mir.sparse

Sparse Tensors

mir.ndslice.iterator public import mir.ndslice.iterator : ChopIterator, FieldIterator;

mir.series public import mir.series : isSeries, Series, mir_series, series;

mir.ndslice.slice public import mir.ndslice.slice : CoordinateValue, Slice, mir_slice;

CompressedMatrix alias CompressedMatrix(T, I = uint) = Slice!(ChopIterator!(J*, Series!(T*, I*)))
CompressedTensor alias CompressedTensor(T, size_t N, I = uint, J = size_t) = Slice!(ChopIterator!(J*, Series!(T*, I*)), N - 1)
alias CompressedTensor(T, size_t N : 1, I = uint) = Series!(I*, T*)
CompressedVector alias CompressedVector(T, I = uint) = Series!(T*, I*)
Sparse alias Sparse(T, size_t N = 1) = Slice!(FieldIterator!(SparseField!T), N): Sparse Slice in Dictionary of Keys (DOK) format.

byCoordinate auto byCoordinate(Slice!(FieldIterator!(SparseField!T), N) slice): Returns unsorted forward range of coordinates.
byCoordinateValue auto byCoordinateValue(Slice!(FieldIterator!(SparseField!T), N) slice): Returns unsorted forward range of (coordinate, value) pairs.
compress auto compress(Slice!(Iterator, N, kind) slice): Returns compressed tensor. Note: allocates using GC.
compressWithType Slice!(ChopIterator!(J*, Series!(I*, V*)), N - 1) compressWithType(Slice!(FieldIterator!(SparseField!T), N) slice)
Slice!(ChopIterator!(J*, Series!(I*, V*)), N - 1) compressWithType(Slice!(Iterator, N, kind) slice): Returns compressed tensor with different element type. Note: allocates using GC.
onlyByValue auto onlyByValue(Slice!(FieldIterator!(SparseField!T), N) slice): Returns unsorted forward range of values.
recompress Slice!(ChopIterator!(J*, Series!(I*, V*)), N) recompress(Slice!(Iterator, N, kind) sparseSlice): Re-compresses a compressed tensor. Makes all values, indeces and pointers consequent in memory.
sparse Sparse!(T, N) sparse(size_t[N] lengths): Sparse tensors represented in Dictionary of Keys (DOK) format.