What's Changed

Bugfixes 🐛

• Fix bug due to __props__ in OpFromGraph subclasses by @ricardoV94 in #981

Full Changelog: rel-2.25.3...rel-2.25.4

What's Changed

New Features 🎉

• Add einsum by @jessegrabowski in #722
• Implements shape Ops and MakeVector in PyTorch by @twaclaw in #926
• Implement Dot and BatchedDot in PyTensor by @HangenYuu in #878
• Implement pad by @jessegrabowski in #748
• Implement nlinalg Ops in PyTorch by @twaclaw in #920
• Added rewrite for matrix inv(inv(x)) -> x by @tanish1729 in #893

Documentation 📖

• Added new tutorial on PRNGs with RandomVariables by @HangenYuu in #928
• Fixed dead wiki links by @HangenYuu in #950
• Removed emphasis on dtypes in Introduction by @Krupakar-Reddy-S in #968

Maintenance 🔧

• Add OpFromGraph wrapper around alloc_diag by @jessegrabowski in #915
• Remove more unused config options by @Armavica in #948
• Add building of pyodide universal wheels by @twiecki in #918
• Unpin scipy upper version by @ferrine in #972
• Speedup CAReduce C-implementation with loop reordering by @ricardoV94 in #971

New Contributors

• @Ch0ronomato made their first contribution in #941
• @abhishekshah5486 made their first contribution in #964
• @Krupakar-Reddy-S made their first contribution in #968

Full Changelog: rel-2.25.2...rel-2.25.3

What's Changed

New Features 🎉

• Implemented Sort/Argsort Ops in PyTorch by @twaclaw in #897
• Implemented Repeat and Unique Ops in PyTorch by @twaclaw in #890

Bugfixes 🐛

• Fix supplying (base_)compiledir as str by @Armavica in #927

Documentation 📖

• Only consider main branch in README test badge by @Prtm2110 in #832

New Contributors

• @Prtm2110 made their first contribution in #832

Full Changelog: rel-2.25.1...rel-2.25.2

What's Changed

Bugfixes 🐛

• Fix Windows build by @Armavica in #909

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

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

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

✅ 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

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

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

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