# @package _group_

common:
  fp16: true
  log_format: json
  log_interval: 200
  tensorboard_logdir: tb
  fp16_no_flatten_grads: true

checkpoint:
  save_interval: 5
  save_interval_updates: 25000
  keep_interval_updates: 1
  no_epoch_checkpoints: true

task:
  _name: mae_image_pretraining
  data: /datasets01/imagenet_full_size/061417/
  rebuild_batches: true

dataset:
  num_workers: 6
  batch_size: 64
  skip_invalid_size_inputs_valid_test: true
  required_batch_size_multiple: 1
  disable_validation: true

distributed_training:
  distributed_world_size: 16
  ddp_backend: c10d

criterion:
  _name: model

optimization:
  max_update: 375300
  lr: [0.0006]

optimizer:
  _name: composite
  groups:
    with_decay:
      lr_float: 6e-4
      optimizer:
        _name: adam
        adam_betas: [0.9,0.95]
        weight_decay: 0.05
      lr_scheduler:
        _name: cosine
        warmup_updates: 50040
    no_decay:
      lr_float: 6e-4
      optimizer:
        _name: adam
        adam_betas: [0.9,0.95]
        weight_decay: 0
      lr_scheduler:
        _name: cosine
        warmup_updates: 50040

lr_scheduler: pass_through

model:
  _name: mae