// SPDX-License-Identifier: Apache-2.0 // Split-row fused fp32 LayerNorm (tt/ln_kernel.py, LN_SPLIT), writer (RISCV_1). Per row: (write_h) the new stream // tile; sends this member's tile for the mean fold (c_11, from the compute) to page j of the root's gather CB c_10 // and raises the root's semaphore 0; on the root, broadcasts the packed mean (c_4, column 0) over the 32 columns and // sends it to page 0 of every member's c_5 (semaphore 1 raised); the same for the squared tile and rstd (page 1); // then writes the output tile. // With kcat_out (KCAT_EMIT) out is the split operand [y_hi | y_hi | y_lo | 1 | 0..] of the next K-concatenated // linear (row tiles Ktp, the kcat_writer layout): y_hi to (r, j) and (r, Wt + j), y_lo to (r, 2 Wt + j); the root // also writes the ones tile (r, 3 Wt) and the zero pad tiles. // CT args: [0] Wt, [1] per-core RT-arg count (P3), [2] write_h, [3] sfpu_bcast, [4] kcat_out, [5] Ktp, then the // TensorAccessorArgs of out and h. // Common RT args: [out_addr, h_addr]. Per-core RT args: as the reader's. #include #include "api/dataflow/dataflow_api.h" constexpr uint32_t Wt = get_compile_time_arg_val(0); constexpr uint32_t write_h = get_compile_time_arg_val(2); constexpr uint32_t sfpu_bcast = get_compile_time_arg_val(3); // the root's compute packs a broadcast tile constexpr uint32_t kcat_out = get_compile_time_arg_val(4); constexpr uint32_t Ktp = get_compile_time_arg_val(5); constexpr auto out_args = TensorAccessorArgs<6>(); constexpr auto h_args = TensorAccessorArgs(); constexpr uint32_t cb_stat = 4, cb_bc = 5, cb_gat = 10, cb_snd = 11, cb_scr = 12, cb_out = 16, cb_hout = 17, cb_lo = 19, cb_one = 20, cb_zero = 21; constexpr uint32_t TB = 4096; FORCE_INLINE void bcast_col(uint32_t src, uint32_t dst) { auto* s = reinterpret_cast(src); auto* d = reinterpret_cast(dst); for (uint32_t fo = 0; fo < 1024; fo += 512) { for (uint32_t ro = 0; ro < 256; ro += 16) { const uint32_t v = s[fo + ro]; volatile tt_l1_ptr uint32_t* l = d + fo + ro; volatile tt_l1_ptr uint32_t* r = l + 256; for (uint32_t c = 0; c < 16; ++c) { l[c] = v; r[c] = v; } } } } void kernel_main() { const uint32_t out_addr = get_common_arg_val(0); const uint32_t h_addr = get_common_arg_val(1); const uint32_t row0 = get_arg_val(0); const uint32_t n_rows = get_arg_val(1); const uint32_t stride = get_arg_val(2); const uint32_t j = get_arg_val(3); const uint32_t root_x = get_arg_val(4); const uint32_t root_y = get_arg_val(5); if (n_rows == 0) { return; } const bool root = j == 0; const auto out = TensorAccessor(out_args, out_addr, TB); const auto hacc = TensorAccessor(h_args, h_addr, TB); const uint32_t gat_base = get_write_ptr(cb_gat); // the same L1 address on every core of the program const uint32_t bc_base = get_write_ptr(cb_bc); const uint64_t root_sem = get_noc_addr(root_x, root_y, get_semaphore(0)); const uint32_t sem_b_addr = get_semaphore(1); cb_reserve_back(cb_scr, 1); const uint32_t scr = get_write_ptr(cb_scr); auto send_to_root = [&]() { cb_wait_front(cb_snd, 1); noc_async_write(get_read_ptr(cb_snd), get_noc_addr(root_x, root_y, gat_base + j * TB), TB); noc_async_write_barrier(); noc_semaphore_inc(root_sem, 1); cb_pop_front(cb_snd, 1); }; auto bcast_out = [&](uint32_t page) { cb_wait_front(cb_stat, 1); uint32_t src = get_read_ptr(cb_stat); if constexpr (!sfpu_bcast) { bcast_col(src, scr); src = scr; } for (uint32_t m = 0; m < Wt; ++m) { const uint32_t mx = get_arg_val(6 + 2 * m), my = get_arg_val(7 + 2 * m); noc_async_write(src, get_noc_addr(mx, my, bc_base + page * TB), TB); } noc_async_write_barrier(); cb_pop_front(cb_stat, 1); for (uint32_t m = 0; m < Wt; ++m) { const uint32_t mx = get_arg_val(6 + 2 * m), my = get_arg_val(7 + 2 * m); noc_semaphore_inc(get_noc_addr(mx, my, sem_b_addr), 1); } }; uint32_t one_ptr = 0, zero_ptr = 0; if constexpr (kcat_out) { if (root) { // ones tile: element (i, c) at face (i / 16) * 2 + (c / 16), offset (i % 16) * 16 + c % 16 cb_reserve_back(cb_one, 1); one_ptr = get_write_ptr(cb_one); auto* p = reinterpret_cast(one_ptr); for (uint32_t i = 0; i < 1024; ++i) { p[i] = 0; } for (uint32_t i = 0; i < 32; ++i) { const uint32_t base = (i / 16) * 512 + (i % 16) * 16; p[base] = 0x3F800000u; p[base + 1] = 0x3F800000u; } if constexpr (Ktp > 3 * Wt + 1) { cb_reserve_back(cb_zero, 1); zero_ptr = get_write_ptr(cb_zero); auto* z = reinterpret_cast(zero_ptr); for (uint32_t i = 0; i < 1024; ++i) { z[i] = 0; } } } } for (uint32_t i = 0; i < n_rows; ++i) { const uint32_t r = row0 + i * stride; if constexpr (write_h) { cb_wait_front(cb_hout, 1); noc_async_write(get_read_ptr(cb_hout), hacc.get_noc_addr(r * Wt + j), TB); noc_async_writes_flushed(); cb_pop_front(cb_hout, 1); } send_to_root(); if (root) { bcast_out(0); } send_to_root(); if (root) { bcast_out(1); } if constexpr (kcat_out) { const uint32_t ob = r * Ktp; cb_wait_front(cb_out, 1); const uint32_t hp = get_read_ptr(cb_out); noc_async_write(hp, out.get_noc_addr(ob + j), TB); noc_async_write(hp, out.get_noc_addr(ob + Wt + j), TB); cb_wait_front(cb_lo, 1); noc_async_write(get_read_ptr(cb_lo), out.get_noc_addr(ob + 2 * Wt + j), TB); if (root) { noc_async_write(one_ptr, out.get_noc_addr(ob + 3 * Wt), TB); for (uint32_t z = 3 * Wt + 1; z < Ktp; ++z) { noc_async_write(zero_ptr, out.get_noc_addr(ob + z), TB); } } noc_async_writes_flushed(); cb_pop_front(cb_out, 1); cb_pop_front(cb_lo, 1); } else { cb_wait_front(cb_out, 1); noc_async_write(get_read_ptr(cb_out), out.get_noc_addr(r * Wt + j), TB); noc_async_writes_flushed(); cb_pop_front(cb_out, 1); } } noc_async_write_barrier(); noc_async_atomic_barrier(); }