v5.1.2

TensorOperations v5.1.2

Diff since v5.1.1

Fixes a missing allocator in tensorfree!which led to memory leaks in the ManualAllocatorstrategy

Merged pull requests:

• fix missing allocator in tensorfree (#197) (@Jutho)

Closed issues:

• Einsum Expression works in numpy but not TensorOperations (#195)

v5.1.1

TensorOperations v5.1.1

Diff since v5.1.0

• fix excessive compilation times for large rank arrays

v5.1.0

TensorOperations v5.1.0

Diff since v5.0.2

• remove small type instability in Strided implementations
• fix broken extension behaviour after Julia 1.11.1 update

Merged pull requests:

• Fix an issue with unsorted deleteat (#186) (@lkdvos)
• update strided implementation (#191) (@Jutho)

v5.0.2

TensorOperations v5.0.2

Diff since v5.0.1

Merged pull requests:

• Fix typo in tensoralloc for Bumper allocator (#188) (@leburgel)
• resolve conjugation flags in strided implementations (#190) (@Jutho)

Closed issues:

• possible memory leak with metaprogramming (#139)
• Runtime dispatch overhead for small tensor contractions using the StridedBLAS backend (#189)

v5.0.1

TensorOperations v5.0.1

Diff since v5.0.0

Merged pull requests:

• Jh/checktraceargs (#183) (@Jutho)
• CompatHelper: bump compat for Bumper in [weakdeps] to 0.7, (keep existing compat) (#184) (@github-actions[bot])

Closed issues:

• tensorcontract type stability (#96)
• Unintuitive ncon result when scalar (#152)
• Compability with CUDA 5.2 (#165)
• Confusion when using cuTENSOR (#166)

v5.0.0

TensorOperations v5.0.0

Diff since v4.1.1

• Support for cuTENSOR v2 and with that, more recent version of CUDA.jl
• Further improvement and extension of the backend and allocator support, with in particular, a package extension for allocating temporaries via Bumper.jl, and a new associated @butensor macro.
• Improved AD support
• Fallback implementations for AbstractArray objects which are not strided.
• Breaking changes in the interface: argument order and argument type of the conjugation flags.
• Restricted to Julia 1.8 and higher

Merged pull requests:

• Update to cuTENSOR 2.0 (#160) (@github-actions[bot])
• Fix premature freeing of temporary tensors during reverse mode AD. (#170) (@lkdvos)
• Add naive Base julia AbstractArray implementation (#171) (@lkdvos)
• Bump julia-actions/cache from 1 to 2 (#172) (@dependabot[bot])
• Switch up argument order (#173) (@lkdvos)
• Change conj flags from Symbol to Bool (#176) (@lkdvos)
• add backend types (#181) (@Jutho)
• Alternative Allocators (#182) (@lkdvos)

Closed issues:

• Manual allocation strategy (#143)
• Freed reference problem when combining cuTENSOR and Zygote (#169)
• TensorOperationscuTENSORExt fails to compile (#174)
• Costchecks are not using GlobalRef (#178)
• Optdata cannot use Int as labeltype (#179)
• install newest version? (#180)

v4.1.1

TensorOperations v4.1.1

Diff since v4.1.0

Fix an issue when working with AD and backend selection.

Merged pull requests:

• Add tests indices and labels (#159) (@lkdvos)
• Bump codecov/codecov-action from 3 to 4 (#161) (@dependabot[bot])
• Fix missing non-optional argument in rrules with backend. (#168) (@lkdvos)

Closed issues:

• Combining LinearAlgebra.Diagonal with a CuArray inside @tensor (#164)
• cuTENSOR not working with automatic differentiation (#167)

v4.1.0

TensorOperations v4.1.0

Diff since v4.0.8

Merged pull requests:

• Jh/instantiationbugfix (#158) (@Jutho)

v4.0.8

TensorOperations v4.0.8

Diff since v4.0.7

Merged pull requests:

• fix instantiation bug (#155) (@Jutho)

Closed issues:

• Bug in CUDA backend (#151)

v4.0.7

TensorOperations v4.0.7

Diff since v4.0.6