2010-10-22 Theano 0.3
---------------------

This is the first major release of Theano since 0.1. Version 0.2 development
started internally but it was never advertised as a release.

There have been so many changes since 0.1 that we have lost track of many of
them. Below is a *partial* list of changes since 0.1.

 * GPU code using NVIDIA's CUDA framework is no now generated for many Ops.
 * Some interface changes since 0.1:
     * A new "shared variable" system to allow reusing memory space between
       Theano functions.
         * A new memory contract has been formally written for Theano,
           for people that want to minimize memory copies.
     * The old module system has been deprecated.
     * By default, inputs to a Theano function will not be silently
       downcast (e.g. from float64 to float32).
     * An error is now raised when using the result of logical operation on
       Theano variable in an 'if' (i.e. an implicit call to __nonzeros__)
     * An error is now raised when we receive a non-aligned ndarray as
       input to a function (this is not supported).
     * An error is raised when the list of dimensions passed to
       dimshuffle() contains duplicates or is otherwise not sensible.
     * Call NumPy BLAS bindings for gemv operations in addition to the
       already supported gemm.
     * If gcc is unavailable at import time, Theano now falls back to a
       Python-based emulation mode after raising a warning.
     * An error is now raised when tensor.grad is called on a non-scalar
       Theano variable (in the past we would implicitly do a sum on the
       tensor to make it a scalar).
     * Added support for "erf" and "erfc" functions.
 * The current default value of the parameter axis of theano.{max,min,
   argmax,argmin,max_and_argmax} is deprecated, with the NumPy defaults
   (operation over the entire tensor) instead.
 * Theano is now available from PyPI and installable by "easy_install" or
   "pip" tools.
