Update the documentation on gpuarray.sched

doc/library/config.txt

@@ -482,7 +482,7 @@ import theano and print the config variable, as in:
 
     The sched parameter passed for context creation to pygpu.  With
     CUDA, using "multi" mean using the parameter
-    cudaDeviceScheduleYield. This is useful to lower the CPU overhead
+    cudaDeviceScheduleBlockingSync. This is useful to lower the CPU overhead
     when waiting for GPU. One user found that it speeds up his other
     processes that was doing data augmentation.
 

theano/configdefaults.py

@@ -222,7 +222,7 @@ AddConfigVar('gpuarray.preallocate',
 AddConfigVar('gpuarray.sched',
              """The sched parameter passed for context creation to pygpu.
                 With CUDA, using "multi" is equivalent to using the parameter
-                cudaDeviceScheduleYield. This is useful to lower the
+                cudaDeviceScheduleBlockingSync. This is useful to lower the
                 CPU overhead when waiting for GPU. One user found that it
                 speeds up his other processes that was doing data augmentation.
              """,