| // Auto-generated file. Do not edit! |
| // Template: src/f32-vmulcaddc/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/vmulcaddc.h> |
| |
| |
| void xnn_f32_vmulcaddc_ukernel_c2__scalar_2x( |
| size_t rows, |
| size_t channels, |
| const float*restrict input, |
| size_t input_stride, |
| const float*restrict weights, |
| float*restrict output, |
| size_t output_stride, |
| const union xnn_f32_output_params params[restrict static 1]) |
| { |
| assert(rows != 0); |
| assert(channels != 0); |
| assert(channels % sizeof(float) == 0); |
| |
| const size_t input_increment = input_stride * 2 - channels; |
| const size_t output_increment = output_stride * 2 - channels; |
| |
| const float* i0 = input; |
| float* o0 = output; |
| const float* i1 = (const float*) ((uintptr_t) i0 + input_stride); |
| float* o1 = (float*) ((uintptr_t) o0 + output_stride); |
| if XNN_UNPREDICTABLE(rows < 2) { |
| i1 = i0; |
| o1 = o0; |
| } |
| |
| const float vmin = params->scalar.min; |
| const float vmax = params->scalar.max; |
| do { |
| const float* w = weights; |
| size_t c = channels; |
| for (; c >= 2 * sizeof(float); c -= 2 * sizeof(float)) { |
| const float vscale0 = w[0]; |
| const float vscale1 = w[1]; |
| |
| float vacc0x0 = i0[0]; |
| float vacc0x1 = i0[1]; |
| i0 += 2; |
| float vacc1x0 = i1[0]; |
| float vacc1x1 = i1[1]; |
| i1 += 2; |
| |
| const float vbias0 = w[2]; |
| const float vbias1 = w[3]; |
| |
| vacc0x0 = vacc0x0 * vscale0 + vbias0; |
| vacc0x1 = vacc0x1 * vscale1 + vbias1; |
| vacc1x0 = vacc1x0 * vscale0 + vbias0; |
| vacc1x1 = vacc1x1 * vscale1 + vbias1; |
| |
| vacc0x0 = math_max_f32(vacc0x0, vmin); |
| vacc0x1 = math_max_f32(vacc0x1, vmin); |
| vacc1x0 = math_max_f32(vacc1x0, vmin); |
| vacc1x1 = math_max_f32(vacc1x1, vmin); |
| |
| vacc0x0 = math_min_f32(vacc0x0, vmax); |
| vacc0x1 = math_min_f32(vacc0x1, vmax); |
| vacc1x0 = math_min_f32(vacc1x0, vmax); |
| vacc1x1 = math_min_f32(vacc1x1, vmax); |
| |
| o0[0] = vacc0x0; |
| o0[1] = vacc0x1; |
| o0 += 2; |
| o1[0] = vacc1x0; |
| o1[1] = vacc1x1; |
| o1 += 2; |
| |
| w += 4; |
| } |
| if XNN_UNLIKELY(c != 0) { |
| do { |
| const float vscale = *w++; |
| |
| float vacc0 = *i0++; |
| float vacc1 = *i1++; |
| |
| const float vbias = w[1]; |
| |
| vacc0 = vacc0 * vscale + vbias; |
| vacc1 = vacc1 * vscale + vbias; |
| |
| vacc0 = math_max_f32(vacc0, vmin); |
| vacc1 = math_max_f32(vacc1, vmin); |
| |
| vacc0 = math_min_f32(vacc0, vmax); |
| vacc1 = math_min_f32(vacc1, vmax); |
| |
| *o0++ = vacc0; |
| *o1++ = vacc1; |
| |
| c -= sizeof(float); |
| } while (c != 0); |
| } |
| i0 = (const float*) ((uintptr_t) i0 + input_increment); |
| o0 = (float*) ((uintptr_t) o0 + output_increment); |
| i1 = (const float*) ((uintptr_t) i1 + input_increment); |
| o1 = (float*) ((uintptr_t) o1 + output_increment); |
| if XNN_UNPREDICTABLE(rows < 4) { |
| i1 = i0; |
| o1 = o0; |
| } |
| rows = doz(rows, 2); |
| } while (rows != 0); |
| } |