Fix small bugs
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.gitignore
vendored
4
.gitignore
vendored
@ -103,3 +103,7 @@ main_main.py
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scripts-nas/.nfs00*
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*/.nfs00*
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*.DS_Store
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# logs and snapshots
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output
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logs
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@ -108,11 +108,11 @@ def main_procedure_imagenet(config, data_path, args, genotype, init_channels, la
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for epoch in range(start_epoch, config.epochs):
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scheduler.step()
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need_time = convert_secs2time(epoch_time.val * (config.epochs-epoch), True)
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print_log("\n==>>{:s} [Epoch={:03d}/{:03d}] {:s} LR={:6.4f} ~ {:6.4f}, Batch={:d}".format(time_string(), epoch, config.epochs, need_time, min(scheduler.get_lr()), max(scheduler.get_lr()), config.batch_size), log)
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basemodel.update_drop_path(config.drop_path_prob * epoch / config.epochs)
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need_time = convert_secs2time(epoch_time.val * (config.epochs-epoch), True)
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print_log("\n==>>{:s} [Epoch={:03d}/{:03d}] {:s} LR={:6.4f} ~ {:6.4f}, Batch={:d}, Drop-Path-Prob={:}".format(time_string(), epoch, config.epochs, need_time, min(scheduler.get_lr()), max(scheduler.get_lr()), config.batch_size, basemodel.get_drop_path()), log)
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train_acc1, train_acc5, train_los = _train(train_queue, model, criterion_smooth, optimizer, 'train', epoch, config, args.print_freq, log)
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with torch.no_grad():
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@ -60,14 +60,14 @@ def get_datasets(name, root, cutout):
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else: raise TypeError("Unknow dataset : {:}".format(name))
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if name == 'cifar10':
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train_data = dset.CIFAR10(root, train=True , transform=train_transform, download=True)
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test_data = dset.CIFAR10(root, train=False, transform=test_transform , download=True)
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train_data = dset.CIFAR10 (root, train=True , transform=train_transform, download=True)
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test_data = dset.CIFAR10 (root, train=False, transform=test_transform , download=True)
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elif name == 'cifar100':
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train_data = dset.CIFAR100(root, train=True , transform=train_transform, download=True)
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test_data = dset.CIFAR100(root, train=False, transform=test_transform , download=True)
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elif name == 'imagenet-1k' or name == 'imagenet-100':
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train_data = dset.ImageFolder(osp.join(root, 'train'), train_transform)
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test_data = dset.ImageFolder(osp.join(root, 'val'), train_transform)
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test_data = dset.ImageFolder(osp.join(root, 'val'), test_transform)
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else: raise TypeError("Unknow dataset : {:}".format(name))
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class_num = Dataset2Class[name]
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@ -80,6 +80,9 @@ class NetworkImageNet(nn.Module):
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def update_drop_path(self, drop_path_prob):
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self.drop_path_prob = drop_path_prob
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def get_drop_path(self):
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return self.drop_path_prob
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def auxiliary_param(self):
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if self.auxiliary_head is None: return []
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else: return list( self.auxiliary_head.parameters() )
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