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metal : minor Q4_0 optimization
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@ -1441,18 +1441,18 @@ kernel void kernel_group_norm(
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inline float block_q_n_dot_y(device const block_q4_0 * qb_curr, float sumy, thread float * yl, int il) {
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float d = qb_curr->d;
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float acc[4] = { 0.0f, 0.0f, 0.0f, 0.0f };
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float acc = -8.0f*sumy;
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device const uint16_t * qs = ((device const uint16_t *) qb_curr + 1 + il/2);
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for (int i = 0; i < 8; i += 2) {
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acc[0] += yl[i + 0] * (qs[i / 2] & 0x000F);
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acc[1] += yl[i + 1] * (qs[i / 2] & 0x0F00);
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acc[2] += yl[i + 8] * (qs[i / 2] & 0x00F0);
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acc[3] += yl[i + 9] * (qs[i / 2] & 0xF000);
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for (short i = 0; i < 4; ++i) {
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acc += yl[2*i + 0] * (qs[i] & 0x000F);
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acc += yl[2*i + 1] * (qs[i] & 0x0F00);
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acc += yl[2*i + 8] * (qs[i] & 0x00F0);
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acc += yl[2*i + 9] * (qs[i] & 0xF000);
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}
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return d * (sumy * -8.f + acc[0] + acc[1] + acc[2] + acc[3]);
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return d * acc;
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}
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// function for calculate inner product between half a q4_1 block and 16 floats (yl), sumy is SUM(yl[i])
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@ -1567,29 +1567,28 @@ void mul_vec_q_n_f32_impl(
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float yl[16]; // src1 vector cache
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float sumf[nr] = {0.f};
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const short ix = (tiisg/2);
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const short il = (tiisg%2)*8;
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const short ix = (tiisg%16);
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const short il = (tiisg/16)*8;
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device const float * yb = y + ix*QK4_0 + il;
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// each thread in a SIMD group deals with half a block.
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for (int ib = ix; ib < nb; ib += nw/2) {
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float sumy[2] = { 0.f, 0.f };
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float sumy = 0.0f;
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#pragma unroll
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#pragma unroll(4)
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for (int i = 0; i < 8; i += 2) {
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sumy[0] += yb[i + 0] + yb[i + 1];
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sumy += yb[i + 0] + yb[i + 1] + yb[i + 16] + yb[i + 17];
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yl[i + 0] = yb[i + 0];
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yl[i + 1] = yb[i + 1]/256.f;
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sumy[1] += yb[i + 16] + yb[i + 17];
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yl[i + 8] = yb[i + 16]/16.f;
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yl[i + 9] = yb[i + 17]/4096.f;
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}
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#pragma unroll
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for (int row = 0; row < nr; row++) {
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sumf[row] += block_q_n_dot_y(ax[row] + ib, sumy[0] + sumy[1], yl, il);
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#pragma unroll(nr)
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for (short row = 0; row < nr; row++) {
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sumf[row] += block_q_n_dot_y(ax[row] + ib, sumy, yl, il);
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}
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yb += QK4_0 * 16;
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@ -1597,7 +1596,7 @@ void mul_vec_q_n_f32_impl(
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device float * dst_f32 = (device float *) dst + im*args.ne0*args.ne1 + r1*args.ne0;
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for (int row = 0; row < nr; ++row) {
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for (short row = 0; row < nr; ++row) {
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const float tot = simd_sum(sumf[row]);
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if (tiisg == 0 && first_row + row < args.ne01) {
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