685 lines
29 KiB
C++
685 lines
29 KiB
C++
#include <stdint.h>
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#include <vx_intrinsics.h>
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#include <vx_print.h>
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#include <vx_spawn.h>
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#include "common.h"
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#include "sgemm_impl.hpp"
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#include "include/gemmini.h"
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#include "gemmini_mmio.h"
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#include "flash_impl.hpp"
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static_assert(GEMMINI_DMA && !WARP_SPECIALIZED,
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"GEMMINI_DMA should be set and WARP_SPECIALIZED unset");
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void kernel_body(int task_id, kernel_arg_t *__UNIFORM__ arg) {
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// @perf: All threads are running these compute whose result is mostly same
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// across the threadblock
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#ifdef RADIANCE
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constexpr uint32_t cores_per_cluster = CORES_PER_CLUSTER;
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#else
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constexpr uint32_t cores_per_cluster = 1;
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#endif
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// FIXME: headdim not considered
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constexpr uint32_t threads_per_threadblock_theoretical =
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(B_ROW * B_COL) / (ELEM_PER_THREAD);
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constexpr uint32_t hw_threads_per_cluster =
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CORES_PER_CLUSTER * NUM_THREADS * NUM_WARPS;
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// cap maximum threadblock size to # of HW threads in cluster, to prevent
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// multiple "wave" invocations which slows down the kernel
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constexpr uint32_t threads_per_threadblock =
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(threads_per_threadblock_theoretical > hw_threads_per_cluster)
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? hw_threads_per_cluster
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: threads_per_threadblock_theoretical;
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constexpr uint32_t threadblocks_per_cluster =
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hw_threads_per_cluster / threads_per_threadblock;
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constexpr uint32_t warps_per_threadblock_per_core =
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NUM_WARPS / threadblocks_per_cluster;
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const uint32_t threadblock_id = task_id / threads_per_threadblock;
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const uint32_t threadblock_id_in_cluster =
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threadblock_id % threadblocks_per_cluster;
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const uint32_t tid_in_threadblock = task_id % threads_per_threadblock;
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const uint32_t warp_id = tid_in_threadblock / NUM_THREADS;
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constexpr uint32_t warps_in_threadblock =
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threads_per_threadblock / NUM_THREADS;
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// warpgroup context
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constexpr uint32_t threads_per_warpgroup =
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threads_per_threadblock / (WARP_SPECIALIZED ? 2 : 1);
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constexpr uint32_t warpgroups_per_cluster =
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threadblocks_per_cluster * (WARP_SPECIALIZED ? 2 : 1);
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const uint32_t warps_per_warpgroup_per_core =
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NUM_WARPS / warpgroups_per_cluster;
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const uint32_t warpgroup_id = task_id / threads_per_warpgroup;
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const uint32_t warpgroup_id_in_cluster =
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warpgroup_id % warpgroups_per_cluster;
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const uint32_t tid_in_warpgroup = tid_in_threadblock % threads_per_warpgroup;
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const uint32_t dim_seqlen = arg->dim_seqlen;
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const uint32_t dim_headdim = arg->dim_headdim;
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// get global memory addresses from kernel arguments
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const float *gmem_Q = reinterpret_cast<float *>(arg->addr_q);
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const float *gmem_K = reinterpret_cast<float *>(arg->addr_k);
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const float *gmem_V = reinterpret_cast<float *>(arg->addr_v);
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float *gmem_O = reinterpret_cast<float *>(arg->addr_o);
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float *gmem_tmp_d0 = reinterpret_cast<float *>(0xd0000000UL);
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float *gmem_tmp_d1 = reinterpret_cast<float *>(0xd1000000UL);
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float *gmem_tmp_d2 = reinterpret_cast<float *>(0xd2000000UL);
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float *gmem_tmp_d3 = reinterpret_cast<float *>(0xd3000000UL);
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float *gmem_tmp_d4 = reinterpret_cast<float *>(0xd4000000UL);
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float *gmem_tmp_d5 = reinterpret_cast<float *>(0xd5000000UL);
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float *gmem_tmp_d6 = reinterpret_cast<float *>(0xd6000000UL);
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float *gmem_tmp_d7 = reinterpret_cast<float *>(0xd7000000UL);
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float *gmem_tmp_e0 = reinterpret_cast<float *>(0xe0000000UL);
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float *gmem_tmp_e1 = reinterpret_cast<float *>(0xe1000000UL);
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float *gmem_tmp_e2 = reinterpret_cast<float *>(0xe2000000UL);
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float *gmem_tmp_e3 = reinterpret_cast<float *>(0xe3000000UL);
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// static shared memory allocation
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constexpr uint32_t smem_Q_size = B_ROW * HEADDIM;
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constexpr uint32_t smem_K_size = B_COL * HEADDIM;
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constexpr uint32_t smem_QK_size = B_ROW * B_COL;
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constexpr uint32_t smem_V_size = B_COL * HEADDIM;
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constexpr uint32_t smem_O_size = B_COL * HEADDIM;
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static_assert(
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threads_per_threadblock == NUM_WARPS * NUM_THREADS * CORES_PER_CLUSTER,
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"flashattention kernel assumes 1 threadblock occupancy per cluster");
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uint8_t *smem_per_threadblock = reinterpret_cast<uint8_t *>(
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DEV_SMEM_START_ADDR);
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float *smem_cursor = reinterpret_cast<float *>(smem_per_threadblock);
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// float *smem_cursor = reinterpret_cast<float *>(DEV_FAKE_SMEM_START_ADDR);
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float *smem_Q0 = smem_cursor;
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smem_cursor += smem_Q_size;
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float *smem_Q1 = smem_cursor;
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smem_cursor += smem_Q_size;
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float *smem_K0 = smem_cursor;
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smem_cursor += smem_K_size;
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float *smem_K1 = smem_cursor;
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smem_cursor += smem_K_size;
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float *smem_V0 = smem_cursor;
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smem_cursor += smem_V_size;
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float *smem_V1 = smem_cursor;
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smem_cursor += smem_V_size;
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float *smem_S0 = smem_cursor;
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smem_cursor += smem_QK_size;
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float *smem_S1 = smem_cursor;
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smem_cursor += smem_QK_size;
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float *smem_P0 = smem_S0; // in-place update
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float *smem_P1 = smem_S1; // in-place update
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float *smem_O0 = smem_cursor;
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smem_cursor += smem_O_size;
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float *smem_O1 = smem_cursor;
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smem_cursor += smem_O_size;
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// NOTE: this has to match with smem_*
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static_assert(sizeof(elem_t) == sizeof(float));
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constexpr uint32_t spad_addr_factor = DIM * sizeof(elem_t);
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constexpr uint32_t spad_addr_Q0 = 0;
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constexpr uint32_t spad_addr_Q1 =
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spad_addr_Q0 + (smem_Q_size * sizeof(float) / spad_addr_factor);
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constexpr uint32_t spad_addr_K0 =
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spad_addr_Q1 + (smem_Q_size * sizeof(float) / spad_addr_factor);
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constexpr uint32_t spad_addr_K1 =
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spad_addr_K0 + (smem_K_size * sizeof(float) / spad_addr_factor);
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constexpr uint32_t spad_addr_V0 =
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spad_addr_K1 + (smem_K_size * sizeof(float) / spad_addr_factor);
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constexpr uint32_t spad_addr_V1 =
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spad_addr_V0 + (smem_V_size * sizeof(float) / spad_addr_factor);
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constexpr uint32_t spad_addr_S0 =
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spad_addr_V1 + (smem_V_size * sizeof(float) / spad_addr_factor);
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constexpr uint32_t spad_addr_S1 =
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spad_addr_S0 + (smem_QK_size * sizeof(float) / spad_addr_factor);
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// allocate rowmax/rowsum storage at the end of the sharedmem address space
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constexpr uint32_t smem_rowmax_size = B_ROW * ROWMAX_SETS;
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constexpr uint32_t smem_rowsum_size = B_ROW;
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constexpr uint32_t smem_O_row_scale_size = B_ROW;
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// FIXME: dangerous
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smem_cursor = reinterpret_cast<float *>(0xff038000);
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float *smem_rowmax_0 = smem_cursor;
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smem_cursor += smem_rowmax_size;
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float *smem_rowmax_1 = smem_cursor;
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smem_cursor += smem_rowmax_size;
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float *smem_rowsum_0 = smem_cursor;
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smem_cursor += smem_rowsum_size;
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float *smem_rowsum_1 = smem_cursor;
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smem_cursor += smem_rowsum_size;
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float *smem_O_row_scale_0 = smem_cursor;
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smem_cursor += smem_O_row_scale_size;
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float *smem_O_row_scale_1 = smem_cursor;
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smem_cursor += smem_O_row_scale_size;
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// sharedmem "scratchpad" area to put temporary data, e.g. for tree reduction
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// in rowsum
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// NOTE: out-of bounds is not checked
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constexpr uint32_t smem_scratchpad_size =
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threads_per_warpgroup * 2 /*arbitrary slack*/;
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float *smem_scratchpad_0 = smem_cursor;
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smem_cursor += smem_scratchpad_size;
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float *smem_scratchpad_1 = smem_cursor;
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smem_cursor += smem_scratchpad_size;
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// initialize rowmax/rowsum values in sharedmem
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thread_block_init_sharedmem(tid_in_warpgroup, threads_per_warpgroup, smem_O0,
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smem_rowmax_0, smem_rowsum_0, smem_O_row_scale_0);
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thread_block_init_sharedmem(tid_in_warpgroup, threads_per_warpgroup, smem_O1,
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smem_rowmax_1, smem_rowsum_1, smem_O_row_scale_1);
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constexpr uint32_t global_barrier_id = NUM_WARPS - 1; // arbitrary
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// delay warpgroup 0 by 1 iteration to do ping-pong scheduling
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if (WARP_SPECIALIZED && warpgroup_id == 1) {
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threadblock_barrier(global_barrier_id, warps_per_threadblock_per_core);
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}
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static_assert(!GEMMINI_DMA || Q_IS_K_MAJOR,
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"DMA code assumes Q matrix is stored K-major");
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// skip everything except DMA in the loop FSM
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constexpr uint32_t skips =
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loop_matmul_skips(/*skip_lda=*/0, /*skip_ldb=*/0, /*skip_ldd=*/1,
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/*skip_ex=*/1, /*skip_stc=*/1);
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constexpr uint32_t skips_mvout_spad =
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loop_matmul_skips(/*skip_lda=*/1, /*skip_ldb=*/1, /*skip_ldd=*/1,
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/*skip_ex=*/1, /*skip_stc=*/0);
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if constexpr (GEMMINI_DMA) {
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if (tid_in_warpgroup == 0) {
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gemmini_extended_config_ex(WEIGHT_STATIONARY, 0, 0, 1, 0, 0);
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// configure DMA for the full Q matrix
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gemmini_extended3_config_ld(HEADDIM * sizeof(elem_t), MVIN_SCALE_IDENTITY,
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false, 0);
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// configure DMA for the full K matrix
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gemmini_extended3_config_ld(dim_seqlen * sizeof(elem_t), MVIN_SCALE_IDENTITY,
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false, 1);
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// configure DMA for Q*K store
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gemmini_extended_config_st(B_COL * sizeof(elem_t), 0,
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MVIN_SCALE_IDENTITY);
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gemmini_fence();
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}
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}
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// NOTE about barriers: Placing barriers around thread-divergent branches may
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// cause bugs, because the Vortex core doesn't check for tmask for barriers.
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// The compiler might decide to duplicate vx_bar into both paths of a
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// conditional branch, which will get evaluated twice because of the way
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// branches are handled in SIMT; this might result in stalls especially when
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// other warps behave differently on the branch condition.
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// threadblock_barrier(warpgroup_id_in_cluster, warps_per_warpgroup_per_core);
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// move Q and K into SMEM before the loop starts
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//
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static_assert(B_ROW == B_COL, "currently only supports square tiles");
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asm volatile("dma_move_start_%=:" ::);
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if (tid_in_warpgroup == 0) {
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// make sure to read from the correct row of Q
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const float *gmem_Q_tile = gmem_Q + HEADDIM * B_ROW * warpgroup_id;
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const float *gmem_K_tile = gmem_K;
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// configure the GMEM addresses for the DMA to read from
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ROCC_INSTRUCTION_RS1_RS2(XCUSTOM_ACC, (uint64_t)(gmem_Q_tile),
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(uint64_t)(gmem_K_tile), k_LOOP_WS_CONFIG_ADDRS_AB)
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// configure address strides for the DMA
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GEMMINI_CISC_CMD_R((dim_seqlen << 16) | (HEADDIM << 8) |
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8 /*k_LOOP_WS_CONFIG_STRIDES_AB*/);
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gemmini_fence();
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#define GEMMINI_DMA_CISC
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#ifdef GEMMINI_DMA_CISC
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GEMMINI_CISC_CMD_I(10);
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gemmini_fence();
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#else
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// do DMA
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//
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// among other things, this also configures CONFIG_BOUNDS so that the
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// DMA knows the full matrix dimensions
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sp_tiled_matmul_full_spad_ws(
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spad_addr_Q, spad_addr_K,
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/*spad_D=*/0, /*spad_C=*/spad_addr_S,
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/*I=*/(B_ROW / DIM), /*J=*/(B_COL / DIM), /*K=*/(HEADDIM / DIM),
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/*pad_I=*/0, /*pad_J=*/0, /*pad_K=*/0,
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/*a_transpose=*/0, /*b_transpose=*/0, /*full_C=*/0, /*low_D=*/0,
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/*acc=*/0, /*act=*/NO_ACTIVATION, /*skips=*/skips);
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gemmini_fence();
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#endif
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// re-configure DMA for K and V load that will later happen in the loop
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// GMEM addr stride for K
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gemmini_extended3_config_ld(dim_seqlen * sizeof(elem_t),
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MVIN_SCALE_IDENTITY, false, 0);
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// GMEM addr stride for V
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gemmini_extended3_config_ld(HEADDIM * sizeof(elem_t), MVIN_SCALE_IDENTITY,
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false, 1);
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gemmini_fence();
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}
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asm volatile("dma_move_end_%=:" ::);
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// protect write to SMEM
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threadblock_barrier(warpgroup_id_in_cluster, warps_per_warpgroup_per_core);
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// if constexpr (DEBUG) {
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// thread_block_copy_tile<B_ROW, HEADDIM>(smem_Q0, gmem_tmp_d0, tid_in_warpgroup,
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// threads_per_warpgroup, warpgroup_id_in_cluster);
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// thread_block_copy_tile<HEADDIM, B_COL>(smem_K0, gmem_tmp_d1, tid_in_warpgroup,
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// threads_per_warpgroup, warpgroup_id_in_cluster);
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// threadblock_barrier(warpgroup_id_in_cluster, warps_per_warpgroup_per_core);
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// }
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asm volatile ("tile_loop_start_%=:" :: );
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// "inner loop" along the columns of K^T
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const uint32_t k_tiles = (dim_seqlen / B_COL);
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for (uint32_t tile_k = 0; tile_k < k_tiles; tile_k++) {
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// select the correct double buffer by tile iteration
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float *smem_Q = (tile_k & 1) ? smem_Q1 : smem_Q0; // FIXME
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float *smem_K = (tile_k & 1) ? smem_K1 : smem_K0; // FIXME
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float *smem_V = (tile_k & 1) ? smem_V1 : smem_V0; // FIXME
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float *smem_S = (tile_k & 1) ? smem_S1 : smem_S0; // FIXME
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float *smem_O = (tile_k & 1) ? smem_O1 : smem_O0; // FIXME
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float *smem_P = smem_S; // FIXME
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float *smem_O_row_scale =
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(tile_k & 1) ? smem_O_row_scale_1 : smem_O_row_scale_0;
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float *smem_rowmax = (tile_k & 1) ? smem_rowmax_1 : smem_rowmax_0;
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float *smem_rowsum = (tile_k & 1) ? smem_rowsum_1 : smem_rowsum_0;
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float *smem_scratchpad =
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(tile_k & 1) ? smem_scratchpad_1 : smem_scratchpad_0;
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const auto spad_addr_Q = (tile_k & 1) ? spad_addr_Q1 : spad_addr_Q0;
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const auto spad_addr_K = (tile_k & 1) ? spad_addr_K1 : spad_addr_K0;
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const auto spad_addr_V = (tile_k & 1) ? spad_addr_V1 : spad_addr_V0;
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const auto spad_addr_S = (tile_k & 1) ? spad_addr_S1 : spad_addr_S0;
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// GEMM I: S = Q*K
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//
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asm volatile("gemm_qk_start_%=:" ::);
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if (tid_in_warpgroup == 0) {
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if (tile_k == 0) {
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gemmini_fence();
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GEMMINI_CISC_CMD_I(0);
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} else if (tile_k & 1) {
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gemmini_fence();
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GEMMINI_CISC_CMD_I(2);
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} else {
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gemmini_fence();
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GEMMINI_CISC_CMD_I(1);
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}
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// mvout to SMEM
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gemmini_fence();
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gemmini_fence();
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gemmini_fence();
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gemmini_fence();
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#if 0
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// weight-stationary matmul loop
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#define gemmini_loop_ws(I, J, K, pad_I, pad_J, pad_K, A, B, D, C, A_stride, B_stride, D_stride, C_stride, A_transpose, B_transpose, full_C, low_D, ex_accumulate, act, a_spad_id, b_spad_id, is_resadd) \
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{ \
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ROCC_INSTRUCTION_RS1_RS2(XCUSTOM_ACC, ((uint64_t)(pad_K) << 32) | ((uint64_t)(pad_J) << 16) | (uint64_t)(pad_I), ((uint64_t)(K) << 32) | ((uint64_t)(J) << 16) | (uint64_t)(I), k_LOOP_WS_CONFIG_BOUNDS) \
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ROCC_INSTRUCTION_RS1_RS2(XCUSTOM_ACC, A, B, k_LOOP_WS_CONFIG_ADDRS_AB) \
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ROCC_INSTRUCTION_RS1_RS2(XCUSTOM_ACC, D, C, k_LOOP_WS_CONFIG_ADDRS_DC) \
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ROCC_INSTRUCTION_RS1_RS2(XCUSTOM_ACC, A_stride, B_stride, k_LOOP_WS_CONFIG_STRIDES_AB) \
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ROCC_INSTRUCTION_RS1_RS2(XCUSTOM_ACC, D_stride, C_stride, k_LOOP_WS_CONFIG_STRIDES_DC) \
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ROCC_INSTRUCTION_RS1_RS2(XCUSTOM_ACC, ((uint64_t)(a_spad_id) << 18) | ((uint64_t)(b_spad_id) << 16) | ((uint64_t)(act) << 8) | ((low_D) << 2) | ((full_C) << 1) | (ex_accumulate), ((is_resadd) << 2) | ((B_transpose) << 1) | (A_transpose), k_LOOP_WS) \
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}
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#endif
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// GEMMINI_CISC_CMD_I(9);
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sp_tiled_matmul_full_spad_ws(
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/*spad_A=*/spad_addr_Q, /*spad_B=*/spad_addr_K,
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/*spad_D=*/0, /*spad_C=*/spad_addr_S,
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/*I=*/(B_ROW / DIM), /*J=*/(B_COL / DIM), /*K=*/(HEADDIM / DIM),
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/*pad_I=*/0, /*pad_J=*/0, /*pad_K=*/0,
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/*a_transpose=*/0, /*b_transpose=*/0, /*full_C=*/0, /*low_D=*/0,
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/*acc=*/0, /*act=*/NO_ACTIVATION, /*skips=*/skips_mvout_spad);
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gemmini_fence();
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if constexpr (DEBUG) {
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// for copy-out to GMEM
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gemmini_fence();
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}
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}
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// thread reconvergence
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threadblock_barrier(warpgroup_id_in_cluster, warps_per_warpgroup_per_core);
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asm volatile("gemm_qk_finish_%=:" ::);
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if constexpr (DEBUG) {
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if (warpgroup_id == 0) {
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|
if (tile_k == 0) {
|
|
thread_block_copy_tile<B_ROW, B_COL>(smem_S, gmem_tmp_d0,
|
|
tid_in_warpgroup, threads_per_warpgroup,
|
|
warpgroup_id_in_cluster);
|
|
} else if (tile_k == 1) {
|
|
thread_block_copy_tile<B_ROW, B_COL>(smem_S, gmem_tmp_d1,
|
|
tid_in_warpgroup, threads_per_warpgroup,
|
|
warpgroup_id_in_cluster);
|
|
}
|
|
|
|
threadblock_barrier(warpgroup_id_in_cluster,
|
|
warps_per_warpgroup_per_core);
|
|
}
|
|
}
|
|
|
|
// inter-warpgroup barrier before online softmax
|
|
threadblock_barrier(global_barrier_id, warps_per_threadblock_per_core);
|
|
|
|
#if 0
|
|
// Online softmax
|
|
//
|
|
thread_block_online_softmax(smem_S, smem_P, tid_in_warpgroup,
|
|
threads_per_warpgroup, warpgroup_id_in_cluster,
|
|
smem_scratchpad, smem_rowmax, smem_rowsum,
|
|
smem_O_row_scale);
|
|
|
|
// FIXME: unnecessary?
|
|
threadblock_barrier(warpgroup_id_in_cluster, warps_per_warpgroup_per_core);
|
|
|
|
// data movement for K and V
|
|
//
|
|
// Q stays in SMEM for the entire loop
|
|
asm volatile("move_k_v_start_%=:" ::);
|
|
if constexpr (GEMMINI_DMA) {
|
|
// NOTE: Beware of race conditions; with warp specialization, we need to
|
|
// make sure below command code to DMA is not executed simultaneously
|
|
// from the two warpgroups (which will result in hardware fault).
|
|
// Currently the ping-pong scheduling scheme prevents that.
|
|
if (tid_in_warpgroup == 0) {
|
|
// configure GMEM addresses for K and V tiles
|
|
// load K for the next iteration
|
|
const float *gmem_K_tile = gmem_K + (B_COL * (tile_k + 1));
|
|
// load V for the current iteration
|
|
const float *gmem_V_tile = gmem_V + (HEADDIM * B_COL * tile_k);
|
|
ROCC_INSTRUCTION_RS1_RS2(XCUSTOM_ACC, (uint64_t)(gmem_K_tile),
|
|
(uint64_t)(gmem_V_tile),
|
|
k_LOOP_WS_CONFIG_ADDRS_AB)
|
|
// configure address strides for the DMA
|
|
// FIXME: unnecessary?
|
|
GEMMINI_CISC_CMD_R((HEADDIM /*V*/ << 16) | (dim_seqlen /*KT*/ << 8) |
|
|
8 /*k_LOOP_WS_CONFIG_STRIDES_AB*/);
|
|
gemmini_fence();
|
|
|
|
// do DMA
|
|
sp_tiled_matmul_full_spad_ws(
|
|
spad_addr_K, spad_addr_V,
|
|
/*spad_D=*/0, /*spad_C=*/spad_addr_S,
|
|
/*I=*/(HEADDIM / DIM), /*J=*/(HEADDIM / DIM), /*K=*/(B_COL / DIM),
|
|
/*pad_I=*/0, /*pad_J=*/0, /*pad_K=*/0,
|
|
/*a_transpose=*/0, /*b_transpose=*/0, /*full_C=*/0, /*low_D=*/0,
|
|
/*acc=*/0, /*act=*/NO_ACTIVATION, /*skips=*/skips);
|
|
gemmini_fence();
|
|
}
|
|
} else {
|
|
// load K for the next iteration
|
|
load_tile_to_smem<float, MemLayout::MN_major, MemLayout::MN_major, B_COL,
|
|
HEADDIM, threads_per_warpgroup>(
|
|
dim_seqlen, tile_k + 1, 0 /* dim_k == headdim */, gmem_K, smem_K,
|
|
tid_in_warpgroup);
|
|
|
|
// load V for the current iteration
|
|
// V dimension is [seqlen, headdim], stored N(headdim)-major
|
|
load_tile_to_smem<float, MemLayout::MN_major, MemLayout::MN_major, B_COL,
|
|
HEADDIM, threads_per_warpgroup>(
|
|
HEADDIM, 0 /* full N-dimension */, tile_k, gmem_V, smem_V,
|
|
tid_in_warpgroup);
|
|
}
|
|
asm volatile("move_k_v_finish_%=:" ::);
|
|
|
|
// protect write to SMEM
|
|
threadblock_barrier(warpgroup_id_in_cluster, warps_per_warpgroup_per_core);
|
|
|
|
if constexpr (DEBUG) {
|
|
if (warpgroup_id == 0) {
|
|
if (tile_k == 0) {
|
|
thread_block_copy_rowmax(smem_rowmax, gmem_tmp_e0, tid_in_warpgroup,
|
|
threads_per_warpgroup,
|
|
warpgroup_id_in_cluster);
|
|
thread_block_copy_rowmax(smem_rowsum, gmem_tmp_e2, tid_in_warpgroup,
|
|
threads_per_warpgroup,
|
|
warpgroup_id_in_cluster);
|
|
} else if (tile_k == 1) {
|
|
thread_block_copy_rowmax(smem_rowmax, gmem_tmp_e1, tid_in_warpgroup,
|
|
threads_per_warpgroup,
|
|
warpgroup_id_in_cluster);
|
|
thread_block_copy_rowmax(smem_rowsum, gmem_tmp_e3, tid_in_warpgroup,
|
|
threads_per_warpgroup,
|
|
warpgroup_id_in_cluster);
|
|
}
|
|
|
|
threadblock_barrier(warpgroup_id_in_cluster,
|
|
warps_per_warpgroup_per_core);
|
|
}
|
|
}
|
|
|
|
// inter-warpgroup barrier before GEMM II
|
|
threadblock_barrier(global_barrier_id, warps_per_threadblock_per_core);
|
|
|
|
// Oi rescale
|
|
thread_block_O_rescale(smem_O, smem_O /*in-place*/,
|
|
smem_O_row_scale, tid_in_warpgroup,
|
|
threads_per_warpgroup, warpgroup_id_in_cluster);
|
|
|
|
// rescale-to-PV-GEMM barrier
|
|
threadblock_barrier(warpgroup_id_in_cluster, warps_per_warpgroup_per_core);
|
|
|
|
if constexpr (DEBUG) {
|
|
if (warpgroup_id == 0) {
|
|
// O before PV
|
|
if (tile_k == 0) {
|
|
thread_block_copy_tile<B_ROW, B_COL>(smem_P, gmem_tmp_d2, tid_in_warpgroup,
|
|
threads_per_warpgroup,
|
|
warpgroup_id_in_cluster);
|
|
thread_block_copy_tile<B_ROW, HEADDIM>(smem_O, gmem_tmp_d4, tid_in_warpgroup,
|
|
threads_per_warpgroup,
|
|
warpgroup_id_in_cluster);
|
|
} else if (tile_k == 1) {
|
|
thread_block_copy_tile<B_ROW, B_COL>(smem_P, gmem_tmp_d3, tid_in_warpgroup,
|
|
threads_per_warpgroup,
|
|
warpgroup_id_in_cluster);
|
|
thread_block_copy_tile<B_ROW, HEADDIM>(smem_O, gmem_tmp_d5, tid_in_warpgroup,
|
|
threads_per_warpgroup,
|
|
warpgroup_id_in_cluster);
|
|
}
|
|
|
|
threadblock_barrier(warpgroup_id_in_cluster,
|
|
warps_per_warpgroup_per_core);
|
|
}
|
|
}
|
|
|
|
// GEMM II: O = O + P*V
|
|
|
|
asm volatile("gemm_pv_start_%=:" ::);
|
|
|
|
if constexpr (!WARP_SPECIALIZED) {
|
|
// clear out accumulators before GEMM
|
|
initialize_accum_regs<0>();
|
|
initialize_accum_regs<1>();
|
|
|
|
if constexpr (GEMMINI_DMA) {
|
|
thread_block_gemm_single_tile<
|
|
float, MemLayout::K_major /* P matrix is row-major */,
|
|
MemLayout::block_row_major, B_ROW, HEADDIM, B_COL,
|
|
/*leading_dim_a=*/0, /*leading_dim_b=*/0,
|
|
/*load_accum=*/true,
|
|
/*write_to_smem=*/true>(
|
|
smem_P, smem_V, smem_O /*load accum*/, smem_O, tid_in_warpgroup,
|
|
threads_per_warpgroup, warpgroups_per_cluster,
|
|
warpgroup_id_in_cluster);
|
|
} else {
|
|
thread_block_gemm_single_tile<float, MemLayout::K_major,
|
|
MemLayout::MN_major, B_ROW, HEADDIM,
|
|
B_COL,
|
|
/*leading_dim_a=*/0, /*leading_dim_b=*/0,
|
|
/*load_accum=*/true,
|
|
/*write_to_smem=*/true>(
|
|
smem_P, smem_V, smem_O /*load accum*/, smem_O, tid_in_warpgroup,
|
|
threads_per_warpgroup, warpgroups_per_cluster,
|
|
warpgroup_id_in_cluster);
|
|
// FIXME: wrong but fast
|
|
// thread_block_gemm_single_tile<float, MemLayout::MN_major,
|
|
// MemLayout::MN_major,
|
|
// B_ROW, HEADDIM, B_COL,
|
|
// /*leading_dim_a=*/0,
|
|
// /*leading_dim_b=*/0,
|
|
// /*load_accum=*/true,
|
|
// /*write_to_smem=*/true>(
|
|
// smem_P, smem_V, smem_O /*load accum*/, smem_O,
|
|
// tid_in_warpgroup, threads_per_warpgroup,
|
|
// warpgroups_per_cluster, warpgroup_id_in_cluster);
|
|
}
|
|
} else {
|
|
// when warp-specialized, there's only enough warps to do 64x32 tile
|
|
// size so we need to do 2 GEMM calls
|
|
static_assert(B_ROW / 2 == 32,
|
|
"tile size assumption for warp-specialization not met");
|
|
|
|
// assumes smem_P is K-major
|
|
float *smem_P_half0 = smem_P;
|
|
float *smem_P_half1 = smem_P + (B_ROW / 2) * B_COL;
|
|
float *smem_O_half0 = smem_O;
|
|
float *smem_O_half1 = smem_O + (B_ROW / 2) * HEADDIM;
|
|
|
|
// clear out accumulators before GEMM
|
|
initialize_accum_regs<0>();
|
|
initialize_accum_regs<1>();
|
|
|
|
// split by rows into 2 chunks
|
|
if constexpr (GEMMINI_DMA) {
|
|
if constexpr (GEMMINI_DMA_FAST) {
|
|
thread_block_gemm_single_tile<float, MemLayout::MN_major,
|
|
MemLayout::MN_major, B_ROW / 2, HEADDIM,
|
|
B_COL,
|
|
/*leading_dim_a=*/0,
|
|
/*leading_dim_b=*/0,
|
|
/*load_accum=*/true,
|
|
/*write_to_smem=*/true>(
|
|
smem_P_half0, smem_V, smem_O_half0 /*load accum*/, smem_O_half0,
|
|
tid_in_warpgroup, threads_per_warpgroup, warpgroups_per_cluster,
|
|
warpgroup_id_in_cluster);
|
|
} else {
|
|
thread_block_gemm_single_tile<
|
|
float, MemLayout::K_major /* P matrix is row-major */,
|
|
MemLayout::block_row_major, B_ROW / 2, HEADDIM, B_COL,
|
|
/*leading_dim_a=*/0,
|
|
/*leading_dim_b=*/0,
|
|
/*load_accum=*/true,
|
|
/*write_to_smem=*/true>(
|
|
smem_P_half0, smem_V, smem_O_half0 /*load accum*/, smem_O_half0,
|
|
tid_in_warpgroup, threads_per_warpgroup, warpgroups_per_cluster,
|
|
warpgroup_id_in_cluster);
|
|
}
|
|
} else {
|
|
thread_block_gemm_single_tile<
|
|
float, MemLayout::K_major, MemLayout::MN_major, B_ROW / 2, HEADDIM,
|
|
B_COL, /*leading_dim_a=*/0, /*leading_dim_b=*/0,
|
|
/*load_accum=*/true,
|
|
/*write_to_smem=*/true>(
|
|
smem_P_half0, smem_V, smem_O_half0 /*load accum*/, smem_O_half0,
|
|
tid_in_warpgroup, threads_per_warpgroup, warpgroups_per_cluster,
|
|
warpgroup_id_in_cluster);
|
|
}
|
|
|
|
initialize_accum_regs<0>();
|
|
initialize_accum_regs<1>();
|
|
|
|
if constexpr (GEMMINI_DMA) {
|
|
if constexpr (GEMMINI_DMA_FAST) {
|
|
thread_block_gemm_single_tile<float, MemLayout::MN_major,
|
|
MemLayout::MN_major, B_ROW / 2, HEADDIM,
|
|
B_COL,
|
|
/*leading_dim_a=*/0,
|
|
/*leading_dim_b=*/0,
|
|
/*load_accum=*/true,
|
|
/*write_to_smem=*/true>(
|
|
smem_P_half1, smem_V, smem_O_half1 /*load accum*/, smem_O_half1,
|
|
tid_in_warpgroup, threads_per_warpgroup, warpgroups_per_cluster,
|
|
warpgroup_id_in_cluster);
|
|
} else {
|
|
thread_block_gemm_single_tile<
|
|
float, MemLayout::K_major /* P matrix is row-major */,
|
|
MemLayout::block_row_major, B_ROW / 2, HEADDIM, B_COL,
|
|
/*leading_dim_a=*/0,
|
|
/*leading_dim_b=*/0,
|
|
/*load_accum=*/true,
|
|
/*write_to_smem=*/true>(
|
|
smem_P_half1, smem_V, smem_O_half1 /*load accum*/, smem_O_half1,
|
|
tid_in_warpgroup, threads_per_warpgroup, warpgroups_per_cluster,
|
|
warpgroup_id_in_cluster);
|
|
}
|
|
} else {
|
|
thread_block_gemm_single_tile<
|
|
float, MemLayout::K_major, MemLayout::MN_major, B_ROW / 2, HEADDIM,
|
|
B_COL, /*leading_dim_a=*/0, /*leading_dim_b=*/0,
|
|
/*load_accum=*/true,
|
|
/*write_to_smem=*/true>(
|
|
smem_P_half1, smem_V, smem_O_half1 /*load accum*/, smem_O_half1,
|
|
tid_in_warpgroup, threads_per_warpgroup, warpgroups_per_cluster,
|
|
warpgroup_id_in_cluster);
|
|
}
|
|
}
|
|
|
|
threadblock_barrier(warpgroup_id_in_cluster, warps_per_warpgroup_per_core);
|
|
|
|
asm volatile("gemm_pv_finish_%=:" ::);
|
|
|
|
if constexpr (DEBUG) {
|
|
if (warpgroup_id == 0) {
|
|
// O after PV
|
|
if (tile_k == 0) {
|
|
thread_block_copy_tile<B_ROW, HEADDIM>(smem_O, gmem_tmp_d6, tid_in_warpgroup,
|
|
threads_per_warpgroup,
|
|
warpgroup_id_in_cluster);
|
|
} else if (tile_k == 1) {
|
|
thread_block_copy_tile<B_ROW, HEADDIM>(smem_O, gmem_tmp_d7, tid_in_warpgroup,
|
|
threads_per_warpgroup,
|
|
warpgroup_id_in_cluster);
|
|
}
|
|
|
|
threadblock_barrier(warpgroup_id_in_cluster,
|
|
warps_per_warpgroup_per_core);
|
|
}
|
|
}
|
|
#endif
|
|
}
|
|
|
|
asm volatile ("tile_loop_finish_%=:" :: );
|
|
|
|
// wait for warpgroup 1 to finish, which called the global barrier before
|
|
// entering the loop
|
|
if (warpgroup_id == 0) {
|
|
threadblock_barrier(global_barrier_id, warps_per_threadblock_per_core);
|
|
}
|
|
}
|
|
|
|
int main() {
|
|
kernel_arg_t *arg = (kernel_arg_t *)KERNEL_ARG_DEV_MEM_ADDR;
|
|
|
|
// FIXME:: use actuall seqlen/headdim
|
|
const uint32_t problem_size = (B_ROW * B_COL) / (ELEM_PER_THREAD);
|
|
const uint32_t hw_threads_per_cluster =
|
|
CORES_PER_CLUSTER * vx_num_threads() * vx_num_warps();
|
|
// prevent launching more threads than the necessary problem size
|
|
// TODO: this does not take into account multiple clusters
|
|
const uint32_t grid_size = (problem_size > hw_threads_per_cluster)
|
|
? hw_threads_per_cluster
|
|
: problem_size;
|
|
|
|
#ifdef RADIANCE
|
|
vx_spawn_tasks_cluster(grid_size, (vx_spawn_tasks_cb)kernel_body, arg);
|
|
#else
|
|
// NOTE: This kernel assumes contiguous thread scheduling for efficient shared
|
|
// memory allocation, and therefore does not work with original vx_spawn_tasks
|
|
vx_spawn_tasks_contiguous(grid_size, (vx_spawn_tasks_cb)kernel_body, arg);
|
|
#endif
|
|
return 0;
|
|
}
|