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@brandonwillard brandonwillard released this 11 Jul 18:20
· 1170 commits to main since this release

The following changes were made in this release:

  • Added logsumexp and logaddexp
  • Numba backend improvements (e.g. less indirect function calls in generated code)
  • Added NumPy Generator support for RandomVariables
  • Added missing hermitian option to MatrixPinv
  • Renamed aesara.tensor.nlinalg.lstsq class to Lstsq
  • Updated aesara.tensor.slinalg.Solve to match the current SciPy interface
  • Work around squeeze bug in SciPy samplers
  • Added betainc Op
  • Added cases for log1msigm and Softplus in local_exp_log opt
  • Added stabilize opt for log1mexp
  • Added a log1mexp Op
  • Added log1pexp alias to softplus
  • Added Numba support for RandomVariable Ops
  • Introduced an aesara.tensor.linalg module that combines the nlinalg and slinalg modules
  • Removed Hints
  • Add Numba conversions for aesara.tensor.nlinalg.pinv and inv
  • Preserve broadcastable dimensions in params_broadcast_shapes
  • Added shape_tuple helper function
  • Fixed broadcasting bug in broadcast_shape_iter