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Theano 0.8.2

Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.

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).

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

 
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