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.dev20220626.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | e6426407a52abe4c465eec0b4888c17f2f27e2da865d171142ea254122b4bacc |
|
MD5 | 8d863363395ab0f60b4faee5e15e99fe |
|
BLAKE2b-256 | ea850fad77939d2ecb3363fcb69eaa10efe1d30de93e38b16c3803b4e4da4091 |