model:
  decoder:
    _target_: models.diffcsp.cspnet.CSPNet
    hidden_dim: 512
    latent_dim: 0
    max_atoms: 100
    num_layers: 6
    act_fn: silu
    dis_emb: sin
    num_freqs: 128
    edge_style: fc
    max_neighbors: 20
    cutoff: ${model.radius}
    ln: true
    ip: true
  beta_scheduler:
    _target_: models.diffcsp.scheduler.BetaScheduler
    timesteps: ${model.timesteps}
    scheduler_mode: cosine
  sigma_scheduler:
    _target_: models.diffcsp.scheduler.SigmaScheduler
    timesteps: ${model.timesteps}
    sigma_begin: 0.005
    sigma_end: 0.5
  _target_: models.diffcsp.diffusion.DiffCSPModule
  time_dim: 256
  latent_dim: 0
  cost_coord: 1.0
  cost_lattice: 1.0
  cost_type: 20
  max_neighbors: 20
  radius: 7.0
  timesteps: 1000
optim:
  optimizer:
    _target_: torch.optim.Adam
    lr: 0.001
    betas:
    - 0.9
    - 0.999
    eps: 1.0e-08
    weight_decay: 0
  use_lr_scheduler: true
  lr_scheduler:
    _target_: torch.optim.lr_scheduler.ReduceLROnPlateau
    factor: 0.6
    patience: 30
    min_lr: 0.0001