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kshyatt
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TensorOperations.jl v5.8.0
Adds a TBLIS-backed contraction backend and buffer-based allocators for GPU arrays.
Highlights
TBLISBackend— an opt-in backend routingtensoradd!,tensortrace!andtensorcontract!through TBLIS.jl, contracting strided tensors in place rather than reshaping them into matrices. Loaded as a package extension; supersedes the standalone TensorOperationsTBLIS.jl (Add a TBLIS.jl package extension #290).CUDABufferAllocator,AMDBufferAllocatorandJLBufferAllocatorserve temporaries from a single preallocated device buffer (add CUDA buffer support #293, Add AMDGPU and JLArrays buffer support #295, Fix JLArray buffer-backed temporaries against JLArrays 0.3.2 #296).tensortrace!plan leak fixed — the reduction workspace was previously only reclaimed by the finalizer; 10⁴ traces grew live device memory by 1.22 GiB, now 9.8 KiB (Fix plan leak in cuTENSORtensortrace!#294).Diagonaladds —tensoradd!bypassesPermutedDimsArrayforDiagonalarguments (Special case tensoradd! to bypass PermutedDimsArray for Diagonals #297).Full Changelog
See CHANGELOG for the complete list of changes.