blob: 9bf32a560f5f6fd5ac32048250a2b6776d534154 [file] [log] [blame]
// Auto-generated file. Do not edit!
// Template: src/f32-spmm/scalar.c.in
// Generator: tools/xngen
//
// 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/spmm.h>
void xnn_f32_spmm_minmax_ukernel_1x1__scalar(
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 float vmin = params->scalar.min;
const float vmax = params->scalar.max;
size_t output_decrement = output_stride * nc - 1 * sizeof(float);
while (mc >= 1 * sizeof(float)) {
const float*restrict w = weights;
const int32_t* dmap = widx_dmap;
const uint32_t* nnzmap = nidx_nnzmap;
size_t n = nc;
while (n >= 1) {
uint32_t nnz = *nnzmap++;
float vacc0x0 = *w++;
if XNN_LIKELY(nnz != 0) {
do {
const intptr_t diff = *dmap++;
const float vi0 = input[0];
input = (const float*restrict) ((uintptr_t) input + (uintptr_t) diff);
const float vw0 = *w++;
vacc0x0 += vi0 * vw0;
} while (--nnz != 0);
}
float vout0x0 = math_min_f32(vacc0x0, vmax);
vout0x0 = math_max_f32(vout0x0, vmin);
output[0] = vout0x0;
output[0] = vout0x0;
output = (float*restrict) ((uintptr_t) output + output_stride);
n -= 1;
}
if XNN_UNLIKELY(n != 0) {
do {
uint32_t nnz = *nnzmap++;
float vacc0 = *w++;
if XNN_LIKELY(nnz != 0) {
do {
const intptr_t diff = *dmap++;
const float vi0 = input[0];
input = (const float*restrict) ((uintptr_t) input + (uintptr_t) diff);
const float vw = *w++;
vacc0 += vi0 * vw;
} while (--nnz != 0);
}
float vout0 = math_min_f32(vacc0, vmax);
vout0 = math_max_f32(vout0, vmin);
output[0] = vout0;
output = (float*restrict) ((uintptr_t) output + output_stride);
n -= 1;
} while (n != 0);
}
output = (float*restrict) ((uintptr_t) output - output_decrement);
input += 1;
mc -= 1 * sizeof(float);
}
if XNN_UNLIKELY(mc != 0) {
}
}