cannot @cast on views of other @cast results about tensorcast.jl HOT 3 OPEN

julia> HH = view(P,:,[1,2,4],:)
3×3×100 view(lazystack(::Vector{Matrix{Float64}}), :, [1, 2, 4], :) ...

julia> inv(HH[:,:,1])  # inv(::Matrix)
3×3 Matrix{Float64}:
  6.7336   -18.7875   21.6366
 -4.88027    1.76205   0.148484
  2.17953  -14.5834   16.9896

julia> inv(@view HH[:,:,1])  # same error as @cast
ERROR: MethodError: no method matching factorize(::SubArray{Float64, 2, LazyStack.Stacked{...

julia> @cast invH[i,j,k] := inv(HH[:,:,k])[i,j] lazy=false
3×3×100 Array{Float64, 3}:

julia> @btime sum(x)  setup=(x=randn(30,30));
  min 247.120 ns, mean 249.191 ns (0 allocations)

julia> @btime x*x  setup=(x=randn(30,30));
  min 1.483 μs, mean 3.319 μs (1 allocation, 7.19 KiB)

julia> using LazyStack

julia> @btime sum(x)  setup=(x=view(lazystack([randn(30) for _ in 1:30]), 30:-1:1, :));
  min 4.411 μs, mean 4.446 μs (0 allocations)  # complicated to access each element

julia> @btime x*x  setup=(x=lazystack([randn(30) for _ in 1:30]));  # won't use BLAS
  min 13.375 μs, mean 16.052 μs (3 allocations, 27.69 KiB)

julia> @btime abs2.(Compat.stack(x))  setup=(x=[randn(30) for _ in 1:30]);
  min 900.615 ns, mean 3.502 μs (2 allocations, 14.38 KiB)

julia> @btime abs2.(lazystack(x))  setup=(x=[randn(30) for _ in 1:30]);
  min 549.690 ns, mean 1.710 μs (1 allocation, 7.19 KiB)