Use the _allclose function to decide if arrays are close.

theano/sandbox/linalg/tests/test_linalg.py

@@ -108,7 +108,7 @@ def test_rop_lop():
     v1 = rop_f(vx,vv)
     v2 = scan_f(vx,vv)
 
-    assert numpy.allclose(v1,v2), ('ROP mismatch: %s %s' % (v1, v2))
+    assert _allclose(v1, v2), ('ROP mismatch: %s %s' % (v1, v2))
 
     raised = False
     try:
@@ -128,10 +128,9 @@ def test_rop_lop():
     sy = tensor.grad((v*y).sum(), mx)
     scan_f = function([mx, v], sy)
 
-
-    v1 = lop_f(vx,vv)
-    v2 = scan_f(vx,vv)
-    assert numpy.allclose(v1,v2), ('LOP mismatch: %s %s' % (v1, v2))
+    v1 = lop_f(vx, vv)
+    v2 = scan_f(vx, vv)
+    assert _allclose(v1, v2), ('LOP mismatch: %s %s' % (v1, v2))
 
 
 def test_det_grad():