dataset: cub200
data_root: ./data/cub200
image_size: 224

init_cls_num: 20
inc_cls_num: 20
total_cls_num: 200
task_num: 10

init_epoch: 1
epoch: 1
batch_size: 128
val_per_epoch: 1
testing_times: 1
setting: task-agnostic
testing_per_task: true

seed: 2023
n_gpu: 1

class_order: [98, 179, 114, 99, 81, 156, 146, 86, 162, 25,
              31, 166, 77, 178, 136, 183, 135, 187, 45, 59,
              181, 163, 4, 53, 92, 17, 159, 32, 9, 51,
              39, 122, 197, 185, 87, 128, 16, 19, 137, 118,
              127, 7, 189, 193, 60, 27, 148, 18, 174, 35,
              196, 168, 52, 46, 188, 54, 74, 69, 30, 14,
              95, 121, 169, 75, 22, 129, 103, 80, 70, 195,
              72, 34, 40, 106, 175, 56, 171, 125, 198, 71,
              104, 29, 152, 65, 44, 120, 82, 15, 2, 150,
              184, 105, 0, 36, 117, 88, 190, 21, 113, 172,
              55, 116, 89, 12, 144, 153, 62, 119, 139, 11,
              83, 173, 42, 140, 8, 93, 61, 84, 123, 134,
              143, 49, 157, 3, 91, 133, 115, 177, 24, 96,
              85, 164, 109, 110, 26, 5, 37, 76, 167, 57,
              23, 79, 1, 73, 63, 102, 124, 186, 165, 43,
              158, 176, 67, 149, 100, 78, 151, 108, 111, 192,
              33, 13, 180, 170, 130, 10, 64, 161, 94, 154,
              132, 191, 48, 145, 101, 50, 66, 126, 141, 155,
              28, 160, 68, 112, 38, 90, 147, 47, 182, 199,
              20, 58, 107, 131, 142, 194, 97, 138, 6, 41]

train_trfms:
  - Resize:
      size: 256
      interpolation: BICUBIC
  - CenterCrop:
      size: 224
  - ToTensor: {}
  - Normalize:
      mean: [0.5, 0.5, 0.5]
      std: [0.5, 0.5, 0.5]

test_trfms:
  - Resize:
      size: 256
      interpolation: BICUBIC
  - CenterCrop:
      size: 224
  - ToTensor: {}
  - Normalize:
      mean: [0.5, 0.5, 0.5]
      std: [0.5, 0.5, 0.5]

optimizer:
  name: SGD
  kwargs:
    lr: 0.0

lr_scheduler:
  name: Constant

backbone:
  name: timm_backbone
  kwargs:
    pretrained: true
    model_name: vit_base_patch16_224

buffer:
  name: LinearBuffer
  kwargs:
    buffer_size: 0
    batch_size: 128
    strategy: random

classifier:
  name: FlyCL
  kwargs:
    embedding_dim: 768
    expand_dim: 10000
    synaptic_degree: 300
    coding_level: 0.3
    ridge_lower: 6
    ridge_upper: 10
    gcv_backend: dual_eigh
    disable_cudnn: true
    use_projection: true
    use_ridge: true
    total_cls_num: 200
    init_cls_num: 20
    inc_cls_num: 20
    mask_unseen_classes: false