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Faster Q2_K on Metal (#2297)
* Faster Q2_K on Metal * Deleting unnoticed and dangereous trailing white space * Fixed bug in new metal Q2_K implementation --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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Kawrakow
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e68c96f7fe
@ -676,8 +676,8 @@ void ggml_metal_graph_compute(
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GGML_ASSERT(ne02 == 1);
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GGML_ASSERT(ne12 == 1);
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nth0 = 4;
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nth1 = 16;
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nth0 = 2;
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nth1 = 32;
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[encoder setComputePipelineState:ctx->pipeline_mul_mat_q2_K_f32];
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} break;
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case GGML_TYPE_Q3_K:
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@ -740,7 +740,7 @@ void ggml_metal_graph_compute(
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[encoder setBytes:&ne1 length:sizeof(ne1) atIndex:14];
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if (src0t == GGML_TYPE_Q4_0 || src0t == GGML_TYPE_Q4_1 ||
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src0t == GGML_TYPE_Q4_K) {
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src0t == GGML_TYPE_Q2_K || src0t == GGML_TYPE_Q4_K) {
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[encoder dispatchThreadgroups:MTLSizeMake((ne01 + 7) / 8, ne11, 1) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)];
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}
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else if (src0t == GGML_TYPE_Q5_K) {
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@ -749,8 +749,7 @@ void ggml_metal_graph_compute(
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else if (src0t == GGML_TYPE_Q6_K) {
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[encoder dispatchThreadgroups:MTLSizeMake((ne01+1)/2, ne11, 1) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)];
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}
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else if (src0t == GGML_TYPE_Q2_K ||
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src0t == GGML_TYPE_Q3_K) {
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else if (src0t == GGML_TYPE_Q3_K) {
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[encoder setThreadgroupMemoryLength:nth0*nth1*sizeof(float) atIndex:0];
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[encoder dispatchThreadgroups:MTLSizeMake(ne01, 1, 1) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)];
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} else {
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183
ggml-metal.metal
183
ggml-metal.metal
@ -1209,108 +1209,133 @@ kernel void kernel_mul_mat_q2_K_f32(
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constant int64_t & ne00,
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constant int64_t & ne10,
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constant int64_t & ne0,
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threadgroup float * sum [[threadgroup(0)]],
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constant int64_t & ne01[[buffer(4)]],
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uint2 tgpig[[threadgroup_position_in_grid]],
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uint2 tpitg[[thread_position_in_threadgroup]],
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uint2 tptg[[threads_per_threadgroup]]) {
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uint tiisg[[thread_index_in_simdgroup]],
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uint sgitg[[simdgroup_index_in_threadgroup]]) {
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const int nb = ne00/QK_K;
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const int r0 = tgpig.x;
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const int r1 = tgpig.y;
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const int64_t r0 = tgpig.x;
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const int64_t r1 = tgpig.y;
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const int first_row = (r0 * N_SIMDGROUP + sgitg) * N_DST;
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const int ib_row = first_row * nb;
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device const block_q2_K * x = (device const block_q2_K *) src0 + ib_row;
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device const float * y = (device const float *) src1 + r1*ne10;
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float yl[32];
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float sumf[N_DST]={0.f}, all_sum;
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device const block_q2_K * x = (device const block_q2_K *) src0 + r0*nb;
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device const float * yy = (device const float *) src1 + r1*ne10;
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const int nth = tptg.x*tptg.y;
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const int ith = tptg.y*tpitg.x + tpitg.y;
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float sumf = 0;
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const int step = sizeof(block_q2_K) * nb;
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#if QK_K == 256
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const int tid = tpitg.y; // 0...16
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const int il = tid/4; // 0...3
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const int ir = tid%4; // 0...3
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const int ip = il/2; // 0 or 1
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const int shift1 = 4*(il%2);// 0 or 4
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const int shift2 = shift1+2;// 2 or 6
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const int n = 8;
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const int is = 4*il + (n*ir)/16;
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const int ix = tiisg/8; // 0...3
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const int it = tiisg%8; // 0...7
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const int im = it/4; // 0 or 1
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const int ir = it%4; // 0...3
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const int is = (8*ir)/16;// 0 or 1
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const int y_offset = 64*il + n*ir;
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const int q_offset = 32*ip + n*ir;
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device const float * y4 = y + ix * QK_K + 128 * im + 8 * ir;
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for (int i = tpitg.x; i < nb; i += tptg.x) {
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for (int ib = ix; ib < nb; ib += 4) {
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device const uint8_t * q = x[i].qs + q_offset;
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device const uint8_t * scales = x[i].scales + is;
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uint8_t d1 = scales[0] & 0xF;
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uint8_t d2 = scales[2] & 0xF;
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uint8_t m1 = scales[0] >> 4;
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uint8_t m2 = scales[2] >> 4;
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device const float * y = yy + i*QK_K + y_offset;
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float2 s = {0.f, 0.f};
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float smin = 0;
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for (int l = 0; l < n; ++l) {
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s[0] += y[l+ 0] * ((q[l] >> shift1) & 3);
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s[1] += y[l+32] * ((q[l] >> shift2) & 3);
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smin += y[l+ 0] * m1 + y[l+32] * m2;
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float4 sumy = {0.f, 0.f, 0.f, 0.f};
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for (int i = 0; i < 8; ++i) {
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yl[i+ 0] = y4[i+ 0]; sumy[0] += yl[i+ 0];
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yl[i+ 8] = y4[i+32]; sumy[1] += yl[i+ 8];
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yl[i+16] = y4[i+64]; sumy[2] += yl[i+16];
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yl[i+24] = y4[i+96]; sumy[3] += yl[i+24];
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}
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const float dall = (float)x[i].d;
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const float dmin = (float)x[i].dmin;
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device const uint8_t * sc = (device const uint8_t *)x[ib].scales + 8*im + is;
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device const uint16_t * qs = (device const uint16_t *)x[ib].qs + 16 * im + 4 * ir;
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device const half * dh = &x[ib].d;
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sumf += dall * (s[0] * d1 + s[1] * d2) - dmin * smin;
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for (int row = 0; row < N_DST; row++) {
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float4 acc1 = {0.f, 0.f, 0.f, 0.f};
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float4 acc2 = {0.f, 0.f, 0.f, 0.f};
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for (int i = 0; i < 8; i += 2) {
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acc1[0] += yl[i+ 0] * (qs[i/2] & 0x0003);
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acc2[0] += yl[i+ 1] * (qs[i/2] & 0x0300);
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acc1[1] += yl[i+ 8] * (qs[i/2] & 0x000c);
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acc2[1] += yl[i+ 9] * (qs[i/2] & 0x0c00);
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acc1[2] += yl[i+16] * (qs[i/2] & 0x0030);
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acc2[2] += yl[i+17] * (qs[i/2] & 0x3000);
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acc1[3] += yl[i+24] * (qs[i/2] & 0x00c0);
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acc2[3] += yl[i+25] * (qs[i/2] & 0xc000);
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}
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float dall = dh[0];
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float dmin = dh[1] * 1.f/16.f;
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sumf[row] += dall * ((acc1[0] + 1.f/256.f * acc2[0]) * (sc[0] & 0xF) * 1.f/ 1.f +
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(acc1[1] + 1.f/256.f * acc2[1]) * (sc[2] & 0xF) * 1.f/ 4.f +
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(acc1[2] + 1.f/256.f * acc2[2]) * (sc[4] & 0xF) * 1.f/16.f +
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(acc1[3] + 1.f/256.f * acc2[3]) * (sc[6] & 0xF) * 1.f/64.f) -
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dmin * (sumy[0] * (sc[0] & 0xF0) + sumy[1] * (sc[2] & 0xF0) + sumy[2] * (sc[4] & 0xF0) + sumy[3] * (sc[6] & 0xF0));
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qs += step/2;
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sc += step;
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dh += step/2;
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}
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y4 += 4 * QK_K;
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}
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#else
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const int il = 4 * tpitg.x;
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const int ix = tiisg/2; // 0...15
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const int it = tiisg%2; // 0...1
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uint32_t aux[2];
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thread const uint8_t * d = (thread const uint8_t *)aux;
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thread const uint8_t * m = (thread const uint8_t *)aux + 4;
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device const float * y4 = y + ix * QK_K + 8 * it;
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for (int i = tpitg.y; i < nb; i += tptg.y) {
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for (int ib = ix; ib < nb; ib += 16) {
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device const uint8_t * q = x[i].qs + il;
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device const float * y = yy + i*QK_K + il;
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const float dall = (float)x[i].d;
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const float dmin = (float)x[i].dmin;
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device const uint32_t * a = (device const uint32_t *)x[i].scales;
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aux[0] = a[0] & 0x0f0f0f0f;
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aux[1] = (a[0] >> 4) & 0x0f0f0f0f;
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for (int l = 0; l < 4; ++l) {
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sumf += y[l+ 0] * (dall * d[0] * ((q[l] >> 0) & 3) - dmin * m[0])
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+ y[l+16] * (dall * d[1] * ((q[l] >> 2) & 3) - dmin * m[1])
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+ y[l+32] * (dall * d[2] * ((q[l] >> 4) & 3) - dmin * m[2])
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+ y[l+48] * (dall * d[3] * ((q[l] >> 6) & 3) - dmin * m[3]);
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float4 sumy = {0.f, 0.f, 0.f, 0.f};
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for (int i = 0; i < 8; ++i) {
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yl[i+ 0] = y4[i+ 0]; sumy[0] += yl[i+ 0];
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yl[i+ 8] = y4[i+16]; sumy[1] += yl[i+ 8];
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yl[i+16] = y4[i+32]; sumy[2] += yl[i+16];
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yl[i+24] = y4[i+48]; sumy[3] += yl[i+24];
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}
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device const uint8_t * sc = (device const uint8_t *)x[ib].scales;
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device const uint16_t * qs = (device const uint16_t *)x[ib].qs + 4 * it;
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device const half * dh = &x[ib].d;
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for (int row = 0; row < N_DST; row++) {
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float4 acc1 = {0.f, 0.f, 0.f, 0.f};
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float4 acc2 = {0.f, 0.f, 0.f, 0.f};
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for (int i = 0; i < 8; i += 2) {
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acc1[0] += yl[i+ 0] * (qs[i/2] & 0x0003);
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acc2[0] += yl[i+ 1] * (qs[i/2] & 0x0300);
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acc1[1] += yl[i+ 8] * (qs[i/2] & 0x000c);
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acc2[1] += yl[i+ 9] * (qs[i/2] & 0x0c00);
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acc1[2] += yl[i+16] * (qs[i/2] & 0x0030);
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acc2[2] += yl[i+17] * (qs[i/2] & 0x3000);
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acc1[3] += yl[i+24] * (qs[i/2] & 0x00c0);
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acc2[3] += yl[i+25] * (qs[i/2] & 0xc000);
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}
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float dall = dh[0];
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float dmin = dh[1];
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sumf[row] += dall * ((acc1[0] + 1.f/256.f * acc2[0]) * (sc[0] & 0xF) * 1.f/ 1.f +
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(acc1[1] + 1.f/256.f * acc2[1]) * (sc[1] & 0xF) * 1.f/ 4.f +
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(acc1[2] + 1.f/256.f * acc2[2]) * (sc[2] & 0xF) * 1.f/16.f +
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(acc1[3] + 1.f/256.f * acc2[3]) * (sc[3] & 0xF) * 1.f/64.f) -
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dmin * (sumy[0] * (sc[0] >> 4) + sumy[1] * (sc[1] >> 4) + sumy[2] * (sc[2] >> 4) + sumy[3] * (sc[3] >> 4));
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qs += step/2;
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sc += step;
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dh += step/2;
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}
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y4 += 16 * QK_K;
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}
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#endif
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sum[ith] = sumf;
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//
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// Accumulate the sum from all threads in the threadgroup
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//
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threadgroup_barrier(mem_flags::mem_threadgroup);
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if (ith%4 == 0) {
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for (int i = 1; i < 4; ++i) sum[ith] += sum[ith + i];
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}
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threadgroup_barrier(mem_flags::mem_threadgroup);
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if (ith%16 == 0) {
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for (int i = 4; i < 16; i += 4) sum[ith] += sum[ith + i];
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}
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threadgroup_barrier(mem_flags::mem_threadgroup);
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if (ith == 0) {
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for (int i = 16; i < nth; i += 16) sum[0] += sum[i];
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dst[r1*ne0 + r0] = sum[0];
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for (int row = 0; row < N_DST; ++row) {
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all_sum = simd_sum(sumf[row]);
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if (tiisg == 0) {
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dst[r1*ne0 + first_row + row] = all_sum;
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}
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}
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}
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