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planner_ckpt/libero_book_planner/config.yaml ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ experiment: libero_book_track_transformer_ep1001
2
+ wandb:
3
+ project: atm_libero
4
+ name: ${now:%m%d}_${experiment}_${now:%H%M}_${hydra:job.num}
5
+ group: ${experiment}
6
+ train_gpus:
7
+ - 0
8
+ - 1
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+ - 2
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+ - 3
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+ - 4
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+ - 5
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+ - 6
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+ - 7
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+ lr: 0.0001
16
+ batch_size: 64
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+ mix_precision: true
18
+ num_workers: 8
19
+ val_freq: 5
20
+ save_freq: 25
21
+ clip_grad: 10.0
22
+ epochs: 1001
23
+ seed: 0
24
+ dry: true
25
+ model_name: TrackTransformer
26
+ p_img: 0.5
27
+ lbd_track: 10.0
28
+ lbd_img: 1.0
29
+ dim: 384
30
+ dim_head: null
31
+ heads: 8
32
+ depth: 8
33
+ img_size: 128
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+ frame_stack: 1
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+ num_track_ts: 16
36
+ num_track_ids: 32
37
+ patch_size: 16
38
+ track_patch_size: 4
39
+ aug_prob: 0.9
40
+ train_dataset:
41
+ - data/planner_dataset/libero_book/STUDY_SCENE3_pick_up_the_book_and_place_it_in_the_right_compartment_of_the_caddy_demo/train/
42
+ - data/planner_dataset/libero_book/STUDY_SCENE1_pick_up_the_book_and_place_it_in_the_left_compartment_of_the_caddy_demo/train/
43
+ - data/planner_dataset/libero_book/STUDY_SCENE1_pick_up_the_book_and_place_it_in_the_right_compartment_of_the_caddy_demo/train/
44
+ - data/planner_dataset/libero_book/STUDY_SCENE2_pick_up_the_book_and_place_it_in_the_right_compartment_of_the_caddy_demo/train/
45
+ - data/planner_dataset/libero_book/STUDY_SCENE2_pick_up_the_book_and_place_it_in_the_left_compartment_of_the_caddy_demo/train/
46
+ - data/planner_dataset/libero_book/STUDY_SCENE2_pick_up_the_book_and_place_it_in_the_front_compartment_of_the_caddy_demo/train/
47
+ - data/planner_dataset/libero_book/STUDY_SCENE2_pick_up_the_book_and_place_it_in_the_back_compartment_of_the_caddy_demo/train/
48
+ - data/planner_dataset/libero_book/STUDY_SCENE3_pick_up_the_book_and_place_it_in_the_front_compartment_of_the_caddy_demo/train/
49
+ - data/planner_dataset/libero_book/STUDY_SCENE1_pick_up_the_book_and_place_it_in_the_front_compartment_of_the_caddy_demo/train/
50
+ - data/planner_dataset/libero_book/STUDY_SCENE2_pick_up_the_book_and_place_it_in_the_left_compartment_of_the_caddy_demo_new/train/
51
+ - data/planner_dataset/libero_book/STUDY_SCENE3_pick_up_the_book_and_place_it_in_the_left_compartment_of_the_caddy_demo/train/
52
+ val_dataset:
53
+ - data/planner_dataset/libero_book/STUDY_SCENE3_pick_up_the_book_and_place_it_in_the_right_compartment_of_the_caddy_demo/val/
54
+ - data/planner_dataset/libero_book/STUDY_SCENE1_pick_up_the_book_and_place_it_in_the_left_compartment_of_the_caddy_demo/val/
55
+ - data/planner_dataset/libero_book/STUDY_SCENE1_pick_up_the_book_and_place_it_in_the_right_compartment_of_the_caddy_demo/val/
56
+ - data/planner_dataset/libero_book/STUDY_SCENE2_pick_up_the_book_and_place_it_in_the_right_compartment_of_the_caddy_demo/val/
57
+ - data/planner_dataset/libero_book/STUDY_SCENE2_pick_up_the_book_and_place_it_in_the_left_compartment_of_the_caddy_demo/val/
58
+ - data/planner_dataset/libero_book/STUDY_SCENE2_pick_up_the_book_and_place_it_in_the_front_compartment_of_the_caddy_demo/val/
59
+ - data/planner_dataset/libero_book/STUDY_SCENE2_pick_up_the_book_and_place_it_in_the_back_compartment_of_the_caddy_demo/val/
60
+ - data/planner_dataset/libero_book/STUDY_SCENE3_pick_up_the_book_and_place_it_in_the_front_compartment_of_the_caddy_demo/val/
61
+ - data/planner_dataset/libero_book/STUDY_SCENE1_pick_up_the_book_and_place_it_in_the_front_compartment_of_the_caddy_demo/val/
62
+ - data/planner_dataset/libero_book/STUDY_SCENE2_pick_up_the_book_and_place_it_in_the_left_compartment_of_the_caddy_demo_new/val/
63
+ - data/planner_dataset/libero_book/STUDY_SCENE3_pick_up_the_book_and_place_it_in_the_left_compartment_of_the_caddy_demo/val/
64
+ optimizer_cfg:
65
+ type: optim.Adam
66
+ params:
67
+ lr: ${lr}
68
+ weight_decay: 0
69
+ scheduler_cfg:
70
+ type: CosineAnnealingLRWithWarmup
71
+ params:
72
+ warmup_lr: 1.0e-05
73
+ warmup_epoch: 5
74
+ T_max: ${epochs}
75
+ model_cfg:
76
+ transformer_cfg:
77
+ use_norm: true
78
+ dim: ${dim}
79
+ dim_head: ${dim_head}
80
+ heads: ${heads}
81
+ depth: ${depth}
82
+ attn_dropout: 0.2
83
+ ff_dropout: 0.2
84
+ track_cfg:
85
+ num_track_ts: ${num_track_ts}
86
+ num_track_ids: ${num_track_ids}
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+ patch_size: ${track_patch_size}
88
+ vid_cfg:
89
+ img_size: ${img_size}
90
+ frame_stack: ${frame_stack}
91
+ patch_size: ${patch_size}
92
+ language_encoder_cfg:
93
+ use_language: true
94
+ network_name: MLPEncoder
95
+ input_size: 768
96
+ hidden_size: 128
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+ num_layers: 1
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+ dataset_cfg:
99
+ img_size: ${img_size}
100
+ frame_stack: ${frame_stack}
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+ num_track_ts: ${num_track_ts}
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+ num_track_ids: ${num_track_ids}
103
+ augment_track: true
104
+ cache_all: true
105
+ cache_image: false
106
+ views:
107
+ - agentview
108
+ - eye_in_hand
planner_ckpt/libero_book_planner/model_best.ckpt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:a682b008ac3a0cfe724410d360f3999c870377fbd0187caebea5e0bf266d52d8
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+ size 26103850
planner_ckpt/libero_butter_planner/config.yaml ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ experiment: libero_butter_track_transformer_ep1001
2
+ wandb:
3
+ project: atm_libero
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+ name: ${now:%m%d}_${experiment}_${now:%H%M}_${hydra:job.num}
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+ group: ${experiment}
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+ train_gpus:
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+ - 0
8
+ - 1
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+ - 2
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+ - 3
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+ - 4
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+ - 5
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+ - 6
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+ - 7
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+ lr: 0.0001
16
+ batch_size: 64
17
+ mix_precision: true
18
+ num_workers: 8
19
+ val_freq: 5
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+ save_freq: 25
21
+ clip_grad: 10.0
22
+ epochs: 1001
23
+ seed: 0
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+ dry: true
25
+ model_name: TrackTransformer
26
+ p_img: 0.5
27
+ lbd_track: 10.0
28
+ lbd_img: 1.0
29
+ dim: 384
30
+ dim_head: null
31
+ heads: 8
32
+ depth: 8
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+ img_size: 128
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+ frame_stack: 1
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+ num_track_ts: 16
36
+ num_track_ids: 32
37
+ patch_size: 16
38
+ track_patch_size: 4
39
+ aug_prob: 0.9
40
+ train_dataset:
41
+ - data/planner_dataset/libero_butter/pick_up_the_butter_and_place_it_in_the_basket_demo/train/
42
+ - data/planner_dataset/libero_butter/pick_up_the_butter_and_place_it_in_the_basket_demo_new/train/
43
+ val_dataset:
44
+ - data/planner_dataset/libero_butter/pick_up_the_butter_and_place_it_in_the_basket_demo/val/
45
+ - data/planner_dataset/libero_butter/pick_up_the_butter_and_place_it_in_the_basket_demo_new/val/
46
+ optimizer_cfg:
47
+ type: optim.Adam
48
+ params:
49
+ lr: ${lr}
50
+ weight_decay: 0
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+ scheduler_cfg:
52
+ type: CosineAnnealingLRWithWarmup
53
+ params:
54
+ warmup_lr: 1.0e-05
55
+ warmup_epoch: 5
56
+ T_max: ${epochs}
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+ model_cfg:
58
+ transformer_cfg:
59
+ use_norm: true
60
+ dim: ${dim}
61
+ dim_head: ${dim_head}
62
+ heads: ${heads}
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+ depth: ${depth}
64
+ attn_dropout: 0.2
65
+ ff_dropout: 0.2
66
+ track_cfg:
67
+ num_track_ts: ${num_track_ts}
68
+ num_track_ids: ${num_track_ids}
69
+ patch_size: ${track_patch_size}
70
+ vid_cfg:
71
+ img_size: ${img_size}
72
+ frame_stack: ${frame_stack}
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+ patch_size: ${patch_size}
74
+ language_encoder_cfg:
75
+ use_language: true
76
+ network_name: MLPEncoder
77
+ input_size: 768
78
+ hidden_size: 128
79
+ num_layers: 1
80
+ dataset_cfg:
81
+ img_size: ${img_size}
82
+ frame_stack: ${frame_stack}
83
+ num_track_ts: ${num_track_ts}
84
+ num_track_ids: ${num_track_ids}
85
+ augment_track: true
86
+ cache_all: true
87
+ cache_image: false
88
+ views:
89
+ - agentview
90
+ - eye_in_hand
planner_ckpt/libero_butter_planner/model_best.ckpt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:fd7c3009e6e4fa12826dd3832822ccb19c1490ae90ec2ab02aad69485bbd76a7
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+ size 26103850
planner_ckpt/libero_chocolate_planner/config.yaml ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ experiment: libero_chocolate_track_transformer_ep1001
2
+ wandb:
3
+ project: atm_libero
4
+ name: ${now:%m%d}_${experiment}_${now:%H%M}_${hydra:job.num}
5
+ group: ${experiment}
6
+ train_gpus:
7
+ - 0
8
+ - 1
9
+ - 2
10
+ - 3
11
+ - 4
12
+ - 5
13
+ - 6
14
+ - 7
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+ lr: 0.0001
16
+ batch_size: 64
17
+ mix_precision: true
18
+ num_workers: 8
19
+ val_freq: 5
20
+ save_freq: 25
21
+ clip_grad: 10.0
22
+ epochs: 1001
23
+ seed: 0
24
+ dry: true
25
+ model_name: TrackTransformer
26
+ p_img: 0.5
27
+ lbd_track: 10.0
28
+ lbd_img: 1.0
29
+ dim: 384
30
+ dim_head: null
31
+ heads: 8
32
+ depth: 8
33
+ img_size: 128
34
+ frame_stack: 1
35
+ num_track_ts: 16
36
+ num_track_ids: 32
37
+ patch_size: 16
38
+ track_patch_size: 4
39
+ aug_prob: 0.9
40
+ train_dataset:
41
+ - data/planner_dataset/libero_chocolate/KITCHEN_SCENE10_put_the_butter_at_the_front_in_the_top_drawer_of_the_cabinet_and_close_it_demo/train/
42
+ - data/planner_dataset/libero_chocolate/KITCHEN_SCENE10_put_the_black_bowl_in_the_top_drawer_of_the_cabinet_demo/train/
43
+ - data/planner_dataset/libero_chocolate/KITCHEN_SCENE10_put_the_chocolate_pudding_in_the_top_drawer_of_the_cabinet_and_close_it_demo/train/
44
+ - data/planner_dataset/libero_chocolate/KITCHEN_SCENE10_put_the_chocolate_pudding_in_the_top_drawer_of_the_cabinet_and_close_it_demo_new/train/
45
+ - data/planner_dataset/libero_chocolate/KITCHEN_SCENE10_close_the_top_drawer_of_the_cabinet_demo/train/
46
+ - data/planner_dataset/libero_chocolate/KITCHEN_SCENE10_close_the_top_drawer_of_the_cabinet_and_put_the_black_bowl_on_top_of_it_demo/train/
47
+ - data/planner_dataset/libero_chocolate/KITCHEN_SCENE10_put_the_butter_at_the_back_in_the_top_drawer_of_the_cabinet_and_close_it_demo/train/
48
+ val_dataset:
49
+ - data/planner_dataset/libero_chocolate/KITCHEN_SCENE10_put_the_butter_at_the_front_in_the_top_drawer_of_the_cabinet_and_close_it_demo/val/
50
+ - data/planner_dataset/libero_chocolate/KITCHEN_SCENE10_put_the_black_bowl_in_the_top_drawer_of_the_cabinet_demo/val/
51
+ - data/planner_dataset/libero_chocolate/KITCHEN_SCENE10_put_the_chocolate_pudding_in_the_top_drawer_of_the_cabinet_and_close_it_demo/val/
52
+ - data/planner_dataset/libero_chocolate/KITCHEN_SCENE10_put_the_chocolate_pudding_in_the_top_drawer_of_the_cabinet_and_close_it_demo_new/val/
53
+ - data/planner_dataset/libero_chocolate/KITCHEN_SCENE10_close_the_top_drawer_of_the_cabinet_demo/val/
54
+ - data/planner_dataset/libero_chocolate/KITCHEN_SCENE10_close_the_top_drawer_of_the_cabinet_and_put_the_black_bowl_on_top_of_it_demo/val/
55
+ - data/planner_dataset/libero_chocolate/KITCHEN_SCENE10_put_the_butter_at_the_back_in_the_top_drawer_of_the_cabinet_and_close_it_demo/val/
56
+ optimizer_cfg:
57
+ type: optim.Adam
58
+ params:
59
+ lr: ${lr}
60
+ weight_decay: 0
61
+ scheduler_cfg:
62
+ type: CosineAnnealingLRWithWarmup
63
+ params:
64
+ warmup_lr: 1.0e-05
65
+ warmup_epoch: 5
66
+ T_max: ${epochs}
67
+ model_cfg:
68
+ transformer_cfg:
69
+ use_norm: true
70
+ dim: ${dim}
71
+ dim_head: ${dim_head}
72
+ heads: ${heads}
73
+ depth: ${depth}
74
+ attn_dropout: 0.2
75
+ ff_dropout: 0.2
76
+ track_cfg:
77
+ num_track_ts: ${num_track_ts}
78
+ num_track_ids: ${num_track_ids}
79
+ patch_size: ${track_patch_size}
80
+ vid_cfg:
81
+ img_size: ${img_size}
82
+ frame_stack: ${frame_stack}
83
+ patch_size: ${patch_size}
84
+ language_encoder_cfg:
85
+ use_language: true
86
+ network_name: MLPEncoder
87
+ input_size: 768
88
+ hidden_size: 128
89
+ num_layers: 1
90
+ dataset_cfg:
91
+ img_size: ${img_size}
92
+ frame_stack: ${frame_stack}
93
+ num_track_ts: ${num_track_ts}
94
+ num_track_ids: ${num_track_ids}
95
+ augment_track: true
96
+ cache_all: true
97
+ cache_image: false
98
+ views:
99
+ - agentview
100
+ - eye_in_hand
planner_ckpt/libero_chocolate_planner/model_best.ckpt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:27c66a5fc2acb53f9cf62eca078e304ef5b63548109f77253ed037ae4fee032c
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+ size 26103850
planner_ckpt/libero_microwave_planner/config.yaml ADDED
@@ -0,0 +1,88 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ experiment: libero_microwave_track_transformer_ep1001
2
+ wandb:
3
+ project: atm_libero
4
+ name: ${now:%m%d}_${experiment}_${now:%H%M}_${hydra:job.num}
5
+ group: ${experiment}
6
+ train_gpus:
7
+ - 0
8
+ - 1
9
+ - 2
10
+ - 3
11
+ - 4
12
+ - 5
13
+ - 6
14
+ - 7
15
+ lr: 0.0001
16
+ batch_size: 64
17
+ mix_precision: true
18
+ num_workers: 8
19
+ val_freq: 5
20
+ save_freq: 25
21
+ clip_grad: 10.0
22
+ epochs: 1001
23
+ seed: 0
24
+ dry: true
25
+ model_name: TrackTransformer
26
+ p_img: 0.5
27
+ lbd_track: 10.0
28
+ lbd_img: 1.0
29
+ dim: 384
30
+ dim_head: null
31
+ heads: 8
32
+ depth: 8
33
+ img_size: 128
34
+ frame_stack: 1
35
+ num_track_ts: 16
36
+ num_track_ids: 32
37
+ patch_size: 16
38
+ track_patch_size: 4
39
+ aug_prob: 0.9
40
+ train_dataset:
41
+ - data/planner_dataset/libero_microwave/KITCHEN_SCENE6_close_the_microwave_demo/train/
42
+ val_dataset:
43
+ - data/planner_dataset/libero_microwave/KITCHEN_SCENE6_close_the_microwave_demo/val/
44
+ optimizer_cfg:
45
+ type: optim.Adam
46
+ params:
47
+ lr: ${lr}
48
+ weight_decay: 0
49
+ scheduler_cfg:
50
+ type: CosineAnnealingLRWithWarmup
51
+ params:
52
+ warmup_lr: 1.0e-05
53
+ warmup_epoch: 5
54
+ T_max: ${epochs}
55
+ model_cfg:
56
+ transformer_cfg:
57
+ use_norm: true
58
+ dim: ${dim}
59
+ dim_head: ${dim_head}
60
+ heads: ${heads}
61
+ depth: ${depth}
62
+ attn_dropout: 0.2
63
+ ff_dropout: 0.2
64
+ track_cfg:
65
+ num_track_ts: ${num_track_ts}
66
+ num_track_ids: ${num_track_ids}
67
+ patch_size: ${track_patch_size}
68
+ vid_cfg:
69
+ img_size: ${img_size}
70
+ frame_stack: ${frame_stack}
71
+ patch_size: ${patch_size}
72
+ language_encoder_cfg:
73
+ use_language: true
74
+ network_name: MLPEncoder
75
+ input_size: 768
76
+ hidden_size: 128
77
+ num_layers: 1
78
+ dataset_cfg:
79
+ img_size: ${img_size}
80
+ frame_stack: ${frame_stack}
81
+ num_track_ts: ${num_track_ts}
82
+ num_track_ids: ${num_track_ids}
83
+ augment_track: true
84
+ cache_all: true
85
+ cache_image: false
86
+ views:
87
+ - agentview
88
+ - eye_in_hand_high
planner_ckpt/libero_microwave_planner/model_best.ckpt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:3d4b70be24f3c0a7b3fa480c6d6eafc1d3a1bc1c2f6924a7109c0538f49d5e31
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+ size 26103850
planner_ckpt/maniskill_placesphere_planner/config.yaml ADDED
@@ -0,0 +1,88 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ experiment: maniskill_placesphere_track_transformer_ep1001
2
+ wandb:
3
+ project: atm_libero
4
+ name: ${now:%m%d}_${experiment}_${now:%H%M}_${hydra:job.num}
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+ group: ${experiment}
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+ train_gpus:
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+ - 0
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+ - 1
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+ - 2
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+ - 3
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+ - 4
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+ - 5
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+ - 6
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+ - 7
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+ lr: 0.0001
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+ batch_size: 64
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+ mix_precision: true
18
+ num_workers: 8
19
+ val_freq: 5
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+ save_freq: 25
21
+ clip_grad: 10.0
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+ epochs: 1001
23
+ seed: 0
24
+ dry: true
25
+ model_name: TrackTransformer
26
+ p_img: 0.5
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+ lbd_track: 10.0
28
+ lbd_img: 1.0
29
+ dim: 384
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+ dim_head: null
31
+ heads: 8
32
+ depth: 8
33
+ img_size: 128
34
+ frame_stack: 1
35
+ num_track_ts: 16
36
+ num_track_ids: 32
37
+ patch_size: 16
38
+ track_patch_size: 4
39
+ aug_prob: 0.9
40
+ train_dataset:
41
+ - data/planner_dataset/maniskill_placesphere/PlaceSphere-v2/train
42
+ val_dataset:
43
+ - data/planner_dataset/maniskill_placesphere/PlaceSphere-v2/val
44
+ optimizer_cfg:
45
+ type: optim.Adam
46
+ params:
47
+ lr: ${lr}
48
+ weight_decay: 0
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+ scheduler_cfg:
50
+ type: CosineAnnealingLRWithWarmup
51
+ params:
52
+ warmup_lr: 1.0e-05
53
+ warmup_epoch: 5
54
+ T_max: ${epochs}
55
+ model_cfg:
56
+ transformer_cfg:
57
+ use_norm: true
58
+ dim: ${dim}
59
+ dim_head: ${dim_head}
60
+ heads: ${heads}
61
+ depth: ${depth}
62
+ attn_dropout: 0.2
63
+ ff_dropout: 0.2
64
+ track_cfg:
65
+ num_track_ts: ${num_track_ts}
66
+ num_track_ids: ${num_track_ids}
67
+ patch_size: ${track_patch_size}
68
+ vid_cfg:
69
+ img_size: ${img_size}
70
+ frame_stack: ${frame_stack}
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+ patch_size: ${patch_size}
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+ language_encoder_cfg:
73
+ use_language: false
74
+ network_name: MLPEncoder
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+ input_size: 768
76
+ hidden_size: 128
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+ num_layers: 1
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+ dataset_cfg:
79
+ img_size: ${img_size}
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+ frame_stack: ${frame_stack}
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+ num_track_ts: ${num_track_ts}
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+ num_track_ids: ${num_track_ids}
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+ augment_track: true
84
+ cache_all: true
85
+ cache_image: false
86
+ views:
87
+ - agentview
88
+ - eye_in_hand
planner_ckpt/maniskill_placesphere_planner/model_best.ckpt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:4ebdc9ddfb6a515c49e592ac265562a8f1431b29de4b66bf60cebd5225231997
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+ size 26103594
planner_ckpt/maniskill_pokecube_planner/config.yaml ADDED
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1
+ experiment: maniskill_pokecube_track_transformer_ep1001
2
+ wandb:
3
+ project: atm_libero
4
+ name: ${now:%m%d}_${experiment}_${now:%H%M}_${hydra:job.num}
5
+ group: ${experiment}
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+ train_gpus:
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+ - 0
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+ - 1
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+ - 2
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+ - 3
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+ lr: 0.0001
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+ batch_size: 64
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+ mix_precision: true
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+ num_workers: 8
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+ val_freq: 5
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+ save_freq: 25
17
+ clip_grad: 10.0
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+ epochs: 1001
19
+ seed: 0
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+ dry: true
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+ model_name: TrackTransformer
22
+ p_img: 0.5
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+ lbd_track: 10.0
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+ lbd_img: 1.0
25
+ dim: 384
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+ dim_head: null
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+ heads: 8
28
+ depth: 8
29
+ img_size: 128
30
+ frame_stack: 1
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+ num_track_ts: 16
32
+ num_track_ids: 32
33
+ patch_size: 16
34
+ track_patch_size: 4
35
+ aug_prob: 0.9
36
+ train_dataset:
37
+ - data/planner_dataset/maniskill_pokecube/PokeCube-v2/train/
38
+ val_dataset:
39
+ - data/planner_dataset/maniskill_pokecube/PokeCube-v2/val/
40
+ optimizer_cfg:
41
+ type: optim.Adam
42
+ params:
43
+ lr: ${lr}
44
+ weight_decay: 0
45
+ scheduler_cfg:
46
+ type: CosineAnnealingLRWithWarmup
47
+ params:
48
+ warmup_lr: 1.0e-05
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+ warmup_epoch: 5
50
+ T_max: ${epochs}
51
+ model_cfg:
52
+ transformer_cfg:
53
+ use_norm: true
54
+ dim: ${dim}
55
+ dim_head: ${dim_head}
56
+ heads: ${heads}
57
+ depth: ${depth}
58
+ attn_dropout: 0.2
59
+ ff_dropout: 0.2
60
+ track_cfg:
61
+ num_track_ts: ${num_track_ts}
62
+ num_track_ids: ${num_track_ids}
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+ patch_size: ${track_patch_size}
64
+ vid_cfg:
65
+ img_size: ${img_size}
66
+ frame_stack: ${frame_stack}
67
+ patch_size: ${patch_size}
68
+ language_encoder_cfg:
69
+ use_language: false
70
+ network_name: MLPEncoder
71
+ input_size: 768
72
+ hidden_size: 128
73
+ num_layers: 1
74
+ dataset_cfg:
75
+ img_size: ${img_size}
76
+ frame_stack: ${frame_stack}
77
+ num_track_ts: ${num_track_ts}
78
+ num_track_ids: ${num_track_ids}
79
+ augment_track: true
80
+ cache_all: true
81
+ cache_image: false
82
+ views:
83
+ - agentview
84
+ - eye_in_hand
planner_ckpt/maniskill_pokecube_planner/model_best.ckpt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:4e25ed43264239239c4c3f2b1a1672ed9c9b7bf325f2684cc73ae6a4226edd69
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+ size 26103850
planner_ckpt/maniskill_pullcubetool_planner/config.yaml ADDED
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1
+ experiment: maniskill_pullcubetool_track_transformer_ep1001
2
+ wandb:
3
+ project: atm_libero
4
+ name: ${now:%m%d}_${experiment}_${now:%H%M}_${hydra:job.num}
5
+ group: ${experiment}
6
+ train_gpus:
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+ - 0
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+ - 1
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+ - 2
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+ - 3
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+ - 4
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+ - 5
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+ - 6
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+ - 7
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+ lr: 0.0001
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+ batch_size: 64
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+ mix_precision: true
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+ num_workers: 8
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+ val_freq: 5
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+ save_freq: 25
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+ clip_grad: 10.0
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+ epochs: 1001
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+ seed: 0
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+ dry: true
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+ model_name: TrackTransformer
26
+ p_img: 0.5
27
+ lbd_track: 10.0
28
+ lbd_img: 1.0
29
+ dim: 384
30
+ dim_head: null
31
+ heads: 8
32
+ depth: 8
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+ img_size: 128
34
+ frame_stack: 1
35
+ num_track_ts: 16
36
+ num_track_ids: 32
37
+ patch_size: 16
38
+ track_patch_size: 4
39
+ aug_prob: 0.9
40
+ train_dataset:
41
+ - data/planner_dataset/maniskill_pullcubetool/PullCubeTool-v2/train
42
+ val_dataset:
43
+ - data/planner_dataset/maniskill_pullcubetool/PullCubeTool-v2/val
44
+ optimizer_cfg:
45
+ type: optim.Adam
46
+ params:
47
+ lr: ${lr}
48
+ weight_decay: 0
49
+ scheduler_cfg:
50
+ type: CosineAnnealingLRWithWarmup
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+ params:
52
+ warmup_lr: 1.0e-05
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+ warmup_epoch: 5
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+ T_max: ${epochs}
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+ model_cfg:
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+ transformer_cfg:
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+ use_norm: true
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+ dim: ${dim}
59
+ dim_head: ${dim_head}
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+ heads: ${heads}
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+ depth: ${depth}
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+ attn_dropout: 0.2
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+ ff_dropout: 0.2
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+ track_cfg:
65
+ num_track_ts: ${num_track_ts}
66
+ num_track_ids: ${num_track_ids}
67
+ patch_size: ${track_patch_size}
68
+ vid_cfg:
69
+ img_size: ${img_size}
70
+ frame_stack: ${frame_stack}
71
+ patch_size: ${patch_size}
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+ language_encoder_cfg:
73
+ use_language: false
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+ network_name: MLPEncoder
75
+ input_size: 768
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+ hidden_size: 128
77
+ num_layers: 1
78
+ dataset_cfg:
79
+ img_size: ${img_size}
80
+ frame_stack: ${frame_stack}
81
+ num_track_ts: ${num_track_ts}
82
+ num_track_ids: ${num_track_ids}
83
+ augment_track: true
84
+ cache_all: true
85
+ cache_image: false
86
+ views:
87
+ - agentview
88
+ - eye_in_hand
planner_ckpt/maniskill_pullcubetool_planner/model_best.ckpt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:3bb9cfdad03c1f4eadafbe5190fd8685429f0a9818457a3f81358e51c82254ae
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+ size 26103850