| // Auto-generated file. Do not edit! |
| // Template: src/f32-vmulcaddc/psimd.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 <psimd.h> |
| |
| #include <xnnpack/math.h> |
| #include <xnnpack/vmulcaddc.h> |
| |
| |
| void xnn_f32_vmulcaddc_ukernel_c4__psimd_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_minmax_params params[restrict static 1]) |
| { |
| assert(rows != 0); |
| assert(channels != 0); |
| assert(channels % sizeof(float) == 0); |
| |
| 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 size_t input_increment = input_stride * 2 - channels; |
| const size_t output_increment = output_stride * 2 - channels; |
| |
| const psimd_f32 vmin = psimd_load_splat_f32(¶ms->scalar.min); |
| const psimd_f32 vmax = psimd_load_splat_f32(¶ms->scalar.max); |
| do { |
| const float* w = weights; |
| size_t c = channels; |
| for (; c >= 4 * sizeof(float); c -= 4 * sizeof(float)) { |
| const psimd_f32 vscale0123 = psimd_load_f32(w); |
| |
| psimd_f32 vacc0x0123 = psimd_load_f32(i0); |
| i0 += 4; |
| psimd_f32 vacc1x0123 = psimd_load_f32(i1); |
| i1 += 4; |
| |
| const psimd_f32 vbias0123 = psimd_load_f32(w + 4); |
| |
| vacc0x0123 = psimd_qfma_f32(vbias0123, vscale0123, vacc0x0123); |
| vacc1x0123 = psimd_qfma_f32(vbias0123, vscale0123, vacc1x0123); |
| |
| vacc0x0123 = psimd_max_f32(vacc0x0123, vmin); |
| vacc1x0123 = psimd_max_f32(vacc1x0123, vmin); |
| |
| vacc0x0123 = psimd_min_f32(vacc0x0123, vmax); |
| vacc1x0123 = psimd_min_f32(vacc1x0123, vmax); |
| |
| psimd_store_f32(o0, vacc0x0123); |
| o0 += 4; |
| psimd_store_f32(o1, vacc1x0123); |
| o1 += 4; |
| |
| w += 8; |
| } |
| if XNN_UNLIKELY(c != 0) { |
| const psimd_f32 vscale0123 = psimd_load_f32(w); |
| |
| psimd_f32 vacc0x0123 = psimd_load_f32(i0); |
| i0 = (const float*) ((uintptr_t) i0 + c); |
| psimd_f32 vacc1x0123 = psimd_load_f32(i1); |
| i1 = (const float*) ((uintptr_t) i1 + c); |
| |
| const psimd_f32 vbias0123 = psimd_load_f32(w + 4); |
| |
| vacc0x0123 = psimd_qfma_f32(vbias0123, vscale0123, vacc0x0123); |
| vacc1x0123 = psimd_qfma_f32(vbias0123, vscale0123, vacc1x0123); |
| |
| vacc0x0123 = psimd_max_f32(vacc0x0123, vmin); |
| vacc1x0123 = psimd_max_f32(vacc1x0123, vmin); |
| |
| vacc0x0123 = psimd_min_f32(vacc0x0123, vmax); |
| vacc1x0123 = psimd_min_f32(vacc1x0123, vmax); |
| |
| if (c & (2 * sizeof(float))) { |
| psimd_store2_f32(o0, vacc0x0123); |
| psimd_store2_f32(o1, vacc1x0123); |
| |
| vacc0x0123 = psimd_concat_hi_f32(vacc0x0123, vacc0x0123); |
| vacc1x0123 = psimd_concat_hi_f32(vacc1x0123, vacc1x0123); |
| |
| o0 += 2; |
| o1 += 2; |
| } |
| if (c & (1 * sizeof(float))) { |
| psimd_store1_f32(o0, vacc0x0123); |
| psimd_store1_f32(o1, vacc1x0123); |
| |
| o0 += 1; |
| o1 += 1; |
| } |
| } |
| 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); |
| } |