Theano-0.8.1.tar.gz

.. _HISTORY: ================= Old Release Notes ================= Theano 0.7 (26th of March, 2015) ================================ We recommand to everyone to upgrade to this version. Highlights: * Integration of CuDNN for 2D convolutions and pooling on supported GPUs * Too many optimizations and new features to count * Various fixes and improvements to scan * Better support for GPU on Windows * On Mac OS X, clang is used by default * Many crash fixes * Some bug fixes as well Theano 0.6 (December 3th, 2013) =================================== We recommend that everybody update to this version. Highlights (since 0.6rc5): * Last release with support for Python 2.4 and 2.5. * We will try to release more frequently. * Fix crash/installation problems. * Use less memory for conv3d2d. 0.6rc4 skipped for a technical reason. Highlights (since 0.6rc3): * Python 3.3 compatibility with buildbot test for it. * Full advanced indexing support. * Better Windows 64 bit support. * New profiler. * Better error messages that help debugging. * Better support for newer NumPy versions (remove useless warning/crash). * Faster optimization/compilation for big graph. * Move in Theano the Conv3d2d implementation. * Better SymPy/Theano bridge: Make an Theano op from SymPy expression and use SymPy c code generator. * Bug fixes. Change from 0.6rc5: * Fix crash when specifing march in cxxflags Theano flag. (Frederic B., reported by FiReTiTi) * code cleanup (Jorg Bornschein) * Fix Canopy installation on windows when it was installed for all users: Raingo * Fix Theano tests due to a scipy change. (Frederic B.) * Work around bug introduced in scipy dev 0.14. (Frederic B.) * Fix Theano tests following bugfix in SciPy. (Frederic B., reported by Ziyuan Lin) * Add Theano flag cublas.lib (Misha Denil) * Make conv3d2d work more inplace (so less memory usage) (Frederic B., repoted by Jean-Philippe Ouellet) Committers since 0.5: Frederic Bastien Pascal Lamblin Ian Goodfellow Olivier Delalleau Razvan Pascanu abalkin Arnaud Bergeron Nicolas Bouchard + Jeremiah Lowin + Matthew Rocklin Eric Larsen + James Bergstra David Warde-Farley John Salvatier + Vivek Kulkarni + Yann N. Dauphin Ludwig Schmidt-Hackenberg + Gabe Schwartz + Rami Al-Rfou' + Guillaume Desjardins Caglar + Sigurd Spieckermann + Steven Pigeon + Bogdan Budescu + Jey Kottalam + Mehdi Mirza + Alexander Belopolsky + Ethan Buchman + Jason Yosinski Nicolas Pinto + Sina Honari + Ben McCann + Graham Taylor Hani Almousli Ilya Dyachenko + Jan Schlüter + Jorg Bornschein + Micky Latowicki + Yaroslav Halchenko + Eric Hunsberger + Amir Elaguizy + Hannes Schulz + Huy Nguyen + Ilan Schnell + Li Yao Misha Denil + Robert Kern + Sebastian Berg + Vincent Dumoulin + Wei Li + XterNalz + A total of 51 people contributed to this release. People with a "+" by their names contributed a patch for the first time. Theano 0.6rc5 (November 25th, 2013) =================================== We recommend that everybody update to this version. We plan to release 0.6 in one week if there is no problem introduced with this release candidate. Theano 0.6rc4 was skipped due to a problem with pypi Highlights: * Python 3.3 compatibility with buildbot test for it. * Full advanced indexing support. * Better Windows 64 bit support. * New profiler. * Better error messages that help debugging. * Better support for newer NumPy versions (remove useless warning/crash). * Faster optimization/compilation for big graph. * Move in Theano the Conv3d2d implementation. * Better SymPy/Theano bridge: Make an Theano op from SymPy expression and use SymPy c code generator. * Bug fixes. Committers for this rc5 only: Frederic Bastien Pascal Lamblin Arnaud Bergeron abalkin Olivier Delalleau John Salvatier Razvan Pascanu Jeremiah Lowin Ludwig Schmidt-Hackenberg + Vivek Kulkarni Matthew Rocklin Gabe Schwartz James Bergstra Sigurd Spieckermann + Bogdan Budescu + Mehdi Mirza + Nicolas Bouchard Ethan Buchman + Guillaume Desjardins Ian Goodfellow Jason Yosinski Sina Honari + Ben McCann + David Warde-Farley Ilya Dyachenko + Jan Schluter + Micky Latowicki + Yaroslav Halchenko + Alexander Belopolsky Hannes Schulz + Huy Nguyen + Robert Kern + Sebastian Berg + Vincent Dumoulin + Wei Li + XterNalz + A total of 36 people contributed to this release. People with a "+" by their names contributed a patch for the first time. Installation: * Canopy support (direct link to MKL): * On Linux and Mac OSX (Frederic B., Robert Kern) * On Windows (Edward Shi, Frederic B.) * Anaconda instructions (Pascal L., Frederic B.) * Doc Ubuntu 13.04 (Frederic B.) * Better support of newer NumPy version(remove useless warning/crash) (Frederic B., Huy Nguyen) Bug fixes: * Scan: if a scan node was cloned (by theano.clone) with different inputs, and if both the initial and the cloned nodes are used in the function being compiled, the value of the outputs of one would be replaced with the outputs of the other one. (Pascal L.) * Sparse: Disable the optimization that introduce the CSMGradC op as it doesn't work correctly with unsorted indices. (Frederic B.) * Mac: Fix wrong result of GpuDownsampleFactorMaxGrad on Mac OSX. (Pascal L.) * Mac: Auto-Detect and work around a bug in BLAS on MacOS X (Pascal L.) * Mac: Work around bug in MacOS X. If 2 compiled modules had the same name, the OS or Python was not always the right one even when we used the right handle to it. (Pascal L.) Use this hash in the Python module, and in %(nodename)s, so that different helper functions in the support code for different Ops will always have different names. * Sparse grad: Fix ConstructSparseFromList.infer_shape (Pascal L., reported by Rami Al-Rfou') * (introduced in the development version after 0.6rc3 release) (Frederic B.) Reduction that upcasts the input on no axis (ex: call theano.sum() on a scalar when the original dtype isn't float64 or [u]int64). It produced bad results as we did not upcasted the inputs in the code, we just copy them. * Fix some cases of theano.clone() when we get a replacement of x that is a function of x. (Razvan P., reported by Akio Takano) * Fix grad of Alloc when we unbroadcast the value and it isn't a scalar. (Frederic B., reported Ian G.) * In some cases (I think most cases), there was an exception raised in the theano.tensor.grad() method. But in theory, there could be bad shapes produced in the unbroadcasted dimensions. Interface Deprecation (a warning is printed): * The mode ProfileMode is now deprecated, use the Theano flag profile=True to replace it. * New theano.sparse_grad() interface to get the sparse grad of a_tensor[an_int_vector]. (Frederic B.) This can speed up the sparse computations when a small fraction of a_tensor is taken. Deprecate the old interface for this. (Frederic B.) Interface Changes: * Interface change subtensor and take are not in tensor.basic anymore. They were available from tensor.* and are still available from there. (Frederic B., Matthew Rocklin) * This lowers the basic.py size to 191k, so under 200k for github search. * Add -m32 or -m64 in the module cache key and add the python bitwidth in the compiledir path. (Pascal L.) * mrg.normal now has the parameter size mandatory. It was crashing with the default value of None. (Olivier D.) * Remove the deprecated passing of multiple modes to theano function. (Frederic B.) * Change FunctionGraph Features interface of the {on_prune(),on_import()} call back to take a reason. (Frederic B.) * FunctionGraph now clone the input graph by default. (Frederic B.) * Added a parameter to optionally not do this cloning. * This was needed to speed up compilation New Interface (reuses existing functionality): * Add hostname as a var in compiledir_format (Frederic B.) * Add a new Theano flag: compute_test_value_opt. It takes the same values as compute_test_value. It enables compute_test_value during Theano optimization. Only useful to