// SPDX-License-Identifier: Apache-2.0 // RSZ writer (frnet-p150 OPT round 2, tt/resize.py): per unit (ct, y) it waits for the whole H-blended row V (NWI // fp32 tiles in CB 5), then per output tile column wt gathers the rows of the 32 output pixels' two input columns // j0(w), j1(w) (column table, resident in CB 8: [W][2] u32) from V into g0 / g1 (CBs 6 / 7: fp32, row i = V row of // pixel j; 2 face rows of 64 B per tile row), and writes the bf16 output tile (CB 16) to tile (y * NWT + wt) * CT + ct. // CT args: [0] U, [1] NC, [2] GX, [3] H, [4] CT, [5] NWI, [6] NWT, [7] W, then the TensorAccessorArgs of the output // and the column table (ROW_MAJOR, one page). Common RT args: [out_addr, coltab_addr]. #include #include "api/dataflow/dataflow_api.h" constexpr uint32_t U = 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 H = get_compile_time_arg_val(3); constexpr uint32_t CT = get_compile_time_arg_val(4); constexpr uint32_t NWI = get_compile_time_arg_val(5); constexpr uint32_t NWT = get_compile_time_arg_val(6); constexpr uint32_t W = get_compile_time_arg_val(7); constexpr auto o_args = TensorAccessorArgs<8>(); constexpr auto c_args = TensorAccessorArgs(); constexpr uint32_t TB = 4096, TB16 = 2048; constexpr uint32_t cb_v = 5, cb_g0 = 6, cb_g1 = 7, cb_ct = 8, cb_out = 16; // the fp32 tile row of pixel j (in V) -> row i of the tile at dst: two 64-byte face rows. RSZ_CPU_GATHER: plain // unrolled word copies on this RISC-V; default: two local L1 -> L1 NoC reads (the NoC moves the bytes, the RISC-V // only issues; one read barrier per gathered tile pair). FORCE_INLINE void copy_row(uint32_t vbase, uint32_t j, uint32_t dst, uint32_t i) { const uint32_t r = j & 31; const uint32_t s = vbase + (j >> 5) * TB + (r >> 4) * 2048 + (r & 15) * 64; const uint32_t d = dst + (i >> 4) * 2048 + (i & 15) * 64; #ifdef RSZ_CPU_GATHER const uint32_t* ps = reinterpret_cast(s); uint32_t* pd = reinterpret_cast(d); #pragma GCC unroll 16 for (uint32_t k = 0; k < 16; ++k) { pd[k] = ps[k]; } #pragma GCC unroll 16 for (uint32_t k = 0; k < 16; ++k) { pd[256 + k] = ps[256 + k]; } #else noc_async_read(get_noc_addr(s), d, 64); noc_async_read(get_noc_addr(s + 1024), d + 1024, 64); #endif } void kernel_main() { const uint32_t core = get_absolute_logical_y() * GX + get_absolute_logical_x(); if (core >= NC) { return; } constexpr uint32_t B = U / NC, E = U % NC; const uint32_t u0 = core * B + (core < E ? core : E); const uint32_t n = B + (core < E ? 1 : 0); if (n == 0) { return; } const auto ao = TensorAccessor(o_args, get_common_arg_val(0), TB16); const auto ac = TensorAccessor(c_args, get_common_arg_val(1), W * 8); cb_reserve_back(cb_ct, 1); const uint32_t ctab = get_write_ptr(cb_ct); noc_async_read(ac.get_noc_addr(0), ctab, W * 8); noc_async_read_barrier(); const uint32_t* col = reinterpret_cast(ctab); // read after the barrier above for (uint32_t u = u0; u < u0 + n; ++u) { const uint32_t ct = u / H, y = u % H; cb_wait_front(cb_v, NWI); asm volatile("" ::: "memory"); // no V load above the wait const uint32_t vbase = get_read_ptr(cb_v); // gather tile wt while the compute kernel blends tile wt - 1 (g0 / g1 hold 2 tiles), then write tile wt - 1 for (uint32_t wt = 0; wt <= NWT; ++wt) { if (wt < NWT) { cb_reserve_back(cb_g0, 1); cb_reserve_back(cb_g1, 1); asm volatile("" ::: "memory"); // no g store above the reserve const uint32_t g0 = get_write_ptr(cb_g0), g1 = get_write_ptr(cb_g1); #ifndef RSZ_SKIP_GATHER for (uint32_t i = 0; i < 32; ++i) { const uint32_t w = wt * 32 + i; copy_row(vbase, col[2 * w], g0, i); copy_row(vbase, col[2 * w + 1], g1, i); } #endif #ifndef RSZ_CPU_GATHER noc_async_read_barrier(); #endif asm volatile("" ::: "memory"); cb_push_back(cb_g0, 1); cb_push_back(cb_g1, 1); } if (wt > 0) { cb_wait_front(cb_out, 1); noc_async_write(get_read_ptr(cb_out), ao.get_noc_addr((y * NWT + wt - 1) * CT + ct), TB16); noc_async_writes_flushed(); cb_pop_front(cb_out, 1); } } cb_pop_front(cb_v, NWI); } noc_async_write_barrier(); }