improved balancer + loss logic

This commit is contained in:
SayanoAI
2024-10-03 19:20:55 -04:00
parent 427fb7521d
commit 784767c8e0
4 changed files with 120 additions and 97 deletions
+5
View File
@@ -71,6 +71,11 @@ def minmax_scale(tensor: torch.Tensor, eps=1e-8):
tensor = (tensor - tensor.min()) / (tensor.max() - tensor.min() + eps)
return tensor
def compute_correlation(t1: torch.Tensor, t2: torch.Tensor, eps=1e-8):
numerator = (t1 * t2).nan_to_num(0).sum(dim=-1)
denominator = torch.sqrt((t1 ** 2).sum(dim=-1) * (t2 ** 2).sum(dim=-1)+eps).nan_to_num(0)
return (numerator / denominator).nan_to_num(0)
def init_weights(m, mean=0.0, std=0.01):
classname = m.__class__.__name__
if classname.find("Conv") != -1: