Moved power function in the right folder.

theano/sandbox/linalg/ops.py

@@ -1202,7 +1202,3 @@ class EigvalshGrad(Op):
 
 def eigvalsh(a, b, lower=True):
     return Eigvalsh(lower)(a, b)
-
-
-def power(x,y):
-    return x**y

theano/sandbox/linalg/tests/test_linalg.py

@@ -601,23 +601,3 @@ def test_eigvalsh_grad():
     b = 10 * numpy.eye(5, 5) + rng.randn(5, 5)
     tensor.verify_grad(lambda a, b: eigvalsh(a, b).dot([1, 2, 3, 4, 5]),
                        [a, b], rng=numpy.random)
-
-
-class T_Power():
-    def test_numpy_compare(self):
-        rng = numpy.random.RandomState(utt.fetch_seed())
-        A = tensor.matrix("A", dtype=theano.config.floatX)
-        Q = power(A, 3)
-        fn = function([A], [Q])
-        a = rng.rand(4, 4).astype(theano.config.floatX)
-
-        n_p = numpy.power(a, 3)
-        t_p = fn(a)
-        assert numpy.allclose(n_p, t_p)
-
-    def test_multiple_power(self):
-        x = tensor.matrix()
-        y = [1, 2, 3]
-        z = power(x,y)
-        f = function([x], z)
-        assert allclose(f([1, 2, 3]), [1, 4, 27])

theano/tensor/basic.py

@@ -5021,3 +5021,7 @@ def ptp(a, axis=None):
     out = max(a, axis) - min(a, axis)
 
     return out
+
+
+def power(x,y):
+    return x**y

theano/tensor/tests/test_basic.py

@@ -6881,6 +6881,25 @@ if __name__ == '__main__':
     t.test_infer_shape()
 
 
+class T_Power():
+    def test_numpy_compare(self):
+        rng = numpy.random.RandomState(utt.fetch_seed())
+        A = tensor.matrix("A", dtype=theano.config.floatX)
+        Q = power(A, 3)
+        fn = function([A], [Q])
+        a = rng.rand(4, 4).astype(theano.config.floatX)
+
+        n_p = numpy.power(a, 3)
+        t_p = fn(a)
+        assert numpy.allclose(n_p, t_p)
+
+    def test_multiple_power(self):
+        x = tensor.matrix()
+        y = [1, 2, 3]
+        z = power(x,y)
+        f = function([x], z)
+        assert allclose(f([1, 2, 3]), [1, 4, 27])
+
 """
 
 if __name__ == '__main__':