[Py]Fix problem with double set layout (#808)

* [Py]Fix problem with double set layout

* Extend UT for coverage double set layout

python/ngraph/runtime.py

@@ -65,6 +65,8 @@ class Computation:
             element_type = parameter.get_element_type()
             self.tensor_views.append(runtime.backend.make_primary_tensor_view(element_type, shape))
         self.function = Function(self.node, self.parameters, 'ngraph_computation')
+        external = self.runtime.manager.compile(self.function)
+        self.call_frame = self.runtime.backend.make_call_frame(external)
 
     def __repr__(self):  # type: () -> str
         params_string = ', '.join([param.name for param in self.parameters])
@@ -85,9 +87,7 @@ class Computation:
             result_element_type, result_shape)
         result_arr = np.empty(result_shape, dtype=result_dtype)
 
-        external = self.runtime.manager.compile(self.function)
-        call_frame = self.runtime.backend.make_call_frame(external)
-        call_frame.call([result_view], self.tensor_views)
+        self.call_frame.call([result_view], self.tensor_views)
 
         Computation._read_tensor_view_to_ndarray(result_view, result_arr)
         result_arr = result_arr.reshape(result_shape)

python/test/ngraph/test_basic.py

@@ -40,6 +40,12 @@ def test_simple_computation_on_ndarrays(dtype):
     result = computation(value_a, value_b, value_c)
     assert np.allclose(result, np.array([[54, 80], [110, 144]], dtype=dtype))
 
+    value_a = np.array([[13, 14], [15, 16]], dtype=dtype)
+    value_b = np.array([[17, 18], [19, 20]], dtype=dtype)
+    value_c = np.array([[21, 22], [23, 24]], dtype=dtype)
+    result = computation(value_a, value_b, value_c)
+    assert np.allclose(result, np.array([[630, 704], [782, 864]], dtype=dtype))
+
 
 def test_serialization():
     dtype = np.float32