// 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 #include #include #include 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 approximation 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; } }