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 2.3.2.dev20211215
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-2.3.2.dev20211215.tar.gz | 1.5 MB | Details |
Release files / aesara-nightly-2.3.2.dev20211215.tar.gz
| Download URL | aesara-nightly-2.3.2.dev20211215.tar.gz |
|---|---|
| Size | 1.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0b8f44c5d97ea782322b3d95250532ab50b5bbe82b5c85c123d2763796a6f821
|
|
BLAKE2b-256 checksum How to use checksums |
54d6b0f778a1d4ed0941744c09d8f4658bb37885106c1b977f0789700325bec3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9
|
