#version 450 #include "types.comp" #include "generic_unary_head.comp" #if defined(DATA_A_IQ4_NL) // 16 invocations needed for init_iq4nl_shmem layout(local_size_x = 16, local_size_y = 1, local_size_z = 1) in; #else layout(local_size_x = 1, local_size_y = 1, local_size_z = 1) in; #endif layout (binding = 0) readonly buffer S {float data_s[];}; layout (binding = 1) writeonly buffer Q {A_TYPE data_q[];}; #if defined(DATA_A_Q4_0) void quantize(uint dst_idx, uint src_idx) { float amax = 0.0; float vmax = 0.0; [[unroll]] for (int j = 0; j < QUANT_K_Q4_0; ++j) { const float v = data_s[src_idx + j]; if (amax < abs(v)) { amax = abs(v); vmax = v; } } const float d = vmax / -8; const float id = (d != 0.0) ? 1.0/d : 0.0; data_q[dst_idx].d = float16_t(d); [[unroll]] for (int j = 0; j < QUANT_K_Q4_0/2; ++j) { const float x0 = data_s[src_idx + 0 + j]*id; const float x1 = data_s[src_idx + QUANT_K_Q4_0/2 + j]*id; const uint xi0 = min(15, int(x0 + 8.5)); const uint xi1 = min(15, int(x1 + 8.5)); data_q[dst_idx].qs[j] = uint8_t(xi0 | (xi1 << 4)); } } #endif #if defined(DATA_A_Q4_1) void quantize(uint dst_idx, uint src_idx) { float vmin = 1.0/0.0; float vmax = -vmin; [[unroll]] for (int j = 0; j < QUANT_K_Q4_1; ++j) { const float v = data_s[src_idx + j]; if (v < vmin) vmin = v; if (v > vmax) vmax = v; } const float d = (vmax - vmin) / ((1 << 4) - 1); const float id = (d != 0.0) ? 1.0/d : 0.0; data_q[dst_idx].d = float16_t(d); data_q[dst_idx].m = float16_t(vmin); [[unroll]] for (int j = 0; j < QUANT_K_Q4_1/2; ++j) { const float x0 = (data_s[src_idx + 0 + j] - vmin)*id; const float x1 = (data_s[src_idx + QUANT_K_Q4_1/2 + j] - vmin)*id; const uint xi0 = min(15, int(x0 + 0.5)); const uint xi1 = min(15, int(x1 + 0.5)); data_q[dst_idx].qs[j] = uint8_t(xi0 | (xi1 << 4)); } } #endif #if defined(DATA_A_Q5_0) void quantize(uint dst_idx, uint src_idx) { float amax = 0.0; float vmax = 0.0; [[unroll]] for (int j = 0; j < QUANT_K_Q5_0; ++j) { const float v = data_s[src_idx + j]; if (amax < abs(v)) { amax = abs(v); vmax = v; } } const float d = vmax / -16; const float id = (d != 0.0) ? 1.0/d : 0.0; data_q[dst_idx].d = float16_t(d); uint32_t qh = 0; [[unroll]] for (int j = 0; j < QUANT_K_Q5_0/2; ++j) { const float x0 = data_s[src_idx + 0 + j]*id; const float x1 = data_s[src_idx + QUANT_K_Q5_0/2 + j]*id; const uint xi0 = min(31, int(x0 + 16.5)); const uint xi1 = min(31, int(x1 + 16.5)); data_q[dst_idx].qs[j] = uint8_t((xi0 & 0xf) | ((xi1 & 0xf) << 4)); qh |= ((xi0 & 0x10u) >> 4) << (j + 0); qh |= ((xi1 & 0x10u) >> 4) << (j + QUANT_K_Q5_0/2); } data_q[dst_idx].qh[0] = uint16_t(qh & 0xFFFF); data_q[dst_idx].qh[1] = uint16_t(qh >> 16); } #endif #if defined(DATA_A_Q5_1) void quantize(uint dst_idx, uint src_idx) { float min = data_s[src_idx + 0]; float max = min; [[unroll]] for (int j = 1; j < QUANT_K_Q5_1; ++j) { const float v = data_s[src_idx + j]; min = v < min ? v : min; max = v > max ? v : max; } const float d = (max - min) / 31; const float id = (d != 0) ? 1.0/d : 0.0; data_q[dst_idx].d = float16_t(d); data_q[dst_idx].m = float16_t(min); uint32_t qh = 0; [[unroll]] for (int j = 0; j < QUANT_K_Q5_1/2; ++j) { const float x0 = (data_s[src_idx + 0 + j] - min)*id; const float x1 = (data_s[src_idx + QUANT_K_Q5_1/2 + j] - min)*id; const uint xi0 = uint(x0 + 0.5); const uint xi1 = uint(x1 + 0.5); data_q[dst_idx].qs[j] = uint8_t((xi0 & 0xf) | ((xi1 & 0xf) << 4)); qh |= ((xi0 & 0x10u) >> 4) << (j + 0); qh |= ((xi1 & 0x10u) >> 4) << (j + QUANT_K_Q5_1/2); } data_q[dst_idx].qh = qh; } #endif #if defined(DATA_A_Q8_0) void quantize(uint dst_idx, uint src_idx) { float amax = 0.0; // absolute max [[unroll]] for (int j = 0; j < QUANT_K_Q8_0; j++) { const float v = data_s[src_idx + j]; amax = max(amax, abs(v)); } const float d = amax / ((1 << 7) - 1); const float id = (d != 0.0) ? 1.0/d : 0.0; data_q[dst_idx].d = float16_t(d); [[unroll]] for (int j = 0; j < QUANT_K_Q8_0; ++j) { const float x0 = data_s[src_idx + j]*id; data_q[dst_idx].qs[j] = int8_t(round(x0)); } } #endif #if defined(DATA_A_IQ4_NL) uint best_index(float x) { if (x <= kvalues_iq4nl[0]) return 0; if (x >= kvalues_iq4nl[15]) return 15; int ml = 0, mu = 15; while (mu-ml > 1) { int mav = (ml+mu)/2; if (x < kvalues_iq4nl[mav]) mu = mav; else ml = mav; } return x - kvalues_iq4nl[mu-1] < kvalues_iq4nl[mu] - x ? mu-1 : mu; } void quantize(uint dst_idx, uint src_idx) { float amax = 0.0; float vmax = 0.0; [[unroll]] for (int j = 0; j < QUANT_K_IQ4_NL; ++j) { const float v = data_s[src_idx + j]; if (amax < abs(v)) { amax = abs(v); vmax = v; } } float d = vmax / kvalues_iq4nl[0]; const float id = (d != 0.0) ? 1.0/d : 0.0; float sumqx = 0, sumq2 = 0; [[unroll]] for (int j = 0; j < QUANT_K_IQ4_NL/2; ++j) { const float x0 = data_s[src_idx + 0 + j]*id; const float x1 = data_s[src_idx + QUANT_K_IQ4_NL/2 + j]*id; const uint xi0 = best_index(x0); const uint xi1 = best_index(x1); data_q[dst_idx].qs[j] = uint8_t(xi0 | (xi1 << 4)); const float v0 = kvalues_iq4nl[xi0]; const float v1 = kvalues_iq4nl[xi1]; const float w0 = data_s[src_idx + 0 + j]*data_s[src_idx + 0 + j]; const float w1 = data_s[src_idx + QUANT_K_IQ4_NL/2 + j]*data_s[src_idx + QUANT_K_IQ4_NL/2 + j]; sumqx += w0*v0*data_s[src_idx + j] + w1*v1*data_s[src_idx + QUANT_K_IQ4_NL/2 + j]; sumq2 += w0*v0*v0 + w1*v1*v1; } data_q[dst_idx].d = float16_t(sumq2 > 0 ? sumqx/sumq2 : d); } #endif void main() { #if defined(DATA_A_IQ4_NL) init_iq4nl_shmem(); if (gl_LocalInvocationIndex.x != 0) { return; } #endif const uint idx = gl_WorkGroupID.z * 262144 + gl_WorkGroupID.y * 512 + gl_WorkGroupID.x * QUANT_K; if (idx >= p.ne) { return; } uint dst_idx = dst_idx_quant(idx, QUANT_K); uint src_idx = get_aoffset() + src0_idx(idx); quantize(dst_idx, src_idx); }