in codes/models.py [0:0]
def __init__(self, dim, pool_size = 8):
super().__init__()
self.pool_size = pool_size
self.pool_fn = Rearrange('b d (n p) -> b d n p', p = pool_size)
self.to_attn_logits = nn.Conv2d(dim, dim, 1, bias = False)
nn.init.dirac_(self.to_attn_logits.weight)
with torch.no_grad():
self.to_attn_logits.weight.mul_(2)