blob: 6dfadaaafca26baeb21c8126c6b76197607190f3 [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.
$assert BATCH_TILE >= 1
$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
#include <assert.h>
#include <xnnpack/common.h>
#include <xnnpack/vunary.h>
void xnn_f32_vlrelu_ukernel__wasm_x${BATCH_TILE}(
size_t n,
const float* x,
float* y,
const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)])
{
assert(n != 0);
assert(n % sizeof(float) == 0);
const float vslope = params->scalar.slope;
const float vzero = 0.0f;
$if BATCH_TILE > 1:
for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) {
$for N in range(BATCH_TILE):
const float vx${ABC[N]} = x[${N}];
x += ${BATCH_TILE};
$for N in range(BATCH_TILE):
const float vnegx${ABC[N]} = __builtin_wasm_min_f32(vx${ABC[N]}, vzero);
$for N in range(BATCH_TILE):
float vacc${ABC[N]} = vnegx${ABC[N]} * vslope;
const float vposx${ABC[N]} = __builtin_wasm_max_f32(vx${ABC[N]}, vzero);
$for N in range(BATCH_TILE):
vacc${ABC[N]} += vposx${ABC[N]};
$for N in range(BATCH_TILE):
y[${N}] = vacc${ABC[N]};
y += ${BATCH_TILE};
}
if XNN_UNLIKELY(n != 0) {
$if BATCH_TILE > 2:
do {
const float vx = *x++;
const float vnegx = __builtin_wasm_min_f32(vx, vzero);
float vacc = vnegx * vslope;
const float vposx = __builtin_wasm_max_f32(vx, vzero);
vacc += vposx;
*y++ = vacc;
n -= sizeof(float);
} while (n != 0);
$else:
const float vx = *x;
const float vnegx = __builtin_wasm_min_f32(vx, vzero);
float vacc = vnegx * vslope;
const float vposx = __builtin_wasm_max_f32(vx, vzero);
vacc += vposx;
*y = vacc;
}
$else:
do {
const float vx = *x++;
const float vnegx = __builtin_wasm_min_f32(vx, vzero);
float vacc = vnegx * vslope;
const float vposx = __builtin_wasm_max_f32(vx, vzero);
vacc += vposx;
*y++ = vacc;
n -= sizeof(float);
} while (n != 0);
}