Use new attributes of config

theano/sandbox/cuda/basic_ops.py

@@ -78,7 +78,7 @@ class GpuElemwise(Op):
         #       the amount of loading and storing to global memory that we would have to do.
         #       That's why it isn't implemented yet.
         #
-        sync = config.config.getboolean('gpuelemwise.sync',sync)
+        sync = config.gpuelemwise.sync
         self.scalar_op = scalar_op
         if 0:
             #we don't put them their as this cause trouble with the local_cut_gpu_host_gpu optimizer.

theano/sandbox/cuda/type.py

@@ -4,8 +4,7 @@ import sys, os, StringIO
 import numpy
 
 from theano import Op, Type, Apply, Variable, Constant
-from theano import tensor
-import theano.config as config
+from theano import tensor, config
 
 import cuda_ndarray.cuda_ndarray as cuda
 import cuda_ndarray
@@ -240,14 +239,14 @@ class CudaNdarrayType(Type):
     def c_header_dirs(self):
         """Override `CLinkerOp.c_headers` """
         ret = [os.path.dirname(cuda_ndarray.__file__)]
-        cuda_root = config.CUDA_ROOT
+        cuda_root = config.cuda.root
         if cuda_root:
             ret.append(os.path.join(cuda_root,'include'))
         return ret
 
     def c_lib_dirs(self):
         ret = [os.path.dirname(cuda_ndarray.__file__)]
-        cuda_root = config.CUDA_ROOT
+        cuda_root = config.cuda.root
         if cuda_root:
             ret.append(os.path.join(cuda_root,'lib'))
         return ret
@@ -268,7 +267,7 @@ class CudaNdarrayType(Type):
 
     def c_compile_args(self):
         ret = []
-        if config.config.getboolean('nvcc.fastmath'):
+        if config.nvcc.fastmath:
             ret.append('-use_fast_math')
         return ret