Loading zoo/monochrome/train_.py +1 −1 Original line number Diff line number Diff line Loading @@ -88,7 +88,7 @@ def train(dataset_dir: str, from_ckpt: Optional[str] = None, train_ratio: float loss_fn = nn.CrossEntropyLoss() optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate) for epoch in range(previous_epoch + 1, max_epochs + 1): for epoch in tqdm(range(previous_epoch + 1, max_epochs + 1)): running_loss = 0.0 for i, (inputs, labels) in enumerate(tqdm(train_dataloader)): inputs = inputs.float() Loading Loading
zoo/monochrome/train_.py +1 −1 Original line number Diff line number Diff line Loading @@ -88,7 +88,7 @@ def train(dataset_dir: str, from_ckpt: Optional[str] = None, train_ratio: float loss_fn = nn.CrossEntropyLoss() optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate) for epoch in range(previous_epoch + 1, max_epochs + 1): for epoch in tqdm(range(previous_epoch + 1, max_epochs + 1)): running_loss = 0.0 for i, (inputs, labels) in enumerate(tqdm(train_dataloader)): inputs = inputs.float() Loading