blob: 66fe6e099366b6a59afeddccb61220cc7d249331 [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"
$assert OP in ["RNDNE", "RNDZ", "RNDU", "RNDD"]
#include <assert.h>
#include <math.h>
#include <xnnpack/common.h>
#include <xnnpack/math.h>
#include <xnnpack/vunary.h>
$OP_FUNC = {
$ "RNDNE": "nearbyintf",
$ "RNDZ": "truncf",
$ "RNDU": "ceilf",
$ "RNDD": "floorf",
$}[OP]
void xnn_f32_v${OP.lower()}_ukernel__scalar_libm_x${BATCH_TILE}(
size_t n,
const float* x,
float* y,
const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)])
{
assert(n != 0);
assert(n % sizeof(float) == 0);
$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};
$for N in range(BATCH_TILE):
const float vy${ABC[N]} = ${OP_FUNC}(vx${ABC[N]});
$for N in range(BATCH_TILE):
y[${N}] = vy${ABC[N]};
y += ${BATCH_TILE};
}
if XNN_UNLIKELY(n != 0) {
$if BATCH_TILE > 2:
do {
const float vx = *x++;
const float vy = ${OP_FUNC}(vx);
*y++ = vy;
n -= sizeof(float);
} while (n != 0);
$else:
const float vx = *x;
const float vy = ${OP_FUNC}(vx);
*y = vy;
}
$else:
do {
const float vx = *x++;
const float vy = ${OP_FUNC}(vx);
*y++ = vy;
n -= sizeof(float);
} while (n != 0);
}