v0.6.1 - Maintenance Release

What's Changed

• Update deprecated sparse tensor construction by @Balandat in #110
• Remove version pins for mpmath and typeguard by @Balandat in #112
• Adding _noop_index for the block dimension in block_linear_operator.py by @lpapenme in #115
• Convert base_linear_op to a dense linear operator in BlockDiagLinearOperator by @kayween in #119
• Remove jaxtyping dependency by @Balandat in #121
• Speed up MatmulLinearOperator.to_dense() for DiagLazyTensors by @Balandat in #122
• Upgrade to use py3.10 features by @Balandat in #123
• Make linear operators pickleable by @kayween in #124

New Contributors

• @lpapenme made their first contribution in #115
• @kayween made their first contribution in #119

Full Changelog: v0.6...v0.6.1

v0.6 (requires Python 3.10 and PyTorch 2.0)

LinearOperator now requires

• Python >= 3.10
• Pytorch >= 2.0

What's Changed

• Corrected configuration of exclude statements in pre-commit configuration by @JonathanWenger in #104
• Unpin jaxtyping by @saitcakmak in #105
• Fix docs build by @saitcakmak in #109
• Version bump by @gpleiss in #108

New Contributors

• @JonathanWenger made their first contribution in #104

Full Changelog: v0.5.3...v0.6

v0.5.3

What's Changed

• Fix issue with negative indexing in CatLinearOperator by @Balandat in #80
• Use absolute imports by @saitcakmak in #85
• Suppress linter warnings on import from non-existent file by @saitcakmak in #86
• Make pytorch a conda runtime dependency by @Balandat in #88
• Pin mpmath to <=1.3.0 by @Balandat in #94
• linear_operator cat_rows performance improvement by @naefjo in #93
• Fix errors in docs by @gpleiss in #96
• Typeguard 4.3.0 by @ChristianWirthContinental in #97
• Unify tolerance specification for test_diagonalization() by @Turakar in #91
• Fix dtype/device mismatch in _get_indices() by @Turakar in #90

New Contributors

• @naefjo made their first contribution in #93
• @ChristianWirthContinental made their first contribution in #97

Full Changelog: v0.5.2...v0.5.3

v0.5.2

What's Changed

• Fix type error when converting interpolated_linear_operator to double precision by @CY-Zhang in #74
• Update RTD configuration. by @gpleiss in #75

New Contributors

• @CY-Zhang made their first contribution in #74

Full Changelog: v0.5.1...v0.5.2

v0.5.1 (MaskedLinearOperator)

What's Changed

• Fix type of KroneckerProductLinearOperator.linear_ops (in some cases) by @Balandat in #66
• Add MaskedLinearOperator by @Turakar in #69
• Fix normalization of initial guess in linear_cg() by @Turakar in #71
• Add short path for LinearOperator.repeat() by @Turakar in #70
• Fix _t_matmul() in MaskedLinearOperator and add test by @Turakar in #72

New Contributors

• @Turakar made their first contribution in #69

Full Changelog: v0.5.0...v0.5.1

v0.5.0 (KernelLinearOperator)

What's Changed

• Add stricter type checking and expected matrix sizes by @corwinjoy in #42
• Re-remove @cached decorator for TriangularLinearOperator.to_dense by @Balandat in #59
• Make jaxtyping dep install requirement by @Balandat in #60
• Fix an issue for DiagLinearOperator if its _diag is a scalar tensor by @Balandat in #61
• Clean up deprecation warnings by @saitcakmak in #63
• Catch some warnings in linear_cg tests by @Balandat in #64
• Add KernelLinearOperator, deprecate KeOpsLinearOperator by @gpleiss in #62

New Contributors

• @corwinjoy made their first contribution in #42

Full Changelog: v0.4.0...v0.5.0

v0.4.0

What's Changed

• Allow .to() to operate on tensors by @Balandat in #45
• Change _dtype_value_context init args to *_value. by @Balandat in #47
• Fix missing dtype arg in _dtype_value_context by @saitcakmak in #49
• Use raw strings to avoid "DeprecationWarning: invalid escape sequence" by @saitcakmak in #52
• Remove @cached decorator for TriangularLinearOperator.to_dense by @Balandat in #51
• Format using ufmt, upgrade pre-commit config by @Balandat in #56

New Contributors

• @saitcakmak made their first contribution in #49

Full Changelog: V0.3.0...v0.4.0

v0.3.0

Merge pull request #39 from SebastianAment/permutation

Adding Permutation Linear Operators

v0.2.0 New torch api compatibility, bug fixes

What's Changed

Documentation

• Add basic example notebook by @Balandat in #17

New torch api compatibility

• Register torch.linalg.solve_triangular with LinearOperator by @Balandat in #29
• Register torch.isclose by @Balandat in #31
• Introduce reshape by @Balandat in #32

Performance

• Performant Scaling of BlockDiagLinearOperator by DiagLinearOperator by @SebastianAment in #14
• Edits to generic add, BlockDiagLinearOperator's matmul, and documentation by @SebastianAment in #10

Bug Fixes

• Fix linear operator mul torch.Tensor by @dannyfriar in #35
• Update LO.getitem to handle broadcasted tensor indices. by @gpleiss in #26
• adding unsqueeze to initial_guess in linear_cg when appropriate by @tvercaut in #22
• Removing deepcopy in add because of downstream failure in BoTorch by @SebastianAment in #12
• Patches for ConstantDiagLinearOperator._mul_constant and ConstantMulLinearOperator._getitem. by @j-wilson in #37

New Contributors

• @wbeardall made their first contribution in #9
• @tvercaut made their first contribution in #22
• @karstenBehrendt made their first contribution in #36
• @dannyfriar made their first contribution in #35
• @j-wilson made their first contribution in #37

Full Changelog: v0.1.1...v0.2.0

v0.1.1

Full Changelog: v0.1.0...v0.1.1