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

2.3.2

2.3.1

2.3.0

2.2.6

2.2.5

2.2.4

This version

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-2.2.3.tar.gz (1.5 MB view details)

Uploaded Source

File details

Details for the file aesara-2.2.3.tar.gz.

File metadata

  • Download URL: aesara-2.2.3.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for aesara-2.2.3.tar.gz
Algorithm Hash digest
SHA256 1af39257065450844b78a2502ae38e79ac83d1a42ffa8b93f9b1c505cf7c6437
MD5 3de2a143341814b9def9e1443bdd47b9
BLAKE2b-256 86c6c9f50298fb49980ade9b7263dd73a6dde0c1a7b182102b89c1e2814ae5a3

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