data: root_dir: '' tasks: - pick num_points: 2048 num_object_points: 1024 cam_coord: false num_rotations: 64 grid_resolution: 0.01 jitter_scale: 0.0 contact_radius: 0.005 dist_above_table: 0.002 robot_prob: 1.0 offset_bins: - 0 - 0.00794435329 - 0.0158887021 - 0.0238330509 - 0.0317773996 - 0.0397217484 - 0.0476660972 - 0.055610446 - 0.0635547948 - 0.0714991435 - 0.08 random_seed: -1 rotation_augmentation: false add_depth_noise: false downsample_points: false downsample_to_fixed_batch_size: false dataset_cls: ObjectPickDataset load_patch: false load_discriminator_dataset: false patch_width: 256 prob_point_cloud: -1 object_root_dir: '' grasp_root_dir: '' dataset_name: acronym dataset_version: v1 gripper_name: robotiq_2f_140 num_grasps_per_object: 1000 load_contact: false prefiltering: false discriminator_ratio: - 0.5 - 0.2 - 0.25 - 0.05 - 0.0 visualize_batch: false onpolicy_dataset_dir: null onpolicy_dataset_h5_path: null redundancy: 1 preload_dataset: false m2t2: scene_encoder: type: pointnet2_msg num_points: 16384 downsample: 4 radius: 0.02 radius_mult: 2 use_rgb: false object_encoder: type: pointnet2_msg_cls num_points: 1024 downsample: 4 radius: 0.02 radius_mult: 2 use_rgb: false contact_decoder: mask_feature: res0 in_features: - res1 - res2 - res3 place_feature: res4 embed_dim: 256 feedforward_dim: 512 num_scales: 3 num_layers: 3 num_heads: 8 num_grasp_queries: 1000 num_place_queries: 0 use_attn_mask: true use_task_embed: false activation: GELU pos_enc: new action_decoder: use_embed: false conf_thresh: 0.5 max_num_pred: null hidden_dim: 256 num_layers: 2 activation: GELU offset_bins: - 0 - 0.00794435329 - 0.0158887021 - 0.0238330509 - 0.0317773996 - 0.0397217484 - 0.0476660972 - 0.055610446 - 0.0635547948 - 0.0714991435 - 0.08 gripper_depth: 0.1034 gripper_name: robotiq_2f_140 matcher: object_weight: 2.0 bce_weight: 5.0 dice_weight: 5.0 grasp_loss: object_weight: 2.0 not_object_weight: 0.1 pseudo_ce_weight: 0.0 bce_topk: 512 bce_weight: 5.0 dice_weight: 5.0 deep_supervision: true recompute_indices: true adds_pred2gt: 100.0 adds_gt2pred: 0.0 adds_per_obj: false contact_dir: 0.0 approach_dir: 0.0 offset: 1.0 offset_bin_weights: - 0.16652107 - 0.21488856 - 0.37031708 - 0.55618503 - 0.75124664 - 0.93943357 - 1.07824539 - 1.19423112 - 1.55731375 - 3.17161779 gripper_name: robotiq_2f_140 place_loss: bce_topk: 1024 bce_weight: 5.0 dice_weight: 5.0 deep_supervision: true diffusion: obs_backbone: pointnet checkpoint_object_encoder_pretrained: null num_embed_dim: 256 num_obs_dim: 512 diffusion_embed_dim: 512 image_size: 256 num_diffusion_iters: 10 num_diffusion_iters_eval: 10 compositional_schedular: true loss_pointmatching: false loss_l1_pos: true loss_l1_rot: true grasp_repr: r3_so3 kappa: 2.02217 clip_sample: true beta_schedule: squaredcos_cap_v2 npn_architecture: ffn attention: cat_attn gripper_name: robotiq_2f_140 pose_repr: mlp num_grasps_per_object: 500 ptv3: grid_size: 0.01 discriminator: checkpoint: graspgen_robotiq_2f_140_dis.pth checkpoint_object_encoder_pretrained: null obs_backbone: pointnet num_embed_dim: 256 num_obs_dim: 512 grasp_repr: r3_so3 pose_repr: mlp topk_ratio: 0.75 kappa: 2.02217 gripper_name: robotiq_2f_140 ptv3: grid_size: 0.01 optimizer: type: ADAMW base_batch_size: 128 base_lr: 0.0008 backbone_multiplier: 1.0 grad_clip: -1 weight_decay: 0.05 lr_scale_multiplier: 1.0 lr: 5.0e-05 momentum: 0.9 train: model_name: m2t2 num_gpus: 1 port: '1234' mask_thresh: 0.0 batch_size: 8 num_workers: 8 num_epochs: 160 print_freq: 25 plot_freq: 50 save_freq: 10 eval_freq: 5 checkpoint: null log_dir: '' num_scenes: null debug: false debug_ddp: false eval: model_name: diffusion-discriminator task: pick split: valid first_scene: -1 last_scene: 1000 scene: null acronym_dir: '' checkpoint: graspgen_robotiq_2f_140_gen.pth output_dir: null exp_name: null cam_coord: false object_thresh: 0.0 mask_thresh: 0.6 seed_thresh: null num_seed_grasps: 150 max_num_grasps: 200 retract: 0.0 grid_res: 0.01 placement_height: 0.02 placement_vis_radius: 0.2 batch_size: 1 num_workers: 1 print_freq: 1 num_procs: 4 num_vis: 5 num_runs: 1 debug: true scene_file: '' output_file: '' meshcat: visualize: true point_size: 0.01 line_width: 2 obj: scale: 1.0 num_sample_points: 2024