

def __init__(self, layers, name=None):
    super(Sequential, self).__init__(name)
    self.layers = [l for l in flatten(layers)]
    self._layers = filter((lambda x: (type(x) not in (BranchNode,))), self.layers)
    root = self._layers[0]
    assert (root.owns_output or (type(root) in [Dropout, DataTransform])), 'Sequential root must own outputs'

dataset/ETHPy150Open NervanaSystems/neon/neon/layers/container.py Sequential.__init__/original