Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.

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  • License: BSD License (BSD)
  • Author: pymc-devs
  • Tags aesara, math, numerical, symbolic, blas, numpy, gpu, autodiff, differentiation
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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

Verified details

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Maintainers
Avatar for brandonwillard from gravatar.com brandonwillard Avatar for dgerlanc from gravatar.com dgerlanc Avatar for rlouf from gravatar.com rlouf

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD)
  • Author: pymc-devs
  • Tags aesara, math, numerical, symbolic, blas, numpy, gpu, autodiff, differentiation
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2.9.4

2.9.3

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2.0.8

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0.0.1

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