// Auto-generated file. Do not edit!
//   Template: src/f32-prelu/wasmsimd-laneselect.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 <wasm_simd128.h>

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


void xnn_f32_prelu_ukernel__wasmsimd_laneselect_1x8(
    size_t rows,
    size_t channels,
    const float* restrict input,
    size_t input_stride,
    const float* restrict weights,
    float* restrict output,
    size_t output_stride) XNN_OOB_READS
{
  assert(rows != 0);
  assert(channels != 0);
  assert(channels % sizeof(float) == 0);

  const float* i0 = input;
  float* o0 = output;

  const size_t input_increment = input_stride * 1 - channels;
  const size_t output_increment = output_stride * 1 - channels;

  do {

    const float* w = weights;
    size_t c = channels;
    for (; c >= 8 * sizeof(float); c -= 8 * sizeof(float)) {
      const v128_t vw0123 = wasm_v128_load(w);
      const v128_t vw4567 = wasm_v128_load(w + 4);
      w += 8;

      const v128_t vi0x0123 = wasm_v128_load(i0);
      const v128_t vi0x4567 = wasm_v128_load(i0 + 4);
      i0 += 8;

      v128_t vacc0x0123 = wasm_f32x4_mul(vi0x0123, vw0123);
      const v128_t vmask0x0123 = wasm_i32x4_shr(vi0x0123, 31);
      v128_t vacc0x4567 = wasm_f32x4_mul(vi0x4567, vw4567);
      const v128_t vmask0x4567 = wasm_i32x4_shr(vi0x4567, 31);

      vacc0x0123 = wasm_v128_bitselect(vacc0x0123, vi0x0123, vmask0x0123);
      vacc0x4567 = wasm_v128_bitselect(vacc0x4567, vi0x4567, vmask0x4567);

      wasm_v128_store(o0, vacc0x0123);
      wasm_v128_store(o0 + 4, vacc0x4567);
      o0 += 8;
    }
    for (; c >= 4 * sizeof(float); c -= 4 * sizeof(float)) {
      const v128_t vw0123 = wasm_v128_load(w);
      w += 4;

      const v128_t vi0x0123 = wasm_v128_load(i0);
      i0 += 4;

      v128_t vacc0x0123 = wasm_f32x4_mul(vi0x0123, vw0123);
      const v128_t vmask0x0123 = wasm_i32x4_shr(vi0x0123, 31);

      vacc0x0123 = wasm_v128_bitselect(vacc0x0123, vi0x0123, vmask0x0123);

      wasm_v128_store(o0, vacc0x0123);
      o0 += 4;
    }
    if XNN_UNLIKELY(c != 0) {
      const v128_t vw0123 = wasm_v128_load(w);
      w = (const float*) ((uintptr_t) w + c);

      const v128_t vi0x0123 = wasm_v128_load(i0);
      i0 = (const float*) ((uintptr_t) i0 + c);

      v128_t vacc0x0123 = wasm_f32x4_mul(vi0x0123, vw0123);
      const v128_t vmask0x0123 = wasm_i32x4_shr(vi0x0123, 31);

      vacc0x0123 = wasm_v128_bitselect(vacc0x0123, vi0x0123, vmask0x0123);

      if (c & (2 * sizeof(float))) {
        wasm_v128_store64_lane(o0, vacc0x0123, 0);

        vacc0x0123 = wasm_v64x2_shuffle(vacc0x0123, vacc0x0123, 1, 1);

        o0 += 2;
      }
      if (c & (1 * sizeof(float))) {
        wasm_v128_store32_lane(o0, vacc0x0123, 0);

        o0 += 1;
      }
    }
    i0 = (const float*) ((uintptr_t) i0 + input_increment);
    o0 = (float*) ((uintptr_t) o0 + output_increment);
    rows = doz(rows, 1);
  } while (rows != 0);
}
