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// Auto-generated file. Do not edit!
// Template: src/f16-spmm/neonfp16arith.c.in
// Generator: tools/xngen
//
// Copyright 2019 Google LLC
//
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree.
#include <assert.h>
#include <arm_neon.h>
#include <xnnpack/prefetch.h>
#include <xnnpack/spmm.h>
void xnn_f16_spmm_minmax_ukernel_8x1__neonfp16arith_x2(
size_t mc,
size_t nc,
const void* input,
const void* weights,
const int32_t* widx_dmap,
const uint32_t* nidx_nnzmap,
void* output,
size_t output_stride,
const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)])
{
assert(mc != 0);
assert(mc % sizeof(uint16_t) == 0);
assert(nc != 0);
const uint16_t* i = (const uint16_t*) input;
uint16_t* o = (uint16_t*) output;
#if XNN_ARCH_ARM64
const uint16x8x2_t vminmax = vld2q_dup_u16(¶ms->fp16arith.min);
const float16x8_t vmin = vreinterpretq_f16_u16(vminmax.val[0]);
const float16x8_t vmax = vreinterpretq_f16_u16(vminmax.val[1]);
#else
// vld2_dup is to work around aarch32 clang bug with vld1q_dup
const uint16x4x2_t vminmax = vld2_dup_u16(¶ms->fp16arith.min);
const float16x8_t vmin = vreinterpretq_f16_u16(vcombine_u16(vminmax.val[0], vminmax.val[0]));
const float16x8_t vmax = vreinterpretq_f16_u16(vcombine_u16(vminmax.val[1], vminmax.val[1]));
#endif
size_t output_decrement = output_stride * nc - 8 * sizeof(uint16_t);
while XNN_LIKELY(mc >= 8 * sizeof(uint16_t)) {
const uint16_t* w = (const uint16_t*) weights;
const int32_t* dmap = widx_dmap;
const uint32_t* nnzmap = nidx_nnzmap;
size_t n = nc;
do {
uint32_t nnz = *nnzmap++;
float16x8_t vacc01234567x0 = vreinterpretq_f16_u16(vld1q_dup_u16(w)); w += 1;
float16x8_t vacc01234567x1 = vreinterpretq_f16_u16(vmovq_n_u16(0));
for (; nnz >= 2; nnz -= 2) {
const intptr_t diff0 = dmap[0];
const intptr_t diff1 = dmap[1];
dmap += 2;
const float16x8_t va01234567x0 = vreinterpretq_f16_u16(vld1q_u16(i));
i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff0);
xnn_prefetch_to_l1(i + 32);
const float16x8_t vw0 = vreinterpretq_f16_u16(vld1q_dup_u16(w)); w += 1;
xnn_prefetch_to_l1(w + 64);
vacc01234567x0 = vfmaq_f16(vacc01234567x0, va01234567x0, vw0);
const float16x8_t va01234567x1 = vreinterpretq_f16_u16(vld1q_u16(i));
i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff1);
xnn_prefetch_to_l1(i + 32);
const float16x8_t vw1 = vreinterpretq_f16_u16(vld1q_dup_u16(w)); w += 1;
xnn_prefetch_to_l1(w + 64);
vacc01234567x1 = vfmaq_f16(vacc01234567x1, va01234567x1, vw1);
}
float16x8_t vacc01234567 = vacc01234567x0;
vacc01234567 = vaddq_f16(vacc01234567, vacc01234567x1);
if XNN_LIKELY(nnz != 0) {
do {
const intptr_t diff = *dmap++;
const float16x8_t va01234567 = vreinterpretq_f16_u16(vld1q_u16(i));
i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff);
xnn_prefetch_to_l1(i + 32);
const float16x8_t vw = vreinterpretq_f16_u16(vld1q_dup_u16(w)); w += 1;
xnn_prefetch_to_l1(w + 64);
vacc01234567 = vfmaq_f16(vacc01234567, va01234567, vw);
} while (--nnz != 0);
}
float16x8_t vout01234567 = vminq_f16(vacc01234567, vmax);
vout01234567 = vmaxq_f16(vout01234567, vmin);
vst1q_u16(o, vreinterpretq_u16_f16(vout01234567));
o = (uint16_t*) ((uintptr_t) o + output_stride);
} while (--n != 0);
o = (uint16_t*) ((uintptr_t) o - output_decrement);
i += 8;
mc -= 8 * sizeof(uint16_t);
}
if XNN_UNLIKELY(mc != 0) {
output_decrement += 4 * sizeof(uint16_t);
if (mc & (4 * sizeof(uint16_t))) {
const uint16_t* w = (const uint16_t*) weights;
const int32_t* dmap = widx_dmap;
const uint32_t* nnzmap = nidx_nnzmap;
size_t n = nc;
do {
uint32_t nnz = *nnzmap++;
float16x4_t vacc0123 = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1;
if XNN_LIKELY(nnz != 0) {
do {
const intptr_t diff = *dmap++;
const float16x4_t va0123 = vreinterpret_f16_u16(vld1_u16(i));
i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff);
const float16x4_t vw = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1;
vacc0123 = vfma_f16(vacc0123, va0123, vw);
} while (--nnz != 0);
}
float16x4_t vout0123 = vmin_f16(vacc0123, vget_low_f16(vmax));
vout0123 = vmax_f16(vout0123, vget_low_f16(vmin));
vst1_u16(o, vreinterpret_u16_f16(vout0123));
o = (uint16_t*) ((uintptr_t) o + output_stride);
} while (--n != 0);
o = (uint16_t*) ((uintptr_t) o - output_decrement);
i += 4;
}
output_decrement += 2 * sizeof(uint16_t);
if (mc & (2 * sizeof(uint16_t))) {
const uint16_t* w = (const uint16_t*) weights;
const int32_t* dmap = widx_dmap;
const uint32_t* nnzmap = nidx_nnzmap;
size_t n = nc;
do {
uint32_t nnz = *nnzmap++;
float16x4_t vacc01 = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1;
if XNN_LIKELY(nnz != 0) {
do {
const intptr_t diff = *dmap++;
const float16x4_t va01 = vreinterpret_f16_u32(vld1_dup_u32((const void*) i));
i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff);
const float16x4_t vw = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1;
vacc01 = vfma_f16(vacc01, va01, vw);
} while (--nnz != 0);
}
float16x4_t vout01 = vmin_f16(vacc01, vget_low_f16(vmax));
vout01 = vmax_f16(vout01, vget_low_f16(vmin));
vst1_lane_u32((void*) o, vreinterpret_u32_f16(vout01), 0);
o = (uint16_t*) ((uintptr_t) o + output_stride);
} while (--n != 0);
o = (uint16_t*) ((uintptr_t) o - output_decrement);
i += 2;
}
output_decrement += 1 * sizeof(uint16_t);
if (mc & (1 * sizeof(uint16_t))) {
const uint16_t* w = (const uint16_t*) weights;
const int32_t* dmap = widx_dmap;
const uint32_t* nnzmap = nidx_nnzmap;
size_t n = nc;
do {
uint32_t nnz = *nnzmap++;
float16x4_t vacc0 = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1;
if XNN_LIKELY(nnz != 0) {
do {
const intptr_t diff = *dmap++;
const float16x4_t va0 = vreinterpret_f16_u16(vld1_dup_u16(i));
i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff);
const float16x4_t vw = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1;
vacc0 = vfma_f16(vacc0, va0, vw);
} while (--nnz != 0);
}
float16x4_t vout0 = vmin_f16(vacc0, vget_low_f16(vmax));
vout0 = vmax_f16(vout0, vget_low_f16(vmin));
vst1_lane_u16(o, vreinterpret_u16_f16(vout0), 0);
o = (uint16_t*) ((uintptr_t) o + output_stride);
} while (--n != 0);
o = (uint16_t*) ((uintptr_t) o - output_decrement);
i += 1;
}
}
}
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