junhyekh commited on
Commit
9fc575b
·
verified ·
1 Parent(s): 90d4974

Upload experiments/untimed_path/run-001

Browse files
Files changed (22) hide show
  1. .gitattributes +1 -0
  2. experiments/untimed_path/run-001/ckpt/best.pt +3 -0
  3. experiments/untimed_path/run-001/ckpt/latest.pt +3 -0
  4. experiments/untimed_path/run-001/ckpt/step_0002000.pt +3 -0
  5. experiments/untimed_path/run-001/ckpt/step_0004000.pt +3 -0
  6. experiments/untimed_path/run-001/ckpt/step_0006000.pt +3 -0
  7. experiments/untimed_path/run-001/ckpt/step_0008000.pt +3 -0
  8. experiments/untimed_path/run-001/ckpt/step_0010000.pt +3 -0
  9. experiments/untimed_path/run-001/config.yaml +165 -0
  10. experiments/untimed_path/run-001/training_log.jsonl +220 -0
  11. experiments/untimed_path/run-001/wandb/debug-internal.log +0 -0
  12. experiments/untimed_path/run-001/wandb/debug.log +25 -0
  13. experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/files/config.yaml +278 -0
  14. experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/files/output.log +237 -0
  15. experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/files/requirements.txt +273 -0
  16. experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/files/wandb-metadata.json +97 -0
  17. experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/files/wandb-summary.json +0 -0
  18. experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/logs/debug-core.log +19 -0
  19. experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/logs/debug-internal.log +0 -0
  20. experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/logs/debug.log +25 -0
  21. experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/run-yd62b5rt.wandb +3 -0
  22. experiments/untimed_path/run-001/wandb_run_id.txt +1 -0
.gitattributes CHANGED
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
  experiments/untimed_path/run-000/wandb/run-20260508_174637-7ocxhtcg/run-7ocxhtcg.wandb filter=lfs diff=lfs merge=lfs -text
 
 
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
  experiments/untimed_path/run-000/wandb/run-20260508_174637-7ocxhtcg/run-7ocxhtcg.wandb filter=lfs diff=lfs merge=lfs -text
37
+ experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/run-yd62b5rt.wandb filter=lfs diff=lfs merge=lfs -text
experiments/untimed_path/run-001/ckpt/best.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:970f359f7943b10cda20c2f215a1ce36cd311ab5afc475cc2c74ad59b29fcdf4
3
+ size 156431826
experiments/untimed_path/run-001/ckpt/latest.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:efd7e2359709ff033fbc3b7cd81468d05b3babc413ae2fc3fadc1b7e225c7823
3
+ size 156450716
experiments/untimed_path/run-001/ckpt/step_0002000.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f09f8ea872dee2dcf31f3fb957e8a831d48ee9cffc95421955f7e6a52f6610a9
3
+ size 156458426
experiments/untimed_path/run-001/ckpt/step_0004000.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:68ae82324787e74d01a200fedaecb35b65cb0574e7ee61e10f7e9d7202873fbf
3
+ size 156458426
experiments/untimed_path/run-001/ckpt/step_0006000.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8231935fcf628c0e34b8b893a7172bcf47f7215e15f01c0c9f23b4e4c00397f4
3
+ size 156458426
experiments/untimed_path/run-001/ckpt/step_0008000.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3de9b04f343ef69c02eac2f78fd44d5bdc8db0c3cfc86d01b7540629e628c2a1
3
+ size 156458426
experiments/untimed_path/run-001/ckpt/step_0010000.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9dc528c0ba7943a93b72a4d75690b5fd4622a984813548e126d133a769a9de68
3
+ size 156458426
experiments/untimed_path/run-001/config.yaml ADDED
@@ -0,0 +1,165 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ dataset:
2
+ K_max: 256
3
+ K_min: 2
4
+ anchor_annotation_sigma: 0.1
5
+ h5_path: data/LS_HighStep0_1_augmented/preprocessed.h5
6
+ include_segment_types:
7
+ - effector_first
8
+ - effector_mid
9
+ - effector_last
10
+ - root
11
+ - no_contact_ee
12
+ min_segment_length_m: 0.1
13
+ preparation:
14
+ dedup_enabled: true
15
+ min_velocity_m_s: 2.0
16
+ skip_degenerate: true
17
+ spline:
18
+ cp_spacing_m: 0.25
19
+ degree: 3
20
+ max_cp: 16
21
+ min_cp: 4
22
+ target_spacing_m: 0.05
23
+ val_fraction: 0.1
24
+ field_cfg:
25
+ attractor_tau: 0.1
26
+ d_attn: 128
27
+ d_track: 16
28
+ fourier_num_freq: 5
29
+ mlp_depth: 4
30
+ mlp_hidden: 256
31
+ num_tracks: 5
32
+ scene:
33
+ crop_radius: 1.5
34
+ grid_size: 0.03
35
+ litept:
36
+ base_feature: occupancy
37
+ cond_dim: 0
38
+ cond_mode: adaln
39
+ dec_attn:
40
+ - false
41
+ - false
42
+ - false
43
+ - false
44
+ dec_channels:
45
+ - 72
46
+ - 72
47
+ - 144
48
+ - 252
49
+ dec_conv:
50
+ - false
51
+ - false
52
+ - false
53
+ - false
54
+ dec_depths:
55
+ - 0
56
+ - 0
57
+ - 0
58
+ - 0
59
+ dec_num_head:
60
+ - 4
61
+ - 4
62
+ - 8
63
+ - 14
64
+ dec_patch_size:
65
+ - 1024
66
+ - 1024
67
+ - 1024
68
+ - 1024
69
+ dec_rope_freq:
70
+ - 100.0
71
+ - 100.0
72
+ - 100.0
73
+ - 100.0
74
+ drop_path: 0.1
75
+ enc_attn:
76
+ - false
77
+ - false
78
+ - false
79
+ - true
80
+ - true
81
+ enc_channels:
82
+ - 36
83
+ - 72
84
+ - 144
85
+ - 252
86
+ - 504
87
+ enc_conv:
88
+ - true
89
+ - true
90
+ - true
91
+ - false
92
+ - false
93
+ enc_depths:
94
+ - 2
95
+ - 2
96
+ - 2
97
+ - 6
98
+ - 2
99
+ enc_mode: false
100
+ enc_num_head:
101
+ - 2
102
+ - 4
103
+ - 8
104
+ - 14
105
+ - 28
106
+ enc_patch_size:
107
+ - 1024
108
+ - 1024
109
+ - 1024
110
+ - 1024
111
+ - 1024
112
+ enc_rope_freq:
113
+ - 100.0
114
+ - 100.0
115
+ - 100.0
116
+ - 100.0
117
+ - 100.0
118
+ in_features: 5
119
+ mlp_ratio: 4.0
120
+ order:
121
+ - z
122
+ - z-trans
123
+ out_features: 256
124
+ shuffle_orders_eval: true
125
+ shuffle_orders_train: true
126
+ stride:
127
+ - 2
128
+ - 2
129
+ - 2
130
+ - 2
131
+ loss:
132
+ huber_delta: 0.05
133
+ weight_mag: 0.01
134
+ weight_p2l_fwd: 0.0
135
+ weight_p2l_rev: 0.0
136
+ weight_p2p: 10.0
137
+ n_limit: null
138
+ rollout:
139
+ M: 3
140
+ dagger_sigma: 0.025
141
+ delta_s: 0.05
142
+ rollouts_per_item: 2
143
+ start_from_p_minus_prob: 0.25
144
+ train:
145
+ aug_pc_dropout: 0.1
146
+ aug_yaw: true
147
+ batch_size: 128
148
+ checkpoint_every_steps: 2000
149
+ drop_last: true
150
+ eval_delta_s: 0.05
151
+ eval_max_steps: 256
152
+ eval_n_trajectories: 16
153
+ log_every_steps: 50
154
+ lr: 0.0003
155
+ max_steps: 10000
156
+ monitor_every_steps: 500
157
+ num_workers: 32
158
+ output_dir: experiments/untimed_path
159
+ show_progress: true
160
+ use_wandb: true
161
+ wandb_entity: null
162
+ wandb_project: genplan_contact_plan
163
+ wandb_run_name: window_ls_highstep0_1
164
+ warmup_steps: 1000
165
+ weight_decay: 0.01
experiments/untimed_path/run-001/training_log.jsonl ADDED
@@ -0,0 +1,220 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"L_p2p": 0.0028769751079380512, "L_mag": 0.8272989988327026, "L": 0.03704274073243141, "step": 50, "lr": 1.4999999999999999e-05, "elapsed_s": 189.74872398376465}
2
+ {"L_p2p": 0.002543571637943387, "L_mag": 0.6426911950111389, "L": 0.03186262771487236, "step": 100, "lr": 2.9999999999999997e-05, "elapsed_s": 362.39144802093506}
3
+ {"L_p2p": 0.0017351382412016392, "L_mag": 0.03974202275276184, "L": 0.01774880290031433, "step": 150, "lr": 4.4999999999999996e-05, "elapsed_s": 534.306921005249}
4
+ {"L_p2p": 0.001770262373611331, "L_mag": 0.043370820581912994, "L": 0.01813633181154728, "step": 200, "lr": 5.9999999999999995e-05, "elapsed_s": 714.7575254440308}
5
+ {"L_p2p": 0.0017229297664016485, "L_mag": 0.04638868570327759, "L": 0.017693184316158295, "step": 250, "lr": 7.5e-05, "elapsed_s": 886.6319034099579}
6
+ {"L_p2p": 0.0016375966370105743, "L_mag": 0.03656613826751709, "L": 0.01674162968993187, "step": 300, "lr": 8.999999999999999e-05, "elapsed_s": 1059.2803235054016}
7
+ {"L_p2p": 0.0015692815650254488, "L_mag": 0.032729633152484894, "L": 0.016020111739635468, "step": 350, "lr": 0.00010499999999999999, "elapsed_s": 1243.7167916297913}
8
+ {"L_p2p": 0.0014766983222216368, "L_mag": 0.044612616300582886, "L": 0.015213108621537685, "step": 400, "lr": 0.00011999999999999999, "elapsed_s": 1416.4774465560913}
9
+ {"L_p2p": 0.0014657452702522278, "L_mag": 0.024458978325128555, "L": 0.014902042225003242, "step": 450, "lr": 0.000135, "elapsed_s": 1589.8867402076721}
10
+ {"L_p2p": 0.0016383957117795944, "L_mag": 0.03673917055130005, "L": 0.016751348972320557, "step": 500, "lr": 0.00015, "elapsed_s": 1770.7086207866669}
11
+ {"drift_mean": 0.30780065804719925, "drift_p50": 0.37014561891555786, "drift_p90": 0.4267514795064926, "drift_p95": 0.4282829612493515, "drift_max": 0.43007999658584595, "hausdorff_mean": 0.32431330578401685, "hausdorff_p50": 0.3752714991569519, "hausdorff_p90": 0.4775553494691849, "hausdorff_p95": 0.49430670589208603, "hausdorff_max": 0.5385597348213196, "type_root/n": 3.0, "type_root/drift_mean": 0.4079923729101817, "type_root/hausdorff_mean": 0.38289788365364075, "type_root/hausdorff_p90": 0.4118404686450958, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.28328894078731537, "type_effector_mid/hausdorff_mean": 0.2921525153021018, "type_effector_mid/hausdorff_p90": 0.4865971654653549, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.22940024236838022, "type_effector_last/hausdorff_mean": 0.18111804127693176, "type_effector_last/hausdorff_p90": 0.24655967354774475, "step": 500, "event": "monitor"}
12
+ {"L_p2p": 0.001389168668538332, "L_mag": 0.03500160202383995, "L": 0.014241702854633331, "step": 550, "lr": 0.000165, "elapsed_s": 1968.2391986846924}
13
+ {"L_p2p": 0.0012954125413671136, "L_mag": 0.035744111984968185, "L": 0.013311566784977913, "step": 600, "lr": 0.00017999999999999998, "elapsed_s": 2140.989913702011}
14
+ {"L_p2p": 0.0013319691643118858, "L_mag": 0.025518279522657394, "L": 0.013574874959886074, "step": 650, "lr": 0.000195, "elapsed_s": 2315.700175523758}
15
+ {"L_p2p": 0.001196388155221939, "L_mag": 0.023345064371824265, "L": 0.012197332456707954, "step": 700, "lr": 0.00020999999999999998, "elapsed_s": 2498.789483308792}
16
+ {"L_p2p": 0.0012309032026678324, "L_mag": 0.032690949738025665, "L": 0.012635940685868263, "step": 750, "lr": 0.000225, "elapsed_s": 2672.416245698929}
17
+ {"L_p2p": 0.0011603592429310083, "L_mag": 0.03081691823899746, "L": 0.01191176287829876, "step": 800, "lr": 0.00023999999999999998, "elapsed_s": 2844.7388384342194}
18
+ {"L_p2p": 0.0011649886146187782, "L_mag": 0.033018674701452255, "L": 0.011980072595179081, "step": 850, "lr": 0.00025499999999999996, "elapsed_s": 3030.967164516449}
19
+ {"L_p2p": 0.0011811028234660625, "L_mag": 0.03398950397968292, "L": 0.012150922790169716, "step": 900, "lr": 0.00027, "elapsed_s": 3214.690763235092}
20
+ {"L_p2p": 0.0012531836982816458, "L_mag": 0.035852186381816864, "L": 0.01289035938680172, "step": 950, "lr": 0.000285, "elapsed_s": 3398.902037382126}
21
+ {"L_p2p": 0.0012071826495230198, "L_mag": 0.030191194266080856, "L": 0.01237373799085617, "step": 1000, "lr": 0.0003, "elapsed_s": 3582.4354519844055}
22
+ {"drift_mean": 0.8176013007760048, "drift_p50": 0.8066183030605316, "drift_p90": 1.0348631143569946, "drift_p95": 1.0430998504161835, "drift_max": 1.0463377237319946, "hausdorff_mean": 0.27385684102773666, "hausdorff_p50": 0.2364070788025856, "hausdorff_p90": 0.41618485748767853, "hausdorff_p95": 0.46948548406362534, "hausdorff_max": 0.6185345649719238, "type_root/n": 3.0, "type_root/drift_mean": 1.0386879841486614, "type_root/hausdorff_mean": 0.22741050521532694, "type_root/hausdorff_p90": 0.24480026066303254, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.7495862543582916, "type_effector_mid/hausdorff_mean": 0.2908472629884879, "type_effector_mid/hausdorff_p90": 0.5066330879926682, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.6999666293462118, "type_effector_last/hausdorff_mean": 0.15360868722200394, "type_effector_last/hausdorff_p90": 0.2036213457584381, "step": 1000, "event": "monitor"}
23
+ {"L_p2p": 0.0011176669504493475, "L_mag": 0.027319448068737984, "L": 0.011449863202869892, "step": 1050, "lr": 0.0002999771542734587, "elapsed_s": 3800.4019360542297}
24
+ {"L_p2p": 0.000998956267721951, "L_mag": 0.025247987359762192, "L": 0.010242043063044548, "step": 1100, "lr": 0.00029990862405286433, "elapsed_s": 3981.133543252945}
25
+ {"L_p2p": 0.001023638527840376, "L_mag": 0.029185336083173752, "L": 0.01052823942154646, "step": 1150, "lr": 0.000299794430213186, "elapsed_s": 4162.483858823776}
26
+ {"L_p2p": 0.0010715643875300884, "L_mag": 0.029771894216537476, "L": 0.011013361625373363, "step": 1200, "lr": 0.0002996346075389736, "elapsed_s": 4339.775308847427}
27
+ {"L_p2p": 0.0010381177999079227, "L_mag": 0.024965763092041016, "L": 0.010630834847688675, "step": 1250, "lr": 0.0002994292047137618, "elapsed_s": 4523.148782253265}
28
+ {"L_p2p": 0.0009898971766233444, "L_mag": 0.0185700710862875, "L": 0.010084673762321472, "step": 1300, "lr": 0.00029917828430524096, "elapsed_s": 4698.513365507126}
29
+ {"L_p2p": 0.0009720964590087533, "L_mag": 0.026803776621818542, "L": 0.009989002719521523, "step": 1350, "lr": 0.00029888192274619827, "elapsed_s": 4874.310699939728}
30
+ {"L_p2p": 0.0010146541753783822, "L_mag": 0.024862708523869514, "L": 0.010395169258117676, "step": 1400, "lr": 0.0002985402103112355, "elapsed_s": 5059.295948505402}
31
+ {"L_p2p": 0.0009846279863268137, "L_mag": 0.02780618518590927, "L": 0.010124340653419495, "step": 1450, "lr": 0.00029815325108927063, "elapsed_s": 5234.824622631073}
32
+ {"L_p2p": 0.0010588212171569467, "L_mag": 0.025406409054994583, "L": 0.010842276737093925, "step": 1500, "lr": 0.0002977211629518312, "elapsed_s": 5410.235764503479}
33
+ {"drift_mean": 0.04301761294482276, "drift_p50": 0.03645893465727568, "drift_p90": 0.0682582650333643, "drift_p95": 0.09234901145100594, "drift_max": 0.14524509012699127, "hausdorff_mean": 0.11415906297042966, "hausdorff_p50": 0.112428218126297, "hausdorff_p90": 0.14734172075986862, "hausdorff_p95": 0.1734551377594471, "hausdorff_max": 0.24598605930805206, "type_root/n": 3.0, "type_root/drift_mean": 0.01940462365746498, "type_root/hausdorff_mean": 0.1190913791457812, "type_root/hausdorff_p90": 0.13857642263174058, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.043670283475269876, "type_effector_mid/hausdorff_mean": 0.08708986639976501, "type_effector_mid/hausdorff_p90": 0.13005360215902328, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.07255450822412968, "type_effector_last/hausdorff_mean": 0.13308105617761612, "type_effector_last/hausdorff_p90": 0.21755810528993608, "step": 1500, "event": "monitor"}
34
+ {"L_p2p": 0.0009752674959599972, "L_mag": 0.023587500676512718, "L": 0.00998855009675026, "step": 1550, "lr": 0.00029724407751714955, "elapsed_s": 5618.695855140686}
35
+ {"L_p2p": 0.0009043334284797311, "L_mag": 0.020569585263729095, "L": 0.00924902968108654, "step": 1600, "lr": 0.0002967221401100708, "elapsed_s": 5794.008905172348}
36
+ {"L_p2p": 0.0009350199834443629, "L_mag": 0.021634817123413086, "L": 0.00956654828041792, "step": 1650, "lr": 0.00029615550971778527, "elapsed_s": 5969.049629449844}
37
+ {"L_p2p": 0.0010726311011239886, "L_mag": 0.022047009319067, "L": 0.010946780443191528, "step": 1700, "lr": 0.0002955443589413994, "elapsed_s": 6152.939346075058}
38
+ {"L_p2p": 0.0009805288864299655, "L_mag": 0.02020600438117981, "L": 0.010007349774241447, "step": 1750, "lr": 0.0002948888739433602, "elapsed_s": 6325.559337854385}
39
+ {"L_p2p": 0.0009192607831209898, "L_mag": 0.017864778637886047, "L": 0.009371254593133926, "step": 1800, "lr": 0.0002941892543907478, "elapsed_s": 6498.015568733215}
40
+ {"L_p2p": 0.0008997865952551365, "L_mag": 0.02110503613948822, "L": 0.009208916686475277, "step": 1850, "lr": 0.0002934457133944553, "elapsed_s": 6672.566642522812}
41
+ {"L_p2p": 0.0008643870241940022, "L_mag": 0.021956807002425194, "L": 0.008863438852131367, "step": 1900, "lr": 0.00029265847744427303, "elapsed_s": 6854.241271734238}
42
+ {"L_p2p": 0.0009543959749862552, "L_mag": 0.030826658010482788, "L": 0.00985222589224577, "step": 1950, "lr": 0.00029182778633989753, "elapsed_s": 7027.068265914917}
43
+ {"L_p2p": 0.000859488092828542, "L_mag": 0.021633168682456017, "L": 0.008811213076114655, "step": 2000, "lr": 0.0002909538931178862, "elapsed_s": 7200.342130422592}
44
+ {"drift_mean": 0.1391240979428403, "drift_p50": 0.1364896595478058, "drift_p90": 0.22624553740024567, "drift_p95": 0.2808564864099026, "drift_max": 0.3918275535106659, "hausdorff_mean": 0.15333376731723547, "hausdorff_p50": 0.1469331607222557, "hausdorff_p90": 0.22722286731004715, "hausdorff_p95": 0.24178658798336983, "hausdorff_max": 0.258413165807724, "type_root/n": 3.0, "type_root/drift_mean": 0.12783115605513254, "type_root/hausdorff_mean": 0.22784024477005005, "type_root/hausdorff_p90": 0.2503708004951477, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.14236117030183473, "type_effector_mid/hausdorff_mean": 0.10536536574363708, "type_effector_mid/hausdorff_p90": 0.14528604596853256, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.16783367035289606, "type_effector_last/hausdorff_mean": 0.13146968185901642, "type_effector_last/hausdorff_p90": 0.144067245721817, "step": 2000, "event": "monitor"}
45
+ {"L_p2p": 0.0008416949422098696, "L_mag": 0.015523907728493214, "L": 0.008572188206017017, "step": 2050, "lr": 0.00029003706397458023, "elapsed_s": 7406.498755455017}
46
+ {"L_p2p": 0.0008171906811185181, "L_mag": 0.019567038863897324, "L": 0.008367577567696571, "step": 2100, "lr": 0.0002890775781850181, "elapsed_s": 7581.04549741745}
47
+ {"L_p2p": 0.0009021153673529625, "L_mag": 0.02124253660440445, "L": 0.00923357903957367, "step": 2150, "lr": 0.00028807572801786604, "elapsed_s": 7754.624587535858}
48
+ {"L_p2p": 0.0008506858721375465, "L_mag": 0.020868059247732162, "L": 0.008715540170669556, "step": 2200, "lr": 0.0002870318186463901, "elapsed_s": 7935.749582529068}
49
+ {"L_p2p": 0.0008125467575155199, "L_mag": 0.020754093304276466, "L": 0.008333008736371994, "step": 2250, "lr": 0.0002859461680554975, "elapsed_s": 8108.360328674316}
50
+ {"L_p2p": 0.000920753285754472, "L_mag": 0.027843855321407318, "L": 0.009485971182584763, "step": 2300, "lr": 0.000284819106944875, "elapsed_s": 8281.399198055267}
51
+ {"L_p2p": 0.0008505111909471452, "L_mag": 0.020663168281316757, "L": 0.008711743168532848, "step": 2350, "lr": 0.00028365097862825513, "elapsed_s": 8455.751106739044}
52
+ {"L_p2p": 0.0008445894345641136, "L_mag": 0.020955797284841537, "L": 0.00865545216947794, "step": 2400, "lr": 0.000282442138928839, "elapsed_s": 8636.497587919235}
53
+ {"L_p2p": 0.0009393517393618822, "L_mag": 0.017275257036089897, "L": 0.009566269814968109, "step": 2450, "lr": 0.00028119295607090933, "elapsed_s": 8809.697064876556}
54
+ {"L_p2p": 0.0008641685708425939, "L_mag": 0.019548993557691574, "L": 0.00883717555552721, "step": 2500, "lr": 0.0002799038105676658, "elapsed_s": 8982.621216535568}
55
+ {"drift_mean": 0.02558605041122064, "drift_p50": 0.023845341056585312, "drift_p90": 0.030396806076169014, "drift_p95": 0.041770399548113346, "drift_max": 0.07058015465736389, "hausdorff_mean": 0.082793646492064, "hausdorff_p50": 0.08853936940431595, "hausdorff_p90": 0.10258148238062859, "hausdorff_p95": 0.11971801146864891, "hausdorff_max": 0.16630063951015472, "type_root/n": 3.0, "type_root/drift_mean": 0.017516399423281353, "type_root/hausdorff_mean": 0.09429297844568889, "type_root/hausdorff_p90": 0.09633081555366516, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.03275103991230329, "type_effector_mid/hausdorff_mean": 0.061893975362181664, "type_effector_mid/hausdorff_p90": 0.08128533139824867, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.027110024665792782, "type_effector_last/hausdorff_mean": 0.07309721782803535, "type_effector_last/hausdorff_p90": 0.0968764990568161, "step": 2500, "event": "monitor"}
56
+ {"L_p2p": 0.0008962962310761213, "L_mag": 0.025601660832762718, "L": 0.009218979626893997, "step": 2550, "lr": 0.00027857509510531683, "elapsed_s": 9196.4233584404}
57
+ {"L_p2p": 0.0008751227287575603, "L_mag": 0.016148675233125687, "L": 0.008912714198231697, "step": 2600, "lr": 0.00027720721442346387, "elapsed_s": 9368.88202381134}
58
+ {"L_p2p": 0.0007286805775947869, "L_mag": 0.018657386302947998, "L": 0.007473379373550415, "step": 2650, "lr": 0.0002758005851918136, "elapsed_s": 9541.676059484482}
59
+ {"L_p2p": 0.0008761528297327459, "L_mag": 0.02381560206413269, "L": 0.008999684825539589, "step": 2700, "lr": 0.0002743556358832562, "elapsed_s": 9721.950700759888}
60
+ {"L_p2p": 0.0007918293122202158, "L_mag": 0.01960822567343712, "L": 0.008114375174045563, "step": 2750, "lr": 0.00027287280664334875, "elapsed_s": 9894.139284610748}
61
+ {"L_p2p": 0.0009047546191141009, "L_mag": 0.02657965198159218, "L": 0.009313343092799187, "step": 2800, "lr": 0.0002713525491562421, "elapsed_s": 10066.629282474518}
62
+ {"L_p2p": 0.000813622260466218, "L_mag": 0.01937805488705635, "L": 0.008330002427101135, "step": 2850, "lr": 0.0002697953265070939, "elapsed_s": 10238.73232460022}
63
+ {"L_p2p": 0.0008400671067647636, "L_mag": 0.02396281808614731, "L": 0.008640299551188946, "step": 2900, "lr": 0.00026820161304100823, "elapsed_s": 10419.368797540665}
64
+ {"L_p2p": 0.0007973631145432591, "L_mag": 0.018690085038542747, "L": 0.008160531520843506, "step": 2950, "lr": 0.0002665718942185456, "elapsed_s": 10594.076392650604}
65
+ {"L_p2p": 0.000798297580331564, "L_mag": 0.020664047449827194, "L": 0.008189616724848747, "step": 3000, "lr": 0.00026490666646784665, "elapsed_s": 10766.121220350266}
66
+ {"drift_mean": 0.0235375635093078, "drift_p50": 0.021098220720887184, "drift_p90": 0.031018206849694252, "drift_p95": 0.03665714990347624, "drift_max": 0.048042554408311844, "hausdorff_mean": 0.06825475580990314, "hausdorff_p50": 0.07319210469722748, "hausdorff_p90": 0.08397892490029335, "hausdorff_p95": 0.08665388636291027, "hausdorff_max": 0.09219992905855179, "type_root/n": 3.0, "type_root/drift_mean": 0.02333110881348451, "type_root/hausdorff_mean": 0.07602101812760036, "type_root/hausdorff_p90": 0.07799626290798187, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.027197559519360464, "type_effector_mid/hausdorff_mean": 0.06207635626196861, "type_effector_mid/hausdorff_p90": 0.07733465358614922, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.023509060343106587, "type_effector_last/hausdorff_mean": 0.057226950923601784, "type_effector_last/hausdorff_p90": 0.07632913962006568, "step": 3000, "event": "monitor"}
67
+ {"L_p2p": 0.0008001640671864152, "L_mag": 0.02053343690931797, "L": 0.00820697471499443, "step": 3050, "lr": 0.0002632064370334158, "elapsed_s": 10972.062843322754}
68
+ {"L_p2p": 0.0007261548889800906, "L_mag": 0.023462163284420967, "L": 0.007496170699596405, "step": 3100, "lr": 0.00026147172382160914, "elapsed_s": 11145.534557580948}
69
+ {"L_p2p": 0.0008014775812625885, "L_mag": 0.012979656457901001, "L": 0.008144572377204895, "step": 3150, "lr": 0.00025970305524287556, "elapsed_s": 11318.347332000732}
70
+ {"L_p2p": 0.0008190976805053651, "L_mag": 0.022014372050762177, "L": 0.008411120623350143, "step": 3200, "lr": 0.00025790097005079764, "elapsed_s": 11498.495591878891}
71
+ {"L_p2p": 0.0008018942316994071, "L_mag": 0.013308586552739143, "L": 0.008152028545737267, "step": 3250, "lr": 0.00025606601717798207, "elapsed_s": 11670.717539072037}
72
+ {"L_p2p": 0.0008824848919175565, "L_mag": 0.019678130745887756, "L": 0.009021630510687828, "step": 3300, "lr": 0.0002541987555688496, "elapsed_s": 11843.879590034485}
73
+ {"L_p2p": 0.0008055422804318368, "L_mag": 0.017337292432785034, "L": 0.008228795602917671, "step": 3350, "lr": 0.0002522997540093748, "elapsed_s": 12015.871054172516}
74
+ {"L_p2p": 0.0007839832687750459, "L_mag": 0.01854059472680092, "L": 0.008025238290429115, "step": 3400, "lr": 0.0002503695909538287, "elapsed_s": 12196.031962394714}
75
+ {"L_p2p": 0.0007161297253333032, "L_mag": 0.019661713391542435, "L": 0.007357914466410875, "step": 3450, "lr": 0.0002484088543485761, "elapsed_s": 12369.181568861008}
76
+ {"L_p2p": 0.0007907478720881045, "L_mag": 0.026629390195012093, "L": 0.008173773065209389, "step": 3500, "lr": 0.0002464181414529809, "elapsed_s": 12541.892924308777}
77
+ {"drift_mean": 0.020186606765491888, "drift_p50": 0.022698644548654556, "drift_p90": 0.027062772773206234, "drift_p95": 0.029537182301282883, "drift_max": 0.0302443690598011, "hausdorff_mean": 0.06575406377669424, "hausdorff_p50": 0.06334402412176132, "hausdorff_p90": 0.09767913818359375, "hausdorff_p95": 0.10612485185265541, "hausdorff_max": 0.12158191949129105, "type_root/n": 3.0, "type_root/drift_mean": 0.023670633013049763, "type_root/hausdorff_mean": 0.05861612409353256, "type_root/hausdorff_p90": 0.06244818195700645, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.017026499845087528, "type_effector_mid/hausdorff_mean": 0.0701109217479825, "type_effector_mid/hausdorff_p90": 0.10798384994268417, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.017965933152784903, "type_effector_last/hausdorff_mean": 0.06314398348331451, "type_effector_last/hausdorff_p90": 0.09066016077995301, "step": 3500, "event": "monitor"}
78
+ {"L_p2p": 0.0007563687395304441, "L_mag": 0.013782018795609474, "L": 0.007701507769525051, "step": 3550, "lr": 0.0002443980586574756, "elapsed_s": 12756.824718952179}
79
+ {"L_p2p": 0.0007433326682075858, "L_mag": 0.019097596406936646, "L": 0.0076243020594120026, "step": 3600, "lr": 0.0002423492212988487, "elapsed_s": 12932.306909322739}
80
+ {"L_p2p": 0.0007873224676586688, "L_mag": 0.02075001411139965, "L": 0.008080724626779556, "step": 3650, "lr": 0.00024027225347280726, "elapsed_s": 13105.994035243988}
81
+ {"L_p2p": 0.0008098522084765136, "L_mag": 0.020507724955677986, "L": 0.008303599432110786, "step": 3700, "lr": 0.00023816778784387094, "elapsed_s": 13287.069737672806}
82
+ {"L_p2p": 0.0007825790089555085, "L_mag": 0.015523028559982777, "L": 0.007981020025908947, "step": 3750, "lr": 0.00023603646545265687, "elapsed_s": 13460.931703090668}
83
+ {"L_p2p": 0.000787194527219981, "L_mag": 0.01643950492143631, "L": 0.008036340586841106, "step": 3800, "lr": 0.00023387893552061199, "elapsed_s": 13636.049181938171}
84
+ {"L_p2p": 0.0007951166480779648, "L_mag": 0.023126373067498207, "L": 0.008182430639863014, "step": 3850, "lr": 0.00023169585525225405, "elapsed_s": 13820.457102060318}
85
+ {"L_p2p": 0.0007749227806925774, "L_mag": 0.01746547967195511, "L": 0.007923882454633713, "step": 3900, "lr": 0.0002294878896349807, "elapsed_s": 13995.043832540512}
86
+ {"L_p2p": 0.0007794385310262442, "L_mag": 0.019271355122327805, "L": 0.007987098768353462, "step": 3950, "lr": 0.00022725571123650813, "elapsed_s": 14167.87732744217}
87
+ {"L_p2p": 0.0007971079321578145, "L_mag": 0.01968993991613388, "L": 0.008167978376150131, "step": 4000, "lr": 0.000225, "elapsed_s": 14349.204707622528}
88
+ {"drift_mean": 0.02122287970269099, "drift_p50": 0.020673412829637527, "drift_p90": 0.02994802501052618, "drift_p95": 0.03163449000567198, "drift_max": 0.0339510440826416, "hausdorff_mean": 0.07020690594799817, "hausdorff_p50": 0.07055377215147018, "hausdorff_p90": 0.09371087700128555, "hausdorff_p95": 0.10000134073197842, "hausdorff_max": 0.1009724959731102, "type_root/n": 3.0, "type_root/drift_mean": 0.02653387188911438, "type_root/hausdorff_mean": 0.06802243118484814, "type_root/hausdorff_p90": 0.0748430609703064, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.020014600983510416, "type_effector_mid/hausdorff_mean": 0.0683653224259615, "type_effector_mid/hausdorff_p90": 0.08366184681653976, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.020182073737184208, "type_effector_last/hausdorff_mean": 0.06847999369104703, "type_effector_last/hausdorff_p90": 0.09183155745267868, "step": 4000, "event": "monitor"}
89
+ {"L_p2p": 0.0007715034298598766, "L_mag": 0.018276887014508247, "L": 0.00789780355989933, "step": 4050, "lr": 0.00022272144303695058, "elapsed_s": 14549.297773361206}
90
+ {"L_p2p": 0.0006995918229222298, "L_mag": 0.015756897628307343, "L": 0.007153486832976341, "step": 4100, "lr": 0.00022042073441788358, "elapsed_s": 14724.024206876755}
91
+ {"L_p2p": 0.000830617209430784, "L_mag": 0.015484524890780449, "L": 0.008461017161607742, "step": 4150, "lr": 0.00021809857496093199, "elapsed_s": 14906.042976856232}
92
+ {"L_p2p": 0.0007452822756022215, "L_mag": 0.014515925198793411, "L": 0.0075979819521307945, "step": 4200, "lr": 0.0002157556720183616, "elapsed_s": 15080.355459213257}
93
+ {"L_p2p": 0.0007426012307405472, "L_mag": 0.01246665045619011, "L": 0.0075506791472435, "step": 4250, "lr": 0.0002133927392611049, "elapsed_s": 15254.339791059494}
94
+ {"L_p2p": 0.0007429328979924321, "L_mag": 0.01799139194190502, "L": 0.00760924257338047, "step": 4300, "lr": 0.00021101049646137003, "elapsed_s": 15428.070190429688}
95
+ {"L_p2p": 0.0007601871620863676, "L_mag": 0.018808826804161072, "L": 0.007789960131049156, "step": 4350, "lr": 0.00020860966927339103, "elapsed_s": 15610.055006742477}
96
+ {"L_p2p": 0.0006964656640775502, "L_mag": 0.016585256904363632, "L": 0.007130509242415428, "step": 4400, "lr": 0.0002061909890123868, "elapsed_s": 15783.244572639465}
97
+ {"L_p2p": 0.0006835053209215403, "L_mag": 0.01739972084760666, "L": 0.0070090508088469505, "step": 4450, "lr": 0.000203755192431795, "elapsed_s": 15955.339952468872}
98
+ {"L_p2p": 0.0007356674177572131, "L_mag": 0.016833288595080376, "L": 0.0075250063091516495, "step": 4500, "lr": 0.00020130302149885031, "elapsed_s": 16135.400063753128}
99
+ {"drift_mean": 0.0222686167107895, "drift_p50": 0.021368732675909996, "drift_p90": 0.032355920411646366, "drift_p95": 0.034864951856434345, "drift_max": 0.035052619874477386, "hausdorff_mean": 0.06431110273115337, "hausdorff_p50": 0.06340387836098671, "hausdorff_p90": 0.0851910263299942, "hausdorff_p95": 0.08731307834386826, "hausdorff_max": 0.09314373135566711, "type_root/n": 3.0, "type_root/drift_mean": 0.03025897654394309, "type_root/hausdorff_mean": 0.05883519103129705, "type_root/hausdorff_p90": 0.06194911301136017, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.0180982433569928, "type_effector_mid/hausdorff_mean": 0.06192219505707423, "type_effector_mid/hausdorff_p90": 0.08049629628658295, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.01762623805552721, "type_effector_last/hausdorff_mean": 0.06410751367608707, "type_effector_last/hausdorff_p90": 0.08454516157507896, "step": 4500, "event": "monitor"}
100
+ {"L_p2p": 0.0008065418223850429, "L_mag": 0.01883278414607048, "L": 0.00825374573469162, "step": 4550, "lr": 0.00019883522316857348, "elapsed_s": 16334.903320789337}
101
+ {"L_p2p": 0.0007305036997422576, "L_mag": 0.02132512256503105, "L": 0.007518288679420948, "step": 4600, "lr": 0.0001963525491562421, "elapsed_s": 16507.892108678818}
102
+ {"L_p2p": 0.0007511135190725327, "L_mag": 0.01570848375558853, "L": 0.007668220438063145, "step": 4650, "lr": 0.0001938557557084105, "elapsed_s": 16688.392535686493}
103
+ {"L_p2p": 0.0006962884217500687, "L_mag": 0.012552756816148758, "L": 0.007088411599397659, "step": 4700, "lr": 0.00019134560337254986, "elapsed_s": 16861.572660446167}
104
+ {"L_p2p": 0.0007787675131112337, "L_mag": 0.016454577445983887, "L": 0.007952220737934113, "step": 4750, "lr": 0.0001888228567653781, "elapsed_s": 17035.203048229218}
105
+ {"L_p2p": 0.0008452978217974305, "L_mag": 0.012746445834636688, "L": 0.008580442517995834, "step": 4800, "lr": 0.00018628828433995013, "elapsed_s": 17220.984291791916}
106
+ {"L_p2p": 0.0007777386344969273, "L_mag": 0.014918569475412369, "L": 0.007926572114229202, "step": 4850, "lr": 0.00018374265815157973, "elapsed_s": 17400.77979373932}
107
+ {"L_p2p": 0.0008995305397547781, "L_mag": 0.01846175268292427, "L": 0.009179922752082348, "step": 4900, "lr": 0.00018118675362266385, "elapsed_s": 17573.688045024872}
108
+ {"L_p2p": 0.0007297273841686547, "L_mag": 0.014328726567327976, "L": 0.007440561428666115, "step": 4950, "lr": 0.0001786213493064817, "elapsed_s": 17746.657678365707}
109
+ {"L_p2p": 0.0007812882540747523, "L_mag": 0.016966259106993675, "L": 0.007982545532286167, "step": 5000, "lr": 0.00017604722665003956, "elapsed_s": 17927.74691772461}
110
+ {"drift_mean": 0.019958780030719936, "drift_p50": 0.02205722127109766, "drift_p90": 0.026605350896716118, "drift_p95": 0.0277916700579226, "drift_max": 0.030428249388933182, "hausdorff_mean": 0.06186110677663237, "hausdorff_p50": 0.0680052861571312, "hausdorff_p90": 0.07996341958642006, "hausdorff_p95": 0.08733302354812622, "hausdorff_max": 0.09477624297142029, "type_root/n": 3.0, "type_root/drift_mean": 0.026462571695446968, "type_root/hausdorff_mean": 0.05829607819517454, "type_root/hausdorff_p90": 0.06600482985377312, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.015437175519764423, "type_effector_mid/hausdorff_mean": 0.0555358799174428, "type_effector_mid/hausdorff_p90": 0.07323223352432251, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.021388638764619827, "type_effector_last/hausdorff_mean": 0.05846879382928213, "type_effector_last/hausdorff_p90": 0.07773815393447876, "step": 5000, "event": "monitor"}
111
+ {"L_p2p": 0.0007835173746570945, "L_mag": 0.019618811085820198, "L": 0.008031361736357212, "step": 5050, "lr": 0.00017346516975603462, "elapsed_s": 18126.479094982147}
112
+ {"L_p2p": 0.0007482313667424023, "L_mag": 0.018980927765369415, "L": 0.007672123145312071, "step": 5100, "lr": 0.0001708759651440098, "elapsed_s": 18301.000693321228}
113
+ {"L_p2p": 0.0007126148557290435, "L_mag": 0.011727193370461464, "L": 0.0072434209287166595, "step": 5150, "lr": 0.0001682804015107721, "elapsed_s": 18481.385805606842}
114
+ {"L_p2p": 0.0007035264279693365, "L_mag": 0.012093441560864449, "L": 0.0071561988443136215, "step": 5200, "lr": 0.000165679269490148, "elapsed_s": 18654.180409908295}
115
+ {"L_p2p": 0.0006939725717529655, "L_mag": 0.014866139739751816, "L": 0.007088387385010719, "step": 5250, "lr": 0.00016307336141214873, "elapsed_s": 18827.73422408104}
116
+ {"L_p2p": 0.0007808280643075705, "L_mag": 0.023205112665891647, "L": 0.008040331304073334, "step": 5300, "lr": 0.00016046347106161876, "elapsed_s": 19009.2880256176}
117
+ {"L_p2p": 0.0006777746602892876, "L_mag": 0.025042163208127022, "L": 0.0070281680673360825, "step": 5350, "lr": 0.0001578503934364416, "elapsed_s": 19181.762543201447}
118
+ {"L_p2p": 0.0006941567407920957, "L_mag": 0.015780258923768997, "L": 0.00709937047213316, "step": 5400, "lr": 0.00015523492450537517, "elapsed_s": 19354.86449766159}
119
+ {"L_p2p": 0.0007036559982225299, "L_mag": 0.016396470367908478, "L": 0.007200525142252445, "step": 5450, "lr": 0.00015261786096559254, "elapsed_s": 19529.15701365471}
120
+ {"L_p2p": 0.0007072703447192907, "L_mag": 0.018454525619745255, "L": 0.0072572482749819756, "step": 5500, "lr": 0.00015, "elapsed_s": 19711.86682534218}
121
+ {"drift_mean": 0.018923364754300565, "drift_p50": 0.018062209710478783, "drift_p90": 0.025583144277334213, "drift_p95": 0.025914406403899193, "drift_max": 0.026712922379374504, "hausdorff_mean": 0.057327837916091084, "hausdorff_p50": 0.05090506002306938, "hausdorff_p90": 0.0772080197930336, "hausdorff_p95": 0.08230755850672722, "hausdorff_max": 0.08990658074617386, "type_root/n": 3.0, "type_root/drift_mean": 0.021719172596931458, "type_root/hausdorff_mean": 0.05167784790198008, "type_root/hausdorff_p90": 0.0600601889193058, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.01921801206966241, "type_effector_mid/hausdorff_mean": 0.053620928277572, "type_effector_mid/hausdorff_p90": 0.06310549937188625, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.01854378388573726, "type_effector_last/hausdorff_mean": 0.05648364499211311, "type_effector_last/hausdorff_p90": 0.08062248304486275, "step": 5500, "event": "monitor"}
122
+ {"L_p2p": 0.000762606505304575, "L_mag": 0.021595966070890427, "L": 0.00784202478826046, "step": 5550, "lr": 0.00014738213903440746, "elapsed_s": 19913.955232858658}
123
+ {"L_p2p": 0.000657136959489435, "L_mag": 0.016053635627031326, "L": 0.006731905974447727, "step": 5600, "lr": 0.0001447650754946249, "elapsed_s": 20096.22690320015}
124
+ {"L_p2p": 0.0007556597702205181, "L_mag": 0.016893325373530388, "L": 0.007725531235337257, "step": 5650, "lr": 0.0001421496065635584, "elapsed_s": 20269.089636802673}
125
+ {"L_p2p": 0.0007207160233519971, "L_mag": 0.01045428030192852, "L": 0.007311702705919743, "step": 5700, "lr": 0.00013953652893838119, "elapsed_s": 20441.825243234634}
126
+ {"L_p2p": 0.0006311275064945221, "L_mag": 0.013217845931649208, "L": 0.00644345348700881, "step": 5750, "lr": 0.00013692663858785124, "elapsed_s": 20622.25935959816}
127
+ {"L_p2p": 0.000828463293146342, "L_mag": 0.01782120205461979, "L": 0.008462844416499138, "step": 5800, "lr": 0.000134320730509852, "elapsed_s": 20795.046538352966}
128
+ {"L_p2p": 0.0006781107513234019, "L_mag": 0.015649495646357536, "L": 0.0069376020692288876, "step": 5850, "lr": 0.00013171959848922788, "elapsed_s": 20968.192941188812}
129
+ {"L_p2p": 0.0007482089567929506, "L_mag": 0.01615946926176548, "L": 0.007643684279173613, "step": 5900, "lr": 0.0001291240348559902, "elapsed_s": 21141.011494636536}
130
+ {"L_p2p": 0.0007341129239648581, "L_mag": 0.02100987546145916, "L": 0.007551227696239948, "step": 5950, "lr": 0.00012653483024396533, "elapsed_s": 21322.123200178146}
131
+ {"L_p2p": 0.0007223294815048575, "L_mag": 0.014696305617690086, "L": 0.007370258681476116, "step": 6000, "lr": 0.00012395277334996044, "elapsed_s": 21495.237682819366}
132
+ {"drift_mean": 0.021578390733338892, "drift_p50": 0.022570861503481865, "drift_p90": 0.02679490204900503, "drift_p95": 0.02711408957839012, "drift_max": 0.027992378920316696, "hausdorff_mean": 0.06396650499664247, "hausdorff_p50": 0.06062592379748821, "hausdorff_p90": 0.08102528378367424, "hausdorff_p95": 0.08732863515615463, "hausdorff_max": 0.1009724959731102, "type_root/n": 3.0, "type_root/drift_mean": 0.02428445840875308, "type_root/hausdorff_mean": 0.052053820341825485, "type_root/hausdorff_p90": 0.05757135227322578, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.020313448427865904, "type_effector_mid/hausdorff_mean": 0.06169215341409048, "type_effector_mid/hausdorff_p90": 0.07206735387444496, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.016907889706393082, "type_effector_last/hausdorff_mean": 0.06819391871492068, "type_effector_last/hausdorff_p90": 0.09217002093791962, "step": 6000, "event": "monitor"}
133
+ {"L_p2p": 0.0007662610150873661, "L_mag": 0.020791830494999886, "L": 0.007870527915656567, "step": 6050, "lr": 0.00012137865069351826, "elapsed_s": 21697.964364290237}
134
+ {"L_p2p": 0.0006712282774969935, "L_mag": 0.017774581909179688, "L": 0.00689002824947238, "step": 6100, "lr": 0.00011881324637733611, "elapsed_s": 21880.16203022003}
135
+ {"L_p2p": 0.0006984614301472902, "L_mag": 0.014124711975455284, "L": 0.007125861942768097, "step": 6150, "lr": 0.00011625734184842027, "elapsed_s": 22053.808424711227}
136
+ {"L_p2p": 0.0006718188524246216, "L_mag": 0.013231957331299782, "L": 0.006850508041679859, "step": 6200, "lr": 0.00011371171566004985, "elapsed_s": 22226.212994337082}
137
+ {"L_p2p": 0.0007568451692350209, "L_mag": 0.014154817909002304, "L": 0.007709999568760395, "step": 6250, "lr": 0.00011117714323462186, "elapsed_s": 22407.441478013992}
138
+ {"L_p2p": 0.000676340947393328, "L_mag": 0.01500716619193554, "L": 0.006913481280207634, "step": 6300, "lr": 0.00010865439662745013, "elapsed_s": 22579.951339244843}
139
+ {"L_p2p": 0.0006921888561919332, "L_mag": 0.021635200828313828, "L": 0.0071382406167685986, "step": 6350, "lr": 0.00010614424429158949, "elapsed_s": 22753.26051902771}
140
+ {"L_p2p": 0.0007119462825357914, "L_mag": 0.0136385727673769, "L": 0.0072558484971523285, "step": 6400, "lr": 0.0001036474508437579, "elapsed_s": 22934.037828445435}
141
+ {"L_p2p": 0.0007407881785184145, "L_mag": 0.017073214054107666, "L": 0.007578614167869091, "step": 6450, "lr": 0.00010116477683142652, "elapsed_s": 23107.407938718796}
142
+ {"L_p2p": 0.0006660913350060582, "L_mag": 0.012395700439810753, "L": 0.0067848702892661095, "step": 6500, "lr": 9.869697850114969e-05, "elapsed_s": 23279.071393728256}
143
+ {"drift_mean": 0.018845232436433434, "drift_p50": 0.019250212237238884, "drift_p90": 0.024566237814724445, "drift_p95": 0.025336882565170527, "drift_max": 0.0257533248513937, "hausdorff_mean": 0.05802106182090938, "hausdorff_p50": 0.049488615244627, "hausdorff_p90": 0.08242122456431389, "hausdorff_p95": 0.08601632155478, "hausdorff_max": 0.09254037588834763, "type_root/n": 3.0, "type_root/drift_mean": 0.021322127431631088, "type_root/hausdorff_mean": 0.043966407577196755, "type_root/hausdorff_p90": 0.051385477930307386, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.018103540564576786, "type_effector_mid/hausdorff_mean": 0.05300684335331122, "type_effector_mid/hausdorff_p90": 0.0667453445494175, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.0201910554120938, "type_effector_last/hausdorff_mean": 0.060419668753941856, "type_effector_last/hausdorff_p90": 0.08360415324568748, "step": 6500, "event": "monitor"}
144
+ {"L_p2p": 0.0007141355890780687, "L_mag": 0.016248391941189766, "L": 0.007303840015083551, "step": 6550, "lr": 9.624480756820496e-05, "elapsed_s": 23484.742001771927}
145
+ {"L_p2p": 0.0007460638880729675, "L_mag": 0.017500679939985275, "L": 0.007635645568370819, "step": 6600, "lr": 9.380901098761319e-05, "elapsed_s": 23657.327071666718}
146
+ {"L_p2p": 0.0007111432496458292, "L_mag": 0.013797199353575706, "L": 0.007249404676258564, "step": 6650, "lr": 9.139033072660895e-05, "elapsed_s": 23830.532146453857}
147
+ {"L_p2p": 0.000665022642351687, "L_mag": 0.013825799338519573, "L": 0.006788484752178192, "step": 6700, "lr": 8.898950353862998e-05, "elapsed_s": 24002.92539000511}
148
+ {"L_p2p": 0.0006803139112889767, "L_mag": 0.013892391696572304, "L": 0.006942063104361296, "step": 6750, "lr": 8.660726073889511e-05, "elapsed_s": 24184.771461486816}
149
+ {"L_p2p": 0.0007220156257972121, "L_mag": 0.013323917053639889, "L": 0.007353395689278841, "step": 6800, "lr": 8.424432798163836e-05, "elapsed_s": 24357.048998355865}
150
+ {"L_p2p": 0.0007214245852082968, "L_mag": 0.014942161738872528, "L": 0.0073636677116155624, "step": 6850, "lr": 8.190142503906798e-05, "elapsed_s": 24529.807127952576}
151
+ {"L_p2p": 0.00067951250821352, "L_mag": 0.017937950789928436, "L": 0.006974504329264164, "step": 6900, "lr": 7.957926558211642e-05, "elapsed_s": 24711.40055513382}
152
+ {"L_p2p": 0.0006363712018355727, "L_mag": 0.01720818132162094, "L": 0.006535794585943222, "step": 6950, "lr": 7.727855696304944e-05, "elapsed_s": 24884.15633416176}
153
+ {"L_p2p": 0.0006474819383583963, "L_mag": 0.01996176689863205, "L": 0.00667443685233593, "step": 7000, "lr": 7.500000000000002e-05, "elapsed_s": 25056.973655700684}
154
+ {"drift_mean": 0.018811237474437803, "drift_p50": 0.01905662566423416, "drift_p90": 0.023001802153885365, "drift_p95": 0.02331535704433918, "drift_max": 0.023975795134902, "hausdorff_mean": 0.06132464203983545, "hausdorff_p50": 0.05176987126469612, "hausdorff_p90": 0.0812610350549221, "hausdorff_p95": 0.08696279302239418, "hausdorff_max": 0.1009724959731102, "type_root/n": 3.0, "type_root/drift_mean": 0.017611248108247917, "type_root/hausdorff_mean": 0.04681795338789622, "type_root/hausdorff_p90": 0.05153500363230705, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.01932652434334159, "type_effector_mid/hausdorff_mean": 0.05860452478130659, "type_effector_mid/hausdorff_p90": 0.07666211575269699, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.016686849916974705, "type_effector_last/hausdorff_mean": 0.06521470099687576, "type_effector_last/hausdorff_p90": 0.09063882827758789, "step": 7000, "event": "monitor"}
155
+ {"L_p2p": 0.0006881612353026867, "L_mag": 0.015322113409638405, "L": 0.0070348335430026054, "step": 7050, "lr": 7.274428876349186e-05, "elapsed_s": 25264.959456920624}
156
+ {"L_p2p": 0.000653195776976645, "L_mag": 0.014725187793374062, "L": 0.006679209880530834, "step": 7100, "lr": 7.051211036501928e-05, "elapsed_s": 25441.997840881348}
157
+ {"L_p2p": 0.0006822584546171129, "L_mag": 0.016305631026625633, "L": 0.006985641084611416, "step": 7150, "lr": 6.830414474774594e-05, "elapsed_s": 25618.811932325363}
158
+ {"L_p2p": 0.0006858889246359468, "L_mag": 0.014974784106016159, "L": 0.007008636835962534, "step": 7200, "lr": 6.612106447938799e-05, "elapsed_s": 25799.11169576645}
159
+ {"L_p2p": 0.0006894546095281839, "L_mag": 0.01731746643781662, "L": 0.0070677208714187145, "step": 7250, "lr": 6.396353454734311e-05, "elapsed_s": 25971.915520191193}
160
+ {"L_p2p": 0.0006401499267667532, "L_mag": 0.012567566707730293, "L": 0.006527175195515156, "step": 7300, "lr": 6.183221215612904e-05, "elapsed_s": 26144.036887168884}
161
+ {"L_p2p": 0.000639250036329031, "L_mag": 0.017917677760124207, "L": 0.0065716770477592945, "step": 7350, "lr": 5.972774652719274e-05, "elapsed_s": 26318.574065446854}
162
+ {"L_p2p": 0.0006739925593137741, "L_mag": 0.016147635877132416, "L": 0.006901402026414871, "step": 7400, "lr": 5.765077870115125e-05, "elapsed_s": 26499.279764413834}
163
+ {"L_p2p": 0.0007165652932599187, "L_mag": 0.017094604671001434, "L": 0.0073365988209843636, "step": 7450, "lr": 5.56019413425244e-05, "elapsed_s": 26672.045437335968}
164
+ {"L_p2p": 0.0006282890681177378, "L_mag": 0.01821150630712509, "L": 0.006465005222707987, "step": 7500, "lr": 5.358185854701909e-05, "elapsed_s": 26844.405796527863}
165
+ {"drift_mean": 0.019677501637488604, "drift_p50": 0.020395592786371708, "drift_p90": 0.024849258363246918, "drift_p95": 0.025243583600968122, "drift_max": 0.02563273161649704, "hausdorff_mean": 0.05756159243173897, "hausdorff_p50": 0.05785251222550869, "hausdorff_p90": 0.08618481829762459, "hausdorff_p95": 0.09399578534066677, "hausdorff_max": 0.1009724959731102, "type_root/n": 3.0, "type_root/drift_mean": 0.020787636439005535, "type_root/hausdorff_mean": 0.044920013596614204, "type_root/hausdorff_p90": 0.0587523452937603, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.019149693194776773, "type_effector_mid/hausdorff_mean": 0.053896842834850155, "type_effector_mid/hausdorff_p90": 0.07503897324204445, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.020549409712354343, "type_effector_last/hausdorff_mean": 0.057318546498815216, "type_effector_last/hausdorff_p90": 0.08885020837187767, "step": 7500, "event": "monitor"}
166
+ {"L_p2p": 0.000702365068718791, "L_mag": 0.016572535037994385, "L": 0.007189376279711723, "step": 7550, "lr": 5.159114565142392e-05, "elapsed_s": 27052.574454545975}
167
+ {"L_p2p": 0.0007380846654996276, "L_mag": 0.017956607043743134, "L": 0.007560412865132093, "step": 7600, "lr": 4.963040904617131e-05, "elapsed_s": 27225.73647260666}
168
+ {"L_p2p": 0.0006505578639917076, "L_mag": 0.018497968092560768, "L": 0.006690558046102524, "step": 7650, "lr": 4.770024599062524e-05, "elapsed_s": 27398.39368247986}
169
+ {"L_p2p": 0.0006123200873844326, "L_mag": 0.017882011830806732, "L": 0.0063020214438438416, "step": 7700, "lr": 4.5801244431150394e-05, "elapsed_s": 27578.88533973694}
170
+ {"L_p2p": 0.000617161625996232, "L_mag": 0.01718250848352909, "L": 0.00634344108402729, "step": 7750, "lr": 4.3933982822017876e-05, "elapsed_s": 27751.510070562363}
171
+ {"L_p2p": 0.0006572387064807117, "L_mag": 0.013638650998473167, "L": 0.006708773784339428, "step": 7800, "lr": 4.209902994920235e-05, "elapsed_s": 27925.253029823303}
172
+ {"L_p2p": 0.0006979851750656962, "L_mag": 0.013583376072347164, "L": 0.007115685380995274, "step": 7850, "lr": 4.029694475712443e-05, "elapsed_s": 28105.563060998917}
173
+ {"L_p2p": 0.0006648993585258722, "L_mag": 0.01791640743613243, "L": 0.00682815769687295, "step": 7900, "lr": 3.852827617839084e-05, "elapsed_s": 28278.183037519455}
174
+ {"L_p2p": 0.0006192967412061989, "L_mag": 0.016898250207304955, "L": 0.006361950188875198, "step": 7950, "lr": 3.6793562966584196e-05, "elapsed_s": 28450.203256607056}
175
+ {"L_p2p": 0.0006939034210518003, "L_mag": 0.019871827214956284, "L": 0.007137752138078213, "step": 8000, "lr": 3.509333353215331e-05, "elapsed_s": 28631.425476551056}
176
+ {"drift_mean": 0.020453589968383312, "drift_p50": 0.021415863186120987, "drift_p90": 0.026150042191147804, "drift_p95": 0.02701935963705182, "drift_max": 0.028207551687955856, "hausdorff_mean": 0.06693273619748652, "hausdorff_p50": 0.06398272886872292, "hausdorff_p90": 0.09673808142542839, "hausdorff_p95": 0.10090142861008644, "hausdorff_max": 0.1009724959731102, "type_root/n": 3.0, "type_root/drift_mean": 0.02683587869008382, "type_root/hausdorff_mean": 0.06032068530718485, "type_root/hausdorff_p90": 0.06444941461086273, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.01903800992295146, "type_effector_mid/hausdorff_mean": 0.060918412481745086, "type_effector_mid/hausdorff_p90": 0.07832633331418037, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.015176775865256786, "type_effector_last/hausdorff_mean": 0.06411304324865341, "type_effector_last/hausdorff_p90": 0.09060619175434113, "step": 8000, "event": "monitor"}
177
+ {"L_p2p": 0.0007042324868962169, "L_mag": 0.01884637027978897, "L": 0.0072307889349758625, "step": 8050, "lr": 3.342810578145436e-05, "elapsed_s": 28830.55464196205}
178
+ {"L_p2p": 0.0006784405559301376, "L_mag": 0.012528182938694954, "L": 0.0069096870720386505, "step": 8100, "lr": 3.1798386958991714e-05, "elapsed_s": 29002.733478307724}
179
+ {"L_p2p": 0.0006871640798635781, "L_mag": 0.012285354547202587, "L": 0.006994494237005711, "step": 8150, "lr": 3.0204673492906106e-05, "elapsed_s": 29174.843106746674}
180
+ {"L_p2p": 0.0006388819310814142, "L_mag": 0.013687875121831894, "L": 0.006525698117911816, "step": 8200, "lr": 2.8647450843757897e-05, "elapsed_s": 29356.06824851036}
181
+ {"L_p2p": 0.000703281257301569, "L_mag": 0.012535495683550835, "L": 0.007158167194575071, "step": 8250, "lr": 2.7127193356651213e-05, "elapsed_s": 29529.152413129807}
182
+ {"L_p2p": 0.0006875655963085592, "L_mag": 0.01934339664876461, "L": 0.007069090381264687, "step": 8300, "lr": 2.5644364116743755e-05, "elapsed_s": 29701.53833246231}
183
+ {"L_p2p": 0.0006605606758967042, "L_mag": 0.020180881023406982, "L": 0.006807415746152401, "step": 8350, "lr": 2.4199414808186406e-05, "elapsed_s": 29887.237481355667}
184
+ {"L_p2p": 0.0006918399594724178, "L_mag": 0.013429652899503708, "L": 0.007052695844322443, "step": 8400, "lr": 2.2792785576536105e-05, "elapsed_s": 30064.546835422516}
185
+ {"L_p2p": 0.0006106312503106892, "L_mag": 0.01411233376711607, "L": 0.006247435696423054, "step": 8450, "lr": 2.1424904894683165e-05, "elapsed_s": 30235.962338924408}
186
+ {"L_p2p": 0.0006474744295701385, "L_mag": 0.015766726806759834, "L": 0.006632411852478981, "step": 8500, "lr": 2.009618943233419e-05, "elapsed_s": 30418.7855591774}
187
+ {"drift_mean": 0.020071685372386128, "drift_p50": 0.021257421001791954, "drift_p90": 0.025396110489964485, "drift_p95": 0.026553967036306858, "drift_max": 0.02859092317521572, "hausdorff_mean": 0.06352683994919062, "hausdorff_p50": 0.05455946922302246, "hausdorff_p90": 0.08782539889216423, "hausdorff_p95": 0.09179278090596199, "hausdorff_max": 0.1009724959731102, "type_root/n": 3.0, "type_root/drift_mean": 0.021747531990210216, "type_root/hausdorff_mean": 0.05006675670544306, "type_root/hausdorff_p90": 0.05488385632634163, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.0195574175255994, "type_effector_mid/hausdorff_mean": 0.0585794256379207, "type_effector_mid/hausdorff_p90": 0.07603609934449196, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.017445911342899006, "type_effector_last/hausdorff_mean": 0.06366463129719098, "type_effector_last/hausdorff_p90": 0.0906192809343338, "step": 8500, "event": "monitor"}
188
+ {"L_p2p": 0.0005903163691982627, "L_mag": 0.011147559620440006, "L": 0.006014639511704445, "step": 8550, "lr": 1.880704392909064e-05, "elapsed_s": 30621.920371055603}
189
+ {"L_p2p": 0.0006555597647093236, "L_mag": 0.015173896215856075, "L": 0.006707336287945509, "step": 8600, "lr": 1.755786107116095e-05, "elapsed_s": 30795.4025015831}
190
+ {"L_p2p": 0.000725323217920959, "L_mag": 0.01540896762162447, "L": 0.007407321594655514, "step": 8650, "lr": 1.634902137174483e-05, "elapsed_s": 30983.494613409042}
191
+ {"L_p2p": 0.0006615454331040382, "L_mag": 0.015599115751683712, "L": 0.006771445274353027, "step": 8700, "lr": 1.5180893055124977e-05, "elapsed_s": 31159.932889699936}
192
+ {"L_p2p": 0.0005785449757240713, "L_mag": 0.012873226776719093, "L": 0.005914182402193546, "step": 8750, "lr": 1.4053831944502508e-05, "elapsed_s": 31340.67421936989}
193
+ {"L_p2p": 0.0006144656799733639, "L_mag": 0.013436193577945232, "L": 0.006279018707573414, "step": 8800, "lr": 1.2968181353609852e-05, "elapsed_s": 31524.1887049675}
194
+ {"L_p2p": 0.0006190360873006284, "L_mag": 0.01661074534058571, "L": 0.006356468424201012, "step": 8850, "lr": 1.1924271982133943e-05, "elapsed_s": 31697.1073884964}
195
+ {"L_p2p": 0.0006132381968200207, "L_mag": 0.014595086686313152, "L": 0.0062783327884972095, "step": 8900, "lr": 1.0922421814981901e-05, "elapsed_s": 31868.621723651886}
196
+ {"L_p2p": 0.0006623688968829811, "L_mag": 0.01363480556756258, "L": 0.006760037504136562, "step": 8950, "lr": 9.962936025419754e-06, "elapsed_s": 32043.31278181076}
197
+ {"L_p2p": 0.0005504331784322858, "L_mag": 0.014876354485750198, "L": 0.00565309589728713, "step": 9000, "lr": 9.046106882113751e-06, "elapsed_s": 32232.510254383087}
198
+ {"drift_mean": 0.01871184837364126, "drift_p50": 0.0196767533197999, "drift_p90": 0.023687440901994705, "drift_p95": 0.024059198331087828, "drift_max": 0.025050250813364983, "hausdorff_mean": 0.06091273529455066, "hausdorff_p50": 0.05691048689186573, "hausdorff_p90": 0.09034005552530289, "hausdorff_p95": 0.0961628258228302, "hausdorff_max": 0.1009724959731102, "type_root/n": 3.0, "type_root/drift_mean": 0.021012073382735252, "type_root/hausdorff_mean": 0.04728386923670769, "type_root/hausdorff_p90": 0.05581400096416474, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.01866397385795911, "type_effector_mid/hausdorff_mean": 0.059229531635840736, "type_effector_mid/hausdorff_p90": 0.07722574099898338, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.013841284827018777, "type_effector_last/hausdorff_mean": 0.05705587441722552, "type_effector_last/hausdorff_p90": 0.08876457437872887, "step": 9000, "event": "monitor"}
199
+ {"L_p2p": 0.0007146312273107469, "L_mag": 0.018124405294656754, "L": 0.007327556610107422, "step": 9050, "lr": 8.172213660102473e-06, "elapsed_s": 32443.33361172676}
200
+ {"L_p2p": 0.0006427590269595385, "L_mag": 0.01583322137594223, "L": 0.0065859220921993256, "step": 9100, "lr": 7.34152255572697e-06, "elapsed_s": 32625.911442279816}
201
+ {"L_p2p": 0.0006399954436346889, "L_mag": 0.015403181314468384, "L": 0.006553986109793186, "step": 9150, "lr": 6.554286605544684e-06, "elapsed_s": 32817.32909870148}
202
+ {"L_p2p": 0.0006593545549549162, "L_mag": 0.018761102110147476, "L": 0.00678115664049983, "step": 9200, "lr": 5.810745609252165e-06, "elapsed_s": 33001.29285907745}
203
+ {"L_p2p": 0.0006440132856369019, "L_mag": 0.014875143766403198, "L": 0.006588884629309177, "step": 9250, "lr": 5.11112605663977e-06, "elapsed_s": 33185.99369215965}
204
+ {"L_p2p": 0.0006392028881236911, "L_mag": 0.013262597844004631, "L": 0.006524655036628246, "step": 9300, "lr": 4.455641058600528e-06, "elapsed_s": 33369.66214513779}
205
+ {"L_p2p": 0.0006585118244402111, "L_mag": 0.016713343560695648, "L": 0.006752251647412777, "step": 9350, "lr": 3.844490282214729e-06, "elapsed_s": 33550.14779138565}
206
+ {"L_p2p": 0.0006609025876969099, "L_mag": 0.01463882252573967, "L": 0.006755413953214884, "step": 9400, "lr": 3.2778598899291465e-06, "elapsed_s": 33731.593403339386}
207
+ {"L_p2p": 0.0006470261141657829, "L_mag": 0.014811254106462002, "L": 0.006618374027311802, "step": 9450, "lr": 2.7559224828504035e-06, "elapsed_s": 33919.94980144501}
208
+ {"L_p2p": 0.0006779904360882938, "L_mag": 0.015098788775503635, "L": 0.00693089235574007, "step": 9500, "lr": 2.2788370481687965e-06, "elapsed_s": 34101.075691223145}
209
+ {"drift_mean": 0.019398692616960034, "drift_p50": 0.021010367199778557, "drift_p90": 0.025029090233147144, "drift_p95": 0.02693377062678337, "drift_max": 0.02721262536942959, "hausdorff_mean": 0.06307716039009392, "hausdorff_p50": 0.056346531957387924, "hausdorff_p90": 0.08869099244475365, "hausdorff_p95": 0.09510526992380619, "hausdorff_max": 0.1009724959731102, "type_root/n": 3.0, "type_root/drift_mean": 0.02158074826002121, "type_root/hausdorff_mean": 0.0494619756937027, "type_root/hausdorff_p90": 0.057510070502758026, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.0185022900501887, "type_effector_mid/hausdorff_mean": 0.05920252576470375, "type_effector_mid/hausdorff_p90": 0.0766425933688879, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.015190067235380411, "type_effector_last/hausdorff_mean": 0.06350862855712573, "type_effector_last/hausdorff_p90": 0.09063740372657776, "step": 9500, "event": "monitor"}
210
+ {"L_p2p": 0.0006299139931797981, "L_mag": 0.014746805652976036, "L": 0.00644660834223032, "step": 9550, "lr": 1.8467489107293509e-06, "elapsed_s": 34306.56263041496}
211
+ {"L_p2p": 0.0005859002121724188, "L_mag": 0.01754714921116829, "L": 0.006034473888576031, "step": 9600, "lr": 1.4597896887644456e-06, "elapsed_s": 34491.65329527855}
212
+ {"L_p2p": 0.0005714084254577756, "L_mag": 0.012965897098183632, "L": 0.0058437432162463665, "step": 9650, "lr": 1.1180772538017024e-06, "elapsed_s": 34672.681517362595}
213
+ {"L_p2p": 0.0006701271049678326, "L_mag": 0.020192192867398262, "L": 0.006903193425387144, "step": 9700, "lr": 8.217156947590064e-07, "elapsed_s": 34853.710307359695}
214
+ {"L_p2p": 0.0006584418006241322, "L_mag": 0.014809954911470413, "L": 0.006732517387717962, "step": 9750, "lr": 5.707952862381681e-07, "elapsed_s": 35035.249213695526}
215
+ {"L_p2p": 0.0007174383499659598, "L_mag": 0.014231054112315178, "L": 0.007316694129258394, "step": 9800, "lr": 3.653924610263703e-07, "elapsed_s": 35222.103815078735}
216
+ {"L_p2p": 0.000637753342743963, "L_mag": 0.012995699420571327, "L": 0.006507490295916796, "step": 9850, "lr": 2.05569786813925e-07, "elapsed_s": 35403.75592827797}
217
+ {"L_p2p": 0.0006411797949112952, "L_mag": 0.015620902180671692, "L": 0.006568007171154022, "step": 9900, "lr": 9.137594713563568e-08, "elapsed_s": 35586.94684052467}
218
+ {"L_p2p": 0.0005684873322024941, "L_mag": 0.016787122935056686, "L": 0.005852744914591312, "step": 9950, "lr": 2.284572654130956e-08, "elapsed_s": 35775.93112850189}
219
+ {"L_p2p": 0.0007327639032155275, "L_mag": 0.01579098217189312, "L": 0.0074855489656329155, "step": 10000, "lr": 0.0, "elapsed_s": 35957.78193998337}
220
+ {"drift_mean": 0.019452246255241334, "drift_p50": 0.020393037237226963, "drift_p90": 0.02410267386585474, "drift_p95": 0.025095759890973568, "drift_max": 0.02614608220756054, "hausdorff_mean": 0.061866911593824625, "hausdorff_p50": 0.05529748275876045, "hausdorff_p90": 0.08345548436045647, "hausdorff_p95": 0.08923183009028435, "hausdorff_max": 0.1009724959731102, "type_root/n": 3.0, "type_root/drift_mean": 0.020936785265803337, "type_root/hausdorff_mean": 0.04908385748664538, "type_root/hausdorff_p90": 0.057064400613307954, "type_effector_mid/n": 6.0, "type_effector_mid/drift_mean": 0.017919137608259916, "type_effector_mid/hausdorff_mean": 0.05698516219854355, "type_effector_mid/hausdorff_p90": 0.0714164637029171, "type_effector_last/n": 3.0, "type_effector_last/drift_mean": 0.01801032107323408, "type_effector_last/hausdorff_mean": 0.06359927480419476, "type_effector_last/hausdorff_p90": 0.09062602519989015, "step": 10000, "event": "monitor"}
experiments/untimed_path/run-001/wandb/debug-internal.log ADDED
The diff for this file is too large to render. See raw diff
 
experiments/untimed_path/run-001/wandb/debug.log ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_setup.py:_flush():81] Current SDK version is 0.25.1
2
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_setup.py:_flush():81] Configure stats pid to 4115891
3
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_setup.py:_flush():81] Loading settings from environment variables
4
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_init.py:setup_run_log_directory():717] Logging user logs to experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/logs/debug.log
5
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_init.py:setup_run_log_directory():718] Logging internal logs to experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/logs/debug-internal.log
6
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_init.py:init():844] calling init triggers
7
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_init.py:init():849] wandb.init called with sweep_config: {}
8
+ config: {'dataset': {'h5_path': 'data/LS_HighStep0_1_augmented/preprocessed.h5', 'target_spacing_m': 0.05, 'K_min': 2, 'K_max': 256, 'min_segment_length_m': 0.1, 'skip_degenerate': True, 'preparation': {'dedup_enabled': True, 'min_velocity_m_s': 2.0}, 'spline': {'cp_spacing_m': 0.25, 'min_cp': 4, 'max_cp': 16, 'degree': 3}, 'include_segment_types': ['effector_first', 'effector_mid', 'effector_last', 'root', 'no_contact_ee'], 'anchor_annotation_sigma': 0.1, 'val_fraction': 0.1}, 'field_cfg': {'scene': {'crop_radius': 1.5, 'grid_size': 0.03, 'litept': {'in_features': 5, 'out_features': 256, 'order': ['z', 'z-trans'], 'stride': [2, 2, 2, 2], 'enc_depths': [2, 2, 2, 6, 2], 'enc_channels': [36, 72, 144, 252, 504], 'enc_num_head': [2, 4, 8, 14, 28], 'enc_patch_size': [1024, 1024, 1024, 1024, 1024], 'enc_conv': [True, True, True, False, False], 'enc_attn': [False, False, False, True, True], 'enc_rope_freq': [100.0, 100.0, 100.0, 100.0, 100.0], 'dec_depths': [0, 0, 0, 0], 'dec_channels': [72, 72, 144, 252], 'dec_num_head': [4, 4, 8, 14], 'dec_patch_size': [1024, 1024, 1024, 1024], 'dec_conv': [False, False, False, False], 'dec_attn': [False, False, False, False], 'dec_rope_freq': [100.0, 100.0, 100.0, 100.0], 'mlp_ratio': 4.0, 'drop_path': 0.1, 'enc_mode': False, 'cond_dim': 0, 'cond_mode': 'adaln', 'base_feature': 'occupancy', 'shuffle_orders_train': True, 'shuffle_orders_eval': True}}, 'num_tracks': 5, 'd_track': 16, 'fourier_num_freq': 5, 'd_attn': 128, 'mlp_hidden': 256, 'mlp_depth': 4, 'attractor_tau': 0.1}, 'loss': {'weight_p2p': 10.0, 'weight_p2l_fwd': 0.0, 'weight_p2l_rev': 0.0, 'weight_mag': 0.01, 'huber_delta': 0.05}, 'rollout': {'delta_s': 0.05, 'M': 3, 'rollouts_per_item': 2, 'start_from_p_minus_prob': 0.25, 'dagger_sigma': 0.025}, 'train': {'output_dir': 'experiments/untimed_path', 'lr': 0.0003, 'weight_decay': 0.01, 'warmup_steps': 1000, 'max_steps': 10000, 'batch_size': 128, 'num_workers': 32, 'drop_last': True, 'aug_yaw': True, 'aug_pc_dropout': 0.1, 'monitor_every_steps': 500, 'checkpoint_every_steps': 2000, 'log_every_steps': 50, 'eval_delta_s': 0.05, 'eval_max_steps': 256, 'eval_n_trajectories': 16, 'use_wandb': True, 'wandb_project': 'genplan_contact_plan', 'wandb_entity': None, 'wandb_run_name': 'window_ls_highstep0_1', 'show_progress': True}, 'n_limit': None, '_wandb': {}}
9
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_init.py:init():892] starting backend
10
+ 2026-05-11 21:57:25,582 INFO MainThread:4115891 [wandb_init.py:init():895] sending inform_init request
11
+ 2026-05-11 21:57:25,584 INFO MainThread:4115891 [wandb_init.py:init():903] backend started and connected
12
+ 2026-05-11 21:57:25,586 INFO MainThread:4115891 [wandb_init.py:init():973] updated telemetry
13
+ 2026-05-11 21:57:25,589 INFO MainThread:4115891 [wandb_init.py:init():997] communicating run to backend with 90.0 second timeout
14
+ 2026-05-11 21:57:26,759 INFO MainThread:4115891 [wandb_init.py:init():1042] starting run threads in backend
15
+ 2026-05-11 21:57:26,843 INFO MainThread:4115891 [wandb_run.py:_console_start():2524] atexit reg
16
+ 2026-05-11 21:57:26,843 INFO MainThread:4115891 [wandb_run.py:_redirect():2373] redirect: wrap_raw
17
+ 2026-05-11 21:57:26,843 INFO MainThread:4115891 [wandb_run.py:_redirect():2442] Wrapping output streams.
18
+ 2026-05-11 21:57:26,843 INFO MainThread:4115891 [wandb_run.py:_redirect():2465] Redirects installed.
19
+ 2026-05-11 21:57:26,845 INFO MainThread:4115891 [wandb_init.py:init():1082] run started, returning control to user process
20
+ 2026-05-11 21:57:26,845 INFO MainThread:4115891 [wandb_watch.py:_watch():69] Watching
21
+ 2026-05-12 07:57:10,879 INFO MainThread:4115891 [wandb_run.py:_finish():2291] finishing run packman/genplan_contact_plan/yd62b5rt
22
+ 2026-05-12 07:57:10,880 INFO MainThread:4115891 [wandb_run.py:_atexit_cleanup():2490] got exitcode: 0
23
+ 2026-05-12 07:57:10,880 INFO MainThread:4115891 [wandb_run.py:_restore():2472] restore
24
+ 2026-05-12 07:57:10,880 INFO MainThread:4115891 [wandb_run.py:_restore():2478] restore done
25
+ 2026-05-12 07:57:13,062 INFO MainThread:4115891 [wandb_run.py:_footer_sync_info():3868] logging synced files
experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/files/config.yaml ADDED
@@ -0,0 +1,278 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ _wandb:
2
+ value:
3
+ cli_version: 0.25.1
4
+ e:
5
+ k52dxa8fqpkcglwk3jbcf8t4gvbnp6wy:
6
+ args:
7
+ - --dataset.h5-path
8
+ - data/LS_HighStep0_1_augmented/preprocessed.h5
9
+ - --train.output-dir
10
+ - experiments/untimed_path
11
+ - --train.wandb-run-name
12
+ - window_ls_highstep0_1
13
+ codePath: scripts/contact_plan/train_untimed_path.py
14
+ codePathLocal: scripts/contact_plan/train_untimed_path.py
15
+ cpu_count: 72
16
+ cpu_count_logical: 72
17
+ cudaVersion: "13.0"
18
+ disk:
19
+ /:
20
+ total: "1717986918400"
21
+ used: "506136170496"
22
+ email: hhjjhh0425@gmail.com
23
+ executable: /home/jh/genplan/.venv/bin/python3
24
+ git:
25
+ commit: e3bd83ba3e78e53403936339bb113272fcdd67a7
26
+ remote: git@github.com:junhyekh/genplan.git
27
+ gpu: NVIDIA B200
28
+ gpu_count: 8
29
+ gpu_nvidia:
30
+ - architecture: Blackwell
31
+ cudaCores: 18944
32
+ memoryTotal: "192265846784"
33
+ name: NVIDIA B200
34
+ uuid: GPU-4727a056-1974-10be-9146-32255497b65a
35
+ - architecture: Blackwell
36
+ cudaCores: 18944
37
+ memoryTotal: "192265846784"
38
+ name: NVIDIA B200
39
+ uuid: GPU-b45e9b40-bf74-0989-4107-0e59dbac396a
40
+ - architecture: Blackwell
41
+ cudaCores: 18944
42
+ memoryTotal: "192265846784"
43
+ name: NVIDIA B200
44
+ uuid: GPU-0f419603-bfb4-6847-795f-7c15c5013d2d
45
+ - architecture: Blackwell
46
+ cudaCores: 18944
47
+ memoryTotal: "192265846784"
48
+ name: NVIDIA B200
49
+ uuid: GPU-c3521a1e-1283-c964-eabe-274f6e348083
50
+ - architecture: Blackwell
51
+ cudaCores: 18944
52
+ memoryTotal: "192265846784"
53
+ name: NVIDIA B200
54
+ uuid: GPU-843aea75-bec0-cb68-4a88-c8651966a272
55
+ - architecture: Blackwell
56
+ cudaCores: 18944
57
+ memoryTotal: "192265846784"
58
+ name: NVIDIA B200
59
+ uuid: GPU-b36ed580-1bcc-3e0a-28bd-f377c5035299
60
+ - architecture: Blackwell
61
+ cudaCores: 18944
62
+ memoryTotal: "192265846784"
63
+ name: NVIDIA B200
64
+ uuid: GPU-c7d8d9d2-d00d-6df4-8f3d-91e55207a5c8
65
+ - architecture: Blackwell
66
+ cudaCores: 18944
67
+ memoryTotal: "192265846784"
68
+ name: NVIDIA B200
69
+ uuid: GPU-5cae1337-a05d-6800-00bb-0343ef5334e5
70
+ host: gpu-8
71
+ memory:
72
+ total: "2430205759488"
73
+ os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
74
+ program: /home/jh/genplan/scripts/contact_plan/train_untimed_path.py
75
+ python: CPython 3.12.3
76
+ root: experiments/untimed_path/run-001
77
+ startedAt: "2026-05-11T12:57:25.356332Z"
78
+ writerId: k52dxa8fqpkcglwk3jbcf8t4gvbnp6wy
79
+ m: []
80
+ python_version: 3.12.3
81
+ t:
82
+ "1":
83
+ - 1
84
+ - 41
85
+ - 49
86
+ - 63
87
+ - 77
88
+ - 105
89
+ "2":
90
+ - 1
91
+ - 41
92
+ - 49
93
+ - 63
94
+ - 77
95
+ - 105
96
+ "3":
97
+ - 1
98
+ - 2
99
+ - 13
100
+ - 14
101
+ - 16
102
+ - 61
103
+ - 62
104
+ "4": 3.12.3
105
+ "5": 0.25.1
106
+ "12": 0.25.1
107
+ "13": linux-x86_64
108
+ dataset:
109
+ value:
110
+ K_max: 256
111
+ K_min: 2
112
+ anchor_annotation_sigma: 0.1
113
+ h5_path: data/LS_HighStep0_1_augmented/preprocessed.h5
114
+ include_segment_types:
115
+ - effector_first
116
+ - effector_mid
117
+ - effector_last
118
+ - root
119
+ - no_contact_ee
120
+ min_segment_length_m: 0.1
121
+ preparation:
122
+ dedup_enabled: true
123
+ min_velocity_m_s: 2
124
+ skip_degenerate: true
125
+ spline:
126
+ cp_spacing_m: 0.25
127
+ degree: 3
128
+ max_cp: 16
129
+ min_cp: 4
130
+ target_spacing_m: 0.05
131
+ val_fraction: 0.1
132
+ field_cfg:
133
+ value:
134
+ attractor_tau: 0.1
135
+ d_attn: 128
136
+ d_track: 16
137
+ fourier_num_freq: 5
138
+ mlp_depth: 4
139
+ mlp_hidden: 256
140
+ num_tracks: 5
141
+ scene:
142
+ crop_radius: 1.5
143
+ grid_size: 0.03
144
+ litept:
145
+ base_feature: occupancy
146
+ cond_dim: 0
147
+ cond_mode: adaln
148
+ dec_attn:
149
+ - false
150
+ - false
151
+ - false
152
+ - false
153
+ dec_channels:
154
+ - 72
155
+ - 72
156
+ - 144
157
+ - 252
158
+ dec_conv:
159
+ - false
160
+ - false
161
+ - false
162
+ - false
163
+ dec_depths:
164
+ - 0
165
+ - 0
166
+ - 0
167
+ - 0
168
+ dec_num_head:
169
+ - 4
170
+ - 4
171
+ - 8
172
+ - 14
173
+ dec_patch_size:
174
+ - 1024
175
+ - 1024
176
+ - 1024
177
+ - 1024
178
+ dec_rope_freq:
179
+ - 100
180
+ - 100
181
+ - 100
182
+ - 100
183
+ drop_path: 0.1
184
+ enc_attn:
185
+ - false
186
+ - false
187
+ - false
188
+ - true
189
+ - true
190
+ enc_channels:
191
+ - 36
192
+ - 72
193
+ - 144
194
+ - 252
195
+ - 504
196
+ enc_conv:
197
+ - true
198
+ - true
199
+ - true
200
+ - false
201
+ - false
202
+ enc_depths:
203
+ - 2
204
+ - 2
205
+ - 2
206
+ - 6
207
+ - 2
208
+ enc_mode: false
209
+ enc_num_head:
210
+ - 2
211
+ - 4
212
+ - 8
213
+ - 14
214
+ - 28
215
+ enc_patch_size:
216
+ - 1024
217
+ - 1024
218
+ - 1024
219
+ - 1024
220
+ - 1024
221
+ enc_rope_freq:
222
+ - 100
223
+ - 100
224
+ - 100
225
+ - 100
226
+ - 100
227
+ in_features: 5
228
+ mlp_ratio: 4
229
+ order:
230
+ - z
231
+ - z-trans
232
+ out_features: 256
233
+ shuffle_orders_eval: true
234
+ shuffle_orders_train: true
235
+ stride:
236
+ - 2
237
+ - 2
238
+ - 2
239
+ - 2
240
+ loss:
241
+ value:
242
+ huber_delta: 0.05
243
+ weight_mag: 0.01
244
+ weight_p2l_fwd: 0
245
+ weight_p2l_rev: 0
246
+ weight_p2p: 10
247
+ n_limit:
248
+ value: null
249
+ rollout:
250
+ value:
251
+ M: 3
252
+ dagger_sigma: 0.025
253
+ delta_s: 0.05
254
+ rollouts_per_item: 2
255
+ start_from_p_minus_prob: 0.25
256
+ train:
257
+ value:
258
+ aug_pc_dropout: 0.1
259
+ aug_yaw: true
260
+ batch_size: 128
261
+ checkpoint_every_steps: 2000
262
+ drop_last: true
263
+ eval_delta_s: 0.05
264
+ eval_max_steps: 256
265
+ eval_n_trajectories: 16
266
+ log_every_steps: 50
267
+ lr: 0.0003
268
+ max_steps: 10000
269
+ monitor_every_steps: 500
270
+ num_workers: 32
271
+ output_dir: experiments/untimed_path
272
+ show_progress: true
273
+ use_wandb: true
274
+ wandb_entity: null
275
+ wandb_project: genplan_contact_plan
276
+ wandb_run_name: window_ls_highstep0_1
277
+ warmup_steps: 1000
278
+ weight_decay: 0.01
experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/files/output.log ADDED
@@ -0,0 +1,237 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ic| train_untimed_path.py:466 in main()
2
+  f"wandb run: {run_name} id={wandb_logger.id}": 'wandb run: window_ls_highstep0_1 id=yd62b5rt'
3
+
4
+ [step 50] L_p2p=0.0029 L_mag=0.8273 L=0.0370 lr=1.50e-05 190s
5
+ [step 100] L_p2p=0.0025 L_mag=0.6427 L=0.0319 lr=3.00e-05 362s
6
+ [step 150] L_p2p=0.0017 L_mag=0.0397 L=0.0177 lr=4.50e-05 534s
7
+ [step 200] L_p2p=0.0018 L_mag=0.0434 L=0.0181 lr=6.00e-05 715s
8
+ [step 250] L_p2p=0.0017 L_mag=0.0464 L=0.0177 lr=7.50e-05 887s
9
+ [step 300] L_p2p=0.0016 L_mag=0.0366 L=0.0167 lr=9.00e-05 1059s
10
+ [step 350] L_p2p=0.0016 L_mag=0.0327 L=0.0160 lr=1.05e-04 1244s
11
+ [step 400] L_p2p=0.0015 L_mag=0.0446 L=0.0152 lr=1.20e-04 1416s
12
+ [step 450] L_p2p=0.0015 L_mag=0.0245 L=0.0149 lr=1.35e-04 1590s
13
+ [step 500] L_p2p=0.0016 L_mag=0.0367 L=0.0168 lr=1.50e-04 1771s
14
+ [monitor 500] drift_mean=0.3078 drift_p50=0.3701 drift_p90=0.4268 drift_p95=0.4283 drift_max=0.4301 hausdorff_mean=0.3243 hausdorff_p50=0.3753 hausdorff_p90=0.4776 hausdorff_p95=0.4943 hausdorff_max=0.5386 type_root/n=3.0000 type_root/drift_mean=0.4080 type_root/hausdorff_mean=0.3829 type_root/hausdorff_p90=0.4118 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.2833 type_effector_mid/hausdorff_mean=0.2922 type_effector_mid/hausdorff_p90=0.4866 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.2294 type_effector_last/hausdorff_mean=0.1811 type_effector_last/hausdorff_p90=0.2466 step=500.0000
15
+ saved experiments/untimed_path/run-001/ckpt/best.pt (hausdorff_mean=0.3243)
16
+ [step 550] L_p2p=0.0014 L_mag=0.0350 L=0.0142 lr=1.65e-04 1968s
17
+ [step 600] L_p2p=0.0013 L_mag=0.0357 L=0.0133 lr=1.80e-04 2141s
18
+ [step 650] L_p2p=0.0013 L_mag=0.0255 L=0.0136 lr=1.95e-04 2316s
19
+ [step 700] L_p2p=0.0012 L_mag=0.0233 L=0.0122 lr=2.10e-04 2499s
20
+ [step 750] L_p2p=0.0012 L_mag=0.0327 L=0.0126 lr=2.25e-04 2672s
21
+ [step 800] L_p2p=0.0012 L_mag=0.0308 L=0.0119 lr=2.40e-04 2845s
22
+ [step 850] L_p2p=0.0012 L_mag=0.0330 L=0.0120 lr=2.55e-04 3031s
23
+ [step 900] L_p2p=0.0012 L_mag=0.0340 L=0.0122 lr=2.70e-04 3215s
24
+ [step 950] L_p2p=0.0013 L_mag=0.0359 L=0.0129 lr=2.85e-04 3399s
25
+ [step 1000] L_p2p=0.0012 L_mag=0.0302 L=0.0124 lr=3.00e-04 3582s
26
+ [monitor 1000] drift_mean=0.8176 drift_p50=0.8066 drift_p90=1.0349 drift_p95=1.0431 drift_max=1.0463 hausdorff_mean=0.2739 hausdorff_p50=0.2364 hausdorff_p90=0.4162 hausdorff_p95=0.4695 hausdorff_max=0.6185 type_root/n=3.0000 type_root/drift_mean=1.0387 type_root/hausdorff_mean=0.2274 type_root/hausdorff_p90=0.2448 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.7496 type_effector_mid/hausdorff_mean=0.2908 type_effector_mid/hausdorff_p90=0.5066 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.7000 type_effector_last/hausdorff_mean=0.1536 type_effector_last/hausdorff_p90=0.2036 step=1000.0000
27
+ saved experiments/untimed_path/run-001/ckpt/best.pt (hausdorff_mean=0.2739)
28
+ [step 1050] L_p2p=0.0011 L_mag=0.0273 L=0.0114 lr=3.00e-04 3800s
29
+ [step 1100] L_p2p=0.0010 L_mag=0.0252 L=0.0102 lr=3.00e-04 3981s
30
+ [step 1150] L_p2p=0.0010 L_mag=0.0292 L=0.0105 lr=3.00e-04 4162s
31
+ [step 1200] L_p2p=0.0011 L_mag=0.0298 L=0.0110 lr=3.00e-04 4340s
32
+ [step 1250] L_p2p=0.0010 L_mag=0.0250 L=0.0106 lr=2.99e-04 4523s
33
+ [step 1300] L_p2p=0.0010 L_mag=0.0186 L=0.0101 lr=2.99e-04 4699s
34
+ [step 1350] L_p2p=0.0010 L_mag=0.0268 L=0.0100 lr=2.99e-04 4874s
35
+ [step 1400] L_p2p=0.0010 L_mag=0.0249 L=0.0104 lr=2.99e-04 5059s
36
+ [step 1450] L_p2p=0.0010 L_mag=0.0278 L=0.0101 lr=2.98e-04 5235s
37
+ [step 1500] L_p2p=0.0011 L_mag=0.0254 L=0.0108 lr=2.98e-04 5410s
38
+ [monitor 1500] drift_mean=0.0430 drift_p50=0.0365 drift_p90=0.0683 drift_p95=0.0923 drift_max=0.1452 hausdorff_mean=0.1142 hausdorff_p50=0.1124 hausdorff_p90=0.1473 hausdorff_p95=0.1735 hausdorff_max=0.2460 type_root/n=3.0000 type_root/drift_mean=0.0194 type_root/hausdorff_mean=0.1191 type_root/hausdorff_p90=0.1386 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0437 type_effector_mid/hausdorff_mean=0.0871 type_effector_mid/hausdorff_p90=0.1301 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0726 type_effector_last/hausdorff_mean=0.1331 type_effector_last/hausdorff_p90=0.2176 step=1500.0000
39
+ saved experiments/untimed_path/run-001/ckpt/best.pt (hausdorff_mean=0.1142)
40
+ [step 1550] L_p2p=0.0010 L_mag=0.0236 L=0.0100 lr=2.97e-04 5619s
41
+ [step 1600] L_p2p=0.0009 L_mag=0.0206 L=0.0092 lr=2.97e-04 5794s
42
+ [step 1650] L_p2p=0.0009 L_mag=0.0216 L=0.0096 lr=2.96e-04 5969s
43
+ [step 1700] L_p2p=0.0011 L_mag=0.0220 L=0.0109 lr=2.96e-04 6153s
44
+ [step 1750] L_p2p=0.0010 L_mag=0.0202 L=0.0100 lr=2.95e-04 6326s
45
+ [step 1800] L_p2p=0.0009 L_mag=0.0179 L=0.0094 lr=2.94e-04 6498s
46
+ [step 1850] L_p2p=0.0009 L_mag=0.0211 L=0.0092 lr=2.93e-04 6673s
47
+ [step 1900] L_p2p=0.0009 L_mag=0.0220 L=0.0089 lr=2.93e-04 6854s
48
+ [step 1950] L_p2p=0.0010 L_mag=0.0308 L=0.0099 lr=2.92e-04 7027s
49
+ [step 2000] L_p2p=0.0009 L_mag=0.0216 L=0.0088 lr=2.91e-04 7200s
50
+ [monitor 2000] drift_mean=0.1391 drift_p50=0.1365 drift_p90=0.2262 drift_p95=0.2809 drift_max=0.3918 hausdorff_mean=0.1533 hausdorff_p50=0.1469 hausdorff_p90=0.2272 hausdorff_p95=0.2418 hausdorff_max=0.2584 type_root/n=3.0000 type_root/drift_mean=0.1278 type_root/hausdorff_mean=0.2278 type_root/hausdorff_p90=0.2504 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.1424 type_effector_mid/hausdorff_mean=0.1054 type_effector_mid/hausdorff_p90=0.1453 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.1678 type_effector_last/hausdorff_mean=0.1315 type_effector_last/hausdorff_p90=0.1441 step=2000.0000
51
+ saved experiments/untimed_path/run-001/ckpt/step_0002000.pt
52
+ [step 2050] L_p2p=0.0008 L_mag=0.0155 L=0.0086 lr=2.90e-04 7406s
53
+ [step 2100] L_p2p=0.0008 L_mag=0.0196 L=0.0084 lr=2.89e-04 7581s
54
+ [step 2150] L_p2p=0.0009 L_mag=0.0212 L=0.0092 lr=2.88e-04 7755s
55
+ [step 2200] L_p2p=0.0009 L_mag=0.0209 L=0.0087 lr=2.87e-04 7936s
56
+ [step 2250] L_p2p=0.0008 L_mag=0.0208 L=0.0083 lr=2.86e-04 8108s
57
+ [step 2300] L_p2p=0.0009 L_mag=0.0278 L=0.0095 lr=2.85e-04 8281s
58
+ [step 2350] L_p2p=0.0009 L_mag=0.0207 L=0.0087 lr=2.84e-04 8456s
59
+ [step 2400] L_p2p=0.0008 L_mag=0.0210 L=0.0087 lr=2.82e-04 8636s
60
+ [step 2450] L_p2p=0.0009 L_mag=0.0173 L=0.0096 lr=2.81e-04 8810s
61
+ [step 2500] L_p2p=0.0009 L_mag=0.0195 L=0.0088 lr=2.80e-04 8983s
62
+ [monitor 2500] drift_mean=0.0256 drift_p50=0.0238 drift_p90=0.0304 drift_p95=0.0418 drift_max=0.0706 hausdorff_mean=0.0828 hausdorff_p50=0.0885 hausdorff_p90=0.1026 hausdorff_p95=0.1197 hausdorff_max=0.1663 type_root/n=3.0000 type_root/drift_mean=0.0175 type_root/hausdorff_mean=0.0943 type_root/hausdorff_p90=0.0963 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0328 type_effector_mid/hausdorff_mean=0.0619 type_effector_mid/hausdorff_p90=0.0813 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0271 type_effector_last/hausdorff_mean=0.0731 type_effector_last/hausdorff_p90=0.0969 step=2500.0000
63
+ saved experiments/untimed_path/run-001/ckpt/best.pt (hausdorff_mean=0.0828)
64
+ [step 2550] L_p2p=0.0009 L_mag=0.0256 L=0.0092 lr=2.79e-04 9196s
65
+ [step 2600] L_p2p=0.0009 L_mag=0.0161 L=0.0089 lr=2.77e-04 9369s
66
+ [step 2650] L_p2p=0.0007 L_mag=0.0187 L=0.0075 lr=2.76e-04 9542s
67
+ [step 2700] L_p2p=0.0009 L_mag=0.0238 L=0.0090 lr=2.74e-04 9722s
68
+ [step 2750] L_p2p=0.0008 L_mag=0.0196 L=0.0081 lr=2.73e-04 9894s
69
+ [step 2800] L_p2p=0.0009 L_mag=0.0266 L=0.0093 lr=2.71e-04 10067s
70
+ [step 2850] L_p2p=0.0008 L_mag=0.0194 L=0.0083 lr=2.70e-04 10239s
71
+ [step 2900] L_p2p=0.0008 L_mag=0.0240 L=0.0086 lr=2.68e-04 10419s
72
+ [step 2950] L_p2p=0.0008 L_mag=0.0187 L=0.0082 lr=2.67e-04 10594s
73
+ [step 3000] L_p2p=0.0008 L_mag=0.0207 L=0.0082 lr=2.65e-04 10766s
74
+ [monitor 3000] drift_mean=0.0235 drift_p50=0.0211 drift_p90=0.0310 drift_p95=0.0367 drift_max=0.0480 hausdorff_mean=0.0683 hausdorff_p50=0.0732 hausdorff_p90=0.0840 hausdorff_p95=0.0867 hausdorff_max=0.0922 type_root/n=3.0000 type_root/drift_mean=0.0233 type_root/hausdorff_mean=0.0760 type_root/hausdorff_p90=0.0780 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0272 type_effector_mid/hausdorff_mean=0.0621 type_effector_mid/hausdorff_p90=0.0773 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0235 type_effector_last/hausdorff_mean=0.0572 type_effector_last/hausdorff_p90=0.0763 step=3000.0000
75
+ saved experiments/untimed_path/run-001/ckpt/best.pt (hausdorff_mean=0.0683)
76
+ [step 3050] L_p2p=0.0008 L_mag=0.0205 L=0.0082 lr=2.63e-04 10972s
77
+ [step 3100] L_p2p=0.0007 L_mag=0.0235 L=0.0075 lr=2.61e-04 11146s
78
+ [step 3150] L_p2p=0.0008 L_mag=0.0130 L=0.0081 lr=2.60e-04 11318s
79
+ [step 3200] L_p2p=0.0008 L_mag=0.0220 L=0.0084 lr=2.58e-04 11498s
80
+ [step 3250] L_p2p=0.0008 L_mag=0.0133 L=0.0082 lr=2.56e-04 11671s
81
+ [step 3300] L_p2p=0.0009 L_mag=0.0197 L=0.0090 lr=2.54e-04 11844s
82
+ [step 3350] L_p2p=0.0008 L_mag=0.0173 L=0.0082 lr=2.52e-04 12016s
83
+ [step 3400] L_p2p=0.0008 L_mag=0.0185 L=0.0080 lr=2.50e-04 12196s
84
+ [step 3450] L_p2p=0.0007 L_mag=0.0197 L=0.0074 lr=2.48e-04 12369s
85
+ [step 3500] L_p2p=0.0008 L_mag=0.0266 L=0.0082 lr=2.46e-04 12542s
86
+ [monitor 3500] drift_mean=0.0202 drift_p50=0.0227 drift_p90=0.0271 drift_p95=0.0295 drift_max=0.0302 hausdorff_mean=0.0658 hausdorff_p50=0.0633 hausdorff_p90=0.0977 hausdorff_p95=0.1061 hausdorff_max=0.1216 type_root/n=3.0000 type_root/drift_mean=0.0237 type_root/hausdorff_mean=0.0586 type_root/hausdorff_p90=0.0624 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0170 type_effector_mid/hausdorff_mean=0.0701 type_effector_mid/hausdorff_p90=0.1080 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0180 type_effector_last/hausdorff_mean=0.0631 type_effector_last/hausdorff_p90=0.0907 step=3500.0000
87
+ saved experiments/untimed_path/run-001/ckpt/best.pt (hausdorff_mean=0.0658)
88
+ [step 3550] L_p2p=0.0008 L_mag=0.0138 L=0.0077 lr=2.44e-04 12757s
89
+ [step 3600] L_p2p=0.0007 L_mag=0.0191 L=0.0076 lr=2.42e-04 12932s
90
+ [step 3650] L_p2p=0.0008 L_mag=0.0208 L=0.0081 lr=2.40e-04 13106s
91
+ [step 3700] L_p2p=0.0008 L_mag=0.0205 L=0.0083 lr=2.38e-04 13287s
92
+ [step 3750] L_p2p=0.0008 L_mag=0.0155 L=0.0080 lr=2.36e-04 13461s
93
+ [step 3800] L_p2p=0.0008 L_mag=0.0164 L=0.0080 lr=2.34e-04 13636s
94
+ [step 3850] L_p2p=0.0008 L_mag=0.0231 L=0.0082 lr=2.32e-04 13820s
95
+ [step 3900] L_p2p=0.0008 L_mag=0.0175 L=0.0079 lr=2.29e-04 13995s
96
+ [step 3950] L_p2p=0.0008 L_mag=0.0193 L=0.0080 lr=2.27e-04 14168s
97
+ [step 4000] L_p2p=0.0008 L_mag=0.0197 L=0.0082 lr=2.25e-04 14349s
98
+ [monitor 4000] drift_mean=0.0212 drift_p50=0.0207 drift_p90=0.0299 drift_p95=0.0316 drift_max=0.0340 hausdorff_mean=0.0702 hausdorff_p50=0.0706 hausdorff_p90=0.0937 hausdorff_p95=0.1000 hausdorff_max=0.1010 type_root/n=3.0000 type_root/drift_mean=0.0265 type_root/hausdorff_mean=0.0680 type_root/hausdorff_p90=0.0748 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0200 type_effector_mid/hausdorff_mean=0.0684 type_effector_mid/hausdorff_p90=0.0837 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0202 type_effector_last/hausdorff_mean=0.0685 type_effector_last/hausdorff_p90=0.0918 step=4000.0000
99
+ saved experiments/untimed_path/run-001/ckpt/step_0004000.pt
100
+ [step 4050] L_p2p=0.0008 L_mag=0.0183 L=0.0079 lr=2.23e-04 14549s
101
+ [step 4100] L_p2p=0.0007 L_mag=0.0158 L=0.0072 lr=2.20e-04 14724s
102
+ [step 4150] L_p2p=0.0008 L_mag=0.0155 L=0.0085 lr=2.18e-04 14906s
103
+ [step 4200] L_p2p=0.0007 L_mag=0.0145 L=0.0076 lr=2.16e-04 15080s
104
+ [step 4250] L_p2p=0.0007 L_mag=0.0125 L=0.0076 lr=2.13e-04 15254s
105
+ [step 4300] L_p2p=0.0007 L_mag=0.0180 L=0.0076 lr=2.11e-04 15428s
106
+ [step 4350] L_p2p=0.0008 L_mag=0.0188 L=0.0078 lr=2.09e-04 15610s
107
+ [step 4400] L_p2p=0.0007 L_mag=0.0166 L=0.0071 lr=2.06e-04 15783s
108
+ [step 4450] L_p2p=0.0007 L_mag=0.0174 L=0.0070 lr=2.04e-04 15955s
109
+ [step 4500] L_p2p=0.0007 L_mag=0.0168 L=0.0075 lr=2.01e-04 16135s
110
+ [monitor 4500] drift_mean=0.0223 drift_p50=0.0214 drift_p90=0.0324 drift_p95=0.0349 drift_max=0.0351 hausdorff_mean=0.0643 hausdorff_p50=0.0634 hausdorff_p90=0.0852 hausdorff_p95=0.0873 hausdorff_max=0.0931 type_root/n=3.0000 type_root/drift_mean=0.0303 type_root/hausdorff_mean=0.0588 type_root/hausdorff_p90=0.0619 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0181 type_effector_mid/hausdorff_mean=0.0619 type_effector_mid/hausdorff_p90=0.0805 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0176 type_effector_last/hausdorff_mean=0.0641 type_effector_last/hausdorff_p90=0.0845 step=4500.0000
111
+ saved experiments/untimed_path/run-001/ckpt/best.pt (hausdorff_mean=0.0643)
112
+ [step 4550] L_p2p=0.0008 L_mag=0.0188 L=0.0083 lr=1.99e-04 16335s
113
+ [step 4600] L_p2p=0.0007 L_mag=0.0213 L=0.0075 lr=1.96e-04 16508s
114
+ [step 4650] L_p2p=0.0008 L_mag=0.0157 L=0.0077 lr=1.94e-04 16688s
115
+ [step 4700] L_p2p=0.0007 L_mag=0.0126 L=0.0071 lr=1.91e-04 16862s
116
+ [step 4750] L_p2p=0.0008 L_mag=0.0165 L=0.0080 lr=1.89e-04 17035s
117
+ [step 4800] L_p2p=0.0008 L_mag=0.0127 L=0.0086 lr=1.86e-04 17221s
118
+ [step 4850] L_p2p=0.0008 L_mag=0.0149 L=0.0079 lr=1.84e-04 17401s
119
+ [step 4900] L_p2p=0.0009 L_mag=0.0185 L=0.0092 lr=1.81e-04 17574s
120
+ [step 4950] L_p2p=0.0007 L_mag=0.0143 L=0.0074 lr=1.79e-04 17747s
121
+ [step 5000] L_p2p=0.0008 L_mag=0.0170 L=0.0080 lr=1.76e-04 17928s
122
+ [monitor 5000] drift_mean=0.0200 drift_p50=0.0221 drift_p90=0.0266 drift_p95=0.0278 drift_max=0.0304 hausdorff_mean=0.0619 hausdorff_p50=0.0680 hausdorff_p90=0.0800 hausdorff_p95=0.0873 hausdorff_max=0.0948 type_root/n=3.0000 type_root/drift_mean=0.0265 type_root/hausdorff_mean=0.0583 type_root/hausdorff_p90=0.0660 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0154 type_effector_mid/hausdorff_mean=0.0555 type_effector_mid/hausdorff_p90=0.0732 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0214 type_effector_last/hausdorff_mean=0.0585 type_effector_last/hausdorff_p90=0.0777 step=5000.0000
123
+ saved experiments/untimed_path/run-001/ckpt/best.pt (hausdorff_mean=0.0619)
124
+ [step 5050] L_p2p=0.0008 L_mag=0.0196 L=0.0080 lr=1.73e-04 18126s
125
+ [step 5100] L_p2p=0.0007 L_mag=0.0190 L=0.0077 lr=1.71e-04 18301s
126
+ [step 5150] L_p2p=0.0007 L_mag=0.0117 L=0.0072 lr=1.68e-04 18481s
127
+ [step 5200] L_p2p=0.0007 L_mag=0.0121 L=0.0072 lr=1.66e-04 18654s
128
+ [step 5250] L_p2p=0.0007 L_mag=0.0149 L=0.0071 lr=1.63e-04 18828s
129
+ [step 5300] L_p2p=0.0008 L_mag=0.0232 L=0.0080 lr=1.60e-04 19009s
130
+ [step 5350] L_p2p=0.0007 L_mag=0.0250 L=0.0070 lr=1.58e-04 19182s
131
+ [step 5400] L_p2p=0.0007 L_mag=0.0158 L=0.0071 lr=1.55e-04 19355s
132
+ [step 5450] L_p2p=0.0007 L_mag=0.0164 L=0.0072 lr=1.53e-04 19529s
133
+ [step 5500] L_p2p=0.0007 L_mag=0.0185 L=0.0073 lr=1.50e-04 19712s
134
+ [monitor 5500] drift_mean=0.0189 drift_p50=0.0181 drift_p90=0.0256 drift_p95=0.0259 drift_max=0.0267 hausdorff_mean=0.0573 hausdorff_p50=0.0509 hausdorff_p90=0.0772 hausdorff_p95=0.0823 hausdorff_max=0.0899 type_root/n=3.0000 type_root/drift_mean=0.0217 type_root/hausdorff_mean=0.0517 type_root/hausdorff_p90=0.0601 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0192 type_effector_mid/hausdorff_mean=0.0536 type_effector_mid/hausdorff_p90=0.0631 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0185 type_effector_last/hausdorff_mean=0.0565 type_effector_last/hausdorff_p90=0.0806 step=5500.0000
135
+ saved experiments/untimed_path/run-001/ckpt/best.pt (hausdorff_mean=0.0573)
136
+ [step 5550] L_p2p=0.0008 L_mag=0.0216 L=0.0078 lr=1.47e-04 19914s
137
+ [step 5600] L_p2p=0.0007 L_mag=0.0161 L=0.0067 lr=1.45e-04 20096s
138
+ [step 5650] L_p2p=0.0008 L_mag=0.0169 L=0.0077 lr=1.42e-04 20269s
139
+ [step 5700] L_p2p=0.0007 L_mag=0.0105 L=0.0073 lr=1.40e-04 20442s
140
+ [step 5750] L_p2p=0.0006 L_mag=0.0132 L=0.0064 lr=1.37e-04 20622s
141
+ [step 5800] L_p2p=0.0008 L_mag=0.0178 L=0.0085 lr=1.34e-04 20795s
142
+ [step 5850] L_p2p=0.0007 L_mag=0.0156 L=0.0069 lr=1.32e-04 20968s
143
+ [step 5900] L_p2p=0.0007 L_mag=0.0162 L=0.0076 lr=1.29e-04 21141s
144
+ [step 5950] L_p2p=0.0007 L_mag=0.0210 L=0.0076 lr=1.27e-04 21322s
145
+ [step 6000] L_p2p=0.0007 L_mag=0.0147 L=0.0074 lr=1.24e-04 21495s
146
+ [monitor 6000] drift_mean=0.0216 drift_p50=0.0226 drift_p90=0.0268 drift_p95=0.0271 drift_max=0.0280 hausdorff_mean=0.0640 hausdorff_p50=0.0606 hausdorff_p90=0.0810 hausdorff_p95=0.0873 hausdorff_max=0.1010 type_root/n=3.0000 type_root/drift_mean=0.0243 type_root/hausdorff_mean=0.0521 type_root/hausdorff_p90=0.0576 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0203 type_effector_mid/hausdorff_mean=0.0617 type_effector_mid/hausdorff_p90=0.0721 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0169 type_effector_last/hausdorff_mean=0.0682 type_effector_last/hausdorff_p90=0.0922 step=6000.0000
147
+ saved experiments/untimed_path/run-001/ckpt/step_0006000.pt
148
+ [step 6050] L_p2p=0.0008 L_mag=0.0208 L=0.0079 lr=1.21e-04 21698s
149
+ [step 6100] L_p2p=0.0007 L_mag=0.0178 L=0.0069 lr=1.19e-04 21880s
150
+ [step 6150] L_p2p=0.0007 L_mag=0.0141 L=0.0071 lr=1.16e-04 22054s
151
+ [step 6200] L_p2p=0.0007 L_mag=0.0132 L=0.0069 lr=1.14e-04 22226s
152
+ [step 6250] L_p2p=0.0008 L_mag=0.0142 L=0.0077 lr=1.11e-04 22407s
153
+ [step 6300] L_p2p=0.0007 L_mag=0.0150 L=0.0069 lr=1.09e-04 22580s
154
+ [step 6350] L_p2p=0.0007 L_mag=0.0216 L=0.0071 lr=1.06e-04 22753s
155
+ [step 6400] L_p2p=0.0007 L_mag=0.0136 L=0.0073 lr=1.04e-04 22934s
156
+ [step 6450] L_p2p=0.0007 L_mag=0.0171 L=0.0076 lr=1.01e-04 23107s
157
+ [step 6500] L_p2p=0.0007 L_mag=0.0124 L=0.0068 lr=9.87e-05 23279s
158
+ [monitor 6500] drift_mean=0.0188 drift_p50=0.0193 drift_p90=0.0246 drift_p95=0.0253 drift_max=0.0258 hausdorff_mean=0.0580 hausdorff_p50=0.0495 hausdorff_p90=0.0824 hausdorff_p95=0.0860 hausdorff_max=0.0925 type_root/n=3.0000 type_root/drift_mean=0.0213 type_root/hausdorff_mean=0.0440 type_root/hausdorff_p90=0.0514 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0181 type_effector_mid/hausdorff_mean=0.0530 type_effector_mid/hausdorff_p90=0.0667 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0202 type_effector_last/hausdorff_mean=0.0604 type_effector_last/hausdorff_p90=0.0836 step=6500.0000
159
+ [step 6550] L_p2p=0.0007 L_mag=0.0162 L=0.0073 lr=9.62e-05 23485s
160
+ [step 6600] L_p2p=0.0007 L_mag=0.0175 L=0.0076 lr=9.38e-05 23657s
161
+ [step 6650] L_p2p=0.0007 L_mag=0.0138 L=0.0072 lr=9.14e-05 23831s
162
+ [step 6700] L_p2p=0.0007 L_mag=0.0138 L=0.0068 lr=8.90e-05 24003s
163
+ [step 6750] L_p2p=0.0007 L_mag=0.0139 L=0.0069 lr=8.66e-05 24185s
164
+ [step 6800] L_p2p=0.0007 L_mag=0.0133 L=0.0074 lr=8.42e-05 24357s
165
+ [step 6850] L_p2p=0.0007 L_mag=0.0149 L=0.0074 lr=8.19e-05 24530s
166
+ [step 6900] L_p2p=0.0007 L_mag=0.0179 L=0.0070 lr=7.96e-05 24711s
167
+ [step 6950] L_p2p=0.0006 L_mag=0.0172 L=0.0065 lr=7.73e-05 24884s
168
+ [step 7000] L_p2p=0.0006 L_mag=0.0200 L=0.0067 lr=7.50e-05 25057s
169
+ [monitor 7000] drift_mean=0.0188 drift_p50=0.0191 drift_p90=0.0230 drift_p95=0.0233 drift_max=0.0240 hausdorff_mean=0.0613 hausdorff_p50=0.0518 hausdorff_p90=0.0813 hausdorff_p95=0.0870 hausdorff_max=0.1010 type_root/n=3.0000 type_root/drift_mean=0.0176 type_root/hausdorff_mean=0.0468 type_root/hausdorff_p90=0.0515 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0193 type_effector_mid/hausdorff_mean=0.0586 type_effector_mid/hausdorff_p90=0.0767 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0167 type_effector_last/hausdorff_mean=0.0652 type_effector_last/hausdorff_p90=0.0906 step=7000.0000
170
+ [step 7050] L_p2p=0.0007 L_mag=0.0153 L=0.0070 lr=7.27e-05 25265s
171
+ [step 7100] L_p2p=0.0007 L_mag=0.0147 L=0.0067 lr=7.05e-05 25442s
172
+ [step 7150] L_p2p=0.0007 L_mag=0.0163 L=0.0070 lr=6.83e-05 25619s
173
+ [step 7200] L_p2p=0.0007 L_mag=0.0150 L=0.0070 lr=6.61e-05 25799s
174
+ [step 7250] L_p2p=0.0007 L_mag=0.0173 L=0.0071 lr=6.40e-05 25972s
175
+ [step 7300] L_p2p=0.0006 L_mag=0.0126 L=0.0065 lr=6.18e-05 26144s
176
+ [step 7350] L_p2p=0.0006 L_mag=0.0179 L=0.0066 lr=5.97e-05 26319s
177
+ [step 7400] L_p2p=0.0007 L_mag=0.0161 L=0.0069 lr=5.77e-05 26499s
178
+ [step 7450] L_p2p=0.0007 L_mag=0.0171 L=0.0073 lr=5.56e-05 26672s
179
+ [step 7500] L_p2p=0.0006 L_mag=0.0182 L=0.0065 lr=5.36e-05 26844s
180
+ [monitor 7500] drift_mean=0.0197 drift_p50=0.0204 drift_p90=0.0248 drift_p95=0.0252 drift_max=0.0256 hausdorff_mean=0.0576 hausdorff_p50=0.0579 hausdorff_p90=0.0862 hausdorff_p95=0.0940 hausdorff_max=0.1010 type_root/n=3.0000 type_root/drift_mean=0.0208 type_root/hausdorff_mean=0.0449 type_root/hausdorff_p90=0.0588 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0191 type_effector_mid/hausdorff_mean=0.0539 type_effector_mid/hausdorff_p90=0.0750 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0205 type_effector_last/hausdorff_mean=0.0573 type_effector_last/hausdorff_p90=0.0889 step=7500.0000
181
+ [step 7550] L_p2p=0.0007 L_mag=0.0166 L=0.0072 lr=5.16e-05 27053s
182
+ [step 7600] L_p2p=0.0007 L_mag=0.0180 L=0.0076 lr=4.96e-05 27226s
183
+ [step 7650] L_p2p=0.0007 L_mag=0.0185 L=0.0067 lr=4.77e-05 27398s
184
+ [step 7700] L_p2p=0.0006 L_mag=0.0179 L=0.0063 lr=4.58e-05 27579s
185
+ [step 7750] L_p2p=0.0006 L_mag=0.0172 L=0.0063 lr=4.39e-05 27752s
186
+ [step 7800] L_p2p=0.0007 L_mag=0.0136 L=0.0067 lr=4.21e-05 27925s
187
+ [step 7850] L_p2p=0.0007 L_mag=0.0136 L=0.0071 lr=4.03e-05 28106s
188
+ [step 7900] L_p2p=0.0007 L_mag=0.0179 L=0.0068 lr=3.85e-05 28278s
189
+ [step 7950] L_p2p=0.0006 L_mag=0.0169 L=0.0064 lr=3.68e-05 28450s
190
+ [step 8000] L_p2p=0.0007 L_mag=0.0199 L=0.0071 lr=3.51e-05 28631s
191
+ [monitor 8000] drift_mean=0.0205 drift_p50=0.0214 drift_p90=0.0262 drift_p95=0.0270 drift_max=0.0282 hausdorff_mean=0.0669 hausdorff_p50=0.0640 hausdorff_p90=0.0967 hausdorff_p95=0.1009 hausdorff_max=0.1010 type_root/n=3.0000 type_root/drift_mean=0.0268 type_root/hausdorff_mean=0.0603 type_root/hausdorff_p90=0.0644 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0190 type_effector_mid/hausdorff_mean=0.0609 type_effector_mid/hausdorff_p90=0.0783 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0152 type_effector_last/hausdorff_mean=0.0641 type_effector_last/hausdorff_p90=0.0906 step=8000.0000
192
+ saved experiments/untimed_path/run-001/ckpt/step_0008000.pt
193
+ [step 8050] L_p2p=0.0007 L_mag=0.0188 L=0.0072 lr=3.34e-05 28831s
194
+ [step 8100] L_p2p=0.0007 L_mag=0.0125 L=0.0069 lr=3.18e-05 29003s
195
+ [step 8150] L_p2p=0.0007 L_mag=0.0123 L=0.0070 lr=3.02e-05 29175s
196
+ [step 8200] L_p2p=0.0006 L_mag=0.0137 L=0.0065 lr=2.86e-05 29356s
197
+ [step 8250] L_p2p=0.0007 L_mag=0.0125 L=0.0072 lr=2.71e-05 29529s
198
+ [step 8300] L_p2p=0.0007 L_mag=0.0193 L=0.0071 lr=2.56e-05 29702s
199
+ [step 8350] L_p2p=0.0007 L_mag=0.0202 L=0.0068 lr=2.42e-05 29887s
200
+ [step 8400] L_p2p=0.0007 L_mag=0.0134 L=0.0071 lr=2.28e-05 30065s
201
+ [step 8450] L_p2p=0.0006 L_mag=0.0141 L=0.0062 lr=2.14e-05 30236s
202
+ [step 8500] L_p2p=0.0006 L_mag=0.0158 L=0.0066 lr=2.01e-05 30419s
203
+ [monitor 8500] drift_mean=0.0201 drift_p50=0.0213 drift_p90=0.0254 drift_p95=0.0266 drift_max=0.0286 hausdorff_mean=0.0635 hausdorff_p50=0.0546 hausdorff_p90=0.0878 hausdorff_p95=0.0918 hausdorff_max=0.1010 type_root/n=3.0000 type_root/drift_mean=0.0217 type_root/hausdorff_mean=0.0501 type_root/hausdorff_p90=0.0549 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0196 type_effector_mid/hausdorff_mean=0.0586 type_effector_mid/hausdorff_p90=0.0760 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0174 type_effector_last/hausdorff_mean=0.0637 type_effector_last/hausdorff_p90=0.0906 step=8500.0000
204
+ [step 8550] L_p2p=0.0006 L_mag=0.0111 L=0.0060 lr=1.88e-05 30622s
205
+ [step 8600] L_p2p=0.0007 L_mag=0.0152 L=0.0067 lr=1.76e-05 30795s
206
+ [step 8650] L_p2p=0.0007 L_mag=0.0154 L=0.0074 lr=1.63e-05 30983s
207
+ [step 8700] L_p2p=0.0007 L_mag=0.0156 L=0.0068 lr=1.52e-05 31160s
208
+ [step 8750] L_p2p=0.0006 L_mag=0.0129 L=0.0059 lr=1.41e-05 31341s
209
+ [step 8800] L_p2p=0.0006 L_mag=0.0134 L=0.0063 lr=1.30e-05 31524s
210
+ [step 8850] L_p2p=0.0006 L_mag=0.0166 L=0.0064 lr=1.19e-05 31697s
211
+ [step 8900] L_p2p=0.0006 L_mag=0.0146 L=0.0063 lr=1.09e-05 31869s
212
+ [step 8950] L_p2p=0.0007 L_mag=0.0136 L=0.0068 lr=9.96e-06 32043s
213
+ [step 9000] L_p2p=0.0006 L_mag=0.0149 L=0.0057 lr=9.05e-06 32233s
214
+ [monitor 9000] drift_mean=0.0187 drift_p50=0.0197 drift_p90=0.0237 drift_p95=0.0241 drift_max=0.0251 hausdorff_mean=0.0609 hausdorff_p50=0.0569 hausdorff_p90=0.0903 hausdorff_p95=0.0962 hausdorff_max=0.1010 type_root/n=3.0000 type_root/drift_mean=0.0210 type_root/hausdorff_mean=0.0473 type_root/hausdorff_p90=0.0558 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0187 type_effector_mid/hausdorff_mean=0.0592 type_effector_mid/hausdorff_p90=0.0772 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0138 type_effector_last/hausdorff_mean=0.0571 type_effector_last/hausdorff_p90=0.0888 step=9000.0000
215
+ [step 9050] L_p2p=0.0007 L_mag=0.0181 L=0.0073 lr=8.17e-06 32443s
216
+ [step 9100] L_p2p=0.0006 L_mag=0.0158 L=0.0066 lr=7.34e-06 32626s
217
+ [step 9150] L_p2p=0.0006 L_mag=0.0154 L=0.0066 lr=6.55e-06 32817s
218
+ [step 9200] L_p2p=0.0007 L_mag=0.0188 L=0.0068 lr=5.81e-06 33001s
219
+ [step 9250] L_p2p=0.0006 L_mag=0.0149 L=0.0066 lr=5.11e-06 33186s
220
+ [step 9300] L_p2p=0.0006 L_mag=0.0133 L=0.0065 lr=4.46e-06 33370s
221
+ [step 9350] L_p2p=0.0007 L_mag=0.0167 L=0.0068 lr=3.84e-06 33550s
222
+ [step 9400] L_p2p=0.0007 L_mag=0.0146 L=0.0068 lr=3.28e-06 33732s
223
+ [step 9450] L_p2p=0.0006 L_mag=0.0148 L=0.0066 lr=2.76e-06 33920s
224
+ [step 9500] L_p2p=0.0007 L_mag=0.0151 L=0.0069 lr=2.28e-06 34101s
225
+ [monitor 9500] drift_mean=0.0194 drift_p50=0.0210 drift_p90=0.0250 drift_p95=0.0269 drift_max=0.0272 hausdorff_mean=0.0631 hausdorff_p50=0.0563 hausdorff_p90=0.0887 hausdorff_p95=0.0951 hausdorff_max=0.1010 type_root/n=3.0000 type_root/drift_mean=0.0216 type_root/hausdorff_mean=0.0495 type_root/hausdorff_p90=0.0575 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0185 type_effector_mid/hausdorff_mean=0.0592 type_effector_mid/hausdorff_p90=0.0766 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0152 type_effector_last/hausdorff_mean=0.0635 type_effector_last/hausdorff_p90=0.0906 step=9500.0000
226
+ [step 9550] L_p2p=0.0006 L_mag=0.0147 L=0.0064 lr=1.85e-06 34307s
227
+ [step 9600] L_p2p=0.0006 L_mag=0.0175 L=0.0060 lr=1.46e-06 34492s
228
+ [step 9650] L_p2p=0.0006 L_mag=0.0130 L=0.0058 lr=1.12e-06 34673s
229
+ [step 9700] L_p2p=0.0007 L_mag=0.0202 L=0.0069 lr=8.22e-07 34854s
230
+ [step 9750] L_p2p=0.0007 L_mag=0.0148 L=0.0067 lr=5.71e-07 35035s
231
+ [step 9800] L_p2p=0.0007 L_mag=0.0142 L=0.0073 lr=3.65e-07 35222s
232
+ [step 9850] L_p2p=0.0006 L_mag=0.0130 L=0.0065 lr=2.06e-07 35404s
233
+ [step 9900] L_p2p=0.0006 L_mag=0.0156 L=0.0066 lr=9.14e-08 35587s
234
+ [step 9950] L_p2p=0.0006 L_mag=0.0168 L=0.0059 lr=2.28e-08 35776s
235
+ [step 10000] L_p2p=0.0007 L_mag=0.0158 L=0.0075 lr=0.00e+00 35958s
236
+ [monitor 10000] drift_mean=0.0195 drift_p50=0.0204 drift_p90=0.0241 drift_p95=0.0251 drift_max=0.0261 hausdorff_mean=0.0619 hausdorff_p50=0.0553 hausdorff_p90=0.0835 hausdorff_p95=0.0892 hausdorff_max=0.1010 type_root/n=3.0000 type_root/drift_mean=0.0209 type_root/hausdorff_mean=0.0491 type_root/hausdorff_p90=0.0571 type_effector_mid/n=6.0000 type_effector_mid/drift_mean=0.0179 type_effector_mid/hausdorff_mean=0.0570 type_effector_mid/hausdorff_p90=0.0714 type_effector_last/n=3.0000 type_effector_last/drift_mean=0.0180 type_effector_last/hausdorff_mean=0.0636 type_effector_last/hausdorff_p90=0.0906 step=10000.0000
237
+ saved experiments/untimed_path/run-001/ckpt/step_0010000.pt
experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/files/requirements.txt ADDED
@@ -0,0 +1,273 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ mjlab==1.2.0
2
+ pyliblzfse==0.4.1
3
+ spider==0.1.0
4
+ timm==1.0.26
5
+ resolve-robotics-uri-py==0.4.1
6
+ smplx==0.1.28
7
+ mediapy==1.2.6
8
+ typing_extensions==4.15.0
9
+ fast_simplification==0.1.13
10
+ jax_dataclasses==1.6.3
11
+ prettytable==3.17.0
12
+ ml_dtypes==0.5.4
13
+ natsort==8.4.0
14
+ plyfile==1.1.3
15
+ ConfigArgParse==1.7.5
16
+ opt_einsum==3.4.0
17
+ newton-actuators==0.1.0
18
+ dm-tree==0.1.10
19
+ pyquaternion==0.9.9
20
+ wadler_lindig==0.1.7
21
+ newton-usd-schemas==0.1.0
22
+ alphashape==1.3.1
23
+ rsl-rl-lib==5.0.1
24
+ torchrunx==0.3.4
25
+ ninja==1.13.0
26
+ jaxtyping==0.3.9
27
+ loguru==0.7.3
28
+ jaxls==0.0.0
29
+ pycollada==0.9.3
30
+ OpenEXR==3.4.9
31
+ wheel==0.46.3
32
+ jaxlie==1.5.0
33
+ nbformat==5.10.4
34
+ seaborn==0.13.2
35
+ python-dateutil==2.9.0.post0
36
+ glfw==2.10.0
37
+ pyroki==0.0.0
38
+ termcolor==3.3.0
39
+ nvidia-cuda-nvcc-cu12==12.9.86
40
+ Flask==3.1.3
41
+ tyro==1.0.12
42
+ absl-py==2.4.0
43
+ packaging==26.0
44
+ itsdangerous==2.2.0
45
+ asttokens==3.0.1
46
+ requests==2.33.1
47
+ jax-cuda12-plugin==0.6.2
48
+ decorator==5.2.1
49
+ colorama==0.4.6
50
+ cbor2==5.9.0
51
+ dm-env==1.6
52
+ psutil==7.2.2
53
+ matplotlib-inline==0.2.1
54
+ charset-normalizer==3.4.7
55
+ GitPython==3.1.46
56
+ embreex==2.17.7.post7
57
+ mdurl==0.1.2
58
+ MarkupSafe==3.0.3
59
+ einops==0.8.2
60
+ zipp==3.23.0
61
+ idna==3.11
62
+ Werkzeug==3.1.8
63
+ nodeenv==1.10.0
64
+ importlib_metadata==9.0.0
65
+ pyparsing==3.3.2
66
+ tqdm==4.67.3
67
+ traitlets==5.14.3
68
+ ipython_pygments_lexers==1.1.1
69
+ PyYAML==6.0.3
70
+ pytorch_kinematics==0.9.1
71
+ executing==2.2.1
72
+ Deprecated==1.3.1
73
+ colorlog==6.10.1
74
+ imageio-ffmpeg==0.6.0
75
+ fastjsonschema==2.21.2
76
+ tensordict==0.12.0
77
+ click-log==0.4.0
78
+ orjson==3.11.8
79
+ shellingham==1.5.4
80
+ pexpect==4.9.0
81
+ tensorboard-data-server==0.7.2
82
+ urllib3==2.6.3
83
+ manifold3d==3.4.1
84
+ protobuf==6.33.6
85
+ mapbox_earcut==2.0.0
86
+ icecream==2.2.0
87
+ vhacdx==0.0.10
88
+ smmap==5.0.3
89
+ nvidia-nccl-cu12==2.27.3
90
+ antlr4-python3-runtime==4.9.3
91
+ wcwidth==0.6.0
92
+ cloudpickle==3.1.2
93
+ bcrypt==5.0.0
94
+ ipdb==0.13.13
95
+ nvidia-cufile-cu12==1.14.1.1
96
+ svg.path==7.0
97
+ pyvers==0.2.2
98
+ httpx==0.28.1
99
+ contourpy==1.3.3
100
+ gitdb==4.0.12
101
+ mujoco==3.6.0
102
+ jsonschema-specifications==2025.9.1
103
+ grpcio==1.80.0
104
+ omegaconf==2.3.0
105
+ etils==1.14.0
106
+ robot_descriptions==1.23.0
107
+ rpds-py==0.30.0
108
+ typer==0.24.1
109
+ nvidia-nvtx-cu12==12.9.79
110
+ labmaze==1.0.6
111
+ cycler==0.12.1
112
+ nest-asyncio==1.6.0
113
+ onnx-ir==0.2.0
114
+ nvidia-nvjitlink-cu12==12.9.86
115
+ meshio==5.3.5
116
+ rich==14.3.3
117
+ jsonschema==4.26.0
118
+ retrying==1.4.2
119
+ referencing==0.37.0
120
+ torchaudio==2.8.0+cu129
121
+ markdown-it-py==4.0.0
122
+ websockets==16.0
123
+ lxml==6.0.2
124
+ iniconfig==2.3.0
125
+ rtree==1.4.1
126
+ nvidia-cusparselt-cu12==0.7.1
127
+ torchvision==0.23.0+cu129
128
+ fabric==3.2.3
129
+ xxhash==3.6.0
130
+ execnet==2.1.2
131
+ invoke==2.2.1
132
+ pydantic_core==2.41.5
133
+ narwhals==2.19.0
134
+ cfgv==3.5.0
135
+ trimesh==4.11.5
136
+ paramiko==4.0.0
137
+ blinker==1.9.0
138
+ pillow==12.2.0
139
+ zstandard==0.25.0
140
+ virtualenv==21.2.0
141
+ onnxscript==0.6.2
142
+ cattrs==26.1.0
143
+ pluggy==1.6.0
144
+ jupyter_core==5.9.1
145
+ ipython==9.12.0
146
+ typeguard==4.5.1
147
+ ImageIO==2.37.2
148
+ docstring_parser==0.17.0
149
+ yarl==1.23.0
150
+ annotated-doc==0.0.4
151
+ typing-inspection==0.4.2
152
+ aiosignal==1.4.0
153
+ parso==0.8.6
154
+ annotated-types==0.7.0
155
+ cryptography==46.0.7
156
+ Markdown==3.10.2
157
+ identify==2.6.18
158
+ yourdfpy==0.0.60
159
+ h5py==3.16.0
160
+ pure_eval==0.2.3
161
+ wrapt==2.1.2
162
+ portalocker==3.2.0
163
+ anyio==4.13.0
164
+ httpcore==1.0.9
165
+ stack-data==0.6.3
166
+ multidict==6.7.1
167
+ msgspec==0.20.0
168
+ dash==4.1.0
169
+ click==8.3.2
170
+ tensorboard==2.20.0
171
+ prompt_toolkit==3.0.52
172
+ Pygments==2.20.0
173
+ mpmath==1.3.0
174
+ nvidia-cusolver-cu12==11.7.5.82
175
+ aiohttp==3.13.5
176
+ pyglet==2.1.14
177
+ shapely==2.1.2
178
+ hf-xet==1.4.3
179
+ pytorch-seed==0.2.0
180
+ lsprotocol==2023.0.1
181
+ viser==1.0.26
182
+ ptyprocess==0.7.0
183
+ cffi==2.0.0
184
+ mujoco-warp==3.6.0
185
+ addict==2.4.0
186
+ pydantic==2.12.5
187
+ platformdirs==4.9.4
188
+ propcache==0.4.1
189
+ aiohappyeyeballs==2.6.1
190
+ certifi==2026.2.25
191
+ frozenlist==1.8.0
192
+ h11==0.16.0
193
+ ruff==0.15.9
194
+ python-discovery==1.2.2
195
+ distlib==0.4.0
196
+ pygls==1.3.1
197
+ Jinja2==3.1.6
198
+ attrs==26.1.0
199
+ arm_pytorch_utilities==0.5.0
200
+ joblib==1.5.3
201
+ PyNaCl==1.6.2
202
+ pre_commit==4.5.1
203
+ rerun-sdk==0.26.2
204
+ safetensors==0.7.0
205
+ pytest-xdist==3.8.0
206
+ threadpoolctl==3.6.0
207
+ six==1.17.0
208
+ kiwisolver==1.5.0
209
+ loop-rate-limiters==1.2.0
210
+ pycparser==3.0
211
+ iopath==0.1.10
212
+ pytest==9.0.3
213
+ imgui-bundle==1.92.601
214
+ fonttools==4.62.1
215
+ filelock==3.25.2
216
+ nvidia-cusparse-cu12==12.5.10.65
217
+ nvidia-cuda-cupti-cu12==12.9.79
218
+ setuptools==82.0.1
219
+ huggingface_hub==1.9.2
220
+ nvidia-cuda-runtime-cu12==12.9.79
221
+ jax-cuda12-pjrt==0.6.2
222
+ nvidia-cuda-nvrtc-cu12==12.9.86
223
+ hydra-core==1.3.2
224
+ matplotlib==3.10.8
225
+ sentry-sdk==2.57.0
226
+ nvidia-curand-cu12==10.3.10.19
227
+ fsspec==2026.3.0
228
+ newton==1.1.0rc1
229
+ jax==0.6.2
230
+ torch-geometric==2.7.0
231
+ numpy==2.4.4
232
+ scikit-learn==1.8.0
233
+ networkx==3.6.1
234
+ pandas==3.0.2
235
+ sympy==1.14.0
236
+ jedi==0.19.2
237
+ nvidia-cufft-cu12==11.4.1.4
238
+ nvidia-cuda-cccl-cu12==12.9.27
239
+ plotly==6.6.0
240
+ nvidia-cublas-cu12==12.9.1.4
241
+ nvidia-nvshmem-cu12==3.6.5
242
+ usd-core==26.3
243
+ nvidia-cudnn-cu12==9.10.2.21
244
+ jaxlib==0.6.2
245
+ warp-lang==1.12.0
246
+ opencv-python==4.13.0.92
247
+ open3d==0.19.0
248
+ pymeshlab==2025.7
249
+ scipy==1.17.1
250
+ triton==3.4.0
251
+ PyOpenGL==3.1.10
252
+ wandb==0.25.1
253
+ pyarrow==23.0.1
254
+ dm_control==1.0.38
255
+ onnx==1.21.0
256
+ torch==2.8.0+cu129
257
+ pyg_lib==0.5.0+pt28cu129
258
+ torch_spline_conv==1.2.2+pt28cu129
259
+ torch_scatter==2.1.2+pt28cu129
260
+ torch_cluster==1.6.3+pt28cu129
261
+ torch_sparse==0.6.18+pt28cu129
262
+ flash_attn==2.8.3
263
+ pytorch3d==0.7.9
264
+ coacd==1.0.10
265
+ cumm-cu129==0.8.2
266
+ ccimport==0.4.4
267
+ lark==1.3.1
268
+ pccm==0.4.16
269
+ fire==0.7.1
270
+ spconv-cu129==2.3.8
271
+ genplan==0.1.0
272
+ pybind11==3.0.3
273
+ pyroki==0.0.0
experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/files/wandb-metadata.json ADDED
@@ -0,0 +1,97 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "os": "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
3
+ "python": "CPython 3.12.3",
4
+ "startedAt": "2026-05-11T12:57:25.356332Z",
5
+ "args": [
6
+ "--dataset.h5-path",
7
+ "data/LS_HighStep0_1_augmented/preprocessed.h5",
8
+ "--train.output-dir",
9
+ "experiments/untimed_path",
10
+ "--train.wandb-run-name",
11
+ "window_ls_highstep0_1"
12
+ ],
13
+ "program": "/home/jh/genplan/scripts/contact_plan/train_untimed_path.py",
14
+ "codePath": "scripts/contact_plan/train_untimed_path.py",
15
+ "codePathLocal": "scripts/contact_plan/train_untimed_path.py",
16
+ "git": {
17
+ "remote": "git@github.com:junhyekh/genplan.git",
18
+ "commit": "e3bd83ba3e78e53403936339bb113272fcdd67a7"
19
+ },
20
+ "email": "hhjjhh0425@gmail.com",
21
+ "root": "experiments/untimed_path/run-001",
22
+ "host": "gpu-8",
23
+ "executable": "/home/jh/genplan/.venv/bin/python3",
24
+ "cpu_count": 72,
25
+ "cpu_count_logical": 72,
26
+ "gpu": "NVIDIA B200",
27
+ "gpu_count": 8,
28
+ "disk": {
29
+ "/": {
30
+ "total": "1717986918400",
31
+ "used": "506136170496"
32
+ }
33
+ },
34
+ "memory": {
35
+ "total": "2430205759488"
36
+ },
37
+ "gpu_nvidia": [
38
+ {
39
+ "name": "NVIDIA B200",
40
+ "memoryTotal": "192265846784",
41
+ "cudaCores": 18944,
42
+ "architecture": "Blackwell",
43
+ "uuid": "GPU-4727a056-1974-10be-9146-32255497b65a"
44
+ },
45
+ {
46
+ "name": "NVIDIA B200",
47
+ "memoryTotal": "192265846784",
48
+ "cudaCores": 18944,
49
+ "architecture": "Blackwell",
50
+ "uuid": "GPU-b45e9b40-bf74-0989-4107-0e59dbac396a"
51
+ },
52
+ {
53
+ "name": "NVIDIA B200",
54
+ "memoryTotal": "192265846784",
55
+ "cudaCores": 18944,
56
+ "architecture": "Blackwell",
57
+ "uuid": "GPU-0f419603-bfb4-6847-795f-7c15c5013d2d"
58
+ },
59
+ {
60
+ "name": "NVIDIA B200",
61
+ "memoryTotal": "192265846784",
62
+ "cudaCores": 18944,
63
+ "architecture": "Blackwell",
64
+ "uuid": "GPU-c3521a1e-1283-c964-eabe-274f6e348083"
65
+ },
66
+ {
67
+ "name": "NVIDIA B200",
68
+ "memoryTotal": "192265846784",
69
+ "cudaCores": 18944,
70
+ "architecture": "Blackwell",
71
+ "uuid": "GPU-843aea75-bec0-cb68-4a88-c8651966a272"
72
+ },
73
+ {
74
+ "name": "NVIDIA B200",
75
+ "memoryTotal": "192265846784",
76
+ "cudaCores": 18944,
77
+ "architecture": "Blackwell",
78
+ "uuid": "GPU-b36ed580-1bcc-3e0a-28bd-f377c5035299"
79
+ },
80
+ {
81
+ "name": "NVIDIA B200",
82
+ "memoryTotal": "192265846784",
83
+ "cudaCores": 18944,
84
+ "architecture": "Blackwell",
85
+ "uuid": "GPU-c7d8d9d2-d00d-6df4-8f3d-91e55207a5c8"
86
+ },
87
+ {
88
+ "name": "NVIDIA B200",
89
+ "memoryTotal": "192265846784",
90
+ "cudaCores": 18944,
91
+ "architecture": "Blackwell",
92
+ "uuid": "GPU-5cae1337-a05d-6800-00bb-0343ef5334e5"
93
+ }
94
+ ],
95
+ "cudaVersion": "13.0",
96
+ "writerId": "k52dxa8fqpkcglwk3jbcf8t4gvbnp6wy"
97
+ }
experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/files/wandb-summary.json ADDED
The diff for this file is too large to render. See raw diff
 
experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/logs/debug-core.log ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"time":"2026-05-11T21:57:25.392532147+09:00","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmpmx4bnb5x/port-4115891.txt","pid":4115891,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false,"enable-dcgm-profiling":false}
2
+ {"time":"2026-05-11T21:57:25.392884716+09:00","level":"INFO","msg":"server: will exit if parent process dies","ppid":4115891}
3
+ {"time":"2026-05-11T21:57:25.392869994+09:00","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-4115891-4117062-2857975793/socket","Net":"unix"}}
4
+ {"time":"2026-05-11T21:57:25.582214636+09:00","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"}
5
+ {"time":"2026-05-11T21:57:25.585471796+09:00","level":"INFO","msg":"handleInformInit: received","streamId":"yd62b5rt","id":"1(@)"}
6
+ {"time":"2026-05-11T21:57:26.036018926+09:00","level":"INFO","msg":"handleInformInit: stream started","streamId":"yd62b5rt","id":"1(@)"}
7
+ {"time":"2026-05-11T21:57:35.934464704+09:00","level":"INFO","msg":"connection: cancelling request","id":"1(@)","requestId":"kerr4ryu65rk"}
8
+ {"time":"2026-05-12T07:57:10.880801471+09:00","level":"INFO","msg":"connection: cancelling request","id":"1(@)","requestId":"kerr4ryu65rk"}
9
+ {"time":"2026-05-12T07:57:13.061825094+09:00","level":"INFO","msg":"connection: cancelling request","id":"1(@)","requestId":"kerr4ryu65rk"}
10
+ {"time":"2026-05-12T07:57:13.062454499+09:00","level":"INFO","msg":"handleInformFinish: finish message received","streamId":"yd62b5rt","id":"1(@)"}
11
+ {"time":"2026-05-12T07:57:13.062890634+09:00","level":"INFO","msg":"handleInformFinish: stream closed","streamId":"yd62b5rt","id":"1(@)"}
12
+ {"time":"2026-05-12T07:57:13.207076712+09:00","level":"INFO","msg":"handleInformTeardown: server teardown initiated","id":"1(@)"}
13
+ {"time":"2026-05-12T07:57:13.207117413+09:00","level":"INFO","msg":"handleInformTeardown: server shutdown complete","id":"1(@)"}
14
+ {"time":"2026-05-12T07:57:13.207125465+09:00","level":"INFO","msg":"connection: closing","id":"1(@)"}
15
+ {"time":"2026-05-12T07:57:13.20714241+09:00","level":"INFO","msg":"server is shutting down"}
16
+ {"time":"2026-05-12T07:57:13.207163963+09:00","level":"INFO","msg":"connection: closed successfully","id":"1(@)"}
17
+ {"time":"2026-05-12T07:57:13.207194959+09:00","level":"INFO","msg":"connection: ManageConnectionData: connection closed","id":"1(@)"}
18
+ {"time":"2026-05-12T07:57:13.207238535+09:00","level":"INFO","msg":"server: listener closed","addr":{"Name":"/tmp/wandb-4115891-4117062-2857975793/socket","Net":"unix"}}
19
+ {"time":"2026-05-12T07:57:13.2072821+09:00","level":"INFO","msg":"server is closed"}
experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/logs/debug-internal.log ADDED
The diff for this file is too large to render. See raw diff
 
experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/logs/debug.log ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_setup.py:_flush():81] Current SDK version is 0.25.1
2
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_setup.py:_flush():81] Configure stats pid to 4115891
3
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_setup.py:_flush():81] Loading settings from environment variables
4
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_init.py:setup_run_log_directory():717] Logging user logs to experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/logs/debug.log
5
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_init.py:setup_run_log_directory():718] Logging internal logs to experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/logs/debug-internal.log
6
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_init.py:init():844] calling init triggers
7
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_init.py:init():849] wandb.init called with sweep_config: {}
8
+ config: {'dataset': {'h5_path': 'data/LS_HighStep0_1_augmented/preprocessed.h5', 'target_spacing_m': 0.05, 'K_min': 2, 'K_max': 256, 'min_segment_length_m': 0.1, 'skip_degenerate': True, 'preparation': {'dedup_enabled': True, 'min_velocity_m_s': 2.0}, 'spline': {'cp_spacing_m': 0.25, 'min_cp': 4, 'max_cp': 16, 'degree': 3}, 'include_segment_types': ['effector_first', 'effector_mid', 'effector_last', 'root', 'no_contact_ee'], 'anchor_annotation_sigma': 0.1, 'val_fraction': 0.1}, 'field_cfg': {'scene': {'crop_radius': 1.5, 'grid_size': 0.03, 'litept': {'in_features': 5, 'out_features': 256, 'order': ['z', 'z-trans'], 'stride': [2, 2, 2, 2], 'enc_depths': [2, 2, 2, 6, 2], 'enc_channels': [36, 72, 144, 252, 504], 'enc_num_head': [2, 4, 8, 14, 28], 'enc_patch_size': [1024, 1024, 1024, 1024, 1024], 'enc_conv': [True, True, True, False, False], 'enc_attn': [False, False, False, True, True], 'enc_rope_freq': [100.0, 100.0, 100.0, 100.0, 100.0], 'dec_depths': [0, 0, 0, 0], 'dec_channels': [72, 72, 144, 252], 'dec_num_head': [4, 4, 8, 14], 'dec_patch_size': [1024, 1024, 1024, 1024], 'dec_conv': [False, False, False, False], 'dec_attn': [False, False, False, False], 'dec_rope_freq': [100.0, 100.0, 100.0, 100.0], 'mlp_ratio': 4.0, 'drop_path': 0.1, 'enc_mode': False, 'cond_dim': 0, 'cond_mode': 'adaln', 'base_feature': 'occupancy', 'shuffle_orders_train': True, 'shuffle_orders_eval': True}}, 'num_tracks': 5, 'd_track': 16, 'fourier_num_freq': 5, 'd_attn': 128, 'mlp_hidden': 256, 'mlp_depth': 4, 'attractor_tau': 0.1}, 'loss': {'weight_p2p': 10.0, 'weight_p2l_fwd': 0.0, 'weight_p2l_rev': 0.0, 'weight_mag': 0.01, 'huber_delta': 0.05}, 'rollout': {'delta_s': 0.05, 'M': 3, 'rollouts_per_item': 2, 'start_from_p_minus_prob': 0.25, 'dagger_sigma': 0.025}, 'train': {'output_dir': 'experiments/untimed_path', 'lr': 0.0003, 'weight_decay': 0.01, 'warmup_steps': 1000, 'max_steps': 10000, 'batch_size': 128, 'num_workers': 32, 'drop_last': True, 'aug_yaw': True, 'aug_pc_dropout': 0.1, 'monitor_every_steps': 500, 'checkpoint_every_steps': 2000, 'log_every_steps': 50, 'eval_delta_s': 0.05, 'eval_max_steps': 256, 'eval_n_trajectories': 16, 'use_wandb': True, 'wandb_project': 'genplan_contact_plan', 'wandb_entity': None, 'wandb_run_name': 'window_ls_highstep0_1', 'show_progress': True}, 'n_limit': None, '_wandb': {}}
9
+ 2026-05-11 21:57:25,357 INFO MainThread:4115891 [wandb_init.py:init():892] starting backend
10
+ 2026-05-11 21:57:25,582 INFO MainThread:4115891 [wandb_init.py:init():895] sending inform_init request
11
+ 2026-05-11 21:57:25,584 INFO MainThread:4115891 [wandb_init.py:init():903] backend started and connected
12
+ 2026-05-11 21:57:25,586 INFO MainThread:4115891 [wandb_init.py:init():973] updated telemetry
13
+ 2026-05-11 21:57:25,589 INFO MainThread:4115891 [wandb_init.py:init():997] communicating run to backend with 90.0 second timeout
14
+ 2026-05-11 21:57:26,759 INFO MainThread:4115891 [wandb_init.py:init():1042] starting run threads in backend
15
+ 2026-05-11 21:57:26,843 INFO MainThread:4115891 [wandb_run.py:_console_start():2524] atexit reg
16
+ 2026-05-11 21:57:26,843 INFO MainThread:4115891 [wandb_run.py:_redirect():2373] redirect: wrap_raw
17
+ 2026-05-11 21:57:26,843 INFO MainThread:4115891 [wandb_run.py:_redirect():2442] Wrapping output streams.
18
+ 2026-05-11 21:57:26,843 INFO MainThread:4115891 [wandb_run.py:_redirect():2465] Redirects installed.
19
+ 2026-05-11 21:57:26,845 INFO MainThread:4115891 [wandb_init.py:init():1082] run started, returning control to user process
20
+ 2026-05-11 21:57:26,845 INFO MainThread:4115891 [wandb_watch.py:_watch():69] Watching
21
+ 2026-05-12 07:57:10,879 INFO MainThread:4115891 [wandb_run.py:_finish():2291] finishing run packman/genplan_contact_plan/yd62b5rt
22
+ 2026-05-12 07:57:10,880 INFO MainThread:4115891 [wandb_run.py:_atexit_cleanup():2490] got exitcode: 0
23
+ 2026-05-12 07:57:10,880 INFO MainThread:4115891 [wandb_run.py:_restore():2472] restore
24
+ 2026-05-12 07:57:10,880 INFO MainThread:4115891 [wandb_run.py:_restore():2478] restore done
25
+ 2026-05-12 07:57:13,062 INFO MainThread:4115891 [wandb_run.py:_footer_sync_info():3868] logging synced files
experiments/untimed_path/run-001/wandb/run-20260511_215725-yd62b5rt/run-yd62b5rt.wandb ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:955c0813cc11d4ff1d3afb82068ec5cd531039b541a74bc51ef0717b353655b4
3
+ size 60034073
experiments/untimed_path/run-001/wandb_run_id.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ yd62b5rt