Merge pull request #291 from nouiz/fix_device

theano/sandbox/cuda/tests/test_vector_matrix_dot.py

@@ -65,9 +65,9 @@ def test_dot_mv():
 
 def test_gemv1():
     ''' test vector1+dot(matrix,vector2) '''
-    v1 = theano.shared( numpy.array(numpy.random.rand(2)  , dtype='float32'))
-    v2 = theano.shared( numpy.array(numpy.random.rand(5)  , dtype='float32'))
-    m  = theano.shared( numpy.array(numpy.random.rand(5,2), dtype='float32'))
+    v1 = theano.tensor._shared( numpy.array(numpy.random.rand(2)  , dtype='float32'))
+    v2 = theano.tensor._shared( numpy.array(numpy.random.rand(5)  , dtype='float32'))
+    m  = theano.tensor._shared( numpy.array(numpy.random.rand(5,2), dtype='float32'))
 
     no_gpu_f = theano.function([], v2+theano.dot(m,v1), mode = mode_without_gpu)
     gpu_f    = theano.function([], v2+theano.dot(m,v1), mode = mode_with_gpu)

theano/tensor/tests/test_basic.py

@@ -2713,7 +2713,7 @@ class T_Join_and_Split(unittest.TestCase):
         # tested only on cpu as gpu support only float32
         a = as_tensor_variable(1)
         b = as_tensor_variable(2.0)
-        c = shared(numpy.asarray(3.0, dtype=self.floatX))
+        c = tensor._shared(numpy.asarray(3.0, dtype=self.floatX))
         s = stack(a, b, c)
         want = numpy.array([1, 2, 3])
         out = self.eval_outputs_and_check_vector([s], opt.MakeVector)