mmselfsup/openselfsup/hooks/optimizer_hook.py

23 lines
784 B
Python

from mmcv.runner import OptimizerHook
class DistOptimizerHook(OptimizerHook):
def __init__(self, update_interval=1, grad_clip=None, coalesce=True, bucket_size_mb=-1):
self.grad_clip = grad_clip
self.coalesce = coalesce
self.bucket_size_mb = bucket_size_mb
self.update_interval = update_interval
def before_run(self, runner):
runner.optimizer.zero_grad()
def after_train_iter(self, runner):
runner.outputs['loss'] /= self.update_interval
runner.outputs['loss'].backward()
if self.every_n_iters(runner, self.update_interval):
if self.grad_clip is not None:
self.clip_grads(runner.model.parameters())
runner.optimizer.step()
runner.optimizer.zero_grad()