Modifications for the final 0.7 release.

NEWS.txt

@@ -2,15 +2,15 @@
 Release Notes
 =============
 
-Theano 0.7rc2 (13th of March, 2015)
-===================================
+Theano 0.7 (26th of March, 2015)
+================================
 We recommand to everyone to upgrade to this version.
 
 Highlights:
- * Too many bug and crash fixes to count
- * Many new optimizations as well
  * Integration of CuDNN for 2D convolutions and pooling on supported GPUs
- * Better support for GPU on Windows (Jan Chorowski, Nicolas Ballas)
- * On MacOS X, clang is used by default (Arnaud Bergeron)
- * Various fixes and improvement to scan
-
+ * 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

doc/LICENSE.txt

@@ -3,7 +3,7 @@
 LICENSE
 =======
 
-Copyright (c) 2008--2013, Theano Development Team
+Copyright (c) 2008--2015, Theano Development Team
 All rights reserved.
 
 Contains code from NumPy, Copyright (c) 2005-2011, NumPy Developers.

doc/conf.py

@@ -53,7 +53,7 @@ copyright = '2008--2015, LISA lab'
 # The short X.Y version.
 version = '0.7'
 # The full version, including alpha/beta/rc tags.
-release = '0.7rc2'
+release = '0.7'
 
 # There are two options for replacing |today|: either, you set today to some
 # non-false value, then it is used:

doc/install_windows.txt

@@ -359,11 +359,11 @@ Theano. For the bleeding-edge version execute
 
   git clone https://github.com/Theano/Theano.git
 
-For the latest stable release 0.6 (as of Oct 2014) run instead:
+For the latest stable release 0.7 (as of March 2015) run instead:
 
 .. code-block:: bash
 
-  git clone https://github.com/Theano/Theano.git --branch rel-0.6
+  git clone https://github.com/Theano/Theano.git --branch rel-0.7
 
 Either way, a folder `Theano` will be created with the library
 downloaded to it.
@@ -377,11 +377,11 @@ To get the latest bleeding edge version got to `Theano on GitHub
 <https://github.com/Theano/Theano/archive/master.zip>`_. Then unzip it
 somewhere.
 
-Alternatively, you can check the latest release release 0.6 (as of Oct
-2014) by going to
-https://github.com/Theano/Theano/releases/tag/rel-0.6 and
+Alternatively, you can check the latest release release 0.7 (as of March
+2015) by going to
+https://github.com/Theano/Theano/releases/tag/rel-0.7 and
 downloading the `zip
-<https://github.com/Theano/Theano/archive/rel-0.6.zip>`_.
+<https://github.com/Theano/Theano/archive/rel-0.7.zip>`_.
 
 Configuring Theano
 ##################

doc/library/typed_list.txt

@@ -6,7 +6,7 @@
 
 .. note::
 
-    This is not in the released version 0.6.0, but will be in the next release (0.7 or 0.6.1).
+    This has been added in release 0.7.
 
 .. note::
 

setup.py

@@ -66,7 +66,7 @@ PLATFORMS           = ["Windows", "Linux", "Solaris", "Mac OS-X", "Unix"]
 MAJOR               = 0
 MINOR               = 7
 MICRO               = 0
-SUFFIX              = "rc2"  # Should be blank except for rc's, betas, etc.
+SUFFIX              = ""  # Should be blank except for rc's, betas, etc.
 ISRELEASED          = False
 
 VERSION             = '%d.%d.%d%s' % (MAJOR, MINOR, MICRO, SUFFIX)

theano/gradient.py

@@ -659,7 +659,7 @@ def subgraph_grad(wrt, end, start=None, cost=None, details=False):
     :return: Returns lists of gradients with respect to `wrt` and `end`,
             respectively.
 
-    .. versionadded:: 0.6.1
+    .. versionadded:: 0.7
     '''
     assert ((cost is not None) or (start is not None))
     assert isinstance(end, list)
@@ -1905,7 +1905,7 @@ def consider_constant(x):
     :return: The expression is returned unmodified, but its gradient
         is now truncated to 0.
 
-    .. versionadded:: 0.6.1
+    .. versionadded:: 0.7
     """
     warnings.warn((
         "consider_constant() is deprecated, use zero_grad() or "

theano/tensor/extra_ops.py

@@ -128,7 +128,7 @@ def cumsum(x, axis=None):
     :param axis: The axis along which the cumulative sum is computed.
         The default (None) is to compute the cumsum over the flattened array.
 
-    .. versionadded:: 0.6.1
+    .. versionadded:: 0.7
     """
     return CumsumOp(axis=axis)(x)
 
@@ -252,7 +252,7 @@ def cumprod(x, axis=None):
     :param axis: The axis along which the cumulative product is computed.
         The default (None) is to compute the cumprod over the flattened array.
 
-    .. versionadded:: 0.6.1
+    .. versionadded:: 0.7
     """
     return CumprodOp(axis=axis)(x)