA[blk_idx + row_idx].scales, iq * 2 + 2);
            uint16_t sc_2 = u8BufToU16(inA[blk_idx + row_idx].scales, iq * 2 + 4);
            uint16_t sc_3 = u8BufToU16(inA[blk_idx + row_idx].scales, iq * 2 + 6);
            uint16_t sc_4 = u8BufToU16(inA[blk_idx + row_idx].scales, iq * 2 + 8);

            uint16_t sc16[4];
            sc16[0] = sc_0 & kmask1;
            sc16[1] = sc_2 & kmask1;
            sc16[2] = ((sc_4 >> 0) & kmask2) | ((sc_0 & kmask3) >> 2);
            sc16[3] = ((sc_4 >> 4) & kmask2) | ((sc_2 & kmask3) >> 2);

            float acc1[4] = {0.f, 0.f, 0.f, 0.f};
            float acc2[4] = {0.f, 0.f, 0.f, 0.f};
            for (int i = 0; i < 8; i += 2) {
                uint16_t q1 = u8BufToU16(inA[blk_idx + row_idx].qs, 32 * iq + 8 * ir + i);
                uint16_t q2 = u8BufToU16(inA[blk_idx + row_idx].qs, 64 + 32 * iq + 8 * ir + i);
                acc1[0] += yl[i+0] * (q1 & 0x000F);
                acc1[1] += yl[i+1] * (q1 & 0x0F00);
                acc1[2] += yl[i+8] * (q1 & 0x00F0);
                acc1[3] += yl[i+9] * (q1 & 0xF000);
                acc2[0] += yh[i+0] * (q2 & 0x000F);
                acc2[1] += yh[i+1] * (q2 & 0x0F00);
                acc2[2] += yh[i+8] * (q2 & 0x00F0);
                acc2[3] += yh[i+9] * (q2 & 0xF000);
            }

            uint8_t sc8_0 = uint8_t(sc16[0] & 0xFF);
            uint8_t sc8_1 = uint8_t(sc16[0] >> 8 );
            uint8_t sc8_2 = uint8_t(sc16[1] & 0xFF);
            uint8_t sc8_3 = uint8_t(sc16[1] >> 8 );
            uint8_t sc8_4 = uint8_t(sc16[2] & 0xFF);
            uint8_t sc8_5 = uint8_t(sc16[2] >> 8 );
            uint8_t sc8_6 = uint8_t(sc16[3] & 0xFF);
            uint8_t sc8_7 = uint8_t(sc16[3] >> 8 );

            float dall = float(inA[blk_idx + row_idx].d);
            float dmin = float(inA[blk_idx + row_idx].dmin);
            sumf[row] += dall * ((acc1[0] + 1.f/256.f * acc1[1]) * sc8_0 +
                               (acc1[2] + 1.f/256.f * acc1[3]) * sc8_1 * 1.f/16.f +
                               (acc2[0] + 1.f/256.f * acc2[1]) * sc8_4 +
                               (acc2[2] + 1.f/256.f * acc2[3]) * sc8_5 * 1.f/16.f) -
                dmin * (sumy[0] * sc8_2 + sumy[1] * sc8_3 + sumy[2] * sc8_6 + sumy[3] * sc8_7);
        }

        y4 += 4 * QK_K;
    }

    for (int row = 0; row < N_DST; ++row) {
        all_sum = subgroupAdd(sumf[row]);
        if (subgroupElect()) {
            out_[r1*pcs.ne0 + im*pcs.ne0*pcs.ne1 + first_row + row + pcs.outOff] = all_sum;
        }
    }
}