16 lines
537 B
Python
16 lines
537 B
Python
import torch
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import PytorchBoot.stereotype as stereotype
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@stereotype.loss_function("gf_loss")
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class GFLoss:
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def __init__(self, config):
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pass
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def compute(self, output, _):
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estimated_score = output['estimated_score']
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target_score = output['target_score']
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std = output['std']
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bs = estimated_score.shape[0]
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loss_weighting = std ** 2
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loss = torch.mean(torch.sum((loss_weighting * (estimated_score - target_score) ** 2).view(bs, -1), dim=-1))
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return loss |