Move off the device and mode config to a separate file.

theano/sandbox/gpuarray/tests/config.py

+from nose.plugins.skip import SkipTest
+
+import theano.sandbox.gpuarray
+
+if theano.sandbox.gpuarray.pygpu is None:
+    raise SkipTest("pygpu not installed")
+
+if not theano.sandbox.gpuarray.pygpu_activated:
+    import theano.sandbox.cuda as cuda_ndarray
+    if cuda_ndarray.cuda_available:
+        cuda_ndarray.use('gpu', default_to_move_computation_to_gpu=False,
+                         move_shared_float32_to_gpu=False,
+                         enable_cuda=False)
+        theano.sandbox.gpuarray.init_dev('cuda')
+
+if not theano.sandbox.gpuarray.pygpu_activated:
+    raise SkipTest("pygpu disabled")
+
+test_ctx_name = None
+
+if theano.config.mode == 'FAST_COMPILE':
+    mode_with_gpu = theano.compile.mode.get_mode('FAST_RUN').including('gpuarray').excluding('gpu')
+    mode_without_gpu = theano.compile.mode.get_mode('FAST_RUN').excluding('gpuarray')
+else:
+    mode_with_gpu = theano.compile.mode.get_default_mode().including('gpuarray').excluding('gpu')
+    mode_without_gpu = theano.compile.mode.get_default_mode().excluding('gpuarray')

theano/sandbox/gpuarray/tests/test_basic_ops.py

@@ -13,7 +13,6 @@ from theano.tensor.basic import alloc
 from theano.tensor.tests import test_basic
 from theano.tensor.tests.test_basic import rand, safe_make_node
 from theano.tests import unittest_tools as utt
-from theano.tests.unittest_tools import SkipTest
 
 import theano.sandbox.gpuarray
 
@@ -25,41 +24,16 @@ from ..basic_ops import (
     gpu_join, GpuJoin, GpuSplit, GpuEye, gpu_contiguous)
 from ..subtensor import GpuSubtensor
 
-import theano.sandbox.cuda as cuda_ndarray
+from .config import mode_with_gpu, mode_without_gpu
 
 try:
     from pygpu import gpuarray
 except:
     pass
 
-if theano.sandbox.gpuarray.pygpu is None:
-    raise SkipTest("pygpu not installed")
-
-# If you are writing a new test file, don't copy this code, but rather
-# import stuff from this file (like mode_with_gpu) to reuse it.
-if cuda_ndarray.cuda_available and not theano.sandbox.gpuarray.pygpu_activated:
-    if not cuda_ndarray.use.device_number:
-        # We should not enable all the use like the flag device=gpu,
-        # as many tests don't work in that setup.
-        cuda_ndarray.use('gpu',
-                         default_to_move_computation_to_gpu=False,
-                         move_shared_float32_to_gpu=False,
-                         enable_cuda=False)
-    theano.sandbox.gpuarray.init_dev('cuda')
-
-if not theano.sandbox.gpuarray.pygpu_activated:
-    raise SkipTest("pygpu disabled")
-
 utt.seed_rng()
 rng = numpy.random.RandomState(seed=utt.fetch_seed())
 
-if theano.config.mode == 'FAST_COMPILE':
-    mode_with_gpu = theano.compile.mode.get_mode('FAST_RUN').including('gpuarray').excluding('gpu')
-    mode_without_gpu = theano.compile.mode.get_mode('FAST_RUN').excluding('gpuarray')
-else:
-    mode_with_gpu = theano.compile.mode.get_default_mode().including('gpuarray').excluding('gpu')
-    mode_without_gpu = theano.compile.mode.get_default_mode().excluding('gpuarray')
-
 
 def inplace_func(inputs, outputs, mode=None, allow_input_downcast=False,
                  on_unused_input='raise', name=None):
@@ -114,6 +88,7 @@ def makeTester(name, op, gpu_op, cases, checks=None, mode_gpu=mode_with_gpu,
 
         def test_all(self):
             if skip:
+                from nose.plugins.skip import SkipTest
                 raise SkipTest(skip)
 
             for testname, inputs in iteritems(cases):

theano/sandbox/gpuarray/tests/test_blas.py

@@ -10,8 +10,8 @@ from theano.tensor.blas import gemv_inplace, gemm_inplace, _dot22
 from theano.tensor.tests.test_blas import TestGer, BaseGemv
 
 from .. import gpuarray_shared_constructor
-from .test_basic_ops import (makeTester, rand,
-                             mode_with_gpu)
+from .config import mode_with_gpu
+from .test_basic_ops import makeTester, rand
 
 from ..blas import (gpugemv_inplace, gpugemv_no_inplace,
                     gpugemm_inplace,

theano/sandbox/gpuarray/tests/test_conv_cuda_ndarray.py

@@ -14,7 +14,7 @@ from theano import tensor
 from theano.tests.unittest_tools import seed_rng
 
 # We let that import do the init of the back-end if needed.
-from .test_basic_ops import mode_with_gpu
+from .config import mode_with_gpu
 from ..type import GpuArrayType
 from ..conv import GpuConv
 from theano.sandbox.gpuarray import dnn

theano/sandbox/gpuarray/tests/test_dnn.py

@@ -15,7 +15,7 @@ from theano.tensor.signal.downsample import MaxPoolGrad, AveragePoolGrad
 from .. import dnn
 from ..basic_ops import GpuAllocEmpty
 
-from .test_basic_ops import mode_with_gpu, mode_without_gpu
+from .config import mode_with_gpu, mode_without_gpu
 from . import test_nnet
 
 

theano/sandbox/gpuarray/tests/test_elemwise.py

@@ -7,7 +7,8 @@ from theano.tests.unittest_tools import SkipTest, assert_allclose
 from theano.tensor.tests.test_elemwise import (test_Broadcast, test_DimShuffle,
                                                test_CAReduce, T_reduce_dtype)
 
-from .test_basic_ops import mode_with_gpu, rand_gpuarray
+from .config import mode_with_gpu
+from .test_basic_ops import rand_gpuarray
 from ..elemwise import (GpuElemwise, GpuDimShuffle,
                         GpuCAReduceCuda, GpuCAReduceCPY)
 from ..type import GpuArrayType

theano/sandbox/gpuarray/tests/test_neighbours.py

-
 from theano.tensor.nnet.tests import test_neighbours
-# We let that import do the init of the back-end if needed.
-from .test_basic_ops import mode_with_gpu
+
+from .config import mode_with_gpu
 
 from ..neighbours import GpuImages2Neibs
 

theano/sandbox/gpuarray/tests/test_nerv.py

@@ -6,7 +6,7 @@ from theano import function
 from theano.tests import unittest_tools as utt
 from theano.tensor import vector, matrix, dot
 
-from .test_basic_ops import mode_with_gpu
+from .config import mode_with_gpu
 from ..nerv import Gemm16, nerv
 
 

theano/sandbox/gpuarray/tests/test_nnet.py

@@ -7,9 +7,7 @@ import theano
 import theano.tensor as T
 import theano.tests.unittest_tools as utt
 
-# We let that import do the init of the back-end if needed.
-from .test_basic_ops import (mode_with_gpu,
-                             mode_without_gpu)
+from .config import mode_with_gpu, mode_without_gpu
 from ..nnet import (
     GpuCrossentropySoftmaxArgmax1HotWithBias,
     GpuCrossentropySoftmax1HotWithBiasDx,

theano/sandbox/gpuarray/tests/test_opt.py

@@ -14,7 +14,9 @@ from ..basic_ops import (GpuAlloc, GpuReshape, gpu_alloc,
                          gpu_from_host, host_from_gpu)
 from ..elemwise import GpuCAReduceCuda, GpuCAReduceCPY, GpuElemwise
 from ..subtensor import GpuSubtensor
-from .test_basic_ops import rand_gpuarray, mode_with_gpu, mode_without_gpu
+
+from .config import mode_with_gpu, mode_without_gpu
+from .test_basic_ops import rand_gpuarray
 
 
 def test_local_assert():

theano/sandbox/gpuarray/tests/test_scan.py

@@ -9,7 +9,7 @@ import theano.sandbox.rng_mrg
 from ..basic_ops import gpu_from_host, GpuFromHost, HostFromGpu
 from ..elemwise import GpuElemwise
 
-from .test_basic_ops import mode_with_gpu
+from .config import mode_with_gpu
 
 
 class T_Scan(TestCase):

theano/sandbox/gpuarray/tests/test_subtensor.py

@@ -11,8 +11,7 @@ from ..subtensor import (GpuIncSubtensor, GpuSubtensor,
                          GpuAdvancedIncSubtensor1)
 from ..type import gpuarray_shared_constructor
 
-from .test_basic_ops import mode_with_gpu
-
+from .config import mode_with_gpu
 
 
 class G_subtensor(test_subtensor.T_subtensor):