diff --git a/Project.toml b/Project.toml
index f10faa8b..534fbf76 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,7 +1,7 @@
 name = "BlockSparseArrays"
 uuid = "2c9a651f-6452-4ace-a6ac-809f4280fbb4"
 authors = ["ITensor developers <support@itensor.org> and contributors"]
-version = "0.2.21"
+version = "0.2.22"
 
 [deps]
 Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
diff --git a/ext/BlockSparseArraysTensorAlgebraExt/BlockSparseArraysTensorAlgebraExt.jl b/ext/BlockSparseArraysTensorAlgebraExt/BlockSparseArraysTensorAlgebraExt.jl
index 37f03d09..5e164088 100644
--- a/ext/BlockSparseArraysTensorAlgebraExt/BlockSparseArraysTensorAlgebraExt.jl
+++ b/ext/BlockSparseArraysTensorAlgebraExt/BlockSparseArraysTensorAlgebraExt.jl
@@ -1,7 +1,7 @@
 module BlockSparseArraysTensorAlgebraExt
 using BlockArrays: AbstractBlockedUnitRange
 using GradedUnitRanges: tensor_product
-using TensorAlgebra: TensorAlgebra, FusionStyle, BlockReshapeFusion
+using TensorAlgebra: TensorAlgebra, BlockedTuple, BlockReshapeFusion, FusionStyle
 
 function TensorAlgebra.:⊗(a1::AbstractBlockedUnitRange, a2::AbstractBlockedUnitRange)
   return tensor_product(a1, a2)
@@ -19,10 +19,8 @@ function TensorAlgebra.fusedims(
   return blockreshape(a, axes)
 end
 
-function TensorAlgebra.splitdims(
-  ::BlockReshapeFusion, a::AbstractArray, axes::AbstractUnitRange...
-)
-  return blockreshape(a, axes)
+function TensorAlgebra.splitdims(::BlockReshapeFusion, a::AbstractArray, bt::BlockedTuple)
+  return blockreshape(a, Tuple(bt)...)
 end
 
 using BlockArrays:
@@ -58,7 +56,6 @@ using TensorAlgebra:
   TensorAlgebra, FusionStyle, BlockReshapeFusion, SectorFusion, fusedims, splitdims
 
 # TODO: Make a `ReduceWhile` library.
-include("reducewhile.jl")
 
 TensorAlgebra.FusionStyle(::AbstractGradedUnitRange) = SectorFusion()
 
@@ -85,15 +82,10 @@ function TensorAlgebra.fusedims(
   return block_mergesort(a_reshaped)
 end
 
-function TensorAlgebra.splitdims(
-  ::SectorFusion, a::AbstractArray, split_axes::AbstractUnitRange...
-)
+function TensorAlgebra.splitdims(::SectorFusion, a::AbstractArray, split_axes::BlockedTuple)
   # First, fuse axes to get `blockmergesortperm`.
   # Then unpermute the blocks.
-  axes_prod =
-    groupreducewhile(tensor_product, split_axes, ndims(a); init=OneToOne()) do i, axis
-      return length(axis) ≤ length(axes(a, i))
-    end
+  axes_prod = map(t -> tensor_product(t...), blocks(split_axes))
   blockperms = blocksortperm.(axes_prod)
   sorted_axes = map((r, I) -> only(axes(r[I])), axes_prod, blockperms)
 
@@ -103,7 +95,7 @@ function TensorAlgebra.splitdims(
   # for this combination of slicing.
   a_unblocked = a[sorted_axes...]
   a_blockpermed = a_unblocked[invblockperm.(blockperms)...]
-  return splitdims(BlockReshapeFusion(), a_blockpermed, split_axes...)
+  return splitdims(BlockReshapeFusion(), a_blockpermed, split_axes)
 end
 
 # This is a temporary fix for `eachindex` being broken for BlockSparseArrays