python-theano 0.8.2-6 / usr / lib / python2.7 / dist-packages / Theano-0.8.2.egg-info / PKG-INFO

Metadata-Version: 1.1
Name: Theano
Version: 0.8.2
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.
        
        Highlight:
        - cuDNN v5 convolution support (cuDNN v3 isn't supported anymore)
        - A few crash fix
        
        Theano 0.8.1 (29th of March, 2016)
        ==================================
        
        This is a point release without any new features.
        If you experienced compilation issues on MacOS X with XCode 7.3, we
        encourage you to update.
        
        Highlight:
        - Fix compilation on Mac with CLT 7.3
        
        
        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 :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4