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DenseMetric and Component arrays (solve #344) #345
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Thanks @erathorn ! And nice catch on the constructor for Phasepoint
!
I'm wondering if we should just make compat with ComponentArrays.jl an extension instead of complicating the existing code, and then we can just overload whatever we need there. Thoughts?
function ∂H∂r(h::Hamiltonian{<:DenseEuclideanMetric,<:GaussianKinetic}, r::AbstractVecOrMat) | ||
out = similar(r) # Make sure the output of this function is of the same type as r | ||
mul!(out, h.metric.M⁻¹, r) | ||
out | ||
end |
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I'm a bit uncertain about this change as it "complicates" code to mainly just stay compatible with ComponentArrays.jl, and thus I'd be more in favour of just making it an extension instead, I think 😕 Then in the extension, we just overload whatever we need to be compatible.
Also, will this code break if, say, h.metric.M⁻¹
has eltype Float64
but r
has eltype Float32
, rather than just promoting, as is current behavior?
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p1 = ComponentArray(m=one(Float32), s = one(Float32))
r = similar(p1)
M = diagm(randn(Float64, 2))
mul!(r, M, p1)
This works on my machine, and returns r
as a component array of eltype Float32
as expected.
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AHMC supports vectorised sampling, when passing arguments in a suitable type. In this case, r::AbstractVecOrMat
could be a single momentum realization or a vector of momentum realizations. Therefore, the new code needs to be able to handle the vectorized sampling mode for the tests to pass.
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Sorry for the silence. Thank you for the suggestion, it totally makes sense to me. However, I looked into this a bit more and am honestly slightly lost. The call to the rand
function, which fails in the tests only works in the test case. Calling this function in a plain Julia session fails for me (on the main branch). A brute force solution, which dispatches on r::AbtractVecOrMat{AbstractVecOrMat}
, does unfortunately not do the trick either.
I went for this "complication" because of the comment next to |
Co-authored-by: Tor Erlend Fjelde <[email protected]>
The tests fail at this line: The problem seems to be, that the implementations of AdvancedHMC.jl/src/utilities.jl Line 5 in eb9b2e0
However, I have not touched any of this at all. 🤔 |
This is indeed strange given that the CI on master is working just fine 😕 |
This PR attempts to solve #344
I went for the solution to preallocate the result in
∂H∂r
such that the type of the inputr
matches the type of the output.I added tests that not only check the correct numerical output but also check the type.
Additionally, I found a typo in the inner constructor of PhasePoint, where it originally was
length(ℓπ.gradient) == length(ℓπ.gradient)
.