def test_tiny_time_distrbuted(self):
# as the first layer in a model
model = Sequential()
model.add(TimeDistributed(Dense(8), input_shape=(10, 16)))
model.set_weights([np.random.rand(*w.shape) for w in model.get_weights()])
self._test_keras_model(model)
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