doctest failure in ~/work/TensorCore.jl/TensorCore.jl/src/TensorCore.jl ```jldoctest; setup=:(using TensorCore) julia> a = [2, 3]; b = [5, 7, 11]; julia> a ⊗ b 2×3 Array{Int64,2}: 10 14 22 15 21 33 ``` Subexpression: a ⊗ b Evaluated output: 2×3 Matrix{Int64}: 10 14 22 15 21 33 Expected output: 2×3 Array{Int64,2}: 10 14 22 15 21 33 diff = Warning: Diff output requires color. 2×3 Array{Int64,2}: Matrix{Int64}: 10 14 22 15 21 33

doctest failure in ~/work/TensorCore.jl/TensorCore.jl/src/TensorCore.jl ```jldoctest; setup=:(using TensorCore) julia> a = [2, 3]; b = [5, 7]; julia> a ⊙ b 2-element Array{Int64,1}: 10 21 julia> a ⊙ [5] ERROR: DimensionMismatch("Axes of `A` and `B` must match, got (Base.OneTo(2),) and (Base.OneTo(1),)") [...] ``` Subexpression: a ⊙ b Evaluated output: 2-element Vector{Int64}: 10 21 Expected output: 2-element Array{Int64,1}: 10 21 diff = Warning: Diff output requires color. 2-element Array{Int64,1}: Vector{Int64}: 10 21

doctest failure in ~/work/TensorCore.jl/TensorCore.jl/src/TensorCore.jl ```jldoctest; setup=:(using TensorCore) julia> a = [2, 3]; b = [5, 7]; julia> a ⊙ b 2-element Array{Int64,1}: 10 21 julia> a ⊙ [5] ERROR: DimensionMismatch("Axes of `A` and `B` must match, got (Base.OneTo(2),) and (Base.OneTo(1),)") [...] ``` Subexpression: a ⊙ [5] Evaluated output: ERROR: DimensionMismatch: Axes of `A` and `B` must match, got (Base.OneTo(2),) and (Base.OneTo(1),) Stacktrace: [1] (::TensorCore.var"#throw_dmm#1")(axA::Tuple{Base.OneTo{Int64}}, axB::Tuple{Base.OneTo{Int64}}) @ TensorCore ~/work/TensorCore.jl/TensorCore.jl/src/TensorCore.jl:35 [2] hadamard(A::Vector{Int64}, B::Vector{Int64}) @ TensorCore ~/work/TensorCore.jl/TensorCore.jl/src/TensorCore.jl:38 [3] top-level scope @ none:1 Expected output: ERROR: DimensionMismatch("Axes of `A` and `B` must match, got (Base.OneTo(2),) and (Base.OneTo(1),)") [...] diff = Warning: Diff output requires color. ERROR: DimensionMismatch("Axes DimensionMismatch: Axes of `A` and `B` must match, got (Base.OneTo(2),) and (Base.OneTo(1),)") [...](Base.OneTo(1),) Stacktrace: [1] (::TensorCore.var"#throw_dmm#1")(axA::Tuple{Base.OneTo{Int64}}, axB::Tuple{Base.OneTo{Int64}}) @ TensorCore ~/work/TensorCore.jl/TensorCore.jl/src/TensorCore.jl:35 [2] hadamard(A::Vector{Int64}, B::Vector{Int64}) @ TensorCore ~/work/TensorCore.jl/TensorCore.jl/src/TensorCore.jl:38 [3] top-level scope @ none:1

doctest failure in ~/work/TensorCore.jl/TensorCore.jl/src/TensorCore.jl:163-177 ```jldoctest; setup=:(using TensorCore) julia> M = rand(5,5); v = rand(5); julia> typeof(v ⊡ M') Array{Float64,1} julia> typeof(M ⊡ v') # adjoint of the previous line Adjoint{Float64,Array{Float64,1}} julia> typeof(v' ⊡ M') # same as *, and equal to adjoint(M ⊡ v) Adjoint{Float64,Array{Float64,1}} julia> typeof(v' ⊡ v) Float64 ``` Subexpression: typeof(v ⊡ M') Evaluated output: Vector{Float64} (alias for Array{Float64, 1}) Expected output: Array{Float64,1} diff = Warning: Diff output requires color. Array{Float64,1}Vector{Float64} (alias for Array{Float64, 1})

doctest failure in ~/work/TensorCore.jl/TensorCore.jl/src/TensorCore.jl:163-177 ```jldoctest; setup=:(using TensorCore) julia> M = rand(5,5); v = rand(5); julia> typeof(v ⊡ M') Array{Float64,1} julia> typeof(M ⊡ v') # adjoint of the previous line Adjoint{Float64,Array{Float64,1}} julia> typeof(v' ⊡ M') # same as *, and equal to adjoint(M ⊡ v) Adjoint{Float64,Array{Float64,1}} julia> typeof(v' ⊡ v) Float64 ``` Subexpression: typeof(M ⊡ v') # adjoint of the previous line Evaluated output: LinearAlgebra.Adjoint{Float64, Vector{Float64}} Expected output: Adjoint{Float64,Array{Float64,1}} diff = Warning: Diff output requires color. Adjoint{Float64,Array{Float64,1}}LinearAlgebra.Adjoint{Float64, Vector{Float64}}

doctest failure in ~/work/TensorCore.jl/TensorCore.jl/src/TensorCore.jl:163-177 ```jldoctest; setup=:(using TensorCore) julia> M = rand(5,5); v = rand(5); julia> typeof(v ⊡ M') Array{Float64,1} julia> typeof(M ⊡ v') # adjoint of the previous line Adjoint{Float64,Array{Float64,1}} julia> typeof(v' ⊡ M') # same as *, and equal to adjoint(M ⊡ v) Adjoint{Float64,Array{Float64,1}} julia> typeof(v' ⊡ v) Float64 ``` Subexpression: typeof(v' ⊡ M') # same as *, and equal to adjoint(M ⊡ v) Evaluated output: LinearAlgebra.Adjoint{Float64, Vector{Float64}} Expected output: Adjoint{Float64,Array{Float64,1}} diff = Warning: Diff output requires color. Adjoint{Float64,Array{Float64,1}}LinearAlgebra.Adjoint{Float64, Vector{Float64}}

Process completed with exit code 1.

1 docstring not included in the manual: TensorCore._adjoint :: Tuple{Any} These are docstrings in the checked modules (configured with the modules keyword) that are not included in @docs or @autodocs blocks.

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removing `stable` and linking `stable` to `v0.1.1`.

removing `v0.1` and linking `v0.1` to `v0.1.1`.