test / src /f32-gemm /scalar.c.in
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// 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 DATATYPE in ["F32", "QC4", "QC8"]
$assert ACTIVATION in ["LINEAR", "RELU", "MINMAX"]
$assert ACTIVATION != "LINEAR" or not WASM
$if DATATYPE == "QC4":
$assert ACTIVATION == "MINMAX"
$assert NR % 2 == 0
#include <assert.h>
#include <xnnpack/gemm.h>
#include <xnnpack/math.h>
$if DATATYPE in ["QC4", "QC8"] and NR % 4 != 0:
#include <xnnpack/unaligned.h>
$DATATYPE_SPEC = {"F32": "f32", "QC8": "f32_qc8w", "QC4": "f32_qc4w"}[DATATYPE]
$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]
$PARAMS = {"LINEAR": "xnn_f32_default_params", "RELU": "xnn_f32_relu_params", "MINMAX": "xnn_f32_minmax_params"}[ACTIVATION]
void xnn_${DATATYPE_SPEC}_${KERNEL}${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,
$if DATATYPE == "F32":
const float* restrict w,
$else:
const void* restrict w,
float* restrict c,
size_t cm_stride,
size_t cn_stride,
$if INC:
const float* restrict acc,
$if DATATYPE == "QC4":
const union xnn_f32_qc4w_minmax_params params[restrict XNN_MIN_ELEMENTS(1)])
$else:
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;
$if DATATYPE == "QC4":
const int32_t vminus_kernel_zero_point = params->scalar.minus_kernel_zero_point[0];
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:
$if DATATYPE == "F32":
$for N in range(NR):
float vacc0${N} = w[${N}];
w += ${NR};
$else:
$for N in range(NR):
$if NR % 4 == 0:
float vacc0${N} = ((const float*)w)[${N}];
$else:
float vacc0${N} = unaligned_indexed_load_f32(w, ${N});
w = (const float*) w + ${NR};
$for M in range(1, MR):
$for N in range(NR):
float vacc${M}${N} = vacc0${N};
size_t k = kc;
$if DATATYPE == "QC4":
for (; k >= 2 * sizeof(float); k -= 2 * sizeof(float)) {
$for M in range(MR):
const float va${M}0 = *a${M}++;
const float va${M}1 = *a${M}++;
$for N in range(NR):
const uint8_t vbi${N} = ((const uint8_t*) w)[${N}];
$for N in range(NR):
const float vb${N}0 = (float) ((int32_t) (vbi${N} & 0xF) + vminus_kernel_zero_point);
$for N in range(NR):
const float vb${N}1 = (float) ((int32_t) (vbi${N} >> 4) + vminus_kernel_zero_point);
w = (const int8_t*) w + ${NR};
$for M in range(MR):
$for N in range(NR):
vacc${M}${N} = math_muladd_f32(va${M}0, vb${N}0, vacc${M}${N});
$for M in range(MR):
$for N in range(NR):
vacc${M}${N} = math_muladd_f32(va${M}1, vb${N}1, vacc${M}${N});
}
if XNN_UNLIKELY(k != 0) {
$for M in range(MR):
const float va${M} = *a${M}++;
$for N in range(NR):
const uint8_t vbi${N} = ((const uint8_t*) w)[${N}];
$for N in range(NR):
const float vb${N} = (float) ((int32_t) vbi${N} + vminus_kernel_zero_point);
w = (const int8_t*) w + ${NR};
$for M in range(MR):
$for N in range(NR):
vacc${M}${N} = math_muladd_f32(va${M}, vb${N}, vacc${M}${N});
}
$else:
do {
$for M in range(MR):
const float va${M} = *a${M}++;
$if DATATYPE == "F32":
$for N in range(NR):
const float vb${N} = w[${N}];
w += ${NR};
$elif DATATYPE == "QC8":
$for N in range(NR):
const float vb${N} = (float) ((const int8_t*) w)[${N}];
w = (const int8_t*) w + ${NR};
$for M in range(MR):
$for N in range(NR):
vacc${M}${N} = math_muladd_f32(va${M}, vb${N}, vacc${M}${N});
k -= sizeof(float);
} while (k != 0);
$if DATATYPE in ["QC8", "QC4"]:
$for N in range(NR):
$if NR % 4 == 0:
const float vscale${N} = ((const float*)w)[${N}];
$else:
const float vscale${N} = unaligned_indexed_load_f32(w, ${N});
w = (const float*) w + ${NR};
$for N in range(NR):
$for M in range(MR):
vacc${M}${N} *= vscale${N};
$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:
$for N in range(NR - (1 << LOG2N) - 1):
vacc${M}${N} = vacc${M}${N + (1 << LOG2N)};
c${M} += ${1 << LOG2N};
}
nc = 0;
}
} while (nc != 0);
}