llama-cpp-sys-4 0.2.46

Low Level Bindings to llama.cpp
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121

#pragma OPENCL EXTENSION cl_khr_fp16 : enable

#ifdef cl_intel_subgroups
#pragma OPENCL EXTENSION cl_intel_subgroups : enable
#else
#pragma OPENCL EXTENSION cl_khr_subgroups : enable
#endif

#ifdef cl_intel_required_subgroup_size
#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable
#define INTEL_GPU 1
#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16)))
#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32)))
#elif defined(cl_qcom_reqd_sub_group_size)
#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
#define ADRENO_GPU 1
#define REQD_SUBGROUP_SIZE_64  __attribute__((qcom_reqd_sub_group_size("half")))
#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
#endif

// Workgroup must be a subgroup
#ifdef INTEL_GPU
REQD_SUBGROUP_SIZE_32
#elif defined (ADRENO_GPU)
REQD_SUBGROUP_SIZE_64
#endif
kernel void kernel_group_norm(
        global float * src0,
        ulong offset0,
        global float * dst,
        ulong offsetd,
        int ne,
        int group_size,
        float eps
) {
    src0 = (global float  *)((global char *)src0 + offset0);
    dst  = (global float *)((global char *)dst  + offsetd);

    int start = get_group_id(0) * group_size;
    int end   = start + group_size;

    start += get_local_id(0);

    if (end >= ne) {
        end = ne;
    }

    float tmp = 0.0f;

    for (int j = start; j < end; j += get_local_size(0)) {
        tmp += src0[j];
    }

    tmp = sub_group_reduce_add(tmp);

    const float mean = tmp / group_size;
    tmp = 0.0f;

    for (int j = start; j < end; j += get_local_size(0)) {
        float xi = src0[j] - mean;
        dst[j] = xi;
        tmp += xi * xi;
    }

    tmp = sub_group_reduce_add(tmp);

    const float variance = tmp / group_size;
    const float scale = 1.0f/sqrt(variance + eps);
    for (int j = start; j < end; j += get_local_size(0)) {
        dst[j] *= scale;
    }
}

//------------------------------------------------------------------------------
// group_norm_mul_add
//------------------------------------------------------------------------------
#ifdef INTEL_GPU
REQD_SUBGROUP_SIZE_32
#elif defined (ADRENO_GPU)
REQD_SUBGROUP_SIZE_64
#endif
kernel void kernel_group_norm_mul_add(
        global float * src0, ulong offset0,
        global float * src1, ulong offset1,
        global float * src2, ulong offset2,
        global float * dst, ulong offsetd,
        int ne,
        int group_size,
        float eps
) {
    src0 = (global float *)((global char *)src0 + offset0);
    src1 = (global float *)((global char *)src1 + offset1);
    src2 = (global float *)((global char *)src2 + offset2);
    dst  = (global float *)((global char *)dst  + offsetd);

    int start = get_group_id(0) * group_size;
    int end = start + group_size;
    if (end > ne) {
        end = ne;
    }

    float sum = 0.0f;
    float sum_sq = 0.0f;

    for (int j = start + get_local_id(0); j < end; j += get_local_size(0)) {
        float val = src0[j];
        sum += val;
        sum_sq += val*val;
    }

    sum = sub_group_reduce_add(sum);
    sum_sq = sub_group_reduce_add(sum_sq);

    const float mean = sum / group_size;
    const float var = sum_sq / group_size - mean * mean;
    const float scale = rsqrt(var + eps);

    for (int j = start + get_local_id(0); j < end; j += get_local_size(0)) {
        dst[j] = ((src0[j] - mean) * scale) * src1[j] + src2[j];
    }
}