DOC: spelling fixes.

theano/sandbox/cuda/opt.py

@@ -943,17 +943,17 @@ def get_device_type_sizes():
 
 def max_inputs_to_GpuElemwise(node):
     """
-    return the maximum number of input this GpuElemwise Apply node can
+    return the maximum number of inputs this GpuElemwise Apply node can
     accept.
 
-    This is needed as currently their is a limit of 256 bytes of
-    paramter for the gpu function on device of compute capability
-    1.x. There is a 4k bytes limit on device compute capability
+    This is needed as currently there is a limit of 256 bytes of
+    parameter for the gpu function on devices with compute capability
+    1.x. There is a 4 kbyte limit on devices with compute capability
     2.x (not used).
 
-    This mesure the number of paramter we put in our gpu function and
-    compute the maximum number of inputs that respect the 256 bytes
-    limits.
+    This measures the number of parameters we put in our GPU function and
+    computes the maximum number of inputs that respect the 256 byte
+    limit.
     """
     type_sizes = get_device_type_sizes()
     int_size = type_sizes['int_size']
@@ -970,8 +970,8 @@ def max_inputs_to_GpuElemwise(node):
     nb_bytes_per_inputs = (ndim*int_size) + gpu_ptr_size
     max_nb_inputs = nb_bytes_avail // nb_bytes_per_inputs
 
-    # There is a case this don't algo don't work. Is this related to
-    # the order of paramter to the gpu function?
+    # There is a case this don't algorithm doesn't work. Is this related to
+    # the order of the parameters to the gpu function?
     if node.inputs[0].type.ndim==1 and max_nb_inputs>14:
         return 14
     return max_nb_inputs