blob: 2daa5f172d6e75a50d29883e1cafa85a06e75b0d [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 % 4 == 0
$assert BATCH_TILE >= 4
$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
#include <assert.h>
#include <math.h>
#include <arm_neon.h>
#include <xnnpack/common.h>
#include <xnnpack/vunary.h>
void xnn_f32_vsqrt_ukernel__neonfma_nr1rsqrts1fma1adj_x${BATCH_TILE}(
size_t n,
const float* x,
float* y,
const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN
{
assert(n != 0);
assert(n % sizeof(float) == 0);
$if BATCH_TILE > 4:
const float32x4_t vhalf = vmovq_n_f32(0.5f);
for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) {
$for N in range(0, BATCH_TILE, 4):
const float32x4_t vx${ABC[N:N+4]} = vld1q_f32(x); x += 4;
$for N in range(0, BATCH_TILE, 4):
float32x4_t vrsqrtx${ABC[N:N+4]} = vrsqrteq_f32(vx${ABC[N:N+4]});
$for N in range(0, BATCH_TILE, 4):
const float32x4_t vrx${ABC[N:N+4]} = vmulq_f32(vrsqrtx${ABC[N:N+4]}, vrsqrtx${ABC[N:N+4]});
$for N in range(0, BATCH_TILE, 4):
const float32x4_t vcorrection${ABC[N:N+4]} = vrsqrtsq_f32(vx${ABC[N:N+4]}, vrx${ABC[N:N+4]});
$for N in range(0, BATCH_TILE, 4):
vrsqrtx${ABC[N:N+4]} = vmulq_f32(vrsqrtx${ABC[N:N+4]}, vcorrection${ABC[N:N+4]});
$for N in range(0, BATCH_TILE, 4):
float32x4_t vsqrtx${ABC[N:N+4]} = vmulq_f32(vrsqrtx${ABC[N:N+4]}, vx${ABC[N:N+4]});
float32x4_t vhalfrsqrtx${ABC[N:N+4]} = vmulq_f32(vrsqrtx${ABC[N:N+4]}, vhalf);
$for N in range(0, BATCH_TILE, 4):
const float32x4_t vresidual${ABC[N:N+4]} = vfmsq_f32(vhalf, vsqrtx${ABC[N:N+4]}, vhalfrsqrtx${ABC[N:N+4]});
$for N in range(0, BATCH_TILE, 4):
vhalfrsqrtx${ABC[N:N+4]} = vfmaq_f32(vhalfrsqrtx${ABC[N:N+4]}, vresidual${ABC[N:N+4]}, vhalfrsqrtx${ABC[N:N+4]});
vsqrtx${ABC[N:N+4]} = vfmaq_f32(vsqrtx${ABC[N:N+4]}, vresidual${ABC[N:N+4]}, vsqrtx${ABC[N:N+4]});
$for N in range(0, BATCH_TILE, 4):
const float32x4_t vadjustment${ABC[N:N+4]} = vfmsq_f32(vx${ABC[N:N+4]}, vsqrtx${ABC[N:N+4]}, vsqrtx${ABC[N:N+4]});
$for N in range(0, BATCH_TILE, 4):
const float32x4_t vy${ABC[N:N+4]} = vfmaq_f32(vsqrtx${ABC[N:N+4]}, vhalfrsqrtx${ABC[N:N+4]}, vadjustment${ABC[N:N+4]});
$for N in range(0, BATCH_TILE, 4):
vst1q_f32(y, vy${ABC[N:N+4]}); y += 4;
}
if XNN_UNLIKELY(n != 0) {
do {
const float vx = *x++;
const float vy = sqrtf(vx);
*y++ = vy;
n -= sizeof(float);
} while (n != 0);
}
}