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// 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>
#include <xnnpack/math.h>
void xnn_f32_gavgpool_cw_ukernel__wasmsimd_arm_x4(
size_t elements,
size_t channels,
const float* input,
float* output,
const union xnn_f32_gavgpool_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
{
assert(elements != 0);
assert(elements % sizeof(float) == 0);
assert(channels != 0);
const float* i0 = input;
const float* i1 = (const float*) ((uintptr_t) i0 + elements);
const float* i2 = (const float*) ((uintptr_t) i1 + elements);
const float* i3 = (const float*) ((uintptr_t) i2 + elements);
const v128_t vmask = wasm_v128_load(params->scalar.mask);
const v128_t vmultiplier = wasm_v128_load32_splat(¶ms->scalar.multiplier);
const v128_t vmin = wasm_v128_load32_splat(¶ms->scalar.output_min);
const v128_t vmax = wasm_v128_load32_splat(¶ms->scalar.output_max);
while (channels >= 4) {
v128_t vsum0 = wasm_f32x4_const_splat(0.0f);
v128_t vsum1 = vsum0;
v128_t vsum2 = vsum0;
v128_t vsum3 = vsum0;
size_t n = elements;
while (n >= 4 * sizeof(float)) {
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;
vsum0 = wasm_f32x4_add(vsum0, vi0);
vsum1 = wasm_f32x4_add(vsum1, vi1);
vsum2 = wasm_f32x4_add(vsum2, vi2);
vsum3 = wasm_f32x4_add(vsum3, vi3);
n -= 4 * sizeof(float);
}
if XNN_UNLIKELY(n != 0) {
const v128_t vi0 = wasm_v128_and(wasm_v128_load(i0), vmask);
i0 = (const float*) ((uintptr_t) i0 + n);
const v128_t vi1 = wasm_v128_and(wasm_v128_load(i1), vmask);
i1 = (const float*) ((uintptr_t) i1 + n);
const v128_t vi2 = wasm_v128_and(wasm_v128_load(i2), vmask);
i2 = (const float*) ((uintptr_t) i2 + n);
const v128_t vi3 = wasm_v128_and(wasm_v128_load(i3), vmask);
i3 = (const float*) ((uintptr_t) i3 + n);
vsum0 = wasm_f32x4_add(vsum0, vi0);
vsum1 = wasm_f32x4_add(vsum1, vi1);
vsum2 = wasm_f32x4_add(vsum2, vi2);
vsum3 = wasm_f32x4_add(vsum3, vi3);
}
// Having exactly 4 rows makes this work out nicely as we end up with
// the 4 totals in 4 different lanes of the same vector.
const v128_t vsum01 = wasm_f32x4_add(wasm_v32x4_shuffle(vsum0, vsum1, 0, 2, 4, 6), wasm_v32x4_shuffle(vsum0, vsum1, 1, 3, 5, 7));
const v128_t vsum23 = wasm_f32x4_add(wasm_v32x4_shuffle(vsum2, vsum3, 0, 2, 4, 6), wasm_v32x4_shuffle(vsum2, vsum3, 1, 3, 5, 7));
const v128_t vsum = wasm_f32x4_add(wasm_v32x4_shuffle(vsum01, vsum23, 0, 2, 4, 6), wasm_v32x4_shuffle(vsum01, vsum23, 1, 3, 5, 7));
v128_t vout = wasm_f32x4_mul(vsum, vmultiplier);
vout = wasm_f32x4_max(vout, vmin);
vout = wasm_f32x4_min(vout, vmax);
wasm_v128_store(output, vout);
output += 4;
i0 = i3;
i1 = (const float*) ((uintptr_t) i0 + elements);
i2 = (const float*) ((uintptr_t) i1 + elements);
i3 = (const float*) ((uintptr_t) i2 + elements);
channels -= 4;
}
while (channels != 0) {
v128_t vsum = wasm_f32x4_const_splat(0.0f);
size_t n = elements;
while (n >= 4 * sizeof(float)) {
const v128_t vi0 = wasm_v128_load(i0);
i0 += 4;
vsum = wasm_f32x4_add(vsum, vi0);
n -= 4 * sizeof(float);
}
if XNN_UNLIKELY(n != 0) {
v128_t vi0 = wasm_v128_and(vmask, wasm_v128_load(i0));
i0 = (const float*) ((uintptr_t) i0 + n);
vsum = wasm_f32x4_add(vsum, vi0);
}
vsum = wasm_f32x4_add(wasm_v32x4_shuffle(vsum, vsum, 0, 2, 4, 6), wasm_v32x4_shuffle(vsum, vsum, 1, 3, 5, 7));
vsum = wasm_f32x4_add(wasm_v32x4_shuffle(vsum, vsum, 0, 2, 4, 6), wasm_v32x4_shuffle(vsum, vsum, 1, 3, 5, 7));
v128_t vout = wasm_f32x4_mul(vsum, vmultiplier);
vout = wasm_f32x4_max(vout, vmin);
vout = wasm_f32x4_min(vout, vmax);
*output++ = wasm_f32x4_extract_lane(vout, 0);
channels -= 1;
}
}
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