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Silence deprecations and use the DataLoaderConfig (#29779)
* Remove deprecations * Clean
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@ -221,6 +221,9 @@ if is_accelerate_available():
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if is_deepspeed_available():
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from accelerate.utils import DeepSpeedSchedulerWrapper
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if is_accelerate_available("0.28.0"):
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from accelerate.utils import DataLoaderConfiguration
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def _is_peft_model(model):
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if is_peft_available():
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@ -4248,12 +4251,26 @@ class Trainer:
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grad_acc_kwargs["sync_with_dataloader"] = False
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gradient_accumulation_plugin = GradientAccumulationPlugin(**grad_acc_kwargs)
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accelerator_config = self.args.accelerator_config.to_dict()
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if is_accelerate_available("0.28.0"):
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dataloader_config = DataLoaderConfiguration(
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split_batches=accelerator_config.pop("split_batches"),
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dispatch_batches=accelerator_config.pop("dispatch_batches"),
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even_batches=accelerator_config.pop("even_batches"),
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use_seedable_sampler=accelerator_config.pop("use_seedable_sampler"),
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)
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args = {
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"deepspeed_plugin": self.args.deepspeed_plugin,
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"gradient_accumulation_plugin": gradient_accumulation_plugin,
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}
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if is_accelerate_available("0.28.0"):
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args["dataloader_config"] = dataloader_config
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else:
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args.update(accelerator_config)
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# create accelerator object
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self.accelerator = Accelerator(
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deepspeed_plugin=self.args.deepspeed_plugin,
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gradient_accumulation_plugin=gradient_accumulation_plugin,
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**self.args.accelerator_config.to_dict(),
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)
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self.accelerator = Accelerator(**args)
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# some Trainer classes need to use `gather` instead of `gather_for_metrics`, thus we store a flag
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self.gather_function = self.accelerator.gather_for_metrics
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