in containers/Shoot/CNN/unet.py [0:0]
def __init__(self, num_filter,kernel,pad,activation,**kwargs):
super(Conv_Block, self).__init__(**kwargs)
with self.name_scope():
self.conv=nn.Conv2D(num_filter,kernel,padding=pad)
self.norm=nn.BatchNorm()
if activation=="swish":
self.act=nn.Swish()
else:
self.act=nn.Activation(activation)