blob: e5b453370f49520a846b3c402a6583be19502c7a [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.
$assert MR % 4 == 0
$assert NR % 4 == 0
$ABC = "0123456789ABCDEFGHIJKLMN"
#include <assert.h>
#include <xmmintrin.h>
#include <xnnpack/ppmm.h>
void xnn_f32_ppmm_ukernel_${MR}x${NR}__sse(
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_output_params params[restrict static 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${M-1};
}
do {
__m128 vacc0x${ABC[0:4]} = _mm_load_ps(w);
$for N in range(4, NR, 4):
__m128 vacc0x${ABC[N:N+4]} = _mm_load_ps(w + ${N});
$for M in range(1, MR):
$for N in range(0, NR, 4):
__m128 vacc${M}x${ABC[N:N+4]} = vacc0x${ABC[N:N+4]};
w += ${NR};
size_t k = kc;
do {
const __m128 va${ABC[0:4]} = _mm_load_ps(a);
$for M in range(4, MR, 4):
const __m128 va${ABC[M:M+4]} = _mm_load_ps(a + ${M});
a += ${MR};
const __m128 vb${ABC[0:4]} = _mm_load_ps(w);
$for N in range(4, NR, 4):
const __m128 vb${ABC[N:N+4]} = _mm_load_ps(w + ${N});
w += ${NR};
$for M in range(MR):
$MMMM = str(M) * 4
const __m128 va${MMMM} = _mm_shuffle_ps(va${ABC[M&-4:4+M&-4]}, va${ABC[M&-4:4+M&-4]}, _MM_SHUFFLE(${M % 4}, ${M % 4}, ${M % 4}, ${M % 4}));
$for N in range(0, NR, 4):
$for M in range(MR):
$MMMM = str(M) * 4
vacc${M}x${ABC[N:N+4]} = _mm_add_ps(vacc${M}x${ABC[N:N+4]}, _mm_mul_ps(va${MMMM}, vb${ABC[N:N+4]}));
k -= sizeof(float);
} while (k != 0);
const __m128 vmax = _mm_load_ps(params->sse.max);
$for N in range(0, NR, 4):
$for M in range(MR):
vacc${M}x${ABC[N:N+4]} = _mm_min_ps(vacc${M}x${ABC[N:N+4]}, vmax);
const __m128 vmin = _mm_load_ps(params->sse.min);
$for N in range(0, NR, 4):
$for M in range(MR):
vacc${M}x${ABC[N:N+4]} = _mm_max_ps(vacc${M}x${ABC[N:N+4]}, vmin);
if XNN_LIKELY(nc >= ${NR}) {
$for M in reversed(range(MR)):
_mm_storeu_ps(c${M}, vacc${M}x${ABC[0:4]});
$for N in range(4, NR, 4):
_mm_storeu_ps(c${M} + ${N}, vacc${M}x${ABC[N:N+4]});
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 >= 2:
$for M in reversed(range(MR)):
_mm_storeu_ps(c${M}, vacc${M}x${ABC[0:4]});
$for N in range(4, 1 << LOG2N, 4):
_mm_storeu_ps(c${M} + ${N}, vacc${M}x${ABC[N:N+4]});
$for M in reversed(range(MR)):
$for N in range(0, 1 << (LOG2N - 1), 4):
vacc${M}x${ABC[N:N+4]} = vacc${M}x${ABC[N + (1 << LOG2N):N + (1 << LOG2N)+4]};
$for M in reversed(range(MR)):
c${M} += ${1 << LOG2N};
$elif LOG2N == 1:
$for M in reversed(range(MR)):
_mm_storel_pi((__m64*) c${M}, vacc${M}x${ABC[0:4]});
$for M in reversed(range(MR)):
vacc${M}x${ABC[0:4]} = _mm_movehl_ps(vacc${M}x${ABC[0:4]}, vacc${M}x${ABC[0:4]});
$for M in reversed(range(MR)):
c${M} += 2;
$elif LOG2N == 0:
$for M in reversed(range(MR)):
_mm_store_ss(c${M}, vacc${M}x${ABC[0:4]});
}
nc = 0;
}
} while (nc != 0);
}