3c4f0ac609b5a7b1f55db0f3dd5d25d366416f70,tests/auto/test_graph_model.py,TestGraph,test_2o_1i_sample_weights,#TestGraph#,133

Before Change

        weights1 = np.random.uniform(size=y_train.shape[0])
        weights2 = np.random.uniform(size=y2_train.shape[0])
        weights1_test = np.random.uniform(size=y_test.shape[0])
        weights2_test = np.random.uniform(size=y2_test.shape[0])

        graph.compile("rmsprop", {"output1": "mse", "output2": "mse"})

        history = graph.fit({"input1": X_train, "output1": y_train, "output2": y2_train}, nb_epoch=10,

After Change

                                    sample_weight={"output1": weights1, "output2": weights2})
        loss = graph.evaluate({"input1": X_train, "output1": y_train, "output2": y2_train},
                              sample_weight={"output1": weights1, "output2": weights2})
        print(loss)

    def test_recursive(self):
        print("test layer-like API")

Instances