model:
  input_size: 32
  patch_size: 2
  # in_channels: 64
  in_channels: 4
  out_channels: 4
  hidden_size: 1152
  depth: 28
  num_heads: 16
  mlp_ratio: 4.0
  learn_sigma: true
  condition_channels: 2048      # useless here


dataset:
  data_root: /data/kmei1/projects/t1/datasets/super-mario-bros-reinforcement-learning/clips/
  # data_root: /mnt/store/kmei1/projects/t1/datasets/super-mario-bros-reinforcement-learning/clips/
  resolution: 256
  video_length: 17
  latent_scale: 16
  actions: 7


ema_iter: 50
log_every: 10
warmup_steps: 200
global_batch_size: 64
# global_batch_size: 8
learning_rate: 4e-5
iters_to_accumulate: 1      # not support yet
use_t1: true