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julia> using MLUtils, Test
julia> x = [[1,2,3], [4,5,6]]
2-element Vector{Vector{Int64}}:
[1, 2, 3]
[4, 5, 6]
julia> @inferred batch(x)
ERROR: return type Matrix{Int64} does not match inferred return type Any
Stacktrace:
[1] error(s::String)
@ Base ./error.jl:33
[2] top-level scope
@ REPL[4]:1
julia> @inferred stack(x; dims=1)
ERROR: return type Matrix{Int64} does not match inferred return type Any
Stacktrace:
[1] error(s::String)
@ Base ./error.jl:33
[2] top-level scope
@ REPL[5]:1
The problem could be due to a brodcasted call to unsqueeze
, on which stack
relies:
julia> @inferred unsqueeze(x[1]; dims=1)
1×3 Matrix{Int64}:
1 2 3
julia> f() = unsqueeze.(x; dims=1)
f (generic function with 1 method)
julia> @inferred f()
ERROR: return type Vector{Matrix{Int64}} does not match inferred return type Any
Stacktrace:
[1] error(s::String)
@ Base ./error.jl:33
[2] top-level scope
@ REPL[13]:1
``
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