rel-2.38.0

What's Changed

New Features 🎉

• Add QZ Op and support for Numba solve_discrete_are by @jessegrabowski in #1859
• Implement xtensor.signal.convolve1d by @ricardoV94 in #1868
• Implement StructuredDotGradCSR and StructuredDotGradCSC in numba backend by @tomicapretto in #1860
• Implement sparse HStack and VStack in numba backend by @tomicapretto in #1889
• Implement shared XTensorVariables by @ricardoV94 in #1882
• Implement vectorize_graph for XTensor Ops by @ricardoV94 in #1876

Bugfixes 🐛

• Abort local_block_diag_dot_to_dot_block_diag when n_inputs < 2 by @jessegrabowski in #1865
• Fix xtensor broadcast dtypes by @ricardoV94 in #1877
• Fix xtensor discrete reduction by @ricardoV94 in #1879
• Fix empty xtensor indexing by @ricardoV94 in #1880
• Respect late introduction of ShapeFeature by @ricardoV94 in #1881
• Fix incorrect static output shape in MatrixPinv for non-square inputs by @WHOIM1205 in #1885

Maintenance 🔧

• Numba sparse: optimize csc @ csc by @ricardoV94 in #1866
• Numba sparse dot: reduce number of conversions for non-csr inputs by @tomicapretto in #1873
• Stabilize logdiffexp_to_log1mexpdiff -inf, -inf case by @ricardoV94 in #1883
• Allow infer_shape to work with xtensor lowering by @ricardoV94 in #1891

New Contributors

• @WHOIM1205 made their first contribution in #1885
• @arpanjha234 made their first contribution in #1890

Full Changelog: rel-2.37.0...rel-2.38.0

rel-2.37.0

What's Changed

Major Changes 🛠

• Do not raise in linalg Ops by @ricardoV94 in #1834

New Features 🎉

• Add rewrite to fuse nested BlockDiag Ops by @eby0303 in #1671
• Fix gradient of minimize and root wrt higher-dimensional arguments by @jessegrabowski in #1806
• Determinant of factorized matrices by @ricardoV94 in #1785
• Improved Linear Control Ops, with Numba Dispatches by @jessegrabowski in #1840
• Basic Sparse functionality in Numba by @ricardoV94 in #1676
• Implement sparse dot product in numba backend by @tomicapretto in #1854

Bugfixes 🐛

• Do not coerce gradients to TensorVariable by @ricardoV94 in #1685
• Fix bug in local_block_diag_dot_to_dot_block_diag by @ricardoV94 in #1839
• Fix issues with split and split_dims by @ricardoV94 in #1828
• Tweaks to reshape Ops by @ricardoV94 in #1842
• Fix scalar Blockwise in numba backend by @ricardoV94 in #1846

Maintenance 🔧

• local_[div|mul]_switch_sink: Allow zero inside a DimShuffle/Alloc by @ricardoV94 in #1850

New Contributors

• @eby0303 made their first contribution in #1671
• @tomicapretto made their first contribution in #1854

Full Changelog: rel-2.36.3...rel-2.37.0

rel-2.36.3

What's Changed

Major Changes 🛠

• Remove deprecated AbstractConv Ops and tests by @jessegrabowski in #1817

New Features 🎉

• Implement L_Op for join_dims and split_dims by @jessegrabowski in #1812

Bugfixes 🐛

• Fix local_subtensor_of_squeeze when squeezing multiple dimensions by @jessegrabowski in #1819
• Fix unboxing of numpy boolean scalars in C-backend by @ricardoV94 in #1790
• Exclude numba rewrites from JAX Scan rewrites by @ricardoV94 in #1825
• JAX Scan: Fix bug when recurring trace matches final requested size by @ricardoV94 in #1826
• Fix BlockDiag failure to compile in numba backend by @ricardoV94 in #1830
• Numba DimShuffle: special case for 0d input by @ricardoV94 in #1832

Maintenance 🔧

• Allow caching of cython functions in numba backend by @jessegrabowski in #1807
• Eager check for invalid ndim in TensorType by @ricardoV94 in #1813
• Implement tri symbolically by @ricardoV94 in #1814
• Cache tridiagonal solve in numba mode by @jessegrabowski in #1816
• Switch to new Scan API in jacobian by @ricardoV94 in #1824
• Rewrite log1mexp(log1mexp(x)) to x by @maresb in #1831

Full Changelog: rel-2.36.2...rel-2.36.3

rel-2.36.2

What's Changed

Bugfixes 🐛

• Numba Dirichlet: Fix case with discrete alpha parameter by @ricardoV94 in #1801
• Numba RVs: Include output_bc_pattern in cache key by @ricardoV94 in #1804
• Clone inner graph ops by @ricardoV94 in #1809
• Fix non-inplace IfElse on numba backend by @emekaokoli19 in #1765

Maintenance 🔧

• Consider numba fastmath config in cache key by @ricardoV94 in #1810

New Contributors

• @kirillrdy made their first contribution in #1805

Full Changelog: rel-2.36.1...rel-2.36.2

rel-2.36.1

What's Changed

New Features 🎉

• Added PyTorch clip dispatch by @fonnesbeck in #1797
• Implement pack/unpack helpers by @jessegrabowski in #1578

Bugfixes 🐛

• Allow numba cache path to create parent directory by @ricardoV94 in #1798
• Fix output ordering in new Scan API by @ricardoV94 in #1799

Maintenance 🔧

• Revert accidental structured sparse changes by @ricardoV94 in #1800

Full Changelog: rel-2.36.0...rel-2.36.1

rel-2.36.0

What's Changed

Major Changes 🛠

• Support Python 3.14 by @Armavica in #1661
• Numba full backend support and required dependency by @ricardoV94 in #811
• Start deprecating shared updates functionality in Scan by @ricardoV94 in #1704
• Reorganize the sparse module by @jessegrabowski in #1674
• Remove tensor/io.py by @ricardoV94 in #1766
• Remove InRange scalar Op by @Copilot in #1699

New Features 🎉

• Add more MLX dispatches by @jessegrabowski in #1684
• Add linalg Ops to MLX backend by @cetagostini in #1700
• Reliable caching of Graphs and individual Ops in numba backend by @ricardoV94 in #1637
• Support TypedList on Numba backend by @ricardoV94 in #1745
• Implement numba dispatch for ScalarLoop by @ricardoV94 in #1445
• Implement Convolve2D Op by @jessegrabowski in #1397
• Numba AdvancedIndexing: Complete support for integer advanced indexing by @ricardoV94 in #1778
• Implement Scan based filter helper by @emekaokoli19 in #1717
• Support Scan with MIT-MOT in JAX backend by @ricardoV94 in #1651

Bugfixes 🐛

• Ignore axis argument in numba CumOp when input is 1d by @jessegrabowski in #1691
• Fix pytensor_cache clear by @ricardoV94 in #1694
• Fix 0-sized CGemV with unitialized memory by @ricardoV94 in #1719
• Handle non-constant NoneTypeT variables by @ricardoV94 in #1728
• Fix numba cache bugs and suppress noisy warnings by @ricardoV94 in #1731
• Fix shape error formatting in C impl of Elemwise by @ricardoV94 in #1749
• Numba Pow: Fix failure with discrete integer exponents by @ricardoV94 in #1758
• Handle upcasting of scalar to vector arrays by scipy vector optimizers by @ricardoV94 in #1768
• Validate compatible linker in Scan Python/C backend by @ricardoV94 in #1757
• Numba and JAX Scan fixes by @ricardoV94 in #1754
• Handle F-order and arbitrary index ndim in numba UnravelIndex and RavelMultiIndex by @ricardoV94 in #1770
• Misc numba fixes by @ricardoV94 in #1771
• Numba Dot: Handle complex inputs by @ricardoV94 in #1776
• Numba RavelMultiIndex: Fix scalars with clip mode by @ricardoV94 in #1775
• Fix Elemwise inside OpFromGraph in numba mode by @ricardoV94 in #1774
• Avoid runtime broadcast error due to dot_to_mul rewrite by @ricardoV94 in #1783
• Optimize: Handle gradient wrt scalar inputs and guard against unsupported types by @ricardoV94 in #1784
• Numba CAReduce: respect acc_dtype by @ricardoV94 in #1773
• Fix wrap_jax when there is a mix of statically known and unknown shapes by @ricardoV94 in #1722

Documentation 📖

• Fix latex formatting in VJP autodiff example by @williambdean in #1726

Maintenance 🔧

• Rename sparse functions to match numpy array API by @jessegrabowski in #1663
• Remove scalar_ prefix from several Ops by @Copilot in #1683
• Add __rtruediv__ and __rfloordiv__ to Scalar variables by @Copilot in #1701
• Fix Blockwise vmap dispatch for no batch dimensions by @cetagostini in #1705
• JITLinker improvements by @ricardoV94 in #1746
• Numba fallback to object mode in more cases by @ricardoV94 in #1747
• Remove transfer_type and default inplace Elemwise Ops by @ricardoV94 in #1752
• Speedup RNG copy in non-mutable RVs by @emekaokoli19 in #1721
• Sort and Argsort: Check axis are integers by @ricardoV94 in #1769
• Numba do not cache inplace list ops by @ricardoV94 in #1767
• Handle mixed input dtypes and empty size in numba lapack functions by @ricardoV94 in #1764
• Rewrite concatenate([x, x]) as tile by @tchan102 in #1714

New Contributors

• @cetagostini made their first contribution in #1700
• @tchan102 made their first contribution in #1714
• @emekaokoli19 made their first contribution in #1717
• @Mr-Imperium made their first contribution in #1748

Full Changelog: rel-2.35.1...rel-2.36.0

rel-2.35.1

What's Changed

Major Changes 🛠

• Handle axis=None symbolically instead of within CumOp by @Copilot in #1574

New Features 🎉

• Refactor Expm and add jax dispatch by @jessegrabowski in #1668

Bugfixes 🐛

• Fix C-cache bug related to input order of nominal variables by @ricardoV94 in #1673
• Don't return tuple from jax.scipy.linalg.qr when mode = 'r' by @jessegrabowski in #1682

Maintenance 🔧

• Move shared HStack and VStack methods to Stack superclass by @jessegrabowski in #1662
• Fix MKL BLAS detection with renamed libiomp5md.lib by @maresb in #1667
• Cleanup numba dispatches by @ricardoV94 in #1648
• Use incsubtesor in gradient of repeat by @ricardoV94 in #1621
• Suppress numpy warnings in python implementation of Elemwise by @ricardoV94 in #1681

Full Changelog: rel-2.35.0...rel-2.35.1

rel-2.35.0

What's Changed

Major Changes 🛠

• Drop Python 3.10 and NumPy < 2 by @Armavica in #1253
• Remove sparse.sandbox by @jessegrabowski in #1664

New Features 🎉

• Add MLX backend by @williambdean in #1365

Bugfixes 🐛

• Fix rewrite weakref leak by @ricardoV94 in #1660

Documentation 📖

• Fix issue #1554: Preserve custom thumbnails in gallery script by @Copilot in #1649

Maintenance 🔧

• Use LAPACK functions for cho_solve, lu_factor, solve_triangular by @Fyrebright in #1605

Full Changelog: rel-2.34.0...rel-2.35.0

rel-2.34.0

What's Changed

Major Changes 🛠

• Implement wrap_jax and rename as_op to wrap_py by @aseyboldt in #1614

New Features 🎉

• Add logsumexp to xtensor by @zaxtax in #1629

Bugfixes 🐛

• Fix flip to handle negative axis correctly by @Copilot in #1628
• Fix FusionOptimizer bug by @ricardoV94 in #1630

New Contributors

• @Copilot made their first contribution in #1628

Full Changelog: rel-2.33.0...rel-2.34.0

rel-2.33.0

What's Changed

Major Changes 🛠

• Remove unused graph rewriting functionality by @ricardoV94 in #1595
• Speedup graph traversal functions by @ricardoV94 in #1596

New Features 🎉

• Implement OpPattern for more flexible tracks and PatternNodeRewriter by @ricardoV94 in #1594

Bugfixes 🐛

• Fix failure with narrowing of ssize_t to int in macos by @ricardoV94 in #1602

Documentation 📖

• Add gallery notebook on vector jacobian products by @ricardoV94 in #1544
• Normalizing Flows in PyTensor Notebook by @juanitorduz in #1588
• Add intro notebook from workshop by @juanitorduz in #1585

Maintenance 🔧

• Add rewrite for log(sqrt(x)) by @williambdean in #1555
• Tweak rewrites in infer_shape dataset by @ricardoV94 in #1563
• Add rewrite for softplus(log(x)) -> log1p(x) by @lciti in #1452
• Implement static shape inference for AdvancedSubtensor by @ricardoV94 in #1566
• Rewrite more cases of Blockwise IncSubtensor by @ricardoV94 in #1560
• Skip scan rewrites if there is no Scan Op in the graph by @ricardoV94 in #1600
• Add compiler_verbose config flag by @ricardoV94 in #1520
• Use vectorized jacobian in Minimize Op by @Michal-Novomestsky in #1582
• Speedup FusionOptimizer by @ricardoV94 in #1615

New Contributors

• @jorenham made their first contribution in #1597
• @Michal-Novomestsky made their first contribution in #1582

Full Changelog: rel-2.32.0...rel-2.33.0