test / src /f16-gemm /gen /f16-gemm-1x8-minmax-neonfp16arith-ld64.c
Androidonnxfork's picture
Upload folder using huggingface_hub
8b7c501
raw
history blame
4.1 kB
// Auto-generated file. Do not edit!
// Template: src/f16-gemm/neonfp16arith-ld64.c.in
// Generator: tools/xngen
//
// Copyright 2020 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/common.h>
#include <xnnpack/gemm.h>
#include <xnnpack/intrinsics-polyfill.h>
void xnn_f16_gemm_minmax_ukernel_1x8__neonfp16arith_ld64(
size_t mr,
size_t nc,
size_t kc,
const void* restrict a,
size_t a_stride,
const void* restrict w,
void* restrict c,
size_t cm_stride,
size_t cn_stride,
const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)])
{
assert(mr != 0);
assert(mr <= 1);
assert(nc != 0);
assert(kc != 0);
assert(kc % sizeof(uint16_t) == 0);
assert(a != NULL);
assert(w != NULL);
assert(c != NULL);
const uint16_t* a0 = (const uint16_t*) a;
uint16_t* c0 = (uint16_t*) c;
do {
float16x8_t vacc0x01234567 = vreinterpretq_f16_u16(vld1q_u16(w)); w = (const void*) ((uintptr_t) w + sizeof(float16x8_t));
size_t k = kc;
while (k >= 4 * sizeof(uint16_t)) {
const float16x4_t va0 = vreinterpret_f16_u16(vld1_u16(a0)); a0 += 4;
const float16x8_t vb01234567c0 = vreinterpretq_f16_u16(vld1q_u16(w)); w = (const void*) ((uintptr_t) w + sizeof(float16x8_t));
#if XNN_ARCH_ARM64
vacc0x01234567 = vfmaq_lane_f16(vacc0x01234567, vb01234567c0, va0, 0);
#else
vacc0x01234567 = vmlaq_lane_f16(vacc0x01234567, vb01234567c0, va0, 0);
#endif
const float16x8_t vb01234567c1 = vreinterpretq_f16_u16(vld1q_u16(w)); w = (const void*) ((uintptr_t) w + sizeof(float16x8_t));
#if XNN_ARCH_ARM64
vacc0x01234567 = vfmaq_lane_f16(vacc0x01234567, vb01234567c1, va0, 1);
#else
vacc0x01234567 = vmlaq_lane_f16(vacc0x01234567, vb01234567c1, va0, 1);
#endif
const float16x8_t vb01234567c2 = vreinterpretq_f16_u16(vld1q_u16(w)); w = (const void*) ((uintptr_t) w + sizeof(float16x8_t));
#if XNN_ARCH_ARM64
vacc0x01234567 = vfmaq_lane_f16(vacc0x01234567, vb01234567c2, va0, 2);
#else
vacc0x01234567 = vmlaq_lane_f16(vacc0x01234567, vb01234567c2, va0, 2);
#endif
const float16x8_t vb01234567c3 = vreinterpretq_f16_u16(vld1q_u16(w)); w = (const void*) ((uintptr_t) w + sizeof(float16x8_t));
#if XNN_ARCH_ARM64
vacc0x01234567 = vfmaq_lane_f16(vacc0x01234567, vb01234567c3, va0, 3);
#else
vacc0x01234567 = vmlaq_lane_f16(vacc0x01234567, vb01234567c3, va0, 3);
#endif
k -= 4 * sizeof(uint16_t);
}
if XNN_UNLIKELY(k != 0) {
do {
const float16x8_t va0 = vreinterpretq_f16_u16(vld1q_dup_u16(a0)); a0 += 1;
const float16x8_t vb01234567 = vreinterpretq_f16_u16(vld1q_u16(w)); w = (const void*) ((uintptr_t) w + sizeof(float16x8_t));
vacc0x01234567 = vfmaq_f16(vacc0x01234567, va0, vb01234567);
k -= sizeof(uint16_t);
} while (k != 0);
}
const float16x8_t vmin = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith.min));
vacc0x01234567 = vmaxq_f16(vacc0x01234567, vmin);
const float16x8_t vmax = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith.max));
vacc0x01234567 = vminq_f16(vacc0x01234567, vmax);
if XNN_LIKELY(nc >= 8) {
vst1q_u16(c0, vreinterpretq_u16_f16(vacc0x01234567));
c0 = (uint16_t*) ((uintptr_t) c0 + cn_stride);
a0 = (const uint16_t*) ((uintptr_t) a0 - kc);
nc -= 8;
} else {
float16x4_t vacc0x0123 = vget_low_f16(vacc0x01234567);
if (nc & 4) {
vst1_u16(c0, vreinterpret_u16_f16(vacc0x0123)); c0 += 4;
vacc0x0123 = vget_high_f16(vacc0x01234567);
}
if (nc & 2) {
vst1_lane_u32((void*) c0, vreinterpret_u32_f16(vacc0x0123), 0); c0 += 2;
vacc0x0123 = vext_f16(vacc0x0123, vacc0x0123, 2);
}
if (nc & 1) {
vst1_lane_u16(c0, vreinterpret_u16_f16(vacc0x0123), 0);
}
nc = 0;
}
} while (nc != 0);
}