xref: /aosp_15_r20/external/XNNPACK/src/f16-vclamp/f16c.c.in (revision 4bdc94577ba0e567308109d787f7fec7b531ce36)

// Copyright 2022 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 BATCH_TILE % 8 == 0
$assert BATCH_TILE >= 8
$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
#include <assert.h>

#include <immintrin.h>

#include <xnnpack/common.h>
#include <xnnpack/intrinsics-polyfill.h>
#include <xnnpack/vunary.h>


void xnn_f16_vclamp_ukernel__f16c_x${BATCH_TILE}(
    size_t n,
    const void* restrict x_ptr,
    void* restrict y_ptr,
    const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
{
  assert(n != 0);
  assert(n % sizeof(uint16_t) == 0);
  assert(x_ptr != NULL);
  assert(y_ptr != NULL);

  const uint16_t* x = (const uint16_t*) x_ptr;
  uint16_t* y = (uint16_t*) y_ptr;

  const __m256 vy_min = _mm256_load_ps(params->avx.min);
  const __m256 vy_max = _mm256_load_ps(params->avx.max);

  $if BATCH_TILE > 8:
    for (; n >= ${BATCH_TILE} * sizeof(uint16_t); n -= ${BATCH_TILE} * sizeof(uint16_t)) {
      __m256 vacc${ABC[0:8]} = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) x));
      $for N in range(8, BATCH_TILE, 8):
        __m256 vacc${ABC[N:N+8]} = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) (x + ${N})));
      x += ${BATCH_TILE};

      $for N in range(0, BATCH_TILE, 8):
        vacc${ABC[N:N+8]} = _mm256_max_ps(vacc${ABC[N:N+8]}, vy_min);

      $for N in range(0, BATCH_TILE, 8):
        vacc${ABC[N:N+8]} = _mm256_min_ps(vacc${ABC[N:N+8]}, vy_max);

      _mm_storeu_si128((__m128i*) y, _mm256_cvtps_ph(vacc${ABC[0:8]}, _MM_FROUND_NO_EXC));
      $for N in range(8, BATCH_TILE, 8):
        _mm_storeu_si128((__m128i*) (y + ${N}), _mm256_cvtps_ph(vacc${ABC[N:N+8]}, _MM_FROUND_NO_EXC));
      y += ${BATCH_TILE};
    }
  for (; n >= 8 * sizeof(uint16_t); n -= 8 * sizeof(uint16_t)) {
    __m256 vacc = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) x));
    x += 8;
    vacc = _mm256_max_ps(vacc, vy_min);
    vacc = _mm256_min_ps(vacc, vy_max);
    _mm_storeu_si128((__m128i*) y, _mm256_cvtps_ph(vacc, _MM_FROUND_NO_EXC));
    y += 8;
  }
  if XNN_UNLIKELY(n != 0) {
    __m256 vacc = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) x));
    vacc = _mm256_max_ps(vacc, vy_min);
    vacc = _mm256_min_ps(vacc, vy_max);

    __m128i vh = _mm256_cvtps_ph(vacc, _MM_FROUND_NO_EXC);
    if (n & (4 * sizeof(uint16_t))) {
      _mm_storel_epi64((__m128i*) y, vh);
      vh = _mm_unpackhi_epi64(vh, vh);
      y += 4;
    }
    if (n & (2 * sizeof(uint16_t))) {
      _mm_storeu_si32(y, vh);
      vh = _mm_srli_epi64(vh, 32);
      y += 2;
    }
    if (n & (1 * sizeof(uint16_t))) {
      *y = _mm_extract_epi16(vh, 0);
    }
  }
}