mirror of
https://github.com/wassname/pytorch-lightning.git
synced 2026-09-09 11:32:07 +08:00
@@ -494,13 +494,13 @@ In this method we do all the preparation we need to do once (instead of on every
|
||||
self.test_dataset = mnist_test
|
||||
|
||||
def train_dataloader(self):
|
||||
return DataLoader(train_dataset, batch_size=64)
|
||||
return DataLoader(self.train_dataset, batch_size=64)
|
||||
|
||||
def val_dataloader(self):
|
||||
return DataLoader(mnist_val, batch_size=64)
|
||||
return DataLoader(self.mnist_val, batch_size=64)
|
||||
|
||||
def test_dataloader(self):
|
||||
return DataLoader(mnist_test, batch_size=64)
|
||||
return DataLoader(self.mnist_test, batch_size=64)
|
||||
|
||||
The `prepare_data` method is also a good place to do any data processing that needs to be done only
|
||||
once (ie: download or tokenize, etc...).
|
||||
|
||||
Reference in New Issue
Block a user