// Auto-generated file. Do not edit! // Template: src/qs8-vadd/neon.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 #include #include "xnnpack/vbinary.h" void xnn_qu8_vadd_minmax_ukernel__neon_ld64_u8( size_t batch, const uint8_t* input_a, const uint8_t* input_b, uint8_t* output, const struct xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS { assert(batch != 0); assert(batch % sizeof(uint8_t) == 0); assert(input_a != NULL); assert(input_b != NULL); assert(output != NULL); const uint8x8_t va_zero_point = vld1_dup_u8(¶ms->scalar.a_zero_point); const uint8x8_t vb_zero_point = vld1_dup_u8(¶ms->scalar.b_zero_point); const int32x4_t va_multiplier = vld1q_dup_s32(¶ms->scalar.a_multiplier); const int32x4_t vb_multiplier = vld1q_dup_s32(¶ms->scalar.b_multiplier); const int32x4_t vright_shift = vdupq_n_s32(-params->scalar.shift); const int16x8_t voutput_zero_point = vld1q_dup_s16(¶ms->scalar.output_zero_point); const uint8x8_t voutput_min = vld1_dup_u8(¶ms->scalar.output_min); const uint8x8_t voutput_max = vld1_dup_u8(¶ms->scalar.output_max); for (; batch >= 8 * sizeof(uint8_t); batch -= 8 * sizeof(uint8_t)) { const uint8x8_t va01234567 = vld1_u8(input_a); input_a += 8; const uint8x8_t vb01234567 = vld1_u8(input_b); input_b += 8; const int16x8_t vxa01234567 = vreinterpretq_s16_u16(vsubl_u8(va01234567, va_zero_point)); const int16x8_t vxb01234567 = vreinterpretq_s16_u16(vsubl_u8(vb01234567, vb_zero_point)); int32x4_t vacc0123 = vmulq_s32(vmovl_s16(vget_low_s16(vxa01234567)), va_multiplier); int32x4_t vacc4567 = vmulq_s32(vmovl_s16(vget_high_s16(vxa01234567)), va_multiplier); vacc0123 = vmlaq_s32(vacc0123, vmovl_s16(vget_low_s16(vxb01234567)), vb_multiplier); vacc4567 = vmlaq_s32(vacc4567, vmovl_s16(vget_high_s16(vxb01234567)), vb_multiplier); vacc0123 = vrshlq_s32(vacc0123, vright_shift); vacc4567 = vrshlq_s32(vacc4567, vright_shift); const int16x8_t vacc01234567 = vqaddq_s16(vcombine_s16(vqmovn_s32(vacc0123), vqmovn_s32(vacc4567)), voutput_zero_point); uint8x8_t vout01234567 = vqmovun_s16(vacc01234567); vout01234567 = vmax_u8(vout01234567, voutput_min); vout01234567 = vmin_u8(vout01234567, voutput_max); vst1_u8(output, vout01234567); output += 8; } if XNN_UNLIKELY(batch != 0) { { const uint8x8_t va01234567 = vld1_u8(input_a); const uint8x8_t vb01234567 = vld1_u8(input_b); const int16x8_t vxa01234567 = vreinterpretq_s16_u16(vsubl_u8(va01234567, va_zero_point)); const int16x8_t vxb01234567 = vreinterpretq_s16_u16(vsubl_u8(vb01234567, vb_zero_point)); int32x4_t vacc0123 = vmulq_s32(vmovl_s16(vget_low_s16(vxa01234567)), va_multiplier); int32x4_t vacc4567 = vmulq_s32(vmovl_s16(vget_high_s16(vxa01234567)), va_multiplier); vacc0123 = vmlaq_s32(vacc0123, vmovl_s16(vget_low_s16(vxb01234567)), vb_multiplier); vacc4567 = vmlaq_s32(vacc4567, vmovl_s16(vget_high_s16(vxb01234567)), vb_multiplier); vacc0123 = vrshlq_s32(vacc0123, vright_shift); vacc4567 = vrshlq_s32(vacc4567, vright_shift); const int16x8_t vacc01234567 = vqaddq_s16(vcombine_s16(vqmovn_s32(vacc0123), vqmovn_s32(vacc4567)), voutput_zero_point); uint8x8_t vout01234567 = vqmovun_s16(vacc01234567); vout01234567 = vmax_u8(vout01234567, voutput_min); vout01234567 = vmin_u8(vout01234567, voutput_max); if (batch & (4 * sizeof(uint8_t))) { vst1_lane_u32((void*) output, vreinterpret_u32_u8(vout01234567), 0); output += 4; vout01234567 = vext_u8(vout01234567, vout01234567, 4); } if (batch & (2 * sizeof(uint8_t))) { vst1_lane_u16((void*) output, vreinterpret_u16_u8(vout01234567), 0); output += 2; vout01234567 = vext_u8(vout01234567, vout01234567, 2); } if (batch & (1 * sizeof(uint8_t))) { vst1_lane_u8(output, vout01234567, 0); } } } }