text: // Auto-generated file. Do not edit!
  //   Template: src/qs8-gemm/MRxNRc4-neondot.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 <assert.h>
  
  #include <arm_neon.h>
  
  #include <xnnpack/gemm.h>
  
  
  // This kernel uses ARMv8.2 dot-product instructions.
  //
  // Scalar model: xnn_qs8_gemm_minmax_ukernel_1x16c4__scalar. Refer to
  // that kernel for more comments.
  void xnn_qs8_gemm_minmax_ukernel_1x16c4__neondot(
      size_t mr,
      size_t nc,
      size_t kc,
      const int8_t* restrict a,
      size_t a_stride,
      const void* restrict w,
      int8_t* restrict c,
      size_t cm_stride,
      size_t cn_stride,
      const union xnn_qs8_gemm_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN {
    assert(mr != 0);
    assert(mr <= 1);
    assert(nc != 0);
    assert(kc != 0);
  
    const int8_t* a0 = a;
    int8_t* c0 = c;
  
    // Loop over groups of 16 columns.
    do {
      // Initialize accumulators with bias. 16 bias values are loaded from the
      // weight matrix, at the start of the group of 16 columns.
      int32x4_t vacc0x0123 = vld1q_s32(w); w = (const void*) ((uintptr_t) w + 4 * sizeof(int32_t));
      int32x4_t vacc0x4567 = vld1q_s32(w); w = (const void*) ((uintptr_t) w + 4 * sizeof(int32_t));
      int32x4_t vacc0x89AB = vld1q_s32(w); w = (const void*) ((uintptr_t) w + 4 * sizeof(int32_t));
      int32x4_t vacc0xCDEF = vld1q_s32(w); w = (const void*) ((uintptr_t) w + 4 * sizeof(int32_t));
  
      // Inner accumulation loop along the 16 columns.
      size_t k = kc;
      // 2x partial unrolled loop to load 8 bytes at a time.
      while (k >= 8 * sizeof(int8_t)) {
        // Load a 1x8 block of activations.
        const int8x8_t va0x01234567 = vld1_s8(a0); a0 += 8;
  
        // Load a 8x16 block of weights.
        const int8x16_t vb0123x0123 = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
        const int8x16_t vb0123x4567 = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
        const int8x16_t vb0123x89AB = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
        const int8x16_t vb0123xCDEF = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
        const int8x16_t vb4567x0123 = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
        const int8x16_t vb4567x4567 = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
        const int8x16_t vb4567x89AB = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
        const int8x16_t vb4567xCDEF = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
  
        // Multiply-accumulate: 1x8 * 8x16 --> 1x16.
        vacc0x0123 = vdotq_lane_s32(vacc0x0123, vb0123x0123, va0x01234567, 0);
        vacc0x4567 = vdotq_lane_s32(vacc0x4567, vb0123x4567, va0x01234567, 0);
        vacc0x89AB = vdotq_lane_s32(vacc0x89AB, vb0123x89AB, va0x01234567, 0);
        vacc0xCDEF = vdotq_lane_s32(vacc0xCDEF, vb0123xCDEF, va0x01234567, 0);
        vacc0x0123 = vdotq_lane_s32(vacc0x0123, vb4567x0123, va0x01234567, 1);
        vacc0x4567 = vdotq_lane_s32(vacc0x4567, vb4567x4567, va0x01234567, 1);
        vacc0x89AB = vdotq_lane_s32(vacc0x89AB, vb4567x89AB, va0x01234567, 1);
        vacc0xCDEF = vdotq_lane_s32(vacc0xCDEF, vb4567xCDEF, va0x01234567, 1);
  
        k -= 8 * sizeof(int8_t);
      }
      // Handle up to 7 final positions of `k`
      if XNN_UNLIKELY(k != 0) {
        // Load a 1x4 block of activations.
        const int8x8_t va0x01234567 = vld1_s8(a0); a0 += k;
  
        // Load a 4x16 block of weights.
        const int8x16_t vb0123x0123 = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
        const int8x16_t vb0123x4567 = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
        const int8x16_t vb0123x89AB = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
        const int8x16_t vb0123xCDEF = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
  
        // Multiply-accumulate: 1x4 * 4x16 --> 1x16.
        vacc0x0123 = vdotq_lane_s32(vacc0x0123, vb0123x0123, va0x01234567, 0);
        vacc0x4567 = vdotq_lane_s32(vacc0x4567, vb0123x4567, va0x01234567, 0);
        vacc0x89AB = vdotq_lane_s32(vacc0x89AB, vb0123x89AB, va0x01234567, 0);
        vacc0xCDEF = vdotq_lane_s32(vacc0xCDEF, vb0123xCDEF, va0x01234567, 0);
  
        if (k > 4) {
          // Load a 4x16 block of weights.
          const int8x16_t vb4567x0123 = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
          const int8x16_t vb4567x4567 = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
          const int8x16_t vb4567x89AB = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
          const int8x16_t vb4567xCDEF = vld1q_s8(w); w = (const void*)((const int8_t*)w + 16);
  
          // Multiply-accumulate: 1x4 * 4x16 --> 1x16.
          vacc0x0123 = vdotq_lane_s32(vacc0x0123, vb4567x0123, va0x01234567, 1);
          vacc0x4567 = vdotq_lane_s32(vacc0x4567, vb4567x4567, va0x01234567, 1);
          vacc0x89AB = vdotq_lane_s32(vacc0x89AB, vb4567x89AB, va0x01234567, 1);
          vacc0xCDEF = vdotq_lane_s32(vacc0xCDEF, vb4567xCDEF, va0x01234567, 1);
        }
      }
      // End of accumulation loop. The variable `kc` contains the amount by which
      // we advanced the `va` pointers, so we rewind by this amount now.
      a0 = (const int8_t*)((uintptr_t)a0 - kc);
  
      // Post-accumulation work
  
      const int32x4_t vright_shift = vld1q_dup_s32(&params->neon.right_shift);
      const int32x4_t vzero_shift_mask = vreinterpretq_s32_u32(vceqq_s32(vright_shift, vmovq_n_s32(0)));
  
      const int32x4_t vproduct0x0123 = vqrdmulhq_n_s32(vacc0x0123, params->neon.multiplier);
      const int32x4_t vproduct0x4567 = vqrdmulhq_n_s32(vacc0x4567, params->neon.multiplier);
      const int32x4_t vproduct0x89AB = vqrdmulhq_n_s32(vacc0x89AB, params->neon.multiplier);
      const int32x4_t vproduct0xCDEF = vqrdmulhq_n_s32(vacc0xCDEF, params->neon.multiplier);
  
      vacc0x0123 = vsraq_n_s32(vproduct0x0123, vbicq_s32(vacc0x0123, vzero_shift_mask), 31);
      vacc0x4567 = vsraq_n_s32(vproduct0x4567, vbicq_s32(vacc0x4567, vzero_shift_mask), 31);
      vacc0x89AB = vsraq_n_s32(vproduct0x89AB, vbicq_s32(vacc0x89AB, vzero_shift_mask), 31);
      vacc0xCDEF = vsraq_n_s32(vproduct0xCDEF, vbicq_s32(vacc0xCDEF, vzero_shift_mask), 31);
  
      vacc0x0123 = vrshlq_s32(vacc0x0123, vright_shift);
      vacc0x4567 = vrshlq_s32(vacc0x4567, vright_shift);
      vacc0x89AB = vrshlq_s32(vacc0x89AB, vright_shift);
      vacc0xCDEF = vrshlq_s32(vacc0xCDEF, vright_shift);
  
      const int16x8_t voutput_zero_point = vld1q_dup_s16(&params->neon.output_zero_point);
  #if XNN_ARCH_ARM64
      const int16x8_t vacc0x01234567 = vqaddq_s16(vqmovn_high_s32(vqmovn_s32(vacc0x0123), vacc0x4567), voutput_zero_point);
      const int16x8_t vacc0x89ABCDEF = vqaddq_s16(vqmovn_high_s32(vqmovn_s32(vacc0x89AB), vacc0xCDEF), voutput_zero_point);
  
      int8x16_t vout0x0123456789ABCDEF = vqmovn_high_s16(vqmovn_s16(vacc0x01234567), vacc0x89ABCDEF);
  #else
      const int16x8_t vacc0x01234567 = vqaddq_s16(vcombine_s16(vqmovn_s32(vacc0x0123), vqmovn_s32(vacc0x4567)), voutput_zero_point);
      const int16x8_t vacc0x89ABCDEF = vqaddq_s16(vcombine_s16(vqmovn_s32(vacc0x89AB), vqmovn_s32(vacc0xCDEF)), voutput_zero_point);
  
      int8x16_t vout0x0123456789ABCDEF = vcombine_s8(vqmovn_s16(vacc0x01234567), vqmovn_s16(vacc0x89ABCDEF));
  #endif
      const int8x16_t voutput_min = vld1q_dup_s8(&params->neon.output_min);
      const int8x16_t voutput_max = vld1q_dup_s8(&params->neon.output_max);
  
      vout0x0123456789ABCDEF = vmaxq_s8(vout0x0123456789ABCDEF, voutput_min);
  
      vout0x0123456789ABCDEF = vminq_s8(vout0x0123456789ABCDEF, voutput_max);
  
      if (nc >= 16) {
        // Main case where there the 16 columns fit in the destination.
        vst1q_s8(c0 + 0, vout0x0123456789ABCDEF);
  
        // Advance to the next 16 columns.
        c0 = (int8_t*) ((uintptr_t) c0 + cn_stride);
  
        nc -= 16;
      } else {
        // Final case where not all of the 16 columns fit in the destination.
        int8x8_t vout0x01234567 = vget_low_s8(vout0x0123456789ABCDEF);
        if (nc & 8) {
          vst1_s8(c0, vout0x01234567); c0 += 8;
          vout0x01234567 = vget_high_s8(vout0x0123456789ABCDEF);
        }
        if (nc & 4) {
          vst1_lane_u32(__builtin_assume_aligned(c0, 1), vreinterpret_u32_s8(vout0x01234567), 0); c0 += 4;
          vout0x01234567 = vext_s8(vout0x01234567, vout0x01234567, 4);
        }
        if (nc & 2) {
          vst1_lane_u16(__builtin_assume_aligned(c0, 1), vreinterpret_u16_s8(vout0x01234567), 0); c0 += 2;
          vout0x01234567 = vext_s8(vout0x01234567, vout0x01234567, 2);
        }
        if (nc & 1) {
          vst1_lane_s8(c0, vout0x01234567, 0);
        }
  
        nc = 0;
      }
    } while (nc != 0);
  }
  