Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for brandonwillard from gravatar.com brandonwillard Avatar for dgerlanc from gravatar.com dgerlanc Avatar for rlouf from gravatar.com rlouf

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD)
  • Author: aesara-devs
  • Tags aesara, math, numerical, symbolic, blas, numpy, gpu, autodiff, differentiation
Classifiers

Project description

Aesara is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy. Aesara features:

  • tight integration with NumPy: a similar interface to NumPy’s. numpy.ndarrays are also used internally in Aesara-compiled functions.

  • transparent use of a GPU: perform data-intensive computations up to 140x faster than on a CPU (support for float32 only).

  • efficient symbolic differentiation: Aesara can compute derivatives for functions of one or many inputs.

  • speed and stability optimizations: avoid nasty bugs when computing expressions such as log(1 + exp(x)) for large values of x.

  • dynamic C code generation: evaluate expressions faster.

  • extensive unit-testing and self-verification: includes tools for detecting and diagnosing bugs and/or potential problems.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for brandonwillard from gravatar.com brandonwillard Avatar for dgerlanc from gravatar.com dgerlanc Avatar for rlouf from gravatar.com rlouf

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD)
  • Author: aesara-devs
  • Tags aesara, math, numerical, symbolic, blas, numpy, gpu, autodiff, differentiation
Classifiers

Release history Release notifications | RSS feed

2.9.4

2.9.3

2.9.2

2.9.1

2.9.0

2.8.12

2.8.11

2.8.10

2.8.9

2.8.8

2.8.7

2.8.6

2.8.5

2.8.4

2.8.3

2.8.2

2.8.1

2.8.0

2.7.10

2.7.9

2.7.8

2.7.7

2.7.6

2.7.5

2.7.4

2.7.3

2.7.2

2.7.1

2.7.0

2.6.6

2.6.5

2.6.4

2.6.3

2.6.2

2.6.1

2.6.0

2.5.3

2.5.2

2.5.1

2.5.0

2.4.0

2.3.8

2.3.7

2.3.6

2.3.5

2.3.4

2.3.3

This version

2.3.2

2.3.1

2.3.0

2.2.6

2.2.5

2.2.4

2.2.3

2.2.2

2.2.1

2.2.0

2.1.3

2.1.2

2.1.1

2.1.0

2.0.12

2.0.11

2.0.10

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aesara-2.3.2.tar.gz (1.5 MB view details)

Uploaded Source

File details

Details for the file aesara-2.3.2.tar.gz.

File metadata

  • Download URL: aesara-2.3.2.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for aesara-2.3.2.tar.gz
Algorithm Hash digest
SHA256 ad893a461546b1747495fb278676633bb8e0adaa8b4e1b0bdfff2feb328d15e6
MD5 008baa0c5acc4ca2b4c6cddef780eab3
BLAKE2b-256 004735aa424cbae64fbeebb5782af3ab651d17131ed95070c3f358abe6899f6e

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page