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| // SPDX-License-Identifier: Apache-2.0 | |
| // KUNTILE reader (meteor-p150 OPT2, tt/ktile.py untilize): a TILE map (logical [A, B, WD, C], CT tile columns) as | |
| // ROW_MAJOR (one DRAM page per pixel of PAGE = C * ES bytes), without a compute kernel. Units as KTILE (unit v = row | |
| // block v % XB of plane v / XB, its CT input tiles v * CT + k, n = min(32, WD - 32 xb) valid rows). Per unit: the | |
| // tiles read into a double-buffered reader-private area (CB 0; the next unit's tiles issued while this unit is | |
| // copied), then the n rows untilized by stateful local NOC copies of 16-element face rows into a staging page (CB 1, | |
| // pushed to the writer; row i at slot (i % NBANK) * 32 / NBANK + i / NBANK, so each DRAM bank's rows are one run). | |
| // CT args: [0] NU, [1] NC, [2] GX, [3] XB, [4] WD, [5] C, [6] ES, [7] NBANK, [8] CT, then the TensorAccessorArgs of | |
| // the input. Common RT args: [in_addr]. | |
| constexpr uint32_t NU = get_compile_time_arg_val(0); | |
| constexpr uint32_t NC = get_compile_time_arg_val(1); | |
| constexpr uint32_t GX = get_compile_time_arg_val(2); | |
| constexpr uint32_t XB = get_compile_time_arg_val(3); | |
| constexpr uint32_t WD = get_compile_time_arg_val(4); | |
| constexpr uint32_t CH = get_compile_time_arg_val(5); | |
| constexpr uint32_t ES = get_compile_time_arg_val(6); | |
| constexpr uint32_t NBANK = get_compile_time_arg_val(7); | |
| constexpr uint32_t CT = get_compile_time_arg_val(8); | |
| constexpr auto in_args = TensorAccessorArgs<9>(); | |
| constexpr uint32_t PAGE = CH * ES, TB = 1024 * ES, FACE = 256 * ES, FROW = 16 * ES; | |
| constexpr uint32_t RUN = 32 / NBANK; | |
| constexpr uint32_t cb_tiles = 0, cb_stage = 1; | |
| void kernel_main() { | |
| const uint32_t core = get_absolute_logical_y() * GX + get_absolute_logical_x(); | |
| if (core >= NC) { | |
| return; | |
| } | |
| constexpr uint32_t Q = NU / NC, E = NU % NC; | |
| const uint32_t u0 = core * Q + (core < E ? core : E); | |
| const uint32_t nu = Q + (core < E ? 1 : 0); | |
| if (nu == 0) { | |
| return; | |
| } | |
| const auto src = TensorAccessor(in_args, get_common_arg_val<uint32_t>(0), TB); | |
| cb_reserve_back(cb_tiles, 1); // reader-private (2 x CT tiles), never pushed | |
| const uint32_t tiles0 = get_write_ptr(cb_tiles); | |
| for (uint32_t k = 0; k < CT; ++k) { | |
| noc_async_read(src.get_noc_addr(u0 * CT + k), tiles0 + k * TB, TB); | |
| } | |
| noc_async_read_barrier(); | |
| const uint64_t here = get_noc_addr(tiles0); | |
| for (uint32_t v = u0; v < u0 + nu; ++v) { | |
| const uint32_t tl = tiles0 + ((v - u0) & 1) * CT * TB; | |
| const uint32_t xb = v % XB; | |
| const uint32_t n = (WD - xb * 32) < 32 ? (WD - xb * 32) : 32; | |
| cb_reserve_back(cb_stage, 1); | |
| const uint32_t st = get_write_ptr(cb_stage); | |
| noc_async_read_one_packet_set_state(here, FROW); | |
| for (uint32_t i = 0; i < n; ++i) { | |
| const uint32_t s = tl + ((i >> 4) * 2) * FACE + (i & 15) * FROW; | |
| const uint32_t d = st + ((i % NBANK) * RUN + i / NBANK) * PAGE; | |
| for (uint32_t k = 0; k < CT; ++k) { | |
| noc_async_read_one_packet_with_state(s + k * TB, d + k * 32 * ES); | |
| if (k * 32 + 16 < CH) { | |
| noc_async_read_one_packet_with_state(s + k * TB + FACE, d + (k * 32 + 16) * ES); | |
| } | |
| } | |
| } | |
| if (v + 1 < u0 + nu) { | |
| const uint32_t nt = tiles0 + ((v + 1 - u0) & 1) * CT * TB; | |
| for (uint32_t k = 0; k < CT; ++k) { | |
| noc_async_read(src.get_noc_addr((v + 1) * CT + k), nt + k * TB, TB); | |
| } | |
| } | |
| noc_async_read_barrier(); | |
| cb_push_back(cb_stage, 1); | |
| } | |
| } | |