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.
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
File details
Details for the file aesara-nightly-2.3.7.dev20220125.tar.gz.
File metadata
- Download URL: aesara-nightly-2.3.7.dev20220125.tar.gz
- Upload date:
- Size: 1.5 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 47f24fad7a98610dd4a74e3f5eeeeff06e511d05683ff8b506e08501b6c10231 |
|
| MD5 | fc80ecee90e1ffe39ac82084807f50ee |
|
| BLAKE2b-256 | bb8c90da08c4693d1e030905b51562b012c49d1fdf82f3c280a513711de7589e |
