improved balancer + loss logic
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@@ -71,6 +71,11 @@ def minmax_scale(tensor: torch.Tensor, eps=1e-8):
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tensor = (tensor - tensor.min()) / (tensor.max() - tensor.min() + eps)
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return tensor
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def compute_correlation(t1: torch.Tensor, t2: torch.Tensor, eps=1e-8):
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numerator = (t1 * t2).nan_to_num(0).sum(dim=-1)
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denominator = torch.sqrt((t1 ** 2).sum(dim=-1) * (t2 ** 2).sum(dim=-1)+eps).nan_to_num(0)
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return (numerator / denominator).nan_to_num(0)
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def init_weights(m, mean=0.0, std=0.01):
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classname = m.__class__.__name__
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if classname.find("Conv") != -1:
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