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// Auto-generated file. Do not edit!
// Template: src/f32-velu/scalar-rr2-p6.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 <math.h>
#include <xnnpack/common.h>
#include <xnnpack/vunary.h>
#include <fp16/bitcasts.h>
void xnn_f32_velu_ukernel__wasm_rr2_p6_x3(
size_t n,
const float* x,
float* y,
const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)])
{
assert(n % sizeof(float) == 0);
const float vprescale = params->scalar_rr2_p6.prescale;
const float valpha = params->scalar_rr2_p6.alpha;
const float vbeta = params->scalar_rr2_p6.beta;
const float vmagic_bias = params->scalar_rr2_p6.magic_bias;
const float vlog2e = params->scalar_rr2_p6.log2e;
const float vsat_cutoff = params->scalar_rr2_p6.sat_cutoff;
const float vminus_ln2_hi = params->scalar_rr2_p6.minus_ln2_hi;
const float vminus_ln2_lo = params->scalar_rr2_p6.minus_ln2_lo;
const float vc6 = params->scalar_rr2_p6.c6;
const float vc5 = params->scalar_rr2_p6.c5;
const float vc4 = params->scalar_rr2_p6.c4;
const float vc3 = params->scalar_rr2_p6.c3;
const float vc2 = params->scalar_rr2_p6.c2;
const float vone = params->scalar_rr2_p6.one;
for (; n >= 3 * sizeof(float); n -= 3 * sizeof(float)) {
float vx0 = x[0];
float vx1 = x[1];
float vx2 = x[2];
x += 3;
const float vz0 = __builtin_wasm_min_f32(__builtin_wasm_max_f32(vx0 * vprescale, vsat_cutoff), 0.0f);
const float vz1 = __builtin_wasm_min_f32(__builtin_wasm_max_f32(vx1 * vprescale, vsat_cutoff), 0.0f);
const float vz2 = __builtin_wasm_min_f32(__builtin_wasm_max_f32(vx2 * vprescale, vsat_cutoff), 0.0f);
float vn0 = vz0 * vlog2e + vmagic_bias;
float vn1 = vz1 * vlog2e + vmagic_bias;
float vn2 = vz2 * vlog2e + vmagic_bias;
float vs0 = fp32_from_bits(fp32_to_bits(vn0) << 23);
vn0 -= vmagic_bias;
float vs1 = fp32_from_bits(fp32_to_bits(vn1) << 23);
vn1 -= vmagic_bias;
float vs2 = fp32_from_bits(fp32_to_bits(vn2) << 23);
vn2 -= vmagic_bias;
float vt0 = vn0 * vminus_ln2_hi + vz0;
float vt1 = vn1 * vminus_ln2_hi + vz1;
float vt2 = vn2 * vminus_ln2_hi + vz2;
vt0 = vn0 * vminus_ln2_lo + vt0;
vt1 = vn1 * vminus_ln2_lo + vt1;
vt2 = vn2 * vminus_ln2_lo + vt2;
float vp0 = vc6 * vt0 + vc5;
float vp1 = vc6 * vt1 + vc5;
float vp2 = vc6 * vt2 + vc5;
vp0 = vp0 * vt0 + vc4;
vp1 = vp1 * vt1 + vc4;
vp2 = vp2 * vt2 + vc4;
vp0 = vp0 * vt0 + vc3;
vp1 = vp1 * vt1 + vc3;
vp2 = vp2 * vt2 + vc3;
vp0 = vp0 * vt0 + vc2;
vp1 = vp1 * vt1 + vc2;
vp2 = vp2 * vt2 + vc2;
vp0 *= vt0;
vp1 *= vt1;
vp2 *= vt2;
vt0 *= vs0;
vs0 -= vone;
vt1 *= vs1;
vs1 -= vone;
vt2 *= vs2;
vs2 -= vone;
vp0 = vp0 * vt0 + vt0;
vp1 = vp1 * vt1 + vt1;
vp2 = vp2 * vt2 + vt2;
const float ve0 = (vp0 + vs0) * valpha;
float vy0 = __builtin_wasm_max_f32(vx0 * vbeta, 0.0f);
const float ve1 = (vp1 + vs1) * valpha;
float vy1 = __builtin_wasm_max_f32(vx1 * vbeta, 0.0f);
const float ve2 = (vp2 + vs2) * valpha;
float vy2 = __builtin_wasm_max_f32(vx2 * vbeta, 0.0f);
vy0 += __builtin_wasm_min_f32(ve0, 0.0f);
vy1 += __builtin_wasm_min_f32(ve1, 0.0f);
vy2 += __builtin_wasm_min_f32(ve2, 0.0f);
y[0] = vy0;
y[1] = vy1;
y[2] = vy2;
y += 3;
}
if XNN_UNLIKELY(n != 0) {
do {
float vx = *x++;
const float vz = __builtin_wasm_min_f32(__builtin_wasm_max_f32(vx * vprescale, vsat_cutoff), 0.0f);
float vn = vz * vlog2e + vmagic_bias;
float vs = fp32_from_bits(fp32_to_bits(vn) << 23);
vn -= vmagic_bias;
float vt = vn * vminus_ln2_hi + vz;
vt = vn * vminus_ln2_lo + vt;
float vp = vc6 * vt + vc5;
vp = vp * vt + vc4;
vp = vp * vt + vc3;
vp = vp * vt + vc2;
vp *= vt;
vt *= vs;
vs -= vone;
vp = vp * vt + vt;
const float ve = (vp + vs) * valpha;
float vy = __builtin_wasm_max_f32(vx * vbeta, 0.0f);
vy += __builtin_wasm_min_f32(ve, 0.0f);
*y++ = vy;
n -= sizeof(float);
} while (n != 0);
}
}