20 lines
586 B
Python
20 lines
586 B
Python
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from ppcls.engine.train.train import forward
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from .softsuploss import SoftSupConLoss
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import copy
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import paddle.nn as nn
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class CCSSLCeLoss(nn.Layer):
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def __init__(self, **kwargs):
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super(CCSSLCeLoss, self).__init__()
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self.celoss = nn.CrossEntropyLoss(reduction='none')
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def forward(self, inputs, batch, **kwargs):
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p_targets_u_w = batch['p_targets_u_w']
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logits_s1 = batch['logits_s1']
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mask = batch['mask']
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loss_u = self.celoss(logits_s1, p_targets_u_w) * mask
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loss_u = loss_u.mean()
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return {'CCSSLCeLoss': loss_u}
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