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, autodiff, differentiation
  • Requires: Python >=3.7
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.

  • 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, autodiff, differentiation
  • Requires: Python >=3.7
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

This version

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

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-2.8.5.tar.gz (7.4 MB view details)

Uploaded Source

Built Distribution

aesara-2.8.5-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file aesara-2.8.5.tar.gz.

File metadata

  • Download URL: aesara-2.8.5.tar.gz
  • Upload date:
  • Size: 7.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for aesara-2.8.5.tar.gz
Algorithm Hash digest
SHA256 b7560a0ef364a9608619679a2fd632ba9e87ef727f707b2ee04504cf9d6b7456
MD5 fc8c099cf360a47be2ba6d7475e94857
BLAKE2b-256 f9faacde1e75e01f6fe25355b3c3c7a3ffa5ef53dcf5e54619b2424fae347762

See more details on using hashes here.

Provenance

File details

Details for the file aesara-2.8.5-py3-none-any.whl.

File metadata

  • Download URL: aesara-2.8.5-py3-none-any.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for aesara-2.8.5-py3-none-any.whl
Algorithm Hash digest
SHA256 24deebefcdae20b94128de31e8f628e0c130a3ba24255cecaefe2d7b77926c2c
MD5 4d738459aaf43cfcadb1d891a60359b9
BLAKE2b-256 2b6577704fa8b2cd10439503251435bd5b2830083ae72dd36d4bf55ca3cd7169

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