Contents

aesara 2.9.4

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A library for defining, optimizing, and efficiently evaluating mathematical expressions involving mu

A library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

Stars: 1179, Watchers: 1179, Forks: 155, Open Issues: 331

The aesara-devs/aesara repo was created 4 years ago and the last code push was 1 months ago.
The project is very popular with an impressive 1179 github stars!

How to Install aesara

You can install aesara using pip

pip install aesara

or add it to a project with poetry

poetry add aesara

Package Details

Author
None
License
BSD-3-Clause
Homepage
None
PyPi:
https://pypi.org/project/aesara/
GitHub Repo:
https://github.com/aesara-devs/aesara

Classifiers

  • Scientific/Engineering/Mathematics
  • Software Development/Code Generators
  • Software Development/Compilers
No  aesara  pypi packages just yet.

Errors

A list of common aesara errors.

Code Examples

Here are some aesara code examples and snippets.

GitHub Issues

The aesara package has 331 open issues on GitHub

  • Constant folding overrides broadcastable pattern
  • Update the high-level API documentation
  • ifelse should be available in the aesara namespace
  • Added Ops for np.linspace, np.logspace and np.geomspace
  • Limit the use of equal_computations in Scan rewrites
  • Prevent Scan.__eq__ from walking inner-graphs
  • Make sure we don't constant fold Shapes before shape inference
  • tensor.zeros fails with symbolic scalar values
  • Remove mode-based test runs
  • Remove floatX-based test runs
  • Reconsider Alloc's canonical form and rewrites
  • Implement a generalized Op.[grad, R_op, L_op] for CAReduce
  • Implement Op for linspace and similar numpy functions
  • Make Sparse tensor Types extend TensorType
  • Remove MaxAndArgmax

See more issues on GitHub