loongson/pypi/: theano1.0.5 metadata and description
Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.
author  LISA laboratory, University of Montreal 
author_email  theanodev@googlegroups.com 
classifiers 

keywords  theano math numerical symbolic blas numpy gpu autodiff differentiation 
license  BSD 
platform 

provides_extras  doc 
requires_dist 

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Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multidimensional arrays. It is built on top of NumPy. Theano features:
 tight integration with NumPy: a similar interface to NumPy’s. numpy.ndarrays are also used internally in Theanocompiled functions.
 transparent use of a GPU: perform dataintensive computations up to 140x faster than on a CPU (support for float32 only).
 efficient symbolic differentiation: Theano 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 unittesting and selfverification: includes tools for detecting and diagnosing bugs and/or potential problems.
Theano has been powering largescale computationally intensive scientific research since 2007, but it is also approachable enough to be used in the classroom (IFT6266 at the University of Montreal).
Release Notes
Theano 1.0.5 (27th of July 2020)
This is a maintenance release of Theano, version 1.0.5, with no new features, but some deprecation fixes.
We recommend that everybody update to this version.
Highlights (since 1.0.4):
 Theano is now compatible with Python 3.9
 Fixed many deprecation warnings
A total of 13 people contributed to this release since 1.0.4:
 1fish2
 Frederic Bastien
 Rebecca Palmer
 Miro Hrončok
 Dan ForemanMackey
 Adrian Seyboldt
 abergeron
 Tim Gates
 Tim Odonnell
 Robert P. Goldman
 Duc Nguyen
 Igor Varfolomeev
 Thomas Wiecki