model/configs/inference_old.yaml

# Configuration for inference on SE(3) diffusion experiments.
defaults:
  - base
  - _self_

inference:

  # Use this to write with date-time stamp.
  name: run_${now:%Y-%m-%d}_${now:%H-%M}
  seed: 123
  ckpt_path: ckpt/se3-fm/dnmt-unconditioned/2024-07-10_15-14-28/epoch=89-step=154530.ckpt
  output_dir: inference_outputs/dnmt-unconditioned/

  use_gpu: True
  num_gpus: 1

  interpolant:
    min_t: 1e-2
    rots:
      corrupt: True
      sample_schedule: exp
      exp_rate: 10
    trans:
      corrupt: True
      sample_schedule: linear
    sampling:
      num_timesteps: 100
    self_condition: True

  samples:

    # Number of backbone samples per sequence length.
    samples_per_length: 10

    # Minimum sequence length to sample.
    min_length: 60

    # Maximum sequence length to sample.
    max_length: 128

    # gap between lengths to sample. i.e. this script will sample all lengths
    # in range(min_length, max_length, length_step)
    length_step: 1

    # Subset of lengths to sample. If null, sample all targets.
    length_subset: [60, 70, 80, 90, 100, 112, 128, 156, 196, 212, 256]

    overwrite: False