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
Hashes for aesara-nightly-2.7.3.dev20220701.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0e45b468ce7513f17b07d1a7a7fb27aa906ce319579fd5ff615b437487ebf844 |
|
MD5 | 19c4b290d8ed54e5cf1a55d0093fab8e |
|
BLAKE2b-256 | e7536d7418c9f4578748fc21d8aa723bb23521b04a43f7cb8f02c8453ce00fcc |