b4bdc5a0fae205c0a53871ae94503ab9fa0ae92f,tests/keras/test_sequential_model.py,,test_sequential,#,71

Before Change

    model.train_on_batch(X_train[:32], y_train[:32])

    gen_loss = model.evaluate_generator(data_generator(True), 256)
    loss = model.evaluate(X_test, y_test)

    model.predict(X_test, verbose=0)

After Change

    loss = model.evaluate(X_test, y_test)

    prediction = model.predict_generator(data_generator(X_test, y_test), X_test.shape[0])
    gen_loss = model.evaluate_generator(data_generator(X_test, y_test, 50), X_test.shape[0])
    pred_loss = K.eval(K.mean(objectives.get(model.loss)(K.variable(y_test), K.variable(prediction))))

    assert(np.isclose(pred_loss, loss))

Instances