src/f32-dwconv2d-chw/5x5s2p2-sse.c.in

// 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.

$assert ROW_TILE >= 1
$assert ACCUMULATORS >= 1
#include <assert.h>

#include <xmmintrin.h>

#include <xnnpack/dwconv.h>
#include <xnnpack/math.h>


void xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_${ROW_TILE}x4${"_acc%d" % ACCUMULATORS if ACCUMULATORS > 1 else ""}(
    size_t input_height,
    size_t input_width,
    const float* input,
    const float* weights,
    const float* zero,
    float* output,
    uint32_t padding_top,
    const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
{
  assert(input_height != 0);
  assert(input_width != 0);
  assert(input_width % sizeof(float) == 0);
  assert(padding_top >= 1);
  assert(padding_top <= 2);

  const __m128 vmask_even = _mm_load_ps((const float*) params->sse_stride2.mask_even);
  const __m128 vmask_odd  = _mm_load_ps((const float*) params->sse_stride2.mask_odd);
  const __m128 vmax = _mm_load_ps(params->sse_stride2.max);
  const __m128 vmin = _mm_load_ps(params->sse_stride2.min);

  const __m128 vbias = _mm_load1_ps(weights);
  $for R in range(5):
    $for S in range(5):
      const __m128 vk${R}${S} = _mm_load1_ps(weights + ${R*5+S+1});

  const uint32_t padding_top_less_1 = padding_top - 1;
  const size_t input_decrement = round_up_po2(input_width, 8 * sizeof(float));

  const float* i0 = zero;
  const float* i1 = (const float*) ((uintptr_t) input - ((-padding_top_less_1) & input_width));
  const float* i2 = (const float*) ((uintptr_t) i1 + input_width);
  if XNN_UNPREDICTABLE(padding_top_less_1 != 0) {
    i1 = zero;
  }
  $for M in range(3, 3 + 2 * ROW_TILE):
    const float* i${M} = (const float*) ((uintptr_t) i${M-1} + input_width);

  $if ROW_TILE > 1:
    const size_t output_width = round_down_po2((input_width + (2 /* padding */ - 3 /* kernel size */ + 2 /* subsampling */) * sizeof(float)) / 2, sizeof(float));

  float* o0 = output;
  $for M in range(1, ROW_TILE):
    float* o${M} = (float*) ((uintptr_t) o${M-1} + output_width);

  size_t padded_input_height = input_height + (padding_top_less_1 + 1) + 2 /* padding bottom */;
  size_t output_height = (padded_input_height - 5 /* kernel size */ + 2 /* subsampling */) / 2;
  do {
    $for M in range(3, 3 + 2 * ROW_TILE):
      if XNN_UNPREDICTABLE(padded_input_height < ${3 + M}) {
        i${M} = zero;
        $if M % 2 == 0 and M <= 2 * ROW_TILE + 1:
          o${M // 2 - 1} = o${M // 2 - 2};
      }

    $for M in range(3 + 2 * ROW_TILE):
      __m128 vi${M}x6024 = _mm_setzero_ps();

    $for M in range(3 + 2 * ROW_TILE):
      __m128 vi${M}x7135 = _mm_setzero_ps();

    $for M in range(3 + 2 * ROW_TILE):
      const __m128 vi${M}x89AB = _mm_loadu_ps(i${M});
      const __m128 vi${M}xCDEF = _mm_loadu_ps(i${M} + 4);
      i${M} += 8;

    $for M in range(3 + 2 * ROW_TILE):
      __m128 vi${M}x8ACE = _mm_shuffle_ps(vi${M}x89AB, vi${M}xCDEF, _MM_SHUFFLE(2, 0, 2, 0));
      __m128 vi${M}x9BDF = _mm_shuffle_ps(vi${M}x89AB, vi${M}xCDEF, _MM_SHUFFLE(3, 1, 3, 1));

    size_t w = input_width;
    for (; w > 8 * sizeof(float); w -= 8 * sizeof(float)) {
      $for K in range(5):
        $for M in range(ROW_TILE):
          $if K == 0:
            __m128 vo${M}p0 = _mm_add_ps(vbias, _mm_mul_ps(vi${2*M+K}x8ACE, vk${K}2));
          $elif K < ACCUMULATORS:
            __m128 vo${M}p${K} = _mm_mul_ps(vi${2*M+K}x8ACE, vk${K}2);
          $else:
            vo${M}p${K % ACCUMULATORS} = _mm_add_ps(vo${M}p${K % ACCUMULATORS}, _mm_mul_ps(vi${2*M+K}x8ACE, vk${K}2));

      $for M in range(3 + 2 * ROW_TILE):
        const __m128 vi${M}xE8AC = _mm_shuffle_ps(vi${M}x8ACE, vi${M}x8ACE, _MM_SHUFFLE(2, 1, 0, 3));

      $for K in range(5):
        $for M in range(ROW_TILE):
          vo${M}p${(K+5) % ACCUMULATORS} = _mm_add_ps(vo${M}p${(K+5) % ACCUMULATORS}, _mm_mul_ps(vi${2*M+K}x9BDF, vk${K}3));

      $for M in range(3 + 2 * ROW_TILE):
        const __m128 vi${M}x68AC = _mm_move_ss(vi${M}xE8AC, vi${M}x6024);
        vi${M}x6024 = vi${M}xE8AC;

      $for M in range(3 + 2 * ROW_TILE):
        const __m128 vi${M}xF9BD = _mm_shuffle_ps(vi${M}x9BDF, vi${M}x9BDF, _MM_SHUFFLE(2, 1, 0, 3));

      $for K in range(5):
        $for M in range(ROW_TILE):
          vo${M}p${(K+10) % ACCUMULATORS} = _mm_add_ps(vo${M}p${(K+10) % ACCUMULATORS}, _mm_mul_ps(vi${2*M+K}x68AC, vk${K}0));

      $for M in range(3 + 2 * ROW_TILE):
        const __m128 vi${M}xGHIJ = _mm_loadu_ps(i${M});
        const __m128 vi${M}xKLMN = _mm_loadu_ps(i${M} + 4);
        i${M} += 8;

      $for M in range(3 + 2 * ROW_TILE):
        const __m128 vi${M}x79BD = _mm_move_ss(vi${M}xF9BD, vi${M}x7135);
        vi${M}x7135 = vi${M}xF9BD;

      $for M in range(3 + 2 * ROW_TILE):
        const __m128 vi${M}xGIKM = _mm_shuffle_ps(vi${M}xGHIJ, vi${M}xKLMN, _MM_SHUFFLE(2, 0, 2, 0));
        const __m128 vi${M}xHJLN = _mm_shuffle_ps(vi${M}xGHIJ, vi${M}xKLMN, _MM_SHUFFLE(3, 1, 3, 1));
        vi${M}x9BDF = vi${M}xHJLN;

      $for K in range(5):
        $for M in range(ROW_TILE):
          vo${M}p${(K+15) % ACCUMULATORS} = _mm_add_ps(vo${M}p${(K+15) % ACCUMULATORS}, _mm_mul_ps(vi${2*M+K}x79BD, vk${K}1));

      $for M in range(3 + 2 * ROW_TILE):
        const __m128 vi${M}xGACE = _mm_move_ss(vi${M}x8ACE, vi${M}xGIKM);
        vi${M}x8ACE = vi${M}xGIKM;

      $for M in range(3 + 2 * ROW_TILE):
        const __m128 vi${M}xACEG = _mm_shuffle_ps(vi${M}xGACE, vi${M}xGACE, _MM_SHUFFLE(0, 3, 2, 1));

      $for K in range(5):
        $for M in range(ROW_TILE):
          vo${M}p${(K+20) % ACCUMULATORS} = _mm_add_ps(vo${M}p${(K+20) % ACCUMULATORS}, _mm_mul_ps(vi${2*M+K}xACEG, vk${K}4));

      $if ACCUMULATORS > 1:
        $ACC_SLICE = 1
        $while ACC_SLICE < ACCUMULATORS:
          $for A in range(0, ACCUMULATORS, ACC_SLICE * 2):
            $if A + ACC_SLICE < ACCUMULATORS:
              $for M in range(ROW_TILE):
                vo${M}p${A} = _mm_add_ps(vo${M}p${A}, vo${M}p${A + ACC_SLICE});
          $ACC_SLICE *= 2

      $for M in range(ROW_TILE):
        __m128 vo${M} = _mm_max_ps(vo${M}p0, vmin);

      $for M in range(ROW_TILE):
        vo${M} = _mm_min_ps(vo${M}, vmax);

      $for M in reversed(range(ROW_TILE)):
        _mm_storeu_ps(o${M}, vo${M});
        o${M} += 4;
    }
    // Last block has 1-8 pixels to process.
    assert(w <= 8 * sizeof(float));
    assert(w >= 1 * sizeof(float));
    {
      $for M in range(3 + 2 * ROW_TILE):
        vi${M}x8ACE = _mm_and_ps(vi${M}x8ACE, vmask_even);
        vi${M}x9BDF = _mm_and_ps(vi${M}x9BDF, vmask_odd);

      $for K in range(5):
        $for M in range(ROW_TILE):
          $if K == 0:
            __m128 vo${M}p0 = _mm_add_ps(vbias, _mm_mul_ps(vi${2*M+K}x8ACE, vk${K}2));
          $elif K < ACCUMULATORS:
            __m128 vo${M}p${K} = _mm_mul_ps(vi${2*M+K}x8ACE, vk${K}2);
          $else:
            vo${M}p${K % ACCUMULATORS} = _mm_add_ps(vo${M}p${K % ACCUMULATORS}, _mm_mul_ps(vi${2*M+K}x8ACE, vk${K}2));

      $for M in range(3 + 2 * ROW_TILE):
        const __m128 vi${M}xE8AC = _mm_shuffle_ps(vi${M}x8ACE, vi${M}x8ACE, _MM_SHUFFLE(2, 1, 0, 3));

      $for K in range(5):
        $for M in range(ROW_TILE):
          vo${M}p${(K+5) % ACCUMULATORS} = _mm_add_ps(vo${M}p${(K+5) % ACCUMULATORS}, _mm_mul_ps(vi${2*M+K}x9BDF, vk${K}3));

      $for M in range(3 + 2 * ROW_TILE):
        const __m128 vi${M}x68AC = _mm_move_ss(vi${M}xE8AC, vi${M}x6024);

      $for M in range(3 + 2 * ROW_TILE):
        const __m128 vi${M}xF9BD = _mm_shuffle_ps(vi${M}x9BDF, vi${M}x9BDF, _MM_SHUFFLE(2, 1, 0, 3));

      $for K in range(5):
        $for M in range(ROW_TILE):
          vo${M}p${(K+10) % ACCUMULATORS} = _mm_add_ps(vo${M}p${(K+10) % ACCUMULATORS}, _mm_mul_ps(vi${2*M+K}x68AC, vk${K}0));

      $for M in range(3 + 2 * ROW_TILE):
        const __m128 vi${M}x79BD = _mm_move_ss(vi${M}xF9BD, vi${M}x7135);

      $for K in range(5):
        $for M in range(ROW_TILE):
          vo${M}p${(K+15) % ACCUMULATORS} = _mm_add_ps(vo${M}p${(K+15) % ACCUMULATORS}, _mm_mul_ps(vi${2*M+K}x79BD, vk${K}1));

      const __m128 vzero = _mm_setzero_ps();
      $for M in range(3 + 2 * ROW_TILE):
        const __m128 vi${M}xGACE = _mm_move_ss(vi${M}x8ACE, vzero);

      $for M in range(3 + 2 * ROW_TILE):
        const __m128 vi${M}xACEG = _mm_shuffle_ps(vi${M}xGACE, vi${M}xGACE, _MM_SHUFFLE(0, 3, 2, 1));

      $for K in range(5):
        $for M in range(ROW_TILE):
          vo${M}p${(K+20) % ACCUMULATORS} = _mm_add_ps(vo${M}p${(K+20) % ACCUMULATORS}, _mm_mul_ps(vi${2*M+K}xACEG, vk${K}4));

      $if ACCUMULATORS > 1:
        $ACC_SLICE = 1
        $while ACC_SLICE < ACCUMULATORS:
          $for A in range(0, ACCUMULATORS, ACC_SLICE * 2):
            $if A + ACC_SLICE < ACCUMULATORS:
              $for M in range(ROW_TILE):
                vo${M}p${A} = _mm_add_ps(vo${M}p${A}, vo${M}p${A + ACC_SLICE});
          $ACC_SLICE *= 2

      $for M in range(ROW_TILE):
        __m128 vo${M} = _mm_max_ps(vo${M}p0, vmin);

      $for M in range(ROW_TILE):
        vo${M} = _mm_min_ps(vo${M}, vmax);

      size_t w_tmp = (w + 1 * sizeof(float)) / (2 * sizeof(float));
      if XNN_LIKELY(w_tmp >= 4) {
        $for M in reversed(range(ROW_TILE)):
          _mm_storeu_ps(o${M}, vo${M});
          o${M} += 4;
      } else {
        if (w_tmp & 2) {
          $for M in reversed(range(ROW_TILE)):
            _mm_storel_pi((__m64*) o${M}, vo${M});
            o${M} += 2;

          $for M in range(ROW_TILE):
            vo${M} = _mm_movehl_ps(vo${M}, vo${M});
        }
        if (w_tmp & 1) {
          $for M in reversed(range(ROW_TILE)):
            _mm_store_ss(o${M}, vo${M});
            o${M} += 1;
        }
      }
    }

    i0 = (const float*) ((uintptr_t) i${2 * ROW_TILE} - input_decrement);
    i1 = (const float*) ((uintptr_t) i${2 * ROW_TILE + 1} - input_decrement);
    i2 = (const float*) ((uintptr_t) i${2 * ROW_TILE + 2} - input_decrement);
    $for M in range(3, 3 + 2 * ROW_TILE):
      i${M} = (const float*) ((uintptr_t) i${M-1} + input_width);

    $if ROW_TILE > 1:
      o0 = o${ROW_TILE - 1};
      $for M in range(1, ROW_TILE):
        o${M} = (float*) ((uintptr_t) o${M-1} + output_width);

    $if ROW_TILE > 1:
      output_height = doz(output_height, ${ROW_TILE});
      padded_input_height = doz(padded_input_height, ${ROW_TILE * 2});
    $else:
      output_height -= 1;
      padded_input_height -= 2;
  } while (output_height != 0);
}