def test_activity_regularization():
from keras.engine import Input, Model
layer = core.ActivityRegularization(l1=0.01, l2=0.01)
# test in functional API
x = Input(shape=(3, ))
z = core.Dense(2)(x)
y = layer(z)
model = Model(input=x, output=y)
model.compile('rmsprop', 'mse', mode='FAST_COMPILE')
model.predict(np.random.random((2, 3)))
# test serialization
model_config = model.get_config()
model = Model.from_config(model_config)
model.compile('rmsprop', 'mse')
def test_act_reg():
layer = core.ActivityRegularization(0.5, 0.5)
_runner(layer)
