// Auto-generated file. Do not edit! // Template: src/f16-vmulcaddc/fma3.c.in // Generator: tools/xngen // // Copyright 2022 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 #include #include #include void xnn_f16_vmulcaddc_minmax_ukernel_c8__fma3_2x( size_t rows, size_t channels, const void* restrict input, size_t input_stride, const void* restrict weights, void* restrict output, size_t output_stride, const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS { assert(rows != 0); assert(channels != 0); assert(channels % sizeof(uint16_t) == 0); const uint16_t* i0 = (const uint16_t*) input; uint16_t* o0 = (uint16_t*) output; const uint16_t* i1 = (const uint16_t*) ((uintptr_t) i0 + input_stride); uint16_t* o1 = (uint16_t*) ((uintptr_t) o0 + output_stride); const size_t input_increment = input_stride * 2 - channels; const size_t output_increment = output_stride * 2 - channels; const __m256 vmin = _mm256_load_ps(params->avx.min); const __m256 vmax = _mm256_load_ps(params->avx.max); do { if XNN_UNPREDICTABLE(rows < 2) { i1 = i0; o1 = o0; } const uint16_t* w = (const uint16_t*) weights; size_t c = channels; for (; c >= 8 * sizeof(uint16_t); c -= 8 * sizeof(uint16_t)) { const __m256 vscale = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) w)); __m256 vacc0 = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i0)); i0 += 8; __m256 vacc1 = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i1)); i1 += 8; const __m256 vbias = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) (w + 8))); w += 16; vacc0 = _mm256_fmadd_ps(vacc0, vscale, vbias); vacc1 = _mm256_fmadd_ps(vacc1, vscale, vbias); vacc0 = _mm256_max_ps(vacc0, vmin); vacc1 = _mm256_max_ps(vacc1, vmin); vacc0 = _mm256_min_ps(vacc0, vmax); vacc1 = _mm256_min_ps(vacc1, vmax); _mm_storeu_si128((__m128i*) o0, _mm256_cvtps_ph(vacc0, _MM_FROUND_TO_NEAREST_INT)); o0 += 8; _mm_storeu_si128((__m128i*) o1, _mm256_cvtps_ph(vacc1, _MM_FROUND_TO_NEAREST_INT)); o1 += 8; } if XNN_UNLIKELY(c != 0) { const __m256 vscale = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) w)); __m256 vacc0 = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i0)); i0 = (const uint16_t*) ((uintptr_t) i0 + c); __m256 vacc1 = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i1)); i1 = (const uint16_t*) ((uintptr_t) i1 + c); const __m256 vbias = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) (w + 8))); vacc0 = _mm256_fmadd_ps(vacc0, vscale, vbias); vacc1 = _mm256_fmadd_ps(vacc1, vscale, vbias); vacc0 = _mm256_max_ps(vacc0, vmin); vacc1 = _mm256_max_ps(vacc1, vmin); vacc0 = _mm256_min_ps(vacc0, vmax); vacc1 = _mm256_min_ps(vacc1, vmax); __m128i vh0 = _mm256_cvtps_ph(vacc0, _MM_FROUND_TO_NEAREST_INT); __m128i vh1 = _mm256_cvtps_ph(vacc1, _MM_FROUND_TO_NEAREST_INT); if (c & (4 * sizeof(uint16_t))) { _mm_storel_epi64((__m128i*) o0, vh0); _mm_storel_epi64((__m128i*) o1, vh1); vh0 = _mm_unpackhi_epi64(vh0, vh0); vh1 = _mm_unpackhi_epi64(vh1, vh1); o0 += 4; o1 += 4; } if (c & (2 * sizeof(uint16_t))) { _mm_storeu_si32(o0, vh0); _mm_storeu_si32(o1, vh1); vh0 = _mm_srli_epi64(vh0, 32); vh1 = _mm_srli_epi64(vh1, 32); o0 += 2; o1 += 2; } if (c & (1 * sizeof(uint16_t))) { *o0 = (uint16_t) _mm_extract_epi16(vh0, 0); *o1 = (uint16_t) _mm_extract_epi16(vh1, 0); o0 += 1; o1 += 1; } } i0 = (const uint16_t*) ((uintptr_t) i0 + input_increment); o0 = (uint16_t*) ((uintptr_t) o0 + output_increment); i1 = (const uint16_t*) ((uintptr_t) i1 + input_increment); o1 = (uint16_t*) ((uintptr_t) o1 + output_increment); rows = doz(rows, 2); } while (rows != 0); }