blob: 5db0f9c3c90e474497e62710ae7b8583055f2b72 [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/gemm.h>
#include <xnnpack/math.h>
$assert ACTIVATION in ["LINEAR", "RELU", "MINMAX"]
$MIN_F32 = "__builtin_wasm_min_f32" if WASM else "math_min_f32"
$MAX_F32 = "__builtin_wasm_max_f32" if WASM else "math_max_f32"
$KERNEL = "gemminc" if INC else "gemm"
$SUFFIX = {"LINEAR": "", "RELU": "_relu", "MINMAX": "_minmax"}[ACTIVATION]
$PARAMS = {"LINEAR": "xnn_f32_default_params", "RELU": "xnn_f32_relu_params", "MINMAX": "xnn_f32_minmax_params"}[ACTIVATION]
void xnn_f32_${KERNEL}${SUFFIX}_ukernel_${MR}x${NR}__${"wasm" if WASM else "scalar"}(
size_t mr,
size_t nc,
size_t kc,
const float* restrict a,
size_t a_stride,
const float* restrict w,
float* restrict c,
size_t cm_stride,
size_t cn_stride,
$if INC:
const float*restrict acc,
const union ${PARAMS} params[restrict XNN_MIN_ELEMENTS(1)])
{
assert(mr != 0);
assert(mr <= ${MR});
assert(nc != 0);
assert(kc != 0);
assert(kc % sizeof(float) == 0);
assert(a != NULL);
assert(w != NULL);
assert(c != NULL);
$if INC:
assert(acc != NULL);
const float* a0 = a;
float* c0 = c;
$for M in range(1, MR):
const float* a${M} = (const float*) ((uintptr_t) a${M-1} + a_stride);
float* c${M} = (float*) ((uintptr_t) c${M-1} + cm_stride);
$if M % 2 == 0:
if XNN_UNPREDICTABLE(mr <= ${M}) {
a${M} = a${M-1};
c${M} = c${M-1};
}
$elif M + 1 == MR:
if XNN_UNPREDICTABLE(mr != ${M+1}) {
a${M} = a${M-1};
c${M} = c${M-1};
}
$else:
if XNN_UNPREDICTABLE(mr < ${M+1}) {
a${M} = a${M-1};
c${M} = c${M-1};
}
$if ACTIVATION == "MINMAX":
const float vmin = params->scalar.min;
const float vmax = params->scalar.max;
do {
$if INC:
$for M in range(MR):
$for N in range(NR):
float vacc${M}${N} = acc[${M*NR+N}];
acc += ${MR*NR};
$else:
$for N in range(NR):
float vacc0${N} = w[${N}];
w += ${NR};
$for M in range(1, MR):
$for N in range(NR):
float vacc${M}${N} = vacc0${N};
size_t k = kc;
do {
$for M in range(MR):
const float va${M} = *a${M}++;
$for N in range(NR):
const float vb${N} = w[${N}];
w += ${NR};
$for M in range(MR):
$for N in range(NR):
vacc${M}${N} += va${M} * vb${N};
k -= sizeof(float);
} while (k != 0);
$if ACTIVATION == "MINMAX":
$for M in range(MR):
$for N in range(NR):
vacc${M}${N} = ${MAX_F32}(vacc${M}${N}, vmin);
$for M in range(MR):
$for N in range(NR):
vacc${M}${N} = ${MIN_F32}(vacc${M}${N}, vmax);
$elif ACTIVATION == "RELU":
$for M in range(MR):
$for N in range(NR):
vacc${M}${N} = ${MAX_F32}(vacc${M}${N}, 0.0f);
if XNN_LIKELY(nc >= ${NR}) {
$for M in reversed(range(MR)):
$for N in range(NR):
c${M}[${N}] = vacc${M}${N};
c${M} = (float*) ((uintptr_t) c${M} + cn_stride);
$for M in reversed(range(MR)):
a${M} = (const void*) ((uintptr_t) a${M} - kc);
nc -= ${NR};
} else {
$for LOG2N in reversed(range(NR.bit_length() - 1)):
if (nc & ${1 << LOG2N}) {
$for M in reversed(range(MR)):
$for N in range(1 << LOG2N):
c${M}[${N}] = vacc${M}${N};
$if LOG2N != 0:
$for N in range(1 << (LOG2N - 1)):
vacc${M}${N} = vacc${M}${N + (1 << LOG2N)};
c${M} += ${1 << LOG2N};
}
nc = 0;
}
} while (nc != 0);
}