mirror of https://github.com/hpcaitech/ColossalAI
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
49 lines
1.6 KiB
49 lines
1.6 KiB
import torch.nn as nn
|
|
from colossalai.registry import LOSSES
|
|
from torch.nn.modules.loss import _Loss
|
|
from colossalai.global_variables import moe_env
|
|
|
|
|
|
@LOSSES.register_module
|
|
class MoeCrossEntropyLoss(_Loss):
|
|
"""torch.nn.CrossEntropyLoss added with auxiliary loss.
|
|
|
|
:param aux_weight: Weight of auxiliary loss in total loss
|
|
:param args: Args in CrossEntropyLoss
|
|
:param kwargs: Kwargs in CrossEntropyLoss
|
|
|
|
:type aux_weight: float, optional
|
|
"""
|
|
def __init__(self, aux_weight: float = 0.01, *args, **kwargs):
|
|
super().__init__()
|
|
self.loss = nn.CrossEntropyLoss(*args, **kwargs)
|
|
self.aux_weight = aux_weight
|
|
|
|
def forward(self, *args):
|
|
main_loss = self.loss(*args)
|
|
aux_loss = moe_env.get_loss()
|
|
return main_loss + self.aux_weight * aux_loss
|
|
|
|
|
|
@LOSSES.register_module
|
|
class MoeLoss(_Loss):
|
|
"""A wrapper class for any loss module to add with auxiliary loss.
|
|
|
|
:param aux_weight: Weight of auxiliary loss in total loss
|
|
:param loss_fn: Loss function
|
|
:param args: Args in loss function
|
|
:param kwargs: Kwargs in loss function
|
|
|
|
:type aux_weight: float
|
|
:type loss_fn: Callable
|
|
"""
|
|
def __init__(self, aux_weight: float, loss_fn, *args, **kwargs):
|
|
super().__init__()
|
|
self.loss_fn = loss_fn(*args, **kwargs)
|
|
self.aux_weight = aux_weight
|
|
|
|
def forward(self, *args, **kwargs):
|
|
main_loss = self.loss_fn(*args, **kwargs)
|
|
aux_loss = moe_env.get_loss()
|
|
return main_loss + self.aux_weight * aux_loss
|