// Auto-generated file. Do not edit! // Template: src/f32-vsigmoid/scalar-rr2-p5-div.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 #include #include "xnnpack/common.h" #include "xnnpack/math.h" #include "xnnpack/vunary.h" void xnn_f32_vsigmoid_ukernel__scalar_rr2_p5_div_u4( size_t batch, const float* input, float* output, const struct xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) { assert(batch != 0); assert(batch % sizeof(float) == 0); assert(input != NULL); assert(output != NULL); const float vmagic_bias = 0x1.8000FEp23f; const float vminus_log2e = -0x1.715476p0f; const float vln2_hi = 0x1.62E400p-1f; const float vln2_lo = 0x1.7F7D1Cp-20f; const float vc5 = -0x1.0F9F9Cp-7f; const float vc4 = 0x1.573A1Ap-5f; const float vc3 = -0x1.555A80p-3f; const float vc2 = 0x1.FFFDC6p-2f; const float vc1 = -0x1.FFFFF6p-1f; const float vone = 1.0f; const float vdenorm_cutoff = 0x1.5D589Ep+6f; for (; batch >= 4 * sizeof(float); batch -= 4 * sizeof(float)) { const float vx0 = input[0]; const float vx1 = input[1]; const float vx2 = input[2]; const float vx3 = input[3]; input += 4; const float vz0 = fabsf(vx0); const float vz1 = fabsf(vx1); const float vz2 = fabsf(vx2); const float vz3 = fabsf(vx3); float vn0 = vz0 * vminus_log2e + vmagic_bias; float vn1 = vz1 * vminus_log2e + vmagic_bias; float vn2 = vz2 * vminus_log2e + vmagic_bias; float vn3 = vz3 * vminus_log2e + vmagic_bias; const float vs0 = uint32_as_float(float_as_uint32(vn0) << 23); const float vs1 = uint32_as_float(float_as_uint32(vn1) << 23); const float vs2 = uint32_as_float(float_as_uint32(vn2) << 23); const float vs3 = uint32_as_float(float_as_uint32(vn3) << 23); vn0 -= vmagic_bias; vn1 -= vmagic_bias; vn2 -= vmagic_bias; vn3 -= vmagic_bias; float vt0 = vn0 * vln2_hi + vz0; float vt1 = vn1 * vln2_hi + vz1; float vt2 = vn2 * vln2_hi + vz2; float vt3 = vn3 * vln2_hi + vz3; vt0 = vn0 * vln2_lo + vt0; vt1 = vn1 * vln2_lo + vt1; vt2 = vn2 * vln2_lo + vt2; vt3 = vn3 * vln2_lo + vt3; float vp0 = vt0 * vc5 + vc4; float vp1 = vt1 * vc5 + vc4; float vp2 = vt2 * vc5 + vc4; float vp3 = vt3 * vc5 + vc4; vp0 = vt0 * vp0 + vc3; vp1 = vt1 * vp1 + vc3; vp2 = vt2 * vp2 + vc3; vp3 = vt3 * vp3 + vc3; vp0 = vt0 * vp0 + vc2; vp1 = vt1 * vp1 + vc2; vp2 = vt2 * vp2 + vc2; vp3 = vt3 * vp3 + vc2; vp0 = vt0 * vp0 + vc1; vp1 = vt1 * vp1 + vc1; vp2 = vt2 * vp2 + vc1; vp3 = vt3 * vp3 + vc1; vt0 *= vs0; vt1 *= vs1; vt2 *= vs2; vt3 *= vs3; const float ve0 = vt0 * vp0 + vs0; const float ve1 = vt1 * vp1 + vs1; const float ve2 = vt2 * vp2 + vs2; const float ve3 = vt3 * vp3 + vs3; const float vd0 = ve0 + vone; const float vd1 = ve1 + vone; const float vd2 = ve2 + vone; const float vd3 = ve3 + vone; float vf0 = ve0 / vd0; float vf1 = ve1 / vd1; float vf2 = ve2 / vd2; float vf3 = ve3 / vd3; if XNN_UNPREDICTABLE(vz0 > vdenorm_cutoff) { vf0 = 0.0f; } if XNN_UNPREDICTABLE(vz1 > vdenorm_cutoff) { vf1 = 0.0f; } if XNN_UNPREDICTABLE(vz2 > vdenorm_cutoff) { vf2 = 0.0f; } if XNN_UNPREDICTABLE(vz3 > vdenorm_cutoff) { vf3 = 0.0f; } if XNN_UNPREDICTABLE(vx0 > 0.0f) { vf0 = vone - vf0; } if XNN_UNPREDICTABLE(vx1 > 0.0f) { vf1 = vone - vf1; } if XNN_UNPREDICTABLE(vx2 > 0.0f) { vf2 = vone - vf2; } if XNN_UNPREDICTABLE(vx3 > 0.0f) { vf3 = vone - vf3; } output[0] = vf0; output[1] = vf1; output[2] = vf2; output[3] = vf3; output += 4; } if XNN_UNLIKELY(batch != 0) { do { const float vx = *input++; const float vz = fabsf(vx); float vn = vz * vminus_log2e + vmagic_bias; const float vs = uint32_as_float(float_as_uint32(vn) << 23); vn -= vmagic_bias; float vt = vn * vln2_hi + vz; vt = vn * vln2_lo + vt; float vp = vt * vc5 + vc4; vp = vt * vp + vc3; vp = vt * vp + vc2; vp = vt * vp + vc1; vt *= vs; const float ve = vt * vp + vs; const float vd = ve + vone; float vf = ve / vd; if XNN_UNPREDICTABLE(vz > vdenorm_cutoff) { vf = 0.0f; } if XNN_UNPREDICTABLE(vx > 0.0f) { vf = vone - vf; } *output++ = vf; batch -= sizeof(float); } while (batch != 0); } }