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