Metadata-Version: 1.1
Name: Theano
Version: 0.9.0.dev2
Summary: Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.
Home-page: http://deeplearning.net/software/theano/
Author: LISA laboratory, University of Montreal
Author-email: theano-dev@googlegroups.com
License: BSD
Description: Theano 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_. Theano features:
        
         * **tight integration with NumPy:** a similar interface to NumPy's. numpy.ndarrays are also used internally in Theano-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:** 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 unit-testing and self-verification:** includes tools for detecting and diagnosing bugs and/or potential problems.
        
        Theano has been powering large-scale computationally intensive scientific
        research since 2007, but it is also approachable enough to be used in the
        classroom (IFT6266 at the University of Montreal).
        
        .. _NumPy: http://numpy.scipy.org/
        
        
        =============
        Release Notes
        =============
        
        
        Theano 0.8.2 (21th of April, 2016)
        ==================================
        
        This is a point release with only the support for cudnn v5 convolution
        and minor fixes.
        
        Highlights:
        - cuDNN v5 convolution support (cuDNN v3 isn't supported anymore)
        - A few crash fixes
        
        
        Theano 0.8.1 (29th of March, 2016)
        ==================================
        
        This is a point release without any new feature.
        
        It fixes compilation issues on MacOS X with the command line tools for
        XCode 7.3, which was released shortly after Theano 0.8.0.
        
        
        Theano 0.8 (21th of March, 2016)
        ================================
        
        We recommend that everybody update to this version.
        
        Highlights:
         - Python 2 and 3 support with the same code base
         - Faster optimization
         - Integration of cuDNN for better GPU performance
         - Many Scan improvements (execution speed up, ...)
         - optimizer=fast_compile moves computation to the GPU.
         - Better convolution on CPU and GPU. (CorrMM, cudnn, 3d conv, more parameter)
         - Interactive visualization of graphs with d3viz
         - cnmem (better memory management on GPU)
         - BreakpointOp
         - Multi-GPU for data parallism via Platoon (https://github.com/mila-udem/platoon/)
         - More pooling parameter supported
         - Bilinear interpolation of images
         - New GPU back-end:
        
           * Float16 new back-end (need cuda 7.5)
           * Multi dtypes
           * Multi-GPU support in the same process
        
        
        A total of 141 people contributed to this release, see the list at the bottom.
        
        
        Installation:
         - Better BLAS detection
         - Fixes for more recent software and OS versions
         - Support Anaconda on Windows
        
        Bug fixes:
         - GpuJoin now supports negative axis
         - Fix GpuCumsum for negative axis
        
        Interface Deprecation (a warning is printed):
         - Deprecate Param class, use In instead
        
        Interface Changes:
         - Rename DownsampleFactorMax to Pool.
         - tensor.stack now uses the same interface as numpy.stack
         - optimizer=fast_compile moves computation to the GPU
         - Raise the user stack trace more frequently.
         - Change dev version numbering to follow the PEP 440
        
        
        New Interface (reuses existing functionality):
         - theano.tensor.nnet.relu
         - theano.tensor.nnet.elu
         - BatchNormalization.
         - MaxAndArgmax support axis=None
         - Add theano.tensor.compress (equivalent of numpy.compress)
         - theano.tensor.signal.downsamples.max_pool_2d_same_size
         - COp
         - __props__
        
        New features
         - tensor.unique
         - map_variables
         - erfcx
         - mgrid, ogrid
         - allclose
         - BreakpointOp
         - Make bincount work on GPU
         - SolveOp on GPU
         - Optional optimization remove_all_assert
         - AllocEmpty
         - LogSoftmax, for stability optimization when the crossentropy optimization does not apply.
         - theano.tensor.repeat works on GPU
         - BatchedDot on the GPU and faster on the CPU.
         - Faster batched_tensordot and make it work on GPU.
         - SoftmaxGrad grad
         - 3d conv via CorrMM on the GPU
         - CPU Max Pool support of padding and strides!=windows size
         - theano.function() now accepts a dict for the outputs. When doing this, the function will return a dict. Helpful to keep track of which output is what.
         - Warn for unknown or misspelled theano config variables
         - theano.tensor.tile update (accept symbolic reps, work on GPU)
         - scan how have a strict flag. If set to True, this make scan building faster and could make execution faster.
         - theano.tensor.signal.conv2d(2d,2d) output 2d answer
         - More convolution parameter supported
         - Bilinear interpolation of images
        
        
        Speed-ups:
         - Faster SetSubtensor on the GPU.
         - Support more reduction pattern on the GPU.
         - More graph optimization
         - Faster graph optimization
         - GpuCrossentropySoftmaxArgmax1HotWithBias
        
        
        Crash/no return fixes:
         - Fix crash in the assert op grad
         - Fix curand crash on Mac
         - Multiple Fix scan crashes
         - Finish to update all Op.grad() implementation to the new interface
        
        Others:
         - Support ARM processor.
         - Better tests
         - Code clean up.
         - Doc updates
         - doctest and sphinx test in travis
         - More tests tagged as slow
         - Better same_shape implementation
         - More op with c code to lower overhead
         - Custom pickler for SharedVariable theano.misc.pkl_utils.{dump,load}
         - function_dump to help us reproduce user error during compilation
         - assert_no_cpu_op
         - pep8, flake8
         - Better error messages
         - On non-default modes, reduce the number of allocation when allow_gc=False
         - Better lock
        
        
        Committers for this dev version only:
         - Frederic Bastien
         - Arnaud Bergeron
         - Pierre Luc Carrier
         - Iban Harlouchet
         - Pascal Lamblin
         - Chienli Ma
         - Tim Cooijmans
         - Nicolas Ballas
         - Amjad Almahairi
         - David Warde-Farley
         - Christof Angermueller
         - Ziye Fan
         - Caglar
         - Sina Honari
         - Roy Xue
         - hantek
         - Mohammad Pezeshki
         - Melanie Ducoffe
         - Alexandre de Brebisson
         - Harm de Vries
         - Samira Shabanian
         - Alex Lamb
         - Ramana.S
         - Francesco Visin
         - Saizheng Zhang
         - Ying Zhang
         - Jan Schlüter
         - Xavier Bouthillier
         - Bart van Merrienboer
         - Cesar Laurent
         - Iulian Vlad Serban
         - Li Yao
         - Sigurd Spieckermann
         - Dmitrii Serdiuk
         - Kelvin Xu
         - Sebastien Jean
         - Thomas Mesnard
         - Seon-Wook Park
         - Vincent Michalski
         - Dustin Webb
         - Mikhail Korobov
         - Orhan Firat
         - Olivier Mastropietro
         - Daniel Renshaw
         - Julien Rebetez
         - Peng Liu
         - Sean Lee
         - TimSalimans
         - Andre Holzner
         - Gijs van Tulder
         - Guillaume Alain
         - Julien Demouth
         - Markus Beissinger
         - Mehdi Mirza
         - Moslem Kazemi
         - Saxenauts
         - Søren Kaae Sønderby
         - sentient07
         - Anatoly Belikov
         - Diogo Moitinho de Almeida
         - Jakub Sygnowski
         - Kashif Rasul
         - Laurent Dinh
         - Rémy Léone
         - Taesup (TS) Kim
         - gw0 [http://gw.tnode.com/]
         - mronian
         - vesis84
         - Benni
         - Chiheb Trabelsi
         - JesseLivezey
         - Marius Killinger
         - Matt Graham
         - Matthew Willson
         - Piotr Frankowski
         - Stefan Krastanov
         - vdumoulin
         - Adithya Ganesh
         - Anish Shah
         - Balázs Hidasi
         - Colin Raffel
         - Cory Lorenz
         - Doug
         - Jesse Livezey
         - John Salvatier
         - John Zedlewski
         - Jonathan Ho
         - Kaixhin
         - Liang-Chi Hsieh
         - Lucas Beyer
         - Luke Metz
         - Marc-Alexandre Cote
         - Martin Arjovsky
         - Matthias Kümmerer
         - Sirisha Rambhatla
         - briancheung
         - cai-lw
         - ivdorelian
         - jan-matthis
         - jojolalpin
         - joncrall
         - peterjsadowski
         - scottsievert
         - Étienne Simon
         - A. Flaxman
         - AlOa
         - Albert Zeyer
         - Andrea
         - Andy Jiang
         - Balázs
         - Ben Poole
         - Brian Cheung
         - Christophe Van Gysel
         - Claude Coulombe
         - Clay McLeod
         - Dario Garcia
         - Jakob Lombacher
         - Joao Felipe Santos
         - John Arevalo
         - Jonas Degrave
         - Martin Thoma
         - Mathieu Germain
         - Matthew Koichi Grimes
         - Michael Eickenberg
         - Michael Opitz
         - Paul Hollensen
         - Prayag Verma
         - Saatvik Shah
         - Sergei Lebedev
         - Vik Kamath
         - Wei Ouyang
         - Wojciech Głogowski
         - Yi-Lin Juang
         - Yurii Shevchuk
         - Zach Dwiel
         - dan
         - eulerreich
         - jotterbach
         - rolf
         - theaverageguy
         - wuaalb
        
Keywords: theano math numerical symbolic blas numpy gpu autodiff differentiation
Platform: Windows
Platform: Linux
Platform: Solaris
Platform: Mac OS-X
Platform: Unix
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development :: Code Generators
Classifier: Topic :: Software Development :: Compilers
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
