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.
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
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-2.3.3.dev20211227.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 13ba8443566c8f62ec40983dbc35f26ec5a4035712a13bba84419a803169612d |
|
MD5 | c2923d7bb94dcb2fa21c55ea6fe4c88a |
|
BLAKE2b-256 | 96b22e7dda7219fe8f7eddb1d2cdfb0fe8bef7bdb4280e34378950f405a71913 |