root_setting.yaml

# this is the root setting of all setting and will be loaded in first place
# the loading sequence is root_setting -> specific setting
# -> manully overided setting -> computed setting  in finalize_config() 
# which means access config before finalize can be dangerous
# always remember to add a space after :

setting_name: base
test_dataset_type: null
clip_size: 8
var_clip_size: -1

model:
  teacher: null
  pretrained: null
  fc_weight: null
  fc_bias: null
  patch:
    name: null
    fc_only: false
  feat_type: image
  tester: null
  tester_path: null
  tester_data_mode: null
  decodec:
    reg_loss_type: l1
    feat_loss_func: l1
    dis_model: basic
    gan_type: vanilla
  inco:
    kernel_size: 1
    pool_ref_type: sum
    temp_kernel_size: 3
    spatial_sizes: []
    spatial_count: 0
    no_time_pool: false
    keep_stride_count: 0
    i3d_routine: true
    SOLVER: 
      BASE_LR: 0.1
      LR_POLICY: cosine
      MAX_EPOCH: 196
      MOMENTUM: 0.9
      WEIGHT_DECAY: 1e-4
      WARMUP_EPOCHS: 34.0
      WARMUP_START_LR: 0.01
      OPTIMIZING_METHOD: sgd
  transformer:
    patch_type: null #time,spatial,all
    dim: -1
    stop_point: 6
    random_select: true
    k: 8
    sigmoid_before: false
  denoise:
    layers: []

test_on_train: false

test: false
debug: false
pre_load_data: false
# for better compatiable with philly and potential running enviroment
# all path under path should be rel_path w.r.t the config.py
# and the abspath will be compute when finalize

# python -m torch.distributed.launch  --nproc_per_node=2 main.py  --setting get_all_datas_id_emb_old.yaml main.py
# --config trainer.default.log_step=1 trainer.default.sample_step=20

trash_face: false

strategies: []
branches: ["continuous_same","continuous_diff","discontinuous"]
epoch: -1

reg_weight: 10
class_weight: 1
final_weight: 1
feat_weight: 0
gan_weight: 0

noise_only: false
error_only: false
force_ds_scale: 1.0

path:
 model_dir: ../checkpoint
 pretrain_dir: ../pretrain
 log_dir: ../checkpoint
 data_dir: ../data
 precomputed_dir: ../precomputed
 test_data_dir: null
 extra_data_dir: ../extra_data
 lmdb_dir: null

patch_input: false
input_noise: false
mask_direct: false
max_to_keep: 50
base_count: -1
enable_lmdb_cache: false

aug_in_train: true
aug_in_test: false
vis_in_train: true

data_mode: "image"
data_source: "zip"

aug:
 flip_prob: 0
 reverse_prob: 0
 gray_prob: 0
 size_aug_prob: 0
 quantify_prob: 0
 quantify_steps: [16,32]
 min_size: 64
 max_size: 256
 jpeg_aug_prob: 0
 dxy_gauss_prob: 0
 dxy_gauss_scale: 0
 min_quality: 60
 max_quality: 100
 gaussain: false
 need_img_degrade: true
 need_mask_distortion: true
 need_color_match: true
 feather_range: [0.2,0.2]
 adaptive_clip_size: false
 clip_sizes: null
 cutout: 0
 earse: 0
 types: null
 earse_type: null
 time_earse_prob: 0
 time_earse_type: null
 jitter_prob: 0
 test_types: null
 raw_prob: 0
 bi_types: null
 bi_count: 1
 face_sources: null
 inplace_types: null
 no_poisson_prob: 0
 blend:
  pseudo_prob: 0.5
  from_real_prob: 1
  skip_prob: 0
  shuffle_prob: 0
  multi_prob: 0
  multi_config:
    from_real_prob: 1
    self_prob: 1
    self:
      one: 0
      continuity: 1
    other:
      one: 0
      all: 0
      continuity: 1
  celeb_prob: 0
  fft:
    type: null
  fad:
    type: null
    flag: high
  tta:
    type: null
    param: null


batch_size: 64
test_batch_size: 64
imsize: 256
next_frame_rate: 0.5
trainer:
 default:
  apex_option: O0
  n_worker: 12
  optim: adam
  model_save_step: 1000
  log_step: 25
  sample_step: 1000
  init_lr: 3e-4
  validation_step: 5000
  test_sample_step: 20
  one_test_step: 500
  test_freq: 1
  total_step: 100000
  lr_step: 20000
  freeze_backbone_step: 0
  total_epoch: 200
fetch_method: prefetch