def __init__()

in ppo_ewma/impala_cnn.py [0:0]


    def __init__(self, inchan, scale=1, batch_norm=False):
        super().__init__()
        self.inchan = inchan
        self.batch_norm = batch_norm
        s = math.sqrt(scale)
        self.conv0 = tu.NormedConv2d(self.inchan, self.inchan, 3, padding=1, scale=s)
        self.conv1 = tu.NormedConv2d(self.inchan, self.inchan, 3, padding=1, scale=s)
        if self.batch_norm:
            self.bn0 = nn.BatchNorm2d(self.inchan)
            self.bn1 = nn.BatchNorm2d(self.inchan)