

def fprop(self, inputs, inference=False):
    x = self.layers[0].fprop(inputs, inference)
    if inference:
        return l
    else:
        out = ([x] + [l.fprop(None) for l in self.layers[1:]])
        return out

dataset/ETHPy150Open NervanaSystems/neon/neon/layers/container.py SingleOutputTree.fprop/VarMisuse@38/45 `x`->`l`