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# Copyright (c) OpenMMLab. All rights reserved.
import operator as op
from typing import Any, Optional, Union
from mmengine.hooks import Hook
from mmpretrain.registry import HOOKS
from mmpretrain.utils import get_ori_model
@HOOKS.register_module()
class WarmupParamHook(Hook):
"""This is a hook used for changing the parameters other than optimizations
that need to warmup inside the module.
This hook can extend with more detailed warmup rule if necessary.
Args:
param_name (str): The parameter name that needs to be altered.
module_name (str): Module name that belongs to the model. Such as
`head`, `head.loss`, etc.
warmup_epochs (int): The warmup epochs for this parameter.
"""
def __init__(
self,
param_name: str,
module_name: str,
warmup_epochs: int,
) -> None:
self.param_name = param_name
self.warmup_epochs = warmup_epochs
# getter for module which saves the changed parameter
self.module_getter = op.attrgetter(module_name)
def get_param(self, runner) -> Any:
"""Get the parameter."""
try:
module = self.module_getter(get_ori_model(runner.model))
return getattr(module, self.param_name)
except AttributeError as e:
raise AttributeError(f'{e}. Please check hook settings.')
def set_param(self, runner, value) -> None:
"""Set the parameter."""
try:
module = self.module_getter(get_ori_model(runner.model))
setattr(module, self.param_name, value)
except AttributeError as e:
raise AttributeError(f'{e}. Please check hook settings.')
def before_train(self, runner) -> None:
"""Get the original value before train."""
self.ori_val = self.get_param(runner)
def before_train_iter(
self,
runner,
batch_idx: int,
data_batch: Optional[Union[dict, tuple, list]] = None) -> None:
"""Set the warmup value before each train iter."""
cur_iter = runner.iter
iters_per_epoch = runner.max_iters / runner.max_epochs
new_val = self.ori_val * min(
1, cur_iter / (self.warmup_epochs * iters_per_epoch))
self.set_param(runner, new_val)
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