Fixed some typos

NEWS.txt

@@ -29,7 +29,7 @@ New Features
    (Frederic B.)
  * debugprint does not print anymore the "|" symbol in a column after the last input. (Frederic B.)
  * If you use Enthought Python Distribution (EPD) now we use its blas
-   implementation by default (Tested Linux, Windows)
+   implementation by default (tested on Linux and Windows)
    (Frederic B., Simon McGregor)
 
 Sparse Sandbox graduate
@@ -55,10 +55,10 @@ Crash Fix
  * Optimization printed a useless error when scipy was not available. (Frederic B.)
  * GPU conv crash/slowdown on newer hardware (James B.)
  * Better error handling in GPU conv (Frederic B.)
- * GPU optimization that move element-wise op to the gpu. It happen in
+ * GPU optimization that moves element-wise Ops to the GPU. Crash happened in
    a particular execution order of this optimization and the
    element-wise fusion optimization when upcasting some inputs to
-   float32 (to compute them on the gpu).
+   float32 (to compute them on the GPU).
    (Frederic B., reported by Sander Dieleman)
 
 =============

theano/sandbox/cuda/tests/test_opt.py

@@ -243,8 +243,7 @@ def test_huge_elemwise_fusion():
 
 def test_local_gpu_elemwise_0():
     """
-    Test the test_local_gpu_elemwise_0 when there is dtype upcastable
-    to float32
+    Test local_gpu_elemwise_0 when there is a dtype upcastable to float32
     """
     a = tensor.bmatrix()
     b = tensor.fmatrix()
@@ -254,7 +253,7 @@ def test_local_gpu_elemwise_0():
     b_v = (numpy.random.rand(4, 5) * 10).astype("float32")
     c_v = (numpy.random.rand(4, 5) * 10).astype("float32")
 
-    # Due to order of optimization, this the composite is created when all
+    # Due to optimization order, this composite is created when all
     # the op are on the gpu.
     f = theano.function([a, b, c], [a + b + c], mode=mode_with_gpu)
     #theano.printing.debugprint(f)
@@ -263,7 +262,7 @@ def test_local_gpu_elemwise_0():
     assert sum(isinstance(node.op, tensor.Elemwise) for node in topo) == 1
     f(a_v, b_v, c_v)
 
-    # Not test with the composite already on the cpu before we move it
+    # Now test with the composite already on the cpu before we move it
     # to the gpu
     a_s = theano.scalar.int8()
     b_s = theano.scalar.float32()