[BlockSparseArrays] Permute and merge blocks

NDTensors/Project.toml

@@ -1,7 +1,7 @@
 name = "NDTensors"
 uuid = "23ae76d9-e61a-49c4-8f12-3f1a16adf9cf"
 authors = ["Matthew Fishman <[email protected]>"]
-version = "0.3.38"
+version = "0.3.39"
 
 [deps]
 Accessors = "7d9f7c33-5ae7-4f3b-8dc6-eff91059b697"

NDTensors/src/lib/BlockSparseArrays/ext/BlockSparseArraysGradedAxesExt/src/BlockSparseArraysGradedAxesExt.jl

@@ -66,7 +66,12 @@ function TensorAlgebra.splitdims(
       return length(axis) ≤ length(axes(a, i))
     end
   blockperms = invblockperm.(blocksortperm.(axes_prod))
-  a_blockpermed = a[blockperms...]
+  # TODO: This is doing extra copies of the blocks,
+  # use `@view a[axes_prod...]` instead.
+  # That will require implementing some reindexing logic
+  # for this combination of slicing.
+  a_unblocked = a[axes_prod...]
+  a_blockpermed = a_unblocked[blockperms...]
   return splitdims(BlockReshapeFusion(), a_blockpermed, split_axes...)
 end
 

NDTensors/src/lib/BlockSparseArrays/ext/BlockSparseArraysGradedAxesExt/test/runtests.jl

@@ -87,14 +87,9 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
     a = BlockSparseArray{elt}(d1, d2, d1, d2)
     blockdiagonal!(randn!, a)
     m = fusedims(a, (1, 2), (3, 4))
-    # TODO: Once block merging is implemented, this should
-    # be the real test.
     for ax in axes(m)
       @test ax isa GradedOneTo
-      # TODO: Current `fusedims` doesn't merge
-      # common sectors, need to fix.
-      @test_broken blocklabels(ax) == [U1(0), U1(1), U1(2)]
-      @test blocklabels(ax) == [U1(0), U1(1), U1(1), U1(2)]
+      @test blocklabels(ax) == [U1(0), U1(1), U1(2)]
     end
     for I in CartesianIndices(m)
       if I ∈ CartesianIndex.([(1, 1), (4, 4)])
@@ -105,10 +100,7 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
     end
     @test a[1, 1, 1, 1] == m[1, 1]
     @test a[2, 2, 2, 2] == m[4, 4]
-    # TODO: Current `fusedims` doesn't merge
-    # common sectors, need to fix.
-    @test_broken blocksize(m) == (3, 3)
-    @test blocksize(m) == (4, 4)
+    @test blocksize(m) == (3, 3)
     @test a == splitdims(m, (d1, d2), (d1, d2))
   end
   @testset "dual axes" begin

NDTensors/src/lib/BlockSparseArrays/src/BlockArraysExtensions/BlockArraysExtensions.jl

@@ -3,11 +3,14 @@ using BlockArrays:
   AbstractBlockArray,
   AbstractBlockVector,
   Block,
+  BlockIndex,
+  BlockIndexRange,
   BlockRange,
+  BlockSlice,
+  BlockVector,
   BlockedOneTo,
   BlockedUnitRange,
-  BlockVector,
-  BlockSlice,
+  BlockedVector,
   block,
   blockaxes,
   blockedrange,
@@ -17,8 +20,30 @@ using BlockArrays:
   findblockindex
 using Compat: allequal
 using Dictionaries: Dictionary, Indices
-using ..GradedAxes: blockedunitrange_getindices
-using ..SparseArrayInterface: stored_indices
+using ..GradedAxes: blockedunitrange_getindices, to_blockindices
+using ..SparseArrayInterface: SparseArrayInterface, nstored, stored_indices
+
+# A return type for `blocks(array)` when `array` isn't blocked.
+# Represents a vector with just that single block.
+struct SingleBlockView{T,N,Array<:AbstractArray{T,N}} <: AbstractArray{T,N}
+  array::Array
+end
+blocks_maybe_single(a) = blocks(a)
+blocks_maybe_single(a::Array) = SingleBlockView(a)
+function Base.getindex(a::SingleBlockView{<:Any,N}, index::Vararg{Int,N}) where {N}
+  @assert all(isone, index)
+  return a.array
+end
+
+# A wrapper around a potentially blocked array that is not blocked.
+struct NonBlockedArray{T,N,Array<:AbstractArray{T,N}} <: AbstractArray{T,N}
+  array::Array
+end
+Base.size(a::NonBlockedArray) = size(a.array)
+Base.getindex(a::NonBlockedArray{<:Any,N}, I::Vararg{Integer,N}) where {N} = a.array[I...]
+BlockArrays.blocks(a::NonBlockedArray) = SingleBlockView(a.array)
+const NonBlockedVector{T,Array} = NonBlockedArray{T,1,Array}
+NonBlockedVector(array::AbstractVector) = NonBlockedArray(array)
 
 # BlockIndices works around an issue that the indices of BlockSlice
 # are restricted to AbstractUnitRange{Int}.
@@ -37,6 +62,43 @@ function Base.getindex(S::BlockIndices, i::BlockSlice{<:Block{1}})
   @assert length(S.indices[Block(i)]) == length(i.indices)
   return BlockSlice(S.blocks[Int(Block(i))], S.indices[Block(i)])
 end
+
+# This is used in slicing like:
+# a = BlockSparseArray{Float64}([2, 2, 2, 2], [2, 2, 2, 2])
+# I = BlockedVector([Block(4), Block(3), Block(2), Block(1)], [2, 2])
+# a[I, I]
+function Base.getindex(
+  S::BlockIndices{<:AbstractBlockVector{<:Block{1}}}, i::BlockSlice{<:Block{1}}
+)
+  # TODO: Check for conistency of indices.
+  # Wrapping the indices in `NonBlockedVector` reinterprets the blocked indices
+  # as a single block, since the result shouldn't be blocked.
+  return NonBlockedVector(BlockIndices(S.blocks[Block(i)], S.indices[Block(i)]))
+end
+function Base.getindex(
+  S::BlockIndices{<:BlockedVector{<:Block{1},<:BlockRange{1}}}, i::BlockSlice{<:Block{1}}
+)
+  return i
+end
+
+# Used in indexing such as:
+# ```julia
+# a = BlockSparseArray{Float64}([2, 2, 2, 2], [2, 2, 2, 2])
+# I = BlockedVector([Block(4), Block(3), Block(2), Block(1)], [2, 2])
+# b = @view a[I, I]
+# @view b[Block(1, 1)[1:2, 2:2]]
+# ```
+# This is similar to the definition:
+# blocksparse_to_indices(a, inds, I::Tuple{UnitRange{<:Integer},Vararg{Any}})
+function Base.getindex(
+  a::NonBlockedVector{<:Integer,<:BlockIndices}, I::UnitRange{<:Integer}
+)
+  ax = only(axes(a.array.indices))
+  brs = to_blockindices(ax, I)
+  inds = blockedunitrange_getindices(ax, I)
+  return NonBlockedVector(a.array[BlockSlice(brs, inds)])
+end
+
 function Base.getindex(S::BlockIndices, i::BlockSlice{<:BlockRange{1}})
   # TODO: Check that `i.indices` is consistent with `S.indices`.
   # TODO: Turn this into a `blockedunitrange_getindices` definition.
@@ -50,6 +112,34 @@ function Base.getindex(S::BlockIndices, i::BlockSlice{<:BlockRange{1}})
   return BlockIndices(subblocks, subindices)
 end
 
+# Used when performing slices like:
+# @views a[[Block(2), Block(1)]][2:4, 2:4]
+function Base.getindex(S::BlockIndices, i::BlockSlice{<:BlockVector{<:BlockIndex{1}}})
+  subblocks = mortar(
+    map(blocks(i.block)) do br
+      return S.blocks[Int(Block(br))][only(br.indices)]
+    end,
+  )
+  subindices = mortar(
+    map(blocks(i.block)) do br
+      S.indices[br]
+    end,
+  )
+  return BlockIndices(subblocks, subindices)
+end
+
+# Similar to the definition of `BlockArrays.BlockSlices`:
+# ```julia
+# const BlockSlices = Union{Base.Slice,BlockSlice{<:BlockRange{1}}}
+# ```
+# but includes `BlockIndices`, where the blocks aren't contiguous.
+const BlockSliceCollection = Union{
+  Base.Slice,BlockSlice{<:BlockRange{1}},BlockIndices{<:Vector{<:Block{1}}}
+}
+const SubBlockSliceCollection = BlockIndices{
+  <:BlockVector{<:BlockIndex{1},<:Vector{<:BlockIndexRange{1}}}
+}
+
 # TODO: This is type piracy. This is used in `reindex` when making
 # views of blocks of sliced block arrays, for example:
 # ```julia
@@ -218,6 +308,12 @@ function blockrange(axis::AbstractUnitRange, r::UnitRange)
   return findblock(axis, first(r)):findblock(axis, last(r))
 end
 
+# Occurs when slicing with `a[2:4, 2:4]`.
+function blockrange(axis::BlockedOneTo{<:Integer}, r::BlockedUnitRange{<:Integer})
+  # TODO: Check the blocks are commensurate.
+  return findblock(axis, first(r)):findblock(axis, last(r))
+end
+
 function blockrange(axis::AbstractUnitRange, r::Int)
   ## return findblock(axis, r)
   return error("Slicing with integer values isn't supported.")
@@ -241,14 +337,17 @@ function blockrange(axis::BlockedOneTo{<:Integer}, r::BlockedOneTo{<:Integer})
   return only(blockaxes(r))
 end
 
-# This handles changing the blocking, for example:
+# This handles block merging:
 # a = BlockSparseArray{Float64}([2, 2, 2, 2], [2, 2, 2, 2])
+# I = BlockedVector(Block.(1:4), [2, 2])
+# I = BlockVector(Block.(1:4), [2, 2])
 # I = BlockedVector([Block(4), Block(3), Block(2), Block(1)], [2, 2])
+# I = BlockVector([Block(4), Block(3), Block(2), Block(1)], [2, 2])
 # a[I, I]
-# TODO: Generalize to `AbstractBlockedUnitRange` and `AbstractBlockVector`.
-function blockrange(axis::BlockedOneTo{<:Integer}, r::BlockVector{<:Integer})
-  # TODO: Probably this is incorrect and should be something like:
-  # return findblock(axis, first(r)):findblock(axis, last(r))
+function blockrange(axis::BlockedOneTo{<:Integer}, r::AbstractBlockVector{<:Block{1}})
+  for b in r
+    @assert b ∈ blockaxes(axis, 1)
+  end
   return only(blockaxes(r))
 end
 
@@ -287,6 +386,10 @@ function blockrange(axis::AbstractUnitRange, r::Base.Slice)
   return only(blockaxes(axis))
 end
 
+function blockrange(axis::AbstractUnitRange, r::NonBlockedVector)
+  return Block(1):Block(1)
+end
+
 function blockrange(axis::AbstractUnitRange, r)
   return error("Slicing not implemented for range of type `$(typeof(r))`.")
 end
@@ -423,7 +526,18 @@ function Base.setindex!(a::BlockView{<:Any,N}, value, index::Vararg{Int,N}) wher
   return a
 end
 
-function view!(a::BlockSparseArray{<:Any,N}, index::Block{N}) where {N}
+function SparseArrayInterface.nstored(a::BlockView)
+  # TODO: Store whether or not the block is stored already as
+  # a Bool in `BlockView`.
+  I = CartesianIndex(Int.(a.block))
+  # TODO: Use `block_stored_indices`.
+  if I ∈ stored_indices(blocks(a.array))
+    return nstored(blocks(a.array)[I])
+  end
+  return 0
+end
+
+function view!(a::AbstractArray{<:Any,N}, index::Block{N}) where {N}
   return view!(a, Tuple(index)...)
 end
 function view!(a::AbstractArray{<:Any,N}, index::Vararg{Block{1},N}) where {N}

NDTensors/src/lib/BlockSparseArrays/src/BlockSparseArrays.jl

@@ -1,9 +1,11 @@
 module BlockSparseArrays
+include("BlockArraysExtensions/BlockArraysExtensions.jl")
 include("blocksparsearrayinterface/blocksparsearrayinterface.jl")
 include("blocksparsearrayinterface/linearalgebra.jl")
 include("blocksparsearrayinterface/blockzero.jl")
 include("blocksparsearrayinterface/broadcast.jl")
 include("blocksparsearrayinterface/arraylayouts.jl")
+include("blocksparsearrayinterface/views.jl")
 include("abstractblocksparsearray/abstractblocksparsearray.jl")
 include("abstractblocksparsearray/wrappedabstractblocksparsearray.jl")
 include("abstractblocksparsearray/abstractblocksparsematrix.jl")
@@ -15,7 +17,6 @@ include("abstractblocksparsearray/broadcast.jl")
 include("abstractblocksparsearray/map.jl")
 include("blocksparsearray/defaults.jl")
 include("blocksparsearray/blocksparsearray.jl")
-include("BlockArraysExtensions/BlockArraysExtensions.jl")
 include("BlockArraysSparseArrayInterfaceExt/BlockArraysSparseArrayInterfaceExt.jl")
 include("../ext/BlockSparseArraysTensorAlgebraExt/src/BlockSparseArraysTensorAlgebraExt.jl")
 include("../ext/BlockSparseArraysGradedAxesExt/src/BlockSparseArraysGradedAxesExt.jl")

NDTensors/src/lib/BlockSparseArrays/src/abstractblocksparsearray/map.jl

@@ -25,19 +25,57 @@ end
 # This is type piracy, try to avoid this, maybe requires defining `map`.
 ## Base.promote_shape(a1::Tuple{Vararg{BlockedUnitRange}}, a2::Tuple{Vararg{BlockedUnitRange}}) = combine_axes(a1, a2)
 
+reblock(a) = a
+
+# If the blocking of the slice doesn't match the blocking of the
+# parent array, reblock according to the blocking of the parent array.
+function reblock(
+  a::SubArray{<:Any,<:Any,<:AbstractBlockSparseArray,<:Tuple{Vararg{AbstractUnitRange}}}
+)
+  # TODO: This relies on the behavior that slicing a block sparse
+  # array with a UnitRange inherits the blocking of the underlying
+  # block sparse array, we might change that default behavior
+  # so this might become something like `@blocked parent(a)[...]`.
+  return @view parent(a)[UnitRange{Int}.(parentindices(a))...]
+end
+
+function reblock(
+  a::SubArray{<:Any,<:Any,<:AbstractBlockSparseArray,<:Tuple{Vararg{NonBlockedArray}}}
+)
+  return @view parent(a)[map(I -> I.array, parentindices(a))...]
+end
+
+function reblock(
+  a::SubArray{
+    <:Any,
+    <:Any,
+    <:AbstractBlockSparseArray,
+    <:Tuple{Vararg{BlockIndices{<:AbstractBlockVector{<:Block{1}}}}},
+  },
+)
+  # Remove the blocking.
+  return @view parent(a)[map(I -> Vector(I.blocks), parentindices(a))...]
+end
+
+# TODO: Rewrite this so that it takes the blocking structure
+# made by combining the blocking of the axes (i.e. the blocking that
+# is used to determine `union_stored_blocked_cartesianindices(...)`).
+# `reblock` is a partial solution to that, but a bit ad-hoc.
+# TODO: Move to `blocksparsearrayinterface/map.jl`.
 function SparseArrayInterface.sparse_map!(
   ::BlockSparseArrayStyle, f, a_dest::AbstractArray, a_srcs::Vararg{AbstractArray}
 )
+  a_dest, a_srcs = reblock(a_dest), reblock.(a_srcs)
   for I in union_stored_blocked_cartesianindices(a_dest, a_srcs...)
     BI_dest = blockindexrange(a_dest, I)
     BI_srcs = map(a_src -> blockindexrange(a_src, I), a_srcs)
     # TODO: Investigate why this doesn't work:
     # block_dest = @view a_dest[_block(BI_dest)]
-    block_dest = blocks(a_dest)[Int.(Tuple(_block(BI_dest)))...]
+    block_dest = blocks_maybe_single(a_dest)[Int.(Tuple(_block(BI_dest)))...]
     # TODO: Investigate why this doesn't work:
     # block_srcs = ntuple(i -> @view(a_srcs[i][_block(BI_srcs[i])]), length(a_srcs))
     block_srcs = ntuple(length(a_srcs)) do i
-      return blocks(a_srcs[i])[Int.(Tuple(_block(BI_srcs[i])))...]
+      return blocks_maybe_single(a_srcs[i])[Int.(Tuple(_block(BI_srcs[i])))...]
     end
     subblock_dest = @view block_dest[BI_dest.indices...]
     subblock_srcs = ntuple(i -> @view(block_srcs[i][BI_srcs[i].indices...]), length(a_srcs))