mirror of https://github.com/open-mmlab/mmcv.git
Change the epoch runner to use the data_loader from attributes rather than args. (#483)
parent
e92f826abc
commit
17e4732c49
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@ -21,10 +21,10 @@ class EpochBasedRunner(BaseRunner):
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self.model.train()
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self.mode = 'train'
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self.data_loader = data_loader
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self._max_iters = self._max_epochs * len(data_loader)
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self._max_iters = self._max_epochs * len(self.data_loader)
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self.call_hook('before_train_epoch')
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time.sleep(2) # Prevent possible deadlock during epoch transition
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for i, data_batch in enumerate(data_loader):
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for i, data_batch in enumerate(self.data_loader):
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self._inner_iter = i
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self.call_hook('before_train_iter')
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if self.batch_processor is None:
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@ -52,7 +52,7 @@ class EpochBasedRunner(BaseRunner):
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self.data_loader = data_loader
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self.call_hook('before_val_epoch')
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time.sleep(2) # Prevent possible deadlock during epoch transition
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for i, data_batch in enumerate(data_loader):
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for i, data_batch in enumerate(self.data_loader):
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self._inner_iter = i
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self.call_hook('before_val_iter')
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with torch.no_grad():
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