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)