Theano-1.0.5.tar.gz

.. _HISTORY: ================= Old Release Notes ================= Theano 1.0.4 (16th of January 2019) ===================================== This is a maintenance release of Theano, version ``1.0.4``, with no new features, but some important bug fixes. We recommend that everybody update to this version. Highlights (since 1.0.3): - Theano is now compatible with NumPy 1.16. A total of 10 people contributed to this release since ``1.0.3``: - wonghang - Frederic Bastien - Arnaud Bergeron - Duc Nguyen - Andrew Nelson - Björn Linse - Luis Mario Domenzain - Rebecca N. Palmer - Luciano Paz - Dan Foreman-Mackey Theano 1.0.3 (20th of September 2018) ===================================== This is a maintenance release of Theano, version ``1.0.3``, with no new features, but some important bug fixes. We recommend that everybody update to this version. Highlights (since 1.0.2): - Theano is now compatible with Python 3.7 - Broadcasting for sparse dot products works correctly - Subtensor grads do not return int anymore A total of 5 people contributed to this release since ``1.0.2``: - Frederic Bastien - Arnaud Bergeron - Dmitry Mottl - Adrian Seyboldt - Thomas Wiecki Theano 1.0.2 (23rd of May, 2018) ==================================== This is a maintenance release of Theano, version ``1.0.2``, with no new features, but some important bug fixes. We recommend that everybody update to this version. Highlights (since 1.0.1): - Theano should work under PyPy now (this is experimental). - Update for cuDNN 7.1 RNN API changes. - Fix for a crash related to mixed dtypes with cuDNN convolutions. - MAGMA should work in more cases without manual config. - Handle reductions with non-default accumulator dtype better on the GPU. - Improvements to the test suite so that it fails less often due to random chance. A total of 6 people contributed to this release since ``1.0.1``: - Frederic Bastien - Steven Bocco - Jon Haygood - Arnaud Bergeron - Jordan Melendez - Desiree Vogt-Lee - Garming Sam - Pascal Lamblin - Vincent Dumoulin - Glexin - Simon Lefrancois Theano 1.0.1 (6th of December, 2017) ==================================== This is a maintenance release of Theano, version ``1.0.1``, with no new features, but some important bug fixes. We recommend that everybody update to this version. Highlights (since 1.0.0): - Fixed compilation and improved float16 support for topK on GPU - **NB**: topK support on GPU is experimental and may not work for large input sizes on certain GPUs - Fixed cuDNN reductions when axes to reduce have size ``1`` - Attempted to prevent re-initialization of the GPU in a child process - Fixed support for temporary paths with spaces in Theano initialization - Spell check pass on the documentation A total of 6 people contributed to this release since ``1.0.0``: - Frederic Bastien - Steven Bocco - Arnaud Bergeron - Sam Johnson - Edward Betts - Simon Lefrancois Theano 1.0.0 (15th of November, 2017) ===================================== This is a final release of Theano, version ``1.0.0``, with a lot of new features, interface changes, improvements and bug fixes. We recommend that everybody update to this version. Highlights (since 0.9.0): - Announcing that `MILA will stop developing Theano <https://groups.google.com/d/msg/theano-users/7Poq8BZutbY/rNCIfvAEAwAJ>`_ - conda packages now available and updated in our own conda channel ``mila-udem`` To install it: ``conda install -c mila-udem theano pygpu`` - Support NumPy ``1.13`` - Support pygpu ``0.7`` - Moved Python ``3.*`` minimum supported version from ``3.3`` to ``3.4`` - Added conda recipe - Replaced deprecated package ``nose-parameterized`` with up-to-date package ``parameterized`` for Theano requirements - Theano now internally uses ``sha256`` instead of ``md5`` to work on systems that forbid ``md5`` for security reason - Removed old GPU backend ``theano.sandbox.cuda``. New backend ``theano.gpuarray`` is now the official GPU backend - Make sure MKL uses GNU OpenMP - **NB**: Matrix dot product (``gemm``) with ``mkl`` from conda could return wrong results in some cases. We have reported the problem upstream and we have a work around that raises an error with information about how to fix it. - Improved elemwise operations - Speed-up elemwise ops based on SciPy - Fixed memory leaks related to elemwise ops on GPU - Scan improvements - Speed up Theano scan compilation and gradient computation - Added meaningful message when missing inputs to scan - Speed up graph toposort algorithm - Faster C compilation by massively using a new interface for op params - Faster optimization step, with new optional destroy handler - Documentation updated and more complete - Added documentation for RNNBlock - Updated ``conv`` documentation - Support more debuggers for ``PdbBreakpoint`` - Many bug fixes, crash fixes and warning improvements A total of 71 people contributed to this release since 0.9.0, see list below. Interface changes: - Merged duplicated diagonal functions into two ops: ``ExtractDiag`` (extract a diagonal to a vector), and ``AllocDiag`` (set a vector as a diagonal of an empty array) - Removed op ``ExtractDiag`` from ``theano.tensor.nlinalg``, now only in ``theano.tensor.basic`` - Generalized ``AllocDiag`` for any non-scalar input - Added new parameter ``target`` for MRG functions - Renamed ``MultinomialWOReplacementFromUniform`` to ``ChoiceFromUniform`` - Changed ``grad()`` method to ``L_op()`` in ops that need the outputs to compute gradient - Removed or deprecated Theano flags: - ``cublas.lib`` - ``cuda.enabled`` - ``enable_initial_driver_test`` - ``gpuarray.sync`` - ``home`` - ``lib.cnmem`` - ``nvcc.*`` flags - ``pycuda.init`` Convolution updates: - Implemented separable convolutions for 2D and 3D - Implemented grouped convolutions for 2D and 3D - Added dilated causal convolutions for 2D - Added unshared convolutions - Implemented fractional bilinear upsampling - Removed old ``conv3d`` interface - Deprecated old ``conv2d`` interface GPU: - Added a meta-optimizer to select the fastest GPU implementations for convolutions - Prevent GPU initialization when not required - Added disk caching option for kernels - Added method ``my_theano_function.sync_shared()`` to help synchronize GPU Theano functions - Added useful stats for GPU in profile mode - Added Cholesky op based on ``cusolver`` backend - Added GPU ops based on `magma library <http://icl.cs.utk.edu/magma/software/>`_: SVD, matrix inverse, QR, cholesky and eigh - Added ``GpuCublasTriangularSolve`` - Added atomic addition and exchange for ``long long`` values in ``GpuAdvancedIncSubtensor1_dev20`` - Support log gamma function for all non-complex types - Support GPU SoftMax in both OpenCL and CUDA - Support offset parameter ``k`` for ``GpuEye`` - ``CrossentropyCategorical1Hot`` and its gradient are now lifted to GPU - cuDNN: - Official support for ``v6.*`` and ``v7.*`` - Added spatial transformation operation based on cuDNN - Updated and improved caching system for runtime-chosen cuDNN convolution algorithms - Support cuDNN v7 tensor core operations for convolutions with runtime timed algorithms - Better support and loading on Windows and Mac - Support cuDNN v6 dilated convolutions - Support cuDNN v6 reductions for contiguous inputs - Optimized ``SUM(x^2)``, ``SUM(ABS(X))`` and ``MAX(ABS(X))`` operations with cuDNN reductions - Added new Theano flags ``cuda.include_path``, ``dnn.base_path`` and ``dnn.bin_path`` to help configure Theano when CUDA and cuDNN can not be found automatically - Extended Theano flag ``dnn.enabled`` with new option ``no_check`` to help speed up cuDNN importation - Disallowed ``float16`` precision for convolution gradients - Fixed memory alignment detection - Added profiling