cosmos_predict1/diffusion/training/trainer.py

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# SPDX-License-Identifier: Apache-2.0
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# Licensed under the Apache License, Version 2.0 (the "License");
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# http://www.apache.org/licenses/LICENSE-2.0
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from cosmos_predict1.diffusion.training.utils.checkpointer import MultiRankCheckpointer
from cosmos_predict1.utils.fsdp_checkpointer import FSDPCheckpointer
from cosmos_predict1.utils.trainer import Trainer as BaseTrainer


class Trainer(BaseTrainer):
    def __init__(self, config):
        super(Trainer, self).__init__(config)
        if config.trainer.distributed_parallelism == "ddp":
            self.checkpointer = MultiRankCheckpointer(config.checkpoint, config.job, callbacks=self.callbacks)
        elif config.trainer.distributed_parallelism == "fsdp":
            self.checkpointer = FSDPCheckpointer(config.checkpoint, config.job, callbacks=self.callbacks)
        else:
            raise ValueError(f"Unsupported distributed parallelism: {config.trainer.distributed_parallelism}")