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// 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 <math.h>
#include <immintrin.h>
#include <xnnpack/math-stubs.h>
void xnn_math_f32_extexp__avx512f_p5(
size_t n,
const float* input,
float* output_mantissa,
float* output_exponent)
{
assert(n % (16 * sizeof(float)) == 0);
const __m512 vlog2e = _mm512_set1_ps(0x1.715476p+0f);
const __m512 vminus_ln2_hi = _mm512_set1_ps(-0x1.62E43p-1f);
const __m512 vminus_ln2_lo = _mm512_set1_ps(0x1.05C61p-29f);
const __m512 vc0 = _mm512_set1_ps(1.0f);
const __m512 vc1 = _mm512_set1_ps(0x1.FFFFF6p-1f);
const __m512 vc2 = _mm512_set1_ps(0x1.FFFDC6p-2f);
const __m512 vc3 = _mm512_set1_ps(0x1.555A80p-3f);
const __m512 vc4 = _mm512_set1_ps(0x1.573A1Ap-5f);
const __m512 vc5 = _mm512_set1_ps(0x1.0F9F9Cp-7f);
for (; n != 0; n -= 16 * sizeof(float)) {
const __m512 vx = _mm512_loadu_ps(input);
// Compute reduced argument n := round(x / log(2)).
const __m512 vn = _mm512_roundscale_ps(_mm512_mul_ps(vx, vlog2e), 0);
// Compute reduced argument t := x - n * log(2).
// Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
__m512 vt = _mm512_fmadd_ps(vn, vminus_ln2_hi, vx);
vt = _mm512_fmadd_ps(vn, vminus_ln2_lo, vt);
// Compute degree-5 polynomial approxiatmion for exp(t) on [-log(2)/2, log(2)/2].
__m512 vp = _mm512_fmadd_ps(vc5, vt, vc4);
vp = _mm512_fmadd_ps(vp, vt, vc3);
vp = _mm512_fmadd_ps(vp, vt, vc2);
vp = _mm512_fmadd_ps(vp, vt, vc1);
vp = _mm512_fmadd_ps(vp, vt, vc0);
// Skip reconstruction step and separately store "mantissa" and "exponent" of the output.
_mm512_storeu_ps(output_mantissa, vp);
_mm512_storeu_ps(output_exponent, vn);
input += 16;
output_mantissa += 16;
output_exponent += 16;
}
}