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#include <assert.h> |
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#include <arm_neon.h> |
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#include <xnnpack/common.h> |
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#include <xnnpack/vunary.h> |
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void xnn_f16_vsigmoid_ukernel__neonfp16arith_rr2_p2_nr1fma_x16( |
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size_t batch, |
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const void* input, |
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void* output, |
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const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS |
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{ |
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assert(batch != 0); |
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assert(batch % sizeof(uint16_t) == 0); |
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assert(input != NULL); |
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assert(output != NULL); |
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const float16x8_t vmagic_bias = vreinterpretq_f16_u16(vld1q_dup_u16(¶ms->fp16arith_rr2_p2.magic_bias)); |
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const float16x8_t vminus_log2e = vreinterpretq_f16_u16(vld1q_dup_u16(¶ms->fp16arith_rr2_p2.minus_log2e)); |
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const float16x8_t vln2_hi = vreinterpretq_f16_u16(vld1q_dup_u16(¶ms->fp16arith_rr2_p2.ln2_hi)); |
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const float16x8_t vln2_lo = vreinterpretq_f16_u16(vld1q_dup_u16(¶ms->fp16arith_rr2_p2.ln2_lo)); |
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const float16x8_t vc2 = vreinterpretq_f16_u16(vld1q_dup_u16(¶ms->fp16arith_rr2_p2.c2)); |
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const float16x8_t vc1 = vreinterpretq_f16_u16(vld1q_dup_u16(¶ms->fp16arith_rr2_p2.c1)); |
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const float16x8_t vone = vreinterpretq_f16_u16(vmovq_n_u16(UINT16_C(0x3C00))); |
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const float16x8_t vdenorm_cutoff = vreinterpretq_f16_u16(vld1q_dup_u16(¶ms->fp16arith_rr2_p2.denorm_cutoff)); |
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const uint16_t* i = (const uint16_t*) input; |
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uint16_t* o = (uint16_t*) output; |
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for (; batch >= 16 * sizeof(uint16_t); batch -= 16 * sizeof(uint16_t)) { |
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const float16x8_t vx0 = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8; |
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const float16x8_t vx1 = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8; |
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const float16x8_t vz0 = vabsq_f16(vx0); |
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const float16x8_t vz1 = vabsq_f16(vx1); |
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float16x8_t vn0 = vfmaq_f16(vmagic_bias, vz0, vminus_log2e); |
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float16x8_t vn1 = vfmaq_f16(vmagic_bias, vz1, vminus_log2e); |
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const float16x8_t vs0 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn0), 10)); |
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const float16x8_t vs1 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn1), 10)); |
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vn0 = vsubq_f16(vn0, vmagic_bias); |
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vn1 = vsubq_f16(vn1, vmagic_bias); |
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float16x8_t vt0 = vfmaq_f16(vz0, vn0, vln2_hi); |
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float16x8_t vt1 = vfmaq_f16(vz1, vn1, vln2_hi); |
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vt0 = vfmaq_f16(vt0, vn0, vln2_lo); |
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vt1 = vfmaq_f16(vt1, vn1, vln2_lo); |
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const float16x8_t vp0 = vfmaq_f16(vc1, vc2, vt0); |
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const float16x8_t vp1 = vfmaq_f16(vc1, vc2, vt1); |
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vt0 = vmulq_f16(vt0, vs0); |
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vt1 = vmulq_f16(vt1, vs1); |
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const float16x8_t ve0 = vfmaq_f16(vs0, vp0, vt0); |
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const float16x8_t ve1 = vfmaq_f16(vs1, vp1, vt1); |
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const float16x8_t vd0 = vaddq_f16(ve0, vone); |
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const float16x8_t vd1 = vaddq_f16(ve1, vone); |
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float16x8_t vr0 = vrecpeq_f16(vd0); |
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float16x8_t vr1 = vrecpeq_f16(vd1); |
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const float16x8_t vadj0 = vfmsq_f16(vone, vr0, vd0); |
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const float16x8_t vadj1 = vfmsq_f16(vone, vr1, vd1); |
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vr0 = vfmaq_f16(vr0, vr0, vadj0); |
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vr1 = vfmaq_f16(vr1, vr1, vadj1); |
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float16x8_t vf0 = vmulq_f16(ve0, vr0); |
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float16x8_t vf1 = vmulq_f16(ve1, vr1); |
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vf0 = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf0), vcagtq_f16(vx0, vdenorm_cutoff))); |
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vf1 = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf1), vcagtq_f16(vx1, vdenorm_cutoff))); |
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const uint16x8_t vm0 = vcltq_f16(vx0, vreinterpretq_f16_u16(vmovq_n_u16(0))); |
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const uint16x8_t vm1 = vcltq_f16(vx1, vreinterpretq_f16_u16(vmovq_n_u16(0))); |
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vf0 = vbslq_f16(vm0, vf0, vsubq_f16(vone, vf0)); |
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vf1 = vbslq_f16(vm1, vf1, vsubq_f16(vone, vf1)); |
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vst1q_u16(o, vreinterpretq_u16_f16(vf0)); o += 8; |
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vst1q_u16(o, vreinterpretq_u16_f16(vf1)); o += 8; |
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} |
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for (; batch >= 8 * sizeof(uint16_t); batch -= 8 * sizeof(uint16_t)) { |
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const float16x8_t vx = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8; |
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const float16x8_t vz = vabsq_f16(vx); |
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float16x8_t vn = vfmaq_f16(vmagic_bias, vz, vminus_log2e); |
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const float16x8_t vs = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn), 10)); |
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vn = vsubq_f16(vn, vmagic_bias); |
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float16x8_t vt = vfmaq_f16(vz, vn, vln2_hi); |
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vt = vfmaq_f16(vt, vn, vln2_lo); |
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const float16x8_t vp = vfmaq_f16(vc1, vc2, vt); |
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vt = vmulq_f16(vt, vs); |
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const float16x8_t ve = vfmaq_f16(vs, vp, vt); |
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const float16x8_t vd = vaddq_f16(ve, vone); |
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float16x8_t vr = vrecpeq_f16(vd); |
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const float16x8_t vadj = vfmsq_f16(vone, vr, vd); |
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vr = vfmaq_f16(vr, vr, vadj); |
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float16x8_t vf = vmulq_f16(ve, vr); |
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vf = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf), vcagtq_f16(vx, vdenorm_cutoff))); |
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const uint16x8_t vm = vcltq_f16(vx, vreinterpretq_f16_u16(vmovq_n_u16(0))); |
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vf = vbslq_f16(vm, vf, vsubq_f16(vone, vf)); |
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vst1q_u16(o, vreinterpretq_u16_f16(vf)); o += 8; |
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} |
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if XNN_UNLIKELY(batch != 0) { |
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const float16x8_t vx = vreinterpretq_f16_u16(vld1q_u16(i)); |
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const float16x8_t vz = vabsq_f16(vx); |
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float16x8_t vn = vfmaq_f16(vmagic_bias, vz, vminus_log2e); |
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const float16x8_t vs = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn), 10)); |
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vn = vsubq_f16(vn, vmagic_bias); |
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float16x8_t vt = vfmaq_f16(vz, vn, vln2_hi); |
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vt = vfmaq_f16(vt, vn, vln2_lo); |
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const float16x8_t vp = vfmaq_f16(vc1, vc2, vt); |
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vt = vmulq_f16(vt, vs); |
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const float16x8_t ve = vfmaq_f16(vs, vp, vt); |
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const float16x8_t vd = vaddq_f16(ve, vone); |
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float16x8_t vr = vrecpeq_f16(vd); |
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const float16x8_t vadj = vfmsq_f16(vone, vr, vd); |
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vr = vfmaq_f16(vr, vr, vadj); |
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float16x8_t vf = vmulq_f16(ve, vr); |
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vf = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf), vcagtq_f16(vx, vdenorm_cutoff))); |
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const uint16x8_t vm = vcltq_f16(vx, vreinterpretq_f16_u16(vmovq_n_u16(0))); |
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vf = vbslq_f16(vm, vf, vsubq_f16(vone, vf)); |
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float16x4_t vf_lo = vget_low_f16(vf); |
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if (batch & (4 * sizeof(uint16_t))) { |
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vst1_u16(o, vreinterpret_u16_f16(vf_lo)); o += 4; |
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vf_lo = vget_high_f16(vf); |
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} |
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if (batch & (2 * sizeof(uint16_t))) { |
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vst1_lane_u32((void*) o, vreinterpret_u32_f16(vf_lo), 0); o += 2; |
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vf_lo = vext_f16(vf_lo, vf_lo, 2); |
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} |
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if (batch & (1 * sizeof(uint16_t))) { |
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vst1_lane_u16(o, vreinterpret_u16_f16(vf_lo), 0); |
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} |
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} |
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} |
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