Merge pull request #979 from nouiz/0.6rc1

doc/NEWS.txt

@@ -13,7 +13,7 @@ Highlight:
  * Theano vision: http://deeplearning.net/software/theano/introduction.html#theano-vision (Many people)
  * Theano with GPU works in some cases on Windows now. Still experimental. (Sebastian Urban)
  * Faster dot() call: New/Better direct call to cpu and gpu ger, gemv, gemm
-   and dot(vector, vector). (James, Frédéric, Pascal)
+   and dot(vector, vector). (James, Frederic, Pascal)
  * C implementation of Alloc. (James, Pascal)
  * theano.grad() now also work with sparse variable. (Arnaud)
  * Macro to implement the Jacobian/Hessian with theano.tensor.{jacobian,hessian} (Razvan)
@@ -24,7 +24,7 @@ Interface Behavior Changes:
  * The current default value of the parameter axis of
    theano.{max,min,argmax,argmin,max_and_argmax} is now the same as
    numpy: None. i.e. operate on all dimensions of the tensor.
-   (Frédéric Bastien, Olivier Delalleau) (was deprecated and generated
+   (Frederic Bastien, Olivier Delalleau) (was deprecated and generated
    a warning since Theano 0.3 released Nov. 23rd, 2010)
  * The current output dtype of sum with input dtype [u]int* is now always [u]int64.
    You can specify the output dtype with a new dtype parameter to sum.
@@ -209,7 +209,7 @@ Crashes fixed:
  * When the subtensor inputs had 0 dimensions and the outputs 0 dimensions. (Frederic)
  * Crash when the step to subtensor was not 1 in conjunction with some optimization. (Frederic, reported by Olivier Chapelle)
  * Runtime crash related to an optimization with subtensor of alloc (reported by Razvan, fixed by Frederic)
- * Fix dot22scalar cast of integer scalars (Justin Bayer, Frédéric, Olivier)
+ * Fix dot22scalar cast of integer scalars (Justin Bayer, Frederic, Olivier)
  * Fix runtime crash in gemm, dot22. FB
  * Fix on 32bits computer: make sure all shape are int64.(Olivier)
  * Fix to deque on python 2.4 (Olivier)

doc/conf.py

@@ -51,9 +51,9 @@ copyright = '2008--2012, LISA lab'
 # other places throughout the built documents.
 #
 # The short X.Y version.
-version = '0.5'
+version = '0.6'
 # The full version, including alpha/beta/rc tags.
-release = '0.5'
+release = '0.6rc1'
 
 # There are two options for replacing |today|: either, you set today to some
 # non-false value, then it is used:

doc/introduction.txt

@@ -165,11 +165,11 @@ Note: There is no short term plan to support multi-node computation.
 Theano Vision State
 ===================
 
-Here is the state of that vision as of 24 October 2011 (after Theano release
-0.4.1):
+Here is the state of that vision as of 1 October 2012 (after Theano release
+0.6rc1):
 
 * We support tensors using the `numpy.ndarray` object and we support many operations on them.
-* We support sparse types by using the `scipy.{csc,csr}_matrix` object and support some operations on them (more are coming).
+* We support sparse types by using the `scipy.{csc,csr}_matrix` object and support some operations on them.
 * We have started implementing/wrapping more advanced linear algebra operations.
 * We have many graph transformations that cover the 4 categories listed above.
 * We can improve the graph transformation with better storage optimization
@@ -196,16 +196,15 @@ Here is the state of that vision as of 24 October 2011 (after Theano release
   * The profiler used by cvm is less complete than `ProfileMode`.
 
 * SIMD parallelism on the CPU comes from the compiler.
-* Multi-core parallelism is only supported for gemv and gemm, and only
-  if the external BLAS implementation supports it.
+* Multi-core parallelism is only supported Conv2d. If the external BLAS implementation supports it,
+  there is also, gemm, gemv and ger that are parallelized.
 * No multi-node support.
 * Many, but not all NumPy functions/aliases are implemented.
   * http://www.assembla.com/spaces/theano/tickets/781
-* Wrapping an existing Python function in easy, but better documentation of
-  it would make it even easier.
-* We need to find a way to separate the shared variable memory
+* Wrapping an existing Python function in easy and documented.
+* We know how to separate the shared variable memory
   storage location from its object type (tensor, sparse, dtype, broadcast
-  flags).
+  flags), but we need to do it.
 
 
 Contact us

doc/library/config.txt

@@ -310,7 +310,7 @@ import theano and print the config variable, as in:
 
 .. attribute:: config.warn.ignore_bug_before
 
-    String value: 'None', 'all', '0.3', '0.4', '0.4.1', '0.5'
+    String value: 'None', 'all', '0.3', '0.4', '0.4.1', '0.5', '0.6'
 
     Default: 'None'
 

setup.py

@@ -44,9 +44,9 @@ AUTHOR              = "LISA laboratory, University of Montreal"
 AUTHOR_EMAIL        = "theano-dev@googlegroups.com"
 PLATFORMS           = ["Windows", "Linux", "Solaris", "Mac OS-X", "Unix"]
 MAJOR               = 0
-MINOR               = 5
+MINOR               = 6
 MICRO               = 0
-SUFFIX              = ""  # Should be blank except for rc's, betas, etc.
+SUFFIX              = "rc1"  # Should be blank except for rc's, betas, etc.
 ISRELEASED          = False
 
 VERSION             = '%d.%d.%d%s' % (MAJOR, MINOR, MICRO, SUFFIX)