This release is a pre-release and may not be stable for production use.
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.
4 maintainers
Metadata
4 maintainers
Release files for aesara-nightly 2.5.3.dev20220326
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| aesara-nightly-2.5.3.dev20220326.tar.gz | 1.5 MB | Details |
Release files / aesara-nightly-2.5.3.dev20220326.tar.gz
| Download URL | aesara-nightly-2.5.3.dev20220326.tar.gz |
|---|---|
| Size | 1.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c086834893484d7cb540a676fe0a48286cf14d1083b059c29321c0e1401ce978
|
|
BLAKE2b-256 checksum How to use checksums |
66933f903d3f65592232a9223bac5469f7241e8f77c06dfb6c134d2a851e0948
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.12
|
