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https://github.com/wassname/pytorch-lightning.git
synced 2026-09-09 11:32:07 +08:00
added single gpu train test
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@@ -394,7 +394,9 @@ class Trainer(TrainerIO):
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elif self.single_gpu:
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gpu_id = self.data_parallel_device_ids[0]
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data_batch = [x.cuda(gpu_id) for x in data_batch if isinstance(x, torch.Tensor)]
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for i, x in enumerate(data_batch):
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if isinstance(x, torch.Tensor):
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data_batch[i] = x.cuda(gpu_id)
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output = model.validation_step(data_batch, batch_i)
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else:
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@@ -849,7 +851,9 @@ We recommend you switch to ddp if you want to use amp
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output = reduce_distributed_output(output, len(self.data_parallel_device_ids))
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elif self.single_gpu:
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gpu_id = self.data_parallel_device_ids[0]
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data_batch = [x.cuda(gpu_id) for x in data_batch if isinstance(x, torch.Tensor)]
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for i, x in enumerate(data_batch):
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if isinstance(x, torch.Tensor):
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data_batch[i] = x.cuda(gpu_id)
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output = self.model.training_step(data_batch.cuda(self.data_parallel_device_ids[0]), batch_nb)
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else:
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