char-fork/llama.cpp

git clone https://git.t4t.associates/char-fork/llama.cpp

Masashi Yoshimuraggml-webgpu : refactor several wgsl files and simplify flash_attn wgsl. (#26134)f401bb139

char/aliceai-t5-moe
4.9 KiB210 linesraw
1enable f16;
2
3#ifdef MASK_F32
4#define MaskType f32
5#endif
6#ifdef MASK_F16
7#define MaskType f16
8#endif
9
10struct Params {
11    offset_src0: u32,
12    offset_src1: u32,
13    offset_sinks: u32,
14    offset_dst: u32,
15
16    // Strides (in elements)
17    stride_src01: u32,
18    stride_src02: u32,
19    stride_src03: u32,
20
21    stride_src11: u32,
22    stride_src12: u32,
23    stride_src13: u32,
24
25    stride_dst1: u32,
26    stride_dst2: u32,
27    stride_dst3: u32,
28
29    // shape of src0/dst
30    ne0: u32,
31    ne1: u32,
32    ne2: u32,
33
34    // shape of src1
35    ne12: u32,
36    ne13: u32,
37
38    scale: f32,
39    max_bias: f32,
40    n_head_log2: f32,
41    m0: f32,
42    m1: f32,
43};
44
45#define SRC_BINDING 0
46@group(0) @binding(SRC_BINDING)
47var<storage, read_write> src: array<f32>;
48
49#ifdef HAS_MASK
50#define MASK_BINDING SRC_BINDING + 1
51@group(0) @binding(MASK_BINDING)
52var<storage, read_write> mask: array<MaskType>;
53#else
54#define MASK_BINDING SRC_BINDING
55#endif
56
57#ifdef HAS_SINK
58#define SINKS_BINDING MASK_BINDING + 1
59@group(0) @binding(SINKS_BINDING)
60var<storage, read_write> sinks: array<f32>;
61#else
62#define SINKS_BINDING MASK_BINDING
63#endif
64
65#define DST_BINDING SINKS_BINDING + 1
66@group(0) @binding(DST_BINDING)
67var<storage, read_write> dst: array<f32>;
68
69#ifdef INPLACE
70#define PARAMS_BINDING DST_BINDING
71#else
72#define PARAMS_BINDING (DST_BINDING + 1)
73#endif
74
75@group(0) @binding(PARAMS_BINDING)
76var<uniform> params: Params;
77
78#ifdef INPLACE
79fn inter_value(i: u32) -> f32 {
80    return src[i];
81}
82fn update(i: u32, val: f32) {
83    src[i] = val;
84}
85
86#else
87fn inter_value(i: u32) -> f32 {
88    return dst[i];
89}
90fn update(i: u32, val: f32) {
91    dst[i] = val;
92}
93#endif
94
95#ifdef HAS_MASK
96fn mask_val(i: u32) -> f32 {
97    return f32(mask[i]);
98}
99
100#else
101fn mask_val(i: u32) -> f32 {
102    return 0.0;
103}
104#endif
105
106#ifdef HAS_SINK
107fn lower_max_bound(i2: u32) -> f32 {
108    return sinks[params.offset_sinks + i2];
109}
110fn add_sinks(val: f32, i2: u32, max_val: f32) -> f32 {
111    return val + exp(sinks[params.offset_sinks + i2] - max_val);
112}
113#else
114fn lower_max_bound(i2: u32) -> f32 {
115    return -1e30;
116}
117fn add_sinks(val: f32, i2: u32, max_val: f32) -> f32 {
118    return val;
119}
120#endif
121
122const CACHE_SIZE: u32 = 16;
123var<workgroup> scratch: array<f32, WG_SIZE>;
124
125@compute @workgroup_size(WG_SIZE)
126fn main(@builtin(workgroup_id) wid: vec3<u32>,
127        @builtin(local_invocation_id) lid: vec3<u32>) {
128
129    var i = wid.x;
130    let i3 = i / (params.ne2 * params.ne1);
131    i = i % (params.ne2 * params.ne1);
132    let i2 = i / params.ne1;
133    let i1 = i % params.ne1;
134    let i_src0_row = params.offset_src0 + i3 * params.stride_src03 + i2 * params.stride_src02 + i1 * params.stride_src01;
135    let i_src1_row = params.offset_src1 + (i3 % params.ne13) * params.stride_src13 + (i2 % params.ne12) * params.stride_src12 + i1 * params.stride_src11;
136    let i_dst_row = params.offset_dst + i3 * params.stride_dst3 + i2 * params.stride_dst2 + i1 * params.stride_dst1;
137    let elems = (params.ne0 + WG_SIZE - 1) / WG_SIZE;
138
139    let head = f32(i2);
140    let slope = select(1, select(pow(params.m1, 2 * (head - params.n_head_log2) + 1), pow(params.m0, head + 1), head < params.n_head_log2), params.max_bias > 0);
141
142    var cache: array<f32, CACHE_SIZE>;
143
144    var max_val = lower_max_bound(i2);
145    var col = lid.x;
146    for (var j: u32 = 0; j < elems; j++) {
147        if (col >= params.ne0) {
148            break;
149        }
150        let val = src[i_src0_row + col] * params.scale + slope * mask_val(i_src1_row + col);
151        max_val = max(max_val, val);
152        if (col < CACHE_SIZE) {
153            cache[col] = val;
154        }
155        col += WG_SIZE;
156    }
157
158    scratch[lid.x] = max_val;
159    workgroupBarrier();
160    var offset: u32 = WG_SIZE / 2;
161    while (offset > 0) {
162        if (lid.x < offset) {
163            scratch[lid.x] = max(scratch[lid.x], scratch[lid.x + offset]);
164        }
165        offset = offset / 2;
166        workgroupBarrier();
167    }
168    let row_max = scratch[0];
169    workgroupBarrier();
170
171    var sum = 0.0f;
172    col = lid.x;
173    for (var j: u32 = 0; j < elems; j++) {
174        if (col >= params.ne0) {
175            break;
176        }
177        let val = select(src[i_src0_row + col] * params.scale + slope * mask_val(i_src1_row + col),
178                         cache[col], col < CACHE_SIZE);
179        let ex = exp(val - row_max);
180        sum += ex;
181        if (col < CACHE_SIZE) {
182            cache[col] = ex;
183        } else {
184            update(i_dst_row + col, ex);
185        }
186        col += WG_SIZE;
187    }
188
189    scratch[lid.x] = sum;
190    workgroupBarrier();
191    offset = WG_SIZE / 2;
192    while (offset > 0) {
193        if (lid.x < offset) {
194            scratch[lid.x] += scratch[lid.x + offset];
195        }
196        offset = offset / 2;
197        workgroupBarrier();
198    }
199    let row_sum = add_sinks(scratch[0], i2, row_max);
200
201    let sum_recip = 1.0 / row_sum;
202    col = lid.x;
203    for  (var j: u32 = 0; j < elems; j++) {
204        if (col >= params.ne0) {
205            break;
206        }
207        update(i_dst_row + col, select(inter_value(i_dst_row + col), cache[col], col < CACHE_SIZE) * sum_recip);
208        col += WG_SIZE;
209    }
210}