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  1. config.yaml +599 -0
  2. snapshot_125.pt +3 -0
  3. snapshot_150.pt +3 -0
  4. snapshot_175.pt +3 -0
config.yaml ADDED
@@ -0,0 +1,599 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ root_dir: /mnt/kostas-graid/datasets/extrinsic_contact_data
2
+ replay_buffer_size: 150000
3
+ replay_buffer_num_workers: 2
4
+ nstep: 3
5
+ batch_size: 128
6
+ seed: 0
7
+ dataset_shuffle_seed: ${seed}
8
+ valid_dataset_shuffle_seed: 0
9
+ train_dataset_shuffle_seed: 0
10
+ device: cuda
11
+ save_video: true
12
+ save_train_video: true
13
+ use_tb: true
14
+ use_wandb: true
15
+ wandb_run_id: '55302_0'
16
+ wandb_notes: 55302_0_req_57693_0
17
+ eval: false
18
+ eval_on_sim: true
19
+ eval_on_sim_past_checkpoints: false
20
+ simulation: true
21
+ true_action_history: false
22
+ train_pad_after: 4
23
+ process_contact_features: ${eval}
24
+ obs_type: pixels
25
+ use_color: true
26
+ use_depth: true
27
+ use_masks: false
28
+ mask_list:
29
+ - EE_obj_mask
30
+ mask_representation: channels
31
+ segmentation_model_name: gt_segmentation
32
+ crop_hw:
33
+ - 144
34
+ - 144
35
+ crop_down_offset: 48
36
+ color_crop_type: null
37
+ depth_crop_type: null
38
+ segmask_crop_type: null
39
+ add_crop_binary_mask: false
40
+ add_coord_conv_map: false
41
+ use_context_color: false
42
+ use_context_depth: false
43
+ use_context_segmask: false
44
+ context_color_crop_type: null
45
+ context_depth_crop_type: null
46
+ context_segmask_crop_type: null
47
+ context_add_crop_binary_mask: false
48
+ context_add_coord_conv_map: false
49
+ use_contact_map: false
50
+ use_sdf_maps: false
51
+ use_normals_maps: false
52
+ which_objects: both
53
+ max_contact_prob: 1.0
54
+ max_depth: 2.0
55
+ grasped_dtc_max_value: 0.2
56
+ env_dtc_max_value: 0.4
57
+ grasped_normals_mask_max_dtc_value: 0.2
58
+ env_normals_mask_max_dtc_value: 0.4
59
+ clamp_dtc: true
60
+ dtc_adaptive_normalization: false
61
+ mask_normals_within_sdf: true
62
+ adaptive_normals_mask: true
63
+ learnable_contact_preprocess_params: false
64
+ contact_model_name: gt_contact
65
+ contact_estimation_model_ckpt_path: ~/fish_leon/contact_estimation/artifacts/175604_2/checkpoints/epoch=09-val_loss=0.00.ckpt
66
+ encoder_type: small
67
+ debug_timestamps: false
68
+ open_loop: false
69
+ action_trajectories: true
70
+ stop_after_action: false
71
+ interpolation_frequency: 25
72
+ policy_frequency: 5
73
+ wait_for_new_camera_frames: true
74
+ baseline: false
75
+ use_num_train_epochs_to_determine_lr_schedule: true
76
+ train_demo_idxs_list_or_num: -1
77
+ log_train_every_steps: 25
78
+ name_of_expert_demo: 413_sim_demos_left_of_4th_book_20hz_act
79
+ expert_dataset_dirpath: ${root_dir}/FISH/expert_demos/${suite.name}/${task_name}/${name_of_expert_demo}
80
+ store_dataset_in_memory: false
81
+ expert_dataset: ${expert_dataset_dirpath}/demos.zarr
82
+ action_key: action
83
+ semantic_demo_grouping_name: semantic_demo_grouping.yaml
84
+ semantic_demo_grouping: ${expert_dataset_dirpath}/${semantic_demo_grouping_name}
85
+ include_groups_list: all
86
+ expert_dataset_config: ${expert_dataset_dirpath}/demo_config.yaml
87
+ name_of_valid_demo: 413_sim_demos_left_of_4th_book_20hz_act
88
+ train_num_groups: 380
89
+ valid_dataset_dir: ${root_dir}/FISH/expert_demos/${suite.name}/${task_name}/${name_of_valid_demo}/demos.zarr
90
+ valid_demo_idxs_list_or_num: null
91
+ val_num_groups: 30
92
+ universal_unseen_env_seed_start: 1000000
93
+ load_bc: ${agent.load_checkpoint}
94
+ checkpoint_epoch_list:
95
+ - 99
96
+ - 199
97
+ - 299
98
+ - 399
99
+ - 499
100
+ - 599
101
+ - 699
102
+ - 799
103
+ - 899
104
+ - 999
105
+ - 1249
106
+ - 1499
107
+ - 1749
108
+ - 1999
109
+ - 2999
110
+ - 3999
111
+ - 4999
112
+ - 5999
113
+ - 6999
114
+ - 7999
115
+ - 8999
116
+ - 9999
117
+ snapshot_root_dir: /mnt/grasp_high_usage/leonmkim/contact_estimation/FISH
118
+ save_snapshot: true
119
+ save_last_snapshot: true
120
+ save_snapshot_when_done: true
121
+ top_k_checkpoints: 10
122
+ save_snapshot_link_to_weights_dir: deprecated
123
+ restore_missing_checkpoint: null
124
+ restore_and_eval_all_missing_checkpoints: false
125
+ bc_regularize: false
126
+ bc_weight_type: qfilter
127
+ username: leonmkim
128
+ hostname: grasp-login1
129
+ local_snapshot_root_dir: /mnt/bighdd/fish_contact_backup
130
+ local_snapshot_dir: ${local_snapshot_root_dir}/exp_local/${suite.name}_${obs_type}/${task_name}
131
+ experiment_dir: ./exp_local/${suite.name}_${obs_type}/${task_name}/${wandb_run_id}
132
+ agent:
133
+ _target_: agent.diffusion_policy.DiffusionPolicyAgent
134
+ name: diffusion_policy
135
+ load_checkpoint: ${eval}
136
+ device: ${device}
137
+ n_obs_steps: ${.config.policy_cfg.n_obs_steps}
138
+ suite_name: ${suite.name}
139
+ obs_type: ${obs_type}
140
+ enable_arm: ${eval}
141
+ enable_camera: ${eval}
142
+ use_tb: ${use_tb}
143
+ desired_image_shape:
144
+ - 13
145
+ - 180
146
+ - 240
147
+ orig_cam_shape:
148
+ - 3
149
+ - 240
150
+ - 320
151
+ actions_prenormalized: ${simulation}
152
+ config:
153
+ _target_: agent.diffusion_policy.DiffusionPolicyAgentConfig
154
+ compile: false
155
+ device: ${device}
156
+ cam_resize_shape: ${agent.desired_image_shape}
157
+ orig_cam_shape: ${agent.orig_cam_shape}
158
+ policy_frequency: ${policy_frequency}
159
+ interpolation_frequency: ${interpolation_frequency}
160
+ deterministic_actions: true
161
+ deterministic_actions_seed: 0
162
+ policy_cfg:
163
+ _target_: lerobot.common.policies.diffusion.configuration_diffusion.DiffusionConfig
164
+ n_obs_steps: 1
165
+ horizon: 28
166
+ n_action_steps: ${agent.config.policy_cfg.horizon}
167
+ output_shapes:
168
+ action:
169
+ - 7
170
+ input_normalization_modes:
171
+ observation.image: mean_std
172
+ observation.state: min_max
173
+ observation.action_history: min_max
174
+ output_normalization_modes:
175
+ action: min_max
176
+ vision_backbone: resnet18
177
+ crop_distractors_tlhw: null
178
+ pretrained_backbone_weights: null
179
+ transforms:
180
+ - _target_: torchaug.transforms.RandomAffine
181
+ degrees:
182
+ - -5
183
+ - 5
184
+ translate:
185
+ - 0.05
186
+ - 0.05
187
+ batch_transform: true
188
+ num_chunks: -1
189
+ batch_inplace: true
190
+ - _target_: torchaug.transforms.RandomColorJitter
191
+ brightness: 0.3
192
+ contrast: 0.4
193
+ saturation: 0.5
194
+ hue: 0.08
195
+ batch_transform: true
196
+ num_chunks: -1
197
+ batch_inplace: true
198
+ use_group_norm: true
199
+ spatial_softmax_num_keypoints: 32
200
+ action_history_encoder_config:
201
+ _target_: lerobot.common.policies.diffusion.configuration_diffusion.Unet1dEncoderConfig
202
+ in_channels: 7
203
+ out_channels: 32
204
+ history_length: 4
205
+ kernel_size: ${agent.config.policy_cfg.kernel_size}
206
+ downsample_kernel_size: 3
207
+ downsample_stride: 2
208
+ downsample_padding: 1
209
+ down_dims:
210
+ - 64
211
+ - 128
212
+ - 256
213
+ kernel_size: 5
214
+ n_groups: 8
215
+ diffusion_step_embed_dim: 128
216
+ use_film_scale_modulation: true
217
+ noise_scheduler_type: DDIM
218
+ beta_schedule: squaredcos_cap_v2
219
+ beta_start: 0.0001
220
+ beta_end: 0.02
221
+ prediction_type: epsilon
222
+ clip_sample: true
223
+ clip_sample_range: 1.0
224
+ num_train_timesteps: 50
225
+ num_inference_steps: 10
226
+ do_mask_loss_for_padding: false
227
+ start_horizon_at_current_step: true
228
+ input_shapes:
229
+ observation.image:
230
+ - 13
231
+ - 180
232
+ - 240
233
+ context_observation.image:
234
+ - 13
235
+ - 180
236
+ - 240
237
+ observation.state:
238
+ - 8
239
+ observation.action_history:
240
+ - 7
241
+ train_cfg:
242
+ _target_: utils.TrainConfig
243
+ lr: 0.0001
244
+ lr_scheduler: cosine
245
+ lr_warmup_steps: 500
246
+ adam_betas:
247
+ - 0.95
248
+ - 0.999
249
+ adam_eps: 1.0e-08
250
+ adam_weight_decay: 1.0e-06
251
+ grad_clip_norm: 10
252
+ offline_steps: 337000
253
+ use_amp: true
254
+ optimizer: adamw
255
+ observation_cfg:
256
+ _target_: agent.encoder.VisualFeatureSet
257
+ use_depth: ${use_depth}
258
+ use_color: ${use_color}
259
+ mask_input_dict:
260
+ _target_: agent.encoder.MaskInputDict
261
+ enable: ${use_masks}
262
+ representation: ${mask_representation}
263
+ mask_list: ${mask_list}
264
+ segmentation_model_name: ${segmentation_model_name}
265
+ crop_input_config:
266
+ _target_: agent.encoder.CropInputConfig
267
+ color_crop_type: ${color_crop_type}
268
+ depth_crop_type: ${depth_crop_type}
269
+ segmask_crop_type: ${segmask_crop_type}
270
+ crop_hw: ${crop_hw}
271
+ crop_down_offset: ${crop_down_offset}
272
+ add_crop_binary_mask: ${add_crop_binary_mask}
273
+ add_coord_conv_map: ${add_coord_conv_map}
274
+ context_input_config:
275
+ _target_: agent.encoder.ContextInputConfig
276
+ use_color: ${use_context_color}
277
+ use_depth: ${use_context_depth}
278
+ mask_input_dict:
279
+ _target_: agent.encoder.MaskInputDict
280
+ enable: ${use_context_segmask}
281
+ representation: ${mask_representation}
282
+ mask_list: ${mask_list}
283
+ segmentation_model_name: ${segmentation_model_name}
284
+ crop_input_config:
285
+ _target_: agent.encoder.CropInputConfig
286
+ color_crop_type: ${context_color_crop_type}
287
+ depth_crop_type: ${context_depth_crop_type}
288
+ segmask_crop_type: ${context_segmask_crop_type}
289
+ crop_hw: ${crop_hw}
290
+ crop_down_offset: ${crop_down_offset}
291
+ add_crop_binary_mask: ${context_add_crop_binary_mask}
292
+ add_coord_conv_map: ${context_add_coord_conv_map}
293
+ mask_soft_approx_scheduler_config:
294
+ _target_: agent.encoder.MaskSoftApproxSchedulerConfig
295
+ num_steps: 40000
296
+ initial_value: 10.0
297
+ final_value: 1000.0
298
+ interpolation_scheme: cosine
299
+ use_contact_map: ${use_contact_map}
300
+ use_sdf_maps: ${use_sdf_maps}
301
+ use_normals_maps: ${use_normals_maps}
302
+ which_objects: ${which_objects}
303
+ grasped_dtc_max_value: ${grasped_dtc_max_value}
304
+ env_dtc_max_value: ${env_dtc_max_value}
305
+ grasped_normals_mask_max_dtc_value: ${grasped_normals_mask_max_dtc_value}
306
+ env_normals_mask_max_dtc_value: ${env_normals_mask_max_dtc_value}
307
+ clamp_dtc: ${clamp_dtc}
308
+ max_contact_prob: ${max_contact_prob}
309
+ mask_normals_within_sdf: ${mask_normals_within_sdf}
310
+ dtc_adaptive_normalization: ${dtc_adaptive_normalization}
311
+ adaptive_normals_mask: ${adaptive_normals_mask}
312
+ max_depth: ${max_depth}
313
+ image_shape: ${agent.desired_image_shape}
314
+ learnable_contact_preprocess_params: ${learnable_contact_preprocess_params}
315
+ learning_rate: 0.0001
316
+ weight_decay: 0.0
317
+ contact_model_name: ${contact_model_name}
318
+ zero_centered: false
319
+ crop_distractors_tlhw: ${agent.config.policy_cfg.crop_distractors_tlhw}
320
+ suite:
321
+ suite: frankagym
322
+ name: frankagym
323
+ frame_stack: ${agent.n_obs_steps}
324
+ action_repeat: 1
325
+ discount: 0.99
326
+ hidden_dim: 1024
327
+ num_train_frames: 1000000
328
+ num_seed_frames: 0
329
+ num_train_epochs: 500
330
+ validate_every_epochs: 20
331
+ eval_on_sim_every_epochs: 20
332
+ validate_diffusion_on_action_loss_every_epochs: 20
333
+ eval_on_sim_every_epochs_diffusion: 500
334
+ train_eval_diffusion_on_action_loss_every_epochs: 20
335
+ check_topk_every_epochs: 20
336
+ save_snapshot_every_epochs: 25
337
+ num_seen_eval_envs: 0
338
+ num_unseen_eval_envs: 100
339
+ evals_per_env: 1
340
+ eval_every_frames: 2000
341
+ num_eval_episodes: 5
342
+ save_snapshot: true
343
+ wait_for_user_to_start_episode: true
344
+ task_make_fn:
345
+ _target_: suite.frankagym.make
346
+ name: ${task_name}
347
+ height: 240
348
+ width: 320
349
+ frame_stack: ${suite.frame_stack}
350
+ action_repeat: ${suite.action_repeat}
351
+ seed: ${seed}
352
+ enable_arm: ${agent.enable_arm}
353
+ enable_gripper: ${enable_gripper}
354
+ start_with_gripper_open: ${start_with_gripper_open}
355
+ enable_camera: ${agent.enable_camera}
356
+ path_to_depth_extrinsics: ${path_to_depth_extrinsics}
357
+ contact_estimation_model_ckpt_path: ${contact_estimation_model_ckpt_path}
358
+ x_limit: ${x_limit}
359
+ y_limit: ${y_limit}
360
+ z_limit: ${z_limit}
361
+ device: ${device}
362
+ interpolation_frequency: ${interpolation_frequency}
363
+ policy_frequency: ${policy_frequency}
364
+ debug_timestamps: ${debug_timestamps}
365
+ stop_after_action: ${stop_after_action}
366
+ open_loop: ${open_loop}
367
+ wait_for_new_camera_frames: ${wait_for_new_camera_frames}
368
+ action_key: ${action_key}
369
+ action_trajectory_horizon: ${agent.config.policy_cfg.horizon}
370
+ action_trajectories: ${action_trajectories}
371
+ path_to_zarr_dataset: ${expert_dataset}
372
+ agent_policy_cfg:
373
+ _target_: agent.diffusion_policy.DiffusionPolicyAgentConfig
374
+ compile: false
375
+ device: ${device}
376
+ cam_resize_shape: ${agent.desired_image_shape}
377
+ orig_cam_shape: ${agent.orig_cam_shape}
378
+ policy_frequency: ${policy_frequency}
379
+ interpolation_frequency: ${interpolation_frequency}
380
+ deterministic_actions: true
381
+ deterministic_actions_seed: 0
382
+ policy_cfg:
383
+ _target_: lerobot.common.policies.diffusion.configuration_diffusion.DiffusionConfig
384
+ n_obs_steps: 1
385
+ horizon: 28
386
+ n_action_steps: ${agent.config.policy_cfg.horizon}
387
+ output_shapes:
388
+ action:
389
+ - 7
390
+ input_normalization_modes:
391
+ observation.image: mean_std
392
+ observation.state: min_max
393
+ observation.action_history: min_max
394
+ output_normalization_modes:
395
+ action: min_max
396
+ vision_backbone: resnet18
397
+ crop_distractors_tlhw: null
398
+ pretrained_backbone_weights: null
399
+ transforms:
400
+ - _target_: torchaug.transforms.RandomAffine
401
+ degrees:
402
+ - -5
403
+ - 5
404
+ translate:
405
+ - 0.05
406
+ - 0.05
407
+ batch_transform: true
408
+ num_chunks: -1
409
+ batch_inplace: true
410
+ - _target_: torchaug.transforms.RandomColorJitter
411
+ brightness: 0.3
412
+ contrast: 0.4
413
+ saturation: 0.5
414
+ hue: 0.08
415
+ batch_transform: true
416
+ num_chunks: -1
417
+ batch_inplace: true
418
+ use_group_norm: true
419
+ spatial_softmax_num_keypoints: 32
420
+ action_history_encoder_config:
421
+ _target_: lerobot.common.policies.diffusion.configuration_diffusion.Unet1dEncoderConfig
422
+ in_channels: 7
423
+ out_channels: 32
424
+ history_length: 4
425
+ kernel_size: ${agent.config.policy_cfg.kernel_size}
426
+ downsample_kernel_size: 3
427
+ downsample_stride: 2
428
+ downsample_padding: 1
429
+ down_dims:
430
+ - 64
431
+ - 128
432
+ - 256
433
+ kernel_size: 5
434
+ n_groups: 8
435
+ diffusion_step_embed_dim: 128
436
+ use_film_scale_modulation: true
437
+ noise_scheduler_type: DDIM
438
+ beta_schedule: squaredcos_cap_v2
439
+ beta_start: 0.0001
440
+ beta_end: 0.02
441
+ prediction_type: epsilon
442
+ clip_sample: true
443
+ clip_sample_range: 1.0
444
+ num_train_timesteps: 50
445
+ num_inference_steps: 10
446
+ do_mask_loss_for_padding: false
447
+ start_horizon_at_current_step: true
448
+ input_shapes:
449
+ observation.image:
450
+ - 13
451
+ - 180
452
+ - 240
453
+ context_observation.image:
454
+ - 13
455
+ - 180
456
+ - 240
457
+ observation.state:
458
+ - 8
459
+ observation.action_history:
460
+ - 7
461
+ train_cfg:
462
+ _target_: utils.TrainConfig
463
+ lr: 0.0001
464
+ lr_scheduler: cosine
465
+ lr_warmup_steps: 500
466
+ adam_betas:
467
+ - 0.95
468
+ - 0.999
469
+ adam_eps: 1.0e-08
470
+ adam_weight_decay: 1.0e-06
471
+ grad_clip_norm: 10
472
+ offline_steps: 337000
473
+ use_amp: true
474
+ optimizer: adamw
475
+ observation_cfg:
476
+ _target_: agent.encoder.VisualFeatureSet
477
+ use_depth: ${use_depth}
478
+ use_color: ${use_color}
479
+ mask_input_dict:
480
+ _target_: agent.encoder.MaskInputDict
481
+ enable: ${use_masks}
482
+ representation: ${mask_representation}
483
+ mask_list: ${mask_list}
484
+ segmentation_model_name: ${segmentation_model_name}
485
+ crop_input_config:
486
+ _target_: agent.encoder.CropInputConfig
487
+ color_crop_type: ${color_crop_type}
488
+ depth_crop_type: ${depth_crop_type}
489
+ segmask_crop_type: ${segmask_crop_type}
490
+ crop_hw: ${crop_hw}
491
+ crop_down_offset: ${crop_down_offset}
492
+ add_crop_binary_mask: ${add_crop_binary_mask}
493
+ add_coord_conv_map: ${add_coord_conv_map}
494
+ context_input_config:
495
+ _target_: agent.encoder.ContextInputConfig
496
+ use_color: ${use_context_color}
497
+ use_depth: ${use_context_depth}
498
+ mask_input_dict:
499
+ _target_: agent.encoder.MaskInputDict
500
+ enable: ${use_context_segmask}
501
+ representation: ${mask_representation}
502
+ mask_list: ${mask_list}
503
+ segmentation_model_name: ${segmentation_model_name}
504
+ crop_input_config:
505
+ _target_: agent.encoder.CropInputConfig
506
+ color_crop_type: ${context_color_crop_type}
507
+ depth_crop_type: ${context_depth_crop_type}
508
+ segmask_crop_type: ${context_segmask_crop_type}
509
+ crop_hw: ${crop_hw}
510
+ crop_down_offset: ${crop_down_offset}
511
+ add_crop_binary_mask: ${context_add_crop_binary_mask}
512
+ add_coord_conv_map: ${context_add_coord_conv_map}
513
+ mask_soft_approx_scheduler_config:
514
+ _target_: agent.encoder.MaskSoftApproxSchedulerConfig
515
+ num_steps: 40000
516
+ initial_value: 10.0
517
+ final_value: 1000.0
518
+ interpolation_scheme: cosine
519
+ use_contact_map: ${use_contact_map}
520
+ use_sdf_maps: ${use_sdf_maps}
521
+ use_normals_maps: ${use_normals_maps}
522
+ which_objects: ${which_objects}
523
+ grasped_dtc_max_value: ${grasped_dtc_max_value}
524
+ env_dtc_max_value: ${env_dtc_max_value}
525
+ grasped_normals_mask_max_dtc_value: ${grasped_normals_mask_max_dtc_value}
526
+ env_normals_mask_max_dtc_value: ${env_normals_mask_max_dtc_value}
527
+ clamp_dtc: ${clamp_dtc}
528
+ max_contact_prob: ${max_contact_prob}
529
+ mask_normals_within_sdf: ${mask_normals_within_sdf}
530
+ dtc_adaptive_normalization: ${dtc_adaptive_normalization}
531
+ adaptive_normals_mask: ${adaptive_normals_mask}
532
+ max_depth: ${max_depth}
533
+ image_shape: ${agent.desired_image_shape}
534
+ learnable_contact_preprocess_params: ${learnable_contact_preprocess_params}
535
+ learning_rate: 0.0001
536
+ weight_decay: 0.0
537
+ contact_model_name: ${contact_model_name}
538
+ zero_centered: false
539
+ crop_distractors_tlhw: ${agent.config.policy_cfg.crop_distractors_tlhw}
540
+ true_action_history: ${true_action_history}
541
+ num_train_frames_bc: 50000
542
+ num_train_frames_drq: 1100000
543
+ stddev_schedule_drq: linear(1.0,0.1,100000)
544
+ task_name: FrankaInsertion-v1
545
+ num_train_frames_vinn: 25000
546
+ num_train_frames_diffusion: 1000000
547
+ num_train_epochs_bc: 5000
548
+ num_train_epochs_diffusion: 500
549
+ validate_every_epochs_bc: 5
550
+ validate_every_epochs_diffusion: 20
551
+ validate_diffusion_on_action_loss_every_epochs: 20
552
+ train_eval_diffusion_on_action_loss_every_epochs: 20
553
+ eval_on_sim_every_epochs_diffusion: 20
554
+ check_topk_every_epochs: 5
555
+ check_topk_every_epochs_diffusion: 20
556
+ save_snapshot_every_epochs_diffusion: 25
557
+ x_limit:
558
+ - 0.2
559
+ - 0.7
560
+ y_limit:
561
+ - -0.4
562
+ - 0.4
563
+ z_limit:
564
+ - -0.05
565
+ - 0.55
566
+ home_displacement:
567
+ - 0.55
568
+ - 0.0
569
+ - 0.55
570
+ - 180.0
571
+ - 0.0
572
+ - 0.0
573
+ enable_gripper: true
574
+ start_with_gripper_open: true
575
+ offset_mask:
576
+ - 1
577
+ - 1
578
+ - 1
579
+ - 1
580
+ - 1
581
+ - 1
582
+ path_to_depth_extrinsics: ~/fish_leon/FISH/cfgs/camera_poses/camera_poses_L515/20240904-122305/color_tf_world.npy
583
+ test:
584
+ username: leonmkim
585
+ hostname: grasp-login1
586
+ name_of_expert_demo: 112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act
587
+ root_dir: ~/fish_leon
588
+ expert_dataset_dirpath: ${test.root_dir}/FISH/expert_demos/${suite.name}/${task_name}/${test.name_of_expert_demo}
589
+ expert_dataset: ${test.expert_dataset_dirpath}/demos.zarr
590
+ semantic_demo_grouping_name: semantic_demo_grouping.yaml
591
+ semantic_demo_grouping: ${test.expert_dataset_dirpath}/${test.semantic_demo_grouping_name}
592
+ include_groups_list: all
593
+ batch_size: 128
594
+ store_dataset_in_memory: false
595
+ use_tb: true
596
+ local_snapshot_root_dir: /mnt/bighdd/fish_contact_backup
597
+ local_snapshot_dir: ${test.local_snapshot_root_dir}/exp_local/${suite.name}_${obs_type}/${task_name}
598
+ resume_wandb_run: false
599
+ feature_type: 180x240_1_RGB_D_2.0_acthist_hst4_out32_dwnkrnl3_dwnstrd2_dwnpd1
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+ size 192438375
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