rel-2.25.1

What's Changed

Bugfixes 🐛

• Fix Windows build by @Armavica in #909

Full Changelog: rel-2.25.0...rel-2.25.1

rel-2.25.0

What's Changed

Major Changes 🛠

• Replace str "output" by a dummy Op in the clients of the FunctionGraph by @ricardoV94 in #790

Bugfixes 🐛

• Increase precision of betainc C implementation by @ricardoV94 in #908

Maintenance 🔧

• Remove unused config options by @Armavica in #806
• Improve string representation of Assert Ops by @Dhruvanshu-Joshi in #891

Full Changelog: rel-2.24.2...rel-2.25.0

rel-2.24.2

What's Changed

New Features 🎉

• Add betainc C implementation by @arthus701 in #798
• Support more cases of advanced indexing in Numba by @ricardoV94 in #818
• Add nan_to_num helper by @Dhruvanshu-Joshi in #796
• Implemented Eye Op in PyTorch by @twaclaw in #877
• Add helper to build hessian vector product by @ricardoV94 in #858
• Vectorize make_vector by @ricardoV94 in #889

Bugfixes 🐛

• Fix bug in vectorize of random variables with empty size by @ricardoV94 in #886

Documentation 📖

• Run doctest and fix old examples by @ricardoV94 in #865

Maintenance 🔧

• Fix JAX implementation of Argmax by @HangenYuu in #809
• Remove useless SpecifyShape by @ricardoV94 in #885
• Keep stack trace in random_make_inplace by @ricardoV94 in #735

New Contributors

• @arthus701 made their first contribution in #798
• @twaclaw made their first contribution in #877

Full Changelog: rel-2.24.1...rel-2.24.2

rel-2.24.1

✅ Now available on conda-forge after major outage conda-forge/status#181 ✅

What's Changed

New Features 🎉

• Pytorch support for Join and Careduce Ops by @HarshvirSandhu in #869
• Add docs on implementing Pytorch Ops (and CumOp) by @HarshvirSandhu in #837

Bugfixes 🐛

• Fix too restrictive type assert by @ricardoV94 in #880

Full Changelog: rel-2.24.0...rel-2.24.1

rel-2.24.0

What's Changed

Major Changes 🛠

• Add initial support for PyTorch backend by @HarshvirSandhu in #764
• Break MaxandArgmax Op to seperate TensorMax Op and Argmax Op by @Dhruvanshu-Joshi in #731

New Features 🎉

• Implement basic Alloc Ops in PyTorch by @ricardoV94 in #836
• Do not use Numba objmode for supported advanced indexing operations by @ricardoV94 in #805
• Improve static output shapes of Reshape and AdvancedSubtensor1 by @ricardoV94 in #834
• Add more specialized static output shape to Eye by @ricardoV94 in #841
• Update tensor.where to allow for case with only condition by @tanish1729 in #844
• Implement JAX dispatch for Argsort and add stable argument to sorting functions by @ricardoV94 in #848
• Add rewrite to merge multiple SVD Ops with different settings by @HangenYuu in #769
• Implemented JAX backend for Eigvalsh by @HangenYuu in #867
• PyTorch Softmax Ops by @HAKSOAT in #846
• Rewrite determinant of diagonal matrix as product of diagonal by @tanish1729 in #797

Bugfixes 🐛

• Fix numba implementation of cholesky not setting off-diag entries to zero by @aseyboldt in #816
• Replace RNG update in RV lift rewrites by @ricardoV94 in #870

Maintenance 🔧

• Fix E721: do not compare types, for exact checks use is / is not by @maresb in #596
• Minor: Fix dependencies by @maresb in #813
• Add jax dispatch for KroneckerProduct Op by @jessegrabowski in #822
• Fix typing in subtensor module by @michaelosthege in #823
• Upper pin scipy temporarily by @ricardoV94 in #863
• Remove conservative checks for supported Subtensors operations in JAX by @ricardoV94 in #849
• Check for square matrix in make_node to Det by @tanish1729 in #861
• Add dprint shortcut to FunctionGraph and Function by @ricardoV94 in #779

New Contributors

• @HAKSOAT made their first contribution in #846

Full Changelog: rel-2.23.0...rel-2.24.0

rel-2.23.0

What's Changed

Major Changes 🛠

• Add support for random Generators in Numba backend by @ricardoV94 in #69. This PR introduces multiple (long delayed) breaking changes regarding RandomVariables:
  • Number of default inputs is reduced from 3 (rng, size, dtype) to 2 (rng, size). Other than changes in the signature, any code that relied on positional indexing to split these parameters from the distribution parameters like dist_params = x.owner.inputs[3:] must be updated. A helper RandomVariable method dist_params can be used instead like dist_params = x.owner.op.dist_params(x.owner)
  • A distinct RandomVariable Op must now be created for each distinct dtype. Comparisons that don't care about this distinction that used to look like x.owner.op == normal should be replaced by isinstance(x.owner.op, NormalRV)
  • Support for legacy RandomState variables removed. Rng variables must now be of RandomGenerator type. randint, which only worked with RandomState rngs was removed. Use integers instead.
  • size=None is no longer internally converted to size=(). size=() now behaves differently than size=None (just like Numpy)
  • Definition of ndims_params and ndim_supp is deprecated in favor of a numpy-like gufunc signature such as (),(p)->(p) for MultinomialRV.ndims_params and ndim_supp are now derived from the signature, and available only as properties of initialized RandomVariable Ops.
  • Explicit expand_dims are now introduced for parameters that are being broadcasted internally by the RandomVariable Op, like Elemwise and Blockwise do.

Bugfixes 🐛

• Fix gradient of OpFromGraph with disconnected/related outputs by @ricardoV94 in #723
• Fix bug in slogdet and expose it in linalg module by @theorashid in #807

Maintenance 🔧

• Do not reject PatternNodeRewriter due unrelated multiple clients by @ricardoV94 in #789
• Do not emmit confusing warning from FusionOptimizer by default by @ricardoV94 in #794
• Harmonize Scan rewrite and tag names by @ricardoV94 in #793
• Add types to functions in printing.py by @Armavica in #804

New Contributors

• @theorashid made their first contribution in #807

Full Changelog: rel-2.22.1...rel-2.23.0

rel-2.22.1

What's Changed

Bugfixes 🐛

• Fix numba AdvancedIncSubtensor1 with broadcasted values by @ricardoV94 in #757
• Allow fill_sink rewrite to accomodate changes in broadcastability by @ricardoV94 in #785

Maintenance 🔧

• Make ifelse accesible from root by @Dhruvanshu-Joshi in #777

Full Changelog: rel-2.22.0...rel-2.22.1

rel-2.22.0

What's Changed

Major Changes 🛠

• Remove list_of_nodes in favour of applys_between by @Dhruvanshu-Joshi in #776

Bugfixes 🐛

• Fix local_fill_sink rewrite for multiple output Elemwise Ops by @ricardoV94 in #773

Maintenance 🔧

• Fix Choice and Permutation not respecting the RandomVariable contract by @ricardoV94 in #771
• Inline static size inputs in JAX implementation of RandomVariables by @ricardoV94 in #774

Full Changelog: rel-2.21.0...rel-2.22.0

rel-2.21.0

What's Changed

Major Changes 🛠

• Remove TopkOp by @mory91 in #686
• Change behavior of helper set/inc to act on an indexed variable directly by @ricardoV94 in #730

New Features 🎉

• Add matrix_transpose and .mT helpers by @Dhruvanshu-Joshi in #702
• Add rewrite to lift linear algebra through certain linalg ops by @jessegrabowski in #622
• Implement gradient for SVD by @jessegrabowski in #614
• Add helper explicit_graph_inputs by @Dhruvanshu-Joshi in #712
• Allow squeezing of specific non-broadcastable axis by @Dhruvanshu-Joshi in #713
• Implement ufunc_outer like add.outer for binary Elemwise operations by @Dhruvanshu-Joshi in #745
• Vectorize some cases of join and advanced subtensor by @ricardoV94 in #744
• Implement numpy-like Rayleigh distribution by @Dhruvanshu-Joshi in #750

Bugfixes 🐛

• Ensure that gcc path is only added once to DLL search path by @maresb in #678
• Only invoke config.cxx if non-empty by @mark-thm in #704
• Fix broadcasting bug in vectorization of RandomVariables by @ricardoV94 in #738
• Fix scan_checkpoints with sequences by @ricardoV94 in #754
• Fix implementation of several RandomVariables in JAX backend by @ricardoV94 in #767

Documentation 📖

• Update example in "Adding JAX and Numba support for Ops" by @HangenYuu in #687
• Reconcile environment for development and docs building by @HangenYuu in #717

Maintenance 🔧

• Pin Numpy version to <2 by @maresb in #692
• Use add_dll_directory as a context manager by @maresb in #708
• Add support for negative axis in specify_broadcastable by @Dhruvanshu-Joshi in #710
• Add name kwarg to Op.call by @HarshvirSandhu in #693
• Avoid dimshuffle if expand_dims has empty axis by @HangenYuu in #724
• Remove deprecated bin module by @maresb in #726
• Improve variable debugging methods by @ricardoV94 in #729
• Make local_pow_to_nested_squaring rewrite more permissive by @ricardoV94 in #742
• Change github link in documentation header by @lucianopaz in #747
• Remove restrictive broadcastability check in local_blockwise_alloc by @ricardoV94 in #751
• Support int-like shapes in pt.full by @wd60622 in #759
• Enable no-cpython-wrapper in numba where possible by @aseyboldt in #765

New Contributors

• @mory91 made their first contribution in #686
• @HangenYuu made their first contribution in #687
• @Dhruvanshu-Joshi made their first contribution in #702
• @mark-thm made their first contribution in #704

Full Changelog: rel-2.20.0...rel-2.21.0

rel-2.20.0

What's Changed

Major Changes 🛠

• Allow defining an OpFromGraph from constant and shared inputs by @ricardoV94 in #676
• Make Constant and Shared variables subclasses of the respective Variables by @ricardoV94 in #628
• Drop Python 3.9 by @Armavica in #682

New Features 🎉

• Allow more dynamic shape scans to be compiled by @ricardoV94 in #647

Bugfixes 🐛

• Handle implicit broadcasting correctly in RandomVariable vectorization by @ricardoV94 in #664
• Fix bug when broadcasting branches in local_useless_switch rewrite by @ricardoV94 in #681

Maintenance 🔧

• Fix PyPy by eliminating deprecated library detection code by @maresb in #662
• prevent log10 L_op from upcasting by @tvwenger in #668
• Suppress caching warning when compiling Numba functions by @ricardoV94 in #674
• Remove numba-scipy dependency by @ricardoV94 in #675
• Rewriting the kron function using JAX implementation by @tanish1729 in #684

New Contributors

• @tanish1729 made their first contribution in #684

Full Changelog: rel-2.19.0...rel-2.20.0