

def fprop(self, inputs, inference=False):
    for l in self.layers:
        beta = (0 if (l is self.layers[0]) else 1)
        beta.fprop(inputs, inference, beta=beta)
    return self.outputs

dataset/ETHPy150Open NervanaSystems/neon/neon/layers/container.py MergeSum.fprop/VarMisuse@44/48 `l`->`beta`