| #ifndef EIGEN_MATRIX_PRODUCT_MMA_BFLOAT16_ALTIVEC_H |
| #define EIGEN_MATRIX_PRODUCT_MMA_BFLOAT16_ALTIVEC_H |
| |
| #if EIGEN_COMP_LLVM |
| #define BFLOAT16_UNROLL _Pragma("unroll 8") |
| #else |
| #define BFLOAT16_UNROLL _Pragma("GCC unroll(8)") |
| #endif |
| |
| namespace Eigen { |
| |
| namespace internal { |
| |
| template <bool zero> |
| EIGEN_ALWAYS_INLINE Packet8bf loadBfloat16(const bfloat16* indexA) { |
| Packet8bf lhs1 = ploadu<Packet8bf>(indexA); |
| if (zero) { |
| Packet8bf lhs2 = pset1<Packet8bf>(Eigen::bfloat16(0)); |
| return vec_mergeh(lhs1.m_val, lhs2.m_val); |
| } else { |
| return lhs1; |
| } |
| } |
| |
| template <bool zero> |
| EIGEN_ALWAYS_INLINE Packet8bf loadRhsBfloat16(const bfloat16* blockB, Index strideB, Index i) { |
| return loadBfloat16<zero>(blockB + strideB * i); |
| } |
| |
| template <Index num_acc, Index num_packets, bool zero, bool rhsExtraCols, bool lhsExtraRows, Index num_rhs, |
| Index num_lhs> |
| EIGEN_ALWAYS_INLINE void KLoop(const bfloat16* indexA, const bfloat16* indexB, __vector_quad (&quad_acc)[num_acc], |
| Index strideB, Index k, Index offsetB, Index extra_cols, Index extra_rows) { |
| Packet8bf lhs[num_lhs], rhs[num_rhs]; |
| |
| BFLOAT16_UNROLL |
| for (Index i = 0; i < (num_rhs - (rhsExtraCols ? 1 : 0)); i++) { |
| rhs[i] = loadRhsBfloat16<zero>(indexB + k * 4, strideB, i); |
| } |
| if (rhsExtraCols) { |
| rhs[num_rhs - 1] = loadRhsBfloat16<zero>(indexB + k * extra_cols - offsetB, strideB, num_rhs - 1); |
| } |
| |
| indexA += k * (lhsExtraRows ? extra_rows : num_packets); |
| if (num_lhs == 1) { |
| lhs[0] = loadBfloat16<zero>(indexA); |
| } else { |
| BFLOAT16_UNROLL |
| for (Index j = 0; j < num_lhs; j += 2) { |
| Packet8bf lhs1 = ploadu<Packet8bf>(indexA + (j + 0) * (zero ? 4 : 8)); |
| if (zero) { |
| Packet8bf lhs2 = pset1<Packet8bf>(Eigen::bfloat16(0)); |
| lhs[j + 0] = vec_mergeh(lhs1.m_val, lhs2.m_val); |
| lhs[j + 1] = vec_mergel(lhs1.m_val, lhs2.m_val); |
| } else { |
| lhs[j + 0] = lhs1; |
| lhs[j + 1] = ploadu<Packet8bf>(indexA + (j + 1) * 8); |
| } |
| } |
| } |
| |
| BFLOAT16_UNROLL |
| for (Index i = 0, x = 0; i < num_rhs; i++) { |
| BFLOAT16_UNROLL |
| for (Index j = 0; j < num_lhs; j++, x++) { |
| __builtin_mma_xvbf16ger2pp(&(quad_acc[x]), reinterpret_cast<Packet16uc>(rhs[i].m_val), |
| reinterpret_cast<Packet16uc>(lhs[j].m_val)); |
| } |
| } |
| } |
| |
| template <Index num_acc> |
| EIGEN_ALWAYS_INLINE void zeroAccumulators(__vector_quad (&quad_acc)[num_acc]) { |
| BFLOAT16_UNROLL |
| for (Index k = 0; k < num_acc; k++) __builtin_mma_xxsetaccz(&(quad_acc[k])); |
| } |
| |
| template <Index num_acc> |
| EIGEN_ALWAYS_INLINE void disassembleAccumulators(__vector_quad (&quad_acc)[num_acc], Packet4f (&acc)[num_acc][4]) { |
| BFLOAT16_UNROLL |
| for (Index k = 0; k < num_acc; k++) __builtin_mma_disassemble_acc((void*)acc[k], &(quad_acc[k])); |
| } |
| |
| template <Index num_acc, bool rhsExtraCols, bool lhsExtraRows, Index num_rhs, Index num_lhs> |
| EIGEN_ALWAYS_INLINE void outputResults(Packet4f (&acc)[num_acc][4], Index rows, const Packet4f pAlpha, float* result, |
| const Index extra_cols, Index extra_rows) { |
| BFLOAT16_UNROLL |
| for (Index i = 0, k = 0; i < num_rhs - (rhsExtraCols ? 1 : 0); i++, result += 4 * rows) { |
| BFLOAT16_UNROLL |
| for (Index j = 0; j < num_lhs; j++, k++) { |
| storeResults<false, lhsExtraRows>(acc[k], rows, pAlpha, result + j * 4, extra_cols, extra_rows); |
| } |
| } |
| if (rhsExtraCols) { |
| storeResults<rhsExtraCols, lhsExtraRows>(acc[num_acc - 1], rows, pAlpha, result, extra_cols, extra_rows); |
| } |
| } |
| |
| template <const Index num_acc, const Index num_packets, bool rhsExtraCols, bool lhsExtraRows, bool multiIter = false> |
| EIGEN_ALWAYS_INLINE void colLoopBodyIter(Index depth, Index rows, const Packet4f pAlpha, const bfloat16* indexA, |
| const bfloat16* indexB, Index strideB, Index offsetB, float* result, |
| const Index extra_cols, const Index extra_rows) { |
| constexpr Index num_lhs = multiIter ? (num_packets / 4) : 1; |
| constexpr Index num_rhs = (num_acc + num_lhs - 1) / num_lhs; |
| |
| for (Index offset_row = 0; offset_row < num_packets; offset_row += 4, indexA += (multiIter ? 0 : 8), |
| indexB += (multiIter ? (num_rhs * strideB) : 0), result += (multiIter ? (4 * rows * num_rhs) : 4)) { |
| Packet4f acc[num_acc][4]; |
| __vector_quad quad_acc[num_acc]; |
| |
| zeroAccumulators<num_acc>(quad_acc); |
| |
| Index k; |
| for (k = 0; k + 2 <= depth; k += 2) { |
| KLoop<num_acc, num_packets, false, rhsExtraCols, lhsExtraRows, num_rhs, num_lhs>( |
| indexA, indexB, quad_acc, strideB, k, offsetB, extra_cols, extra_rows); |
| } |
| if (depth & 1) { |
| KLoop<num_acc, num_packets, true, rhsExtraCols, lhsExtraRows, num_rhs, num_lhs>( |
| indexA - (multiIter ? 0 : offset_row), indexB, quad_acc, strideB, k, offsetB, extra_cols, extra_rows); |
| } |
| |
| disassembleAccumulators<num_acc>(quad_acc, acc); |
| |
| outputResults<num_acc, rhsExtraCols, lhsExtraRows, num_rhs, num_lhs>(acc, rows, pAlpha, result, extra_cols, |
| extra_rows); |
| } |
| } |
| |
| #define MAX_BFLOAT16_ACC 8 |
| |
| template <const Index num_acc, const Index num_packets, bool rhsExtraCols, bool lhsExtraRows> |
| void colLoopBody(Index& col, Index depth, Index cols, Index rows, const Packet4f pAlpha, const bfloat16* indexA, |
| const bfloat16* indexB, Index strideB, Index offsetB, float* result) { |
| constexpr Index step = (num_acc * 4); // each accumulator has 4 elements |
| const Index extra_cols = (rhsExtraCols) ? (cols & 3) : 0; |
| const Index extra_rows = (lhsExtraRows) ? (rows & 3) : 0; |
| constexpr bool multiIters = !rhsExtraCols && (num_acc == MAX_BFLOAT16_ACC); |
| constexpr bool normIters = multiIters && ((num_acc % (num_packets / 4)) == 0); |
| |
| do { |
| colLoopBodyIter<num_acc, num_packets, rhsExtraCols, lhsExtraRows, normIters>( |
| depth, rows, pAlpha, indexA, indexB, strideB, offsetB, result, extra_cols, extra_rows); |
| |
| indexB += strideB * num_acc; |
| result += rows * step; |
| } while (multiIters && (step <= cols - (col += step))); |
| } |
| |
| template <const Index num_acc, const Index num_packets, bool rhsExtraCols, bool lhsExtraRows> |
| EIGEN_ALWAYS_INLINE void colLoopBodyExtraN(Index col, Index depth, Index cols, Index rows, const Packet4f pAlpha, |
| const bfloat16* indexA, const bfloat16* blockB, Index strideB, Index offsetB, |
| float* result) { |
| if (MAX_BFLOAT16_ACC > num_acc) { |
| colLoopBody<num_acc + (rhsExtraCols ? 1 : 0), num_packets, rhsExtraCols, lhsExtraRows>( |
| col, depth, cols, rows, pAlpha, indexA, blockB, strideB, offsetB, result); |
| } |
| } |
| |
| template <const Index num_packets, bool rhsExtraCols, bool lhsExtraRows> |
| void colLoopBodyExtra(Index col, Index depth, Index cols, Index rows, const Packet4f pAlpha, const bfloat16* indexA, |
| const bfloat16* blockB, Index strideB, Index offsetB, float* result) { |
| switch ((cols - col) >> 2) { |
| case 7: |
| colLoopBodyExtraN<7, num_packets, rhsExtraCols, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, |
| strideB, offsetB, result); |
| break; |
| case 6: |
| colLoopBodyExtraN<6, num_packets, rhsExtraCols, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, |
| strideB, offsetB, result); |
| break; |
| case 5: |
| colLoopBodyExtraN<5, num_packets, rhsExtraCols, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, |
| strideB, offsetB, result); |
| break; |
| case 4: |
| colLoopBodyExtraN<4, num_packets, rhsExtraCols, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, |
| strideB, offsetB, result); |
| break; |
| case 3: |
| colLoopBodyExtraN<3, num_packets, rhsExtraCols, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, |
| strideB, offsetB, result); |
| break; |
| case 2: |
| colLoopBodyExtraN<2, num_packets, rhsExtraCols, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, |
| strideB, offsetB, result); |
| break; |
| case 1: |
| colLoopBodyExtraN<1, num_packets, rhsExtraCols, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, |
| strideB, offsetB, result); |
| break; |
| default: |
| if (rhsExtraCols) { |
| colLoopBody<1, num_packets, true, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, strideB, |
| offsetB, result); |
| } |
| break; |
| } |
| } |
| |
| template <const Index num_packets, bool lhsExtraRows = false> |
| EIGEN_ALWAYS_INLINE void colLoops(Index depth, Index cols, Index rows, const Packet4f pAlpha, const bfloat16* indexA, |
| const bfloat16* blockB, Index strideB, Index offsetB, float* result) { |
| Index col = 0; |
| if (cols >= (MAX_BFLOAT16_ACC * 4)) { |
| colLoopBody<MAX_BFLOAT16_ACC, num_packets, false, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, |
| strideB, 0, result); |
| blockB += (strideB >> 2) * col; |
| result += rows * col; |
| } |
| if (cols & 3) { |
| colLoopBodyExtra<num_packets, true, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, strideB, offsetB, |
| result); |
| } else { |
| colLoopBodyExtra<num_packets, false, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, strideB, 0, |
| result); |
| } |
| } |
| |
| EIGEN_ALWAYS_INLINE Packet8bf convertF32toBF16(const float* res) { |
| Packet16uc fp16[2]; |
| __vector_pair fp16_vp = *reinterpret_cast<__vector_pair*>(const_cast<float*>(res)); |
| __builtin_vsx_disassemble_pair(reinterpret_cast<void*>(fp16), &fp16_vp); |
| fp16[0] = __builtin_vsx_xvcvspbf16(fp16[0]); |
| fp16[1] = __builtin_vsx_xvcvspbf16(fp16[1]); |
| return vec_pack(reinterpret_cast<Packet4ui>(fp16[0]), reinterpret_cast<Packet4ui>(fp16[1])); |
| } |
| |
| template <typename DataMapper, const Index size> |
| EIGEN_ALWAYS_INLINE void convertArrayF32toBF16Col(float* result, Index col, Index rows, const DataMapper& res) { |
| const DataMapper res2 = res.getSubMapper(0, col); |
| Index row; |
| float* result2 = result + col * rows; |
| for (row = 0; row + 8 <= rows; row += 8, result2 += 8) { |
| // get and save block |
| PacketBlock<Packet8bf, size> block; |
| BFLOAT16_UNROLL |
| for (Index j = 0; j < size; j++) { |
| block.packet[j] = convertF32toBF16(result2 + j * rows); |
| } |
| res2.template storePacketBlock<Packet8bf, size>(row, 0, block); |
| } |
| // extra rows |
| if (row < rows) { |
| BFLOAT16_UNROLL |
| for (Index j = 0; j < size; j++) { |
| Packet8bf fp16 = convertF32toBF16(result2 + j * rows); |
| res2.template storePacketPartial<Packet8bf>(row, j, fp16, rows & 7); |
| } |
| } |
| } |
| |
| template <const Index size, bool non_unit_stride = false> |
| EIGEN_ALWAYS_INLINE void convertPointerF32toBF16(Index& i, float* result, Index rows, bfloat16*& dst, |
| Index resInc = 1) { |
| constexpr Index extra = ((size < 8) ? 8 : size); |
| while (i + size <= rows) { |
| PacketBlock<Packet8bf, (size + 7) / 8> r32; |
| r32.packet[0] = convertF32toBF16(result + i + 0); |
| if (size >= 16) { |
| r32.packet[1] = convertF32toBF16(result + i + 8); |
| } |
| if (size >= 32) { |
| r32.packet[2] = convertF32toBF16(result + i + 16); |
| r32.packet[3] = convertF32toBF16(result + i + 24); |
| } |
| storeBF16fromResult<size, non_unit_stride, 0>(dst, r32.packet[0], resInc, rows & 7); |
| if (size >= 16) { |
| storeBF16fromResult<size, non_unit_stride, 8>(dst, r32.packet[1], resInc); |
| } |
| if (size >= 32) { |
| storeBF16fromResult<size, non_unit_stride, 16>(dst, r32.packet[2], resInc); |
| storeBF16fromResult<size, non_unit_stride, 24>(dst, r32.packet[3], resInc); |
| } |
| i += extra; |
| dst += extra * resInc; |
| if (size != 32) break; |
| } |
| } |
| |
| template <bool non_unit_stride = false> |
| EIGEN_ALWAYS_INLINE void convertArrayPointerF32toBF16(float* result, Index rows, bfloat16* dst, Index resInc = 1) { |
| Index i = 0; |
| convertPointerF32toBF16<32, non_unit_stride>(i, result, rows, dst, resInc); |
| convertPointerF32toBF16<16, non_unit_stride>(i, result, rows, dst, resInc); |
| convertPointerF32toBF16<8, non_unit_stride>(i, result, rows, dst, resInc); |
| convertPointerF32toBF16<1, non_unit_stride>(i, result, rows, dst, resInc); |
| } |
| |
| template <typename DataMapper> |
| EIGEN_ALWAYS_INLINE void convertArrayF32toBF16(float* result, Index cols, Index rows, const DataMapper& res) { |
| Index col; |
| for (col = 0; col + 4 <= cols; col += 4) { |
| convertArrayF32toBF16Col<DataMapper, 4>(result, col, rows, res); |
| } |
| // extra cols |
| switch (cols - col) { |
| case 1: |
| convertArrayF32toBF16Col<DataMapper, 1>(result, col, rows, res); |
| break; |
| case 2: |
| convertArrayF32toBF16Col<DataMapper, 2>(result, col, rows, res); |
| break; |
| case 3: |
| convertArrayF32toBF16Col<DataMapper, 3>(result, col, rows, res); |
| break; |
| } |
| } |
| |
| template <Index size> |
| EIGEN_ALWAYS_INLINE void calcColLoops(const bfloat16*& indexA, Index& row, Index depth, Index cols, Index rows, |
| const Packet4f pAlpha, const bfloat16* indexB, Index strideB, Index offsetA, |
| Index offsetB, Index bigSuffix, float* result) { |
| if ((size == 16) || (rows & size)) { |
| indexA += size * offsetA; |
| colLoops<size>(depth, cols, rows, pAlpha, indexA, indexB, strideB, offsetB, result + row); |
| row += size; |
| indexA += bigSuffix * size / 16; |
| } |
| } |
| |
| template <typename DataMapper> |
| void gemmMMAbfloat16(const DataMapper& res, const bfloat16* indexA, const bfloat16* indexB, Index rows, Index depth, |
| Index cols, bfloat16 alpha, Index strideA, Index strideB, Index offsetA, Index offsetB) { |
| float falpha = Eigen::bfloat16_impl::bfloat16_to_float(alpha); |
| const Packet4f pAlpha = pset1<Packet4f>(falpha); |
| ei_declare_aligned_stack_constructed_variable(float, result, cols* rows, 0); |
| |
| convertArrayBF16toF32<DataMapper>(result, cols, rows, res); |
| |
| if (strideA == -1) strideA = depth; |
| if (strideB == -1) strideB = depth; |
| // Packing is done in blocks. |
| // There's 4 possible sizes of blocks |
| // Blocks of 8 columns with 16 elements (8x16) |
| // Blocks of 8 columns with 8 elements (8x8). This happens when there's 16 > rows >= 8 |
| // Blocks of 8 columns with 4 elements (8x4). This happens when there's 8 > rows >= 4 |
| // Blocks of 8 columns with < 4 elements. This happens when there's less than 4 remaining rows |
| |
| // Loop for LHS standard block (8x16) |
| Index bigSuffix = (2 * 8) * (strideA - offsetA); |
| indexB += 4 * offsetB; |
| strideB *= 4; |
| offsetB *= 3; |
| |
| Index row = 0; |
| while (row + 16 <= rows) { |
| calcColLoops<16>(indexA, row, depth, cols, rows, pAlpha, indexB, strideB, offsetA, offsetB, bigSuffix, result); |
| } |
| // LHS (8x8) block |
| calcColLoops<8>(indexA, row, depth, cols, rows, pAlpha, indexB, strideB, offsetA, offsetB, bigSuffix, result); |
| // LHS (8x4) block |
| calcColLoops<4>(indexA, row, depth, cols, rows, pAlpha, indexB, strideB, offsetA, offsetB, bigSuffix, result); |
| // extra rows |
| if (rows & 3) { |
| // This index is the beginning of remaining block. |
| colLoops<4, true>(depth, cols, rows, pAlpha, indexA, indexB, strideB, offsetB, result + row); |
| } |
| |
| // Convert back to bfloat16 |
| convertArrayF32toBF16<DataMapper>(result, cols, rows, res); |
| } |
| |
| #undef MAX_BFLOAT16_ACC |
| |
| #if !EIGEN_ALTIVEC_DISABLE_MMA |
| template <Index num_acc, typename LhsMapper, bool zero> |
| EIGEN_ALWAYS_INLINE void loadVecLoop(Index k, LhsMapper& lhs, Packet8bf (&a0)[num_acc], Packet8bf b1) { |
| a0[k + 0] = lhs.template loadPacket<Packet8bf>(k * 4, 0); |
| if (!zero) { |
| b1 = lhs.template loadPacket<Packet8bf>(k * 4, 1); |
| } |
| if (num_acc > (k + 1)) { |
| a0[k + 1] = vec_mergel(a0[k + 0].m_val, b1.m_val); |
| } |
| a0[k + 0] = vec_mergeh(a0[k + 0].m_val, b1.m_val); |
| } |
| |
| template <Index num_acc> |
| EIGEN_ALWAYS_INLINE void multVec(__vector_quad (&quad_acc)[num_acc], Packet8bf (&a0)[num_acc], Packet8bf b0) { |
| BFLOAT16_UNROLL |
| for (Index k = 0; k < num_acc; k++) { |
| __builtin_mma_xvbf16ger2pp(&(quad_acc[k]), reinterpret_cast<Packet16uc>(b0.m_val), |
| reinterpret_cast<Packet16uc>(a0[k].m_val)); |
| } |
| } |
| |
| template <Index num_acc, typename LhsMapper, typename RhsMapper, bool zero, bool linear> |
| EIGEN_ALWAYS_INLINE void vecColLoop(Index j, LhsMapper& lhs, RhsMapper& rhs, __vector_quad (&quad_acc)[num_acc]) { |
| Packet8bf a0[num_acc]; |
| Packet8bf b1 = pset1<Packet8bf>(Eigen::bfloat16(0)); |
| Packet8bf b0 = loadColData<RhsMapper, linear>(rhs, j); |
| |
| if (zero) { |
| b0 = vec_mergeh(b0.m_val, b1.m_val); |
| } |
| |
| using LhsSubMapper = typename LhsMapper::SubMapper; |
| |
| LhsSubMapper lhs2 = lhs.getSubMapper(0, j); |
| BFLOAT16_UNROLL |
| for (Index k = 0; k < num_acc; k += 2) { |
| loadVecLoop<num_acc, LhsSubMapper, zero>(k, lhs2, a0, b1); |
| } |
| |
| multVec<num_acc>(quad_acc, a0, b0); |
| } |
| |
| #define MAX_BFLOAT16_VEC_ACC 8 |
| |
| template <const Index num_acc, typename LhsMapper, typename RhsMapper, bool extraRows, bool linear> |
| void colVecColLoopBody(Index& row, Index cend, Index rows, LhsMapper& lhs, RhsMapper& rhs, const Packet4f pAlpha, |
| float* result) { |
| constexpr Index step = (num_acc * 4); |
| const Index extra_rows = (extraRows) ? (rows & 3) : 0; |
| constexpr bool multiIters = !extraRows && (num_acc == MAX_BFLOAT16_VEC_ACC); |
| |
| do { |
| Packet4f acc[num_acc][4]; |
| __vector_quad quad_acc[num_acc]; |
| |
| zeroAccumulators<num_acc>(quad_acc); |
| |
| using LhsSubMapper = typename LhsMapper::SubMapper; |
| |
| LhsSubMapper lhs2 = lhs.getSubMapper(row, 0); |
| for (Index j = 0; j + 2 <= cend; j += 2) { |
| vecColLoop<num_acc, LhsSubMapper, RhsMapper, false, linear>(j, lhs2, rhs, quad_acc); |
| } |
| if (cend & 1) { |
| vecColLoop<num_acc, LhsSubMapper, RhsMapper, true, linear>(cend - 1, lhs2, rhs, quad_acc); |
| } |
| |
| disassembleAccumulators<num_acc>(quad_acc, acc); |
| |
| outputVecColResults<num_acc, extraRows>(acc, result, pAlpha, extra_rows); |
| |
| result += step; |
| } while (multiIters && (step <= rows - (row += step))); |
| } |
| |
| template <const Index num_acc, typename LhsMapper, typename RhsMapper, bool extraRows, bool linear> |
| EIGEN_ALWAYS_INLINE void colVecColLoopBodyExtraN(Index& row, Index cend, Index rows, LhsMapper& lhs, RhsMapper& rhs, |
| const Packet4f pAlpha, float* result) { |
| if (MAX_BFLOAT16_VEC_ACC > num_acc) { |
| colVecColLoopBody<num_acc + (extraRows ? 1 : 0), LhsMapper, RhsMapper, extraRows, linear>(row, cend, rows, lhs, rhs, |
| pAlpha, result); |
| } |
| } |
| |
| template <typename LhsMapper, typename RhsMapper, bool extraRows, bool linear> |
| EIGEN_ALWAYS_INLINE void colVecColLoopBodyExtra(Index& row, Index cend, Index rows, LhsMapper& lhs, RhsMapper& rhs, |
| const Packet4f pAlpha, float* result) { |
| switch ((rows - row) >> 2) { |
| case 7: |
| colVecColLoopBodyExtraN<7, LhsMapper, RhsMapper, extraRows, linear>(row, cend, rows, lhs, rhs, pAlpha, result); |
| break; |
| case 6: |
| colVecColLoopBodyExtraN<6, LhsMapper, RhsMapper, extraRows, linear>(row, cend, rows, lhs, rhs, pAlpha, result); |
| break; |
| case 5: |
| colVecColLoopBodyExtraN<5, LhsMapper, RhsMapper, extraRows, linear>(row, cend, rows, lhs, rhs, pAlpha, result); |
| break; |
| case 4: |
| colVecColLoopBodyExtraN<4, LhsMapper, RhsMapper, extraRows, linear>(row, cend, rows, lhs, rhs, pAlpha, result); |
| break; |
| case 3: |
| colVecColLoopBodyExtraN<3, LhsMapper, RhsMapper, extraRows, linear>(row, cend, rows, lhs, rhs, pAlpha, result); |
| break; |
| case 2: |
| colVecColLoopBodyExtraN<2, LhsMapper, RhsMapper, extraRows, linear>(row, cend, rows, lhs, rhs, pAlpha, result); |
| break; |
| case 1: |
| colVecColLoopBodyExtraN<1, LhsMapper, RhsMapper, extraRows, linear>(row, cend, rows, lhs, rhs, pAlpha, result); |
| break; |
| default: |
| if (extraRows) { |
| colVecColLoopBody<1, LhsMapper, RhsMapper, true, linear>(row, cend, rows, lhs, rhs, pAlpha, result); |
| } |
| break; |
| } |
| } |
| |
| template <typename LhsMapper, typename RhsMapper, bool linear> |
| EIGEN_ALWAYS_INLINE void calcVecColLoops(Index cend, Index rows, LhsMapper& lhs, RhsMapper& rhs, const Packet4f pAlpha, |
| float* result) { |
| Index row = 0; |
| if (rows >= (MAX_BFLOAT16_VEC_ACC * 4)) { |
| colVecColLoopBody<MAX_BFLOAT16_VEC_ACC, LhsMapper, RhsMapper, false, linear>(row, cend, rows, lhs, rhs, pAlpha, |
| result); |
| result += row; |
| } |
| if (rows & 3) { |
| colVecColLoopBodyExtra<LhsMapper, RhsMapper, true, linear>(row, cend, rows, lhs, rhs, pAlpha, result); |
| } else { |
| colVecColLoopBodyExtra<LhsMapper, RhsMapper, false, linear>(row, cend, rows, lhs, rhs, pAlpha, result); |
| } |
| } |
| |
| template <typename RhsMapper, typename LhsMapper, typename = void> |
| struct UseMMAStride : std::false_type { |
| static EIGEN_ALWAYS_INLINE void run(Index j2, Index jend, Index rows, LhsMapper& lhs, RhsMapper& rhs, Packet4f pAlpha, |
| float* result) { |
| using RhsSubMapper = typename RhsMapper::SubMapper; |
| |
| RhsSubMapper rhs2 = rhs.getSubMapper(j2, 0); |
| calcVecColLoops<LhsMapper, RhsSubMapper, false>(jend - j2, rows, lhs, rhs2, pAlpha, result); |
| } |
| }; |
| |
| template <typename RhsMapper, typename LhsMapper> |
| struct UseMMAStride<RhsMapper, LhsMapper, |
| std::enable_if_t<std::is_member_function_pointer<decltype(&RhsMapper::stride)>::value>> |
| : std::true_type { |
| static EIGEN_ALWAYS_INLINE void run(Index j2, Index jend, Index rows, LhsMapper& lhs, RhsMapper& rhs, Packet4f pAlpha, |
| float* result) { |
| using RhsSubMapper = typename RhsMapper::SubMapper; |
| |
| RhsSubMapper rhs2 = rhs.getSubMapper(j2, 0); |
| if (rhs.stride() == 1) { |
| calcVecColLoops<LhsMapper, RhsSubMapper, true>(jend - j2, rows, lhs, rhs2, pAlpha, result); |
| } else { |
| calcVecColLoops<LhsMapper, RhsSubMapper, false>(jend - j2, rows, lhs, rhs2, pAlpha, result); |
| } |
| } |
| }; |
| |
| template <typename LhsMapper, typename RhsMapper> |
| void gemvMMA_bfloat16_col(Index rows, Index cols, const LhsMapper& alhs, const RhsMapper& rhs, bfloat16* res, |
| Index resIncr, bfloat16 alpha) { |
| EIGEN_UNUSED_VARIABLE(resIncr); |
| eigen_internal_assert(resIncr == 1); |
| |
| // The following copy tells the compiler that lhs's attributes are not modified outside this function |
| // This helps GCC to generate proper code. |
| LhsMapper lhs(alhs); |
| RhsMapper rhs2(rhs); |
| |
| const Index lhsStride = lhs.stride(); |
| |
| // TODO: improve the following heuristic: |
| const Index block_cols = cols < 128 ? cols : (lhsStride * sizeof(bfloat16) < 16000 ? 16 : 8); |
| float falpha = Eigen::bfloat16_impl::bfloat16_to_float(alpha); |
| Packet4f pAlpha = pset1<Packet4f>(falpha); |
| |
| ei_declare_aligned_stack_constructed_variable(float, result, rows, 0); |
| |
| convertArrayPointerBF16toF32(result, 1, rows, res); |
| |
| for (Index j2 = 0; j2 < cols; j2 += block_cols) { |
| Index jend = numext::mini(j2 + block_cols, cols); |
| |
| using LhsSubMapper = typename LhsMapper::SubMapper; |
| |
| LhsSubMapper lhs2 = lhs.getSubMapper(0, j2); |
| UseMMAStride<RhsMapper, LhsSubMapper>::run(j2, jend, rows, lhs2, rhs2, pAlpha, result); |
| } |
| |
| convertArrayPointerF32toBF16(result, rows, res); |
| } |
| |
| static Packet16uc p16uc_ELEMENT_VEC3 = {0x0c, 0x0d, 0x0e, 0x0f, 0x1c, 0x1d, 0x1e, 0x1f, |
| 0x0c, 0x0d, 0x0e, 0x0f, 0x1c, 0x1d, 0x1e, 0x1f}; |
| |
| template <Index num_acc> |
| EIGEN_ALWAYS_INLINE void preduxVecResults2(Packet4f (&acc)[num_acc][4], Index k) { |
| if (num_acc > (k + 1)) { |
| acc[k][0] = vec_mergeh(acc[k][0], acc[k + 1][0]); |
| acc[k][1] = vec_mergeo(acc[k][1], acc[k + 1][1]); |
| acc[k][2] = vec_mergel(acc[k][2], acc[k + 1][2]); |
| acc[k][3] = vec_perm(acc[k][3], acc[k + 1][3], p16uc_ELEMENT_VEC3); |
| |
| acc[k][0] = (acc[k][0] + acc[k][2]) + (acc[k][1] + acc[k][3]); |
| } else { |
| acc[k][0] = vec_mergeh(acc[k][0], acc[k][1]); |
| acc[k][0] += vec_mergel(acc[k][2], acc[k][3]); |
| #ifdef _BIG_ENDIAN |
| acc[k][0] += vec_sld(acc[k][0], acc[k][0], 12); |
| #else |
| acc[k][0] += vec_sld(acc[k][0], acc[k][0], 4); |
| #endif |
| } |
| } |
| |
| template <Index num_acc> |
| EIGEN_ALWAYS_INLINE void preduxVecResults(Packet4f (&acc)[num_acc][4]) { |
| BFLOAT16_UNROLL |
| for (Index k = 0; k < num_acc; k += 4) { |
| preduxVecResults2<num_acc>(acc, k + 0); |
| if (num_acc > (k + 2)) { |
| preduxVecResults2<num_acc>(acc, k + 2); |
| acc[k + 0][0] = reinterpret_cast<Packet4f>( |
| vec_mergeh(reinterpret_cast<Packet2ul>(acc[k + 0][0]), reinterpret_cast<Packet2ul>(acc[k + 2][0]))); |
| } |
| } |
| } |
| |
| template <Index num_acc, typename LhsMapper, typename RhsMapper, bool extra> |
| EIGEN_ALWAYS_INLINE void multVecLoop(__vector_quad (&quad_acc)[num_acc], const LhsMapper& lhs, RhsMapper& rhs, Index j, |
| Index extra_cols) { |
| Packet8bf a0[num_acc], b0; |
| |
| if (extra) { |
| b0 = rhs.template loadPacketPartial<Packet8bf>(j, extra_cols); |
| } else { |
| b0 = rhs.template loadPacket<Packet8bf>(j); |
| } |
| |
| const LhsMapper lhs2 = lhs.getSubMapper(0, j); |
| BFLOAT16_UNROLL |
| for (Index k = 0; k < num_acc; k++) { |
| if (extra) { |
| a0[k] = lhs2.template loadPacketPartial<Packet8bf>(k, 0, extra_cols); |
| } else { |
| a0[k] = lhs2.template loadPacket<Packet8bf>(k, 0); |
| } |
| } |
| |
| multVec<num_acc>(quad_acc, a0, b0); |
| } |
| |
| template <Index num_acc, typename LhsMapper, typename RhsMapper> |
| EIGEN_ALWAYS_INLINE void vecLoop(Index cols, const LhsMapper& lhs, RhsMapper& rhs, __vector_quad (&quad_acc)[num_acc], |
| Index extra_cols) { |
| Index j = 0; |
| for (; j + 8 <= cols; j += 8) { |
| multVecLoop<num_acc, LhsMapper, RhsMapper, false>(quad_acc, lhs, rhs, j, extra_cols); |
| } |
| |
| if (extra_cols) { |
| multVecLoop<num_acc, LhsMapper, RhsMapper, true>(quad_acc, lhs, rhs, j, extra_cols); |
| } |
| } |
| |
| template <const Index num_acc, typename LhsMapper, typename RhsMapper> |
| void colVecLoopBody(Index& row, Index cols, Index rows, LhsMapper& lhs, RhsMapper& rhs, const Packet4f pAlpha, |
| float* result) { |
| constexpr bool multiIters = (num_acc == MAX_BFLOAT16_VEC_ACC); |
| const Index extra_cols = (cols & 7); |
| |
| do { |
| Packet4f acc[num_acc][4]; |
| __vector_quad quad_acc[num_acc]; |
| |
| zeroAccumulators<num_acc>(quad_acc); |
| |
| const LhsMapper lhs2 = lhs.getSubMapper(row, 0); |
| vecLoop<num_acc, LhsMapper, RhsMapper>(cols, lhs2, rhs, quad_acc, extra_cols); |
| |
| disassembleAccumulators<num_acc>(quad_acc, acc); |
| |
| preduxVecResults<num_acc>(acc); |
| |
| outputVecResults<num_acc>(acc, result, pAlpha); |
| |
| result += num_acc; |
| } while (multiIters && (num_acc <= rows - (row += num_acc))); |
| } |
| |
| template <const Index num_acc, typename LhsMapper, typename RhsMapper> |
| EIGEN_ALWAYS_INLINE void colVecLoopBodyExtraN(Index& row, Index cols, Index rows, LhsMapper& lhs, RhsMapper& rhs, |
| const Packet4f pAlpha, float* result) { |
| if (MAX_BFLOAT16_VEC_ACC > num_acc) { |
| colVecLoopBody<num_acc, LhsMapper, RhsMapper>(row, cols, rows, lhs, rhs, pAlpha, result); |
| } |
| } |
| |
| template <typename LhsMapper, typename RhsMapper> |
| EIGEN_ALWAYS_INLINE void colVecLoopBodyExtra(Index& row, Index cols, Index rows, LhsMapper& lhs, RhsMapper& rhs, |
| const Packet4f pAlpha, float* result) { |
| switch (rows - row) { |
| case 7: |
| colVecLoopBodyExtraN<7, LhsMapper, RhsMapper>(row, cols, rows, lhs, rhs, pAlpha, result); |
| break; |
| case 6: |
| colVecLoopBodyExtraN<6, LhsMapper, RhsMapper>(row, cols, rows, lhs, rhs, pAlpha, result); |
| break; |
| case 5: |
| colVecLoopBodyExtraN<5, LhsMapper, RhsMapper>(row, cols, rows, lhs, rhs, pAlpha, result); |
| break; |
| case 4: |
| colVecLoopBodyExtraN<4, LhsMapper, RhsMapper>(row, cols, rows, lhs, rhs, pAlpha, result); |
| break; |
| case 3: |
| colVecLoopBodyExtraN<3, LhsMapper, RhsMapper>(row, cols, rows, lhs, rhs, pAlpha, result); |
| break; |
| case 2: |
| colVecLoopBodyExtraN<2, LhsMapper, RhsMapper>(row, cols, rows, lhs, rhs, pAlpha, result); |
| break; |
| case 1: |
| colVecLoopBodyExtraN<1, LhsMapper, RhsMapper>(row, cols, rows, lhs, rhs, pAlpha, result); |
| break; |
| } |
| } |
| |
| template <typename LhsMapper, typename RhsMapper> |
| EIGEN_ALWAYS_INLINE void calcVecLoops(Index cols, Index rows, LhsMapper& lhs, RhsMapper& rhs, const Packet4f pAlpha, |
| float* result) { |
| Index row = 0; |
| if (rows >= MAX_BFLOAT16_VEC_ACC) { |
| colVecLoopBody<MAX_BFLOAT16_VEC_ACC, LhsMapper, RhsMapper>(row, cols, rows, lhs, rhs, pAlpha, result); |
| result += row; |
| } |
| colVecLoopBodyExtra<LhsMapper, RhsMapper>(row, cols, rows, lhs, rhs, pAlpha, result); |
| } |
| |
| template <typename LhsMapper, typename RhsMapper> |
| EIGEN_STRONG_INLINE void gemvMMA_bfloat16_row(Index rows, Index cols, const LhsMapper& alhs, const RhsMapper& rhs, |
| bfloat16* res, Index resIncr, bfloat16 alpha) { |
| typedef typename RhsMapper::LinearMapper LinearMapper; |
| |
| // The following copy tells the compiler that lhs's attributes are not modified outside this function |
| // This helps GCC to generate proper code. |
| LhsMapper lhs(alhs); |
| LinearMapper rhs2 = rhs.getLinearMapper(0, 0); |
| |
| eigen_internal_assert(rhs.stride() == 1); |
| |
| float falpha = Eigen::bfloat16_impl::bfloat16_to_float(alpha); |
| const Packet4f pAlpha = pset1<Packet4f>(falpha); |
| |
| ei_declare_aligned_stack_constructed_variable(float, result, rows, 0); |
| if (resIncr == 1) { |
| convertArrayPointerBF16toF32(result, 1, rows, res); |
| } else { |
| convertArrayPointerBF16toF32<true>(result, 1, rows, res, resIncr); |
| } |
| calcVecLoops<LhsMapper, LinearMapper>(cols, rows, lhs, rhs2, pAlpha, result); |
| if (resIncr == 1) { |
| convertArrayPointerF32toBF16(result, rows, res); |
| } else { |
| convertArrayPointerF32toBF16<true>(result, rows, res, resIncr); |
| } |
| } |
| #endif |
| |
| #undef MAX_BFLOAT16_VEC_ACC |
| #undef BFLOAT16_UNROLL |
| |
| } // namespace internal |
| } // namespace Eigen |
| #endif // EIGEN_MATRIX_PRODUCT_MMA_BFLOAT16_ALTIVEC_H |
