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| include("yacusolver.jl") | ||
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| function MatrixAlgebraKit.default_qr_algorithm(::Type{T}; kwargs...) where {T<:StridedCuMatrix} | ||
| function MatrixAlgebraKit.default_qr_algorithm(::Type{T}; kwargs...) where {TT<:BlasFloat, T<:StridedCuMatrix{TT}} |
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There are probably a couple more of these somewhat complex wrapper types that can still be handled by these algorithms, how do you feel about doing something like
for MatType in [...]
@eval ...
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Sounds fine to me, do we have a list of the ones we want?
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Was this particular change also induced by TensorKit requirements, or simply more strictness (which I fully support)?
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Would it be equivalent to defining a new type constant
const StridedCuBLASMatrix{T} = StridedCuMatrix{T} where {T<:BlasFloat}and then using default_xxx_algorithm(::Type{<:StridedCuBLASMatrix}; kwargs...) everywhere?
src/implementations/lq.jl
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| m, n = size(A) | ||
| minmn = min(m, n) | ||
| At = adjoint!(similar(A'), A)::AbstractMatrix | ||
| At = min(m, n) > 0 ? adjoint!(similar(A'), A)::AbstractMatrix : similar(A') |
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Is this ::AbstractMatrix type assert useful?
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Changed the format of some of the |
src/implementations/svd.jl
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| Ut = similar(U') | ||
| Vᴴt = similar(Vᴴ') | ||
| if size(U) == (m, m) | ||
| _gpu_gesvd!(At, view(S, 1:minmn, 1), Vᴴt, Ut) |
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Didn't think long about it, but it was not immediately clear to me why this was necessary. Isn't S always of length minmn?
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Here I'm following what the CPU bindings have done, but I suppose we could be reusing an S over and over between differently sized arrays?
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Your PR no longer requires formatting changes. Thank you for your contribution! |
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Left two minor comments, and this PR needs a formatter run, otherwise this is good to merge!
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OK fixed both comments, formatted. Thanks for the look! |
* Bump v0.6 * rename `gaugefix` -> `fixgauge` * reduce unnecessary warnings * fix `copy_input` signatures in Mooncake tests * Add changelog to docs
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The
ReshapedArrayoverrides are needed to dispatch to the correct GPU algorithms. Needed to modify the type signature for the default algorithms to avoid ambiguities. Also it's nice to give some more info about dimension mismatches.