# Model type (Options: ["cross_attention", "global_attention", "alternating_attention"])
model_type: "cross_attention"
# Model class type (Options: ["no_intermediate_features", "intermediate_features"])
model_return_type: "intermediate_features"
# Custom positional encoding (Options: ["RoPEfreq"], Callable Function, null)
custom_positional_encoding: "RoPE100"
# Module arguments
module_args:
  # Name of the info sharing module
  name: "base_cat_ifr_dust3r"
  # Number of views
  num_views: 2
  # Indices of the intermediate features to be shared (indices start from 0)
  indices: [5, 8]
  # Normalize intermediate features
  norm_intermediate: False
  # Load CroCo cross-attention transformer for DUSt3R Init
  pretrained_checkpoint_path: '${machine.root_uniception_pretrained_checkpoints_dir}/info_sharing/cross_attn_transformer/Two_View_Cross_Attention_Transformer_CroCo.pth'