make rng test on gpu fully on gpu

theano/sandbox/test_rng_mrg.py

@@ -24,7 +24,8 @@ from theano.tests import unittest_tools as utt
 
 #TODO: bug fix test_normal0, in normal() fct, n_samples currently need to be numpy.prod(size) not self.n_streams(size)
 
-mode = theano.config.mode
+mode = config.mode
+mode_with_gpu = theano.compile.mode.get_default_mode().including('gpu')
 utt.seed_rng()
 
 ## Results generated by Java code using L'Ecuyer et al.'s code, with:
@@ -351,7 +352,7 @@ def test_uniform():
             assert u.dtype == 'float32' #well, it's really that this test w GPU doesn't make sense otw
             f = theano.function(var_input, theano.Out(
                     theano.sandbox.cuda.basic_ops.gpu_from_host(u),
-                    borrow=True), mode=mode)
+                    borrow=True), mode=mode_with_gpu)
             assert any([isinstance(node.op,theano.sandbox.rng_mrg.GPU_mrg_uniform) 
                         for node in f.maker.env.toposort()])
             theano.printing.debugprint(f)
@@ -409,7 +410,7 @@ def test_binomial():
                 assert u.dtype == 'float32' #well, it's really that this test w GPU doesn't make sense otw
                 f = theano.function(var_input, theano.Out(
                         theano.sandbox.cuda.basic_ops.gpu_from_host(u),
-                        borrow=True), mode=mode)
+                        borrow=True), mode=mode_with_gpu)
                 theano.printing.debugprint(f)
                 out = numpy.asarray(f(*input))
                 print 'random?[:10]\n', out[0,0:10]