How should I load the trained model with keras？ about keras-resnet HOT 3 OPEN

class MyModel(keras.Model):
    def __init__(self, inputs, *args, **kwargs):
        outputs = func(inputs)
    super(MyModel, self).__init__( inputs=inputs, outputs=outputs, *args, **kwargs)

def get_model():
    return MyModel(inputs, *args, **kwargs)

model = get_model()
model.save(‘file_path.h5’)

model_new = get_model()
model_new.compile(optimizer=optimizer, loss=loss, metrics=metrics)
model_new.load_weights(‘file_path.h5’)
model_new.evaluate(x_test, y_test, **kwargs)