Remove import of device_properties at the top of the file, as this break import…

theano/sandbox/gpuarray/opt.py

@@ -18,7 +18,6 @@ from theano.scan_module import scan_utils, scan_op, scan_opt
 
 from theano.gof.python25 import all, any
 from theano.tensor.nnet.conv import ConvOp
-from theano.sandbox.cuda.basic_ops import device_properties
 from theano.sandbox.gpuarray.type import GpuArrayType
 from theano.sandbox.gpuarray.basic_ops import (
     host_from_gpu, gpu_from_host, HostFromGpu,
@@ -294,6 +293,8 @@ def local_gpua_advanced_incsubtensor(node):
     coords = node.inputs[2:]
     set_instead_of_inc = node.op.set_instead_of_inc
     active_device_no = theano.sandbox.cuda.active_device_number()
+    device_properties = theano.sandbox.cuda.device_properties
+
     compute_capability = device_properties(active_device_no)['major']
     
     if (compute_capability < 2 or x.ndim != 2 or y.ndim != 2):

theano/sandbox/gpuarray/subtensor.py

@@ -7,7 +7,6 @@ from theano import tensor, gof, Op
 from theano.gof.python25 import all, any
 from theano.tensor.subtensor import IncSubtensor, Subtensor, get_idx_list
 import theano.tensor.inplace
-from theano.sandbox.cuda.basic_ops import device_properties
 from theano.sandbox.cuda.nvcc_compiler import NVCC_compiler
 
 try:
@@ -489,6 +488,7 @@ class GpuAdvancedIncSubtensor1_dev20(GpuAdvancedIncSubtensor1):
 
     def c_code(self, node, name, inputs, outputs, sub):
         active_device_no = theano.sandbox.cuda.active_device_number()
+        device_properties = theano.sandbox.cuda.device_properties
         compute_capability = device_properties(active_device_no)['major']
         if ((self.set_instead_of_inc) or
             (node.inputs[0].ndim != node.inputs[1].ndim) or

theano/sandbox/rng_mrg.py

@@ -29,6 +29,7 @@ if cuda_available:
 from theano.sandbox.gpuarray.basic_ops import GpuKernelBase
 from theano.sandbox.gpuarray.type import GpuArrayType
 
+
 def matVecModM(A, s, m):
     assert A.dtype == 'int64'
     return numpy.int32(numpy.sum((A*s) % m, 1) % m)