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https://github.com/wassname/pytorch-lightning.git
synced 2026-09-09 11:32:07 +08:00
set dp as default backend
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@@ -640,8 +640,8 @@ class Trainer(TrainerIO):
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# hook
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if self.__is_function_implemented('on_batch_start'):
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model = self.__get_model()
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response = model.on_batch_start(data_batch)
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model_ref = self.__get_model()
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response = model_ref.on_batch_start(data_batch)
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if response == -1:
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return -1
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@@ -652,9 +652,9 @@ class Trainer(TrainerIO):
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# forward pass
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# return a scalar value and a dic with tqdm metrics
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if self.use_ddp:
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output = model(data_batch, batch_nb)
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output = self.model(data_batch, batch_nb)
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elif self.use_dp:
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output = model(data_batch, batch_nb)
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output = self.model(data_batch, batch_nb)
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output = reduce_distributed_output(output, len(self.data_parallel_device_ids))
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else:
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output = self.model.training_step(data_batch, batch_nb)
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