// Auto-generated file. Do not edit! // Template: src/f32-dwconv/unipass-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 #include "xnnpack/dwconv.h" #include "xnnpack/math.h" void xnn_f32_dwconv_minmax_ukernel_3p1c__scalar( size_t channels, size_t output_width, const float** input, const float* weights, float* output, intptr_t input_stride, size_t output_increment, size_t input_offset, const float* zero, const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) { assert(channels != 0); assert(output_width != 0); const float vmin = params->scalar.min; const float vmax = params->scalar.max; 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 = math_muladd_f32(vi0, vk0, vacc0p0); const float vi1 = *i1++; const float vk1 = w[2]; vacc0p0 = math_muladd_f32(vi1, vk1, vacc0p0); const float vi2 = *i2++; const float vk2 = w[3]; vacc0p0 = math_muladd_f32(vi2, vk2, vacc0p0); w += 4; float vacc0 = math_max_f32(vacc0p0, vmin); vacc0 = math_min_f32(vacc0, vmax); *output++ = vacc0; } while (--c != 0); output = (float*) ((uintptr_t) output + output_increment); } while (--output_width != 0); }