blob: af94fc318a6f17ae14d01061182c4758e4d25c8a [file] [log] [blame]
// Copyright 2019 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 <xnnpack/math.h>
#include <xnnpack/ppmm.h>
void xnn_f32_ppmm_minmax_ukernel_${MR}x${NR}__scalar(
size_t mr,
size_t nc,
size_t kc,
const float*restrict a,
const float*restrict w,
float*restrict c,
size_t cm_stride,
size_t cn_stride,
const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)])
{
assert(mr != 0);
assert(mr <= ${MR});
assert(nc != 0);
assert(kc != 0);
assert(kc % sizeof(float) == 0);
float* c0 = c;
$for M in range(1, MR):
float* c${M} = (float*) ((uintptr_t) c${M-1} + cm_stride);
$if M % 2 == 0:
if XNN_UNPREDICTABLE(mr <= ${M}) {
c${M} = c${M-1};
}
$elif M + 1 == MR:
if XNN_UNPREDICTABLE(mr != ${M+1}) {
c${M} = c${M-1};
}
$else:
if XNN_UNPREDICTABLE(mr < ${M+1}) {
c${M} = c${M-1};
}
do {
$for N in range(NR):
float vacc0x${N} = w[${N}];
$for M in range(1, MR):
$for N in range(NR):
float vacc${M}x${N} = vacc0x${N};
w += ${NR};
size_t k = kc;
do {
$for M in range(MR):
const float va${M} = a[${M}];
a += ${MR};
$for N in range(NR):
const float vb${N} = w[${N}];
w += ${NR};
$for N in range(NR):
$for M in range(MR):
vacc${M}x${N} += va${M} * vb${N};
k -= sizeof(float);
} while (k != 0);
const float vmax = params->scalar.max;
$for N in range(NR):
$for M in range(MR):
vacc${M}x${N} = math_min_f32(vacc${M}x${N}, vmax);
const float vmin = params->scalar.min;
$for N in range(NR):
$for M in range(MR):
vacc${M}x${N} = math_max_f32(vacc${M}x${N}, vmin);
if XNN_LIKELY(nc >= ${NR}) {
$for M in reversed(range(MR)):
$for N in range(NR):
c${M}[${N}] = vacc${M}x${N};
a = (const float*) ((uintptr_t) a - kc * ${MR});
$for M in reversed(range(MR)):
c${M} = (float*) ((uintptr_t) c${M} + cn_stride);
nc -= ${NR};
} else {
$for LOG2N in reversed(range(NR.bit_length())):
$if NR != 1 << LOG2N:
if (nc & ${1 << LOG2N}) {
$if LOG2N != 0:
$for M in reversed(range(MR)):
$for N in range(1 << LOG2N):
c${M}[${N}] = vacc${M}x${N};
$for M in reversed(range(MR)):
$for N in range(1 << (LOG2N - 1)):
vacc${M}x${N} = vacc${M}x${N + (1 << LOG2N)};
$for M in reversed(range(MR)):
c${M} += ${1 << LOG2N};
$else:
$for M in reversed(range(MR)):
*c${M} = vacc${M}x0;
}
nc = 0;
}
} while (nc != 0);
}