Theano 0.9.0rc3

Graph clean up and faster compilation

New Theano flag conv.assert_shape to check user-provided shapes at runtime (for debugging)

Fix overflow in pooling

Warn if taking softmax over broadcastable dimension

Removed old files not used anymore

Test fixes and crash fixes

New GPU back-end:

• Removed warp-synchronous programming, to get good results with newer CUDA drivers

Frederic Bastien

Arnaud Bergeron

Pascal Lamblin

Florian Bordes

Jan Schlüter

Fixed dnn conv grad issues

Allowed pooling of empty batch

Use of 64-bit indexing in sparse ops to allow matrix with more then 2³¹-1 elements.

Removed old benchmark directory

Crash fixes, bug fixes, warnings improvements, and documentation update

Frederic Bastien

Pascal Lamblin

Steven Bocco

Simon Lefrancois

Lucas Beyer

Michael Harradon

Rebecca N. Palmer

David Bau

Micah Bojrab

Better integration of Theano+libgpuarray packages into conda distribution

Better handling of Windows end-lines into C codes

Better compatibility with NumPy 1.12

Faster scan optimizations

Fixed broadcast checking in scan

Bug fixes related to merge optimizer and shape inference

many other bug fixes and improvements

Updated documentation

New GPU back-end:

• Value of a shared variable is now set inplace

In MRG, replaced method multinomial_wo_replacement() with new method choice()

Implement conv2d_transpose convenience function

GPUMultinomialFromUniform op now supports multiple dtypes

OpFromGraph now allows gradient overriding for every input

Added Abstract Ops for batch normalization that use cuDNN when available and pure Theano CPU/GPU alternatives otherwise

Added new Theano flag cuda.enabled

Added new Theano flag print_global_stats to print some global statistics (time spent) at the end

Split op now has C code for CPU and GPU

“theano-cache list” now includes compilation times

Frederic Bastien

Benjamin Scellier

khaotik

Steven Bocco

Arnaud Bergeron

Pascal Lamblin

Gijs van Tulder

Reyhane Askari

Chinnadhurai Sankar

Vincent Dumoulin

Alexander Matyasko

Cesar Laurent

Nicolas Ballas

affanv14

Faruk Ahmed

Anton Chechetka

Alexandre de Brebisson

Amjad Almahairi

Dimitar Dimitrov

Fuchai

Jan Schlüter

Jonas Degrave

Mathieu Germain

Rebecca N. Palmer

Simon Lefrancois

valtron

Many computation and compilation speed up

More numerical stability by default for some graph

Jenkins (gpu tests run on PR in addition to daily buildbot)

Better handling of corner cases for theano functions and graph optimizations

More graph optimization (faster execution and smaller graph, so more readable)

Less c code compilation

Better Python 3.5 support

Better numpy 1.12 support

Support newer Mac and Windows version

Conda packages for Mac, Linux and Windows

Theano scripts now works on Windows

scan with checkpoint (trade off between speed and memory usage, useful for long sequences)

Added a bool dtype

New GPU back-end:

• float16 storage

• better mapping between theano device number and nvidia-smi number, using the PCI bus ID of graphic cards

• More pooling support on GPU when cuDNN isn’t there

• ignore_border=False is now implemented for pooling

New pooling interface

Pooling parameters can change at run time

When converting empty list/tuple, now we use floatX dtype

The MRG random generator now try to infer the broadcast pattern of its output

Move softsign out of sandbox to theano.tensor.nnet.softsign

Roll make the shift be modulo the size of the axis we roll on

Merge CumsumOp/CumprodOp into CumOp

round() default to the same as NumPy: half_to_even

Multi-cores convolution and pooling on CPU

New abstract 3d convolution interface similar to the 2d convolution interface

Dilated convolution

cuDNN: support versoin 5.1 and wrap batch normalization (2d and 3d) and RNN functions

Multiple-GPU, synchrone update (via platoon, use NCCL)

GpuAdvancedSubtensor in new back-end

Gemv(matrix-vector product) speed up for special shape

Support for MaxAndArgMax for some axis combination

Support for solve (using cusolver), erfinv and erfcinv

cublas gemv workaround when we reduce on an axis with a dimensions size of 0

Warn user that some cuDNN algorithms may produce unexpected results in certain environments for convolution backward filter operations

Add gradient of solve, tensorinv (CPU), tensorsolve (CPU) searchsorted (CPU)

Add Multinomial Without Replacement

conv3d2d support full and half mode (REMOVE?)

Add DownsampleFactorMaxGradGrad.grad

Allow partial evaluation of compiled function

More Rop support

Indexing support ellipsis: a[…, 3], a[1,…,3]

Added theano.tensor.{tensor5,dtensor5, …}

compiledir_format support device

Added new Theano flag cmodule.age_thresh_use

Speed up argmax only on gpu (without also needing the max)

A few unfrequent bugfix

More stack trace in error message

Speed up cholesky grad

log(sum(exp(…))) now get stability optimized

Allow more then one output to be an destructive inplace

Add flag profiling.ignore_first_call, useful to profile the new gpu back-end

Doc/error message fixes/updates

More support of negative axis

Added the keepdims parameter to the norm function

Crash fixes

Make scan gradient more deterministic

Add support for space in path on Windows

remove ProfileMode (use Theano flag profile=True instead)

Frederic Bastien

Arnaud Bergeron

Pascal Lamblin

Ramana Subramanyam

Simon Lefrancois

Steven Bocco

Gijs van Tulder

Cesar Laurent

Chiheb Trabelsi

Chinnadhurai Sankar

Mohammad Pezeshki

Reyhane Askari

Alexander Matyasko

Alexandre de Brebisson

Nan Rosemary Ke

Pierre Luc Carrier

Mathieu Germain

Olivier Mastropietro

khaotik

Saizheng Zhang

Thomas George

Iulian Vlad Serban

Benjamin Scellier

Francesco Visin

Caglar

Harm de Vries

Samira Shabanian

Jakub Sygnowski

Samira Ebrahimi Kahou

Mikhail Korobov

Faruk Ahmed

Fei Wang

Jan Schlüter

Kv Manohar

Jesse Livezey

Kelvin Xu

Matt Graham

Ruslana Makovetsky

Sina Honari

Bryn Keller

Ciyong Chen

Nicolas Ballas

Vitaliy Kurlin

Zhouhan LIN

Gokula Krishnan

Kumar Krishna Agrawal

Ozan Çağlayan

Vincent Michalski

Ray Donnelly

Tim Cooijmans

Vincent Dumoulin

happygds

mockingjamie

Amjad Almahairi

Christos Tsirigotis

Ilya Kulikov

RadhikaG

Taesup (TS) Kim

Ying Zhang

Karthik Karanth

Kirill Bobyrev

Yang Zhang

Yaroslav Ganin

Liwei Cai

Morgan Stuart

Tim Gasper

Xavier Bouthillier

p

texot

Andrés Gottlieb

Ben Poole

Bhavishya Pohani

Carl Thomé

Evelyn Mitchell

Fei Zhan

Fábio Perez

Gennadiy Tupitsin

Gilles Louppe

Greg Ciccarelli

He

Huan Zhang

Jonas Degrave

Kaixhin

Kevin Keraudren

Maltimore

Marc-Alexandre Cote

Marco

Marius F. Killinger

Maxim Kochurov

Neil

Nizar Assaf

Rithesh Kumar

Rizky Luthfianto

Robin Millette

Roman Ring

Sander Dieleman

Sebastin Santy

Shawn Tan

Wazeer Zulfikar

Wojciech Głogowski

Yann N. Dauphin

gw0 [http://gw.tnode.com/]

hexahedria

hsintone

jakirkham

joncrall

root

superantichrist

tillahoffmann

wazeerzulfikar

you-n-g