llama-cpp-sys-4 0.3.1

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
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277

#include "htp-ctx.h"
#include "htp-ops.h"
#include "hexagon_types.h"
#include "hexagon_protos.h"
#include "hvx_hexagon_protos.h"
#include "hex-dma.h"
#include "vtcm-utils.h"
#include "hvx-utils.h"
#include "hex-fastdiv.h"
#include <string.h>

struct htp_concat_context {
    struct htp_ops_context * octx;
    uint32_t dim;
    uint32_t nrows_per_thread;
    struct fastdiv_values div_ne0;
    struct fastdiv_values div_ne1;
    struct fastdiv_values div_ne2;
};

static void concat_2d_f32_transposed(unsigned int nth, unsigned int ith, void * data) {
    struct htp_concat_context * cctx = (struct htp_concat_context *) data;
    struct htp_ops_context * octx = cctx->octx;

    const struct htp_tensor * src0 = octx->src[0];
    const struct htp_tensor * src1 = octx->src[1];
    const struct htp_tensor * dst  = octx->dst;

    const uint32_t src0_ne0 = src0->ne[0];
    const uint32_t src1_ne0 = src1->ne[0];
    const uint32_t ne1      = dst->ne[1];

    const uint32_t start_i = ith * cctx->nrows_per_thread;
    const uint32_t end_i   = (start_i + cctx->nrows_per_thread < ne1) ? (start_i + cctx->nrows_per_thread) : ne1;
    if (start_i >= end_i) return;

    dma_queue * q = octx->ctx->dma[ith];

    uint8_t * spad0_base = octx->src0_spad.data + ith * octx->src0_spad.size_per_thread;
    uint8_t * spad1_base = octx->src1_spad.data + ith * octx->src1_spad.size_per_thread;

    const uint32_t block_i = 32;
    const uint32_t spad1_stride = block_i * sizeof(float);

    int32_t offsets[32] __attribute__((aligned(128)));
    for(int k=0; k<32; k++) {
        offsets[k] = k * spad1_stride;
    }
    HVX_Vector vv = *(HVX_Vector*)offsets;
    const uint32_t src1_ne0_padded = hex_round_up(src1_ne0, 32);
    const uint32_t spad0_row_bytes = hex_round_up((src0_ne0 + src1_ne0_padded) * sizeof(float), VLEN);
    uint32_t mu = src1_ne0_padded * spad1_stride;

    for (uint32_t i = start_i; i < end_i; i += block_i) {
        uint32_t current_block_i = (end_i - i < block_i) ? (end_i - i) : block_i;

        uint32_t src1_width_bytes = current_block_i * sizeof(float);
        uint8_t * src1_ptr = (uint8_t *)src1->data + i * src1->nb[1];
        dma_queue_push(q, dma_make_ptr(spad1_base, src1_ptr), spad1_stride, src1->nb[0], src1_width_bytes, src1_ne0);

        uint32_t src0_row_bytes = src0_ne0 * sizeof(float);
        uint8_t * src0_ptr = (uint8_t *)src0->data + i * src0->nb[1];
        dma_queue_push(q, dma_make_ptr(spad0_base, src0_ptr), spad0_row_bytes, src0->nb[1], src0_row_bytes, current_block_i);

        dma_queue_pop(q); // src1

        HVX_Vector * vtcm_tmp = (HVX_Vector *)(spad1_base + src1_ne0_padded * spad1_stride);

        for (uint32_t j = 0; j < src1_ne0_padded; j += 32) {
            #pragma unroll(4)
            for (uint32_t ii = 0; ii < current_block_i; ii++) {
                size_t rt = (size_t)(spad1_base + j * spad1_stride + ii * sizeof(float));
                Q6_vgather_ARMVw(&vtcm_tmp[ii], rt, mu, vv);
                uint8_t * dst_ptr = spad0_base + ii * spad0_row_bytes + (src0_ne0 + j) * sizeof(float);
                hvx_vmemu(dst_ptr) = vtcm_tmp[ii];
            }
        }

        dma_queue_pop(q); // src0

        uint8_t * dst_ptr = (uint8_t *)dst->data + i * dst->nb[1];
        dma_queue_push(q, dma_make_ptr(dst_ptr, spad0_base), dst->nb[1], spad0_row_bytes, (src0_ne0 + src1_ne0) * sizeof(float), current_block_i);

        dma_queue_pop(q);
    }
}

static void concat_2d_f16_transposed(unsigned int nth, unsigned int ith, void * data) {
    struct htp_concat_context * cctx = (struct htp_concat_context *) data;
    struct htp_ops_context * octx = cctx->octx;

    const struct htp_tensor * src0 = octx->src[0];
    const struct htp_tensor * src1 = octx->src[1];
    const struct htp_tensor * dst  = octx->dst;

    const uint32_t src0_ne0 = src0->ne[0];
    const uint32_t src1_ne0 = src1->ne[0];
    const uint32_t ne1      = dst->ne[1];

    const uint32_t start_i = ith * cctx->nrows_per_thread;
    const uint32_t end_i   = (start_i + cctx->nrows_per_thread < ne1) ? (start_i + cctx->nrows_per_thread) : ne1;
    if (start_i >= end_i) return;

    dma_queue * q = octx->ctx->dma[ith];

    uint8_t * spad0_base = octx->src0_spad.data + ith * octx->src0_spad.size_per_thread;
    uint8_t * spad1_base = octx->src1_spad.data + ith * octx->src1_spad.size_per_thread;

    const uint32_t block_i = 64;
    const uint32_t spad1_stride = block_i * sizeof(__fp16);

    int16_t offsets[64] __attribute__((aligned(128)));
    for(int k=0; k<64; k++) {
        offsets[k] = k * spad1_stride;
    }
    HVX_Vector vv = *(HVX_Vector*)offsets;
    const uint32_t src1_ne0_padded = hex_round_up(src1_ne0, 64);
    const uint32_t spad0_row_bytes = hex_round_up((src0_ne0 + src1_ne0_padded) * sizeof(__fp16), VLEN);
    uint32_t mu = src1_ne0_padded * spad1_stride;

    for (uint32_t i = start_i; i < end_i; i += block_i) {
        uint32_t current_block_i = (end_i - i < block_i) ? (end_i - i) : block_i;

        uint32_t src1_width_bytes = current_block_i * sizeof(__fp16);
        uint8_t * src1_ptr = (uint8_t *)src1->data + i * src1->nb[1];
        dma_queue_push(q, dma_make_ptr(spad1_base, src1_ptr), spad1_stride, src1->nb[0], src1_width_bytes, src1_ne0);

        uint32_t src0_row_bytes = src0_ne0 * sizeof(__fp16);
        uint8_t * src0_ptr = (uint8_t *)src0->data + i * src0->nb[1];
        dma_queue_push(q, dma_make_ptr(spad0_base, src0_ptr), spad0_row_bytes, src0->nb[1], src0_row_bytes, current_block_i);

        dma_queue_pop(q); // src1

        HVX_Vector * vtcm_tmp = (HVX_Vector *)(spad1_base + src1_ne0_padded * spad1_stride);

        for (uint32_t j = 0; j < src1_ne0_padded; j += 64) {
            #pragma unroll(4)
            for (uint32_t ii = 0; ii < current_block_i; ii++) {
                size_t rt = (size_t)(spad1_base + j * spad1_stride + ii * sizeof(__fp16));
                Q6_vgather_ARMVh(&vtcm_tmp[ii], rt, mu, vv);
                uint8_t * dst_ptr = spad0_base + ii * spad0_row_bytes + (src0_ne0 + j) * sizeof(__fp16);
                hvx_vmemu(dst_ptr) = vtcm_tmp[ii];
            }
        }

        dma_queue_pop(q); // src0

        uint8_t * dst_ptr = (uint8_t *)dst->data + i * dst->nb[1];
        dma_queue_push(q, dma_make_ptr(dst_ptr, spad0_base), dst->nb[1], spad0_row_bytes, (src0_ne0 + src1_ne0) * sizeof(__fp16), current_block_i);

        dma_queue_pop(q);
    }
}

static void concat_generic(unsigned int nth, unsigned int ith, void * data) {
    struct htp_concat_context * cctx = (struct htp_concat_context *) data;
    struct htp_ops_context * octx = cctx->octx;

    const struct htp_tensor * src0 = octx->src[0];
    const struct htp_tensor * src1 = octx->src[1];
    const struct htp_tensor * dst  = octx->dst;

    const int dim = cctx->dim;
    const uint32_t type_size = (dst->type == HTP_TYPE_F32 || dst->type == HTP_TYPE_I32) ? 4 : 2;

    const uint32_t ne[4] = {dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3]};
    const uint32_t total_elements = ne[0] * ne[1] * ne[2] * ne[3];
    const uint32_t chunk_size = (total_elements + nth - 1) / nth;

    const uint32_t start_idx = MIN(ith * chunk_size, total_elements);
    const uint32_t end_idx   = MIN(start_idx + chunk_size, total_elements);

    // Naive scalar element-wise copy
    for (uint32_t idx = start_idx; idx < end_idx; idx++) {
        uint32_t idx_div_ne0 = fastdiv(idx, &cctx->div_ne0);
        uint32_t i0 = idx - idx_div_ne0 * ne[0];

        uint32_t idx_div_ne01 = fastdiv(idx_div_ne0, &cctx->div_ne1);
        uint32_t i1 = idx_div_ne0 - idx_div_ne01 * ne[1];

        uint32_t idx_div_ne012 = fastdiv(idx_div_ne01, &cctx->div_ne2);
        uint32_t i2 = idx_div_ne01 - idx_div_ne012 * ne[2];
        uint32_t i3 = idx_div_ne012;

        uint8_t * dst_ptr = (uint8_t *)dst->data + i3 * dst->nb[3] + i2 * dst->nb[2] + i1 * dst->nb[1] + i0 * dst->nb[0];

        uint32_t idx_dim = 0;
        if (dim == 0) idx_dim = i0;
        else if (dim == 1) idx_dim = i1;
        else if (dim == 2) idx_dim = i2;
        else if (dim == 3) idx_dim = i3;

        const struct htp_tensor * src = (idx_dim < src0->ne[dim]) ? src0 : src1;

        uint32_t s0 = i0;
        uint32_t s1 = i1;
        uint32_t s2 = i2;
        uint32_t s3 = i3;

        if (dim == 0 && src == src1) s0 -= src0->ne[0];
        if (dim == 1 && src == src1) s1 -= src0->ne[1];
        if (dim == 2 && src == src1) s2 -= src0->ne[2];
        if (dim == 3 && src == src1) s3 -= src0->ne[3];

        uint8_t * src_ptr = (uint8_t *)src->data + s3 * src->nb[3] + s2 * src->nb[2] + s1 * src->nb[1] + s0 * src->nb[0];

        if (type_size == 4) {
            *(float*)dst_ptr = *(float*)src_ptr;
        } else {
            *(__fp16*)dst_ptr = *(__fp16*)src_ptr;
        }
    }
}

int op_concat(struct htp_ops_context * octx) {
    const struct htp_tensor * src0 = octx->src[0];
    const struct htp_tensor * src1 = octx->src[1];
    const struct htp_tensor * dst  = octx->dst;

    int dim = octx->op_params[0];

    bool is_2d = dst->ne[2] == 1 && dst->ne[3] == 1;

    const uint32_t type_size = (dst->type == HTP_TYPE_F32 || dst->type == HTP_TYPE_I32) ? 4 : 2;
    bool is_src1_transposed  = (src1->nb[0] > src1->nb[1]);
    bool is_src0_transposed  = (src0->nb[0] > src0->nb[1]);

    uint32_t n_threads = octx->n_threads;
    struct htp_concat_context cctx;
    cctx.octx = octx;
    cctx.dim = dim;
    cctx.div_ne0 = init_fastdiv_values(dst->ne[0]);
    cctx.div_ne1 = init_fastdiv_values(dst->ne[1]);
    cctx.div_ne2 = init_fastdiv_values(dst->ne[2]);

    void (*worker_func)(unsigned int, unsigned int, void *) = concat_generic;

    if (dim == 0 && is_2d && is_src1_transposed && !is_src0_transposed) {
        n_threads = MIN(dst->ne[1], n_threads);
        if (n_threads < 1) {
            n_threads = 1;
        }
        uint32_t block_i = (type_size == 4) ? 32 : 64;

        cctx.nrows_per_thread = hmx_ceil_div(dst->ne[1], n_threads);

        // Allocate VTCM
        uint32_t spad1_stride = block_i * type_size;

        uint32_t src1_ne0_padded = hex_round_up(src1->ne[0], block_i);
        uint32_t spad0_row_bytes = hex_round_up((src0->ne[0] + src1_ne0_padded) * type_size, VLEN);

        octx->src0_spad.size_per_thread = block_i * spad0_row_bytes;
        octx->src1_spad.size_per_thread = src1_ne0_padded * spad1_stride + block_i * VLEN;

        octx->src0_spad.size = n_threads * octx->src0_spad.size_per_thread;
        octx->src1_spad.size = n_threads * octx->src1_spad.size_per_thread;

        if (octx->src0_spad.size + octx->src1_spad.size > octx->ctx->vtcm_size) {
            return HTP_STATUS_VTCM_TOO_SMALL;
        }

        octx->src0_spad.data = octx->ctx->vtcm_base;
        octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
        octx->src0_spad.src  = NULL;
        octx->src1_spad.src  = NULL;

        if (type_size == 4) {
            worker_func = concat_2d_f32_transposed;
        } else {
            worker_func = concat_2d_f16_transposed;
        }
    }

    worker_pool_run_func(octx->ctx->worker_pool, worker_func, &cctx, n_threads);
    return HTP_STATUS_OK;
}