lightning/pytorch_lightning/callbacks/gradient_accumulation_sched...

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import warnings
from .base import Callback
class GradientAccumulationScheduler(Callback):
r"""
Change gradient accumulation factor according to scheduling.
Args:
scheduling (dict): scheduling in format {epoch: accumulation_factor}
.. warning:: Epochs indexing starts from "1" until v0.6.x, but will start from "0" in
v0.8.0.
Example::
from pytorch_lightning import Trainer
from pytorch_lightning.callbacks import GradientAccumulationScheduler
# at epoch 5 start accumulating every 2 batches
accumulator = GradientAccumulationScheduler(scheduling: {5: 2})
Trainer(accumulate_grad_batches=accumulator)
"""
def __init__(self, scheduling: dict):
super().__init__()
if not scheduling: # empty dict error
raise TypeError("Empty dict cannot be interpreted correct")
for key in scheduling:
if not isinstance(key, int) or not isinstance(scheduling[key], int):
raise TypeError("All epoches and accumulation factor must be integers")
minimal_epoch = min(scheduling.keys())
warnings.warn('Epochs indexing of `scheduling` starts from "1" until v0.6.x,'
' but will start from "0" in v0.8.0.', DeprecationWarning)
if minimal_epoch < 1:
msg = f"Epochs indexing from 1, epoch {minimal_epoch} cannot be interpreted correct"
raise IndexError(msg)
if minimal_epoch != 1: # if user didnt define first epoch accumulation factor
scheduling.update({1: 1})
self.scheduling = scheduling
self.epochs = sorted(scheduling.keys())
def on_epoch_begin(self):
trainer = self.trainer
# indexing epochs from 1 (until v0.6.x)
# In v0.8.0, ` + 1` should be removed.
epoch = trainer.current_epoch + 1
for i in reversed(range(len(self.epochs))):
if epoch >= self.epochs[i]:
trainer.accumulate_grad_batches = self.scheduling.get(self.epochs[i])
break