However, if Calculus is used before calling gradient, you get
julia> using Calculus
julia> gradient([1:3;])
ERROR: MethodError: gradient(::Array{Int64,1}, ::Array{Int64,1}) is ambiguous. Candidates:
gradient(f, x::Union{Array{T,1}, T}) where T<:Number in Calculus at /home/david/.julia/v0.6/Calculus/src/derivative.jl:17
gradient(F::AbstractArray{T,1} where T, h::Array{T,1} where T) in Base.LinAlg at linalg/dense.jl:186
Possible fix, define
gradient(::AbstractArray{T,1} where T, ::Array{T<:Number,1})
Stacktrace:
[1] gradient(::Array{Int64,1}) at ./linalg/generic.jl:282
Even directly calling the function from base with Base.LinAlg.gradient throws the above error.
I am using v"0.3.1", but this also happens when pinning to v"0.3.0". Older version fail to pre-compile with Julia 0.6.2.
Since a recent update, there seems to be a problem with the
gradient
fucntion.The following works fine:
However, if
Calculus
is used before callinggradient
, you getEven directly calling the function from base with
Base.LinAlg.gradient
throws the above error. I am using v"0.3.1", but this also happens when pinning to v"0.3.0". Older version fail to pre-compile with Julia 0.6.2.