AI Engine API User Guide (AIE) 2023.2
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aie Namespace Reference

Base namespace for AIE operations and types. More...

Detailed Description

Base namespace for AIE operations and types.

Namespaces

namespace  detail
 
namespace  operators
 
namespace  sync
 

Classes

class  accum
 Type for vector accumulators. More...
 
struct  arch
 Structure used to represent the AIE architecture being compiled against. More...
 
struct  binary_op
 
struct  binary_op< Parent1, Parent2, Operation::Max >
 
struct  binary_op< Parent1, Parent2, Operation::Min >
 
struct  binary_op< Parent1, Parent2, Operation::Sign >
 
struct  binary_op< Parent1, Parent2, Operation::Zero >
 
struct  binary_op_common
 
struct  is_accum_op
 
struct  is_accum_op< binary_op< Parent1, Parent2, Op > >
 
struct  is_accum_op< unary_op< Parent, Op > >
 
struct  is_binary_op
 
struct  is_binary_op< binary_op< Parent1, Parent2, Op > >
 
struct  is_complex_op
 
struct  is_complex_op< binary_op< Parent1, Parent2, Op > >
 
struct  is_complex_op< unary_op< Parent, Op > >
 
struct  is_elem_op
 
struct  is_elem_op< binary_op< Parent1, Parent2, Op > >
 
struct  is_elem_op< unary_op< Parent, Op > >
 
struct  is_lut
 
struct  is_lut< lut< ParallelAccesses, OffsetType, SlopeType > >
 
struct  is_mmul
 
struct  is_mmul< mmul< M, K, N, TypeA, TypeB, AccumTag > >
 
struct  is_mmul_op
 
struct  is_real_op
 
struct  is_same_vector
 
struct  is_same_vector< detail::unaligned_vector_ref< T1, N, Resource >, vector< T2, N > >
 
struct  is_same_vector< detail::unaligned_vector_ref< T1, N, Resource1 >, detail::unaligned_vector_ref< T2, N, Resource2 > >
 
struct  is_same_vector< detail::unaligned_vector_ref< T1, N, Resource1 >, detail::vector_ref< T2, N, Resource2 > >
 
struct  is_same_vector< detail::vector_ref< T1, N, Resource >, vector< T2, N > >
 
struct  is_same_vector< detail::vector_ref< T1, N, Resource1 >, detail::unaligned_vector_ref< T2, N, Resource2 > >
 
struct  is_same_vector< detail::vector_ref< T1, N, Resource1 >, detail::vector_ref< T2, N, Resource2 > >
 
struct  is_same_vector< vector< T, N >, vector< T, N > >
 
struct  is_same_vector< vector< T1, N >, detail::unaligned_vector_ref< T2, N, Resource > >
 
struct  is_same_vector< vector< T1, N >, detail::vector_ref< T2, N, Resource > >
 
struct  is_unary_op
 
struct  is_unary_op< unary_op< Parent, Op > >
 
struct  is_valid_elem_op
 
struct  is_valid_mul_op
 
struct  is_valid_mul_op< binary_op< Parent1, Parent2, Op >, T2 >
 
struct  is_valid_mul_op< T, binary_op< Parent1, Parent2, Op > >
 
struct  is_valid_mul_op< T, unary_op< Parent, Op > >
 
struct  is_valid_mul_op< unary_op< Parent, Op >, T2 >
 
struct  is_valid_size
 
struct  is_valid_size< T, T2 >
 
struct  is_vector_op
 
struct  is_vector_op< binary_op< Parent1, Parent2, Op > >
 
struct  is_vector_op< unary_op< Parent, Op > >
 
struct  linear_approx
 
struct  lut
 Abstraction to represent a LUT that is stored in memory, instantiated with pointer(s) to the already appropriately populated memory and the number of elements. More...
 
class  mask
 Type for vector element masks. More...
 
struct  mmul
 Type that encapsulates a blocked matrix multiplication C = A x B. More...
 
struct  op_result_helper
 
struct  op_result_helper< binary_op< Parent1, Parent2, ParentOp >, Op >
 
struct  op_result_helper< Parent, Operation::None >
 
struct  op_result_helper< unaligned_vector_ref< T, Elems, Resource >, Op >
 
struct  op_result_helper< unary_op< Parent, ParentOp >, Op >
 
struct  op_result_helper< vector_elem_const_ref< T, Elems >, Op >
 
struct  op_result_helper< vector_elem_ref< T, Elems >, Op >
 
struct  op_result_helper< vector_ref< T, Elems, Resource >, Op >
 
struct  op_value_type_helper
 
struct  op_value_type_helper< binary_op< Parent1, Parent2, Op > >
 
struct  op_value_type_helper< mmul< M, K, N, TypeA, TypeB, AccumTag > >
 
struct  op_value_type_helper< unaligned_vector_ref< T, Elems, Resource > >
 
struct  op_value_type_helper< unary_op< Parent, Op > >
 
struct  op_value_type_helper< vector< T, Elems > >
 
struct  op_value_type_helper< vector_elem_const_ref< T, Elems > >
 
struct  op_value_type_helper< vector_elem_ref< T, Elems > >
 
struct  op_value_type_helper< vector_ref< T, Elems, Resource > >
 
struct  operand_base_type
 
struct  operand_base_type< binary_op< Parent1, Parent2, Op > >
 
struct  operand_base_type< unary_op< Parent, Op > >
 
struct  operand_base_type< vector_elem_const_ref< T, Elems > >
 
struct  operand_base_type< vector_elem_ref< T, Elems > >
 
struct  parallel_lookup
 
struct  result_type_helper
 
struct  result_type_helper< T >
 
struct  sliding_mul_ch_ops
 
struct  sliding_mul_ops
 This type provides a parametrized multiplication that implements the following compute pattern: More...
 
struct  sliding_mul_sym_ops
 
struct  sliding_mul_sym_uct_ops
 
class  tensor_descriptor
 
struct  tensor_dim
 
struct  tlast
 Type used to wrap objects read/written from/to streams that also encapsulates TLAST information. More...
 
struct  unary_op
 
struct  unary_op< Parent, Operation::Abs >
 
struct  unary_op< Parent, Operation::Acc_Add >
 
struct  unary_op< Parent, Operation::Acc_Sub >
 
struct  unary_op< Parent, Operation::Conj >
 
struct  unary_op< Parent, Operation::None >
 
struct  unary_op< Parent, Operation::Transpose >
 
struct  unary_op_common
 
class  vector
 Type for vector registers. More...
 
class  vector_elem_const_ref
 Constant reference to vector element. More...
 
class  vector_elem_ref
 Reference to vector element. More...
 

Typedefs

using AccumClass = detail::AccumClass
 
template<unsigned MinAccumBits, unsigned Elems>
using cfp_accum = accum< detail::accum_tag_t< AccumClass::CFP, detail::to_native_accum_bits< AccumClass::CFP, MinAccumBits >()>, Elems >
 
template<typename T >
using cfr = detail::cfr< T >
 
template<unsigned MinAccumBits, unsigned Elems>
using cint_accum = accum< detail::accum_tag_t< AccumClass::CInt, detail::to_native_accum_bits< AccumClass::CInt, MinAccumBits >()>, Elems >
 
template<typename T , size_t Elems = dynamic_extent, aie_dm_resource Resource = aie_dm_resource::none>
using circular_iterator = detail::circular_iterator< T, Elems, 1, Resource >
 Implements an iterator that wraps around when it reaches the end of the buffer and, thus, has no end.
 
template<typename T , size_t Elems = dynamic_extent, aie_dm_resource Resource = aie_dm_resource::none>
using const_circular_iterator = detail::const_circular_iterator< T, Elems, 1, Resource >
 Same as circular_iterator, but the contents of the iterated array cannot be modified.
 
template<typename T , unsigned Steps>
using const_pattern_iterator = detail::const_pattern_iterator< T, Steps >
 
template<typename T , size_t Elems = dynamic_extent, aie_dm_resource Resource = aie_dm_resource::none>
using const_random_circular_iterator = detail::const_random_circular_iterator< T, Elems, 1, Resource >
 Same as random_circular_iterator, but the contents of the iterated array cannot be modified.
 
template<DecoratedElemBaseType T, unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none>
using const_restrict_vector_iterator = detail::const_restrict_vector_iterator< T, Elems, 1, Resource >
 
template<DecoratedElemBaseType T, unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none>
using const_unaligned_vector_iterator = detail::unaligned_vector_iterator< T, Elems, Resource >
 Same as unaligned_vector_iterator, but the contents of the iterated array cannot be modified.
 
template<typename T , unsigned N, size_t Elems = dynamic_extent, aie_dm_resource Resource = aie_dm_resource::none>
using const_vector_circular_iterator = detail::const_vector_circular_iterator< T, N, Elems, 1, Resource >
 Same as vector_circular_iterator, but the contents of the iterated array cannot be modified.
 
template<DecoratedElemBaseType T, unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none>
using const_vector_iterator = detail::const_vector_iterator< T, Elems, 1, Resource >
 Same as vector_iterator, but the contents of the iterated array cannot be modified.
 
template<typename T , unsigned Elems, size_t ArrayElems = dynamic_extent, aie_dm_resource Resource = aie_dm_resource::none>
using const_vector_random_circular_iterator = detail::const_vector_random_circular_iterator< T, Elems, ArrayElems, 1, Resource >
 Same as vector_random_circular_iterator, but the contents of the iterated array cannot be modified.
 
using dim_2d = detail::dim_2d
 
using dim_3d = detail::dim_3d
 
template<size_t... Extents>
using extents = detail::extents< Extents... >
 
template<unsigned Vectorization, unsigned Radix, typename Input , typename Output = Input, typename Twiddle = detail::default_twiddle_type_t<Input, Output>>
using fft_dit = detail::fft_dit< Vectorization, detail::fft_get_stage< Vectorization, Radix, Input, Output, Twiddle >(), Radix, Input, Output, Twiddle >
 Type that encapsulates the functionality for decimation-in-time FFTs.
 
template<unsigned MinAccumBits, unsigned Elems>
using fp_accum = accum< detail::accum_tag_t< AccumClass::FP, detail::to_native_accum_bits< AccumClass::FP, MinAccumBits >()>, Elems >
 
template<unsigned MinAccumBits, unsigned Elems>
using int_accum = accum< detail::accum_tag_t< AccumClass::Int, detail::to_native_accum_bits< AccumClass::Int, MinAccumBits >()>, Elems >
 
template<typename T , size_t... Extents>
using mdspan = detail::basic_mdspan< T, extents< Extents... >, void, detail::accessor_basic< T > >
 
template<typename T , Operation Op>
using op_result_type_t = typename op_result_helper< T, Op >::type
 
template<typename T >
using op_value_type_t = typename op_value_type_helper< aie_dm_resource_remove_t< T > >::type
 
template<typename T >
using operand_base_type_t = typename operand_base_type< Utils::remove_all_t< T > >::type
 
template<typename T , unsigned Steps>
using pattern_iterator = detail::pattern_iterator< T, Steps >
 
template<typename T , size_t Elems = dynamic_extent, aie_dm_resource Resource = aie_dm_resource::none>
using random_circular_iterator = detail::random_circular_iterator< T, Elems, 1, Resource >
 Implements an iterator that wraps around when it reaches the end or the beginning of the buffer and, thus, has no end.
 
template<typename T , size_t... Extents>
using restrict_mdspan = detail::basic_mdspan< T, extents< Extents... >, void, detail::accessor_restrict< T > >
 
template<typename T , size_t Extents1 = dynamic_extent>
using restrict_span = restrict_span_1d< T, Extents1 >
 
template<typename T , size_t Extents1 = dynamic_extent>
using restrict_span_1d = restrict_mdspan< T, Extents1 >
 
template<typename T , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent>
using restrict_span_2d = restrict_mdspan< T, Extents1, Extents2 >
 
template<typename T , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent>
using restrict_span_3d = restrict_mdspan< T, Extents1, Extents2, Extents3 >
 
template<typename T , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent, size_t Extents4 = dynamic_extent>
using restrict_span_4d = restrict_mdspan< T, Extents1, Extents2, Extents3, Extents4 >
 
template<typename T , typename TileExtents , size_t... Extents>
using restrict_tiled_mdspan = detail::basic_tiled_mdspan< T, TileExtents, extents< Extents... >, void, detail::accessor_restrict< T > >
 
template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent>
using restrict_tiled_span = tiled_span_1d< T, TileExtents, Extents1 >
 
template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent>
using restrict_tiled_span_1d = tiled_mdspan< T, TileExtents, Extents1 >
 
template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent>
using restrict_tiled_span_2d = tiled_mdspan< T, TileExtents, Extents1, Extents2 >
 
template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent>
using restrict_tiled_span_3d = tiled_mdspan< T, TileExtents, Extents1, Extents2, Extents3 >
 
template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent, size_t Extents4 = dynamic_extent>
using restrict_tiled_span_4d = tiled_mdspan< T, TileExtents, Extents1, Extents2, Extents3, Extents4 >
 
template<DecoratedElemBaseType T, unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none>
using restrict_vector_iterator = detail::restrict_vector_iterator< T, Elems, 1, Resource >
 
template<typename T >
using result_type_t = typename result_type_helper< T >::type
 
template<unsigned Outputs, unsigned Channels, unsigned Points, int CoeffStep, int DataStepX, ElemBaseType CoeffType, ElemBaseType DataType, AccumElemBaseType AccumTag = detail::default_accum_tag_t<CoeffType, DataType>>
using sliding_mul_ch_x_ops = sliding_mul_ch_ops< Outputs, Channels, Points, CoeffStep, DataStepX, 1, CoeffType, DataType, AccumTag >
 
template<unsigned Outputs, unsigned Channels, unsigned Points, int CoeffStep, int DataStep, ElemBaseType CoeffType, ElemBaseType DataType, AccumElemBaseType AccumTag = detail::default_accum_tag_t<CoeffType, DataType>>
using sliding_mul_ch_xy_ops = sliding_mul_ch_ops< Outputs, Channels, Points, CoeffStep, DataStep, DataStep, CoeffType, DataType, AccumTag >
 
template<unsigned Outputs, unsigned Channels, unsigned Points, int CoeffStep, int DataStepY, ElemBaseType CoeffType, ElemBaseType DataType, AccumElemBaseType AccumTag = detail::default_accum_tag_t<CoeffType, DataType>>
using sliding_mul_ch_y_ops = sliding_mul_ch_ops< Outputs, Channels, Points, CoeffStep, 1, DataStepY, CoeffType, DataType, AccumTag >
 
template<unsigned Lanes, unsigned Points, int CoeffStep, int DataStepX, ElemBaseType CoeffType, ElemBaseType DataType, AccumElemBaseType AccumTag = detail::default_accum_tag_t<CoeffType, DataType>>
using sliding_mul_sym_x_ops = sliding_mul_sym_ops< Lanes, Points, CoeffStep, DataStepX, 1, CoeffType, DataType, AccumTag >
 
template<unsigned Lanes, unsigned Points, int CoeffStep, int DataStepXY, ElemBaseType CoeffType, ElemBaseType DataType, AccumElemBaseType AccumTag = detail::default_accum_tag_t<CoeffType, DataType>>
using sliding_mul_sym_xy_ops = sliding_mul_sym_ops< Lanes, Points, CoeffStep, DataStepXY, DataStepXY, CoeffType, DataType, AccumTag >
 
template<unsigned Lanes, unsigned Points, int CoeffStep, int DataStepY, ElemBaseType CoeffType, ElemBaseType DataType, AccumElemBaseType AccumTag = detail::default_accum_tag_t<CoeffType, DataType>>
using sliding_mul_sym_y_ops = sliding_mul_sym_ops< Lanes, Points, CoeffStep, 1, DataStepY, CoeffType, DataType, AccumTag >
 
template<unsigned Lanes, unsigned Points, int CoeffStep, int DataStepX, ElemBaseType CoeffType, ElemBaseType DataType, AccumElemBaseType AccumTag = detail::default_accum_tag_t<CoeffType, DataType>>
using sliding_mul_x_ops = sliding_mul_ops< Lanes, Points, CoeffStep, DataStepX, 1, CoeffType, DataType, AccumTag >
 Similar to sliding_mul_ops, but DataStepY is always 1.
 
template<unsigned Lanes, unsigned Points, int CoeffStep, int DataStepXY, ElemBaseType CoeffType, ElemBaseType DataType, AccumElemBaseType AccumTag = detail::default_accum_tag_t<CoeffType, DataType>>
using sliding_mul_xy_ops = sliding_mul_ops< Lanes, Points, CoeffStep, DataStepXY, DataStepXY, CoeffType, DataType, AccumTag >
 Similar to sliding_mul_ops, but DataStepX is equal to DataStepY.
 
template<unsigned Lanes, unsigned Points, int CoeffStep, int DataStepY, ElemBaseType CoeffType, ElemBaseType DataType, AccumElemBaseType AccumTag = detail::default_accum_tag_t<CoeffType, DataType>>
using sliding_mul_y_ops = sliding_mul_ops< Lanes, Points, CoeffStep, 1, DataStepY, CoeffType, DataType, AccumTag >
 Similar to sliding_mul_ops, but DataStepX is always 1.
 
using sliding_window_dim_1d = detail::sliding_window_dim_1d
 
using sliding_window_dim_2d = detail::sliding_window_dim_2d
 
using sliding_window_dim_3d = detail::sliding_window_dim_3d
 
template<typename T , size_t Extents1 = dynamic_extent>
using span = span_1d< T, Extents1 >
 
template<typename T , size_t Extents1 = dynamic_extent>
using span_1d = mdspan< T, Extents1 >
 
template<typename T , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent>
using span_2d = mdspan< T, Extents1, Extents2 >
 
template<typename T , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent>
using span_3d = mdspan< T, Extents1, Extents2, Extents3 >
 
template<typename T , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent, size_t Extents4 = dynamic_extent>
using span_4d = mdspan< T, Extents1, Extents2, Extents3, Extents4 >
 
template<ElemBaseType T, unsigned Elems = native_vector_length_v<T>>
using sparse_vector = detail::sparse_vector< T, Elems >
 Type for sparse vector registers.
 
template<DecoratedElemBaseType T, unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none>
using sparse_vector_input_buffer_stream = detail::sparse_vector_input_buffer_stream< T, Elems, Resource >
 Implements an input stream that reads sparse vectors from a memory buffer.
 
using tile = detail::tile
 
using tile_id = detail::tile_id
 
template<typename T , typename TileExtents , size_t... Extents>
using tiled_mdspan = detail::basic_tiled_mdspan< T, TileExtents, extents< Extents... >, void, detail::accessor_basic< T > >
 
template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent>
using tiled_span = tiled_span_1d< T, TileExtents, Extents1 >
 
template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent>
using tiled_span_1d = tiled_mdspan< T, TileExtents, Extents1 >
 
template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent>
using tiled_span_2d = tiled_mdspan< T, TileExtents, Extents1, Extents2 >
 
template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent>
using tiled_span_3d = tiled_mdspan< T, TileExtents, Extents1, Extents2, Extents3 >
 
template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent, size_t Extents4 = dynamic_extent>
using tiled_span_4d = tiled_mdspan< T, TileExtents, Extents1, Extents2, Extents3, Extents4 >
 
template<DecoratedElemBaseType T, unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none>
using unaligned_vector_input_buffer_stream = detail::unaligned_vector_input_buffer_stream< T, Elems, Resource >
 Implements an input stream that reads from a memory buffer with vector granularity.
 
template<DecoratedElemBaseType T, unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none>
using unaligned_vector_iterator = detail::unaligned_vector_iterator< T, Elems, Resource >
 Implements an iterator that traverses an array using vectors instead of scalar values.
 
template<DecoratedElemBaseType T, unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none>
using unaligned_vector_output_buffer_stream = detail::unaligned_vector_output_buffer_stream< T, Elems, Resource >
 Implements an output stream that writes into a memory buffer with vector granularity.
 
template<ElemBaseType T, unsigned Elems = native_vector_length_v<T>, aie_dm_resource Resource = aie_dm_resource::none>
using unaligned_vector_ref = detail::unaligned_vector_ref< T, Elems, Resource >
 Type for references to vector registers.
 
template<typename T , unsigned N, size_t Elems = dynamic_extent, aie_dm_resource Resource = aie_dm_resource::none>
using vector_circular_iterator = detail::vector_circular_iterator< T, N, Elems, 1, Resource >
 Implements a vector iterator that wraps around when it reaches the end of the buffer and, thus, has no end.
 
template<DecoratedElemBaseType T, unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none>
using vector_input_buffer_stream = detail::vector_input_buffer_stream< T, Elems, Resource >
 Implements an input stream that reads from a memory buffer with vector granularity.
 
template<DecoratedElemBaseType T, unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none>
using vector_iterator = detail::vector_iterator< T, Elems, 1, Resource >
 Implements an iterator that traverses an array using vectors instead of scalar values.
 
template<DecoratedElemBaseType T, unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none>
using vector_output_buffer_stream = detail::vector_output_buffer_stream< T, Elems, Resource >
 Implements an output stream that writes into a memory buffer with vector granularity.
 
template<typename T , unsigned Elems, size_t ArrayElems = dynamic_extent, aie_dm_resource Resource = aie_dm_resource::none>
using vector_random_circular_iterator = detail::vector_random_circular_iterator< T, Elems, ArrayElems, 1, Resource >
 Implements a vector iterator that wraps around when it reaches the end or the beginning of the buffer and, thus, has no end.
 
template<ElemBaseType T, unsigned Elems = native_vector_length_v<T>, aie_dm_resource Resource = aie_dm_resource::none>
using vector_ref = detail::vector_ref< T, Elems, Resource >
 Type for references to vector registers.
 

Enumerations

enum class  Operation {
  None , Acc_Add , Acc_Sub , Abs ,
  Conj , Transpose , Max , Min ,
  Sign , Zero
}
 

Functions

template<Elem E>
constexpr auto abs (const E &a) -> operand_base_type_t< E >
 Compute the absolute value of a value.
 
template<Vector Vec>
constexpr auto abs (const Vec &v) -> aie_dm_resource_remove_t< Vec >
 Compute the absolute value for each element in the given vector.
 
template<ComplexElem E>
constexpr auto abs_square (const E &v) -> detail::utils::get_complex_component_type_t< operand_base_type_t< E > >
 Compute the absolute square of a scalar complex value.
 
template<typename TR = int32, ComplexVector Vec>
requires (Utils::is_one_of_v<TR, int32, int16>)
constexpr auto abs_square (const Vec &v, int shift=0)
 Compute the absolute square of each element in the given complex vector.
 
template<unsigned Elems>
requires (arch::is(arch::AIE) || (arch::is(arch::AIE_ML) && __AIE_API_COMPLEX_FP32_EMULATION__ == 1))
constexpr vector< float, Elems > abs_square (const vector< cfloat, Elems > &v)
 Compute the absolute square of each element in the given complex vector.
 
template<detail::NativeAccumType T>
 accum (T) -> accum< typename detail::native_accum_traits< T >::value_type, detail::native_accum_traits< T >::elems >
 Template deduction guidelines for aie::accum.
 
template<unsigned Lanes, AccumOrOp Acc, Vector VecCoeff, Vector VecData, Vector... NextVecData>
requires ((is_same_vector_v<VecData, NextVecData> && ...) && Acc::size() == Lanes && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto accumulate (const Acc &acc, const VecCoeff &coeff, unsigned coeff_start, const VecData &data, const NextVecData &...next_data) -> operand_base_type_t< Acc >
 Performs a weighted addition over multiple vectors and accumulates the result into an existing accumulator.
 
template<unsigned Lanes, unsigned CoeffStart = 0, AccumElemBaseType AccumTag = accauto, Vector VecCoeff, Vector VecData, Vector... NextVecData>
auto accumulate (const VecCoeff &coeff, const VecData &data, const NextVecData &...next_data)
 
template<unsigned Lanes, AccumElemBaseType AccumTag = accauto, Vector VecCoeff, Vector VecData, Vector... NextVecData>
requires ((is_same_vector_v<VecData, NextVecData> && ...))
auto accumulate (const VecCoeff &coeff, unsigned coeff_start, const VecData &data, const NextVecData &...next_data) -> accum< detail::accum_tag_or_default_t< AccumTag, typename VecCoeff::value_type, typename VecData::value_type >, Lanes >
 Performs a weighted addition over multiple vectors.
 
template<AccumOrOp Acc, Vector Vec>
requires (Acc::size() == Vec::size())
auto add (const Acc &acc, const Vec &v) -> result_type_t< Acc >
 Returns an accumulator with the element-wise addition of the input accumulator and vector.
 
template<AccumOrOp Acc, Elem E>
auto add (const Acc &acc, E a) -> result_type_t< Acc >
 Returns an accumulator with the addition of a value to all the elements of the input vector.
 
template<AccumOrOp Acc1, AccumOrOp Acc2>
requires (arch::is(arch::AIE_ML) && is_same_accum_v<result_type_t<Acc1>, result_type_t<Acc2>>)
auto add (const Acc1 &acc1, const Acc2 &acc2) -> result_type_t< Acc1 >
 Returns an accumulator with the element-wise addition of the two input accumulators.
 
template<Vector Vec, Elem E>
requires (is_valid_elem_op_v<typename Vec::value_type, E>)
auto add (const Vec &v, E a) -> aie_dm_resource_remove_t< Vec >
 Returns a vector with the addition of a value to all the elements of the input vector.
 
template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto add (const Vec1 &v1, const Vec2 &v2) -> aie_dm_resource_remove_t< Vec1 >
 Returns a vector with the element-wise addition of the two input vectors.
 
template<Elem E, Vector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
auto add (E a, const Vec &v) -> aie_dm_resource_remove_t< Vec >
 Returns a vector with the addition of a value to all the elements of the input vector.
 
template<typename T >
requires (detail::is_floating_point_v<T>)
add (T a, T b)
 
template<Vector Vec>
Vec::value_type add_reduce (const Vec &v)
 
template<Vector Vec, Vector... Others>
auto add_reduce_v (const Vec &v, const Others &... others) -> aie_dm_resource_remove_t< Vec >
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto begin (adf::io_buffer< T, Dir, Config > &port)
 Returns a foward iterator over given io buffer.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto begin (const adf::io_buffer< T, Dir, Config > &port)
 Returns a foward const iterator over given io buffer.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto begin (T *base, size_t n)
 Returns an iterator for the array described by the given address and size.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , unsigned Elems>
constexpr auto begin (T(&base)[Elems])
 Returns an iterator for the given statically-sized array.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto begin_circular (adf::io_buffer< T, Dir, Config > &port)
 Returns a foward circular iterator over given io buffer.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto begin_circular (const adf::io_buffer< T, Dir, Config > &port)
 Returns a const foward circular iterator over given io buffer.
 
template<size_t Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto begin_circular (T *base)
 Returns a circular iterator for the array described by the given address and size.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto begin_circular (T *base, size_t n)
 Returns a circular iterator for the array described by the given address and size.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , size_t Elems>
constexpr auto begin_circular (T(&base)[Elems])
 Returns a circular iterator for the given statically-sized array.
 
template<unsigned Steps, typename T , typename... Offsets>
constexpr auto begin_pattern (T *base, Offsets &&... offsets)
 Returns a forward iterator for the array described by the given address.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto begin_random_circular (adf::io_buffer< T, Dir, Config > &port)
 Returns a random iterator over given io buffer.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto begin_random_circular (const adf::io_buffer< T, Dir, Config > &port)
 Returns a random const iterator over given io buffer.
 
template<size_t Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto begin_random_circular (T *base)
 Returns a random-access circular iterator for the array described by the given address and size.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto begin_random_circular (T *base, size_t n)
 Returns a random-access circular iterator for the array described by the given address and size.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , size_t Elems>
constexpr auto begin_random_circular (T(&base)[Elems])
 Returns a random-access circular iterator for the array described by the given address and size.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto begin_restrict_vector (adf::io_buffer< T, Dir, Config > &port)
 Returns a restrict vector iterator over given io buffer.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto begin_restrict_vector (const adf::io_buffer< T, Dir, Config > &port)
 Returns a const restrict vector iterator over given io buffer.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
constexpr auto begin_restrict_vector (const T *base)
 Same as begin_vector, but the given pointer is considered restrict.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
constexpr auto begin_restrict_vector (T *base)
 Same as begin_vector, but the given pointer is considered restrict.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
constexpr auto begin_unaligned_vector (T *base)
 Returns a vector iterator starting at the given address.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto begin_vector (adf::io_buffer< T, Dir, Config > &port)
 Returns a vector iterator over given io buffer.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto begin_vector (const adf::io_buffer< T, Dir, Config > &port)
 Returns a const vector iterator over given io buffer.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
constexpr auto begin_vector (const T *base)
 Returns a vector iterator starting at the given address.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
constexpr auto begin_vector (T *base)
 Returns a vector iterator starting at the given address.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto begin_vector_circular (adf::io_buffer< T, Dir, Config > &port)
 Returns a vector circular iterator over given io buffer.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto begin_vector_circular (const adf::io_buffer< T, Dir, Config > &port)
 Returns a const vector circular iterator over given io buffer.
 
template<unsigned Elems, size_t ArrayElems, aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto begin_vector_circular (T *base)
 Returns a circular iterator for the array described by the given address and size.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto begin_vector_circular (T *base, size_t n)
 Returns a circular iterator for the array described by the given address and size.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , size_t ArrayElems>
constexpr auto begin_vector_circular (T(&base)[ArrayElems])
 Returns a circular iterator for the array described by the given address and size.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto begin_vector_random_circular (adf::io_buffer< T, Dir, Config > &port)
 Returns a vector random circular iterator over given io buffer.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto begin_vector_random_circular (const adf::io_buffer< T, Dir, Config > &port)
 Returns a const vector random circular iterator over given io buffer.
 
template<unsigned Elems, size_t ArrayElems, aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto begin_vector_random_circular (T *base)
 Returns a circular iterator for the array described by the given address and size.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto begin_vector_random_circular (T *base, size_t n)
 Returns a circular iterator for the array described by the given address and size.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , size_t ArrayElems>
constexpr auto begin_vector_random_circular (T(&base)[ArrayElems])
 Returns a circular iterator for the array described by the given address and size.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType... Types>
constexpr auto begin_vectors (Types *...ptrs)
 
template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2> && (!detail::is_complex_v<typename Vec1::value_type>) && (!detail::is_floating_point_v<typename Vec1::value_type>))
auto bit_and (const Vec1 &v1, const Vec2 &v2) -> aie_dm_resource_remove_t< Vec1 >
 Returns a vector with the bit-wise AND of the elements of the two input vectors.
 
template<Elem E, Vector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type> && (!detail::is_complex_v<typename Vec::value_type>) && (!detail::is_floating_point_v<typename Vec::value_type>))
auto bit_and (E a, const Vec &v) -> aie_dm_resource_remove_t< Vec >
 Returns a vector with the bit-wise AND of a value and all the elements of the input vector.
 
template<Vector Vec>
requires ((!detail::is_complex_v<typename Vec::value_type>) && (!detail::is_floating_point_v<typename Vec::value_type>))
auto bit_not (const Vec &v) -> aie_dm_resource_remove_t< Vec >
 Returns a vector with the bit-wise NEG of the elements of the input vector.
 
template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2> && (!detail::is_complex_v<typename Vec1::value_type>) && (!detail::is_floating_point_v<typename Vec1::value_type>))
auto bit_or (const Vec1 &v1, const Vec2 &v2) -> aie_dm_resource_remove_t< Vec1 >
 Returns a vector with the bit-wise OR of the elements of the two input vectors.
 
template<Elem E, Vector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type> && (!detail::is_complex_v<typename Vec::value_type>) && (!detail::is_floating_point_v<typename Vec::value_type>))
auto bit_or (E a, const Vec &v) -> aie_dm_resource_remove_t< Vec >
 Returns a vector with the bit-wise OR of a value and all the elements of the input vector.
 
template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2> && (!detail::is_complex_v<typename Vec1::value_type>) && (!detail::is_floating_point_v<typename Vec1::value_type>))
auto bit_xor (const Vec1 &v1, const Vec2 &v2) -> aie_dm_resource_remove_t< Vec1 >
 Returns a vector with the bit-wise XOR of the elements of the two input vectors.
 
template<Elem E, Vector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type> && (!detail::is_complex_v<typename Vec::value_type>) && (!detail::is_floating_point_v<typename Vec::value_type>))
auto bit_xor (E a, const Vec &v) -> aie_dm_resource_remove_t< Vec >
 Returns a vector with the bit-wise XOR of a value and all the elements of the input vector.
 
template<Elem E, unsigned Elems = native_vector_length_v<E>>
vector< operand_base_type_t< E >, Elems > broadcast (E a)
 Returns a vector whose elements are initialized to the given value.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto cbegin (const adf::io_buffer< T, Dir, Config > &port)
 Returns a foward const iterator over given io buffer.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto cbegin (const T *base, size_t n)
 Returns an iterator for the constant array described by the given address and size.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto cbegin_circular (const adf::io_buffer< T, Dir, Config > &port)
 Returns a const foward iterator over given io buffer.
 
template<size_t Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr const_circular_iterator< T, Elems, Resource > cbegin_circular (const T *base)
 Similar to begin_circular, but the returned iterator is constant.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr const_circular_iterator< T, dynamic_extent, Resource > cbegin_circular (const T *base, size_t n)
 Similar to begin_circular, but the returned iterator is constant.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , size_t Elems>
constexpr const_circular_iterator< T, Elems, Resource > cbegin_circular (const T(&base)[Elems])
 Similar to begin_circular, but the returned iterator is constant.
 
template<unsigned Steps, typename T , typename... Offsets>
constexpr const_pattern_iterator< T, Steps > cbegin_pattern (const T *base, Offsets &&... offsets)
 Similar to begin_pattern, but the returned iterator is constant.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto cbegin_random_circular (const adf::io_buffer< T, Dir, Config > &port)
 Returns a random const iterator over given io buffer.
 
template<size_t Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto cbegin_random_circular (const T *base)
 Similar to begin_random_circular, but the returned iterator is constant.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto cbegin_random_circular (const T *base, size_t n)
 Similar to begin_random_circular, but the returned iterator is constant.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , size_t Elems>
constexpr auto cbegin_random_circular (const T(&base)[Elems])
 Similar to begin_random_circular, but the returned iterator is constant.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto cbegin_restrict_vector (const adf::io_buffer< T, Dir, Config > &port)
 Returns a const restrict vector iterator over given io buffer.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
constexpr auto cbegin_restrict_vector (const T *base)
 Same as begin_vector, but the given pointer is considered restrict.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
constexpr auto cbegin_unaligned_vector (T *base)
 Returns a vector iterator starting at the given address.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto cbegin_vector (const adf::io_buffer< T, Dir, Config > &port)
 Returns a const vector iterator over given io buffer.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
constexpr auto cbegin_vector (const T *base)
 Same as begin_vector.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto cbegin_vector_circular (const adf::io_buffer< T, Dir, Config > &port)
 Returns a const vector circular iterator over given io buffer.
 
template<unsigned Elems, size_t ArrayElems, aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto cbegin_vector_circular (const T *base)
 Similar to begin_circular, but the returned iterator is constant.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto cbegin_vector_circular (const T *base, size_t n)
 Similar to begin_circular, but the returned iterator is constant.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , size_t ArrayElems>
constexpr auto cbegin_vector_circular (const T(&base)[ArrayElems])
 Similar to begin_circular, but the returned iterator is constant.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , typename Dir , typename Config >
constexpr auto cbegin_vector_random_circular (const adf::io_buffer< T, Dir, Config > &port)
 Returns a const vector random circular iterator over given io buffer.
 
template<unsigned Elems, size_t ArrayElems, aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto cbegin_vector_random_circular (const T *base)
 Similar to begin_circular, but the returned iterator is constant.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto cbegin_vector_random_circular (const T *base, size_t n)
 Similar to begin_circular, but the returned iterator is constant.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, typename T , size_t ArrayElems>
constexpr auto cbegin_vector_random_circular (const T(&base)[ArrayElems])
 Similar to begin_circular, but the returned iterator is constant.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType... Types>
constexpr auto cbegin_vectors (const Types *...ptrs)
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto cend (const T *base, size_t n)
 Returns an iterator that points at the end of the constant array described by the given address and size.
 
template<Accum Acc, Accum... Accums>
requires ((is_same_accum_v<Acc, Accums> && ...))
auto concat (const Acc &acc, const Accums &...accums) -> accum< typename Acc::value_type, Acc::size() *(1+sizeof...(Accums))>
 Concatenate the contents of all input accumulators into a larger accumulator.
 
template<Vector Vec, Vector... Vectors>
requires ((is_same_vector_v<Vec, Vectors> && ...))
auto concat (const Vec &v, const Vectors &...vectors) -> vector< typename Vec::value_type, Vec::size() *(1+sizeof...(Vectors))>
 Concatenate the contents of all input vectors into a larger vector.
 
template<ComplexElem E>
constexpr auto conj (const E &a) -> operand_base_type_t< E >
 Compute the conjugate in the given complex value.
 
template<ComplexVector Vec>
auto conj (const Vec &v) -> aie_dm_resource_remove_t< Vec >
 Compute the conjugate for each element in the given vector of complex elements.
 
template<Elem E, Vector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
bool contains (E a, const Vec &v)
 
template<RealVector Vec>
requires (arch::is(arch::AIE))
auto cos (const Vec &v) -> aie_dm_resource_remove_t< Vec >
 Performs a cosine operation on all elements in the input vector.
 
template<typename E >
requires (arch::is(arch::AIE) && (RealElem<E> || std::is_integral_v<E>))
auto cos (E a)
 Performs a cosine operation on a single value.
 
template<ComplexVector Vec, ComplexElem E>
requires (arch::is(arch::AIE) || (arch::is(arch::AIE_ML) && __AIE_API_COMPLEX_FP32_EMULATION__ == 1))
auto div (const Vec &a, const E &b) -> accum< detail::accum_tag_for_mul_types< typename Vec::value_type, detail::utils::get_complex_component_type_t< E > >, Vec::size()>
 Returns the quotients of the element-wise division of a complex vector 'a' by a complex scalar 'b'.
 
template<ComplexVector Vec>
requires (arch::is(arch::AIE) || (arch::is(arch::AIE_ML) && __AIE_API_COMPLEX_FP32_EMULATION__ == 1))
auto div (const Vec &a, const Vec &b) -> accum< detail::accum_tag_for_mul_types< typename Vec::value_type, detail::utils::get_complex_component_type_t< typename Vec::value_type > >, Vec::size()>
 Returns the quotients of the element-wise division of two complex vectors 'a' and 'b'.
 
template<Vector Vec, RealElem E>
requires ( detail::is_floating_point_v<typename Vec::value_type> && detail::is_valid_element_type_v<E> && detail::is_floating_point_v<E>)
auto div (const Vec &a, E b) -> accum< detail::accum_tag_for_mul_types< typename Vec::value_type, E >, Vec::size()>
 Returns the quotients of the element-wise division of each value of the first input vector by a scalar.
 
template<Vector Vec1, RealVector Vec2>
requires (Vec1::size() == Vec2::size() && detail::is_floating_point_v<typename Vec2::value_type>)
auto div (const Vec1 &a, const Vec2 &b) -> accum< detail::accum_tag_for_mul_types< typename Vec1::value_type, typename Vec2::value_type >, Vec1::size()>
 Returns the quotients of the element-wise division of each value of the first input vector by the corresponding element in the second input vector.
 
float div (float a, float b)
 
template<Vector Vec>
constexpr auto downshift (const Vec &v, unsigned shift) -> aie_dm_resource_remove_t< Vec >
 Returns a vector with all values arithmetically downshifted by specified number of bits.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T >
constexpr auto end (T *base, size_t n)
 Returns an iterator that points at the end of the array described by the given address and size.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , unsigned Elems>
constexpr auto end (T(&base)[Elems])
 Returns an iterator that points at the end of the given statically-sized array.
 
template<Vector Vec, Elem E>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
mask< Vec::size()> eq (const Vec &v, E a)
 Compares a value with the elements of the input vector and returns a mask that says what elements in the vector are equal to the value.
 
template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
mask< Vec1::size()> eq (const Vec1 &v1, const Vec2 &v2)
 Compares the elements of the two input vectors and returns a mask that says what elements are equal.
 
template<Elem E, Vector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
mask< Vec::size()> eq (E a, const Vec &v)
 Compares a value with the elements of the input vector and returns a mask that says what elements in the vector are equal to the value.
 
template<typename T >
requires (detail::is_floating_point_v<T>)
bool eq (T a, T b)
 Compares the two input values and returns whether they are equal.
 
template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
constexpr bool equal (const Vec1 &v1, const Vec2 &v2)
 Return whether all the elements of the two input vectors are equal.
 
template<unsigned Vectorization, typename Input , typename Output , typename Twiddle >
requires (arch::is(arch::AIE) && detail::is_floating_point_v<Input>)
void fft_dit_r2_stage (const Input *__restrict x, const Twiddle *__restrict tw, unsigned n, bool inv, Output *__restrict out)
 A function to perform a single floating point radix 2 FFT stage.
 
template<unsigned Vectorization, typename Input , typename Output , typename Twiddle >
void fft_dit_r2_stage (const Input *__restrict x, const Twiddle *__restrict tw, unsigned n, unsigned shift_tw, unsigned shift, bool inv, Output *__restrict out)
 A function to perform a single radix 2 FFT stage.
 
template<unsigned Vectorization, typename Input , typename Output , typename Twiddle >
requires (arch::is(arch::AIE))
void fft_dit_r3_stage (const Input *__restrict x, const Twiddle *__restrict tw0, const Twiddle *__restrict tw1, unsigned n, unsigned shift_tw, unsigned shift, bool inv, Output *__restrict out)
 A function to perform a single radix 3 FFT stage.
 
template<unsigned Vectorization, typename Input , typename Output , typename Twiddle >
void fft_dit_r4_stage (const Input *__restrict x, const Twiddle *__restrict tw0, const Twiddle *__restrict tw1, const Twiddle *__restrict tw2, unsigned n, unsigned shift_tw, unsigned shift, bool inv, Output *__restrict out)
 A function to perform a single radix 4 FFT stage.
 
template<unsigned Vectorization, typename Input , typename Output , typename Twiddle >
requires (arch::is(arch::AIE))
void fft_dit_r5_stage (const Input *__restrict x, const Twiddle *__restrict tw0, const Twiddle *__restrict tw1, const Twiddle *__restrict tw2, const Twiddle *__restrict tw3, unsigned n, unsigned shift_tw, unsigned shift, bool inv, Output *out)
 A function to perform a single radix 5 FFT stage.
 
template<Vector Vec>
auto filter_even (const Vec &v, unsigned step=1) -> vector< typename Vec::value_type, Vec::size()/2 >
 Returns a vector of half the size whose contents follow the following pattern.
 
template<Vector Vec>
auto filter_odd (const Vec &v, unsigned step=1) -> vector< typename Vec::value_type, Vec::size()/2 >
 Returns a vector of half the size whose contents follow the following pattern.
 
template<AccumElemBaseType AccumTag, VectorOrOp Vec>
accum< AccumTag, Vec::size()> from_vector (const Vec &v, int shift=0)
 Returns the values of the passed vector in an accumulator of the requested type after applying the requested upshift operation.
 
template<RealVector Vec, RealElem E>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
mask< Vec::size()> ge (const Vec &v, E a)
 Compares the elements of the input vector with a value and returns a mask that says if the elements in the vector are greater or equal than the value.
 
template<RealVector Vec1, RealVector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
mask< Vec1::size()> ge (const Vec1 &v1, const Vec2 &v2)
 Compares the elements of the two input vectors and returns a mask that says what elements from the first vector are greater or equal than the corresponding elements in the second vector.
 
template<RealElem E, RealVector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
mask< Vec::size()> ge (E a, const Vec &v)
 Compares a value with the elements of the input vector and returns a mask that says if the value is greater or equal than the elements in the vector.
 
template<typename T >
requires (detail::is_floating_point_v<T> && !detail::is_complex_v<T>)
bool ge (T a, T b)
 Compares the two input values and returns whether the first value is larger or equal than the second value.
 
template<RealVector Vec, RealElem E>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
mask< Vec::size()> gt (const Vec &v, E a)
 Compares the elements of the input vector with a value and returns a mask that says if the elements in the vector are greater than the value.
 
template<RealVector Vec1, RealVector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
mask< Vec1::size()> gt (const Vec1 &v1, const Vec2 &v2)
 Compares the elements of the two input vectors and returns a mask that says what elements from the first vector are greater than the corresponding elements in the second vector.
 
template<RealElem E, RealVector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
mask< Vec::size()> gt (E a, const Vec &v)
 Compares a value with the elements of the input vector and returns a mask that says if the value is greater than the elements in the vector.
 
template<typename T >
requires (detail::is_floating_point_v<T> && !detail::is_complex_v<T>)
bool gt (T a, T b)
 Compares the two input values and returns whether the first value is larger than the second value.
 
template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto interleave_butterfly (const Vec1 &v1, const Vec2 &v2, unsigned step) -> std::pair< aie_dm_resource_remove_t< Vec1 >, aie_dm_resource_remove_t< Vec1 > >
 
template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto interleave_butterfly_half (const Vec1 &v1, const Vec2 &v2, unsigned step) -> std::pair< aie_dm_resource_remove_t< Vec1 >, aie_dm_resource_remove_t< Vec1 > >
 
template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto interleave_crossover (const Vec1 &v1, const Vec2 &v2, unsigned step) -> std::pair< aie_dm_resource_remove_t< Vec1 >, aie_dm_resource_remove_t< Vec1 > >
 
template<Vector Vec1, Vector Vec2, typename... Select>
requires (is_same_vector_v<Vec1, Vec2> && sizeof...(Select) == Vec1::size())
auto interleave_custom (const Vec1 &v1, const Vec2 &v2, Select... select) -> std::pair< aie_dm_resource_remove_t< Vec1 >, aie_dm_resource_remove_t< Vec1 > >
 
template<unsigned S0, unsigned S1, unsigned S2, unsigned S3, unsigned S4, unsigned S5, unsigned S6, unsigned S7, unsigned S8, unsigned S9, unsigned S10, unsigned S11, unsigned S12, unsigned S13, unsigned S14, unsigned S15, unsigned S16, unsigned S17, unsigned S18, unsigned S19, unsigned S20, unsigned S21, unsigned S22, unsigned S23, unsigned S24, unsigned S25, unsigned S26, unsigned S27, unsigned S28, unsigned S29, unsigned S30, unsigned S31, Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto interleave_custom_static (const Vec1 &v1, const Vec2 &v2) -> std::pair< aie_dm_resource_remove_t< Vec1 >, aie_dm_resource_remove_t< Vec1 > >
 
template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto interleave_unzip (const Vec1 &v1, const Vec2 &v2, unsigned step) -> std::pair< aie_dm_resource_remove_t< Vec1 >, aie_dm_resource_remove_t< Vec1 > >
 Picks elements sequentially from the input vectors and writes them alternatively into the output vectors.
 
template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto interleave_zip (const Vec1 &v1, const Vec2 &v2, unsigned step) -> std::pair< aie_dm_resource_remove_t< Vec1 >, aie_dm_resource_remove_t< Vec1 > >
 Picks elements alternatively from the input vectors and writes them sequentially into the output vectors.
 
template<unsigned Elems>
requires (arch::is(arch::AIE))
accum< accfloat, Elems > inv (const accum< accfloat, Elems > &v)
 
template<Vector Vec>
auto inv (const Vec &v) -> aie_dm_resource_remove_t< Vec >
 
template<RealElem E>
auto inv (E a)
 
template<unsigned Elems>
requires (arch::is(arch::AIE))
accum< accfloat, Elems > invsqrt (const accum< accfloat, Elems > &v)
 
template<Vector Vec>
auto invsqrt (const Vec &v) -> aie_dm_resource_remove_t< Vec >
 
template<Elem E>
auto invsqrt (E a)
 
template<typename T , Elem E>
constexpr bool is_ct_elem_zero (E a)
 
template<RealVector Vec, RealElem E>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
mask< Vec::size()> le (const Vec &v, E a)
 Compares the elements of the input vector with a value and returns a mask that says if the elements in the vector are smaller or equal than the value.
 
template<RealVector Vec1, RealVector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
mask< Vec1::size()> le (const Vec1 &v1, const Vec2 &v2)
 Compares the elements of the two input vectors and returns a mask that says what elements from the first vector are smaller or equal than the corresponding elements in the second vector.
 
template<RealElem E, RealVector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
mask< Vec::size()> le (E a, const Vec &v)
 Compares a value with the elements of the input vector and returns a mask that says if the value is smaller or equal than the elements in the vector.
 
template<typename T >
requires (detail::is_floating_point_v<T> && !detail::is_complex_v<T>)
bool le (T a, T b)
 Compares the two input values and returns whether the first value is smaller or equal than the second value.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
auto load_floor_bytes_v (const T *ptr, size_t bytes) -> vector< aie_dm_resource_remove_t< T >, Elems >
 Load a vector of Elems size whose elements have type T.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
auto load_floor_v (const T *ptr, unsigned n=Elems) -> vector< aie_dm_resource_remove_t< T >, Elems >
 Load a vector of Elems size whose elements have type T.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
auto load_unaligned_v (const T *ptr, unsigned aligned_elems=1) -> vector< aie_dm_resource_remove_t< T >, Elems >
 Load a vector of Elems size whose elements have type T.
 
template<aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
auto load_unaligned_v (const T *ptr, unsigned aligned_elems=1) -> vector< aie_dm_resource_remove_t< T >, native_vector_length_v< T > >
 Load a vector whose elements have type T.
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
auto load_v (const T *ptr) -> vector< aie_dm_resource_remove_t< T >, Elems >
 Load a vector of Elems size whose elements have type T.
 
template<aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
auto load_v (const T *ptr) -> vector< aie_dm_resource_remove_t< T >, native_vector_length_v< T > >
 Load a vector whose elements have type T.
 
template<Vector Vec>
constexpr auto logical_downshift (const Vec &v, unsigned shift) -> aie_dm_resource_remove_t< Vec >
 Returns a vector with all values logically downshifted by specified number of bits.
 
template<RealVector Vec, RealElem E>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
mask< Vec::size()> lt (const Vec &v, E a)
 Compares the elements of the input vector with a value and returns a mask that says if the elements in the vector are smaller than the value.
 
template<RealVector Vec1, RealVector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
mask< Vec1::size()> lt (const Vec1 &v1, const Vec2 &v2)
 Compares the elements of the two input vectors and returns a mask that says what elements from the first vector are smaller than the corresponding elements in the second vector.
 
template<RealElem E, RealVector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
mask< Vec::size()> lt (E a, const Vec &v)
 Compares a value with the elements of the input vector and returns a mask that says if the value is smaller than the elements in the vector.
 
template<typename T >
requires (detail::is_floating_point_v<T> && !detail::is_complex_v<T>)
bool lt (T a, T b)
 Compares the two input values and returns whether the first value is smaller than the second value.
 
template<AccumOrOp Acc, VectorOrOp Vec, ElemOrOp E>
requires (is_valid_size_v<Acc, Vec, E> && is_valid_mul_op_v<typename Vec::value_type, E>)
constexpr auto mac (const Acc &acc, const Vec &v, E a) -> operand_base_type_t< Acc >
 Returns an accumulator with the element-wise multiply-add of input vector, value and accumulator.
 
template<AccumOrOp Acc, VectorOrOp Vec1, VectorOrOp Vec2>
requires (is_valid_size_v<Acc, Vec1, Vec2> && is_valid_mul_op_v<typename Vec1::value_type, typename Vec2::value_type>)
constexpr auto mac (const Acc &acc, const Vec1 &v1, const Vec2 &v2) -> operand_base_type_t< Acc >
 Returns an accumulator with the element-wise multiply-add of the two input vectors and accumulator.
 
template<AccumOrOp Acc, ElemOrOp E, VectorOrOp Vec>
requires (is_valid_size_v<Acc, E, Vec> && is_valid_mul_op_v<E, typename Vec::value_type>)
constexpr auto mac (const Acc &acc, E a, const Vec &v) -> operand_base_type_t< Acc >
 Returns an accumulator with the element-wise multiply-add of value, input vector and accumulator.
 
template<typename TR , typename T1 , typename T2 >
requires (detail::is_floating_point_v<T1> && detail::is_floating_point_v<T2> && std::is_same_v<decltype(mul(a, b)), TR>)
TR mac (TR c, T1 a, T2 b)
 
template<AccumOrOp Acc, Vector Vec>
requires (Vec::size() == Acc::size())
constexpr auto mac_square (const Acc &acc, const Vec &v)
 Returns an accumulator with the addition or subtraction of the given accumulator and the element-wise square of the input vector.
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , typename TensorDescriptor >
constexpr auto make_restrict_tensor_buffer_stream (T *__restrict base, const TensorDescriptor &tensor_desc)
 
template<aie_dm_resource Resource = aie_dm_resource::none, typename T , typename TensorDescriptor >
constexpr auto make_tensor_buffer_stream (T *base, const TensorDescriptor &tensor_desc)
 
template<typename T , unsigned Elems, typename... Args>
requires (arch::is(arch::AIE_ML) && (std::is_same_v<Args, tensor_dim> && ...))
constexpr auto make_tensor_descriptor (Args &&... args)
 
template<typename T , unsigned Elems, typename... Args>
requires (arch::is(arch::AIE_ML) && (std::is_same_v<Args, tensor_dim> && ...))
constexpr auto make_tensor_descriptor_bytes (Args &&... args)
 
template<typename T , unsigned Elems, typename... Args>
constexpr auto make_tensor_descriptor_from_native (Args &&... args)
 
template<typename T , unsigned Elems, typename... Args>
constexpr auto make_tensor_descriptor_from_native_bytes (Args &&... args)
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
auto make_unaligned_vector_input_buffer_stream (const T *ptr) -> unaligned_vector_input_buffer_stream< T, Elems, Resource >
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
auto make_unaligned_vector_output_buffer_stream (T *ptr) -> unaligned_vector_output_buffer_stream< T, Elems, Resource >
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
auto make_vector_input_buffer_stream (const T *ptr) -> vector_input_buffer_stream< T, Elems, Resource >
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
auto make_vector_output_buffer_stream (T *ptr) -> vector_output_buffer_stream< T, Elems, Resource >
 
template<RealVector Vec, RealElem E>
requires (is_valid_elem_op_v<typename Vec::value_type, E>)
auto max (const Vec &v, E a) -> aie_dm_resource_remove_t< Vec >
 Compares the elements of the input vector with a value and returns a vector with the maximum values.
 
template<RealVector Vec, RealElem E>
requires (arch::is(arch::AIE_ML) && is_valid_elem_op_v<typename Vec::value_type, E>)
auto max (const Vec &v, E a, bool sign) -> aie_dm_resource_remove_t< Vec >
 Compares the elements of the input vector with a value and returns a vector with the maximum values.
 
template<RealVector Vec1, RealVector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto max (const Vec1 &v1, const Vec2 &v2) -> aie_dm_resource_remove_t< Vec1 >
 Compares the elements of the two input vectors and returns a vector with the maximum values.
 
template<RealVector Vec1, RealVector Vec2>
requires (arch::is(arch::AIE_ML) && is_same_vector_v<Vec1, Vec2>)
auto max (const Vec1 &v1, const Vec2 &v2, bool sign) -> aie_dm_resource_remove_t< Vec1 >
 Compares the elements of the two input vectors and returns a vector with the maximum values.
 
template<RealElem E, RealVector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
auto max (E a, const Vec &v) -> aie_dm_resource_remove_t< Vec >
 Compares a value with the elements of the input vector and returns a vector with the maximum values.
 
template<RealElem E, RealVector Vec>
requires (arch::is(arch::AIE_ML) && is_valid_elem_op_v<E, typename Vec::value_type>)
auto max (E a, const Vec &v, bool sign) -> aie_dm_resource_remove_t< Vec >
 Compares a value with the elements of the input vector and returns a vector with the maximum values.
 
template<typename T >
requires (detail::is_floating_point_v<T>)
max (T a, T b)
 Compares the two input values and returns the maximum value.
 
template<RealVector Vec1, RealVector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto max_cmp (const Vec1 &v1, const Vec2 &v2) -> std::tuple< aie_dm_resource_remove_t< Vec1 >, mask< Vec1::size()> >
 
template<RealVector Vec>
Vec::value_type max_reduce (const Vec &v)
 
template<RealVector Vec, RealElem E>
requires (is_valid_elem_op_v<typename Vec::value_type, E>)
auto maxdiff (const Vec &v, E a) -> aie_dm_resource_remove_t< Vec >
 Compares the elements of the input vector with a value and returns a vector whose values are their difference if it is positive, or zero otherwise.
 
template<RealVector Vec, RealElem E>
requires (arch::is(arch::AIE_ML) && is_valid_elem_op_v<typename Vec::value_type, E>)
auto maxdiff (const Vec &v, E a, bool sign) -> aie_dm_resource_remove_t< Vec >
 Compares the elements of the input vector with a value and returns a vector whose values are their difference if it is positive, or zero otherwise.
 
template<RealVector Vec1, RealVector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto maxdiff (const Vec1 &v1, const Vec2 &v2) -> aie_dm_resource_remove_t< Vec1 >
 Compares the elements of the two input vectors and returns a vector whose values are their difference if it is positive, or zero otherwise.
 
template<RealVector Vec1, RealVector Vec2>
requires (arch::is(arch::AIE_ML) && is_same_vector_v<Vec1, Vec2>)
auto maxdiff (const Vec1 &v1, const Vec2 &v2, bool sign) -> aie_dm_resource_remove_t< Vec1 >
 Compares the elements of the two input vectors and returns a vector whose values are their difference if it is positive, or zero otherwise.
 
template<RealElem E, RealVector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
auto maxdiff (E a, const Vec &v) -> aie_dm_resource_remove_t< Vec >
 Compares a value with the elements of the input vector and returns a vector whose values are their difference if it is positive, or zero otherwise.
 
template<RealElem E, RealVector Vec>
requires (arch::is(arch::AIE_ML) && is_valid_elem_op_v<E, typename Vec::value_type>)
auto maxdiff (E a, const Vec &v, bool sign) -> aie_dm_resource_remove_t< Vec >
 Compares a value with the elements of the input vector and returns a vector whose values are their difference if it is positive, or zero otherwise.
 
template<RealVector Vec, RealElem E>
requires (is_valid_elem_op_v<typename Vec::value_type, E>)
auto min (const Vec &v, E a) -> aie_dm_resource_remove_t< Vec >
 Compares the elements of the input vector with a value and returns a vector with the minimum values.
 
template<RealVector Vec, RealElem E>
requires (arch::is(arch::AIE_ML) && is_valid_elem_op_v<typename Vec::value_type, E>)
auto min (const Vec &v, E a, bool sign) -> aie_dm_resource_remove_t< Vec >
 Compares the elements of the input vector with a value and returns a vector with the minimum values.
 
template<RealVector Vec1, RealVector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto min (const Vec1 &v1, const Vec2 &v2) -> aie_dm_resource_remove_t< Vec1 >
 Compares the elements of the two input vectors and returns a vector with the minimum values.
 
template<RealVector Vec1, RealVector Vec2>
requires (arch::is(arch::AIE_ML) && is_same_vector_v<Vec1, Vec2>)
auto min (const Vec1 &v1, const Vec2 &v2, bool sign) -> aie_dm_resource_remove_t< Vec1 >
 Compares the elements of the two input vectors and returns a vector with the minimum values.
 
template<RealElem E, RealVector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
auto min (E a, const Vec &v) -> aie_dm_resource_remove_t< Vec >
 Compares a value with the elements of the input vector and returns a vector with the minimum values.
 
template<RealElem E, RealVector Vec>
requires (arch::is(arch::AIE_ML) && is_valid_elem_op_v<E, typename Vec::value_type>)
auto min (E a, const Vec &v, bool sign) -> aie_dm_resource_remove_t< Vec >
 Compares a value with the elements of the input vector and returns a vector with the minimum values.
 
template<typename T >
requires (detail::is_floating_point_v<T>)
min (T a, T b)
 Compares the two input values and returns the minimum value.
 
template<RealVector Vec1, RealVector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto min_cmp (const Vec1 &v1, const Vec2 &v2) -> std::tuple< aie_dm_resource_remove_t< Vec1 >, mask< Vec1::size()> >
 
template<RealVector Vec>
Vec::value_type min_reduce (const Vec &v)
 
template<unsigned M, unsigned K, unsigned N, typename Acc , Vector VecA, Vector VecB>
requires ((Acc::accum_type::size() == M * N) && (VecA::size() == M * K) && (VecB::size() == K * N) && is_valid_mul_op_v<typename VecA::value_type, typename VecB::value_type> && is_mmul_v<Acc>)
auto mmac_fn (Acc &c, const VecA &a, const VecB &b)
 
template<unsigned M, unsigned K, unsigned N, Accum Acc, Vector VecA, Vector VecB>
requires ((Acc::size() == M * N) && (VecA::size() == M * K) && (VecB::size() == K * N) && is_valid_mul_op_v<typename VecA::value_type, typename VecB::value_type>)
auto mmac_fn (const Acc &c, const VecA &a, const VecB &b)
 
template<unsigned M, unsigned K, unsigned N, AccumElemBaseType AccumTag = accauto, Vector VecA, Vector VecB>
requires ((VecA::size() == M * K) && (VecB::size() == K * N) && is_valid_mul_op_v<typename VecA::value_type, typename VecB::value_type>)
auto mmul_fn (const VecA &a, const VecB &b)
 
template<Accum Acc, VectorOrOp Vec, ElemOrOp E>
requires (is_valid_size_v<Acc, Vec, E> && is_valid_mul_op_v<typename Vec::value_type, E>)
constexpr auto msc (const Acc &acc, const Vec &v, E a) -> aie_dm_resource_remove_t< Acc >
 Returns an accumulator with the element-wise multiply-add of input vector, value and accumulator.
 
template<Accum Acc, VectorOrOp Vec1, VectorOrOp Vec2>
requires (is_valid_size_v<Acc, Vec1, Vec2> && is_valid_mul_op_v<typename Vec1::value_type, typename Vec2::value_type>)
constexpr auto msc (const Acc &acc, const Vec1 &v1, const Vec2 &v2) -> aie_dm_resource_remove_t< Acc >
 Returns an accumulator with the element-wise multiply-add of the two input vectors and accumulator.
 
template<Accum Acc, ElemOrOp E, VectorOrOp Vec>
requires (is_valid_size_v<Acc, E, Vec> && is_valid_mul_op_v<E, typename Vec::value_type>)
constexpr auto msc (const Acc &acc, E a, const Vec &v) -> aie_dm_resource_remove_t< Acc >
 Returns an accumulator with the element-wise multiply-add of value, input vector and accumulator.
 
template<typename TR , typename T1 , typename T2 >
requires (detail::is_floating_point_v<T1> && detail::is_floating_point_v<T2> && std::is_same_v<decltype(mul(a, b)), TR>)
TR msc (TR c, T1 a, T2 b)
 
template<Accum Acc, Vector Vec>
requires (Vec::size() == Acc::size())
constexpr auto msc_square (const Acc &acc, const Vec &v)
 Returns an accumulator with the subtraction of the given accumulator and the element-wise square of the input vector.
 
template<VectorOrOp Vec, ElemOrOp E>
requires (is_valid_size_v<E, Vec> && is_valid_mul_op_v<typename Vec::value_type, E>)
constexpr auto mul (const Vec &v, E a)
 Returns an accumulator with the element-wise multiplication of a value and all the elements of a vector.
 
template<AccumElemBaseType AccumTag, VectorOrOp Vec, ElemOrOp E>
requires (is_valid_size_v<Vec, E> && is_valid_mul_op_v<typename Vec::value_type, E>)
constexpr auto mul (const Vec &v, E a) -> accum< AccumTag, Vec::size()>
 Returns an accumulator of the requested type with the element-wise multiplication of a value and all the elements of the input vector.
 
template<VectorOrOp Vec1, VectorOrOp Vec2>
requires (is_valid_size_v<Vec1, Vec2> && is_valid_mul_op_v<typename Vec1::value_type, typename Vec2::value_type>)
constexpr auto mul (const Vec1 &v1, const Vec2 &v2)
 Returns an accumulator with the element-wise multiplication of the two input vectors.
 
template<AccumElemBaseType AccumTag, VectorOrOp Vec1, VectorOrOp Vec2>
requires (is_valid_size_v<Vec1, Vec2> && is_valid_mul_op_v<typename Vec1::value_type, typename Vec2::value_type>)
constexpr auto mul (const Vec1 &v1, const Vec2 &v2) -> accum< AccumTag, Vec1::size()>
 Returns an accumulator of the requested type with the element-wise multiplication of the two input vectors.
 
template<ElemOrOp E, VectorOrOp Vec>
requires (is_valid_size_v<E, Vec> && is_valid_mul_op_v<E, typename Vec::value_type>)
constexpr auto mul (E a, const Vec &v)
 Returns an accumulator with the element-wise multiplication of a value and all the elements of a vector.
 
template<AccumElemBaseType AccumTag, ElemOrOp E, VectorOrOp Vec>
requires (is_valid_size_v<Vec, E> && is_valid_mul_op_v<E, typename Vec::value_type>)
constexpr auto mul (E a, const Vec &v) -> accum< AccumTag, Vec::size()>
 Returns an accumulator of the requested type with the element-wise multiplication of a value and all the elements of the input vector.
 
template<typename T1 , typename T2 >
requires (detail::is_floating_point_v<T1> && detail::is_floating_point_v<T2>)
auto mul (T1 a, T2 b)
 
template<AccumElemBaseType AccumTag, Vector Vec>
Vec::value_type mul_reduce (const Vec &v)
 
template<Vector Vec>
constexpr Vec::value_type mul_reduce (const Vec &v)
 
template<Vector Vec>
constexpr auto mul_square (const Vec &v)
 Returns an accumulator with the element-wise square of the input vector.
 
template<AccumElemBaseType AccumTag, Vector Vec>
constexpr auto mul_square (const Vec &v) -> accum< AccumTag, Vec::size()>
 Returns an accumulator of the requested type with the element-wise square of the input vector.
 
template<Elem E>
constexpr auto neg (const E &a) -> operand_base_type_t< E >
 For values with signed types, return the input value with the sign flipped.
 
template<Vector Vec>
constexpr auto neg (const Vec &v) -> aie_dm_resource_remove_t< Vec >
 For vectors with signed types, return a vector whose elements are the same as in the given vector but with the sign flipped.
 
template<VectorOrOp Vec, ElemOrOp E>
requires (is_valid_mul_op_v<typename Vec::value_type, E>)
constexpr auto negmul (const Vec &v, E a)
 Returns an accumulator with the negate of the element-wise multiplication of all the elements of the input vector and a value.
 
template<AccumElemBaseType AccumTag, VectorOrOp Vec, ElemOrOp E>
requires (is_valid_mul_op_v<typename Vec::value_type, E>)
constexpr auto negmul (const Vec &v, E a) -> accum< AccumTag, Vec::size()>
 Returns an accumulator of the requested type with the negate of the element-wise multiplication of all the elements of the input vector and a value.
 
template<VectorOrOp Vec1, VectorOrOp Vec2>
requires ((Vec1::size() == Vec2::size()) && is_valid_mul_op_v<typename Vec1::value_type, typename Vec2::value_type>)
constexpr auto negmul (const Vec1 &v1, const Vec2 &v2)
 Returns an accumulator with the negate of the element-wise multiplication of the two input vectors.
 
template<AccumElemBaseType AccumTag, VectorOrOp Vec1, VectorOrOp Vec2>
requires (Vec1::size() == Vec2::size() && is_valid_mul_op_v<typename Vec1::value_type, typename Vec2::value_type>)
constexpr auto negmul (const Vec1 &v1, const Vec2 &v2) -> accum< AccumTag, Vec1::size()>
 Returns an accumulator of the requested type with the negate of the element-wise multiplication of the two input vectors.
 
template<ElemOrOp E, VectorOrOp Vec>
requires (is_valid_mul_op_v<E, typename Vec::value_type>)
constexpr auto negmul (E a, const Vec &v)
 Returns an accumulator with the negate of the element-wise multiplication of a value and all the elements of the input vector.
 
template<AccumElemBaseType AccumTag, ElemOrOp E, VectorOrOp Vec>
requires (is_valid_mul_op_v<E, typename Vec::value_type>)
constexpr auto negmul (E a, const Vec &v) -> accum< AccumTag, Vec::size()>
 Returns an accumulator of the requested type with the negate of the element-wise multiplication of a value and all the elements of the input vector.
 
template<Vector Vec, Elem E>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
mask< Vec::size()> neq (const Vec &v, E a)
 Compares a value with the elements of the input vector and returns a mask that says what elements in the vector are different than the value.
 
template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
mask< Vec1::size()> neq (const Vec1 &v1, const Vec2 &v2)
 Compares the elements of the two input vectors and returns a mask that says what elements are different.
 
template<Elem E, Vector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
mask< Vec::size()> neq (E a, const Vec &v)
 Compares a value with the elements of the input vector and returns a mask that says what elements in the vector are different than the value.
 
template<typename T >
requires (detail::is_floating_point_v<T>)
bool neq (T a, T b)
 Compares the two input values and returns whether they are not equal.
 
template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
constexpr bool not_equal (const Vec1 &v1, const Vec2 &v2)
 Return whether some elements in the two input vectors are not equal.
 
template<typename T >
requires (RealVector<T> || RealElem<T> || is_real_op_v<T>)
constexpr unary_op< T, Operation::Absop_abs (const T &e)
 Returns an absolute operation modifier for the given vector or element.
 
template<Accum Acc>
constexpr unary_op< Acc, Operation::Acc_Addop_add (const Acc &acc)
 Returns an addition operation modifier for the given accumulator.
 
template<typename T >
requires (ComplexVector<T> || ComplexElem<T> || is_complex_op_v<T>)
constexpr unary_op< T, Operation::Conjop_conj (const T &e)
 Returns a conjugate operation modifier for the given complex vector or element.
 
template<VectorOrOp Vec1, VectorOrOp Vec2>
constexpr binary_op< Vec1, Vec2, Operation::Maxop_max (const Vec1 &a, const Vec2 &b)
 Returns a maximum operation modifier for the given pair of vectors or elements.
 
template<VectorOrOp Vec1, VectorOrOp Vec2>
constexpr binary_op< Vec1, Vec2, Operation::Minop_min (const Vec1 &a, const Vec2 &b)
 Returns a minimum operation modifier for the given pair of vectors or elements.
 
template<typename T >
requires (Vector<T> || Elem<T> || Accum<T>)
constexpr unary_op< T, Operation::Noneop_none (const T &e)
 Returns an empty operation modifier for the given vector, vector element or accumulator.
 
template<typename T >
requires ((Vector<T> || Elem<T> || Accum<T> || is_op_v<T>) && (!detail::is_complex_v<typename T::value_type>) && (!detail::is_floating_point_v<typename T::value_type>))
constexpr binary_op< T, bool, Operation::Signop_sign (const T &e, bool is_signed)
 Returns dynamically signed/unsigned operation modifier for the vector or element, based on the boolean parameter.
 
template<Accum Acc>
constexpr unary_op< Acc, Operation::Acc_Subop_sub (const Acc &acc)
 Returns a subtraction operation modifier for the given accumulator.
 
template<Accum Acc>
constexpr binary_op< Acc, bool, Operation::Zeroop_zero (const Acc &acc, bool to_zero)
 Zeroes out the given accumulator or not depending on the zero parameter.
 
template<typename T1 , typename T2 >
requires (detail::is_vector_elem_ref_v<T1> || detail::is_vector_elem_ref_v<T2>)
constexpr auto operator& (T1 v1, T2 v2)
 
template<typename T1 , typename T2 >
requires (detail::is_vector_elem_ref_v<T1> || detail::is_vector_elem_ref_v<T2>)
constexpr auto operator+ (T1 v1, T2 v2)
 
template<typename T1 , typename T2 >
requires (detail::is_vector_elem_ref_v<T1> || detail::is_vector_elem_ref_v<T2>)
constexpr auto operator- (T1 v1, T2 v2)
 
template<typename T >
requires (detail::is_vector_elem_ref_v<T>)
constexpr auto operator<< (T v, int n) -> typename T::value_type
 
template<typename T >
requires (detail::is_vector_elem_ref_v<T>)
constexpr auto operator<< (T v, unsigned n) -> typename T::value_type
 
template<typename T >
requires (detail::is_vector_elem_ref_v<T>)
constexpr auto operator>> (T v, int n) -> typename T::value_type
 
template<typename T >
requires (detail::is_vector_elem_ref_v<T>)
constexpr auto operator>> (T v, unsigned n) -> typename T::value_type
 
template<typename T1 , typename T2 >
requires (detail::is_vector_elem_ref_v<T1> || detail::is_vector_elem_ref_v<T2>)
constexpr auto operator^ (T1 v1, T2 v2)
 
template<typename T1 , typename T2 >
requires (detail::is_vector_elem_ref_v<T1> || detail::is_vector_elem_ref_v<T2>)
constexpr auto operator| (T1 v1, T2 v2)
 
template<typename T >
requires (detail::is_vector_elem_ref_v<T>)
constexpr auto operator~ (T v)
 
template<VectorOrOp Vec, typename T2 = Utils::get_prev_integer_type_t<typename Vec::value_type>>
auto pack (const Vec &v) -> vector< T2, Vec::size()>
 Returns a conversion of the passed vector to the next smaller integer datatype, with the same number of elements.
 
template<unsigned N>
void print (const aie::mask< N > &m, bool nl=false, const char *prefix=nullptr)
 Displays the contents of a mask.
 
template<typename C >
requires (Vector<C> || Accum<C>)
void print (const C &c, bool nl=false, const char *prefix=nullptr)
 Displays the contents of a vector or an accumulator.
 
template<typename T , unsigned Elems>
requires (!detail::is_floating_point_v<T>)
void print_fixed (const aie::vector< T, Elems > &v, int scale, bool nl=false, const char *prefix=nullptr)
 Displays the contents of a vector integers represented as real numbers in fixed point.
 
template<typename Matrix >
requires (Vector<Matrix> || Accum<Matrix>)
void print_matrix (const Matrix &m, unsigned cols, const char *prefix=nullptr)
 Displays the contents of a vector or accumulator, arranged in a matrix layout.
 
template<Vector Vec>
Vec::value_type reduce_add (const Vec &v)
 Returns sum of the elements in the input vector.
 
template<Vector Vec, Vector... Others>
auto reduce_add_v (const Vec &v, const Others &... others) -> aie_dm_resource_remove_t< Vec >
 Returns the sums of the elements in the input vectors.
 
template<RealVector Vec>
Vec::value_type reduce_max (const Vec &v)
 Returns the element from the input vector with the largest value.
 
template<RealVector Vec>
Vec::value_type reduce_min (const Vec &v)
 Returns the element from the input vector with the smallest value.
 
template<AccumElemBaseType AccumTag, Vector Vec>
Vec::value_type reduce_mul (const Vec &v)
 
template<Vector Vec>
constexpr Vec::value_type reduce_mul (const Vec &v)
 
template<Vector Vec>
auto reverse (const Vec &v) -> aie_dm_resource_remove_t< Vec >
 Returns a vector whose contents are the same as the input vector, but in reverse order.
 
template<Elem E1, Elem E2, Mask M>
requires (is_valid_elem_op_v<E1, E2>)
vector< operand_base_type_t< E1 >, M::size()> select (const E1 &a, const E2 &b, const M &m)
 Combines the values of the input vector and value into a vector of the same size by using a mask that specifies which is the source input for each element of the output vector.
 
template<Vector Vec, Elem E, Mask M>
requires (is_valid_elem_op_v<E, typename Vec::value_type> && Vec::size() == M::size())
auto select (const Vec &v, E a, const M &m) -> aie_dm_resource_remove_t< Vec >
 Combines the values of the input vector and value into a vector of the same size by using a mask that specifies which is the source input for each element of the output vector.
 
template<Vector Vec1, Vector Vec2, Mask M>
requires (is_same_vector_v<Vec1, Vec2> && Vec1::size() == M::size())
auto select (const Vec1 &v1, const Vec2 &v2, const M &m) -> aie_dm_resource_remove_t< Vec1 >
 Combines the values of the two input vectors into a vector of the same size by using a mask that specifies which is the source input for each element of the output vector.
 
template<Elem E, Vector Vec, Mask M>
requires (is_valid_elem_op_v<E, typename Vec::value_type> && Vec::size() == M::size())
auto select (E a, const Vec &v, const M &m) -> aie_dm_resource_remove_t< Vec >
 Combines the values of the input value and vector into a vector of the same size by using a mask that specifies which is the source input for each element of the output vector.
 
template<Vector Vec>
auto shuffle_down (const Vec &v, unsigned n) -> aie_dm_resource_remove_t< Vec >
 Returns a vector whose contents are the same as the input vector, but shifted down by n.
 
template<Vector Vec>
auto shuffle_down_fill (const Vec &v, const Vec &fill, unsigned n) -> aie_dm_resource_remove_t< Vec >
 Returns a vector whose contents are the same as the input vector, but shifted down by n.
 
template<Vector Vec>
auto shuffle_down_replicate (const Vec &v, unsigned n) -> aie_dm_resource_remove_t< Vec >
 Returns a vector whose contents are the same as the input vector, but shifted down by n.
 
template<Vector Vec>
auto shuffle_down_rotate (const Vec &v, unsigned n) -> aie_dm_resource_remove_t< Vec >
 Returns a vector whose contents are the same as the input vector, but shifted down by n (elements wrap around):
 
template<Vector Vec>
auto shuffle_up (const Vec &v, unsigned n) -> aie_dm_resource_remove_t< Vec >
 Returns a vector whose contents are the same as the input vector, but shifted up by n.
 
template<Vector Vec>
auto shuffle_up_fill (const Vec &v, const Vec &fill, unsigned n) -> aie_dm_resource_remove_t< Vec >
 Returns a vector whose contents are the same as the input vector, but shifted up by n.
 
template<Vector Vec>
auto shuffle_up_replicate (const Vec &v, unsigned n) -> aie_dm_resource_remove_t< Vec >
 Returns a vector whose contents are the same as the input vector, but shifted up by n.
 
template<Vector Vec>
auto shuffle_up_rotate (const Vec &v, unsigned n) -> aie_dm_resource_remove_t< Vec >
 Returns a vector whose contents are the same as the input vector, but shifted up by n (elements wrap around):
 
template<RealVector Vec>
requires (arch::is(arch::AIE))
auto sin (const Vec &v) -> aie_dm_resource_remove_t< Vec >
 Performs a sine operation on all elements in the input vector.
 
template<typename E >
requires (arch::is(arch::AIE) && (RealElem<E> || std::is_integral_v<E>))
auto sin (E a)
 Performs a sine operation on a single value.
 
template<RealVector Vec>
requires (arch::is(arch::AIE))
auto sincos (const Vec &v) -> std::pair< aie_dm_resource_remove_t< Vec >, aie_dm_resource_remove_t< Vec > >
 Same as sin and cos, but performs both operations and returns a std::pair of vectors of result values.
 
template<typename E >
requires (arch::is(arch::AIE) && (RealElem<E> || std::is_integral_v<E>))
auto sincos (E a)
 Performs both sin and cos, and returns both values as an std::pair (sin first, then cos).
 
template<RealVector Vec>
requires (arch::is(arch::AIE))
auto sincos_complex (const Vec &v) -> vector< std::conditional_t< Vec::is_floating_point(), cfloat, cint16 >, Vec::size()>
 Same as sincos, but returns both values as the real and imaginary parts in a vector of complex values (cos in the real part, sin in the imaginary).
 
template<typename E >
requires (arch::is(arch::AIE) && (RealElem<E> || std::is_integral_v<E>))
auto sincos_complex (E a) -> std::conditional_t< detail::is_floating_point_v< operand_base_type_t< E > >, cfloat, cint16 >
 Same as sincos, but returns both values as the real and imaginary parts of a complex number (cos in the real part, sin in the imaginary part).
 
template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac (const Acc &acc, const VecCoeff &coeff, const VecData &data, unsigned data_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac (const Acc &acc, const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned data_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac_antisym (const Acc &acc, const VecCoeff &coeff, const VecData &data, unsigned data_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac_antisym (const Acc &acc, const VecCoeff &coeff, const VecData &ldata, unsigned ldata_start, const VecData &rdata, unsigned rdata_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac_antisym (const Acc &acc, const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned data_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac_antisym (const Acc &acc, const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned ldata_start, unsigned rdata_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac_antisym (const Acc &acc, const VecCoeff &coeff, unsigned coeff_start, const VecData &ldata, unsigned ldata_start, const VecData &rdata, unsigned rdata_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac_antisym_uct (const Acc &acc, const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned data_start, unsigned uct_shift)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac_antisym_uct (const Acc &acc, const VecCoeff &coeff, unsigned coeff_start, const VecData &ldata, unsigned ldata_start, const VecData &rdata, unsigned rdata_start, unsigned uct_shift)
 
template<unsigned Outputs, unsigned Channels, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE_ML) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Outputs * Channels))
auto sliding_mac_ch (const Acc &acc, const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned data_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac_sym (const Acc &acc, const VecCoeff &coeff, const VecData &data, unsigned data_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac_sym (const Acc &acc, const VecCoeff &coeff, const VecData &ldata, unsigned ldata_start, const VecData &rdata, unsigned rdata_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac_sym (const Acc &acc, const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned data_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac_sym (const Acc &acc, const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned ldata_start, unsigned rdata_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac_sym (const Acc &acc, const VecCoeff &coeff, unsigned coeff_start, const VecData &ldata, unsigned ldata_start, const VecData &rdata, unsigned rdata_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac_sym_uct (const Acc &acc, const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned data_start, unsigned uct_shift)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto sliding_mac_sym_uct (const Acc &acc, const VecCoeff &coeff, unsigned coeff_start, const VecData &ldata, unsigned ldata_start, const VecData &rdata, unsigned rdata_start, unsigned uct_shift)
 
template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul (const VecCoeff &coeff, const VecData &data, unsigned data_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul (const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned data_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul_antisym (const VecCoeff &coeff, const VecData &data, unsigned data_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, typename VecCoeff , typename VecData >
requires (arch::is(arch::AIE) && VectorOrOp<VecCoeff> && VectorOrOp<VecData> && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul_antisym (const VecCoeff &coeff, const VecData &ldata, unsigned ldata_start, const VecData &rdata, unsigned rdata_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul_antisym (const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned data_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul_antisym (const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned ldata_start, unsigned rdata_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul_antisym (const VecCoeff &coeff, unsigned coeff_start, const VecData &ldata, unsigned ldata_start, const VecData &rdata, unsigned rdata_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul_antisym_uct (const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned data_start, unsigned uct_shift)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul_antisym_uct (const VecCoeff &coeff, unsigned coeff_start, const VecData &ldata, unsigned ldata_start, const VecData &rdata, unsigned rdata_start, unsigned uct_shift)
 
template<unsigned Outputs, unsigned Channels, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE_ML) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul_ch (const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned data_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul_sym (const VecCoeff &coeff, const VecData &data, unsigned data_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, typename VecCoeff , typename VecData >
requires (arch::is(arch::AIE) && VectorOrOp<VecCoeff> && VectorOrOp<VecData> && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul_sym (const VecCoeff &coeff, const VecData &ldata, unsigned ldata_start, const VecData &rdata, unsigned rdata_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul_sym (const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned data_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul_sym (const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned ldata_start, unsigned rdata_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul_sym (const VecCoeff &coeff, unsigned coeff_start, const VecData &ldata, unsigned ldata_start, const VecData &rdata, unsigned rdata_start)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul_sym_uct (const VecCoeff &coeff, unsigned coeff_start, const VecData &data, unsigned data_start, unsigned uct_shift)
 
template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto sliding_mul_sym_uct (const VecCoeff &coeff, unsigned coeff_start, const VecData &ldata, unsigned ldata_start, const VecData &rdata, unsigned rdata_start, unsigned uct_shift)
 
template<unsigned Elems>
requires (arch::is(arch::AIE))
accum< accfloat, Elems > sqrt (const accum< accfloat, Elems > &v)
 
template<Vector Vec>
auto sqrt (const Vec &v) -> aie_dm_resource_remove_t< Vec >
 
template<Elem E>
auto sqrt (E a)
 
template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T1, ElemBaseType T2>
requires (std::is_same_v<T2, aie_dm_resource_remove_t<T1>>)
T1 * store_unaligned_v (T1 *ptr, const vector< T2, Elems > &v, unsigned aligned_elems=1)
 Store a vector of Elems size whose elements have type T.
 
template<aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T1, ElemBaseType T2, unsigned Elems>
requires (std::is_same_v<aie_dm_resource_remove_t<T1>, aie_dm_resource_remove_t<T2>>)
T1 * store_v (T1 *ptr, const vector< T2, Elems > &v)
 Store a vector of Elems size whose elements have type T.
 
template<AccumOrOp Acc, Vector Vec>
requires (Acc::size() == Vec::size())
constexpr auto sub (const Acc &acc, const Vec &v) -> result_type_t< Acc >
 Returns an accumulator with the element-wise subtraction of the input accumulator and vector.
 
template<AccumOrOp Acc, Elem E>
auto sub (const Acc &acc, E a) -> result_type_t< Acc >
 Returns an accumulator with the subtraction of all the elements of the input accumulator and a value.
 
template<AccumOrOp Acc1, AccumOrOp Acc2>
requires (arch::is(arch::AIE_ML) && is_same_accum_v<result_type_t<Acc1>, result_type_t<Acc2>>)
auto sub (const Acc1 &acc1, const Acc2 &acc2) -> result_type_t< Acc1 >
 Returns an accumulator with the element-wise subtraction of the two input accumulators.
 
template<Vector Vec, Elem E>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
auto sub (const Vec &v, E a) -> aie_dm_resource_remove_t< Vec >
 Returns a vector with the subtraction of the elements of the input vector and a value.
 
template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto sub (const Vec1 &v1, const Vec2 &v2) -> aie_dm_resource_remove_t< Vec1 >
 Returns a vector with the element-wise subtraction of the two input vectors.
 
template<Elem E, Vector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
auto sub (E a, const Vec &v) -> aie_dm_resource_remove_t< Vec >
 Returns a vector with the subtraction of a value and all the elements of the input vector.
 
template<typename T >
requires (detail::is_floating_point_v<T>)
sub (T a, T b)
 
template<typename T >
 tlast (const T &, bool) -> tlast< const T &, bool >
 
template<typename T >
 tlast (T &, bool &) -> tlast< T &, bool & >
 
template<typename TR = cint32>
requires (Utils::is_one_of_v<TR, cint16, cint32>)
auto to_fixed (cfloat a, int shift=0)
 Convert a floating point value into a fixed-point value.
 
template<typename TR = int32, unsigned Elems>
requires (arch::is(arch::AIE_ML))
auto to_fixed (const vector< bfloat16, Elems > &v, int shift=0) -> vector< TR, Elems >
 Convert the elements in a bfloat16 vector into fixed-point values.
 
template<typename TR = cint32, unsigned Elems>
requires ((arch::is(arch::AIE) || (arch::is(arch::AIE_ML) && __AIE_API_COMPLEX_FP32_EMULATION__ == 1)) && Utils::is_one_of_v<TR, cint16, cint32>)
auto to_fixed (const vector< cfloat, Elems > &v, int shift=0) -> vector< TR, Elems >
 Convert the elements in a floating point vector into fixed-point values.
 
template<typename TR = int32, unsigned Elems>
requires (Utils::is_one_of_v<TR, int16, int32>)
auto to_fixed (const vector< float, Elems > &v, int shift=0) -> vector< TR, Elems >
 Convert the elements in a floating point vector into fixed-point values.
 
template<typename TR = int32>
requires (Utils::is_one_of_v<TR, int8, int16, int32>)
auto to_fixed (float a, int shift=0)
 Convert a floating point value into a fixed-point value.
 
template<typename TR = float, typename T , unsigned Elems>
requires (Utils::is_one_of_v<T, int16, int32>)
auto to_float (const vector< T, Elems > &v, int shift=0) -> vector< TR, Elems >
 Convert the elements in a real fixed-point vector into floating point values.
 
template<typename TR = cfloat, typename T , unsigned Elems>
requires (Utils::is_one_of_v<T, cint16, cint32>)
auto to_float (const vector< T, Elems > &v, int shift=0) -> vector< TR, Elems >
 Convert the elements in a complex fixed-point vector into floating point values.
 
template<typename TR = float>
auto to_float (int a, int shift=0)
 Convert a fixed-point value into a floating point value.
 
template<typename TR = cfloat, typename T >
requires (Utils::is_one_of_v<T, cint16, cint32>)
auto to_float (T a, int shift=0)
 Convert a complex fixed-point value into a floating point value.
 
template<typename TR , typename T >
requires (AccumOrOp<T> || MmulOrOp<T>)
vector< TR, T::size()> to_vector (const T &acc, int shift=0)
 Returns the values of the passed accumulator in a vector of the requested type.
 
template<Vector Vec>
auto transpose (const Vec &v, unsigned Row, unsigned Col) -> aie_dm_resource_remove_t< Vec >
 The input vector is interpreted as a row-major matrix of the dimensions specified by Row and Col, the function returns a vector ordered as the transpose of the specified matrix.
 
template<VectorOrOp Vec, typename T2 = Utils::get_next_integer_type_t<typename Vec::value_type>>
requires (Utils::is_one_of_v<T2, int8, uint8, int16, uint16>)
auto unpack (const Vec &v) -> vector< T2, Vec::size()>
 Returns a conversion of the passed vector to the next larger integer datatype, with the same number of elements.
 
template<Vector Vec>
constexpr auto upshift (const Vec &v, unsigned shift) -> aie_dm_resource_remove_t< Vec >
 Returns a vector with all values upshifted by specified number of bits.
 
template<detail::NativeVectorType T>
 vector (T) -> vector< typename detail::native_vector_traits< T >::value_type, detail::native_vector_traits< T >::elems >
 Template deduction guidelines for aie::vector.
 
template<ElemBaseType DstT, Accum Acc>
requires (arch::is(arch::AIE_ML))
auto vector_cast (const Acc &acc)
 Reinterpret an accumulator as a vector.
 
template<ElemBaseType DstT, Vector Vec>
auto vector_cast (const Vec &v)
 Reinterpret a vector using a different element type.
 
template<AccumElemBaseType DstTag, Vector Vec>
requires (arch::is(arch::AIE_ML))
auto vector_cast (const Vec &v)
 Reinterpret a vector as an accumulator.
 
template<ElemBaseType T>
constexpr T zero ()
 Returns the zero value for the requested data type.
 
template<ElemBaseType T, unsigned Elems = native_vector_length_v<T>>
vector< T, Elems > zeros ()
 Returns a vector whose elements are initialized to zero.
 
template<AccumElemBaseType AccumTag, unsigned Elems = native_vector_length_v<AccumTag>>
accum< AccumTag, Elems > zeros ()
 Returns a vector whose elements are initialized to zero.
 

Class Documentation

◆ aie::binary_op

struct aie::binary_op
template<typename Parent1, typename Parent2, Operation Op>
struct aie::binary_op< Parent1, Parent2, Op >

◆ aie::is_same_vector

struct aie::is_same_vector
template<Vector Vec1, Vector Vec2>
struct aie::is_same_vector< Vec1, Vec2 >

◆ aie::op_result_helper

struct aie::op_result_helper
template<typename T, Operation Op>
struct aie::op_result_helper< T, Op >
Class Members
typedef T type

◆ aie::op_result_helper< binary_op< Parent1, Parent2, ParentOp >, Op >

struct aie::op_result_helper< binary_op< Parent1, Parent2, ParentOp >, Op >
template<typename Parent1, typename Parent2, Operation ParentOp, Operation Op>
struct aie::op_result_helper< binary_op< Parent1, Parent2, ParentOp >, Op >
Class Members
typedef typename result_type, Op >::type type

◆ aie::op_result_helper< Parent, Operation::None >

struct aie::op_result_helper< Parent, Operation::None >
template<typename Parent>
struct aie::op_result_helper< Parent, Operation::None >
Class Members
typedef Parent type

◆ aie::op_result_helper< unaligned_vector_ref< T, Elems, Resource >, Op >

struct aie::op_result_helper< unaligned_vector_ref< T, Elems, Resource >, Op >
template<typename T, unsigned Elems, aie_dm_resource Resource, Operation Op>
requires (Op != Operation::None)
struct aie::op_result_helper< unaligned_vector_ref< T, Elems, Resource >, Op >
Class Members
typedef vector< T, Elems > type

◆ aie::op_result_helper< unary_op< Parent, ParentOp >, Op >

struct aie::op_result_helper< unary_op< Parent, ParentOp >, Op >
template<typename Parent, Operation ParentOp, Operation Op>
struct aie::op_result_helper< unary_op< Parent, ParentOp >, Op >
Class Members
typedef typename result_type, Op >::type type

◆ aie::op_result_helper< vector_elem_const_ref< T, Elems >, Op >

struct aie::op_result_helper< vector_elem_const_ref< T, Elems >, Op >
template<typename T, unsigned Elems, Operation Op>
requires (Op != Operation::None)
struct aie::op_result_helper< vector_elem_const_ref< T, Elems >, Op >
Class Members
typedef T type

◆ aie::op_result_helper< vector_elem_ref< T, Elems >, Op >

struct aie::op_result_helper< vector_elem_ref< T, Elems >, Op >
template<typename T, unsigned Elems, Operation Op>
requires (Op != Operation::None)
struct aie::op_result_helper< vector_elem_ref< T, Elems >, Op >
Class Members
typedef T type

◆ aie::op_result_helper< vector_ref< T, Elems, Resource >, Op >

struct aie::op_result_helper< vector_ref< T, Elems, Resource >, Op >
template<typename T, unsigned Elems, aie_dm_resource Resource, Operation Op>
requires (Op != Operation::None)
struct aie::op_result_helper< vector_ref< T, Elems, Resource >, Op >
Class Members
typedef vector< T, Elems > type

◆ aie::op_value_type_helper

struct aie::op_value_type_helper
template<typename T>
struct aie::op_value_type_helper< T >
Class Members
typedef T type

◆ aie::op_value_type_helper< binary_op< Parent1, Parent2, Op > >

struct aie::op_value_type_helper< binary_op< Parent1, Parent2, Op > >
template<typename Parent1, typename Parent2, Operation Op>
struct aie::op_value_type_helper< binary_op< Parent1, Parent2, Op > >
Class Members
typedef typename value_type type

◆ aie::op_value_type_helper< mmul< M, K, N, TypeA, TypeB, AccumTag > >

struct aie::op_value_type_helper< mmul< M, K, N, TypeA, TypeB, AccumTag > >
template<unsigned M, unsigned K, unsigned N, ElemBaseType TypeA, ElemBaseType TypeB, AccumElemBaseType AccumTag>
struct aie::op_value_type_helper< mmul< M, K, N, TypeA, TypeB, AccumTag > >
Class Members
typedef typename value_type type

◆ aie::op_value_type_helper< unaligned_vector_ref< T, Elems, Resource > >

struct aie::op_value_type_helper< unaligned_vector_ref< T, Elems, Resource > >
template<typename T, unsigned Elems, aie_dm_resource Resource>
struct aie::op_value_type_helper< unaligned_vector_ref< T, Elems, Resource > >
Class Members
typedef typename value_type type

◆ aie::op_value_type_helper< unary_op< Parent, Op > >

struct aie::op_value_type_helper< unary_op< Parent, Op > >
template<typename Parent, Operation Op>
struct aie::op_value_type_helper< unary_op< Parent, Op > >
Class Members
typedef typename value_type type

◆ aie::op_value_type_helper< vector< T, Elems > >

struct aie::op_value_type_helper< vector< T, Elems > >
template<typename T, unsigned Elems>
struct aie::op_value_type_helper< vector< T, Elems > >
Class Members
typedef typename value_type type

◆ aie::op_value_type_helper< vector_elem_const_ref< T, Elems > >

struct aie::op_value_type_helper< vector_elem_const_ref< T, Elems > >
template<typename T, unsigned Elems>
struct aie::op_value_type_helper< vector_elem_const_ref< T, Elems > >
Class Members
typedef typename value_type type

◆ aie::op_value_type_helper< vector_elem_ref< T, Elems > >

struct aie::op_value_type_helper< vector_elem_ref< T, Elems > >
template<typename T, unsigned Elems>
struct aie::op_value_type_helper< vector_elem_ref< T, Elems > >
Class Members
typedef typename value_type type

◆ aie::op_value_type_helper< vector_ref< T, Elems, Resource > >

struct aie::op_value_type_helper< vector_ref< T, Elems, Resource > >
template<typename T, unsigned Elems, aie_dm_resource Resource>
struct aie::op_value_type_helper< vector_ref< T, Elems, Resource > >
Class Members
typedef typename value_type type

◆ aie::operand_base_type

struct aie::operand_base_type
template<typename T>
struct aie::operand_base_type< T >
Class Members
typedef aie_dm_resource_remove_t< T > type

◆ aie::operand_base_type< binary_op< Parent1, Parent2, Op > >

struct aie::operand_base_type< binary_op< Parent1, Parent2, Op > >
template<typename Parent1, typename Parent2, Operation Op>
struct aie::operand_base_type< binary_op< Parent1, Parent2, Op > >
Class Members
typedef typename value_type type

◆ aie::operand_base_type< unary_op< Parent, Op > >

struct aie::operand_base_type< unary_op< Parent, Op > >
template<typename Parent, Operation Op>
struct aie::operand_base_type< unary_op< Parent, Op > >
Class Members
typedef typename value_type type

◆ aie::operand_base_type< vector_elem_const_ref< T, Elems > >

struct aie::operand_base_type< vector_elem_const_ref< T, Elems > >
template<typename T, unsigned Elems>
struct aie::operand_base_type< vector_elem_const_ref< T, Elems > >
Class Members
typedef T type

◆ aie::operand_base_type< vector_elem_ref< T, Elems > >

struct aie::operand_base_type< vector_elem_ref< T, Elems > >
template<typename T, unsigned Elems>
struct aie::operand_base_type< vector_elem_ref< T, Elems > >
Class Members
typedef T type

◆ aie::result_type_helper

struct aie::result_type_helper
template<typename T>
struct aie::result_type_helper< T >

◆ aie::result_type_helper< T >

struct aie::result_type_helper< T >
template<Accum T>
requires is_op_v<T>
struct aie::result_type_helper< T >
Class Members
typedef T type
typedef T type
typedef operand_base_type_t< T > type
typedef typename result_type type

◆ aie::unary_op

struct aie::unary_op
template<typename Parent, Operation Op>
struct aie::unary_op< Parent, Op >

Typedef Documentation

◆ AccumClass

◆ cfp_accum

template<unsigned MinAccumBits, unsigned Elems>
using aie::cfp_accum = typedef accum<detail::accum_tag_t<AccumClass::CFP, detail::to_native_accum_bits<AccumClass::CFP, MinAccumBits>()>, Elems>

◆ cfr

template<typename T >
using aie::cfr = typedef detail::cfr<T>

◆ cint_accum

template<unsigned MinAccumBits, unsigned Elems>
using aie::cint_accum = typedef accum<detail::accum_tag_t<AccumClass::CInt, detail::to_native_accum_bits<AccumClass::CInt, MinAccumBits>()>, Elems>

◆ const_pattern_iterator

template<typename T , unsigned Steps>
using aie::const_pattern_iterator = typedef detail::const_pattern_iterator<T, Steps>

◆ const_restrict_vector_iterator

template<DecoratedElemBaseType T, unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none>
using aie::const_restrict_vector_iterator = typedef detail::const_restrict_vector_iterator<T, Elems, 1, Resource>

◆ dim_2d

using aie::dim_2d = typedef detail::dim_2d

◆ dim_3d

using aie::dim_3d = typedef detail::dim_3d

◆ extents

template<size_t... Extents>
using aie::extents = typedef detail::extents<Extents...>

◆ fp_accum

template<unsigned MinAccumBits, unsigned Elems>
using aie::fp_accum = typedef accum<detail::accum_tag_t<AccumClass::FP, detail::to_native_accum_bits<AccumClass::FP, MinAccumBits>()>, Elems>

◆ int_accum

template<unsigned MinAccumBits, unsigned Elems>
using aie::int_accum = typedef accum<detail::accum_tag_t<AccumClass::Int, detail::to_native_accum_bits<AccumClass::Int, MinAccumBits>()>, Elems>

◆ mdspan

template<typename T , size_t... Extents>
using aie::mdspan = typedef detail::basic_mdspan<T, extents<Extents...>, void, detail::accessor_basic<T> >

◆ op_result_type_t

template<typename T , Operation Op>
using aie::op_result_type_t = typedef typename op_result_helper<T, Op>::type

◆ op_value_type_t

template<typename T >
using aie::op_value_type_t = typedef typename op_value_type_helper<aie_dm_resource_remove_t<T> >::type

◆ operand_base_type_t

template<typename T >
using aie::operand_base_type_t = typedef typename operand_base_type<Utils::remove_all_t<T> >::type

◆ pattern_iterator

template<typename T , unsigned Steps>
using aie::pattern_iterator = typedef detail::pattern_iterator<T, Steps>

◆ restrict_mdspan

template<typename T , size_t... Extents>
using aie::restrict_mdspan = typedef detail::basic_mdspan<T, extents<Extents...>, void, detail::accessor_restrict<T> >

◆ restrict_span

template<typename T , size_t Extents1 = dynamic_extent>
using aie::restrict_span = typedef restrict_span_1d<T, Extents1>

◆ restrict_span_1d

template<typename T , size_t Extents1 = dynamic_extent>
using aie::restrict_span_1d = typedef restrict_mdspan<T, Extents1>

◆ restrict_span_2d

template<typename T , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent>
using aie::restrict_span_2d = typedef restrict_mdspan<T, Extents1, Extents2>

◆ restrict_span_3d

template<typename T , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent>
using aie::restrict_span_3d = typedef restrict_mdspan<T, Extents1, Extents2, Extents3>

◆ restrict_span_4d

template<typename T , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent, size_t Extents4 = dynamic_extent>
using aie::restrict_span_4d = typedef restrict_mdspan<T, Extents1, Extents2, Extents3, Extents4>

◆ restrict_tiled_mdspan

template<typename T , typename TileExtents , size_t... Extents>
using aie::restrict_tiled_mdspan = typedef detail::basic_tiled_mdspan<T, TileExtents, extents<Extents...>, void, detail::accessor_restrict<T> >

◆ restrict_tiled_span

template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent>
using aie::restrict_tiled_span = typedef tiled_span_1d<T, TileExtents, Extents1>

◆ restrict_tiled_span_1d

template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent>
using aie::restrict_tiled_span_1d = typedef tiled_mdspan<T, TileExtents, Extents1>

◆ restrict_tiled_span_2d

template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent>
using aie::restrict_tiled_span_2d = typedef tiled_mdspan<T, TileExtents, Extents1, Extents2>

◆ restrict_tiled_span_3d

template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent>
using aie::restrict_tiled_span_3d = typedef tiled_mdspan<T, TileExtents, Extents1, Extents2, Extents3>

◆ restrict_tiled_span_4d

template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent, size_t Extents4 = dynamic_extent>
using aie::restrict_tiled_span_4d = typedef tiled_mdspan<T, TileExtents, Extents1, Extents2, Extents3, Extents4>

◆ restrict_vector_iterator

template<DecoratedElemBaseType T, unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none>
using aie::restrict_vector_iterator = typedef detail::restrict_vector_iterator<T, Elems, 1, Resource>

◆ result_type_t

template<typename T >
using aie::result_type_t = typedef typename result_type_helper<T>::type

◆ sliding_window_dim_1d

◆ sliding_window_dim_2d

◆ sliding_window_dim_3d

◆ span

template<typename T , size_t Extents1 = dynamic_extent>
using aie::span = typedef span_1d<T, Extents1>

◆ span_1d

template<typename T , size_t Extents1 = dynamic_extent>
using aie::span_1d = typedef mdspan<T, Extents1>

◆ span_2d

template<typename T , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent>
using aie::span_2d = typedef mdspan<T, Extents1, Extents2>

◆ span_3d

template<typename T , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent>
using aie::span_3d = typedef mdspan<T, Extents1, Extents2, Extents3>

◆ span_4d

template<typename T , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent, size_t Extents4 = dynamic_extent>
using aie::span_4d = typedef mdspan<T, Extents1, Extents2, Extents3, Extents4>

◆ tile

using aie::tile = typedef detail::tile

◆ tile_id

using aie::tile_id = typedef detail::tile_id

◆ tiled_mdspan

template<typename T , typename TileExtents , size_t... Extents>
using aie::tiled_mdspan = typedef detail::basic_tiled_mdspan<T, TileExtents, extents<Extents...>, void, detail::accessor_basic<T> >

◆ tiled_span

template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent>
using aie::tiled_span = typedef tiled_span_1d<T, TileExtents, Extents1>

◆ tiled_span_1d

template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent>
using aie::tiled_span_1d = typedef tiled_mdspan<T, TileExtents, Extents1>

◆ tiled_span_2d

template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent>
using aie::tiled_span_2d = typedef tiled_mdspan<T, TileExtents, Extents1, Extents2>

◆ tiled_span_3d

template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent>
using aie::tiled_span_3d = typedef tiled_mdspan<T, TileExtents, Extents1, Extents2, Extents3>

◆ tiled_span_4d

template<typename T , typename TileExtents , size_t Extents1 = dynamic_extent, size_t Extents2 = dynamic_extent, size_t Extents3 = dynamic_extent, size_t Extents4 = dynamic_extent>
using aie::tiled_span_4d = typedef tiled_mdspan<T, TileExtents, Extents1, Extents2, Extents3, Extents4>

◆ unaligned_vector_ref

template<ElemBaseType T, unsigned Elems = native_vector_length_v<T>, aie_dm_resource Resource = aie_dm_resource::none>
using aie::unaligned_vector_ref = typedef detail::unaligned_vector_ref<T, Elems, Resource>

Type for references to vector registers.

The documentation of this class and its members can be found at detail::unaligned_vector_ref.

Template Parameters
TType of the elements contained in the vector. It must meet ElemBaseType.
ElemsNumber of elements in the vector.

◆ vector_ref

template<ElemBaseType T, unsigned Elems = native_vector_length_v<T>, aie_dm_resource Resource = aie_dm_resource::none>
using aie::vector_ref = typedef detail::vector_ref<T, Elems, Resource>

Type for references to vector registers.

The documentation of this class and its members can be found at detail::vector_ref.

Template Parameters
TType of the elements contained in the vector. It must meet ElemBaseType.
ElemsNumber of elements in the vector.

Enumeration Type Documentation

◆ Operation

enum class aie::Operation
strong
Enumerator
None 
Acc_Add 
Acc_Sub 
Abs 
Conj 
Transpose 
Max 
Min 
Sign 
Zero 

Function Documentation

◆ accum()

template<detail::NativeAccumType T>
aie::accum ( ) -> accum< typename detail::native_accum_traits< T >::value_type, detail::native_accum_traits< T >::elems >

Template deduction guidelines for aie::accum.

◆ add()

template<typename T >
requires (detail::is_floating_point_v<T>)
T aie::add ( a,
b 
)

◆ add_reduce()

template<Vector Vec>
Vec::value_type aie::add_reduce ( const Vec &  v)

◆ add_reduce_v()

template<Vector Vec, Vector... Others>
auto aie::add_reduce_v ( const Vec &  v,
const Others &...  others 
) -> aie_dm_resource_remove_t<Vec>

◆ begin_vectors()

template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType... Types>
constexpr auto aie::begin_vectors ( Types *...  ptrs)
constexpr

◆ cbegin_vectors()

template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType... Types>
constexpr auto aie::cbegin_vectors ( const Types *...  ptrs)
constexpr

◆ contains()

template<Elem E, Vector Vec>
requires (is_valid_elem_op_v<E, typename Vec::value_type>)
bool aie::contains ( a,
const Vec &  v 
)

◆ div()

float aie::div ( float  a,
float  b 
)
inline

◆ interleave_butterfly()

template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto aie::interleave_butterfly ( const Vec1 &  v1,
const Vec2 &  v2,
unsigned  step 
) -> std::pair<aie_dm_resource_remove_t<Vec1>, aie_dm_resource_remove_t<Vec1>>

◆ interleave_butterfly_half()

template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto aie::interleave_butterfly_half ( const Vec1 &  v1,
const Vec2 &  v2,
unsigned  step 
) -> std::pair<aie_dm_resource_remove_t<Vec1>, aie_dm_resource_remove_t<Vec1>>

◆ interleave_crossover()

template<Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto aie::interleave_crossover ( const Vec1 &  v1,
const Vec2 &  v2,
unsigned  step 
) -> std::pair<aie_dm_resource_remove_t<Vec1>, aie_dm_resource_remove_t<Vec1>>

◆ interleave_custom()

template<Vector Vec1, Vector Vec2, typename... Select>
requires (is_same_vector_v<Vec1, Vec2> && sizeof...(Select) == Vec1::size())
auto aie::interleave_custom ( const Vec1 &  v1,
const Vec2 &  v2,
Select...  select 
) -> std::pair<aie_dm_resource_remove_t<Vec1>, aie_dm_resource_remove_t<Vec1>>

◆ interleave_custom_static()

template<unsigned S0, unsigned S1, unsigned S2, unsigned S3, unsigned S4, unsigned S5, unsigned S6, unsigned S7, unsigned S8, unsigned S9, unsigned S10, unsigned S11, unsigned S12, unsigned S13, unsigned S14, unsigned S15, unsigned S16, unsigned S17, unsigned S18, unsigned S19, unsigned S20, unsigned S21, unsigned S22, unsigned S23, unsigned S24, unsigned S25, unsigned S26, unsigned S27, unsigned S28, unsigned S29, unsigned S30, unsigned S31, Vector Vec1, Vector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto aie::interleave_custom_static ( const Vec1 &  v1,
const Vec2 &  v2 
) -> std::pair<aie_dm_resource_remove_t<Vec1>, aie_dm_resource_remove_t<Vec1>>

◆ is_ct_elem_zero()

template<typename T , Elem E>
constexpr bool aie::is_ct_elem_zero ( a)
constexpr

◆ mac()

template<typename TR , typename T1 , typename T2 >
requires (detail::is_floating_point_v<T1> && detail::is_floating_point_v<T2> && std::is_same_v<decltype(mul(a, b)), TR>)
TR aie::mac ( TR  c,
T1  a,
T2  b 
)

◆ make_restrict_tensor_buffer_stream()

template<aie_dm_resource Resource = aie_dm_resource::none, typename T , typename TensorDescriptor >
constexpr auto aie::make_restrict_tensor_buffer_stream ( T *__restrict  base,
const TensorDescriptor &  tensor_desc 
)
constexpr

◆ make_tensor_buffer_stream()

template<aie_dm_resource Resource = aie_dm_resource::none, typename T , typename TensorDescriptor >
constexpr auto aie::make_tensor_buffer_stream ( T *  base,
const TensorDescriptor &  tensor_desc 
)
constexpr

◆ make_tensor_descriptor()

template<typename T , unsigned Elems, typename... Args>
requires (arch::is(arch::AIE_ML) && (std::is_same_v<Args, tensor_dim> && ...))
constexpr auto aie::make_tensor_descriptor ( Args &&...  args)
constexpr

◆ make_tensor_descriptor_bytes()

template<typename T , unsigned Elems, typename... Args>
requires (arch::is(arch::AIE_ML) && (std::is_same_v<Args, tensor_dim> && ...))
constexpr auto aie::make_tensor_descriptor_bytes ( Args &&...  args)
constexpr

◆ make_tensor_descriptor_from_native()

template<typename T , unsigned Elems, typename... Args>
constexpr auto aie::make_tensor_descriptor_from_native ( Args &&...  args)
constexpr

◆ make_tensor_descriptor_from_native_bytes()

template<typename T , unsigned Elems, typename... Args>
constexpr auto aie::make_tensor_descriptor_from_native_bytes ( Args &&...  args)
constexpr

◆ make_unaligned_vector_input_buffer_stream()

template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
auto aie::make_unaligned_vector_input_buffer_stream ( const T *  ptr) -> unaligned_vector_input_buffer_stream<T, Elems, Resource>

◆ make_unaligned_vector_output_buffer_stream()

template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
auto aie::make_unaligned_vector_output_buffer_stream ( T *  ptr) -> unaligned_vector_output_buffer_stream<T, Elems, Resource>

◆ make_vector_input_buffer_stream()

template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
auto aie::make_vector_input_buffer_stream ( const T *  ptr) -> vector_input_buffer_stream<T, Elems, Resource>

◆ make_vector_output_buffer_stream()

template<unsigned Elems, aie_dm_resource Resource = aie_dm_resource::none, DecoratedElemBaseType T>
auto aie::make_vector_output_buffer_stream ( T *  ptr) -> vector_output_buffer_stream<T, Elems, Resource>

◆ max_cmp()

template<RealVector Vec1, RealVector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto aie::max_cmp ( const Vec1 &  v1,
const Vec2 &  v2 
) -> std::tuple<aie_dm_resource_remove_t<Vec1>, mask<Vec1::size()>>

◆ max_reduce()

template<RealVector Vec>
Vec::value_type aie::max_reduce ( const Vec &  v)

◆ min_cmp()

template<RealVector Vec1, RealVector Vec2>
requires (is_same_vector_v<Vec1, Vec2>)
auto aie::min_cmp ( const Vec1 &  v1,
const Vec2 &  v2 
) -> std::tuple<aie_dm_resource_remove_t<Vec1>, mask<Vec1::size()>>

◆ min_reduce()

template<RealVector Vec>
Vec::value_type aie::min_reduce ( const Vec &  v)

◆ mmac_fn() [1/2]

template<unsigned M, unsigned K, unsigned N, typename Acc , Vector VecA, Vector VecB>
requires ((Acc::accum_type::size() == M * N) && (VecA::size() == M * K) && (VecB::size() == K * N) && is_valid_mul_op_v<typename VecA::value_type, typename VecB::value_type> && is_mmul_v<Acc>)
auto aie::mmac_fn ( Acc &  c,
const VecA &  a,
const VecB &  b 
)

◆ mmac_fn() [2/2]

template<unsigned M, unsigned K, unsigned N, Accum Acc, Vector VecA, Vector VecB>
requires ((Acc::size() == M * N) && (VecA::size() == M * K) && (VecB::size() == K * N) && is_valid_mul_op_v<typename VecA::value_type, typename VecB::value_type>)
auto aie::mmac_fn ( const Acc &  c,
const VecA &  a,
const VecB &  b 
)

◆ mmul_fn()

template<unsigned M, unsigned K, unsigned N, AccumElemBaseType AccumTag = accauto, Vector VecA, Vector VecB>
requires ((VecA::size() == M * K) && (VecB::size() == K * N) && is_valid_mul_op_v<typename VecA::value_type, typename VecB::value_type>)
auto aie::mmul_fn ( const VecA &  a,
const VecB &  b 
)

◆ msc()

template<typename TR , typename T1 , typename T2 >
requires (detail::is_floating_point_v<T1> && detail::is_floating_point_v<T2> && std::is_same_v<decltype(mul(a, b)), TR>)
TR aie::msc ( TR  c,
T1  a,
T2  b 
)

◆ mul()

template<typename T1 , typename T2 >
requires (detail::is_floating_point_v<T1> && detail::is_floating_point_v<T2>)
auto aie::mul ( T1  a,
T2  b 
)

◆ mul_reduce() [1/2]

template<AccumElemBaseType AccumTag, Vector Vec>
Vec::value_type aie::mul_reduce ( const Vec &  v)

◆ mul_reduce() [2/2]

template<Vector Vec>
constexpr Vec::value_type aie::mul_reduce ( const Vec &  v)
constexpr

◆ operator&()

template<typename T1 , typename T2 >
requires (detail::is_vector_elem_ref_v<T1> || detail::is_vector_elem_ref_v<T2>)
constexpr auto aie::operator& ( T1  v1,
T2  v2 
)
constexpr

◆ operator+()

template<typename T1 , typename T2 >
requires (detail::is_vector_elem_ref_v<T1> || detail::is_vector_elem_ref_v<T2>)
constexpr auto aie::operator+ ( T1  v1,
T2  v2 
)
constexpr

◆ operator-()

template<typename T1 , typename T2 >
requires (detail::is_vector_elem_ref_v<T1> || detail::is_vector_elem_ref_v<T2>)
constexpr auto aie::operator- ( T1  v1,
T2  v2 
)
constexpr

◆ operator<<() [1/2]

template<typename T >
requires (detail::is_vector_elem_ref_v<T>)
constexpr auto aie::operator<< ( v,
int  n 
) -> typename T::value_type
constexpr

◆ operator<<() [2/2]

template<typename T >
requires (detail::is_vector_elem_ref_v<T>)
constexpr auto aie::operator<< ( v,
unsigned  n 
) -> typename T::value_type
constexpr

◆ operator>>() [1/2]

template<typename T >
requires (detail::is_vector_elem_ref_v<T>)
constexpr auto aie::operator>> ( v,
int  n 
) -> typename T::value_type
constexpr

◆ operator>>() [2/2]

template<typename T >
requires (detail::is_vector_elem_ref_v<T>)
constexpr auto aie::operator>> ( v,
unsigned  n 
) -> typename T::value_type
constexpr

◆ operator^()

template<typename T1 , typename T2 >
requires (detail::is_vector_elem_ref_v<T1> || detail::is_vector_elem_ref_v<T2>)
constexpr auto aie::operator^ ( T1  v1,
T2  v2 
)
constexpr

◆ operator|()

template<typename T1 , typename T2 >
requires (detail::is_vector_elem_ref_v<T1> || detail::is_vector_elem_ref_v<T2>)
constexpr auto aie::operator| ( T1  v1,
T2  v2 
)
constexpr

◆ operator~()

template<typename T >
requires (detail::is_vector_elem_ref_v<T>)
constexpr auto aie::operator~ ( v)
constexpr

◆ print() [1/2]

template<unsigned N>
void aie::print ( const aie::mask< N > &  m,
bool  nl = false,
const char *  prefix = nullptr 
)

Displays the contents of a mask.

Parameters
[in]mThe mask.
[in]nlSet to true in order to add a newline at the end.
[in]prefixOptional text to print before the first element.

◆ print() [2/2]

template<typename C >
requires (Vector<C> || Accum<C>)
void aie::print ( const C &  c,
bool  nl = false,
const char *  prefix = nullptr 
)

Displays the contents of a vector or an accumulator.

Parameters
[in]cA vector or an accumulator.
[in]nlSet to true to print add newline at the end.
[in]prefixOptional text to print before the first element.

◆ print_fixed()

template<typename T , unsigned Elems>
requires (!detail::is_floating_point_v<T>)
void aie::print_fixed ( const aie::vector< T, Elems > &  v,
int  scale,
bool  nl = false,
const char *  prefix = nullptr 
)

Displays the contents of a vector integers represented as real numbers in fixed point.

Applies a scaling factor to each value before printing, which represents the exponent in a multiplication by a power of two: positive scale values will make the numbers larger while negative values will make the numbers smaller.

Parameters
[in]vThe vector.
[in]scalePower-of-two exponent to apply to each value. Can be positive or negative.
[in]nlSet to true to print a newline after the last element.
[in]prefixOptional text to print before the first element.

◆ print_matrix()

template<typename Matrix >
requires (Vector<Matrix> || Accum<Matrix>)
void aie::print_matrix ( const Matrix &  m,
unsigned  cols,
const char *  prefix = nullptr 
)

Displays the contents of a vector or accumulator, arranged in a matrix layout.

Parameters
[in]mA vector or an accumulator.
[in]colsThe number of columns in the matrix. Must be an exact divisor of the number of elements in m.
[in]prefixOptional text to print before the first element.

◆ reduce_mul() [1/2]

template<AccumElemBaseType AccumTag, Vector Vec>
Vec::value_type aie::reduce_mul ( const Vec &  v)

◆ reduce_mul() [2/2]

template<Vector Vec>
constexpr Vec::value_type aie::reduce_mul ( const Vec &  v)
constexpr

◆ sliding_mac() [1/2]

template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac ( const Acc &  acc,
const VecCoeff &  coeff,
const VecData &  data,
unsigned  data_start 
)

◆ sliding_mac() [2/2]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac ( const Acc &  acc,
const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  data_start 
)

◆ sliding_mac_antisym() [1/5]

template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac_antisym ( const Acc &  acc,
const VecCoeff &  coeff,
const VecData &  data,
unsigned  data_start 
)

◆ sliding_mac_antisym() [2/5]

template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac_antisym ( const Acc &  acc,
const VecCoeff &  coeff,
const VecData &  ldata,
unsigned  ldata_start,
const VecData &  rdata,
unsigned  rdata_start 
)

◆ sliding_mac_antisym() [3/5]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac_antisym ( const Acc &  acc,
const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  data_start 
)

◆ sliding_mac_antisym() [4/5]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac_antisym ( const Acc &  acc,
const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  ldata_start,
unsigned  rdata_start 
)

◆ sliding_mac_antisym() [5/5]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac_antisym ( const Acc &  acc,
const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  ldata,
unsigned  ldata_start,
const VecData &  rdata,
unsigned  rdata_start 
)

◆ sliding_mac_antisym_uct() [1/2]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac_antisym_uct ( const Acc &  acc,
const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  data_start,
unsigned  uct_shift 
)

◆ sliding_mac_antisym_uct() [2/2]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac_antisym_uct ( const Acc &  acc,
const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  ldata,
unsigned  ldata_start,
const VecData &  rdata,
unsigned  rdata_start,
unsigned  uct_shift 
)

◆ sliding_mac_ch()

template<unsigned Outputs, unsigned Channels, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE_ML) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Outputs * Channels))
auto aie::sliding_mac_ch ( const Acc &  acc,
const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  data_start 
)

◆ sliding_mac_sym() [1/5]

template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac_sym ( const Acc &  acc,
const VecCoeff &  coeff,
const VecData &  data,
unsigned  data_start 
)

◆ sliding_mac_sym() [2/5]

template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac_sym ( const Acc &  acc,
const VecCoeff &  coeff,
const VecData &  ldata,
unsigned  ldata_start,
const VecData &  rdata,
unsigned  rdata_start 
)

◆ sliding_mac_sym() [3/5]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac_sym ( const Acc &  acc,
const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  data_start 
)

◆ sliding_mac_sym() [4/5]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac_sym ( const Acc &  acc,
const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  ldata_start,
unsigned  rdata_start 
)

◆ sliding_mac_sym() [5/5]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac_sym ( const Acc &  acc,
const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  ldata,
unsigned  ldata_start,
const VecData &  rdata,
unsigned  rdata_start 
)

◆ sliding_mac_sym_uct() [1/2]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac_sym_uct ( const Acc &  acc,
const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  data_start,
unsigned  uct_shift 
)

◆ sliding_mac_sym_uct() [2/2]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, Accum Acc, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type> && (Acc::size() == Lanes))
auto aie::sliding_mac_sym_uct ( const Acc &  acc,
const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  ldata,
unsigned  ldata_start,
const VecData &  rdata,
unsigned  rdata_start,
unsigned  uct_shift 
)

◆ sliding_mul() [1/2]

template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul ( const VecCoeff &  coeff,
const VecData &  data,
unsigned  data_start 
)

◆ sliding_mul() [2/2]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul ( const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  data_start 
)

◆ sliding_mul_antisym() [1/5]

template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul_antisym ( const VecCoeff &  coeff,
const VecData &  data,
unsigned  data_start 
)

◆ sliding_mul_antisym() [2/5]

template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, typename VecCoeff , typename VecData >
requires (arch::is(arch::AIE) && VectorOrOp<VecCoeff> && VectorOrOp<VecData> && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul_antisym ( const VecCoeff &  coeff,
const VecData &  ldata,
unsigned  ldata_start,
const VecData &  rdata,
unsigned  rdata_start 
)

◆ sliding_mul_antisym() [3/5]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul_antisym ( const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  data_start 
)

◆ sliding_mul_antisym() [4/5]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul_antisym ( const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  ldata_start,
unsigned  rdata_start 
)

◆ sliding_mul_antisym() [5/5]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul_antisym ( const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  ldata,
unsigned  ldata_start,
const VecData &  rdata,
unsigned  rdata_start 
)

◆ sliding_mul_antisym_uct() [1/2]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul_antisym_uct ( const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  data_start,
unsigned  uct_shift 
)

◆ sliding_mul_antisym_uct() [2/2]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul_antisym_uct ( const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  ldata,
unsigned  ldata_start,
const VecData &  rdata,
unsigned  rdata_start,
unsigned  uct_shift 
)

◆ sliding_mul_ch()

template<unsigned Outputs, unsigned Channels, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE_ML) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul_ch ( const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  data_start 
)

◆ sliding_mul_sym() [1/5]

template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul_sym ( const VecCoeff &  coeff,
const VecData &  data,
unsigned  data_start 
)

◆ sliding_mul_sym() [2/5]

template<unsigned Lanes, unsigned Points, int CoeffStart = 0, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, typename VecCoeff , typename VecData >
requires (arch::is(arch::AIE) && VectorOrOp<VecCoeff> && VectorOrOp<VecData> && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul_sym ( const VecCoeff &  coeff,
const VecData &  ldata,
unsigned  ldata_start,
const VecData &  rdata,
unsigned  rdata_start 
)

◆ sliding_mul_sym() [3/5]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul_sym ( const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  data_start 
)

◆ sliding_mul_sym() [4/5]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul_sym ( const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  ldata_start,
unsigned  rdata_start 
)

◆ sliding_mul_sym() [5/5]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStepX = 1, int DataStepY = DataStepX, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul_sym ( const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  ldata,
unsigned  ldata_start,
const VecData &  rdata,
unsigned  rdata_start 
)

◆ sliding_mul_sym_uct() [1/2]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul_sym_uct ( const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  data,
unsigned  data_start,
unsigned  uct_shift 
)

◆ sliding_mul_sym_uct() [2/2]

template<unsigned Lanes, unsigned Points, int CoeffStep = 1, int DataStep = 1, AccumElemBaseType AccumTag = accauto, VectorOrOp VecCoeff, VectorOrOp VecData>
requires (arch::is(arch::AIE) && is_valid_mul_op_v<typename VecCoeff::value_type, typename VecData::value_type>)
auto aie::sliding_mul_sym_uct ( const VecCoeff &  coeff,
unsigned  coeff_start,
const VecData &  ldata,
unsigned  ldata_start,
const VecData &  rdata,
unsigned  rdata_start,
unsigned  uct_shift 
)

◆ sub()

template<typename T >
requires (detail::is_floating_point_v<T>)
T aie::sub ( a,
b 
)

◆ tlast() [1/2]

template<typename T >
aie::tlast ( const T &  ,
bool   
) -> tlast< const T &, bool >

◆ tlast() [2/2]

template<typename T >
aie::tlast ( T &  ,
bool &   
) -> tlast< T &, bool & >

◆ to_float()

template<typename TR = cfloat, typename T , unsigned Elems>
requires (Utils::is_one_of_v<T, cint16, cint32>)
auto aie::to_float ( const vector< T, Elems > &  v,
int  shift = 0 
) -> vector<TR, Elems>

Convert the elements in a complex fixed-point vector into floating point values.

Parameters
vInput vector.
shiftPosition of the point in the input values.

◆ vector()

template<detail::NativeVectorType T>
aie::vector ( ) -> vector< typename detail::native_vector_traits< T >::value_type, detail::native_vector_traits< T >::elems >

Template deduction guidelines for aie::vector.

◆ vector_cast()

template<AccumElemBaseType DstTag, Vector Vec>
requires (arch::is(arch::AIE_ML))
auto aie::vector_cast ( const Vec &  v)

Reinterpret a vector as an accumulator.

The returned accumulator has the same size in bits as the input vector.

Template Parameters
DstTagAccumulator tag for the returned accumulator.
Parameters
vInput vector.

◆ zero()

template<ElemBaseType T>
constexpr T aie::zero ( )
constexpr

Returns the zero value for the requested data type.

Template Parameters
Requesteddata type

◆ zeros()

template<AccumElemBaseType AccumTag, unsigned Elems = native_vector_length_v<AccumTag>>
accum< AccumTag, Elems > aie::zeros ( )

Returns a vector whose elements are initialized to zero.

for (unsigned i = 0; i < Elems; ++i)
out[i] = 0;
Template Parameters
AccumTag.Accumulator tag.
Elems.Size of the accumulator.