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# http://www.apache.org/licenses/LICENSE-2.0
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import gc

from cosmos_predict2._src.imaginaire.callbacks.every_n import EveryN
from cosmos_predict2._src.imaginaire.utils import log


class ManualGarbageCollection(EveryN):
    """
    Disable auto gc and manually trigger garbage collection every N iterations
    It is super useful for large scale training to reduce gpu sync time!
    Can reach 50% speedup.

    It is important to note that this callback only disables gc in main process and have auto gc enabled in subprocesses.

    We start disable gc after warm_up iterations to avoid disabling gc in subprocesses, such as dataloader, which can cause OOM
    """

    def __init__(self, *args, warm_up: int = 5, **kwargs):
        kwargs["barrier_after_run"] = False
        super().__init__(*args, **kwargs)

        self.counter = 0
        self.warm = warm_up

    def every_n_impl(self, trainer, model, data_batch, output_batch, loss, iteration):
        del trainer, model, data_batch, output_batch, loss
        self.counter += 1
        if self.counter < self.warm:
            return
        if self.counter == self.warm:
            gc.disable()
            log.critical("Garbage collection disabled")

        gc.collect(1)