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transforms# Writer will output to ./runs/ directory by defaultwriter=SummaryWriter()transform=transforms.Compose([transforms.ToTensor(),transforms.Normalize((0.5,),(0.5,))])trainset=datasets.MNIST('mnist_train',train=True,download=True,transform=transform)trainloader=torch.utils.data.DataLoader...
I find that you use 2 GPUs to train VeRi, I advice you to train it by one GPU. And I recently found it would be better to set "MODEL.LOSSES.CE.ALPHA=0.8, DATALOADER.NAIVE_WAY=False", you can try it. Moreover, because of the code changes, some setting in the config also need ...
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makeChart("chartdiv", { "type": "serial", "dataLoader": { "url": "json/article.json", "format": "json", "showErrors": true, "noStyles": true, "async": true }, "rotate": false, "marginTop": 10, "categoryField": "year", "categoryAxis": { "gridAlpha": 0.07, "axisColor":...
MNIST(root='./MNIST_DATA_train', train=True, download=True, transform=ToTensor()) def main(): # Prepare data loader train_loader = DataLoader(train_dataset, batch_size=BATCH_SIZE) # Fix the random number generator seeds for reproducibility torch.manual_seed(0) # XLA: Specify...
Based on your experiments, you found that converting labels, ims, im_files and npy_files to bytearrays and np.arrays helped reduce the RAM usage during dataloader iterations. However, you also found that converting to torch.tensor caused an extreme increase in memory usage after a certain numb...
def train(model: nn.Module, train_loader: torch.utils.data.DataLoader, optimizer: Any, epoch: int): """ Train the model """ model.train() for batch_idx, (data, target) in enumerate(train_loader): data, target = data.to(device), target.to(device) ...
(1.0,))] ) # if not exist, download mnist dataset train_set = dset.MNIST(root=root, train=True, transform=trans, download=True) test_set = dset.MNIST(root=root, train=False, transform=trans, download=True) batch_size = 100 train_loader = torch.utils.data.DataLoader( dataset=train_...
--project, save to project/name (default value:'runs/train') --entity, W&B entity (default value:None) --name, save to project/name (default value:'exp') --exist-ok, existing project/name ok, do not increment --quad, quad dataloader ...