mmselfsup.models.losses.mae_loss 源代码
# Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmengine.model import BaseModule
from mmselfsup.registry import MODELS
[文档]@MODELS.register_module()
class MAEReconstructionLoss(BaseModule):
"""Loss function for MAE.
Compute the loss in masked region.
"""
def __init__(self) -> None:
super().__init__()
[文档] def forward(self, pred: torch.Tensor, target: torch.Tensor,
mask: torch.Tensor) -> torch.Tensor:
"""Forward function of MAE Loss.
Args:
pred (torch.Tensor): The reconstructed image.
target (torch.Tensor): The target image.
mask (torch.Tensor): The mask of the target image.
Returns:
torch.Tensor: The reconstruction loss.
"""
loss = (pred - target)**2
loss = loss.mean(dim=-1)
loss = (loss * mask).sum() / mask.sum()
return loss