jobconfig.yaml

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training_model_parameters:
    point_match_loss_weight: 1
    collision_loss_weight: 5
data_module_parameters:
  data_dir: /data
  trajectory_key: 'hybrid_solutions' # Could also use 'global_solutions' for the global expert
  num_obstacle_points: 4096
  num_target_points: 128
  random_scale: 0.015
shared_parameters:
    num_robot_points: 2048
checkpoint_interval: 60
validation_interval: 3000
gpus: 1 # If > 1, will use DDP for training.
batch_size: 10
save_checkpoint_dir: /workspace/mpinets_checkpoints
experiment_name: ExampleTrainingJob
description: "Here is where you put in details about the training job to keep track of what was changed"