test_views.py 文件源码

def test_keras_import(self):
        # softmax
        model = Sequential()
        model.add(Activation('softmax', input_shape=(15,)))
        model.build()
        self.keras_type_test(model, 0, 'Softmax')
        # relu
        model = Sequential()
        model.add(Activation('relu', input_shape=(15,)))
        model.build()
        self.keras_type_test(model, 0, 'ReLU')
        # tanh
        model = Sequential()
        model.add(Activation('tanh', input_shape=(15,)))
        model.build()
        self.keras_type_test(model, 0, 'TanH')
        # sigmoid
        model = Sequential()
        model.add(Activation('sigmoid', input_shape=(15,)))
        model.build()
        self.keras_type_test(model, 0, 'Sigmoid')
        # selu
        model = Sequential()
        model.add(Activation('selu', input_shape=(15,)))
        model.build()
        self.keras_type_test(model, 0, 'SELU')
        # softplus
        model = Sequential()
        model.add(Activation('softplus', input_shape=(15,)))
        model.build()
        self.keras_type_test(model, 0, 'Softplus')
        # softsign
        model = Sequential()
        model.add(Activation('softsign', input_shape=(15,)))
        model.build()
        self.keras_type_test(model, 0, 'Softsign')
        # hard_sigmoid
        model = Sequential()
        model.add(Activation('hard_sigmoid', input_shape=(15,)))
        model.build()
        self.keras_type_test(model, 0, 'HardSigmoid')
        # LeakyReLU
        model = Sequential()
        model.add(LeakyReLU(alpha=1, input_shape=(15,)))
        model.build()
        self.keras_type_test(model, 0, 'ReLU')
        # PReLU
        model = Sequential()
        model.add(PReLU(input_shape=(15,)))
        model.build()
        self.keras_type_test(model, 0, 'PReLU')
        # ELU
        model = Sequential()
        model.add(ELU(alpha=1, input_shape=(15,)))
        model.build()
        self.keras_type_test(model, 0, 'ELU')
        # ThresholdedReLU
        model = Sequential()
        model.add(ThresholdedReLU(theta=1, input_shape=(15,)))
        model.build()
        self.keras_type_test(model, 0, 'ThresholdedReLU')