small comment/err message fixes.

theano/sandbox/cuda/cuda_ndarray.cu

@@ -2395,14 +2395,14 @@ CudaNdarray_set_strides(CudaNdarray *self, PyObject *value, void *closure)
     if (PyTuple_Check(value)){
         if (PyTuple_Size(value) != CudaNdarray_NDIM(self)){
             PyErr_SetString(PyExc_ValueError,
-                            "The new strides tuple must have the same lenght"
+                            "The new strides tuple must have the same length"
                             " as the number of dimensions");
             return -1;
         }
     }else if (PyList_Check(value)){
         if (PyList_Size(value) != CudaNdarray_NDIM(self)){
             PyErr_SetString(PyExc_ValueError,
-                            "The new strides tuple must have the same lenght"
+                            "The new strides list must have the same length"
                             " as the number of dimensions");
             return -1;
         }

theano/sandbox/cuda/opt.py

@@ -289,7 +289,7 @@ def local_gpu_dimshuffle_0(node):
 def local_gpu_specifyShape_0(node):
     """
     specify_shape(host_from_gpu()) -> host_from_gpu(specify_shape)
-    gpu_from_host(specify_shape) -> specifyshape(gpu_from_host)
+    gpu_from_host(specify_shape) -> specify_shape(gpu_from_host)
     """
     if isinstance(node.op, tensor.SpecifyShape):
         input = node.inputs[0]
@@ -1443,7 +1443,7 @@ def tensor_to_cuda(x):
 def local_gpu_extract_diagonal(node):
     """
     extract_diagonal(host_from_gpu()) -> host_from_gpu(extract_diagonal)
-    gpu_from_host(extract_diagonal) -> specifyshape(gpu_from_host)
+    gpu_from_host(extract_diagonal) -> extract_diagonal(gpu_from_host)
     """
     from theano.sandbox import linalg
     if (isinstance(node.op, linalg.ops.ExtractDiag) and