blob: 6583a0f735d4dc6cdfff22f34df4026be11a55ac [file] [log] [blame]
// Auto-generated file. Do not edit!
// Template: src/f32-dwconv/up-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/dwconv.h>
#include <xnnpack/math.h>
void xnn_f32_dwconv_ukernel_up1x3__wasm(
size_t channels,
size_t output_width,
const float** input,
const float* weights,
float* output,
size_t input_stride,
size_t output_increment,
size_t input_offset,
const float* zero,
const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)])
{
assert(channels != 0);
assert(output_width != 0);
do {
const float* i0 = input[0];
assert(i0 != NULL);
if XNN_UNPREDICTABLE(i0 != zero) {
i0 = (const float*) ((uintptr_t) i0 + input_offset);
}
const float* i1 = input[1];
assert(i1 != NULL);
if XNN_UNPREDICTABLE(i1 != zero) {
i1 = (const float*) ((uintptr_t) i1 + input_offset);
}
const float* i2 = input[2];
assert(i2 != NULL);
if XNN_UNPREDICTABLE(i2 != zero) {
i2 = (const float*) ((uintptr_t) i2 + input_offset);
}
input = (const float**) ((uintptr_t) input + input_stride);
size_t c = channels;
const float* w = weights;
do {
float vacc0p0 = w[0];
const float vi0 = *i0++;
const float vk0 = w[1];
vacc0p0 += vi0 * vk0;
const float vi1 = *i1++;
const float vk1 = w[2];
vacc0p0 += vi1 * vk1;
const float vi2 = *i2++;
const float vk2 = w[3];
vacc0p0 += vi2 * vk2;
w += 4;
*output++ = vacc0p0;
} while (--c != 0);
output = (float*) ((uintptr_t) output + output_increment);
} while (--output_width != 0);
}