Update libgpuarray version required for stable installation (now v0.6.1)

doc/install_generic.inc

@@ -31,7 +31,7 @@ libgpuarray
 ^^^^^^^^^^^
 
 For the stable version of Theano you need a specific version of libgpuarray,
-that has been tagged ``v0.6.0``.
+that has been tagged ``v0.6.1``.
 Download it with:
 
 .. raw:: html
@@ -39,7 +39,7 @@ Download it with:
     <div class='highlight'><pre>
     git clone https://github.com/Theano/libgpuarray.git
     cd libgpuarray
-    git checkout tags/v0.6.0 -b v0.6.0
+    git checkout tags/v0.6.1 -b v0.6.1
     </pre></div>
 
 and then follow the `Step-by-step instructions <http://deeplearning.net/software/libgpuarray/installation.html#step-by-step-install>`__.

doc/install_windows.txt

@@ -24,7 +24,7 @@ Install requirements and optional packages
 .. note::
 
     * Arguments between <...> are optional.
-    * ``m2w64-toolchain`` package provides a fully-compatible version of GCC and is then highly-recommended.
+    * ``m2w64-toolchain`` package provides a fully-compatible version of GCC and is then highly recommended.
 
 For Python 2*
 :::::::::::::
@@ -123,4 +123,3 @@ a working environment:
     * Install CUDA with the same instructions as above.
     * Install the latest, development version of libgpuarray following the
       `Step-by-step instructions <http://deeplearning.net/software/libgpuarray/installation.html#step-by-step-install>`__.
-    * Configure libgpuarray with the same instructions as above.

doc/requirements.inc

@@ -47,7 +47,7 @@ Requirements
         **Highly recommended** Required for GPU code generation/execution on NVIDIA gpus. See instruction below.
 
     `libgpuarray`_
-        Required for GPU/CPU code generation on CUDA and OpenCL devices (see: :ref:`gpuarray`.)
+        Required for GPU/CPU code generation on CUDA and OpenCL devices (see: :ref:`gpuarray`).
 
     `pycuda`_ and `skcuda`_