xref: /aosp_15_r20/external/XNNPACK/src/qu8-requantization/gemmlowp-wasmsimd.c (revision 4bdc94577ba0e567308109d787f7fec7b531ce36)

// Copyright (c) Facebook, Inc. and its affiliates.
// All rights reserved.
//
// Copyright 2019 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 <stdint.h>
#include <stddef.h>

#include <wasm_simd128.h>

#include <xnnpack/math.h>
#include <xnnpack/requantization-stubs.h>


void xnn_qu8_requantize_gemmlowp__wasmsimd(
    size_t n,
    const int32_t* input,
    float scale,
    uint8_t zero_point,
    uint8_t qmin,
    uint8_t qmax,
    uint8_t* output)
{
  assert(n % 16 == 0);
  assert(scale < 1.0f);
  assert(scale >= 0x1.0p-32f);

  // Compute requantization parameters.
  const uint32_t scale_bits = float_as_uint32(scale);

  // Multiplier is in [0x40000000, 0x7FFFFF80] range.
  const int32_t multiplier = (int32_t) (((scale_bits & UINT32_C(0x007FFFFF)) | UINT32_C(0x00800000)) << 7);
  assert(multiplier >= INT32_C(0x40000000));
  assert(multiplier <= INT32_C(0x7FFFFF80));
  const int64_t twice_multiplier = INT64_C(2) * (int64_t) multiplier;

  // Shift is in [0, 31] range.
  const int32_t shift = 127 + 31 - 32 - (float_as_uint32(scale) >> 23);
  assert(shift >= 0);
  assert(shift < 32);

  const v128_t vmultiplier = wasm_i64x2_make(twice_multiplier, twice_multiplier);
  const v128_t vzero_point = wasm_i16x8_splat((int16_t) (uint16_t) zero_point);

  const v128_t vqmin = wasm_i8x16_splat((int8_t) qmin);
  const v128_t vqmax = wasm_i8x16_splat((int8_t) qmax);
  const uint32_t remainder_mask = (UINT32_C(1) << shift) - UINT32_C(1);
  const v128_t vremainder_mask = wasm_i32x4_splat((int32_t) remainder_mask);
  const v128_t vthreshold = wasm_i32x4_splat((int32_t) (remainder_mask >> 1));
  const v128_t vtwice_q31rounding = wasm_i64x2_splat(INT64_C(0x80000000));
  for (; n != 0; n -= 16) {
    const v128_t x = wasm_v128_load(input);
    const v128_t y = wasm_v128_load(input + 4);
    const v128_t z = wasm_v128_load(input + 8);
    const v128_t w = wasm_v128_load(input + 12);
    input += 16;

    const v128_t x_sign = wasm_i32x4_shr(x, 31);
    const v128_t y_sign = wasm_i32x4_shr(y, 31);
    const v128_t z_sign = wasm_i32x4_shr(z, 31);
    const v128_t w_sign = wasm_i32x4_shr(w, 31);

    const v128_t x_lo = wasm_v32x4_shuffle(x, x_sign, 0, 4, 1, 5);
    const v128_t y_lo = wasm_v32x4_shuffle(y, y_sign, 0, 4, 1, 5);
    const v128_t z_lo = wasm_v32x4_shuffle(z, z_sign, 0, 4, 1, 5);
    const v128_t w_lo = wasm_v32x4_shuffle(w, w_sign, 0, 4, 1, 5);

    const v128_t x_hi = wasm_v32x4_shuffle(x, x_sign, 2, 6, 3, 7);
    const v128_t y_hi = wasm_v32x4_shuffle(y, y_sign, 2, 6, 3, 7);
    const v128_t z_hi = wasm_v32x4_shuffle(z, z_sign, 2, 6, 3, 7);
    const v128_t w_hi = wasm_v32x4_shuffle(w, w_sign, 2, 6, 3, 7);

    const v128_t x_product_lo = wasm_i64x2_add(wasm_i64x2_mul(x_lo, vmultiplier), vtwice_q31rounding);
    const v128_t y_product_lo = wasm_i64x2_add(wasm_i64x2_mul(y_lo, vmultiplier), vtwice_q31rounding);
    const v128_t z_product_lo = wasm_i64x2_add(wasm_i64x2_mul(z_lo, vmultiplier), vtwice_q31rounding);
    const v128_t w_product_lo = wasm_i64x2_add(wasm_i64x2_mul(w_lo, vmultiplier), vtwice_q31rounding);

    const v128_t x_product_hi = wasm_i64x2_add(wasm_i64x2_mul(x_hi, vmultiplier), vtwice_q31rounding);
    const v128_t y_product_hi = wasm_i64x2_add(wasm_i64x2_mul(y_hi, vmultiplier), vtwice_q31rounding);
    const v128_t z_product_hi = wasm_i64x2_add(wasm_i64x2_mul(z_hi, vmultiplier), vtwice_q31rounding);
    const v128_t w_product_hi = wasm_i64x2_add(wasm_i64x2_mul(w_hi, vmultiplier), vtwice_q31rounding);

    const v128_t x_q31product = wasm_v32x4_shuffle(x_product_lo, x_product_hi, 1, 3, 5, 7);
    const v128_t y_q31product = wasm_v32x4_shuffle(y_product_lo, y_product_hi, 1, 3, 5, 7);
    const v128_t z_q31product = wasm_v32x4_shuffle(z_product_lo, z_product_hi, 1, 3, 5, 7);
    const v128_t w_q31product = wasm_v32x4_shuffle(w_product_lo, w_product_hi, 1, 3, 5, 7);

    const v128_t x_remainder =
        wasm_i32x4_add(wasm_v128_and(x_q31product, vremainder_mask), wasm_i32x4_shr(x_q31product, 31));
    const v128_t y_remainder =
        wasm_i32x4_add(wasm_v128_and(y_q31product, vremainder_mask), wasm_i32x4_shr(y_q31product, 31));
    const v128_t z_remainder =
        wasm_i32x4_add(wasm_v128_and(z_q31product, vremainder_mask), wasm_i32x4_shr(z_q31product, 31));
    const v128_t w_remainder =
        wasm_i32x4_add(wasm_v128_and(w_q31product, vremainder_mask), wasm_i32x4_shr(w_q31product, 31));

    const v128_t x_scaled =
        wasm_i32x4_sub(wasm_i32x4_shr(x_q31product, shift), wasm_i32x4_gt(x_remainder, vthreshold));
    const v128_t y_scaled =
        wasm_i32x4_sub(wasm_i32x4_shr(y_q31product, shift), wasm_i32x4_gt(y_remainder, vthreshold));
    const v128_t z_scaled =
        wasm_i32x4_sub(wasm_i32x4_shr(z_q31product, shift), wasm_i32x4_gt(z_remainder, vthreshold));
    const v128_t w_scaled =
        wasm_i32x4_sub(wasm_i32x4_shr(w_q31product, shift), wasm_i32x4_gt(w_remainder, vthreshold));

    const v128_t xy_packed = wasm_i16x8_add_sat(wasm_i16x8_narrow_i32x4(x_scaled, y_scaled), vzero_point);
    const v128_t zw_packed = wasm_i16x8_add_sat(wasm_i16x8_narrow_i32x4(z_scaled, w_scaled), vzero_point);
    const v128_t xyzw_packed = wasm_u8x16_narrow_i16x8(xy_packed, zw_packed);
    const v128_t xyzw_clamped = wasm_u8x16_min(wasm_u8x16_max(xyzw_packed, vqmin), vqmax);

    // 12x v128.shuffle
    // 8x i32x4.lt
    // 8x i64x2.add
    // 8x i64x2.mul
    // 4x v128.and
    // 4x i32x4.add
    // 4x i32x4.sub
    // 4x i32x4.gt
    // 4x i32x4.shr_s
    // 2x i16x8.narrow_i32x4_s
    // 2x i16x8.add_saturate_s
    // 1x i8x16.narrow_i16x8_u
    // 1x i8x16.max_u
    // 1x i8x16.min_u
    // ---------------------
    // 63 instructions total

    wasm_v128_store(output, xyzw_clamped);
    output += 16;
  }
}