model:
  name: DgmrNet
  forecast_steps: 18
  in_channels: 1
  out_channels: 256
  conv_type: "standard"
  num_samples: 6
  grid_lambda: 20.0
  latent_channels: 768
  context_channels: 384
  generation_steps: 1
  num_spatial_frames: 8
data:
  name: "radar"
  root_dir: "./dataset/"
  batch_size: 1
optimizer:
  name: "adam"
  gen_lr: 0.00005
  disc_lr: 0.0002
  beta1: 0.0001
  beta2: 0.999
  loss_scale: 512
summary:
  csi_thresholds: 0.3
  save_checkpoint_epochs: 1
  keep_checkpoint_max: 5
train:
  name: "fp"
  epochs: 20