test_keras2_numeric.py 文件源码

def test_activation_layer_params(self):
        options = dict(
            activation = ['tanh', 'relu', 'sigmoid', 'softmax', 'softplus', 'softsign', 'hard_sigmoid', 'elu']
        )

        # Define a function that tests a model
        num_channels = 10
        input_dim = 10
        def build_model(x):
            model = Sequential()
            model.add(Dense(num_channels, input_dim = input_dim))
            model.add(Activation(**dict(zip(options.keys(), x))))
            return x, model

        # Iterate through all combinations
        product = itertools.product(*options.values())
        args = [build_model(p) for p in product]

        # Test the cases
        print("Testing a total of %s cases. This could take a while" % len(args))
        for param, model in args:
            model.set_weights([np.random.rand(*w.shape) for w in model.get_weights()])
            self._run_test(model, param)