blob: 3260f6f1d933519a4d6bb3153548bcb53cc6aa54 [file] [log] [blame]
// 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/gavgpool.h>
void xnn_f32_gavgpool_minmax_ukernel_7x__wasmsimd_arm_c4(
size_t rows,
size_t channels,
const float* input,
size_t input_stride,
const float* zero,
float* output,
const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
{
assert(rows != 0);
assert(rows <= 7);
assert(channels != 0);
const float* i0 = input;
const float* i1 = (const float*) ((uintptr_t) i0 + input_stride);
if (rows < 2) {
i1 = zero;
}
const float* i2 = (const float*) ((uintptr_t) i1 + input_stride);
if (rows <= 2) {
i2 = zero;
}
const float* i3 = (const float*) ((uintptr_t) i2 + input_stride);
if (rows < 4) {
i3 = zero;
}
const float* i4 = (const float*) ((uintptr_t) i3 + input_stride);
if (rows <= 4) {
i4 = zero;
}
const float* i5 = (const float*) ((uintptr_t) i4 + input_stride);
if (rows < 6) {
i5 = zero;
}
const float* i6 = (const float*) ((uintptr_t) i5 + input_stride);
if (rows <= 6) {
i6 = zero;
}
const v128_t vscale = wasm_v128_load32_splat(&params->scalar.scale);
const v128_t vmin = wasm_v128_load32_splat(&params->scalar.min);
const v128_t vmax = wasm_v128_load32_splat(&params->scalar.max);
while (channels >= 4) {
const v128_t vi0 = wasm_v128_load(i0);
i0 += 4;
const v128_t vi1 = wasm_v128_load(i1);
i1 += 4;
const v128_t vi2 = wasm_v128_load(i2);
i2 += 4;
const v128_t vi3 = wasm_v128_load(i3);
i3 += 4;
const v128_t vi4 = wasm_v128_load(i4);
i4 += 4;
const v128_t vi5 = wasm_v128_load(i5);
i5 += 4;
const v128_t vi6 = wasm_v128_load(i6);
i6 += 4;
const v128_t vsum01 = wasm_f32x4_add(vi0, vi1);
const v128_t vsum23 = wasm_f32x4_add(vi2, vi3);
const v128_t vsum45 = wasm_f32x4_add(vi4, vi5);
const v128_t vsum016 = wasm_f32x4_add(vsum01, vi6);
const v128_t vsum2345 = wasm_f32x4_add(vsum23, vsum45);
const v128_t vsum = wasm_f32x4_add(vsum016, vsum2345);
v128_t vout = wasm_f32x4_mul(vsum, vscale);
vout = wasm_f32x4_max(vout, vmin);
vout = wasm_f32x4_min(vout, vmax);
wasm_v128_store(output, vout);
output += 4;
channels -= 4;
}
if (channels != 0) {
const v128_t vi0 = wasm_v128_load(i0);
const v128_t vi1 = wasm_v128_load(i1);
const v128_t vi2 = wasm_v128_load(i2);
const v128_t vi3 = wasm_v128_load(i3);
const v128_t vi4 = wasm_v128_load(i4);
const v128_t vi5 = wasm_v128_load(i5);
const v128_t vi6 = wasm_v128_load(i6);
const v128_t vsum01 = wasm_f32x4_add(vi0, vi1);
const v128_t vsum23 = wasm_f32x4_add(vi2, vi3);
const v128_t vsum45 = wasm_f32x4_add(vi4, vi5);
const v128_t vsum016 = wasm_f32x4_add(vsum01, vi6);
const v128_t vsum2345 = wasm_f32x4_add(vsum23, vsum45);
const v128_t vsum = wasm_f32x4_add(vsum016, vsum2345);
v128_t vout = wasm_f32x4_mul(vsum, vscale);
vout = wasm_f32x4_max(vout, vmin);
vout = wasm_f32x4_min(vout, vmax);
if (channels & 2) {
*((double*) output) = wasm_f64x2_extract_lane(vout, 0);
output += 2;
vout = wasm_v32x4_shuffle(vout, vout, 2, 3, 2, 3);
}
if (channels & 1) {
*output++ = wasm_f32x4_extract_lane(vout, 0);
}
}
}