Make the gpuarray tests run by default.

theano/sandbox/gpuarray/__init__.py

@@ -11,6 +11,7 @@ _logger.setLevel(logging.WARNING)
 error = _logger.error
 info = _logger.info
 
+pygpu_activated = False
 try:
     import pygpu
     import pygpu.gpuarray
@@ -24,8 +25,10 @@ import opt
 
 
 def init_dev(dev):
+    global pygpu_activated
     context = pygpu.init(dev)
     pygpu.set_default_context(context)
+    pygpu_activated = True
 
 if pygpu:
     try:
@@ -37,12 +40,8 @@ if pygpu:
             optdb.add_tags('gpuarray_opt', 'fast_run', 'inplace')
         elif config.gpuarray.init_device != '':
             init_dev(config.gpuarray.init_device)
-        else:
-            info("pygpu support not configured, disabling")
-            pygpu = None
     except Exception:
         error("Could not initialize pygpu, support disabled", exc_info=True)
-        pygpu = None
 else:
     if (config.gpuarray.init_device != '' or
         config.device.startswith('opencl') or

theano/sandbox/gpuarray/tests/test_basic_ops.py

@@ -11,7 +11,14 @@ from theano.tests.unittest_tools import SkipTest
 from numpy.testing.noseclasses import KnownFailureTest
 
 import theano.sandbox.gpuarray
-if theano.sandbox.gpuarray.pygpu is None:
+
+import theano.sandbox.cuda as cuda_ndarray
+if cuda_ndarray.cuda_available and not theano.sandbox.gpuarray.pygpu_activated:
+    if not cuda_ndarray.use.device_number:
+        cuda_ndarray.use('gpu')
+    theano.sandbox.gpuarray.init_dev('cuda')
+
+if not theano.sandbox.gpuarray.pygpu_activated:
     raise SkipTest("pygpu disabled")
 
 from theano.sandbox.gpuarray.type import (GpuArrayType,