snapshot of https://github.com/ggml-org/whisper.cpp.git @ da54572229bcf64ba367d96c7ef15770376c4280 (2026-09-15)
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This commit is contained in:
upstream-mirror
2026-09-15 17:23:35 +05:00
commit 948ef47106
1955 changed files with 719115 additions and 0 deletions

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cmake_minimum_required(VERSION 3.22.2)
project(ggml-htp C CXX ASM)
include(${HEXAGON_SDK_ROOT}/build/cmake/hexagon_fun.cmake)
include_directories(
${HEXAGON_SDK_ROOT}/incs
${HEXAGON_SDK_ROOT}/incs/stddef
${CMAKE_CURRENT_SOURCE_DIR}/../../../include
${CMAKE_CURRENT_SOURCE_DIR}/../..
${CMAKE_CURRENT_SOURCE_DIR}/..
${CMAKE_CURRENT_SOURCE_DIR}
${CMAKE_CURRENT_BINARY_DIR})
set(HTP_LIB ggml-htp-${DSP_VERSION})
add_library(${HTP_LIB} SHARED
main.c
htp_iface_skel.c
work-queue.c
dma-queue.c
hmx-queue.c
htp-tensor.c
matmul-ops.c
flash-attn-ops.c
gated-delta-net-ops.c
binary-ops.c
unary-ops.c
sum-rows-ops.c
softmax-ops.c
act-ops.c
rope-ops.c
set-rows-ops.c
get-rows-ops.c
cpy-ops.c
repeat-ops.c
ssm-conv.c
cumsum-ops.c
fill-ops.c
concat-ops.c
diag-ops.c
solve-tri-ops.c
pad-ops.c
argsort-ops.c
im2col-ops.c
allreduce-ops.c
)
target_compile_definitions(${HTP_LIB} PRIVATE
$<IF:$<BOOL:${HEXAGON_HTP_DEBUG}>,HTP_DEBUG=1,NDEBUG=1>
$<IF:$<BOOL:${HEXAGON_HTP_DEBUG}>,FARF_HIGH=1,>)
build_idl(htp_iface.idl ${HTP_LIB})
set_target_properties(${HTP_LIB} PROPERTIES EXPORT_COMPILE_COMMANDS ON)
install(TARGETS ${HTP_LIB})

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#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <math.h>
#include <string.h>
#include "hex-dma.h"
#include "hvx-utils.h"
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "hex-common.h"
#include "htp-tensor.h"
#include "htp-vtcm.h"
#define htp_act_preamble \
const struct htp_tensor * src0 = actx->octx->src[0]; \
const struct htp_tensor * src1 = actx->octx->src[1]; \
const struct htp_tensor * dst = actx->octx->dst; \
\
const uint32_t ne00 = src0->ne[0]; \
const uint32_t ne01 = src0->ne[1]; \
const uint32_t ne02 = src0->ne[2]; \
const uint32_t ne03 = src0->ne[3]; \
\
const uint32_t nb00 = src0->nb[0]; \
const uint32_t nb01 = src0->nb[1]; \
const uint32_t nb02 = src0->nb[2]; \
const uint32_t nb03 = src0->nb[3]; \
\
const uint32_t ne10 = src1 ? src1->ne[0] : 0; \
const uint32_t ne11 = src1 ? src1->ne[1] : 0; \
const uint32_t ne12 = src1 ? src1->ne[2] : 0; \
const uint32_t ne13 = src1 ? src1->ne[3] : 0; \
\
const uint32_t nb10 = src1 ? src1->nb[0] : 0; \
const uint32_t nb11 = src1 ? src1->nb[1] : 0; \
const uint32_t nb12 = src1 ? src1->nb[2] : 0; \
const uint32_t nb13 = src1 ? src1->nb[3] : 0; \
\
const uint32_t ne0 = dst->ne[0]; \
const uint32_t ne1 = dst->ne[1]; \
const uint32_t ne2 = dst->ne[2]; \
const uint32_t ne3 = dst->ne[3]; \
\
const uint32_t nb0 = dst->nb[0]; \
const uint32_t nb1 = dst->nb[1]; \
const uint32_t nb2 = dst->nb[2]; \
const uint32_t nb3 = dst->nb[3];
struct htp_act_context {
struct htp_ops_context * octx;
// Precomputed values
const uint8_t * data_src0;
const uint8_t * data_src1;
uint8_t * data_dst;
size_t src0_row_size;
size_t src1_row_size;
size_t dst_row_size;
size_t src0_row_stride;
size_t src1_row_stride;
size_t src0_row_size_aligned;
size_t src1_row_size_aligned;
size_t dst_row_size_aligned;
size_t src0_spad_half_size;
size_t src1_spad_half_size;
size_t dst_spad_half_size;
uint32_t block;
uint32_t src0_nrows;
uint32_t src0_nrows_per_thread;
uint32_t row_start;
int nc;
uint8_t * vtcm_src0;
uint8_t * vtcm_src1;
uint8_t * vtcm_dst;
size_t vtcm_src0_size_per_thread;
size_t vtcm_src1_size_per_thread;
size_t vtcm_dst_size_per_thread;
};
struct htp_act_vtcm_layout {
size_t total_bytes;
size_t off_src0;
size_t off_src1;
size_t off_dst;
size_t src0_bytes_per_thread;
size_t src1_bytes_per_thread;
size_t dst_bytes_per_thread;
uint32_t vtcm_row_per_thread;
};
static inline void htp_act_vtcm_layout_build(struct htp_act_vtcm_layout * L,
size_t src0_row_size_aligned,
size_t src1_row_size_aligned,
size_t dst_row_size_aligned,
uint32_t n_threads,
size_t vtcm_size) {
const size_t spad_size_per_row = src0_row_size_aligned + src1_row_size_aligned + dst_row_size_aligned;
const uint32_t vtcm_row_per_thread = (uint32_t) (vtcm_size / (n_threads * spad_size_per_row));
L->vtcm_row_per_thread = vtcm_row_per_thread;
L->src0_bytes_per_thread = src0_row_size_aligned * vtcm_row_per_thread;
L->src1_bytes_per_thread = src1_row_size_aligned * vtcm_row_per_thread;
L->dst_bytes_per_thread = dst_row_size_aligned * vtcm_row_per_thread;
L->off_src0 = 0;
L->off_src1 = L->off_src0 + L->src0_bytes_per_thread * n_threads;
L->off_dst = L->off_src1 + L->src1_bytes_per_thread * n_threads;
L->total_bytes = L->off_dst + L->dst_bytes_per_thread * n_threads;
}
#define htp_glu_op_preamble \
const size_t src0_row_size_aligned = actx->src0_row_size_aligned; \
const size_t src1_row_size_aligned = actx->src1_row_size_aligned; \
const size_t dst_row_size_aligned = actx->dst_row_size_aligned; \
const int nc = actx->nc;
// swiglu(x) = x1 * sigmoid(x0)
static void swiglu_f32(const float * restrict src0,
const float * restrict src1,
float * restrict dst,
const uint32_t num_rows,
const struct htp_act_context * actx) {
htp_glu_op_preamble;
for (uint32_t ib = 0; ib < num_rows; ib++) {
const uint8_t * restrict src0_ptr = (const uint8_t *) src0 + (ib * src0_row_size_aligned);
const uint8_t * restrict src1_ptr = (const uint8_t *) src1 + (ib * src1_row_size_aligned);
uint8_t * restrict dst_ptr = (uint8_t *) dst + (ib * dst_row_size_aligned);
hvx_sigmoid_f32_aa(dst_ptr, src0_ptr, nc);
hvx_mul_mul_f32_aa(dst_ptr, src0_ptr, dst_ptr, src1_ptr, nc);
}
}
// out = x * sigmoid(alpha * x) * (clamp(y, -limit, limit) + 1.f)
static void swiglu_oai_f32(const float * restrict src0,
const float * restrict src1,
float * restrict dst,
const uint32_t num_rows,
const struct htp_act_context * actx) {
htp_glu_op_preamble;
const float alpha = ((const float *) (actx->octx->op_params))[2];
const float limit = ((const float *) (actx->octx->op_params))[3];
for (uint32_t ib = 0; ib < num_rows; ib++) {
const uint8_t * restrict src0_ptr = (const uint8_t *) src0 + (ib * src0_row_size_aligned);
const uint8_t * restrict src1_ptr = (const uint8_t *) src1 + (ib * src1_row_size_aligned);
uint8_t * restrict dst_ptr = (uint8_t *) dst + (ib * dst_row_size_aligned);
// x (src0_ptr) = std::min(src0_p[k], limit);
hvx_min_scalar_f32((uint8_t *) src0_ptr, src0_ptr, limit, nc);
// y1 (src1_ptr) = std::clamp(src1_p[k], -limit, limit);
hvx_clamp_scalar_f32((uint8_t *) src1_ptr, src1_ptr, -limit, limit, nc);
// y (src1_ptr) = y1 + 1.f
hvx_add_scalar_f32((uint8_t *) src1_ptr, src1_ptr, 1.0, nc);
// x1 (dst_ptr) = alpha * x
hvx_mul_scalar_f32(dst_ptr, src0_ptr, alpha, nc);
// x2 (dst_ptr) = sigmoid(x1) = 1/(1+exp(-x1))
hvx_sigmoid_f32_aa(dst_ptr, dst_ptr, nc);
// out = x * sigmoid(alpha * x) * (y + 1.f)
hvx_mul_mul_f32_aa(dst_ptr, src0_ptr, dst_ptr, src1_ptr, nc);
}
}
static void swiglu_clamp_f32(const float * restrict src0,
const float * restrict src1,
float * restrict dst,
const uint32_t num_rows,
const struct htp_act_context * actx) {
htp_glu_op_preamble;
const float limit = ((const float *) (actx->octx->op_params))[3];
for (uint32_t ib = 0; ib < num_rows; ib++) {
const uint8_t * restrict src0_ptr = (const uint8_t *) src0 + (ib * src0_row_size_aligned);
const uint8_t * restrict src1_ptr = (const uint8_t *) src1 + (ib * src1_row_size_aligned);
uint8_t * restrict dst_ptr = (uint8_t *) dst + (ib * dst_row_size_aligned);
hvx_min_scalar_f32((uint8_t *) src0_ptr, src0_ptr, limit, nc);
hvx_clamp_scalar_f32((uint8_t *) src1_ptr, src1_ptr, -limit, limit, nc);
hvx_sigmoid_f32_aa(dst_ptr, src0_ptr, nc);
hvx_mul_mul_f32_aa(dst_ptr, src0_ptr, dst_ptr, src1_ptr, nc);
}
}
static const float GELU_COEF_A = 0.044715f;
static const float SQRT_2_OVER_PI = 0.79788456080286535587989211986876f;
static inline HVX_Vector hvx_vec_fast_sigmoid_f32_2it(HVX_Vector v) {
v = Q6_Vqf32_vmpy_VsfVsf(v, Q6_V_vsplat_R(FAST_SIGMOID_LOG2F));
v = Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(v), Q6_V_vsplat_R(FAST_SIGMOID_C3));
HVX_Vector in_int = hvx_vec_truncate_f32(Q6_Vsf_equals_Vqf32(v));
HVX_Vector x = Q6_Vqf32_vsub_Vqf32Vsf(v, Q6_Vsf_equals_Vw(in_int));
HVX_Vector xx = Q6_Vqf32_vmpy_Vqf32Vqf32(x, x);
HVX_Vector v1 = Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(xx), Q6_V_vsplat_R(FAST_SIGMOID_C2));
v1 = Q6_Vqf32_vadd_Vqf32Vsf(v1, Q6_V_vsplat_R(FAST_SIGMOID_LOG2F));
HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(x), Q6_V_vsplat_R(FAST_SIGMOID_C1));
v2 = Q6_Vqf32_vmpy_Vqf32Vqf32(v2, xx);
v2 = Q6_Vqf32_vadd_Vqf32Vqf32(v2, x);
HVX_Vector v3 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vqf32(v2, v1));
v3 = Q6_Vw_vaslacc_VwVwR(v3, in_int, 24);
HVX_Vector v4 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vsub_Vqf32Vqf32(v2, v1));
HVX_Vector v5 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vsub_VsfVsf(v3, v4));
// Newton-Raphson with 2 iterations
HVX_Vector two_sf = hvx_vec_splat_f32(2.0f);
HVX_Vector i_sf = Q6_Vw_vsub_VwVw(Q6_V_vsplat_R(0x7EEEEBB3), v5);
HVX_Vector r_qf = Q6_Vqf32_vmpy_VsfVsf(
i_sf, Q6_Vsf_equals_Vqf32(Q6_Vqf32_vsub_VsfVsf(two_sf, Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(i_sf, v5)))));
r_qf = Q6_Vqf32_vmpy_Vqf32Vqf32(
r_qf, Q6_Vqf32_vsub_VsfVsf(two_sf, Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(r_qf), v5))));
HVX_Vector res = Q6_Vsf_equals_Vqf32(r_qf);
res = Q6_Vqf32_vmpy_VsfVsf(v3, res);
return Q6_Vsf_equals_Vqf32(res);
}
static inline HVX_Vector hvx_vec_fast_sigmoid_f32_guard_2it(HVX_Vector v,
HVX_Vector one,
HVX_Vector max_exp,
HVX_Vector min_exp) {
const HVX_VectorPred pred_max = Q6_Q_vcmp_gt_VsfVsf(max_exp, v);
const HVX_VectorPred pred_min = Q6_Q_vcmp_gt_VsfVsf(v, min_exp);
HVX_Vector out = hvx_vec_fast_sigmoid_f32_2it(v);
out = Q6_V_vmux_QVV(pred_max, out, one);
return Q6_V_vmux_QVV(pred_min, out, Q6_V_vzero());
}
static inline void hvx_geglu_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src0 % 128 == 0);
assert((unsigned long) src1 % 128 == 0);
HVX_Vector * restrict vdst = (HVX_Vector *) dst;
const HVX_Vector * restrict vsrc0 = (const HVX_Vector *) src0;
const HVX_Vector * restrict vsrc1 = (const HVX_Vector *) src1;
const uint32_t epv = 128 / sizeof(float);
const uint32_t nvec = n / epv;
const uint32_t nloe = n % epv;
const float GELU_COEF_A_TIMES_SQRT = GELU_COEF_A * SQRT_2_OVER_PI;
const HVX_Vector v_coef_a_times_sqrt = hvx_vec_splat_f32(GELU_COEF_A_TIMES_SQRT);
const HVX_Vector v_sqrt_2_pi = hvx_vec_splat_f32(SQRT_2_OVER_PI);
const HVX_Vector v_one = hvx_vec_splat_f32(1.0f);
const HVX_Vector v_max_exp = hvx_vec_splat_f32(87.0f);
const HVX_Vector v_min_exp = hvx_vec_splat_f32(-87.0f);
uint32_t i = 0;
_Pragma("unroll(4)")
for (; i < nvec; i++) {
HVX_Vector x = vsrc0[i];
HVX_Vector g = vsrc1[i];
HVX_Vector x2 = hvx_vec_mul_f32_f32(x, x);
HVX_Vector coef = hvx_vec_mul_f32_f32(x2, v_coef_a_times_sqrt);
coef = hvx_vec_add_f32_f32(coef, v_sqrt_2_pi);
HVX_Vector inner = hvx_vec_mul_f32_f32(x, coef);
// y2 = 2 * inner = inner + inner
HVX_Vector y2 = hvx_vec_add_f32_f32(inner, inner);
// Fast sigmoid approximation (2 iterations)
HVX_Vector sig2y = hvx_vec_fast_sigmoid_f32_guard_2it(y2, v_one, v_max_exp, v_min_exp);
HVX_Vector gelu_x = hvx_vec_mul_f32_f32(x, sig2y);
vdst[i] = hvx_vec_mul_f32_f32(gelu_x, g);
}
if (nloe) {
HVX_Vector x = vsrc0[i];
HVX_Vector g = vsrc1[i];
HVX_Vector x2 = hvx_vec_mul_f32_f32(x, x);
HVX_Vector coef = hvx_vec_mul_f32_f32(x2, v_coef_a_times_sqrt);
coef = hvx_vec_add_f32_f32(coef, v_sqrt_2_pi);
HVX_Vector inner = hvx_vec_mul_f32_f32(x, coef);
HVX_Vector y2 = hvx_vec_add_f32_f32(inner, inner);
HVX_Vector sig2y = hvx_vec_fast_sigmoid_f32_guard_2it(y2, v_one, v_max_exp, v_min_exp);
HVX_Vector gelu_x = hvx_vec_mul_f32_f32(x, sig2y);
HVX_Vector res = hvx_vec_mul_f32_f32(gelu_x, g);
hvx_vec_store_a((void *) &vdst[i], nloe * sizeof(float), res);
}
}
// geglu(x, g) = gelu(x) * g
static void geglu_f32(const float * restrict src0,
const float * restrict src1,
float * restrict dst,
const uint32_t num_rows,
const struct htp_act_context * actx) {
htp_glu_op_preamble;
for (uint32_t ib = 0; ib < num_rows; ib++) {
const uint8_t * restrict src0_ptr = (const uint8_t *) src0 + (ib * src0_row_size_aligned);
const uint8_t * restrict src1_ptr = (const uint8_t *) src1 + (ib * src1_row_size_aligned);
uint8_t * restrict dst_ptr = (uint8_t *) dst + (ib * dst_row_size_aligned);
hvx_geglu_f32_aa(dst_ptr, src0_ptr, src1_ptr, nc);
}
}
#define DEFINE_GLU_PER_THREAD(NAME, OP_STR, CORE_EXPR) \
static void glu_##NAME##_f32_per_thread(unsigned int nth, unsigned int ith, void * data) { \
struct htp_act_context * actx = (struct htp_act_context *) data; \
htp_act_preamble; \
\
struct htp_thread_trace * tr = actx->octx->ctx ? &actx->octx->ctx->trace[ith] : NULL; \
\
size_t src0_row_size = actx->src0_row_size; \
size_t src1_row_size = actx->src1_row_size; \
size_t dst_row_size = actx->dst_row_size; \
\
size_t src0_row_stride = actx->src0_row_stride; \
size_t src1_row_stride = actx->src1_row_stride; \
\
const uint32_t src0_nrows = actx->src0_nrows; \
const uint32_t src0_nrows_per_thread = actx->src0_nrows_per_thread; \
\
const uint32_t src0_start_row = actx->row_start + src0_nrows_per_thread * ith; \
const uint32_t src0_end_row = MIN(src0_start_row + src0_nrows_per_thread, actx->row_start + src0_nrows); \
\
/* no work for this thread */ \
if (src0_start_row >= src0_end_row) { \
return; \
} \
\
const uint8_t * restrict data_src0 = actx->data_src0; \
const uint8_t * restrict data_src1 = actx->data_src1; \
uint8_t * restrict data_dst = actx->data_dst; \
\
const size_t src0_row_size_aligned = actx->src0_row_size_aligned; \
const size_t src1_row_size_aligned = actx->src1_row_size_aligned; \
const size_t dst_row_size_aligned = actx->dst_row_size_aligned; \
\
uint8_t * restrict src0_spad_data = actx->vtcm_src0 + (ith * actx->vtcm_src0_size_per_thread); \
uint8_t * restrict src1_spad_data = actx->vtcm_src1 + (ith * actx->vtcm_src1_size_per_thread); \
uint8_t * restrict dst_spad_data = actx->vtcm_dst + (ith * actx->vtcm_dst_size_per_thread); \
\
size_t src0_spad_half_size = actx->src0_spad_half_size; \
size_t src1_spad_half_size = actx->src1_spad_half_size; \
size_t dst_spad_half_size = actx->dst_spad_half_size; \
\
const int BLOCK = actx->block; \
if (BLOCK == 0) { \
FARF(ERROR, \
OP_STR \
" : current VTCM reservation %zu is too small for even 1 row per thread, needed at least %zu\n", \
actx->vtcm_src0_size_per_thread, src0_row_size_aligned); \
return; \
} \
\
dma_queue * dma_queue = actx->octx->ctx->dma[ith]; \
\
/* See discussion: https://github.com/ggml-org/llama.cpp/pull/18151#issuecomment-3678235379 */ \
for (uint32_t ir = src0_start_row, spad_idx = 0; ir < src0_end_row && spad_idx < 2; ir += BLOCK, spad_idx++) { \
const uint32_t block_size = MIN(BLOCK, src0_end_row - ir); \
\
/* Dummy DMA transation for sequencing (interleaving dst,src,dst,...) */ \
dma_queue_push_vtcm_to_ddr(dma_queue, \
dma_make_ptr(data_dst, dst_spad_data + (spad_idx * dst_spad_half_size)), \
dst_row_size, dst_row_size_aligned, 0); \
\
dma_queue_push( \
dma_queue, \
dma_make_ptr(src0_spad_data + (spad_idx * src0_spad_half_size), data_src0 + (ir * src0_row_stride)), \
src0_row_size_aligned, src0_row_stride, src0_row_size, block_size); \
dma_queue_push( \
dma_queue, \
dma_make_ptr(src1_spad_data + (spad_idx * src1_spad_half_size), data_src1 + (ir * src1_row_stride)), \
src1_row_size_aligned, src1_row_stride, src1_row_size, block_size); \
} \
\
for (uint32_t ir = src0_start_row; ir < src0_end_row; ir += BLOCK) { \
const uint32_t block_size = MIN(BLOCK, src0_end_row - ir); \
\
float * dst_spad = (float *) dma_queue_pop(dma_queue).src; \
float * src0_spad = (float *) dma_queue_pop(dma_queue).dst; \
float * src1_spad = (float *) dma_queue_pop(dma_queue).dst; \
\
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, ir); \
CORE_EXPR; \
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, ir); \
\
dma_queue_push_vtcm_to_ddr(dma_queue, dma_make_ptr(data_dst + (ir * dst_row_size), dst_spad), \
dst_row_size, dst_row_size_aligned, block_size); \
\
/* prefetch N+2 loop iteration if any */ \
const uint32_t pref_block = (ir + BLOCK * 2); \
if (pref_block < src0_end_row) { \
const uint32_t pref_block_size = MIN(BLOCK, src0_end_row - pref_block); \
dma_queue_push(dma_queue, dma_make_ptr(src0_spad, data_src0 + (pref_block * src0_row_stride)), \
src0_row_size_aligned, src0_row_stride, src0_row_size, pref_block_size); \
dma_queue_push(dma_queue, dma_make_ptr(src1_spad, data_src1 + (pref_block * src1_row_stride)), \
src1_row_size_aligned, src1_row_stride, src1_row_size, pref_block_size); \
} \
} \
\
dma_queue_flush(dma_queue); \
\
}
DEFINE_GLU_PER_THREAD(swiglu, "swiglu-f32", swiglu_f32(src0_spad, src1_spad, dst_spad, block_size, actx))
DEFINE_GLU_PER_THREAD(swiglu_oai, "swiglu-oai-f32", swiglu_oai_f32(src0_spad, src1_spad, dst_spad, block_size, actx))
DEFINE_GLU_PER_THREAD(swiglu_clamp, "swiglu-clamp-f32", swiglu_clamp_f32(src0_spad, src1_spad, dst_spad, block_size, actx))
DEFINE_GLU_PER_THREAD(geglu, "geglu-f32", geglu_f32(src0_spad, src1_spad, dst_spad, block_size, actx))
static int execute_op_activations_f32(struct htp_ops_context * octx) {
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * src1 = octx->src[1];
const struct htp_tensor * dst = octx->dst;
if ((dst->ne[0] * SIZEOF_FP32) != dst->nb[1]) {
FARF(ERROR, "Non-contiguous dst is not supported at this time \n");
return HTP_STATUS_NO_SUPPORT;
}
worker_callback_t act_op_func;
const char * op_type = NULL;
switch (octx->op) {
case HTP_OP_GLU_SWIGLU:
act_op_func = (worker_callback_t)glu_swiglu_f32_per_thread;
op_type = "swiglu-f32";
break;
case HTP_OP_GLU_SWIGLU_OAI:
act_op_func = (worker_callback_t)glu_swiglu_oai_f32_per_thread;
op_type = "swiglu-oai-f32";
break;
case HTP_OP_GLU_SWIGLU_CLAMP:
act_op_func = (worker_callback_t) glu_swiglu_clamp_f32_per_thread;
op_type = "swiglu-clamp-f32";
break;
case HTP_OP_GLU_GEGLU:
act_op_func = (worker_callback_t)glu_geglu_f32_per_thread;
op_type = "geglu-f32";
break;
default:
FARF(ERROR, "Unsupported activations Op %u\n", octx->op);
return HTP_STATUS_NO_SUPPORT;
}
const uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3];
const size_t dst_row_size = dst->ne[0] * SIZEOF_FP32;
uint32_t row_start = 0;
uint32_t nrows = src0_nrows;
if (octx->ctx->mdev.count > 1) {
uint32_t rows_per_chunk = 0;
htp_tensor_mdev_rows_per_chunk(dst, sizeof(float), (uint32_t) dst_row_size, &rows_per_chunk);
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(src0_nrows, rows_per_chunk, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
row_start = range.start;
nrows = range.count;
}
if (nrows == 0) {
return HTP_STATUS_OK;
}
const uint32_t n_threads = octx->n_threads;
// row_size = bytes of useful data per row (what the kernel touches / what DMA copies).
// row_stride = bytes between successive rows in DDR (may exceed row_size for non-contig src).
const size_t nc_bytes = dst_row_size;
const size_t src0_row_size = nc_bytes;
const size_t src1_row_size = nc_bytes;
const size_t src0_row_stride = src0->nb[1];
const size_t src1_row_stride = src1 ? src1->nb[1] : src0->nb[1];
const size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN);
const size_t src1_row_size_aligned = hex_round_up(src1_row_size, VLEN);
const size_t dst_row_size_aligned = hex_round_up(dst_row_size, VLEN);
struct htp_act_vtcm_layout L;
htp_act_vtcm_layout_build(&L, src0_row_size_aligned, src1_row_size_aligned, dst_row_size_aligned, n_threads,
octx->ctx->vtcm_size);
// Make sure the reserved vtcm size is sufficient
if (L.vtcm_row_per_thread == 0) {
FARF(ERROR, "act-%s : current VTCM reservation %zu is too small for even 1 row per thread, needed at least %zu\n", op_type, octx->ctx->vtcm_size,
(src0_row_size_aligned + src1_row_size_aligned + dst_row_size_aligned) * n_threads);
return HTP_STATUS_VTCM_TOO_SMALL;
}
if (src1) {
FARF(HIGH, "%s: %ux%ux%ux%u x %ux%ux%ux%u -> %ux%ux%ux%u : src0-vtcm-size %zu src1-vtcm-size %zu dst-vtcm-size %zu\n",
op_type, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], src1->ne[0], src1->ne[1], src1->ne[2],
src1->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], L.src0_bytes_per_thread * n_threads,
L.src1_bytes_per_thread * n_threads, L.dst_bytes_per_thread * n_threads);
} else {
FARF(HIGH, "%s: %ux%ux%ux%u -> %ux%ux%ux%u : src0-vtcm-size %zu src1-vtcm-size %zu dst-vtcm-size %zu\n", op_type,
src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
L.src0_bytes_per_thread * n_threads, L.src1_bytes_per_thread * n_threads, L.dst_bytes_per_thread * n_threads);
}
if ((octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
return HTP_STATUS_OK;
}
// Prepare context
struct htp_act_context actx;
actx.octx = octx;
actx.src0_nrows_per_thread = fastdiv(nrows + n_threads - 1, &octx->n_threads_div);
actx.src0_row_size = src0_row_size;
actx.src1_row_size = src1_row_size;
actx.dst_row_size = dst_row_size;
actx.src0_row_size_aligned = src0_row_size_aligned;
actx.src1_row_size_aligned = src1_row_size_aligned;
actx.dst_row_size_aligned = dst_row_size_aligned;
actx.src0_row_stride = src0_row_stride;
actx.src1_row_stride = src1_row_stride;
uint8_t * const base = (uint8_t *) octx->ctx->vtcm_base;
actx.vtcm_src0 = VTCM_LAYOUT_PTR(uint8_t, base, L.off_src0);
actx.vtcm_src1 = VTCM_LAYOUT_PTR(uint8_t, base, L.off_src1);
actx.vtcm_dst = VTCM_LAYOUT_PTR(uint8_t, base, L.off_dst);
actx.vtcm_src0_size_per_thread = L.src0_bytes_per_thread;
actx.vtcm_src1_size_per_thread = L.src1_bytes_per_thread;
actx.vtcm_dst_size_per_thread = L.dst_bytes_per_thread;
actx.src0_spad_half_size = L.src0_bytes_per_thread / 2;
actx.src1_spad_half_size = L.src1_bytes_per_thread / 2;
actx.dst_spad_half_size = L.dst_bytes_per_thread / 2;
actx.block = actx.src0_spad_half_size / actx.src0_row_size_aligned;
actx.src0_nrows = nrows;
actx.row_start = row_start;
actx.nc = dst->ne[0];
// Pointers and GLU logic
const uint8_t * data_src0 = (const uint8_t *) src0->data;
const uint8_t * data_src1 = src1 ? (const uint8_t *) src1->data : NULL;
if (!src1 && (octx->op == HTP_OP_GLU_SWIGLU || octx->op == HTP_OP_GLU_SWIGLU_OAI || octx->op == HTP_OP_GLU_SWIGLU_CLAMP || octx->op == HTP_OP_GLU_GEGLU)) {
const int32_t swapped = octx->op_params[1];
data_src1 = data_src0;
actx.src1_row_size = actx.src0_row_size;
size_t nc_in_bytes = actx.nc * SIZEOF_FP32;
if (swapped) {
data_src0 += nc_in_bytes;
} else {
data_src1 += nc_in_bytes;
}
}
actx.data_src0 = data_src0;
actx.data_src1 = data_src1;
actx.data_dst = (uint8_t *) dst->data;
work_queue_run(octx->ctx->work_queue, act_op_func, &actx, n_threads);
return HTP_STATUS_OK;
}
int op_activations(struct htp_ops_context * octx) {
switch (octx->src[0]->type) {
case HTP_TYPE_F32:
return execute_op_activations_f32(octx);
default:
return HTP_STATUS_NO_SUPPORT;
}
}

View File

@@ -0,0 +1,457 @@
#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <HAP_perf.h>
#include <stdatomic.h>
#include <math.h>
#include <string.h>
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "hvx-utils.h"
#include "htp-tensor.h"
#include "hex-dma.h"
#include "hex-profile.h"
#include "allreduce-ops.h"
#include "htp-fence.h"
struct htp_allreduce_context {
struct htp_ops_context * octx;
uint32_t n_ranks;
uint32_t n_dsts;
uint32_t nelem;
uint32_t ne0;
uint32_t ne1;
uint32_t row_size_aligned;
uint32_t rank_elem_start;
uint32_t rank_nelem;
uint32_t elems_per_thread;
uint32_t block_elems;
uint32_t vtcm_size_per_thread;
bool is_row_bcast;
uint8_t * src_spad_base[HTP_ALLREDUCE_MAX_RANKS];
uint8_t * dst_spad_base;
uint8_t * res_spad_base;
};
#define DEFINE_ALLREDUCE_THREAD_DMA_1D(SUFFIX, TYPE, HVX_ADD_FN, HAS_ADD) \
static void allreduce_thread_dma_1d_##SUFFIX(unsigned int nth, unsigned int ith, void * data) { \
struct htp_allreduce_context * actx = (struct htp_allreduce_context *) data; \
struct htp_ops_context * octx = actx->octx; \
\
const uint32_t n_ranks = actx->n_ranks; \
const uint32_t n_dsts = actx->n_dsts; \
const uint32_t block_elems = actx->block_elems; \
\
const uint32_t dr = actx->elems_per_thread; \
const uint32_t ir0 = actx->rank_elem_start + dr * ith; \
const uint32_t ir1 = MIN(ir0 + dr, actx->rank_elem_start + actx->rank_nelem); \
if (ir0 >= ir1) return; \
\
struct htp_thread_trace * tr = &octx->ctx->trace[ith]; \
dma_queue * q = octx->ctx->dma[ith]; \
\
uint8_t * src_spad_base[HTP_ALLREDUCE_MAX_RANKS]; \
for (uint32_t s = 0; s < n_ranks; s++) { \
src_spad_base[s] = actx->src_spad_base[s] + (ith * actx->vtcm_size_per_thread); \
} \
uint8_t * dst_spad_base = actx->dst_spad_base + (ith * actx->vtcm_size_per_thread); \
uint8_t * res_spad_base = HAS_ADD ? (actx->res_spad_base + (ith * actx->vtcm_size_per_thread)) : NULL; \
\
const size_t spad_half = actx->vtcm_size_per_thread / 2; \
uint32_t ir_prefetch = ir0; \
int spad_idx = 0; \
\
for (int k = 0; k < 2 && ir_prefetch < ir1; k++) { \
uint32_t cur_elems = MIN(block_elems, ir1 - ir_prefetch); \
size_t cur_bytes = cur_elems * sizeof(TYPE); \
uint8_t * d_spad = dst_spad_base + spad_idx * spad_half; \
for (uint32_t d = 0; d < n_dsts; d++) { \
uint8_t * d_ddr = (uint8_t *) octx->dsts[d]->data + ir_prefetch * sizeof(TYPE); \
dma_queue_push(q, dma_make_ptr(d_ddr, d_spad), cur_bytes, cur_bytes, cur_bytes, 0); \
} \
for (uint32_t s = 0; s < n_ranks; s++) { \
uint8_t * s_spad = src_spad_base[s] + spad_idx * spad_half; \
const uint8_t * s_ddr = (const uint8_t *) octx->src[s]->data + ir_prefetch * sizeof(TYPE); \
dma_queue_push(q, dma_make_ptr(s_spad, s_ddr), cur_bytes, cur_bytes, cur_bytes, 1); \
} \
if (HAS_ADD) { \
uint8_t * r_spad = res_spad_base + spad_idx * spad_half; \
const uint8_t * r_ddr = (const uint8_t *) octx->src[2 * n_ranks]->data + ir_prefetch * sizeof(TYPE); \
dma_queue_push(q, dma_make_ptr(r_spad, r_ddr), cur_bytes, cur_bytes, cur_bytes, 1); \
} \
ir_prefetch += cur_elems; \
spad_idx ^= 1; \
} \
\
for (uint32_t ir = ir0; ir < ir1; ) { \
uint32_t cur_elems = MIN(block_elems, ir1 - ir); \
size_t cur_bytes = cur_elems * sizeof(TYPE); \
uint8_t * d_spad = NULL; \
for (uint32_t d = 0; d < n_dsts; d++) { \
d_spad = (uint8_t *) dma_queue_pop(q).src; \
} \
uint8_t * s_spad[HTP_ALLREDUCE_MAX_RANKS]; \
for (uint32_t s = 0; s < n_ranks; s++) { \
s_spad[s] = (uint8_t *) dma_queue_pop(q).dst; \
} \
uint8_t * r_spad = HAS_ADD ? (uint8_t *) dma_queue_pop(q).dst : NULL; \
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir); \
HVX_ADD_FN(d_spad, s_spad[0], s_spad[1], cur_elems); \
for (uint32_t s = 2; s < n_ranks; s++) { \
HVX_ADD_FN(d_spad, d_spad, s_spad[s], cur_elems); \
} \
if (HAS_ADD) { \
HVX_ADD_FN(d_spad, d_spad, r_spad, cur_elems); \
} \
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir); \
for (uint32_t d = 0; d < n_dsts; d++) { \
uint8_t * d_ddr = (uint8_t *) octx->dsts[d]->data + ir * sizeof(TYPE); \
dma_queue_push(q, dma_make_ptr(d_ddr, d_spad), cur_bytes, cur_bytes, cur_bytes, 1); \
} \
if (ir_prefetch < ir1) { \
uint32_t next_elems = MIN(block_elems, ir1 - ir_prefetch); \
size_t next_bytes = next_elems * sizeof(TYPE); \
for (uint32_t s = 0; s < n_ranks; s++) { \
const uint8_t * s_next = (const uint8_t *) octx->src[s]->data + ir_prefetch * sizeof(TYPE); \
dma_queue_push(q, dma_make_ptr(s_spad[s], s_next), next_bytes, next_bytes, next_bytes, 1); \
} \
if (HAS_ADD) { \
const uint8_t * r_next = (const uint8_t *) octx->src[2 * n_ranks]->data + ir_prefetch * sizeof(TYPE); \
dma_queue_push(q, dma_make_ptr(r_spad, r_next), next_bytes, next_bytes, next_bytes, 1); \
} \
ir_prefetch += next_elems; \
} \
ir += cur_elems; \
} \
dma_queue_flush(q); \
}
DEFINE_ALLREDUCE_THREAD_DMA_1D(f16, __fp16, hvx_add_f16_aaa, 0)
DEFINE_ALLREDUCE_THREAD_DMA_1D(f32, float, hvx_add_f32_aaa, 0)
DEFINE_ALLREDUCE_THREAD_DMA_1D(add_f16, __fp16, hvx_add_f16_aaa, 1)
DEFINE_ALLREDUCE_THREAD_DMA_1D(add_f32, float, hvx_add_f32_aaa, 1)
#define DEFINE_ALLREDUCE_THREAD_DMA_2D(SUFFIX, TYPE, HVX_ADD_FN, HAS_ADD, IS_ROW_BCAST) \
static void allreduce_thread_dma_2d_##SUFFIX(unsigned int nth, unsigned int ith, void * data) { \
struct htp_allreduce_context * actx = (struct htp_allreduce_context *) data; \
struct htp_ops_context * octx = actx->octx; \
\
const uint32_t n_ranks = actx->n_ranks; \
const uint32_t n_dsts = actx->n_dsts; \
const uint32_t ne0 = actx->ne0; \
const uint32_t block_rows = actx->block_elems; \
const uint32_t row_size_aligned = actx->row_size_aligned; \
const uint32_t row_bytes = ne0 * sizeof(TYPE); \
\
const uint32_t dr = actx->elems_per_thread; \
const uint32_t r0 = actx->rank_elem_start + dr * ith; \
const uint32_t r1 = MIN(r0 + dr, actx->rank_elem_start + actx->rank_nelem); \
if (r0 >= r1) return; \
\
struct htp_thread_trace * tr = &octx->ctx->trace[ith]; \
dma_queue * q = octx->ctx->dma[ith]; \
\
uint8_t * src_spad_base[HTP_ALLREDUCE_MAX_RANKS]; \
for (uint32_t s = 0; s < n_ranks; s++) { \
src_spad_base[s] = actx->src_spad_base[s] + (ith * actx->vtcm_size_per_thread); \
} \
uint8_t * dst_spad_base = actx->dst_spad_base + (ith * actx->vtcm_size_per_thread); \
uint8_t * res_spad_base = HAS_ADD ? (IS_ROW_BCAST ? actx->res_spad_base : (actx->res_spad_base + (ith * actx->vtcm_size_per_thread))) : NULL; \
\
const size_t spad_half = actx->vtcm_size_per_thread / 2; \
uint32_t r_prefetch = r0; \
int spad_idx = 0; \
\
for (int k = 0; k < 2 && r_prefetch < r1; k++) { \
uint32_t cur_rows = MIN(block_rows, r1 - r_prefetch); \
uint8_t * d_spad = dst_spad_base + spad_idx * spad_half; \
for (uint32_t d = 0; d < n_dsts; d++) { \
uint8_t * d_ddr = (uint8_t *) octx->dsts[d]->data + r_prefetch * octx->dsts[d]->nb[1]; \
dma_queue_push(q, dma_make_ptr(d_ddr, d_spad), octx->dsts[d]->nb[1], row_size_aligned, row_bytes, 0); \
} \
for (uint32_t s = 0; s < n_ranks; s++) { \
uint8_t * s_spad = src_spad_base[s] + spad_idx * spad_half; \
const uint8_t * s_ddr = (const uint8_t *) octx->src[s]->data + r_prefetch * octx->src[s]->nb[1]; \
dma_queue_push(q, dma_make_ptr(s_spad, s_ddr), row_size_aligned, octx->src[s]->nb[1], row_bytes, cur_rows); \
} \
if (HAS_ADD && !IS_ROW_BCAST) { \
uint8_t * r_spad = res_spad_base + spad_idx * spad_half; \
const uint8_t * r_ddr = (const uint8_t *) octx->src[2 * n_ranks]->data + r_prefetch * octx->src[2 * n_ranks]->nb[1]; \
dma_queue_push(q, dma_make_ptr(r_spad, r_ddr), row_size_aligned, octx->src[2 * n_ranks]->nb[1], row_bytes, cur_rows); \
} \
r_prefetch += cur_rows; \
spad_idx ^= 1; \
} \
\
for (uint32_t r = r0; r < r1; ) { \
uint32_t cur_rows = MIN(block_rows, r1 - r); \
uint8_t * d_spad = NULL; \
for (uint32_t d = 0; d < n_dsts; d++) { \
d_spad = (uint8_t *) dma_queue_pop(q).src; \
} \
uint8_t * s_spad[HTP_ALLREDUCE_MAX_RANKS]; \
for (uint32_t s = 0; s < n_ranks; s++) { \
s_spad[s] = (uint8_t *) dma_queue_pop(q).dst; \
} \
uint8_t * r_spad = (HAS_ADD && !IS_ROW_BCAST) ? (uint8_t *) dma_queue_pop(q).dst : NULL; \
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) r); \
for (uint32_t row = 0; row < cur_rows; row++) { \
uint8_t * d_row = d_spad + row * row_size_aligned; \
const uint8_t * s0_row = s_spad[0] + row * row_size_aligned; \
const uint8_t * s1_row = s_spad[1] + row * row_size_aligned; \
HVX_ADD_FN(d_row, s0_row, s1_row, ne0); \
for (uint32_t s = 2; s < n_ranks; s++) { \
const uint8_t * ss_row = s_spad[s] + row * row_size_aligned; \
HVX_ADD_FN(d_row, d_row, ss_row, ne0); \
} \
if (HAS_ADD) { \
const uint8_t * res_row = IS_ROW_BCAST ? res_spad_base : (r_spad + row * row_size_aligned); \
HVX_ADD_FN(d_row, d_row, res_row, ne0); \
} \
} \
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) r); \
for (uint32_t d = 0; d < n_dsts; d++) { \
uint8_t * d_ddr = (uint8_t *) octx->dsts[d]->data + r * octx->dsts[d]->nb[1]; \
dma_queue_push(q, dma_make_ptr(d_ddr, d_spad), octx->dsts[d]->nb[1], row_size_aligned, row_bytes, cur_rows); \
} \
if (r_prefetch < r1) { \
uint32_t next_rows = MIN(block_rows, r1 - r_prefetch); \
for (uint32_t s = 0; s < n_ranks; s++) { \
const uint8_t * s_next = (const uint8_t *) octx->src[s]->data + r_prefetch * octx->src[s]->nb[1]; \
dma_queue_push(q, dma_make_ptr(s_spad[s], s_next), row_size_aligned, octx->src[s]->nb[1], row_bytes, next_rows); \
} \
if (HAS_ADD && !IS_ROW_BCAST) { \
const uint8_t * r_next = (const uint8_t *) octx->src[2 * n_ranks]->data + r_prefetch * octx->src[2 * n_ranks]->nb[1]; \
dma_queue_push(q, dma_make_ptr(r_spad, r_next), row_size_aligned, octx->src[2 * n_ranks]->nb[1], row_bytes, next_rows); \
} \
r_prefetch += next_rows; \
} \
r += cur_rows; \
} \
dma_queue_flush(q); \
}
DEFINE_ALLREDUCE_THREAD_DMA_2D(f16, __fp16, hvx_add_f16_aaa, 0, 0)
DEFINE_ALLREDUCE_THREAD_DMA_2D(f32, float, hvx_add_f32_aaa, 0, 0)
DEFINE_ALLREDUCE_THREAD_DMA_2D(add_f16, __fp16, hvx_add_f16_aaa, 1, 0)
DEFINE_ALLREDUCE_THREAD_DMA_2D(add_f32, float, hvx_add_f32_aaa, 1, 0)
DEFINE_ALLREDUCE_THREAD_DMA_2D(add_bcast_f16, __fp16, hvx_add_f16_aaa, 1, 1)
DEFINE_ALLREDUCE_THREAD_DMA_2D(add_bcast_f32, float, hvx_add_f32_aaa, 1, 1)
static int validate_allreduce(
struct htp_ops_context * octx,
const struct htp_allreduce_kernel_params * kparams,
uint32_t n_ranks
) {
if (!htp_ops_context_set_n_threads(octx, (uint32_t) kparams->n_threads)) {
return HTP_STATUS_INVAL_PARAMS;
}
if (kparams->vtcm_size_per_thread <= 0 || kparams->vtcm_size <= 0) {
return HTP_STATUS_INVAL_PARAMS;
}
const bool has_add = (octx->op == HTP_OP_ALLREDUCE_ADD);
const size_t n_vtcm_buffers = htp_allreduce_vtcm_buffer_count(
n_ranks, octx->n_threads, has_add, kparams->is_row_bcast != 0);
const size_t vtcm_size = n_vtcm_buffers * (size_t) kparams->vtcm_size_per_thread;
if (vtcm_size != (size_t) kparams->vtcm_size) {
return HTP_STATUS_INVAL_PARAMS;
}
if (vtcm_size > octx->ctx->vtcm_size) {
return HTP_STATUS_VTCM_TOO_SMALL;
}
if (octx->dst->type != HTP_TYPE_F16 && octx->dst->type != HTP_TYPE_F32) {
return HTP_STATUS_NO_SUPPORT;
}
return HTP_STATUS_OK;
}
int op_allreduce(struct htp_ops_context * octx) {
if (octx->ctx->mdev.count > 1 && octx->ctx->mdev.idx > 0) {
return HTP_STATUS_OK;
}
const struct htp_allreduce_kernel_params * kparams = (const struct htp_allreduce_kernel_params *) octx->kernel_params;
const struct htp_tensor * dst = octx->dst;
const uint32_t rank = (uint32_t) kparams->rank;
const uint32_t n_ranks = (uint32_t) kparams->n_ranks;
if (n_ranks < 2 || n_ranks > HTP_ALLREDUCE_MAX_RANKS || rank >= n_ranks) {
return HTP_STATUS_INVAL_PARAMS;
}
const uint32_t fence_seq_entry = (uint32_t) octx->op_params[0];
const uint32_t fence_seq_exit = (uint32_t) octx->op_params[1];
const struct htp_tensor * my_sync = octx->src[n_ranks + rank];
atomic_uint * my_fence = (atomic_uint *) (uintptr_t) my_sync->data;
const int status = validate_allreduce(octx, kparams, n_ranks);
if (status != HTP_STATUS_OK) {
if (status == HTP_STATUS_NO_SUPPORT) {
FARF(ERROR, "ggml-hex: allreduce unsupported type %d : rank %u\n", dst->type, rank);
}
htp_fence_write(my_fence, fence_seq_exit, status);
return status;
}
const bool has_add = (octx->op == HTP_OP_ALLREDUCE_ADD);
const uint32_t nelem = dst->ne[0] * dst->ne[1] * dst->ne[2] * dst->ne[3];
// 1. Entry Barrier: Synchronize all ranks before reading
struct htp_thread_trace * tr0 = &octx->ctx->trace[0];
htp_trace_event_start(tr0, HTP_TRACE_EVT_FENCE, (uint16_t) fence_seq_entry);
htp_fence_write(my_fence, fence_seq_entry, octx->status);
for (uint32_t j = 0; j < n_ranks; j++) {
if (j == rank) continue;
const struct htp_tensor * peer_sync = octx->src[n_ranks + j];
atomic_uint * peer_fence = (atomic_uint *) (uintptr_t) peer_sync->data;
uint64_t spins = 0;
while (1) {
uint32_t peer_seq;
uint32_t peer_status;
htp_fence_read(peer_fence, &peer_seq, &peer_status);
if ((int32_t)(peer_seq - fence_seq_entry) >= 0) {
if (peer_status > HTP_STATUS_OK) {
FARF(ERROR, "ggml-hex: allreduce entry peer %u failed with status %u\n", j, peer_status);
htp_fence_write(my_fence, fence_seq_exit, peer_status);
htp_trace_event_stop(tr0, HTP_TRACE_EVT_FENCE, (uint16_t) fence_seq_entry);
return peer_status;
}
break;
}
if (++spins > HTP_FENCE_TIMEOUT) {
FARF(ERROR, "ggml-hex: allreduce entry fence-wait TIMEOUT : rank %u waiting on %u fence %p seq 0x%x peer-seq 0x%x\n",
rank, j, peer_fence, fence_seq_entry, peer_seq);
htp_fence_write(my_fence, fence_seq_exit, HTP_STATUS_INTERNAL_ERR);
htp_trace_event_stop(tr0, HTP_TRACE_EVT_FENCE, (uint16_t) fence_seq_entry);
return HTP_STATUS_INTERNAL_ERR;
}
hex_pause();
}
}
asm volatile ("syncht" : : : "memory");
htp_trace_event_stop(tr0, HTP_TRACE_EVT_FENCE, (uint16_t) fence_seq_entry);
// 2. Multi-threaded Reduction across assigned rank chunk
if (nelem > 0) {
const uint32_t n_threads = (uint32_t) kparams->n_threads;
const uint32_t block_elems = (uint32_t) kparams->block_elems;
const uint32_t elems_per_thread = (uint32_t) kparams->elems_per_thread;
const uint32_t vtcm_size_per_thread = (uint32_t) kparams->vtcm_size_per_thread;
struct htp_allreduce_context actx;
actx.octx = octx;
actx.n_ranks = n_ranks;
actx.n_dsts = (uint32_t) kparams->n_dsts ? (uint32_t) kparams->n_dsts : n_ranks;
actx.nelem = nelem;
actx.ne0 = (uint32_t) kparams->ne0;
actx.ne1 = (uint32_t) kparams->ne1;
actx.row_size_aligned = (uint32_t) kparams->row_size_aligned;
actx.rank_elem_start = (uint32_t) kparams->rank_elem_start;
actx.rank_nelem = (uint32_t) kparams->rank_nelem;
actx.elems_per_thread = elems_per_thread;
actx.block_elems = block_elems;
actx.vtcm_size_per_thread = vtcm_size_per_thread;
actx.is_row_bcast = (kparams->is_row_bcast != 0);
work_queue_func_t reduce_fun = NULL;
switch (kparams->kernel_type) {
case HTP_ALLREDUCE_KERNEL_DMA_1D:
if (has_add) {
reduce_fun = (dst->type == HTP_TYPE_F16) ? allreduce_thread_dma_1d_add_f16 : allreduce_thread_dma_1d_add_f32;
} else {
reduce_fun = (dst->type == HTP_TYPE_F16) ? allreduce_thread_dma_1d_f16 : allreduce_thread_dma_1d_f32;
}
break;
case HTP_ALLREDUCE_KERNEL_DMA_2D:
if (has_add) {
if (kparams->is_row_bcast) {
reduce_fun = (dst->type == HTP_TYPE_F16) ? allreduce_thread_dma_2d_add_bcast_f16 : allreduce_thread_dma_2d_add_bcast_f32;
} else {
reduce_fun = (dst->type == HTP_TYPE_F16) ? allreduce_thread_dma_2d_add_f16 : allreduce_thread_dma_2d_add_f32;
}
} else {
reduce_fun = (dst->type == HTP_TYPE_F16) ? allreduce_thread_dma_2d_f16 : allreduce_thread_dma_2d_f32;
}
break;
default:
FARF(ERROR, "ggml-hex: allreduce unsupported kernel %d : rank %u\n", kparams->kernel_type, rank);
htp_fence_write(my_fence, fence_seq_exit, HTP_STATUS_NO_SUPPORT);
return HTP_STATUS_NO_SUPPORT;
}
uint8_t * vtcm_ptr = (uint8_t *) octx->ctx->vtcm_base;
for (uint32_t s = 0; s < n_ranks; s++) {
actx.src_spad_base[s] = vtcm_ptr;
vtcm_ptr += n_threads * vtcm_size_per_thread;
}
actx.dst_spad_base = vtcm_ptr;
vtcm_ptr += n_threads * vtcm_size_per_thread;
if (has_add) {
actx.res_spad_base = vtcm_ptr;
vtcm_ptr += (actx.is_row_bcast ? 1 : n_threads) * vtcm_size_per_thread;
}
if (has_add && actx.is_row_bcast) {
const uint8_t * r_ddr = (const uint8_t *) octx->src[2 * n_ranks]->data;
const uint32_t row_bytes = actx.ne0 * (dst->type == HTP_TYPE_F16 ? sizeof(__fp16) : sizeof(float));
dma_queue * q = octx->ctx->dma[0];
dma_queue_push(q, dma_make_ptr(actx.res_spad_base, r_ddr), actx.row_size_aligned, 0, row_bytes, 1);
dma_queue_pop(q);
}
work_queue_run(octx->ctx->work_queue, reduce_fun, &actx, n_threads);
}
// 4. Exit Barrier: Synchronize all ranks after writing
htp_trace_event_start(tr0, HTP_TRACE_EVT_FENCE, (uint16_t) fence_seq_exit);
htp_fence_write(my_fence, fence_seq_exit, octx->status);
for (uint32_t j = 0; j < n_ranks; j++) {
if (j == rank) continue;
const struct htp_tensor * peer_sync = octx->src[n_ranks + j];
atomic_uint * peer_fence = (atomic_uint *) (uintptr_t) peer_sync->data;
uint64_t spins = 0;
while (1) {
uint32_t peer_seq;
uint32_t peer_status;
htp_fence_read(peer_fence, &peer_seq, &peer_status);
if ((int32_t)(peer_seq - fence_seq_exit) >= 0) {
if (peer_status > HTP_STATUS_OK) {
FARF(ERROR, "ggml-hex: allreduce exit peer %u failed with status %u\n", j, peer_status);
htp_fence_write(my_fence, fence_seq_exit, peer_status);
htp_trace_event_stop(tr0, HTP_TRACE_EVT_FENCE, (uint16_t) fence_seq_exit);
return peer_status;
}
break;
}
if (++spins > HTP_FENCE_TIMEOUT) {
FARF(ERROR, "ggml-hex: allreduce exit fence-wait TIMEOUT : rank %u waiting on %u fence %p seq 0x%x peer-seq 0x%x\n",
rank, j, peer_fence, fence_seq_exit, peer_seq);
htp_fence_write(my_fence, fence_seq_exit, HTP_STATUS_INTERNAL_ERR);
htp_trace_event_stop(tr0, HTP_TRACE_EVT_FENCE, (uint16_t) fence_seq_exit);
return HTP_STATUS_INTERNAL_ERR;
}
hex_pause();
}
}
asm volatile ("syncht" : : : "memory");
htp_trace_event_stop(tr0, HTP_TRACE_EVT_FENCE, (uint16_t) fence_seq_exit);
return octx->status;
}

View File

@@ -0,0 +1,51 @@
#ifndef ALLREDUCE_OPS_H
#define ALLREDUCE_OPS_H
#include <stdint.h>
#include <stddef.h>
#include <stdbool.h>
#define HTP_ALLREDUCE_MAX_RANKS 4
#ifdef __cplusplus
extern "C" {
#endif
enum htp_allreduce_kernel_type {
HTP_ALLREDUCE_KERNEL_UNSUPPORTED = 0,
HTP_ALLREDUCE_KERNEL_DMA_1D,
HTP_ALLREDUCE_KERNEL_DMA_2D,
};
static inline size_t htp_allreduce_vtcm_buffer_count(
uint32_t n_ranks,
uint32_t n_threads,
bool has_add,
bool is_row_bcast
) {
return (size_t) (n_ranks + 1) * n_threads + (has_add ? (is_row_bcast ? 1 : n_threads) : 0);
}
struct htp_allreduce_kernel_params {
int32_t rank;
int32_t n_ranks;
int32_t n_threads;
int32_t block_elems; // 1D: block_elems, 2D: block_rows
int32_t elems_per_thread; // 1D: nelem_per_thread, 2D: nrows_per_thread
int32_t vtcm_size_per_thread;
int32_t vtcm_size;
int32_t kernel_type;
int32_t ne0;
int32_t ne1;
int32_t row_size_aligned;
int32_t rank_elem_start;
int32_t rank_nelem;
int32_t n_dsts;
int32_t is_row_bcast;
};
#ifdef __cplusplus
}
#endif
#endif /* ALLREDUCE_OPS_H */

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@@ -0,0 +1,536 @@
#include <string.h>
#include <stdlib.h>
#include <math.h>
#include <HAP_farf.h>
#include <HAP_perf.h>
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "ggml.h"
#include "hvx-utils.h"
#include "hex-dma.h"
#include "hex-common.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "htp-tensor.h"
#ifndef MIN
#define MIN(a, b) ((a) < (b) ? (a) : (b))
#endif
struct htp_argsort_context {
struct htp_ops_context * octx;
uint32_t nrows_per_thread;
uint32_t total_rows;
uint32_t row_start;
uint32_t row_end;
uint8_t * vtcm_base;
size_t vtcm_per_thread;
};
static inline bool all_greater_f32(HVX_Vector x, HVX_Vector y)
{
const HVX_Vector one = Q6_V_vsplat_R(1);
const HVX_Vector zero = Q6_V_vzero();
HVX_VectorPred pred = Q6_Q_vcmp_gt_VsfVsf(x, y);
HVX_Vector matches = Q6_V_vmux_QVV(pred, one, zero);
HVX_Vector sum = hvx_vec_reduce_sum_i32(matches);
return hvx_vec_get_i32(sum) == 32;
}
// Sorts values and mirrors swaps to indices.
static void quicksort_values_indices_asc(float * values, int32_t * indices, int left, int right) {
if (left >= right) return;
int pivot_idx = (left + right) / 2;
float pivot = values[pivot_idx];
int i = left;
int j = right;
HVX_Vector pivot_vec = hvx_vec_splat_f32(pivot);
while (i <= j) {
// Vectorized scan for i
while (i <= j) {
// Check if we have at least one full vector
if (i + 32 <= j) {
HVX_Vector vals_vec = *(HVX_UVector *)(values + i);
if (all_greater_f32(pivot_vec, vals_vec)) {
// If all elements are < pivot, we can skip this whole block
i += 32;
continue;
}
}
// Scalar fallback / cleanup
if (values[i] < pivot) {
i++;
} else {
break;
}
}
// Vectorized scan for j
while (i <= j) {
if (j - 32 >= i) {
// Load 32 elements ending at j.
// Since we want `values[j] > pivot`, let's load from j-31 to j.
HVX_Vector vals_vec = *(HVX_UVector *)(values + j - 31);
if (all_greater_f32(vals_vec, pivot_vec)) {
j -= 32;
continue;
}
}
if (values[j] > pivot) {
j--;
} else {
break;
}
}
if (i <= j) {
float tmp_val = values[i];
values[i] = values[j];
values[j] = tmp_val;
int32_t tmp_idx = indices[i];
indices[i] = indices[j];
indices[j] = tmp_idx;
i++;
j--;
}
}
if (left < j) quicksort_values_indices_asc(values, indices, left, j);
if (i < right) quicksort_values_indices_asc(values, indices, i, right);
}
static void quicksort_values_indices_desc(float * values, int32_t * indices, int left, int right) {
if (left >= right) return;
int pivot_idx = (left + right) / 2;
float pivot = values[pivot_idx];
int i = left;
int j = right;
HVX_Vector pivot_vec = hvx_vec_splat_f32(pivot);
while (i <= j) {
// Vectorized scan for i (values[i] > pivot)
while (i <= j) {
if (i + 32 <= j) {
HVX_Vector vals_vec = *(HVX_UVector *)(values + i);
if (all_greater_f32(vals_vec, pivot_vec)) {
i += 32;
continue;
}
}
if (values[i] > pivot) {
i++;
} else {
break;
}
}
// Vectorized scan for j (values[j] < pivot)
while (i <= j) {
if (j - 32 >= i) {
HVX_Vector vals_vec = *(HVX_UVector *)(values + j - 31);
if (all_greater_f32(pivot_vec, vals_vec)) {
j -= 32;
continue;
}
}
if (values[j] < pivot) {
j--;
} else {
break;
}
}
if (i <= j) {
float tmp_val = values[i];
values[i] = values[j];
values[j] = tmp_val;
int32_t tmp_idx = indices[i];
indices[i] = indices[j];
indices[j] = tmp_idx;
i++;
j--;
}
}
if (left < j) quicksort_values_indices_desc(values, indices, left, j);
if (i < right) quicksort_values_indices_desc(values, indices, i, right);
}
// LUT for ramp initialization of argsort output (first 32 members)
int32_t argosrt_ramp_lut[32] __attribute__((aligned(VLEN))) = {
0, 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
};
__attribute__((always_inline))
static inline void vec_cas(HVX_Vector * X_val, HVX_Vector * X_idx, HVX_Vector * Y_val, HVX_Vector * Y_idx, bool asc) {
HVX_VectorPred pred = asc ? Q6_Q_vcmp_gt_VsfVsf(*X_val, *Y_val)
: Q6_Q_vcmp_gt_VsfVsf(*Y_val, *X_val);
HVX_Vector next_X_val = Q6_V_vmux_QVV(pred, *Y_val, *X_val);
HVX_Vector next_Y_val = Q6_V_vmux_QVV(pred, *X_val, *Y_val);
HVX_Vector next_X_idx = Q6_V_vmux_QVV(pred, *Y_idx, *X_idx);
HVX_Vector Y_tmp_idx = Q6_V_vmux_QVV(pred, *X_idx, *Y_idx);
*X_val = next_X_val;
*Y_val = next_Y_val;
*X_idx = next_X_idx;
*Y_idx = Y_tmp_idx;
}
__attribute__((always_inline))
static inline void bitonic_cas_32(HVX_Vector * V, HVX_Vector * I, int d, HVX_VectorPred dir_mask, HVX_Vector idx_vec, HVX_Vector zero_vec) {
HVX_VectorPred mask_left;
HVX_Vector V_rot_left, V_rot_right;
HVX_Vector I_rot_left, I_rot_right;
if (d == 1) {
mask_left = Q6_Q_vcmp_eq_VwVw(Q6_V_vand_VV(idx_vec, Q6_V_vsplat_R(1)), zero_vec);
V_rot_left = Q6_V_vror_VR(*V, 4);
V_rot_right = Q6_V_vror_VR(*V, 124);
I_rot_left = Q6_V_vror_VR(*I, 4);
I_rot_right = Q6_V_vror_VR(*I, 124);
} else if (d == 2) {
mask_left = Q6_Q_vcmp_eq_VwVw(Q6_V_vand_VV(idx_vec, Q6_V_vsplat_R(2)), zero_vec);
V_rot_left = Q6_V_vror_VR(*V, 8);
V_rot_right = Q6_V_vror_VR(*V, 120);
I_rot_left = Q6_V_vror_VR(*I, 8);
I_rot_right = Q6_V_vror_VR(*I, 120);
} else if (d == 4) {
mask_left = Q6_Q_vcmp_eq_VwVw(Q6_V_vand_VV(idx_vec, Q6_V_vsplat_R(4)), zero_vec);
V_rot_left = Q6_V_vror_VR(*V, 16);
V_rot_right = Q6_V_vror_VR(*V, 112);
I_rot_left = Q6_V_vror_VR(*I, 16);
I_rot_right = Q6_V_vror_VR(*I, 112);
} else if (d == 8) {
mask_left = Q6_Q_vcmp_eq_VwVw(Q6_V_vand_VV(idx_vec, Q6_V_vsplat_R(8)), zero_vec);
V_rot_left = Q6_V_vror_VR(*V, 32);
V_rot_right = Q6_V_vror_VR(*V, 96);
I_rot_left = Q6_V_vror_VR(*I, 32);
I_rot_right = Q6_V_vror_VR(*I, 96);
} else { // d == 16
mask_left = Q6_Q_vcmp_eq_VwVw(Q6_V_vand_VV(idx_vec, Q6_V_vsplat_R(16)), zero_vec);
V_rot_left = Q6_V_vror_VR(*V, 64);
V_rot_right = Q6_V_vror_VR(*V, 64);
I_rot_left = Q6_V_vror_VR(*I, 64);
I_rot_right = Q6_V_vror_VR(*I, 64);
}
HVX_Vector V_paired = Q6_V_vmux_QVV(mask_left, V_rot_left, V_rot_right);
HVX_Vector I_paired = Q6_V_vmux_QVV(mask_left, I_rot_left, I_rot_right);
HVX_VectorPred V_gt_Vpaired = Q6_Q_vcmp_gt_VsfVsf(*V, V_paired);
HVX_VectorPred Vpaired_gt_V = Q6_Q_vcmp_gt_VsfVsf(V_paired, *V);
HVX_VectorPred mask_right = Q6_Q_not_Q(mask_left);
HVX_VectorPred Q_asc = Q6_Q_or_QQ(
Q6_Q_and_QQ(mask_left, V_gt_Vpaired),
Q6_Q_and_QQ(Vpaired_gt_V, mask_right)
);
HVX_VectorPred Q_swap = Q6_Q_or_QQ(
Q6_Q_and_QQ(dir_mask, Q_asc),
Q6_Q_and_QQ(Q6_Q_not_Q(dir_mask), Q6_Q_not_Q(Q_asc))
);
*V = Q6_V_vmux_QVV(Q_swap, V_paired, *V);
*I = Q6_V_vmux_QVV(Q_swap, I_paired, *I);
}
__attribute__((always_inline))
static inline void bitonic_sort_generic_hvx(uint8_t * values, uint8_t * indices, int K, bool asc_order) {
HVX_Vector V[32];
HVX_Vector I[32];
HVX_Vector zero_vec = Q6_V_vzero();
HVX_Vector idx_vec = *(HVX_Vector *)argosrt_ramp_lut;
// Load values and initialize indices
for (int v = 0; v < K; v++) {
V[v] = *(HVX_Vector *)(values + v * 128);
I[v] = Q6_Vw_vadd_VwVw(idx_vec, Q6_V_vsplat_R(v * 32));
}
HVX_VectorPred pred_all_1s = Q6_Q_vcmp_eq_VwVw(zero_vec, zero_vec);
HVX_VectorPred pred_all_0s = Q6_Q_not_Q(pred_all_1s);
int M = 5;
while ((1 << (M - 5)) < K) M++;
for (int s = 1; s <= M; s++) {
for (int stage_d = s - 1; stage_d >= 0; stage_d--) {
int d = 1 << stage_d;
if (d >= 32) {
int v_dist = d / 32;
for (int v1 = 0; v1 < K; v1++) {
if ((v1 & v_dist) == 0) {
int v2 = v1 + v_dist;
bool asc = (s < M) ? ((((v1 * 32) >> s) % 2) == 0) : asc_order;
vec_cas(&V[v1], &I[v1], &V[v2], &I[v2], asc);
}
}
} else {
if (s < 5) {
HVX_VectorPred dir_mask = Q6_Q_vcmp_eq_VwVw(Q6_V_vand_VV(idx_vec, Q6_V_vsplat_R(1 << s)), zero_vec);
for (int v = 0; v < K; v++) {
bitonic_cas_32(&V[v], &I[v], d, dir_mask, idx_vec, zero_vec);
}
} else {
for (int v = 0; v < K; v++) {
bool asc = (s < M) ? ((((v * 32) >> s) % 2) == 0) : asc_order;
HVX_VectorPred dir_mask = asc ? pred_all_1s : pred_all_0s;
bitonic_cas_32(&V[v], &I[v], d, dir_mask, idx_vec, zero_vec);
}
}
}
}
}
// Write back sorted values and indices
for (int v = 0; v < K; v++) {
*(HVX_Vector *)(values + v * 128) = V[v];
*(HVX_Vector *)(indices + v * 128) = I[v];
}
}
__attribute__((always_inline))
static inline void sort32_f32_hvx(uint8_t * values, uint8_t * indices, enum ggml_sort_order order) {
bitonic_sort_generic_hvx(values, indices, 1, order == GGML_SORT_ORDER_ASC);
}
__attribute__((always_inline))
static inline void sort64_f32_hvx(uint8_t * values, uint8_t * indices, enum ggml_sort_order order) {
bitonic_sort_generic_hvx(values, indices, 2, order == GGML_SORT_ORDER_ASC);
}
__attribute__((always_inline))
static inline void sort128_f32_hvx(uint8_t * values, uint8_t * indices, enum ggml_sort_order order) {
bitonic_sort_generic_hvx(values, indices, 4, order == GGML_SORT_ORDER_ASC);
}
__attribute__((always_inline))
static inline void sort256_f32_hvx(uint8_t * values, uint8_t * indices, enum ggml_sort_order order) {
bitonic_sort_generic_hvx(values, indices, 8, order == GGML_SORT_ORDER_ASC);
}
__attribute__((always_inline))
static inline void sort512_f32_hvx(uint8_t * values, uint8_t * indices, enum ggml_sort_order order) {
bitonic_sort_generic_hvx(values, indices, 16, order == GGML_SORT_ORDER_ASC);
}
__attribute__((always_inline))
static inline void sort1024_f32_hvx(uint8_t * values, uint8_t * indices, enum ggml_sort_order order) {
bitonic_sort_generic_hvx(values, indices, 32, order == GGML_SORT_ORDER_ASC);
}
#define HTP_ARGSORT_FN(ne00, order_name, order_enum, sort_fn) \
static void htp_argsort_f32_##ne00##_##order_name(unsigned int n, unsigned int i, void * data) { \
struct htp_argsort_context * actx = (struct htp_argsort_context *)data; \
struct htp_ops_context * octx = actx->octx; \
const struct htp_tensor * src0 = octx->src[0]; \
const struct htp_tensor * dst = octx->dst; \
uint8_t * spad = actx->vtcm_base + actx->vtcm_per_thread * i; \
uint32_t rows_per_thread = actx->nrows_per_thread; \
uint32_t start_row = actx->row_start + rows_per_thread * i; \
uint32_t end_row = MIN(start_row + rows_per_thread, actx->row_end); \
size_t values_size = hex_round_up(ne00 * sizeof(float), 128); \
float * values_buf = (float *) spad; \
int32_t * indices_buf = (int32_t *) (spad + values_size); \
uint32_t nb01 = src0->nb[1]; \
uint32_t nb1 = dst->nb[1]; \
struct htp_thread_trace * tr = &octx->ctx->trace[i]; \
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, start_row); \
for (uint32_t r = start_row; r < end_row; r++) { \
uint32_t src_offset = r * nb01; \
uint32_t dst_offset = r * nb1; \
uint8_t * src_ptr = (uint8_t *) src0->data + src_offset; \
uint8_t * dst_ptr = (uint8_t *) dst->data + dst_offset; \
hex_l2fetch(src_ptr, ne00 * sizeof(float), ne00 * sizeof(float), 1); \
hvx_copy_f32_au((uint8_t*)values_buf, src_ptr, ne00); \
sort_fn((uint8_t*)values_buf, (uint8_t*)indices_buf, order_enum); \
hvx_copy_f32_ua(dst_ptr, (const uint8_t *) indices_buf, ne00); \
} \
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, start_row); \
}
HTP_ARGSORT_FN(32, asc, GGML_SORT_ORDER_ASC, sort32_f32_hvx)
HTP_ARGSORT_FN(32, dsc, GGML_SORT_ORDER_DESC, sort32_f32_hvx)
HTP_ARGSORT_FN(64, asc, GGML_SORT_ORDER_ASC, sort64_f32_hvx)
HTP_ARGSORT_FN(64, dsc, GGML_SORT_ORDER_DESC, sort64_f32_hvx)
HTP_ARGSORT_FN(128, asc, GGML_SORT_ORDER_ASC, sort128_f32_hvx)
HTP_ARGSORT_FN(128, dsc, GGML_SORT_ORDER_DESC, sort128_f32_hvx)
HTP_ARGSORT_FN(256, asc, GGML_SORT_ORDER_ASC, sort256_f32_hvx)
HTP_ARGSORT_FN(256, dsc, GGML_SORT_ORDER_DESC, sort256_f32_hvx)
HTP_ARGSORT_FN(512, asc, GGML_SORT_ORDER_ASC, sort512_f32_hvx)
HTP_ARGSORT_FN(512, dsc, GGML_SORT_ORDER_DESC, sort512_f32_hvx)
HTP_ARGSORT_FN(1024, asc, GGML_SORT_ORDER_ASC, sort1024_f32_hvx)
HTP_ARGSORT_FN(1024, dsc, GGML_SORT_ORDER_DESC, sort1024_f32_hvx)
static void htp_argsort_f32_fallback(unsigned int n, unsigned int i, void * data) {
struct htp_argsort_context * actx = (struct htp_argsort_context *)data;
struct htp_ops_context * octx = actx->octx;
// Unpack context
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * dst = octx->dst;
// Scratchpad memory
uint8_t * spad = actx->vtcm_base + actx->vtcm_per_thread * i;
// Dimensions
uint32_t ne00 = src0->ne[0];
uint32_t nb01 = src0->nb[1];
uint32_t nb1 = dst->nb[1];
// Sort order
enum ggml_sort_order order = (enum ggml_sort_order) octx->op_params[0];
// Rows to process
uint32_t rows_per_thread = actx->nrows_per_thread;
uint32_t start_row = actx->row_start + rows_per_thread * i;
uint32_t end_row = MIN(start_row + rows_per_thread, actx->row_end);
size_t values_size = hex_round_up(ne00 * sizeof(float), 128);
uint32_t num_vec_ind_values = hmx_ceil_div(ne00, VLEN/(sizeof(int32_t)));
float * values_buf = (float *) spad;
int32_t * indices_buf = (int32_t *) (spad + values_size);
HVX_Vector * indices_buf_vec = (HVX_Vector *) (spad + values_size);
const HVX_Vector ind_init_vec = *(HVX_Vector *)argosrt_ramp_lut;
const HVX_Vector ind_diff_vec = Q6_V_vsplat_R(32);
struct htp_thread_trace * tr = &octx->ctx->trace[i];
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, start_row);
for (uint32_t r = start_row; r < end_row; r++) {
uint32_t src_offset = r * nb01;
uint32_t dst_offset = r * nb1;
uint8_t * src_ptr = (uint8_t *) src0->data + src_offset;
uint8_t * dst_ptr = (uint8_t *) dst->data + dst_offset;
hex_l2fetch(src_ptr, ne00 * sizeof(float), ne00 * sizeof(float), 1);
hvx_copy_f32_au((uint8_t*)values_buf, src_ptr, ne00);
// Initialize indices - Start with values 0..31, add 32 for additional vec iterations
HVX_Vector curr_ind_vec = ind_init_vec;
for (uint32_t j_vec = 0; j_vec < num_vec_ind_values; j_vec++) {
indices_buf_vec[j_vec] = curr_ind_vec;
curr_ind_vec = Q6_Vw_vadd_VwVw(curr_ind_vec, ind_diff_vec);
}
// Sort values and mirror swaps to indices
if (order == GGML_SORT_ORDER_ASC) {
quicksort_values_indices_asc(values_buf, indices_buf, 0, ne00 - 1);
} else {
quicksort_values_indices_desc(values_buf, indices_buf, 0, ne00 - 1);
}
// Copy indices back to DDR
hvx_copy_f32_ua(dst_ptr, (const uint8_t *) indices_buf, ne00);
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, start_row);
}
int op_argsort(struct htp_ops_context * octx) {
// Check supported types
if (octx->src[0]->type != HTP_TYPE_F32) {
return HTP_STATUS_NO_SUPPORT;
}
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * dst = octx->dst;
const uint32_t total_rows = src0->ne[1] * src0->ne[2] * src0->ne[3];
const size_t dst_row_size = dst->ne[0] * sizeof(int32_t);
uint32_t row_start = 0;
uint32_t row_end = total_rows;
if (octx->ctx->mdev.count > 1) {
uint32_t rows_per_chunk = 0;
htp_tensor_mdev_rows_per_chunk(dst, sizeof(int32_t), (uint32_t) dst_row_size, &rows_per_chunk);
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(total_rows, rows_per_chunk, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
row_start = range.start;
row_end = range.start + range.count;
}
const uint32_t nrows = row_end - row_start;
if (nrows == 0) {
return HTP_STATUS_OK;
}
const uint32_t n_threads = octx->n_threads;
// Allocate scratchpad
// We need 1 row of float + 1 row of int32 per thread.
uint32_t ne00 = octx->src[0]->ne[0];
size_t values_size = hex_round_up(ne00 * sizeof(float), 128);
size_t indices_size = hex_round_up(ne00 * sizeof(int32_t), 128);
size_t spad_per_thread = values_size + indices_size;
// Make sure we round up to 256 for alignment requirements
spad_per_thread = hex_round_up(spad_per_thread, 256);
size_t total_spad_size = spad_per_thread * n_threads;
if (octx->ctx->vtcm_size < total_spad_size) {
FARF(ERROR, "argsort: VTCM size too small. Needed %zu, have %zu", total_spad_size, octx->ctx->vtcm_size);
return HTP_STATUS_VTCM_TOO_SMALL;
}
FARF(HIGH, "argsort: %ux%ux%ux%u -> %ux%ux%ux%u (0x%x, 0x%x)",
octx->src[0]->ne[0], octx->src[0]->ne[1], octx->src[0]->ne[2], octx->src[0]->ne[3],
octx->dst->ne[0], octx->dst->ne[1], octx->dst->ne[2], octx->dst->ne[3],
octx->src[0]->data, octx->dst->data);
struct htp_argsort_context actx;
actx.octx = octx;
actx.nrows_per_thread = fastdiv(nrows + n_threads - 1, &octx->n_threads_div);
actx.total_rows = nrows;
actx.row_start = row_start;
actx.row_end = row_end;
actx.vtcm_base = (uint8_t *) octx->ctx->vtcm_base;
actx.vtcm_per_thread = spad_per_thread;
enum ggml_sort_order order = (enum ggml_sort_order) octx->op_params[0];
worker_callback_t job_func = htp_argsort_f32_fallback;
if (order == GGML_SORT_ORDER_ASC) {
switch (ne00) {
case 1024: job_func = htp_argsort_f32_1024_asc; break;
case 512: job_func = htp_argsort_f32_512_asc; break;
case 256: job_func = htp_argsort_f32_256_asc; break;
case 128: job_func = htp_argsort_f32_128_asc; break;
case 64: job_func = htp_argsort_f32_64_asc; break;
case 32: job_func = htp_argsort_f32_32_asc; break;
default: job_func = htp_argsort_f32_fallback; break;
}
} else {
switch (ne00) {
case 1024: job_func = htp_argsort_f32_1024_dsc; break;
case 512: job_func = htp_argsort_f32_512_dsc; break;
case 256: job_func = htp_argsort_f32_256_dsc; break;
case 128: job_func = htp_argsort_f32_128_dsc; break;
case 64: job_func = htp_argsort_f32_64_dsc; break;
case 32: job_func = htp_argsort_f32_32_dsc; break;
default: job_func = htp_argsort_f32_fallback; break;
}
}
// Run jobs
work_queue_run(octx->ctx->work_queue, job_func, &actx, n_threads);
return HTP_STATUS_OK;
}

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@@ -0,0 +1,917 @@
#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <HAP_perf.h>
#include <math.h>
#include <string.h>
#include "hex-dma.h"
#include "hvx-utils.h"
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "hex-common.h"
#include "hex-profile.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "htp-tensor.h"
#ifndef MIN
#define MIN(a, b) ((a) < (b) ? (a) : (b))
#endif
// Context for binary operations
struct htp_binary_context {
struct htp_ops_context * octx;
struct fastdiv_values src0_dim1_div; // ne01
struct fastdiv_values src0_dim2_div; // ne02
struct fastdiv_values src0_dim12_div;// ne03
struct fastdiv_values src1_dim1_div; // ne11
struct fastdiv_values src1_dim2_div; // ne12
struct fastdiv_values src1_dim3_div; // ne13
uint32_t block_max;
uint32_t nrows_per_thread;
uint32_t total_rows;
uint32_t row_start;
size_t src0_row_size_aligned;
size_t src1_row_size_aligned;
size_t dst_row_size_aligned;
bool split_at_ne01;
bool split_at_ne02;
};
#define htp_binary_preamble \
const struct htp_tensor * src0 = octx->src[0]; \
const struct htp_tensor * src1 = octx->src[1]; \
const struct htp_tensor * dst = octx->dst; \
\
const uint32_t ne00 = src0->ne[0]; \
const uint32_t ne01 = src0->ne[1]; \
const uint32_t ne02 = src0->ne[2]; \
const uint32_t ne03 = src0->ne[3]; \
\
const uint32_t ne10 = src1->ne[0]; \
const uint32_t ne11 = src1->ne[1]; \
const uint32_t ne12 = src1->ne[2]; \
const uint32_t ne13 = src1->ne[3]; \
\
const uint32_t nb01 = src0->nb[1]; \
const uint32_t nb02 = src0->nb[2]; \
const uint32_t nb03 = src0->nb[3]; \
\
const uint32_t nb11 = src1->nb[1]; \
const uint32_t nb12 = src1->nb[2]; \
const uint32_t nb13 = src1->nb[3]; \
\
const uint32_t nb1 = dst->nb[1]; \
const uint32_t nb2 = dst->nb[2]; \
const uint32_t nb3 = dst->nb[3];
static inline uint32_t calc_block_size(struct htp_binary_context * bctx, uint32_t ir, uint32_t end_row, uint32_t ne01, uint32_t ne02) {
uint32_t i03, i02, i01, rem;
i03 = fastdiv(ir, &bctx->src0_dim12_div);
rem = ir - i03 * (ne02 * ne01);
i02 = fastdiv(rem, &bctx->src0_dim1_div);
i01 = rem - i02 * ne01;
uint32_t rows_left = end_row - ir;
uint32_t block_limit = rows_left;
if (bctx->split_at_ne01) {
block_limit = MIN(block_limit, ne01 - i01);
}
if (bctx->split_at_ne02) {
uint32_t rows_in_plane = (ne02 * ne01) - rem;
block_limit = MIN(block_limit, rows_in_plane);
}
return MIN(bctx->block_max, block_limit);
}
// Macro for scalar op switch
#define COMPUTE_SCALAR_OP(DST, SRC, VAL, TYPE, N) \
if(TYPE == HTP_TYPE_F32) { \
switch (octx->op) { \
case HTP_OP_ADD: hvx_add_scalar_f32_aa(DST, SRC, *(float *)VAL, N); break; \
case HTP_OP_SUB: hvx_sub_scalar_f32_aa(DST, SRC, *(float *)VAL, N); break; \
case HTP_OP_MUL: hvx_mul_scalar_f32_aa(DST, SRC, *(float *)VAL, N); break; \
case HTP_OP_DIV: hvx_mul_scalar_f32_aa(DST, SRC, 1.0f / (*(float *)VAL), N); break; \
default: break; \
} \
} \
else { \
switch (octx->op) { \
case HTP_OP_ADD: hvx_add_scalar_f16_aa(DST, SRC, *(_Float16 *)VAL, N); break; \
case HTP_OP_SUB: hvx_sub_scalar_f16_aa(DST, SRC, *(_Float16 *)VAL, N); break; \
case HTP_OP_MUL: hvx_mul_scalar_f16_aa(DST, SRC, *(_Float16 *)VAL, N); break; \
case HTP_OP_DIV: hvx_div_scalar_f16_aa(DST, SRC, *(_Float16 *)VAL, N); break; \
default: break; \
} \
}
// Macro for vector op switch (All Aligned)
#define COMPUTE_VECTOR_OP_AAA(DST, SRC0, SRC1, TYPE, N) \
if(TYPE == HTP_TYPE_F32) { \
switch (octx->op) { \
case HTP_OP_ADD: hvx_add_f32_aaa(DST, SRC0, SRC1, N); break; \
case HTP_OP_SUB: hvx_sub_f32_aaa(DST, SRC0, SRC1, N); break; \
case HTP_OP_MUL: hvx_mul_f32_aaa(DST, SRC0, SRC1, N); break; \
case HTP_OP_DIV: hvx_div_f32_aaa(DST, SRC0, SRC1, N); break; \
default: break; \
} \
} \
else { \
switch (octx->op) { \
case HTP_OP_ADD: hvx_add_f16_aaa(DST, SRC0, SRC1, N); break; \
case HTP_OP_SUB: hvx_sub_f16_aaa(DST, SRC0, SRC1, N); break; \
case HTP_OP_MUL: hvx_mul_f16_aaa(DST, SRC0, SRC1, N); break; \
case HTP_OP_DIV: hvx_div_f16_aaa(DST, SRC0, SRC1, N); break; \
default: break; \
} \
}
// Macro for vector op switch (Dst Aligned, Src0 Aligned, Src1 Unaligned)
#define COMPUTE_VECTOR_OP_AAU(DST, SRC0, SRC1, TYPE, N) \
if(TYPE == HTP_TYPE_F32) { \
switch (octx->op) { \
case HTP_OP_ADD: hvx_add_f32_aau(DST, SRC0, SRC1, N); break; \
case HTP_OP_SUB: hvx_sub_f32_aau(DST, SRC0, SRC1, N); break; \
case HTP_OP_MUL: hvx_mul_f32_aau(DST, SRC0, SRC1, N); break; \
case HTP_OP_DIV: hvx_div_f32_aau(DST, SRC0, SRC1, N); break; \
default: break; \
} \
} \
else { \
switch (octx->op) { \
case HTP_OP_ADD: hvx_add_f16_aau(DST, SRC0, SRC1, N); break; \
case HTP_OP_SUB: hvx_sub_f16_aau(DST, SRC0, SRC1, N); break; \
case HTP_OP_MUL: hvx_mul_f16_aau(DST, SRC0, SRC1, N); break; \
case HTP_OP_DIV: hvx_div_f16_aau(DST, SRC0, SRC1, N); break; \
default: break; \
} \
}
// Macro for vector op switch (All Unaligned - generic loop used in element repeat)
#define COMPUTE_VECTOR_OP_UUU(DST, SRC0, SRC1, TYPE, N) \
if(TYPE == HTP_TYPE_F32) { \
switch (octx->op) { \
case HTP_OP_ADD: hvx_add_f32_uuu(DST, SRC0, SRC1, N); break; \
case HTP_OP_SUB: hvx_sub_f32_uuu(DST, SRC0, SRC1, N); break; \
case HTP_OP_MUL: hvx_mul_f32_uuu(DST, SRC0, SRC1, N); break; \
case HTP_OP_DIV: hvx_div_f32_uuu(DST, SRC0, SRC1, N); break; \
default: break; \
} \
} \
else { \
switch (octx->op) { \
case HTP_OP_ADD: hvx_add_f16_uuu(DST, SRC0, SRC1, N); break; \
case HTP_OP_SUB: hvx_sub_f16_uuu(DST, SRC0, SRC1, N); break; \
case HTP_OP_MUL: hvx_mul_f16_uuu(DST, SRC0, SRC1, N); break; \
case HTP_OP_DIV: hvx_div_f16_uuu(DST, SRC0, SRC1, N); break; \
default: break; \
} \
}
// 1. Scalar src1 (ne10 == 1)
static void binary_job_scalar(unsigned int nth, unsigned int ith, void * data) {
struct htp_binary_context * bctx = (struct htp_binary_context *) data;
struct htp_ops_context * octx = bctx->octx;
htp_binary_preamble;
const uint32_t src0_type = octx->src[0]->type;
const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
const uint32_t start_row = bctx->row_start + bctx->nrows_per_thread * ith;
const uint32_t end_row = MIN(start_row + bctx->nrows_per_thread, bctx->row_start + bctx->total_rows);
if (start_row >= end_row) return;
FARF(HIGH, "binary-scalar: %d/%d (%u:%u) row-size %u (%u)", ith, nth, start_row, end_row, nb01, bctx->dst_row_size_aligned);
uint8_t * src0_spad_base = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
uint8_t * dst_spad_base = octx->dst_spad.data + (ith * octx->dst_spad.size_per_thread);
size_t src0_spad_half = octx->src0_spad.size_per_thread / 2;
size_t dst_spad_half = octx->dst_spad.size_per_thread / 2;
dma_queue * q = octx->ctx->dma[ith];
uint32_t ir_prefetch = start_row;
int spad_idx = 0;
// Preamble
for (int k = 0; k < 2 && ir_prefetch < end_row; k++) {
uint32_t current_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
uint32_t i03, i02, i01, rem;
i03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
rem = ir_prefetch - i03 * (ne02 * ne01);
i02 = fastdiv(rem, &bctx->src0_dim1_div);
i01 = rem - i02 * ne01;
uint8_t * src0_curr = (uint8_t *)src0->data + i03 * nb03 + i02 * nb02 + i01 * nb01;
uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
uint8_t * s0_spad = src0_spad_base + spad_idx * src0_spad_half;
uint8_t * d_spad = dst_spad_base + spad_idx * dst_spad_half;
dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, 0);
dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, row_size_bytes, current_block_size);
ir_prefetch += current_block_size;
spad_idx ^= 1;
}
// Main loop
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
for (uint32_t ir = start_row; ir < end_row; ) {
uint32_t current_block_size = calc_block_size(bctx, ir, end_row, ne01, ne02);
uint8_t * d_spad = (uint8_t *) dma_queue_pop(q).src;
uint8_t * s0_spad = (uint8_t *) dma_queue_pop(q).dst;
uint32_t i03, i02, i01, rem;
i03 = fastdiv(ir, &bctx->src0_dim12_div);
rem = ir - i03 * (ne02 * ne01);
i02 = fastdiv(rem, &bctx->src0_dim1_div);
i01 = rem - i02 * ne01;
// src1 indices (broadcast/repeat)
uint32_t i13 = fastmodulo(i03, ne13, &bctx->src1_dim3_div);
uint32_t i12 = fastmodulo(i02, ne12, &bctx->src1_dim2_div);
uint32_t i11 = fastmodulo(i01, ne11, &bctx->src1_dim1_div);
uint8_t * src1_ptr = (uint8_t *)src1->data + i13 * nb13 + i12 * nb12 + i11 * nb11;
uint32_t s1_stride = (ne11 == 1) ? 0 : nb11;
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
for (uint32_t r = 0; r < current_block_size; r++) {
uint8_t * r_src0 = s0_spad + r * bctx->src0_row_size_aligned;
uint8_t * r_dst = d_spad + r * bctx->dst_row_size_aligned;
COMPUTE_SCALAR_OP(r_dst, r_src0, src1_ptr, src0_type, ne00);
src1_ptr += s1_stride;
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, current_block_size);
if (ir_prefetch < end_row) {
uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
uint32_t p03, p02, p01, prem;
p03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
prem = ir_prefetch - p03 * (ne02 * ne01);
p02 = fastdiv(prem, &bctx->src0_dim1_div);
p01 = prem - p02 * ne01;
uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, row_size_bytes, next_block_size);
ir_prefetch += next_block_size;
}
ir += current_block_size;
}
dma_queue_flush(q);
}
// 2. Vector Same Shape (ne1x == ne0x) or Simple Broadcast
static void binary_job_vector_same_shape(unsigned int nth, unsigned int ith, void * data) {
struct htp_binary_context * bctx = (struct htp_binary_context *) data;
struct htp_ops_context * octx = bctx->octx;
htp_binary_preamble;
const uint32_t src0_type = octx->src[0]->type;
const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
const uint32_t start_row = bctx->row_start + bctx->nrows_per_thread * ith;
const uint32_t end_row = MIN(start_row + bctx->nrows_per_thread, bctx->row_start + bctx->total_rows);
if (start_row >= end_row) return;
FARF(HIGH, "binary-same-shape: %d/%d (%u:%u) row-size %u (%u)", ith, nth, start_row, end_row, nb01, bctx->dst_row_size_aligned);
uint8_t * src0_spad_base = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
uint8_t * src1_spad_base = octx->src1_spad.data + (ith * octx->src1_spad.size_per_thread);
uint8_t * dst_spad_base = octx->dst_spad.data + (ith * octx->dst_spad.size_per_thread);
size_t src0_spad_half = octx->src0_spad.size_per_thread / 2;
size_t src1_spad_half = octx->src1_spad.size_per_thread / 2;
size_t dst_spad_half = octx->dst_spad.size_per_thread / 2;
dma_queue * q = octx->ctx->dma[ith];
uint32_t ir_prefetch = start_row;
int spad_idx = 0;
for (int k = 0; k < 2 && ir_prefetch < end_row; k++) {
uint32_t current_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
uint32_t i03, i02, i01, rem;
i03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
rem = ir_prefetch - i03 * (ne02 * ne01);
i02 = fastdiv(rem, &bctx->src0_dim1_div);
i01 = rem - i02 * ne01;
uint32_t i13 = (ne13 == 1) ? 0 : i03;
uint32_t i12 = (ne12 == 1) ? 0 : i02;
uint32_t i11 = (ne11 == 1) ? 0 : i01;
uint8_t * src0_curr = (uint8_t *)src0->data + i03 * nb03 + i02 * nb02 + i01 * nb01;
uint8_t * src1_curr = (uint8_t *)src1->data + i13 * nb13 + i12 * nb12 + i11 * nb11;
uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
uint8_t * s0_spad = src0_spad_base + spad_idx * src0_spad_half;
uint8_t * s1_spad = src1_spad_base + spad_idx * src1_spad_half;
uint8_t * d_spad = dst_spad_base + spad_idx * dst_spad_half;
dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, 0);
dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, row_size_bytes, current_block_size);
dma_queue_push(q, dma_make_ptr(s1_spad, src1_curr), bctx->src1_row_size_aligned, nb11, row_size_bytes, current_block_size);
ir_prefetch += current_block_size;
spad_idx ^= 1;
}
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
for (uint32_t ir = start_row; ir < end_row; ) {
uint32_t current_block_size = calc_block_size(bctx, ir, end_row, ne01, ne02);
uint8_t * d_spad = (uint8_t *) dma_queue_pop(q).src;
uint8_t * s0_spad = (uint8_t *) dma_queue_pop(q).dst;
uint8_t * s1_spad = (uint8_t *) dma_queue_pop(q).dst;
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
for (uint32_t r = 0; r < current_block_size; r++) {
uint8_t * r_src0 = s0_spad + r * bctx->src0_row_size_aligned;
uint8_t * r_src1 = s1_spad + r * bctx->src1_row_size_aligned;
uint8_t * r_dst = d_spad + r * bctx->dst_row_size_aligned;
COMPUTE_VECTOR_OP_AAA(r_dst, r_src0, r_src1, src0_type, ne00);
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
uint32_t i03, i02, i01, rem;
i03 = fastdiv(ir, &bctx->src0_dim12_div);
rem = ir - i03 * (ne02 * ne01);
i02 = fastdiv(rem, &bctx->src0_dim1_div);
i01 = rem - i02 * ne01;
uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, current_block_size);
if (ir_prefetch < end_row) {
uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
uint32_t p03, p02, p01, prem;
p03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
prem = ir_prefetch - p03 * (ne02 * ne01);
p02 = fastdiv(prem, &bctx->src0_dim1_div);
p01 = prem - p02 * ne01;
uint32_t p13 = (ne13 == 1) ? 0 : p03;
uint32_t p12 = (ne12 == 1) ? 0 : p02;
uint32_t p11 = (ne11 == 1) ? 0 : p01;
uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
uint8_t * s1_next = (uint8_t *)src1->data + p13 * nb13 + p12 * nb12 + p11 * nb11;
dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, row_size_bytes, next_block_size);
dma_queue_push(q, dma_make_ptr(s1_spad, s1_next), bctx->src1_row_size_aligned, nb11, row_size_bytes, next_block_size);
ir_prefetch += next_block_size;
}
ir += current_block_size;
}
dma_queue_flush(q);
}
// 3. Row Broadcast (ne11 == 1, ne12 == 1, single row src1)
static void binary_job_vector_row_broadcast(unsigned int nth, unsigned int ith, void * data) {
struct htp_binary_context * bctx = (struct htp_binary_context *) data;
struct htp_ops_context * octx = bctx->octx;
htp_binary_preamble;
const uint32_t src0_type = octx->src[0]->type;
const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
const uint32_t start_row = bctx->row_start + bctx->nrows_per_thread * ith;
const uint32_t end_row = MIN(start_row + bctx->nrows_per_thread, bctx->row_start + bctx->total_rows);
if (start_row >= end_row) return;
FARF(HIGH, "binary-row-bcast: %d/%d (%u:%u) row-size %u (%u)", ith, nth, start_row, end_row, nb01, bctx->dst_row_size_aligned);
uint8_t * src0_spad_base = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
uint8_t * src1_spad_base = octx->src1_spad.data + (ith * octx->src1_spad.size_per_thread);
uint8_t * dst_spad_base = octx->dst_spad.data + (ith * octx->dst_spad.size_per_thread);
size_t src0_spad_half = octx->src0_spad.size_per_thread / 2;
size_t dst_spad_half = octx->dst_spad.size_per_thread / 2;
dma_queue * q = octx->ctx->dma[ith];
uint32_t ir_prefetch = start_row;
int spad_idx = 0;
void * s1_ptr = (void *) src1_spad_base;
for (int k = 0; k < 2 && ir_prefetch < end_row; k++) {
uint32_t current_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
uint32_t i03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
uint32_t rem = ir_prefetch - i03 * (ne02 * ne01);
uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
uint32_t i01 = rem - i02 * ne01;
uint8_t * src0_curr = (uint8_t *)src0->data + i03 * nb03 + i02 * nb02 + i01 * nb01;
uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
uint8_t * s0_spad = src0_spad_base + spad_idx * src0_spad_half;
uint8_t * d_spad = dst_spad_base + spad_idx * dst_spad_half;
dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, 0);
dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, row_size_bytes, current_block_size);
ir_prefetch += current_block_size;
spad_idx ^= 1;
}
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
for (uint32_t ir = start_row; ir < end_row; ) {
uint32_t current_block_size = calc_block_size(bctx, ir, end_row, ne01, ne02);
uint8_t * d_spad = (uint8_t *) dma_queue_pop(q).src;
uint8_t * s0_spad = (uint8_t *) dma_queue_pop(q).dst;
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
for (uint32_t r = 0; r < current_block_size; r++) {
uint8_t * r_src0 = s0_spad + r * bctx->src0_row_size_aligned;
uint8_t * r_src1 = (uint8_t *)s1_ptr; // Constant
uint8_t * r_dst = d_spad + r * bctx->dst_row_size_aligned;
COMPUTE_VECTOR_OP_AAA(r_dst, r_src0, r_src1, src0_type, ne00);
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
uint32_t i03 = fastdiv(ir, &bctx->src0_dim12_div);
uint32_t rem = ir - i03 * (ne02 * ne01);
uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
uint32_t i01 = rem - i02 * ne01;
uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, current_block_size);
if (ir_prefetch < end_row) {
uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
uint32_t p03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
uint32_t prem = ir_prefetch - p03 * (ne02 * ne01);
uint32_t p02 = fastdiv(prem, &bctx->src0_dim1_div);
uint32_t p01 = prem - p02 * ne01;
uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, row_size_bytes, next_block_size);
ir_prefetch += next_block_size;
}
ir += current_block_size;
}
dma_queue_flush(q);
}
// 4. Vector Complex (ne10 == ne00, complex broadcast)
static void binary_job_vector_complex(unsigned int nth, unsigned int ith, void * data) {
struct htp_binary_context * bctx = (struct htp_binary_context *) data;
struct htp_ops_context * octx = bctx->octx;
htp_binary_preamble;
const uint32_t src0_type = octx->src[0]->type;
const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
const uint32_t start_row = bctx->row_start + bctx->nrows_per_thread * ith;
const uint32_t end_row = MIN(start_row + bctx->nrows_per_thread, bctx->row_start + bctx->total_rows);
if (start_row >= end_row) return;
FARF(HIGH, "binary-complex: %d/%d (%u:%u) row-size %u (%u)", ith, nth, start_row, end_row, nb01, bctx->dst_row_size_aligned);
uint8_t * src0_spad_base = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
uint8_t * dst_spad_base = octx->dst_spad.data + (ith * octx->dst_spad.size_per_thread);
size_t src0_spad_half = octx->src0_spad.size_per_thread / 2;
size_t dst_spad_half = octx->dst_spad.size_per_thread / 2;
dma_queue * q = octx->ctx->dma[ith];
uint32_t ir_prefetch = start_row;
int spad_idx = 0;
for (int k = 0; k < 2 && ir_prefetch < end_row; k++) {
uint32_t current_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
uint32_t i03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
uint32_t rem = ir_prefetch - i03 * (ne02 * ne01);
uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
uint32_t i01 = rem - i02 * ne01;
uint8_t * src0_curr = (uint8_t *)src0->data + i03 * nb03 + i02 * nb02 + i01 * nb01;
uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
uint8_t * s0_spad = src0_spad_base + spad_idx * src0_spad_half;
uint8_t * d_spad = dst_spad_base + spad_idx * dst_spad_half;
dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, 0);
dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, row_size_bytes, current_block_size);
ir_prefetch += current_block_size;
spad_idx ^= 1;
}
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
for (uint32_t ir = start_row; ir < end_row; ) {
uint32_t current_block_size = calc_block_size(bctx, ir, end_row, ne01, ne02);
uint8_t * d_spad = (uint8_t *) dma_queue_pop(q).src;
uint8_t * s0_spad = (uint8_t *) dma_queue_pop(q).dst;
uint32_t i03 = fastdiv(ir, &bctx->src0_dim12_div);
uint32_t rem = ir - i03 * (ne02 * ne01);
uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
uint32_t i01 = rem - i02 * ne01;
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
for (uint32_t r = 0; r < current_block_size; r++) {
uint32_t r_i01 = i01 + r;
uint32_t i13 = fastmodulo(i03, ne13, &bctx->src1_dim3_div);
uint32_t i12 = fastmodulo(i02, ne12, &bctx->src1_dim2_div);
uint32_t i11 = fastmodulo(r_i01, ne11, &bctx->src1_dim1_div);
uint8_t * r_src0 = s0_spad + r * bctx->src0_row_size_aligned;
uint8_t * r_src1 = (uint8_t *)src1->data + i13 * nb13 + i12 * nb12 + i11 * nb11;
uint8_t * r_dst = d_spad + r * bctx->dst_row_size_aligned;
// Read src1 from DDR (unaligned)
COMPUTE_VECTOR_OP_AAU(r_dst, r_src0, r_src1, src0_type, ne00);
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, current_block_size);
if (ir_prefetch < end_row) {
uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
uint32_t p03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
uint32_t prem = ir_prefetch - p03 * (ne02 * ne01);
uint32_t p02 = fastdiv(prem, &bctx->src0_dim1_div);
uint32_t p01 = prem - p02 * ne01;
uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, row_size_bytes, next_block_size);
ir_prefetch += next_block_size;
}
ir += current_block_size;
}
dma_queue_flush(q);
}
// 5. Element Repeat (ne10 != ne00)
static void binary_job_element_repeat(unsigned int nth, unsigned int ith, void * data) {
struct htp_binary_context * bctx = (struct htp_binary_context *) data;
struct htp_ops_context * octx = bctx->octx;
htp_binary_preamble;
const uint32_t src0_type = octx->src[0]->type;
const uint32_t elem_size_bytes = (src0_type == HTP_TYPE_F32) ? sizeof(float) : sizeof(_Float16);
const uint32_t row_size_bytes = ne00 * elem_size_bytes;;
const uint32_t start_row = bctx->row_start + bctx->nrows_per_thread * ith;
const uint32_t end_row = MIN(start_row + bctx->nrows_per_thread, bctx->row_start + bctx->total_rows);
if (start_row >= end_row) return;
uint8_t * src0_spad_base = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
uint8_t * dst_spad_base = octx->dst_spad.data + (ith * octx->dst_spad.size_per_thread);
size_t src0_spad_half = octx->src0_spad.size_per_thread / 2;
size_t dst_spad_half = octx->dst_spad.size_per_thread / 2;
FARF(HIGH, "binary-repeat: %d/%d (%u:%u) row-size %u (%u)", ith, nth, start_row, end_row, nb01, bctx->dst_row_size_aligned);
dma_queue * q = octx->ctx->dma[ith];
uint32_t ir_prefetch = start_row;
int spad_idx = 0;
for (int k = 0; k < 2 && ir_prefetch < end_row; k++) {
uint32_t current_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
uint32_t i03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
uint32_t rem = ir_prefetch - i03 * (ne02 * ne01);
uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
uint32_t i01 = rem - i02 * ne01;
uint8_t * src0_curr = (uint8_t *)src0->data + i03 * nb03 + i02 * nb02 + i01 * nb01;
uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
uint8_t * s0_spad = src0_spad_base + spad_idx * src0_spad_half;
uint8_t * d_spad = dst_spad_base + spad_idx * dst_spad_half;
dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, 0);
dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, row_size_bytes, current_block_size);
ir_prefetch += current_block_size;
spad_idx ^= 1;
}
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
for (uint32_t ir = start_row; ir < end_row; ) {
uint32_t current_block_size = calc_block_size(bctx, ir, end_row, ne01, ne02);
uint8_t * d_spad = (uint8_t *) dma_queue_pop(q).src;
uint8_t * s0_spad = (uint8_t *) dma_queue_pop(q).dst;
uint32_t i03 = fastdiv(ir, &bctx->src0_dim12_div);
uint32_t rem = ir - i03 * (ne02 * ne01);
uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
uint32_t i01 = rem - i02 * ne01;
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
for (uint32_t r = 0; r < current_block_size; r++) {
uint32_t r_i01 = i01 + r;
uint32_t i13 = fastmodulo(i03, ne13, &bctx->src1_dim3_div);
uint32_t i12 = fastmodulo(i02, ne12, &bctx->src1_dim2_div);
uint32_t i11 = fastmodulo(r_i01, ne11, &bctx->src1_dim1_div);
uint8_t * r_src0 = s0_spad + r * bctx->src0_row_size_aligned;
uint8_t * r_src1_row = (uint8_t *)src1->data + i13 * nb13 + i12 * nb12 + i11 * nb11;
uint8_t * r_dst = d_spad + r * bctx->dst_row_size_aligned;
// Repeat src1 row
for (uint32_t c = 0; c < ne00; c += ne10) {
uint32_t len = MIN(ne10, ne00 - c);
// Use UUU for speed and simplicity
COMPUTE_VECTOR_OP_UUU(r_dst + c * elem_size_bytes, r_src0 + c * elem_size_bytes, r_src1_row, src0_type, len);
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, current_block_size);
if (ir_prefetch < end_row) {
uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
uint32_t p03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
uint32_t prem = ir_prefetch - p03 * (ne02 * ne01);
uint32_t p02 = fastdiv(prem, &bctx->src0_dim1_div);
uint32_t p01 = prem - p02 * ne01;
uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, row_size_bytes, next_block_size);
ir_prefetch += next_block_size;
}
ir += current_block_size;
}
dma_queue_flush(q);
}
// 6. ADD_ID (src1 gathered via src2 indices)
static void binary_job_add_id(unsigned int nth, unsigned int ith, void * data) {
struct htp_binary_context * bctx = (struct htp_binary_context *) data;
struct htp_ops_context * octx = bctx->octx;
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * src1 = octx->src[1];
const struct htp_tensor * src2 = octx->src[2];
const struct htp_tensor * dst = octx->dst;
const uint32_t ne00 = src0->ne[0];
const uint32_t ne01 = src0->ne[1];
const uint32_t ne02 = src0->ne[2];
const uint32_t ne03 = src0->ne[3];
const uint32_t ne11 = src1->ne[1]; // for bounds check
const uint32_t nb01 = src0->nb[1];
const uint32_t nb02 = src0->nb[2];
const uint32_t nb03 = src0->nb[3];
const uint32_t nb11 = src1->nb[1]; // src1 row stride
const uint32_t nb1 = dst->nb[1];
const uint32_t nb2 = dst->nb[2];
const uint32_t nb3 = dst->nb[3];
const uint32_t start_row = bctx->row_start + bctx->nrows_per_thread * ith;
const uint32_t end_row = MIN(start_row + bctx->nrows_per_thread, bctx->row_start + bctx->total_rows);
if (start_row >= end_row) return;
uint8_t * src0_spad_base = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
uint8_t * dst_spad_base = octx->dst_spad.data + (ith * octx->dst_spad.size_per_thread);
size_t src0_spad_half = octx->src0_spad.size_per_thread / 2;
size_t dst_spad_half = octx->dst_spad.size_per_thread / 2;
dma_queue * q = octx->ctx->dma[ith];
uint32_t ir_prefetch = start_row;
int spad_idx = 0;
for (int k = 0; k < 2 && ir_prefetch < end_row; k++) {
uint32_t current_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
uint32_t i03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
uint32_t rem = ir_prefetch - i03 * (ne02 * ne01);
uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
uint32_t i01 = rem - i02 * ne01;
uint8_t * src0_curr = (uint8_t *)src0->data + i03 * nb03 + i02 * nb02 + i01 * nb01;
uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
uint8_t * s0_spad = src0_spad_base + spad_idx * src0_spad_half;
uint8_t * d_spad = dst_spad_base + spad_idx * dst_spad_half;
dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, ne00 * sizeof(float), 0);
dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, ne00 * sizeof(float), current_block_size);
ir_prefetch += current_block_size;
spad_idx ^= 1;
}
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
for (uint32_t ir = start_row; ir < end_row; ) {
uint32_t current_block_size = calc_block_size(bctx, ir, end_row, ne01, ne02);
uint8_t * d_spad = (uint8_t *) dma_queue_pop(q).src;
uint8_t * s0_spad = (uint8_t *) dma_queue_pop(q).dst;
uint32_t i03 = fastdiv(ir, &bctx->src0_dim12_div);
uint32_t rem = ir - i03 * (ne02 * ne01);
uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
uint32_t i01 = rem - i02 * ne01;
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
for (uint32_t r = 0; r < current_block_size; r++) {
uint32_t r_i01 = i01 + r; // linear within block since we split at ne01
const int32_t idx = *(int32_t *)((char *)src2->data + r_i01 * src2->nb[0] + i02 * src2->nb[1]);
uint8_t * r_src1 = (uint8_t *)src1->data + idx * nb11;
uint8_t * r_src0 = s0_spad + r * bctx->src0_row_size_aligned;
uint8_t * r_dst = d_spad + r * bctx->dst_row_size_aligned;
hvx_add_f32_aau(r_dst, r_src0, r_src1, ne00);
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, ne00 * sizeof(float), current_block_size);
if (ir_prefetch < end_row) {
uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
uint32_t p03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
uint32_t prem = ir_prefetch - p03 * (ne02 * ne01);
uint32_t p02 = fastdiv(prem, &bctx->src0_dim1_div);
uint32_t p01 = prem - p02 * ne01;
uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, ne00 * sizeof(float), next_block_size);
ir_prefetch += next_block_size;
}
ir += current_block_size;
}
dma_queue_flush(q);
}
static int execute_op_binary(struct htp_ops_context * octx) {
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * src1 = octx->src[1];
const struct htp_tensor * dst = octx->dst;
const uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3];
// Use packed row sizes for VTCM allocation and alignment
const uint32_t src0_type = octx->src[0]->type;
const size_t elem_size = (src0_type == HTP_TYPE_F32) ? sizeof(float) : sizeof(_Float16);
const size_t src0_row_size = src0->ne[0] * elem_size;
const size_t src1_row_size = src1->ne[0] * elem_size;
const size_t dst_row_size = dst->ne[0] * elem_size;
uint32_t row_start = 0;
uint32_t nrows = src0_nrows;
if (octx->ctx->mdev.count > 1) {
uint32_t rows_per_chunk = 0;
htp_tensor_mdev_rows_per_chunk(dst, (uint32_t) elem_size, (uint32_t) dst_row_size, &rows_per_chunk);
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(src0_nrows, rows_per_chunk, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
row_start = range.start;
nrows = range.count;
}
if (nrows == 0) {
return HTP_STATUS_OK;
}
const uint32_t n_threads = octx->n_threads;
size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN);
size_t src1_row_size_aligned = hex_round_up(src1_row_size, VLEN);
size_t dst_row_size_aligned = hex_round_up(dst_row_size, VLEN);
bool is_add_id = (octx->op == HTP_OP_ADD_ID);
bool is_scalar = !is_add_id && (src1->ne[0] == 1);
bool is_transposed = (src0->nb[1] < src0_row_size || src1->nb[1] < src1_row_size || dst->nb[1] < dst_row_size);
bool is_same_shape = !is_add_id && !is_scalar && !is_transposed &&
(src1->ne[0] == src0->ne[0] && src0->ne[0] % VLEN == 0) &&
(src1->ne[1] == src0->ne[1] || src1->ne[1] == 1) &&
(src1->ne[2] == src0->ne[2] || src1->ne[2] == 1) &&
(src1->ne[3] == src0->ne[3] || src1->ne[3] == 1);
bool is_row_bcast = is_same_shape && (src1->ne[1] == 1 && src1->ne[2] == 1 && src1->ne[3] == 1);
bool is_complex = !is_add_id && !is_scalar && !is_same_shape && (src1->ne[0] == src0->ne[0]);
bool is_repeat = !is_add_id && !is_scalar && !is_same_shape && (src1->ne[0] != src0->ne[0]);
size_t spad_row_total;
if (is_same_shape) {
spad_row_total = 2 * (src0_row_size_aligned + src1_row_size_aligned + dst_row_size_aligned);
} else {
spad_row_total = 2 * (src0_row_size_aligned + dst_row_size_aligned);
}
size_t rows_per_buffer = octx->ctx->vtcm_size / (n_threads * spad_row_total);
// Adjust for static src1 in row_bcast case
if (is_row_bcast) {
size_t needed_static = src1_row_size_aligned;
if (octx->ctx->vtcm_size < needed_static) return HTP_STATUS_VTCM_TOO_SMALL;
size_t avail = octx->ctx->vtcm_size - needed_static;
rows_per_buffer = avail / (n_threads * spad_row_total);
}
if (rows_per_buffer < 1) {
FARF(ERROR, "binary: VTCM too small\n");
return HTP_STATUS_VTCM_TOO_SMALL;
}
octx->src0_spad.size_per_thread = rows_per_buffer * 2 * src0_row_size_aligned;
octx->dst_spad.size_per_thread = rows_per_buffer * 2 * dst_row_size_aligned;
if (is_add_id || is_scalar || is_complex || is_repeat || is_row_bcast) {
octx->src1_spad.size_per_thread = 0;
} else {
octx->src1_spad.size_per_thread = rows_per_buffer * 2 * src1_row_size_aligned;
}
octx->dst_spad.size = n_threads * octx->dst_spad.size_per_thread;
octx->src0_spad.size = n_threads * octx->src0_spad.size_per_thread;
if (is_row_bcast) {
octx->src1_spad.size = src1_row_size_aligned;
} else {
octx->src1_spad.size = n_threads * octx->src1_spad.size_per_thread;
}
if (octx->ctx->vtcm_size < (octx->src0_spad.size + octx->src1_spad.size + octx->dst_spad.size)) {
return HTP_STATUS_VTCM_TOO_SMALL;
}
octx->src0_spad.data = octx->ctx->vtcm_base; octx->src0_spad.src = NULL;
octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size; octx->src1_spad.src = NULL;
octx->dst_spad.data = octx->src1_spad.data + octx->src1_spad.size; octx->dst_spad.src = NULL;
if ((octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
return HTP_STATUS_OK;
}
dma_queue * q = octx->ctx->dma[0];
if (is_row_bcast) {
dma_queue_push(q, dma_make_ptr(octx->src1_spad.data, (const void *) src1->data), src1_row_size_aligned, 0, src1->ne[0] * elem_size, 1);
}
struct htp_binary_context bctx;
bctx.octx = octx;
bctx.nrows_per_thread = fastdiv(nrows + n_threads - 1, &octx->n_threads_div);
bctx.total_rows = nrows;
bctx.row_start = row_start;
bctx.block_max = rows_per_buffer;
bctx.src0_row_size_aligned = src0_row_size_aligned;
bctx.src1_row_size_aligned = src1_row_size_aligned;
bctx.dst_row_size_aligned = dst_row_size_aligned;
bctx.src0_dim1_div = init_fastdiv_values(src0->ne[1]);
bctx.src0_dim2_div = init_fastdiv_values(src0->ne[2]);
bctx.src0_dim12_div = init_fastdiv_values(src0->ne[1] * src0->ne[2]);
bctx.src1_dim1_div = init_fastdiv_values(src1->ne[1]);
bctx.src1_dim2_div = init_fastdiv_values(src1->ne[2]);
bctx.src1_dim3_div = init_fastdiv_values(src1->ne[3]);
bool src0_contig_dim1 = (src0->nb[2] == src0->ne[1] * src0->nb[1]);
bool dst_contig_dim1 = (dst->nb[2] == src0->ne[1] * dst->nb[1]);
bool src0_contig_dim2 = (src0->nb[3] == src0->ne[2] * src0->nb[2]);
bool dst_contig_dim2 = (dst->nb[3] == src0->ne[2] * dst->nb[2]);
bctx.split_at_ne01 = (src0->ne[2] > 1) && ((src1->ne[1] > 1) || (src1->ne[2] > 1) || !src0_contig_dim1 || !dst_contig_dim1);
bctx.split_at_ne02 = (src0->ne[3] > 1) && ((src1->ne[2] > 1) || (src1->ne[3] > 1) || !src0_contig_dim2 || !dst_contig_dim2);
worker_callback_t worker_func;
if (is_add_id) worker_func = binary_job_add_id;
else if (is_scalar) worker_func = binary_job_scalar;
else if (is_row_bcast) worker_func = binary_job_vector_row_broadcast;
else if (is_same_shape) worker_func = binary_job_vector_same_shape;
else if (is_complex) worker_func = binary_job_vector_complex;
else worker_func = binary_job_element_repeat;
if (is_row_bcast) {
dma_queue_pop(q);
}
work_queue_run(octx->ctx->work_queue, worker_func, &bctx, n_threads);
return HTP_STATUS_OK;
}
int op_binary(struct htp_ops_context * octx) {
// Does not support permutations of src1
const struct htp_tensor * src1 = octx->src[1];
if (src1->nb[1] < src1->nb[0]) {
return HTP_STATUS_NO_SUPPORT;
}
const uint32_t src0_type = octx->src[0]->type;
if ((src0_type == HTP_TYPE_F32) || (src0_type == HTP_TYPE_F16)) {
return execute_op_binary(octx);
}
return HTP_STATUS_NO_SUPPORT;
}

View File

@@ -0,0 +1,155 @@
if (HEXAGON_TOOLCHAIN_INCLUDED)
return()
endif()
set(HEXAGON_TOOLCHAIN_INCLUDED true)
# Cross Compiling for Hexagon
set(HEXAGON TRUE)
set(CMAKE_SYSTEM_NAME QURT)
set(CMAKE_SYSTEM_PROCESSOR Hexagon)
set(CMAKE_SYSTEM_VERSION "1") #${HEXAGON_PLATFORM_LEVEL})
set(CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER)
set(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY)
set(CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)
set(CMAKE_FIND_ROOT_PATH_MODE_PACKAGE ONLY)
set(CUSTOM_RUNELF_PATH "")
if (NOT HEXAGON_SDK_ROOT)
set(HEXAGON_SDK_ROOT $ENV{HEXAGON_SDK_ROOT})
endif()
if (NOT HEXAGON_TOOLS_ROOT)
if (DEFINED ENV{HEXAGON_TOOLS_ROOT})
set(HEXAGON_TOOLS_ROOT $ENV{HEXAGON_TOOLS_ROOT})
endif()
if(NOT HEXAGON_TOOLS_ROOT)
set(HEXAGON_TOOLS_ROOT $ENV{DEFAULT_HEXAGON_TOOLS_ROOT})
endif()
endif()
file(TO_CMAKE_PATH "${HEXAGON_TOOLS_ROOT}" HEXAGON_TOOLS_ROOT)
file(TO_CMAKE_PATH "${HEXAGON_SDK_ROOT}" HEXAGON_SDK_ROOT)
if(CMAKE_HOST_SYSTEM_NAME STREQUAL Windows)
set(HEXAGON_TOOLCHAIN_SUFFIX .exe)
endif()
message(DEBUG "CMAKE_HOST_SYSTEM_NAME:${CMAKE_HOST_SYSTEM_NAME}")
include(${HEXAGON_SDK_ROOT}/build/cmake/hexagon_arch.cmake)
set(HEXAGON_TOOLCHAIN ${HEXAGON_TOOLS_ROOT})
set(HEXAGON_LIB_DIR "${HEXAGON_TOOLCHAIN}/Tools/target/hexagon/lib")
set(HEXAGON_ISS_DIR ${HEXAGON_TOOLCHAIN}/Tools/lib/iss)
set(CMAKE_TRY_COMPILE_PLATFORM_VARIABLES
HEXAGON_SDK_ROOT
HEXAGON_TOOLS_ROOT
)
# QURT Related includes and linker flags
set(V_ARCH ${HEXAGON_ARCH})
set(_QURT_INSTALL_DIR "${HEXAGON_SDK_ROOT}/rtos/qurt/ADSP${V_ARCH}MP${V_ARCH_EXTN}")
set(_QURT_INSTALL_DIR "${HEXAGON_SDK_ROOT}/rtos/qurt/compute${V_ARCH}${V_ARCH_EXTN}")
if (${TREE} MATCHES PAKMAN)
set(_QURT_INSTALL_DIR "${QURT_IMAGE_DIR}/compute${V_ARCH}${V_ARCH_EXTN}")
endif()
message(DEBUG "_QURT_INSTALL_DIR:${_QURT_INSTALL_DIR}")
set(RTOS_DIR ${_QURT_INSTALL_DIR})
set(QCC_DIR "${HEXAGON_QCC_DIR}/${V_ARCH}/G0")
set(TARGET_DIR "${HEXAGON_LIB_DIR}/${V_ARCH}/G0")
include_directories(
${_QURT_INSTALL_DIR}/include
${_QURT_INSTALL_DIR}/include/qurt
${_QURT_INSTALL_DIR}/include/posix
)
set(QURT_START_LINK_LIBS)
set(QURT_START_LINK_LIBS
"${TARGET_DIR}/init.o"
"${RTOS_DIR}/lib/crt1.o"
"${RTOS_DIR}/lib/debugmon.o"
"${RTOS_DIR}/lib/libqurt.a"
"${TARGET_DIR}/libc.a"
"${TARGET_DIR}/libqcc.a"
"${TARGET_DIR}/libhexagon.a"
"${RTOS_DIR}/lib/libqurtcfs.a"
"${RTOS_DIR}/lib/libtimer_island.a"
"${RTOS_DIR}/lib/libtimer_main.a"
"${RTOS_DIR}/lib/libposix.a"
)
STRING(REPLACE ";" " " QURT_START_LINK_LIBS "${QURT_START_LINK_LIBS}")
set(QURT_END_LINK_LIBS ${TARGET_DIR}/fini.o)
# Non QURT related includes and linker flags
set(TARGET_DIR_NOOS "${HEXAGON_TOOLCHAIN}/Tools/target/hexagon/lib/${HEXAGON_ARCH}")
if (NOT NO_WRAP_MEM_API)
set(WRAP_MALLOC -Wl,--wrap=malloc)
set(WRAP_CALLOC -Wl,--wrap=calloc)
set(WRAP_FREE -Wl,--wrap=free)
set(WRAP_REALLOC -Wl,--wrap=realloc)
set(WRAP_MEMALIGN -Wl,--wrap=memalign)
endif()
set(ARCH_FLAGS "-mcpu=${V_ARCH} -m${V_ARCH} -mhvx=${V_ARCH} -mhmx")
set(PIC_SHARED_LD_FLAGS
${ARCH_FLAGS}
-G0
-fpic
-Wl,-Bsymbolic
-Wl,-L${TARGET_DIR_NOOS}/G0/pic
-Wl,-L${HEXAGON_TOOLCHAIN}/Tools/target/hexagon/lib/
-Wl,--no-threads ${WRAP_MALLOC} ${WRAP_CALLOC} ${WRAP_FREE} ${WRAP_REALLOC} ${WRAP_MEMALIGN}
-shared
"-o <TARGET> <SONAME_FLAG><TARGET_SONAME>"
"<LINK_FLAGS>"
-Wl,--start-group
"<OBJECTS>"
"<LINK_LIBRARIES>"
-Wl,--end-group
-lc
)
STRING(REPLACE ";" " " PIC_SHARED_LD_FLAGS "${PIC_SHARED_LD_FLAGS}")
set(HEXAGON_PIC_SHARED_LINK_OPTIONS "${PIC_SHARED_LD_FLAGS}")
# System include paths
include_directories(SYSTEM ${HEXAGON_SDK_ROOT}/incs)
include_directories(SYSTEM ${HEXAGON_SDK_ROOT}/incs/stddef)
include_directories(SYSTEM ${HEXAGON_SDK_ROOT}/ipc/fastrpc/incs)
# LLVM toolchain setup
# Compiler paths, options and architecture
set(CMAKE_C_COMPILER ${HEXAGON_TOOLCHAIN}/Tools/bin/hexagon-clang${HEXAGON_TOOLCHAIN_SUFFIX})
set(CMAKE_CXX_COMPILER ${HEXAGON_TOOLCHAIN}/Tools/bin/hexagon-clang++${HEXAGON_TOOLCHAIN_SUFFIX})
set(CMAKE_AR ${HEXAGON_TOOLCHAIN}/Tools/bin/hexagon-ar${HEXAGON_TOOLCHAIN_SUFFIX})
set(CMAKE_ASM_COMPILER ${HEXAGON_TOOLCHAIN}/Tools/bin/hexagon-clang++${HEXAGON_TOOLCHAIN_SUFFIX})
set(HEXAGON_LINKER ${CMAKE_C_COMPILER})
set(CMAKE_PREFIX_PATH ${HEXAGON_TOOLCHAIN}/Tools/target/hexagon)
set(CMAKE_SHARED_LIBRARY_SONAME_C_FLAG "-Wl,-soname,")
set(CMAKE_SHARED_LIBRARY_SONAME_CXX_FLAG "-Wl,-soname,")
# Compiler Options
set(COMMON_FLAGS "${ARCH_FLAGS} -fvectorize -flto -Wall -Werror -fno-zero-initialized-in-bss -G0 -fdata-sections -fpic ${XQF_ARGS}")
set(CMAKE_CXX_FLAGS_DEBUG "${COMMON_FLAGS} -O0 -D_DEBUG -g")
set(CMAKE_CXX_FLAGS_RELWITHDEBINFO "${COMMON_FLAGS} -O2 -g")
set(CMAKE_CXX_FLAGS_RELEASE "${COMMON_FLAGS} -O2")
set(CMAKE_C_FLAGS_DEBUG "${COMMON_FLAGS} -O0 -D_DEBUG -g")
set(CMAKE_C_FLAGS_RELWITHDEBINFO "${COMMON_FLAGS} -O2 -g")
set(CMAKE_C_FLAGS_RELEASE "${COMMON_FLAGS} -O2")
set(CMAKE_ASM_FLAGS_DEBUG "${COMMON_FLAGS} ${CMAKE_CXX_FLAGS_DEBUG}")
set(CMAKE_ASM_FLAGS_RELEASE "${COMMON_FLAGS} ${CMAKE_CXX_FLAGS_RELEASE}")
set(CMAKE_ASM_FLAGS_RELWITHDEBINFO "${COMMON_FLAGS} ${CMAKE_CXX_FLAGS_RELWITHDEBINFO}" )
#Linker Options
set(CMAKE_C_CREATE_SHARED_LIBRARY "${HEXAGON_LINKER} ${HEXAGON_PIC_SHARED_LINK_OPTIONS}")
set(CMAKE_CXX_CREATE_SHARED_LIBRARY "${HEXAGON_LINKER} ${HEXAGON_PIC_SHARED_LINK_OPTIONS}")

View File

@@ -0,0 +1,328 @@
#include "hex-common.h"
#include "hex-profile.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "htp-tensor.h"
#include "hexagon_types.h"
#include "hexagon_protos.h"
#include "hvx_hexagon_protos.h"
#include "hex-dma.h"
#include "htp-vtcm.h"
#include "hvx-utils.h"
#include "hex-fastdiv.h"
#include <string.h>
struct htp_concat_context {
struct htp_ops_context * octx;
uint32_t dim;
uint32_t nrows_per_thread;
uint32_t row_start;
uint32_t nrows;
uint32_t elem_start;
uint32_t nelems;
struct fastdiv_values div_ne0;
struct fastdiv_values div_ne1;
struct fastdiv_values div_ne2;
};
static void concat_2d_f32_transposed(unsigned int nth, unsigned int ith, void * data) {
struct htp_concat_context * cctx = (struct htp_concat_context *) data;
struct htp_ops_context * octx = cctx->octx;
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * src1 = octx->src[1];
const struct htp_tensor * dst = octx->dst;
const uint32_t src0_ne0 = src0->ne[0];
const uint32_t src1_ne0 = src1->ne[0];
const uint32_t row_end = cctx->row_start + cctx->nrows;
const uint32_t start_i = cctx->row_start + ith * cctx->nrows_per_thread;
const uint32_t end_i = (start_i + cctx->nrows_per_thread < row_end) ? (start_i + cctx->nrows_per_thread) : row_end;
if (start_i >= end_i) return;
dma_queue * q = octx->ctx->dma[ith];
uint8_t * spad0_base = octx->src0_spad.data + ith * octx->src0_spad.size_per_thread;
uint8_t * spad1_base = octx->src1_spad.data + ith * octx->src1_spad.size_per_thread;
const uint32_t block_i = 32;
const uint32_t spad1_stride = block_i * sizeof(float);
int32_t offsets[32] __attribute__((aligned(128)));
for(int k=0; k<32; k++) {
offsets[k] = k * spad1_stride;
}
HVX_Vector vv = *(HVX_Vector*)offsets;
const uint32_t src1_ne0_padded = hex_round_up(src1_ne0, 32);
const uint32_t spad0_row_bytes = hex_round_up((src0_ne0 + src1_ne0_padded) * sizeof(float), VLEN);
uint32_t mu = src1_ne0_padded * spad1_stride;
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
for (uint32_t i = start_i; i < end_i; i += block_i) {
uint32_t current_block_i = (end_i - i < block_i) ? (end_i - i) : block_i;
uint32_t src1_width_bytes = current_block_i * sizeof(float);
uint8_t * src1_ptr = (uint8_t *)src1->data + i * src1->nb[1];
dma_queue_push(q, dma_make_ptr(spad1_base, src1_ptr), spad1_stride, src1->nb[0], src1_width_bytes, src1_ne0);
uint32_t src0_row_bytes = src0_ne0 * sizeof(float);
uint8_t * src0_ptr = (uint8_t *)src0->data + i * src0->nb[1];
dma_queue_push(q, dma_make_ptr(spad0_base, src0_ptr), spad0_row_bytes, src0->nb[1], src0_row_bytes, current_block_i);
dma_queue_pop(q); // src1
HVX_Vector * vtcm_tmp = (HVX_Vector *)(spad1_base + src1_ne0_padded * spad1_stride);
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) i);
for (uint32_t j = 0; j < src1_ne0_padded; j += 32) {
#pragma unroll(4)
for (uint32_t ii = 0; ii < current_block_i; ii++) {
size_t rt = (size_t)(spad1_base + j * spad1_stride + ii * sizeof(float));
Q6_vgather_ARMVw(&vtcm_tmp[ii], rt, mu, vv);
uint8_t * dst_ptr = spad0_base + ii * spad0_row_bytes + (src0_ne0 + j) * sizeof(float);
hvx_vmemu(dst_ptr) = vtcm_tmp[ii];
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) i);
dma_queue_pop(q); // src0
uint8_t * dst_ptr = (uint8_t *)dst->data + i * dst->nb[1];
dma_queue_push(q, dma_make_ptr(dst_ptr, spad0_base), dst->nb[1], spad0_row_bytes, (src0_ne0 + src1_ne0) * sizeof(float), current_block_i);
dma_queue_pop(q);
}
}
static void concat_2d_f16_transposed(unsigned int nth, unsigned int ith, void * data) {
struct htp_concat_context * cctx = (struct htp_concat_context *) data;
struct htp_ops_context * octx = cctx->octx;
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * src1 = octx->src[1];
const struct htp_tensor * dst = octx->dst;
const uint32_t src0_ne0 = src0->ne[0];
const uint32_t src1_ne0 = src1->ne[0];
const uint32_t row_end = cctx->row_start + cctx->nrows;
const uint32_t start_i = cctx->row_start + ith * cctx->nrows_per_thread;
const uint32_t end_i = (start_i + cctx->nrows_per_thread < row_end) ? (start_i + cctx->nrows_per_thread) : row_end;
if (start_i >= end_i) return;
dma_queue * q = octx->ctx->dma[ith];
uint8_t * spad0_base = octx->src0_spad.data + ith * octx->src0_spad.size_per_thread;
uint8_t * spad1_base = octx->src1_spad.data + ith * octx->src1_spad.size_per_thread;
const uint32_t block_i = 64;
const uint32_t spad1_stride = block_i * sizeof(__fp16);
int16_t offsets[64] __attribute__((aligned(128)));
for(int k=0; k<64; k++) {
offsets[k] = k * spad1_stride;
}
HVX_Vector vv = *(HVX_Vector*)offsets;
const uint32_t src1_ne0_padded = hex_round_up(src1_ne0, 64);
const uint32_t spad0_row_bytes = hex_round_up((src0_ne0 + src1_ne0_padded) * sizeof(__fp16), VLEN);
uint32_t mu = src1_ne0_padded * spad1_stride;
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
for (uint32_t i = start_i; i < end_i; i += block_i) {
uint32_t current_block_i = (end_i - i < block_i) ? (end_i - i) : block_i;
uint32_t src1_width_bytes = current_block_i * sizeof(__fp16);
uint8_t * src1_ptr = (uint8_t *)src1->data + i * src1->nb[1];
dma_queue_push(q, dma_make_ptr(spad1_base, src1_ptr), spad1_stride, src1->nb[0], src1_width_bytes, src1_ne0);
uint32_t src0_row_bytes = src0_ne0 * sizeof(__fp16);
uint8_t * src0_ptr = (uint8_t *)src0->data + i * src0->nb[1];
dma_queue_push(q, dma_make_ptr(spad0_base, src0_ptr), spad0_row_bytes, src0->nb[1], src0_row_bytes, current_block_i);
dma_queue_pop(q); // src1
HVX_Vector * vtcm_tmp = (HVX_Vector *)(spad1_base + src1_ne0_padded * spad1_stride);
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) i);
for (uint32_t j = 0; j < src1_ne0_padded; j += 64) {
#pragma unroll(4)
for (uint32_t ii = 0; ii < current_block_i; ii++) {
size_t rt = (size_t)(spad1_base + j * spad1_stride + ii * sizeof(__fp16));
Q6_vgather_ARMVh(&vtcm_tmp[ii], rt, mu, vv);
uint8_t * dst_ptr = spad0_base + ii * spad0_row_bytes + (src0_ne0 + j) * sizeof(__fp16);
hvx_vmemu(dst_ptr) = vtcm_tmp[ii];
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) i);
dma_queue_pop(q); // src0
uint8_t * dst_ptr = (uint8_t *)dst->data + i * dst->nb[1];
dma_queue_push(q, dma_make_ptr(dst_ptr, spad0_base), dst->nb[1], spad0_row_bytes, (src0_ne0 + src1_ne0) * sizeof(__fp16), current_block_i);
dma_queue_pop(q);
}
}
static void concat_generic(unsigned int nth, unsigned int ith, void * data) {
struct htp_concat_context * cctx = (struct htp_concat_context *) data;
struct htp_ops_context * octx = cctx->octx;
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * src1 = octx->src[1];
const struct htp_tensor * dst = octx->dst;
const int dim = cctx->dim;
const uint32_t type_size = (dst->type == HTP_TYPE_F32 || dst->type == HTP_TYPE_I32) ? 4 : 2;
const uint32_t ne[4] = {dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3]};
// Per-device element range aligned to prevent false sharing
const uint32_t elem_start = cctx->elem_start;
const uint32_t nelems = cctx->nelems;
const uint32_t chunk_size = (nelems + nth - 1) / nth;
const uint32_t start_idx = MIN(elem_start + ith * chunk_size, elem_start + nelems);
const uint32_t end_idx = MIN(start_idx + chunk_size, elem_start + nelems);
// Naive scalar element-wise copy
for (uint32_t idx = start_idx; idx < end_idx; idx++) {
uint32_t idx_div_ne0 = fastdiv(idx, &cctx->div_ne0);
uint32_t i0 = idx - idx_div_ne0 * ne[0];
uint32_t idx_div_ne01 = fastdiv(idx_div_ne0, &cctx->div_ne1);
uint32_t i1 = idx_div_ne0 - idx_div_ne01 * ne[1];
uint32_t idx_div_ne012 = fastdiv(idx_div_ne01, &cctx->div_ne2);
uint32_t i2 = idx_div_ne01 - idx_div_ne012 * ne[2];
uint32_t i3 = idx_div_ne012;
uint8_t * dst_ptr = (uint8_t *)dst->data + i3 * dst->nb[3] + i2 * dst->nb[2] + i1 * dst->nb[1] + i0 * dst->nb[0];
uint32_t idx_dim = 0;
if (dim == 0) idx_dim = i0;
else if (dim == 1) idx_dim = i1;
else if (dim == 2) idx_dim = i2;
else if (dim == 3) idx_dim = i3;
const struct htp_tensor * src = (idx_dim < src0->ne[dim]) ? src0 : src1;
uint32_t s0 = i0;
uint32_t s1 = i1;
uint32_t s2 = i2;
uint32_t s3 = i3;
if (dim == 0 && src == src1) s0 -= src0->ne[0];
if (dim == 1 && src == src1) s1 -= src0->ne[1];
if (dim == 2 && src == src1) s2 -= src0->ne[2];
if (dim == 3 && src == src1) s3 -= src0->ne[3];
uint8_t * src_ptr = (uint8_t *)src->data + s3 * src->nb[3] + s2 * src->nb[2] + s1 * src->nb[1] + s0 * src->nb[0];
if (type_size == 4) {
*(float*)dst_ptr = *(float*)src_ptr;
} else {
*(__fp16*)dst_ptr = *(__fp16*)src_ptr;
}
}
}
int op_concat(struct htp_ops_context * octx) {
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * src1 = octx->src[1];
const struct htp_tensor * dst = octx->dst;
int dim = octx->op_params[0];
bool is_2d = dst->ne[2] == 1 && dst->ne[3] == 1;
const uint32_t type_size = (dst->type == HTP_TYPE_F32 || dst->type == HTP_TYPE_I32) ? 4 : 2;
bool is_src1_transposed = (src1->nb[0] > src1->nb[1]);
bool is_src0_transposed = (src0->nb[0] > src0->nb[1]);
uint32_t n_threads = octx->n_threads;
struct htp_concat_context cctx;
cctx.octx = octx;
cctx.dim = dim;
cctx.div_ne0 = init_fastdiv_values(dst->ne[0]);
cctx.div_ne1 = init_fastdiv_values(dst->ne[1]);
cctx.div_ne2 = init_fastdiv_values(dst->ne[2]);
void (*worker_func)(unsigned int, unsigned int, void *) = concat_generic;
if (dim == 0 && is_2d && is_src1_transposed && !is_src0_transposed) {
const uint32_t total_rows = dst->ne[1];
const size_t dst_data_row_size = dst->ne[0] * type_size;
uint32_t row_start = 0;
uint32_t nrows = total_rows;
if (octx->ctx->mdev.count > 1) {
uint32_t rows_per_chunk = 0;
htp_tensor_mdev_rows_per_chunk(dst, type_size, (uint32_t) dst_data_row_size, &rows_per_chunk);
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(total_rows, rows_per_chunk, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
row_start = range.start;
nrows = range.count;
}
if (nrows == 0) {
return HTP_STATUS_OK;
}
cctx.row_start = row_start;
cctx.nrows = nrows;
uint32_t block_i = (type_size == 4) ? 32 : 64;
cctx.nrows_per_thread = fastdiv(nrows + n_threads - 1, &octx->n_threads_div);
// Allocate VTCM
uint32_t spad1_stride = block_i * type_size;
uint32_t src1_ne0_padded = hex_round_up(src1->ne[0], block_i);
uint32_t spad0_row_bytes = hex_round_up((src0->ne[0] + src1_ne0_padded) * type_size, VLEN);
octx->src0_spad.size_per_thread = block_i * spad0_row_bytes;
octx->src1_spad.size_per_thread = src1_ne0_padded * spad1_stride + block_i * VLEN;
octx->src0_spad.size = n_threads * octx->src0_spad.size_per_thread;
octx->src1_spad.size = n_threads * octx->src1_spad.size_per_thread;
if (octx->src0_spad.size + octx->src1_spad.size > octx->ctx->vtcm_size) {
return HTP_STATUS_VTCM_TOO_SMALL;
}
octx->src0_spad.data = octx->ctx->vtcm_base;
octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
octx->src0_spad.src = NULL;
octx->src1_spad.src = NULL;
if (type_size == 4) {
worker_func = concat_2d_f32_transposed;
} else {
worker_func = concat_2d_f16_transposed;
}
} else {
const uint32_t total_elements = dst->ne[0] * dst->ne[1] * dst->ne[2] * dst->ne[3];
uint32_t elem_start = 0;
uint32_t nelems = total_elements;
if (octx->ctx->mdev.count > 1) {
const uint32_t elems_per_chunk = HEX_L2_LINE_SIZE / type_size;
const bool can_split = htp_tensor_mdev_data_aligned(dst) && htp_tensor_is_contiguous(dst, type_size) && !htp_tensor_is_permuted(dst);
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(total_elements, can_split ? elems_per_chunk : 0, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
elem_start = range.start;
nelems = range.count;
}
if (nelems == 0) {
return HTP_STATUS_OK;
}
cctx.elem_start = elem_start;
cctx.nelems = nelems;
}
work_queue_run(octx->ctx->work_queue, worker_func, &cctx, n_threads);
return HTP_STATUS_OK;
}

View File

@@ -0,0 +1,436 @@
#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <HAP_perf.h>
#include <qurt_memory.h>
#include <math.h>
#include <string.h>
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "htp-ops.h"
#include "hvx-utils.h"
#include "htp-tensor.h"
#include "htp-fence.h"
struct htp_copy_context {
struct htp_ops_context * octx;
uint32_t src0_type_size;
uint32_t src0_block_size;
uint32_t dst_type_size;
uint32_t dst_block_size;
uint32_t src0_blocks_per_row;
uint32_t dst_blocks_per_row;
uint32_t elem_start;
uint32_t nelem;
uint32_t elem_per_thread;
uint32_t src0_nrows_per_thread;
uint32_t row_start;
uint32_t nrows;
struct fastdiv_values div_ne01;
struct fastdiv_values div_ne02_ne01;
struct fastdiv_values div_ne0;
struct fastdiv_values div_ne1_ne0;
struct fastdiv_values div_ne2_ne1_ne0;
struct fastdiv_values div_ne00;
struct fastdiv_values div_ne01_ne00;
struct fastdiv_values div_ne02_ne01_ne00;
};
#define cpy_preamble \
const struct htp_tensor *src0 = octx->src[0]; \
const struct htp_tensor *dst = octx->dst; \
\
const uint32_t ne00 = src0->ne[0]; \
const uint32_t ne01 = src0->ne[1]; \
const uint32_t ne02 = src0->ne[2]; \
const uint32_t ne03 = src0->ne[3]; \
\
const uint32_t nb00 = src0->nb[0]; \
const uint32_t nb01 = src0->nb[1]; \
const uint32_t nb02 = src0->nb[2]; \
const uint32_t nb03 = src0->nb[3]; \
\
const uint32_t ne0 = dst->ne[0]; \
const uint32_t ne1 = dst->ne[1]; \
const uint32_t ne2 = dst->ne[2]; \
const uint32_t ne3 = dst->ne[3]; \
\
const uint32_t nb0 = dst->nb[0]; \
const uint32_t nb1 = dst->nb[1]; \
const uint32_t nb2 = dst->nb[2]; \
const uint32_t nb3 = dst->nb[3];
#define DEFINE_CPY_SAMESHAPE(NAME, ELEM_TYPE, ELEM_SIZE) \
static void cpy_thread_##NAME##_sameshape(unsigned int nth, unsigned int ith, void * data) { \
struct htp_copy_context * ct = (struct htp_copy_context *) data; \
struct htp_ops_context * octx = ct->octx; \
cpy_preamble; \
const uint32_t dr = ct->src0_nrows_per_thread; \
const uint32_t ir0 = ct->row_start + dr * ith; \
const uint32_t ir1 = MIN(ir0 + dr, ct->row_start + ct->nrows); \
if (ir0 >= ir1) return; \
const bool contiguous = (nb01 == ne00 * ELEM_SIZE) && (nb1 == nb01) && \
(nb02 == ne01 * nb01) && (nb2 == nb02) && \
(nb03 == ne02 * nb02) && (nb3 == nb03); \
const uint32_t ne02_ne01 = ne02 * ne01; \
uint32_t i03 = fastdiv(ir0, &ct->div_ne02_ne01); \
uint32_t rem = ir0 - i03 * ne02_ne01; \
uint32_t i02 = fastdiv(rem, &ct->div_ne01); \
uint32_t i01 = rem - i02 * ne01; \
uint8_t * dst_ptr = (uint8_t *) dst->data + i01*nb1 + i02*nb2 + i03*nb3; \
uint8_t * src0_ptr = (uint8_t *) src0->data + i01*nb01 + i02*nb02 + i03*nb03; \
if (contiguous) { \
hvx_copy_uu(dst_ptr, src0_ptr, (ir1 - ir0) * ne00, ELEM_SIZE); \
return; \
} \
for (uint32_t r = ir0; r < ir1; r++) { \
hex_l2fetch(src0_ptr, ne00 * ELEM_SIZE, nb01, 2); \
hvx_copy_uu(dst_ptr, src0_ptr, ne00, ELEM_SIZE); \
dst_ptr += nb1; \
src0_ptr += nb01; \
if (++i01 == ne01) { \
i01 = 0; \
if (++i02 == ne02) { \
i02 = 0; \
i03++; \
} \
dst_ptr = (uint8_t *) dst->data + i02*nb2 + i03*nb3; \
src0_ptr = (uint8_t *) src0->data + i02*nb02 + i03*nb03; \
} \
} \
}
DEFINE_CPY_SAMESHAPE(f32, float, 4)
DEFINE_CPY_SAMESHAPE(f16, __fp16, 2)
#define DEFINE_CPY_RESHAPE(NAME, ELEM_TYPE, ELEM_SIZE) \
static void cpy_thread_##NAME##_reshape(unsigned int nth, unsigned int ith, void * data) { \
struct htp_copy_context * ct = (struct htp_copy_context *) data; \
struct htp_ops_context * octx = ct->octx; \
cpy_preamble; \
const uint32_t th_nelem = ct->elem_per_thread; \
const uint32_t th_start = ct->elem_start + ith * th_nelem; \
const uint32_t th_end = MIN(th_start + th_nelem, ct->elem_start + ct->nelem); \
if (th_start >= th_end) return; \
\
const uint32_t ne01_ne00 = ne01 * ne00; \
const uint32_t ne02_ne01_ne00 = ne02 * ne01_ne00; \
const uint32_t ne1_ne0 = ne1 * ne0; \
const uint32_t ne2_ne1_ne0 = ne2 * ne1_ne0; \
\
uint32_t e = th_start; \
uint32_t i13 = fastdiv(e, &ct->div_ne2_ne1_ne0); \
uint32_t rem = e - i13 * ne2_ne1_ne0; \
uint32_t i12 = fastdiv(rem, &ct->div_ne1_ne0); \
uint32_t rem2 = rem - i12 * ne1_ne0; \
uint32_t i11 = fastdiv(rem2, &ct->div_ne0); \
uint32_t i10 = rem2 - i11 * ne0; \
\
uint32_t i03 = fastdiv(e, &ct->div_ne02_ne01_ne00); \
uint32_t rem_s = e - i03 * ne02_ne01_ne00; \
uint32_t i02 = fastdiv(rem_s, &ct->div_ne01_ne00); \
uint32_t rem2_s = rem_s - i02 * ne01_ne00; \
uint32_t i01 = fastdiv(rem2_s, &ct->div_ne00); \
uint32_t i00 = rem2_s - i01 * ne00; \
\
char * dst_ptr = (char *) dst->data + i10*nb0 + i11*nb1 + i12*nb2 + i13*nb3; \
const char * src0_ptr = (const char *) src0->data + i00*nb00 + i01*nb01 + i02*nb02 + i03*nb03; \
\
for (; e < th_end; e++) { \
*((ELEM_TYPE *) dst_ptr) = *((const ELEM_TYPE *) src0_ptr); \
\
dst_ptr += nb0; \
if (++i10 == ne0) { \
i10 = 0; \
if (++i11 == ne1) { \
i11 = 0; \
if (++i12 == ne2) { \
i12 = 0; \
i13++; \
} \
} \
dst_ptr = (char *) dst->data + i11*nb1 + i12*nb2 + i13*nb3; \
} \
\
src0_ptr += nb00; \
if (++i00 == ne00) { \
i00 = 0; \
if (++i01 == ne01) { \
i01 = 0; \
if (++i02 == ne02) { \
i02 = 0; \
i03++; \
} \
} \
src0_ptr = (const char *) src0->data + i01*nb01 + i02*nb02 + i03*nb03; \
} \
} \
}
DEFINE_CPY_RESHAPE(f32, float, 4)
DEFINE_CPY_RESHAPE(f16, __fp16, 2)
static void cpy_thread_f16_f32_sameshape(unsigned int nth, unsigned int ith, void * data) {
struct htp_copy_context * ct = (struct htp_copy_context *) data;
struct htp_ops_context * octx = ct->octx;
cpy_preamble;
const uint32_t dr = ct->src0_nrows_per_thread;
const uint32_t ir0 = ct->row_start + dr * ith;
const uint32_t ir1 = MIN(ir0 + dr, ct->row_start + ct->nrows);
if (ir0 >= ir1) return;
const uint32_t ne02_ne01 = ne02 * ne01;
uint32_t i03 = fastdiv(ir0, &ct->div_ne02_ne01);
uint32_t rem = ir0 - i03 * ne02_ne01;
uint32_t i02 = fastdiv(rem, &ct->div_ne01);
uint32_t i01 = rem - i02 * ne01;
uint8_t* dst_ptr = (uint8_t*) dst->data + i01*nb1 + i02*nb2 + i03*nb3;
uint8_t* src0_ptr = (uint8_t*) src0->data + i01*nb01 + i02*nb02 + i03*nb03;
for (uint32_t r = ir0; r < ir1; r++) {
hex_l2fetch(src0_ptr, ne00 * sizeof(float), nb01, 2);
hvx_copy_f16_f32_uu(dst_ptr, src0_ptr, ne00);
dst_ptr += nb1;
src0_ptr += nb01;
if (++i01 == ne01) {
i01 = 0;
if (++i02 == ne02) {
i02 = 0;
i03++;
}
dst_ptr = (uint8_t*) dst->data + i02*nb2 + i03*nb3;
src0_ptr = (uint8_t*) src0->data + i02*nb02 + i03*nb03;
}
}
}
static void cpy_thread_f32_f16_sameshape(unsigned int nth, unsigned int ith, void * data) {
struct htp_copy_context * ct = (struct htp_copy_context *) data;
struct htp_ops_context * octx = ct->octx;
cpy_preamble;
const uint32_t dr = ct->src0_nrows_per_thread;
const uint32_t ir0 = ct->row_start + dr * ith;
const uint32_t ir1 = MIN(ir0 + dr, ct->row_start + ct->nrows);
if (ir0 >= ir1) return;
const uint32_t ne02_ne01 = ne02 * ne01;
uint32_t i03 = fastdiv(ir0, &ct->div_ne02_ne01);
uint32_t rem = ir0 - i03 * ne02_ne01;
uint32_t i02 = fastdiv(rem, &ct->div_ne01);
uint32_t i01 = rem - i02 * ne01;
uint8_t* dst_ptr = (uint8_t*) dst->data + i01*nb1 + i02*nb2 + i03*nb3;
uint8_t* src0_ptr = (uint8_t*) src0->data + i01*nb01 + i02*nb02 + i03*nb03;
for (uint32_t r = ir0; r < ir1; r++) {
hex_l2fetch(src0_ptr, ne00 * sizeof(__fp16), nb01, 2);
hvx_copy_f32_f16_uu(dst_ptr, src0_ptr, ne00);
dst_ptr += nb1;
src0_ptr += nb01;
if (++i01 == ne01) {
i01 = 0;
if (++i02 == ne02) {
i02 = 0;
i03++;
}
dst_ptr = (uint8_t*) dst->data + i02*nb2 + i03*nb3;
src0_ptr = (uint8_t*) src0->data + i02*nb02 + i03*nb03;
}
}
}
static inline void cpy_dma_sametype_sameshape(
struct htp_ops_context * octx,
const struct htp_tensor * dst,
const struct htp_tensor * src0,
uint32_t elem_size,
uint32_t ne00, uint32_t ne01, uint32_t ne02, uint32_t ne03,
uint32_t nb01, uint32_t nb02, uint32_t nb03,
uint32_t nb1, uint32_t nb2, uint32_t nb3
) {
const bool contiguous_outer =
(ne02 == 1 || (nb02 == ne01 * nb01 && nb2 == ne01 * nb1)) &&
(ne03 == 1 || (nb03 == ne02 * nb02 && nb3 == ne02 * nb2));
dma_queue * q = octx->ctx->dma[0];
if (contiguous_outer) {
if (!dma_queue_push(q, dma_make_ptr((void *) dst->data, (const void *) src0->data), nb1, nb01, ne00 * elem_size, ne01 * ne02 * ne03)) {
dma_queue_flush(q);
dma_queue_push(q, dma_make_ptr((void *) dst->data, (const void *) src0->data), nb1, nb01, ne00 * elem_size, ne01 * ne02 * ne03);
}
dma_queue_flush(q);
return;
}
for (uint32_t i03 = 0; i03 < ne03; i03++) {
for (uint32_t i02 = 0; i02 < ne02; i02++) {
uint8_t * dst_ptr = (uint8_t *) dst->data + i02 * nb2 + i03 * nb3;
uint8_t * src0_ptr = (uint8_t *) src0->data + i02 * nb02 + i03 * nb03;
if (!dma_queue_push(q, dma_make_ptr(dst_ptr, src0_ptr), nb1, nb01, ne00 * elem_size, ne01)) {
dma_queue_flush(q);
dma_queue_push(q, dma_make_ptr(dst_ptr, src0_ptr), nb1, nb01, ne00 * elem_size, ne01);
}
}
}
dma_queue_flush(q);
}
static int exec_cpy(struct htp_ops_context * octx, bool * use_dma) {
cpy_preamble;
*use_dma = false;
struct htp_copy_context ct;
ct.octx = octx;
switch (src0->type) {
case HTP_TYPE_F32: ct.src0_type_size = 4; ct.src0_block_size = 1; ct.src0_blocks_per_row = ne00 / 1; break;
case HTP_TYPE_F16: ct.src0_type_size = 2; ct.src0_block_size = 1; ct.src0_blocks_per_row = ne00 / 1; break;
default:
return HTP_STATUS_NO_SUPPORT;
}
switch (dst->type) {
case HTP_TYPE_F32: ct.dst_type_size = 4; ct.dst_block_size = 1; ct.dst_blocks_per_row = ne0 / 1; break;
case HTP_TYPE_F16: ct.dst_type_size = 2; ct.dst_block_size = 1; ct.dst_blocks_per_row = ne0 / 1; break;
default:
return HTP_STATUS_NO_SUPPORT;
}
if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
return HTP_STATUS_OK;
}
const bool sametype = (src0->type == dst->type);
const bool transposed = (nb00 > nb01) || (nb0 > nb1) ||
(nb00 != ct.src0_type_size) || (nb0 != ct.dst_type_size) ||
(nb01 < ne00 * ct.src0_type_size) || (nb1 < ne0 * ct.dst_type_size);
const bool sameshape = !transposed && (ne00 == ne0 && ne01 == ne1 && ne02 == ne2 && ne03 == ne3);
const uint32_t n_threads = octx->n_threads;
const bool dst_is_contiguous = htp_tensor_is_contiguous(dst, ct.dst_type_size);
if (sameshape) {
const uint32_t total_rows = ne01 * ne02 * ne03;
const uint32_t row_size = ne00 * ct.dst_type_size;
ct.div_ne01 = init_fastdiv_values(ne01);
ct.div_ne02_ne01 = init_fastdiv_values(ne02 * ne01);
uint32_t row_start = 0;
uint32_t nrows = total_rows;
if (octx->ctx->mdev.count > 1) {
const uint32_t rows_per_chunk = (row_size > 0) ? (HEX_L2_LINE_SIZE / hex_gcd_u32(row_size, HEX_L2_LINE_SIZE)) : 1;
const bool can_split = htp_tensor_mdev_data_aligned(dst) && dst_is_contiguous;
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(total_rows, can_split ? rows_per_chunk : 0, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
row_start = range.start;
nrows = range.count;
}
if (nrows == 0) {
return HTP_STATUS_OK;
}
ct.row_start = row_start;
ct.nrows = nrows;
ct.src0_nrows_per_thread = fastdiv(nrows + n_threads - 1, &octx->n_threads_div);
if (sametype && octx->ctx->mdev.count <= 1) {
*use_dma = true;
cpy_dma_sametype_sameshape(octx, dst, src0, ct.src0_type_size, ne00, ne01, ne02, ne03, nb01, nb02, nb03, nb1, nb2, nb3);
} else {
work_queue_func_t copy_fun = NULL;
if (sametype) {
copy_fun = (src0->type == HTP_TYPE_F32) ? cpy_thread_f32_sameshape : cpy_thread_f16_sameshape;
} else if (dst->type == HTP_TYPE_F16 && src0->type == HTP_TYPE_F32) {
copy_fun = cpy_thread_f16_f32_sameshape;
} else if (dst->type == HTP_TYPE_F32 && src0->type == HTP_TYPE_F16) {
copy_fun = cpy_thread_f32_f16_sameshape;
} else {
return HTP_STATUS_NO_SUPPORT;
}
work_queue_run(octx->ctx->work_queue, copy_fun, &ct, n_threads);
}
} else if (sametype) {
const uint32_t total_elems = ne0 * ne1 * ne2 * ne3;
const uint32_t elems_per_line = (ct.dst_type_size == 4) ? 32 : 64;
ct.div_ne0 = init_fastdiv_values(ne0);
ct.div_ne1_ne0 = init_fastdiv_values(ne1 * ne0);
ct.div_ne2_ne1_ne0 = init_fastdiv_values(ne2 * ne1 * ne0);
ct.div_ne00 = init_fastdiv_values(ne00);
ct.div_ne01_ne00 = init_fastdiv_values(ne01 * ne00);
ct.div_ne02_ne01_ne00 = init_fastdiv_values(ne02 * ne01 * ne00);
uint32_t elem_start = 0;
uint32_t nelem = total_elems;
if (octx->ctx->mdev.count > 1) {
const bool can_split = htp_tensor_mdev_data_aligned(dst) && dst_is_contiguous;
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(total_elems, can_split ? elems_per_line : 0, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
elem_start = range.start;
nelem = range.count;
}
if (nelem == 0) {
return HTP_STATUS_OK;
}
ct.elem_start = elem_start;
ct.nelem = nelem;
ct.elem_per_thread = fastdiv(nelem + n_threads - 1, &octx->n_threads_div);
work_queue_func_t copy_fun = (src0->type == HTP_TYPE_F32) ? cpy_thread_f32_reshape : cpy_thread_f16_reshape;
work_queue_run(octx->ctx->work_queue, copy_fun, &ct, n_threads);
} else {
return HTP_STATUS_NO_SUPPORT;
}
return HTP_STATUS_OK;
}
int op_cpy(struct htp_ops_context * octx) {
bool use_dma = false;
int status = exec_cpy(octx, &use_dma);
htp_ops_context_set_status(octx, status);
if (octx->op == HTP_OP_CPY_FENCE) {
if (!use_dma) {
htp_flush_dirty_ranges(octx->ctx);
}
htp_mdev_group_barrier(octx);
if (octx->ctx->mdev.idx == 0) {
const struct htp_tensor * sync = octx->src[1];
const uint32_t seq = (uint32_t) octx->op_params[0];
atomic_uint * sync_fence = (atomic_uint *) (uintptr_t) sync->data;
htp_fence_write(sync_fence, seq, octx->status);
FARF(HIGH, "ggml-hex: sync-release : fence %p seq 0x%x status %d\n", sync_fence, seq, octx->status);
}
}
return octx->status;
}

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@@ -0,0 +1,284 @@
#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <HAP_perf.h>
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "hex-common.h"
#include "hex-profile.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "htp-tensor.h"
#include "hvx-types.h"
#include "hvx-utils.h"
#include "hex-dma.h"
#define htp_cumsum_tensors_preamble \
const struct htp_tensor * restrict src0 = octx->src[0]; \
const struct htp_tensor * restrict dst = octx->dst; \
\
const uint32_t ne00 = src0->ne[0]; \
const uint32_t ne01 = src0->ne[1]; \
const uint32_t ne02 = src0->ne[2]; \
const uint32_t ne03 = src0->ne[3]; \
\
const uint32_t ne0 = dst->ne[0]; \
const uint32_t ne1 = dst->ne[1]; \
const uint32_t ne2 = dst->ne[2]; \
const uint32_t ne3 = dst->ne[3]; \
\
const uint32_t nb00 = src0->nb[0]; \
const uint32_t nb01 = src0->nb[1]; \
const uint32_t nb02 = src0->nb[2]; \
const uint32_t nb03 = src0->nb[3]; \
\
const uint32_t nb0 = dst->nb[0]; \
const uint32_t nb1 = dst->nb[1]; \
const uint32_t nb2 = dst->nb[2]; \
const uint32_t nb3 = dst->nb[3];
struct htp_cumsum_context {
struct htp_ops_context * octx;
size_t src_row_size;
size_t dst_row_size;
size_t src_row_size_aligned;
size_t dst_row_size_aligned;
uint32_t rows_per_thread;
uint32_t total_rows;
uint32_t row_start;
};
#define htp_cumsum_preamble \
struct htp_cumsum_context * cctx = (struct htp_cumsum_context *) data; \
struct htp_ops_context * octx = cctx->octx; \
htp_cumsum_tensors_preamble; \
dma_queue * dma_queue = octx->ctx->dma[ith];
// ---------------------------------------------------------------------------
// HVX prefix scan helpers
// ---------------------------------------------------------------------------
#if __HVX_ARCH__ > 75
static inline HVX_Vector hvx_cumsum_vadd(HVX_Vector a, HVX_Vector b) {
return Q6_Vsf_vadd_VsfVsf(a, b);
}
#else
static inline HVX_Vector hvx_cumsum_vadd(HVX_Vector a, HVX_Vector b) {
return Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(a, b));
}
#endif // __HVX_ARCH__ > 75
static inline HVX_Vector hvx_prefix_scan_f32(HVX_Vector v, HVX_Vector carry_in) {
const HVX_Vector zero = Q6_V_vsplat_R(0);
v = hvx_cumsum_vadd(v, Q6_V_vlalign_VVR(v, zero, 4));
v = hvx_cumsum_vadd(v, Q6_V_vlalign_VVR(v, zero, 8));
v = hvx_cumsum_vadd(v, Q6_V_vlalign_VVR(v, zero, 16));
v = hvx_cumsum_vadd(v, Q6_V_vlalign_VVR(v, zero, 32));
v = hvx_cumsum_vadd(v, Q6_V_vlalign_VVR(v, zero, 64));
v = hvx_cumsum_vadd(v, carry_in);
return v;
}
static inline HVX_Vector hvx_splat_last_f32(HVX_Vector v) {
return hvx_vec_repl4(Q6_V_vror_VR(v, 124));
}
static inline void hvx_cumsum_row_f32(const float * restrict src, float * restrict dst, uint32_t n) {
const uint32_t nvec = n / VLEN_FP32;
const uint32_t nloe = n % VLEN_FP32;
HVX_Vector carry = Q6_V_vsplat_R(0);
for (uint32_t i = 0; i < nvec; i++) {
HVX_Vector v = *((const HVX_UVector *) (src + i * VLEN_FP32));
v = hvx_prefix_scan_f32(v, carry);
hvx_vec_store_u(dst + i * VLEN_FP32, VLEN, v);
carry = hvx_splat_last_f32(v);
}
if (nloe) {
float acc = hvx_vec_get_f32(carry);
const float * src_tail = src + nvec * VLEN_FP32;
float * dst_tail = dst + nvec * VLEN_FP32;
for (uint32_t i = 0; i < nloe; i++) {
acc += src_tail[i];
dst_tail[i] = acc;
}
}
}
// ---------------------------------------------------------------------------
// Per thread worker: Double-buffered DMA
// ---------------------------------------------------------------------------
static void cumsum_thread_f32_dma(unsigned int nth, unsigned int ith, void * data) {
htp_cumsum_preamble;
const uint32_t ir0 = cctx->row_start + cctx->rows_per_thread * ith;
const uint32_t ir1 = MIN(ir0 + cctx->rows_per_thread, cctx->row_start + cctx->total_rows);
if (ir0 >= ir1) {
return;
}
const size_t src_row_size = cctx->src_row_size;
const size_t dst_row_size = cctx->dst_row_size;
const size_t src_row_size_aligned = cctx->src_row_size_aligned;
const size_t dst_row_size_aligned = cctx->dst_row_size_aligned;
const uint8_t * src_data = (const uint8_t *) src0->data;
uint8_t * dst_data = (uint8_t *) dst->data;
uint8_t * src_spad = octx->src0_spad.data + (ith * src_row_size_aligned * 2);
uint8_t * dst_spad = octx->dst_spad.data + (ith * dst_row_size_aligned * 2);
for (uint32_t ir = ir0, spad_idx = 0; ir < ir1 && spad_idx < 2; ir++, spad_idx++) {
// Dummy dst writeback to establish queue ordering
dma_queue_push_vtcm_to_ddr(dma_queue,
dma_make_ptr(dst_data, dst_spad + (spad_idx * dst_row_size_aligned)),
dst_row_size, dst_row_size_aligned, 0);
dma_queue_push_ddr_to_vtcm(dma_queue,
dma_make_ptr(src_spad + (spad_idx * src_row_size_aligned),
src_data + (ir * src_row_size)),
src_row_size_aligned, src_row_size, 1);
}
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
for (uint32_t ir = ir0; ir < ir1; ir++) {
float * dst_spad_row = (float *) dma_queue_pop(dma_queue).src;
float * src_spad_row = (float *) dma_queue_pop(dma_queue).dst;
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
hvx_cumsum_row_f32(src_spad_row, dst_spad_row, ne00);
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
dma_queue_push_vtcm_to_ddr(dma_queue,
dma_make_ptr(dst_data + (ir * dst_row_size), (uint8_t *) dst_spad_row),
dst_row_size, dst_row_size_aligned, 1);
const uint32_t next_row = ir + 2;
if (next_row < ir1) {
dma_queue_push_ddr_to_vtcm(dma_queue,
dma_make_ptr((uint8_t *) src_spad_row, src_data + (next_row * src_row_size)),
src_row_size_aligned, src_row_size, 1);
}
}
dma_queue_flush(dma_queue);
FARF(HIGH, "cumsum-f32-dma %d/%d: %ux%ux%ux%u (%u:%u) -> %ux%ux%ux%u\n",
ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], ir0, ir1,
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3]);
}
// ---------------------------------------------------------------------------
// Per thread worker: Direct HVX (no DMA)
// ---------------------------------------------------------------------------
static void cumsum_thread_f32(unsigned int nth, unsigned int ith, void * data) {
htp_cumsum_preamble;
const uint8_t * src_data = (const uint8_t *) src0->data;
uint8_t * dst_data = (uint8_t *) dst->data;
const uint32_t ir0 = cctx->row_start + cctx->rows_per_thread * ith;
const uint32_t ir1 = MIN(ir0 + cctx->rows_per_thread, cctx->row_start + cctx->total_rows);
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir0);
for (uint32_t ir = ir0; ir < ir1; ir++) {
const float * restrict src_row = (const float *) (src_data + ir * cctx->src_row_size);
float * restrict dst_row = (float *) (dst_data + ir * cctx->dst_row_size);
hvx_cumsum_row_f32(src_row, dst_row, ne00);
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir0);
FARF(HIGH, "cumsum-f32 %d/%d: %ux%ux%ux%u (%u:%u) -> %ux%ux%ux%u\n",
ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], ir0, ir1,
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3]);
}
int op_cumsum_f32(struct htp_ops_context * octx) {
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * dst = octx->dst;
if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
return HTP_STATUS_OK;
}
const uint32_t total_rows = src0->ne[1] * src0->ne[2] * src0->ne[3];
const size_t dst_data_row_size = dst->ne[0] * sizeof(float);
uint32_t row_start = 0;
uint32_t nrows = total_rows;
if (octx->ctx->mdev.count > 1) {
uint32_t rows_per_chunk = 0;
htp_tensor_mdev_rows_per_chunk(dst, sizeof(float), (uint32_t) dst_data_row_size, &rows_per_chunk);
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(total_rows, rows_per_chunk, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
row_start = range.start;
nrows = range.count;
}
if (nrows == 0) {
return HTP_STATUS_OK;
}
const uint32_t n_threads = octx->n_threads;
const size_t src_row_size = src0->nb[1];
const size_t dst_row_size = dst->nb[1];
const size_t src_row_size_aligned = hex_round_up(src_row_size, VLEN);
const size_t dst_row_size_aligned = hex_round_up(dst_row_size, VLEN);
// 2 ping-pong buffers per thread for src and dst
const size_t spad_per_thread = 2 * (src_row_size_aligned + dst_row_size_aligned);
octx->src0_spad.size_per_thread = src_row_size_aligned * 2;
octx->dst_spad.size_per_thread = dst_row_size_aligned * 2;
octx->src0_spad.size = n_threads * octx->src0_spad.size_per_thread;
octx->dst_spad.size = n_threads * octx->dst_spad.size_per_thread;
octx->src0_spad.data = octx->ctx->vtcm_base; octx->src0_spad.src = NULL;
octx->dst_spad.data = octx->src0_spad.data + octx->src0_spad.size; octx->dst_spad.src = NULL;
struct htp_cumsum_context cctx = {
.octx = octx,
.src_row_size = src_row_size,
.dst_row_size = dst_row_size,
.src_row_size_aligned = src_row_size_aligned,
.dst_row_size_aligned = dst_row_size_aligned,
.rows_per_thread = fastdiv(nrows + n_threads - 1, &octx->n_threads_div),
.total_rows = nrows,
.row_start = row_start,
};
if (octx->ctx->vtcm_size < spad_per_thread * n_threads) {
work_queue_run(octx->ctx->work_queue, cumsum_thread_f32, &cctx, n_threads);
} else {
work_queue_run(octx->ctx->work_queue, cumsum_thread_f32_dma, &cctx, n_threads);
}
return HTP_STATUS_OK;
}
int op_cumsum(struct htp_ops_context * octx) {
const struct htp_tensor * dst = octx->dst;
switch (dst->type) {
case HTP_TYPE_F32:
return op_cumsum_f32(octx);
default:
return HTP_STATUS_NO_SUPPORT;
}
}

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@@ -0,0 +1,247 @@
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <HAP_perf.h>
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "hex-common.h"
#include "hex-profile.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "htp-tensor.h"
#include "hvx-types.h"
#include "hex-utils.h"
#include "hvx-copy.h"
#include "hex-dma.h"
#define htp_diag_tensors_preamble \
const struct htp_tensor * restrict src0 = octx->src[0]; \
const struct htp_tensor * restrict dst = octx->dst; \
\
const uint32_t ne02 = src0->ne[2]; \
\
const uint32_t ne0 = dst->ne[0]; \
const uint32_t ne1 = dst->ne[1]; \
\
const uint32_t nb02 = src0->nb[2]; \
const uint32_t nb03 = src0->nb[3]; \
\
const uint32_t nb1 = dst->nb[1]; \
const uint32_t nb2 = dst->nb[2]; \
const uint32_t nb3 = dst->nb[3];
struct htp_diag_context {
struct htp_ops_context * octx;
size_t src_batch_size;
size_t dst_row_size;
size_t src_batch_size_aligned;
size_t dst_row_size_aligned;
uint32_t batches_per_thread;
uint32_t total_batches;
uint32_t batch_start;
};
#define htp_diag_preamble \
struct htp_diag_context * dctx = (struct htp_diag_context *) data; \
struct htp_ops_context * octx = dctx->octx; \
htp_diag_tensors_preamble;
static inline void hvx_diag_row_f32(const float * restrict src, float * restrict dst,
uint32_t row_idx, uint32_t n) {
hvx_splat_f32_a((uint8_t *) dst, 0.0f, n);
dst[row_idx] = src[row_idx];
}
// ---------------------------------------------------------------------------
// Per thread worker: DMA src fetch, compute in VTCM, DMA dst writeback
// ---------------------------------------------------------------------------
static void diag_thread_f32_dma(unsigned int nth, unsigned int ith, void * data) {
htp_diag_preamble;
dma_queue * dma_queue = octx->ctx->dma[ith];
const uint32_t ib0 = dctx->batch_start + dctx->batches_per_thread * ith;
const uint32_t ib1 = MIN(ib0 + dctx->batches_per_thread, dctx->batch_start + dctx->total_batches);
if (ib0 >= ib1) {
return;
}
const size_t src_batch_size = dctx->src_batch_size;
const size_t dst_row_size = dctx->dst_row_size;
const size_t src_batch_size_aligned = dctx->src_batch_size_aligned;
const size_t dst_row_size_aligned = dctx->dst_row_size_aligned;
const uint8_t * src_data = (const uint8_t *) src0->data;
uint8_t * dst_data = (uint8_t *) dst->data;
// 1 src buffer + 1 dst row buffer per thread in VTCM
uint8_t * src_spad = octx->src0_spad.data + (ith * src_batch_size_aligned);
uint8_t * dst_spad = octx->dst_spad.data + (ith * dst_row_size_aligned);
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
for (uint32_t ib = ib0; ib < ib1; ib++) {
const uint32_t i3 = ib / ne02;
const uint32_t i2 = ib % ne02;
const uint8_t * src_batch = src_data + i3 * nb03 + i2 * nb02;
// Fetch source vector into VTCM
dma_queue_push_ddr_to_vtcm(dma_queue,
dma_make_ptr(src_spad, src_batch),
src_batch_size_aligned, src_batch_size, 1);
dma_queue_flush(dma_queue);
const float * src_spad_f32 = (const float *) src_spad;
float * dst_spad_f32 = (float *) dst_spad;
for (uint32_t i1 = 0; i1 < ne1; i1++) {
// Compute row in VTCM
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) (ib * ne1 + i1));
hvx_diag_row_f32(src_spad_f32, dst_spad_f32, i1, ne0);
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) (ib * ne1 + i1));
// Write completed row back to DDR
uint8_t * dst_row = dst_data + i3 * nb3 + i2 * nb2 + i1 * nb1;
dma_queue_push_vtcm_to_ddr(dma_queue,
dma_make_ptr(dst_row, dst_spad),
dst_row_size, dst_row_size_aligned, 1);
dma_queue_flush(dma_queue);
}
}
FARF(HIGH, "diag-f32-dma %d/%d: %ux%ux%ux%u (%u:%u) -> %ux%ux%ux%u\n",
ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], ib0, ib1,
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3]);
}
// ---------------------------------------------------------------------------
// Per thread worker: Direct HVX (no DMA)
// ---------------------------------------------------------------------------
static void diag_thread_f32(unsigned int nth, unsigned int ith, void * data) {
htp_diag_preamble;
const uint8_t * src_data = (const uint8_t *) src0->data;
uint8_t * dst_data = (uint8_t *) dst->data;
const uint32_t ib0 = dctx->batch_start + dctx->batches_per_thread * ith;
const uint32_t ib1 = MIN(ib0 + dctx->batches_per_thread, dctx->batch_start + dctx->total_batches);
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ib0);
for (uint32_t ib = ib0; ib < ib1; ib++) {
const uint32_t i3 = ib / ne02;
const uint32_t i2 = ib % ne02;
const float * restrict src_batch = (const float *)(src_data + i3 * nb03 + i2 * nb02);
for (uint32_t i1 = 0; i1 < ne1; i1++) {
float * restrict dst_row = (float *)(dst_data + i3 * nb3 + i2 * nb2 + i1 * nb1);
hvx_diag_row_f32(src_batch, dst_row, i1, ne0);
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ib0);
FARF(HIGH, "diag-f32 %d/%d: %ux%ux%ux%u (%u:%u) -> %ux%ux%ux%u\n",
ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], ib0, ib1,
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3]);
}
int op_diag_f32(struct htp_ops_context * octx) {
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * dst = octx->dst;
if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
return HTP_STATUS_OK;
}
const uint32_t total_batches = src0->ne[2] * src0->ne[3];
const size_t dst_batch_size = dst->ne[1] * dst->nb[1];
uint32_t batch_start = 0;
uint32_t nbatches = total_batches;
if (octx->ctx->mdev.count > 1) {
bool can_split = htp_tensor_mdev_data_aligned(dst) && (dst->ne[0] == 1 || dst->nb[0] == sizeof(float)) && !htp_tensor_is_permuted(dst);
uint32_t batches_per_chunk = 1;
if (can_split) {
if (dst->ne[2] > 1 && (dst->nb[2] & (HTP_TENSOR_MDEV_LINE_SIZE - 1)) == 0 &&
(dst->ne[3] <= 1 || (dst->nb[3] & (HTP_TENSOR_MDEV_LINE_SIZE - 1)) == 0)) {
batches_per_chunk = 1;
} else if (dst->nb[2] == dst_batch_size &&
(dst->ne[3] <= 1 || dst->nb[3] == dst->nb[2] * dst->ne[2])) {
batches_per_chunk = (dst_batch_size > 0) ? (HEX_L2_LINE_SIZE / hex_gcd_u32(dst_batch_size, HEX_L2_LINE_SIZE)) : 1;
} else {
can_split = false;
}
}
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(total_batches, can_split ? batches_per_chunk : 0, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
batch_start = range.start;
nbatches = range.count;
}
if (nbatches == 0) {
return HTP_STATUS_OK;
}
const uint32_t n_threads = octx->n_threads;
const size_t src_batch_size = src0->ne[0] * sizeof(float);
const size_t dst_row_size = dst->ne[0] * sizeof(float);
const size_t src_batch_size_aligned = hex_round_up(src_batch_size, VLEN);
const size_t dst_row_size_aligned = hex_round_up(dst_row_size, VLEN);
// 1 src buffer + 1 dst row buffer per thread
const size_t spad_per_thread = src_batch_size_aligned + dst_row_size_aligned;
octx->src0_spad.size_per_thread = src_batch_size_aligned;
octx->dst_spad.size_per_thread = dst_row_size_aligned;
octx->src0_spad.size = n_threads * octx->src0_spad.size_per_thread;
octx->dst_spad.size = n_threads * octx->dst_spad.size_per_thread;
octx->src0_spad.data = octx->ctx->vtcm_base; octx->src0_spad.src = NULL;
octx->dst_spad.data = octx->src0_spad.data + octx->src0_spad.size; octx->dst_spad.src = NULL;
struct htp_diag_context dctx = {
.octx = octx,
.src_batch_size = src_batch_size,
.dst_row_size = dst_row_size,
.src_batch_size_aligned = src_batch_size_aligned,
.dst_row_size_aligned = dst_row_size_aligned,
.batches_per_thread = fastdiv(nbatches + n_threads - 1, &octx->n_threads_div),
.total_batches = nbatches,
.batch_start = batch_start,
};
if (octx->ctx->vtcm_size < spad_per_thread * n_threads) {
work_queue_run(octx->ctx->work_queue, diag_thread_f32, &dctx, n_threads);
} else {
work_queue_run(octx->ctx->work_queue, diag_thread_f32_dma, &dctx, n_threads);
}
return HTP_STATUS_OK;
}
int op_diag(struct htp_ops_context * octx) {
const struct htp_tensor * dst = octx->dst;
int err = HTP_STATUS_OK;
switch (dst->type) {
case HTP_TYPE_F32:
err = op_diag_f32(octx);
break;
default:
err = HTP_STATUS_NO_SUPPORT;
break;
}
return err;
}

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@@ -0,0 +1,104 @@
#include "dma-queue.h"
#include <stdbool.h>
#include <stdlib.h>
#include <string.h>
#pragma clang diagnostic ignored "-Wunused-function"
static inline uint32_t pow2_ceil(uint32_t x) {
if (x <= 1) {
return 1;
}
int p = 2;
x--;
while (x >>= 1) {
p <<= 1;
}
return p;
}
static inline uintptr_t align_up(uintptr_t addr, size_t align) {
return (addr + align - 1) & ~(align - 1);
}
size_t dma_queue_sizeof(size_t capacity) {
capacity = pow2_ceil(capacity);
size_t size_q = sizeof(dma_queue);
size_t offset_r = align_up(size_q, HEX_L2_LINE_SIZE);
size_t size_r = sizeof(dma_ring);
size_t offset_desc = align_up(offset_r + size_r, HEX_L2_LINE_SIZE);
size_t size_desc = capacity * sizeof(dma_descriptor_2d);
size_t offset_dptr = align_up(offset_desc + size_desc, HEX_L2_LINE_SIZE);
size_t size_dptr = capacity * sizeof(dma_ptr);
return offset_dptr + size_dptr;
}
size_t dma_queue_alignof(void) {
return HEX_L2_LINE_SIZE;
}
dma_queue_t dma_queue_init(void * ptr, size_t capacity, uintptr_t vtcm_base, size_t vtcm_size, struct htp_thread_trace * trace) {
capacity = pow2_ceil(capacity);
size_t size_q = sizeof(dma_queue);
size_t offset_r = align_up(size_q, HEX_L2_LINE_SIZE);
size_t size_r = sizeof(dma_ring);
size_t offset_desc = align_up(offset_r + size_r, HEX_L2_LINE_SIZE);
size_t size_desc = capacity * sizeof(dma_descriptor_2d);
size_t offset_dptr = align_up(offset_desc + size_desc, HEX_L2_LINE_SIZE);
size_t size_dptr = capacity * sizeof(dma_ptr);
size_t total_size = offset_dptr + size_dptr;
memset(ptr, 0, total_size);
dma_queue * q = (dma_queue *) ptr;
dma_ring * r = (dma_ring *) ((uintptr_t) ptr + offset_r);
q->ring = r;
q->nocache = 0;
q->alias = false;
r->trace = trace;
r->vtcm_base = vtcm_base;
r->vtcm_end = vtcm_base + vtcm_size;
r->capacity = capacity;
r->idx_mask = capacity - 1;
r->push_idx = 0;
r->pop_idx = 0;
r->desc = (dma_descriptor_2d *) ((uintptr_t) ptr + offset_desc);
r->dptr = (dma_ptr *) ((uintptr_t) ptr + offset_dptr);
r->tail = &r->desc[capacity - 1];
FARF(HIGH, "dma-queue: capacity %u, unified memory size %zu\n", capacity, total_size);
return q;
}
void dma_queue_free(dma_queue_t q) {
(void) q;
}
size_t dma_queue_alias_sizeof(void) {
return sizeof(dma_queue);
}
dma_queue_t dma_queue_alias_init(void * ptr, dma_queue_t main_q, uint8_t nocache) {
dma_queue * q = (dma_queue *) ptr;
memset(q, 0, sizeof(dma_queue));
q->ring = main_q->ring;
q->nocache = nocache;
q->alias = true;
return q;
}
void dma_queue_alias_free(dma_queue_t q) {
(void) q;
}

View File

@@ -0,0 +1,408 @@
#ifndef HTP_DMA_H
#define HTP_DMA_H
#include <HAP_farf.h>
#include <hexagon_types.h>
#include <stdbool.h>
#include <stdint.h>
#include "hex-utils.h"
#include "hex-profile.h"
#ifdef __cplusplus
extern "C" {
#endif
// Define the HW descriptor structs here since the ones in HexSDK are a bit out of date
typedef struct dma_descriptor_1d_s {
void * next;
uint32_t size:24;
uint32_t desc_size:2;
uint32_t dst_comp:1;
uint32_t src_comp:1;
uint32_t dst_bypass:1;
uint32_t src_bypass:1;
uint32_t order:1;
uint32_t done:1;
void * src;
void * dst;
} dma_descriptor_1d;
#if __HVX_ARCH__ < 75
typedef struct dma_descriptor_2d_s {
void * next;
uint32_t reserved0:24;
uint32_t desc_size:2;
uint32_t dst_comp:1;
uint32_t src_comp:1;
uint32_t dst_bypass:1;
uint32_t src_bypass:1;
uint32_t order:1;
uint32_t done:1;
void * src;
void * dst;
uint32_t desc_type:8;
uint32_t reserved1:24;
uint32_t row_size:16;
uint32_t nrows:16;
uint32_t src_stride:16;
uint32_t dst_stride:16;
uint32_t src_offset:16;
uint32_t dst_offset:16;
} dma_descriptor_2d;
#else
typedef struct dma_descriptor_2d_s {
void * next;
uint32_t dst_stride:24;
uint32_t desc_size:2;
uint32_t dst_comp:1;
uint32_t src_comp:1;
uint32_t dst_bypass:1;
uint32_t src_bypass:1;
uint32_t order:1;
uint32_t done:1;
void * src;
void * dst;
uint32_t desc_type:8;
uint32_t reserved0:24;
uint32_t row_size:24;
uint32_t nrows_lo:8;
uint32_t nrows_hi:8;
uint32_t src_stride:24;
uint32_t offset:24;
uint32_t reserved1:8;
} dma_descriptor_2d;
#endif
typedef struct {
void *dst;
const void *src;
} dma_ptr;
typedef struct dma_ring_s dma_ring;
struct dma_ring_s {
dma_descriptor_2d * desc; // descriptor pointers
dma_descriptor_2d * tail; // tail pointer
dma_ptr * dptr; // dst/src pointers
uint32_t push_idx;
uint32_t pop_idx;
uint32_t capacity;
uint32_t idx_mask;
struct htp_thread_trace * trace;
uintptr_t vtcm_base;
uintptr_t vtcm_end;
};
typedef struct dma_queue_s dma_queue;
typedef dma_queue * dma_queue_t;
struct dma_queue_s {
dma_ring * ring; // Points to the descriptor ring state
uint8_t nocache; // Queue-specific bypass flag
bool alias; // When set, dma_queue_delete will not free the ring
};
size_t dma_queue_sizeof(size_t capacity);
size_t dma_queue_alignof(void);
dma_queue_t dma_queue_init(void * ptr, size_t capacity, uintptr_t vtcm_base, size_t vtcm_size, struct htp_thread_trace * trace);
void dma_queue_free(dma_queue_t q);
size_t dma_queue_alias_sizeof(void);
dma_queue_t dma_queue_alias_init(void * ptr, dma_queue_t main_q, uint8_t nocache);
void dma_queue_alias_free(dma_queue_t q);
// TODO: technically we don't need these and could use Q6_dmstart/wait/etc instead
// but those do not seem to always compiler properly.
static inline void dmstart(void * next) {
asm volatile(" release(%0):at" : : "r"(next));
asm volatile(" dmstart(%0)" : : "r"(next));
}
static inline void dmlink(void * cur, void * next) {
asm volatile(" release(%0):at" : : "r"(next));
asm volatile(" dmlink(%0, %1)" : : "r"(cur), "r"(next));
}
static inline unsigned int dmpoll(void) {
unsigned int ret = 0;
asm volatile(" %0 = dmpoll" : "=r"(ret) : : "memory");
return ret;
}
static inline unsigned int dmwait(void) {
unsigned int ret = 0;
asm volatile(" %0 = dmwait" : "=r"(ret) : : "memory");
return ret;
}
static inline dma_ptr dma_make_ptr(void *dst, const void *src)
{
dma_ptr p = { dst, src };
return p;
}
static inline bool dma_is_vtcm(const dma_queue * q, const void * ptr) {
return (uintptr_t) ptr >= q->ring->vtcm_base && (uintptr_t) ptr < q->ring->vtcm_end;
}
static inline bool dma_queue_push_single_1d(dma_queue * q, dma_ptr dptr, size_t size) {
dma_ring * r = q->ring;
if (((r->push_idx + 1) & r->idx_mask) == r->pop_idx) {
return false;
}
dma_descriptor_1d * desc = (dma_descriptor_1d *) &r->desc[r->push_idx];
desc->src = (void *) dptr.src;
desc->dst = (void *) dptr.dst;
desc->size = size;
r->dptr[r->push_idx] = dptr;
htp_trace_event_start(r->trace, HTP_TRACE_EVT_DMA, r->push_idx);
if (size) {
desc->next = NULL;
desc->desc_size = 0; // 1D mode
desc->src_bypass = dma_is_vtcm(q, dptr.src) ? 1 : q->nocache;
desc->dst_bypass = dma_is_vtcm(q, dptr.dst) ? 1 : q->nocache;
desc->order = 0;
desc->done = 0;
dmlink(r->tail, desc);
r->tail = (dma_descriptor_2d *) desc;
} else {
desc->desc_size = 0;
desc->done = 1;
}
r->push_idx = (r->push_idx + 1) & r->idx_mask;
return true;
}
static inline bool dma_queue_push_single_2d(dma_queue * q, dma_ptr dptr, size_t dst_stride, size_t src_stride, size_t row_size, size_t nrows) {
dma_ring * r = q->ring;
if (((r->push_idx + 1) & r->idx_mask) == r->pop_idx) {
return false;
}
dma_descriptor_2d * desc = &r->desc[r->push_idx];
desc->next = NULL;
desc->reserved0 = 0;
desc->reserved1 = 0;
desc->desc_size = 1; // 2d mode
desc->src_bypass = dma_is_vtcm(q, dptr.src) ? 1 : q->nocache;
desc->dst_bypass = dma_is_vtcm(q, dptr.dst) ? 1 : q->nocache;
desc->src_comp = 0;
desc->dst_comp = 0;
desc->order = 0;
desc->done = 0;
desc->src_stride = src_stride;
desc->dst_stride = dst_stride;
desc->src = (void *) dptr.src;
desc->dst = (void *) dptr.dst;
desc->row_size = row_size;
#if __HVX_ARCH__ < 75
desc->desc_type = 0; // 2d (16-bit) mode
desc->nrows = nrows;
desc->src_offset = 0;
desc->dst_offset = 0;
#else
desc->desc_type = 9; // 2d (24-bit) mode
desc->nrows_lo = (nrows & 0xff);
desc->nrows_hi = (nrows >> 8);
desc->offset = 0;
#endif
r->dptr[r->push_idx] = dptr;
htp_trace_event_start(r->trace, HTP_TRACE_EVT_DMA, r->push_idx);
if (nrows) {
dmlink(r->tail, desc);
r->tail = desc;
} else {
desc->done = 1;
}
r->push_idx = (r->push_idx + 1) & r->idx_mask;
return true;
}
static inline dma_ptr dma_queue_pop(dma_queue * q) {
dma_ring * r = q->ring;
dma_ptr dptr = { NULL };
if (r->push_idx == r->pop_idx) {
return dptr;
}
dptr = r->dptr[r->pop_idx];
volatile dma_descriptor_2d * desc = &r->desc[r->pop_idx];
// Wait for desc to complete
if (!desc->done) {
// FARF(ALWAYS, "dma-poll: idx %u dst %p src %p", r->pop_idx, dptr.dst, dptr.src);
while (!desc->done) {
dmpoll();
}
}
htp_trace_event_stop(r->trace, HTP_TRACE_EVT_DMA, r->pop_idx);
r->pop_idx = (r->pop_idx + 1) & r->idx_mask;
return dptr;
}
static inline dma_ptr dma_queue_pop_nowait(dma_queue * q) {
dma_ring * r = q->ring;
dma_ptr dptr = { NULL };
if (r->push_idx == r->pop_idx) {
return dptr;
}
dptr = r->dptr[r->pop_idx];
htp_trace_event_stop(r->trace, HTP_TRACE_EVT_DMA, r->pop_idx);
r->pop_idx = (r->pop_idx + 1) & r->idx_mask;
return dptr;
}
static inline bool dma_queue_empty(dma_queue * q) {
return q->ring->push_idx == q->ring->pop_idx;
}
static inline void dma_queue_flush(dma_queue * q) {
while (dma_queue_pop(q).dst != NULL) ;
}
static inline uint32_t dma_queue_depth(dma_queue * q) {
return (q->ring->push_idx - q->ring->pop_idx) & q->ring->idx_mask;
}
static inline uint32_t dma_queue_capacity(dma_queue * q) {
return q->ring->capacity;
}
#if __HVX_ARCH__ < 75
// Overflow-safe DMA push: all 2d descriptor fields (row_size, nrows, src_stride, dst_stride) are 16-bit, max 65535.
// This version transparently handles values that exceed the 16-bit limit and submits chained DMA transtions.
#define DMA_MAX_FIELD_VAL 65535u
static inline bool dma_queue_push(dma_queue *q, dma_ptr dptr, size_t dst_stride, size_t src_stride, size_t row_size, size_t nrows) {
// Fast path: everything fits in 16 bits
if (nrows == 0 || __builtin_expect(
row_size <= DMA_MAX_FIELD_VAL &&
nrows <= DMA_MAX_FIELD_VAL &&
src_stride <= DMA_MAX_FIELD_VAL &&
dst_stride <= DMA_MAX_FIELD_VAL, 1)) {
return dma_queue_push_single_2d(q, dptr, dst_stride, src_stride, row_size, nrows);
}
// Contiguous block
// Use 1d DMA mode which supports sizes up to 24-bits (16MB)
if (nrows == 1 || (row_size == src_stride && row_size == dst_stride)) {
size_t total = row_size * nrows;
return dma_queue_push_single_1d(q, dptr, total);
}
// Stride overflow - fall back to row-by-row.
{
const uint8_t *src = (const uint8_t *) dptr.src;
uint8_t *dst = (uint8_t *) dptr.dst;
size_t r = 0;
while (r + 1 < nrows) {
dma_ptr p = dma_make_ptr(dst + r * dst_stride, src + r * src_stride);
if (!dma_queue_push_single_1d(q, p, row_size)) {
dma_queue_flush(q);
} else {
r++;
}
}
dma_queue_flush(q);
dma_ptr p = dma_make_ptr(dst + r * dst_stride, src + r * src_stride);
return dma_queue_push_single_1d(q, p, row_size);
}
}
#else // HVX_ARCH >= 75
static inline bool dma_queue_push(dma_queue *q, dma_ptr dptr, size_t dst_stride, size_t src_stride, size_t row_size, size_t nrows) {
// On v75 and up we always use 2d 24-bit mode
return dma_queue_push_single_2d(q, dptr, dst_stride, src_stride, row_size, nrows);
}
#endif
static inline bool dma_queue_push_ddr_to_vtcm(dma_queue * q, dma_ptr dptr, size_t dst_row_size, size_t src_row_size, size_t nrows) {
return dma_queue_push(q, dptr, dst_row_size, src_row_size, src_row_size, nrows);
}
static inline bool dma_queue_push_vtcm_to_ddr(dma_queue * q, dma_ptr dptr, size_t dst_row_size, size_t src_row_size, size_t nrows) {
return dma_queue_push(q, dptr, dst_row_size, src_row_size, dst_row_size, nrows);
}
#define DMA_CACHE_MAX_SIZE 256U
typedef struct {
uint8_t *base;
uint32_t line_size;
uint32_t capacity;
uint32_t src[DMA_CACHE_MAX_SIZE];
uint16_t age[DMA_CACHE_MAX_SIZE];
} dma_cache;
static inline void dma_cache_init(dma_cache *c, uint8_t *base, uint32_t line_size, uint32_t capacity)
{
c->capacity = (capacity > DMA_CACHE_MAX_SIZE) ? DMA_CACHE_MAX_SIZE : capacity;
c->base = base;
c->line_size = line_size;
for (unsigned i=0; i < c->capacity; i++) {
c->src[i] = 0;
c->age[i] = 0;
}
}
static inline bool dma_cache_push(dma_queue *q, dma_cache *c, const uint8_t * src, uint32_t dst_stride, uint32_t src_stride, uint32_t row_size, uint32_t nrows)
{
uint32_t o_idx = 0;
uint16_t o_age = 0;
uint8_t * dst = 0;
for (unsigned i=0; i < c->capacity; i++) {
if (c->src[i] == (uint32_t) src) {
c->age[i] = 0;
dst = c->base + (i * c->line_size); nrows = 0; // dummy dma
} else {
c->age[i]++;
if (c->age[i] > o_age) { o_age = c->age[i]; o_idx = i; }
}
}
if (!dst) {
c->age[o_idx] = 0;
c->src[o_idx] = (uint32_t) src;
dst = c->base + o_idx * c->line_size; // normal nrows dma
return dma_queue_push(q, dma_make_ptr(dst, src), dst_stride, src_stride, row_size, nrows);
}
return dma_queue_push_single_1d(q, dma_make_ptr(dst, src), 0);
}
#ifdef __cplusplus
} // extern "C"
#endif
#endif /* HTP_DMA_H */

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@@ -0,0 +1,146 @@
#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <string.h>
#include "hex-common.h"
#include "hex-profile.h"
#include "hvx-copy.h"
#include "hvx-utils.h"
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "htp-tensor.h"
// ggml op_params layout for FILL:
// op_params[0] (as float) - the scalar fill value
#define fill_preamble \
const struct htp_tensor * dst = octx->dst; \
\
const uint32_t ne0 = dst->ne[0]; \
const uint32_t ne1 = dst->ne[1]; \
const uint32_t ne2 = dst->ne[2]; \
const uint32_t ne3 = dst->ne[3]; \
\
const uint32_t nb1 = dst->nb[1]; \
const uint32_t nb2 = dst->nb[2]; \
const uint32_t nb3 = dst->nb[3]; \
\
const uint32_t nr = ne1 * ne2 * ne3;
struct htp_fill_context {
struct htp_ops_context * octx;
uint32_t nrows_per_thread;
uint32_t total_rows; // ne1 * ne2 * ne3
uint32_t row_start;
bool opt_path;
HVX_Vector splat_vec;
uint32_t elem_size;
};
static void fill_thread(unsigned int nth, unsigned int ith, void * data) {
const struct htp_fill_context * fctx = (const struct htp_fill_context *) data;
struct htp_ops_context * octx = fctx->octx;
fill_preamble;
// Parallelise over the flat row index spanning ne1*ne2*ne3
const uint32_t ir0 = fctx->row_start + fctx->nrows_per_thread * ith;
const uint32_t ir1 = MIN(ir0 + fctx->nrows_per_thread, fctx->row_start + fctx->total_rows);
if (ir0 >= ir1) {
return;
}
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir0);
if (fctx->opt_path) {
// Opt path: tensor is fully contiguous, treat as flat array
const uint32_t elem_start = ir0 * ne0;
const uint32_t elem_end = ir1 * ne0;
uint8_t * dst_ptr = (uint8_t *) dst->data + elem_start * fctx->elem_size;
hvx_splat_u(dst_ptr, fctx->splat_vec, elem_end - elem_start, fctx->elem_size);
} else {
// Non-contiguous path: must respect strides
for (uint32_t ir = ir0; ir < ir1; ++ir) {
const uint32_t i1 = ir % ne1;
const uint32_t i2 = (ir / ne1) % ne2;
const uint32_t i3 = ir / (ne1 * ne2);
uint8_t * dst_ptr = (uint8_t *) dst->data + i1*nb1 + i2*nb2 + i3*nb3;
hvx_splat_u(dst_ptr, fctx->splat_vec, ne0, fctx->elem_size);
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir1);
FARF(HIGH, "fill %u/%u: rows %u:%u\n", ith, nth, ir0, ir1);
}
int op_fill(struct htp_ops_context * octx) {
fill_preamble;
if (dst->type != HTP_TYPE_F32 && dst->type != HTP_TYPE_F16) {
return HTP_STATUS_NO_SUPPORT;
}
if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
return HTP_STATUS_OK;
}
uint32_t row_start = 0;
uint32_t nrows = nr;
if (octx->ctx->mdev.count > 1) {
const uint32_t row_size = nb1;
const uint32_t rows_per_chunk = (row_size > 0) ? (HEX_L2_LINE_SIZE / hex_gcd_u32(row_size, HEX_L2_LINE_SIZE)) : 1;
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(nr, htp_tensor_mdev_data_aligned(dst) ? rows_per_chunk : 0, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
row_start = range.start;
nrows = range.count;
}
if (nrows == 0) {
return HTP_STATUS_OK;
}
// nr = ne1*ne2*ne3 (flat row count across all outer dims); parallelise over it.
const uint32_t n_threads = octx->n_threads;
// Optimize if fully contiguous: skip stride arithmetic, treat as flat array
const bool opt_path = (nb2 == nb1 * ne1) && (nb3 == nb2 * ne2);
FARF(HIGH, "fill: (%ux%ux%ux%u) type=%u opt=%d\n",
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], dst->type, (int) opt_path);
float val_f32 = 0.f;
memcpy(&val_f32, &octx->op_params[0], sizeof(float));
struct htp_fill_context fctx = {
.octx = octx,
.nrows_per_thread = fastdiv(nrows + n_threads - 1, &octx->n_threads_div),
.total_rows = nrows,
.row_start = row_start,
.opt_path = opt_path,
};
switch (dst->type) {
case HTP_TYPE_F32:
fctx.splat_vec = hvx_vec_splat_f32(val_f32);
fctx.elem_size = sizeof(float);
break;
case HTP_TYPE_F16:
fctx.splat_vec = hvx_vec_splat_f16((_Float16) val_f32);
fctx.elem_size = sizeof(_Float16);
break;
default:
return HTP_STATUS_NO_SUPPORT;
}
work_queue_run(octx->ctx->work_queue, fill_thread, &fctx, n_threads);
return HTP_STATUS_OK;
}

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#ifndef HTP_FLASH_ATTN_OPS_H
#define HTP_FLASH_ATTN_OPS_H
#include <stdint.h>
#include <stddef.h>
#include <stdbool.h>
#include "hex-fastdiv.h"
#include "hex-common.h"
#include "htp-vtcm.h"
#ifdef __cplusplus
extern "C" {
#endif
// Tile constants (mirrored from hmx-utils.h for use on host side if needed)
#define HTP_FA_HMX_TILE_SIZE 2048
#define HMX_FP16_TILE_SIZE 2048
#define HMX_FP16_TILE_N_ROWS 32
#define HMX_FP16_TILE_N_COLS 32
#define HMX_FP16_TILE_N_ELMS 1024
#define HVX_FA_DMA_CACHE_SIZE 128
#define HMX_FA_DMA_CACHE_SIZE 4
#define HTP_FA_M_INITIAL_VAL -10000.0f
enum htp_fa_kernel_type {
HTP_FA_KERNEL_UNSUPPORTED = 0,
HTP_FA_KERNEL_HVX,
HTP_FA_KERNEL_HMX
};
struct htp_fa_kernel_params {
uint8_t kernel_type; // enum htp_fa_kernel_type
uint8_t is_q_fp32; // 1 = Q type is F32, 0 = F16
uint8_t is_dst_fp32; // 1 = dst type is F32, 0 = F16
uint8_t n_threads; // Number of threads to run
// Common parameters
uint16_t Br;
uint16_t Bc;
uint16_t n_kv_blocks; // also HVX's n_blocks
uint16_t G; // GQA factor (n_heads / n_kv_heads)
float scale;
float max_bias;
float logit_softcap;
uint32_t vtcm_size;
uint32_t qrows;
uint32_t qrows_per_thread;
uint32_t qrow_start;
float m0;
float m1;
uint32_t n_head_log2;
struct fastdiv_values src3_div2;
struct fastdiv_values src3_div3;
struct fastdiv_values broadcast_rk2;
struct fastdiv_values broadcast_rk3;
struct fastdiv_values broadcast_rv2;
struct fastdiv_values broadcast_rv3;
union {
struct {
uint32_t g_br;
uint32_t row_buf_stride;
uint32_t mask_buf_row_stride;
int32_t mask_broadcast;
int32_t pipeline;
struct fastdiv_values div_G;
} hmx;
struct {
uint32_t size_q_row_padded;
uint32_t size_k_row_padded;
uint32_t size_v_row_padded;
struct fastdiv_values src0_div21;
struct fastdiv_values src0_div1;
} hvx;
} u;
};
#if defined(__cplusplus)
static_assert(sizeof(struct htp_fa_kernel_params) <= 128, "htp_fa_kernel_params is too large for kernel_params blob");
#endif
// VTCM region layout for the HMX flash-attention kernel.
//
// Single source of truth for both the host (which needs the total size to pick a
// (Br, Bc) tiling that fits the VTCM budget) and the device (which needs the actual
// byte offsets to place each scratch buffer). Building the layout once and reading
// offsets/total from it makes host estimate and device allocation impossible to
// desync -- previously they were duplicated formulas in two files and drifted.
//
// All fields are byte offsets / byte sizes -- no HVX_Vector type is named here so the
// header stays host-includable. The device casts (base + off_*) to the proper type.
// An offset of 0 marks a region that is not allocated for this configuration (only
// off_v_tiles[1], which exists only when pipelining); the device sets such pointers NULL.
struct hmx_fa_vtcm_layout {
// Byte offsets from vtcm_base for each region.
size_t off_q_tiles;
size_t off_q_dma;
size_t off_o_tiles[2];
size_t off_k_fp16[2];
size_t off_v_fp16[2];
size_t off_k_tiles[2];
size_t off_v_tiles[2];
size_t off_s_tiles[2];
size_t off_p_tiles[2];
size_t off_d_tiles[2];
size_t off_d_inv_l;
size_t off_m_vec;
size_t off_l_vec;
size_t off_s_rowmax;
size_t off_p_rowsum;
size_t off_row_bufs;
size_t off_hmx_scales_id;
size_t off_hmx_scales_qk;
size_t off_mask_buf;
size_t off_slopes;
// Region byte sizes reused by the device at runtime (not just for allocation).
size_t q_tile_bytes;
size_t o_tile_bytes;
size_t s_tile_bytes; // S and P tiles (same size)
size_t d_tile_bytes; // d_tiles[0..1] + d_inv_l, allocated back to back
size_t m_line_bytes; // one mask row
size_t m_buf_slot_bytes; // one dma_cache slot = align_up(Br * m_line_bytes, 4096)
size_t col_vec_bytes;
// Derived strides.
size_t row_buf_stride; // HVX vectors (128B) per row buffer
size_t mask_buf_row_stride; // __fp16 elements per row in the mask buffer
bool pipeline;
size_t total_bytes;
};
// Build the VTCM layout.
static inline void hmx_fa_vtcm_layout_build(struct hmx_fa_vtcm_layout * L,
size_t gqa_factor, size_t DK, size_t DV,
size_t Br, size_t Bc, size_t n_threads, bool pipeline, bool is_q_fp32) {
const size_t g_br = hex_align_up(gqa_factor * Br, HMX_FP16_TILE_N_ROWS);
const size_t q_tile_size = hex_align_up(g_br * DK * sizeof(__fp16), HTP_FA_HMX_TILE_SIZE);
const size_t o_tile_size = hex_align_up(g_br * DV * sizeof(__fp16), HTP_FA_HMX_TILE_SIZE);
const size_t k_tile_size = hex_align_up(Bc * DK * sizeof(__fp16), HTP_FA_HMX_TILE_SIZE);
const size_t v_tile_size = hex_align_up(Bc * DV * sizeof(__fp16), HTP_FA_HMX_TILE_SIZE);
const size_t s_tile_size = hex_align_up(g_br * Bc * sizeof(__fp16), HTP_FA_HMX_TILE_SIZE);
// The rescale matrices are diagonal: the HMX kernels only ever load the g_br/32
// tiles that sit on the diagonal, so store just those, packed back to back with
// a stride of one tile. The old [g_br, g_br] square layout allocated g_br/32
// times more than it used, which is also why a second D buffer was unaffordable.
const size_t d_tile_size = (g_br / HMX_FP16_TILE_N_ROWS) * HTP_FA_HMX_TILE_SIZE;
const size_t q_dma_size = hex_align_up(g_br * DK * (is_q_fp32 ? sizeof(float) : sizeof(__fp16)), 128);
const size_t k_dma_size = hex_align_up(Bc * hex_round_up(DK * sizeof(__fp16), 128), 128);
const size_t v_dma_size = hex_align_up(Bc * hex_round_up(DV * sizeof(__fp16), 128), 128);
const size_t col_vec_size = hex_align_up(g_br * sizeof(float), 256);
const size_t row_vec_size = hex_align_up(Bc * sizeof(__fp16), 256);
const size_t m_line_size = hex_align_up(Bc * sizeof(__fp16), 128);
const size_t m_buf_slot = hex_align_up(Br * m_line_size, 256);
const size_t m_buf_size = m_buf_slot * HMX_FA_DMA_CACHE_SIZE;
const size_t slopes_size = hex_align_up(g_br * sizeof(__fp16), 128);
size_t off = 0;
// Group A (Part 1 - HMX Tiled buffers)
VTCM_LAYOUT_ALLOC(off, off_q_tiles, q_tile_size);
VTCM_LAYOUT_ALLOC(off, off_o_tiles[0], o_tile_size);
VTCM_LAYOUT_ALLOC(off, off_o_tiles[1], o_tile_size);
VTCM_LAYOUT_ALLOC(off, off_d_tiles[0], d_tile_size);
VTCM_LAYOUT_ALLOC_OPTIONAL(off, off_d_tiles[1], d_tile_size, pipeline);
VTCM_LAYOUT_ALLOC(off, off_d_inv_l, d_tile_size);
// Group B & C share start offset (Group B tiles must be 2KB aligned)
size_t off_group_b_c = hex_align_up(off, HTP_FA_HMX_TILE_SIZE);
// Group B: Compute-only buffers
size_t off_group_b = off_group_b_c;
VTCM_LAYOUT_ALLOC(off_group_b, off_k_tiles[0], k_tile_size);
VTCM_LAYOUT_ALLOC_OPTIONAL(off_group_b, off_k_tiles[1], k_tile_size, pipeline);
VTCM_LAYOUT_ALLOC(off_group_b, off_v_tiles[0], v_tile_size);
VTCM_LAYOUT_ALLOC_OPTIONAL(off_group_b, off_v_tiles[1], v_tile_size, pipeline);
VTCM_LAYOUT_ALLOC(off_group_b, off_s_tiles[0], s_tile_size);
VTCM_LAYOUT_ALLOC_OPTIONAL(off_group_b, off_s_tiles[1], s_tile_size, pipeline);
VTCM_LAYOUT_ALLOC(off_group_b, off_p_tiles[0], s_tile_size);
VTCM_LAYOUT_ALLOC_OPTIONAL(off_group_b, off_p_tiles[1], s_tile_size, pipeline);
VTCM_LAYOUT_ALLOC(off_group_b, off_s_rowmax, col_vec_size);
VTCM_LAYOUT_ALLOC(off_group_b, off_p_rowsum, col_vec_size);
VTCM_LAYOUT_ALLOC(off_group_b, off_row_bufs, row_vec_size * 2 * n_threads);
const size_t group_b_size = off_group_b - off_group_b_c;
// Group C: Q fetch DMA buffer
size_t off_group_c = off_group_b_c;
VTCM_LAYOUT_ALLOC(off_group_c, off_q_dma, q_dma_size);
const size_t group_c_size = off_group_c - off_group_b_c;
off = off_group_b_c + hex_smax(group_b_size, group_c_size);
// Group A (Part 2 - remaining non-HMX buffers)
VTCM_LAYOUT_ALLOC(off, off_k_fp16[0], k_dma_size);
VTCM_LAYOUT_ALLOC(off, off_k_fp16[1], k_dma_size);
VTCM_LAYOUT_ALLOC(off, off_v_fp16[0], v_dma_size);
VTCM_LAYOUT_ALLOC(off, off_v_fp16[1], v_dma_size);
VTCM_LAYOUT_ALLOC(off, off_m_vec, col_vec_size);
VTCM_LAYOUT_ALLOC(off, off_l_vec, col_vec_size);
VTCM_LAYOUT_ALLOC(off, off_hmx_scales_id, 256);
VTCM_LAYOUT_ALLOC(off, off_hmx_scales_qk, 256);
VTCM_LAYOUT_ALLOC(off, off_mask_buf, m_buf_size);
VTCM_LAYOUT_ALLOC(off, off_slopes, slopes_size);
L->q_tile_bytes = q_tile_size;
L->o_tile_bytes = o_tile_size;
L->col_vec_bytes = col_vec_size;
L->s_tile_bytes = s_tile_size;
// Measured from the actual offsets rather than assumed to be N * d_tile_size, so
// that inserting a region between them (or adding padding to VTCM_LAYOUT_ALLOC)
// cannot silently leave the tail of the run unzeroed.
L->d_tile_bytes = (L->off_d_inv_l + d_tile_size) - L->off_d_tiles[0];
L->m_line_bytes = m_line_size;
L->m_buf_slot_bytes = m_buf_slot;
L->row_buf_stride = row_vec_size / 128;
L->mask_buf_row_stride = m_line_size / sizeof(__fp16);
L->pipeline = pipeline;
L->total_bytes = off;
}
// Exact VTCM usage for a given (gqa_factor, DK, DV, Br, Bc) configuration.
static inline size_t hmx_fa_compute_vtcm_usage(size_t gqa_factor, size_t DK, size_t DV, size_t Br, size_t Bc, size_t n_threads, bool pipeline, bool is_q_fp32) {
struct hmx_fa_vtcm_layout L;
hmx_fa_vtcm_layout_build(&L, gqa_factor, DK, DV, Br, Bc, n_threads, pipeline, is_q_fp32);
return L.total_bytes;
}
#define FA_HVX_BLOCK_SIZE 64
static inline size_t hvx_fa_compute_vtcm_usage(size_t DK, size_t DV, bool is_q_fp32, bool has_mask, size_t n_threads) {
const size_t size_q_row_padded = hex_round_up(DK * (is_q_fp32 ? 4 : 2), 128);
const size_t size_k_row_padded = hex_round_up(DK * sizeof(__fp16), 128);
const size_t size_v_row_padded = hex_round_up(DV * sizeof(__fp16), 128);
const size_t size_q_block = size_q_row_padded * 1;
const size_t size_k_block = size_k_row_padded * FA_HVX_BLOCK_SIZE;
const size_t size_v_block = size_v_row_padded * FA_HVX_BLOCK_SIZE;
const size_t size_m_block = hex_round_up(FA_HVX_BLOCK_SIZE * sizeof(__fp16), 128);
const size_t size_vkq_acc = hex_round_up(DV * sizeof(float), 128);
const size_t size_per_thread = size_q_block * 1
+ size_k_block * 2
+ size_v_block * 2
+ (has_mask ? size_m_block * HVX_FA_DMA_CACHE_SIZE : 0)
+ size_vkq_acc;
return size_per_thread * n_threads;
}
#define FA_MIN_KV_BLOCKS 3
// Cost-based (Br, Bc) search for flash attention with pipeline constraint.
static inline int hmx_fa_find_chunk_size(size_t * Br_out,
size_t * Bc_out,
size_t gqa_factor,
size_t DK,
size_t DV,
size_t qo_len,
size_t kv_len,
size_t vtcm_budget,
size_t n_threads,
bool is_q_fp32) {
const size_t T = HMX_FP16_TILE_N_ROWS; // 32
const size_t br_unit = hmx_ceil_div(T, gqa_factor);
const size_t bc_unit = HMX_FP16_TILE_N_COLS * 2; // 64
const bool can_pipeline = (kv_len >= FA_MIN_KV_BLOCKS * bc_unit && n_threads >= 2);
// Br_max: largest Br aligned to br_unit that does not exceed qo_len.
const size_t Br_max = qo_len >= br_unit ? hex_align_down(qo_len, br_unit) : br_unit;
// Pipeline constraint: cap Bc so n_kv_blocks >= FA_MIN_KV_BLOCKS.
// Only relax when kv_len is too short to form enough blocks.
const size_t Bc_limit = can_pipeline ? hex_align_down(kv_len / FA_MIN_KV_BLOCKS, bc_unit) :
(kv_len >= bc_unit ? hex_align_down(kv_len, bc_unit) : bc_unit);
// Cost coefficients calibrated from profiling
const size_t c_q_fixed = 800; // per-Q-block: q_load + epilogue o_update + o_norm + o_store
const size_t c_iter_base = 200; // per-KV-iter base (HMX dot/update + DMA)
const size_t c_softmax = 600; // per 64-row vector chunk on HVX
size_t best_cost = SIZE_MAX, best_mn = 0;
size_t best_Br = 0, best_Bc = 0;
for (size_t Br = Br_max; Br >= br_unit; Br -= br_unit) {
// Try all Bc candidates from Bc_limit down to bc_unit
for (size_t Bc = Bc_limit; Bc >= bc_unit; Bc -= bc_unit) {
size_t vtcm_needed = hmx_fa_compute_vtcm_usage(gqa_factor, DK, DV, Br, Bc, n_threads, can_pipeline, is_q_fp32);
if (vtcm_needed <= vtcm_budget) {
// This Bc fits for this Br!
const size_t q_blocks = (qo_len + Br - 1) / Br;
const size_t kv_blocks = (kv_len + Bc - 1) / Bc;
const size_t actual_threads = (kv_blocks >= 3 && n_threads >= 2) ? n_threads : 1;
const size_t n_rows_g = Br * gqa_factor;
const size_t n_row_vec_cnt = (n_rows_g + 63) / 64;
const size_t n_use = n_row_vec_cnt < actual_threads ? n_row_vec_cnt : actual_threads;
const size_t vecs_per_t = n_use > 0 ? (n_row_vec_cnt + n_use - 1) / n_use : 1;
const size_t c_iter_actual = c_iter_base + c_softmax * vecs_per_t;
const size_t cost = q_blocks * (c_q_fixed + kv_blocks * c_iter_actual);
const size_t mn = Br * Bc;
if (cost < best_cost || (cost == best_cost && mn > best_mn)) {
best_cost = cost;
best_mn = mn;
best_Br = Br;
best_Bc = Bc;
}
// Since we iterate Bc from largest to smallest, this is the largest Bc that fits
// for this Br. We can break to the next Br.
break;
}
}
if (Br == br_unit) {
break;
}
}
if (best_Br == 0 || best_Bc == 0) {
return -1;
}
*Br_out = best_Br;
*Bc_out = best_Bc;
return 0;
}
#ifdef __cplusplus
}
#endif
#endif /* HTP_FLASH_ATTN_OPS_H */

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#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <HAP_perf.h>
#include <math.h>
#include <string.h>
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "hex-common.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "htp-tensor.h"
#include "hvx-utils.h"
#include "hvx-quant.h"
#include "get-rows-ops.h"
#include "work-queue.h"
struct get_rows_context {
struct htp_ops_context * octx;
const struct htp_get_rows_kernel_params * kparams;
struct htp_get_rows_vtcm_layout vtcm_layout;
uint8_t * vtcm_base;
uint32_t task_start;
uint32_t tasks;
uint32_t tasks_per_thread;
};
#define get_rows_preamble \
const uint32_t ne00 = octx->src[0]->ne[0]; \
const uint32_t ne01 = octx->src[0]->ne[1]; \
const uint32_t ne02 = octx->src[0]->ne[2]; \
const uint32_t ne03 = octx->src[0]->ne[3]; \
\
const uint32_t ne10 = octx->src[1]->ne[0]; \
const uint32_t ne11 = octx->src[1]->ne[1]; \
const uint32_t ne12 = octx->src[1]->ne[2]; \
const uint32_t ne13 = octx->src[1]->ne[3]; \
\
const uint32_t ne0 = octx->dst->ne[0]; \
const uint32_t ne1 = octx->dst->ne[1]; \
const uint32_t ne2 = octx->dst->ne[2]; \
const uint32_t ne3 = octx->dst->ne[3]; \
\
const uint32_t nb01 = octx->src[0]->nb[1]; \
const uint32_t nb02 = octx->src[0]->nb[2]; \
const uint32_t nb03 = octx->src[0]->nb[3]; \
\
const uint32_t nb10 = octx->src[1]->nb[0]; \
const uint32_t nb11 = octx->src[1]->nb[1]; \
const uint32_t nb12 = octx->src[1]->nb[2]; \
\
const uint32_t nb1 = octx->dst->nb[1]; \
const uint32_t nb2 = octx->dst->nb[2]; \
const uint32_t nb3 = octx->dst->nb[3]; \
\
const uint32_t nr = ne10 * ne11 * ne12;
#define GET_ROWS_THREAD_ST_FN(IDX_TYPE) \
static void get_rows_thread_st_##IDX_TYPE(unsigned int nth, unsigned int ith, void *data) { \
struct get_rows_context * grctx = (struct get_rows_context *)data; \
struct htp_ops_context * octx = grctx->octx; \
const struct htp_get_rows_kernel_params * kparams = grctx->kparams; \
get_rows_preamble; \
const uint32_t dr = grctx->tasks_per_thread; \
const uint32_t ir0 = grctx->task_start + dr * ith; \
if (ir0 >= grctx->task_start + grctx->tasks) { \
return; \
} \
const uint32_t ir1 = MIN(ir0 + dr, grctx->task_start + grctx->tasks); \
const uint32_t row_size_bytes = htp_tensor_get_row_size(octx->src[0]->type, ne00); \
dma_queue * dma_queue = octx->ctx->dma[ith]; \
for (uint32_t i = ir0; i < ir1; ++i) { \
const uint32_t i12 = fastdiv(i, &kparams->div_ne10_ne11); \
const uint32_t rem = i - i12 * ne11 * ne10; \
const uint32_t i11 = fastdiv(rem, &kparams->div_ne10); \
const uint32_t i10 = rem - i11 * ne10; \
const IDX_TYPE * src1_ptr = (const IDX_TYPE *)(octx->src[1]->data + i10*nb10 + i11*nb11 + i12*nb12); \
const uint32_t i01 = (uint32_t)*src1_ptr; \
assert(i01 < ne01); \
const uint32_t q02 = fastdiv(i11, &kparams->div_ne02); \
const uint32_t i02 = i11 - q02 * ne02; \
const uint32_t q03 = fastdiv(i12, &kparams->div_ne03); \
const uint32_t i03 = i12 - q03 * ne03; \
const uintptr_t src0_ptr = octx->src[0]->data + i01*nb01 + i02*nb02 + i03*nb03; \
const uintptr_t dst_ptr = octx->dst->data + i10*nb1 + i11*nb2 + i12*nb3; \
while (!dma_queue_push(dma_queue, dma_make_ptr((void *)dst_ptr, (const void *)src0_ptr), nb1, nb01, \
row_size_bytes, 1)) { \
dma_queue_pop(dma_queue); \
} \
} \
dma_queue_flush(dma_queue); \
}
GET_ROWS_THREAD_ST_FN(int32_t)
GET_ROWS_THREAD_ST_FN(int64_t)
#define GET_ROWS_THREAD_DT_FN(TYPE_NAME, SRC0_SIZE_EXPR, IDX_TYPE, COMPUTE_EXPR) \
static void get_rows_thread_##TYPE_NAME##_##IDX_TYPE(unsigned int nth, unsigned int ith, void *data) { \
struct get_rows_context * grctx = (struct get_rows_context *)data; \
struct htp_ops_context * octx = grctx->octx; \
const struct htp_get_rows_kernel_params * kparams = grctx->kparams; \
get_rows_preamble; \
struct htp_thread_trace * tr = &octx->ctx->trace[ith]; \
const uint32_t dr = grctx->tasks_per_thread; \
const uint32_t ir0 = grctx->task_start + dr * ith; \
if (ir0 >= grctx->task_start + grctx->tasks) { \
return; \
} \
const uint32_t ir1 = MIN(ir0 + dr, grctx->task_start + grctx->tasks); \
const uint32_t chunks_per_row = kparams->chunks_per_row; \
const uint32_t chunk_size = kparams->chunk_size; \
dma_queue * dma_queue = octx->ctx->dma[ith]; \
const struct htp_get_rows_vtcm_layout * vtcm_layout = &grctx->vtcm_layout; \
uint8_t * vtcm_src0 = grctx->vtcm_base + vtcm_layout->off_src0 + ith * vtcm_layout->src0_bytes_per_thread; \
uint8_t * vtcm_dst = grctx->vtcm_base + vtcm_layout->off_dst + ith * vtcm_layout->dst_bytes_per_thread; \
for (uint32_t step = 0, spad_idx = 0; step < ir1 - ir0 && spad_idx < 2; ++step, spad_idx++) { \
const uint32_t i = ir0 + step; \
const uint32_t row_idx = fastdiv(i, &kparams->div_chunks_per_row); \
const uint32_t chunk_idx = i - row_idx * chunks_per_row; \
const uint32_t i12 = fastdiv(row_idx, &kparams->div_ne10_ne11); \
const uint32_t rem = row_idx - i12 * ne11 * ne10; \
const uint32_t i11 = fastdiv(rem, &kparams->div_ne10); \
const uint32_t i10 = rem - i11 * ne10; \
const IDX_TYPE * src1_ptr = (const IDX_TYPE *)(octx->src[1]->data + i10*nb10 + i11*nb11 + i12*nb12); \
const uint32_t i01 = (uint32_t)*src1_ptr; \
assert(i01 < ne01); \
const uint32_t q02 = fastdiv(i11, &kparams->div_ne02); \
const uint32_t i02 = i11 - q02 * ne02; \
const uint32_t q03 = fastdiv(i12, &kparams->div_ne03); \
const uint32_t i03 = i12 - q03 * ne03; \
const uint32_t offset = chunk_idx * chunk_size; \
const uint32_t cur_elems = (offset < ne00) ? MIN(chunk_size, ne00 - offset) : 0; \
const uint32_t cur_src0_bytes = SRC0_SIZE_EXPR(cur_elems); \
const uint32_t cur_dst_bytes = cur_elems * sizeof(float); \
const uintptr_t src0_ptr = octx->src[0]->data + i01*nb01 + i02*nb02 + i03*nb03 + SRC0_SIZE_EXPR(offset); \
dma_queue_push(dma_queue, \
dma_make_ptr((void *)(uintptr_t)octx->dst->data, \
vtcm_dst + spad_idx * vtcm_layout->dst_spad_half_size), \
cur_dst_bytes, vtcm_layout->dst_spad_half_size, cur_dst_bytes, 0); \
dma_queue_push(dma_queue, \
dma_make_ptr((void *)(vtcm_src0 + spad_idx * vtcm_layout->src0_spad_half_size), \
(const void *)src0_ptr), \
vtcm_layout->src0_spad_half_size, cur_src0_bytes, cur_src0_bytes, 1); \
} \
for (uint32_t step = 0; step < ir1 - ir0; ++step) { \
const uint32_t i = ir0 + step; \
void * dst_spad = (void *) dma_queue_pop(dma_queue).src; \
void * src_spad = (void *) dma_queue_pop(dma_queue).dst; \
const uint32_t row_idx = fastdiv(i, &kparams->div_chunks_per_row); \
const uint32_t chunk_idx = i - row_idx * chunks_per_row; \
const uint32_t i12 = fastdiv(row_idx, &kparams->div_ne10_ne11); \
const uint32_t rem = row_idx - i12 * ne11 * ne10; \
const uint32_t i11 = fastdiv(rem, &kparams->div_ne10); \
const uint32_t i10 = rem - i11 * ne10; \
const uint32_t offset = chunk_idx * chunk_size; \
const uint32_t cur_elems = (offset < ne00) ? MIN(chunk_size, ne00 - offset) : 0; \
const uint32_t cur_dst_bytes = cur_elems * sizeof(float); \
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, i); \
COMPUTE_EXPR; \
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, i); \
const uintptr_t dst_ptr = octx->dst->data + i10*nb1 + i11*nb2 + i12*nb3 + offset * sizeof(float); \
dma_queue_push(dma_queue, \
dma_make_ptr((void *)dst_ptr, (const void *)dst_spad), \
cur_dst_bytes, vtcm_layout->dst_spad_half_size, cur_dst_bytes, 1); \
const uint32_t next_step = step + 2; \
if (next_step < ir1 - ir0) { \
const uint32_t pi = ir0 + next_step; \
const uint32_t prow_idx = fastdiv(pi, &kparams->div_chunks_per_row); \
const uint32_t pchunk_idx = pi - prow_idx * chunks_per_row; \
const uint32_t pi12 = fastdiv(prow_idx, &kparams->div_ne10_ne11); \
const uint32_t prem = prow_idx - pi12 * ne11 * ne10; \
const uint32_t pi11 = fastdiv(prem, &kparams->div_ne10); \
const uint32_t pi10 = prem - pi11 * ne10; \
const IDX_TYPE * psrc1_ptr = (const IDX_TYPE *)(octx->src[1]->data + pi10*nb10 + pi11*nb11 + pi12*nb12); \
const uint32_t pi01 = (uint32_t)*psrc1_ptr; \
assert(pi01 < ne01); \
const uint32_t pq02 = fastdiv(pi11, &kparams->div_ne02); \
const uint32_t pi02 = pi11 - pq02 * ne02; \
const uint32_t pq03 = fastdiv(pi12, &kparams->div_ne03); \
const uint32_t pi03 = pi12 - pq03 * ne03; \
const uint32_t poffset = pchunk_idx * chunk_size; \
const uint32_t pcur_elems = (poffset < ne00) ? MIN(chunk_size, ne00 - poffset) : 0; \
const uint32_t pcur_src0_bytes = SRC0_SIZE_EXPR(pcur_elems); \
const uintptr_t psrc0_ptr = \
octx->src[0]->data + pi01*nb01 + pi02*nb02 + pi03*nb03 + SRC0_SIZE_EXPR(poffset); \
dma_queue_push(dma_queue, \
dma_make_ptr((void *)src_spad, (const void *)psrc0_ptr), \
vtcm_layout->src0_spad_half_size, pcur_src0_bytes, pcur_src0_bytes, 1); \
} \
} \
dma_queue_flush(dma_queue); \
}
#define F32_BYTES(n) ((n) * sizeof(float))
#define F16_BYTES(n) ((n) * sizeof(__fp16))
#define Q8_0_BYTES(n) (((n) / 32) * sizeof(block_q8_0))
GET_ROWS_THREAD_DT_FN(f32, F32_BYTES, int32_t, { if (cur_elems > 0) hvx_copy_f32_uu((uint8_t *)dst_spad, (const uint8_t *)src_spad, cur_elems); })
GET_ROWS_THREAD_DT_FN(f32, F32_BYTES, int64_t, { if (cur_elems > 0) hvx_copy_f32_uu((uint8_t *)dst_spad, (const uint8_t *)src_spad, cur_elems); })
GET_ROWS_THREAD_DT_FN(f16, F16_BYTES, int32_t, { hvx_dequantize_row_f16_f32((float *)dst_spad, src_spad, ne00); })
GET_ROWS_THREAD_DT_FN(f16, F16_BYTES, int64_t, { hvx_dequantize_row_f16_f32((float *)dst_spad, src_spad, ne00); })
GET_ROWS_THREAD_DT_FN(q8_0, Q8_0_BYTES, int32_t, { hvx_dequantize_row_q8_0_f32((float *)dst_spad, src_spad, ne00); })
GET_ROWS_THREAD_DT_FN(q8_0, Q8_0_BYTES, int64_t, { hvx_dequantize_row_q8_0_f32((float *)dst_spad, src_spad, ne00); })
int op_get_rows(struct htp_ops_context * octx) {
const struct htp_get_rows_kernel_params * kparams = (const struct htp_get_rows_kernel_params *) octx->kernel_params;
if (octx->src[0]->type != HTP_TYPE_F32 &&
octx->src[0]->type != HTP_TYPE_F16 &&
octx->src[0]->type != HTP_TYPE_Q8_0) {
return HTP_STATUS_NO_SUPPORT;
}
if (octx->dst->type != HTP_TYPE_F32) {
return HTP_STATUS_NO_SUPPORT;
}
if (octx->src[1]->type != HTP_TYPE_I32 && octx->src[1]->type != HTP_TYPE_I64) {
return HTP_STATUS_NO_SUPPORT;
}
if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
return HTP_STATUS_OK;
}
const struct htp_tensor * dst = octx->dst;
const uint32_t total_tasks = kparams->total_tasks;
const size_t dst_row_size = htp_tensor_get_row_size(dst->type, dst->ne[0]);
uint32_t task_start = 0;
uint32_t tasks = total_tasks;
if (octx->ctx->mdev.count > 1) {
uint32_t tasks_per_chunk = 1;
htp_tensor_mdev_rows_per_chunk(dst, dst_row_size / dst->ne[0], (uint32_t) dst_row_size, &tasks_per_chunk);
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(total_tasks, tasks_per_chunk, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
task_start = range.start;
tasks = range.count;
}
if (tasks == 0) {
return HTP_STATUS_OK;
}
if (!htp_ops_context_set_n_threads(octx, (uint32_t) kparams->n_threads)) {
return HTP_STATUS_INVAL_PARAMS;
}
const uint32_t n_threads = octx->n_threads;
struct get_rows_context grctx;
grctx.octx = octx;
grctx.kparams = kparams;
grctx.vtcm_base = (uint8_t *)octx->ctx->vtcm_base;
grctx.task_start = task_start;
grctx.tasks = tasks;
grctx.tasks_per_thread = fastdiv(tasks + n_threads - 1, &octx->n_threads_div);
const uint32_t ne00 = octx->src[0]->ne[0];
htp_get_rows_vtcm_layout_build(&grctx.vtcm_layout, octx->src[0]->type, ne00, n_threads);
const bool is_i32 = (octx->src[1]->type == HTP_TYPE_I32);
work_queue_func_t q_func = NULL;
if (kparams->use_dma) {
q_func = (work_queue_func_t)(is_i32 ? get_rows_thread_st_int32_t : get_rows_thread_st_int64_t);
} else {
switch (octx->src[0]->type) {
case HTP_TYPE_F32: q_func = (work_queue_func_t)(is_i32 ? get_rows_thread_f32_int32_t : get_rows_thread_f32_int64_t); break;
case HTP_TYPE_F16: q_func = (work_queue_func_t)(is_i32 ? get_rows_thread_f16_int32_t : get_rows_thread_f16_int64_t); break;
case HTP_TYPE_Q8_0: q_func = (work_queue_func_t)(is_i32 ? get_rows_thread_q8_0_int32_t : get_rows_thread_q8_0_int64_t); break;
default: return HTP_STATUS_NO_SUPPORT;
}
}
FARF(HIGH, "get-rows: (%ux%ux%ux%u) x (%ux%ux%ux%u) -> (%ux%ux%ux%u) : src0-vtcm-size %zu dst-vtcm-size %zu use-dma %d n-threads %d\n",
octx->src[0]->ne[0], octx->src[0]->ne[1], octx->src[0]->ne[2], octx->src[0]->ne[3],
octx->src[1]->ne[0], octx->src[1]->ne[1], octx->src[1]->ne[2], octx->src[1]->ne[3],
octx->dst->ne[0], octx->dst->ne[1], octx->dst->ne[2], octx->dst->ne[3],
grctx.vtcm_layout.src0_bytes_per_thread * n_threads,
grctx.vtcm_layout.dst_bytes_per_thread * n_threads,
kparams->use_dma, n_threads);
work_queue_run(octx->ctx->work_queue, q_func, &grctx, n_threads);
return HTP_STATUS_OK;
}

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#ifndef HTP_GET_ROWS_OPS_H
#define HTP_GET_ROWS_OPS_H
#include "hex-fastdiv.h"
struct htp_get_rows_kernel_params {
int32_t n_threads;
int32_t use_dma;
int32_t chunks_per_row;
int32_t chunk_size;
int32_t total_tasks;
int32_t tasks_per_thread;
int32_t vtcm_size;
// Fastdiv helpers
struct fastdiv_values div_ne10;
struct fastdiv_values div_ne10_ne11;
struct fastdiv_values div_chunks_per_row;
struct fastdiv_values div_ne02;
struct fastdiv_values div_ne03;
};
struct htp_get_rows_vtcm_layout {
size_t total_bytes;
size_t off_src0;
size_t off_dst;
size_t src0_bytes_per_thread;
size_t dst_bytes_per_thread;
size_t src0_spad_half_size;
size_t dst_spad_half_size;
};
static inline void htp_get_rows_vtcm_layout_build(
struct htp_get_rows_vtcm_layout * vtcm_layout,
int type,
uint32_t ne00,
uint32_t n_threads) {
uint32_t src0_row_size = 0;
switch (type) {
case 0: // HTP_TYPE_F32
src0_row_size = ne00 * 4;
break;
case 1: // HTP_TYPE_F16
src0_row_size = ne00 * 2;
break;
case 8: // HTP_TYPE_Q8_0
src0_row_size = (ne00 / 32) * 34;
break;
default:
src0_row_size = 0;
break;
}
size_t src0_row_size_aligned = (src0_row_size + 255) & ~255;
size_t dst_row_size_aligned = (ne00 * sizeof(float) + 255) & ~255;
vtcm_layout->src0_spad_half_size = src0_row_size_aligned;
vtcm_layout->dst_spad_half_size = dst_row_size_aligned;
vtcm_layout->src0_bytes_per_thread = src0_row_size_aligned * 2;
vtcm_layout->dst_bytes_per_thread = dst_row_size_aligned * 2;
vtcm_layout->off_src0 = 0;
vtcm_layout->off_dst = vtcm_layout->off_src0 + vtcm_layout->src0_bytes_per_thread * n_threads;
vtcm_layout->total_bytes = vtcm_layout->off_dst + vtcm_layout->dst_bytes_per_thread * n_threads;
}
#if defined(__cplusplus)
static_assert(sizeof(struct htp_get_rows_kernel_params) <= 128, "htp_get_rows_kernel_params is too large for kernel_params blob");
#else
_Static_assert(sizeof(struct htp_get_rows_kernel_params) <= 128, "htp_get_rows_kernel_params is too large for kernel_params blob");
#endif
#endif // HTP_GET_ROWS_OPS_H

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#ifndef HEX_BITMAP_H
#define HEX_BITMAP_H
#include <stdint.h>
#include <stdbool.h>
#include <string.h>
static inline void bitmap_set(uint32_t * bitmap, uint32_t idx) {
bitmap[idx / 32] |= (1U << (idx % 32));
}
static inline void bitmap_clear(uint32_t * bitmap, uint32_t idx) {
bitmap[idx / 32] &= ~(1U << (idx % 32));
}
static inline bool bitmap_test(const uint32_t * bitmap, uint32_t idx) {
return (bitmap[idx / 32] & (1U << (idx % 32))) != 0;
}
static inline void bitmap_reset(uint32_t * bitmap, size_t size_in_bits) {
memset(bitmap, 0, ((size_in_bits + 31) / 32) * sizeof(uint32_t));
}
#endif // HEX_BITMAP_H

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#ifndef HEX_COMMON_H
#define HEX_COMMON_H
#include <stdint.h>
#include <stddef.h>
#include <stdbool.h>
#ifndef SIZE_MAX
#define SIZE_MAX ((size_t)-1)
#endif
#ifndef MAX
#define MAX(a, b) ((a) > (b) ? (a) : (b))
#endif
#ifndef MIN
#define MIN(a, b) ((a) < (b) ? (a) : (b))
#endif
static inline uint32_t hex_ceil_pow2(uint32_t x) {
if (x <= 1) { return 1; }
int p = 2;
x--;
while (x >>= 1) { p <<= 1; }
return p;
}
static inline size_t hmx_ceil_div(size_t num, size_t den) {
return (num + den - 1) / den;
}
static inline int32_t hex_is_aligned(const void * addr, uint32_t align) {
return ((size_t) addr & (align - 1)) == 0;
}
static inline size_t hex_align_up(size_t v, size_t align) {
return hmx_ceil_div(v, align) * align;
}
static inline size_t hex_align_down(size_t v, size_t align) {
return (v / align) * align;
}
static inline int32_t hex_is_one_chunk(void * addr, uint32_t n, uint32_t chunk_size) {
uint32_t left_off = (size_t) addr & (chunk_size - 1);
uint32_t right_off = left_off + n;
return right_off <= chunk_size;
}
static inline uint32_t hex_round_up(uint32_t n, uint32_t m) {
return m * ((n + m - 1) / m);
}
static inline size_t hex_smin(size_t a, size_t b) {
return a < b ? a : b;
}
static inline size_t hex_smax(size_t a, size_t b) {
return a > b ? a : b;
}
static inline void hex_swap_ptr(void ** p1, void ** p2) {
void * t = *p1;
*p1 = *p2;
*p2 = t;
}
static inline bool hex_mul_overflow(size_t a, size_t b, size_t *out) {
if (a != 0 && b > SIZE_MAX / a) return true;
*out = a * b;
return false;
}
static inline bool hex_add_overflow(size_t a, size_t b, size_t *out) {
if (a > SIZE_MAX - b) return true;
*out = a + b;
return false;
}
static inline uint32_t hex_gcd_u32(uint32_t a, uint32_t b) {
while (b != 0) {
uint32_t t = b;
b = a % b;
a = t;
}
return a;
}
#endif // HEX_COMMON_H

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#pragma once
#include "dma-queue.h"

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#ifndef HEX_DUMP_H
#define HEX_DUMP_H
#include <HAP_farf.h>
static inline void hex_dump_int8_line(char * pref, const int8_t * x, int n) {
char str[1024], *p = str, *p_end = str + sizeof(str);
p += snprintf(p, p_end - p, "%s: ", pref);
for (int i = 0; i < n && p < p_end; i++) {
p += snprintf(p, p_end - p, "%d, ", x[i]);
}
FARF(HIGH, "%s\n", str);
}
static inline void hex_dump_uint8_line(char * pref, const uint8_t * x, uint32_t n) {
char str[1024], *p = str, *p_end = str + sizeof(str);
p += snprintf(p, p_end - p, "%s: ", pref);
for (int i = 0; i < n && p < p_end; i++) {
p += snprintf(p, p_end - p, "%d, ", x[i]);
}
FARF(HIGH, "%s\n", str);
}
static inline void hex_dump_uint32_line(char * pref, const uint32_t * x, uint32_t n) {
char str[1024], *p = str, *p_end = str + sizeof(str);
p += snprintf(p, p_end - p, "%s: ", pref);
for (int i = 0; i < n; i++) {
p += snprintf(p, p_end - p, "%u, ", (unsigned int) x[i]);
}
FARF(HIGH, "%s\n", str);
}
static inline void hex_dump_int32_line(char * pref, const int32_t * x, uint32_t n) {
char str[1024], *p = str, *p_end = str + sizeof(str);
p += snprintf(p, p_end - p, "%s: ", pref);
for (int i = 0; i < n; i++) {
p += snprintf(p, p_end - p, "%d, ", (int) x[i]);
}
FARF(HIGH, "%s\n", str);
}
static inline void hex_dump_f16_line(char * pref, const __fp16 * x, uint32_t n) {
char str[1024], *p = str, *p_end = str + sizeof(str);
p += snprintf(p, p_end - p, "%s: ", pref);
for (int i = 0; i < n; i++) {
p += snprintf(p, p_end - p, "%.6f, ", (float) x[i]);
}
FARF(HIGH, "%s\n", str);
}
static inline void hex_dump_f32_line(char * pref, const float * x, uint32_t n) {
char str[1024], *p = str, *p_end = str + sizeof(str);
p += snprintf(p, p_end - p, "%s: ", pref);
for (int i = 0; i < n; i++) {
p += snprintf(p, p_end - p, "%.6f, ", x[i]);
}
FARF(HIGH, "%s\n", str);
}
static inline void hex_dump_f32(char * pref, const float * x, uint32_t n) {
uint32_t n0 = n / 16;
uint32_t n1 = n % 16;
uint32_t i = 0;
for (; i < n0; i++) {
hex_dump_f32_line(pref, x + (16 * i), 16);
}
if (n1) {
hex_dump_f32_line(pref, x + (16 * i), n1);
}
}
static inline void hex_dump_f16(char * pref, const __fp16 * x, uint32_t n) {
uint32_t n0 = n / 16;
uint32_t n1 = n % 16;
uint32_t i = 0;
for (; i < n0; i++) {
hex_dump_f16_line(pref, x + (16 * i), 16);
}
if (n1) {
hex_dump_f16_line(pref, x + (16 * i), n1);
}
}
#endif /* HEX_DUMP_H */

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#ifndef HEX_FASTDIV_H
#define HEX_FASTDIV_H
// See https://gmplib.org/~tege/divcnst-pldi94.pdf figure 4.1.
// Precompute mp (m' in the paper) and L such that division
// can be computed using a multiply (high 32b of 64b result)
// and a shift:
//
// n/d = (mulhi(n, mp) + n) >> L;
struct fastdiv_values {
uint32_t mp;
uint32_t l;
};
static inline struct fastdiv_values init_fastdiv_values(uint32_t d) {
struct fastdiv_values result = { 0, 0 };
// compute L = ceil(log2(d));
while (result.l < 32 && ((uint32_t) 1 << result.l) < d) {
++(result.l);
}
result.mp = (uint32_t) (((uint64_t) 1 << 32) * (((uint64_t) 1 << result.l) - d) / d + 1);
return result;
}
static inline uint32_t fastdiv(uint32_t n, const struct fastdiv_values * vals) {
// Compute high 32 bits of n * mp
const uint32_t hi = (uint32_t) (((uint64_t) n * vals->mp) >> 32); // mulhi(n, mp)
// add n, apply bit shift
return (hi + n) >> vals->l;
}
static inline uint32_t fastmodulo(uint32_t n, uint32_t d, const struct fastdiv_values * vals) {
return n - fastdiv(n, vals) * d;
}
#endif /* HEX_FASTDIV_H */

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#ifndef HEX_PROFILE_H
#define HEX_PROFILE_H
#include <stdbool.h>
#include <stdint.h>
#include <qurt.h>
#include "hex-utils.h"
#include "htp-ops.h"
#define HTP_TRACE_EVT_START 0
#define HTP_TRACE_EVT_STOP 1
#ifndef HEX_NUM_PMU_COUNTERS
#define HEX_NUM_PMU_COUNTERS 8
#endif
static inline void hex_get_pmu(uint32_t counters[]) {
#if __HVX_ARCH__ >= 79
asm volatile("%0 = upmucnt0" : "=r"(counters[0]));
asm volatile("%0 = upmucnt1" : "=r"(counters[1]));
asm volatile("%0 = upmucnt2" : "=r"(counters[2]));
asm volatile("%0 = upmucnt3" : "=r"(counters[3]));
asm volatile("%0 = upmucnt4" : "=r"(counters[4]));
asm volatile("%0 = upmucnt5" : "=r"(counters[5]));
asm volatile("%0 = upmucnt6" : "=r"(counters[6]));
asm volatile("%0 = upmucnt7" : "=r"(counters[7]));
#else
counters[0] = qurt_pmu_get(QURT_PMUCNT0);
counters[1] = qurt_pmu_get(QURT_PMUCNT1);
counters[2] = qurt_pmu_get(QURT_PMUCNT2);
counters[3] = qurt_pmu_get(QURT_PMUCNT3);
counters[4] = qurt_pmu_get(QURT_PMUCNT4);
counters[5] = qurt_pmu_get(QURT_PMUCNT5);
counters[6] = qurt_pmu_get(QURT_PMUCNT6);
counters[7] = qurt_pmu_get(QURT_PMUCNT7);
#endif
}
struct htp_thread_trace {
uint32_t count;
uint32_t max_events;
struct htp_trace_desc * events;
};
static inline void htp_trace_event(struct htp_thread_trace * tr, uint16_t id, uint16_t info, uint32_t type) {
if (tr->count < tr->max_events) {
uint32_t i = tr->count;
tr->events[i].id = id;
tr->events[i].info = info | (type == HTP_TRACE_EVT_STOP ? 0x8000 : 0);
tr->events[i].cycles = (uint32_t) hex_get_cycles();
tr->count++;
}
}
static inline void htp_trace_event_start(struct htp_thread_trace * tr, uint16_t id, uint16_t info) {
htp_trace_event(tr, id, info, HTP_TRACE_EVT_START);
}
static inline void htp_trace_event_stop(struct htp_thread_trace * tr, uint16_t id, uint16_t info) {
htp_trace_event(tr, id, info, HTP_TRACE_EVT_STOP);
}
#endif /* HEX_PROFILE_H */

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#ifndef HEX_UTILS_H
#define HEX_UTILS_H
#include <stdbool.h>
#include <stdint.h>
#include <qurt_memory.h>
#include <qurt.h>
#include "hexagon_types.h"
#include "hexagon_protos.h"
#include "hex-fastdiv.h"
#include "hex-dump.h"
#include "hex-common.h"
static inline uint64_t hex_get_cycles() {
uint64_t cycles = 0;
asm volatile(" %0 = c15:14\n" : "=r"(cycles));
return cycles;
}
static inline uint64_t hex_get_pktcnt() {
uint64_t pktcnt;
asm volatile(" %0 = c19:18\n" : "=r"(pktcnt));
return pktcnt;
}
static inline void hex_l2fetch(const void * p, uint32_t width, uint32_t stride, uint32_t height) {
const uint64_t control = Q6_P_combine_RR(stride, Q6_R_combine_RlRl(width, height));
Q6_l2fetch_AP((void *) p, control);
}
static inline void hex_l2fetch_block(const void * addr, size_t size) {
if (size == 0) return;
const uint32_t width = 16384; // 16KB rows
const uint32_t height = (size + width - 1) / width;
hex_l2fetch(addr, width, width, height);
}
#define HEX_L2_LINE_SIZE 128
#define HEX_L2_BLOCK_SIZE (HEX_L2_LINE_SIZE * 4) // flush granularity (lines per loop iteration)
#define HEX_L2_FLUSH_WQ_THRESHOLD (4 * 1024)
#define HEX_L2_FLUSH_ALL_THRESHOLD (4 * 1024 * 1024)
static inline void hex_l2flush(void * addr, size_t size) {
const uint32_t s = ((uint32_t) addr) & ~(HEX_L2_LINE_SIZE - 1);
const uint32_t e = (((uint32_t) addr) + size + HEX_L2_LINE_SIZE - 1) & ~(HEX_L2_LINE_SIZE - 1);
const uint32_t eb = s + ((e - s) & ~(HEX_L2_BLOCK_SIZE - 1));
for (uint32_t i = s; i < eb; i += HEX_L2_BLOCK_SIZE) {
Q6_dccleaninva_A((void *) (i + HEX_L2_LINE_SIZE * 0));
Q6_dccleaninva_A((void *) (i + HEX_L2_LINE_SIZE * 1));
Q6_dccleaninva_A((void *) (i + HEX_L2_LINE_SIZE * 2));
Q6_dccleaninva_A((void *) (i + HEX_L2_LINE_SIZE * 3));
}
for (uint32_t i = eb; i < e; i += HEX_L2_LINE_SIZE) {
Q6_dccleaninva_A((void *) i);
}
}
static inline void hex_pause() {
asm volatile(" pause(#255)\n");
}
#endif /* HEX_UTILS_H */

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#ifndef HMX_FA_KERNELS_H
#define HMX_FA_KERNELS_H
#include <stdint.h>
#include <stddef.h>
#include <stdbool.h>
#include "hvx-utils.h"
#include "hmx-utils.h"
#include "hex-fastdiv.h"
// HMX-specific parameters, offsets and inner kernels for Flash Attention
// Scatter offsets for diagonal tile: entry[2i] = i*136, entry[2i+1] = i*136+6
// 136 = 4 * 32 + 8 = byte offset to diagonal in a 32x32 fp16 interleaved tile
static const int16_t d_tile_scatter_offsets[64] __attribute__((aligned(128))) = {
0 * 136, 0 * 136 + 6,
1 * 136, 1 * 136 + 6,
2 * 136, 2 * 136 + 6,
3 * 136, 3 * 136 + 6,
4 * 136, 4 * 136 + 6,
5 * 136, 5 * 136 + 6,
6 * 136, 6 * 136 + 6,
7 * 136, 7 * 136 + 6,
8 * 136, 8 * 136 + 6,
9 * 136, 9 * 136 + 6,
10 * 136, 10 * 136 + 6,
11 * 136, 11 * 136 + 6,
12 * 136, 12 * 136 + 6,
13 * 136, 13 * 136 + 6,
14 * 136, 14 * 136 + 6,
15 * 136, 15 * 136 + 6,
0, 0,
0, 0,
0, 0,
0, 0,
0, 0,
0, 0,
0, 0,
0, 0,
0, 0,
0, 0,
0, 0,
0, 0,
0, 0,
0, 0,
0, 0,
0, 0,
};
// Inner HMX tile computation kernels
static void hmx_fa_qk_dot_tile(
const __fp16 * row_tiles,
const __fp16 * col_tiles,
__fp16 * out_tile,
size_t n_dot_tiles
) {
if (n_dot_tiles == 2) {
asm volatile(
HMX_LOAD_MPY_F16("%1", "%2", "%0")
HMX_LOAD_MPY_F16("%3", "%4", "%0")
:
: "r"(2047),
"r"(row_tiles + 0 * HMX_FP16_TILE_N_ELMS), "r"(col_tiles + 0 * HMX_FP16_TILE_N_ELMS),
"r"(row_tiles + 1 * HMX_FP16_TILE_N_ELMS), "r"(col_tiles + 1 * HMX_FP16_TILE_N_ELMS)
);
} else if (n_dot_tiles == 4) {
asm volatile(
HMX_LOAD_MPY_F16("%1", "%2", "%0")
HMX_LOAD_MPY_F16("%3", "%4", "%0")
HMX_LOAD_MPY_F16("%5", "%6", "%0")
HMX_LOAD_MPY_F16("%7", "%8", "%0")
:
: "r"(2047),
"r"(row_tiles + 0 * HMX_FP16_TILE_N_ELMS), "r"(col_tiles + 0 * HMX_FP16_TILE_N_ELMS),
"r"(row_tiles + 1 * HMX_FP16_TILE_N_ELMS), "r"(col_tiles + 1 * HMX_FP16_TILE_N_ELMS),
"r"(row_tiles + 2 * HMX_FP16_TILE_N_ELMS), "r"(col_tiles + 2 * HMX_FP16_TILE_N_ELMS),
"r"(row_tiles + 3 * HMX_FP16_TILE_N_ELMS), "r"(col_tiles + 3 * HMX_FP16_TILE_N_ELMS)
);
} else if (n_dot_tiles == 8) {
asm volatile(
HMX_LOAD_MPY_F16("%1", "%2", "%0")
HMX_LOAD_MPY_F16("%3", "%4", "%0")
HMX_LOAD_MPY_F16("%5", "%6", "%0")
HMX_LOAD_MPY_F16("%7", "%8", "%0")
HMX_LOAD_MPY_F16("%9", "%10", "%0")
HMX_LOAD_MPY_F16("%11", "%12", "%0")
HMX_LOAD_MPY_F16("%13", "%14", "%0")
HMX_LOAD_MPY_F16("%15", "%16", "%0")
:
: "r"(2047),
"r"(row_tiles + 0 * HMX_FP16_TILE_N_ELMS), "r"(col_tiles + 0 * HMX_FP16_TILE_N_ELMS),
"r"(row_tiles + 1 * HMX_FP16_TILE_N_ELMS), "r"(col_tiles + 1 * HMX_FP16_TILE_N_ELMS),
"r"(row_tiles + 2 * HMX_FP16_TILE_N_ELMS), "r"(col_tiles + 2 * HMX_FP16_TILE_N_ELMS),
"r"(row_tiles + 3 * HMX_FP16_TILE_N_ELMS), "r"(col_tiles + 3 * HMX_FP16_TILE_N_ELMS),
"r"(row_tiles + 4 * HMX_FP16_TILE_N_ELMS), "r"(col_tiles + 4 * HMX_FP16_TILE_N_ELMS),
"r"(row_tiles + 5 * HMX_FP16_TILE_N_ELMS), "r"(col_tiles + 5 * HMX_FP16_TILE_N_ELMS),
"r"(row_tiles + 6 * HMX_FP16_TILE_N_ELMS), "r"(col_tiles + 6 * HMX_FP16_TILE_N_ELMS),
"r"(row_tiles + 7 * HMX_FP16_TILE_N_ELMS), "r"(col_tiles + 7 * HMX_FP16_TILE_N_ELMS)
);
} else {
for (size_t k = 0; k < n_dot_tiles; ++k) {
asm volatile(
HMX_LOAD_MPY_F16("%1", "%2", "%0")
:
: "r"(2047), "r"(row_tiles), "r"(col_tiles)
);
row_tiles += HMX_FP16_TILE_N_ELMS;
col_tiles += HMX_FP16_TILE_N_ELMS;
}
}
asm volatile(
HMX_STORE_AFTER_F16("%0", "%1")
:
: "r"(out_tile), "r"(0)
: "memory"
);
}
static void hmx_fa_o_update_tile(
const __fp16 * d_diag,
const __fp16 * o_rc,
const __fp16 * p_tile_in,
const __fp16 * v_tile_in,
__fp16 * o_tile_out,
size_t n_col_tiles
) {
asm volatile(
HMX_LOAD_MPY_F16("%1", "%2", "%0")
:
: "r"(2047), "r"(d_diag), "r"(o_rc)
);
if (n_col_tiles == 2) {
asm volatile(
HMX_LOAD_MPY_F16("%1", "%2", "%0")
HMX_LOAD_MPY_F16("%3", "%4", "%0")
:
: "r"(2047),
"r"(p_tile_in + 0 * HMX_FP16_TILE_N_ELMS), "r"(v_tile_in + 0 * HMX_FP16_TILE_N_ELMS),
"r"(p_tile_in + 1 * HMX_FP16_TILE_N_ELMS), "r"(v_tile_in + 1 * HMX_FP16_TILE_N_ELMS)
);
} else if (n_col_tiles == 4) {
asm volatile(
HMX_LOAD_MPY_F16("%1", "%2", "%0")
HMX_LOAD_MPY_F16("%3", "%4", "%0")
HMX_LOAD_MPY_F16("%5", "%6", "%0")
HMX_LOAD_MPY_F16("%7", "%8", "%0")
:
: "r"(2047),
"r"(p_tile_in + 0 * HMX_FP16_TILE_N_ELMS), "r"(v_tile_in + 0 * HMX_FP16_TILE_N_ELMS),
"r"(p_tile_in + 1 * HMX_FP16_TILE_N_ELMS), "r"(v_tile_in + 1 * HMX_FP16_TILE_N_ELMS),
"r"(p_tile_in + 2 * HMX_FP16_TILE_N_ELMS), "r"(v_tile_in + 2 * HMX_FP16_TILE_N_ELMS),
"r"(p_tile_in + 3 * HMX_FP16_TILE_N_ELMS), "r"(v_tile_in + 3 * HMX_FP16_TILE_N_ELMS)
);
} else if (n_col_tiles == 8) {
asm volatile(
HMX_LOAD_MPY_F16("%1", "%2", "%0")
HMX_LOAD_MPY_F16("%3", "%4", "%0")
HMX_LOAD_MPY_F16("%5", "%6", "%0")
HMX_LOAD_MPY_F16("%7", "%8", "%0")
HMX_LOAD_MPY_F16("%9", "%10", "%0")
HMX_LOAD_MPY_F16("%11", "%12", "%0")
HMX_LOAD_MPY_F16("%13", "%14", "%0")
HMX_LOAD_MPY_F16("%15", "%16", "%0")
:
: "r"(2047),
"r"(p_tile_in + 0 * HMX_FP16_TILE_N_ELMS), "r"(v_tile_in + 0 * HMX_FP16_TILE_N_ELMS),
"r"(p_tile_in + 1 * HMX_FP16_TILE_N_ELMS), "r"(v_tile_in + 1 * HMX_FP16_TILE_N_ELMS),
"r"(p_tile_in + 2 * HMX_FP16_TILE_N_ELMS), "r"(v_tile_in + 2 * HMX_FP16_TILE_N_ELMS),
"r"(p_tile_in + 3 * HMX_FP16_TILE_N_ELMS), "r"(v_tile_in + 3 * HMX_FP16_TILE_N_ELMS),
"r"(p_tile_in + 4 * HMX_FP16_TILE_N_ELMS), "r"(v_tile_in + 4 * HMX_FP16_TILE_N_ELMS),
"r"(p_tile_in + 5 * HMX_FP16_TILE_N_ELMS), "r"(v_tile_in + 5 * HMX_FP16_TILE_N_ELMS),
"r"(p_tile_in + 6 * HMX_FP16_TILE_N_ELMS), "r"(v_tile_in + 6 * HMX_FP16_TILE_N_ELMS),
"r"(p_tile_in + 7 * HMX_FP16_TILE_N_ELMS), "r"(v_tile_in + 7 * HMX_FP16_TILE_N_ELMS)
);
} else {
for (size_t k = 0; k < n_col_tiles; ++k) {
asm volatile(
HMX_LOAD_MPY_F16("%1", "%2", "%0")
:
: "r"(2047), "r"(p_tile_in), "r"(v_tile_in)
);
p_tile_in += HMX_FP16_TILE_N_ELMS;
v_tile_in += HMX_FP16_TILE_N_ELMS;
}
}
asm volatile(
HMX_STORE_AFTER_F16("%0", "%1")
:
: "r"(o_tile_out), "r"(0)
: "memory"
);
}
static inline void hmx_fa_o_norm_tile(
const __fp16 * d_diag,
const __fp16 * o_rc,
__fp16 * o_out
) {
asm volatile(
HMX_LOAD_MPY_F16("%1", "%2", "%0")
:
: "r"(2047), "r"(d_diag), "r"(o_rc)
);
asm volatile(
HMX_STORE_AFTER_F16("%0", "%1")
:
: "r"(o_out), "r"(0)
: "memory"
);
}
static inline void hmx_fa_q_prep_fp32_d2(
__fp16 * vtcm_q_tiles, const uint8_t * temp_q_vtcm,
size_t start, size_t end, size_t g_rows_end,
size_t DK, size_t G, size_t n_rows_q,
const struct fastdiv_values * div_G, bool q_transposed
) {
for (size_t r = start; r < end; r += 2) {
size_t r0 = r / HMX_FP16_TILE_N_ROWS;
size_t r1 = r % HMX_FP16_TILE_N_ROWS;
__fp16 * out_base = vtcm_q_tiles + r0 * HMX_FP16_TILE_N_ROWS * DK;
if (r >= g_rows_end) {
((HVX_Vector *) (out_base + 0 * HMX_FP16_TILE_N_ELMS))[r1 / 2] = Q6_V_vzero();
((HVX_Vector *) (out_base + 1 * HMX_FP16_TILE_N_ELMS))[r1 / 2] = Q6_V_vzero();
continue;
}
const size_t q_idx0 = fastdiv(r + 0, div_G);
const size_t h_idx0 = fastmodulo(r + 0, G, div_G);
const size_t q_idx1 = fastdiv(r + 1, div_G);
const size_t h_idx1 = fastmodulo(r + 1, G, div_G);
const size_t offset0 = q_transposed ? (h_idx0 * n_rows_q + q_idx0) : (q_idx0 * G + h_idx0);
const size_t offset1 = q_transposed ? (h_idx1 * n_rows_q + q_idx1) : (q_idx1 * G + h_idx1);
const HVX_Vector * pv_in0 = (const HVX_Vector *) (temp_q_vtcm + offset0 * DK * sizeof(float));
const HVX_Vector * pv_in1 = (r + 1 < g_rows_end)
? (const HVX_Vector *) (temp_q_vtcm + offset1 * DK * sizeof(float))
: NULL;
{
HVX_Vector v0 = pv_in0[0];
HVX_Vector v1 = pv_in1 ? pv_in1[0] : Q6_V_vzero();
HVX_Vector v_hf = hvx_vec_f32_to_f16_shuff(v0, v1);
((HVX_Vector *) (out_base + 0 * HMX_FP16_TILE_N_ELMS))[r1 / 2] = v_hf;
}
{
HVX_Vector v0 = pv_in0[1];
HVX_Vector v1 = pv_in1 ? pv_in1[1] : Q6_V_vzero();
HVX_Vector v_hf = hvx_vec_f32_to_f16_shuff(v0, v1);
((HVX_Vector *) (out_base + 1 * HMX_FP16_TILE_N_ELMS))[r1 / 2] = v_hf;
}
}
}
static inline void hmx_fa_q_prep_fp32_d4(
__fp16 * vtcm_q_tiles, const uint8_t * temp_q_vtcm,
size_t start, size_t end, size_t g_rows_end,
size_t DK, size_t G, size_t n_rows_q,
const struct fastdiv_values * div_G, bool q_transposed
) {
for (size_t r = start; r < end; r += 2) {
size_t r0 = r / HMX_FP16_TILE_N_ROWS;
size_t r1 = r % HMX_FP16_TILE_N_ROWS;
__fp16 * out_base = vtcm_q_tiles + r0 * HMX_FP16_TILE_N_ROWS * DK;
if (r >= g_rows_end) {
for (uint32_t d = 0; d < 4; ++d) {
((HVX_Vector *) (out_base + d * HMX_FP16_TILE_N_ELMS))[r1 / 2] = Q6_V_vzero();
}
continue;
}
const size_t q_idx0 = fastdiv(r + 0, div_G);
const size_t h_idx0 = fastmodulo(r + 0, G, div_G);
const size_t q_idx1 = fastdiv(r + 1, div_G);
const size_t h_idx1 = fastmodulo(r + 1, G, div_G);
const size_t offset0 = q_transposed ? (h_idx0 * n_rows_q + q_idx0) : (q_idx0 * G + h_idx0);
const size_t offset1 = q_transposed ? (h_idx1 * n_rows_q + q_idx1) : (q_idx1 * G + h_idx1);
const HVX_Vector * pv_in0 = (const HVX_Vector *) (temp_q_vtcm + offset0 * DK * sizeof(float));
const HVX_Vector * pv_in1 = (r + 1 < g_rows_end)
? (const HVX_Vector *) (temp_q_vtcm + offset1 * DK * sizeof(float))
: NULL;
for (uint32_t d = 0; d < 4; ++d) {
HVX_Vector v0 = pv_in0[d];
HVX_Vector v1 = pv_in1 ? pv_in1[d] : Q6_V_vzero();
HVX_Vector v_hf = hvx_vec_f32_to_f16_shuff(v0, v1);
((HVX_Vector *) (out_base + d * HMX_FP16_TILE_N_ELMS))[r1 / 2] = v_hf;
}
}
}
static inline void hmx_fa_q_prep_fp32(
__fp16 * vtcm_q_tiles, const uint8_t * temp_q_vtcm,
size_t start, size_t end, size_t g_rows_end,
size_t DK, size_t G, size_t n_rows_q,
const struct fastdiv_values * div_G, uint32_t d_limit, bool q_transposed
) {
for (size_t r = start; r < end; r += 2) {
size_t r0 = r / HMX_FP16_TILE_N_ROWS;
size_t r1 = r % HMX_FP16_TILE_N_ROWS;
__fp16 * out_base = vtcm_q_tiles + r0 * HMX_FP16_TILE_N_ROWS * DK;
if (r >= g_rows_end) {
for (uint32_t d = 0; d < d_limit; ++d) {
((HVX_Vector *) (out_base + d * HMX_FP16_TILE_N_ELMS))[r1 / 2] = Q6_V_vzero();
}
continue;
}
const size_t q_idx0 = fastdiv(r + 0, div_G);
const size_t h_idx0 = fastmodulo(r + 0, G, div_G);
const size_t q_idx1 = fastdiv(r + 1, div_G);
const size_t h_idx1 = fastmodulo(r + 1, G, div_G);
const size_t offset0 = q_transposed ? (h_idx0 * n_rows_q + q_idx0) : (q_idx0 * G + h_idx0);
const size_t offset1 = q_transposed ? (h_idx1 * n_rows_q + q_idx1) : (q_idx1 * G + h_idx1);
const HVX_Vector * pv_in0 = (const HVX_Vector *) (temp_q_vtcm + offset0 * DK * sizeof(float));
const HVX_Vector * pv_in1 = (r + 1 < g_rows_end)
? (const HVX_Vector *) (temp_q_vtcm + offset1 * DK * sizeof(float))
: NULL;
for (uint32_t d = 0; d < d_limit; ++d) {
HVX_Vector v0 = pv_in0[d];
HVX_Vector v1 = pv_in1 ? pv_in1[d] : Q6_V_vzero();
HVX_Vector v_hf = hvx_vec_f32_to_f16_shuff(v0, v1);
HVX_Vector * out_tile = (HVX_Vector *) (out_base + d * HMX_FP16_TILE_N_ELMS);
out_tile[r1 / 2] = v_hf;
}
}
}
static inline void hmx_fa_q_prep_fp16_d1(
__fp16 * vtcm_q_tiles, const uint8_t * temp_q_vtcm,
size_t start, size_t end, size_t g_rows_end,
size_t DK, size_t G, size_t n_rows_q,
const struct fastdiv_values * div_G, bool q_transposed
) {
for (size_t r = start; r < end; r += 2) {
size_t r0 = r / HMX_FP16_TILE_N_ROWS;
size_t r1 = r % HMX_FP16_TILE_N_ROWS;
__fp16 * out_base = vtcm_q_tiles + r0 * HMX_FP16_TILE_N_ROWS * DK;
if (r >= g_rows_end) {
__fp16 * out_dtile = out_base + 0 * HMX_FP16_TILE_N_ELMS * 2;
HVX_Vector * pv_out0 = ((HVX_Vector *) out_dtile) + r1 / 2;
HVX_Vector * pv_out1 = pv_out0 + 16;
*pv_out0 = Q6_V_vzero();
*pv_out1 = Q6_V_vzero();
continue;
}
const size_t q_idx0 = fastdiv(r + 0, div_G);
const size_t h_idx0 = fastmodulo(r + 0, G, div_G);
const size_t q_idx1 = fastdiv(r + 1, div_G);
const size_t h_idx1 = fastmodulo(r + 1, G, div_G);
const size_t offset0 = q_transposed ? (h_idx0 * n_rows_q + q_idx0) : (q_idx0 * G + h_idx0);
const size_t offset1 = q_transposed ? (h_idx1 * n_rows_q + q_idx1) : (q_idx1 * G + h_idx1);
const HVX_Vector * pv_in0 = (const HVX_Vector *) (temp_q_vtcm + offset0 * DK * sizeof(__fp16));
const HVX_Vector * pv_in1 = (r + 1 < g_rows_end)
? (const HVX_Vector *) (temp_q_vtcm + offset1 * DK * sizeof(__fp16))
: NULL;
HVX_Vector v0 = pv_in0[0];
HVX_Vector v1 = pv_in1 ? pv_in1[0] : Q6_V_vzero();
HVX_VectorPair vp = Q6_W_vshuff_VVR(v1, v0, -2);
__fp16 * out_dtile = out_base + 0 * HMX_FP16_TILE_N_ELMS * 2;
HVX_Vector * pv_out0 = ((HVX_Vector *) out_dtile) + r1 / 2;
HVX_Vector * pv_out1 = pv_out0 + 16;
*pv_out0 = Q6_V_lo_W(vp);
*pv_out1 = Q6_V_hi_W(vp);
}
}
static inline void hmx_fa_q_prep_fp16_d2(
__fp16 * vtcm_q_tiles, const uint8_t * temp_q_vtcm,
size_t start, size_t end, size_t g_rows_end,
size_t DK, size_t G, size_t n_rows_q,
const struct fastdiv_values * div_G, bool q_transposed
) {
for (size_t r = start; r < end; r += 2) {
size_t r0 = r / HMX_FP16_TILE_N_ROWS;
size_t r1 = r % HMX_FP16_TILE_N_ROWS;
__fp16 * out_base = vtcm_q_tiles + r0 * HMX_FP16_TILE_N_ROWS * DK;
if (r >= g_rows_end) {
for (uint32_t d = 0; d < 2; ++d) {
__fp16 * out_dtile = out_base + d * HMX_FP16_TILE_N_ELMS * 2;
HVX_Vector * pv_out0 = ((HVX_Vector *) out_dtile) + r1 / 2;
HVX_Vector * pv_out1 = pv_out0 + 16;
*pv_out0 = Q6_V_vzero();
*pv_out1 = Q6_V_vzero();
}
continue;
}
const size_t q_idx0 = fastdiv(r + 0, div_G);
const size_t h_idx0 = fastmodulo(r + 0, G, div_G);
const size_t q_idx1 = fastdiv(r + 1, div_G);
const size_t h_idx1 = fastmodulo(r + 1, G, div_G);
const size_t offset0 = q_transposed ? (h_idx0 * n_rows_q + q_idx0) : (q_idx0 * G + h_idx0);
const size_t offset1 = q_transposed ? (h_idx1 * n_rows_q + q_idx1) : (q_idx1 * G + h_idx1);
const HVX_Vector * pv_in0 = (const HVX_Vector *) (temp_q_vtcm + offset0 * DK * sizeof(__fp16));
const HVX_Vector * pv_in1 = (r + 1 < g_rows_end)
? (const HVX_Vector *) (temp_q_vtcm + offset1 * DK * sizeof(__fp16))
: NULL;
{
HVX_Vector v0 = pv_in0[0];
HVX_Vector v1 = pv_in1 ? pv_in1[0] : Q6_V_vzero();
HVX_VectorPair vp = Q6_W_vshuff_VVR(v1, v0, -2);
__fp16 * out_dtile = out_base + 0 * HMX_FP16_TILE_N_ELMS * 2;
HVX_Vector * pv_out0 = ((HVX_Vector *) out_dtile) + r1 / 2;
HVX_Vector * pv_out1 = pv_out0 + 16;
*pv_out0 = Q6_V_lo_W(vp);
*pv_out1 = Q6_V_hi_W(vp);
}
{
HVX_Vector v0 = pv_in0[1];
HVX_Vector v1 = pv_in1 ? pv_in1[1] : Q6_V_vzero();
HVX_VectorPair vp = Q6_W_vshuff_VVR(v1, v0, -2);
__fp16 * out_dtile = out_base + 1 * HMX_FP16_TILE_N_ELMS * 2;
HVX_Vector * pv_out0 = ((HVX_Vector *) out_dtile) + r1 / 2;
HVX_Vector * pv_out1 = pv_out0 + 16;
*pv_out0 = Q6_V_lo_W(vp);
*pv_out1 = Q6_V_hi_W(vp);
}
}
}
static inline void hmx_fa_q_prep_fp16(
__fp16 * vtcm_q_tiles, const uint8_t * temp_q_vtcm,
size_t start, size_t end, size_t g_rows_end,
size_t DK, size_t G, size_t n_rows_q,
const struct fastdiv_values * div_G, uint32_t d_limit, bool q_transposed
) {
for (size_t r = start; r < end; r += 2) {
size_t r0 = r / HMX_FP16_TILE_N_ROWS;
size_t r1 = r % HMX_FP16_TILE_N_ROWS;
__fp16 * out_base = vtcm_q_tiles + r0 * HMX_FP16_TILE_N_ROWS * DK;
if (r >= g_rows_end) {
for (uint32_t d = 0; d < d_limit; ++d) {
__fp16 * out_dtile = out_base + d * HMX_FP16_TILE_N_ELMS * 2;
HVX_Vector * pv_out0 = ((HVX_Vector *) out_dtile) + r1 / 2;
HVX_Vector * pv_out1 = pv_out0 + 16;
*pv_out0 = Q6_V_vzero();
*pv_out1 = Q6_V_vzero();
}
continue;
}
const size_t q_idx0 = fastdiv(r + 0, div_G);
const size_t h_idx0 = fastmodulo(r + 0, G, div_G);
const size_t q_idx1 = fastdiv(r + 1, div_G);
const size_t h_idx1 = fastmodulo(r + 1, G, div_G);
const size_t offset0 = q_transposed ? (h_idx0 * n_rows_q + q_idx0) : (q_idx0 * G + h_idx0);
const size_t offset1 = q_transposed ? (h_idx1 * n_rows_q + q_idx1) : (q_idx1 * G + h_idx1);
const HVX_Vector * pv_in0 = (const HVX_Vector *) (temp_q_vtcm + offset0 * DK * sizeof(__fp16));
const HVX_Vector * pv_in1 = (r + 1 < g_rows_end)
? (const HVX_Vector *) (temp_q_vtcm + offset1 * DK * sizeof(__fp16))
: NULL;
for (uint32_t d = 0; d < d_limit; ++d) {
HVX_Vector v0 = pv_in0[d];
HVX_Vector v1 = pv_in1 ? pv_in1[d] : Q6_V_vzero();
HVX_VectorPair vp = Q6_W_vshuff_VVR(v1, v0, -2);
__fp16 * out_dtile = out_base + d * HMX_FP16_TILE_N_ELMS * 2;
HVX_Vector * pv_out0 = ((HVX_Vector *) out_dtile) + r1 / 2;
HVX_Vector * pv_out1 = pv_out0 + 16;
*pv_out0 = Q6_V_lo_W(vp);
*pv_out1 = Q6_V_hi_W(vp);
}
}
}
static inline void hmx_fa_q_prep_fallback(
__fp16 * vtcm_q_tiles, uintptr_t q_data,
size_t q_nb1, size_t q_nb2, size_t q_nb3,
uint32_t q_start, uint32_t kv_head, uint32_t ib3,
size_t start, size_t end, size_t n_rows_g,
size_t G, size_t DK, bool is_q_fp32,
const struct fastdiv_values * div_G
) {
for (size_t r = start; r < end; r += 2) {
const size_t q_idx0 = fastdiv(r + 0, div_G);
const size_t h_idx0 = fastmodulo(r + 0, G, div_G);
const size_t q_idx1 = fastdiv(r + 1, div_G);
const size_t h_idx1 = fastmodulo(r + 1, G, div_G);
const uint8_t * q_ptr0 = (r + 0 < n_rows_g) ? ((const uint8_t *) q_data + (q_start + q_idx0) * q_nb1 +
(kv_head * G + h_idx0) * q_nb2 + ib3 * q_nb3) :
NULL;
const uint8_t * q_ptr1 = (r + 1 < n_rows_g) ? ((const uint8_t *) q_data + (q_start + q_idx1) * q_nb1 +
(kv_head * G + h_idx1) * q_nb2 + ib3 * q_nb3) :
NULL;
size_t r0 = r / HMX_FP16_TILE_N_ROWS;
size_t r1 = r % HMX_FP16_TILE_N_ROWS;
__fp16 * out_base = vtcm_q_tiles + r0 * HMX_FP16_TILE_N_ROWS * DK;
if (is_q_fp32) {
const HVX_UVector * pv_in0 = q_ptr0 ? (const HVX_UVector *) q_ptr0 : NULL;
const HVX_UVector * pv_in1 = q_ptr1 ? (const HVX_UVector *) q_ptr1 : NULL;
for (uint32_t d = 0; d < DK / 32; ++d) {
HVX_Vector v0 = pv_in0 ? pv_in0[d] : Q6_V_vzero();
HVX_Vector v1 = pv_in1 ? pv_in1[d] : Q6_V_vzero();
HVX_Vector v_hf = hvx_vec_f32_to_f16_shuff(v0, v1);
HVX_Vector * out_tile = (HVX_Vector *) (out_base + d * HMX_FP16_TILE_N_ELMS);
out_tile[r1 / 2] = v_hf;
}
} else {
const HVX_UVector * pv_in0 = q_ptr0 ? (const HVX_UVector *) q_ptr0 : NULL;
const HVX_UVector * pv_in1 = q_ptr1 ? (const HVX_UVector *) q_ptr1 : NULL;
for (uint32_t d = 0; d < DK / 64; ++d) {
HVX_Vector v0 = pv_in0 ? pv_in0[d] : Q6_V_vzero();
HVX_Vector v1 = pv_in1 ? pv_in1[d] : Q6_V_vzero();
HVX_VectorPair vp = Q6_W_vshuff_VVR(v1, v0, -2);
__fp16 * out_dtile = out_base + d * HMX_FP16_TILE_N_ELMS * 2;
HVX_Vector * pv_out0 = ((HVX_Vector *) out_dtile) + r1 / 2;
HVX_Vector * pv_out1 = pv_out0 + 16;
*pv_out0 = Q6_V_lo_W(vp);
*pv_out1 = Q6_V_hi_W(vp);
}
}
}
}
#endif /* HMX_FA_KERNELS_H */

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@@ -0,0 +1,170 @@
#pragma clang diagnostic ignored "-Wunused-function"
#include <stdbool.h>
#include <stdlib.h>
#include <string.h>
#include <qurt_thread.h>
#include <qurt_futex.h>
#include <qurt_hvx.h>
#include <HAP_compute_res.h>
#include "hmx-queue.h"
#define QURT_LOWEST_PRIO (254)
static inline void hmx_lock(hmx_queue_t q)
{
if (!q->hmx_locked) {
HAP_compute_res_hmx_lock(q->hap_rctx);
q->hmx_locked = true;
}
}
static inline void hmx_unlock(hmx_queue_t q)
{
if (q->hmx_locked) {
HAP_compute_res_hmx_unlock(q->hap_rctx);
q->hmx_locked = false;
}
}
static inline void hmx_queue_process(hmx_queue_t q, bool* killed) {
unsigned int ir = atomic_load(&q->idx_read);
while (ir != atomic_load(&q->idx_write)) {
struct hmx_queue_desc *d = &q->desc[ir];
if (!d->done) {
FARF(HIGH, "hmx-queue-process: ir %u func %p data %p", ir, d->func, d->data);
uintptr_t sig = (uintptr_t) d->func;
switch (sig) {
case HMX_QUEUE_NOOP: /* noop */; break;
case HMX_QUEUE_KILL: *killed = true; break;
case HMX_QUEUE_SUSPEND: hmx_unlock(q); break;
case HMX_QUEUE_WAKEUP: hmx_lock(q); break;
default:
hmx_lock(q);
htp_trace_event_start(q->trace, HTP_TRACE_EVT_HMX_COMP, ir);
d->func(d->data);
htp_trace_event_stop(q->trace, HTP_TRACE_EVT_HMX_COMP, ir);
break;
}
atomic_fetch_add(&d->done, 1);
}
ir = (ir + 1) & q->idx_mask;
atomic_store(&q->idx_read, ir);
}
}
static void hmx_queue_thread(void * arg) {
hmx_queue_t q = (hmx_queue_t) arg;
FARF(HIGH, "hmx-queue-thread: started");
bool killed = false;
unsigned int poll_cnt = HMX_QUEUE_POLL_COUNT;
unsigned int prev_seqn = 0;
while (!killed) {
unsigned int seqn = atomic_load(&q->seqn);
if (seqn == prev_seqn) {
// drop HVX context while spinning
if (poll_cnt > 1 && poll_cnt == HMX_QUEUE_POLL_COUNT) {
qurt_hvx_unlock();
}
if (--poll_cnt) { hex_pause(); continue; }
FARF(HIGH, "hmx-queue-thread: sleeping");
qurt_futex_wait(&q->seqn, prev_seqn);
poll_cnt = HMX_QUEUE_POLL_COUNT;
continue;
}
prev_seqn = seqn;
poll_cnt = HMX_QUEUE_POLL_COUNT;
FARF(HIGH, "hmx-queue-thread: new work");
hmx_queue_process(q, &killed);
}
FARF(HIGH, "hmx-queue-thread: stopped");
}
size_t hmx_queue_sizeof(size_t capacity, uint32_t stack_size) {
capacity = hex_ceil_pow2(capacity);
size_t size_q = hex_align_up(sizeof(struct hmx_queue_s), HEX_L2_LINE_SIZE);
size_t size_desc = hex_align_up(capacity * sizeof(struct hmx_queue_desc), HEX_L2_LINE_SIZE);
size_t size_stack = stack_size;
return size_q + size_desc + size_stack;
}
size_t hmx_queue_alignof(void) {
return HEX_L2_LINE_SIZE;
}
hmx_queue_t hmx_queue_init(void * ptr, size_t capacity, uint32_t stack_size, uint32_t hap_rctx, struct htp_thread_trace * trace) {
capacity = hex_ceil_pow2(capacity);
size_t size_q = hex_align_up(sizeof(struct hmx_queue_s), HEX_L2_LINE_SIZE);
size_t size_desc = hex_align_up(capacity * sizeof(struct hmx_queue_desc), HEX_L2_LINE_SIZE);
uint8_t * block = (uint8_t *) ptr;
hmx_queue_t q = (hmx_queue_t) block; block += size_q;
memset(q, 0, sizeof(struct hmx_queue_s));
q->capacity = capacity;
q->idx_mask = capacity - 1;
q->hap_rctx = hap_rctx;
q->external_mem = true;
q->desc = (struct hmx_queue_desc *) block; block += size_desc;
memset(q->desc, 0, capacity * sizeof(struct hmx_queue_desc));
q->stack = block;
memset(q->stack, 0, stack_size);
q->trace = trace;
// Match caller thread priority (same pattern as worker-pool.c).
int prio = qurt_thread_get_priority(qurt_thread_get_id());
if (prio < 1) {
prio = 1;
}
if (prio > QURT_LOWEST_PRIO) {
prio = QURT_LOWEST_PRIO;
}
qurt_thread_attr_t attr;
qurt_thread_attr_init(&attr);
qurt_thread_attr_set_stack_addr(&attr, q->stack);
qurt_thread_attr_set_stack_size(&attr, stack_size);
qurt_thread_attr_set_priority(&attr, prio);
qurt_thread_attr_set_name(&attr, "hmx-queue");
int err = qurt_thread_create(&q->thread, &attr, hmx_queue_thread, q);
if (err) {
FARF(ERROR, "hmx-worker: thread create failed (%d)", err);
return NULL;
}
FARF(HIGH, "hmx-queue: capacity %u\n", capacity);
return q;
}
void hmx_queue_free(hmx_queue_t q) {
if (!q) {
return;
}
// Tell the worker to exit.
hmx_queue_flush(q);
hmx_queue_signal(q, HMX_QUEUE_KILL);
hmx_queue_flush(q);
int status;
qurt_thread_join(q->thread, &status);
}

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#ifndef HMX_QUEUE_H
#define HMX_QUEUE_H
#include <stdbool.h>
#include <stdint.h>
#include <stdatomic.h>
#include <hexagon_types.h>
#include <qurt_thread.h>
#include <qurt_futex.h>
#include <HAP_farf.h>
#include "hex-utils.h"
#include "hex-profile.h"
#ifdef __cplusplus
extern "C" {
#endif
#if __HVX_ARCH__ > 79
#define HMX_QUEUE_POLL_COUNT 2000
#else
#define HMX_QUEUE_POLL_COUNT 1
#endif
typedef void (*hmx_queue_func)(void *);
// Dummy funcs used as signals
enum hmx_queue_signal {
HMX_QUEUE_NOOP = 0, // aka NULL
HMX_QUEUE_WAKEUP,
HMX_QUEUE_SUSPEND,
HMX_QUEUE_KILL
};
struct hmx_queue_desc {
hmx_queue_func func;
void * data;
atomic_uint done;
};
struct hmx_queue_s {
struct hmx_queue_desc * desc;
atomic_uint idx_write; // updated by producer (push)
atomic_uint idx_read; // updated by consumer (process)
unsigned int idx_pop; // updated by producer (pop)
uint32_t idx_mask;
uint32_t capacity;
atomic_uint seqn; // incremented for all pushes, used with futex
qurt_thread_t thread;
void * stack;
uint32_t hap_rctx;
bool hmx_locked;
struct htp_thread_trace * trace;
bool external_mem; // memory owned externally
};
typedef struct hmx_queue_s * hmx_queue_t;
size_t hmx_queue_sizeof(size_t capacity, uint32_t stack_size);
size_t hmx_queue_alignof(void);
hmx_queue_t hmx_queue_init(void * ptr, size_t capacity, uint32_t stack_size, uint32_t hap_rctx, struct htp_thread_trace * trace);
void hmx_queue_free(hmx_queue_t q);
static inline struct hmx_queue_desc hmx_queue_make_desc(hmx_queue_func func, void * data) {
struct hmx_queue_desc d = { func, data };
return d;
}
static inline bool hmx_queue_push(hmx_queue_t q, struct hmx_queue_desc d) {
unsigned int ir = atomic_load(&q->idx_read);
unsigned int iw = atomic_load(&q->idx_write);
if (((iw + 1) & q->idx_mask) == ir) {
FARF(HIGH, "hmx-queue-push: queue is full\n");
return false;
}
atomic_store(&d.done, 0);
FARF(HIGH, "hmx-queue-push: iw %u func %p data %p\n", iw, d.func, d.data);
q->desc[iw] = d;
atomic_store(&q->idx_write, (iw + 1) & q->idx_mask);
// wake up our thread
atomic_fetch_add(&q->seqn, 1);
qurt_futex_wake(&q->seqn, 1);
return true;
}
static inline bool hmx_queue_signal(hmx_queue_t q, enum hmx_queue_signal sig) {
return hmx_queue_push(q, hmx_queue_make_desc((hmx_queue_func) sig, NULL));
}
static inline bool hmx_queue_empty(hmx_queue_t q) {
return q->idx_pop == atomic_load(&q->idx_write);
}
static inline uint32_t hmx_queue_depth(hmx_queue_t q) {
return (atomic_load(&q->idx_write) - atomic_load(&q->idx_read)) & q->idx_mask;
}
static inline uint32_t hmx_queue_capacity(hmx_queue_t q) {
return q->capacity;
}
static inline struct hmx_queue_desc hmx_queue_pop_one(hmx_queue_t q) {
unsigned int ip = q->idx_pop;
unsigned int iw = atomic_load(&q->idx_write);
struct hmx_queue_desc rd = { NULL, NULL };
if (ip == iw) {
return rd;
}
// Wait for desc to complete
struct hmx_queue_desc * d = &q->desc[ip];
while (!atomic_load(&d->done)) {
FARF(HIGH, "hmx-queue-pop: waiting for HMX queue : %u\n", ip);
hex_pause();
}
rd = *d;
q->idx_pop = (ip + 1) & q->idx_mask;
FARF(HIGH, "hmx-queue-pop: ip %u func %p data %p\n", ip, rd.func, rd.data);
return rd;
}
static inline struct hmx_queue_desc hmx_queue_pop(hmx_queue_t q) {
while (1) {
struct hmx_queue_desc d = hmx_queue_pop_one(q);
uint32_t sig = (uint32_t) d.func;
if (sig && sig <= HMX_QUEUE_KILL)
continue;
return d;
}
}
static inline void hmx_queue_flush(hmx_queue_t q) {
while (hmx_queue_pop_one(q).func != NULL) ;
}
static inline void hmx_queue_wakeup(hmx_queue_t q) {
hmx_queue_signal(q, HMX_QUEUE_WAKEUP);
}
static inline void hmx_queue_suspend(hmx_queue_t q) {
hmx_queue_signal(q, HMX_QUEUE_SUSPEND);
}
#ifdef __cplusplus
} // extern "C"
#endif
#endif /* HMX_QUEUE_H */

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// HMX tile-level inline helpers (FP16 32x32 tile operations).
// Ported from htp-ops-lib/include/dsp/hmx_utils.h. (https://github.com/haozixu/htp-ops-lib)
#ifndef HMX_UTILS_H
#define HMX_UTILS_H
#include "hvx-base.h"
#include <assert.h>
#include <hexagon_types.h>
#include <stddef.h>
#define HMX_FP16_TILE_N_ROWS 32
#define HMX_FP16_TILE_N_COLS 32
#define HMX_FP16_TILE_N_ELMS 1024
#define HMX_FP16_TILE_SIZE 2048
// Initialise aligned 256-byte area with scale vector + zero padding.
static inline void hmx_init_column_scales(void *out_scales, HVX_Vector v_scale) {
volatile HVX_Vector *pv = (HVX_Vector *) out_scales;
pv[0] = v_scale;
pv[1] = Q6_V_vzero();
}
// --- Shared scatter offsets and interleave helper ---
// vscatter offsets for fused dequant+transpose: write K-values directly to [K][N] tile.
// word[i] = i*128 maps K-row-pair i to byte offset i*128.
// Column offset (n*4) is added at runtime. Entries 0..15 cover one tile (region 2047);
// entries 16..31 cover the next adjacent tile (region 4095) - pick region size at the
// call site to scatter into one tile (masked) or two contiguous tiles (unmasked).
static const int32_t hmx_transpose_scatter_offsets[32] __attribute__((aligned(VLEN))) = {
0 * 128, 1 * 128, 2 * 128, 3 * 128, 4 * 128, 5 * 128, 6 * 128, 7 * 128, 8 * 128, 9 * 128, 10 * 128,
11 * 128, 12 * 128, 13 * 128, 14 * 128, 15 * 128, 16 * 128, 17 * 128, 18 * 128, 19 * 128, 20 * 128, 21 * 128,
22 * 128, 23 * 128, 24 * 128, 25 * 128, 26 * 128, 27 * 128, 28 * 128, 29 * 128, 30 * 128, 31 * 128,
};
// Scatter row-major FP16 data (in VTCM scratch) into transposed [K][N] tiles.
// vtcm_src: [n_cols][src_stride] row-major fp16 (only first k elements per row are used)
// vtcm_dst: [n_col_tiles][n_k_tiles][HMX_FP16_TILE_N_ELMS] tile-major interleaved fp16
// Processes rows [start_row, end_row) for multi-thread slicing.
// Full range: start_row=0, end_row=n_cols.
static inline void hmx_interleave_rows_to_tiles(__fp16 * restrict vtcm_dst,
const __fp16 * restrict vtcm_src,
uint32_t n_cols,
uint32_t k,
size_t src_stride,
uint32_t start_row,
uint32_t end_row) {
assert(k % HMX_FP16_TILE_N_COLS == 0);
const uint32_t n_k_tiles = k / HMX_FP16_TILE_N_COLS;
const HVX_Vector v_scat_base = hvx_vmem(hmx_transpose_scatter_offsets);
const HVX_Vector v_scat_step = Q6_V_vsplat_R(4);
const HVX_VectorPred q_mask64 = Q6_Q_vsetq_R(64);
// Each hvx_vmemu load brings 64 fp16 = 128 bytes covering 2 adjacent K-tiles.
// When n_k_tiles is even, scatter into 2 K-tiles per call (region 4095, no mask)
// using the upper half of hmx_transpose_scatter_offsets. Tail one K-tile (when
// n_k_tiles is odd) falls back to single-tile masked scatter.
const bool pair_scatter = (n_k_tiles & 1) == 0;
const size_t pair_region = (size_t) (2 * HMX_FP16_TILE_SIZE - 1);
const size_t single_region = (size_t) (HMX_FP16_TILE_SIZE - 1);
__builtin_assume(k > 0);
__builtin_assume(end_row > start_row);
if (pair_scatter) {
// Step c by 64 fp16 (two K-tiles per scatter), advance dst by 2 tiles per iter.
const uint32_t c_step = 2 * HMX_FP16_TILE_N_COLS;
const size_t c_byte_step = (size_t) c_step * sizeof(__fp16);
const size_t dst_step = 2 * (size_t) HMX_FP16_TILE_N_ELMS;
const uint32_t n_c_iters = k / c_step;
for (uint32_t r = start_row; r < end_row; r += 2) {
const uint32_t ct = r / HMX_FP16_TILE_N_ROWS;
const uint32_t local_r = r % HMX_FP16_TILE_N_ROWS;
const bool next_row_valid = (r + 1) < end_row && (r + 1) < n_cols;
const HVX_Vector v_off0 = Q6_Vw_vadd_VwVw(v_scat_base, Q6_V_vsplat_R(local_r * 4));
const HVX_Vector v_off1 = Q6_Vw_vadd_VwVw(v_off0, v_scat_step);
__fp16 * tile_base = vtcm_dst + (size_t) ct * n_k_tiles * HMX_FP16_TILE_N_ELMS;
const uint8_t * p0 = (const uint8_t *) (vtcm_src + r * src_stride);
const uint8_t * p1 = next_row_valid ? (const uint8_t *) (vtcm_src + (r + 1) * src_stride) : NULL;
assert(hex_is_aligned(p0, 128));
assert(hex_is_aligned(p1, 128));
assert(c_byte_step % 128 == 0);
if (p1) {
for (uint32_t i = 0; i < n_c_iters; ++i) {
HVX_Vector v0 = hvx_vmem(p0); p0 += c_byte_step;
HVX_Vector v1 = hvx_vmem(p1); p1 += c_byte_step;
Q6_vscatter_RMVwV((size_t) tile_base, pair_region, v_off0, v0);
Q6_vscatter_RMVwV((size_t) tile_base, pair_region, v_off1, v1);
tile_base += dst_step;
}
} else {
const HVX_Vector vzero = Q6_V_vzero();
for (uint32_t i = 0; i < n_c_iters; ++i) {
HVX_Vector v0 = hvx_vmem(p0); p0 += c_byte_step;
Q6_vscatter_RMVwV((size_t) tile_base, pair_region, v_off0, v0);
Q6_vscatter_RMVwV((size_t) tile_base, pair_region, v_off1, vzero);
tile_base += dst_step;
}
}
}
} else {
// Fallback: scatter one K-tile per call (region 2047, masked).
const uint32_t c_step = HMX_FP16_TILE_N_COLS;
const size_t c_byte_step = (size_t) c_step * sizeof(__fp16);
const size_t dst_step = (size_t) HMX_FP16_TILE_N_ELMS;
const uint32_t n_c_iters = k / c_step;
for (uint32_t r = start_row; r < end_row; r += 2) {
const uint32_t ct = r / HMX_FP16_TILE_N_ROWS;
const uint32_t local_r = r % HMX_FP16_TILE_N_ROWS;
const bool next_row_valid = (r + 1) < end_row && (r + 1) < n_cols;
const HVX_Vector v_off0 = Q6_Vw_vadd_VwVw(v_scat_base, Q6_V_vsplat_R(local_r * 4));
const HVX_Vector v_off1 = Q6_Vw_vadd_VwVw(v_off0, v_scat_step);
__fp16 * tile_base = vtcm_dst + (size_t) ct * n_k_tiles * HMX_FP16_TILE_N_ELMS;
const uint8_t * p0 = (const uint8_t *) (vtcm_src + r * src_stride);
const uint8_t * p1 = next_row_valid ? (const uint8_t *) (vtcm_src + (r + 1) * src_stride) : NULL;
if (p1) {
for (uint32_t i = 0; i < n_c_iters; ++i) {
HVX_Vector v0 = hvx_vmemu(p0); p0 += c_byte_step;
HVX_Vector v1 = hvx_vmemu(p1); p1 += c_byte_step;
Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_base, single_region, v_off0, v0);
Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_base, single_region, v_off1, v1);
tile_base += dst_step;
}
} else {
const HVX_Vector vzero = Q6_V_vzero();
for (uint32_t i = 0; i < n_c_iters; ++i) {
HVX_Vector v0 = hvx_vmemu(p0); p0 += c_byte_step;
Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_base, single_region, v_off0, v0);
Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_base, single_region, v_off1, vzero);
tile_base += dst_step;
}
}
}
}
}
// Interleave row-major FP16 data into column-major tile format.
// Input: [n_rows, head_dim] row-major. Output: tile[dim_tile][row_tile].
// Processes rows [start_row, end_row) for multi-thread slicing.
// Full range: start_row=0, end_row=n_rows.
static inline void hmx_interleave_cols_to_tiles(__fp16 * restrict tiles_out,
const __fp16 * restrict src,
uint32_t n_rows,
uint32_t head_dim,
size_t src_stride,
uint32_t n_row_tiles,
uint32_t start_row,
uint32_t end_row) {
__builtin_assume(head_dim > 0);
const size_t tile_stride_elms = (size_t) n_row_tiles * HMX_FP16_TILE_N_ELMS;
for (uint32_t r = start_row; r < end_row; r += 2) {
const bool next_row_valid = (r + 1) < end_row && (r + 1) < n_rows;
const HVX_Vector * pv_in0 = (const HVX_Vector *) (src + r * src_stride);
const HVX_Vector * pv_in1 = next_row_valid ? (const HVX_Vector *) (src + (r + 1) * src_stride) : NULL;
// Row-pair invariants hoisted out of the c loop.
const uint32_t r0 = r / HMX_FP16_TILE_N_ROWS;
const uint32_t r1_half = (r % HMX_FP16_TILE_N_ROWS) / 2;
// tb0 starts at tile (c0=0, r0); tb1 at the adjacent dim-tile (c0=1, r0).
// Each c step (+= 64) advances both by 2 dim-tiles worth of fp16.
__fp16 * tb0 = tiles_out + (size_t) r0 * HMX_FP16_TILE_N_ELMS;
__fp16 * tb1 = tb0 + tile_stride_elms;
const size_t tb_step = 2 * tile_stride_elms;
if (pv_in1) {
for (uint32_t c = 0; c < head_dim; c += 64) {
HVX_Vector v0 = *pv_in0++;
HVX_Vector v1 = *pv_in1++;
HVX_VectorPair vp = Q6_W_vshuff_VVR(v1, v0, -2);
((HVX_Vector *) tb0)[r1_half] = Q6_V_lo_W(vp);
((HVX_Vector *) tb1)[r1_half] = Q6_V_hi_W(vp);
tb0 += tb_step;
tb1 += tb_step;
}
} else {
const HVX_Vector vzero = Q6_V_vzero();
for (uint32_t c = 0; c < head_dim; c += 64) {
HVX_Vector v0 = *pv_in0++;
HVX_VectorPair vp = Q6_W_vshuff_VVR(vzero, v0, -2);
((HVX_Vector *) tb0)[r1_half] = Q6_V_lo_W(vp);
((HVX_Vector *) tb1)[r1_half] = Q6_V_hi_W(vp);
tb0 += tb_step;
tb1 += tb_step;
}
}
}
}
// --- HMX inline asm macros for load-store packetization ---
#define HMX_LOAD_MPY_F16(act, wt, range) \
"{\n" \
" activation.hf = mxmem(" act ", " range ")\n" \
" weight.hf = mxmem(" wt ", " range ")\n" \
"}\n"
#define HMX_LOAD_MPY_DEEP_F16(act, wt, range) \
"{\n" \
" activation.hf = mxmem(" act ", " range "):deep\n" \
" weight.hf = mxmem(" wt ", " range ")\n" \
"}\n"
#define HMX_STORE_AFTER_F16(out, scale_reg) \
"mxmem(" out ", " scale_reg "):after.hf = acc\n"
#define HMX_SET_BIAS(scales) \
"bias = mxmem2(" scales ")\n"
#define HMX_CLRACC_F16() \
"mxclracc.hf\n"
#endif // HMX_UTILS_H

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#ifndef HTP_CTX_H
#define HTP_CTX_H
#include "hex-dma.h"
#include "hmx-queue.h"
#include "htp-ops.h"
#include "hex-profile.h"
#include "work-queue.h"
#include "hex-fastdiv.h"
#include <assert.h>
#include <dspqueue.h>
#include <stdatomic.h>
#include <stdint.h>
#include <stdbool.h>
#ifndef HTP_MAX_NTHREADS
#define HTP_MAX_NTHREADS 10
#endif
#define HTP_MAX_MMAPS 16
#define HTP_MAX_DIRTY_RANGES 32
// Memory mapping
struct htp_mmap {
uint64_t size;
uint64_t base;
uint32_t fd;
uint32_t reserved;
};
struct htp_dirty_range {
uint32_t start;
uint32_t end;
};
// Scratchpad state
struct htp_spad {
const struct htp_tensor * src; // original src of the data (for reuse)
uint8_t * data; // pointer to an area in vtcm
uint32_t stride; // stride used inside this spad
uint32_t size; // total size
uint32_t size_per_thread; // size per thread
};
struct htp_mdev_group {
uint16_t idx;
uint16_t count;
struct fastdiv_values count_div;
uint8_t * fence_base;
uint32_t fence_seq;
};
struct htp_context;
// Context while processing an Op
// TODO: fold this into the main context
struct htp_ops_context {
struct htp_context * ctx;
enum htp_op_code op; // FIXME: rename to opcode
int32_t op_params[HTP_OP_MAX_PARAMS];
int32_t kernel_params[HTP_OP_MAX_KERN_PARAMS];
const struct htp_tensor * src[HTP_OP_MAX_INPUTS];
union {
const struct htp_tensor * dst;
const struct htp_tensor * dsts[HTP_OP_MAX_OUTPUTS];
};
dma_queue ** src_dma[HTP_OP_MAX_INPUTS];
dma_queue ** dst_dma[HTP_OP_MAX_OUTPUTS];
// TODO convert these to an array
struct htp_spad src0_spad;
struct htp_spad src1_spad;
struct htp_spad src2_spad;
struct htp_spad src3_spad;
struct htp_spad dst_spad;
uint32_t flags;
uint32_t n_threads;
struct fastdiv_values n_threads_div;
int status;
};
// Main context for htp DSP backend
struct htp_context {
dspqueue_t dsp_queue;
struct htp_mmap mmap[HTP_MAX_MMAPS];
dma_queue_t dma[HTP_MAX_NTHREADS];
dma_queue_t dma_cached[HTP_MAX_NTHREADS];
struct htp_thread_trace trace[HTP_MAX_NTHREADS + 1];
work_queue_t work_queue;
hmx_queue_t hmx_queue;
uint32_t n_threads;
struct fastdiv_values n_threads_div;
int thread_id;
int thread_prio;
bool hmx_enabled;
bool etm;
uint32_t profiler;
uint8_t * vtcm_base;
size_t vtcm_size;
uint32_t vtcm_rctx;
atomic_bool vtcm_valid;
atomic_bool vtcm_needs_release;
uint64_t max_vmem;
struct htp_dirty_range dirty_ranges[HTP_MAX_DIRTY_RANGES];
// Persistent DDR scratchpad for MUL_MAT_ID mappings
void * ddr_spad_base;
size_t ddr_spad_size;
struct htp_mdev_group mdev;
struct htp_ops_context octx;
qurt_thread_t main_thread;
void * main_stack;
atomic_bool killed;
size_t footprint;
};
static inline bool htp_ops_context_set_n_threads(struct htp_ops_context * octx, uint32_t n_threads) {
if (n_threads == 0 || n_threads > octx->ctx->n_threads) {
return false;
}
if (n_threads != octx->n_threads) {
octx->n_threads = n_threads;
octx->n_threads_div = n_threads == octx->ctx->n_threads
? octx->ctx->n_threads_div
: init_fastdiv_values(n_threads);
}
return true;
}
static inline void htp_ops_context_set_status(struct htp_ops_context * octx, int status) {
if (status > HTP_STATUS_OK && octx->status == HTP_STATUS_OK) {
octx->status = status;
}
}
int op_matmul(struct htp_ops_context * octx);
int op_matmul_id(struct htp_ops_context * octx);
int op_matmul_nx(struct htp_ops_context * octx);
int op_matmul_id_nx(struct htp_ops_context * octx);
int op_binary(struct htp_ops_context * octx);
int op_unary(struct htp_ops_context * octx);
int op_sum_rows(struct htp_ops_context * octx);
int op_activations(struct htp_ops_context * octx);
int op_softmax(struct htp_ops_context * octx);
int op_add_id(struct htp_ops_context * octx);
int op_rope(struct htp_ops_context * octx);
int op_flash_attn_ext(struct htp_ops_context * octx);
int op_set_rows(struct htp_ops_context * octx);
int op_get_rows(struct htp_ops_context * octx);
int op_cpy(struct htp_ops_context * octx);
int op_repeat(struct htp_ops_context * octx);
int op_argsort(struct htp_ops_context * octx);
int op_ssm_conv(struct htp_ops_context * octx);
int op_cumsum(struct htp_ops_context * octx);
int op_fill(struct htp_ops_context * octx);
int op_concat(struct htp_ops_context * octx);
int op_diag(struct htp_ops_context * octx);
int op_solve_tri(struct htp_ops_context * octx);
int op_gated_delta_net(struct htp_ops_context * octx);
int op_pad(struct htp_ops_context * octx);
int op_im2col(struct htp_ops_context * octx);
int op_allreduce(struct htp_ops_context * octx);
#endif /* HTP_CTX_H */

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#ifndef HTP_FENCE_H
#define HTP_FENCE_H
#include <stdatomic.h>
#include <stdint.h>
#include <HAP_farf.h>
#include "hex-utils.h"
#include "htp-ops.h"
#include "htp-ctx.h"
static inline atomic_uint * htp_mdev_fence_slot(const void * fence_base, uint32_t idx) {
return (atomic_uint *) ((const uint8_t *) fence_base + (size_t) idx * HTP_FENCE_SLOT_SIZE);
}
static inline void htp_fence_write(void * fence_ptr, uint32_t seq, uint32_t status) {
atomic_uint * fence = (atomic_uint *) fence_ptr;
atomic_store(&fence[1], status);
atomic_store(&fence[0], seq);
asm volatile ("syncht" : : : "memory");
Q6_dccleaninva_A((void *) fence);
}
static inline void htp_fence_read(const void * fence_ptr, uint32_t * seq, uint32_t * status) {
const atomic_uint * fence = (const atomic_uint *) fence_ptr;
Q6_dccleaninva_A((void *) fence);
asm volatile ("syncht" : : : "memory");
*seq = atomic_load(&fence[0]);
*status = atomic_load(&fence[1]);
}
static inline void htp_mdev_group_barrier(struct htp_ops_context * octx) {
struct htp_context * ctx = octx->ctx;
if (ctx->mdev.count <= 1) {
return;
}
const uint32_t seq = ++ctx->mdev.fence_seq;
struct htp_thread_trace * tr = &ctx->trace[0];
htp_trace_event_start(tr, HTP_TRACE_EVT_FENCE, (uint16_t) seq);
const uint32_t mdev_idx = ctx->mdev.idx;
const uint32_t mdev_count = ctx->mdev.count;
uint8_t * fence_base = ctx->mdev.fence_base;
atomic_uint * my_fence = htp_mdev_fence_slot(fence_base, mdev_idx);
htp_fence_write(my_fence, seq, octx->status);
for (uint32_t d = 0; d < mdev_count; d++) {
if (d == mdev_idx) continue;
atomic_uint * peer_fence = htp_mdev_fence_slot(fence_base, d);
uint64_t spins = 0;
while (1) {
uint32_t peer_seq;
uint32_t peer_status;
htp_fence_read(peer_fence, &peer_seq, &peer_status);
if ((int32_t)(peer_seq - seq) >= 0) {
if (peer_status > HTP_STATUS_OK) {
FARF(ERROR, "ggml-hex: mdev %u peer %u failed with status %u : seq 0x%08x\n",
mdev_idx, d, peer_status, seq);
htp_ops_context_set_status(octx, peer_status);
}
break;
}
if (++spins == 10000) {
FARF(ALWAYS, "ggml-hex: mdev %u waiting for mdev %u : seq 0x%08x (b %u op %u) my-fence %p peer-fence %p peer-seq 0x%08x (diff %d)\n",
mdev_idx, d, seq, seq >> 12, seq & 0xfff, my_fence, peer_fence, peer_seq, (int32_t)(peer_seq - seq));
}
if (spins > HTP_FENCE_TIMEOUT) {
FARF(ERROR, "ggml-hex: mdev %u timeout waiting for mdev %u : seq 0x%08x (b %u op %u) peer-fence %p peer-seq 0x%08x\n",
mdev_idx, d, seq, seq >> 12, seq & 0xfff, peer_fence, peer_seq);
htp_ops_context_set_status(octx, HTP_STATUS_INTERNAL_ERR);
break;
}
hex_pause();
}
}
asm volatile ("syncht" : : : "memory");
if (octx->status > HTP_STATUS_OK) {
htp_fence_write(my_fence, seq, octx->status);
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_FENCE, (uint16_t) seq);
}
#endif // HTP_FENCE_H

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#ifndef HTP_OPS_H
#define HTP_OPS_H
#include <assert.h>
// ggml-common.h must be included prio to this header
enum htp_status {
HTP_STATUS_OK = 1,
HTP_STATUS_INTERNAL_ERR = 2,
HTP_STATUS_NO_SUPPORT = 3,
HTP_STATUS_INVAL_PARAMS = 4,
HTP_STATUS_VTCM_TOO_SMALL = 5,
};
// First set of values must match the ggml_type.
// Duplicated here because we can't include full ggml.h in the htp build.
// We have some static_asserts in the cpp code to ensure things are in sync.
enum htp_data_type {
HTP_TYPE_F32 = 0,
HTP_TYPE_F16 = 1,
HTP_TYPE_Q4_0 = 2,
HTP_TYPE_Q4_1 = 3,
HTP_TYPE_Q8_0 = 8,
HTP_TYPE_IQ4_NL = 20,
HTP_TYPE_I32 = 26,
HTP_TYPE_I64 = 27,
HTP_TYPE_MXFP4 = 39,
// types used internally for repack, dyn.quant, etc
HTP_TYPE_Q4_0_TILED = 200,
HTP_TYPE_Q4_1_TILED,
HTP_TYPE_Q8_0_TILED,
HTP_TYPE_MXFP4_TILED,
HTP_TYPE_INVALID
};
// Constats for internal types
#define QK_Q4_0_TILED 256 // 32x32 Q4_0 tiled layout
#define QK_Q8_0_TILED 128 // 32x32 Q8_0 tiled layout
#define QK_MXFP4_TILED 256 // 32x32 MXFP4 tiled layout
// Do not reorder first 4 (used as an index)
enum htp_op_code {
HTP_OP_MUL = 0,
HTP_OP_ADD = 1,
HTP_OP_SUB = 2,
HTP_OP_DIV = 3,
HTP_OP_MUL_MAT,
HTP_OP_MUL_MAT_ID,
HTP_OP_MUL_MAT_NX,
HTP_OP_MUL_MAT_ID_NX,
HTP_OP_MUL_MAT_ADD,
HTP_OP_RMS_NORM,
HTP_OP_RMS_NORM_MUL,
HTP_OP_UNARY_SILU,
HTP_OP_UNARY_GELU,
HTP_OP_UNARY_SIGMOID,
HTP_OP_UNARY_EXP,
HTP_OP_UNARY_NEG,
HTP_OP_UNARY_SOFTPLUS,
HTP_OP_UNARY_TANH,
HTP_OP_UNARY_ABS,
HTP_OP_UNARY_LOG,
HTP_OP_UNARY_RELU,
HTP_OP_GLU_SWIGLU,
HTP_OP_GLU_SWIGLU_OAI,
HTP_OP_GLU_GEGLU,
HTP_OP_SOFTMAX,
HTP_OP_ADD_ID,
HTP_OP_ROPE,
HTP_OP_FLASH_ATTN_EXT,
HTP_OP_SET_ROWS,
HTP_OP_GET_ROWS,
HTP_OP_SCALE,
HTP_OP_CPY,
HTP_OP_CPY_FENCE,
HTP_OP_ARGSORT,
HTP_OP_SQR,
HTP_OP_SQRT,
HTP_OP_SUM_ROWS,
HTP_OP_SSM_CONV,
HTP_OP_REPEAT,
HTP_OP_CUMSUM,
HTP_OP_FILL,
HTP_OP_DIAG,
HTP_OP_SOLVE_TRI,
HTP_OP_L2_NORM,
HTP_OP_GATED_DELTA_NET,
HTP_OP_TRI,
HTP_OP_PAD,
HTP_OP_NORM,
HTP_OP_CONCAT,
HTP_OP_CLAMP,
HTP_OP_LEAKY_RELU,
HTP_OP_IM2COL,
HTP_OP_FENCE,
HTP_OP_ALLREDUCE,
HTP_OP_ALLREDUCE_ADD,
HTP_OP_GLU_SWIGLU_CLAMP,
HTP_OP_MDEV_GROUP,
HTP_OP_INVALID
};
#define HTP_OP_MAX_DIMS 4 // aka GGML_MAX_DIMS
#define HTP_OP_MAX_INPUTS 10 // aka GGML_MAX_SRCS
#define HTP_OP_MAX_OUTPUTS 4
#define HTP_OP_MAX_PARAMS 16 // aka GGML_MAX_OP_PARAMS
#define HTP_OP_MAX_KERN_PARAMS 32
#define HTP_OP_MAX_BUFS 16
#define HTP_OP_MAX_TENSORS 8192 // must stay under 64K (uint16)
#define HTP_FENCE_TIMEOUT (1000000000ULL)
#define HTP_FENCE_SLOT_SIZE 128
#define HTP_OP_MAX_VMEM_DEFAULT (3355443200u)
#define HTP_MMAP_MAX_VMEM (2147483648u)
enum htp_tensor_flags {
HTP_TENSOR_WEIGHT = (1U << 0), // Tensor buffer model weight data (not compute)
HTP_TENSOR_REPACK = (1U << 1), // Tensor is in repacked tiled format
HTP_TENSOR_FENCE = (1U << 2) // Tensor is synchronization fence (explicitly managed)
};
// Tensor descriptor
struct htp_tensor {
uint32_t data; // Buffer offset in the messages, and data pointer on the NPU
uint32_t reserved; // Reserved for alignment padding (must be multiple of 8)
uint32_t size; // Data size in bytes
uint32_t flags; // Buffer / tensor flags
uint32_t type; // Data type
uint16_t bi; // Buffer index
uint16_t ti; // Tensor index
uint32_t ne[HTP_OP_MAX_DIMS]; // Number of elements
uint32_t nb[HTP_OP_MAX_DIMS]; // Stride in bytes (see ggml.h ggml_tensor)
};
// Buffer descriptor
struct htp_buf_desc {
uint64_t base; // base address
uint64_t size; // total size
uint32_t flags; // buffer flags (unused)
uint32_t fd; // file descriptor
};
enum htp_op_flags {
HTP_OPFLAGS_SKIP_COMPUTE = (1U << 0), // Skip actual computation (used for profiling)
};
// Op descriptor
struct htp_op_desc {
uint32_t opcode; // GGML/HTP Op
uint32_t flags; // Op flags
int32_t params[HTP_OP_MAX_PARAMS]; // Params for the op, e.g. epsilon of RMS norm
int32_t kernel_params[HTP_OP_MAX_KERN_PARAMS]; // generic blob for host-precomputed parameters
uint16_t src[HTP_OP_MAX_INPUTS]; // Input tensors indices
uint16_t dst[HTP_OP_MAX_OUTPUTS]; // Output tensor indices
uint16_t pad[2]; // padding to align to 64 bits
};
#ifndef HTP_MAX_NTHREADS
#define HTP_MAX_NTHREADS 10
#endif
#define HTP_TRACE_MAX_EVENTS 256
enum htp_profiler_mode {
HTP_PROF_DISABLED = 0,
HTP_PROF_BASIC = 1,
HTP_PROF_PMU = 2,
HTP_PROF_TRACE = 3,
};
enum htp_trace_event_id {
HTP_TRACE_EVT_DMA = 0,
HTP_TRACE_EVT_L2FLUSH = 1,
HTP_TRACE_EVT_INIT = 2,
HTP_TRACE_EVT_BUFF = 3,
HTP_TRACE_EVT_FENCE = 4,
HTP_TRACE_EVT_HVX_COMP = 20,
HTP_TRACE_EVT_HVX_A_QUANT = 21,
HTP_TRACE_EVT_HVX_A_PREP = 22,
HTP_TRACE_EVT_HVX_W_DEQUANT = 23,
HTP_TRACE_EVT_HVX_W_PREP = 24,
HTP_TRACE_EVT_HVX_O_PROC = 25,
HTP_TRACE_EVT_HVX_FA_QK = 26,
HTP_TRACE_EVT_HVX_FA_SFM = 27,
HTP_TRACE_EVT_HVX_FA_Q_PREP = 28,
HTP_TRACE_EVT_HVX_FA_K_PREP = 29,
HTP_TRACE_EVT_HVX_FA_V_PREP = 30,
HTP_TRACE_EVT_HMX_COMP = 40,
};
struct htp_trace_desc {
uint32_t cycles; // lower 32-bits of cycle counter
uint16_t id; // Event ID
uint16_t info; // bit 15: is_stop. bits 14-0: tile/chunk index or other metadata.
};
#define HTP_PROF_PMU_NCNT 8
// Profile descriptor
struct htp_prof_desc {
uint32_t opcode; // GGML/HTP Op
uint32_t usecs; // Number of usec
uint32_t cycles_start; // Start cycle counter
uint32_t cycles_stop; // Stop cycle counter
uint32_t pmu[HTP_PROF_PMU_NCNT]; // PMU counters
};
struct htp_opbatch_req {
uint64_t seq; // Sequence number
uint32_t n_bufs; // Number of buffers
uint32_t n_tensors; // Number of tensors
uint32_t n_ops; // Number of ops
uint32_t n_traces; // Number of trace descriptors per thread
// struct htp_buf_desc bufs[]; -- dspqueue buf 0
// struct htp_tensor tensors[]; -- dspqueue buf 0
// struct htp_op_desc ops[]; -- dspqueue buf 0
};
struct htp_opbatch_rsp {
uint64_t seq; // Sequence number
uint64_t cycles_start; // Start cycle counter
uint64_t cycles_stop; // Stop cycle counter
uint32_t status; // HTP_STATUS_...
uint32_t n_bufs; // Number of buffers
uint32_t n_tensors; // Number of tensors
uint32_t n_ops; // Number of op profile descriptors
uint32_t usecs; // Number of usec
uint32_t n_traces[HTP_MAX_NTHREADS + 1];
// struct htp_prof_desc profs[]; -- dspqueue buf 0
};
#endif /* HTP_OPS_H */

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#include "htp-tensor.h"
#include <qurt.h>
#include <qurt_memory.h>
#include <HAP_farf.h>
#include "hex-common.h"
#include "hex-utils.h"
#include "hex-fastdiv.h"
#include "hex-profile.h"
#include "htp-ctx.h"
#include "work-queue.h"
struct l2flush_range {
uint32_t start; // line-aligned start address
uint32_t end; // line-aligned end address
uint32_t block_first; // global block index of this range's first block
uint32_t n_blocks; // number of HEX_L2_BLOCK_SIZE chunks (last may be partial)
};
struct l2flush_multi_task {
struct htp_thread_trace * trace;
struct l2flush_range ranges[HTP_MAX_DIRTY_RANGES];
uint32_t n_ranges;
uint32_t total_blocks;
uint32_t blocks_per_thread;
};
static void flush_all_dcache(struct htp_context * ctx) {
struct htp_thread_trace * tr = &ctx->trace[0];
htp_trace_event_start(tr, HTP_TRACE_EVT_L2FLUSH, 0);
qurt_mem_cache_clean((qurt_addr_t) 0, 0, QURT_MEM_CACHE_FLUSH_INVALIDATE_ALL, QURT_MEM_DCACHE);
hex_l2fetch_block(ctx, ctx->footprint);
htp_trace_event_stop(tr, HTP_TRACE_EVT_L2FLUSH, 0);
memset(ctx->dirty_ranges, 0, sizeof(ctx->dirty_ranges));
}
static void l2flush_multi_worker(unsigned int n, unsigned int i, void * data) {
struct l2flush_multi_task * task = (struct l2flush_multi_task *) data;
(void) n;
const uint32_t gb_first = i * task->blocks_per_thread;
uint32_t gb_last = gb_first + task->blocks_per_thread;
if (gb_last > task->total_blocks) {
gb_last = task->total_blocks;
}
if (gb_first >= gb_last) {
return;
}
struct htp_thread_trace * tr = &task->trace[i];
htp_trace_event_start(tr, HTP_TRACE_EVT_L2FLUSH, gb_first);
for (uint32_t r = 0; r < task->n_ranges; r++) {
const struct l2flush_range * rg = &task->ranges[r];
const uint32_t rb_first = rg->block_first;
const uint32_t rb_last = rg->block_first + rg->n_blocks;
const uint32_t lo = gb_first > rb_first ? gb_first : rb_first;
const uint32_t hi = gb_last < rb_last ? gb_last : rb_last;
if (lo >= hi) {
continue;
}
const uint32_t s = rg->start + (lo - rb_first) * HEX_L2_BLOCK_SIZE;
uint32_t e = rg->start + (hi - rb_first) * HEX_L2_BLOCK_SIZE;
if (e > rg->end) {
e = rg->end;
}
hex_l2flush((void *) (uintptr_t) s, e - s);
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_L2FLUSH, gb_first);
}
static void merge_dirty_ranges(struct htp_context * ctx) {
for (uint32_t i = 0; i < HTP_MAX_DIRTY_RANGES; i++) {
struct htp_dirty_range * r = &ctx->dirty_ranges[i];
if (!r->start) continue;
for (uint32_t j = 0; j < HTP_MAX_DIRTY_RANGES;) {
struct htp_dirty_range * s = &ctx->dirty_ranges[j];
if (i == j || !s->start || r->end < s->start || s->end < r->start) {
j++;
continue;
}
r->start = MIN(r->start, s->start);
r->end = MAX(r->end, s->end);
s->start = 0;
s->end = 0;
j = 0;
}
}
}
void htp_tensor_dirty_all(struct htp_context * ctx, const struct htp_tensor * const * tensors, uint32_t n) {
const struct htp_tensor * pending[HTP_OP_MAX_OUTPUTS];
uint32_t n_pending = 0;
for (uint32_t i = 0; i < n; i++) {
const struct htp_tensor * t = tensors[i];
if (!t || (t->flags & (HTP_TENSOR_WEIGHT | HTP_TENSOR_FENCE))) {
continue;
}
uint32_t t_start = t->data;
uint32_t t_end = t_start + t->size;
bool merged = false;
for (uint32_t j = 0; j < HTP_MAX_DIRTY_RANGES; j++) {
struct htp_dirty_range * r = &ctx->dirty_ranges[j];
if (!r->start) continue;
if (r->start <= t_end && t_start <= r->end) {
uint32_t new_start = (t_start < r->start) ? t_start : r->start;
uint32_t new_end = (t_end > r->end) ? t_end : r->end;
r->start = new_start;
r->end = new_end;
merged = true;
}
}
if (!merged) {
pending[n_pending++] = t;
}
}
merge_dirty_ranges(ctx);
if (n_pending == 0) {
return;
}
uint32_t empty_indices[HTP_MAX_DIRTY_RANGES];
uint32_t active_indices[HTP_MAX_DIRTY_RANGES];
uint32_t n_active = 0;
uint32_t n_empty = 0;
for (uint32_t j = 0; j < HTP_MAX_DIRTY_RANGES; j++) {
if (ctx->dirty_ranges[j].start) {
active_indices[n_active++] = j;
} else {
empty_indices[n_empty++] = j;
}
}
if (n_pending <= n_empty) {
for (uint32_t i = 0; i < n_pending; i++) {
uint32_t idx = empty_indices[i];
struct htp_dirty_range * r = &ctx->dirty_ranges[idx];
r->start = pending[i]->data;
r->end = pending[i]->data + pending[i]->size;
}
merge_dirty_ranges(ctx);
return;
}
uint32_t n_evict = n_pending - n_empty;
uint32_t total_evict_size = 0;
for (uint32_t i = 0; i < n_evict; i++) {
uint32_t idx = active_indices[i];
struct htp_dirty_range * r = &ctx->dirty_ranges[idx];
total_evict_size += r->end - r->start;
}
if (total_evict_size > HEX_L2_FLUSH_ALL_THRESHOLD) {
flush_all_dcache(ctx);
for (uint32_t i = 0; i < n_pending; i++) {
struct htp_dirty_range * r = &ctx->dirty_ranges[i];
r->start = pending[i]->data;
r->end = pending[i]->data + pending[i]->size;
}
merge_dirty_ranges(ctx);
return;
}
if (total_evict_size > HEX_L2_FLUSH_WQ_THRESHOLD && ctx->n_threads > 1 && n_evict <= HTP_MAX_DIRTY_RANGES) {
struct l2flush_multi_task task;
task.trace = ctx->trace;
task.n_ranges = n_evict;
uint32_t block_acc = 0;
for (uint32_t i = 0; i < n_evict; i++) {
uint32_t idx = active_indices[i];
struct htp_dirty_range * r = &ctx->dirty_ranges[idx];
struct l2flush_range * rg = &task.ranges[i];
rg->start = hex_align_down((size_t) r->start, HEX_L2_LINE_SIZE);
rg->end = hex_align_up((size_t) r->end, HEX_L2_LINE_SIZE);
rg->block_first = block_acc;
rg->n_blocks = (rg->end - rg->start + HEX_L2_BLOCK_SIZE - 1) / HEX_L2_BLOCK_SIZE;
block_acc += rg->n_blocks;
}
task.total_blocks = block_acc;
task.blocks_per_thread = fastdiv(block_acc + ctx->n_threads - 1, &ctx->n_threads_div);
work_queue_run(ctx->work_queue, l2flush_multi_worker, &task, ctx->n_threads);
} else {
struct htp_thread_trace * tr = &ctx->trace[0];
htp_trace_event_start(tr, HTP_TRACE_EVT_L2FLUSH, 0);
for (uint32_t i = 0; i < n_evict; i++) {
uint32_t idx = active_indices[i];
struct htp_dirty_range * r = &ctx->dirty_ranges[idx];
uint32_t size = r->end - r->start;
hex_l2flush((void *) (uintptr_t) r->start, size);
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_L2FLUSH, 0);
}
for (uint32_t i = 0; i < n_evict; i++) {
uint32_t idx = active_indices[i];
struct htp_dirty_range * r = &ctx->dirty_ranges[idx];
r->start = pending[i]->data;
r->end = pending[i]->data + pending[i]->size;
}
for (uint32_t i = 0; i < n_empty; i++) {
uint32_t idx = empty_indices[i];
struct htp_dirty_range * r = &ctx->dirty_ranges[idx];
r->start = pending[n_evict + i]->data;
r->end = pending[n_evict + i]->data + pending[n_evict + i]->size;
}
merge_dirty_ranges(ctx);
}
static void make_tensor_clean(struct htp_context * ctx, const struct htp_tensor * t) {
uint32_t t_start = t->data;
uint32_t t_end = t_start + t->size;
for (uint32_t i = 0; i < HTP_MAX_DIRTY_RANGES; i++) {
struct htp_dirty_range * r = &ctx->dirty_ranges[i];
if (!r->start) continue;
if (r->start < t_end && t_start < r->end) {
if (t_start <= r->start && r->end <= t_end) {
r->start = 0;
} else if (t_start <= r->start) {
r->start = t_end;
} else if (r->end <= t_end) {
r->end = t_start;
}
}
}
}
static inline bool is_tensor_dirty(struct htp_context * ctx, const struct htp_tensor * t) {
uint32_t t_start = t->data;
uint32_t t_end = t_start + t->size;
for (uint32_t i = 0; i < HTP_MAX_DIRTY_RANGES; i++) {
struct htp_dirty_range * r = &ctx->dirty_ranges[i];
if (!r->start) continue;
if (r->start < t_end && t_start < r->end) {
return true;
}
}
return false;
}
static void flush_dirty_ranges(struct htp_context * ctx, const struct htp_dirty_range * ranges, uint32_t n_ranges, uint64_t total_dirty) {
if (total_dirty >= HEX_L2_FLUSH_WQ_THRESHOLD && ctx->n_threads > 1) {
struct l2flush_multi_task task;
task.trace = ctx->trace;
task.n_ranges = n_ranges;
uint32_t block_acc = 0;
for (uint32_t i = 0; i < n_ranges; i++) {
const struct htp_dirty_range * r = &ranges[i];
struct l2flush_range * rg = &task.ranges[i];
rg->start = hex_align_down((size_t) r->start, HEX_L2_LINE_SIZE);
rg->end = hex_align_up((size_t) r->end, HEX_L2_LINE_SIZE);
rg->block_first = block_acc;
rg->n_blocks = (rg->end - rg->start + HEX_L2_BLOCK_SIZE - 1) / HEX_L2_BLOCK_SIZE;
block_acc += rg->n_blocks;
}
task.total_blocks = block_acc;
task.blocks_per_thread = fastdiv(block_acc + ctx->n_threads - 1, &ctx->n_threads_div);
work_queue_run(ctx->work_queue, l2flush_multi_worker, &task, ctx->n_threads);
} else {
struct htp_thread_trace * tr = &ctx->trace[0];
htp_trace_event_start(tr, HTP_TRACE_EVT_L2FLUSH, 0);
for (uint32_t i = 0; i < n_ranges; i++) {
const struct htp_dirty_range * r = &ranges[i];
hex_l2flush((void *) (uintptr_t) r->start, r->end - r->start);
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_L2FLUSH, 0);
}
}
void htp_flush_dirty_ranges(struct htp_context * ctx) {
struct htp_dirty_range ranges[HTP_MAX_DIRTY_RANGES];
uint32_t n_ranges = 0;
uint64_t total_dirty = 0;
for (uint32_t i = 0; i < HTP_MAX_DIRTY_RANGES; i++) {
const struct htp_dirty_range * r = &ctx->dirty_ranges[i];
if (!r->start) {
continue;
}
ranges[n_ranges++] = *r;
total_dirty += r->end - r->start;
}
if (total_dirty == 0) {
return;
}
if (total_dirty > HEX_L2_FLUSH_ALL_THRESHOLD) {
flush_all_dcache(ctx);
return;
}
flush_dirty_ranges(ctx, ranges, n_ranges, total_dirty);
memset(ctx->dirty_ranges, 0, sizeof(ctx->dirty_ranges));
}
void htp_tensor_flush_all(struct htp_context * ctx, const struct htp_tensor * const * tensors, uint32_t n) {
const struct htp_tensor * dirty_tensors[HTP_OP_MAX_INPUTS];
struct htp_dirty_range ranges[HTP_OP_MAX_INPUTS];
uint32_t n_dirty = 0;
uint64_t total_dirty = 0;
for (uint32_t i = 0; i < n; i++) {
const struct htp_tensor * t = tensors[i];
if (t && is_tensor_dirty(ctx, t)) {
dirty_tensors[n_dirty++] = t;
ranges[n_dirty - 1].start = t->data;
ranges[n_dirty - 1].end = t->data + t->size;
total_dirty += t->size;
}
}
if (total_dirty == 0) {
return;
}
if (total_dirty > HEX_L2_FLUSH_ALL_THRESHOLD) {
flush_all_dcache(ctx);
return;
}
flush_dirty_ranges(ctx, ranges, n_dirty, total_dirty);
for (uint32_t i = 0; i < n_dirty; i++) {
make_tensor_clean(ctx, dirty_tensors[i]);
}
}

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@@ -0,0 +1,138 @@
#ifndef HTP_TENSOR_H
#define HTP_TENSOR_H
#include <stdint.h>
#include <stdbool.h>
#include "htp-ops.h"
#include "hex-bitmap.h"
#include "hex-common.h"
#include "hex-fastdiv.h"
enum {
HTP_TENSOR_MDEV_LINE_SIZE = 128,
};
struct htp_tensor_mdev_range {
uint32_t start;
uint32_t count;
};
static inline void * htp_tensor_data(const struct htp_tensor * t) {
return (void *) (uintptr_t) t->data;
}
static inline uint32_t * htp_tensor_flags(const struct htp_tensor * t) {
return (uint32_t *) &t->flags;
}
static inline bool htp_tensor_is_contiguous(const struct htp_tensor * t, uint32_t type_size) {
uint32_t next_nb = type_size;
if (t->ne[0] != 1 && t->nb[0] != next_nb) {
return false;
}
next_nb *= t->ne[0];
for (int i = 1; i < HTP_OP_MAX_DIMS; i++) {
if (t->ne[i] != 1 && t->nb[i] != next_nb) {
return false;
}
next_nb *= t->ne[i];
}
return true;
}
static inline bool htp_tensor_is_permuted(const struct htp_tensor * t) {
return t->nb[0] > t->nb[1] || t->nb[1] > t->nb[2] || t->nb[2] > t->nb[3];
}
static inline bool htp_tensor_mdev_data_aligned(const struct htp_tensor * t) {
return ((uintptr_t) t->data & (HTP_TENSOR_MDEV_LINE_SIZE - 1)) == 0;
}
static inline bool htp_tensor_can_row_partition(const struct htp_tensor * t, uint32_t elem_size) {
if (!htp_tensor_mdev_data_aligned(t)) {
return false;
}
if (t->ne[0] != 1 && t->nb[0] != elem_size) {
return false;
}
if (htp_tensor_is_permuted(t)) {
return false;
}
if (t->ne[1] > 1 && (t->nb[1] & (HTP_TENSOR_MDEV_LINE_SIZE - 1)) != 0) return false;
if (t->ne[2] > 1 && (t->nb[2] & (HTP_TENSOR_MDEV_LINE_SIZE - 1)) != 0) return false;
if (t->ne[3] > 1 && (t->nb[3] & (HTP_TENSOR_MDEV_LINE_SIZE - 1)) != 0) return false;
return true;
}
static inline bool htp_tensor_mdev_rows_per_chunk(const struct htp_tensor * t, uint32_t elem_size, uint32_t row_size, uint32_t * rows_per_chunk) {
*rows_per_chunk = 0;
if (!htp_tensor_mdev_data_aligned(t)) {
return false;
}
if (t->ne[0] != 1 && t->nb[0] != elem_size) {
return false;
}
if (htp_tensor_is_permuted(t)) {
return false;
}
if (t->ne[1] > 1 && (t->nb[1] & (HTP_TENSOR_MDEV_LINE_SIZE - 1)) == 0 &&
(t->ne[2] <= 1 || (t->nb[2] & (HTP_TENSOR_MDEV_LINE_SIZE - 1)) == 0) &&
(t->ne[3] <= 1 || (t->nb[3] & (HTP_TENSOR_MDEV_LINE_SIZE - 1)) == 0)) {
*rows_per_chunk = 1;
return true;
}
if (t->nb[1] == row_size &&
(t->ne[2] <= 1 || t->nb[2] == t->nb[1] * t->ne[1]) &&
(t->ne[3] <= 1 || t->nb[3] == t->nb[2] * t->ne[2])) {
*rows_per_chunk = (row_size > 0) ? (HTP_TENSOR_MDEV_LINE_SIZE / hex_gcd_u32(row_size, HTP_TENSOR_MDEV_LINE_SIZE)) : 1;
return true;
}
return false;
}
static inline struct htp_tensor_mdev_range htp_tensor_mdev_partition(uint32_t total_units, uint32_t units_per_chunk, uint32_t mdev_idx, uint32_t mdev_count, const struct fastdiv_values * mdev_count_div) {
struct htp_tensor_mdev_range range = { 0, total_units };
if (mdev_count <= 1) {
return range;
}
if (units_per_chunk == 0) {
range.start = (mdev_idx == 0) ? 0 : total_units;
range.count = (mdev_idx == 0) ? total_units : 0;
return range;
}
const uint32_t total_chunks = total_units / units_per_chunk;
if (total_chunks < mdev_count) {
range.start = (mdev_idx == 0) ? 0 : total_units;
range.count = (mdev_idx == 0) ? total_units : 0;
return range;
}
const uint32_t chunks_per_mdev = fastdiv(total_chunks + mdev_count - 1, mdev_count_div);
range.start = MIN(mdev_idx * chunks_per_mdev * units_per_chunk, total_units);
if (mdev_idx == mdev_count - 1) {
range.count = total_units - range.start;
} else {
range.count = MIN(chunks_per_mdev * units_per_chunk, total_units - range.start);
}
return range;
}
static inline uint32_t htp_tensor_get_row_size(int type, uint32_t ne00) {
switch (type) {
case HTP_TYPE_F32: return ne00 * 4;
case HTP_TYPE_F16: return ne00 * 2;
case HTP_TYPE_Q8_0: return (ne00 / 32) * 34;
default: return 0;
}
}
struct htp_context;
void htp_flush_dirty_ranges(struct htp_context * ctx);
void htp_tensor_flush_all(struct htp_context * ctx, const struct htp_tensor * const * tensors, uint32_t n);
void htp_tensor_dirty_all(struct htp_context * ctx, const struct htp_tensor * const * tensors, uint32_t n);
#endif // HTP_TENSOR_H

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#ifndef HTP_VTCM_H
#define HTP_VTCM_H
#include <stddef.h>
#include <stdint.h>
static inline uint8_t *vtcm_seq_alloc(uint8_t **vtcm_ptr, size_t size) {
uint8_t *p = *vtcm_ptr;
*vtcm_ptr += size;
return p;
}
#define VTCM_LAYOUT_ALLOC(off, field, sz) do { (L)->field = (off); (off) += (sz); } while (0)
#define VTCM_LAYOUT_ALLOC_OPTIONAL(off, field, sz, cond) do { if (cond) { VTCM_LAYOUT_ALLOC(off, field, sz); } else { (L)->field = 0; } } while (0)
#define VTCM_LAYOUT_PTR(type, base, offset) ((type *)((uint8_t *)(base) + (offset)))
#define VTCM_LAYOUT_PTR_OPTIONAL(type, base, offset, cond) ((cond) ? VTCM_LAYOUT_PTR(type, base, offset) : NULL)
#endif // HTP_VTCM_H

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// FastRPC IDL interface for GGML HTP
#ifndef HTP_IDL
#define HTP_IDL
#include "AEEStdDef.idl"
#include "remote.idl"
struct htp_iface_pmu_conf {
uint32 events[8];
};
interface htp_iface : remote_handle64 {
AEEResult start(in uint32 sess_id, in uint64 dsp_queue_id, in uint32 n_hvx, in uint32 n_hmx, in uint64 max_vmem);
AEEResult stop();
AEEResult mmap(in uint32 fd, in uint32 size);
AEEResult munmap(in uint32 fd);
AEEResult profiler(in uint32 mode, in htp_iface_pmu_conf pmu);
AEEResult etm(in uint32 enable);
AEEResult hwinfo(rout uint32 n_threads, rout uint32 n_hvx, rout uint32 n_hmx, rout uint64 vtcm_size);
};
#endif /* HTP_IDL */

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#ifndef HVX_ARITH_H
#define HVX_ARITH_H
#include <assert.h>
#include <stddef.h>
#include <stdint.h>
#include <math.h>
#include "hvx-base.h"
#include "hex-utils.h"
//
// Binary operations (add, mul, sub)
//
#define UNUSED(x) (void)(x)
#define hvx_arith_loop_body(dst_type, src0_type, src1_type, elem_size, vec_store, vec_op) \
do { \
dst_type * vdst = (dst_type *) dst; \
src0_type * vsrc0 = (src0_type *) src0; \
src1_type * vsrc1 = (src1_type *) src1; \
\
const uint32_t epv = 128 / (elem_size); \
const uint32_t nvec = n / epv; \
const uint32_t nloe = n % epv; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
vdst[i] = vec_op(vsrc0[i], vsrc1[i]); \
} \
if (nloe) { \
HVX_Vector v = vec_op(vsrc0[i], vsrc1[i]); \
vec_store((void *) &vdst[i], nloe * (elem_size), v); \
} \
} while(0)
#if __HVX_ARCH__ < 79
#define HVX_OP_ADD_F32(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(a, b))
#define HVX_OP_SUB_F32(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vsub_VsfVsf(a, b))
#define HVX_OP_MUL_F32(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(a, b))
#else
#define HVX_OP_ADD_F32(a, b) Q6_Vsf_vadd_VsfVsf(a, b)
#define HVX_OP_SUB_F32(a, b) Q6_Vsf_vsub_VsfVsf(a, b)
#define HVX_OP_MUL_F32(a, b) Q6_Vsf_vmpy_VsfVsf(a, b)
#endif
#define HVX_OP_ADD_F16(a, b) hvx_vec_add_f16_f16(a, b)
#define HVX_OP_SUB_F16(a, b) hvx_vec_sub_f16_f16(a, b)
#define HVX_OP_MUL_F16(a, b) hvx_vec_mul_f16_f16(a, b)
// Generic macro to define alignment permutations for an op
#define DEFINE_HVX_BINARY_OP_VARIANTS(OP_NAME, OP_MACRO, ELEM_TYPE) \
static inline void OP_NAME##_aaa(uint8_t * dst, const uint8_t * src0, const uint8_t * src1, uint32_t n) { \
assert((uintptr_t) dst % 128 == 0); \
assert((uintptr_t) src0 % 128 == 0); \
assert((uintptr_t) src1 % 128 == 0); \
hvx_arith_loop_body(HVX_Vector, HVX_Vector, HVX_Vector, sizeof(ELEM_TYPE), hvx_vec_store_a, OP_MACRO); \
} \
static inline void OP_NAME##_aau(uint8_t * dst, const uint8_t * src0, const uint8_t * src1, uint32_t n) { \
assert((uintptr_t) dst % 128 == 0); \
assert((uintptr_t) src0 % 128 == 0); \
hvx_arith_loop_body(HVX_Vector, HVX_Vector, HVX_UVector, sizeof(ELEM_TYPE), hvx_vec_store_a, OP_MACRO); \
} \
static inline void OP_NAME##_aua(uint8_t * dst, const uint8_t * src0, const uint8_t * src1, uint32_t n) { \
assert((uintptr_t) dst % 128 == 0); \
assert((uintptr_t) src1 % 128 == 0); \
hvx_arith_loop_body(HVX_Vector, HVX_UVector, HVX_Vector, sizeof(ELEM_TYPE), hvx_vec_store_a, OP_MACRO); \
} \
static inline void OP_NAME##_auu(uint8_t * dst, const uint8_t * src0, const uint8_t * src1, uint32_t n) { \
assert((uintptr_t) dst % 128 == 0); \
hvx_arith_loop_body(HVX_Vector, HVX_UVector, HVX_UVector, sizeof(ELEM_TYPE), hvx_vec_store_a, OP_MACRO); \
} \
static inline void OP_NAME##_uaa(uint8_t * dst, const uint8_t * src0, const uint8_t * src1, uint32_t n) { \
assert((uintptr_t) src0 % 128 == 0); \
assert((uintptr_t) src1 % 128 == 0); \
hvx_arith_loop_body(HVX_UVector, HVX_Vector, HVX_Vector, sizeof(ELEM_TYPE), hvx_vec_store_u, OP_MACRO); \
} \
static inline void OP_NAME##_uau(uint8_t * dst, const uint8_t * src0, const uint8_t * src1, uint32_t n) { \
assert((uintptr_t) src0 % 128 == 0); \
hvx_arith_loop_body(HVX_UVector, HVX_Vector, HVX_UVector, sizeof(ELEM_TYPE), hvx_vec_store_u, OP_MACRO); \
} \
static inline void OP_NAME##_uua(uint8_t * dst, const uint8_t * src0, const uint8_t * src1, uint32_t n) { \
assert((uintptr_t) src1 % 128 == 0); \
hvx_arith_loop_body(HVX_UVector, HVX_UVector, HVX_Vector, sizeof(ELEM_TYPE), hvx_vec_store_u, OP_MACRO); \
} \
static inline void OP_NAME##_uuu(uint8_t * dst, const uint8_t * src0, const uint8_t * src1, uint32_t n) { \
hvx_arith_loop_body(HVX_UVector, HVX_UVector, HVX_UVector, sizeof(ELEM_TYPE), hvx_vec_store_u, OP_MACRO); \
} \
DEFINE_HVX_BINARY_OP_VARIANTS(hvx_add_f32, HVX_OP_ADD_F32, float)
DEFINE_HVX_BINARY_OP_VARIANTS(hvx_sub_f32, HVX_OP_SUB_F32, float)
DEFINE_HVX_BINARY_OP_VARIANTS(hvx_mul_f32, HVX_OP_MUL_F32, float)
DEFINE_HVX_BINARY_OP_VARIANTS(hvx_add_f16, HVX_OP_ADD_F16, _Float16)
DEFINE_HVX_BINARY_OP_VARIANTS(hvx_sub_f16, HVX_OP_SUB_F16, _Float16)
DEFINE_HVX_BINARY_OP_VARIANTS(hvx_mul_f16, HVX_OP_MUL_F16, _Float16)
// Dispatcher logic
#define HVX_BINARY_DISPATCHER(OP_NAME) \
static inline void OP_NAME(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, const uint32_t num_elems) { \
if (hex_is_aligned((void *) dst, 128)) { \
if (hex_is_aligned((void *) src0, 128)) { \
if (hex_is_aligned((void *) src1, 128)) OP_NAME##_aaa(dst, src0, src1, num_elems); \
else OP_NAME##_aau(dst, src0, src1, num_elems); \
} else { \
if (hex_is_aligned((void *) src1, 128)) OP_NAME##_aua(dst, src0, src1, num_elems); \
else OP_NAME##_auu(dst, src0, src1, num_elems); \
} \
} else { \
if (hex_is_aligned((void *) src0, 128)) { \
if (hex_is_aligned((void *) src1, 128)) OP_NAME##_uaa(dst, src0, src1, num_elems); \
else OP_NAME##_uau(dst, src0, src1, num_elems); \
} else { \
if (hex_is_aligned((void *) src1, 128)) OP_NAME##_uua(dst, src0, src1, num_elems); \
else OP_NAME##_uuu(dst, src0, src1, num_elems); \
} \
} \
}
HVX_BINARY_DISPATCHER(hvx_add_f32)
HVX_BINARY_DISPATCHER(hvx_sub_f32)
HVX_BINARY_DISPATCHER(hvx_mul_f32)
HVX_BINARY_DISPATCHER(hvx_add_f16)
HVX_BINARY_DISPATCHER(hvx_sub_f16)
HVX_BINARY_DISPATCHER(hvx_mul_f16)
// Mul-Mul Optimized
static inline void hvx_mul_mul_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, const uint8_t * restrict src2, const uint32_t num_elems) {
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src0 % 128 == 0);
assert((unsigned long) src1 % 128 == 0);
assert((unsigned long) src2 % 128 == 0);
HVX_Vector * restrict vdst = (HVX_Vector *) dst;
HVX_Vector * restrict vsrc0 = (HVX_Vector *) src0;
HVX_Vector * restrict vsrc1 = (HVX_Vector *) src1;
HVX_Vector * restrict vsrc2 = (HVX_Vector *) src2;
const uint32_t elem_size = sizeof(float);
const uint32_t epv = 128 / elem_size;
const uint32_t nvec = num_elems / epv;
const uint32_t nloe = num_elems % epv;
uint32_t i = 0;
_Pragma("unroll(4)")
for (; i < nvec; i++) {
HVX_Vector v1 = HVX_OP_MUL_F32(vsrc0[i], vsrc1[i]);
vdst[i] = HVX_OP_MUL(v1, vsrc2[i]);
}
if (nloe) {
HVX_Vector v1 = HVX_OP_MUL_F32(vsrc0[i], vsrc1[i]);
HVX_Vector v2 = HVX_OP_MUL_F32(v1, vsrc2[i]);
hvx_vec_store_a((void *) &vdst[i], nloe * elem_size, v2);
}
}
// Scalar Operations
#define hvx_scalar_loop_body(dst_type, src_type, elem_size, vec_store, scalar_op_macro) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
const uint32_t epv = 128 / (elem_size); \
const uint32_t nvec = n / epv; \
const uint32_t nloe = n % epv; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
HVX_Vector v = vsrc[i]; \
vdst[i] = scalar_op_macro(v); \
} \
if (nloe) { \
HVX_Vector v = vsrc[i]; \
v = scalar_op_macro(v); \
vec_store((void *) &vdst[i], nloe * (elem_size), v); \
} \
} while(0)
#define HVX_OP_ADD_SCALAR_F32(v) \
({ \
const HVX_VectorPred pred_inf = Q6_Q_vcmp_eq_VwVw(inf, v); \
HVX_Vector out = HVX_OP_ADD_F32(v, val_vec); \
Q6_V_vmux_QVV(pred_inf, inf, out); \
})
#define HVX_OP_MUL_SCALAR_F32(v) HVX_OP_MUL_F32(v, val_vec)
#define HVX_OP_SUB_SCALAR_F32(v) HVX_OP_SUB_F32(v, val_vec)
#define HVX_OP_ADD_SCALAR_F16(v) \
({ \
const HVX_VectorPred pred_inf = Q6_Q_vcmp_eq_VhVh(inf, v); \
HVX_Vector out = HVX_OP_ADD_F16(v, val_vec); \
Q6_V_vmux_QVV(pred_inf, inf, out); \
})
#define HVX_OP_MUL_SCALAR_F16(v) HVX_OP_MUL_F16(v, val_vec)
#define HVX_OP_SUB_SCALAR_F16(v) HVX_OP_SUB_F16(v, val_vec)
// Scalar Variants
// Generic macro to define alignment permutations for an op
#define DEFINE_HVX_BINARY_SCALAR_OP_VARIANTS(OP_NAME, OP_MACRO, SPLAT_MACRO, ELEM_TYPE) \
static inline void OP_NAME##_aa(uint8_t * restrict dst, const uint8_t * restrict src, const ELEM_TYPE val, uint32_t n) { \
const HVX_Vector val_vec = SPLAT_MACRO(val); \
const HVX_Vector inf = SPLAT_MACRO((ELEM_TYPE)INFINITY); UNUSED(inf); \
assert((uintptr_t) dst % 128 == 0); \
assert((uintptr_t) src % 128 == 0); \
hvx_scalar_loop_body(HVX_Vector, HVX_Vector, sizeof(ELEM_TYPE), hvx_vec_store_a, OP_MACRO); \
} \
static inline void OP_NAME##_au(uint8_t * restrict dst, const uint8_t * restrict src, const ELEM_TYPE val, uint32_t n) { \
const HVX_Vector val_vec = SPLAT_MACRO(val); \
const HVX_Vector inf = SPLAT_MACRO((ELEM_TYPE)INFINITY); UNUSED(inf); \
assert((uintptr_t) dst % 128 == 0); \
hvx_scalar_loop_body(HVX_Vector, HVX_UVector, sizeof(ELEM_TYPE), hvx_vec_store_a, OP_MACRO); \
} \
static inline void OP_NAME##_ua(uint8_t * restrict dst, const uint8_t * restrict src, const ELEM_TYPE val, uint32_t n) { \
const HVX_Vector val_vec = SPLAT_MACRO(val); \
const HVX_Vector inf = SPLAT_MACRO((ELEM_TYPE)INFINITY); UNUSED(inf); \
assert((uintptr_t) src % 128 == 0); \
hvx_scalar_loop_body(HVX_UVector, HVX_Vector, sizeof(ELEM_TYPE), hvx_vec_store_u, OP_MACRO); \
} \
static inline void OP_NAME##_uu(uint8_t * restrict dst, const uint8_t * restrict src, const ELEM_TYPE val, uint32_t n) { \
const HVX_Vector val_vec = SPLAT_MACRO(val); \
const HVX_Vector inf = SPLAT_MACRO((ELEM_TYPE)INFINITY); UNUSED(inf); \
hvx_scalar_loop_body(HVX_UVector, HVX_UVector, sizeof(ELEM_TYPE), hvx_vec_store_u, OP_MACRO); \
} \
DEFINE_HVX_BINARY_SCALAR_OP_VARIANTS(hvx_add_scalar_f32, HVX_OP_ADD_SCALAR_F32, hvx_vec_splat_f32, float)
DEFINE_HVX_BINARY_SCALAR_OP_VARIANTS(hvx_sub_scalar_f32, HVX_OP_SUB_SCALAR_F32, hvx_vec_splat_f32, float)
DEFINE_HVX_BINARY_SCALAR_OP_VARIANTS(hvx_mul_scalar_f32, HVX_OP_MUL_SCALAR_F32, hvx_vec_splat_f32, float)
DEFINE_HVX_BINARY_SCALAR_OP_VARIANTS(hvx_add_scalar_f16, HVX_OP_ADD_SCALAR_F16, hvx_vec_splat_f16, _Float16)
DEFINE_HVX_BINARY_SCALAR_OP_VARIANTS(hvx_sub_scalar_f16, HVX_OP_SUB_SCALAR_F16, hvx_vec_splat_f16, _Float16)
DEFINE_HVX_BINARY_SCALAR_OP_VARIANTS(hvx_mul_scalar_f16, HVX_OP_MUL_SCALAR_F16, hvx_vec_splat_f16, _Float16)
// Dispatcher logic
#define HVX_BINARY_SCALAR_DISPATCHER(OP_NAME, ELEM_TYPE) \
static inline void OP_NAME(uint8_t * restrict dst, const uint8_t * restrict src, const ELEM_TYPE val, const uint32_t num_elems) { \
if (hex_is_aligned((void *) dst, 128) && hex_is_aligned((void *) src, 128)) { \
OP_NAME##_aa(dst, src, val, num_elems); \
} else if (hex_is_aligned((void *) dst, 128)) { \
OP_NAME##_au(dst, src, val, num_elems); \
} else if (hex_is_aligned((void *) src, 128)) { \
OP_NAME##_ua(dst, src, val, num_elems); \
} else { \
OP_NAME##_uu(dst, src, val, num_elems); \
} \
}
HVX_BINARY_SCALAR_DISPATCHER(hvx_add_scalar_f32, float)
HVX_BINARY_SCALAR_DISPATCHER(hvx_sub_scalar_f32, float)
HVX_BINARY_SCALAR_DISPATCHER(hvx_mul_scalar_f32, float)
HVX_BINARY_SCALAR_DISPATCHER(hvx_add_scalar_f16, _Float16)
HVX_BINARY_SCALAR_DISPATCHER(hvx_sub_scalar_f16, _Float16)
HVX_BINARY_SCALAR_DISPATCHER(hvx_mul_scalar_f16, _Float16)
// MIN Scalar variants
#define HVX_OP_MIN_SCALAR(v) Q6_Vsf_vmin_VsfVsf(val_vec, v)
static inline void hvx_min_scalar_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
const HVX_Vector val_vec = hvx_vec_splat_f32(val);
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
hvx_scalar_loop_body(HVX_Vector, HVX_Vector, sizeof(float), hvx_vec_store_a, HVX_OP_MIN_SCALAR);
}
static inline void hvx_min_scalar_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
const HVX_Vector val_vec = hvx_vec_splat_f32(val);
assert((unsigned long) dst % 128 == 0);
hvx_scalar_loop_body(HVX_Vector, HVX_UVector, sizeof(float), hvx_vec_store_a, HVX_OP_MIN_SCALAR);
}
static inline void hvx_min_scalar_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
const HVX_Vector val_vec = hvx_vec_splat_f32(val);
assert((unsigned long) src % 128 == 0);
hvx_scalar_loop_body(HVX_UVector, HVX_Vector, sizeof(float), hvx_vec_store_u, HVX_OP_MIN_SCALAR);
}
static inline void hvx_min_scalar_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
const HVX_Vector val_vec = hvx_vec_splat_f32(val);
hvx_scalar_loop_body(HVX_UVector, HVX_UVector, sizeof(float), hvx_vec_store_u, HVX_OP_MIN_SCALAR);
}
static inline void hvx_min_scalar_f32(uint8_t * restrict dst, const uint8_t * restrict src, const float val, const int num_elems) {
if (hex_is_aligned((void *) dst, 128) && hex_is_aligned((void *) src, 128)) {
hvx_min_scalar_f32_aa(dst, src, val, num_elems);
} else if (hex_is_aligned((void *) dst, 128)) {
hvx_min_scalar_f32_au(dst, src, val, num_elems);
} else if (hex_is_aligned((void *) src, 128)) {
hvx_min_scalar_f32_ua(dst, src, val, num_elems);
} else {
hvx_min_scalar_f32_uu(dst, src, val, num_elems);
}
}
// MAX Scalar variants
#define HVX_OP_MAX_SCALAR(v) Q6_Vsf_vmax_VsfVsf(val_vec, v)
static inline void hvx_max_scalar_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
const HVX_Vector val_vec = hvx_vec_splat_f32(val);
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
hvx_scalar_loop_body(HVX_Vector, HVX_Vector, sizeof(float), hvx_vec_store_a, HVX_OP_MAX_SCALAR);
}
static inline void hvx_max_scalar_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
const HVX_Vector val_vec = hvx_vec_splat_f32(val);
assert((unsigned long) dst % 128 == 0);
hvx_scalar_loop_body(HVX_Vector, HVX_UVector, sizeof(float), hvx_vec_store_a, HVX_OP_MAX_SCALAR);
}
static inline void hvx_max_scalar_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
const HVX_Vector val_vec = hvx_vec_splat_f32(val);
assert((unsigned long) src % 128 == 0);
hvx_scalar_loop_body(HVX_UVector, HVX_Vector, sizeof(float), hvx_vec_store_u, HVX_OP_MAX_SCALAR);
}
static inline void hvx_max_scalar_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
const HVX_Vector val_vec = hvx_vec_splat_f32(val);
hvx_scalar_loop_body(HVX_UVector, HVX_UVector, sizeof(float), hvx_vec_store_u, HVX_OP_MAX_SCALAR);
}
static inline void hvx_max_scalar_f32(uint8_t * restrict dst, const uint8_t * restrict src, const float val, const int num_elems) {
if (hex_is_aligned((void *) dst, 128) && hex_is_aligned((void *) src, 128)) {
hvx_max_scalar_f32_aa(dst, src, val, num_elems);
} else if (hex_is_aligned((void *) dst, 128)) {
hvx_max_scalar_f32_au(dst, src, val, num_elems);
} else if (hex_is_aligned((void *) src, 128)) {
hvx_max_scalar_f32_ua(dst, src, val, num_elems);
} else {
hvx_max_scalar_f32_uu(dst, src, val, num_elems);
}
}
// CLAMP Scalar variants
#define HVX_OP_CLAMP_SCALAR(v) \
({ \
HVX_VectorPred pred_cap_right = Q6_Q_vcmp_gt_VsfVsf(v, max_vec); \
HVX_VectorPred pred_cap_left = Q6_Q_vcmp_gt_VsfVsf(min_vec, v); \
HVX_Vector tmp = Q6_V_vmux_QVV(pred_cap_right, max_vec, v); \
Q6_V_vmux_QVV(pred_cap_left, min_vec, tmp); \
})
static inline void hvx_clamp_scalar_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, const float min, const float max, uint32_t n) {
const HVX_Vector min_vec = hvx_vec_splat_f32(min);
const HVX_Vector max_vec = hvx_vec_splat_f32(max);
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
hvx_scalar_loop_body(HVX_Vector, HVX_Vector, sizeof(float), hvx_vec_store_a, HVX_OP_CLAMP_SCALAR);
}
static inline void hvx_clamp_scalar_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, const float min, const float max, uint32_t n) {
const HVX_Vector min_vec = hvx_vec_splat_f32(min);
const HVX_Vector max_vec = hvx_vec_splat_f32(max);
assert((unsigned long) dst % 128 == 0);
hvx_scalar_loop_body(HVX_Vector, HVX_UVector, sizeof(float), hvx_vec_store_a, HVX_OP_CLAMP_SCALAR);
}
static inline void hvx_clamp_scalar_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, const float min, const float max, uint32_t n) {
const HVX_Vector min_vec = hvx_vec_splat_f32(min);
const HVX_Vector max_vec = hvx_vec_splat_f32(max);
assert((unsigned long) src % 128 == 0);
hvx_scalar_loop_body(HVX_UVector, HVX_Vector, sizeof(float), hvx_vec_store_u, HVX_OP_CLAMP_SCALAR);
}
static inline void hvx_clamp_scalar_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, const float min, const float max, uint32_t n) {
const HVX_Vector min_vec = hvx_vec_splat_f32(min);
const HVX_Vector max_vec = hvx_vec_splat_f32(max);
hvx_scalar_loop_body(HVX_UVector, HVX_UVector, sizeof(float), hvx_vec_store_u, HVX_OP_CLAMP_SCALAR);
}
static inline void hvx_clamp_scalar_f32(uint8_t * restrict dst, const uint8_t * restrict src, const float min, const float max, const int num_elems) {
if (hex_is_aligned((void *) dst, 128) && hex_is_aligned((void *) src, 128)) {
hvx_clamp_scalar_f32_aa(dst, src, min, max, num_elems);
} else if (hex_is_aligned((void *) dst, 128)) {
hvx_clamp_scalar_f32_au(dst, src, min, max, num_elems);
} else if (hex_is_aligned((void *) src, 128)) {
hvx_clamp_scalar_f32_ua(dst, src, min, max, num_elems);
} else {
hvx_clamp_scalar_f32_uu(dst, src, min, max, num_elems);
}
}
#define HVX_OP_CLAMP_SCALAR_F16(v) \
({ \
HVX_VectorPred pred_cap_right = Q6_Q_vcmp_gt_VhfVhf(v, max_vec); \
HVX_VectorPred pred_cap_left = Q6_Q_vcmp_gt_VhfVhf(min_vec, v); \
HVX_Vector tmp = Q6_V_vmux_QVV(pred_cap_right, max_vec, v); \
Q6_V_vmux_QVV(pred_cap_left, min_vec, tmp); \
})
static inline void hvx_clamp_scalar_f16_aa(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 min, const _Float16 max, uint32_t n) {
const HVX_Vector min_vec = hvx_vec_splat_f16(min);
const HVX_Vector max_vec = hvx_vec_splat_f16(max);
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
hvx_scalar_loop_body(HVX_Vector, HVX_Vector, sizeof(_Float16), hvx_vec_store_a, HVX_OP_CLAMP_SCALAR_F16);
}
static inline void hvx_clamp_scalar_f16_au(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 min, const _Float16 max, uint32_t n) {
const HVX_Vector min_vec = hvx_vec_splat_f16(min);
const HVX_Vector max_vec = hvx_vec_splat_f16(max);
assert((unsigned long) dst % 128 == 0);
hvx_scalar_loop_body(HVX_Vector, HVX_UVector, sizeof(_Float16), hvx_vec_store_a, HVX_OP_CLAMP_SCALAR_F16);
}
static inline void hvx_clamp_scalar_f16_ua(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 min, const _Float16 max, uint32_t n) {
const HVX_Vector min_vec = hvx_vec_splat_f16(min);
const HVX_Vector max_vec = hvx_vec_splat_f16(max);
assert((unsigned long) src % 128 == 0);
hvx_scalar_loop_body(HVX_UVector, HVX_Vector, sizeof(_Float16), hvx_vec_store_u, HVX_OP_CLAMP_SCALAR_F16);
}
static inline void hvx_clamp_scalar_f16_uu(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 min, const _Float16 max, uint32_t n) {
const HVX_Vector min_vec = hvx_vec_splat_f16(min);
const HVX_Vector max_vec = hvx_vec_splat_f16(max);
hvx_scalar_loop_body(HVX_UVector, HVX_UVector, sizeof(_Float16), hvx_vec_store_u, HVX_OP_CLAMP_SCALAR_F16);
}
static inline void hvx_clamp_scalar_f16(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 min, const _Float16 max, const int num_elems) {
if (hex_is_aligned((void *) dst, 128) && hex_is_aligned((void *) src, 128)) {
hvx_clamp_scalar_f16_aa(dst, src, min, max, num_elems);
} else if (hex_is_aligned((void *) dst, 128)) {
hvx_clamp_scalar_f16_au(dst, src, min, max, num_elems);
} else if (hex_is_aligned((void *) src, 128)) {
hvx_clamp_scalar_f16_ua(dst, src, min, max, num_elems);
} else {
hvx_clamp_scalar_f16_uu(dst, src, min, max, num_elems);
}
}
#define HVX_OP_LEAKY_RELU_SCALAR(v) \
({ \
HVX_VectorPred pred_neg = Q6_Q_vcmp_gt_VsfVsf(zero_vec, v); \
HVX_Vector scaled = HVX_OP_MUL_F32(v, ns_vec); \
Q6_V_vmux_QVV(pred_neg, scaled, v); \
})
static inline void hvx_leaky_relu_scalar_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, const float ns, uint32_t n) {
const HVX_Vector zero_vec = hvx_vec_splat_f32(0.0f);
const HVX_Vector ns_vec = hvx_vec_splat_f32(ns);
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
hvx_scalar_loop_body(HVX_Vector, HVX_Vector, sizeof(float), hvx_vec_store_a, HVX_OP_LEAKY_RELU_SCALAR);
}
static inline void hvx_leaky_relu_scalar_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, const float ns, uint32_t n) {
const HVX_Vector zero_vec = hvx_vec_splat_f32(0.0f);
const HVX_Vector ns_vec = hvx_vec_splat_f32(ns);
assert((unsigned long) dst % 128 == 0);
hvx_scalar_loop_body(HVX_Vector, HVX_UVector, sizeof(float), hvx_vec_store_a, HVX_OP_LEAKY_RELU_SCALAR);
}
static inline void hvx_leaky_relu_scalar_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, const float ns, uint32_t n) {
const HVX_Vector zero_vec = hvx_vec_splat_f32(0.0f);
const HVX_Vector ns_vec = hvx_vec_splat_f32(ns);
assert((unsigned long) src % 128 == 0);
hvx_scalar_loop_body(HVX_UVector, HVX_Vector, sizeof(float), hvx_vec_store_u, HVX_OP_LEAKY_RELU_SCALAR);
}
static inline void hvx_leaky_relu_scalar_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, const float ns, uint32_t n) {
const HVX_Vector zero_vec = hvx_vec_splat_f32(0.0f);
const HVX_Vector ns_vec = hvx_vec_splat_f32(ns);
hvx_scalar_loop_body(HVX_UVector, HVX_UVector, sizeof(float), hvx_vec_store_u, HVX_OP_LEAKY_RELU_SCALAR);
}
static inline void hvx_leaky_relu_scalar_f32(uint8_t * restrict dst, const uint8_t * restrict src, const float ns, const int num_elems) {
if (hex_is_aligned((void *) dst, 128) && hex_is_aligned((void *) src, 128)) {
hvx_leaky_relu_scalar_f32_aa(dst, src, ns, num_elems);
} else if (hex_is_aligned((void *) dst, 128)) {
hvx_leaky_relu_scalar_f32_au(dst, src, ns, num_elems);
} else if (hex_is_aligned((void *) src, 128)) {
hvx_leaky_relu_scalar_f32_ua(dst, src, ns, num_elems);
} else {
hvx_leaky_relu_scalar_f32_uu(dst, src, ns, num_elems);
}
}
//
// Abs
//
static inline void hvx_abs_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
HVX_Vector * restrict vdst = (HVX_Vector *) dst;
HVX_Vector * restrict vsrc = (HVX_Vector *) src;
const uint32_t elem_size = sizeof(float);
const uint32_t epv = 128 / elem_size;
const uint32_t nvec = n / epv;
const uint32_t nloe = n % epv;
uint32_t i = 0;
_Pragma("unroll(4)")
for (; i < nvec; i++) {
vdst[i] = hvx_vec_abs_f32(vsrc[i]);
}
if (nloe) {
HVX_Vector v = hvx_vec_abs_f32(vsrc[i]);
hvx_vec_store_a((void *) &vdst[i], nloe * elem_size, v);
}
}
#define hvx_abs_f16_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
const uint32_t elem_size = sizeof(_Float16); \
const uint32_t epv = 128 / elem_size; \
const uint32_t nvec = n / epv; \
const uint32_t nloe = n % epv; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
vdst[i] = hvx_vec_abs_f16(vsrc[i]); \
} \
if (nloe) { \
HVX_Vector v = hvx_vec_abs_f16(vsrc[i]); \
vec_store((void *) &vdst[i], nloe * elem_size, v); \
} \
} while(0)
static inline void hvx_abs_f16_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
hvx_abs_f16_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
}
static inline void hvx_abs_f16_au(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
hvx_abs_f16_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
}
static inline void hvx_abs_f16_ua(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) src % 128 == 0);
hvx_abs_f16_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
}
static inline void hvx_abs_f16_uu(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_abs_f16_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
}
static inline void hvx_abs_f16(uint8_t * restrict dst, const uint8_t * restrict src, const uint32_t num_elems) {
if (hex_is_aligned((void *) dst, 128)) {
if (hex_is_aligned((void *) src, 128)) {
hvx_abs_f16_aa(dst, src, num_elems);
} else {
hvx_abs_f16_au(dst, src, num_elems);
}
} else {
if (hex_is_aligned((void *) src, 128)) {
hvx_abs_f16_ua(dst, src, num_elems);
} else {
hvx_abs_f16_uu(dst, src, num_elems);
}
}
}
//
// Square
//
#define hvx_sqr_f32_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
const uint32_t elem_size = sizeof(float); \
const uint32_t epv = 128 / elem_size; \
const uint32_t nvec = n / epv; \
const uint32_t nloe = n % epv; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
vdst[i] = HVX_OP_MUL_F32(vsrc[i], vsrc[i]); \
} \
if (nloe) { \
HVX_Vector v = HVX_OP_MUL_F32(vsrc[i], vsrc[i]); \
vec_store((void *) &vdst[i], nloe * elem_size, v); \
} \
} while(0)
static inline void hvx_sqr_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
hvx_sqr_f32_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
}
static inline void hvx_sqr_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
hvx_sqr_f32_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
}
static inline void hvx_sqr_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) src % 128 == 0);
hvx_sqr_f32_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
}
static inline void hvx_sqr_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_sqr_f32_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
}
static inline void hvx_sqr_f32(uint8_t * restrict dst, const uint8_t * restrict src, const uint32_t num_elems) {
if (hex_is_aligned((void *) dst, 128)) {
if (hex_is_aligned((void *) src, 128)) {
hvx_sqr_f32_aa(dst, src, num_elems);
} else {
hvx_sqr_f32_au(dst, src, num_elems);
}
} else {
if (hex_is_aligned((void *) src, 128)) {
hvx_sqr_f32_ua(dst, src, num_elems);
} else {
hvx_sqr_f32_uu(dst, src, num_elems);
}
}
}
#define hvx_sqr_f16_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
const uint32_t elem_size = sizeof(_Float16); \
const uint32_t epv = 128 / elem_size; \
const uint32_t nvec = n / epv; \
const uint32_t nloe = n % epv; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
vdst[i] = HVX_OP_MUL_F16(vsrc[i], vsrc[i]); \
} \
if (nloe) { \
HVX_Vector v = HVX_OP_MUL_F16(vsrc[i], vsrc[i]); \
vec_store((void *) &vdst[i], nloe * elem_size, v); \
} \
} while(0)
static inline void hvx_sqr_f16_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
hvx_sqr_f16_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
}
static inline void hvx_sqr_f16_au(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
hvx_sqr_f16_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
}
static inline void hvx_sqr_f16_ua(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) src % 128 == 0);
hvx_sqr_f16_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
}
static inline void hvx_sqr_f16_uu(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_sqr_f16_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
}
static inline void hvx_sqr_f16(uint8_t * restrict dst, const uint8_t * restrict src, const uint32_t num_elems) {
if (hex_is_aligned((void *) dst, 128)) {
if (hex_is_aligned((void *) src, 128)) {
hvx_sqr_f16_aa(dst, src, num_elems);
} else {
hvx_sqr_f16_au(dst, src, num_elems);
}
} else {
if (hex_is_aligned((void *) src, 128)) {
hvx_sqr_f16_ua(dst, src, num_elems);
} else {
hvx_sqr_f16_uu(dst, src, num_elems);
}
}
}
#undef HVX_OP_ADD_F32
#undef HVX_OP_SUB_F32
#undef HVX_OP_MUL_F32
#undef HVX_OP_ADD_F16
#undef HVX_OP_SUB_F16
#undef HVX_OP_MUL_F16
#undef hvx_arith_loop_body
#undef HVX_OP_ADD_SCALAR_F32
#undef HVX_OP_SUB_SCALAR_F32
#undef HVX_OP_MUL_SCALAR_F32
#undef HVX_OP_ADD_SCALAR_F16
#undef HVX_OP_SUB_SCALAR_F16
#undef HVX_OP_MUL_SCALAR_F16
#undef hvx_scalar_loop_body
#undef HVX_OP_MIN_SCALAR
#undef HVX_OP_MAX_SCALAR
#undef HVX_OP_CLAMP_SCALAR
#undef HVX_OP_CLAMP_SCALAR_F16
#undef HVX_OP_LEAKY_RELU_SCALAR
#undef DEFINE_HVX_BINARY_OP_VARIANTS
#undef HVX_BINARY_DISPATCHER
#undef UNUSED
#endif // HVX_ARITH_H

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@@ -0,0 +1,292 @@
#ifndef HVX_BASE_H
#define HVX_BASE_H
#include <stdbool.h>
#include <stdint.h>
#include <math.h>
#include <assert.h>
#include "hex-utils.h"
#include "hvx-types.h"
#define hvx_vmem(A) *((HVX_Vector *)(A))
#define hvx_vmemu(A) *((HVX_UVector *)(A))
static inline void hvx_vec_store_u(void * restrict dst, uint32_t n, HVX_Vector v) {
// Rotate as needed.
v = Q6_V_vlalign_VVR(v, v, (size_t) dst);
uint32_t left_off = (size_t) dst & 127;
uint32_t right_off = left_off + n;
HVX_VectorPred ql_not = Q6_Q_vsetq_R((size_t) dst);
HVX_VectorPred qr = Q6_Q_vsetq2_R(right_off);
if (right_off > 128) {
Q6_vmem_QRIV(qr, (HVX_Vector *) dst + 1, v);
// all 1's
qr = Q6_Q_vcmp_eq_VbVb(v, v);
}
ql_not = Q6_Q_or_QQn(ql_not, qr);
Q6_vmem_QnRIV(ql_not, (HVX_Vector *) dst, v);
}
static inline void hvx_vec_store_a(void * restrict dst, uint32_t n, HVX_Vector v) {
assert((unsigned long) dst % 128 == 0);
HVX_VectorPred m = Q6_Q_or_QQn(Q6_Q_vsetq_R((unsigned long) dst), Q6_Q_vsetq2_R(n));
Q6_vmem_QnRIV(m, (HVX_Vector *) dst, v);
}
static inline HVX_Vector hvx_vec_splat_f32(float v) {
union { float f; uint32_t i; } u = { .f = v };
return Q6_V_vsplat_R(u.i);
}
static inline HVX_Vector hvx_vec_splat_f16(_Float16 v) {
union { __fp16 f; uint16_t i; } u = { .f = v };
return Q6_Vh_vsplat_R(u.i);
}
static inline HVX_Vector hvx_vec_repl4(HVX_Vector v) {
// vdelta control to replicate first 4 bytes across all elements
static const uint8_t __attribute__((aligned(128))) repl[128] = {
0x00, 0x00, 0x00, 0x00, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x20, 0x20, 0x20, 0x20, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x40, 0x40, 0x40, 0x40, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x20, 0x20, 0x20, 0x20, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
};
HVX_Vector ctrl = *(HVX_Vector *) repl;
return Q6_V_vdelta_VV(v, ctrl);
}
static inline float hvx_vec_get_f32(HVX_Vector v) {
float __attribute__((aligned(128))) x;
hvx_vec_store_a(&x, 4, v);
return x;
}
static inline int32_t hvx_vec_get_i32(HVX_Vector v) {
int32_t __attribute__((aligned(128))) x;
hvx_vec_store_a(&x, 4, v);
return x;
}
static inline _Float16 hvx_vec_get_f16(HVX_Vector v) {
_Float16 __attribute__((aligned(128))) x;
hvx_vec_store_a(&x, 2, v);
return x;
}
static inline HVX_Vector hvx_vec_abs_f16(HVX_Vector v) {
// abs by clearing the fp16 sign bit
HVX_Vector mask = Q6_Vh_vsplat_R(0x7fff);
return Q6_V_vand_VV(v, mask);
}
static inline HVX_Vector hvx_vec_neg_f16(HVX_Vector v) {
// neg by setting the fp16 sign bit
HVX_Vector mask = Q6_Vh_vsplat_R(0x8000);
return Q6_V_vxor_VV(v, mask);
}
static inline HVX_Vector hvx_vec_abs_f32(HVX_Vector v) {
// abs by clearing the fp32 sign bit
HVX_Vector mask = Q6_V_vsplat_R(0x7fffffff);
return Q6_V_vand_VV(v, mask);
}
static inline HVX_Vector hvx_vec_neg_f32(HVX_Vector v) {
#if __HVX_ARCH__ > 75
return Q6_Vsf_vfneg_Vsf(v);
#else
// neg by setting the fp32 sign bit
HVX_Vector mask = Q6_V_vsplat_R(0x80000000);
return Q6_V_vxor_VV(v, mask);
#endif // __HVX_ARCH__ > 75
}
static inline HVX_VectorPred hvx_vec_is_nan_f16(HVX_Vector v) {
const HVX_Vector vnan_exp = Q6_Vh_vsplat_R(0x7C00);
const HVX_Vector vnan_frac = Q6_Vh_vsplat_R(0x7FFF);
// get pred of which are NaN, i.e., exponent bits all 1s and fraction bits non 0s
HVX_VectorPred p_exp = Q6_Q_vcmp_eq_VhVh(Q6_V_vand_VV(v, vnan_exp), vnan_exp);
HVX_VectorPred p_frac = Q6_Q_not_Q(Q6_Q_vcmp_eq_VhVh(Q6_V_vand_VV(v, vnan_frac), vnan_exp));
return Q6_Q_and_QQ(p_exp, p_frac);
}
static inline HVX_Vector hvx_vec_f32_to_f16_shuff(HVX_Vector v0, HVX_Vector v1) {
#if __HVX_ARCH__ >= 81
HVX_Vector q0 = Q6_Vqf32_equals_Vsf(v0);
HVX_Vector q1 = Q6_Vqf32_equals_Vsf(v1);
#else
const HVX_Vector zero = Q6_V_vzero();
HVX_Vector q0 = Q6_Vqf32_vadd_VsfVsf(v0, zero);
HVX_Vector q1 = Q6_Vqf32_vadd_VsfVsf(v1, zero);
#endif
return Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(q1, q0));
}
static inline HVX_Vector hvx_vec_f32_to_f16(HVX_Vector v0, HVX_Vector v1) {
return Q6_Vh_vdeal_Vh(hvx_vec_f32_to_f16_shuff(v0, v1));
}
#if __HVX_ARCH__ >= 79
static inline HVX_VectorPair hvx_vec_f16_to_f32_shuff(HVX_Vector v) {
const HVX_Vector one = hvx_vec_splat_f16(1.0);
HVX_VectorPair p = Q6_Wsf_vmpy_VhfVhf(v, one);
return Q6_W_vcombine_VV(Q6_V_hi_W(p), Q6_V_lo_W(p));
}
static inline HVX_VectorPair hvx_vec_f16_to_f32(HVX_Vector v) {
const HVX_Vector one = hvx_vec_splat_f16(1.0);
HVX_VectorPair p = Q6_Wsf_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(v), one);
return Q6_W_vcombine_VV(Q6_V_hi_W(p), Q6_V_lo_W(p));
}
#else
static inline HVX_VectorPair hvx_vec_f16_to_f32_shuff(HVX_Vector v) {
const HVX_Vector one = hvx_vec_splat_f16(1.0);
HVX_VectorPair p = Q6_Wqf32_vmpy_VhfVhf(v, one);
return Q6_W_vcombine_VV(Q6_Vsf_equals_Vqf32(Q6_V_hi_W(p)), Q6_Vsf_equals_Vqf32(Q6_V_lo_W(p)));
}
static inline HVX_VectorPair hvx_vec_f16_to_f32(HVX_Vector v) {
const HVX_Vector one = hvx_vec_splat_f16(1.0);
HVX_VectorPair p = Q6_Wqf32_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(v), one);
return Q6_W_vcombine_VV(Q6_Vsf_equals_Vqf32(Q6_V_hi_W(p)), Q6_Vsf_equals_Vqf32(Q6_V_lo_W(p)));
}
#endif
static inline HVX_Vector hvx_vec_i16_from_hf_rnd_sat(HVX_Vector vin) {
// This looks complicated.
// Ideally should just be Q6_Vh_equals_Vhf(vin)
// but that instruction does not do proper rounding.
// convert to qf32, multiplying by 1.0 in the process.
HVX_VectorPair v32 = Q6_Wqf32_vmpy_VhfVhf(vin, Q6_Vh_vsplat_R(0x3C00));
// 'in-range' values are +/32752.
// add 192K to it, convert to sf
HVX_Vector v192K = Q6_V_vsplat_R(0x48400000);
HVX_Vector vsf_0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_V_lo_W(v32), v192K));
HVX_Vector vsf_1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_V_hi_W(v32), v192K));
// for in-range cases, result is {163858... 229360} so the exponent is always 144.
// if we extract bits 21..0 as a signed quantity, and round 6 bits off, that will be the answer.
// Start by <<10 to get the final 'sign' bit in bit 15...
vsf_0 = Q6_Vw_vasl_VwR(vsf_0, 10);
vsf_1 = Q6_Vw_vasl_VwR(vsf_1, 10);
// now round down to 16
return Q6_Vh_vround_VwVw_sat(vsf_1, vsf_0);
}
#if __HVX_ARCH__ < 79
static inline HVX_VectorPair hvx_vec_mpyacc_f32_f16(HVX_VectorPair acc, HVX_Vector x, HVX_Vector y)
{
HVX_VectorPair m = Q6_Wqf32_vmpy_VhfVhf(x, y);
HVX_Vector a0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_V_lo_W(m), Q6_V_lo_W(acc)));
HVX_Vector a1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_V_hi_W(m), Q6_V_hi_W(acc)));
return Q6_W_vcombine_VV(a1, a0);
}
#else
static inline HVX_VectorPair hvx_vec_mpyacc_f32_f16(HVX_VectorPair acc, HVX_Vector x, HVX_Vector y)
{
return Q6_Wsf_vmpyacc_WsfVhfVhf(acc, x, y);
}
#endif
#if __HVX_ARCH__ < 79
static inline HVX_Vector hvx_vec_add_f16_f16(HVX_Vector a, HVX_Vector b)
{
const HVX_Vector negone = Q6_Vh_vsplat_R(0xBC00); // -1.0 in IEEE FP16
const HVX_Vector one = Q6_Vh_vsplat_R(0x3C00); // 1.0 in IEEE FP16
HVX_VectorPair a_p = Q6_Wqf32_vmpy_VhfVhf(a, one);
HVX_VectorPair b_p = Q6_Wqf32_vmpy_VhfVhf(b, negone);
HVX_Vector a0 = Q6_Vqf32_vsub_Vqf32Vqf32(Q6_V_lo_W(a_p), Q6_V_lo_W(b_p));
HVX_Vector a1 = Q6_Vqf32_vsub_Vqf32Vqf32(Q6_V_hi_W(a_p), Q6_V_hi_W(b_p));
return Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(a1, a0));
}
static inline HVX_Vector hvx_vec_sub_f16_f16(HVX_Vector a, HVX_Vector b)
{
const HVX_Vector negone = Q6_Vh_vsplat_R(0xBC00); // -1.0 in IEEE FP16
const HVX_Vector one = Q6_Vh_vsplat_R(0x3C00); // 1.0 in IEEE FP16
HVX_VectorPair a_p = Q6_Wqf32_vmpy_VhfVhf(a, one);
HVX_VectorPair b_p = Q6_Wqf32_vmpy_VhfVhf(b, negone);
HVX_Vector a0 = Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(a_p), Q6_V_lo_W(b_p));
HVX_Vector a1 = Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_hi_W(a_p), Q6_V_hi_W(b_p));
return Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(a1, a0));
}
static inline HVX_Vector hvx_vec_mul_f16_f16(HVX_Vector a, HVX_Vector b)
{
return Q6_Vhf_equals_Wqf32(Q6_Wqf32_vmpy_VhfVhf(a, b));
}
static inline HVX_Vector hvx_vec_add_f32_f32(HVX_Vector a, HVX_Vector b) {
return Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(a, b));
}
static inline HVX_Vector hvx_vec_sub_f32_f32(HVX_Vector a, HVX_Vector b) {
return Q6_Vsf_equals_Vqf32(Q6_Vqf32_vsub_VsfVsf(a, b));
}
static inline HVX_Vector hvx_vec_mul_f32_f32(HVX_Vector a, HVX_Vector b) {
return Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(a, b));
}
#else
static inline HVX_Vector hvx_vec_add_f16_f16(HVX_Vector a, HVX_Vector b)
{
return Q6_Vhf_vadd_VhfVhf(a, b);
}
static inline HVX_Vector hvx_vec_sub_f16_f16(HVX_Vector a, HVX_Vector b)
{
return Q6_Vhf_vsub_VhfVhf(a, b);
}
static inline HVX_Vector hvx_vec_mul_f16_f16(HVX_Vector a, HVX_Vector b)
{
return Q6_Vhf_vmpy_VhfVhf(a, b);
}
static inline HVX_Vector hvx_vec_add_f32_f32(HVX_Vector a, HVX_Vector b) {
return Q6_Vsf_vadd_VsfVsf(a, b);
}
static inline HVX_Vector hvx_vec_sub_f32_f32(HVX_Vector a, HVX_Vector b) {
return Q6_Vsf_vsub_VsfVsf(a, b);
}
static inline HVX_Vector hvx_vec_mul_f32_f32(HVX_Vector a, HVX_Vector b) {
return Q6_Vsf_vmpy_VsfVsf(a, b);
}
#endif // __HVX_ARCH__ < 79
static inline HVX_Vector hvx_vec_load_act_tile(const uint8_t * y_q, uint32_t kt, HVX_Vector * v_act_all) {
if (kt % 4 == 0) {
*v_act_all = hvx_vmem(y_q + kt * 32);
return *v_act_all;
} else if (kt % 4 == 1) {
return Q6_V_vror_VR(*v_act_all, 32);
} else if (kt % 4 == 2) {
return Q6_V_vror_VR(*v_act_all, 64);
} else {
return Q6_V_vror_VR(*v_act_all, 96);
}
}
#endif /* HVX_BASE_H */

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#ifndef HVX_COPY_H
#define HVX_COPY_H
#include <assert.h>
#include <stddef.h>
#include <stdint.h>
#include "hvx-base.h"
#define hvx_splat_pragma(x) _Pragma(#x)
#define hvx_splat_loop_body(dst_type, vec_store, unroll_cnt) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
\
uint32_t nvec = n / (128 / elem_size); \
uint32_t nloe = n % (128 / elem_size); \
\
uint32_t i = 0; \
\
hvx_splat_pragma(unroll(unroll_cnt)) \
for (; i < nvec; i++) { \
vdst[i] = src; \
} \
if (nloe) { \
vec_store((void *) &vdst[i], nloe * elem_size, src); \
} \
} while(0)
static inline void hvx_splat_a(void * restrict dst, HVX_Vector src, uint32_t n, uint32_t elem_size) {
assert((unsigned long) dst % 128 == 0);
hvx_splat_loop_body(HVX_Vector, hvx_vec_store_a, 4);
}
static inline void hvx_splat_u(void * restrict dst, HVX_Vector src, uint32_t n, uint32_t elem_size) {
hvx_splat_loop_body(HVX_UVector, hvx_vec_store_u, 4);
}
static inline void hvx_splat_f32_a(void * restrict dst, float v, uint32_t n) {
hvx_splat_a(dst, hvx_vec_splat_f32(v), n, sizeof(float));
}
static inline void hvx_splat_f32_u(void * restrict dst, float v, uint32_t n) {
hvx_splat_u(dst, hvx_vec_splat_f32(v), n, sizeof(float));
}
static inline void hvx_splat_f16_a(void * restrict dst, _Float16 v, uint32_t n) {
hvx_splat_u(dst, hvx_vec_splat_f16(v), n, sizeof(__fp16));
}
static inline void hvx_splat_f16_u(void * restrict dst, _Float16 v, uint32_t n) {
hvx_splat_u(dst, hvx_vec_splat_f16(v), n, sizeof(__fp16));
}
static inline void hvx_splat_u16_a(void * restrict dst, uint16_t v, uint32_t n) {
hvx_splat_a(dst, Q6_Vh_vsplat_R(v), n, sizeof(uint16_t));
}
static inline void hvx_splat_u16_u(void * restrict dst, uint16_t v, uint32_t n) {
hvx_splat_u(dst, Q6_Vh_vsplat_R(v), n, sizeof(uint16_t));
}
static inline void hvx_splat_u8_a(void * restrict dst, uint8_t v, uint32_t n) {
hvx_splat_a(dst, Q6_Vb_vsplat_R(v), n, 1);
}
static inline void hvx_splat_u8_u(void * restrict dst, uint8_t v, uint32_t n) {
hvx_splat_u(dst, Q6_Vb_vsplat_R(v), n, 1);
}
#define hvx_copy_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
const uint32_t epv = 128 / elem_size; \
const uint32_t nvec = n / epv; \
const uint32_t nloe = n % epv; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { vdst[i] = vsrc[i]; } \
if (nloe) { \
vec_store((void *) &vdst[i], nloe * elem_size, vsrc[i]); \
} \
} while(0)
// Generic copy routines
static inline void hvx_copy_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n, uint32_t elem_size) {
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
hvx_copy_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
}
static inline void hvx_copy_au(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n, uint32_t elem_size) {
assert((unsigned long) dst % 128 == 0);
hvx_copy_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
}
static inline void hvx_copy_ua(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n, uint32_t elem_size) {
assert((unsigned long) src % 128 == 0);
hvx_copy_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
}
static inline void hvx_copy_uu(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n, uint32_t elem_size) {
hvx_copy_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
}
// copy n fp16 elements : source and destination are aligned to HVX Vector (128)
static inline void hvx_copy_f16_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_copy_aa(dst, src, n, sizeof(__fp16));
}
// copy n fp16 elements : source is aligned, destination is potentially unaligned
static inline void hvx_copy_f16_au(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_copy_au(dst, src, n, sizeof(__fp16));
}
// copy n fp16 elements : source is aligned, destination is potentially unaligned
static inline void hvx_copy_f16_ua(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_copy_ua(dst, src, n, sizeof(__fp16));
}
// copy n fp16 elements : source is aligned, destination is potentially unaligned
static inline void hvx_copy_f16_uu(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_copy_uu(dst, src, n, sizeof(__fp16));
}
// copy n fp32 elements : source and destination are aligned to HVX Vector (128)
static inline void hvx_copy_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_copy_aa(dst, src, n, sizeof(float));
}
// copy n fp32 elements : source is aligned, destination is unaligned
static inline void hvx_copy_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_copy_ua(dst, src, n, sizeof(float));
}
// copy n fp32 elements : source is unaligned, destination is aligned
static inline void hvx_copy_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_copy_au(dst, src, n, sizeof(float));
}
// copy n fp32 elements : source is unaligned, destination unaligned
static inline void hvx_copy_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_copy_uu(dst, src, n, sizeof(float));
}
//// fp32 -> fp16
#define hvx_copy_f16_f32_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
const uint32_t elem_size = sizeof(__fp16); \
const uint32_t epv = 128 / elem_size; \
const uint32_t nvec = n / epv; \
const uint32_t nloe = n % epv; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
vdst[i] = hvx_vec_f32_to_f16(vsrc[i*2+0], vsrc[i*2+1]); \
} \
if (nloe) { \
HVX_Vector v = hvx_vec_f32_to_f16(vsrc[i*2+0], vsrc[i*2+1]); \
vec_store((void *) &vdst[i], nloe * elem_size, v); \
} \
} while(0)
// copy/convert n fp32 elements into n fp16 elements : source is aligned, destination is aligned
static inline void hvx_copy_f16_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
hvx_copy_f16_f32_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
}
// copy/convert n fp32 elements into n fp16 elements : source is unaligned, destination is aligned
static inline void hvx_copy_f16_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
hvx_copy_f16_f32_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
}
// copy/convert n fp32 elements into n fp16 elements : source is aligned, destination is unaligned
static inline void hvx_copy_f16_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) src % 128 == 0);
hvx_copy_f16_f32_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
}
// copy/convert n fp32 elements into n fp16 elements : source is unaligned, destination is unaligned
static inline void hvx_copy_f16_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_copy_f16_f32_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
}
//// fp16 -> fp32
#define hvx_copy_f32_f16_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
const HVX_Vector one = hvx_vec_splat_f16(1.0); \
\
const uint32_t elem_size = sizeof(__fp16); \
const uint32_t epv = 128 / elem_size; \
const uint32_t nvec = n / epv; \
uint32_t nloe = n % epv; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (i = 0; i < nvec; ++i) { \
HVX_VectorPair p = Q6_Wqf32_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(vsrc[i]), one); \
vdst[i*2] = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(p)); \
vdst[i*2+1] = Q6_Vsf_equals_Vqf32(Q6_V_hi_W(p)); \
} \
\
if (nloe) { \
HVX_VectorPair p = Q6_Wqf32_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(vsrc[i]), one); \
\
HVX_Vector vd = Q6_V_lo_W(p); \
i = 2 * i; \
\
if (nloe >= 32) { \
vdst[i] = Q6_Vsf_equals_Vqf32(vd); \
nloe -= 32; ++i; vd = Q6_V_hi_W(p); \
} \
\
if (nloe) { \
vd = Q6_Vsf_equals_Vqf32(vd); \
hvx_vec_store_u(&vdst[i], nloe * sizeof(float), vd); \
} \
} \
} while(0)
// copy/convert n fp16 elements into n fp32 elements : source is aligned, destination is aligned
static inline void hvx_copy_f32_f16_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
hvx_copy_f32_f16_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
}
// copy/convert n fp16 elements into n fp32 elements : source is unaligned, destination is aligned
static inline void hvx_copy_f32_f16_au(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
hvx_copy_f32_f16_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
}
// copy/convert n fp16 elements into n fp32 elements : source is aligned, destination is unaligned
static inline void hvx_copy_f32_f16_ua(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) src % 128 == 0);
hvx_copy_f32_f16_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
}
// copy/convert n fp16 elements into n fp32 elements : source is unaligned, destination is unaligned
static inline void hvx_copy_f32_f16_uu(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_copy_f32_f16_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
}
#endif // HVX_COPY_H

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#ifndef HVX_DIV_H
#define HVX_DIV_H
#include <HAP_farf.h>
#include <math.h>
#include <string.h>
#include <assert.h>
#include <stddef.h>
#include <stdint.h>
#include "hvx-base.h"
#include "hex-utils.h"
#include "hvx-inverse.h"
#include "hvx-arith.h"
#if __HVX_ARCH__ < 79
#define HVX_OP_MUL_F32(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(a, b))
#define HVX_OP_MUL_F16(a, b) Q6_Vhf_equals_Wqf32(Q6_Wqf32_vmpy_VhfVhf(a, b))
#else
#define HVX_OP_MUL_F32(a, b) Q6_Vsf_vmpy_VsfVsf(a, b)
#define HVX_OP_MUL_F16(a, b) Q6_Vhf_vmpy_VhfVhf(a, b)
#endif
// Compute div by scaler in f32. Requires first by expanding fp32 to fp16 and converting the result back to fp32.
static inline HVX_Vector hvx_div_mul_f16_const_using_f32(HVX_Vector vec1_hf, HVX_Vector vec2_sf_const, HVX_Vector vec_hf_one_1_0) {
#if __HVX_ARCH__ < 79
HVX_VectorPair src_to_f32 = Q6_Wqf32_vmpy_VhfVhf(vec1_hf, vec_hf_one_1_0);
HVX_Vector src_to_f32_0 = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(src_to_f32));
HVX_Vector src_to_f32_1 = Q6_Vsf_equals_Vqf32(Q6_V_hi_W(src_to_f32));
#else
HVX_VectorPair src_to_f32 = Q6_Wsf_vmpy_VhfVhf(vec1_hf, vec_hf_one_1_0);
HVX_Vector src_to_f32_0 = Q6_V_lo_W(src_to_f32);
HVX_Vector src_to_f32_1 = Q6_V_hi_W(src_to_f32);
#endif
HVX_Vector div_f32_0 = HVX_OP_MUL_F32(src_to_f32_0, vec2_sf_const);
HVX_Vector div_f32_1 = HVX_OP_MUL_F32(src_to_f32_1, vec2_sf_const);
#if __HVX_ARCH__ < 79
HVX_Vector res = hvx_vec_f32_to_f16(div_f32_0, div_f32_1);
#else
HVX_Vector res = Q6_Vhf_vcvt_VsfVsf(div_f32_0, div_f32_1);
#endif
return res;
}
// Variant for <v79: Use pre-computed f16 reciprocal constant
static inline HVX_Vector hvx_div_mul_f16_const_using_f16(HVX_Vector vec1_hf, HVX_Vector const_inv_hf) {
// Multiply by pre-computed f16 reciprocal constant
return HVX_OP_MUL_F16(vec1_hf, const_inv_hf);
}
#define hvx_div_scaler_f16_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
HVX_Vector hf_one = Q6_Vh_vsplat_R(0x3C00); \
\
const uint32_t nvec = n / VLEN_FP16; \
const uint32_t nloe = n % VLEN_FP16; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
HVX_Vector res; \
if (__HVX_ARCH__ < 79) { \
res = hvx_div_mul_f16_const_using_f16(vsrc[i], val_vec_f16); \
} else { \
res = hvx_div_mul_f16_const_using_f32(vsrc[i], val_vec_f32, hf_one); \
} \
vdst[i] = res; \
} \
if (nloe) { \
HVX_Vector res; \
if (__HVX_ARCH__ < 79) { \
res = hvx_div_mul_f16_const_using_f16(vsrc[i], val_vec_f16); \
} else { \
res = hvx_div_mul_f16_const_using_f32(vsrc[i], val_vec_f32, hf_one); \
} \
vec_store((void *) &vdst[i], nloe * SIZEOF_FP16, res); \
} \
} while(0)
static inline void hvx_div_scalar_f16_aa(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 val, uint32_t n) {
const HVX_Vector val_vec_f32 = hvx_vec_splat_f32(1.0f/((float)val));
const HVX_Vector val_vec_f16 = hvx_vec_splat_f16(1.0f / val);
assert((uintptr_t) dst % 128 == 0);
assert((uintptr_t) src % 128 == 0);
hvx_div_scaler_f16_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
}
static inline void hvx_div_scalar_f16_au(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 val, uint32_t n) {
const HVX_Vector val_vec_f32 = hvx_vec_splat_f32(1.0f/((float)val));
const HVX_Vector val_vec_f16 = hvx_vec_splat_f16(1.0f / val);
assert((uintptr_t) dst % 128 == 0);
hvx_div_scaler_f16_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
}
static inline void hvx_div_scalar_f16_ua(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 val, uint32_t n) {
const HVX_Vector val_vec_f32 = hvx_vec_splat_f32(1.0f/((float)val));
const HVX_Vector val_vec_f16 = hvx_vec_splat_f16(1.0f / val);
assert((uintptr_t) src % 128 == 0);
hvx_div_scaler_f16_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
}
static inline void hvx_div_scalar_f16_uu(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 val, uint32_t n) {
const HVX_Vector val_vec_f32 = hvx_vec_splat_f32(1.0f/((float)val));
const HVX_Vector val_vec_f16 = hvx_vec_splat_f16(1.0f / val);
hvx_div_scaler_f16_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
}
// Compute div by using hvx_vec_inverse_f32_guard. Requires first by exapnding fp32 to fp16 and convert the result back to fp32.
static inline HVX_Vector hvx_vec_div_f16_using_f32(HVX_Vector vec1, HVX_Vector vec2, HVX_Vector f32_nan_inf_mask, HVX_Vector vec_hf_one_1_0) {
#if __HVX_ARCH__ < 79
// Convert first input to fp32
HVX_VectorPair vec1_to_f32 = Q6_Wqf32_vmpy_VhfVhf(vec1, vec_hf_one_1_0); // *1.0
HVX_Vector vec1_to_f32_0 = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(vec1_to_f32));
HVX_Vector vec1_to_f32_1 = Q6_Vsf_equals_Vqf32(Q6_V_hi_W(vec1_to_f32));
// Convert second input to fp32
HVX_VectorPair vec2_to_f32 = Q6_Wqf32_vmpy_VhfVhf(vec2, vec_hf_one_1_0); // *1.0
HVX_Vector vec2_to_f32_0 = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(vec2_to_f32));
HVX_Vector vec2_to_f32_1 = Q6_Vsf_equals_Vqf32(Q6_V_hi_W(vec2_to_f32));
#else
// Convert first input to fp32
HVX_VectorPair vec1_to_f32 = Q6_Wsf_vmpy_VhfVhf(vec1, vec_hf_one_1_0); // *1.0
HVX_Vector vec1_to_f32_0 = Q6_V_lo_W(vec1_to_f32);
HVX_Vector vec1_to_f32_1 = Q6_V_hi_W(vec1_to_f32);
// Convert second input to fp32
HVX_VectorPair vec2_to_f32 = Q6_Wsf_vmpy_VhfVhf(vec2, vec_hf_one_1_0); // *1.0
HVX_Vector vec2_to_f32_0 = Q6_V_lo_W(vec2_to_f32);
HVX_Vector vec2_to_f32_1 = Q6_V_hi_W(vec2_to_f32);
#endif
// Inverse second input in fp32
HVX_Vector vec2_inv_f32_0 = hvx_vec_inverse_f32_guard(vec2_to_f32_0, f32_nan_inf_mask);
HVX_Vector vec2_inv_f32_1 = hvx_vec_inverse_f32_guard(vec2_to_f32_1, f32_nan_inf_mask);
// Multiply first input by inverse of second, in fp32
HVX_Vector div_f32_0 = HVX_OP_MUL_F32(vec1_to_f32_0, vec2_inv_f32_0);
HVX_Vector div_f32_1 = HVX_OP_MUL_F32(vec1_to_f32_1, vec2_inv_f32_1);
// Convert back to fp16
#if __HVX_ARCH__ < 79
HVX_Vector recip = hvx_vec_f32_to_f16(div_f32_0, div_f32_1);
#else
HVX_Vector recip = Q6_Vhf_vcvt_VsfVsf(div_f32_0, div_f32_1);
#endif
return recip;
}
// Hybrid approach: f16 reciprocal for <v79, f32 precision for >=v79
static inline HVX_Vector hvx_vec_hybrid_div_f16(HVX_Vector vec1, HVX_Vector vec2, HVX_Vector f32_nan_inf_mask, HVX_Vector f16_nan_inf_mask, HVX_Vector vec_hf_one_1_0) {
#if __HVX_ARCH__ < 79
// For older architectures, use f16 reciprocal to avoid NaN/-inf issues
HVX_Vector vec2_inv = hvx_vec_inverse_f16_guard(vec2, f16_nan_inf_mask);
return HVX_OP_MUL_F16(vec1, vec2_inv);
#else
return hvx_vec_div_f16_using_f32(vec1, vec2, f32_nan_inf_mask, vec_hf_one_1_0);
#endif
}
#define hvx_div_f16_loop_body(dst_type, src0_type, src1_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src0_type * restrict vsrc0 = (src0_type *) src0; \
src1_type * restrict vsrc1 = (src1_type *) src1; \
\
const HVX_Vector f32_nan_inf_mask = Q6_V_vsplat_R(0x7f800000); \
const HVX_Vector f16_nan_inf_mask = Q6_Vh_vsplat_R(0x7c00); \
const HVX_Vector hf_one = Q6_Vh_vsplat_R(0x3C00); \
\
const uint32_t nvec = n / VLEN_FP16; \
const uint32_t nloe = n % VLEN_FP16; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
HVX_Vector res = hvx_vec_hybrid_div_f16(vsrc0[i], vsrc1[i], \
f32_nan_inf_mask, f16_nan_inf_mask, \
hf_one); \
vdst[i] = res; \
} \
if (nloe) { \
HVX_Vector res = hvx_vec_hybrid_div_f16(vsrc0[i], vsrc1[i], \
f32_nan_inf_mask, f16_nan_inf_mask, \
hf_one); \
vec_store((void *) &vdst[i], nloe * SIZEOF_FP16, res); \
} \
} while(0)
#define hvx_div_f32_loop_body(dst_type, src0_type, src1_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src0_type * restrict vsrc0 = (src0_type *) src0; \
src1_type * restrict vsrc1 = (src1_type *) src1; \
\
const HVX_Vector nan_inf_mask = Q6_V_vsplat_R(0x7f800000); \
\
const uint32_t nvec = n / VLEN_FP32; \
const uint32_t nloe = n % VLEN_FP32; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
HVX_Vector inv_src1 = hvx_vec_inverse_f32_guard(vsrc1[i], nan_inf_mask); \
HVX_Vector res = HVX_OP_MUL_F32(vsrc0[i], inv_src1); \
vdst[i] = res; \
} \
if (nloe) { \
HVX_Vector inv_src1 = hvx_vec_inverse_f32_guard(vsrc1[i], nan_inf_mask); \
HVX_Vector res = HVX_OP_MUL_F32(vsrc0[i], inv_src1); \
vec_store((void *) &vdst[i], nloe * SIZEOF_FP32, res); \
} \
} while(0)
// Generic macro to define alignment permutations for an op
#define DEFINE_HVX_DIV_OP_VARIANTS(OP_NAME, OP_LOOP_BODY) \
static inline void OP_NAME##_aaa(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
assert((uintptr_t) dst % 128 == 0); \
assert((uintptr_t) src0 % 128 == 0); \
assert((uintptr_t) src1 % 128 == 0); \
OP_LOOP_BODY(HVX_Vector, HVX_Vector, HVX_Vector, hvx_vec_store_a); \
} \
static inline void OP_NAME##_aau(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
assert((uintptr_t) dst % 128 == 0); \
assert((uintptr_t) src0 % 128 == 0); \
OP_LOOP_BODY(HVX_Vector, HVX_Vector, HVX_UVector, hvx_vec_store_a); \
} \
static inline void OP_NAME##_aua(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
assert((uintptr_t) dst % 128 == 0); \
assert((uintptr_t) src1 % 128 == 0); \
OP_LOOP_BODY(HVX_Vector, HVX_UVector, HVX_Vector, hvx_vec_store_a); \
} \
static inline void OP_NAME##_auu(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
assert((uintptr_t) dst % 128 == 0); \
OP_LOOP_BODY(HVX_Vector, HVX_UVector, HVX_UVector, hvx_vec_store_a); \
} \
static inline void OP_NAME##_uaa(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
assert((uintptr_t) src0 % 128 == 0); \
assert((uintptr_t) src1 % 128 == 0); \
OP_LOOP_BODY(HVX_UVector, HVX_Vector, HVX_Vector, hvx_vec_store_u); \
} \
static inline void OP_NAME##_uau(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
assert((uintptr_t) src0 % 128 == 0); \
OP_LOOP_BODY(HVX_UVector, HVX_Vector, HVX_UVector, hvx_vec_store_u); \
} \
static inline void OP_NAME##_uua(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
assert((uintptr_t) src1 % 128 == 0); \
OP_LOOP_BODY(HVX_UVector, HVX_UVector, HVX_Vector, hvx_vec_store_u); \
} \
static inline void OP_NAME##_uuu(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
OP_LOOP_BODY(HVX_UVector, HVX_UVector, HVX_UVector, hvx_vec_store_u); \
} \
// Dispatcher logic
#define HVX_DIV_DISPATCHER(OP_NAME) \
static inline void OP_NAME(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, const uint32_t num_elems) { \
if (hex_is_aligned((void *) dst, 128)) { \
if (hex_is_aligned((void *) src0, 128)) { \
if (hex_is_aligned((void *) src1, 128)) OP_NAME##_aaa(dst, src0, src1, num_elems); \
else OP_NAME##_aau(dst, src0, src1, num_elems); \
} else { \
if (hex_is_aligned((void *) src1, 128)) OP_NAME##_aua(dst, src0, src1, num_elems); \
else OP_NAME##_auu(dst, src0, src1, num_elems); \
} \
} else { \
if (hex_is_aligned((void *) src0, 128)) { \
if (hex_is_aligned((void *) src1, 128)) OP_NAME##_uaa(dst, src0, src1, num_elems); \
else OP_NAME##_uau(dst, src0, src1, num_elems); \
} else { \
if (hex_is_aligned((void *) src1, 128)) OP_NAME##_uua(dst, src0, src1, num_elems); \
else OP_NAME##_uuu(dst, src0, src1, num_elems); \
} \
} \
}
DEFINE_HVX_DIV_OP_VARIANTS(hvx_div_f32, hvx_div_f32_loop_body)
DEFINE_HVX_DIV_OP_VARIANTS(hvx_div_f16, hvx_div_f16_loop_body)
HVX_DIV_DISPATCHER(hvx_div_f32)
HVX_DIV_DISPATCHER(hvx_div_f16)
#undef HVX_OP_MUL_F32
#undef HVX_OP_MUL_F16
#endif // HVX_DIV_H

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#ifndef HVX_DUMP_H
#define HVX_DUMP_H
#include <HAP_farf.h>
#include <stdbool.h>
#include <stdint.h>
#include "hex-utils.h"
#include "hvx-types.h"
static void hvx_vec_dump_f16_n(char * pref, HVX_Vector v, uint32_t n) {
HVX_VectorAlias u = { .v = v };
const uint32_t n0 = n / 16;
const uint32_t n1 = n % 16;
int i = 0;
for (; i < n0; i++) {
hex_dump_f16_line(pref, u.fp16 + (16 * i), 16);
}
if (n1) {
hex_dump_f16_line(pref, u.fp16 + (16 * i), n1);
}
}
static void hvx_vec_dump_f16(char * pref, HVX_Vector v) {
hvx_vec_dump_f16_n(pref, v, 64);
}
static void hvx_vec_dump_f32_n(char * pref, HVX_Vector v, uint32_t n) {
HVX_VectorAlias u = { .v = v };
const uint32_t n0 = n / 16;
const uint32_t n1 = n % 16;
int i = 0;
for (; i < n0; i++) {
hex_dump_f32_line(pref, u.fp32 + (16 * i), 16);
}
if (n1) {
hex_dump_f32_line(pref, u.fp32 + (16 * i), n1);
}
}
static void hvx_vec_dump_f32_hmt(char * pref, HVX_Vector v) {
union {
HVX_Vector v;
float d[32];
} u = { .v = v };
FARF(HIGH, "%s: %.6f %.6f %.6f %.6f ... %.6f %.6f %.6f %.6f ... %.6f %.6f %.6f %.6f\n", pref, u.d[0], u.d[1],
u.d[2], u.d[3], u.d[12], u.d[13], u.d[14], u.d[15], u.d[28], u.d[29], u.d[30], u.d[31]);
}
static void hvx_vec_dump_f32(char * pref, HVX_Vector v) {
hvx_vec_dump_f32_n(pref, v, 32);
}
static void hvx_vec_dump_int32(char * pref, HVX_Vector v) {
union {
HVX_Vector v;
int32_t d[32];
} u = { .v = v };
for (int i = 0; i < 32 / 16; i++) {
hex_dump_int32_line(pref, u.d + (16 * i), 16);
}
}
static void hvx_vec_dump_int32_hmt(char * pref, HVX_Vector v) {
union {
HVX_Vector v;
int32_t d[32];
} u = { .v = v };
FARF(HIGH, "%s: %d %d %d %d ... %d %d %d %d ... %d %d %d %d\n", pref, u.d[0], u.d[1], u.d[2], u.d[3], u.d[12],
u.d[13], u.d[14], u.d[15], u.d[28], u.d[29], u.d[30], u.d[31]);
}
static void hvx_vec_dump_int8_hmt(char * pref, HVX_Vector v) {
union {
HVX_Vector v;
int8_t d[128];
} u = { .v = v };
FARF(HIGH, "%s: %d %d %d %d ... %d %d %d %d ... %d %d %d %d\n", pref, u.d[0], u.d[1], u.d[2], u.d[3], u.d[60],
u.d[61], u.d[62], u.d[63], u.d[124], u.d[125], u.d[126], u.d[127]);
}
static void hvx_vec_dump_int8(char * pref, HVX_Vector v) {
union {
HVX_Vector v;
int8_t d[128];
} u = { .v = v };
for (int i = 0; i < 128 / 16; i++) {
hex_dump_int8_line(pref, u.d + (16 * i), 16);
}
}
static void hvx_vec_dump_uint8(char * pref, HVX_Vector v) {
union {
HVX_Vector v;
uint8_t d[128];
} u = { .v = v };
for (int i = 0; i < 128 / 16; i++) {
hex_dump_uint8_line(pref, u.d + (16 * i), 16);
}
}
static bool hvx_vec_eq(HVX_Vector v0, HVX_Vector v1, size_t n) {
typedef union {
HVX_Vector v;
int8_t d[128];
} U;
U u0 = { .v = v0 };
U u1 = { .v = v1 };
for (int i = 0; i < n; i++) {
if (u0.d[i] != u1.d[i]) {
return false;
}
}
return true;
}
#endif /* HVX_DUMP_H */

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#ifndef HVX_EXP_H
#define HVX_EXP_H
#include <stdbool.h>
#include <stdint.h>
#include <math.h>
#include "hvx-base.h"
#include "hvx-floor.h"
#define EXP_COEFF_5 (0x39506967) // 0.000198757 = 1/(7!)
#define EXP_COEFF_4 (0x3AB743CE) // 0.0013982 = 1/(6!)
#define EXP_COEFF_3 (0x3C088908) // 0.00833345 = 1/(5!)
#define EXP_COEFF_2 (0x3D2AA9C1) // 0.416658 = 1/(4!)
#define EXP_COEFF_1 (0x3E2AAAAA) // 0.16666667 = 1/(3!)
#define EXP_COEFF_0 (0x3F000000) // 0.5 = 1/(2!)
#define EXP_LOGN2 (0x3F317218) // ln(2) = 0.6931471805
#define EXP_LOG2E (0x3FB8AA3B) // log2(e) = 1/ln(2) = 1.4426950408
#define EXP_LOG2E_F 1.44269504f
#define EXP_ONE (0x3f800000) // 1.0
#define EXP_RANGE_R (0x42B17218) // ln(FLT_MAX) approx = 88.7228
#define EXP_RANGE_L (0xC2B00000) // -88.0 (approx log(FLT_MIN))
static inline HVX_Vector hvx_vec_exp_f32(HVX_Vector in_vec) {
HVX_Vector z_qf32_v;
HVX_Vector x_v;
HVX_Vector x_qf32_v;
HVX_Vector y_v;
HVX_Vector k_v;
HVX_Vector f_v;
HVX_Vector epsilon_v;
HVX_Vector log2e = Q6_V_vsplat_R(EXP_LOG2E);
HVX_Vector logn2 = Q6_V_vsplat_R(EXP_LOGN2);
HVX_Vector E_const;
HVX_Vector zero_v = Q6_V_vzero();
// exp(x) is approximated as follows:
// f = floor(x/ln(2)) = floor(x*log2(e))
// epsilon = x - f*ln(2)
// exp(x) = exp(epsilon+f*ln(2))
// = exp(epsilon)*exp(f*ln(2))
// = exp(epsilon)*2^f
//
// Since epsilon is close to zero, it can be approximated with its Taylor series:
// exp(x) ~= 1+x+x^2/2!+x^3/3!+...+x^n/n!+...
// Preserving the first eight elements, we get:
// exp(x) ~= 1+x+e0*x^2+e1*x^3+e2*x^4+e3*x^5+e4*x^6+e5*x^7
// = 1+x+(E0+(E1+(E2+(E3+(E4+E5*x)*x)*x)*x)*x)*x^2
HVX_Vector temp_v = in_vec;
// Clamp inputs to (-88.0, 88.0) to avoid overflow/underflow
HVX_VectorPred pred_cap_right = Q6_Q_vcmp_gt_VsfVsf(in_vec, Q6_V_vsplat_R(EXP_RANGE_R));
HVX_VectorPred pred_cap_left = Q6_Q_vcmp_gt_VsfVsf(Q6_V_vsplat_R(EXP_RANGE_L), in_vec);
in_vec = Q6_V_vmux_QVV(pred_cap_right, Q6_V_vsplat_R(EXP_RANGE_R), temp_v);
in_vec = Q6_V_vmux_QVV(pred_cap_left, Q6_V_vsplat_R(EXP_RANGE_L), in_vec);
epsilon_v = Q6_Vqf32_vmpy_VsfVsf(log2e, in_vec);
epsilon_v = Q6_Vsf_equals_Vqf32(epsilon_v);
// f_v is the floating point result and k_v is the integer result
f_v = hvx_vec_floor_f32(epsilon_v);
k_v = hvx_vec_truncate_f32(f_v);
x_qf32_v = Q6_Vqf32_vadd_VsfVsf(in_vec, zero_v);
// x = x - f_v * logn2;
epsilon_v = Q6_Vqf32_vmpy_VsfVsf(f_v, logn2);
x_qf32_v = Q6_Vqf32_vsub_Vqf32Vqf32(x_qf32_v, epsilon_v);
// normalize before every QFloat's vmpy
x_qf32_v = Q6_Vqf32_vadd_Vqf32Vsf(x_qf32_v, zero_v);
x_v = Q6_Vsf_equals_Vqf32(x_qf32_v);
// z = x * x;
z_qf32_v = Q6_Vqf32_vmpy_Vqf32Vqf32(x_qf32_v, x_qf32_v);
z_qf32_v = Q6_Vqf32_vadd_Vqf32Vsf(z_qf32_v, zero_v);
// y = E4 + E5 * x;
E_const = Q6_V_vsplat_R(EXP_COEFF_5);
y_v = Q6_Vqf32_vmpy_VsfVsf(E_const, x_v);
E_const = Q6_V_vsplat_R(EXP_COEFF_4);
y_v = Q6_Vqf32_vadd_Vqf32Vsf(y_v, E_const);
y_v = Q6_Vqf32_vadd_Vqf32Vsf(y_v, zero_v);
// y = E3 + y * x;
E_const = Q6_V_vsplat_R(EXP_COEFF_3);
y_v = Q6_Vqf32_vmpy_Vqf32Vqf32(y_v, x_qf32_v);
y_v = Q6_Vqf32_vadd_Vqf32Vsf(y_v, E_const);
y_v = Q6_Vqf32_vadd_Vqf32Vsf(y_v, zero_v);
// y = E2 + y * x;
E_const = Q6_V_vsplat_R(EXP_COEFF_2);
y_v = Q6_Vqf32_vmpy_Vqf32Vqf32(y_v, x_qf32_v);
y_v = Q6_Vqf32_vadd_Vqf32Vsf(y_v, E_const);
y_v = Q6_Vqf32_vadd_Vqf32Vsf(y_v, zero_v);
// y = E1 + y * x;
E_const = Q6_V_vsplat_R(EXP_COEFF_1);
y_v = Q6_Vqf32_vmpy_Vqf32Vqf32(y_v, x_qf32_v);
y_v = Q6_Vqf32_vadd_Vqf32Vsf(y_v, E_const);
y_v = Q6_Vqf32_vadd_Vqf32Vsf(y_v, zero_v);
// y = E0 + y * x;
E_const = Q6_V_vsplat_R(EXP_COEFF_0);
y_v = Q6_Vqf32_vmpy_Vqf32Vqf32(y_v, x_qf32_v);
y_v = Q6_Vqf32_vadd_Vqf32Vsf(y_v, E_const);
y_v = Q6_Vqf32_vadd_Vqf32Vsf(y_v, zero_v);
// y = x + y * z;
y_v = Q6_Vqf32_vmpy_Vqf32Vqf32(y_v, z_qf32_v);
y_v = Q6_Vqf32_vadd_Vqf32Vqf32(y_v, x_qf32_v);
y_v = Q6_Vqf32_vadd_Vqf32Vsf(y_v, zero_v);
// y = y + 1.0;
y_v = Q6_Vqf32_vadd_Vqf32Vsf(y_v, Q6_V_vsplat_R(EXP_ONE));
// insert exponents
// y = ldexpf(y, k);
// y_v += k_v; // qf32
// modify exponent
y_v = Q6_Vsf_equals_Vqf32(y_v);
// add k_v to the exponent of y_v
HVX_Vector y_v_exponent = Q6_Vw_vasl_VwR(y_v, 1);
y_v_exponent = Q6_Vuw_vlsr_VuwR(y_v_exponent, IEEE_VSF_MANTLEN + 1);
y_v_exponent = Q6_Vw_vadd_VwVw(k_v, y_v_exponent);
// exponent cannot be negative; if overflow is detected, result is set to zero
HVX_VectorPred qy_v_negative_exponent = Q6_Q_vcmp_gt_VwVw(zero_v, y_v_exponent);
y_v = Q6_Vw_vaslacc_VwVwR(y_v, k_v, IEEE_VSF_MANTLEN);
y_v = Q6_V_vmux_QVV(qy_v_negative_exponent, zero_v, y_v);
return y_v;
}
static inline HVX_Vector hvx_vec_exp_f32_guard(HVX_Vector in_vec, HVX_Vector max_exp, HVX_Vector inf) {
const HVX_VectorPred pred0 = Q6_Q_vcmp_gt_VsfVsf(in_vec, max_exp);
HVX_Vector out = hvx_vec_exp_f32(in_vec);
return Q6_V_vmux_QVV(pred0, inf, out);
}
static inline void hvx_exp_f32(uint8_t * restrict dst, const uint8_t * restrict src, const int num_elems, bool negate) {
int left_over = num_elems & (VLEN_FP32 - 1);
int num_elems_whole = num_elems - left_over;
int unaligned_addr = 0;
int unaligned_loop = 0;
if ((0 == hex_is_aligned((void *) src, VLEN)) || (0 == hex_is_aligned((void *) dst, VLEN))) {
unaligned_addr = 1;
}
// assert((0 == unaligned_addr) || (0 == num_elems_whole));
if ((1 == unaligned_addr) && (num_elems_whole != 0)) {
unaligned_loop = 1;
}
HVX_Vector vec_out = Q6_V_vzero();
static const float kInf = INFINITY;
static const float kMaxExp = 88.7228f;
const HVX_Vector max_exp = hvx_vec_splat_f32(kMaxExp);
const HVX_Vector inf = hvx_vec_splat_f32(kInf);
if (0 == unaligned_loop) {
HVX_Vector * p_vec_in1 = (HVX_Vector *) src;
HVX_Vector * p_vec_out = (HVX_Vector *) dst;
#pragma unroll(4)
for (int i = 0; i < num_elems_whole; i += VLEN_FP32) {
if (true == negate) {
HVX_Vector neg_vec_in = hvx_vec_neg_f32(*p_vec_in1++);
*p_vec_out++ = hvx_vec_exp_f32_guard(neg_vec_in, max_exp, inf);
} else {
*p_vec_out++ = hvx_vec_exp_f32_guard(*p_vec_in1++, max_exp, inf);
}
}
} else {
#pragma unroll(4)
for (int i = 0; i < num_elems_whole; i += VLEN_FP32) {
HVX_Vector in = *(HVX_UVector *) (src + i * SIZEOF_FP32);
if (true == negate) {
HVX_Vector neg_vec_in = hvx_vec_neg_f32(in);
*(HVX_UVector *) (dst + i * SIZEOF_FP32) = hvx_vec_exp_f32_guard(neg_vec_in, max_exp, inf);
} else {
*(HVX_UVector *) (dst + i * SIZEOF_FP32) = hvx_vec_exp_f32_guard(in, max_exp, inf);
}
}
}
if (left_over > 0) {
const float * srcf = (float *) src + num_elems_whole;
float * dstf = (float *) dst + num_elems_whole;
HVX_Vector in = *(HVX_UVector *) srcf;
if (true == negate) {
HVX_Vector neg_vec_in = hvx_vec_neg_f32(in);
vec_out = hvx_vec_exp_f32_guard(neg_vec_in, max_exp, inf);
} else {
vec_out = hvx_vec_exp_f32_guard(in, max_exp, inf);
}
hvx_vec_store_u((void *) dstf, left_over * SIZEOF_FP32, vec_out);
}
}
static inline HVX_Vector hvx_vec_exp2_f16(HVX_Vector x_v) {
const HVX_Vector zero_v = Q6_V_vzero();
const HVX_Vector half_hf_v = Q6_Vh_vsplat_R(0x3800); // fp16 0.5
// Clamp input to prevent integer underflow in FP16-to-INT16 conversion
const HVX_Vector v_clamp_min = hvx_vec_splat_f16(-24.0f);
x_v = Q6_Vhf_vmax_VhfVhf(v_clamp_min, x_v);
// k = round_toward_neg_inf(x); f = (float)k; frac = x - f
HVX_Vector x_minus_half = Q6_Vhf_equals_Vqf16(Q6_Vqf16_vsub_VhfVhf(x_v, half_hf_v));
HVX_Vector k_v = Q6_Vh_equals_Vhf(x_minus_half); // truncate to int16
HVX_Vector f_v = Q6_Vhf_equals_Vh(k_v); // back to fp16
HVX_Vector x_qf16 = Q6_Vqf16_vsub_VhfVhf(x_v, f_v); // fractional part in qf16
// Horner: y = ((((E5*x + E4)*x + E3)*x + E2)*x + E1)*x + E0
HVX_Vector y = Q6_Vqf16_vmpy_Vqf16Vqf16(Q6_Vh_vsplat_R(0x5082), x_qf16); // E5*x
y = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x157d)); // + E4
y = Q6_Vqf16_vmpy_Vqf16Vqf16(y, x_qf16);
y = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x20ed)); // + E3
y = Q6_Vqf16_vmpy_Vqf16Vqf16(y, x_qf16);
y = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x2b1b)); // + E2
y = Q6_Vqf16_vmpy_Vqf16Vqf16(y, x_qf16);
y = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x33b0)); // + E1
y = Q6_Vqf16_vmpy_Vqf16Vqf16(y, x_qf16);
y = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x398c)); // + E0
y = Q6_Vqf16_vmpy_Vqf16Vqf16(y, x_qf16); // y = y * x
y = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x3c00)); // + 1.0
// Combine polynomial (mantissa) with integer part (exponent): result = y * 2^k
y = Q6_Vhf_equals_Vqf16(y);
HVX_Vector y_exp = Q6_Vuh_vlsr_VuhR(Q6_Vh_vasl_VhR(y, 1), 11);
y_exp = Q6_Vh_vadd_VhVh(k_v, y_exp);
HVX_VectorPred q_underflow = Q6_Q_vcmp_gt_VhVh(zero_v, y_exp);
y = Q6_Vh_vaslacc_VhVhR(y, k_v, 10);
return Q6_V_vmux_QVV(q_underflow, zero_v, y);
}
#endif /* HVX_EXP_H */

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#ifndef HVX_FA_KERNELS_H
#define HVX_FA_KERNELS_H
#include <assert.h>
#include <math.h>
#include "hvx-utils.h"
// Little inner kernels for HVX
#if __HVX_ARCH__ < 79
#define HVX_OP_ADD_F32(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(a, b))
#define HVX_OP_SUB_F32(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vsub_VsfVsf(a, b))
#define HVX_OP_MUL_F32(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(a, b))
#else
#define HVX_OP_ADD_F32(a, b) Q6_Vsf_vadd_VsfVsf(a, b)
#define HVX_OP_SUB_F32(a, b) Q6_Vsf_vsub_VsfVsf(a, b)
#define HVX_OP_MUL_F32(a, b) Q6_Vsf_vmpy_VsfVsf(a, b)
#endif
// This is a bit of a hack because the compiler is struggling to properly inline
// the default hvx_vec_f32_to_f16 with output into the local array.
static __attribute__((unused)) __attribute__((noinline)) void hvx_vec_f32_to_f16_a(void *ptr, HVX_Vector v0, HVX_Vector v1)
{
*(HVX_Vector *) ptr = hvx_vec_f32_to_f16(v0, v1);
}
// Dot product of two F16 vectors, accumulating to float
static inline void hvx_dot_f16_f16_aa(float * restrict r, const void * restrict x, const void * restrict y, unsigned int n, float s) {
const HVX_Vector * restrict vx = (const HVX_Vector * restrict) x; // fp16
const HVX_Vector * restrict vy = (const HVX_Vector * restrict) y; // fp16
uint32_t nvec = n / VLEN_FP16; // num full fp16 hvx vectors
uint32_t nloe = n % VLEN_FP16; // leftover elements
HVX_VectorPair rsum_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
uint32_t i = 0;
#pragma unroll(4)
for (i = 0; i < nvec; i++) {
rsum_p = hvx_vec_mpyacc_f32_f16(rsum_p, vx[i], vy[i]);
}
if (nloe) {
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 2);
HVX_Vector y_hf = Q6_V_vand_QV(bmask, vy[i]);
HVX_Vector x_hf = Q6_V_vand_QV(bmask, vx[i]);
rsum_p = hvx_vec_mpyacc_f32_f16(rsum_p, x_hf, y_hf);
}
HVX_Vector rsum = HVX_OP_ADD_F32(Q6_V_lo_W(rsum_p), Q6_V_hi_W(rsum_p));
rsum = HVX_OP_MUL_F32(hvx_vec_splat_f32(s), hvx_vec_reduce_sum_f32(rsum));
hvx_vec_store_u(r, 4, rsum);
}
static inline HVX_Vector hvx_dot_f16_f16_aa_rx4(const void * restrict y,
const uint8_t * restrict x,
const size_t stride_x,
const size_t nvec,
const size_t nloe) {
const HVX_Vector * restrict vx0 = (const HVX_Vector * restrict) x; // fp16
const HVX_Vector * restrict vx1 = (const HVX_Vector * restrict) (x + stride_x); // fp16
const HVX_Vector * restrict vx2 = (const HVX_Vector * restrict) (x + stride_x * 2); // fp16
const HVX_Vector * restrict vx3 = (const HVX_Vector * restrict) (x + stride_x * 3); // fp16
const HVX_Vector * restrict vy = (const HVX_Vector * restrict) y; // fp16
HVX_VectorPair rsum0_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
HVX_VectorPair rsum1_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
HVX_VectorPair rsum2_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
HVX_VectorPair rsum3_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
uint32_t i = 0;
for (i = 0; i < nvec; i++) {
HVX_Vector y_hf = vy[i];
HVX_Vector x0_hf = vx0[i];
HVX_Vector x1_hf = vx1[i];
HVX_Vector x2_hf = vx2[i];
HVX_Vector x3_hf = vx3[i];
rsum0_p = hvx_vec_mpyacc_f32_f16(rsum0_p, x0_hf, y_hf);
rsum1_p = hvx_vec_mpyacc_f32_f16(rsum1_p, x1_hf, y_hf);
rsum2_p = hvx_vec_mpyacc_f32_f16(rsum2_p, x2_hf, y_hf);
rsum3_p = hvx_vec_mpyacc_f32_f16(rsum3_p, x3_hf, y_hf);
}
if (nloe) {
// Load x (fp16) and zero-out unused elements
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 2);
HVX_Vector y_hf = Q6_V_vand_QV(bmask, vy[i]);
HVX_Vector x0_hf = Q6_V_vand_QV(bmask, vx0[i]);
HVX_Vector x1_hf = Q6_V_vand_QV(bmask, vx1[i]);
HVX_Vector x2_hf = Q6_V_vand_QV(bmask, vx2[i]);
HVX_Vector x3_hf = Q6_V_vand_QV(bmask, vx3[i]);
rsum0_p = hvx_vec_mpyacc_f32_f16(rsum0_p, x0_hf, y_hf);
rsum1_p = hvx_vec_mpyacc_f32_f16(rsum1_p, x1_hf, y_hf);
rsum2_p = hvx_vec_mpyacc_f32_f16(rsum2_p, x2_hf, y_hf);
rsum3_p = hvx_vec_mpyacc_f32_f16(rsum3_p, x3_hf, y_hf);
}
HVX_Vector rsum0 = HVX_OP_ADD_F32(Q6_V_lo_W(rsum0_p), Q6_V_hi_W(rsum0_p));
HVX_Vector rsum1 = HVX_OP_ADD_F32(Q6_V_lo_W(rsum1_p), Q6_V_hi_W(rsum1_p));
HVX_Vector rsum2 = HVX_OP_ADD_F32(Q6_V_lo_W(rsum2_p), Q6_V_hi_W(rsum2_p));
HVX_Vector rsum3 = HVX_OP_ADD_F32(Q6_V_lo_W(rsum3_p), Q6_V_hi_W(rsum3_p));
HVX_Vector_x4 rsum0123 = { .v = { rsum0, rsum1, rsum2, rsum3 } };
return hvx_vec_reduce_sum_f32x4(rsum0123);
}
static inline HVX_Vector hvx_dot_f16_f16_aa_rx32(const void * restrict y,
const uint8_t * restrict x,
const size_t stride_x,
const size_t n,
float s) {
const size_t nvec = n / VLEN_FP16; // num full fp16 hvx vectors
const size_t nloe = n % VLEN_FP16; // leftover elements
HVX_Vector sums = Q6_V_vzero();
const size_t stride_x_4 = stride_x * 4;
for (uint32_t j = 0; j < VLEN_FP32; j += 4) {
HVX_Vector sums_x4 = hvx_dot_f16_f16_aa_rx4(y, x, stride_x, nvec, nloe);
HVX_VectorPred pred = Q6_Q_vsetq_R(j * SIZEOF_FP32);
sums = Q6_V_vmux_QVV(pred, sums, sums_x4);
x += stride_x_4;
}
return HVX_OP_MUL_F32(hvx_vec_splat_f32(s), sums);
}
// MAD: y (F32) += x (F16) * s (F16)
static inline void hvx_mad_f32_f16_aa(float * restrict y, const void * restrict x, const __fp16 * restrict s, uint32_t n) {
const HVX_Vector * restrict vx0 = (const HVX_Vector *) x;
HVX_VectorPair * restrict vy_p = (HVX_VectorPair *) y;
HVX_Vector * restrict vy = (HVX_Vector *) y;
uint32_t nvec = n / VLEN_FP16; // num full fp16 hvx vectors
uint32_t nloe = n % VLEN_FP16; // leftover elements
HVX_Vector S0 = hvx_vec_splat_f16(*s);
uint32_t i = 0;
#pragma unroll(2)
for (i = 0; i < nvec; ++i) {
vy_p[i] = hvx_vec_mpyacc_f32_f16(vy_p[i], Q6_Vh_vshuff_Vh(vx0[i]), S0);
}
if (nloe) {
HVX_VectorPair xy_p = vy_p[i];
xy_p = hvx_vec_mpyacc_f32_f16(xy_p, Q6_Vh_vshuff_Vh(vx0[i]), S0);
HVX_Vector xy = Q6_V_lo_W(xy_p);
i = 2 * i; // index for vy
if (nloe >= VLEN_FP32) {
vy[i] = xy;
nloe -= VLEN_FP32; ++i; xy = Q6_V_hi_W(xy_p);
}
if (nloe) {
hvx_vec_store_a(&vy[i], nloe * 4, xy);
}
}
}
// MAD: y (F32) += x0 (F16) * s0 (F16) + x1 (F16) * s1 (F16)
static inline void hvx_mad_f32_f16_aa_rx2(float * restrict y, const void * restrict x0, const void * restrict x1,
const __fp16 * restrict s0, const __fp16 * restrict s1, uint32_t n) {
const HVX_Vector * restrict vx0 = (const HVX_Vector *) x0;
const HVX_Vector * restrict vx1 = (const HVX_Vector *) x1;
HVX_VectorPair * restrict vy_p = (HVX_VectorPair *) y;
HVX_Vector * restrict vy = (HVX_Vector *) y;
uint32_t nvec = n / VLEN_FP16; // num full fp16 hvx vectors
uint32_t nloe = n % VLEN_FP16; // leftover elements
HVX_Vector S0 = hvx_vec_splat_f16(*s0);
HVX_Vector S1 = hvx_vec_splat_f16(*s1);
uint32_t i = 0;
#pragma unroll(2)
for (i = 0; i < nvec; ++i) {
vy_p[i] = hvx_vec_mpyacc_f32_f16(vy_p[i], Q6_Vh_vshuff_Vh(vx0[i]), S0);
vy_p[i] = hvx_vec_mpyacc_f32_f16(vy_p[i], Q6_Vh_vshuff_Vh(vx1[i]), S1);
}
if (nloe) {
HVX_VectorPair xy_p = vy_p[i];
xy_p = hvx_vec_mpyacc_f32_f16(xy_p, Q6_Vh_vshuff_Vh(vx0[i]), S0);
xy_p = hvx_vec_mpyacc_f32_f16(xy_p, Q6_Vh_vshuff_Vh(vx1[i]), S1);
HVX_Vector xy = Q6_V_lo_W(xy_p);
i = 2 * i; // index for vy
if (nloe >= VLEN_FP32) {
vy[i] = xy;
nloe -= VLEN_FP32; ++i; xy = Q6_V_hi_W(xy_p);
}
if (nloe) {
hvx_vec_store_a(&vy[i], nloe * 4, xy);
}
}
}
static inline void hvx_mad_f32_f16_aa_vec(float * restrict y, const void * restrict x, HVX_Vector S0, uint32_t n) {
const HVX_Vector * restrict vx0 = (const HVX_Vector *) x;
HVX_VectorPair * restrict vy_p = (HVX_VectorPair *) y;
HVX_Vector * restrict vy = (HVX_Vector *) y;
uint32_t nvec = n / VLEN_FP16; // num full fp16 hvx vectors
uint32_t nloe = n % VLEN_FP16; // leftover elements
uint32_t i = 0;
#pragma unroll(2)
for (i = 0; i < nvec; ++i) {
vy_p[i] = hvx_vec_mpyacc_f32_f16(vy_p[i], Q6_Vh_vshuff_Vh(vx0[i]), S0);
}
if (nloe) {
HVX_VectorPair xy_p = vy_p[i];
xy_p = hvx_vec_mpyacc_f32_f16(xy_p, Q6_Vh_vshuff_Vh(vx0[i]), S0);
HVX_Vector xy = Q6_V_lo_W(xy_p);
i = 2 * i; // index for vy
if (nloe >= VLEN_FP32) {
vy[i] = xy;
nloe -= VLEN_FP32; ++i; xy = Q6_V_hi_W(xy_p);
}
if (nloe) {
hvx_vec_store_a(&vy[i], nloe * 4, xy);
}
}
}
static inline void hvx_mad_f32_f16_aa_rx2_vec(float * restrict y, const void * restrict x0, const void * restrict x1,
HVX_Vector S0, HVX_Vector S1, uint32_t n) {
const HVX_Vector * restrict vx0 = (const HVX_Vector *) x0;
const HVX_Vector * restrict vx1 = (const HVX_Vector *) x1;
HVX_VectorPair * restrict vy_p = (HVX_VectorPair *) y;
HVX_Vector * restrict vy = (HVX_Vector *) y;
uint32_t nvec = n / VLEN_FP16; // num full fp16 hvx vectors
uint32_t nloe = n % VLEN_FP16; // leftover elements
uint32_t i = 0;
#pragma unroll(2)
for (i = 0; i < nvec; ++i) {
vy_p[i] = hvx_vec_mpyacc_f32_f16(vy_p[i], Q6_Vh_vshuff_Vh(vx0[i]), S0);
vy_p[i] = hvx_vec_mpyacc_f32_f16(vy_p[i], Q6_Vh_vshuff_Vh(vx1[i]), S1);
}
if (nloe) {
HVX_VectorPair xy_p = vy_p[i];
xy_p = hvx_vec_mpyacc_f32_f16(xy_p, Q6_Vh_vshuff_Vh(vx0[i]), S0);
xy_p = hvx_vec_mpyacc_f32_f16(xy_p, Q6_Vh_vshuff_Vh(vx1[i]), S1);
HVX_Vector xy = Q6_V_lo_W(xy_p);
i = 2 * i; // index for vy
if (nloe >= VLEN_FP32) {
vy[i] = xy;
nloe -= VLEN_FP32; ++i; xy = Q6_V_hi_W(xy_p);
}
if (nloe) {
hvx_vec_store_a(&vy[i], nloe * 4, xy);
}
}
}
static inline void hvx_scale_vec_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, const uint32_t n, HVX_Vector vs) {
assert((size_t) dst % 128 == 0);
assert((size_t) src % 128 == 0);
const HVX_Vector * restrict vsrc = (const HVX_Vector * restrict) src;
HVX_Vector * restrict vdst = (HVX_Vector * restrict) dst;
const uint32_t nvec = n / VLEN_FP32;
const uint32_t nloe = n % VLEN_FP32;
uint32_t i = 0;
#pragma unroll(4)
for (; i < nvec; ++i) {
vdst[i] = HVX_OP_MUL_F32(vsrc[i], vs);
}
if (nloe) {
hvx_vec_store_a(&vdst[i], nloe * sizeof(float), HVX_OP_MUL_F32(vsrc[i], vs));
}
}
#endif /* HVX_FA_KERNELS_H */

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#ifndef HVX_FLASH_ATTN_H
#define HVX_FLASH_ATTN_H
#include <math.h>
#include "hvx-utils.h"
// Scalar helper to compute a single ALiBi slope.
static inline float alibi_slope(uint32_t h, uint32_t n_head_log2, float m0, float m1) {
return (h < n_head_log2) ? powf(m0, h + 1) : powf(m1, 2 * (h - n_head_log2) + 1);
}
// Vectorized helper to compute 32 ALiBi slopes starting from (kv_head * G).
static inline HVX_Vector hvx_alibi_slopes(
uint32_t kv_head,
uint32_t G,
uint32_t n_head_log2,
float m0,
float m1
) {
static const float ramp_32[32] __attribute__((aligned(128))) = {
0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f,
8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f,
16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f,
24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, 31.0f
};
HVX_Vector v_ramp = hvx_vmem(ramp_32);
HVX_Vector v_h_base = hvx_vec_splat_f32((float)(kv_head * G));
HVX_Vector v_h = hvx_vec_add_f32_f32(v_h_base, v_ramp);
// Compute exponent_m0: h + 1
HVX_Vector v_exp_m0 = hvx_vec_add_f32_f32(v_h, hvx_vec_splat_f32(1.0f));
// Compute exponent_m1: 2 * (h - n_head_log2) + 1
HVX_Vector v_n_head_log2 = hvx_vec_splat_f32((float)n_head_log2);
HVX_Vector v_h_minus = hvx_vec_sub_f32_f32(v_h, v_n_head_log2);
HVX_Vector v_exp_m1 = hvx_vec_add_f32_f32(hvx_vec_mul_f32_f32(hvx_vec_splat_f32(2.0f), v_h_minus), hvx_vec_splat_f32(1.0f));
// Compute powers
HVX_Vector v_pow_m0 = hvx_vec_pow_const_base_f32(m0, v_exp_m0);
HVX_Vector v_pow_m1 = hvx_vec_pow_const_base_f32(m1, v_exp_m1);
// Select based on h < n_head_log2
HVX_VectorPred p_cond = Q6_Q_vcmp_gt_VsfVsf(v_n_head_log2, v_h); // v_n_head_log2 > v_h <=> h < n_head_log2
return Q6_V_vmux_QVV(p_cond, v_pow_m0, v_pow_m1);
}
#endif /* HVX_FLASH_ATTN_H */

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#ifndef HVX_FLOOR_H
#define HVX_FLOOR_H
#include <stdbool.h>
#include <stdint.h>
#include "hvx-base.h"
#define IEEE_VSF_EXPLEN (8)
#define IEEE_VSF_EXPBIAS (127)
#define IEEE_VSF_EXPMASK (0xFF)
#define IEEE_VSF_MANTLEN (23)
#define IEEE_VSF_MANTMASK (0x7FFFFF)
#define IEEE_VSF_MIMPMASK (0x800000)
static inline HVX_Vector hvx_vec_truncate_f32(HVX_Vector in_vec) {
HVX_Vector mask_mant_v = Q6_V_vsplat_R(IEEE_VSF_MANTMASK);
HVX_Vector mask_impl_v = Q6_V_vsplat_R(IEEE_VSF_MIMPMASK);
HVX_Vector const_zero_v = Q6_V_vzero();
HVX_VectorPred q_negative = Q6_Q_vcmp_gt_VwVw(const_zero_v, in_vec);
HVX_Vector expval_v = in_vec >> IEEE_VSF_MANTLEN;
expval_v &= IEEE_VSF_EXPMASK;
expval_v -= IEEE_VSF_EXPBIAS;
// negative exp == fractional value
HVX_VectorPred q_negexp = Q6_Q_vcmp_gt_VwVw(const_zero_v, expval_v);
HVX_Vector rshift_v = IEEE_VSF_MANTLEN - expval_v; // fractional bits - exp shift
HVX_Vector mant_v = in_vec & mask_mant_v; // obtain mantissa
HVX_Vector vout = Q6_Vw_vadd_VwVw(mant_v, mask_impl_v); // add implicit 1.0
vout = Q6_Vw_vasr_VwVw(vout, rshift_v); // shift to obtain truncated integer
vout = Q6_V_vmux_QVV(q_negexp, const_zero_v, vout); // expval<0 -> 0
HVX_Vector neg_vout = -vout;
vout = Q6_V_vmux_QVV(q_negative, neg_vout, vout); // handle negatives
return (vout);
}
static inline HVX_Vector hvx_vec_floor_f32(HVX_Vector in_vec) {
HVX_Vector mask_mant_v = Q6_V_vsplat_R(IEEE_VSF_MANTMASK);
HVX_Vector mask_impl_v = Q6_V_vsplat_R(IEEE_VSF_MIMPMASK);
HVX_Vector const_mnlen_v = Q6_V_vsplat_R(IEEE_VSF_MANTLEN);
HVX_Vector const_zero_v = Q6_V_vzero();
HVX_Vector const_negone_v = Q6_V_vsplat_R(0xbf800000); // -1 IEEE vsf
HVX_VectorPred q_negative = Q6_Q_vcmp_gt_VwVw(const_zero_v, in_vec);
HVX_Vector expval_v = in_vec >> IEEE_VSF_MANTLEN;
expval_v &= IEEE_VSF_EXPMASK;
expval_v -= IEEE_VSF_EXPBIAS;
HVX_VectorPred q_negexp = Q6_Q_vcmp_gt_VwVw(const_zero_v, expval_v);
HVX_VectorPred q_expltmn = Q6_Q_vcmp_gt_VwVw(const_mnlen_v, expval_v);
HVX_VectorPred q_negexp_pos = Q6_Q_vcmp_gtand_QVwVw(q_negexp, in_vec, const_zero_v);
HVX_VectorPred q_negexp_neg = Q6_Q_vcmp_gtand_QVwVw(q_negexp, const_zero_v, in_vec);
// if expval < 0 (q_negexp) // <0, floor is 0
// if vin > 0
// floor = 0
// if vin < 0
// floor = -1
// if expval < mant_len (q_expltmn) // >0, but fraction may exist
// get sign (q_negative)
// mask >> expval // fraction bits to mask off
// vout = ~(mask) // apply mask to remove fraction
// if (qneg) // negative floor is one less (more, sign bit for neg)
// vout += ((impl_mask) >> expval)
// if (mask && vin)
// vout = vin
// else // already an integer
// ; // no change
// compute floor
mask_mant_v >>= expval_v;
HVX_Vector neg_addin_v = mask_impl_v >> expval_v;
HVX_Vector vout_neg_addin = Q6_Vw_vadd_VwVw(in_vec, neg_addin_v);
HVX_Vector vout = Q6_V_vmux_QVV(q_negative, vout_neg_addin, in_vec);
HVX_Vector mask_chk_v = Q6_V_vand_VV(in_vec, mask_mant_v); // chk if bits set
HVX_VectorPred q_integral = Q6_Q_vcmp_eq_VwVw(const_zero_v, mask_chk_v);
HVX_Vector not_mask_v = Q6_V_vnot_V(mask_mant_v); // frac bits to clear
HVX_Vector vfrfloor_v = Q6_V_vand_VV(vout, not_mask_v); // clear frac bits
vout = in_vec;
vout = Q6_V_vmux_QVV(q_expltmn, vfrfloor_v, vout); // expval<mant
vout = Q6_V_vmux_QVV(q_integral, in_vec, vout); // integral values
vout = Q6_V_vmux_QVV(q_negexp_pos, const_zero_v, vout); // expval<0 x>0 -> 0
vout = Q6_V_vmux_QVV(q_negexp_neg, const_negone_v, vout); // expval<0 x<0 -> -1
return vout;
}
#endif /* HVX_FLOOR_H */

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#ifndef HVX_INVERSE_H
#define HVX_INVERSE_H
#include <HAP_farf.h>
#include <math.h>
#include <string.h>
#include <assert.h>
#include <stddef.h>
#include <stdint.h>
#include "hvx-base.h"
// ====================================================
// FUNCTION: 1/(x+1) y(0) = 1, y(0.5) = 0.6667, y(1) = 0.5
// Order:3; continuity: True; Ends forced: True
// Mode: unsigned; Result fractional bits: 14
// Peak Error: 1.1295e-04 Rms Error: 2.8410e-05 Mean Error: 1.1370e-05
// 32769 -32706 31252 -10589
// 32590 -30635 22793 -4493
// 32066 -27505 16481 -2348
// 31205 -24054 11849 -1306
static inline HVX_Vector hvx_vec_recip_xp1_O3_unsigned(HVX_Vector vx) {
// input is 0..0xffff representing 0.0 .. 1.0
HVX_Vector p;
p = Q6_Vh_vlut4_VuhPh(vx, 0xFAE6F6D4EE73D6A3ull);
p = Q6_Vh_vmpa_VhVhVuhPuh_sat(p, vx, 0x2E49406159097A14ull);
p = Q6_Vh_vmps_VhVhVuhPuh_sat(p, vx, 0x5DF66B7177AB7FC2ull);
p = Q6_Vh_vmpa_VhVhVuhPuh_sat(p, vx, 0x79E57D427F4E8001ull);
return p; // signed result, 14 fractional bits
}
// Find reciprocal of fp16.
// (1) first, convert to fp32, multiplying by 1.0; this is done to
// handle denormals. Ignoring sign and zero, result should be at
// least 5.9604645e-08 (32-bit code 0x33800000) and at most 131008 (0x47ffe000)
// (exponent in range [103,143])
// (2) extract the mantissa into 16-bit unsigned; find reciprocal using a fitted poly
// (3) put this, along with '253-exp' (exp from (1)) together to make an qf32
// (4) convert that to fp16
// (5) put sign back in. Also, if the original value (w/o sign) was <0x81, replace
// the result with the max value.
static inline HVX_Vector hvx_vec_inverse_f16(HVX_Vector vals) {
HVX_Vector em_mask = Q6_Vh_vsplat_R(0x7FFF);
HVX_Vector avals = Q6_V_vand_VV(vals, em_mask);
HVX_VectorPred is_neg = Q6_Q_vcmp_gt_VhVh(avals, vals);
// is too small to 1/x ? for 'standard' fp16, this would be 0x101
HVX_VectorPred is_small = Q6_Q_vcmp_gt_VhVh(Q6_Vh_vsplat_R(0x101), avals);
HVX_VectorPair to_qf32 = Q6_Wqf32_vmpy_VhfVhf(avals, Q6_Vh_vsplat_R(0x3C00)); // *1.0
HVX_Vector to_f32_0 = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(to_qf32));
HVX_Vector to_f32_1 = Q6_Vsf_equals_Vqf32(Q6_V_hi_W(to_qf32));
// bits 22..13 contain the mantissa now (w/o hidden bit); move to bit 14..5 of a 16-bit vector
HVX_Vector mant_u16 = Q6_Vh_vshuffo_VhVh(Q6_Vw_vasl_VwR(to_f32_1, 9), Q6_Vw_vasl_VwR(to_f32_0, 9));
// likewise extract the upper 16 from each, containing the exponents in range 103..142
HVX_Vector exp_u16 = Q6_Vh_vshuffo_VhVh(to_f32_1, to_f32_0);
//Get exponent in IEEE 32-bit representation
exp_u16 = Q6_Vuh_vlsr_VuhR(exp_u16, 7);
// so, mant_u16 contains an unbiased mantissa in upper 10 bits of each u16 lane
// We can consider it to be x-1.0, with 16 fractional bits, where 'x' is in range [1.0,2.0)
// Use poly to transform to 1/x, with 14 fractional bits
//
HVX_Vector rm = hvx_vec_recip_xp1_O3_unsigned(mant_u16);
HVX_Vector vcl0 = Q6_Vuh_vcl0_Vuh(rm); //count leading zeros
// Get mantissa for 16-bit representation
HVX_Vector mant_recip = Q6_V_vand_VV(Q6_Vh_vasr_VhR(Q6_Vh_vasl_VhVh(rm, vcl0), 5), Q6_Vh_vsplat_R(0x03FF));
//Compute Reciprocal Exponent
HVX_Vector exp_recip =
Q6_Vh_vsub_VhVh(Q6_Vh_vsub_VhVh(Q6_Vh_vsplat_R(254), exp_u16), Q6_Vh_vsub_VhVh(vcl0, Q6_Vh_vsplat_R(1)));
//Convert it for 16-bit representation
exp_recip = Q6_Vh_vadd_VhVh_sat(Q6_Vh_vsub_VhVh(exp_recip, Q6_Vh_vsplat_R(127)), Q6_Vh_vsplat_R(15));
exp_recip = Q6_Vh_vasl_VhR(exp_recip, 10);
//Merge exponent and mantissa for reciprocal
HVX_Vector recip = Q6_V_vor_VV(exp_recip, mant_recip);
// map 'small' inputs to standard largest value 0x7bff
recip = Q6_V_vmux_QVV(is_small, Q6_Vh_vsplat_R(0x7bff), recip);
// add sign back
recip = Q6_V_vandor_VQR(recip, is_neg, 0x80008000);
return recip;
}
static inline HVX_Vector hvx_vec_inverse_f32(HVX_Vector v_sf) {
HVX_Vector inv_aprox_sf = Q6_V_vsplat_R(0x7EEEEBB3);
HVX_Vector two_sf = hvx_vec_splat_f32(2.0);
// First approximation
HVX_Vector i_sf = Q6_Vw_vsub_VwVw(inv_aprox_sf, v_sf);
HVX_Vector r_qf;
// Refine
r_qf = Q6_Vqf32_vmpy_VsfVsf(
i_sf, Q6_Vsf_equals_Vqf32(Q6_Vqf32_vsub_VsfVsf(two_sf, Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(i_sf, v_sf)))));
r_qf = Q6_Vqf32_vmpy_Vqf32Vqf32(
r_qf, Q6_Vqf32_vsub_VsfVsf(two_sf, Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(r_qf), v_sf))));
r_qf = Q6_Vqf32_vmpy_Vqf32Vqf32(
r_qf, Q6_Vqf32_vsub_VsfVsf(two_sf, Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(r_qf), v_sf))));
return Q6_Vsf_equals_Vqf32(r_qf);
}
static inline HVX_Vector hvx_vec_inverse_f32_guard(HVX_Vector v_sf, HVX_Vector nan_inf_mask) {
HVX_Vector out = hvx_vec_inverse_f32(v_sf);
HVX_Vector masked_out = Q6_V_vand_VV(out, nan_inf_mask);
const HVX_VectorPred pred = Q6_Q_vcmp_eq_VwVw(nan_inf_mask, masked_out);
return Q6_V_vmux_QVV(pred, Q6_V_vzero(), out);
}
#define hvx_inverse_f32_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
const HVX_Vector nan_inf_mask = Q6_V_vsplat_R(0x7f800000); \
\
const uint32_t nvec = n / VLEN_FP32; \
const uint32_t nloe = n % VLEN_FP32; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
vdst[i] = hvx_vec_inverse_f32_guard(vsrc[i], nan_inf_mask); \
} \
if (nloe) { \
HVX_Vector v = hvx_vec_inverse_f32_guard(vsrc[i], nan_inf_mask); \
vec_store((void *) &vdst[i], nloe * SIZEOF_FP32, v); \
} \
} while(0)
static inline HVX_Vector hvx_vec_inverse_f16_guard(HVX_Vector v_sf, HVX_Vector nan_inf_mask) {
HVX_Vector out = hvx_vec_inverse_f16(v_sf);
HVX_Vector masked_out = Q6_V_vand_VV(out, nan_inf_mask);
const HVX_VectorPred pred = Q6_Q_vcmp_eq_VhVh(nan_inf_mask, masked_out);
return Q6_V_vmux_QVV(pred, Q6_V_vzero(), out);
}
#define hvx_inverse_f16_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
const HVX_Vector nan_inf_mask = Q6_Vh_vsplat_R(0x7c00); \
\
const uint32_t nvec = n / VLEN_FP16; \
const uint32_t nloe = n % VLEN_FP16; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
vdst[i] = hvx_vec_inverse_f16_guard(vsrc[i], nan_inf_mask); \
} \
if (nloe) { \
HVX_Vector v = hvx_vec_inverse_f16_guard(vsrc[i], nan_inf_mask); \
vec_store((void *) &vdst[i], nloe * SIZEOF_FP16, v); \
} \
} while(0)
// Generic macro to define alignment permutations for an op
#define DEFINE_HVX_INV_OP_VARIANTS(OP_NAME, OP_LOOP_BODY) \
static inline void OP_NAME##_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) { \
assert((uintptr_t) dst % 128 == 0); \
assert((uintptr_t) src % 128 == 0); \
OP_LOOP_BODY(HVX_Vector, HVX_Vector, hvx_vec_store_a); \
} \
static inline void OP_NAME##_au(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) { \
assert((uintptr_t) dst % 128 == 0); \
OP_LOOP_BODY(HVX_Vector, HVX_UVector, hvx_vec_store_a); \
} \
static inline void OP_NAME##_ua(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) { \
assert((uintptr_t) src % 128 == 0); \
OP_LOOP_BODY(HVX_UVector, HVX_Vector, hvx_vec_store_u); \
} \
static inline void OP_NAME##_uu(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) { \
OP_LOOP_BODY(HVX_UVector, HVX_UVector, hvx_vec_store_u); \
} \
// Dispatcher logic
#define HVX_INV_DISPATCHER(OP_NAME) \
static inline void OP_NAME(uint8_t * restrict dst, const uint8_t * restrict src, const uint32_t num_elems) { \
if (hex_is_aligned((void *) dst, 128) && hex_is_aligned((void *) src, 128)) { \
OP_NAME##_aa(dst, src, num_elems); \
} else if (hex_is_aligned((void *) dst, 128)) { \
OP_NAME##_au(dst, src, num_elems); \
} else if (hex_is_aligned((void *) src, 128)) { \
OP_NAME##_ua(dst, src, num_elems); \
} else { \
OP_NAME##_uu(dst, src, num_elems); \
} \
}
DEFINE_HVX_INV_OP_VARIANTS(hvx_inverse_f32, hvx_inverse_f32_loop_body)
DEFINE_HVX_INV_OP_VARIANTS(hvx_inverse_f16, hvx_inverse_f16_loop_body)
HVX_INV_DISPATCHER(hvx_inverse_f32)
HVX_INV_DISPATCHER(hvx_inverse_f16)
#endif // HVX_INVERSE_H

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#ifndef HVX_LOG_H
#define HVX_LOG_H
#include "hvx-base.h"
// Approximates ln(x) element-wise for float vectors.
// x must contain positive float elements.
// Uses Abramowitz & Stegun polynomial approximation 4.1.44 for ln(1+y) over [0, 1].
static inline HVX_Vector hvx_vec_log_f32(HVX_Vector x) {
// x = m * 2^e, where m in [1, 2)
HVX_Vector biased_e = Q6_Vuw_vlsr_VuwR(x, 23);
HVX_Vector e_int = Q6_Vw_vsub_VwVw(biased_e, Q6_V_vsplat_R(127));
HVX_Vector e_float = Q6_Vsf_equals_Vw(e_int);
// Extract mantissa and set exponent to 127 (which represents float value in [1.0, 2.0))
HVX_Vector mant_mask = Q6_V_vsplat_R(0x007FFFFF);
HVX_Vector exp_127 = Q6_V_vsplat_R(0x3F800000);
HVX_Vector m = Q6_V_vor_VV(Q6_V_vand_VV(x, mant_mask), exp_127);
// y = m - 1.0f, y in [0, 1)
HVX_Vector y = hvx_vec_sub_f32_f32(m, hvx_vec_splat_f32(1.0f));
// Abramowitz & Stegun 4.1.44 polynomial approximation of ln(1+y)
HVX_Vector c;
HVX_Vector res;
c = hvx_vec_splat_f32(-0.0064535442f);
res = hvx_vec_mul_f32_f32(y, c);
c = hvx_vec_splat_f32(0.0360884937f);
res = hvx_vec_add_f32_f32(res, c);
res = hvx_vec_mul_f32_f32(y, res);
c = hvx_vec_splat_f32(-0.0953293897f);
res = hvx_vec_add_f32_f32(res, c);
res = hvx_vec_mul_f32_f32(y, res);
c = hvx_vec_splat_f32(0.1676540711f);
res = hvx_vec_add_f32_f32(res, c);
res = hvx_vec_mul_f32_f32(y, res);
c = hvx_vec_splat_f32(-0.2407338084f);
res = hvx_vec_add_f32_f32(res, c);
res = hvx_vec_mul_f32_f32(y, res);
c = hvx_vec_splat_f32(0.3317990258f);
res = hvx_vec_add_f32_f32(res, c);
res = hvx_vec_mul_f32_f32(y, res);
c = hvx_vec_splat_f32(-0.4998741238f);
res = hvx_vec_add_f32_f32(res, c);
res = hvx_vec_mul_f32_f32(y, res);
c = hvx_vec_splat_f32(0.9999964239f);
res = hvx_vec_add_f32_f32(res, c);
res = hvx_vec_mul_f32_f32(y, res);
// ln(x) = e * ln(2) + ln(1+y)
HVX_Vector ln2 = hvx_vec_splat_f32(0.69314718056f);
HVX_Vector term_e = hvx_vec_mul_f32_f32(e_float, ln2);
return hvx_vec_add_f32_f32(term_e, res);
}
static inline void hvx_log_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
HVX_Vector * restrict vdst = (HVX_Vector *) dst;
HVX_Vector * restrict vsrc = (HVX_Vector *) src;
const uint32_t elem_size = sizeof(float);
const uint32_t epv = 128 / elem_size;
const uint32_t nvec = n / epv;
const uint32_t nloe = n % epv;
uint32_t i = 0;
_Pragma("unroll(4)")
for (; i < nvec; i++) {
vdst[i] = hvx_vec_log_f32(vsrc[i]);
}
if (nloe) {
HVX_Vector v = hvx_vec_log_f32(vsrc[i]);
hvx_vec_store_a((void *) &vdst[i], nloe * elem_size, v);
}
}
// Compute log(x) for f16 by promoting to f32, applying hvx_vec_log_f32, and narrowing back.
static inline void hvx_log_f16_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
HVX_Vector * restrict vdst = (HVX_Vector *) dst;
HVX_Vector * restrict vsrc = (HVX_Vector *) src;
const uint32_t nvec = n / VLEN_FP16;
const uint32_t nloe = n % VLEN_FP16;
uint32_t i = 0;
_Pragma("unroll(4)")
for (; i < nvec; i++) {
HVX_VectorPair p = hvx_vec_f16_to_f32(vsrc[i]);
HVX_Vector r0 = hvx_vec_log_f32(Q6_V_lo_W(p));
HVX_Vector r1 = hvx_vec_log_f32(Q6_V_hi_W(p));
vdst[i] = hvx_vec_f32_to_f16(r0, r1);
}
if (nloe) {
HVX_VectorPair p = hvx_vec_f16_to_f32(vsrc[i]);
HVX_Vector r0 = hvx_vec_log_f32(Q6_V_lo_W(p));
HVX_Vector r1 = hvx_vec_log_f32(Q6_V_hi_W(p));
HVX_Vector v = hvx_vec_f32_to_f16(r0, r1);
hvx_vec_store_a((void *) &vdst[i], nloe * SIZEOF_FP16, v);
}
}
#endif /* HVX_LOG_H */

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#ifndef HVX_NORM_H
#define HVX_NORM_H
#include <stdint.h>
#include "hvx-base.h"
#include "hvx-reduce.h"
#include "hvx-inverse.h"
#include "hvx-sqrt.h"
#include "hvx-repl.h"
static inline void hvx_fast_rms_norm_f32(const uint8_t * restrict src,
uint8_t * restrict dst,
const int num_elems,
float epsilon) {
const HVX_Vector * restrict v_src = (HVX_Vector *) src;
HVX_Vector * restrict v_dst = (HVX_Vector *) dst;
const int nvec = num_elems / VLEN_FP32; // number of full vectors
const int nloe = num_elems % VLEN_FP32; // leftover elements
// Compute sum of squares for full vectors
HVX_Vector sum_v = Q6_V_vsplat_R(0x00000000);
HVX_Vector epsilon_v = hvx_vec_splat_f32(epsilon);
#pragma unroll(4)
for (int i = 0; i < nvec; i++) {
HVX_Vector v1 = v_src[i];
HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, v1);
sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, v2);
}
// Handle tail elements using vectorized ops with masking
if (nloe > 0) {
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 4);
HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, v1);
sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, v2);
}
// Reduce HVX sum
sum_v = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_v));
HVX_Vector t_v = hvx_vec_splat_f32((float) num_elems);
HVX_Vector denom_v = hvx_vec_inverse_f32(t_v);
HVX_Vector mean_v = Q6_Vqf32_vmpy_VsfVsf(sum_v, denom_v);
HVX_Vector mean_epsilon_v = Q6_Vqf32_vadd_Vqf32Vsf(mean_v, epsilon_v);
// Scale full vectors
HVX_Vector scale_v = hvx_vec_rsqrt_f32(Q6_Vsf_equals_Vqf32(mean_epsilon_v));
#pragma unroll(4)
for (int i = 0; i < nvec; i++) {
HVX_Vector v1 = v_src[i];
HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, scale_v);
v_dst[i] = Q6_Vsf_equals_Vqf32(v2);
}
// Handle tail elements using vectorized ops with masking
if (nloe > 0) {
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 4);
HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, scale_v);
HVX_Vector result = Q6_Vsf_equals_Vqf32(v2);
// Store with masking to avoid overwriting memory beyond the tensor
hvx_vec_store_a(&v_dst[nvec], nloe * 4, result);
}
}
static inline void hvx_fast_rms_norm_mul_f32(const uint8_t * restrict src,
const uint8_t * restrict weight,
uint8_t * restrict dst,
const int num_elems,
float epsilon) {
const HVX_Vector * restrict v_src = (const HVX_Vector *) src;
const HVX_Vector * restrict v_weight = (const HVX_Vector *) weight;
HVX_Vector * restrict v_dst = (HVX_Vector *) dst;
const int nvec = num_elems / VLEN_FP32; // number of full vectors
const int nloe = num_elems % VLEN_FP32; // leftover elements
// Compute sum of squares for full vectors
HVX_Vector sum_v = Q6_V_vsplat_R(0x00000000);
HVX_Vector epsilon_v = hvx_vec_splat_f32(epsilon);
#pragma unroll(4)
for (int i = 0; i < nvec; i++) {
HVX_Vector v1 = v_src[i];
HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, v1);
sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, v2);
}
// Handle tail elements using vectorized ops with masking
if (nloe > 0) {
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 4);
HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, v1);
sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, v2);
}
// Reduce HVX sum
sum_v = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_v));
HVX_Vector t_v = hvx_vec_splat_f32((float) num_elems);
HVX_Vector denom_v = hvx_vec_inverse_f32(t_v);
HVX_Vector mean_v = Q6_Vqf32_vmpy_VsfVsf(sum_v, denom_v);
HVX_Vector mean_epsilon_v = Q6_Vqf32_vadd_Vqf32Vsf(mean_v, epsilon_v);
// Scale and multiply
HVX_Vector scale_v = hvx_vec_rsqrt_f32(Q6_Vsf_equals_Vqf32(mean_epsilon_v));
#pragma unroll(4)
for (int i = 0; i < nvec; i++) {
HVX_Vector v1 = v_src[i];
HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, scale_v);
HVX_Vector v3 = Q6_Vsf_equals_Vqf32(v2);
HVX_Vector result = Q6_Vqf32_vmpy_VsfVsf(v3, v_weight[i]);
v_dst[i] = Q6_Vsf_equals_Vqf32(result);
}
// Handle tail elements using vectorized ops with masking
if (nloe > 0) {
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 4);
HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, scale_v);
HVX_Vector v3 = Q6_Vsf_equals_Vqf32(v2);
HVX_Vector result = Q6_Vqf32_vmpy_VsfVsf(v3, v_weight[nvec]);
HVX_Vector res_v = Q6_Vsf_equals_Vqf32(result);
// Store with masking to avoid overwriting memory beyond the tensor
hvx_vec_store_a(&v_dst[nvec], nloe * 4, res_v);
}
}
static inline void hvx_fast_norm_f32(const uint8_t * restrict src,
uint8_t * restrict dst,
const int num_elems,
float epsilon) {
const HVX_Vector * restrict v_src = (HVX_Vector *) src;
HVX_Vector * restrict v_dst = (HVX_Vector *) dst;
const int nvec = num_elems / VLEN_FP32; // number of full vectors
const int nloe = num_elems % VLEN_FP32; // leftover elements
// Compute sum of squares and sum of values for full vectors
HVX_Vector sum_sq_v = Q6_V_vsplat_R(0x00000000);
HVX_Vector sum_x_v = Q6_V_vsplat_R(0x00000000);
HVX_Vector epsilon_v = hvx_vec_splat_f32(epsilon);
#pragma unroll(4)
for (int i = 0; i < nvec; i++) {
HVX_Vector v1 = v_src[i];
HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, v1);
sum_sq_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_sq_v, v2);
sum_x_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_x_v, Q6_Vqf32_vadd_VsfVsf(v1, Q6_V_vzero()));
}
// Handle tail elements using vectorized ops with masking
if (nloe > 0) {
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 4);
HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, v1);
sum_sq_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_sq_v, v2);
sum_x_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_x_v, Q6_Vqf32_vadd_VsfVsf(v1, Q6_V_vzero()));
}
// Reduce HVX sums
sum_sq_v = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_sq_v));
sum_x_v = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_x_v));
HVX_Vector t_v = hvx_vec_splat_f32((float) num_elems);
HVX_Vector denom_v = hvx_vec_inverse_f32(t_v);
HVX_Vector mean_sq_v = Q6_Vqf32_vmpy_VsfVsf(sum_sq_v, denom_v);
HVX_Vector mean_x_v = Q6_Vqf32_vmpy_VsfVsf(sum_x_v, denom_v);
HVX_Vector mean_x_sq_v = Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(mean_x_v), Q6_Vsf_equals_Vqf32(mean_x_v));
HVX_Vector var_v = Q6_Vqf32_vsub_Vqf32Vqf32(mean_sq_v, mean_x_sq_v);
HVX_Vector var_epsilon_v = Q6_Vqf32_vadd_Vqf32Vsf(var_v, epsilon_v);
// scale = rsqrt(variance + epsilon), mean_x broadcast for subtraction
HVX_Vector scale_v = hvx_vec_rsqrt_f32(Q6_Vsf_equals_Vqf32(var_epsilon_v));
HVX_Vector mean_x_b = hvx_vec_repl_f32(Q6_Vsf_equals_Vqf32(mean_x_v));
#pragma unroll(4)
for (int i = 0; i < nvec; i++) {
HVX_Vector v1 = v_src[i];
HVX_Vector v2 = Q6_Vqf32_vsub_VsfVsf(v1, mean_x_b);
HVX_Vector v3 = Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(v2), scale_v);
v_dst[i] = Q6_Vsf_equals_Vqf32(v3);
}
// Handle tail elements using vectorized ops with masking
if (nloe > 0) {
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 4);
HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
HVX_Vector v2 = Q6_Vqf32_vsub_VsfVsf(v1, mean_x_b);
HVX_Vector v3 = Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(v2), scale_v);
HVX_Vector result = Q6_Vsf_equals_Vqf32(v3);
// Store with masking to avoid overwriting memory beyond the tensor
hvx_vec_store_a(&v_dst[nvec], nloe * 4, result);
}
}
static inline void hvx_fast_l2_norm_f32(const uint8_t * restrict src,
uint8_t * restrict dst,
const int num_elems,
float epsilon) {
const HVX_Vector * restrict v_src = (HVX_Vector *) src;
HVX_Vector * restrict v_dst = (HVX_Vector *) dst;
HVX_Vector sum_v = hvx_vec_splat_f32(0.0f);
const int nvec = num_elems / VLEN_FP32;
const int nloe = num_elems % VLEN_FP32;
#pragma unroll(4)
for (int i = 0; i < nvec; i++) {
HVX_Vector v1 = v_src[i];
HVX_Vector sq = Q6_Vqf32_vmpy_VsfVsf(v1, v1);
sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, sq);
}
// Include tail elements in the sum-of-squares using a predicate mask
if (nloe > 0) {
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 4);
HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
HVX_Vector sq = Q6_Vqf32_vmpy_VsfVsf(v1, v1);
sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, sq);
}
// Compute scale = 1/fmax(sqrt(sum), epsilon) entirely in HVX registers.
// hvx_vec_rsqrt_f32 + hvx_vec_inverse_f32 avoids scalar extraction.
HVX_Vector sum_sf = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_v));
HVX_Vector rsqrt_v = hvx_vec_rsqrt_f32(sum_sf); // 1/sqrt(sum)
HVX_Vector sqrt_v = hvx_vec_inverse_f32(rsqrt_v); // sqrt(sum)
HVX_Vector epsilon_v = hvx_vec_splat_f32(epsilon);
HVX_Vector denom_v = Q6_Vsf_vmax_VsfVsf(sqrt_v, epsilon_v); // fmax(sqrt(sum), epsilon)
HVX_Vector scale_v = hvx_vec_inverse_f32(denom_v); // 1/fmax(sqrt(sum), epsilon)
#pragma unroll(4)
for (int i = 0; i < nvec; i++) {
HVX_Vector v1 = v_src[i];
v_dst[i] = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(v1, scale_v));
}
if (nloe > 0) {
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 4);
HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
HVX_Vector result = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(v1, scale_v));
hvx_vec_store_a(&v_dst[nvec], nloe * 4, result);
}
}
// F16 norm kernels: reduce and scale in f32 (via promote/narrow), matching the
// precision-preserving pattern used by the flash-attn f16 kernels.
static inline void hvx_fast_rms_norm_f16(const uint8_t * restrict src,
uint8_t * restrict dst,
const int num_elems,
float epsilon) {
const HVX_Vector * restrict v_src = (HVX_Vector *) src;
HVX_Vector * restrict v_dst = (HVX_Vector *) dst;
const int nvec = num_elems / VLEN_FP16; // number of full f16 vectors
const int nloe = num_elems % VLEN_FP16; // leftover elements
HVX_Vector sum_v = Q6_V_vsplat_R(0x00000000);
HVX_Vector epsilon_v = hvx_vec_splat_f32(epsilon);
#pragma unroll(4)
for (int i = 0; i < nvec; i++) {
HVX_VectorPair p = hvx_vec_f16_to_f32(v_src[i]);
HVX_Vector p0 = Q6_V_lo_W(p);
HVX_Vector p1 = Q6_V_hi_W(p);
sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, Q6_Vqf32_vmpy_VsfVsf(p0, p0));
sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, Q6_Vqf32_vmpy_VsfVsf(p1, p1));
}
if (nloe > 0) {
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * SIZEOF_FP16);
HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
HVX_VectorPair p = hvx_vec_f16_to_f32(v1);
HVX_Vector p0 = Q6_V_lo_W(p);
HVX_Vector p1 = Q6_V_hi_W(p);
sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, Q6_Vqf32_vmpy_VsfVsf(p0, p0));
sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, Q6_Vqf32_vmpy_VsfVsf(p1, p1));
}
sum_v = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_v));
HVX_Vector t_v = hvx_vec_splat_f32((float) num_elems);
HVX_Vector denom_v = hvx_vec_inverse_f32(t_v);
HVX_Vector mean_v = Q6_Vqf32_vmpy_VsfVsf(sum_v, denom_v);
HVX_Vector mean_epsilon_v = Q6_Vqf32_vadd_Vqf32Vsf(mean_v, epsilon_v);
HVX_Vector scale_v = hvx_vec_rsqrt_f32(Q6_Vsf_equals_Vqf32(mean_epsilon_v));
#pragma unroll(4)
for (int i = 0; i < nvec; i++) {
HVX_VectorPair p = hvx_vec_f16_to_f32(v_src[i]);
HVX_Vector r0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(p), scale_v));
HVX_Vector r1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(p), scale_v));
v_dst[i] = hvx_vec_f32_to_f16(r0, r1);
}
if (nloe > 0) {
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * SIZEOF_FP16);
HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
HVX_VectorPair p = hvx_vec_f16_to_f32(v1);
HVX_Vector r0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(p), scale_v));
HVX_Vector r1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(p), scale_v));
HVX_Vector result = hvx_vec_f32_to_f16(r0, r1);
hvx_vec_store_a(&v_dst[nvec], nloe * SIZEOF_FP16, result);
}
}
static inline void hvx_fast_norm_f16(const uint8_t * restrict src,
uint8_t * restrict dst,
const int num_elems,
float epsilon) {
const HVX_Vector * restrict v_src = (HVX_Vector *) src;
HVX_Vector * restrict v_dst = (HVX_Vector *) dst;
const int nvec = num_elems / VLEN_FP16;
const int nloe = num_elems % VLEN_FP16;
HVX_Vector sum_sq_v = Q6_V_vsplat_R(0x00000000);
HVX_Vector sum_x_v = Q6_V_vsplat_R(0x00000000);
HVX_Vector epsilon_v = hvx_vec_splat_f32(epsilon);
#pragma unroll(4)
for (int i = 0; i < nvec; i++) {
HVX_VectorPair p = hvx_vec_f16_to_f32(v_src[i]);
HVX_Vector p0 = Q6_V_lo_W(p);
HVX_Vector p1 = Q6_V_hi_W(p);
sum_sq_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_sq_v, Q6_Vqf32_vmpy_VsfVsf(p0, p0));
sum_sq_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_sq_v, Q6_Vqf32_vmpy_VsfVsf(p1, p1));
sum_x_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_x_v, Q6_Vqf32_vadd_VsfVsf(p0, Q6_V_vzero()));
sum_x_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_x_v, Q6_Vqf32_vadd_VsfVsf(p1, Q6_V_vzero()));
}
if (nloe > 0) {
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * SIZEOF_FP16);
HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
HVX_VectorPair p = hvx_vec_f16_to_f32(v1);
HVX_Vector p0 = Q6_V_lo_W(p);
HVX_Vector p1 = Q6_V_hi_W(p);
sum_sq_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_sq_v, Q6_Vqf32_vmpy_VsfVsf(p0, p0));
sum_sq_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_sq_v, Q6_Vqf32_vmpy_VsfVsf(p1, p1));
sum_x_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_x_v, Q6_Vqf32_vadd_VsfVsf(p0, Q6_V_vzero()));
sum_x_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_x_v, Q6_Vqf32_vadd_VsfVsf(p1, Q6_V_vzero()));
}
sum_sq_v = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_sq_v));
sum_x_v = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_x_v));
HVX_Vector t_v = hvx_vec_splat_f32((float) num_elems);
HVX_Vector denom_v = hvx_vec_inverse_f32(t_v);
HVX_Vector mean_sq_v = Q6_Vqf32_vmpy_VsfVsf(sum_sq_v, denom_v);
HVX_Vector mean_x_v = Q6_Vqf32_vmpy_VsfVsf(sum_x_v, denom_v);
HVX_Vector mean_x_sq_v = Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(mean_x_v), Q6_Vsf_equals_Vqf32(mean_x_v));
HVX_Vector var_v = Q6_Vqf32_vsub_Vqf32Vqf32(mean_sq_v, mean_x_sq_v);
HVX_Vector var_epsilon_v = Q6_Vqf32_vadd_Vqf32Vsf(var_v, epsilon_v);
HVX_Vector scale_v = hvx_vec_rsqrt_f32(Q6_Vsf_equals_Vqf32(var_epsilon_v));
HVX_Vector mean_x_b = hvx_vec_repl_f32(Q6_Vsf_equals_Vqf32(mean_x_v));
#pragma unroll(4)
for (int i = 0; i < nvec; i++) {
HVX_VectorPair p = hvx_vec_f16_to_f32(v_src[i]);
HVX_Vector d0 = Q6_Vqf32_vsub_VsfVsf(Q6_V_lo_W(p), mean_x_b);
HVX_Vector d1 = Q6_Vqf32_vsub_VsfVsf(Q6_V_hi_W(p), mean_x_b);
HVX_Vector r0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(d0), scale_v));
HVX_Vector r1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(d1), scale_v));
v_dst[i] = hvx_vec_f32_to_f16(r0, r1);
}
if (nloe > 0) {
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * SIZEOF_FP16);
HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
HVX_VectorPair p = hvx_vec_f16_to_f32(v1);
HVX_Vector d0 = Q6_Vqf32_vsub_VsfVsf(Q6_V_lo_W(p), mean_x_b);
HVX_Vector d1 = Q6_Vqf32_vsub_VsfVsf(Q6_V_hi_W(p), mean_x_b);
HVX_Vector r0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(d0), scale_v));
HVX_Vector r1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(d1), scale_v));
HVX_Vector result = hvx_vec_f32_to_f16(r0, r1);
hvx_vec_store_a(&v_dst[nvec], nloe * SIZEOF_FP16, result);
}
}
static inline void hvx_fast_l2_norm_f16(const uint8_t * restrict src,
uint8_t * restrict dst,
const int num_elems,
float epsilon) {
const HVX_Vector * restrict v_src = (HVX_Vector *) src;
HVX_Vector * restrict v_dst = (HVX_Vector *) dst;
const int nvec = num_elems / VLEN_FP16;
const int nloe = num_elems % VLEN_FP16;
HVX_Vector sum_v = hvx_vec_splat_f32(0.0f);
#pragma unroll(4)
for (int i = 0; i < nvec; i++) {
HVX_VectorPair p = hvx_vec_f16_to_f32(v_src[i]);
HVX_Vector p0 = Q6_V_lo_W(p);
HVX_Vector p1 = Q6_V_hi_W(p);
sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, Q6_Vqf32_vmpy_VsfVsf(p0, p0));
sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, Q6_Vqf32_vmpy_VsfVsf(p1, p1));
}
if (nloe > 0) {
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * SIZEOF_FP16);
HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
HVX_VectorPair p = hvx_vec_f16_to_f32(v1);
HVX_Vector p0 = Q6_V_lo_W(p);
HVX_Vector p1 = Q6_V_hi_W(p);
sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, Q6_Vqf32_vmpy_VsfVsf(p0, p0));
sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, Q6_Vqf32_vmpy_VsfVsf(p1, p1));
}
HVX_Vector sum_sf = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_v));
HVX_Vector rsqrt_v = hvx_vec_rsqrt_f32(sum_sf);
HVX_Vector sqrt_v = hvx_vec_inverse_f32(rsqrt_v);
HVX_Vector epsilon_v = hvx_vec_splat_f32(epsilon);
HVX_Vector denom_v = Q6_Vsf_vmax_VsfVsf(sqrt_v, epsilon_v);
HVX_Vector scale_v = hvx_vec_inverse_f32(denom_v);
#pragma unroll(4)
for (int i = 0; i < nvec; i++) {
HVX_VectorPair p = hvx_vec_f16_to_f32(v_src[i]);
HVX_Vector r0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(p), scale_v));
HVX_Vector r1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(p), scale_v));
v_dst[i] = hvx_vec_f32_to_f16(r0, r1);
}
if (nloe > 0) {
HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * SIZEOF_FP16);
HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
HVX_VectorPair p = hvx_vec_f16_to_f32(v1);
HVX_Vector r0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(p), scale_v));
HVX_Vector r1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(p), scale_v));
HVX_Vector result = hvx_vec_f32_to_f16(r0, r1);
hvx_vec_store_a(&v_dst[nvec], nloe * SIZEOF_FP16, result);
}
}
#endif // HVX_NORM_H

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#ifndef HVX_POW_H
#define HVX_POW_H
#include <math.h>
#include "hvx-base.h"
#include "hvx-exp.h"
#include "hvx-log.h"
// Approximates base^exponent element-wise for float vectors.
// base must be a positive constant. exponent is an HVX f32 vector.
// Uses base^x = exp(x * ln(base)).
static inline HVX_Vector hvx_vec_pow_const_base_f32(float base, HVX_Vector exponent) {
float ln_base = logf(base);
HVX_Vector ln_base_v = hvx_vec_splat_f32(ln_base);
HVX_Vector x = hvx_vec_mul_f32_f32(exponent, ln_base_v);
static const float kInf = INFINITY;
static const float kMaxExp = 88.7228f;
const HVX_Vector max_exp = hvx_vec_splat_f32(kMaxExp);
const HVX_Vector inf = hvx_vec_splat_f32(kInf);
return hvx_vec_exp_f32_guard(x, max_exp, inf);
}
// Approximates base^exponent element-wise for float vectors.
// base and exponent are HVX f32 vectors. base elements must be positive.
// Uses base^exponent = exp(exponent * ln(base)).
static inline HVX_Vector hvx_vec_pow_f32(HVX_Vector base, HVX_Vector exponent) {
HVX_Vector ln_base = hvx_vec_log_f32(base);
HVX_Vector x = hvx_vec_mul_f32_f32(exponent, ln_base);
static const float kInf = INFINITY;
static const float kMaxExp = 88.7228f;
const HVX_Vector max_exp = hvx_vec_splat_f32(kMaxExp);
const HVX_Vector inf = hvx_vec_splat_f32(kInf);
return hvx_vec_exp_f32_guard(x, max_exp, inf);
}
#endif /* HVX_POW_H */

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#ifndef HVX_QUANT_H
#define HVX_QUANT_H
#include <math.h>
#include <stdint.h>
#include <string.h>
#include "hvx-arith.h"
#include "hvx-base.h"
#include "hvx-reduce.h"
#include "hvx-repl.h"
#include "hvx-utils.h"
#ifndef GGML_COMMON_DECL_C
#define GGML_COMMON_DECL_C
#endif
#include "ggml-common.h"
#include "ggml-impl.h"
static inline void hvx_quantize_row_q8_0_f32(void * restrict dst_ptr, const float * restrict src_ptr, int n) {
const int nb = n / QK8_0;
block_q8_0 * dst = (block_q8_0 *) dst_ptr;
HVX_Vector zero = Q6_V_vzero();
int i = 0;
for (; i + 3 < nb; i += 4) {
HVX_Vector * vx = (HVX_Vector *) (src_ptr + i * QK8_0);
HVX_Vector vmax0_sf = hvx_vec_reduce_max_f32(hvx_vec_abs_f32(vx[0]));
HVX_Vector vmax1_sf = hvx_vec_reduce_max_f32(hvx_vec_abs_f32(vx[1]));
HVX_Vector vmax2_sf = hvx_vec_reduce_max_f32(hvx_vec_abs_f32(vx[2]));
HVX_Vector vmax3_sf = hvx_vec_reduce_max_f32(hvx_vec_abs_f32(vx[3]));
HVX_Vector vx0_qf = Q6_Vqf32_vsub_VsfVsf(vx[0], zero);
HVX_Vector vx1_qf = Q6_Vqf32_vsub_VsfVsf(vx[1], zero);
HVX_Vector vx2_qf = Q6_Vqf32_vsub_VsfVsf(vx[2], zero);
HVX_Vector vx3_qf = Q6_Vqf32_vsub_VsfVsf(vx[3], zero);
HVX_Vector vmax0_qf = Q6_Vqf32_vsub_VsfVsf(vmax0_sf, zero);
HVX_Vector vmax1_qf = Q6_Vqf32_vsub_VsfVsf(vmax1_sf, zero);
HVX_Vector vmax2_qf = Q6_Vqf32_vsub_VsfVsf(vmax2_sf, zero);
HVX_Vector vmax3_qf = Q6_Vqf32_vsub_VsfVsf(vmax3_sf, zero);
HVX_Vector vmax01_hf = Q6_Vh_vdeal_Vh(Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(vmax1_qf, vmax0_qf)));
HVX_Vector vmax23_hf = Q6_Vh_vdeal_Vh(Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(vmax3_qf, vmax2_qf)));
HVX_Vector vx01_hf = Q6_Vh_vdeal_Vh(Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(vx1_qf, vx0_qf)));
HVX_Vector vx23_hf = Q6_Vh_vdeal_Vh(Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(vx3_qf, vx2_qf)));
HVX_Vector vd01_qf16 = Q6_Vqf16_vmpy_VhfVhf(vmax01_hf, Q6_Vh_vsplat_R(0x2008)); // 1.0 / 127.0
HVX_Vector vd23_qf16 = Q6_Vqf16_vmpy_VhfVhf(vmax23_hf, Q6_Vh_vsplat_R(0x2008)); // 1.0 / 127.0
HVX_Vector vd01_hf = Q6_Vhf_equals_Vqf16(vd01_qf16);
HVX_Vector vd23_hf = Q6_Vhf_equals_Vqf16(vd23_qf16);
HVX_Vector vd01_inv_hf = hvx_vec_inverse_f16(vd01_hf);
HVX_Vector vd23_inv_hf = hvx_vec_inverse_f16(vd23_hf);
vx01_hf = Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(vx01_hf, vd01_inv_hf));
vx23_hf = Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(vx23_hf, vd23_inv_hf));
HVX_Vector vx01_i16 = hvx_vec_i16_from_hf_rnd_sat(vx01_hf);
HVX_Vector vx23_i16 = hvx_vec_i16_from_hf_rnd_sat(vx23_hf);
HVX_Vector vx_i8 = Q6_Vb_vpack_VhVh_sat(vx23_i16, vx01_i16);
hvx_vec_store_u(&dst[i + 0].d, 2, vd01_hf);
hvx_vec_store_u(dst[i + 0].qs, 32, vx_i8);
hvx_vec_store_u(&dst[i + 1].d, 2, Q6_V_vror_VR(vd01_hf, 64));
hvx_vec_store_u(dst[i + 1].qs, 32, Q6_V_vror_VR(vx_i8, 32));
hvx_vec_store_u(&dst[i + 2].d, 2, vd23_hf);
hvx_vec_store_u(dst[i + 2].qs, 32, Q6_V_vror_VR(vx_i8, 64));
hvx_vec_store_u(&dst[i + 3].d, 2, Q6_V_vror_VR(vd23_hf, 64));
hvx_vec_store_u(dst[i + 3].qs, 32, Q6_V_vror_VR(vx_i8, 96));
}
for (; i < nb; i++) {
const float * block_src = src_ptr + i * QK8_0;
HVX_Vector vx = *(const HVX_UVector *) block_src;
HVX_Vector v_abs = hvx_vec_abs_f32(vx);
HVX_Vector v_max = hvx_vec_reduce_max_f32(v_abs);
float amax = hvx_vec_get_f32(v_max);
const float d = amax / 127.0f;
const float id = d ? (1.0f / d) : 0.0f;
dst[i].d = GGML_FP32_TO_FP16(d);
HVX_Vector vid = hvx_vec_splat_f32(id);
HVX_Vector v_scaled = hvx_vec_mul_f32_f32(vx, vid);
HVX_Vector v_scaled_qf = Q6_Vqf32_vsub_VsfVsf(v_scaled, zero);
HVX_Vector v_scaled_hf = Q6_Vh_vdeal_Vh(Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(zero, v_scaled_qf)));
HVX_Vector v_i16 = hvx_vec_i16_from_hf_rnd_sat(v_scaled_hf);
HVX_Vector v_i8 = Q6_Vb_vpack_VhVh_sat(zero, v_i16);
hvx_vec_store_u(dst[i].qs, 32, v_i8);
}
}
static inline void hvx_dequantize_row_q8_0_f32(float * restrict dst_ptr, const void * restrict src_ptr, int n) {
const int nb = n / QK8_0;
const block_q8_0 * src = (const block_q8_0 *) src_ptr;
for (int i = 0; i < nb; i++) {
HVX_Vector vd_f16 = Q6_Vh_vsplat_R(*(const int16_t *) &src[i].d);
HVX_VectorPair vp_f32 = hvx_vec_f16_to_f32(vd_f16);
HVX_Vector vd = Q6_V_lo_W(vp_f32);
HVX_Vector vq_i8 = *(const HVX_UVector *) src[i].qs;
HVX_VectorPair p16 = Q6_Wh_vunpack_Vb(vq_i8);
HVX_Vector v_i16 = Q6_V_lo_W(p16);
HVX_VectorPair p32 = Q6_Ww_vunpack_Vh(v_i16);
HVX_Vector v_i32 = Q6_V_lo_W(p32);
HVX_Vector v_f32 = Q6_Vsf_equals_Vw(v_i32);
HVX_Vector res = hvx_vec_mul_f32_f32(v_f32, vd);
float * block_dst = dst_ptr + i * QK8_0;
hvx_vmem(block_dst) = res;
}
}
static inline void hvx_dequantize_row_q8_0_f16(__fp16 * restrict dst_ptr, const void * restrict src_ptr, int n) {
const int nb = n / QK8_0;
const block_q8_0 * src = (const block_q8_0 *) src_ptr;
for (int i = nb - 1; i >= 0; i--) {
HVX_Vector vd_f16 = Q6_Vh_vsplat_R(*(const int16_t *) &src[i].d);
HVX_VectorPair vp_f32 = hvx_vec_f16_to_f32(vd_f16);
HVX_Vector vd = Q6_V_lo_W(vp_f32);
HVX_Vector vq_i8 = *(const HVX_UVector *) src[i].qs;
HVX_VectorPair p16 = Q6_Wh_vunpack_Vb(vq_i8);
HVX_Vector v_i16 = Q6_V_lo_W(p16);
HVX_VectorPair p32 = Q6_Ww_vunpack_Vh(v_i16);
HVX_Vector v_i32 = Q6_V_lo_W(p32);
HVX_Vector v_f32 = Q6_Vsf_equals_Vw(v_i32);
HVX_Vector res_f32 = hvx_vec_mul_f32_f32(v_f32, vd);
HVX_Vector res_f16 = hvx_vec_f32_to_f16(res_f32, Q6_V_vzero());
__fp16 * block_dst = dst_ptr + i * QK8_0;
hvx_vec_store_u(block_dst, QK8_0 * sizeof(__fp16), res_f16);
}
}
static inline void hvx_dequantize_row_f16_f32(float * restrict dst_ptr, const void * restrict src_ptr, int n) {
const int nb = n / 32;
const _Float16 * src = (const _Float16 *) src_ptr;
for (int i = 0; i < nb; i++) {
HVX_Vector v_f16 = *(const HVX_UVector *) (src + i * 32);
HVX_VectorPair vp_f32 = hvx_vec_f16_to_f32(v_f16);
HVX_Vector res = Q6_V_lo_W(vp_f32);
float * block_dst = dst_ptr + i * 32;
hvx_vmem(block_dst) = res;
}
}
#endif // HVX_QUANT_H

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#ifndef HVX_REDUCE_H
#define HVX_REDUCE_H
#include <math.h>
#include <stdbool.h>
#include <stdint.h>
#include <assert.h>
#include "hex-utils.h"
#include "hvx-base.h"
#include "hvx-types.h"
static inline HVX_Vector hvx_vec_reduce_sum_n_i32(HVX_Vector in, unsigned int n) {
unsigned int total = n * 4; // total vec nbytes
unsigned int width = 4; // int32
HVX_Vector sum = in, sum_t;
while (width < total) {
sum_t = Q6_V_vror_VR(sum, width); // rotate right
sum = Q6_Vw_vadd_VwVw(sum_t, sum); // elementwise sum
width = width << 1;
}
return sum;
}
static inline HVX_Vector hvx_vec_reduce_sum_i32(HVX_Vector in) {
return hvx_vec_reduce_sum_n_i32(in, 32);
}
static inline HVX_Vector hvx_vec_reduce_sum_n_qf32(HVX_Vector in, unsigned int n) {
unsigned int total = n * 4; // total vec nbytes
unsigned int width = 4; // fp32 nbytes
HVX_Vector sum = in, sum_t;
while (width < total) {
sum_t = Q6_V_vror_VR(Q6_Vsf_equals_Vqf32(sum), width); // rotate right
sum = Q6_Vqf32_vadd_Vqf32Vsf(sum, sum_t); // elementwise sum
width = width << 1;
}
return sum;
}
static inline HVX_Vector hvx_vec_reduce_sum_qf32(HVX_Vector in) {
return hvx_vec_reduce_sum_n_qf32(in, 32);
}
#if __HVX_ARCH__ > 75
static inline HVX_Vector hvx_vec_reduce_sum_f32x4(HVX_Vector_x4 in) {
HVX_VectorPair sum_p01 = Q6_W_vshuff_VVR(in.v[1], in.v[0], 4);
HVX_VectorPair sum_p23 = Q6_W_vshuff_VVR(in.v[3], in.v[2], 4);
HVX_Vector sum_sf01 = Q6_Vsf_vadd_VsfVsf(Q6_V_lo_W(sum_p01), Q6_V_hi_W(sum_p01));
HVX_Vector sum_sf23 = Q6_Vsf_vadd_VsfVsf(Q6_V_lo_W(sum_p23), Q6_V_hi_W(sum_p23));
HVX_VectorPair sum_p0123 = Q6_W_vshuff_VVR(sum_sf23, sum_sf01, 8);
HVX_Vector sum_sf = Q6_Vsf_vadd_VsfVsf(Q6_V_lo_W(sum_p0123), Q6_V_hi_W(sum_p0123));
sum_sf = Q6_Vsf_vadd_VsfVsf(sum_sf, Q6_V_vror_VR(sum_sf, VLEN / 2));
sum_sf = Q6_Vsf_vadd_VsfVsf(sum_sf, Q6_V_vror_VR(sum_sf, VLEN / 4));
sum_sf = Q6_Vsf_vadd_VsfVsf(sum_sf, Q6_V_vror_VR(sum_sf, VLEN / 8));
return sum_sf;
}
static inline HVX_Vector hvx_vec_reduce_sum_f32x2(HVX_Vector in0, HVX_Vector in1) {
HVX_VectorPair sump = Q6_W_vshuff_VVR(in1, in0, 4);
HVX_Vector sum_sf = Q6_Vsf_vadd_VsfVsf(Q6_V_lo_W(sump), Q6_V_hi_W(sump));
sum_sf = Q6_Vsf_vadd_VsfVsf(sum_sf, Q6_V_vror_VR(sum_sf, VLEN / 2));
sum_sf = Q6_Vsf_vadd_VsfVsf(sum_sf, Q6_V_vror_VR(sum_sf, VLEN / 4));
sum_sf = Q6_Vsf_vadd_VsfVsf(sum_sf, Q6_V_vror_VR(sum_sf, VLEN / 8));
sum_sf = Q6_Vsf_vadd_VsfVsf(sum_sf, Q6_V_vror_VR(sum_sf, VLEN / 16));
return sum_sf;
}
static inline HVX_Vector hvx_vec_reduce_sum_n_f32(HVX_Vector in, unsigned int n) {
unsigned int total = n * 4; // total vec nbytes
unsigned int width = 4; // fp32 nbytes
HVX_Vector sum = in, sum_t;
while (width < total) {
sum_t = Q6_V_vror_VR(sum, width); // rotate right
sum = Q6_Vsf_vadd_VsfVsf(sum, sum_t); // elementwise sum
width = width << 1;
}
return sum;
}
#else
static inline HVX_Vector hvx_vec_reduce_sum_f32x4(HVX_Vector_x4 in) {
HVX_VectorPair sum_p01 = Q6_W_vshuff_VVR(in.v[1], in.v[0], 4);
HVX_VectorPair sum_p23 = Q6_W_vshuff_VVR(in.v[3], in.v[2], 4);
HVX_Vector sum_qf01 = Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(sum_p01), Q6_V_hi_W(sum_p01));
HVX_Vector sum_qf23 = Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(sum_p23), Q6_V_hi_W(sum_p23));
HVX_VectorPair sum_p0123 = Q6_W_vshuff_VVR(Q6_Vsf_equals_Vqf32(sum_qf23), Q6_Vsf_equals_Vqf32(sum_qf01), 8);
HVX_Vector sum_qf = Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(sum_p0123), Q6_V_hi_W(sum_p0123));
sum_qf = Q6_Vqf32_vadd_Vqf32Vsf(sum_qf, Q6_V_vror_VR(Q6_Vsf_equals_Vqf32(sum_qf), VLEN / 2));
sum_qf = Q6_Vqf32_vadd_Vqf32Vsf(sum_qf, Q6_V_vror_VR(Q6_Vsf_equals_Vqf32(sum_qf), VLEN / 4));
sum_qf = Q6_Vqf32_vadd_Vqf32Vsf(sum_qf, Q6_V_vror_VR(Q6_Vsf_equals_Vqf32(sum_qf), VLEN / 8));
return Q6_Vsf_equals_Vqf32(sum_qf);
}
static inline HVX_Vector hvx_vec_reduce_sum_f32x2(HVX_Vector in0, HVX_Vector in1) {
HVX_VectorPair sump = Q6_W_vshuff_VVR(in1, in0, 4);
HVX_Vector sum_qf = Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(sump), Q6_V_hi_W(sump));
sum_qf = Q6_Vqf32_vadd_Vqf32Vsf(sum_qf, Q6_V_vror_VR(Q6_Vsf_equals_Vqf32(sum_qf), VLEN / 2));
sum_qf = Q6_Vqf32_vadd_Vqf32Vsf(sum_qf, Q6_V_vror_VR(Q6_Vsf_equals_Vqf32(sum_qf), VLEN / 4));
sum_qf = Q6_Vqf32_vadd_Vqf32Vsf(sum_qf, Q6_V_vror_VR(Q6_Vsf_equals_Vqf32(sum_qf), VLEN / 8));
sum_qf = Q6_Vqf32_vadd_Vqf32Vsf(sum_qf, Q6_V_vror_VR(Q6_Vsf_equals_Vqf32(sum_qf), VLEN / 16));
return Q6_Vsf_equals_Vqf32(sum_qf);
}
static inline HVX_Vector hvx_vec_reduce_sum_n_f32(HVX_Vector in, unsigned int n) {
unsigned int total = n * 4; // total vec nbytes
unsigned int width = 4; // fp32 nbytes
HVX_Vector sum = in, sum_t;
while (width < total) {
sum_t = Q6_V_vror_VR(sum, width); // rotate right
sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(sum, sum_t)); // elementwise sum
width = width << 1;
}
return sum;
}
#endif
static inline HVX_Vector hvx_vec_reduce_sum_f32(HVX_Vector in) {
return hvx_vec_reduce_sum_n_f32(in, 32);
}
static inline HVX_Vector hvx_vec_reduce_max_f16(HVX_Vector in) {
unsigned total = 128; // total vec nbytes
unsigned width = 2; // fp16 nbytes
HVX_Vector _max = in, _max_t;
while (width < total) {
_max_t = Q6_V_vror_VR(_max, width); // rotate right
_max = Q6_Vhf_vmax_VhfVhf(_max_t, _max); // elementwise max
width = width << 1;
}
return _max;
}
static inline HVX_Vector hvx_vec_reduce_max2_f16(HVX_Vector in, HVX_Vector _max) {
unsigned total = 128; // total vec nbytes
unsigned width = 2; // fp32 nbytes
HVX_Vector _max_t;
_max = Q6_Vhf_vmax_VhfVhf(in, _max);
while (width < total) {
_max_t = Q6_V_vror_VR(_max, width); // rotate right
_max = Q6_Vhf_vmax_VhfVhf(_max_t, _max); // elementwise max
width = width << 1;
}
return _max;
}
static inline HVX_Vector hvx_vec_reduce_max_f32(HVX_Vector in) {
unsigned total = 128; // total vec nbytes
unsigned width = 4; // fp32 nbytes
HVX_Vector _max = in, _max_t;
while (width < total) {
_max_t = Q6_V_vror_VR(_max, width); // rotate right
_max = Q6_Vsf_vmax_VsfVsf(_max_t, _max); // elementwise max
width = width << 1;
}
return _max;
}
static inline HVX_Vector hvx_vec_reduce_max2_f32(HVX_Vector in, HVX_Vector _max) {
unsigned total = 128; // total vec nbytes
unsigned width = 4; // fp32 nbytes
HVX_Vector _max_t;
_max = Q6_Vsf_vmax_VsfVsf(in, _max);
while (width < total) {
_max_t = Q6_V_vror_VR(_max, width); // rotate right
_max = Q6_Vsf_vmax_VsfVsf(_max_t, _max); // elementwise max
width = width << 1;
}
return _max;
}
#define hvx_reduce_loop_body(src_type, init_vec, pad_vec, vec_op, reduce_op, scalar_reduce) \
do { \
src_type * restrict vsrc = (src_type *) src; \
HVX_Vector acc = init_vec; \
\
const uint32_t elem_size = sizeof(float); \
const uint32_t epv = 128 / elem_size; \
const uint32_t nvec = num_elems / epv; \
const uint32_t nloe = num_elems % epv; \
\
uint32_t i = 0; \
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
acc = vec_op(acc, vsrc[i]); \
} \
if (nloe) { \
const float * srcf = (const float *) src + i * epv; \
HVX_Vector in = *(HVX_UVector *) srcf; \
HVX_Vector temp = Q6_V_valign_VVR(in, pad_vec, nloe * elem_size); \
acc = vec_op(acc, temp); \
} \
HVX_Vector v = reduce_op(acc); \
return scalar_reduce(v); \
} while(0)
#define HVX_REDUCE_MAX_OP(acc, val) Q6_Vsf_vmax_VsfVsf(acc, val)
#define HVX_REDUCE_SUM_OP(acc, val) Q6_Vqf32_vadd_VsfVsf(Q6_Vsf_equals_Vqf32(acc), val)
#define HVX_SUM_SQ_OP(acc, val) Q6_Vqf32_vadd_Vqf32Vqf32(acc, Q6_Vqf32_vmpy_VsfVsf(val, val))
#define HVX_REDUCE_MAX_SCALAR(v) hvx_vec_get_f32(v)
#define HVX_REDUCE_SUM_SCALAR(v) hvx_vec_get_f32(Q6_Vsf_equals_Vqf32(v))
// Max variants
static inline float hvx_reduce_max_f32_a(const uint8_t * restrict src, const int num_elems) {
HVX_Vector init_vec = hvx_vec_splat_f32(((const float *) src)[0]);
assert((unsigned long) src % 128 == 0);
hvx_reduce_loop_body(HVX_Vector, init_vec, init_vec, HVX_REDUCE_MAX_OP, hvx_vec_reduce_max_f32, HVX_REDUCE_MAX_SCALAR);
}
static inline float hvx_reduce_max_f32_u(const uint8_t * restrict src, const int num_elems) {
HVX_Vector init_vec = hvx_vec_splat_f32(((const float *) src)[0]);
hvx_reduce_loop_body(HVX_UVector, init_vec, init_vec, HVX_REDUCE_MAX_OP, hvx_vec_reduce_max_f32, HVX_REDUCE_MAX_SCALAR);
}
static inline float hvx_reduce_max_f32(const uint8_t * restrict src, const int num_elems) {
if (hex_is_aligned((void *) src, 128)) {
return hvx_reduce_max_f32_a(src, num_elems);
} else {
return hvx_reduce_max_f32_u(src, num_elems);
}
}
// Sum variants
static inline float hvx_reduce_sum_f32_a(const uint8_t * restrict src, const int num_elems) {
HVX_Vector init_vec = Q6_V_vsplat_R(0);
assert((unsigned long) src % 128 == 0);
hvx_reduce_loop_body(HVX_Vector, init_vec, init_vec, HVX_REDUCE_SUM_OP, hvx_vec_reduce_sum_qf32, HVX_REDUCE_SUM_SCALAR);
}
static inline float hvx_reduce_sum_f32_u(const uint8_t * restrict src, const int num_elems) {
HVX_Vector init_vec = Q6_V_vsplat_R(0);
hvx_reduce_loop_body(HVX_UVector, init_vec, init_vec, HVX_REDUCE_SUM_OP, hvx_vec_reduce_sum_qf32, HVX_REDUCE_SUM_SCALAR);
}
static inline float hvx_reduce_sum_f32(const uint8_t * restrict src, const int num_elems) {
if (hex_is_aligned((void *) src, 128)) {
return hvx_reduce_sum_f32_a(src, num_elems);
} else {
return hvx_reduce_sum_f32_u(src, num_elems);
}
}
// Sum of squares variants
static inline float hvx_sum_of_squares_f32_a(const uint8_t * restrict src, const int num_elems) {
HVX_Vector init_vec = Q6_V_vsplat_R(0);
assert((uintptr_t) src % 128 == 0);
hvx_reduce_loop_body(HVX_Vector, init_vec, init_vec, HVX_SUM_SQ_OP, hvx_vec_reduce_sum_qf32, HVX_REDUCE_SUM_SCALAR);
}
static inline float hvx_sum_of_squares_f32_u(const uint8_t * restrict src, const int num_elems) {
HVX_Vector init_vec = Q6_V_vsplat_R(0);
hvx_reduce_loop_body(HVX_UVector, init_vec, init_vec, HVX_SUM_SQ_OP, hvx_vec_reduce_sum_qf32, HVX_REDUCE_SUM_SCALAR);
}
static inline float hvx_sum_of_squares_f32(const uint8_t * restrict src, const int num_elems) {
if (hex_is_aligned((void *) src, 128)) {
return hvx_sum_of_squares_f32_a(src, num_elems);
} else {
return hvx_sum_of_squares_f32_u(src, num_elems);
}
}
// Signed 32-bit Integer Max variants
static inline HVX_Vector hvx_vec_reduce_max_n_i32(HVX_Vector in, unsigned int n) {
unsigned int total = n * 4; // total vec nbytes
unsigned int width = 4; // int32 nbytes
HVX_Vector max_val = in, max_t;
while (width < total) {
max_t = Q6_V_vror_VR(max_val, width); // rotate right
max_val = Q6_Vw_vmax_VwVw(max_t, max_val); // elementwise signed max
width = width << 1;
}
return max_val;
}
static inline HVX_Vector hvx_vec_reduce_max_i32(HVX_Vector in) {
return hvx_vec_reduce_max_n_i32(in, 32);
}
static inline int32_t hvx_reduce_max_i32_a(const uint8_t * restrict src, const int num_elems) {
HVX_Vector init_vec = Q6_V_vsplat_R(((const int32_t *) src)[0]);
HVX_Vector pad_vec = Q6_V_vsplat_R(0x80000000);
assert((uintptr_t) src % 128 == 0);
hvx_reduce_loop_body(HVX_Vector, init_vec, pad_vec, Q6_Vw_vmax_VwVw, hvx_vec_reduce_max_i32, hvx_vec_get_i32);
}
static inline int32_t hvx_reduce_max_i32_u(const uint8_t * restrict src, const int num_elems) {
HVX_Vector init_vec = Q6_V_vsplat_R(((const int32_t *) src)[0]);
HVX_Vector pad_vec = Q6_V_vsplat_R(0x80000000);
hvx_reduce_loop_body(HVX_UVector, init_vec, pad_vec, Q6_Vw_vmax_VwVw, hvx_vec_reduce_max_i32, hvx_vec_get_i32);
}
static inline int32_t hvx_reduce_max_i32(const uint8_t * restrict src, const int num_elems) {
if (hex_is_aligned((void *) src, 128)) {
return hvx_reduce_max_i32_a(src, num_elems);
} else {
return hvx_reduce_max_i32_u(src, num_elems);
}
}
#undef hvx_reduce_loop_body
#undef HVX_REDUCE_MAX_OP
#undef HVX_REDUCE_SUM_OP
#undef HVX_REDUCE_MAX_SCALAR
#undef HVX_REDUCE_SUM_SCALAR
#undef HVX_SUM_SQ_OP
#endif /* HVX_REDUCE_H */

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#ifndef HVX_REPL_H
#define HVX_REPL_H
#include <assert.h>
#include <stddef.h>
#include <stdint.h>
#include "hvx-base.h"
static inline HVX_Vector hvx_vec_repl(HVX_Vector v, const uint8_t * ctrl) {
return Q6_V_vdelta_VV(v, hvx_vmem(ctrl));
}
static inline HVX_Vector hvx_vec_repl_u32(HVX_Vector v) {
// vdelta control to replicate first 4 bytes across all lanes
static const uint8_t __attribute__((aligned(128))) repl[128] = {
0x00, 0x00, 0x00, 0x00, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x20, 0x20, 0x20, 0x20, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x40, 0x40, 0x40, 0x40, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x20, 0x20, 0x20, 0x20, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
};
return hvx_vec_repl(v, repl);
}
static inline HVX_Vector hvx_vec_repl_f32(HVX_Vector v) {
// vdelta control to replicate first 4 bytes across all lanes
static const uint8_t __attribute__((aligned(128))) repl[128] = {
0x00, 0x00, 0x00, 0x00, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x20, 0x20, 0x20, 0x20, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x40, 0x40, 0x40, 0x40, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x20, 0x20, 0x20, 0x20, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
};
return hvx_vec_repl(v, repl);
}
static inline HVX_Vector hvx_vec_repl_f16(HVX_Vector v) {
// vdelta control to replicate first two bytes across all lanes
static const uint8_t __attribute__((aligned(128))) repl[128] = {
0x00, 0x00, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
0x20, 0x20, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
0x40, 0x40, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
0x20, 0x20, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
};
return hvx_vec_repl(v, repl);
}
static inline HVX_Vector hvx_vec_repl_2x_f16(HVX_Vector v) {
// vdelta control to splat a pair of f16s: first half = f16[0], second half = f16[1]
static const uint8_t __attribute__((aligned(128))) repl[128] = {
0x00, 0x00, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
0x20, 0x20, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
0x02, 0x02, 0x40, 0x40, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04,
0x02, 0x02, 0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04,
0x02, 0x02, 0x20, 0x20, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04,
0x02, 0x02, 0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04,
};
return hvx_vec_repl(v, repl);
}
#endif // HVX_REPL_H

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#ifndef HVX_SCALE_H
#define HVX_SCALE_H
#include <assert.h>
#include <stddef.h>
#include <stdint.h>
#include "hvx-base.h"
#define hvx_scale_f32_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
HVX_Vector vs = hvx_vec_splat_f32(scale); \
\
const uint32_t elem_size = sizeof(float); \
const uint32_t epv = 128 / elem_size; \
const uint32_t nvec = n / epv; \
const uint32_t nloe = n % epv; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; ++i) { \
HVX_Vector v = Q6_Vqf32_vmpy_VsfVsf(vsrc[i], vs); \
vdst[i] = Q6_Vsf_equals_Vqf32(v); \
} \
if (nloe) { \
HVX_Vector v = Q6_Vqf32_vmpy_VsfVsf(vsrc[i], vs); \
vec_store((void *) &vdst[i], nloe * elem_size, Q6_Vsf_equals_Vqf32(v)); \
} \
} while(0)
static inline void hvx_scale_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, const int n, const float scale) {
assert((size_t) dst % 128 == 0);
assert((size_t) src % 128 == 0);
hvx_scale_f32_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
}
static inline void hvx_scale_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, const int n, const float scale) {
assert((size_t) dst % 128 == 0);
hvx_scale_f32_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
}
static inline void hvx_scale_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, const int n, const float scale) {
assert((size_t) src % 128 == 0);
hvx_scale_f32_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
}
static inline void hvx_scale_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, const int n, const float scale) {
hvx_scale_f32_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
}
static inline void hvx_scale_f32(uint8_t * restrict dst, const uint8_t * restrict src, const int n, const float scale) {
if (((size_t) dst & 127) == 0) {
if (((size_t) src & 127) == 0) {
hvx_scale_f32_aa(dst, src, n, scale);
} else {
hvx_scale_f32_au(dst, src, n, scale);
}
} else {
if (((size_t) src & 127) == 0) {
hvx_scale_f32_ua(dst, src, n, scale);
} else {
hvx_scale_f32_uu(dst, src, n, scale);
}
}
}
#define hvx_scale_offset_f32_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
HVX_Vector vs = hvx_vec_splat_f32(scale); \
HVX_Vector vo = hvx_vec_splat_f32(offset); \
\
const uint32_t elem_size = sizeof(float); \
const uint32_t epv = 128 / elem_size; \
const uint32_t nvec = n / epv; \
const uint32_t nloe = n % epv; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; ++i) { \
HVX_Vector v = Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vmpy_VsfVsf(vsrc[i], vs), vo); \
vdst[i] = Q6_Vsf_equals_Vqf32(v); \
} \
if (nloe) { \
HVX_Vector v = Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vmpy_VsfVsf(vsrc[i], vs), vo); \
vec_store((void *) &vdst[i], nloe * elem_size, Q6_Vsf_equals_Vqf32(v)); \
} \
} while(0)
static inline void hvx_scale_offset_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, const int n, const float scale, const float offset) {
assert((size_t) dst % 128 == 0);
assert((size_t) src % 128 == 0);
hvx_scale_offset_f32_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
}
static inline void hvx_scale_offset_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, const int n, const float scale, const float offset) {
assert((size_t) dst % 128 == 0);
hvx_scale_offset_f32_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
}
static inline void hvx_scale_offset_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, const int n, const float scale, const float offset) {
assert((size_t) src % 128 == 0);
hvx_scale_offset_f32_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
}
static inline void hvx_scale_offset_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, const int n, const float scale, const float offset) {
hvx_scale_offset_f32_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
}
static inline void hvx_scale_offset_f32(uint8_t * restrict dst, const uint8_t * restrict src, const int n, const float scale, const float offset) {
if (((size_t) dst & 127) == 0) {
if (((size_t) src & 127) == 0) {
hvx_scale_offset_f32_aa(dst, src, n, scale, offset);
} else {
hvx_scale_offset_f32_au(dst, src, n, scale, offset);
}
} else {
if (((size_t) src & 127) == 0) {
hvx_scale_offset_f32_ua(dst, src, n, scale, offset);
} else {
hvx_scale_offset_f32_uu(dst, src, n, scale, offset);
}
}
}
// Scale+offset computed by promoting f16 -> f32, then narrowing the result back to f16.
#define hvx_scale_offset_f16_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
HVX_Vector vs = hvx_vec_splat_f32(scale); \
HVX_Vector vo = hvx_vec_splat_f32(offset); \
\
const uint32_t nvec = n / VLEN_FP16; \
const uint32_t nloe = n % VLEN_FP16; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; ++i) { \
HVX_VectorPair p = hvx_vec_f16_to_f32(vsrc[i]); \
HVX_Vector r0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(p), vs), vo)); \
HVX_Vector r1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(p), vs), vo)); \
vdst[i] = hvx_vec_f32_to_f16(r0, r1); \
} \
if (nloe) { \
HVX_VectorPair p = hvx_vec_f16_to_f32(vsrc[i]); \
HVX_Vector r0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(p), vs), vo)); \
HVX_Vector r1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(p), vs), vo)); \
HVX_Vector v = hvx_vec_f32_to_f16(r0, r1); \
vec_store((void *) &vdst[i], nloe * SIZEOF_FP16, v); \
} \
} while(0)
static inline void hvx_scale_offset_f16_aa(uint8_t * restrict dst, const uint8_t * restrict src, const int n, const float scale, const float offset) {
assert((size_t) dst % 128 == 0);
assert((size_t) src % 128 == 0);
hvx_scale_offset_f16_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
}
static inline void hvx_scale_offset_f16_au(uint8_t * restrict dst, const uint8_t * restrict src, const int n, const float scale, const float offset) {
assert((size_t) dst % 128 == 0);
hvx_scale_offset_f16_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
}
static inline void hvx_scale_offset_f16_ua(uint8_t * restrict dst, const uint8_t * restrict src, const int n, const float scale, const float offset) {
assert((size_t) src % 128 == 0);
hvx_scale_offset_f16_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
}
static inline void hvx_scale_offset_f16_uu(uint8_t * restrict dst, const uint8_t * restrict src, const int n, const float scale, const float offset) {
hvx_scale_offset_f16_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
}
static inline void hvx_scale_offset_f16(uint8_t * restrict dst, const uint8_t * restrict src, const int n, const float scale, const float offset) {
if (((size_t) dst & 127) == 0) {
if (((size_t) src & 127) == 0) {
hvx_scale_offset_f16_aa(dst, src, n, scale, offset);
} else {
hvx_scale_offset_f16_au(dst, src, n, scale, offset);
}
} else {
if (((size_t) src & 127) == 0) {
hvx_scale_offset_f16_ua(dst, src, n, scale, offset);
} else {
hvx_scale_offset_f16_uu(dst, src, n, scale, offset);
}
}
}
#endif // HVX_SCALE_H

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#ifndef HVX_SIGMOID_H
#define HVX_SIGMOID_H
#include "hvx-base.h"
#include "hvx-inverse.h"
#include "hvx-exp.h"
#define FAST_SIGMOID_LOG2F (0x3fb8aa3b) // 1.442695022
#define FAST_SIGMOID_C1 (0x3d009076) // 0.03138777
#define FAST_SIGMOID_C2 (0x3e8d74bd) // 0.276281267
#define FAST_SIGMOID_C3 (0x3f000000) // 0.5
static inline HVX_Vector hvx_vec_fast_sigmoid_f32(HVX_Vector v) {
v = Q6_Vqf32_vmpy_VsfVsf(v, Q6_V_vsplat_R(FAST_SIGMOID_LOG2F));
v = Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(v), Q6_V_vsplat_R(FAST_SIGMOID_C3));
HVX_Vector in_int = hvx_vec_truncate_f32(Q6_Vsf_equals_Vqf32(v));
HVX_Vector x = Q6_Vqf32_vsub_Vqf32Vsf(v, Q6_Vsf_equals_Vw(in_int));
HVX_Vector xx = Q6_Vqf32_vmpy_Vqf32Vqf32(x, x);
HVX_Vector v1 = Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(xx), Q6_V_vsplat_R(FAST_SIGMOID_C2));
v1 = Q6_Vqf32_vadd_Vqf32Vsf(v1, Q6_V_vsplat_R(FAST_SIGMOID_LOG2F));
HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(Q6_Vsf_equals_Vqf32(x), Q6_V_vsplat_R(FAST_SIGMOID_C1));
v2 = Q6_Vqf32_vmpy_Vqf32Vqf32(v2, xx);
v2 = Q6_Vqf32_vadd_Vqf32Vqf32(v2, x);
HVX_Vector v3 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vqf32(v2, v1));
HVX_Vector v3_exponent = Q6_Vw_vasl_VwR(v3, 1);
v3_exponent = Q6_Vuw_vlsr_VuwR(v3_exponent, 24);
v3_exponent = Q6_Vw_vadd_VwVw(in_int, v3_exponent);
v3 = Q6_Vw_vaslacc_VwVwR(v3, in_int, 24);
HVX_Vector v4 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vsub_Vqf32Vqf32(v2, v1));
HVX_Vector v5 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vsub_VsfVsf(v3, v4));
HVX_Vector res = hvx_vec_inverse_f32(v5);
res = Q6_Vqf32_vmpy_VsfVsf(v3, res);
return Q6_Vsf_equals_Vqf32(res);
}
static inline HVX_Vector hvx_vec_fast_sigmoid_f32_guard(HVX_Vector v,
HVX_Vector one,
HVX_Vector max_exp,
HVX_Vector min_exp) {
const HVX_VectorPred pred_max = Q6_Q_vcmp_gt_VsfVsf(max_exp, v);
const HVX_VectorPred pred_min = Q6_Q_vcmp_gt_VsfVsf(v, min_exp);
HVX_Vector out = hvx_vec_fast_sigmoid_f32(v);
out = Q6_V_vmux_QVV(pred_max, out, one);
return Q6_V_vmux_QVV(pred_min, out, Q6_V_vzero());
}
static inline HVX_Vector hvx_vec_tanh_f32(HVX_Vector x) {
// tanh(x) = 2 * sigmoid(2x) - 1
HVX_Vector two = hvx_vec_splat_f32(2.0f);
HVX_Vector one = hvx_vec_splat_f32(1.0f);
HVX_Vector x2 = Q6_Vqf32_vmpy_VsfVsf(x, two);
HVX_Vector max_exp = hvx_vec_splat_f32(87.f);
HVX_Vector min_exp = hvx_vec_splat_f32(-87.f);
HVX_Vector sig2x = hvx_vec_fast_sigmoid_f32_guard(Q6_Vsf_equals_Vqf32(x2), one, max_exp, min_exp);
HVX_Vector res = Q6_Vqf32_vmpy_VsfVsf(sig2x, two);
res = Q6_Vqf32_vsub_Vqf32Vsf(res, one);
return Q6_Vsf_equals_Vqf32(res);
}
#define hvx_sigmoid_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
const HVX_Vector one = hvx_vec_splat_f32(1.f); \
const HVX_Vector max_exp = hvx_vec_splat_f32(87.f); \
const HVX_Vector min_exp = hvx_vec_splat_f32(-87.f); \
\
const uint32_t epv = 128 / sizeof(float); \
const uint32_t nvec = n / epv; \
const uint32_t nloe = n % epv; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
vdst[i] = hvx_vec_fast_sigmoid_f32_guard(vsrc[i], one, max_exp, min_exp); \
} \
if (nloe) { \
HVX_Vector tmp = hvx_vec_fast_sigmoid_f32_guard(vsrc[i], one, max_exp, min_exp); \
vec_store((void *) &vdst[i], nloe * sizeof(float), tmp); \
} \
} while(0)
#define hvx_tanh_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
const uint32_t epv = 128 / sizeof(float); \
const uint32_t nvec = n / epv; \
const uint32_t nloe = n % epv; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
vdst[i] = hvx_vec_tanh_f32(vsrc[i]); \
} \
if (nloe) { \
HVX_Vector tmp = hvx_vec_tanh_f32(vsrc[i]); \
vec_store((void *) &vdst[i], nloe * sizeof(float), tmp); \
} \
} while(0)
static inline void hvx_sigmoid_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
hvx_sigmoid_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
}
static inline void hvx_sigmoid_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
hvx_sigmoid_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
}
static inline void hvx_sigmoid_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) src % 128 == 0);
hvx_sigmoid_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
}
static inline void hvx_sigmoid_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_sigmoid_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
}
static inline void hvx_tanh_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
hvx_tanh_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
}
static inline HVX_Vector hvx_vec_fast_sigmoid_f16(HVX_Vector x_v) {
const HVX_Vector v_one = hvx_vec_splat_f16(1.0f);
const HVX_Vector v_neg_log2e = hvx_vec_splat_f16(-EXP_LOG2E_F);
const HVX_Vector em_mask = Q6_Vh_vsplat_R(0x7FFF);
// Compute absolute value of x_v
HVX_Vector abs_x = Q6_V_vand_VV(x_v, em_mask);
// Compute u = -abs_x * log2(e) <= 0.
HVX_Vector u = hvx_vec_mul_f16_f16(abs_x, v_neg_log2e);
// Clamp input to prevent underflow in exp2
const HVX_Vector v_clamp_min = hvx_vec_splat_f16(-24.0f);
u = Q6_Vhf_vmax_VhfVhf(v_clamp_min, u);
HVX_Vector exp_val = hvx_vec_exp2_f16(u);
HVX_Vector denom = hvx_vec_add_f16_f16(v_one, exp_val);
HVX_Vector sig_abs = hvx_vec_inverse_f16(denom);
// check if x_v < 0 (using integer comparison on absolute value)
HVX_VectorPred is_neg = Q6_Q_vcmp_gt_VhVh(abs_x, x_v);
// If x_v < 0, return 1.0f - sig_abs
HVX_Vector sig_neg = Q6_Vhf_equals_Vqf16(Q6_Vqf16_vsub_VhfVhf(v_one, sig_abs));
return Q6_V_vmux_QVV(is_neg, sig_neg, sig_abs);
}
static inline HVX_Vector hvx_vec_tanh_f16(HVX_Vector x) {
// tanh(x) = 2 * sigmoid(2x) - 1
const HVX_Vector v_two = hvx_vec_splat_f16(2.0f);
HVX_Vector x2 = hvx_vec_mul_f16_f16(x, v_two);
HVX_Vector sig2x = hvx_vec_fast_sigmoid_f16(x2);
const HVX_Vector v_neg_one = hvx_vec_splat_f16(-1.0f);
return hvx_vec_add_f16_f16(hvx_vec_mul_f16_f16(sig2x, v_two), v_neg_one);
}
#endif /* HVX_SIGMOID_H */

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#ifndef HVX_SIN_COS_H
#define HVX_SIN_COS_H
#include "hvx-base.h"
#include "hvx-floor.h"
// Range-reduce x to y in [-pi/2, pi/2] and the quadrant sign (-1)^n.
// Floor/truncate need IEEE bits, so convert qf32 back to sf before them.
static inline void hvx_vec_sincos_reduce_f32(HVX_Vector x, HVX_Vector * y, HVX_Vector * sign) {
HVX_Vector const_inv_pi = hvx_vec_splat_f32(0.3183098861837907f);
HVX_Vector const_half = hvx_vec_splat_f32(0.5f);
HVX_Vector const_pi = hvx_vec_splat_f32(3.141592653589793f);
HVX_Vector const_one = hvx_vec_splat_f32(1.0f);
HVX_Vector const_neg_one = hvx_vec_splat_f32(-1.0f);
HVX_Vector const_one_i = Q6_V_vsplat_R(1);
HVX_Vector x_over_pi = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(x, const_inv_pi));
x_over_pi = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(x_over_pi, const_half));
HVX_Vector n_float = hvx_vec_floor_f32(x_over_pi);
HVX_Vector n_int = hvx_vec_truncate_f32(n_float);
HVX_Vector n_pi = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(n_float, const_pi));
*y = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vsub_VsfVsf(x, n_pi));
HVX_VectorPred is_odd = Q6_Q_vcmp_eq_VwVw(Q6_V_vand_VV(n_int, const_one_i), const_one_i);
*sign = Q6_V_vmux_QVV(is_odd, const_neg_one, const_one);
}
static inline void hvx_vec_sincos_f32(HVX_Vector x, HVX_Vector * vcos, HVX_Vector * vsin) {
HVX_Vector y;
HVX_Vector sign;
hvx_vec_sincos_reduce_f32(x, &y, &sign);
HVX_Vector z = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(y, y));
HVX_Vector c4 = hvx_vec_splat_f32(2.3557242013849433e-05f);
HVX_Vector c3 = hvx_vec_splat_f32(-0.0013871428263450528f);
HVX_Vector c2 = hvx_vec_splat_f32(0.041665895266688284f);
HVX_Vector c1 = hvx_vec_splat_f32(-0.4999999360426369f);
HVX_Vector c0 = hvx_vec_splat_f32(0.9999999999071725f);
HVX_Vector cos_y = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(c3, Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(z, c4))));
cos_y = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(c2, Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(z, cos_y))));
cos_y = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(c1, Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(z, cos_y))));
cos_y = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(c0, Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(z, cos_y))));
HVX_Vector s4 = hvx_vec_splat_f32(2.642186986152672e-06f);
HVX_Vector s3 = hvx_vec_splat_f32(-0.00019825318964070864f);
HVX_Vector s2 = hvx_vec_splat_f32(0.00833326283319605f);
HVX_Vector s1 = hvx_vec_splat_f32(-0.16666666082087775f);
HVX_Vector s0 = hvx_vec_splat_f32(0.999999999915155f);
HVX_Vector sin_y = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(s3, Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(z, s4))));
sin_y = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(s2, Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(z, sin_y))));
sin_y = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(s1, Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(z, sin_y))));
sin_y = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(s0, Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(z, sin_y))));
sin_y = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(y, sin_y));
*vcos = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(cos_y, sign));
*vsin = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(sin_y, sign));
}
static inline HVX_Vector hvx_vec_cos_f32(HVX_Vector x) {
HVX_Vector vcos;
HVX_Vector vsin;
hvx_vec_sincos_f32(x, &vcos, &vsin);
return vcos;
}
static inline HVX_Vector hvx_vec_sin_f32(HVX_Vector x) {
HVX_Vector vcos;
HVX_Vector vsin;
hvx_vec_sincos_f32(x, &vcos, &vsin);
return vsin;
}
#endif /* HVX_SIN_COS_H */

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#ifndef HVX_SQRT_H
#define HVX_SQRT_H
#include <stdbool.h>
#include <stdint.h>
#include "hex-utils.h"
#include "hvx-base.h"
#define RSQRT_CONST 0x5f3759df // Constant for fast inverse square root calculation
#define RSQRT_ONE_HALF 0x3f000000 // 0.5
#define RSQRT_THREE_HALVES 0x3fc00000 // 1.5
#if __HVX_ARCH__ < 79
#define HVX_OP_MUL(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(a, b))
#else
#define HVX_OP_MUL(a, b) Q6_Vsf_vmpy_VsfVsf(a, b)
#endif
static inline HVX_Vector hvx_vec_rsqrt_f32(HVX_Vector in_vec) {
//Algorithm :
// x2 = input*0.5
// y = * (long *) &input
// y = 0x5f3759df - (y>>1)
// y = y*(threehalfs - x2*y*y)
HVX_Vector rsqrtconst = Q6_V_vsplat_R(RSQRT_CONST);
HVX_Vector onehalf = Q6_V_vsplat_R(RSQRT_ONE_HALF);
HVX_Vector threehalfs = Q6_V_vsplat_R(RSQRT_THREE_HALVES);
HVX_Vector x2, y, ypower2, temp;
x2 = Q6_Vqf32_vmpy_VsfVsf(in_vec, onehalf);
x2 = Q6_Vqf32_vadd_Vqf32Vsf(x2, Q6_V_vzero());
y = Q6_Vw_vasr_VwR(in_vec, 1);
y = Q6_Vw_vsub_VwVw(rsqrtconst, y);
// 1st iteration
ypower2 = Q6_Vqf32_vmpy_VsfVsf(y, y);
ypower2 = Q6_Vqf32_vadd_Vqf32Vsf(ypower2, Q6_V_vzero());
temp = Q6_Vqf32_vmpy_Vqf32Vqf32(x2, ypower2);
temp = Q6_Vqf32_vsub_VsfVsf(threehalfs, Q6_Vsf_equals_Vqf32(temp));
temp = Q6_Vqf32_vmpy_VsfVsf(y, Q6_Vsf_equals_Vqf32(temp));
// 2nd iteration
y = Q6_Vqf32_vadd_Vqf32Vsf(temp, Q6_V_vzero());
ypower2 = Q6_Vqf32_vmpy_Vqf32Vqf32(y, y);
ypower2 = Q6_Vqf32_vadd_Vqf32Vsf(ypower2, Q6_V_vzero());
temp = Q6_Vqf32_vmpy_Vqf32Vqf32(x2, ypower2);
temp = Q6_Vqf32_vsub_VsfVsf(threehalfs, Q6_Vsf_equals_Vqf32(temp));
temp = Q6_Vqf32_vmpy_Vqf32Vqf32(y, temp);
// 3rd iteration
y = Q6_Vqf32_vadd_Vqf32Vsf(temp, Q6_V_vzero());
ypower2 = Q6_Vqf32_vmpy_Vqf32Vqf32(y, y);
ypower2 = Q6_Vqf32_vadd_Vqf32Vsf(ypower2, Q6_V_vzero());
temp = Q6_Vqf32_vmpy_Vqf32Vqf32(x2, ypower2);
temp = Q6_Vqf32_vsub_VsfVsf(threehalfs, Q6_Vsf_equals_Vqf32(temp));
temp = Q6_Vqf32_vmpy_Vqf32Vqf32(y, temp);
return Q6_Vsf_equals_Vqf32(temp);
}
// Compute sqrt(x) as x*inv_sqrt(x)
#define hvx_sqrt_f32_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
const uint32_t nvec = n / VLEN_FP32; \
const uint32_t nloe = n % VLEN_FP32; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
HVX_Vector inv_sqrt = hvx_vec_rsqrt_f32(vsrc[i]); \
HVX_Vector sqrt_res = HVX_OP_MUL(inv_sqrt, vsrc[i]); \
vdst[i] = sqrt_res; \
} \
if (nloe) { \
HVX_Vector inv_sqrt = hvx_vec_rsqrt_f32(vsrc[i]); \
HVX_Vector sqrt_res = HVX_OP_MUL(inv_sqrt, vsrc[i]); \
vec_store((void *) &vdst[i], nloe * SIZEOF_FP32, sqrt_res); \
} \
} while(0)
static inline void hvx_sqrt_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
hvx_sqrt_f32_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
}
static inline void hvx_sqrt_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
hvx_sqrt_f32_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
}
static inline void hvx_sqrt_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) src % 128 == 0);
hvx_sqrt_f32_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
}
static inline void hvx_sqrt_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_sqrt_f32_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
}
static inline void hvx_sqrt_f32(uint8_t * restrict dst, const uint8_t * restrict src, const int num_elems) {
if ((unsigned long) dst % 128 == 0) {
if ((unsigned long) src % 128 == 0) {
hvx_sqrt_f32_aa(dst, src, num_elems);
} else {
hvx_sqrt_f32_au(dst, src, num_elems);
}
} else {
if ((unsigned long) src % 128 == 0) {
hvx_sqrt_f32_ua(dst, src, num_elems);
} else {
hvx_sqrt_f32_uu(dst, src, num_elems);
}
}
}
// Compute sqrt(x) for f16 by promoting to f32, applying hvx_vec_rsqrt_f32, and narrowing back.
#define hvx_sqrt_f16_loop_body(dst_type, src_type, vec_store) \
do { \
dst_type * restrict vdst = (dst_type *) dst; \
src_type * restrict vsrc = (src_type *) src; \
\
const uint32_t nvec = n / VLEN_FP16; \
const uint32_t nloe = n % VLEN_FP16; \
\
uint32_t i = 0; \
\
_Pragma("unroll(4)") \
for (; i < nvec; i++) { \
HVX_VectorPair p = hvx_vec_f16_to_f32(vsrc[i]); \
HVX_Vector r0 = HVX_OP_MUL(hvx_vec_rsqrt_f32(Q6_V_lo_W(p)), Q6_V_lo_W(p)); \
HVX_Vector r1 = HVX_OP_MUL(hvx_vec_rsqrt_f32(Q6_V_hi_W(p)), Q6_V_hi_W(p)); \
vdst[i] = hvx_vec_f32_to_f16(r0, r1); \
} \
if (nloe) { \
HVX_VectorPair p = hvx_vec_f16_to_f32(vsrc[i]); \
HVX_Vector r0 = HVX_OP_MUL(hvx_vec_rsqrt_f32(Q6_V_lo_W(p)), Q6_V_lo_W(p)); \
HVX_Vector r1 = HVX_OP_MUL(hvx_vec_rsqrt_f32(Q6_V_hi_W(p)), Q6_V_hi_W(p)); \
HVX_Vector v = hvx_vec_f32_to_f16(r0, r1); \
vec_store((void *) &vdst[i], nloe * SIZEOF_FP16, v); \
} \
} while(0)
static inline void hvx_sqrt_f16_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
assert((unsigned long) src % 128 == 0);
hvx_sqrt_f16_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
}
static inline void hvx_sqrt_f16_au(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) dst % 128 == 0);
hvx_sqrt_f16_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
}
static inline void hvx_sqrt_f16_ua(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
assert((unsigned long) src % 128 == 0);
hvx_sqrt_f16_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
}
static inline void hvx_sqrt_f16_uu(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
hvx_sqrt_f16_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
}
static inline void hvx_sqrt_f16(uint8_t * restrict dst, const uint8_t * restrict src, const int num_elems) {
if ((unsigned long) dst % 128 == 0) {
if ((unsigned long) src % 128 == 0) {
hvx_sqrt_f16_aa(dst, src, num_elems);
} else {
hvx_sqrt_f16_au(dst, src, num_elems);
}
} else {
if ((unsigned long) src % 128 == 0) {
hvx_sqrt_f16_ua(dst, src, num_elems);
} else {
hvx_sqrt_f16_uu(dst, src, num_elems);
}
}
}
#endif /* HVX_SQRT_H */

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#ifndef HVX_TYPES_H
#define HVX_TYPES_H
#include <stdbool.h>
#include <stdint.h>
#include <hexagon_types.h>
#define SIZEOF_FP32 (4)
#define SIZEOF_FP16 (2)
#define VLEN (128)
#define VLEN_FP32 (VLEN / SIZEOF_FP32)
#define VLEN_FP16 (VLEN / SIZEOF_FP16)
typedef union {
HVX_Vector v;
uint8_t b[VLEN];
uint16_t h[VLEN_FP16];
uint32_t w[VLEN_FP32];
__fp16 fp16[VLEN_FP16];
float fp32[VLEN_FP32];
} __attribute__((aligned(VLEN), packed)) HVX_VectorAlias;
typedef struct {
HVX_Vector v[2];
} HVX_Vector_x2;
typedef struct {
HVX_Vector v[4];
} HVX_Vector_x4;
typedef struct {
HVX_Vector v[8];
} HVX_Vector_x8;
#endif /* HVX_TYPES_H */

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#ifndef HVX_UTILS_H
#define HVX_UTILS_H
#include "hex-utils.h"
#include "hvx-types.h"
#include "hvx-copy.h"
#include "hvx-repl.h"
#include "hvx-scale.h"
#include "hvx-exp.h"
#include "hvx-inverse.h"
#include "hvx-reduce.h"
#include "hvx-sigmoid.h"
#include "hvx-sqrt.h"
#include "hvx-arith.h"
#include "hvx-div.h"
#include "hvx-floor.h"
#include "hvx-sin-cos.h"
#include "hvx-base.h"
#include "hvx-pow.h"
#include "hvx-log.h"
#include "hvx-norm.h"
#endif /* HVX_UTILS_H */

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#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <hexagon_protos.h>
#include <hexagon_types.h>
#include <string.h>
#include "hex-common.h"
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "hvx-utils.h"
#include "hex-dma.h"
#include "hex-profile.h"
#include "htp-vtcm.h"
#include "htp-tensor.h"
struct htp_im2col_context {
struct htp_ops_context * octx;
uint32_t patch_base; // first patch index assigned to this dev
uint32_t npatches; // number of patches assigned to this dev
uint32_t npatches_per_thread; // patches = N*OH*OW (pure-DDR kernel)
uint32_t pe_row_base; // first N*OH row index assigned to this dev (DMA path)
uint32_t pe_nrows; // number of N*OH rows assigned to this dev (DMA path)
uint32_t pe_rows_per_thread; // N*OH rows per worker
uint32_t pe_src_row_bytes; // one output row's source: IC*KH*IW*4, rounded 256
uint32_t pe_dst_row_bytes; // one output row's dst: OW*patch_stride*2, rounded 256
// Patch-embed DMA path VTCM ping-pong.
uint8_t * pe_vtcm_src; // base of the 2x src buffers region
uint8_t * pe_vtcm_dst; // base of the 2x dst buffers region
uint32_t pe_src_size_per_thread; // 2 * pe_src_row_bytes
uint32_t pe_dst_size_per_thread; // 2 * pe_dst_row_bytes
};
// Per-op VTCM layout for the patch-embed DMA path
struct htp_im2col_vtcm_layout {
size_t off_src;
size_t off_dst;
size_t src_bytes_per_thread;
size_t dst_bytes_per_thread;
size_t total_bytes;
};
static inline void htp_im2col_vtcm_layout_build(struct htp_im2col_vtcm_layout * L,
size_t src_row_bytes,
size_t dst_row_bytes,
uint32_t n_threads) {
L->src_bytes_per_thread = 2 * src_row_bytes;
L->dst_bytes_per_thread = 2 * dst_row_bytes;
L->off_src = 0;
L->off_dst = L->off_src + L->src_bytes_per_thread * n_threads;
L->total_bytes = L->off_dst + L->dst_bytes_per_thread * n_threads;
}
#define IM2COL_PATCHEMBED_BODY(FNAME, DST_CTYPE, COPY_FN, SPLAT_FN, DST_ELEM, TAG) \
static void FNAME(unsigned int nth, unsigned int ith, void * data) { \
struct htp_im2col_context * ictx = (struct htp_im2col_context *) data; \
struct htp_ops_context * octx = ictx->octx; \
struct htp_thread_trace * restrict tr = &octx->ctx->trace[ith]; \
const struct htp_tensor * restrict src0 = octx->src[0]; \
const struct htp_tensor * restrict src1 = octx->src[1]; \
const struct htp_tensor * restrict dst = octx->dst; \
const int32_t s0 = octx->op_params[0], s1 = octx->op_params[1]; \
const int32_t p0 = octx->op_params[2], p1 = octx->op_params[3]; \
const int32_t d0 = octx->op_params[4], d1 = octx->op_params[5]; \
const uint32_t N = src1->ne[3], IC = src1->ne[2], IH = src1->ne[1], IW = src1->ne[0]; \
const uint32_t KH = src0->ne[1], KW = src0->ne[0]; \
const uint32_t OH = dst->ne[2]; \
const uint32_t OW = dst->ne[1]; \
const uint32_t patch_stride = IC * KH * KW; \
const float * restrict src_data = (const float *) src1->data; \
DST_CTYPE * restrict dst_data = (DST_CTYPE *) dst->data; \
const uint32_t patch_end = ictx->patch_base + ictx->npatches; \
const uint32_t patch_start = ictx->patch_base + ictx->npatches_per_thread * ith; \
const uint32_t patch_stop = MIN(patch_start + ictx->npatches_per_thread, patch_end);\
if (patch_start >= patch_stop) { \
return; \
} \
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, patch_start); \
for (uint32_t p = patch_start; p < patch_stop; p++) { \
const uint32_t iow = p % OW; \
const uint32_t ioh = (p / OW) % OH; \
const uint32_t in = p / (OW * OH); \
DST_CTYPE * restrict dst_patch = dst_data + (uint64_t) p * patch_stride; \
for (uint32_t iic = 0; iic < IC; iic++) { \
const float * restrict src_plane = src_data + ((uint64_t) in * IC + iic) * IH * IW; \
for (uint32_t ikh = 0; ikh < KH; ikh++) { \
const int32_t iih = (int32_t) ioh * s1 + (int32_t) ikh * d1 - p1; \
DST_CTYPE * restrict out_run = dst_patch + iic * (KH * KW) + ikh * KW; \
if (iih < 0 || iih >= (int32_t) IH) { \
SPLAT_FN(out_run, 0.0f, KW); \
continue; \
} \
const int32_t iiw0 = (int32_t) iow * s0 - p0; \
const float * restrict src_run = src_plane + (uint64_t) iih * IW + iiw0; \
if (d0 == 1) { \
/* contiguous source run: [lo,hi) is in-bounds, tails are zero pad */ \
const int32_t lo = iiw0 < 0 ? -iiw0 : 0; \
int32_t hi = (int32_t) IW - iiw0; \
if (hi > (int32_t) KW) { \
hi = (int32_t) KW; \
} \
if (hi <= lo) { \
SPLAT_FN(out_run, 0.0f, KW); \
} else { \
if (lo > 0) { \
SPLAT_FN(out_run, 0.0f, (uint32_t) lo); \
} \
COPY_FN((uint8_t *) (out_run + lo), (const uint8_t *) (src_run + lo), \
(uint32_t) (hi - lo)); \
if (hi < (int32_t) KW) { \
SPLAT_FN(out_run + hi, 0.0f, (KW - (uint32_t) hi)); \
} \
} \
continue; \
} \
for (uint32_t ikw = 0; ikw < KW; ikw++) { \
const int32_t iiw = (int32_t) iow * s0 + (int32_t) ikw * d0 - p0; \
out_run[ikw] = (iiw < 0 || iiw >= (int32_t) IW) ? \
(DST_CTYPE) 0.0f : \
(DST_CTYPE) src_plane[(uint64_t) iih * IW + iiw]; \
} \
} \
} \
} \
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, patch_start); \
}
IM2COL_PATCHEMBED_BODY(im2col_patchembed_thread, __fp16, hvx_copy_f16_f32_uu, hvx_splat_f16_u, sizeof(__fp16), "f32-f16")
IM2COL_PATCHEMBED_BODY(im2col_patchembed_f32_thread, float, hvx_copy_f32_uu, hvx_splat_f32_u, sizeof(float), "f32-f32")
#define IM2COL_PATCHEMBED_DMA_BODY(FNAME, DST_CTYPE, COPY_FN, SPLAT_FN, DST_ELEM, TAG) \
static void FNAME(unsigned int nth, unsigned int ith, void * data) { \
struct htp_im2col_context * ictx = (struct htp_im2col_context *) data; \
struct htp_ops_context * octx = ictx->octx; \
struct htp_thread_trace * restrict tr = &octx->ctx->trace[ith]; \
const struct htp_tensor * restrict src1 = octx->src[1]; \
const struct htp_tensor * restrict dst = octx->dst; \
const uint32_t N = src1->ne[3], IC = src1->ne[2], IH = src1->ne[1], IW = src1->ne[0]; \
const uint32_t KH = octx->src[0]->ne[1], KW = octx->src[0]->ne[0]; \
const uint32_t OH = dst->ne[2], OW = dst->ne[1]; \
const uint32_t patch_stride = IC * KH * KW; \
const float * restrict src_data = (const float *) src1->data; \
DST_CTYPE * restrict dst_data = (DST_CTYPE *) dst->data; \
dma_queue * dmaq = octx->ctx->dma[ith]; \
uint8_t * src_base = ictx->pe_vtcm_src + ith * ictx->pe_src_size_per_thread; \
uint8_t * dst_base = ictx->pe_vtcm_dst + ith * ictx->pe_dst_size_per_thread; \
float * srcb = (float *) src_base; \
DST_CTYPE * dstb = (DST_CTYPE *) dst_base; \
const uint32_t row_end_max = ictx->pe_row_base + ictx->pe_nrows; \
const uint32_t per_thread = ictx->pe_rows_per_thread; \
const uint32_t row_start = ictx->pe_row_base + per_thread * ith; \
const uint32_t row_end = MIN(row_start + per_thread, row_end_max); \
if (row_start >= row_end) \
return; \
for (uint32_t r = row_start; r < row_end; r++) { \
const uint32_t in = r / OH; \
const uint32_t ioh = r % OH; \
for (uint32_t ikh = 0; ikh < KH; ikh++) { \
int32_t iih = (int32_t) ioh * (int32_t) KH + (int32_t) ikh; \
int ok = (iih >= 0 && iih < (int32_t) IH); \
for (uint32_t iic = 0; iic < IC; iic++) { \
float * vdst = srcb + ((uint64_t) (iic * KH + ikh)) * IW; \
const float * _vsrc = \
ok ? (src_data + ((uint64_t) (in * IC + iic) * IH + iih) * IW) : (const float *) vdst; \
dma_queue_push_ddr_to_vtcm( \
dmaq, dma_make_ptr((uint8_t *) vdst, ok ? (const uint8_t *) _vsrc : (const uint8_t *) vdst), \
IW * sizeof(float), IW * sizeof(float), ok ? 1 : 0); \
} \
} \
for (uint32_t i = 0; i < IC * KH; i++) \
dma_queue_pop(dmaq); \
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, r); \
for (uint32_t iow = 0; iow < OW; iow++) { \
DST_CTYPE * dst_patch = dstb + (uint64_t) iow * patch_stride; \
for (uint32_t ikh = 0; ikh < KH; ikh++) { \
int32_t iih = (int32_t) ioh * (int32_t) KH + (int32_t) ikh; \
for (uint32_t iic = 0; iic < IC; iic++) { \
DST_CTYPE * out_run = dst_patch + iic * (KH * KW) + ikh * KW; \
if (iih < 0 || iih >= (int32_t) IH) { \
SPLAT_FN(out_run, 0.0f, KW); \
continue; \
} \
const float * src_run = srcb + ((uint64_t) (iic * KH + ikh)) * IW + (uint64_t) iow * KW; \
COPY_FN((uint8_t *) out_run, (const uint8_t *) src_run, KW); \
} \
} \
} \
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, r); \
DST_CTYPE * ddr_row = dst_data + ((uint64_t) (in * OH + ioh) * OW) * patch_stride; \
dma_queue_push_vtcm_to_ddr(dmaq, dma_make_ptr((uint8_t *) ddr_row, (uint8_t *) dstb), \
OW * patch_stride * (DST_ELEM), OW * patch_stride * (DST_ELEM), 1); \
dma_queue_flush(dmaq); \
} \
}
IM2COL_PATCHEMBED_DMA_BODY(im2col_patchembed_dma_thread, __fp16, hvx_copy_f16_f32_uu, hvx_splat_f16_u, sizeof(__fp16), "pe-dma-f16")
IM2COL_PATCHEMBED_DMA_BODY(im2col_patchembed_dma_f32_thread, float, hvx_copy_f32_uu, hvx_splat_f32_u, sizeof(float), "pe-dma-f32")
static bool im2col_use_patchembed_dma(const struct htp_ops_context * octx) {
const int32_t s0 = octx->op_params[0], s1 = octx->op_params[1];
const int32_t p0 = octx->op_params[2], p1 = octx->op_params[3];
const int32_t d0 = octx->op_params[4], d1 = octx->op_params[5];
const int is_2D = octx->op_params[6] == 1;
if (!is_2D) {
return false;
}
if (octx->dst->type != HTP_TYPE_F16 && octx->dst->type != HTP_TYPE_F32) {
return false;
}
const uint32_t KH = octx->src[0]->ne[1], KW = octx->src[0]->ne[0];
if (s0 != (int32_t) KW || s1 != (int32_t) KH) {
return false; // non-overlapping
}
if (p0 != 0 || p1 != 0) {
return false; // no padding
}
if (d0 != 1 || d1 != 1) {
return false; // no dilation
}
return true;
}
// Sizes the per-thread 2x(src,dst) VTCM ping-pong for the patch-embed DMA path.
// Returns false if it doesn't fit the VTCM budget (caller falls back).
static bool im2col_patchembed_dma_fits(struct htp_ops_context * octx,
struct htp_im2col_context * ictx,
uint32_t n_threads) {
const uint32_t IC = octx->src[1]->ne[2], IW = octx->src[1]->ne[0];
const uint32_t KH = octx->src[0]->ne[1], KW = octx->src[0]->ne[0];
const uint32_t OW = octx->dst->ne[1];
const uint32_t patch_stride = IC * KH * KW;
ictx->pe_src_row_bytes = hex_round_up(IC * KH * IW * sizeof(float), 256);
const uint32_t dst_elem = (octx->dst->type == HTP_TYPE_F16) ? sizeof(__fp16) : sizeof(float);
ictx->pe_dst_row_bytes = hex_round_up(OW * patch_stride * dst_elem, 256);
// 2 src + 2 dst buffers per thread (ping-pong), src region first then dst.
struct htp_im2col_vtcm_layout L;
htp_im2col_vtcm_layout_build(&L, ictx->pe_src_row_bytes, ictx->pe_dst_row_bytes, n_threads);
if (L.total_bytes > octx->ctx->vtcm_size) {
return false;
}
uint8_t * const base = octx->ctx->vtcm_base;
ictx->pe_vtcm_src = VTCM_LAYOUT_PTR(uint8_t, base, L.off_src);
ictx->pe_vtcm_dst = VTCM_LAYOUT_PTR(uint8_t, base, L.off_dst);
ictx->pe_src_size_per_thread = (uint32_t) L.src_bytes_per_thread;
ictx->pe_dst_size_per_thread = (uint32_t) L.dst_bytes_per_thread;
return true;
}
int op_im2col(struct htp_ops_context * octx) {
const struct htp_tensor * src1 = octx->src[1];
const struct htp_tensor * dst = octx->dst;
if (src1->type != HTP_TYPE_F32 || (dst->type != HTP_TYPE_F16 && dst->type != HTP_TYPE_F32)) {
FARF(ERROR, "im2col: only (F32 image -> F16/F32 columns) supported");
return HTP_STATUS_NO_SUPPORT;
}
if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
return HTP_STATUS_OK;
}
const uint32_t N = src1->ne[3];
const uint32_t OH = dst->ne[2];
const uint32_t OW = dst->ne[1];
const uint32_t total_patches = N * OH * OW;
const uint32_t total_rows = N * OH;
uint32_t patch_base = 0;
uint32_t npatches = total_patches;
if (octx->ctx->mdev.count > 1) {
const uint32_t patch_size = dst->nb[1];
const uint32_t patches_per_chunk = (patch_size > 0) ? (HEX_L2_LINE_SIZE / hex_gcd_u32(patch_size, HEX_L2_LINE_SIZE)) : 1;
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(total_patches, htp_tensor_mdev_data_aligned(dst) ? patches_per_chunk : 0, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
patch_base = range.start;
npatches = range.count;
}
uint32_t row_base = 0;
uint32_t nrows = total_rows;
if (octx->ctx->mdev.count > 1) {
const uint32_t row_size = dst->nb[2];
const uint32_t rows_per_chunk = (row_size > 0) ? (HEX_L2_LINE_SIZE / hex_gcd_u32(row_size, HEX_L2_LINE_SIZE)) : 1;
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(total_rows, htp_tensor_mdev_data_aligned(dst) ? rows_per_chunk : 0, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
row_base = range.start;
nrows = range.count;
}
if (npatches == 0 && nrows == 0) {
return HTP_STATUS_OK;
}
const uint32_t n_threads = MIN(octx->n_threads, MAX(npatches, 1));
struct htp_im2col_context ictx = { 0 };
ictx.octx = octx;
ictx.patch_base = patch_base;
ictx.npatches = npatches;
ictx.npatches_per_thread = (npatches + n_threads - 1) / n_threads;
// Clean non-overlapping patch-embed -> DMA kernel (if it fits VTCM);
// everything else (padding/dilation/stride edges) -> pure-DDR kernel.
if (im2col_use_patchembed_dma(octx) && nrows > 0) {
const uint32_t pth = MIN(octx->n_threads, nrows);
if (pth > 0 && im2col_patchembed_dma_fits(octx, &ictx, pth)) {
ictx.pe_row_base = row_base;
ictx.pe_nrows = nrows;
ictx.pe_rows_per_thread = (nrows + pth - 1) / pth;
if (dst->type == HTP_TYPE_F16) {
work_queue_run(octx->ctx->work_queue, im2col_patchembed_dma_thread, &ictx, pth);
} else {
work_queue_run(octx->ctx->work_queue, im2col_patchembed_dma_f32_thread, &ictx, pth);
}
return HTP_STATUS_OK;
}
// else: doesn't fit -> fall through to the pure-DDR kernel below.
}
if (npatches == 0) {
return HTP_STATUS_OK;
}
if (dst->type == HTP_TYPE_F16) {
work_queue_run(octx->ctx->work_queue, im2col_patchembed_thread, &ictx, n_threads);
} else {
work_queue_run(octx->ctx->work_queue, im2col_patchembed_f32_thread, &ictx, n_threads);
}
return HTP_STATUS_OK;
}

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#ifndef HTP_MATMUL_OPS_H
#define HTP_MATMUL_OPS_H
#include <stdint.h>
#include <stddef.h>
#include "htp-ops.h"
#include "hex-fastdiv.h"
#include "hex-common.h"
#include "htp-vtcm.h"
#ifdef __cplusplus
extern "C" {
#endif
// --- HMX Tile Constraints ---
#define HTP_MM_HMX_TILE_N_COLS 32
#define HTP_MM_HMX_TILE_N_ROWS 32
#define HTP_MM_HMX_TILE_SIZE (32 * 32 * sizeof(__fp16)) // 2048 bytes
#define HTP_MM_HMX_TILE_N_ELMS 1024
#define HTP_MM_HMX_MIN_NROWS 4
// --- Weight Repacked Tile Sizes ---
#define HTP_MM_WEIGHT_TILE_SIZE_Q4_0 576
#define HTP_MM_WEIGHT_TILE_SIZE_Q4_1 640
#define HTP_MM_WEIGHT_TILE_SIZE_Q8_0 1088
#define HTP_MM_WEIGHT_TILE_SIZE_IQ4_NL 576
#define HTP_MM_WEIGHT_TILE_SIZE_MXFP4 544
// --- Weight Repacked Aligned Tile Sizes ---
#define HTP_MM_WEIGHT_ALIGNED_TILE_SIZE_Q4_0 640
#define HTP_MM_WEIGHT_ALIGNED_TILE_SIZE_Q4_1 640
#define HTP_MM_WEIGHT_ALIGNED_TILE_SIZE_Q8_0 1152
#define HTP_MM_WEIGHT_ALIGNED_TILE_SIZE_IQ4_NL 640
#define HTP_MM_WEIGHT_ALIGNED_TILE_SIZE_MXFP4 640
// --- Activation Tiled Block Sizes (including padding) ---
#define HTP_MM_ACT_TILE_SIZE_Q8_0 1152
#define HTP_MM_ACT_TILE_SIZE_Q8_1 1280
#define HTP_MM_MAX_PREFETCH 16
// --- Solver Cost Model Penalty Weights (HMX-specific) ---
#define HTP_MM_HMX_COST_W_DEQUANT 3 // cost penalty for quantized weight loading/dequantization
#define HTP_MM_HMX_COST_A_CONVERT 2 // cost penalty for activation loading/conversion
// --- DMA Activation Transfer Configuration ---
#define HTP_MM_DMA_ACT_ROWS_PER_STEP 2
#define HTP_MM_DMA_ACT_MULTIPLIER (2 * HTP_MM_DMA_ACT_ROWS_PER_STEP)
enum htp_mm_kernel_type {
HTP_MM_KERNEL_UNSUPPORTED = 0,
// HMX paths
HTP_MM_KERNEL_HMX_2D,
HTP_MM_KERNEL_HMX_F16_BATCHED,
// HVX floating-point paths
HTP_MM_KERNEL_HVX_F16_F16_VTCM,
HTP_MM_KERNEL_HVX_F16_F16_DDR,
HTP_MM_KERNEL_HVX_F16_F32_DDR,
HTP_MM_KERNEL_HVX_F32_F32_VTCM,
HTP_MM_KERNEL_HVX_F32_F32_DDR,
HTP_MM_KERNEL_HVX_F32_F16_DDR,
// HVX quantized paths
HTP_MM_KERNEL_HVX_QUANT_ROW, // standard row-wise parallel quantization
HTP_MM_KERNEL_HVX_QUANT_BLOCK, // parallel block-wise quantization
HTP_MM_KERNEL_HVX_QUANT_ROW_FLAT, // row-wise fallback flat quantization
};
// Op-specific struct for precomputed matmul params
struct htp_mm_kernel_params {
int32_t kernel_type; // enum htp_mm_kernel_type
int32_t pipeline; // 1 = pipelined execution, 0 = standard
int32_t m_chunk; // Row chunk size (M chunk)
int32_t n_chunk; // Col chunk size (N chunk)
int32_t n_threads; // Number of threads to spawn
int32_t n_act_threads; // Number of threads for activation preparation
int32_t n_hmx; // 1 = use HMX, 0 = use HVX
int32_t n_prefetch; // Prefetch lookahead buffers/rows in VTCM
int32_t tile_size; // Weight tile size
int32_t aligned_tile_size; // Aligned weight tile size (padded to 128)
int32_t src1_row_size; // Row size for quantized activation
int32_t vtcm_size; // Total required scratchpad size in VTCM
int32_t vtcm_src0_size; // src0 scratchpad size in VTCM
int32_t vtcm_src1_size; // src1 scratchpad size in VTCM
int32_t vtcm_src2_size; // src2 scratchpad size in VTCM (fused only)
int32_t vtcm_src3_size; // src3 scratchpad size in VTCM (fused only)
int32_t vtcm_dst_size; // dst scratchpad size in VTCM
int32_t n_weights; // Number of weights for fused NX
// Precomputed division values
struct fastdiv_values div_ne12_ne1;
struct fastdiv_values div_ne1;
struct fastdiv_values div_r2;
struct fastdiv_values div_r3;
struct fastdiv_values div_ne11;
struct fastdiv_values div_n_act_threads;
struct fastdiv_values div_ne00_padded;
};
#if defined(__cplusplus)
static_assert(sizeof(struct htp_mm_kernel_params) <= 128, "htp_matmul_kernel_params is too large for kernel_params blob");
#else
_Static_assert(sizeof(struct htp_mm_kernel_params) <= 128, "htp_matmul_kernel_params is too large for kernel_params blob");
#endif
struct mmid_row_mapping {
uint32_t i1;
uint32_t i2;
};
// Search for optimal (mc, nc) chunk sizes within VTCM budget.
static inline int htp_mm_hmx_compute_chunks(size_t vtcm_total,
size_t overhead,
size_t per_n_cost,
size_t per_m_cost,
size_t per_mn_cost,
size_t m,
size_t n,
size_t m_block_cost,
size_t n_block_cost,
size_t * m_chunk_out,
size_t * n_chunk_out,
size_t * total_out) {
if (m == 0 || n == 0) return -1;
if (vtcm_total <= overhead) return -1;
if (per_n_cost == 0 || per_m_cost == 0 || per_mn_cost == 0) return -1;
const size_t usable = vtcm_total - overhead;
size_t best_cost = SIZE_MAX;
size_t best_mn = 0;
size_t best_m = 0, best_n = 0;
const size_t max_nc_budget = (usable / per_n_cost);
const size_t n_max = hex_align_down(hex_smin((size_t)n, max_nc_budget), HTP_MM_HMX_TILE_N_COLS);
for (size_t nc = n_max; nc >= HTP_MM_HMX_TILE_N_COLS; nc -= HTP_MM_HMX_TILE_N_COLS) {
size_t n_fixed = 0, ncmn = 0, mc_denom = 0;
if (hex_mul_overflow(nc, per_n_cost, &n_fixed)) continue;
if (n_fixed >= usable) goto next_nc;
if (hex_mul_overflow(nc, per_mn_cost, &ncmn)) goto next_nc;
if (hex_add_overflow(per_m_cost, ncmn, &mc_denom) || mc_denom == 0) goto next_nc;
{
size_t remain = usable - n_fixed;
size_t mc = remain / mc_denom;
mc = hex_align_down(mc, HTP_MM_HMX_TILE_N_ROWS);
mc = hex_smin(mc, m);
if (mc == 0) {
goto next_nc;
}
size_t mblocks = ((size_t) m + mc - 1) / mc;
size_t nblocks = ((size_t) n + nc - 1) / nc;
size_t cost = mblocks * m_block_cost + nblocks * n_block_cost;
size_t mn = mc * nc;
if (cost < best_cost || (cost == best_cost && mn > best_mn)) {
best_cost = cost;
best_mn = mn;
best_m = mc;
best_n = nc;
}
}
next_nc:
if (nc == HTP_MM_HMX_TILE_N_COLS) break; // avoid size_t underflow
}
if (best_m == 0 || best_n == 0) return -1;
// Compute exact total (with overflow checks)
size_t t0 = 0, t1 = 0, t2 = 0, mn = 0, total = 0;
if (hex_mul_overflow(best_n, per_n_cost, &t0)) return -1;
if (hex_mul_overflow(best_m, per_m_cost, &t1)) return -1;
if (hex_mul_overflow(best_m, best_n, &mn)) return -1;
if (hex_mul_overflow(mn, per_mn_cost, &t2)) return -1;
if (hex_add_overflow(t0, t1, &total)) return -1;
if (hex_add_overflow(total, t2, &total)) return -1;
if (hex_add_overflow(total, overhead, &total)) return -1;
*m_chunk_out = best_m;
*n_chunk_out = best_n;
*total_out = total;
return 0;
}
// --- Tile Size Helpers ---
static inline uint32_t htp_mm_get_weight_tile_size(int weight_type) {
switch (weight_type) {
case HTP_TYPE_Q4_0:
case HTP_TYPE_IQ4_NL:
return HTP_MM_WEIGHT_TILE_SIZE_Q4_0;
case HTP_TYPE_Q4_1:
return HTP_MM_WEIGHT_TILE_SIZE_Q4_1;
case HTP_TYPE_Q8_0:
return HTP_MM_WEIGHT_TILE_SIZE_Q8_0;
case HTP_TYPE_MXFP4:
return HTP_MM_WEIGHT_TILE_SIZE_MXFP4;
default:
return 0;
}
}
static inline uint32_t htp_mm_get_weight_aligned_tile_size(int weight_type) {
switch (weight_type) {
case HTP_TYPE_Q4_0:
case HTP_TYPE_IQ4_NL:
return HTP_MM_WEIGHT_ALIGNED_TILE_SIZE_Q4_0;
case HTP_TYPE_Q4_1:
return HTP_MM_WEIGHT_ALIGNED_TILE_SIZE_Q4_1;
case HTP_TYPE_Q8_0:
return HTP_MM_WEIGHT_ALIGNED_TILE_SIZE_Q8_0;
case HTP_TYPE_MXFP4:
return HTP_MM_WEIGHT_ALIGNED_TILE_SIZE_MXFP4;
default:
return 0;
}
}
// --- Activation/Row Size Helpers ---
static inline size_t htp_mm_q8_0_tiled_row_size(uint32_t ne) {
const uint32_t ne_padded = ((ne + 127) / 128) * 128;
const uint32_t nb_32 = ne_padded / 32;
return nb_32 * HTP_MM_ACT_TILE_SIZE_Q8_0;
}
static inline size_t htp_mm_q8_1_tiled_row_size(uint32_t ne) {
const uint32_t ne_padded = ((ne + 127) / 128) * 128;
const uint32_t nb_32 = ne_padded / 32;
return nb_32 * HTP_MM_ACT_TILE_SIZE_Q8_1;
}
static inline size_t htp_mm_q8_0_flat_row_size(uint32_t ne) {
const uint32_t quants_size = hex_align_up(ne, 128);
const uint32_t num_scales = (ne + 31) / 32;
const uint32_t scales_size = hex_align_up(num_scales * 2, 128);
return quants_size + scales_size;
}
static inline size_t htp_mm_q8_1_flat_row_size(uint32_t ne) {
const uint32_t quants_size = hex_align_up(ne, 128);
const uint32_t num_scales = (ne + 31) / 32;
const uint32_t scales_size = hex_align_up(num_scales * 4, 128);
return quants_size + scales_size;
}
static inline size_t htp_mm_get_tiled_row_stride(int weight_type, uint32_t k) {
uint32_t nb = (k + QK_Q4_0_TILED - 1) / QK_Q4_0_TILED;
switch (weight_type) {
case HTP_TYPE_Q4_0:
case HTP_TYPE_IQ4_NL:
case HTP_TYPE_Q4_1:
case HTP_TYPE_Q8_0:
case HTP_TYPE_MXFP4:
return (size_t) nb * htp_mm_get_weight_tile_size(weight_type);
case HTP_TYPE_F16:
return (size_t) k * sizeof(__fp16);
case HTP_TYPE_F32:
return (size_t) k * sizeof(float);
default:
return 0;
}
}
static inline size_t htp_mm_round_up(size_t n, size_t m) {
return ((n + m - 1) / m) * m;
}
static inline bool htp_mm_hmx_pipeline(uint32_t m) {
return m > 32;
}
static inline void htp_mm_hmx_get_2d_chunk_costs(
int wtype, uint32_t k, bool pipeline, uint32_t aligned_tile_size,
size_t * size_per_n_out, size_t * size_per_m_out, size_t * size_per_mn_out
) {
const bool is_quant = (wtype != HTP_TYPE_F16 && wtype != HTP_TYPE_F32);
const size_t row_stride = htp_mm_get_tiled_row_stride(wtype, k);
const size_t vec_dot_size = k * sizeof(uint16_t);
const uint32_t n_k_tiles = k / HTP_MM_HMX_TILE_N_COLS;
const size_t qweight_row_stride = is_quant ? (size_t)(n_k_tiles * aligned_tile_size) / 32 : 0;
*size_per_n_out = (pipeline ? 2 : 1) * (is_quant ? qweight_row_stride : row_stride) +
(pipeline ? 2 * vec_dot_size : vec_dot_size);
*size_per_m_out = vec_dot_size;
*size_per_mn_out = (pipeline ? 2 : 1) * sizeof(uint16_t);
}
static inline void htp_mm_hmx_get_batched_chunk_costs(
uint32_t k, uint32_t group_size,
size_t * size_per_n_out, size_t * size_per_m_out, size_t * size_per_mn_out
) {
const size_t vec_dot_size = k * sizeof(uint16_t);
*size_per_n_out = 3 * vec_dot_size;
*size_per_m_out = group_size * vec_dot_size;
*size_per_mn_out = sizeof(uint16_t);
}
static inline size_t htp_mm_hmx_get_2d_overhead(bool pipeline, bool is_matmul_id) {
size_t num_regions = pipeline ? 7 : (is_matmul_id ? 4 : 5);
return num_regions * HTP_MM_HMX_TILE_SIZE + 256;
}
static inline size_t htp_mm_hmx_get_batched_overhead(void) {
return 5 * HTP_MM_HMX_TILE_SIZE + 256;
}
struct htp_mm_hmx_vtcm_layout {
// Byte offsets from vtcm_base for each region
size_t off_weight[2]; // [1] is only used when pipelined
size_t off_act;
size_t off_act_f32; // fp32 activation conversion scratch
size_t off_dst[2]; // [1] is only used when pipelined
size_t off_scratch[2]; // dequantization scratch pads
size_t off_scales; // HMX scales (256 bytes)
// Cached sizes of regions for HMX kernel use
size_t weight_area_bytes;
size_t act_area_bytes;
size_t act_f32_bytes;
size_t output_area_bytes;
size_t scratch_bytes[2];
size_t act_head_stride;
size_t total_bytes;
};
struct htp_mm_hvx_vtcm_layout {
// Byte offsets from vtcm_base for each region
size_t off_src1; // vtcm_src1 (activation)
size_t off_src0; // vtcm_src0 (weight/Wk)
size_t off_src2; // vtcm_src2 (Wq / fused only)
size_t off_src3; // vtcm_src3 (Wv / fused only)
size_t off_dst; // vtcm_dst (output scratch)
// Cached sizes
size_t src0_bytes;
size_t src1_bytes;
size_t src2_bytes;
size_t src3_bytes;
size_t dst_bytes;
size_t total_bytes;
};
static inline void htp_mm_hmx_vtcm_layout_build(
struct htp_mm_hmx_vtcm_layout * L,
int kernel_type,
int wtype,
uint32_t k,
size_t mc,
size_t nc,
uint32_t group_size,
bool use_dma_activation,
bool pipeline,
uint32_t act_threads,
uint32_t aligned_tile_size
) {
size_t off = 0;
if (kernel_type == HTP_MM_KERNEL_HMX_F16_BATCHED) {
const size_t vec_dot_size = k * sizeof(uint16_t);
const size_t act_head_stride = mc * k;
const size_t weight_area_size = hex_align_up(nc * vec_dot_size, HTP_MM_HMX_TILE_SIZE);
const size_t activation_area_size = hex_align_up(group_size * act_head_stride * sizeof(uint16_t), HTP_MM_HMX_TILE_SIZE);
const size_t output_area_size = hex_align_up(group_size * mc * nc * sizeof(uint16_t), HTP_MM_HMX_TILE_SIZE);
const size_t scratch_area_size = hex_align_up(nc * vec_dot_size, HTP_MM_HMX_TILE_SIZE);
const size_t min_f32_size = use_dma_activation
? hex_align_up(act_threads * HTP_MM_DMA_ACT_MULTIPLIER * k * sizeof(float), 128) : 0;
// Group A: Permanent activation tiles and scales
size_t off_group_a = 0;
VTCM_LAYOUT_ALLOC(off_group_a, off_act, activation_area_size);
VTCM_LAYOUT_ALLOC(off_group_a, off_scales, HTP_MM_HMX_TILE_SIZE); // Padded to 2K for alignment and future persistent data
// Group B: Compute-only buffers (starts at off_group_a)
size_t off_group_b = off_group_a;
VTCM_LAYOUT_ALLOC(off_group_b, off_weight[0], weight_area_size);
VTCM_LAYOUT_ALLOC_OPTIONAL(off_group_b, off_weight[1], weight_area_size, false);
VTCM_LAYOUT_ALLOC(off_group_b, off_dst[0], output_area_size);
VTCM_LAYOUT_ALLOC_OPTIONAL(off_group_b, off_dst[1], output_area_size, false);
VTCM_LAYOUT_ALLOC(off_group_b, off_scratch[0], scratch_area_size);
VTCM_LAYOUT_ALLOC(off_group_b, off_scratch[1], scratch_area_size);
const size_t group_b_size = off_group_b - off_group_a;
// Group C: Activation prep temporary buffer (overlaps Group B, starting at off_group_a)
const size_t max_f32_size = act_threads * 64 * k * sizeof(float);
const size_t act_f32_size = use_dma_activation
? hex_align_up(hex_smin(max_f32_size, hex_smax(min_f32_size, group_b_size)), 128) : 0;
size_t off_group_c = off_group_a;
VTCM_LAYOUT_ALLOC_OPTIONAL(off_group_c, off_act_f32, act_f32_size, use_dma_activation);
const size_t group_c_size = off_group_c - off_group_a;
L->weight_area_bytes = weight_area_size;
L->act_area_bytes = activation_area_size;
L->act_f32_bytes = act_f32_size;
L->output_area_bytes = output_area_size;
L->scratch_bytes[0] = scratch_area_size;
L->scratch_bytes[1] = scratch_area_size;
L->act_head_stride = act_head_stride;
off = off_group_a + hex_smax(group_b_size, group_c_size);
} else {
// HTP_MM_KERNEL_HMX_2D
const bool is_quant = (wtype != HTP_TYPE_F16 && wtype != HTP_TYPE_F32);
const size_t row_stride = htp_mm_get_tiled_row_stride(wtype, k);
const size_t vec_dot_size = k * sizeof(uint16_t);
const uint32_t n_k_tiles = k / HTP_MM_HMX_TILE_N_COLS;
const size_t min_f32_size = hex_align_up(act_threads * HTP_MM_DMA_ACT_MULTIPLIER * k * sizeof(float), 128);
const size_t weight_area_size = is_quant
? hex_align_up((nc / 32) * n_k_tiles * aligned_tile_size, HTP_MM_HMX_TILE_SIZE)
: hex_align_up(nc * row_stride, HTP_MM_HMX_TILE_SIZE);
const size_t act_area_size = hex_align_up(mc * vec_dot_size, HTP_MM_HMX_TILE_SIZE);
const size_t output_area_size = hex_align_up(mc * nc * sizeof(__fp16), HTP_MM_HMX_TILE_SIZE);
const size_t scratch0_size = hex_align_up(nc * vec_dot_size, HTP_MM_HMX_TILE_SIZE);
const size_t scratch1_size = pipeline ? scratch0_size : 0;
// Group A: Scales and activation tiles (must not overlap with Group B or C)
size_t off_group_a = 0;
VTCM_LAYOUT_ALLOC(off_group_a, off_scales, HTP_MM_HMX_TILE_SIZE); // Padded to 2K for alignment and future persistent data
VTCM_LAYOUT_ALLOC(off_group_a, off_act, act_area_size);
// Group B: Compute-only buffers (starts at off_group_a)
size_t off_group_b = off_group_a;
VTCM_LAYOUT_ALLOC(off_group_b, off_weight[0], weight_area_size);
VTCM_LAYOUT_ALLOC_OPTIONAL(off_group_b, off_weight[1], weight_area_size, pipeline);
VTCM_LAYOUT_ALLOC(off_group_b, off_dst[0], output_area_size);
VTCM_LAYOUT_ALLOC(off_group_b, off_scratch[0], scratch0_size);
VTCM_LAYOUT_ALLOC_OPTIONAL(off_group_b, off_scratch[1], scratch0_size, pipeline);
VTCM_LAYOUT_ALLOC_OPTIONAL(off_group_b, off_dst[1], output_area_size, pipeline);
const size_t group_b_size = off_group_b - off_group_a;
// Group C: Activation prep temporary buffer (overlaps Group B, starting at off_group_a)
const size_t max_f32_size = act_threads * 64 * k * sizeof(float);
const size_t act_f32_size = hex_align_up(hex_smin(max_f32_size, hex_smax(min_f32_size, group_b_size)), 128);
size_t off_group_c = off_group_a;
VTCM_LAYOUT_ALLOC(off_group_c, off_act_f32, act_f32_size);
const size_t group_c_size = off_group_c - off_group_a;
L->weight_area_bytes = weight_area_size;
L->act_area_bytes = act_area_size;
L->act_f32_bytes = act_f32_size;
L->output_area_bytes = output_area_size;
L->scratch_bytes[0] = scratch0_size;
L->scratch_bytes[1] = scratch1_size;
L->act_head_stride = 0;
off = off_group_a + hex_smax(group_b_size, group_c_size);
}
L->total_bytes = off;
}
static inline void htp_mm_hvx_vtcm_layout_build(
struct htp_mm_hvx_vtcm_layout * L,
int kernel_type,
int wtype,
uint32_t ne10, // k
uint32_t src1_nrows, // m_total
uint32_t n_threads,
size_t dst_row_size,
size_t src0_row_size,
size_t src1_row_size,
size_t src2_row_size,
uint32_t n_prefetch,
bool is_matmul_id,
bool is_fused_nx
) {
size_t src0_sz = 0;
size_t src1_sz = 0;
size_t src2_sz = src2_row_size > 0 ? htp_mm_round_up(src2_row_size, 128) : 0;
size_t src3_sz = 0;
size_t dst_sz = 0;
const bool is_repack = (wtype == HTP_TYPE_Q4_0 || wtype == HTP_TYPE_Q4_1 ||
wtype == HTP_TYPE_Q8_0 || wtype == HTP_TYPE_IQ4_NL ||
wtype == HTP_TYPE_MXFP4);
if (is_fused_nx) {
const size_t src0_row_size_padded = hex_round_up(src0_row_size, 128);
const size_t quant_scratch_size = hex_round_up(ne10 * sizeof(float), QK_Q8_0_TILED * sizeof(float)) * n_threads;
size_t weight_sz_per_thread = 0;
if (is_repack) {
uint32_t aligned_tile_size = htp_mm_get_weight_aligned_tile_size(wtype);
uint32_t n_k_tiles = hex_round_up(ne10, 32) / 32;
uint32_t tile_row_size = n_k_tiles * aligned_tile_size;
weight_sz_per_thread = hex_round_up(n_prefetch * tile_row_size, 128);
} else {
weight_sz_per_thread = hex_round_up(n_prefetch * src0_row_size_padded, 128);
}
size_t flat_act_row_size = (wtype == HTP_TYPE_Q4_1) ? htp_mm_q8_1_flat_row_size(ne10) : htp_mm_q8_0_flat_row_size(ne10);
size_t tiled_act_row_size = (wtype == HTP_TYPE_Q4_1) ? htp_mm_q8_1_tiled_row_size(ne10) : htp_mm_q8_0_tiled_row_size(ne10);
size_t act_sz = (kernel_type == HTP_MM_KERNEL_HVX_QUANT_ROW_FLAT)
? hex_round_up(flat_act_row_size * src1_nrows, 128)
: hex_round_up(tiled_act_row_size * src1_nrows, 128);
src0_sz = weight_sz_per_thread * n_threads; // shared single-weight prefetch buffer
src1_sz = act_sz; // quantized activation buffer
src2_sz = 0;
src3_sz = 0;
dst_sz = quant_scratch_size;
} else if (is_matmul_id) {
const size_t src0_row_size_padded = htp_mm_round_up(src0_row_size, 128);
const size_t src1_row_size_tiled = (wtype == HTP_TYPE_Q4_1) ? htp_mm_q8_1_tiled_row_size(ne10)
: htp_mm_q8_0_tiled_row_size(ne10);
size_t src0_sz_per_thread = htp_mm_round_up(n_prefetch * src0_row_size_padded, 256);
src1_sz = htp_mm_round_up(src1_row_size_tiled * src1_nrows, 256);
if (is_repack) {
const uint32_t aligned_tile_size = htp_mm_get_weight_aligned_tile_size(wtype);
const uint32_t n_k_tiles = ne10 / 32;
const uint32_t tile_row_size = n_k_tiles * aligned_tile_size;
size_t repacked_vtcm_size = htp_mm_round_up(n_prefetch * tile_row_size, 256);
src0_sz_per_thread = repacked_vtcm_size;
}
src0_sz = src0_sz_per_thread * n_threads;
dst_sz = htp_mm_round_up(ne10 * sizeof(float), QK_Q8_0_TILED * sizeof(float)) * n_threads;
} else {
const size_t src0_row_size_padded = htp_mm_round_up(src0_row_size, 128);
const size_t dst_nrows = (src1_nrows > 1) ? 0 : 1;
switch (kernel_type) {
case HTP_MM_KERNEL_HVX_F16_F16_VTCM: {
size_t f16_src1_row_size = htp_mm_round_up(ne10 * 2, 128);
src1_sz = htp_mm_round_up(f16_src1_row_size * src1_nrows, 256);
src0_sz = htp_mm_round_up(n_prefetch * src0_row_size_padded, 256) * n_threads;
dst_sz = dst_nrows > 0 ? htp_mm_round_up(dst_row_size, 128) * n_threads : 0;
break;
}
case HTP_MM_KERNEL_HVX_F16_F32_DDR:
case HTP_MM_KERNEL_HVX_F16_F16_DDR:
case HTP_MM_KERNEL_HVX_F32_F32_DDR:
case HTP_MM_KERNEL_HVX_F32_F16_DDR: {
src0_sz = htp_mm_round_up(n_prefetch * src0_row_size, 256) * n_threads;
src1_sz = htp_mm_round_up(n_prefetch * src1_row_size, 256) * n_threads;
dst_sz = dst_nrows > 0 ? htp_mm_round_up(dst_row_size, 128) * n_threads : 0;
break;
}
case HTP_MM_KERNEL_HVX_F32_F32_VTCM: {
size_t f32_src1_row_size = htp_mm_round_up(ne10 * 4, 128);
src1_sz = htp_mm_round_up(f32_src1_row_size * src1_nrows, 256);
src0_sz = htp_mm_round_up(n_prefetch * src0_row_size_padded, 256) * n_threads;
dst_sz = dst_nrows > 0 ? htp_mm_round_up(dst_row_size, 128) * n_threads : 0;
break;
}
case HTP_MM_KERNEL_HVX_QUANT_BLOCK:
case HTP_MM_KERNEL_HVX_QUANT_ROW: {
size_t q_src1_row_size = (wtype == HTP_TYPE_Q4_1) ? htp_mm_q8_1_tiled_row_size(ne10) : htp_mm_q8_0_tiled_row_size(ne10);
src0_sz = htp_mm_round_up(n_prefetch * src0_row_size_padded, 256);
src1_sz = htp_mm_round_up(q_src1_row_size * src1_nrows, 256);
src0_sz = src0_sz * n_threads;
if (is_repack) {
uint32_t aligned_tile_size = htp_mm_get_weight_aligned_tile_size(wtype);
uint32_t n_k_tiles = ne10 / 32;
uint32_t tile_row_size = n_k_tiles * aligned_tile_size;
size_t repacked_vtcm_size = htp_mm_round_up(n_prefetch * tile_row_size, 256);
src0_sz = repacked_vtcm_size * n_threads;
}
size_t quant_scratch_size_per_thread = htp_mm_round_up(ne10 * sizeof(float), QK_Q8_0_TILED * sizeof(float));
size_t dst_slice_per_thread = (dst_nrows > 0 && src1_nrows == 1) ? htp_mm_round_up((dst_row_size + n_threads - 1) / n_threads, 128) : 0;
size_t dst_size_per_thread = (dst_slice_per_thread > quant_scratch_size_per_thread) ? dst_slice_per_thread : quant_scratch_size_per_thread;
dst_sz = dst_size_per_thread * n_threads;
break;
}
case HTP_MM_KERNEL_HVX_QUANT_ROW_FLAT: {
size_t q_src1_row_size = (wtype == HTP_TYPE_Q4_1) ? htp_mm_q8_1_flat_row_size(ne10) : htp_mm_q8_0_flat_row_size(ne10);
src0_sz = htp_mm_round_up(n_prefetch * src0_row_size_padded, 256);
src1_sz = htp_mm_round_up(q_src1_row_size * src1_nrows, 256);
src0_sz = src0_sz * n_threads;
if (is_repack) {
uint32_t aligned_tile_size = htp_mm_get_weight_aligned_tile_size(wtype);
uint32_t n_k_tiles = ne10 / 32;
uint32_t tile_row_size = n_k_tiles * aligned_tile_size;
size_t repacked_vtcm_size = htp_mm_round_up(n_prefetch * tile_row_size, 256);
src0_sz = repacked_vtcm_size * n_threads;
}
size_t quant_scratch_size_per_thread = htp_mm_round_up(ne10 * sizeof(float), QK_Q8_0_TILED * sizeof(float));
size_t dst_slice_per_thread = dst_nrows > 0 ? htp_mm_round_up((dst_row_size + n_threads - 1) / n_threads, 128) : 0;
size_t dst_size_per_thread = (dst_slice_per_thread > quant_scratch_size_per_thread) ? dst_slice_per_thread : quant_scratch_size_per_thread;
dst_sz = dst_size_per_thread * n_threads;
break;
}
default:
break;
}
}
size_t off = 0;
VTCM_LAYOUT_ALLOC(off, off_src0, src0_sz);
VTCM_LAYOUT_ALLOC(off, off_src1, src1_sz);
VTCM_LAYOUT_ALLOC(off, off_src2, src2_sz);
VTCM_LAYOUT_ALLOC(off, off_src3, src3_sz);
VTCM_LAYOUT_ALLOC(off, off_dst, dst_sz);
L->src0_bytes = src0_sz;
L->src1_bytes = src1_sz;
L->src2_bytes = src2_sz;
L->src3_bytes = src3_sz;
L->dst_bytes = dst_sz;
L->total_bytes = off;
}
static inline size_t htp_mm_hmx_get_2d_vtcm_size(
int wtype, uint32_t k, size_t mc, size_t nc, bool pipeline, uint32_t act_threads, uint32_t aligned_tile_size
) {
struct htp_mm_hmx_vtcm_layout L;
htp_mm_hmx_vtcm_layout_build(&L, HTP_MM_KERNEL_HMX_2D, wtype, k, mc, nc, 1, false, pipeline, act_threads, aligned_tile_size);
return L.total_bytes;
}
static inline size_t htp_mm_hmx_get_batched_vtcm_size(
int wtype, uint32_t k, size_t mc, size_t nc, uint32_t group_size, bool use_dma_activation, bool pipeline, uint32_t act_threads) {
(void)pipeline;
struct htp_mm_hmx_vtcm_layout L;
htp_mm_hmx_vtcm_layout_build(&L, HTP_MM_KERNEL_HMX_F16_BATCHED, wtype, k, mc, nc, group_size, use_dma_activation, false, act_threads, 0);
return L.total_bytes;
}
static inline bool htp_mm_hmx_solve_batched_params(
int wtype,
uint32_t k,
uint32_t ne01_padded,
uint32_t ne11,
uint32_t group_size,
bool use_dma_activation,
int n_threads,
bool pipeline,
size_t vtcm_budget,
size_t * m_chunk_out,
size_t * n_chunk_out,
int * act_threads_out,
size_t * vtcm_size_out
) {
size_t best_mblocks = SIZE_MAX;
int best_act_threads = 0;
size_t best_m_chunk = 0;
size_t best_n_chunk = 0;
size_t best_vtcm_size = 0;
int act_threads = n_threads;
while (act_threads >= 1) {
size_t group_overhead = htp_mm_hmx_get_batched_overhead();
size_t group_size_per_n, group_size_per_m, group_size_per_mn;
htp_mm_hmx_get_batched_chunk_costs(k, group_size, &group_size_per_n, &group_size_per_m, &group_size_per_mn);
size_t m_chunk_candidate = 0;
size_t n_chunk_candidate = 0;
size_t vtcm_size_candidate = 0;
if (htp_mm_hmx_compute_chunks(vtcm_budget, group_overhead, group_size_per_n, group_size_per_m, group_size_per_mn, hex_align_up(ne11, 32), ne01_padded,
(size_t) ne01_padded * HTP_MM_HMX_COST_W_DEQUANT, (size_t) ne11 * HTP_MM_HMX_COST_A_CONVERT,
&m_chunk_candidate, &n_chunk_candidate, &vtcm_size_candidate) == 0) {
size_t exact_size = htp_mm_hmx_get_batched_vtcm_size(wtype, k, m_chunk_candidate, n_chunk_candidate, group_size, use_dma_activation, pipeline, act_threads);
if (exact_size <= vtcm_budget) {
size_t mblocks = ((size_t) ne11 + m_chunk_candidate - 1) / m_chunk_candidate;
if (mblocks < best_mblocks || (mblocks == best_mblocks && act_threads > best_act_threads)) {
best_mblocks = mblocks;
best_act_threads = act_threads;
best_m_chunk = m_chunk_candidate;
best_n_chunk = n_chunk_candidate;
best_vtcm_size = exact_size;
}
}
}
if (act_threads == 1) {
act_threads = 0;
} else {
act_threads /= 2;
}
}
if (best_act_threads > 0) {
*m_chunk_out = best_m_chunk;
*n_chunk_out = best_n_chunk;
*vtcm_size_out = best_vtcm_size;
*act_threads_out = best_act_threads;
return true;
}
return false;
}
static inline bool htp_mm_hmx_solve_2d_params(
int wtype,
uint32_t k,
uint32_t m_id_rows,
uint32_t ne01_padded,
uint32_t ne11_padded,
uint32_t m_for_cost,
int n_threads,
bool pipeline,
bool is_matmul_id,
uint32_t aligned_tile_size,
size_t vtcm_budget,
size_t * m_chunk_out,
size_t * n_chunk_out,
int * act_threads_out,
size_t * vtcm_size_out
) {
size_t best_mblocks = SIZE_MAX;
int best_act_threads = 0;
size_t best_m_chunk = 0;
size_t best_n_chunk = 0;
size_t best_vtcm_size = 0;
const int m_for_chunks = is_matmul_id ? hex_align_up(m_id_rows, 32) : ne11_padded;
int act_threads = n_threads;
while (act_threads >= 1) {
size_t simple_2d_overhead = htp_mm_hmx_get_2d_overhead(pipeline, is_matmul_id);
size_t simple_2d_size_per_n, simple_2d_size_per_m, simple_2d_size_per_mn;
htp_mm_hmx_get_2d_chunk_costs(wtype, k, pipeline, aligned_tile_size, &simple_2d_size_per_n, &simple_2d_size_per_m, &simple_2d_size_per_mn);
size_t m_chunk_candidate = 0;
size_t n_chunk_candidate = 0;
size_t vtcm_size_candidate = 0;
if (htp_mm_hmx_compute_chunks(vtcm_budget, simple_2d_overhead, simple_2d_size_per_n, simple_2d_size_per_m, simple_2d_size_per_mn, m_for_chunks, ne01_padded,
(size_t) ne01_padded * HTP_MM_HMX_COST_W_DEQUANT, (size_t) m_for_cost * HTP_MM_HMX_COST_A_CONVERT,
&m_chunk_candidate, &n_chunk_candidate, &vtcm_size_candidate) == 0) {
size_t exact_size = htp_mm_hmx_get_2d_vtcm_size(wtype, k, m_chunk_candidate, n_chunk_candidate, pipeline, is_matmul_id ? 0 : act_threads, aligned_tile_size);
if (exact_size <= vtcm_budget) {
size_t mblocks = ((size_t) m_for_cost + m_chunk_candidate - 1) / m_chunk_candidate;
if (mblocks < best_mblocks || (mblocks == best_mblocks && act_threads > best_act_threads)) {
best_mblocks = mblocks;
best_act_threads = act_threads;
best_m_chunk = m_chunk_candidate;
best_n_chunk = n_chunk_candidate;
best_vtcm_size = exact_size;
}
}
}
if (act_threads == 1) {
act_threads = 0;
} else {
act_threads /= 2;
}
}
if (best_act_threads > 0) {
*m_chunk_out = best_m_chunk;
*n_chunk_out = best_n_chunk;
*vtcm_size_out = best_vtcm_size;
*act_threads_out = best_act_threads;
return true;
}
return false;
}
#ifdef __cplusplus
}
#endif
#endif // HTP_MATMUL_OPS_H

View File

@@ -0,0 +1,558 @@
#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <HAP_perf.h>
#include <string.h>
#include "hex-dma.h"
#include "hvx-utils.h"
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "hex-common.h"
#include "hex-profile.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "htp-tensor.h"
/* Circular wrap: maps any integer x into [0, n) */
static inline uint32_t wrap_around(int32_t x, uint32_t n) {
return (uint32_t)(((x % (int32_t)n) + (int32_t)n) % (int32_t)n);
}
/* Decompose a flat dst row index into (i1, i2, i3) */
static inline void pad_decompose_row(uint32_t ir, uint32_t ne1, uint32_t ne2,
uint32_t *i1, uint32_t *i2, uint32_t *i3) {
*i1 = ir % ne1;
*i2 = (ir / ne1) % ne2;
*i3 = ir / (ne1 * ne2);
}
/* Return non-zero if row (i1,i2,i3) falls in the non-padded interior */
static inline int pad_is_interior(uint32_t i1, uint32_t i2, uint32_t i3,
int32_t lp1, int32_t rp1, uint32_t ne1,
int32_t lp2, int32_t rp2, uint32_t ne2,
int32_t lp3, int32_t rp3, uint32_t ne3) {
return ((int32_t)i1 >= lp1 && (int32_t)i1 < (int32_t)ne1 - rp1) &&
((int32_t)i2 >= lp2 && (int32_t)i2 < (int32_t)ne2 - rp2) &&
((int32_t)i3 >= lp3 && (int32_t)i3 < (int32_t)ne3 - rp3);
}
/* Compute the DDR src row pointer for a zero-pad interior row */
static inline const uint8_t * pad_src_row_ptr(const struct htp_tensor * src,
uint32_t i1, uint32_t i2, uint32_t i3,
int32_t lp1, int32_t lp2, int32_t lp3) {
return (const uint8_t *) src->data
+ (i1 - (uint32_t)lp1) * src->nb[1]
+ (i2 - (uint32_t)lp2) * src->nb[2]
+ (i3 - (uint32_t)lp3) * src->nb[3];
}
/* Compute the DDR src row pointer for a circular row (wrap-around indexing) */
static inline const uint8_t * pad_circ_src_row_ptr(const struct htp_tensor * src,
uint32_t i1, uint32_t i2, uint32_t i3,
int32_t lp1, int32_t lp2, int32_t lp3) {
return (const uint8_t *) src->data
+ wrap_around((int32_t)i1 - lp1, src->ne[1]) * src->nb[1]
+ wrap_around((int32_t)i2 - lp2, src->ne[2]) * src->nb[2]
+ wrap_around((int32_t)i3 - lp3, src->ne[3]) * src->nb[3];
}
struct htp_pad_context {
struct htp_ops_context * octx;
int32_t lp0, rp0;
int32_t lp1, rp1;
int32_t lp2, rp2;
int32_t lp3, rp3;
uint32_t nrows_per_thread;
uint32_t total_dst_rows;
uint32_t row_start;
size_t type_size;
// Row sizes for DMA kernel (populated when VTCM is available)
size_t src_row_size;
size_t src_row_size_aligned;
size_t dst_row_size;
size_t dst_row_size_aligned;
};
#define htp_pad_preamble \
const struct htp_tensor * src = octx->src[0]; \
const struct htp_tensor * dst = octx->dst; \
\
const uint32_t ne00 = src->ne[0]; \
const uint32_t nb00 = src->nb[0]; \
\
const uint32_t ne0 = dst->ne[0]; \
const uint32_t ne1 = dst->ne[1]; \
const uint32_t ne2 = dst->ne[2]; \
const uint32_t ne3 = dst->ne[3]; \
\
const uint32_t nb1 = dst->nb[1]; \
const uint32_t nb2 = dst->nb[2]; \
const uint32_t nb3 = dst->nb[3]; \
\
const int32_t lp0 = pctx->lp0, rp0 = pctx->rp0; \
const int32_t lp1 = pctx->lp1, rp1 = pctx->rp1; \
const int32_t lp2 = pctx->lp2, rp2 = pctx->rp2; \
const int32_t lp3 = pctx->lp3, rp3 = pctx->rp3; \
\
const size_t type_size = pctx->type_size; \
\
const uint32_t row_start = pctx->row_start + pctx->nrows_per_thread * ith; \
const uint32_t row_end = MIN(row_start + pctx->nrows_per_thread, pctx->row_start + pctx->total_dst_rows);
#define htp_pad_dma_preamble \
const size_t src_row_size = pctx->src_row_size; \
const size_t src_row_size_aligned = pctx->src_row_size_aligned; \
const size_t dst_row_size = pctx->dst_row_size; \
const size_t dst_row_size_aligned = pctx->dst_row_size_aligned; \
\
uint8_t * src_spad_base = octx->src0_spad.data + ith * octx->src0_spad.size_per_thread; \
uint8_t * dst_spad_base = octx->dst_spad.data + ith * octx->dst_spad.size_per_thread; \
\
dma_queue * dma = octx->ctx->dma[ith];
// ---------------------------------------------------------------------------
// HVX vectorized PAD kernel
// ---------------------------------------------------------------------------
static void pad_job_per_thread_hvx(unsigned int nth, unsigned int ith, void * data) {
const struct htp_pad_context * pctx = (const struct htp_pad_context *) data;
struct htp_ops_context * octx = pctx->octx;
htp_pad_preamble;
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, row_start);
for (uint32_t dst_row = row_start; dst_row < row_end; dst_row++) {
uint32_t i1, i2, i3;
pad_decompose_row(dst_row, ne1, ne2, &i1, &i2, &i3);
uint8_t * dst_ptr = (uint8_t *) dst->data + i1 * nb1 + i2 * nb2 + i3 * nb3;
const int interior = pad_is_interior(i1, i2, i3,
lp1, rp1, ne1,
lp2, rp2, ne2,
lp3, rp3, ne3);
if (!interior) {
hvx_splat_f32_u(dst_ptr, 0.0f, ne0);
} else {
const uint8_t * src_ptr = pad_src_row_ptr(src, i1, i2, i3, lp1, lp2, lp3);
if (lp0 > 0) {
hvx_splat_f32_u(dst_ptr, 0.0f, (uint32_t)lp0);
}
uint8_t * dst_row_start = dst_ptr + (size_t)lp0 * type_size;
if (nb00 == type_size) {
hvx_copy_f32_uu(dst_row_start, src_ptr, ne00);
} else {
for (uint32_t i = 0; i < ne00; i++) {
memcpy(dst_row_start + i * type_size,
src_ptr + (size_t)i * nb00,
type_size);
}
}
if (rp0 > 0) {
hvx_splat_f32_u(dst_ptr + ((size_t)lp0 + ne00) * type_size, 0.0f, (uint32_t)rp0);
}
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, row_start);
FARF(HIGH, "pad-hvx %d/%d: (%ux%ux%ux%u) -> (%ux%ux%ux%u) rows %u:%u\n",
ith, nth,
src->ne[0], src->ne[1], src->ne[2], src->ne[3],
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
row_start, row_end);
}
// ---------------------------------------------------------------------------
// HVX + DMA PAD kernel - aligned, double-buffered
// ---------------------------------------------------------------------------
static void pad_job_per_thread_hvx_dma(unsigned int nth, unsigned int ith, void * data) {
const struct htp_pad_context * pctx = (const struct htp_pad_context *) data;
struct htp_ops_context * octx = pctx->octx;
htp_pad_preamble;
htp_pad_dma_preamble;
// -----------------------------------------------------------------------
// Priming phase: push 2 pairs of (dummy_dst_DMA, src_DMA) to seed the
// double-buffer pipeline before the main loop begins.
// -----------------------------------------------------------------------
for (uint32_t ir = row_start, spad_idx = 0; ir < row_end && spad_idx < 2; ir++, spad_idx++) {
uint8_t * src_spad_cur = src_spad_base + spad_idx * src_row_size_aligned;
uint8_t * dst_spad_cur = dst_spad_base + spad_idx * dst_row_size_aligned;
dma_queue_push_vtcm_to_ddr(dma,
dma_make_ptr((uint8_t *)dst->data, dst_spad_cur),
dst_row_size, dst_row_size_aligned, 0);
uint32_t i1, i2, i3;
pad_decompose_row(ir, ne1, ne2, &i1, &i2, &i3);
const int interior = pad_is_interior(i1, i2, i3,
lp1, rp1, ne1,
lp2, rp2, ne2,
lp3, rp3, ne3);
const uint8_t * src_ptr = interior
? pad_src_row_ptr(src, i1, i2, i3, lp1, lp2, lp3) : NULL;
// Interior row: real DMA (1 row) from DDR to VTCM.
// Border row: null DMA (nrows=0)
dma_queue_push_ddr_to_vtcm(dma,
dma_make_ptr(src_spad_cur,
src_ptr ? src_ptr : (const uint8_t *)src_spad_cur),
src_row_size_aligned, src_row_size, src_ptr ? 1 : 0);
}
// -----------------------------------------------------------------------
// Main loop: pop completed DMAs, compute in VTCM with aligned HVX ops,
// push dst DMA and prefetch src for the next+1 row.
// -----------------------------------------------------------------------
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
for (uint32_t ir = row_start; ir < row_end; ir++) {
uint8_t * dst_spad_cur = (uint8_t *) dma_queue_pop(dma).src;
uint8_t * src_spad_cur = (uint8_t *) dma_queue_pop(dma).dst;
uint32_t i1, i2, i3;
pad_decompose_row(ir, ne1, ne2, &i1, &i2, &i3);
uint8_t * dst_ptr = (uint8_t *) dst->data + i1 * nb1 + i2 * nb2 + i3 * nb3;
const int interior = pad_is_interior(i1, i2, i3,
lp1, rp1, ne1,
lp2, rp2, ne2,
lp3, rp3, ne3);
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
if (!interior) {
hvx_splat_f32_a(dst_spad_cur, 0.0f, ne0);
} else {
hvx_splat_f32_a(dst_spad_cur, 0.0f, ne0);
uint8_t * dst_interior = dst_spad_cur + (size_t)lp0 * type_size;
if ((uintptr_t)dst_interior % VLEN == 0) {
hvx_copy_f32_aa(dst_interior, src_spad_cur, ne00);
} else {
hvx_copy_f32_ua(dst_interior, src_spad_cur, ne00);
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
dma_queue_push_vtcm_to_ddr(dma,
dma_make_ptr(dst_ptr, dst_spad_cur),
dst_row_size, dst_row_size_aligned, 1);
const uint32_t next_row = ir + 2;
if (next_row < row_end) {
uint32_t ni1, ni2, ni3;
pad_decompose_row(next_row, ne1, ne2, &ni1, &ni2, &ni3);
const int next_interior = pad_is_interior(ni1, ni2, ni3,
lp1, rp1, ne1,
lp2, rp2, ne2,
lp3, rp3, ne3);
const uint8_t * next_src_ptr = next_interior
? pad_src_row_ptr(src, ni1, ni2, ni3, lp1, lp2, lp3) : NULL;
dma_queue_push_ddr_to_vtcm(dma,
dma_make_ptr(src_spad_cur,
next_src_ptr ? next_src_ptr : (const uint8_t *)src_spad_cur),
src_row_size_aligned, src_row_size, next_src_ptr ? 1 : 0);
}
}
dma_queue_flush(dma);
FARF(HIGH, "pad-hvx-dma %d/%d: (%ux%ux%ux%u) -> (%ux%ux%ux%u) rows %u:%u\n",
ith, nth,
src->ne[0], src->ne[1], src->ne[2], src->ne[3],
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
row_start, row_end);
}
// ---------------------------------------------------------------------------
// HVX circular PAD kernel
// ---------------------------------------------------------------------------
static void pad_job_per_thread_hvx_circular(unsigned int nth, unsigned int ith, void * data) {
const struct htp_pad_context * pctx = (const struct htp_pad_context *) data;
struct htp_ops_context * octx = pctx->octx;
htp_pad_preamble;
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, row_start);
for (uint32_t dst_row = row_start; dst_row < row_end; dst_row++) {
uint32_t i1, i2, i3;
pad_decompose_row(dst_row, ne1, ne2, &i1, &i2, &i3);
uint8_t * dst_ptr = (uint8_t *) dst->data + i1 * nb1 + i2 * nb2 + i3 * nb3;
const uint8_t * src_row = pad_circ_src_row_ptr(src, i1, i2, i3, lp1, lp2, lp3);
if (nb00 == type_size) {
if (lp0 > 0) {
if ((uint32_t)lp0 < 32) {
memcpy(dst_ptr,
src_row + (size_t)(ne00 - (uint32_t)lp0) * type_size,
(size_t)lp0 * type_size);
} else {
hvx_copy_f32_uu(dst_ptr,
src_row + (size_t)(ne00 - (uint32_t)lp0) * type_size,
(uint32_t)lp0);
}
}
hvx_copy_f32_uu(dst_ptr + (size_t)lp0 * type_size, src_row, ne00);
if (rp0 > 0) {
if ((uint32_t)rp0 < 32) {
memcpy(dst_ptr + ((size_t)lp0 + ne00) * type_size,
src_row,
(size_t)rp0 * type_size);
} else {
hvx_copy_f32_uu(dst_ptr + ((size_t)lp0 + ne00) * type_size,
src_row,
(uint32_t)rp0);
}
}
} else {
for (uint32_t i = 0; i < (uint32_t)lp0; i++) {
*(float *)(dst_ptr + i * type_size) =
*(const float *)(src_row + (size_t)(ne00 - (uint32_t)lp0 + i) * nb00);
}
for (uint32_t i = 0; i < ne00; i++) {
*(float *)(dst_ptr + ((size_t)lp0 + i) * type_size) =
*(const float *)(src_row + (size_t)i * nb00);
}
for (uint32_t i = 0; i < (uint32_t)rp0; i++) {
*(float *)(dst_ptr + ((size_t)lp0 + ne00 + i) * type_size) =
*(const float *)(src_row + (size_t)i * nb00);
}
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, row_start);
FARF(HIGH, "pad-hvx-circ %d/%d: (%ux%ux%ux%u) -> (%ux%ux%ux%u) rows %u:%u\n",
ith, nth,
src->ne[0], src->ne[1], src->ne[2], src->ne[3],
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
row_start, row_end);
}
// ---------------------------------------------------------------------------
// HVX + DMA circular PAD kernel - aligned, double-buffered
// ---------------------------------------------------------------------------
static void pad_job_per_thread_hvx_circular_dma(unsigned int nth, unsigned int ith, void * data) {
const struct htp_pad_context * pctx = (const struct htp_pad_context *) data;
struct htp_ops_context * octx = pctx->octx;
htp_pad_preamble;
htp_pad_dma_preamble;
// -----------------------------------------------------------------------
// Priming phase: push 2 pairs of (dummy_dst_DMA, src_DMA) to seed the
// double-buffer pipeline. Every row is a real src DMA (no null DMAs).
// -----------------------------------------------------------------------
for (uint32_t ir = row_start, spad_idx = 0; ir < row_end && spad_idx < 2; ir++, spad_idx++) {
uint8_t * src_spad_cur = src_spad_base + spad_idx * src_row_size_aligned;
uint8_t * dst_spad_cur = dst_spad_base + spad_idx * dst_row_size_aligned;
dma_queue_push_vtcm_to_ddr(dma,
dma_make_ptr((uint8_t *)dst->data, dst_spad_cur),
dst_row_size, dst_row_size_aligned, 0);
uint32_t pi1, pi2, pi3;
pad_decompose_row(ir, ne1, ne2, &pi1, &pi2, &pi3);
dma_queue_push_ddr_to_vtcm(dma,
dma_make_ptr(src_spad_cur, pad_circ_src_row_ptr(src, pi1, pi2, pi3, lp1, lp2, lp3)),
src_row_size_aligned, src_row_size, 1);
}
// -----------------------------------------------------------------------
// Main loop: pop completed DMAs, assemble circular row in VTCM with
// aligned HVX ops, push dst DMA and prefetch src for the next+1 row.
// -----------------------------------------------------------------------
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
for (uint32_t ir = row_start; ir < row_end; ir++) {
uint8_t * dst_spad_cur = (uint8_t *) dma_queue_pop(dma).src;
uint8_t * src_spad_cur = (uint8_t *) dma_queue_pop(dma).dst;
uint32_t i1, i2, i3;
pad_decompose_row(ir, ne1, ne2, &i1, &i2, &i3);
uint8_t * dst_ptr = (uint8_t *) dst->data + i1 * nb1 + i2 * nb2 + i3 * nb3;
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
if (lp0 > 0) {
uint8_t * dst_left = dst_spad_cur;
const uint8_t * src_left = src_spad_cur + (size_t)(ne00 - (uint32_t)lp0) * type_size;
if ((uint32_t)lp0 < 32) {
memcpy(dst_left, src_left, (size_t)lp0 * type_size);
} else {
hvx_copy_f32_uu(dst_left, src_left, (uint32_t)lp0);
}
}
{
uint8_t * dst_mid = dst_spad_cur + (size_t)lp0 * type_size;
if ((uintptr_t)dst_mid % VLEN == 0) {
hvx_copy_f32_aa(dst_mid, src_spad_cur, ne00);
} else {
hvx_copy_f32_ua(dst_mid, src_spad_cur, ne00);
}
}
if (rp0 > 0) {
uint8_t * dst_right = dst_spad_cur + ((size_t)lp0 + ne00) * type_size;
if ((uint32_t)rp0 < 32) {
memcpy(dst_right, src_spad_cur, (size_t)rp0 * type_size);
} else {
if ((uintptr_t)dst_right % VLEN == 0) {
hvx_copy_f32_aa(dst_right, src_spad_cur, (uint32_t)rp0);
} else {
hvx_copy_f32_ua(dst_right, src_spad_cur, (uint32_t)rp0);
}
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir);
dma_queue_push_vtcm_to_ddr(dma,
dma_make_ptr(dst_ptr, dst_spad_cur),
dst_row_size, dst_row_size_aligned, 1);
const uint32_t next_row = ir + 2;
if (next_row < row_end) {
uint32_t nri1, nri2, nri3;
pad_decompose_row(next_row, ne1, ne2, &nri1, &nri2, &nri3);
dma_queue_push_ddr_to_vtcm(dma,
dma_make_ptr(src_spad_cur,
pad_circ_src_row_ptr(src, nri1, nri2, nri3, lp1, lp2, lp3)),
src_row_size_aligned, src_row_size, 1);
}
}
dma_queue_flush(dma);
FARF(HIGH, "pad-hvx-circ-dma %d/%d: (%ux%ux%ux%u) -> (%ux%ux%ux%u) rows %u:%u\n",
ith, nth,
src->ne[0], src->ne[1], src->ne[2], src->ne[3],
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
row_start, row_end);
}
int op_pad(struct htp_ops_context * octx) {
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * dst = octx->dst;
// Only F32 supported
size_t type_size;
switch (src0->type) {
case HTP_TYPE_F32: type_size = 4; break;
default:
FARF(ERROR, "pad-hvx: unsupported type %u\n", src0->type);
return HTP_STATUS_NO_SUPPORT;
}
if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
return HTP_STATUS_OK;
}
const int32_t lp0 = octx->op_params[0];
const int32_t rp0 = octx->op_params[1];
const int32_t lp1 = octx->op_params[2];
const int32_t rp1 = octx->op_params[3];
const int32_t lp2 = octx->op_params[4];
const int32_t rp2 = octx->op_params[5];
const int32_t lp3 = octx->op_params[6];
const int32_t rp3 = octx->op_params[7];
const int32_t circular = octx->op_params[8];
const uint32_t ne0 = dst->ne[0];
const uint32_t ne00 = src0->ne[0];
const uint32_t total_dst_rows = dst->ne[1] * dst->ne[2] * dst->ne[3];
const size_t dst_row_size = (size_t)ne0 * type_size;
uint32_t row_start = 0;
uint32_t nrows = total_dst_rows;
if (octx->ctx->mdev.count > 1) {
uint32_t rows_per_chunk = 0;
htp_tensor_mdev_rows_per_chunk(dst, type_size, (uint32_t) dst_row_size, &rows_per_chunk);
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(total_dst_rows, rows_per_chunk, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
row_start = range.start;
nrows = range.count;
}
if (nrows == 0) {
return HTP_STATUS_OK;
}
const uint32_t n_threads = octx->n_threads;
const size_t src_row_size = (size_t)ne00 * type_size;
const size_t src_row_size_aligned = hex_round_up(src_row_size, VLEN);
const size_t dst_row_size_aligned = hex_round_up(dst_row_size, VLEN);
// Total VTCM needed: 2 buffers (ping+pong) for src and dst, per thread
const size_t vtcm_needed = (size_t)n_threads * 2 * (src_row_size_aligned + dst_row_size_aligned);
const int use_dma = (src0->nb[0] == (uint32_t)type_size) && (ne00 >= 512) &&
(octx->ctx->vtcm_size >= vtcm_needed);
if (use_dma) {
octx->src0_spad.size_per_thread = 2 * src_row_size_aligned;
octx->dst_spad.size_per_thread = 2 * dst_row_size_aligned;
octx->src0_spad.size = n_threads * octx->src0_spad.size_per_thread;
octx->dst_spad.size = n_threads * octx->dst_spad.size_per_thread;
octx->src0_spad.data = octx->ctx->vtcm_base;
octx->dst_spad.data = octx->src0_spad.data + octx->src0_spad.size;
octx->src0_spad.src = NULL;
octx->dst_spad.src = NULL;
}
struct htp_pad_context pctx = {
.octx = octx,
.lp0 = lp0, .rp0 = rp0,
.lp1 = lp1, .rp1 = rp1,
.lp2 = lp2, .rp2 = rp2,
.lp3 = lp3, .rp3 = rp3,
.nrows_per_thread = fastdiv(nrows + n_threads - 1, &octx->n_threads_div),
.total_dst_rows = nrows,
.row_start = row_start,
.type_size = type_size,
.src_row_size = src_row_size,
.src_row_size_aligned = src_row_size_aligned,
.dst_row_size = dst_row_size,
.dst_row_size_aligned = dst_row_size_aligned,
};
FARF(HIGH, "pad-hvx%s%s: (%ux%ux%ux%u) -> (%ux%ux%ux%u) pads=(%d,%d,%d,%d,%d,%d,%d,%d)\n",
circular ? "-circ" : "",
use_dma ? "-dma" : "",
src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3],
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
lp0, rp0, lp1, rp1, lp2, rp2, lp3, rp3);
if (circular && use_dma) { work_queue_run(octx->ctx->work_queue, pad_job_per_thread_hvx_circular_dma, &pctx, n_threads); }
else if (circular) { work_queue_run(octx->ctx->work_queue, pad_job_per_thread_hvx_circular, &pctx, n_threads); }
else if (use_dma) { work_queue_run(octx->ctx->work_queue, pad_job_per_thread_hvx_dma, &pctx, n_threads); }
else { work_queue_run(octx->ctx->work_queue, pad_job_per_thread_hvx, &pctx, n_threads); }
return HTP_STATUS_OK;
}

View File

@@ -0,0 +1,169 @@
#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <HAP_perf.h>
#include <string.h>
#include "hvx-utils.h"
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "htp-ctx.h"
#include "hex-common.h"
#include "hex-profile.h"
#include "htp-ops.h"
#include "htp-tensor.h"
struct htp_repeat_context {
struct htp_ops_context * octx;
uint32_t nr0;
uint32_t nr1;
uint32_t nr2;
uint32_t nr3;
uint32_t nrows_per_thread;
uint32_t total_dst_rows; // ne1 * ne2 * ne3
uint32_t row_start;
size_t type_size;
};
static void repeat_job_per_thread(unsigned int nth, unsigned int ith, void * data) {
const struct htp_repeat_context * rctx = (const struct htp_repeat_context *) data;
struct htp_ops_context * octx = rctx->octx;
const struct htp_tensor * src = octx->src[0];
const struct htp_tensor * dst = octx->dst;
const uint32_t ne00 = src->ne[0];
const uint32_t ne01 = src->ne[1];
const uint32_t ne02 = src->ne[2];
const uint32_t ne03 = src->ne[3];
const uint32_t nb00 = src->nb[0];
const uint32_t nb01 = src->nb[1];
const uint32_t nb02 = src->nb[2];
const uint32_t nb03 = src->nb[3];
const uint32_t ne0 = dst->ne[0];
const uint32_t ne1 = dst->ne[1];
const uint32_t ne2 = dst->ne[2];
const uint32_t ne3 = dst->ne[3];
const uint32_t nb0 = dst->nb[0];
const uint32_t nb1 = dst->nb[1];
const uint32_t nb2 = dst->nb[2];
const uint32_t nb3 = dst->nb[3];
const uint32_t nr0 = rctx->nr0;
const uint32_t nr1 = rctx->nr1;
const uint32_t nr2 = rctx->nr2;
const uint32_t nr3 = rctx->nr3;
const size_t row_bytes = ne00 * rctx->type_size;
const uint32_t row_start = rctx->row_start + rctx->nrows_per_thread * ith;
const uint32_t row_end = MIN(row_start + rctx->nrows_per_thread, rctx->row_start + rctx->total_dst_rows);
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, row_start);
for (uint32_t dst_row = row_start; dst_row < row_end; dst_row++) {
// Decompose flat dst row index into (i1, i2, i3)
const uint32_t i1 = dst_row % ne1;
const uint32_t i2 = (dst_row / ne1) % ne2;
const uint32_t i3 = dst_row / (ne1 * ne2);
// Map to source indices (tiling)
const uint32_t k1 = i1 % ne01;
const uint32_t k2 = i2 % ne02;
const uint32_t k3 = i3 % ne03;
const uint8_t * src_row = (const uint8_t *) src->data + k1 * nb01 + k2 * nb02 + k3 * nb03;
uint8_t * dst_base = (uint8_t *) dst->data + i1 * nb1 + i2 * nb2 + i3 * nb3;
// Tile along dimension 0
for (uint32_t i0 = 0; i0 < nr0; i0++) {
uint8_t * dst_ptr = dst_base + i0 * ne00 * nb0;
memcpy(dst_ptr, src_row, row_bytes);
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, row_start);
FARF(HIGH, "repeat %d/%d: (%ux%ux%ux%u) -> (%ux%ux%ux%u) rows %u:%u\n",
ith, nth, src->ne[0], src->ne[1], src->ne[2], src->ne[3],
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
row_start, row_end);
}
int op_repeat(struct htp_ops_context * octx) {
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * dst = octx->dst;
// Validate that dst dims are multiples of src dims
if (dst->ne[0] % src0->ne[0] != 0 ||
dst->ne[1] % src0->ne[1] != 0 ||
dst->ne[2] % src0->ne[2] != 0 ||
dst->ne[3] % src0->ne[3] != 0) {
FARF(ERROR, "repeat: dst dims must be multiples of src dims\n");
return HTP_STATUS_INVAL_PARAMS;
}
size_t type_size;
switch (src0->type) {
case HTP_TYPE_F32: type_size = 4; break;
case HTP_TYPE_F16: type_size = 2; break;
default:
FARF(ERROR, "repeat: unsupported type %u\n", src0->type);
return HTP_STATUS_NO_SUPPORT;
}
if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
return HTP_STATUS_OK;
}
const uint32_t total_dst_rows = dst->ne[1] * dst->ne[2] * dst->ne[3];
const size_t dst_row_size = dst->ne[0] * type_size;
uint32_t row_start = 0;
uint32_t nrows = total_dst_rows;
if (octx->ctx->mdev.count > 1) {
uint32_t rows_per_chunk = 0;
htp_tensor_mdev_rows_per_chunk(dst, type_size, (uint32_t) dst_row_size, &rows_per_chunk);
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(total_dst_rows, rows_per_chunk, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
row_start = range.start;
nrows = range.count;
}
if (nrows == 0) {
return HTP_STATUS_OK;
}
const uint32_t n_threads = octx->n_threads;
struct htp_repeat_context rctx = {
.octx = octx,
.nr0 = dst->ne[0] / src0->ne[0],
.nr1 = dst->ne[1] / src0->ne[1],
.nr2 = dst->ne[2] / src0->ne[2],
.nr3 = dst->ne[3] / src0->ne[3],
.nrows_per_thread = fastdiv(nrows + n_threads - 1, &octx->n_threads_div),
.total_dst_rows = nrows,
.row_start = row_start,
.type_size = type_size,
};
FARF(HIGH, "repeat: (%ux%ux%ux%u) -> (%ux%ux%ux%u) nr=(%u,%u,%u,%u)\n",
src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3],
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
rctx.nr0, rctx.nr1, rctx.nr2, rctx.nr3);
work_queue_run(octx->ctx->work_queue, repeat_job_per_thread, &rctx, n_threads);
return HTP_STATUS_OK;
}

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@@ -0,0 +1,803 @@
#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <HAP_perf.h>
#include <math.h>
#include <string.h>
#include <stdlib.h>
#include "hex-dma.h"
#include "hvx-utils.h"
#include "hex-fastdiv.h"
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "htp-tensor.h"
#include "rope-ops.h"
// Redefined the rope type constants as we can't include ggml.h
#define HTP_ROPE_TYPE_NORMAL 0
#define HTP_ROPE_TYPE_NEOX 2
#define HTP_ROPE_TYPE_MROPE 8
#define HTP_ROPE_TYPE_VISION 24
#define HTP_ROPE_TYPE_IMROPE 40
#define htp_rope_preamble \
const uint32_t ne00 = src0->ne[0]; \
const uint32_t ne01 = src0->ne[1]; \
const uint32_t ne02 = src0->ne[2]; \
const uint32_t ne03 = src0->ne[3]; \
\
const uint32_t ne0 = dst->ne[0]; \
const uint32_t ne1 = dst->ne[1]; \
const uint32_t ne2 = dst->ne[2]; \
const uint32_t ne3 = dst->ne[3]; \
\
const uint32_t nb00 = src0->nb[0]; \
const uint32_t nb01 = src0->nb[1]; \
const uint32_t nb02 = src0->nb[2]; \
const uint32_t nb03 = src0->nb[3]; \
\
const uint32_t nb0 = dst->nb[0]; \
const uint32_t nb1 = dst->nb[1]; \
const uint32_t nb2 = dst->nb[2]; \
const uint32_t nb3 = dst->nb[3];
struct htp_rope_context {
int32_t n_dims;
int32_t n_offs;
int32_t mode;
int32_t n_ctx_orig;
int32_t sections[4];
float freq_base;
float freq_scale;
float ext_factor;
float attn_factor;
float beta_fast;
float beta_slow;
float theta_scale;
float theta_scale_32;
float theta_powers[32];
float corr_dims[2];
uint32_t src0_nrows_per_thread;
struct htp_ops_context * octx;
uint8_t * vtcm_base;
size_t spad_per_thread;
size_t theta_cache_offset;
size_t src0_row_size;
size_t src0_row_stride;
size_t dst_row_size;
size_t dst_row_stride;
size_t src0_row_size_aligned;
uint32_t src0_nrows;
uint32_t row_start;
uint32_t nrows;
struct fastdiv_values div_ne2_ne1;
struct fastdiv_values div_ne1;
};
static float rope_yarn_ramp(const float low, const float high, const int i0) {
const float y = (i0 / 2 - low) / MAX(0.001f, high - low);
return (1 - MIN(1, MAX(0, y)));
}
// Compute one (cos, sin) pair into cache[i0], cache[i0+1] applying YaRN scaling.
static inline void rope_yarn_one(float theta, float freq_scale, float * corr_dims,
uint32_t i0, float ext_factor, float mscale,
float * cache) {
float theta_extrap = theta;
// Get n-d rotational scaling corrected for extrapolation
float theta_interp = freq_scale * theta_extrap;
float theta_final = theta_interp;
float mscale_final = mscale;
if (ext_factor != 0.0f) {
float ramp_mix = rope_yarn_ramp(corr_dims[0], corr_dims[1], i0) * ext_factor;
theta_final = theta_interp * (1 - ramp_mix) + theta_extrap * ramp_mix;
// Get n-d magnitude scaling corrected for interpolation
mscale_final *= 1.0f + 0.1f * logf(1.0f / freq_scale);
}
const uint32_t b = i0 / 64;
const uint32_t k = (i0 % 64) / 2;
cache[b * 64 + k] = cosf(theta_final) * mscale_final;
cache[b * 64 + 32 + k] = sinf(theta_final) * mscale_final;
}
// 32 thetas -> 32 deinterleaved pairs [cos[32] | sin[32]] at cache[i0].
static inline void rope_cache_hvx_32(float * cache, uint32_t i0,
HVX_Vector v_theta,
const float * freq_factors,
HVX_Vector v_freq_scale,
HVX_Vector v_mscale) {
if (freq_factors) {
HVX_Vector v_ff = hvx_vmemu(freq_factors + i0 / 2);
v_theta = hvx_vec_mul_f32_f32(v_theta, hvx_vec_inverse_f32(v_ff));
}
HVX_Vector v_theta_final = hvx_vec_mul_f32_f32(v_theta, v_freq_scale);
HVX_Vector vcos;
HVX_Vector vsin;
hvx_vec_sincos_f32(v_theta_final, &vcos, &vsin);
vcos = hvx_vec_mul_f32_f32(vcos, v_mscale);
vsin = hvx_vec_mul_f32_f32(vsin, v_mscale);
if (((uintptr_t) (cache + i0)) % 128 == 0) {
hvx_vmem(cache + i0 + 0) = vcos;
hvx_vmem(cache + i0 + 32) = vsin;
} else {
hvx_vec_store_u(cache + i0 + 0, 32 * sizeof(float), vcos);
hvx_vec_store_u(cache + i0 + 32, 32 * sizeof(float), vsin);
}
}
static __attribute__((noinline)) void rope_cache_init(const float theta_base,
const float freq_scale,
const float * freq_factors,
float * corr_dims,
const uint32_t n_cache,
const float ext_factor,
const float mscale,
float * cache,
const float theta_scale,
const float * theta_powers,
const float theta_scale_32) {
// ref: https://github.com/jquesnelle/yarn/blob/master/scaled_rope/LlamaYaRNScaledRotaryEmbedding.py
if (ext_factor == 0.0f) {
// Fast path: fully vectorized
// We process 32 pairs (64 elements) per iteration.
const uint32_t n_blocks = n_cache / 64;
HVX_Vector v_theta_powers = hvx_vmemu(theta_powers);
HVX_Vector v_freq_scale = hvx_vec_splat_f32(freq_scale);
HVX_Vector v_mscale = hvx_vec_splat_f32(mscale);
float theta_block = theta_base;
for (uint32_t b = 0; b < n_blocks; b++) {
uint32_t i0 = b * 64;
HVX_Vector v_theta_base = hvx_vec_splat_f32(theta_block);
HVX_Vector v_theta = hvx_vec_mul_f32_f32(v_theta_base, v_theta_powers);
rope_cache_hvx_32(cache, i0, v_theta, freq_factors, v_freq_scale, v_mscale);
theta_block *= theta_scale_32;
}
// Leftovers
float theta = theta_block;
for (uint32_t i0 = n_blocks * 64; i0 < n_cache; i0 += 2) {
const float ff = freq_factors ? freq_factors[i0 / 2] : 1.0f;
rope_yarn_one(theta / ff, freq_scale, corr_dims, i0, ext_factor, mscale, cache);
theta *= theta_scale;
}
} else {
float theta = theta_base;
for (uint32_t i0 = 0; i0 < n_cache; i0 += 2) {
const float ff = freq_factors ? freq_factors[i0 / 2] : 1.0f;
rope_yarn_one(theta / ff, freq_scale, corr_dims, i0, ext_factor, mscale, cache);
theta *= theta_scale;
}
}
}
static inline float mrope_pick_theta(float theta_t, float theta_h, float theta_w, float theta_e,
int sector, const int32_t sections[4], int sec_w, int sec_e,
bool is_imrope) {
if (is_imrope) {
if (sector % 3 == 0 && sector < 3 * sections[0]) { return theta_t; }
else if (sector % 3 == 1 && sector < 3 * sections[1]) { return theta_h; }
else if (sector % 3 == 2 && sector < 3 * sections[2]) { return theta_w; }
else { return theta_e; }
}
if (sector < sections[0]) { return theta_t; }
else if (sector < sec_w) { return theta_h; }
else if (sector < sec_e) { return theta_w; }
else { return theta_e; }
}
// lane j is 1 when (j % 3) == rem
static const float __attribute__((aligned(128))) mrope_mod3_eq0[32] = {
1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0
};
static const float __attribute__((aligned(128))) mrope_mod3_eq1[32] = {
0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1
};
static const float __attribute__((aligned(128))) mrope_mod3_eq2[32] = {
0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0
};
static const float __attribute__((aligned(128))) mrope_k_ramp[32] = {
0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,
16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31
};
static inline HVX_VectorPred mrope_mask_eq1(const float * m) {
return Q6_Q_vcmp_gt_VsfVsf(hvx_vmemu(m), Q6_V_vzero());
}
// IMROPE without wrap: theta[k] = pos[k % 3] * scale^k
static inline HVX_Vector mrope_thetas_imrope_mod3(float pos_t, float pos_h, float pos_w,
uint32_t k0, HVX_Vector v_powers, float scale_block) {
const int r = (int) (k0 % 3);
const float * mt = (r == 0) ? mrope_mod3_eq0 : (r == 1) ? mrope_mod3_eq2 : mrope_mod3_eq1;
const float * mh = (r == 0) ? mrope_mod3_eq1 : (r == 1) ? mrope_mod3_eq0 : mrope_mod3_eq2;
HVX_Vector v = hvx_vec_splat_f32(pos_w);
v = Q6_V_vmux_QVV(mrope_mask_eq1(mh), hvx_vec_splat_f32(pos_h), v);
v = Q6_V_vmux_QVV(mrope_mask_eq1(mt), hvx_vec_splat_f32(pos_t), v);
v = hvx_vec_mul_f32_f32(v, v_powers);
return hvx_vec_mul_f32_f32(v, hvx_vec_splat_f32(scale_block));
}
// Contiguous MROPE without wrap: theta[k] = pos[section(k)] * scale^k
static inline HVX_Vector mrope_thetas_contig(float pos_t, float pos_h, float pos_w, float pos_e,
uint32_t k0, int s0, int sec_w, int sec_e,
HVX_Vector v_powers, float scale_block) {
HVX_Vector v_k = hvx_vec_add_f32_f32(hvx_vec_splat_f32((float) k0), hvx_vmemu(mrope_k_ramp));
HVX_VectorPred lt_s0 = Q6_Q_vcmp_gt_VsfVsf(hvx_vec_splat_f32((float) s0), v_k);
HVX_VectorPred lt_sw = Q6_Q_vcmp_gt_VsfVsf(hvx_vec_splat_f32((float) sec_w), v_k);
HVX_VectorPred lt_se = Q6_Q_vcmp_gt_VsfVsf(hvx_vec_splat_f32((float) sec_e), v_k);
HVX_Vector v = hvx_vec_splat_f32(pos_e);
v = Q6_V_vmux_QVV(lt_se, hvx_vec_splat_f32(pos_w), v);
v = Q6_V_vmux_QVV(lt_sw, hvx_vec_splat_f32(pos_h), v);
v = Q6_V_vmux_QVV(lt_s0, hvx_vec_splat_f32(pos_t), v);
v = hvx_vec_mul_f32_f32(v, v_powers);
return hvx_vec_mul_f32_f32(v, hvx_vec_splat_f32(scale_block));
}
// pos_t/h/w/e: the four position ids for this sequence step (t=time, h=height, w=width, e=extra).
// sections[4]: number of head dims assigned to each position component.
static __attribute__((noinline)) void mrope_cache_init(const float pos_t,
const float pos_h,
const float pos_w,
const float pos_e,
const int32_t sections[4],
const bool is_imrope,
const bool indep_sects,
const float freq_scale,
const float * freq_factors,
float * corr_dims,
const uint32_t n_cache,
const float ext_factor,
const float mscale,
float * cache,
const float theta_scale,
const float * theta_powers,
const float theta_scale_32) {
const int sect_dims = sections[0] + sections[1] + sections[2] + sections[3];
const int sec_w = sections[0] + sections[1];
const int sec_e = sec_w + sections[2];
const uint32_t n_pairs = n_cache / 2;
const bool no_wrap = (sect_dims > 0) && (n_pairs <= (uint32_t) sect_dims);
const bool imrope_mod3 = is_imrope && !indep_sects && no_wrap
&& sections[0] > 0 && sections[1] > 0 && sections[2] > 0
&& n_pairs <= (uint32_t) (3 * sections[0])
&& n_pairs <= (uint32_t) (3 * sections[1])
&& n_pairs <= (uint32_t) (3 * sections[2]);
const bool contig = !is_imrope && !indep_sects && no_wrap;
if (ext_factor == 0.0f && (imrope_mod3 || contig)) {
HVX_Vector v_powers = hvx_vmemu(theta_powers);
HVX_Vector v_freq_scale = hvx_vec_splat_f32(freq_scale);
HVX_Vector v_mscale = hvx_vec_splat_f32(mscale);
float scale_block = 1.0f;
const uint32_t n_blocks = n_cache / 64;
for (uint32_t b = 0; b < n_blocks; b++) {
const uint32_t i0 = b * 64;
const uint32_t k0 = b * 32;
HVX_Vector v_theta = imrope_mod3
? mrope_thetas_imrope_mod3(pos_t, pos_h, pos_w, k0, v_powers, scale_block)
: mrope_thetas_contig(pos_t, pos_h, pos_w, pos_e, k0, sections[0], sec_w, sec_e,
v_powers, scale_block);
rope_cache_hvx_32(cache, i0, v_theta, freq_factors, v_freq_scale, v_mscale);
scale_block *= theta_scale_32;
}
float theta_k = scale_block;
for (uint32_t k = n_blocks * 32; k < n_pairs; k++) {
const uint32_t i0 = 2 * k;
const float pos = mrope_pick_theta(pos_t, pos_h, pos_w, pos_e,
(int) k, sections, sec_w, sec_e, is_imrope);
const float ff = freq_factors ? freq_factors[k] : 1.0f;
rope_yarn_one(pos * theta_k / ff, freq_scale, corr_dims, i0, ext_factor, mscale, cache);
theta_k *= theta_scale;
}
return;
}
float theta_t = pos_t;
float theta_h = pos_h;
float theta_w = pos_w;
float theta_e = pos_e;
const bool use_hvx = (ext_factor == 0.0f);
float __attribute__((aligned(128))) thetas[32];
uint32_t n_thetas = 0;
uint32_t block_i0 = 0;
HVX_Vector v_freq_scale = hvx_vec_splat_f32(freq_scale);
HVX_Vector v_mscale = hvx_vec_splat_f32(mscale);
for (uint32_t i0 = 0; i0 < n_cache; i0 += 2) {
const int sector = (i0 / 2) % sect_dims;
if (indep_sects) {
// Reset theta when crossing into a new section.
if (sector == 0) { theta_t = pos_t; }
else if (sector == sections[0]) { theta_h = pos_h; }
else if (sector == sec_w) { theta_w = pos_w; }
else if (sector == sec_e) { theta_e = pos_e; }
}
const float theta = mrope_pick_theta(theta_t, theta_h, theta_w, theta_e,
sector, sections, sec_w, sec_e, is_imrope);
if (use_hvx) {
if (n_thetas == 0) {
block_i0 = i0;
}
thetas[n_thetas++] = theta;
if (n_thetas == 32) {
rope_cache_hvx_32(cache, block_i0, hvx_vmemu(thetas), freq_factors, v_freq_scale, v_mscale);
n_thetas = 0;
}
} else {
const float ff = freq_factors ? freq_factors[i0 / 2] : 1.0f;
rope_yarn_one(theta / ff, freq_scale, corr_dims, i0, ext_factor, mscale, cache);
}
theta_t *= theta_scale;
theta_h *= theta_scale;
theta_w *= theta_scale;
theta_e *= theta_scale;
}
for (uint32_t k = 0; k < n_thetas; k++) {
const uint32_t i0 = block_i0 + 2 * k;
const float ff = freq_factors ? freq_factors[i0 / 2] : 1.0f;
rope_yarn_one(thetas[k] / ff, freq_scale, corr_dims, i0, ext_factor, mscale, cache);
}
}
#define M_PI 3.1415926535897932384626433
static void rope_corr_dims(int n_dims,
int n_ctx_orig,
float freq_base,
float beta_fast,
float beta_slow,
float * dims) {
float start = floorf(n_dims * logf(n_ctx_orig / (beta_fast * 2 * (float) M_PI)) / (2 * logf(freq_base)));
float end = ceilf(n_dims * logf(n_ctx_orig / (beta_slow * 2 * (float) M_PI)) / (2 * logf(freq_base)));
dims[0] = MAX(0, start);
dims[1] = MIN(n_dims - 1, end);
}
static inline void hvx_rope_neox_mul(HVX_Vector v0, HVX_Vector v1, HVX_Vector vcos, HVX_Vector vsin,
HVX_Vector * o0, HVX_Vector * o1) {
HVX_Vector vx0_c = Q6_Vqf32_vmpy_VsfVsf(v0, vcos);
HVX_Vector vx0_s = Q6_Vqf32_vmpy_VsfVsf(v0, vsin);
HVX_Vector vx1_c = Q6_Vqf32_vmpy_VsfVsf(v1, vcos);
HVX_Vector vx1_s = Q6_Vqf32_vmpy_VsfVsf(v1, vsin);
*o0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vsub_Vqf32Vqf32(vx0_c, vx1_s));
*o1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vqf32(vx0_s, vx1_c));
}
// theta_cache full 32-pair blocks are deinterleaved [cos | sin].
static inline void hvx_rope_neox_f32_aa(float * restrict dst, const float * restrict src0, uint32_t ne, const float * restrict theta_cache) {
const uint32_t he = ne / 2;
const uint32_t nvec = he / 32;
const uint32_t nloe = he % 32;
if (nloe == 0) {
const HVX_Vector * vs = (const HVX_Vector *) src0;
const HVX_Vector * vt = (const HVX_Vector *) theta_cache;
HVX_Vector * vd = (HVX_Vector *) dst;
for (uint32_t i = 0; i < nvec; i++) {
HVX_Vector o0, o1;
hvx_rope_neox_mul(vs[i], vs[nvec + i], vt[i * 2 + 0], vt[i * 2 + 1], &o0, &o1);
vd[i] = o0;
vd[nvec + i] = o1;
}
return;
}
for (uint32_t i = 0; i < nvec; i++) {
HVX_Vector o0, o1;
hvx_rope_neox_mul(((const HVX_Vector *) src0)[i],
hvx_vmemu(src0 + he + i * 32),
((const HVX_Vector *) theta_cache)[i * 2 + 0],
((const HVX_Vector *) theta_cache)[i * 2 + 1],
&o0, &o1);
((HVX_Vector *) dst)[i] = o0;
hvx_vmemu(dst + he + i * 32) = o1;
}
HVX_Vector v0 = hvx_vmemu(src0 + nvec * 32);
HVX_Vector v1 = hvx_vmemu(src0 + he + nvec * 32);
HVX_Vector vcos = hvx_vmemu(theta_cache + nvec * 64);
HVX_Vector vsin = hvx_vmemu(theta_cache + nvec * 64 + 32);
HVX_Vector o0, o1;
hvx_rope_neox_mul(v0, v1, vcos, vsin, &o0, &o1);
hvx_vec_store_u(dst + nvec * 32, nloe * sizeof(float), o0);
hvx_vec_store_u(dst + he + nvec * 32, nloe * sizeof(float), o1);
}
static inline void hvx_rope_f32_aa(float * restrict dst, const float * restrict src0, uint32_t ne, const float * restrict theta_cache) {
const uint32_t nvec = ne / 64;
const uint32_t nloe = ne % 64;
for (uint32_t i = 0; i < nvec; i++) {
HVX_Vector v0 = ((const HVX_Vector *) src0)[i * 2 + 0];
HVX_Vector v1 = ((const HVX_Vector *) src0)[i * 2 + 1];
HVX_Vector vcos = ((const HVX_Vector *) theta_cache)[i * 2 + 0];
HVX_Vector vsin = ((const HVX_Vector *) theta_cache)[i * 2 + 1];
HVX_VectorPair vx0_x1 = Q6_W_vdeal_VVR(v1, v0, -4);
HVX_Vector vx0_c = Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(vx0_x1), vcos);
HVX_Vector vx0_s = Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(vx0_x1), vsin);
HVX_Vector vx1_c = Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(vx0_x1), vcos);
HVX_Vector vx1_s = Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(vx0_x1), vsin);
HVX_Vector v4 = Q6_Vqf32_vsub_Vqf32Vqf32(vx0_c, vx1_s);
HVX_Vector v5 = Q6_Vqf32_vadd_Vqf32Vqf32(vx0_s, vx1_c);
HVX_VectorPair vstore = Q6_W_vshuff_VVR(Q6_Vsf_equals_Vqf32(v5), Q6_Vsf_equals_Vqf32(v4), -4);
((HVX_Vector *) dst)[i * 2 + 0] = Q6_V_lo_W(vstore);
((HVX_Vector *) dst)[i * 2 + 1] = Q6_V_hi_W(vstore);
}
if (nloe > 0) {
if (nloe <= 32) {
HVX_Vector v0 = hvx_vmemu(src0 + nvec * 64);
HVX_Vector vcos = hvx_vmemu(theta_cache + nvec * 64);
HVX_Vector vsin = hvx_vmemu(theta_cache + nvec * 64 + 32);
HVX_VectorPair vx0_x1 = Q6_W_vdeal_VVR(Q6_V_vzero(), v0, -4);
HVX_Vector vx0_c = Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(vx0_x1), vcos);
HVX_Vector vx0_s = Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(vx0_x1), vsin);
HVX_Vector vx1_c = Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(vx0_x1), vcos);
HVX_Vector vx1_s = Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(vx0_x1), vsin);
HVX_Vector v4 = Q6_Vqf32_vsub_Vqf32Vqf32(vx0_c, vx1_s);
HVX_Vector v5 = Q6_Vqf32_vadd_Vqf32Vqf32(vx0_s, vx1_c);
HVX_VectorPair vstore = Q6_W_vshuff_VVR(Q6_Vsf_equals_Vqf32(v5), Q6_Vsf_equals_Vqf32(v4), -4);
hvx_vec_store_u(dst + nvec * 64, nloe * sizeof(float), Q6_V_lo_W(vstore));
} else {
HVX_Vector v0 = hvx_vmemu(src0 + nvec * 64);
HVX_Vector v1 = hvx_vmemu(src0 + nvec * 64 + 32);
HVX_Vector vcos = hvx_vmemu(theta_cache + nvec * 64);
HVX_Vector vsin = hvx_vmemu(theta_cache + nvec * 64 + 32);
HVX_VectorPair vx0_x1 = Q6_W_vdeal_VVR(v1, v0, -4);
HVX_Vector vx0_c = Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(vx0_x1), vcos);
HVX_Vector vx0_s = Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(vx0_x1), vsin);
HVX_Vector vx1_c = Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(vx0_x1), vcos);
HVX_Vector vx1_s = Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(vx0_x1), vsin);
HVX_Vector v4 = Q6_Vqf32_vsub_Vqf32Vqf32(vx0_c, vx1_s);
HVX_Vector v5 = Q6_Vqf32_vadd_Vqf32Vqf32(vx0_s, vx1_c);
HVX_VectorPair vstore = Q6_W_vshuff_VVR(Q6_Vsf_equals_Vqf32(v5), Q6_Vsf_equals_Vqf32(v4), -4);
((HVX_Vector *) dst)[nvec * 2 + 0] = Q6_V_lo_W(vstore);
hvx_vec_store_u(dst + nvec * 64 + 32, (nloe - 32) * sizeof(float), Q6_V_hi_W(vstore));
}
}
}
static void inline rope_basic_f32_inplace(struct htp_rope_context * rctx, uint8_t * src,
uint32_t nr, const float * restrict theta_cache) {
const uint32_t n_offs = rctx->n_offs;
#pragma unroll(4)
for (uint32_t i = 0; i < nr; i++) {
float * s = (float *) (src + i * rctx->src0_row_size_aligned);
hvx_rope_f32_aa(s + n_offs, s + n_offs, rctx->n_dims, theta_cache);
}
}
static void inline rope_neox_f32_inplace(struct htp_rope_context * rctx, uint8_t * src,
uint32_t nr, uint32_t ne, const float * restrict theta_cache) {
const uint32_t n_offs = rctx->n_offs;
#pragma unroll(4)
for (uint32_t i = 0; i < nr; i++) {
float * s = (float *) (src + i * rctx->src0_row_size_aligned);
hvx_rope_neox_f32_aa(s + n_offs, s + n_offs, ne, theta_cache);
}
}
static void rope_job_f32(unsigned int nth, unsigned int ith, void * data) {
struct htp_rope_context * rctx = (struct htp_rope_context *) data;
struct htp_ops_context * octx = rctx->octx;
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * src1 = octx->src[1];
const struct htp_tensor * src2 = octx->src[2];
const struct htp_tensor * dst = octx->dst;
htp_rope_preamble;
const uint32_t src0_nrows = rctx->nrows;
const uint32_t src0_nrows_per_thread = rctx->src0_nrows_per_thread;
const uint32_t src0_start_row = rctx->row_start + src0_nrows_per_thread * ith;
const uint32_t src0_end_row = MIN(src0_start_row + src0_nrows_per_thread, rctx->row_start + src0_nrows);
// no work for this thread
if (src0_start_row >= src0_end_row) {
return;
}
const int32_t mode = rctx->mode;
// MROPE, IMROPE and VISION use NEOX-style pairing for the rotation
const bool is_neox = (mode & HTP_ROPE_TYPE_NEOX) || (mode & HTP_ROPE_TYPE_MROPE);
const bool is_vision = (mode == HTP_ROPE_TYPE_VISION);
// VTCM setup
uint8_t * src0_spad_base = rctx->vtcm_base + (ith * rctx->spad_per_thread);
float * theta_cache = (float *) (src0_spad_base);
src0_spad_base = src0_spad_base + rctx->theta_cache_offset;
dma_queue * dma_queue = octx->ctx->dma[ith];
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
const int32_t * pos = (const int32_t *) src1->data;
const float * freq_factors = src2 ? (const float *) src2->data : NULL;
const uint32_t i3_start = fastdiv(src0_start_row, &rctx->div_ne2_ne1);
const uint32_t rem = fastmodulo(src0_start_row, ne2 * ne1, &rctx->div_ne2_ne1);
const uint32_t i2_start = fastdiv(rem, &rctx->div_ne1);
const uint32_t i1_start = fastmodulo(rem, ne1, &rctx->div_ne1);
uint32_t ir = src0_start_row;
uint32_t prev_i2 = (uint32_t) -1;
uint32_t cur_slot = 0;
for (uint32_t i3 = i3_start; i3 < ne3; i3++) { // batch
const uint32_t i2_init = (i3 == i3_start) ? i2_start : 0;
for (uint32_t i2 = i2_init; i2 < ne2; i2++) { // seq-len
const uint32_t i1_init = (i3 == i3_start && i2 == i2_start) ? i1_start : 0;
for (uint32_t i1 = i1_init; i1 < ne1; ) { // attn-heads
if (ir >= src0_end_row) goto done;
// Rows in this block
const uint32_t nrows = MIN(src0_end_row - ir, ne1 - i1);
// Depth before prefetch
const uint32_t dma_depth = dma_queue_depth(dma_queue);
// Prefetch up to 2 blocks
const uint32_t p_nrows = MIN(nrows, 2 * HTP_ROPE_SPAD_BLOCK);
for (uint32_t pr = 0; pr < p_nrows; pr += HTP_ROPE_SPAD_BLOCK) {
const uint32_t pnr = MIN(nrows - pr, HTP_ROPE_SPAD_BLOCK);
const uint32_t slot = (cur_slot + pr / HTP_ROPE_SPAD_BLOCK) % HTP_ROPE_SPAD_NSLOTS;
uint8_t * spad_slot = rope_spad_slot(src0_spad_base, slot, rctx->src0_row_size_aligned);
const uint8_t * src_addr = (const uint8_t *) src0->data + i3 * nb03 + i2 * nb02 + (i1 + pr) * nb01;
// Dummy DMA transaction for sequencing (interleaving wr, rd, wr, rd, ...)
dma_queue_push(dma_queue, dma_make_ptr((void *) dst->data, spad_slot), 0, 0, 0, 0);
dma_queue_push(dma_queue, dma_make_ptr(spad_slot, src_addr),
rctx->src0_row_size_aligned, rctx->src0_row_stride, rctx->src0_row_size, pnr);
}
// Update theta cache
if (i2 != prev_i2) {
prev_i2 = i2;
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_A_PREP, i2);
// VISION rotates the full row; other modes only rotate n_dims.
const uint32_t n_cache = is_vision ? ne0 : (uint32_t) rctx->n_dims;
const bool is_mrope = (rctx->mode & HTP_ROPE_TYPE_MROPE) != 0;
if (is_mrope) {
// src1 holds four position arrays stacked along ne0:
// pos[i2], pos[i2+ne2], pos[i2+ne2*2], pos[i2+ne2*3]
const bool is_imrope = (rctx->mode == HTP_ROPE_TYPE_IMROPE);
mrope_cache_init(
(float) pos[i2],
(float) pos[i2 + ne2],
(float) pos[i2 + ne2 * 2],
(float) pos[i2 + ne2 * 3],
rctx->sections, is_imrope, is_vision,
rctx->freq_scale, freq_factors, rctx->corr_dims,
n_cache, rctx->ext_factor, rctx->attn_factor,
theta_cache, rctx->theta_scale, rctx->theta_powers, rctx->theta_scale_32);
} else {
rope_cache_init(pos[i2], rctx->freq_scale, freq_factors, rctx->corr_dims,
n_cache, rctx->ext_factor, rctx->attn_factor,
theta_cache, rctx->theta_scale, rctx->theta_powers, rctx->theta_scale_32);
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_A_PREP, i2);
}
// Skip output DMA transactions from prev block (if any)
for (uint32_t d = 0; d < dma_depth; d++) { dma_queue_pop_nowait(dma_queue); }
// Compute loop
const uint32_t ne = is_vision ? ne0 : rctx->n_dims;
const uint32_t base_i1 = i1;
const uint32_t base_ir = ir;
for (uint32_t cnr = 0, cr = 0; cr < nrows; cr += cnr) {
cnr = MIN(nrows - cr, HTP_ROPE_SPAD_BLOCK);
const uint32_t slot = (cur_slot + cr / HTP_ROPE_SPAD_BLOCK) % HTP_ROPE_SPAD_NSLOTS;
const uint32_t cur_ir = base_ir + cr;
const uint32_t cur_i1 = base_i1 + cr;
dma_queue_pop(dma_queue);
uint8_t * cur_spad = (uint8_t *) dma_queue_pop(dma_queue).dst;
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, cur_ir);
if (is_neox || is_vision) {
rope_neox_f32_inplace(rctx, cur_spad, cnr, ne, theta_cache);
} else {
rope_basic_f32_inplace(rctx, cur_spad, cnr, theta_cache);
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, cur_ir);
uint8_t * dst_addr = (uint8_t *) dst->data + i3 * nb3 + i2 * nb2 + cur_i1 * nb1;
dma_queue_push(dma_queue, dma_make_ptr(dst_addr, cur_spad),
rctx->dst_row_stride, rctx->src0_row_size_aligned, rctx->dst_row_size, cnr);
// Prefetch 2 blocks ahead into the slot just freed
if ((cr + 2 * HTP_ROPE_SPAD_BLOCK) < nrows) {
const uint32_t p_cr = cr + 2 * HTP_ROPE_SPAD_BLOCK;
const uint32_t pnr = MIN(nrows - p_cr, HTP_ROPE_SPAD_BLOCK);
const uint32_t p_slot = (cur_slot + p_cr / HTP_ROPE_SPAD_BLOCK) % HTP_ROPE_SPAD_NSLOTS;
uint8_t * p_spad = rope_spad_slot(src0_spad_base, p_slot, rctx->src0_row_size_aligned);
const uint8_t * src_addr = (const uint8_t *) src0->data + i3 * nb03 + i2 * nb02 + (base_i1 + p_cr) * nb01;
dma_queue_push(dma_queue, dma_make_ptr(p_spad, src_addr),
rctx->src0_row_size_aligned, rctx->src0_row_stride, rctx->src0_row_size, pnr);
}
}
const uint32_t n_chunks = (nrows + HTP_ROPE_SPAD_BLOCK - 1) / HTP_ROPE_SPAD_BLOCK;
cur_slot = (cur_slot + n_chunks) % HTP_ROPE_SPAD_NSLOTS;
ir += nrows;
i1 += nrows;
}
}
}
done:
dma_queue_flush(dma_queue);
FARF(HIGH, "rope-f32: %d/%d: (%u:%u)\n", ith, nth, src0_start_row, src0_end_row);
}
static int execute_op_rope_f32(struct htp_ops_context * octx) {
int err = HTP_STATUS_OK;
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * src1 = octx->src[1];
const struct htp_tensor * src2 = octx->src[2];
const struct htp_tensor * dst = octx->dst;
switch (octx->op) {
case HTP_OP_ROPE:
break;
default:
FARF(ERROR, "Unsupported Op %u\n", octx->op);
return HTP_STATUS_NO_SUPPORT;
}
const struct htp_rope_kernel_params * kparams = (const struct htp_rope_kernel_params *) octx->kernel_params;
if (!htp_ops_context_set_n_threads(octx, kparams->n_threads)) {
return HTP_STATUS_INVAL_PARAMS;
}
assert(octx->ctx->vtcm_size >= kparams->vtcm_size);
const uint32_t total_rows = src0->ne[1] * src0->ne[2] * src0->ne[3];
const size_t dst_data_row_size = dst->ne[0] * sizeof(float);
uint32_t row_start = 0;
uint32_t nrows = total_rows;
if (octx->ctx->mdev.count > 1) {
uint32_t rows_per_chunk = 0;
htp_tensor_mdev_rows_per_chunk(dst, sizeof(float), (uint32_t) dst_data_row_size, &rows_per_chunk);
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(
total_rows, rows_per_chunk, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
row_start = range.start;
nrows = range.count;
}
if (nrows == 0) {
return HTP_STATUS_OK;
}
const uint32_t n_threads = octx->n_threads;
const uint32_t ne0 = dst->ne[0];
const size_t src0_row_size = src0->ne[0] * sizeof(float);
const size_t src0_row_stride = src0->nb[1];
const size_t dst_row_size = dst->ne[0] * sizeof(float);
const size_t dst_row_stride = dst->nb[1];
struct htp_rope_context rctx;
memset(&rctx, 0, sizeof(struct htp_rope_context));
rctx.octx = octx;
rctx.vtcm_base = (uint8_t *) octx->ctx->vtcm_base;
rctx.spad_per_thread = kparams->spad_per_thread;
rctx.theta_cache_offset = kparams->theta_cache_offset;
const int32_t * op_params = &octx->op_params[0];
rctx.n_dims = ((const int32_t *) op_params)[1];
rctx.mode = ((const int32_t *) op_params)[2];
rctx.n_ctx_orig = ((const int32_t *) op_params)[4];
rctx.n_offs = ((const int32_t *) op_params)[15];
memcpy(&rctx.freq_base, (int32_t *) op_params + 5, sizeof(float));
memcpy(&rctx.freq_scale, (int32_t *) op_params + 6, sizeof(float));
memcpy(&rctx.ext_factor, (int32_t *) op_params + 7, sizeof(float));
memcpy(&rctx.attn_factor, (int32_t *) op_params + 8, sizeof(float));
memcpy(&rctx.beta_fast, (int32_t *) op_params + 9, sizeof(float));
memcpy(&rctx.beta_slow, (int32_t *) op_params + 10, sizeof(float));
memcpy(&rctx.sections, (int32_t *) op_params + 11, sizeof(int) * 4);
rctx.theta_scale = powf(rctx.freq_base, -2.0f / rctx.n_dims);
rctx.theta_powers[0] = 1.0f;
for (int j = 1; j < 32; j++) {
rctx.theta_powers[j] = rctx.theta_powers[j - 1] * rctx.theta_scale;
}
rctx.theta_scale_32 = rctx.theta_powers[31] * rctx.theta_scale;
rope_corr_dims(rctx.n_dims, rctx.n_ctx_orig, rctx.freq_base, rctx.beta_fast, rctx.beta_slow, rctx.corr_dims);
rctx.src0_row_size = src0_row_size;
rctx.src0_row_stride = src0_row_stride;
rctx.dst_row_size = dst_row_size;
rctx.dst_row_stride = dst_row_stride;
rctx.src0_row_size_aligned = kparams->src0_row_size_aligned;
rctx.src0_nrows = nrows;
rctx.nrows = nrows;
rctx.row_start = row_start;
rctx.src0_nrows_per_thread = fastdiv(nrows + n_threads - 1, &octx->n_threads_div);
rctx.div_ne2_ne1 = kparams->div_ne2_ne1;
rctx.div_ne1 = kparams->div_ne1;
FARF(HIGH, "rope-f32 n-rows %u n-dims %d ne0 %u ext-factor %.6f theta-scale %.6f attn-factor %.6f\n", rctx.src0_nrows, rctx.n_dims, ne0,
rctx.ext_factor, rctx.theta_scale, rctx.attn_factor);
work_queue_run(octx->ctx->work_queue, rope_job_f32, &rctx, n_threads);
return err;
}
int op_rope(struct htp_ops_context * octx) {
switch (octx->src[0]->type) {
case HTP_TYPE_F32:
return execute_op_rope_f32(octx);
default:
return HTP_STATUS_NO_SUPPORT;
}
}

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@@ -0,0 +1,56 @@
#ifndef HTP_ROPE_OPS_H
#define HTP_ROPE_OPS_H
#include "hex-common.h"
#include "hex-fastdiv.h"
#define HTP_ROPE_SPAD_BLOCK 8
#define HTP_ROPE_SPAD_NSLOTS 4
#define HTP_ROPE_SPAD_NROWS (HTP_ROPE_SPAD_BLOCK * HTP_ROPE_SPAD_NSLOTS)
struct htp_rope_kernel_params {
uint32_t n_threads;
uint32_t src0_nrows;
uint32_t src0_nrows_per_thread;
uint32_t vtcm_size;
uint32_t spad_per_thread;
uint32_t theta_cache_offset;
uint32_t src0_row_size_aligned;
struct fastdiv_values div_ne2_ne1;
struct fastdiv_values div_ne1;
};
#if defined(__cplusplus)
static_assert(sizeof(struct htp_rope_kernel_params) <= 128, "htp_rope_kernel_params is too large for kernel_params blob");
#else
_Static_assert(sizeof(struct htp_rope_kernel_params) <= 128, "htp_rope_kernel_params is too large for kernel_params blob");
#endif
struct htp_rope_vtcm_layout {
size_t total_bytes;
size_t bytes_per_thread;
size_t theta_cache_size_aligned;
size_t src0_row_size_aligned;
};
static inline void htp_rope_vtcm_layout_build(
struct htp_rope_vtcm_layout * layout,
uint32_t ne00,
uint32_t n_threads
) {
const size_t src0_row_size = ne00 * sizeof(float);
const size_t src0_row_size_aligned = hex_round_up((uint32_t) src0_row_size, 128);
const size_t theta_cache_size_aligned = hex_round_up((uint32_t) src0_row_size, 256);
layout->src0_row_size_aligned = src0_row_size_aligned;
layout->theta_cache_size_aligned = theta_cache_size_aligned;
layout->bytes_per_thread = theta_cache_size_aligned + HTP_ROPE_SPAD_NROWS * src0_row_size_aligned;
layout->total_bytes = layout->bytes_per_thread * n_threads;
}
static inline uint8_t * rope_spad_slot(uint8_t * base, uint32_t slot, size_t row_size_aligned) {
return base + (slot * HTP_ROPE_SPAD_BLOCK) * row_size_aligned;
}
#endif // HTP_ROPE_OPS_H

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@@ -0,0 +1,260 @@
#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <HAP_perf.h>
#include <math.h>
#include <string.h>
#include "dma-queue.h"
#include "work-queue.h"
#include "hvx-utils.h"
#include "hex-utils.h"
#include "hvx-copy.h"
#include "hvx-quant.h"
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "hex-common.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "htp-tensor.h"
#include "htp/set-rows-ops.h"
#define set_rows_preamble \
const uint32_t ne00 = octx->src[0]->ne[0]; \
const uint32_t ne01 = octx->src[0]->ne[1]; \
const uint32_t ne02 = octx->src[0]->ne[2]; \
const uint32_t ne03 = octx->src[0]->ne[3]; \
\
const uint32_t ne10 = octx->src[1]->ne[0]; \
const uint32_t ne11 = octx->src[1]->ne[1]; \
const uint32_t ne12 = octx->src[1]->ne[2]; \
const uint32_t ne13 = octx->src[1]->ne[3]; \
\
const uint32_t nb01 = octx->src[0]->nb[1]; \
const uint32_t nb02 = octx->src[0]->nb[2]; \
const uint32_t nb03 = octx->src[0]->nb[3]; \
\
const uint32_t nb10 = octx->src[1]->nb[0]; \
const uint32_t nb11 = octx->src[1]->nb[1]; \
const uint32_t nb12 = octx->src[1]->nb[2]; \
\
const uint32_t nb1 = octx->dst->nb[1]; \
const uint32_t nb2 = octx->dst->nb[2]; \
const uint32_t nb3 = octx->dst->nb[3]; \
\
const uint32_t ne0 = octx->dst->ne[0]; \
const uint32_t ne1 = octx->dst->ne[1]; \
const uint32_t ne2 = octx->dst->ne[2]; \
const uint32_t ne3 = octx->dst->ne[3]; \
\
const uint32_t nr = ne01;
struct set_rows_context {
struct htp_ops_context * octx;
const struct htp_set_rows_kernel_params * kparams;
struct htp_set_rows_vtcm_layout vtcm_layout;
uint8_t * vtcm_base;
uint32_t task_start;
uint32_t tasks;
uint32_t tasks_per_thread;
};
#define SET_ROWS_THREAD_DMA_FN(TYPE_NAME, IDX_TYPE, COMPUTE_EXPR) \
static void set_rows_thread_dma_##TYPE_NAME##_##IDX_TYPE(unsigned int nth, unsigned int ith, void *data) { \
struct set_rows_context * srctx = (struct set_rows_context *)data; \
struct htp_ops_context * octx = srctx->octx; \
const struct htp_set_rows_kernel_params * kparams = srctx->kparams; \
set_rows_preamble; \
struct htp_thread_trace * tr = &octx->ctx->trace[ith]; \
const uint32_t dr = srctx->tasks_per_thread; \
const uint32_t ir0 = srctx->task_start + dr * ith; \
if (ir0 >= srctx->task_start + srctx->tasks) { \
return; \
} \
const uint32_t ir1 = MIN(ir0 + dr, srctx->task_start + srctx->tasks); \
dma_queue * dma_queue = octx->ctx->dma[ith]; \
const struct htp_set_rows_vtcm_layout * vtcm_layout = &srctx->vtcm_layout; \
uint8_t * vtcm_src0 = srctx->vtcm_base + vtcm_layout->off_src0 + ith * vtcm_layout->src0_bytes_per_thread; \
uint8_t * vtcm_dst = srctx->vtcm_base + vtcm_layout->off_dst + ith * vtcm_layout->dst_bytes_per_thread; \
const uint32_t src0_row_size = ne00 * sizeof(float); \
const uint32_t dst_row_size = htp_tensor_get_row_size(octx->dst->type, ne00); \
const uint32_t nrows_per_thread = ir1 - ir0; \
const uint32_t total_steps = ne03 * ne02 * nrows_per_thread; \
uint32_t pi_step = 0; \
uint32_t pi02 = 0; \
uint32_t pi03 = 0; \
for (uint32_t step = 0, spad_idx = 0; step < total_steps && spad_idx < 2; ++step, spad_idx++) { \
uint32_t i = ir0 + pi_step; \
const uintptr_t src0_ptr = octx->src[0]->data + i*nb01 + pi02*nb02 + pi03*nb03; \
dma_queue_push(dma_queue, \
dma_make_ptr((void *)octx->dst->data, \
vtcm_dst + spad_idx * vtcm_layout->dst_spad_half_size), \
dst_row_size, vtcm_layout->dst_spad_half_size, dst_row_size, 0); \
dma_queue_push(dma_queue, \
dma_make_ptr((void *)(vtcm_src0 + spad_idx * vtcm_layout->src0_spad_half_size), \
(const void *)src0_ptr), \
vtcm_layout->src0_spad_half_size, src0_row_size, src0_row_size, 1); \
pi_step++; \
if (pi_step == nrows_per_thread) { \
pi_step = 0; \
pi02++; \
if (pi02 == ne02) { \
pi02 = 0; \
pi03++; \
} \
} \
} \
uint32_t ci_step = 0; \
uint32_t ci02 = 0; \
uint32_t ci03 = 0; \
uint32_t ci11_base = 0; \
uint32_t ci12_base = 0; \
for (uint32_t step = 0; step < total_steps; ++step) { \
void * dst_spad = (void *) dma_queue_pop(dma_queue).src; \
void * src_spad = (void *) dma_queue_pop(dma_queue).dst; \
uint32_t i = ir0 + ci_step; \
const uintptr_t src1_addr = octx->src[1]->data + i*nb10 + ci11_base*nb11 + ci12_base*nb12; \
const IDX_TYPE i1 = *(const IDX_TYPE *)src1_addr; \
const bool valid_i1 = ((uint64_t)i1 < (uint64_t)ne1); \
const uint32_t target_i1 = (uint32_t)i1; \
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, step); \
if (valid_i1) { \
COMPUTE_EXPR; \
} \
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, step); \
if (valid_i1) { \
const uintptr_t dst_ptr = octx->dst->data + target_i1*nb1 + ci02*nb2 + ci03*nb3; \
dma_queue_push(dma_queue, \
dma_make_ptr((void *)dst_ptr, (const void *)dst_spad), \
dst_row_size, vtcm_layout->dst_spad_half_size, dst_row_size, 1); \
} else { \
dma_queue_push(dma_queue, \
dma_make_ptr((void *)octx->dst->data, (const void *)dst_spad), \
dst_row_size, vtcm_layout->dst_spad_half_size, dst_row_size, 0); \
} \
const uint32_t next_step = step + 2; \
if (next_step < total_steps) { \
uint32_t ni = ir0 + pi_step; \
const uintptr_t psrc0_ptr = octx->src[0]->data + ni*nb01 + pi02*nb02 + pi03*nb03; \
dma_queue_push(dma_queue, \
dma_make_ptr((void *)src_spad, (const void *)psrc0_ptr), \
vtcm_layout->src0_spad_half_size, src0_row_size, src0_row_size, 1); \
pi_step++; \
if (pi_step == nrows_per_thread) { \
pi_step = 0; \
pi02++; \
if (pi02 == ne02) { \
pi02 = 0; \
pi03++; \
} \
} \
} \
ci_step++; \
if (ci_step == nrows_per_thread) { \
ci_step = 0; \
ci02++; \
ci11_base++; \
if (ci11_base == ne11) { \
ci11_base = 0; \
} \
if (ci02 == ne02) { \
ci02 = 0; \
ci03++; \
ci12_base++; \
if (ci12_base == ne12) { \
ci12_base = 0; \
} \
} \
} \
} \
dma_queue_flush(dma_queue); \
}
SET_ROWS_THREAD_DMA_FN(f32, int32_t, { hvx_copy_f32_uu((uint8_t *)dst_spad, (const uint8_t *)src_spad, ne00); })
SET_ROWS_THREAD_DMA_FN(f32, int64_t, { hvx_copy_f32_uu((uint8_t *)dst_spad, (const uint8_t *)src_spad, ne00); })
SET_ROWS_THREAD_DMA_FN(f16, int32_t, { hvx_copy_f16_f32_uu((uint8_t *)dst_spad, (const uint8_t *)src_spad, ne00); })
SET_ROWS_THREAD_DMA_FN(f16, int64_t, { hvx_copy_f16_f32_uu((uint8_t *)dst_spad, (const uint8_t *)src_spad, ne00); })
SET_ROWS_THREAD_DMA_FN(q8_0, int32_t, { hvx_quantize_row_q8_0_f32(dst_spad, (const float *)src_spad, ne00); })
SET_ROWS_THREAD_DMA_FN(q8_0, int64_t, { hvx_quantize_row_q8_0_f32(dst_spad, (const float *)src_spad, ne00); })
int op_set_rows(struct htp_ops_context * octx) {
const struct htp_set_rows_kernel_params * kparams = (const struct htp_set_rows_kernel_params *)octx->kernel_params;
set_rows_preamble;
if (octx->src[0]->type != HTP_TYPE_F32) {
return HTP_STATUS_NO_SUPPORT;
}
if (octx->dst->type != HTP_TYPE_F32 && octx->dst->type != HTP_TYPE_F16 && octx->dst->type != HTP_TYPE_Q8_0) {
return HTP_STATUS_NO_SUPPORT;
}
if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
return HTP_STATUS_OK;
}
const struct htp_tensor * dst = octx->dst;
const uint32_t total_tasks = kparams->total_tasks;
uint32_t task_start = 0;
uint32_t tasks = total_tasks;
if (octx->ctx->mdev.count > 1) {
const bool can_split = htp_tensor_mdev_data_aligned(dst) && (dst->nb[1] & (HTP_TENSOR_MDEV_LINE_SIZE - 1)) == 0 && !htp_tensor_is_permuted(dst);
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(total_tasks, can_split ? 1 : 0, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
task_start = range.start;
tasks = range.count;
}
if (tasks == 0) {
return HTP_STATUS_OK;
}
if (!htp_ops_context_set_n_threads(octx, (uint32_t) kparams->n_threads)) {
return HTP_STATUS_INVAL_PARAMS;
}
const uint32_t n_threads = octx->n_threads;
// l2fetch the src1 (indices) tensor in the main thread
hex_l2fetch_block((const void *)octx->src[1]->data, octx->src[1]->ne[3] * octx->src[1]->nb[3]);
struct set_rows_context srctx;
srctx.octx = octx;
srctx.kparams = kparams;
srctx.task_start = task_start;
srctx.tasks = tasks;
srctx.tasks_per_thread = fastdiv(tasks + n_threads - 1, &octx->n_threads_div);
htp_set_rows_vtcm_layout_build(&srctx.vtcm_layout, octx->dst->type, ne00, n_threads);
srctx.vtcm_base = (uint8_t *)octx->ctx->vtcm_base;
work_queue_func_t q_func = NULL;
const bool is_i32 = (octx->src[1]->type == HTP_TYPE_I32);
switch (octx->dst->type) {
case HTP_TYPE_F32: q_func = is_i32 ? set_rows_thread_dma_f32_int32_t : set_rows_thread_dma_f32_int64_t; break;
case HTP_TYPE_F16: q_func = is_i32 ? set_rows_thread_dma_f16_int32_t : set_rows_thread_dma_f16_int64_t; break;
case HTP_TYPE_Q8_0: q_func = is_i32 ? set_rows_thread_dma_q8_0_int32_t : set_rows_thread_dma_q8_0_int64_t; break;
default: return HTP_STATUS_NO_SUPPORT;
}
FARF(HIGH, "set-rows: (%ux%ux%ux%u) x (%ux%ux%ux%u) -> (%ux%ux%ux%u) : src0-vtcm-size %zu dst-vtcm-size %zu n-threads %d\n",
octx->src[0]->ne[0], octx->src[0]->ne[1], octx->src[0]->ne[2], octx->src[0]->ne[3],
octx->src[1]->ne[0], octx->src[1]->ne[1], octx->src[1]->ne[2], octx->src[1]->ne[3],
octx->dst->ne[0], octx->dst->ne[1], octx->dst->ne[2], octx->dst->ne[3],
srctx.vtcm_layout.src0_bytes_per_thread * n_threads,
srctx.vtcm_layout.dst_bytes_per_thread * n_threads,
n_threads);
work_queue_run(octx->ctx->work_queue, q_func, &srctx, n_threads);
return HTP_STATUS_OK;
}

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@@ -0,0 +1,74 @@
#ifndef HTP_SET_ROWS_OPS_H
#define HTP_SET_ROWS_OPS_H
#include "hex-fastdiv.h"
struct htp_set_rows_kernel_params {
int32_t n_threads;
int32_t total_tasks;
int32_t tasks_per_thread;
int32_t vtcm_size;
// Fastdiv helpers
struct fastdiv_values div_ne11;
struct fastdiv_values div_ne12;
struct fastdiv_values div_tasks_per_thread;
struct fastdiv_values div_ne02;
};
struct htp_set_rows_vtcm_layout {
size_t total_bytes;
size_t off_src0;
size_t off_dst;
size_t src0_bytes_per_thread;
size_t dst_bytes_per_thread;
size_t src0_spad_half_size;
size_t dst_spad_half_size;
};
static inline void htp_set_rows_vtcm_layout_build(
struct htp_set_rows_vtcm_layout * vtcm_layout,
int dst_type,
uint32_t ne00,
uint32_t n_threads) {
size_t src0_row_size = ne00 * 4;
size_t dst_row_size = 0;
switch (dst_type) {
case 0: // HTP_TYPE_F32
dst_row_size = ne00 * 4;
break;
case 1: // HTP_TYPE_F16
dst_row_size = ne00 * 2;
break;
case 8: // HTP_TYPE_Q8_0
dst_row_size = (ne00 / 32) * 34;
break;
default:
dst_row_size = 0;
break;
}
size_t src0_row_size_aligned = (src0_row_size + 255) & ~255;
size_t dst_row_size_aligned = (dst_row_size + 255) & ~255;
vtcm_layout->src0_spad_half_size = src0_row_size_aligned;
vtcm_layout->dst_spad_half_size = dst_row_size_aligned;
vtcm_layout->src0_bytes_per_thread = src0_row_size_aligned * 2;
vtcm_layout->dst_bytes_per_thread = dst_row_size_aligned * 2;
vtcm_layout->off_src0 = 0;
vtcm_layout->off_dst = vtcm_layout->off_src0 + vtcm_layout->src0_bytes_per_thread * n_threads;
vtcm_layout->total_bytes = vtcm_layout->off_dst + vtcm_layout->dst_bytes_per_thread * n_threads;
}
#if defined(__cplusplus)
static_assert(sizeof(struct htp_set_rows_kernel_params) <= 128, "htp_set_rows_kernel_params is too large for kernel_params blob");
#else
_Static_assert(sizeof(struct htp_set_rows_kernel_params) <= 128, "htp_set_rows_kernel_params is too large for kernel_params blob");
#endif
#endif // HTP_SET_ROWS_OPS_H

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#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <HAP_perf.h>
#include <math.h>
#include <string.h>
#include "hex-dma.h"
#include "hvx-utils.h"
#include "hex-fastdiv.h"
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "hex-common.h"
#include "hex-profile.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "htp-tensor.h"
#define htp_softmax_preamble3 \
const uint32_t ne00 = src0->ne[0]; \
const uint32_t ne01 = src0->ne[1]; \
const uint32_t ne02 = src0->ne[2]; \
const uint32_t ne03 = src0->ne[3]; \
\
const uint32_t nb00 = src0->nb[0]; \
const uint32_t nb01 = src0->nb[1]; \
const uint32_t nb02 = src0->nb[2]; \
const uint32_t nb03 = src0->nb[3]; \
\
const uint32_t ne10 = src1 ? src1->ne[0] : 1; \
const uint32_t ne11 = src1 ? src1->ne[1] : 1; \
const uint32_t ne12 = src1 ? src1->ne[2] : 1; \
const uint32_t ne13 = src1 ? src1->ne[3] : 1; \
\
const uint32_t nb10 = src1 ? src1->nb[0] : 1; \
const uint32_t nb11 = src1 ? src1->nb[1] : 1; \
const uint32_t nb12 = src1 ? src1->nb[2] : 1; \
const uint32_t nb13 = src1 ? src1->nb[3] : 1; \
\
const uint32_t ne0 = dst->ne[0]; \
const uint32_t ne1 = dst->ne[1]; \
const uint32_t ne2 = dst->ne[2]; \
const uint32_t ne3 = dst->ne[3]; \
\
const uint32_t nb0 = dst->nb[0]; \
const uint32_t nb1 = dst->nb[1]; \
const uint32_t nb2 = dst->nb[2]; \
const uint32_t nb3 = dst->nb[3];
struct htp_softmax_context {
struct htp_ops_context * octx;
bool use_f16;
bool use_src1;
uint32_t n_head;
uint32_t n_head_log2;
float scale;
float max_bias;
float m0;
float m1;
struct fastdiv_values fastdiv_ne01;
struct fastdiv_values fastdiv_ne02;
struct fastdiv_values fastdiv_ne12; // For mask broadcasting
struct fastdiv_values fastdiv_ne13; // For mask broadcasting
uint32_t src0_nrows_per_thread;
uint32_t row_start;
uint32_t nrows;
};
static void apply_mask(float * restrict wp0,
const float * restrict mp_f32,
const __fp16 * restrict mp_f16,
uint32_t ne00,
float slope,
bool use_f16) {
if (!mp_f32) {
return;
}
if (use_f16) {
for (uint32_t i = 0; i < ne00; ++i) {
wp0[i] += slope * (float) mp_f16[i];
}
} else {
for (uint32_t i = 0; i < ne00; ++i) {
wp0[i] += slope * mp_f32[i];
}
}
}
static void init_softmax_ctx(struct htp_softmax_context * smctx, struct htp_ops_context * octx) {
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * src1 = octx->src[1];
memset(smctx, 0, sizeof(struct htp_softmax_context));
memcpy(&smctx->scale, (float *) octx->op_params, sizeof(float));
memcpy(&smctx->max_bias, (float *) octx->op_params + 1, sizeof(float));
smctx->n_head = src0->ne[2];
smctx->n_head_log2 = 1u << (uint32_t) floor(log2(smctx->n_head));
smctx->m0 = powf(2.0f, -(smctx->max_bias) / smctx->n_head_log2);
smctx->m1 = powf(2.0f, -(smctx->max_bias / 2.0f) / smctx->n_head_log2);
smctx->use_src1 = (src1 != 0);
smctx->use_f16 = (src1 != 0) && (src1->type == HTP_TYPE_F16);
smctx->octx = octx;
// Initialize fastdiv values
const uint32_t ne01 = src0->ne[1];
const uint32_t ne02 = src0->ne[2];
if (ne01 > 0) smctx->fastdiv_ne01 = init_fastdiv_values(ne01);
if (ne02 > 0) smctx->fastdiv_ne02 = init_fastdiv_values(ne02);
const uint32_t ne12 = src1 ? src1->ne[2] : 1;
const uint32_t ne13 = src1 ? src1->ne[3] : 1;
if (ne12 > 0) smctx->fastdiv_ne12 = init_fastdiv_values(ne12);
if (ne13 > 0) smctx->fastdiv_ne13 = init_fastdiv_values(ne13);
}
static void hvx_fast_softmax_prep_f32(const uint8_t * restrict src,
uint8_t * restrict dst,
const int num_elems,
float scale,
const uint8_t * restrict mask,
float slope) {
const uint8_t * restrict src_curr = src;
uint8_t * restrict dst_curr = dst;
const uint8_t * restrict mask_curr = mask;
HVX_Vector scale_vec = hvx_vec_splat_f32(scale);
HVX_Vector slope_vec = hvx_vec_splat_f32(slope);
int step_of_1 = num_elems >> 5;
#pragma unroll(4)
for (int i = 0; i < step_of_1; i++) {
HVX_Vector v1 = *(HVX_Vector *) src_curr;
HVX_Vector v3 = *(HVX_Vector *) mask_curr;
HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, scale_vec);
HVX_Vector v4 = Q6_Vqf32_vmpy_VsfVsf(v3, slope_vec);
HVX_Vector v5 = Q6_Vqf32_vadd_Vqf32Vqf32(v2, v4);
*(HVX_Vector *) dst_curr = Q6_Vsf_equals_Vqf32(v5);
src_curr += VLEN;
dst_curr += VLEN;
mask_curr += VLEN;
}
}
static void hvx_fast_softmax_f32(const uint8_t * restrict src, uint8_t * restrict dst, uint8_t * restrict pad, const int num_elems) {
const HVX_Vector * restrict v_src = (HVX_Vector *) src;
HVX_Vector * restrict v_pad = (HVX_Vector *) pad;
HVX_Vector * restrict v_dst = (HVX_Vector *) dst;
HVX_Vector sum_vec = Q6_V_vsplat_R(0x00000000);
HVX_Vector max_vec = hvx_vec_splat_f32(((const float *) src)[0]);
HVX_Vector zero_v = Q6_V_vzero();
HVX_Vector one_v = hvx_vec_splat_f32(1.0);
int step_of_1 = num_elems >> 5;
#pragma unroll(4)
for (int i = 0; i < step_of_1; i++) {
HVX_Vector v1 = v_src[i];
max_vec = Q6_Vsf_vmax_VsfVsf(max_vec, v1);
}
max_vec = hvx_vec_reduce_max_f32(max_vec); // replicated over all lanes
#pragma unroll(4)
for (int i = 0; i < step_of_1; i++) {
HVX_Vector v1 = v_src[i];
HVX_Vector v2 = Q6_Vqf32_vsub_VsfVsf(v1, max_vec);
HVX_Vector v3 = hvx_vec_exp_f32(Q6_Vsf_equals_Vqf32(v2));
sum_vec = Q6_Vqf32_vadd_VsfVsf(Q6_Vsf_equals_Vqf32(sum_vec), v3);
v_pad[i] = v3;
}
sum_vec = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_vec)); // replicated over all lanes
HVX_VectorPred pos_sum = Q6_Q_vcmp_gt_VwVw(sum_vec, zero_v);
HVX_Vector v4 = hvx_vec_inverse_f32(sum_vec);
HVX_Vector scale_vec = Q6_V_vmux_QVV(pos_sum, v4, one_v);
#pragma unroll(4)
for (int i = 0; i < step_of_1; i++) {
HVX_Vector v1 = v_pad[i];
HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, scale_vec);
v_dst[i] = Q6_Vsf_equals_Vqf32(v2);
}
}
static float hvx_softmax_f32(const uint8_t * restrict src, uint8_t * restrict dst, uint8_t * restrict spad, const int num_elems, const float max) {
hvx_sub_scalar_f32(spad, src, max, num_elems);
hvx_exp_f32(dst, spad, num_elems, false);
return hvx_reduce_sum_f32(dst, num_elems);
}
static void softmax_job_f32(unsigned int nth, unsigned int ith, void * data) {
struct htp_softmax_context * smctx = (struct htp_softmax_context *) data;
struct htp_ops_context * octx = smctx->octx;
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * src1 = octx->src[1];
const struct htp_tensor * dst = octx->dst;
htp_softmax_preamble3;
const uint32_t src0_nrows = smctx->nrows;
const uint32_t src0_nrows_per_thread = smctx->src0_nrows_per_thread;
const uint32_t src0_start_row = smctx->row_start + src0_nrows_per_thread * ith;
const uint32_t src0_end_row = MIN(src0_start_row + src0_nrows_per_thread, smctx->row_start + src0_nrows);
// no work for this thread
if (src0_start_row >= src0_end_row) {
return;
}
int is_aligned = 1;
int opt_path = 0;
if (!hex_is_aligned((void *) src0->data, VLEN) || !hex_is_aligned((void *) dst->data, VLEN)) {
is_aligned = 0;
FARF(HIGH, "softmax-f32: unaligned addresses in elementwise op, possibly slower execution\n");
}
// Only use the fast path when aligned AND row size is multiple of VLEN (128 bytes)
// The fast path (hvx_fast_softmax_f32) doesn't handle tail elements
// The non-opt path uses hvx_softmax_f32 which properly handles all sizes via its helper functions
if ((1 == is_aligned) && !(nb01 & (VLEN - 1))) {
opt_path = 1;
}
uint8_t * src0_spad_data = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
uint8_t * src1_spad_data = octx->src1_spad.data + (ith * octx->src1_spad.size_per_thread);
uint8_t * dst_spad_data = octx->dst_spad.data + (ith * octx->dst_spad.size_per_thread);
float * wp0 = (float *) src0_spad_data;
float * wp1 = (float *) src1_spad_data;
float * wp2 = (float *) dst_spad_data;
uint32_t prev_i2 = (uint32_t)-1;
float slope = 1.0f;
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, src0_start_row);
for (uint32_t r = src0_start_row; r < src0_end_row; ++r) {
uint32_t i1 = fastmodulo(r, ne01, &smctx->fastdiv_ne01);
uint32_t r_div_ne01 = fastdiv(r, &smctx->fastdiv_ne01);
uint32_t i2 = fastmodulo(r_div_ne01, ne02, &smctx->fastdiv_ne02);
uint32_t i3 = fastdiv(r_div_ne01, &smctx->fastdiv_ne02);
// Map to original logic indices
// i01 = i1
// i02 = i2
// i03 = i3
const uint32_t i11 = i1;
// const uint32_t i12 = i2 % ne12;
// const uint32_t i13 = i3 % ne13;
uint32_t i12, i13;
if (ne12 == ne02) {
i12 = i2;
} else {
i12 = fastmodulo(i2, ne12, &smctx->fastdiv_ne12);
}
if (ne13 == ne03) {
i13 = i3;
} else {
i13 = fastmodulo(i3, ne13, &smctx->fastdiv_ne13);
}
// ALiBi
if (i2 != prev_i2) {
const uint32_t h = i2; // head
slope = (smctx->max_bias > 0.0f) ? h < smctx->n_head_log2 ? powf(smctx->m0, h + 1) : powf(smctx->m1, 2 * (h - smctx->n_head_log2) + 1) : 1.0f;
prev_i2 = i2;
}
float * sp = (float *) ((char *) src0->data + i1 * nb01 + i2 * nb02 + i3 * nb03);
float * dp = (float *) ((char *) dst->data + i1 * nb1 + i2 * nb2 + i3 * nb3);
// broadcast the mask across rows
__fp16 * mp_f16 = (smctx->use_src1) ? (__fp16 *) ((char *) src1->data + i11 * nb11 + i12 * nb12 + i13 * nb13) : NULL;
float * mp_f32 = (smctx->use_src1) ? (float *) ((char *) src1->data + i11 * nb11 + i12 * nb12 + i13 * nb13) : NULL;
if ((1 == opt_path) && (mp_f32) && !(smctx->use_f16)) {
hvx_fast_softmax_prep_f32((const uint8_t *) sp, (uint8_t *) wp0, ne00, smctx->scale, (const uint8_t *) mp_f32, slope);
hvx_fast_softmax_f32((const uint8_t *) wp0, (uint8_t *) dp, (uint8_t *) wp1, ne00);
} else if (1 == opt_path) {
hvx_scale_f32((uint8_t *) wp0, (const uint8_t *) sp, ne00, smctx->scale);
apply_mask(wp0, mp_f32, mp_f16, ne00, slope, smctx->use_f16);
hvx_fast_softmax_f32((const uint8_t *) wp0, (uint8_t *) dp, (uint8_t *) wp1, ne00);
} else {
// Non-optimized path: uses HVX helper functions that properly handle all tensor sizes
// including non-multiples of 32 (the HVX vector lane count for f32)
hvx_scale_f32((uint8_t *) wp0, (const uint8_t *) sp, ne00, smctx->scale);
apply_mask(wp0, mp_f32, mp_f16, ne00, slope, smctx->use_f16);
float max = hvx_reduce_max_f32((const uint8_t *) wp0, ne00);
float sum = hvx_softmax_f32((const uint8_t *) wp0, (uint8_t *) wp2, (uint8_t *) wp1, ne00, max);
sum = sum > 0.0 ? (1.0 / sum) : 1;
hvx_scale_f32((uint8_t *) dp, (const uint8_t *) wp2, ne00, sum);
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, src0_start_row);
FARF(HIGH, "softmax-f32 %d/%d: %ux%ux%ux%u (%u:%u) x %ux%ux%ux%u -> %ux%ux%ux%u : opt %u f16 %u\n", ith, nth,
ne00, ne01, ne02, ne03, src0_start_row, src0_end_row, ne10, ne11, ne12, ne13,
ne0, ne1, ne2, ne3, opt_path, smctx->use_f16);
}
static int execute_op_softmax_f32(struct htp_ops_context * octx) {
int err = HTP_STATUS_OK;
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * src1 = octx->src[1];
const struct htp_tensor * dst = octx->dst;
struct htp_softmax_context smctx;
const char * op_type = "softmax-f32";
init_softmax_ctx(&smctx, octx);
const uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3];
const size_t elem_size = sizeof(float);
const size_t dst_row_size = dst->nb[1];
uint32_t row_start = 0;
uint32_t nrows = src0_nrows;
if (octx->ctx->mdev.count > 1) {
uint32_t rows_per_chunk = 0;
htp_tensor_mdev_rows_per_chunk(dst, (uint32_t) elem_size, (uint32_t) dst_row_size, &rows_per_chunk);
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(src0_nrows, rows_per_chunk, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
row_start = range.start;
nrows = range.count;
}
if (nrows == 0) {
return HTP_STATUS_OK;
}
const uint32_t n_threads = octx->n_threads;
smctx.src0_nrows_per_thread = fastdiv(nrows + n_threads - 1, &octx->n_threads_div);
smctx.row_start = row_start;
smctx.nrows = nrows;
const size_t src0_row_size = src0->nb[1];
const size_t src1_row_size = src0_row_size;
// VTCM scratchpads for all tensors
// 4 rows per thread, padded to HVX vector size
octx->src0_spad.size_per_thread = hex_round_up(4 * src0_row_size, 128);
octx->src1_spad.size_per_thread = hex_round_up(4 * src1_row_size, 128);
octx->dst_spad.size_per_thread = hex_round_up(4 * dst_row_size, 128);
octx->src0_spad.size = octx->src0_spad.size_per_thread * n_threads;
octx->src1_spad.size = octx->src1_spad.size_per_thread * n_threads;
octx->dst_spad.size = octx->dst_spad.size_per_thread * n_threads;
size_t spad_size = octx->src0_spad.size + octx->src1_spad.size + octx->dst_spad.size;
if (src1) {
FARF(HIGH, "%s: %ux%ux%ux%u x %ux%ux%ux%u -> %ux%ux%ux%u : src0-spad-size %u src1-spad-size %u dst-spad-size %u\n",
op_type, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], src1->ne[0], src1->ne[1], src1->ne[2],
src1->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], octx->src0_spad.size, octx->src1_spad.size,
octx->dst_spad.size);
} else {
FARF(HIGH, "%s: %ux%ux%ux%u -> %ux%ux%ux%u : src0-spad-size %u src1-spad-size %u dst-spad-size %u\n", op_type,
src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
octx->src0_spad.size, octx->src1_spad.size, octx->dst_spad.size);
}
// Make sure the reserved vtcm size is sufficient
if (octx->ctx->vtcm_size < spad_size) {
FARF(ERROR, "%s : current VTCM reservation %zu is too small, needed %zu\n", op_type, octx->ctx->vtcm_size, spad_size);
return HTP_STATUS_VTCM_TOO_SMALL;
}
octx->src0_spad.data = octx->ctx->vtcm_base; octx->src0_spad.src = NULL;
octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size; octx->src1_spad.src = NULL;
octx->dst_spad.data = octx->src1_spad.data + octx->src1_spad.size; octx->dst_spad.src = NULL;
work_queue_run(octx->ctx->work_queue, softmax_job_f32, &smctx, n_threads);
return err;
}
int op_softmax(struct htp_ops_context * octx) {
int err = HTP_STATUS_OK;
switch (octx->src[0]->type) {
case HTP_TYPE_F32:
err = execute_op_softmax_f32(octx);
break;
default:
err = HTP_STATUS_NO_SUPPORT;
break;
}
return err;
}

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@@ -0,0 +1,299 @@
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <string.h>
#include "hex-common.h"
#include "hex-profile.h"
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "htp-tensor.h"
#include "hvx-types.h"
#include "hvx-utils.h"
struct htp_solve_tri_context {
struct htp_ops_context * octx;
uint32_t jobs_per_thread;
uint32_t total_jobs;
uint32_t job_start;
uint32_t k_chunks;
uint32_t col_block;
};
static inline void solve_tri_row_scalar(const float * A_row,
const float * B_row,
float * X,
uint32_t row,
uint32_t k,
uint32_t col0,
uint32_t coln,
float inv_diag) {
for (uint32_t col = col0; col < col0 + coln; ++col) {
float sum = 0.0f;
for (uint32_t t = 0; t < row; ++t) {
sum += A_row[t] * X[t * k + col];
}
X[row * k + col] = (B_row[col] - sum) * inv_diag;
}
}
static inline HVX_Vector hvx_load_partial_f32(const float * src, uint32_t n) {
HVX_Vector v = *((const HVX_UVector *) src);
HVX_VectorPred mask = Q6_Q_vsetq2_R(n * sizeof(float));
return Q6_V_vmux_QVV(mask, v, Q6_V_vzero());
}
static inline void solve_tri_row_hvx(const float * A_row,
const float * B_row,
float * X,
uint32_t row,
uint32_t k,
uint32_t col0,
uint32_t coln,
float inv_diag) {
const bool full = (coln == VLEN_FP32);
HVX_Vector sum_v = Q6_V_vzero();
for (uint32_t t = 0; t < row; ++t) {
const float a = A_row[t];
const float * x_row_col = X + t * k + col0;
HVX_Vector x_v = full ? *((const HVX_UVector *) x_row_col) : hvx_load_partial_f32(x_row_col, coln);
HVX_Vector a_v = hvx_vec_splat_f32(a);
sum_v = hvx_vec_add_f32_f32(sum_v, hvx_vec_mul_f32_f32(x_v, a_v));
}
const float * b_row_col = B_row + col0;
float * x_out_col = X + row * k + col0;
HVX_Vector b_v = full ? *((const HVX_UVector *) b_row_col) : hvx_load_partial_f32(b_row_col, coln);
HVX_Vector inv_diag_v = hvx_vec_splat_f32(inv_diag);
HVX_Vector out_v = hvx_vec_mul_f32_f32(hvx_vec_sub_f32_f32(b_v, sum_v), inv_diag_v);
hvx_vec_store_u((void *) x_out_col, coln * sizeof(float), out_v);
}
// Batch-level thread: each job is one full batch.
static void solve_tri_batch_thread_f32(unsigned int nth, unsigned int ith, void * data) {
struct htp_solve_tri_context * sctx = (struct htp_solve_tri_context *) data;
struct htp_ops_context * octx = sctx->octx;
const struct htp_tensor * src0 = octx->src[0]; // A
const struct htp_tensor * src1 = octx->src[1]; // B
const struct htp_tensor * dst = octx->dst; // X
const uint32_t n = src0->ne[0];
const uint32_t k = src1->ne[0];
const uint32_t ne02 = src0->ne[2];
const uint32_t col_block = VLEN_FP32;
const uint32_t k_full = (k / col_block) * col_block;
const uint32_t start_batch = sctx->job_start + sctx->jobs_per_thread * ith;
const uint32_t end_batch = MIN(start_batch + sctx->jobs_per_thread, sctx->job_start + sctx->total_jobs);
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) start_batch);
for (uint32_t batch = start_batch; batch < end_batch; ++batch) {
const uint32_t i03 = batch / ne02;
const uint32_t i02 = batch - i03 * ne02;
const float * A_batch =
(const float *) ((const uint8_t *) (uintptr_t) src0->data + i02 * src0->nb[2] + i03 * src0->nb[3]);
const float * B_batch =
(const float *) ((const uint8_t *) (uintptr_t) src1->data + i02 * src1->nb[2] + i03 * src1->nb[3]);
float * X_batch = (float *) ((uint8_t *) (uintptr_t) dst->data + i02 * dst->nb[2] + i03 * dst->nb[3]);
for (uint32_t row = 0; row < n; ++row) {
const float diag = A_batch[row * n + row];
const float inv_diag = 1.0f / diag;
const float * A_row = A_batch + row * n;
const float * B_row = B_batch + row * k;
uint32_t col0 = 0;
for (; col0 < k_full; col0 += col_block) {
solve_tri_row_hvx(A_row, B_row, X_batch, row, k, col0, col_block, inv_diag);
}
if (col0 < k) {
const uint32_t coln = k - col0;
if (coln >= 8) {
solve_tri_row_hvx(A_row, B_row, X_batch, row, k, col0, coln, inv_diag);
} else {
solve_tri_row_scalar(A_row, B_row, X_batch, row, k, col0, coln, inv_diag);
}
}
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) end_batch);
FARF(HIGH, "solve-tri-batch %d/%d: A=(%ux%u) B=(%ux%u) batch %u:%u\n",
ith, nth, n, n, k, n, start_batch, end_batch);
}
// Chunk-level thread: each job is one (batch, col_chunk) pair.
static void solve_tri_chunk_thread_f32(unsigned int nth, unsigned int ith, void * data) {
struct htp_solve_tri_context * sctx = (struct htp_solve_tri_context *) data;
struct htp_ops_context * octx = sctx->octx;
const struct htp_tensor * src0 = octx->src[0]; // A
const struct htp_tensor * src1 = octx->src[1]; // B
const struct htp_tensor * dst = octx->dst; // X
const uint32_t n = src0->ne[0];
const uint32_t k = src1->ne[0];
const uint32_t ne02 = src0->ne[2];
const uint32_t start_job = sctx->job_start + sctx->jobs_per_thread * ith;
const uint32_t end_job = MIN(start_job + sctx->jobs_per_thread, sctx->job_start + sctx->total_jobs);
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) start_job);
for (uint32_t job = start_job; job < end_job; ++job) {
const uint32_t batch = job / sctx->k_chunks;
const uint32_t chunk = job - batch * sctx->k_chunks;
const uint32_t i03 = batch / ne02;
const uint32_t i02 = batch - i03 * ne02;
const float * A_batch =
(const float *) ((const uint8_t *) (uintptr_t) src0->data + i02 * src0->nb[2] + i03 * src0->nb[3]);
const float * B_batch =
(const float *) ((const uint8_t *) (uintptr_t) src1->data + i02 * src1->nb[2] + i03 * src1->nb[3]);
float * X_batch = (float *) ((uint8_t *) (uintptr_t) dst->data + i02 * dst->nb[2] + i03 * dst->nb[3]);
const uint32_t col0 = chunk * sctx->col_block;
const uint32_t coln = MIN(sctx->col_block, k - col0);
for (uint32_t row = 0; row < n; ++row) {
const float diag = A_batch[row * n + row];
const float inv_diag = 1.0f / diag;
const float * A_row = A_batch + row * n;
const float * B_row = B_batch + row * k;
if (coln >= 8) {
solve_tri_row_hvx(A_row, B_row, X_batch, row, k, col0, coln, inv_diag);
} else {
solve_tri_row_scalar(A_row, B_row, X_batch, row, k, col0, coln, inv_diag);
}
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) end_job);
FARF(HIGH, "solve-tri-chunk %d/%d: A=(%ux%u) B=(%ux%u) jobs %u:%u\n",
ith, nth, n, n, k, n, start_job, end_job);
}
int op_solve_tri(struct htp_ops_context * octx) {
const struct htp_tensor * src0 = octx->src[0]; // A
const struct htp_tensor * src1 = octx->src[1]; // B
const struct htp_tensor * dst = octx->dst; // X
if (src0->type != HTP_TYPE_F32 || src1->type != HTP_TYPE_F32 || dst->type != HTP_TYPE_F32) {
return HTP_STATUS_NO_SUPPORT;
}
// left=true, lower=true, uni=false only
if (src0->ne[0] != src0->ne[1]) {
return HTP_STATUS_INVAL_PARAMS;
}
if (src0->ne[1] != src1->ne[1]) {
return HTP_STATUS_INVAL_PARAMS;
}
if (src0->ne[2] != src1->ne[2] || src0->ne[3] != src1->ne[3]) {
return HTP_STATUS_INVAL_PARAMS;
}
if (dst->ne[0] != src1->ne[0] || dst->ne[1] != src1->ne[1] || dst->ne[2] != src1->ne[2] ||
dst->ne[3] != src1->ne[3]) {
return HTP_STATUS_INVAL_PARAMS;
}
if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
return HTP_STATUS_OK;
}
const uint32_t k = src1->ne[0];
const uint32_t col_block = VLEN_FP32;
const uint32_t k_chunks = (k + col_block - 1) / col_block;
const uint32_t total_batches = src0->ne[2] * src0->ne[3];
const bool batched = total_batches >= (uint32_t) octx->n_threads;
FARF(HIGH, "solve-tri: (%ux%ux%ux%u) x (%ux%ux%ux%u) -> (%ux%ux%ux%u) : batched %d\n",
src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3],
src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3],
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], batched);
if (batched) {
uint32_t job_start = 0;
uint32_t njobs = total_batches;
if (octx->ctx->mdev.count > 1) {
const uint32_t batch_size = dst->nb[2];
const uint32_t batches_per_chunk = (batch_size > 0) ? (HEX_L2_LINE_SIZE / hex_gcd_u32(batch_size, HEX_L2_LINE_SIZE)) : 1;
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(total_batches, htp_tensor_mdev_data_aligned(dst) ? batches_per_chunk : 0, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
job_start = range.start;
njobs = range.count;
}
if (njobs == 0) {
return HTP_STATUS_OK;
}
// Batch-level parallelism
const uint32_t n_threads = octx->n_threads;
struct htp_solve_tri_context sctx = {
.octx = octx,
.jobs_per_thread = fastdiv(njobs + n_threads - 1, &octx->n_threads_div),
.total_jobs = njobs,
.job_start = job_start,
.k_chunks = k_chunks,
.col_block = col_block,
};
work_queue_run(octx->ctx->work_queue, solve_tri_batch_thread_f32, &sctx, n_threads);
} else {
// Chunk-level parallelism
const uint32_t total_jobs = total_batches * k_chunks;
uint32_t job_start = 0;
uint32_t njobs = total_jobs;
if (octx->ctx->mdev.count > 1) {
const bool can_split = htp_tensor_mdev_data_aligned(dst) && ((dst->nb[1] & (HTP_TENSOR_MDEV_LINE_SIZE - 1)) == 0);
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(total_jobs, can_split ? 1 : 0, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
job_start = range.start;
njobs = range.count;
}
if (njobs == 0) {
return HTP_STATUS_OK;
}
const uint32_t n_threads = octx->n_threads;
struct htp_solve_tri_context sctx = {
.octx = octx,
.jobs_per_thread = fastdiv(njobs + n_threads - 1, &octx->n_threads_div),
.total_jobs = njobs,
.job_start = job_start,
.k_chunks = k_chunks,
.col_block = col_block,
};
work_queue_run(octx->ctx->work_queue, solve_tri_chunk_thread_f32, &sctx, n_threads);
}
return HTP_STATUS_OK;
}

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@@ -0,0 +1,456 @@
#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <HAP_mem.h>
#include <HAP_ps.h>
#include <hexagon_protos.h>
#include <hexagon_types.h>
#include <math.h>
#include <qurt_thread.h>
#include <string.h>
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "htp-ctx.h"
#include "hex-dma.h"
#include "hex-profile.h"
#include "htp-ops.h"
#include "htp-tensor.h"
#include "hvx-utils.h"
#define htp_ssm_conv_tensors_preamble \
const struct htp_tensor * restrict src0 = octx->src[0]; \
const struct htp_tensor * restrict src1 = octx->src[1]; \
const struct htp_tensor * restrict dst = octx->dst; \
struct htp_spad * restrict src0_spad = &octx->src0_spad; \
struct htp_spad * restrict src1_spad = &octx->src1_spad; \
struct htp_spad * restrict dst_spad = &octx->dst_spad; \
\
const uint32_t ne00 = src0->ne[0]; \
const uint32_t ne01 = src0->ne[1]; \
const uint32_t ne02 = src0->ne[2]; \
const uint32_t ne03 = src0->ne[3]; \
\
const uint32_t ne10 = src1->ne[0]; \
const uint32_t ne11 = src1->ne[1]; \
const uint32_t ne12 = src1->ne[2]; \
const uint32_t ne13 = src1->ne[3]; \
\
const uint32_t ne0 = dst->ne[0]; \
const uint32_t ne1 = dst->ne[1]; \
const uint32_t ne2 = dst->ne[2]; \
const uint32_t ne3 = dst->ne[3]; \
\
const uint32_t nb00 = src0->nb[0]; \
const uint32_t nb01 = src0->nb[1]; \
const uint32_t nb02 = src0->nb[2]; \
const uint32_t nb03 = src0->nb[3]; \
\
const uint32_t nb10 = src1->nb[0]; \
const uint32_t nb11 = src1->nb[1]; \
const uint32_t nb12 = src1->nb[2]; \
const uint32_t nb13 = src1->nb[3]; \
\
const uint32_t nb0 = dst->nb[0]; \
const uint32_t nb1 = dst->nb[1]; \
const uint32_t nb2 = dst->nb[2]; \
const uint32_t nb3 = dst->nb[3];
struct htp_ssm_conv_context {
struct htp_ops_context * octx;
uint32_t nrows_per_thread;
uint32_t d_inner_tile;
uint64_t t_start;
uint32_t row_start;
uint32_t nrows;
};
#define htp_ssm_conv_preamble \
struct htp_ssm_conv_context * scctx = (struct htp_ssm_conv_context *) data; \
struct htp_ops_context * octx = scctx->octx; \
htp_ssm_conv_tensors_preamble; \
dma_queue * dma_queue = octx->ctx->dma[ith];
// Scalar FP32 SSM_CONV implementation
static void ssm_conv_thread_f32_f32(unsigned int nth, unsigned int ith, void *data) {
htp_ssm_conv_preamble;
const uint32_t d_conv = src1->ne[0];
const uint32_t d_inner = src0->ne[1];
const uint32_t n_t = dst->ne[1];
const uint32_t n_s = dst->ne[2];
const uint32_t src0_stride_inner = src0->nb[1] / sizeof(float); // stride for inner dimension
const uint32_t src0_stride_seq = src0->nb[2] / sizeof(float); // stride for sequence dimension
const uint32_t src1_stride_inner = src1->nb[1] / sizeof(float); // stride for inner dimension
const uint32_t dst_stride_token = dst->nb[1] / sizeof(float); // stride for token dimension
const uint32_t dst_stride_seq = dst->nb[2] / sizeof(float); // stride for sequence dimension
const float * src0_data = (const float *) src0->data;
const float * src1_data = (const float *) src1->data;
float * dst_data = (float *) dst->data;
// Calculate row range for this thread
const uint32_t d_inner_per_thread = scctx->nrows_per_thread;
const uint32_t d_inner_start = scctx->row_start + d_inner_per_thread * ith;
const uint32_t d_inner_end = MIN(d_inner_start + d_inner_per_thread, scctx->row_start + scctx->nrows);
// No work for this thread
if (d_inner_start >= d_inner_end) {
return;
}
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) d_inner_start);
for (uint32_t i3 = 0; i3 < n_s; ++i3) {
for (uint32_t i2 = 0; i2 < n_t; ++i2) {
for (uint32_t i1 = d_inner_start; i1 < d_inner_end; ++i1) {
float sumf = 0.0f;
for (uint32_t i0 = 0; i0 < d_conv; ++i0) {
const uint32_t src0_idx = (i2 + i0) + i1 * src0_stride_inner + i3 * src0_stride_seq;
const uint32_t src1_idx = i0 + i1 * src1_stride_inner;
sumf += src0_data[src0_idx] * src1_data[src1_idx];
}
const uint32_t dst_idx = i1 + i2 * dst_stride_token + i3 * dst_stride_seq;
dst_data[dst_idx] = sumf;
}
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) d_inner_end);
FARF(HIGH, "ssm-conv-f32 %d/%d: %ux%ux%ux%u (%u:%u) * %ux%ux%ux%u -> %ux%ux%ux%u\n",
ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], d_inner_start, d_inner_end,
src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3], dst->ne[0], dst->ne[1],
dst->ne[2], dst->ne[3]);
}
// In-register 32x32 fp32 transpose using std 5-stage HVX vshuff butterfly.
static inline void hvx_transpose_32x32_f32(HVX_Vector m[32]) {
HVX_Vector tmp[32];
// Stage 0 (R = -4): pair (2i, 2i+1) for i = 0..15. m -> tmp.
for (int i = 0; i < 16; ++i) {
HVX_VectorPair p = Q6_W_vshuff_VVR(m[2*i + 1], m[2*i], -4);
tmp[2*i + 0] = Q6_V_lo_W(p);
tmp[2*i + 1] = Q6_V_hi_W(p);
}
// Stage 1 (R = -8): per block of 4, pair (b+0, b+2) and (b+1, b+3). tmp -> m.
for (int b = 0; b < 32; b += 4) {
HVX_VectorPair p0 = Q6_W_vshuff_VVR(tmp[b + 2], tmp[b + 0], -8);
HVX_VectorPair p1 = Q6_W_vshuff_VVR(tmp[b + 3], tmp[b + 1], -8);
m[b + 0] = Q6_V_lo_W(p0); m[b + 1] = Q6_V_hi_W(p0);
m[b + 2] = Q6_V_lo_W(p1); m[b + 3] = Q6_V_hi_W(p1);
}
// Stage 2 (R = -16): per block of 8, pair (b+i, b+i+4) for i = 0..3. m -> tmp.
for (int b = 0; b < 32; b += 8) {
for (int i = 0; i < 4; ++i) {
HVX_VectorPair p = Q6_W_vshuff_VVR(m[b + i + 4], m[b + i], -16);
tmp[b + 2*i + 0] = Q6_V_lo_W(p);
tmp[b + 2*i + 1] = Q6_V_hi_W(p);
}
}
// Stage 3 (R = -32): per block of 16, pair (b+i, b+i+8) for i = 0..7. tmp -> m.
for (int b = 0; b < 32; b += 16) {
for (int i = 0; i < 8; ++i) {
HVX_VectorPair p = Q6_W_vshuff_VVR(tmp[b + i + 8], tmp[b + i], -32);
m[b + 2*i + 0] = Q6_V_lo_W(p);
m[b + 2*i + 1] = Q6_V_hi_W(p);
}
}
// Stage 4 (R = -64): pair (i, i+16) for i = 0..15. m -> tmp -> m.
for (int i = 0; i < 16; ++i) {
HVX_VectorPair p = Q6_W_vshuff_VVR(m[i + 16], m[i], -64);
tmp[2 * i + 0] = Q6_V_lo_W(p);
tmp[2 * i + 1] = Q6_V_hi_W(p);
}
for (int i = 0; i < 32; ++i) {
m[i] = tmp[i];
}
}
// HVX FP32 SSM_CONV implementation - channel-vectorized HVX kernel with src0/src1
// transposed into VTCM.
//
// VTCM layouts (per thread):
// src1_T : {d_inner_stride, d_conv} - staged once per launch (small).
// src0_T : {d_inner_tile, ncs} - staged per d_inner-tile.
//
// d_inner_tile is chosen so that per-thread VTCM stays under the budget.
// Each thread iterates ceil(d_inner_per_thread d_inner_tile) tiles serially.
#define HTP_SSM_CONV_VTCM_BUDGET (1u << 20) // 1 MiB per thread
// Scalar transpose: src1 {d_conv, d_inner} (DDR) -> {d_inner_stride, d_conv} (VTCM)
static inline void transpose_src1(const float * src1_data,
uint32_t src1_stride_inner,
uint32_t i1_off,
uint32_t d_inner_per_thread,
uint32_t d_inner_stride,
uint32_t d_conv,
float * src1_T) {
for (uint32_t i = 0; i < d_inner_per_thread; ++i) {
const float * src_row = src1_data + (i1_off + i) * src1_stride_inner;
for (uint32_t j = 0; j < d_conv; ++j) {
src1_T[j * d_inner_stride + i] = src_row[j];
}
}
}
// HVX 32x32 src0 transpose: src0 {ncs, d_inner} (DDR) -> src0_T {d_inner_tile, ncs} (VTCM)
static inline void transpose_src0_block(const float * src0_block,
uint32_t ncs,
uint32_t cb_n,
uint32_t d_inner_tile,
float * src0_T_block_dst,
uint32_t cb /* dst column offset */) {
const uint32_t T_TILE = VLEN_FP32;
HVX_Vector __attribute__((aligned(VLEN))) sub[32];
for (uint32_t t0 = 0; t0 < ncs; t0 += T_TILE) {
const uint32_t t_n = MIN(T_TILE, ncs - t0);
// Load 32 rows (channels) of T_TILE samples; pad missing channels with zeros.
for (uint32_t r = 0; r < cb_n; ++r) {
const float * src_row = src0_block + r * ncs + t0;
if (t_n == T_TILE) {
sub[r] = *(const HVX_UVector *) src_row;
} else {
HVX_Vector v = hvx_vec_splat_f32(0.0f);
hvx_vec_store_u(&v, t_n * sizeof(float), hvx_vec_splat_f32(0.0f));
float __attribute__((aligned(VLEN))) tmp[VLEN_FP32] = { 0 };
for (uint32_t k = 0; k < t_n; ++k) tmp[k] = src_row[k];
v = *(const HVX_Vector *) tmp;
sub[r] = v;
}
}
for (uint32_t r = cb_n; r < T_TILE; ++r) {
sub[r] = hvx_vec_splat_f32(0.0f);
}
hvx_transpose_32x32_f32(sub);
// Store transposed sub-tile to src0_T at offsets (t0 + j) * d_inner_tile + cb.
// Only write the valid t_n rows of the transposed result.
for (uint32_t r = 0; r < t_n; ++r) {
float * dst = src0_T_block_dst + (t0 + r) * d_inner_tile + cb;
if (cb_n == T_TILE) {
*(HVX_UVector *) dst = sub[r];
} else {
hvx_vec_store_u(dst, cb_n * sizeof(float), sub[r]);
}
}
}
}
static void ssm_conv_thread_f32_f32_hvx(unsigned int nth, unsigned int ith, void *data) {
htp_ssm_conv_preamble;
const uint32_t d_conv = src1->ne[0];
const uint32_t d_inner = src0->ne[1];
const uint32_t n_t = dst->ne[1];
const uint32_t n_s = dst->ne[2];
const uint32_t ncs = src0->ne[0];
const uint32_t src0_stride_inner = src0->nb[1] / sizeof(float);
const uint32_t src0_stride_seq = src0->nb[2] / sizeof(float);
const uint32_t src1_stride_inner = src1->nb[1] / sizeof(float);
const uint32_t dst_stride_token = dst->nb[1] / sizeof(float);
const uint32_t dst_stride_seq = dst->nb[2] / sizeof(float);
const uint32_t dr = scctx->nrows_per_thread;
const uint32_t ir0 = scctx->row_start + dr * ith;
const uint32_t ir1 = MIN(ir0 + dr, scctx->row_start + scctx->nrows);
if (ir0 >= ir1) {
return;
}
struct htp_thread_trace * tr = &octx->ctx->trace[ith];
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir0);
const uint32_t d_inner_per_thread = ir1 - ir0;
const uint32_t d_inner_stride = scctx->nrows_per_thread;
const uint32_t d_inner_tile = scctx->d_inner_tile;
const float * src0_data = (const float *) src0->data;
const float * src1_data = (const float *) src1->data;
float * dst_data = (float *) dst->data;
// Per-thread VTCM regions.
float * src0_T = (float *)(octx->src0_spad.data + ith * octx->src0_spad.size_per_thread);
float * src1_T = (float *)(octx->src1_spad.data + ith * octx->src1_spad.size_per_thread);
// Stage src1 weights once into VTCM in {d_inner_stride, d_conv} layout.
transpose_src1(src1_data, src1_stride_inner, ir0, d_inner_per_thread, d_inner_stride, d_conv, src1_T);
const uint32_t C_TILE = VLEN_FP32;
for (uint32_t i3 = 0; i3 < n_s; ++i3) {
for (uint32_t tile_off = 0; tile_off < d_inner_per_thread; tile_off += d_inner_tile) {
const uint32_t tile_n = MIN(d_inner_tile, d_inner_per_thread - tile_off);
// Place src0 chunk into VTCM in {d_inner_tile, ncs} layout.
const float * src0_block = src0_data + i3 * src0_stride_seq + (ir0 + tile_off) * src0_stride_inner;
for (uint32_t cb = 0; cb < tile_n; cb += C_TILE) {
const uint32_t cb_n = MIN(C_TILE, tile_n - cb);
transpose_src0_block(src0_block + cb * src0_stride_inner, ncs, cb_n, d_inner_tile, src0_T, cb);
}
for (uint32_t t = 0; t < n_t; ++t) {
for (uint32_t cb = 0; cb < tile_n; cb += C_TILE) {
const uint32_t cb_n = MIN(C_TILE, tile_n - cb);
HVX_Vector acc = hvx_vec_splat_f32(0.0f);
for (uint32_t j = 0; j < d_conv; ++j) {
HVX_Vector x = *(const HVX_Vector *) (src0_T + (t + j) * d_inner_tile + cb);
HVX_Vector w = *(const HVX_Vector *) (src1_T + j * d_inner_stride + tile_off + cb);
acc = Q6_Vqf32_vadd_Vqf32Vqf32(acc, Q6_Vqf32_vmpy_VsfVsf(x, w));
}
HVX_Vector y = Q6_Vsf_equals_Vqf32(acc);
float * dst_ptr = dst_data + (ir0 + tile_off + cb) + t * dst_stride_token + i3 * dst_stride_seq;
if (cb_n == C_TILE) {
*(HVX_UVector *) dst_ptr = y;
} else {
hvx_vec_store_u(dst_ptr, cb_n * sizeof(float), y);
}
}
}
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) ir1);
FARF(HIGH, "ssm-conv-f32-hvx %d/%d: %ux%ux%ux%u (%u:%u) * %ux%ux%ux%u -> %ux%ux%ux%u\n",
ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], ir0, ir1,
src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3], dst->ne[0], dst->ne[1],
dst->ne[2], dst->ne[3]);
}
int op_ssm_conv_f32(struct htp_ops_context * octx) {
const struct htp_tensor * src0 = octx->src[0];
const struct htp_tensor * src1 = octx->src[1];
const struct htp_tensor * dst = octx->dst;
if (src0->type != HTP_TYPE_F32 || src1->type != HTP_TYPE_F32 || dst->type != HTP_TYPE_F32) {
return HTP_STATUS_NO_SUPPORT;
}
const uint32_t d_conv = src1->ne[0];
const uint32_t d_inner = src0->ne[1];
const uint32_t n_t = dst->ne[1]; // tokens per sequence
const uint32_t n_s = dst->ne[2]; // number of sequences in the batch
if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
return HTP_STATUS_OK;
}
uint32_t row_start = 0;
uint32_t nrows = d_inner;
if (octx->ctx->mdev.count > 1) {
const uint32_t elems_per_chunk = VLEN_FP32;
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(d_inner, htp_tensor_mdev_data_aligned(dst) ? elems_per_chunk : 0, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
row_start = range.start;
nrows = range.count;
}
if (nrows == 0) {
return HTP_STATUS_OK;
}
const uint32_t n_threads = octx->n_threads;
struct htp_ssm_conv_context scctx = { 0 };
scctx.octx = octx;
scctx.row_start = row_start;
scctx.nrows = nrows;
uint32_t use_hvx = 0;
if (nrows >= VLEN_FP32 && n_t >= VLEN_FP32) {
use_hvx = 1;
}
const uint32_t raw_rpt = fastdiv(nrows + n_threads - 1, &octx->n_threads_div);
scctx.nrows_per_thread = hex_round_up(raw_rpt, VLEN_FP32);
const uint32_t d_inner_per_thread = scctx.nrows_per_thread;
const uint32_t ncs = src0->ne[0];
const uint32_t src1_T_size = hex_round_up(d_conv * d_inner_per_thread * sizeof(float), 256);
const uint32_t src0_T_max = HTP_SSM_CONV_VTCM_BUDGET > src1_T_size ? HTP_SSM_CONV_VTCM_BUDGET - src1_T_size : 0;
uint32_t d_inner_tile = (src0_T_max / sizeof(float)) / ncs;
d_inner_tile -= (d_inner_tile % VLEN_FP32);
if (d_inner_tile == 0) {
FARF(HIGH, "ssm_conv-f32: inner tile rounds to 0 (ncs=%u), falling back to scalar\n", ncs);
use_hvx = 0;
} else {
scctx.d_inner_tile = d_inner_tile;
octx->src0_spad.size_per_thread = hex_round_up(d_inner_tile * ncs * sizeof(float), 256);
octx->src1_spad.size_per_thread = src1_T_size;
octx->dst_spad.size_per_thread = 0;
octx->src0_spad.size = octx->src0_spad.size_per_thread * n_threads;
octx->src1_spad.size = octx->src1_spad.size_per_thread * n_threads;
octx->dst_spad.size = 0;
octx->src0_spad.data = octx->ctx->vtcm_base;
octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
octx->src0_spad.src = NULL;
octx->src1_spad.src = NULL;
const size_t total_spad = octx->src0_spad.size + octx->src1_spad.size;
if (total_spad > octx->ctx->vtcm_size) {
FARF(HIGH, "ssm_conv-f32: scratchpad %zu exceeds VTCM %zu, falling back to scalar\n",
total_spad, octx->ctx->vtcm_size);
use_hvx = 0;
}
}
FARF(HIGH, "ssm-conv-f32: (%ux%ux%ux%u) x (%ux%ux%ux%u) -> (%ux%ux%ux%u) : use_hvx %d\n", src0->ne[0],
src0->ne[1], src0->ne[2], src0->ne[3], src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3], dst->ne[0],
dst->ne[1], dst->ne[2], dst->ne[3], use_hvx);
if (use_hvx) {
work_queue_run(octx->ctx->work_queue, ssm_conv_thread_f32_f32_hvx, &scctx, n_threads);
} else {
work_queue_run(octx->ctx->work_queue, ssm_conv_thread_f32_f32, &scctx, n_threads);
}
return HTP_STATUS_OK;
}
int op_ssm_conv(struct htp_ops_context * octx) {
const struct htp_tensor * dst = octx->dst;
int err = HTP_STATUS_OK;
switch (dst->type) {
case HTP_TYPE_F32:
err = op_ssm_conv_f32(octx);
break;
default:
err = HTP_STATUS_NO_SUPPORT;
break;
}
return err;
}

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@@ -0,0 +1,154 @@
#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"
#include <HAP_farf.h>
#include <HAP_perf.h>
#include <string.h>
#include <math.h>
#include "hex-dma.h"
#include "hvx-utils.h"
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "hex-common.h"
#include "hex-profile.h"
#include "htp-ctx.h"
#include "htp-ops.h"
#include "htp-tensor.h"
#define sum_rows_preamble \
const struct htp_tensor *src0 = octx->src[0]; \
const struct htp_tensor *dst = octx->dst; \
\
const uint32_t ne00 = src0->ne[0]; \
const uint32_t ne01 = src0->ne[1]; \
const uint32_t ne02 = src0->ne[2]; \
const uint32_t ne03 = src0->ne[3]; \
\
const uint32_t nb00 = src0->nb[0]; \
const uint32_t nb01 = src0->nb[1]; \
const uint32_t nb02 = src0->nb[2]; \
const uint32_t nb03 = src0->nb[3]; \
\
const uint32_t ne0 = dst->ne[0]; \
const uint32_t ne1 = dst->ne[1]; \
const uint32_t ne2 = dst->ne[2]; \
const uint32_t ne3 = dst->ne[3]; \
\
const uint32_t nb0 = dst->nb[0]; \
const uint32_t nb1 = dst->nb[1]; \
const uint32_t nb2 = dst->nb[2]; \
const uint32_t nb3 = dst->nb[3]; \
struct sum_rows_context {
struct htp_ops_context * octx;
const uint8_t * src_data;
uint8_t * dst_data;
uint32_t ne00;
size_t src_stride;
size_t dst_stride;
uint32_t rows_per_thread;
uint32_t total_rows;
bool opt_path;
};
static void sum_rows_thread_f32(unsigned int nth, unsigned int ith, void *data) {
const struct sum_rows_context * smctx = (const struct sum_rows_context *) data;
const uint32_t rows_per_thread = smctx->rows_per_thread;
const uint32_t total_rows = smctx->total_rows;
const uint32_t start_row = rows_per_thread * ith;
const uint32_t end_row = MIN(start_row + rows_per_thread, total_rows);
if (start_row >= end_row) {
return;
}
const size_t src_stride = smctx->src_stride;
const size_t dst_stride = smctx->dst_stride;
const uint32_t ne00 = smctx->ne00;
const bool opt_path = smctx->opt_path;
const float * restrict src_th = (const float *) (smctx->src_data + (start_row * src_stride));
float * restrict dst_th = (float *) (smctx->dst_data + (start_row * dst_stride));
// Calculate actual number of rows for this thread
const uint32_t n_rows = end_row - start_row;
struct htp_thread_trace * tr = &smctx->octx->ctx->trace[ith];
htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) start_row);
for (uint32_t ir = 0; ir < n_rows; ir++) {
const float * restrict src_local = src_th + (ir * (src_stride / sizeof(float)));
if (ir + 1 < n_rows) {
hex_l2fetch(src_local + (src_stride / sizeof(float)), src_stride, src_stride, 1);
}
if (opt_path) {
dst_th[ir] = hvx_reduce_sum_f32_a((const uint8_t *) src_local, ne00);
} else {
dst_th[ir] = hvx_reduce_sum_f32((const uint8_t *) src_local, ne00);
}
}
htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_COMP, (uint16_t) start_row);
}
int op_sum_rows(struct htp_ops_context * octx) {
sum_rows_preamble;
if (octx->src[0]->type != HTP_TYPE_F32) {
return HTP_STATUS_NO_SUPPORT;
}
if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
return HTP_STATUS_OK;
}
const uint32_t src0_nrows = ne01 * ne02 * ne03;
const size_t dst_data_row_size = dst->ne[0] * sizeof(float);
uint32_t row_start = 0;
uint32_t nrows = src0_nrows;
if (octx->ctx->mdev.count > 1) {
uint32_t rows_per_chunk = 0;
htp_tensor_mdev_rows_per_chunk(dst, sizeof(float), (uint32_t) dst_data_row_size, &rows_per_chunk);
const struct htp_tensor_mdev_range range = htp_tensor_mdev_partition(src0_nrows, rows_per_chunk, octx->ctx->mdev.idx, octx->ctx->mdev.count, &octx->ctx->mdev.count_div);
row_start = range.start;
nrows = range.count;
}
if (nrows == 0) {
return HTP_STATUS_OK;
}
const uint32_t n_threads = octx->n_threads;
const uint32_t rows_per_thread = fastdiv(nrows + n_threads - 1, &octx->n_threads_div);
bool opt_path = false;
if ((0 == hex_is_aligned((void *) src0->data, VLEN)) && !(nb01 & (VLEN - 1))) {
opt_path = true;
}
struct sum_rows_context smctx = {
.octx = octx,
.src_data = (const uint8_t *) src0->data + row_start * nb01,
.dst_data = (uint8_t *) dst->data + row_start * nb1,
.ne00 = ne00,
.src_stride = nb01,
.dst_stride = nb1,
.rows_per_thread = rows_per_thread,
.total_rows = nrows,
.opt_path = opt_path,
};
work_queue_run(octx->ctx->work_queue, sum_rows_thread_f32, &smctx, n_threads);
return HTP_STATUS_OK;
}

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#ifndef HTP_UNARY_OPS_H
#define HTP_UNARY_OPS_H
#include "hex-common.h"
#include "htp-ops.h"
// Op-specific struct for precomputed unary params
struct htp_unary_kernel_params {
uint32_t n_threads;
uint32_t col_tile;
uint32_t vtcm_row_per_thread;
uint32_t block;
uint32_t broadcast_weight;
uint32_t vtcm_src0_size_per_thread;
uint32_t vtcm_src1_size_per_thread;
uint32_t vtcm_dst_size_per_thread;
uint32_t vtcm_src0_size;
uint32_t vtcm_src1_size;
uint32_t vtcm_dst_size;
uint32_t src0_row_size_aligned;
uint32_t src1_row_size_aligned;
uint32_t dst_row_size_aligned;
uint32_t vtcm_size;
// Fastdiv helpers
struct fastdiv_values div_ne01;
struct fastdiv_values div_ne02;
struct fastdiv_values div_ne012;
struct fastdiv_values div_tpr;
};
#if defined(__cplusplus)
static_assert(sizeof(struct htp_unary_kernel_params) <= 128, "htp_unary_kernel_params is too large for kernel_params blob");
#else
_Static_assert(sizeof(struct htp_unary_kernel_params) <= 128, "htp_unary_kernel_params is too large for kernel_params blob");
#endif
static inline bool htp_op_is_unary(uint32_t opcode) {
switch (opcode) {
case HTP_OP_CLAMP:
case HTP_OP_LEAKY_RELU:
case HTP_OP_NORM:
case HTP_OP_RMS_NORM:
case HTP_OP_RMS_NORM_MUL:
case HTP_OP_SCALE:
case HTP_OP_SQR:
case HTP_OP_SQRT:
case HTP_OP_UNARY_NEG:
case HTP_OP_UNARY_EXP:
case HTP_OP_UNARY_SIGMOID:
case HTP_OP_UNARY_SILU:
case HTP_OP_UNARY_GELU:
case HTP_OP_UNARY_SOFTPLUS:
case HTP_OP_UNARY_TANH:
case HTP_OP_UNARY_ABS:
case HTP_OP_UNARY_LOG:
case HTP_OP_UNARY_RELU:
case HTP_OP_L2_NORM:
case HTP_OP_TRI:
return true;
default:
return false;
}
}
struct htp_unary_vtcm_layout {
size_t total_bytes;
size_t off_src0;
size_t off_src1;
size_t off_dst;
size_t src0_bytes;
size_t src1_bytes;
size_t dst_bytes;
};
static inline void htp_unary_vtcm_layout_build(
struct htp_unary_vtcm_layout * L,
uint32_t op,
uint32_t ne00,
uint32_t ne10,
uint32_t ne11,
bool broadcast_weight,
uint32_t n_threads,
size_t vtcm_size,
size_t elem_size,
uint32_t * out_col_tile,
uint32_t * out_vtcm_row_per_thread
) {
const size_t src0_data_row_size = ne00 * elem_size;
const size_t dst_data_row_size = ne10 * elem_size;
const size_t src0_row_size_aligned = hex_round_up(src0_data_row_size, 128);
const size_t dst_row_size_aligned = hex_round_up(dst_data_row_size, 128);
size_t src1_row_size_aligned = 0;
if (op == HTP_OP_RMS_NORM_MUL) {
// RMS_NORM_MUL fusion is F32-only; its weight tensor is always F32.
const size_t src1_data_row_size = ne11 * sizeof(float);
src1_row_size_aligned = hex_round_up(src1_data_row_size, 128);
}
size_t vtcm_size_per_row = 0;
size_t vtcm_row_per_thread = 0;
if (op == HTP_OP_RMS_NORM_MUL) {
if (broadcast_weight) {
size_t available_vtcm = vtcm_size;
size_t src1_vtcm_total = n_threads * src1_row_size_aligned;
if (available_vtcm > src1_vtcm_total) {
available_vtcm -= src1_vtcm_total;
} else {
available_vtcm = 0;
}
vtcm_size_per_row = 2 * (src0_row_size_aligned + dst_row_size_aligned);
vtcm_row_per_thread = available_vtcm / (n_threads * vtcm_size_per_row);
} else {
vtcm_size_per_row = 2 * (src0_row_size_aligned + dst_row_size_aligned + src1_row_size_aligned);
vtcm_row_per_thread = vtcm_size / (n_threads * vtcm_size_per_row);
}
} else {
vtcm_size_per_row = 2 * (src0_row_size_aligned + dst_row_size_aligned);
vtcm_row_per_thread = vtcm_size / (n_threads * vtcm_size_per_row);
}
const bool is_reduction = (op == HTP_OP_NORM || op == HTP_OP_RMS_NORM ||
op == HTP_OP_RMS_NORM_MUL || op == HTP_OP_L2_NORM);
// The tiled fallback path below only has F32 task functions (unary_task_f32_tiled_*);
// F16 has no tiled kernels, so it must stay on the row-block path like reduction ops.
// NOTE: if F16 ends up with vtcm_row_per_thread == 0 here (row too large for the VTCM
// budget), execute_op_unary() will see BLOCK == 0 and skip computation for that op
// (logged via FARF(ERROR, ...)) since there is no F16 tiled fallback. This is a known
// limitation; supporting it would require adding F16 tiled kernels.
const bool is_f16 = (elem_size == sizeof(_Float16));
uint32_t col_tile = 0;
if (vtcm_row_per_thread == 0 && !is_reduction && !is_f16) {
const size_t per_thread_budget = vtcm_size / n_threads;
const size_t col_tile_bytes = hex_align_down(per_thread_budget / 4, 128);
col_tile = (uint32_t) (col_tile_bytes / elem_size);
L->src0_bytes = col_tile_bytes * 2;
L->dst_bytes = col_tile_bytes * 2;
L->src1_bytes = 0;
} else {
L->src0_bytes = src0_row_size_aligned * vtcm_row_per_thread * 2;
L->dst_bytes = dst_row_size_aligned * vtcm_row_per_thread * 2;
if (op == HTP_OP_RMS_NORM_MUL) {
if (broadcast_weight) {
L->src1_bytes = src1_row_size_aligned;
} else {
L->src1_bytes = src1_row_size_aligned * vtcm_row_per_thread * 2;
}
} else {
L->src1_bytes = 0;
}
}
L->off_src0 = 0;
if (op == HTP_OP_RMS_NORM_MUL) {
L->off_src1 = L->off_src0 + L->src0_bytes * n_threads;
L->off_dst = L->off_src1 + L->src1_bytes * n_threads;
} else {
L->off_src1 = 0;
L->off_dst = L->off_src0 + L->src0_bytes * n_threads;
}
L->total_bytes = L->off_dst + L->dst_bytes * n_threads;
*out_col_tile = col_tile;
*out_vtcm_row_per_thread = vtcm_row_per_thread;
}
#endif /* HTP_UNARY_OPS_H */

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#include "work-queue.h"
#include "hex-utils.h"
#include <qurt.h>
#include <qurt_hvx.h>
#include <stdatomic.h>
#include <stdint.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "HAP_farf.h"
#define LOWEST_USABLE_QURT_PRIO (254)
// internal structure kept in thread-local storage per instance of work queue
typedef struct {
work_queue_t queue;
unsigned int id;
} worker_context_t;
struct work_queue_task_s {
work_queue_func_t func;
void * data;
unsigned int n_threads;
atomic_uint barrier;
};
// internal structure kept in thread-local storage per instance of work queue
struct work_queue_s {
atomic_uint seqn; // seqno used to detect new jobs
atomic_uint idx_read; // Updated by producer (pop/reclaim)
unsigned int idx_write; // Updated by producer (push)
uint32_t idx_mask;
uint32_t capacity;
qurt_thread_t thread[WORK_QUEUE_MAX_N_THREADS]; // thread ID's of the workers
worker_context_t context[WORK_QUEUE_MAX_N_THREADS]; // worker contexts
void * stack[WORK_QUEUE_MAX_N_THREADS]; // thread stack pointers
unsigned int n_threads; // total threads (workers + main)
unsigned int n_workers; // number of active threads (just workers)
atomic_bool active; // workers are polling/active
atomic_bool killed; // threads need to exit
bool external_mem; // memory owned externally
struct work_queue_task_s queue[] __attribute__((aligned(HEX_L2_LINE_SIZE)));
};
static void work_queue_thread(void * context) {
worker_context_t * me = (worker_context_t *) context;
work_queue_t q = me->queue;
FARF(HIGH, "work-queue: thread %u started", me->id);
unsigned int prev_seqn = 0;
while (!atomic_load_explicit(&q->killed, memory_order_relaxed)) {
unsigned int seqn = atomic_load_explicit(&q->seqn, memory_order_acquire);
if (seqn == prev_seqn) {
if (atomic_load_explicit(&q->active, memory_order_relaxed)) {
hex_pause();
} else {
qurt_futex_wait(&q->seqn, prev_seqn);
}
continue;
}
prev_seqn = seqn;
// Process all active tasks in the queue
unsigned int ir = atomic_load_explicit(&q->idx_read, memory_order_relaxed);
unsigned int iw = q->idx_write;
while (ir != iw) {
struct work_queue_task_s * task = &q->queue[ir];
unsigned int n = task->n_threads;
unsigned int i = me->id;
if (i < n) {
task->func(n, i, task->data);
atomic_fetch_sub_explicit(&task->barrier, 1, memory_order_release);
} else {
while (atomic_load_explicit(&task->barrier, memory_order_relaxed) > 0) {
hex_pause();
}
}
ir = (ir + 1) & q->idx_mask;
}
}
FARF(HIGH, "work-queue: thread %u stopped", me->id);
}
bool work_queue_run_async(work_queue_t q, work_queue_func_t func, void * data, unsigned int n) {
if (n > q->n_threads) {
FARF(ERROR, "work-queue: invalid number of jobs %u for n-threads %u", n, q->n_threads);
return false;
}
unsigned int ir = atomic_load_explicit(&q->idx_read, memory_order_relaxed);
unsigned int iw = q->idx_write;
if (((iw + 1) & q->idx_mask) == ir) {
FARF(ERROR, "work-queue-push: queue is full\n");
return false;
}
struct work_queue_task_s * task = &q->queue[iw];
task->func = func;
task->data = data;
task->n_threads = n;
atomic_store_explicit(&task->barrier, n, memory_order_relaxed);
q->idx_write = (iw + 1) & q->idx_mask;
// publish job to workers (already awake and polling)
atomic_fetch_add_explicit(&q->seqn, 1, memory_order_release);
// main thread runs job #0
func(n, 0, data);
atomic_fetch_sub_explicit(&task->barrier, 1, memory_order_release);
while (atomic_load_explicit(&task->barrier, memory_order_relaxed) > 0) {
hex_pause();
}
atomic_thread_fence(memory_order_acquire);
atomic_store_explicit(&q->idx_read, (ir + 1) & q->idx_mask, memory_order_relaxed);
return true;
}
size_t work_queue_sizeof(uint32_t n_threads, uint32_t capacity, uint32_t stack_size) {
capacity = hex_ceil_pow2(capacity);
uint32_t n_workers = n_threads > 1 ? n_threads - 1 : 0;
size_t size_stacks = stack_size * n_workers;
size_t size_q = hex_align_up(sizeof(struct work_queue_s) + capacity * sizeof(struct work_queue_task_s), HEX_L2_LINE_SIZE);
return size_stacks + size_q;
}
size_t work_queue_alignof(void) {
return 4096;
}
work_queue_t work_queue_init(void * ptr, uint32_t n_threads, uint32_t capacity, uint32_t stack_size) {
capacity = hex_ceil_pow2(capacity);
uint32_t n_workers = n_threads > 1 ? n_threads - 1 : 0;
unsigned char * mem_blob = (unsigned char *) ptr;
work_queue_t q = (work_queue_t) (mem_blob + stack_size * n_workers);
memset(q, 0, sizeof(struct work_queue_s) + capacity * sizeof(struct work_queue_task_s));
q->n_threads = n_threads;
q->n_workers = n_workers;
q->external_mem = true;
q->capacity = capacity;
for (unsigned int i = 0; i < n_workers; i++) {
q->stack[i] = mem_blob; mem_blob += stack_size;
q->thread[i] = 0;
q->context[i].id = i + 1;
q->context[i].queue = q;
}
atomic_init(&q->idx_read, 0);
atomic_init(&q->seqn, 0);
atomic_init(&q->active, false);
q->idx_write = 0;
q->idx_mask = capacity - 1;
q->killed = 0;
for (int i = 0; i < (int) capacity; i++) {
atomic_init(&q->queue[i].barrier, 0);
q->queue[i].func = NULL;
q->queue[i].data = NULL;
q->queue[i].n_threads = 0;
}
// launch the workers
qurt_thread_attr_t attr;
qurt_thread_attr_init(&attr);
for (unsigned int i = 0; i < n_workers; i++) {
qurt_thread_attr_set_stack_addr(&attr, q->stack[i]);
qurt_thread_attr_set_stack_size(&attr, stack_size);
char thread_name[32];
snprintf(thread_name, sizeof(thread_name), "work-queue:%u", i);
qurt_thread_attr_set_name(&attr, thread_name);
// set up priority - by default, match the creating thread's prio
int prio = qurt_thread_get_priority(qurt_thread_get_id());
if (prio < 1) {
prio = 1;
}
if (prio > LOWEST_USABLE_QURT_PRIO) {
prio = LOWEST_USABLE_QURT_PRIO;
}
qurt_thread_attr_set_priority(&attr, prio);
int err = qurt_thread_create(&q->thread[i], &attr, work_queue_thread, (void *) &q->context[i]);
if (err) {
FARF(ERROR, "Could not launch worker threads!");
work_queue_free(q);
return NULL;
}
}
return q;
}
void work_queue_free(work_queue_t q) {
if (!q) { return; }
atomic_store_explicit(&q->killed, 1, memory_order_relaxed);
atomic_fetch_add_explicit(&q->seqn, 1, memory_order_release);
qurt_futex_wake(&q->seqn, q->n_workers);
for (unsigned int i = 0; i < q->n_workers; i++) {
if (q->thread[i]) {
int status;
(void) qurt_thread_join(q->thread[i], &status);
}
}
}
void work_queue_wakeup(work_queue_t q) {
if (!atomic_load_explicit(&q->active, memory_order_relaxed)) {
atomic_store_explicit(&q->active, true, memory_order_release);
// Increment seqn and wake workers to transition them out of sleep
atomic_fetch_add_explicit(&q->seqn, 1, memory_order_release);
qurt_futex_wake(&q->seqn, q->n_workers);
}
}
void work_queue_suspend(work_queue_t q) {
atomic_store_explicit(&q->active, false, memory_order_release);
}

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#ifndef HTP_WORK_QUEUE_H
#define HTP_WORK_QUEUE_H
#include <stdbool.h>
#include <stdint.h>
#include <stddef.h>
typedef void (*work_queue_func_t)(unsigned int n, unsigned int i, void *);
struct work_queue_s;
typedef struct work_queue_s * work_queue_t;
#define WORK_QUEUE_MAX_N_THREADS 10
size_t work_queue_sizeof(uint32_t n_threads, uint32_t capacity, uint32_t stack_size);
size_t work_queue_alignof(void);
work_queue_t work_queue_init(void * ptr, uint32_t n_threads, uint32_t capacity, uint32_t stack_size);
void work_queue_free(work_queue_t q);
void work_queue_wakeup(work_queue_t q);
void work_queue_suspend(work_queue_t q);
bool work_queue_run_async(work_queue_t q, work_queue_func_t func, void * data, unsigned int n);
static inline bool work_queue_run(work_queue_t q, work_queue_func_t func, void * data, unsigned int n) {
if (n <= 1) {
func(n, 0, data);
return true;
}
return work_queue_run_async(q, func, data, n);
}
// Legacy compatibility
typedef work_queue_func_t worker_callback_t;
#define worker_pool_run_func work_queue_run
#define worker_pool work_queue
#endif // #ifndef HTP_WORK_QUEUE_H