-#include "../nnue_common.h"
-
-namespace Eval::NNUE::Layers {
-
- // Affine transformation layer
- template <typename PreviousLayer, IndexType OutputDimensions>
- class AffineTransform {
- public:
- // Input/output type
- using InputType = typename PreviousLayer::OutputType;
- using OutputType = std::int32_t;
- static_assert(std::is_same<InputType, std::uint8_t>::value, "");
-
- // Number of input/output dimensions
- static constexpr IndexType kInputDimensions =
- PreviousLayer::kOutputDimensions;
- static constexpr IndexType kOutputDimensions = OutputDimensions;
- static constexpr IndexType kPaddedInputDimensions =
- CeilToMultiple<IndexType>(kInputDimensions, kMaxSimdWidth);
-
- // Size of forward propagation buffer used in this layer
- static constexpr std::size_t kSelfBufferSize =
- CeilToMultiple(kOutputDimensions * sizeof(OutputType), kCacheLineSize);
-
- // Size of the forward propagation buffer used from the input layer to this layer
- static constexpr std::size_t kBufferSize =
- PreviousLayer::kBufferSize + kSelfBufferSize;
-
- // Hash value embedded in the evaluation file
- static constexpr std::uint32_t GetHashValue() {
- std::uint32_t hash_value = 0xCC03DAE4u;
- hash_value += kOutputDimensions;
- hash_value ^= PreviousLayer::GetHashValue() >> 1;
- hash_value ^= PreviousLayer::GetHashValue() << 31;
- return hash_value;
- }
-
- // Read network parameters
- bool ReadParameters(std::istream& stream) {
- if (!previous_layer_.ReadParameters(stream)) return false;
- for (std::size_t i = 0; i < kOutputDimensions; ++i)
- biases_[i] = read_little_endian<BiasType>(stream);
- for (std::size_t i = 0; i < kOutputDimensions * kPaddedInputDimensions; ++i)
- weights_[i] = read_little_endian<WeightType>(stream);
- return !stream.fail();
- }
-
- // Forward propagation
- const OutputType* Propagate(
- const TransformedFeatureType* transformed_features, char* buffer) const {
- const auto input = previous_layer_.Propagate(
- transformed_features, buffer + kSelfBufferSize);
-
-#if defined (USE_AVX512)
-
- [[maybe_unused]] const __m512i kOnes512 = _mm512_set1_epi16(1);
-
- [[maybe_unused]] auto m512_hadd = [](__m512i sum, int bias) -> int {
- return _mm512_reduce_add_epi32(sum) + bias;
- };
-
- // This function takes
- // sum0 = [xmm0a, xmm0b, xmm0c, xmm0d]
- // sum1 = [xmm1a, xmm1b, xmm1c, xmm1d]
- // sum2 = [xmm2a, xmm2b, xmm2c, xmm2d]
- // sum3 = [xmm3a, xmm3b, xmm3c, xmm3d]
- // and returns
- // ret = [
- // reduce_add_epi32(xmm0a), reduce_add_epi32(xmm1a), reduce_add_epi32(xmm2a), reduce_add_epi32(xmm3a),
- // reduce_add_epi32(xmm0b), reduce_add_epi32(xmm1b), reduce_add_epi32(xmm2b), reduce_add_epi32(xmm3b),
- // reduce_add_epi32(xmm0c), reduce_add_epi32(xmm1c), reduce_add_epi32(xmm2c), reduce_add_epi32(xmm3c),
- // reduce_add_epi32(xmm0d), reduce_add_epi32(xmm1d), reduce_add_epi32(xmm2d), reduce_add_epi32(xmm3d)
- // ]
- [[maybe_unused]] auto m512_hadd128x16_interleave = [](
- __m512i sum0, __m512i sum1, __m512i sum2, __m512i sum3) -> __m512i {
-
- __m512i sum01a = _mm512_unpacklo_epi32(sum0, sum1);
- __m512i sum01b = _mm512_unpackhi_epi32(sum0, sum1);
-
- __m512i sum23a = _mm512_unpacklo_epi32(sum2, sum3);
- __m512i sum23b = _mm512_unpackhi_epi32(sum2, sum3);
-
- __m512i sum01 = _mm512_add_epi32(sum01a, sum01b);
- __m512i sum23 = _mm512_add_epi32(sum23a, sum23b);
-
- __m512i sum0123a = _mm512_unpacklo_epi64(sum01, sum23);
- __m512i sum0123b = _mm512_unpackhi_epi64(sum01, sum23);
-
- return _mm512_add_epi32(sum0123a, sum0123b);
- };
-
- [[maybe_unused]] auto m512_haddx4 = [m512_hadd128x16_interleave](
- __m512i sum0, __m512i sum1, __m512i sum2, __m512i sum3, __m128i bias) -> __m128i {
-
- __m512i sum = m512_hadd128x16_interleave(sum0, sum1, sum2, sum3);
-
- __m256i sum256lo = _mm512_castsi512_si256(sum);
- __m256i sum256hi = _mm512_extracti64x4_epi64(sum, 1);
-
- sum256lo = _mm256_add_epi32(sum256lo, sum256hi);
-
- __m128i sum128lo = _mm256_castsi256_si128(sum256lo);
- __m128i sum128hi = _mm256_extracti128_si256(sum256lo, 1);
-
- return _mm_add_epi32(_mm_add_epi32(sum128lo, sum128hi), bias);
- };
-
- [[maybe_unused]] auto m512_haddx8 = [m512_hadd128x16_interleave](
- __m512i sum0, __m512i sum1, __m512i sum2, __m512i sum3,
- __m512i sum4, __m512i sum5, __m512i sum6, __m512i sum7, __m256i bias) -> __m256i {
-
- __m512i suma = m512_hadd128x16_interleave(sum0, sum1, sum2, sum3);
- __m512i sumb = m512_hadd128x16_interleave(sum4, sum5, sum6, sum7);
-
- __m512i indices0 = _mm512_setr_epi64(0, 1, 8, 9, 4, 5, 12, 13);
- __m512i indices1 = _mm512_setr_epi64(2, 3, 10, 11, 6, 7, 14, 15);
- __m512i x = _mm512_add_epi32(
- _mm512_permutex2var_epi64(suma, indices0, sumb),
- _mm512_permutex2var_epi64(suma, indices1, sumb));
-
- __m256i sum256lo = _mm512_castsi512_si256(x);
- __m256i sum256hi = _mm512_extracti64x4_epi64(x, 1);
-
- return _mm256_add_epi32(_mm256_add_epi32(sum256lo, sum256hi), bias);
- };
-
- [[maybe_unused]] auto m512_hadd256x8 =[m512_hadd128x16_interleave](
- __m512i sum0, __m512i sum1, __m512i sum2, __m512i sum3, __m256i bias) -> __m256i {
-
- __m512i sum = m512_hadd128x16_interleave(sum0, sum1, sum2, sum3);
-
- __m512i indices = _mm512_setr_epi32(
- 0, 4, 8, 12, 2, 6, 10, 14,
- 1, 5, 9, 13, 3, 7, 11, 15);
- sum = _mm512_permutexvar_epi32(indices, sum);
-
- __m256i sum256lo = _mm512_castsi512_si256(sum);
- __m256i sum256hi = _mm512_extracti64x4_epi64(sum, 1);
-
- return _mm256_add_epi32(_mm256_hadd_epi32(sum256lo, sum256hi), bias);
- };
-
- [[maybe_unused]] auto m512_hadd256x16 = [m512_hadd128x16_interleave](
- __m512i sum0, __m512i sum1, __m512i sum2, __m512i sum3,
- __m512i sum4, __m512i sum5, __m512i sum6, __m512i sum7, __m512i bias) -> __m512i {
-
- __m512i suma = m512_hadd128x16_interleave(sum0, sum1, sum2, sum3);
- __m512i sumb = m512_hadd128x16_interleave(sum4, sum5, sum6, sum7);
-
- __m512i indices0 = _mm512_setr_epi64(0, 1, 8, 9, 4, 5, 12, 13);
- __m512i indices1 = _mm512_setr_epi64(2, 3, 10, 11, 6, 7, 14, 15);
- __m512i x = _mm512_add_epi32(
- _mm512_permutex2var_epi64(suma, indices0, sumb),
- _mm512_permutex2var_epi64(suma, indices1, sumb));
-
- __m512i indices = _mm512_setr_epi32(0, 8, 1, 9, 2, 10, 3, 11, 4, 12, 5, 13, 6, 14, 7, 15);
- return _mm512_add_epi32(_mm512_permutexvar_epi32(indices, x), bias);
- };
-
- [[maybe_unused]] auto m512_add_dpbusd_epi32 = [=](__m512i& acc, __m512i a, __m512i b) {
-#if defined (USE_VNNI)
- acc = _mm512_dpbusd_epi32(acc, a, b);
-#else
- __m512i product0 = _mm512_maddubs_epi16(a, b);
- product0 = _mm512_madd_epi16(product0, kOnes512);
- acc = _mm512_add_epi32(acc, product0);
-#endif
- };
-
-#endif
-#if defined (USE_AVX2)
-
- [[maybe_unused]] const __m256i kOnes256 = _mm256_set1_epi16(1);
-
- [[maybe_unused]] auto m256_hadd = [](__m256i sum, int bias) -> int {
- __m128i sum128 = _mm_add_epi32(_mm256_castsi256_si128(sum), _mm256_extracti128_si256(sum, 1));
- sum128 = _mm_add_epi32(sum128, _mm_shuffle_epi32(sum128, _MM_PERM_BADC));
- sum128 = _mm_add_epi32(sum128, _mm_shuffle_epi32(sum128, _MM_PERM_CDAB));
- return _mm_cvtsi128_si32(sum128) + bias;
- };
-
- [[maybe_unused]] auto m256_haddx4 = [](__m256i sum0, __m256i sum1, __m256i sum2, __m256i sum3, __m128i bias) -> __m128i {
- sum0 = _mm256_hadd_epi32(sum0, sum1);
- sum2 = _mm256_hadd_epi32(sum2, sum3);
-
- sum0 = _mm256_hadd_epi32(sum0, sum2);
-
- __m128i sum128lo = _mm256_castsi256_si128(sum0);
- __m128i sum128hi = _mm256_extracti128_si256(sum0, 1);
-
- return _mm_add_epi32(_mm_add_epi32(sum128lo, sum128hi), bias);
- };
-
- [[maybe_unused]] auto m256_add_dpbusd_epi32 = [=](__m256i& acc, __m256i a, __m256i b) {
-#if defined (USE_VNNI)
- acc = _mm256_dpbusd_epi32(acc, a, b);
-#else
- __m256i product0 = _mm256_maddubs_epi16(a, b);
- product0 = _mm256_madd_epi16(product0, kOnes256);
- acc = _mm256_add_epi32(acc, product0);
-#endif
- };
-
-#endif
-
-#if defined (USE_SSSE3)
-
- [[maybe_unused]] const __m128i kOnes128 = _mm_set1_epi16(1);
-
- [[maybe_unused]] auto m128_hadd = [](__m128i sum, int bias) -> int {
- sum = _mm_add_epi32(sum, _mm_shuffle_epi32(sum, 0x4E)); //_MM_PERM_BADC
- sum = _mm_add_epi32(sum, _mm_shuffle_epi32(sum, 0xB1)); //_MM_PERM_CDAB
- return _mm_cvtsi128_si32(sum) + bias;
- };