| 1 | #pragma once |
| 2 | |
| 3 | #include "ggml-common.h" |
| 4 | #include "convert.cuh" |
| 5 | |
| 6 | static __device__ __forceinline__ int best_index_int8(int n, const int8_t * val, float x) { |
| 7 | if (x <= val[0]) return 0; |
| 8 | if (x >= val[n-1]) return n-1; |
| 9 | int ml = 0, mu = n-1; |
| 10 | while (mu-ml > 1) { |
| 11 | int mav = (ml+mu)/2; |
| 12 | if (x < val[mav]) mu = mav; else ml = mav; |
| 13 | } |
| 14 | return x - val[mu-1] < val[mu] - x ? mu-1 : mu; |
| 15 | } |
| 16 | |
| 17 | static __device__ void quantize_f32_q4_0_block(const float * __restrict__ x, block_q4_0 * __restrict__ y) { |
| 18 | float amax = 0.0f; |
| 19 | float vmax = 0.0f; |
| 20 | |
| 21 | for (int j = 0; j < QK4_0; ++j) { |
| 22 | const float v = x[j]; |
| 23 | if (amax < fabsf(a: v)) { |
| 24 | amax = fabsf(a: v); |
| 25 | vmax = v; |
| 26 | } |
| 27 | } |
| 28 | |
| 29 | const float d = vmax / -8; |
| 30 | const float id = d ? 1.0f/d : 0.0f; |
| 31 | |
| 32 | y->d = d; |
| 33 | |
| 34 | for (int j = 0; j < QK4_0/2; ++j) { |
| 35 | const float x0 = x[0 + j]*id; |
| 36 | const float x1 = x[QK4_0/2 + j]*id; |
| 37 | |
| 38 | const uint8_t xi0 = min(a: 15, b: (int8_t)(x0 + 8.5f)); |
| 39 | const uint8_t xi1 = min(a: 15, b: (int8_t)(x1 + 8.5f)); |
| 40 | |
| 41 | y->qs[j] = xi0; |
| 42 | y->qs[j] |= xi1 << 4; |
| 43 | } |
| 44 | } |
| 45 | |
| 46 | static __device__ void quantize_f32_q4_1_block(const float * __restrict__ x, block_q4_1 * __restrict__ y) { |
| 47 | float vmin = FLT_MAX; |
| 48 | float vmax = -FLT_MAX; |
| 49 | |
| 50 | for (int j = 0; j < QK4_1; ++j) { |
| 51 | const float v = x[j]; |
| 52 | if (v < vmin) vmin = v; |
| 53 | if (v > vmax) vmax = v; |
| 54 | } |
| 55 | |
| 56 | const float d = (vmax - vmin) / ((1 << 4) - 1); |
| 57 | const float id = d ? 1.0f/d : 0.0f; |
| 58 | |
| 59 | y->dm.x = d; |
| 60 | y->dm.y = vmin; |
| 61 | |
| 62 | for (int j = 0; j < QK4_1/2; ++j) { |
| 63 | const float x0 = (x[0 + j] - vmin)*id; |
| 64 | const float x1 = (x[QK4_1/2 + j] - vmin)*id; |
| 65 | |
| 66 | const uint8_t xi0 = min(a: 15, b: (int8_t)(x0 + 0.5f)); |
| 67 | const uint8_t xi1 = min(a: 15, b: (int8_t)(x1 + 0.5f)); |
| 68 | |
| 69 | y->qs[j] = xi0; |
| 70 | y->qs[j] |= xi1 << 4; |
| 71 | } |
| 72 | } |
| 73 | |
| 74 | static __device__ void quantize_f32_q5_0_block(const float * __restrict__ x, block_q5_0 * __restrict__ y) { |
| 75 | float amax = 0.0f; |
| 76 | float vmax = 0.0f; |
| 77 | |
| 78 | for (int j = 0; j < QK5_0; ++j) { |
| 79 | const float v = x[j]; |
| 80 | if (amax < fabsf(a: v)) { |
| 81 | amax = fabsf(a: v); |
| 82 | vmax = v; |
| 83 | } |
| 84 | } |
| 85 | |
| 86 | const float d = vmax / -16; |
| 87 | const float id = d ? 1.0f/d : 0.0f; |
| 88 | |
| 89 | y->d = d; |
| 90 | |
| 91 | uint32_t qh = 0; |
| 92 | for (int j = 0; j < QK5_0/2; ++j) { |
| 93 | const float x0 = x[0 + j]*id; |
| 94 | const float x1 = x[QK5_0/2 + j]*id; |
| 95 | |
| 96 | const uint8_t xi0 = min(a: 31, b: (int8_t)(x0 + 16.5f)); |
| 97 | const uint8_t xi1 = min(a: 31, b: (int8_t)(x1 + 16.5f)); |
| 98 | |
| 99 | y->qs[j] = (xi0 & 0xf) | ((xi1 & 0xf) << 4); |
| 100 | qh |= ((xi0 & 0x10u) >> 4) << (j + 0); |
| 101 | qh |= ((xi1 & 0x10u) >> 4) << (j + QK5_0/2); |
| 102 | } |
| 103 | memcpy(y->qh, &qh, sizeof(qh)); |
| 104 | } |
| 105 | |
| 106 | static __device__ void quantize_f32_q5_1_block(const float * __restrict__ x, block_q5_1 * __restrict__ y) { |
| 107 | float min = x[0]; |
| 108 | float max = x[0]; |
| 109 | |
| 110 | for (int j = 1; j < QK5_1; ++j) { |
| 111 | const float v = x[j]; |
| 112 | min = v < min ? v : min; |
| 113 | max = v > max ? v : max; |
| 114 | } |
| 115 | |
| 116 | const float d = (max - min) / 31; |
| 117 | const float id = d ? 1.0f/d : 0.0f; |
| 118 | |
| 119 | y->dm.x = d; |
| 120 | y->dm.y = min; |
| 121 | |
| 122 | uint32_t qh = 0; |
| 123 | for (int j = 0; j < QK5_1/2; ++j) { |
| 124 | const float x0 = (x[0 + j] - min)*id; |
| 125 | const float x1 = (x[QK5_1/2 + j] - min)*id; |
| 126 | |
| 127 | const uint8_t xi0 = (uint8_t)(x0 + 0.5f); |
| 128 | const uint8_t xi1 = (uint8_t)(x1 + 0.5f); |
| 129 | |
| 130 | y->qs[j] = (xi0 & 0xf) | ((xi1 & 0xf) << 4); |
| 131 | qh |= ((xi0 & 0x10u) >> 4) << (j + 0); |
| 132 | qh |= ((xi1 & 0x10u) >> 4) << (j + QK5_1/2); |
| 133 | } |
| 134 | memcpy(y->qh, &qh, sizeof(qh)); |
| 135 | } |
| 136 | |
| 137 | static __device__ void quantize_f32_q8_0_block(const float * __restrict__ x, block_q8_0 * __restrict__ y) { |
| 138 | float amax = 0.0f; // absolute max |
| 139 | |
| 140 | for (int j = 0; j < QK8_0; j++) { |
| 141 | const float v = x[j]; |
| 142 | amax = fmaxf(a: amax, b: fabsf(a: v)); |
| 143 | } |
| 144 | |
| 145 | const float d = amax / ((1 << 7) - 1); |
| 146 | const float id = d ? 1.0f/d : 0.0f; |
| 147 | |
| 148 | y->d = d; |
| 149 | |
| 150 | for (int j = 0; j < QK8_0; ++j) { |
| 151 | const float x0 = x[j]*id; |
| 152 | y->qs[j] = roundf(a: x0); |
| 153 | } |
| 154 | } |
| 155 | |
| 156 | static __device__ void quantize_f32_iq4_nl_block(const float * __restrict__ x, block_iq4_nl * __restrict__ y) { |
| 157 | float amax = 0.0f; |
| 158 | float vmax = 0.0f; |
| 159 | |
| 160 | for (int j = 0; j < QK4_NL; ++j) { |
| 161 | const float v = x[j]; |
| 162 | if (amax < fabsf(a: v)) { |
| 163 | amax = fabsf(a: v); |
| 164 | vmax = v; |
| 165 | } |
| 166 | } |
| 167 | |
| 168 | float d = vmax / kvalues_iq4nl[0]; |
| 169 | const float id = d ? 1.0f/d : 0.0f; |
| 170 | |
| 171 | float sumqx = 0, sumq2 = 0; |
| 172 | for (int j = 0; j < QK4_NL/2; ++j) { |
| 173 | const float x0 = x[0 + j]*id; |
| 174 | const float x1 = x[QK4_NL/2 + j]*id; |
| 175 | const uint8_t xi0 = best_index_int8(16, kvalues_iq4nl, x0); |
| 176 | const uint8_t xi1 = best_index_int8(16, kvalues_iq4nl, x1); |
| 177 | y->qs[j] = xi0 | (xi1 << 4); |
| 178 | const float v0 = kvalues_iq4nl[xi0]; |
| 179 | const float v1 = kvalues_iq4nl[xi1]; |
| 180 | const float w0 = x[0 + j]*x[0 + j]; |
| 181 | const float w1 = x[QK4_NL/2 + j]*x[QK4_NL/2 + j]; |
| 182 | sumqx += w0*v0*x[j] + w1*v1*x[QK4_NL/2 + j]; |
| 183 | sumq2 += w0*v0*v0 + w1*v1*v1; |
| 184 | } |
| 185 | |
| 186 | y->d = sumq2 > 0 ? sumqx/sumq2 : d; |
| 187 | } |
| 188 | |
| 189 | // Wrapper functions for cpy.cu compatibility |
| 190 | static __device__ void cpy_blck_f32_q4_0(const char * cxi, char * cdsti) { |
| 191 | quantize_f32_q4_0_block((const float *)cxi, (block_q4_0 *)cdsti); |
| 192 | } |
| 193 | |
| 194 | static __device__ void cpy_blck_f32_q4_1(const char * cxi, char * cdsti) { |
| 195 | quantize_f32_q4_1_block((const float *)cxi, (block_q4_1 *)cdsti); |
| 196 | } |
| 197 | |
| 198 | static __device__ void cpy_blck_f32_q5_0(const char * cxi, char * cdsti) { |
| 199 | quantize_f32_q5_0_block((const float *)cxi, (block_q5_0 *)cdsti); |
| 200 | } |
| 201 | |
| 202 | static __device__ void cpy_blck_f32_q5_1(const char * cxi, char * cdsti) { |
| 203 | quantize_f32_q5_1_block((const float *)cxi, (block_q5_1 *)cdsti); |
| 204 | } |
| 205 | |
| 206 | static __device__ void cpy_blck_f32_q8_0(const char * cxi, char * cdsti) { |
| 207 | quantize_f32_q8_0_block((const float *)cxi, (block_q8_0 *)cdsti); |
| 208 | } |
| 209 | |
| 210 | static __device__ void cpy_blck_f32_iq4_nl(const char * cxi, char * cdsti) { |
| 211 | quantize_f32_iq4_nl_block((const float *)cxi, (block_iq4_nl *)cdsti); |
| 212 | } |
| 213 | |
| 214 | template<typename src_t, typename dst_t> |
| 215 | static __device__ void cpy_1_flt(const char * cxi, char * cdsti) { |
| 216 | *(dst_t *) cdsti = ggml_cuda_cast<dst_t>(*(const src_t *) cxi); |
| 217 | } |
| 218 | |