Make it so that you can use some other device than 'opencl' or 'cuda'

theano/configdefaults.py

@@ -4,7 +4,7 @@ import subprocess
 
 from theano.configparser import (
         AddConfigVar, BoolParam, ConfigParam, DeviceParam, EnumStr, IntParam,
-        TheanoConfigParser)
+        StrParam, TheanoConfigParser)
 from theano.misc.cpucount import cpuCount
 from theano.misc.windows import call_subprocess_Popen
 
@@ -53,6 +53,14 @@ AddConfigVar('device',
         in_c_key=False,
         )
 
+AddConfigVar('gpuarray.init_device',
+             """
+             Device to initialize for gpuarray use without moving
+             computations automatically.
+             """,
+             StrParam(''),
+             in_c_key=False)
+
 AddConfigVar('init_gpu_device',
         ("Initialize the gpu device to use, works only if device=cpu. "
          "Unlike 'device', setting this option will NOT move computations, "

theano/sandbox/gpuarray/__init__.py

 import logging
 
 import theano
-from theano.configparser import config, AddConfigVar, StrParam, \
-    BoolParam, IntParam
+from theano.configparser import config
 from theano.compile import optdb
 
 _logger_name = 'theano.sandbox.gpuarray'
@@ -18,15 +17,6 @@ try:
 except ImportError:
     pygpu = None
 
-
-AddConfigVar('gpuarray.init_device',
-             """
-             Device to initialize for gpuarray use without moving
-             computations automatically.
-             """,
-             StrParam(''))
-
-
 # This is for documentation not to depend on the availability of pygpu
 from type import (GpuArrayType, GpuArrayVariable, GpuArrayConstant,
                   GpuArraySharedVariable, gpuarray_shared_constructor)