blob: fdb682fc5dbda48eef2d2aff2d9bad8285481f5c [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
$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
#include <assert.h>
#include <immintrin.h>
#include <xnnpack/spmm.h>
void xnn_f32_spmm_minmax_ukernel_${MR}x${NR}__sse${"_x" + str(UNROLL) if UNROLL > 1 else ""}(
size_t mc,
size_t nc,
const float*restrict input,
const float*restrict weights,
const int32_t*restrict widx_dmap,
const uint32_t*restrict nidx_nnzmap,
float*restrict output,
size_t output_stride,
const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)])
{
assert(mc != 0);
assert(mc % sizeof(float) == 0);
assert(nc != 0);
const __m128 vmin = _mm_load_ps(params->sse.min);
const __m128 vmax = _mm_load_ps(params->sse.max);
size_t output_decrement = output_stride * nc - ${MR} * sizeof(float);
while XNN_LIKELY(mc >= ${MR} * sizeof(float)) {
const float*restrict w = weights;
const int32_t* dmap = widx_dmap;
const uint32_t* nnzmap = nidx_nnzmap;
size_t n = nc;
do {
uint32_t nnz = *nnzmap++;
$if UNROLL > 1:
__m128 vacc0123x0 = _mm_load1_ps(w);
w += 1;
$for K in range(1, UNROLL):
__m128 vacc0123x${K} = _mm_setzero_ps();
$for M in range(4, MR, 4):
__m128 vacc${ABC[M:M+4]}x0 = vacc0123x0;
$for K in range(1, UNROLL):
__m128 vacc${ABC[M:M+4]}x${K} = _mm_setzero_ps();
for (; nnz >= ${UNROLL}; nnz -= ${UNROLL}) {
$for K in range(UNROLL):
const intptr_t diff${K} = dmap[${K}];
dmap += ${UNROLL};
$for K in range(UNROLL):
const __m128 vi0123x${K} = _mm_loadu_ps(input);
$for M in range(4, MR, 4):
const __m128 vi${ABC[M:M+4]}x${K} = _mm_loadu_ps(input + ${M});
input = (const float*restrict) ((uintptr_t) input + (uintptr_t) diff${K});
const __m128 vw${K} = _mm_load1_ps(w);
w += 1;
$for M in range(0, MR, 4):
vacc${ABC[M:M+4]}x${K} = _mm_add_ps(vacc${ABC[M:M+4]}x${K}, _mm_mul_ps(vi${ABC[M:M+4]}x${K}, vw${K}));
}
$for M in range(0, MR, 4):
__m128 vacc${ABC[M:M+4]} = vacc${ABC[M:M+4]}x0;
$for K in range(1, UNROLL):
$for M in range(0, MR, 4):
vacc${ABC[M:M+4]} = _mm_add_ps(vacc${ABC[M:M+4]}, vacc${ABC[M:M+4]}x${K});
$else:
__m128 vacc0123 = _mm_load1_ps(w); w += 1;
$for M in range(4, MR, 4):
__m128 vacc${ABC[M:M+4]} = vacc0123;
if XNN_LIKELY(nnz != 0) {
do {
const intptr_t diff = *dmap++;
const __m128 vi0123 = _mm_loadu_ps(input);
$for M in range(4, MR, 4):
const __m128 vi${ABC[M:M+4]} = _mm_loadu_ps(input + ${M});
input = (const float*restrict) ((uintptr_t) input + (uintptr_t) diff);
const __m128 vw = _mm_load1_ps(w); w += 1;
$for M in range(0, MR, 4):
vacc${ABC[M:M+4]} = _mm_add_ps(vacc${ABC[M:M+4]}, _mm_mul_ps(vi${ABC[M:M+4]}, vw));
} while (--nnz != 0);
}
$for M in range(0, MR, 4):
__m128 vout${ABC[M:M+4]} = _mm_min_ps(vacc${ABC[M:M+4]}, vmax);
$for M in range(0, MR, 4):
vout${ABC[M:M+4]} = _mm_max_ps(vout${ABC[M:M+4]}, vmin);
_mm_storeu_ps(output, vout0123);
$for M in range(4, MR, 4):
_mm_storeu_ps(output + ${M}, vout${ABC[M:M+4]});
output = (float*restrict) ((uintptr_t) output + output_stride);
} while (--n != 0);
output = (float*restrict) ((uintptr_t) output - output_decrement);
input += ${MR};
mc -= ${MR} * sizeof(float);
}
if XNN_UNLIKELY(mc != 0) {
$for LOG2M in reversed(range((MR - 1).bit_length())):
$SUBMR = 1 << LOG2M
$if SUBMR * 2 >= MR:
output_decrement += ${MR - SUBMR} * sizeof(float);
$else:
output_decrement += ${SUBMR} * sizeof(float);
if (mc & (${SUBMR} * sizeof(float))) {
const float*restrict w = weights;
const int32_t* dmap = widx_dmap;
const uint32_t* nnzmap = nidx_nnzmap;
size_t n = nc;
do {
uint32_t nnz = *nnzmap++;
$if SUBMR == 1:
__m128 vacc0 = _mm_load_ss(w); w += 1;
$elif SUBMR == 2:
__m128 vacc01 = _mm_load_ss(w); w += 1;
vacc01 = _mm_unpacklo_ps(vacc01, vacc01);
$else:
__m128 vacc0123 = _mm_load1_ps(w); w += 1;
$for M in range(4, SUBMR, 4):
__m128 vacc${ABC[M:M+4]} = vacc0123;
if XNN_LIKELY(nnz != 0) {
do {
const intptr_t diff = *dmap++;
$if SUBMR >= 4:
const __m128 vi0123 = _mm_loadu_ps(input);
$elif SUBMR == 2:
const __m128 vi01 = _mm_loadl_pi(_mm_undefined_ps(), (const __m64*) input);
$elif SUBMR == 1:
const __m128 vi0 = _mm_load_ss(input);
$for M in range(4, SUBMR, 4):
const __m128 vi${ABC[M:M+4]} = _mm_loadu_ps(input + ${M});
input = (const float*restrict) ((uintptr_t) input + (uintptr_t) diff);
$if SUBMR >= 4:
const __m128 vw = _mm_load1_ps(w); w += 1;
$elif SUBMR == 2:
__m128 vw = _mm_load_ss(w); w += 1;
vw = _mm_unpacklo_ps(vw, vw);
$else:
const __m128 vw = _mm_load_ss(w); w += 1;
$if SUBMR == 1:
vacc${ABC[0]} = _mm_add_ss(vacc${ABC[0]}, _mm_mul_ss(vi${ABC[0]}, vw));
$else:
$for M in range(0, SUBMR, 4):
vacc${ABC[M:min(M+4,SUBMR)]} = _mm_add_ps(vacc${ABC[M:min(M+4,SUBMR)]}, _mm_mul_ps(vi${ABC[M:min(M+4,SUBMR)]}, vw));
} while (--nnz != 0);
}
$if SUBMR == 1:
__m128 vout${ABC[0]} = _mm_min_ss(vacc${ABC[0]}, vmax);
vout${ABC[0]} = _mm_max_ss(vout${ABC[0]}, vmin);
$else:
$for M in range(0, SUBMR, 4):
__m128 vout${ABC[M:min(M+4,SUBMR)]} = _mm_min_ps(vacc${ABC[M:min(M+4,SUBMR)]}, vmax);
$for M in range(0, SUBMR, 4):
vout${ABC[M:min(M+4,SUBMR)]} = _mm_max_ps(vout${ABC[M:min(M+4,SUBMR)]}, vmin);
$if SUBMR >= 4:
_mm_storeu_ps(output, vout0123);
$elif SUBMR == 2:
_mm_storel_pi((__m64*) output, vout01);
$elif SUBMR == 1:
_mm_store_ss(output, vout0);
$for M in range(4, SUBMR, 4):
_mm_storeu_ps(output + ${M}, vout${ABC[M:M+4]});
output = (float*restrict) ((uintptr_t) output + output_stride);
} while (--n != 0);
output = (float*restrict) ((uintptr_t) output - output_decrement);
input += ${SUBMR};
}
}
}