Skip to main content

Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.

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


Release history Release notifications | RSS feed

Download files

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

Source Distribution

aesara-nightly-2.7.9.dev20220804.tar.gz (7.4 MB view details)

Uploaded Source

File details

Details for the file aesara-nightly-2.7.9.dev20220804.tar.gz.

File metadata

File hashes

Hashes for aesara-nightly-2.7.9.dev20220804.tar.gz
Algorithm Hash digest
SHA256 0f8903a002a7d4c790f666e36eb44b2189f9a8afd512187b3a6336b43060c055
MD5 07f425399229c5a693021e28a4a08e0b
BLAKE2b-256 e240d2c10117e570fc26e91fba93570659468b4e6eaac3c62b48988cd8dd5ce5

See more details on using hashes here.

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