char-fork/llama.cpp
git clone https://git.t4t.associates/char-fork/llama.cpp
aab68217b
char/aliceai-t5-moe
1#if defined(SRC_F16) || defined(DST_F16) 2enable f16; 3#endif 4 5#ifdef SRC_F16 6#define SRC_TYPE f16 7#else 8#define SRC_TYPE f32 9#endif 10 11#ifdef DST_F16 12#define DST_TYPE f16 13#else 14#define DST_TYPE f32 15#endif 16 17@group(0) @binding(0) 18var<storage, read_write> input: array<SRC_TYPE>; 19 20@group(0) @binding(1) 21var<storage, read_write> output: array<DST_TYPE>; 22 23struct Params { 24 offset_i: u32, 25 offset_o: u32, 26 27 // element strides 28 si0: u32, si1: u32, si2: u32, si3: u32, 29 so0: u32, so1: u32, so2: u32, so3: u32, 30 31 src_w: u32, 32 src_h: u32, 33 src_z: u32, 34 src_n: u32, 35 36 dst_w: u32, 37 dst_h: u32, 38 dst_z: u32, 39 dst_n: u32, 40 41 mode_flags: u32, 42}; 43 44@group(0) @binding(2) 45var<uniform> params: Params; 46 47const GGML_SCALE_FLAG_ALIGN_CORNERS: u32 = 1u << 8u; 48 49fn get_clamped_input(x: i32, y: i32, z: u32, n: u32) -> f32 { 50 let cx = u32(clamp(x, 0, i32(params.src_w) - 1)); 51 let cy = u32(clamp(y, 0, i32(params.src_h) - 1)); 52 let i = params.offset_i + cx * params.si0 + cy * params.si1 + z * params.si2 + n * params.si3; 53 return f32(input[i]); 54} 55 56fn cubic_weight(t: f32, a: f32) -> f32 { 57 let at = abs(t); 58 if (at <= 1.0) { 59 return (a + 2.0) * at * at * at - (a + 3.0) * at * at + 1.0; 60 } else if (at <= 2.0) { 61 return a * at * at * at - 5.0 * a * at * at + 8.0 * a * at - 4.0 * a; 62 } else { 63 return 0.0; 64 } 65} 66 67@compute @workgroup_size(WG_SIZE) 68fn main( 69 @builtin(global_invocation_id) gid: vec3<u32>, 70 @builtin(num_workgroups) num_wg: vec3<u32> 71) { 72 73 let i_out = gid.x + (num_wg.x * u32(WG_SIZE)) * gid.y; 74 let total = params.dst_w * params.dst_h * params.dst_z * params.dst_n; 75 76 if (i_out >= total) { 77 return; 78 } 79 80 // decode (x, y, z, n) 81 var i = i_out; 82 let x_dst = i % params.dst_w; 83 i = i / params.dst_w; 84 let y_dst = i % params.dst_h; 85 i = i / params.dst_h; 86 let z_dst = i % params.dst_z; 87 let n_dst = i / params.dst_z; 88 89 // scale factors 90 var sf0 = f32(params.dst_w) / f32(params.src_w); 91 var sf1 = f32(params.dst_h) / f32(params.src_h); 92 var sf2 = f32(params.dst_z) / f32(params.src_z); 93 var sf3 = f32(params.dst_n) / f32(params.src_n); 94 95 let align_corners = (params.mode_flags & GGML_SCALE_FLAG_ALIGN_CORNERS) != 0; 96 97 // pixel_offset: 0.5 for half-pixel-center (default), 0.0 for align_corners 98 var pixel_offset = 0.5; 99 if (align_corners) { 100 pixel_offset = 0.0; 101 if (params.dst_w > 1 && params.src_w > 1) { 102 sf0 = f32(params.dst_w - 1) / f32(params.src_w - 1); 103 } 104 if (params.dst_h > 1 && params.src_h > 1) { 105 sf1 = f32(params.dst_h - 1) / f32(params.src_h - 1); 106 } 107 } 108 109 let z_src = min(params.src_z - 1, u32(floor(f32(z_dst) / sf2))); 110 let n_src = min(params.src_n - 1, u32(floor(f32(n_dst) / sf3))); 111 112 var result = 0.0; 113 114#if defined(NEAREST) 115 116 let x_src = min(params.src_w - 1, u32(floor(f32(x_dst) / sf0))); 117 let y_src = min(params.src_h - 1, u32(floor(f32(y_dst) / sf1))); 118 119 result = get_clamped_input(i32(x_src), i32(y_src), z_src, n_src); 120 121#elif defined(BILINEAR) 122 123#if defined(ANTIALIAS) 124 125 // Antialiased bilinear: triangle filter over a variable support region. 126 let support0 = max(1.0f / sf0, 1.0f); 127 let support1 = max(1.0f / sf1, 1.0f); 128 let invscale0 = 1.0 / support0; 129 let invscale1 = 1.0 / support1; 130 131 let fx = (f32(x_dst) + pixel_offset) / sf0; 132 let fy = (f32(y_dst) + pixel_offset) / sf1; 133 134 let x_min = max(i32(fx - support0 + pixel_offset), 0); 135 let y_min = max(i32(fy - support1 + pixel_offset), 0); 136 let x_max = min(i32(fx + support0 + pixel_offset), i32(params.src_w)); 137 let y_max = min(i32(fy + support1 + pixel_offset), i32(params.src_h)); 138 139 var weighted_sum = 0.0; 140 var total_weight = 0.0; 141 142 for (var x = x_min; x < x_max; x += 1) { 143 let wx = max(1.0 - abs(f32(x) - fx + pixel_offset) * invscale0, 0.0); 144 for (var y = y_min; y < y_max; y += 1) { 145 let wy = max(1.0 - abs(f32(y) - fy + pixel_offset) * invscale1, 0.0); 146 let w = wx * wy; 147 if (w > 0.0) { 148 weighted_sum += get_clamped_input(x, y, z_src, n_src) * w; 149 total_weight += w; 150 } 151 } 152 } 153 154 if (total_weight > 0.0) { 155 result = weighted_sum / total_weight; 156 } 157 158#else 159 160 let fx = (f32(x_dst) + pixel_offset) / sf0 - pixel_offset; 161 let fy = (f32(y_dst) + pixel_offset) / sf1 - pixel_offset; 162 let x0 = i32(floor(fx)); 163 let y0 = i32(floor(fy)); 164 let dx = clamp(fx - f32(x0), 0.0, 1.0); 165 let dy = clamp(fy - f32(y0), 0.0, 1.0); 166 let a = get_clamped_input(x0, y0, z_src, n_src); 167 let b = get_clamped_input(x0 + 1, y0, z_src, n_src); 168 let c = get_clamped_input(x0, y0 + 1, z_src, n_src); 169 let d = get_clamped_input(x0 + 1, y0 + 1, z_src, n_src); 170 171 let wa = (1.0 - dx) * (1.0 - dy); 172 let wb = dx * (1.0 - dy); 173 let wc = (1.0 - dx) * dy; 174 let wd = dx * dy; 175 176 result = a * wa + b * wb + c * wc + d * wd; 177 178#endif 179 180#elif defined(BICUBIC) 181 182 // bicubic convolution with alpha = -0.75 (PyTorch default) 183 let alpha = -0.75; 184 let fx = (f32(x_dst) + pixel_offset) / sf0 - pixel_offset; 185 let fy = (f32(y_dst) + pixel_offset) / sf1 - pixel_offset; 186 187 let x0 = i32(floor(fx)); 188 let y0 = i32(floor(fy)); 189 let dx = fx - f32(x0); 190 let dy = fy - f32(y0); 191 192 // horizontal weights for offsets -1, 0, 1, 2 193 let wx0 = cubic_weight(dx + 1.0, alpha); 194 let wx1 = cubic_weight(dx, alpha); 195 let wx2 = cubic_weight(1.0 - dx, alpha); 196 let wx3 = cubic_weight(2.0 - dx, alpha); 197 198 // vertical weights for offsets -1, 0, 1, 2 199 let wy0 = cubic_weight(dy + 1.0, alpha); 200 let wy1 = cubic_weight(dy, alpha); 201 let wy2 = cubic_weight(1.0 - dy, alpha); 202 let wy3 = cubic_weight(2.0 - dy, alpha); 203 204 // intermediate horizontal interpolation for 4x4 grid of pixels 205 // x0-1, x0, x0+1, x0+2, y0-1 206 let p0 = get_clamped_input(x0 - 1, y0 - 1, z_src, n_src); 207 let p1 = get_clamped_input(x0, y0 - 1, z_src, n_src); 208 let p2 = get_clamped_input(x0 + 1, y0 - 1, z_src, n_src); 209 let p3 = get_clamped_input(x0 + 2, y0 - 1, z_src, n_src); 210 let row0 = p0 * wx0 + p1 * wx1 + p2 * wx2 + p3 * wx3; 211 212 // x0-1, x0, x0+1, x0+2, y0 213 let q0 = get_clamped_input(x0 - 1, y0, z_src, n_src); 214 let q1 = get_clamped_input(x0, y0, z_src, n_src); 215 let q2 = get_clamped_input(x0 + 1, y0, z_src, n_src); 216 let q3 = get_clamped_input(x0 + 2, y0, z_src, n_src); 217 let row1 = q0 * wx0 + q1 * wx1 + q2 * wx2 + q3 * wx3; 218 219 // x0-1, x0, x0+1, x0+2, y0+1 220 let r0 = get_clamped_input(x0 - 1, y0 + 1, z_src, n_src); 221 let r1 = get_clamped_input(x0, y0 + 1, z_src, n_src); 222 let r2 = get_clamped_input(x0 + 1, y0 + 1, z_src, n_src); 223 let r3 = get_clamped_input(x0 + 2, y0 + 1, z_src, n_src); 224 let row2 = r0 * wx0 + r1 * wx1 + r2 * wx2 + r3 * wx3; 225 226 // x0-1, x0, x0+1, x0+2, y0+2 227 let s0 = get_clamped_input(x0 - 1, y0 + 2, z_src, n_src); 228 let s1 = get_clamped_input(x0, y0 + 2, z_src, n_src); 229 let s2 = get_clamped_input(x0 + 1, y0 + 2, z_src, n_src); 230 let s3 = get_clamped_input(x0 + 2, y0 + 2, z_src, n_src); 231 let row3 = s0 * wx0 + s1 * wx1 + s2 * wx2 + s3 * wx3; 232 233 // final vertical interpolation 234 result = row0 * wy0 + row1 * wy1 + row2 * wy2 + row3 * wy3; 235 236#endif 237 238 let dst_idx = params.offset_o + x_dst * params.so0 + y_dst * params.so1 + z_dst * params.so2 + n_dst * params.so3; 239 output[dst_idx] = DST_TYPE(result); 240}