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moved sampler

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William Falcon
2019-07-08 19:11:16 -04:00
parent cf4b25e455
commit 0bcc858cef
2 changed files with 3 additions and 6 deletions
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pytorch_lightning/models/trainer.py
+3 -3
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@@ -175,17 +175,17 @@ class Trainer(TrainerIO):
self.tqdm_metrics = {}
# determine number of training batches
self.nb_tng_batches = model.nb_batches(self.tng_dataloader)
self.nb_tng_batches = len(self.tng_dataloader)
self.nb_tng_batches = int(self.nb_tng_batches * self.train_percent_check)
# determine number of validation batches
self.nb_val_batches = model.nb_batches(self.val_dataloader)
self.nb_val_batches = len(self.val_dataloader)
self.nb_val_batches = int(self.nb_val_batches * self.val_percent_check)
self.nb_val_batches = max(1, self.nb_val_batches)
self.nb_val_batches = self.nb_val_batches
# determine number of test batches
self.nb_test_batches = model.nb_batches(self.test_dataloader)
self.nb_test_batches = len(self.test_dataloader)
self.nb_test_batches = int(self.nb_test_batches * self.test_percent_check)
# determine when to check validation
pytorch_lightning/root_module/root_module.py
-3
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@@ -93,9 +93,6 @@ class LightningModule(GradInformation, ModelIO, OptimizerConfig, ModelHooks):
model_summary = ModelSummary(self)
print(model_summary)
def nb_batches(self, dataloader):
a = math.ceil(float(len(dataloader.dataset) / self.batch_size))
return int(a)
def freeze(self):
for param in self.parameters():