File size: 12,563 Bytes
e0adbab
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
// SPDX-License-Identifier: Apache-2.0
// K11 depthwise reader (sceneseg-p150 OPT_PLAN K11, tt/dw.py): the float32 TILE input map [1, 1, Hin*Win, C] (DRAM
// interleaved) of one depthwise kxk conv, gathered into one TILE page per (output pixel tile, channel tile, tap).
//
// Work: the NW = CT * PT items (channel tile ct, output pixel tile pt; ct-major) split over the first NC cores in
// row-major order, core i owning [i * B + min(i, E), + B + (i < E)) (no per-core RT args: probe P3). A core walks
// its items in chunks of at most CH pixel tiles of one ct. Per chunk:
//   1. the input rows the chunk needs are loaded into an L1 band: two planes per row (channel half h = 0 / 1, 64 B
//      per pixel = 16 fp32 channels), P zero columns on each side; for stride 2 each plane is stored column-parity
//      major (even padded columns, then odd), so every tap reads consecutive output pixels from consecutive band
//      pixels. A 16-pixel face half of an input tile is one contiguous DRAM run: stride 1 reads it straight into
//      the band; stride 2 reads the row into a staging row (CB 5, two rows ping-pong) and scatters its pixels to
//      the parity planes with 64 B local copies (64 B DRAM reads were latency-bound: R2 profile).
//   2. per output tile, the KK TILE pages (one per tap) are assembled from the band: face (rg, h) = 16 output
//      pixels of channel half h, copied in runs (split at output-row ends); out-of-image rows and pixels past
//      Hout*Wout read a zero block. Every copy is a local NoC read; ONE barrier per output tile (KK pages pushed
//      together, CB 0 holds 2 * KK pages), not per page.
// When ct changes the NWT weight tiles (tile ct * NWT + j; NWT = KK: every row of tile j = w[ct*32 .. +32, tap j];
// R7.1 DW_WPACK: NWT = ceil(KK / 8), rows 4l .. 4l+3 of tile j = tap 8j + l) and the bias tile ct are read into
// CBs 1 / 2 (resident until the next ct).
// CT args: [0] HIN, [1] WIN, [2] HOUT, [3] WOUT, [4] K, [5] S, [6] P, [7] CT, [8] PT, [9] NC, [10] GX, [11] CH,
//          [12] NRMAX (band rows), [13] STAGE (stride 2: 1 = staging rows, 0 = 64 B DRAM reads), [14] NWT (weight
//          tiles per channel tile), then the TensorAccessorArgs of x, w, b.
// Common RT args: [x_addr, w_addr, b_addr].
#include <cstdint>

#include "api/dataflow/dataflow_api.h"

constexpr uint32_t HIN = get_compile_time_arg_val(0);
constexpr uint32_t WIN = get_compile_time_arg_val(1);
constexpr uint32_t HOUT = get_compile_time_arg_val(2);
constexpr uint32_t WOUT = get_compile_time_arg_val(3);
constexpr uint32_t K = get_compile_time_arg_val(4);
constexpr uint32_t S = get_compile_time_arg_val(5);
constexpr uint32_t P = get_compile_time_arg_val(6);
constexpr uint32_t CT = get_compile_time_arg_val(7);
constexpr uint32_t PT = get_compile_time_arg_val(8);
constexpr uint32_t NC = get_compile_time_arg_val(9);
constexpr uint32_t GX = get_compile_time_arg_val(10);
constexpr uint32_t CH = get_compile_time_arg_val(11);
constexpr uint32_t NRMAX = get_compile_time_arg_val(12);
constexpr uint32_t STAGE = get_compile_time_arg_val(13);
constexpr uint32_t NWT = get_compile_time_arg_val(14);
constexpr auto x_args = TensorAccessorArgs<15>();
constexpr auto w_args = TensorAccessorArgs<x_args.next_compile_time_args_offset()>();
constexpr auto b_args = TensorAccessorArgs<w_args.next_compile_time_args_offset()>();

constexpr uint32_t KK = K * K;
constexpr uint32_t HWO = HOUT * WOUT;
constexpr uint32_t NW = CT * PT;
constexpr uint32_t TB = 4096;
constexpr uint32_t WP = WIN + 2 * P;                      // padded input width (pixels)
constexpr uint32_t PH = (WP + 1) / 2;                     // stride 2: pixels of the even-column half of a plane row
constexpr uint32_t RS = (S == 1) ? WP : 2 * PH;           // pixels per plane row
constexpr uint32_t cb_x = 0, cb_w = 1, cb_b = 2, cb_band = 3, cb_zero = 4, cb_stage = 5;
constexpr uint32_t STAGE_ROW = WIN * 128;                 // one staging row: two planes of WIN pixels x 64 B

// L1 byte address of padded column j of band row r, channel half h
FORCE_INLINE uint32_t band_addr(uint32_t base, uint32_t r, uint32_t h, uint32_t j) {
    uint32_t pos;
    if constexpr (S == 1) {
        pos = j;
    } else {
        pos = (j & 1) * PH + (j >> 1);
    }
    return base + (((r * 2 + h) * RS) + pos) * 64;
}

void kernel_main() {
    const uint32_t core = get_absolute_logical_y() * GX + get_absolute_logical_x();
    if (core >= NC) {
        return;
    }
    constexpr uint32_t B = NW / NC, E = NW % NC;
    const uint32_t w0 = core * B + (core < E ? core : E);
    const uint32_t w1 = w0 + B + (core < E ? 1 : 0);
    const auto xa = TensorAccessor(x_args, get_common_arg_val<uint32_t>(0), TB);
    const auto wa = TensorAccessor(w_args, get_common_arg_val<uint32_t>(1), TB);
    const auto ba = TensorAccessor(b_args, get_common_arg_val<uint32_t>(2), TB);

    // the 1 KB zero block (16 pixels x 64 B)
    const uint32_t zero = get_write_ptr(cb_zero);
    {
        volatile tt_l1_ptr uint32_t* z = reinterpret_cast<volatile tt_l1_ptr uint32_t*>(zero);
        for (uint32_t i = 0; i < 256; ++i) {
            z[i] = 0;
        }
    }
    const uint64_t zero_noc = get_noc_addr(zero);
    const uint32_t band = get_write_ptr(cb_band);
    const uint32_t stage = (S == 2 && STAGE) ? get_write_ptr(cb_stage) : 0;

    uint32_t cur_ct = 0xFFFFFFFF;
    uint32_t w = w0;
    while (w < w1) {
        const uint32_t ct = w / PT;
        const uint32_t pt0 = w - ct * PT;
        uint32_t pt1 = pt0 + CH;
        if (pt1 > PT) {
            pt1 = PT;
        }
        if (pt1 - pt0 > w1 - w) {
            pt1 = pt0 + (w1 - w);
        }
        if (ct != cur_ct) {
            cb_reserve_back(cb_w, NWT);
            uint32_t l1 = get_write_ptr(cb_w);
            for (uint32_t t = 0; t < NWT; ++t) {
                noc_async_read(wa.get_noc_addr(ct * NWT + t), l1, TB);
                l1 += TB;
            }
            cb_reserve_back(cb_b, 1);
            noc_async_read(ba.get_noc_addr(ct), get_write_ptr(cb_b), TB);
            noc_async_read_barrier();
            cb_push_back(cb_w, NWT);
            cb_push_back(cb_b, 1);
            cur_ct = ct;
        }
        // ---- 1. the band: padded input rows R0 .. R0 + NR - 1 (input row iy = R0 + r - P)
        const uint32_t p_first = pt0 * 32;
        uint32_t p_last = pt1 * 32 - 1;
        if (p_last >= HWO) {
            p_last = HWO - 1;
        }
        const uint32_t ya = p_first / WOUT, yb = p_last / WOUT;
        const uint32_t R0 = ya * S;
        const uint32_t NR = (yb - ya) * S + K;   // <= NRMAX by construction (host)
        for (uint32_t r = 0; r < NR; ++r) {
            const int32_t iy = (int32_t)(R0 + r) - (int32_t)P;
            if (iy < 0 || iy >= (int32_t)HIN) {
                continue;
            }
            for (uint32_t h = 0; h < 2; ++h) {
                for (uint32_t j = 0; j < P; ++j) {
                    noc_async_read(zero_noc, band_addr(band, r, h, j), 64);
                    noc_async_read(zero_noc, band_addr(band, r, h, P + WIN + j), 64);
                }
            }
            const uint32_t qa = (uint32_t)iy * WIN;
            const uint32_t qb = qa + WIN;
            if constexpr (S == 1) {
                uint32_t q = qa;
                while (q < qb) {
                    uint32_t ge = (q | 15) + 1;
                    if (ge > qb) {
                        ge = qb;
                    }
                    const uint32_t n = ge - q;
                    const uint32_t tile = (q >> 5) * CT + ct;
                    const uint32_t fo = ((q >> 4) & 1) * 2048 + (q & 15) * 64;
                    for (uint32_t h = 0; h < 2; ++h) {
                        noc_async_read(xa.get_noc_addr(tile, fo + h * 1024), band_addr(band, r, h, P + q - qa),
                                       n * 64);
                    }
                    q = ge;
                }
            } else if constexpr (STAGE == 0) {
                // stride 2 without staging (R2.1 form, knob DW_STAGE=0): one 64 B DRAM read per pixel and half
                for (uint32_t q = qa; q < qb; ++q) {
                    const uint32_t tile = (q >> 5) * CT + ct;
                    const uint32_t fo = ((q >> 4) & 1) * 2048 + (q & 15) * 64;
                    for (uint32_t h = 0; h < 2; ++h) {
                        noc_async_read(xa.get_noc_addr(tile, fo + h * 1024), band_addr(band, r, h, P + q - qa), 64);
                    }
                }
            } else {
                const uint32_t st = stage + (r & 1) * STAGE_ROW;
                uint32_t q = qa;
                while (q < qb) {
                    uint32_t ge = (q | 15) + 1;
                    if (ge > qb) {
                        ge = qb;
                    }
                    const uint32_t n = ge - q;
                    const uint32_t tile = (q >> 5) * CT + ct;
                    const uint32_t fo = ((q >> 4) & 1) * 2048 + (q & 15) * 64;
                    for (uint32_t h = 0; h < 2; ++h) {
                        noc_async_read(xa.get_noc_addr(tile, fo + h * 1024), st + h * (WIN * 64) + (q - qa) * 64,
                                       n * 64);
                    }
                    q = ge;
                }
                // the staging row is complete (and the copies out of the other staging row, issued one row ago,
                // are done before that row is refilled: this barrier covers them too)
                noc_async_read_barrier();
                noc_async_read_set_state(zero_noc);
                for (uint32_t h = 0; h < 2; ++h) {
                    for (uint32_t px = 0; px < WIN; ++px) {
                        noc_async_read_with_state(st + h * (WIN * 64) + px * 64, band_addr(band, r, h, P + px), 64);
                    }
                }
            }
        }
        noc_async_read_barrier();
        // ---- 2. KK TILE pages per output tile. The output pixels of the tile split into at most 8 segments (per
        // 16-pixel row group: runs inside one output row, or past Hout*Wout); a tap only shifts each segment's band
        // source, so the segments are computed once per tile. All copies are local: NoC state set once.
        noc_async_read_set_state(zero_noc);
        for (uint32_t pt = pt0; pt < pt1; ++pt) {
            uint32_t seg_d[8], seg_n[8], seg_y[8], seg_x[8], ns = 0;
            for (uint32_t rg = 0; rg < 2; ++rg) {
                const uint32_t p = pt * 32 + rg * 16;
                uint32_t y = p / WOUT;
                uint32_t x = p - y * WOUT;
                uint32_t i = 0;
                while (i < 16) {
                    seg_d[ns] = rg * 2048 + i * 64;
                    if (p + i >= HWO) {
                        seg_n[ns] = (16 - i) * 64;
                        seg_y[ns] = 0xFFFF;                               // zero segment
                        seg_x[ns] = 0;
                        ++ns;
                        break;
                    }
                    uint32_t n = WOUT - x;
                    if (n > 16 - i) {
                        n = 16 - i;
                    }
                    seg_n[ns] = n * 64;
                    seg_y[ns] = y;
                    seg_x[ns] = x;
                    ++ns;
                    i += n;
                    x += n;
                    if (x == WOUT) {
                        x = 0;
                        ++y;
                    }
                }
            }
            cb_reserve_back(cb_x, KK);
            uint32_t dst = get_write_ptr(cb_x);
            for (uint32_t dy = 0; dy < K; ++dy) {
                for (uint32_t dx = 0; dx < K; ++dx, dst += TB) {
                    for (uint32_t g = 0; g < ns; ++g) {
                        const uint32_t d0 = dst + seg_d[g];
                        const uint32_t rr = seg_y[g] * S + dy;                // padded row (huge for a zero segment)
                        if (rr >= P && rr < P + HIN) {
                            const uint32_t src = band_addr(band, rr - R0, 0, seg_x[g] * S + dx);
                            noc_async_read_with_state(src, d0, seg_n[g]);
                            noc_async_read_with_state(src + RS * 64, d0 + 1024, seg_n[g]);
                        } else {
                            noc_async_read_with_state(zero, d0, seg_n[g]);
                            noc_async_read_with_state(zero, d0 + 1024, seg_n[g]);
                        }
                    }
                }
            }
            noc_async_read_barrier();
            cb_push_back(cb_x, KK);
        }
        w += pt1 - pt0;
    }
}