| includes: | |
| - headers/data.yaml | |
| - headers/device.yaml | |
| - headers/model.yaml | |
| - headers/optimizer.yaml | |
| - backbones/resnet12.yaml | |
| image_size: 32 | |
| save_path: ./ | |
| # data | |
| init_cls_num: 10 | |
| inc_cls_num: 10 | |
| task_num: 10 | |
| # init_epoch can be none | |
| init_epoch: 170 #200 | |
| epoch: 170 #170 | |
| device_ids: 2 | |
| n_gpu: 1 | |
| val_per_epoch: 170 | |
| batch_size: 128 | |
| optimizer: | |
| name: SGD | |
| kwargs: | |
| momentum: 0.9 | |
| lr: 0.1 | |
| weight_decay: 2e-4 | |
| lr_scheduler: | |
| name: MultiStepLR | |
| kwargs: | |
| gamma: 0.1 | |
| milestones: [70, 100, 150] | |
| backbone: | |
| name: resnet18 | |
| kwargs: | |
| num_classes: 10 | |
| args: | |
| dataset: cifar100 | |
| buffer: | |
| name: LinearBuffer | |
| kwargs: | |
| buffer_size: 0 # 2000 | |
| batch_size: 32 | |
| strategy: random # random, equal_random, reservoir, herding | |
| classifier: | |
| name: DER | |
| kwargs: | |
| num_class: 100 | |
| feat_dim: 512 | |
| init_cls_num: 10 | |
| inc_cls_num: 10 | |