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mmpretrain.models.losses.cae_loss 源代码

# Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple

import torch
from mmengine.model import BaseModule
from torch import nn

from mmpretrain.registry import MODELS


[文档]@MODELS.register_module() class CAELoss(BaseModule): """Loss function for CAE. Compute the align loss and the main loss. Args: lambd (float): The weight for the align loss. """ def __init__(self, lambd: float) -> None: super().__init__() self.lambd = lambd self.loss_cross_entropy = nn.CrossEntropyLoss() self.loss_mse = nn.MSELoss()
[文档] def forward( self, logits: torch.Tensor, target: torch.Tensor, latent_pred: torch.Tensor, latent_target: torch.Tensor) -> Tuple[torch.Tensor, torch.Tensor]: """Forward function of CAE Loss. Args: logits (torch.Tensor): The outputs from the decoder. target (torch.Tensor): The targets generated by dalle. latent_pred (torch.Tensor): The latent prediction from the regressor. latent_target (torch.Tensor): The latent target from the teacher network. Returns: Tuple[torch.Tensor, torch.Tensor]: The main loss and align loss. """ loss_main = self.loss_cross_entropy(logits, target) loss_align = self.loss_mse(latent_pred, latent_target.detach()) * self.lambd return loss_main, loss_align
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