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https://github.com/wassname/pytorch-lightning.git
synced 2026-09-10 12:21:57 +08:00
removed print statements
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@@ -82,7 +82,6 @@ class Trainer(TrainerIO):
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self.print_nan_grads = print_nan_grads
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self.data_parallel_device_ids = None
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self.world_size = 1
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print('-'*100)
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# gpus come in as a string.
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# if gpus = -1 then use all available devices
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@@ -297,17 +296,14 @@ class Trainer(TrainerIO):
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# when using gpus, first thing we do is spawn a new process between each worker
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# multi-gpu and multi-nodes
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if self.data_parallel:
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print('DP train')
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self.experiment = self.experiment.get_meta_copy()
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mp.spawn(self.dp_train, nprocs=len(self.data_parallel_device_ids), args=(model, ))
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# treat 1 gpu as a different case to avoid nccl bugs
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elif len(self.data_parallel_device_ids) == 1:
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print('1 gpu train')
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self.single_gpu_train(model)
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else:
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print('NO GPU')
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# CHOOSE OPTIMIZER
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# filter out the weights that were done on gpu so we can load on good old cpus
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self.optimizers = model.configure_optimizers()
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