Typo fixes (mostly: enought -> enough)

doc/tutorial/using_gpu.txt

@@ -232,7 +232,7 @@ Tips for improving performance on GPU
   taking more time than its share, then if you know something about GPU
   programming have a look at how it's implemented in theano.sandbox.cuda.
   Check the line like 'Spent Xs(X%) in cpu Op, Xs(X%) in gpu Op and Xs(X%) transfert Op'
-  that can tell you if not enought of your graph is on the gpu or if their
+  that can tell you if not enough of your graph is on the gpu or if their
   is too much memory transfert.
 
 

theano/sandbox/cuda/tests/test_basic_ops.py

@@ -64,7 +64,7 @@ def test_sum():
                            ((5,4,3,10,11),[1,2]),
                            ((5,4,3,20),[2,3]), ((5,4,3,2),[0,1,2,3]), ((5,4,3,2),[0,2,3]),((5,4,3,2),[1,2,3]),
 
-                           #test shape bigger then 4096 on each dimension to make sure that we work correctly when we don't have enought thread/block in each dimensions
+                           #test shape bigger then 4096 on each dimension to make sure that we work correctly when we don't have enough thread/block in each dimensions
                            ((4100,3),[0]),((3,4101),[0]),#10
                            ((1024,33),[0]),((33,1024),[0]),#10
                            ((1025,33),[0]),((33,1025),[0]),#10
@@ -880,7 +880,7 @@ class T_subtensor(theano.tensor.tests.test_basic.T_subtensor):
                                  ((4, 4, 2, 3), [3, 3, 1, 1, 2, 2, 0, 0,
                                                  -1, -2, -3, -4], False),
                              ]:
-            # If there is not enought memory on the GPU, skip the test
+            # If there is not enough memory on the GPU, skip the test
             size_needed = numpy.prod(shape) * (4 + 1)
             if isinstance(theano.compile.get_default_mode(),
                           theano.compile.DebugMode):

theano/sandbox/cuda/tests/test_blas.py

@@ -310,7 +310,7 @@ def test_downsample():
 
                 # The grad is too slow on GT220 GPU
                 # This cause the computer to freeze...
-                # Remove this when it get optimized enought
+                # Remove this when it gets optimized enough
                 # This only bypass the last 2 checks
                 # Those tests where passing in all Mode on a GTX470
                 if shp[0] > 30000 or shp[1] > 30000:

theano/sandbox/cuda/tests/test_nnet.py

@@ -46,7 +46,7 @@ def test_GpuCrossentropySoftmaxArgmax1HotWithBias():
     #we precompute the dot with big shape before to allow the test of
     #GpuCrossentropySoftmax1HotWithBiasDx to don't fail with the error
     #(the launch timed out and was terminated) on GPU card not
-    #powerfull enought. We need the big shape to check for corner
+    #powerful enough. We need the big shape to check for corner
     #case.
     dot_result = T.fmatrix('dot_result')