leepanic commited on
Commit
befd937
·
verified ·
1 Parent(s): b6d0bf6

droidfull8 cent (openpi pi05_full_droid_finetune): rounds 400/200/320 (openpi exports + decent-vla checkpoint) + config + log

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +33 -0
  2. openpi/assets/droid/norm_stats.json +280 -0
  3. openpi/export_info.json +13 -0
  4. openpi/params/_CHECKPOINT_METADATA +1 -0
  5. openpi/params/_METADATA +1 -0
  6. openpi/params/d/8a7fbba6594a174f523c00201bf2a201 +0 -0
  7. openpi/params/manifest.ocdbt +0 -0
  8. openpi/params/ocdbt.process_0/d/2c52141f95d23ec25c6ba9a1d8a01d0b +3 -0
  9. openpi/params/ocdbt.process_0/d/3ef4d6e3943108ae3b516f7479b33f28 +3 -0
  10. openpi/params/ocdbt.process_0/d/54ed02b49ef006e96aa6132a3ff7ecfd +3 -0
  11. openpi/params/ocdbt.process_0/d/5daab7755f177ebd7e831cf6dc02c0c7 +3 -0
  12. openpi/params/ocdbt.process_0/d/6ed275c6c7a34590eefb15b4bcd65a61 +3 -0
  13. openpi/params/ocdbt.process_0/d/718177ff38d659e3cf1d82174c959d55 +0 -0
  14. openpi/params/ocdbt.process_0/d/71e129ea4265925f39a83fee1d98025c +3 -0
  15. openpi/params/ocdbt.process_0/d/724640235c9240a1eb067745f9fddfb4 +3 -0
  16. openpi/params/ocdbt.process_0/d/7a077499042610649d65f8ad9567bbaf +0 -0
  17. openpi/params/ocdbt.process_0/d/853ea30d3e9e5e1f98ee4520e01a6622 +3 -0
  18. openpi/params/ocdbt.process_0/d/964d19f173a25777ab74dca77c1aaf11 +3 -0
  19. openpi/params/ocdbt.process_0/d/abbdebed616175e86729c47274f1d9f3 +3 -0
  20. openpi/params/ocdbt.process_0/d/eefaac1ca7f2aa428fd419f6464a4dee +3 -0
  21. openpi/params/ocdbt.process_0/d/f4bfddd7dda2cb83e05a129bd6c3d66b +0 -0
  22. openpi/params/ocdbt.process_0/d/faafe69f704aa27f5cb0deb178eca76a +3 -0
  23. openpi/params/ocdbt.process_0/manifest.ocdbt +0 -0
  24. openpi_pi05_droidfull8_cent_local.train.log +499 -0
  25. openpi_pi05_droidfull8_cent_local.yaml +68 -0
  26. openpi_r200/assets/droid/norm_stats.json +280 -0
  27. openpi_r200/export_info.json +13 -0
  28. openpi_r200/params/_CHECKPOINT_METADATA +1 -0
  29. openpi_r200/params/_METADATA +1 -0
  30. openpi_r200/params/d/c0305415d1875efc92e6244bab52bef0 +0 -0
  31. openpi_r200/params/manifest.ocdbt +0 -0
  32. openpi_r200/params/ocdbt.process_0/d/1e431f0f6f27d563b87a653592420f3a +3 -0
  33. openpi_r200/params/ocdbt.process_0/d/205e7c88d6e92b662339d3a8bb5293ad +3 -0
  34. openpi_r200/params/ocdbt.process_0/d/27db4de22b5fe3547c914040da26cc8e +3 -0
  35. openpi_r200/params/ocdbt.process_0/d/33c28bdb6581866a0fa4ef6d6a5dd99d +3 -0
  36. openpi_r200/params/ocdbt.process_0/d/49b9fc7638c177a3725174be1c236604 +3 -0
  37. openpi_r200/params/ocdbt.process_0/d/5ee9c68f1c1a06987eac21187d6bbbe1 +3 -0
  38. openpi_r200/params/ocdbt.process_0/d/61b80b20bd17d48303f62f16917a6f73 +0 -0
  39. openpi_r200/params/ocdbt.process_0/d/85bdf70640027ccc3a4a984ad8785e81 +3 -0
  40. openpi_r200/params/ocdbt.process_0/d/8a6839e8dc48698a3c4394f00521f085 +3 -0
  41. openpi_r200/params/ocdbt.process_0/d/ad3ca5b23d85c62a047dcc4d752cfde2 +3 -0
  42. openpi_r200/params/ocdbt.process_0/d/c19f6fae11512f078f892abd96e238e1 +0 -0
  43. openpi_r200/params/ocdbt.process_0/d/d44b4ea7502af370e3b76e6080616a44 +0 -0
  44. openpi_r200/params/ocdbt.process_0/d/e3046b907adb7ec10247afb01455093c +0 -0
  45. openpi_r200/params/ocdbt.process_0/d/e600e294c274f1dea52c4cc828616b33 +3 -0
  46. openpi_r200/params/ocdbt.process_0/d/f741773c773ca277345983e9e4334f49 +3 -0
  47. openpi_r200/params/ocdbt.process_0/manifest.ocdbt +0 -0
  48. openpi_r320/assets/droid/norm_stats.json +280 -0
  49. openpi_r320/export_info.json +13 -0
  50. openpi_r320/params/_CHECKPOINT_METADATA +1 -0
.gitattributes CHANGED
@@ -33,3 +33,36 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip 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
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
33
  *.zip 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
+ openpi/params/ocdbt.process_0/d/2c52141f95d23ec25c6ba9a1d8a01d0b filter=lfs diff=lfs merge=lfs -text
37
+ openpi/params/ocdbt.process_0/d/3ef4d6e3943108ae3b516f7479b33f28 filter=lfs diff=lfs merge=lfs -text
38
+ openpi/params/ocdbt.process_0/d/54ed02b49ef006e96aa6132a3ff7ecfd filter=lfs diff=lfs merge=lfs -text
39
+ openpi/params/ocdbt.process_0/d/5daab7755f177ebd7e831cf6dc02c0c7 filter=lfs diff=lfs merge=lfs -text
40
+ openpi/params/ocdbt.process_0/d/6ed275c6c7a34590eefb15b4bcd65a61 filter=lfs diff=lfs merge=lfs -text
41
+ openpi/params/ocdbt.process_0/d/71e129ea4265925f39a83fee1d98025c filter=lfs diff=lfs merge=lfs -text
42
+ openpi/params/ocdbt.process_0/d/724640235c9240a1eb067745f9fddfb4 filter=lfs diff=lfs merge=lfs -text
43
+ openpi/params/ocdbt.process_0/d/853ea30d3e9e5e1f98ee4520e01a6622 filter=lfs diff=lfs merge=lfs -text
44
+ openpi/params/ocdbt.process_0/d/964d19f173a25777ab74dca77c1aaf11 filter=lfs diff=lfs merge=lfs -text
45
+ openpi/params/ocdbt.process_0/d/abbdebed616175e86729c47274f1d9f3 filter=lfs diff=lfs merge=lfs -text
46
+ openpi/params/ocdbt.process_0/d/eefaac1ca7f2aa428fd419f6464a4dee filter=lfs diff=lfs merge=lfs -text
47
+ openpi/params/ocdbt.process_0/d/faafe69f704aa27f5cb0deb178eca76a filter=lfs diff=lfs merge=lfs -text
48
+ openpi_r200/params/ocdbt.process_0/d/1e431f0f6f27d563b87a653592420f3a filter=lfs diff=lfs merge=lfs -text
49
+ openpi_r200/params/ocdbt.process_0/d/205e7c88d6e92b662339d3a8bb5293ad filter=lfs diff=lfs merge=lfs -text
50
+ openpi_r200/params/ocdbt.process_0/d/27db4de22b5fe3547c914040da26cc8e filter=lfs diff=lfs merge=lfs -text
51
+ openpi_r200/params/ocdbt.process_0/d/33c28bdb6581866a0fa4ef6d6a5dd99d filter=lfs diff=lfs merge=lfs -text
52
+ openpi_r200/params/ocdbt.process_0/d/49b9fc7638c177a3725174be1c236604 filter=lfs diff=lfs merge=lfs -text
53
+ openpi_r200/params/ocdbt.process_0/d/5ee9c68f1c1a06987eac21187d6bbbe1 filter=lfs diff=lfs merge=lfs -text
54
+ openpi_r200/params/ocdbt.process_0/d/85bdf70640027ccc3a4a984ad8785e81 filter=lfs diff=lfs merge=lfs -text
55
+ openpi_r200/params/ocdbt.process_0/d/8a6839e8dc48698a3c4394f00521f085 filter=lfs diff=lfs merge=lfs -text
56
+ openpi_r200/params/ocdbt.process_0/d/ad3ca5b23d85c62a047dcc4d752cfde2 filter=lfs diff=lfs merge=lfs -text
57
+ openpi_r200/params/ocdbt.process_0/d/e600e294c274f1dea52c4cc828616b33 filter=lfs diff=lfs merge=lfs -text
58
+ openpi_r200/params/ocdbt.process_0/d/f741773c773ca277345983e9e4334f49 filter=lfs diff=lfs merge=lfs -text
59
+ openpi_r320/params/ocdbt.process_0/d/20f6a80c1d35f0d17ee989dc8e0d0ef4 filter=lfs diff=lfs merge=lfs -text
60
+ openpi_r320/params/ocdbt.process_0/d/2a3b301b86eec77c76d9c510a1c19514 filter=lfs diff=lfs merge=lfs -text
61
+ openpi_r320/params/ocdbt.process_0/d/5fe0e35b977b5ac64e2d0ff6e07038f2 filter=lfs diff=lfs merge=lfs -text
62
+ openpi_r320/params/ocdbt.process_0/d/a0524ab77535d1ae6208ea2a5aad4c19 filter=lfs diff=lfs merge=lfs -text
63
+ openpi_r320/params/ocdbt.process_0/d/a2283458f5e39914fd39e9178334d409 filter=lfs diff=lfs merge=lfs -text
64
+ openpi_r320/params/ocdbt.process_0/d/a7456efd8d958544c06dde205ced9f53 filter=lfs diff=lfs merge=lfs -text
65
+ openpi_r320/params/ocdbt.process_0/d/a89956173c7933b2148c95ab5b4976cb filter=lfs diff=lfs merge=lfs -text
66
+ openpi_r320/params/ocdbt.process_0/d/d4ba1d76320760016db60ee819bb5595 filter=lfs diff=lfs merge=lfs -text
67
+ openpi_r320/params/ocdbt.process_0/d/ee4d24cfd1328bddfe56271422424ffe filter=lfs diff=lfs merge=lfs -text
68
+ openpi_r320/params/ocdbt.process_0/d/f2bf5dfcd17923e8817e2c11b4c2bd0b filter=lfs diff=lfs merge=lfs -text
openpi/assets/droid/norm_stats.json ADDED
@@ -0,0 +1,280 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "norm_stats": {
3
+ "actions": {
4
+ "mean": [
5
+ -0.00027342053053236253,
6
+ 0.023949940105734892,
7
+ -0.00033086975858670297,
8
+ 0.017810685682994,
9
+ -0.0008023261255722413,
10
+ 0.010552860505599166,
11
+ 0.003607112609249804,
12
+ 0.45140399925478786,
13
+ 0.0,
14
+ 0.0,
15
+ 0.0,
16
+ 0.0,
17
+ 0.0,
18
+ 0.0,
19
+ 0.0,
20
+ 0.0,
21
+ 0.0,
22
+ 0.0,
23
+ 0.0,
24
+ 0.0,
25
+ 0.0,
26
+ 0.0,
27
+ 0.0,
28
+ 0.0,
29
+ 0.0,
30
+ 0.0,
31
+ 0.0,
32
+ 0.0,
33
+ 0.0,
34
+ 0.0,
35
+ 0.0,
36
+ 0.0
37
+ ],
38
+ "std": [
39
+ 0.09441919822676702,
40
+ 0.17465855057556465,
41
+ 0.09332283253577026,
42
+ 0.15727956049919428,
43
+ 0.14616913317876243,
44
+ 0.1569894686239755,
45
+ 0.17109934755856457,
46
+ 0.4413864921810166,
47
+ 0.0,
48
+ 0.0,
49
+ 0.0,
50
+ 0.0,
51
+ 0.0,
52
+ 0.0,
53
+ 0.0,
54
+ 0.0,
55
+ 0.0,
56
+ 0.0,
57
+ 0.0,
58
+ 0.0,
59
+ 0.0,
60
+ 0.0,
61
+ 0.0,
62
+ 0.0,
63
+ 0.0,
64
+ 0.0,
65
+ 0.0,
66
+ 0.0,
67
+ 0.0,
68
+ 0.0,
69
+ 0.0,
70
+ 0.0
71
+ ],
72
+ "q01": [
73
+ -0.286920549198985,
74
+ -0.45945453632473954,
75
+ -0.28571800187826146,
76
+ -0.4745183891296386,
77
+ -0.46606264920234675,
78
+ -0.4415983498573304,
79
+ -0.5321806037783623,
80
+ 0.0,
81
+ 0.0,
82
+ 0.0,
83
+ 0.0,
84
+ 0.0,
85
+ 0.0,
86
+ 0.0,
87
+ 0.0,
88
+ 0.0,
89
+ 0.0,
90
+ 0.0,
91
+ 0.0,
92
+ 0.0,
93
+ 0.0,
94
+ 0.0,
95
+ 0.0,
96
+ 0.0,
97
+ 0.0,
98
+ 0.0,
99
+ 0.0,
100
+ 0.0,
101
+ 0.0,
102
+ 0.0,
103
+ 0.0,
104
+ 0.0
105
+ ],
106
+ "q99": [
107
+ 0.28556161552667625,
108
+ 0.5270082930922506,
109
+ 0.2831991063714028,
110
+ 0.47013598365783693,
111
+ 0.45336947935819616,
112
+ 0.5001207852363585,
113
+ 0.5320044534891843,
114
+ 0.9998,
115
+ 0.0,
116
+ 0.0,
117
+ 0.0,
118
+ 0.0,
119
+ 0.0,
120
+ 0.0,
121
+ 0.0,
122
+ 0.0,
123
+ 0.0,
124
+ 0.0,
125
+ 0.0,
126
+ 0.0,
127
+ 0.0,
128
+ 0.0,
129
+ 0.0,
130
+ 0.0,
131
+ 0.0,
132
+ 0.0,
133
+ 0.0,
134
+ 0.0,
135
+ 0.0,
136
+ 0.0,
137
+ 0.0,
138
+ 0.0
139
+ ]
140
+ },
141
+ "state": {
142
+ "mean": [
143
+ 0.016237762316468146,
144
+ 0.26715409834621,
145
+ -0.016710053356134087,
146
+ -2.0255712993077326,
147
+ -0.03266582860490208,
148
+ 2.344549184149644,
149
+ 0.08269685385513066,
150
+ 0.3997888614549533,
151
+ 0.0,
152
+ 0.0,
153
+ 0.0,
154
+ 0.0,
155
+ 0.0,
156
+ 0.0,
157
+ 0.0,
158
+ 0.0,
159
+ 0.0,
160
+ 0.0,
161
+ 0.0,
162
+ 0.0,
163
+ 0.0,
164
+ 0.0,
165
+ 0.0,
166
+ 0.0,
167
+ 0.0,
168
+ 0.0,
169
+ 0.0,
170
+ 0.0,
171
+ 0.0,
172
+ 0.0,
173
+ 0.0,
174
+ 0.0
175
+ ],
176
+ "std": [
177
+ 0.30769924638771073,
178
+ 0.48216030004631877,
179
+ 0.26944263961875825,
180
+ 0.48189821046318276,
181
+ 0.5374187843900121,
182
+ 0.45384659499775365,
183
+ 0.7474676080830999,
184
+ 0.40705741517596306,
185
+ 0.0,
186
+ 0.0,
187
+ 0.0,
188
+ 0.0,
189
+ 0.0,
190
+ 0.0,
191
+ 0.0,
192
+ 0.0,
193
+ 0.0,
194
+ 0.0,
195
+ 0.0,
196
+ 0.0,
197
+ 0.0,
198
+ 0.0,
199
+ 0.0,
200
+ 0.0,
201
+ 0.0,
202
+ 0.0,
203
+ 0.0,
204
+ 0.0,
205
+ 0.0,
206
+ 0.0,
207
+ 0.0,
208
+ 0.0
209
+ ],
210
+ "q01": [
211
+ -0.8279732212066653,
212
+ -0.8398311847686768,
213
+ -0.8425482082366944,
214
+ -2.773015278291702,
215
+ -1.8426181347846986,
216
+ 1.1716566389799117,
217
+ -2.047264838027954,
218
+ 0.0,
219
+ 0.0,
220
+ 0.0,
221
+ 0.0,
222
+ 0.0,
223
+ 0.0,
224
+ 0.0,
225
+ 0.0,
226
+ 0.0,
227
+ 0.0,
228
+ 0.0,
229
+ 0.0,
230
+ 0.0,
231
+ 0.0,
232
+ 0.0,
233
+ 0.0,
234
+ 0.0,
235
+ 0.0,
236
+ 0.0,
237
+ 0.0,
238
+ 0.0,
239
+ 0.0,
240
+ 0.0,
241
+ 0.0,
242
+ 0.0
243
+ ],
244
+ "q99": [
245
+ 0.8996522880554196,
246
+ 1.385467470359802,
247
+ 0.6920277433395388,
248
+ -0.4542043057203293,
249
+ 1.732314240932464,
250
+ 3.4672964780330657,
251
+ 2.1984972072601314,
252
+ 0.991,
253
+ 0.0,
254
+ 0.0,
255
+ 0.0,
256
+ 0.0,
257
+ 0.0,
258
+ 0.0,
259
+ 0.0,
260
+ 0.0,
261
+ 0.0,
262
+ 0.0,
263
+ 0.0,
264
+ 0.0,
265
+ 0.0,
266
+ 0.0,
267
+ 0.0,
268
+ 0.0,
269
+ 0.0,
270
+ 0.0,
271
+ 0.0,
272
+ 0.0,
273
+ 0.0,
274
+ 0.0,
275
+ 0.0,
276
+ 0.0
277
+ ]
278
+ }
279
+ }
280
+ }
openpi/export_info.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "source_checkpoint": "outputs/openpi_pi05_droidfull8_cent_local/checkpoints/server_round_0400.pt",
3
+ "round": 399,
4
+ "weights": "ema",
5
+ "tensors_from_checkpoint": 51,
6
+ "tensors_total": 51,
7
+ "base": "gs://openpi-assets/checkpoints/pi05_base/params",
8
+ "dtype": "bfloat16",
9
+ "norm_stats": "/data/gaoliu/droidfull8/openpi-cache/openpi-assets/checkpoints/pi05_droid_jointpos/assets/droid/norm_stats.json",
10
+ "asset_id": "droid",
11
+ "openpi_config": "pi05_droid_jointpos",
12
+ "serve": "uv run scripts/serve_policy.py policy:checkpoint --policy.config=pi05_droid_jointpos --policy.dir=/data/gaoliu/droidfull8/upload_cent/openpi"
13
+ }
openpi/params/_CHECKPOINT_METADATA ADDED
@@ -0,0 +1 @@
 
 
1
+ {"item_handlers": "orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler", "metrics": {}, "performance_metrics": {}, "init_timestamp_nsecs": 1793745414624295512, "commit_timestamp_nsecs": 1793745417283741571, "custom_metadata": {}}
openpi/params/_METADATA ADDED
@@ -0,0 +1 @@
 
 
1
+ {"tree_metadata": {"('params', 'PaliGemma', 'img', 'Transformer', 'encoder_norm', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoder_norm", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoder_norm', 'scale')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoder_norm", "key_type": 2}, {"key": "scale", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'LayerNorm_0', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "LayerNorm_0", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'LayerNorm_0', 'scale')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "LayerNorm_0", "key_type": 2}, {"key": "scale", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'LayerNorm_1', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "LayerNorm_1", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'LayerNorm_1', 'scale')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "LayerNorm_1", "key_type": 2}, {"key": "scale", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MlpBlock_0', 'Dense_0', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MlpBlock_0", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MlpBlock_0', 'Dense_0', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MlpBlock_0", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MlpBlock_0', 'Dense_1', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MlpBlock_0", "key_type": 2}, {"key": "Dense_1", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MlpBlock_0', 'Dense_1', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MlpBlock_0", "key_type": 2}, {"key": "Dense_1", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'key', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "key", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'key', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "key", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'out', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "out", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'out', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "out", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'query', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "query", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'query', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "query", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'value', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "value", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'value', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "value", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'embedding', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "embedding", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'embedding', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "embedding", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'head', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "head", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'head', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "head", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'pos_embedding')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "pos_embedding", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'embedder', 'input_embedding')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "embedder", "key_type": 2}, {"key": "input_embedding", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'final_norm', 'scale')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "final_norm", "key_type": 2}, {"key": "scale", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'final_norm_1', 'Dense_0', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "final_norm_1", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'final_norm_1', 'Dense_0', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "final_norm_1", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'attn', 'attn_vec_einsum', 'w')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "attn", "key_type": 2}, {"key": "attn_vec_einsum", "key_type": 2}, {"key": "w", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'attn', 'attn_vec_einsum_1', 'w')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "attn", "key_type": 2}, {"key": "attn_vec_einsum_1", "key_type": 2}, {"key": "w", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'attn', 'kv_einsum', 'w')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "attn", "key_type": 2}, {"key": "kv_einsum", "key_type": 2}, {"key": "w", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'attn', 'kv_einsum_1', 'w')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "attn", "key_type": 2}, {"key": "kv_einsum_1", "key_type": 2}, {"key": "w", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'attn', 'q_einsum', 'w')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "attn", "key_type": 2}, {"key": "q_einsum", "key_type": 2}, {"key": "w", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'attn', 'q_einsum_1', 'w')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "attn", "key_type": 2}, {"key": "q_einsum_1", "key_type": 2}, {"key": "w", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'mlp', 'gating_einsum')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "mlp", "key_type": 2}, {"key": "gating_einsum", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'mlp', 'linear')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "mlp", "key_type": 2}, {"key": "linear", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'mlp_1', 'gating_einsum')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "mlp_1", "key_type": 2}, {"key": "gating_einsum", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'mlp_1', 'linear')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "mlp_1", "key_type": 2}, {"key": "linear", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'pre_attention_norm', 'scale')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "pre_attention_norm", "key_type": 2}, {"key": "scale", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'pre_attention_norm_1', 'Dense_0', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "pre_attention_norm_1", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'pre_attention_norm_1', 'Dense_0', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "pre_attention_norm_1", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'pre_ffw_norm', 'scale')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "pre_ffw_norm", "key_type": 2}, {"key": "scale", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'pre_ffw_norm_1', 'Dense_0', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "pre_ffw_norm_1", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'pre_ffw_norm_1', 'Dense_0', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "pre_ffw_norm_1", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'action_in_proj', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "action_in_proj", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'action_in_proj', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "action_in_proj", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'action_out_proj', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "action_out_proj", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'action_out_proj', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "action_out_proj", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'time_mlp_in', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "time_mlp_in", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'time_mlp_in', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "time_mlp_in", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'time_mlp_out', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "time_mlp_out", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'time_mlp_out', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "time_mlp_out", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}}, "use_zarr3": false, "store_array_data_equal_to_fill_value": true, "custom_metadata": null}
openpi/params/d/8a7fbba6594a174f523c00201bf2a201 ADDED
Binary file (2.02 kB). View file
 
openpi/params/manifest.ocdbt ADDED
Binary file (117 Bytes). View file
 
openpi/params/ocdbt.process_0/d/2c52141f95d23ec25c6ba9a1d8a01d0b ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6940c25c3fcfc9a70505a77cc596b35a3ca5ba7dd69c5c4f1da9735bd9c1445e
3
+ size 1985256
openpi/params/ocdbt.process_0/d/3ef4d6e3943108ae3b516f7479b33f28 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cefcac1eb852fb988c6c17145cb95424c9f6b2d05ad4a4ee107c53fd504696be
3
+ size 534299047
openpi/params/ocdbt.process_0/d/54ed02b49ef006e96aa6132a3ff7ecfd ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4000a4d6d675f27d82005f609e0e160c5aa81d42d9d4b838f5963d228b14f34a
3
+ size 655561096
openpi/params/ocdbt.process_0/d/5daab7755f177ebd7e831cf6dc02c0c7 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c81dc7c8882e17f5c709e22cc434d6166877d94cce911a8c194d4013438ac1f3
3
+ size 14713017
openpi/params/ocdbt.process_0/d/6ed275c6c7a34590eefb15b4bcd65a61 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b4a2deace54dcdb0f9f0bf5622acb0b03d991c91f57af3e975447dfca0a62d71
3
+ size 286427607
openpi/params/ocdbt.process_0/d/718177ff38d659e3cf1d82174c959d55 ADDED
Binary file (1.05 kB). View file
 
openpi/params/ocdbt.process_0/d/71e129ea4265925f39a83fee1d98025c ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fcab60df732629cb88fa59b36c3ea2a110b4b467f5a35e64744786d4685644b5
3
+ size 3740407
openpi/params/ocdbt.process_0/d/724640235c9240a1eb067745f9fddfb4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2594bdb8cef04e83271670158fe573181f3aaccd819c227a6491a782cd997447
3
+ size 29560828
openpi/params/ocdbt.process_0/d/7a077499042610649d65f8ad9567bbaf ADDED
Binary file (2.01 kB). View file
 
openpi/params/ocdbt.process_0/d/853ea30d3e9e5e1f98ee4520e01a6622 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:51025325d004d174cfcef17919c503da90c3a170b60e6f142f208604e6231fd9
3
+ size 7130920
openpi/params/ocdbt.process_0/d/964d19f173a25777ab74dca77c1aaf11 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ed8b64e026643f4e299acf75128f3eb0f39e7ae2e3a24beb5e1b089a3e2a1d5
3
+ size 56164341
openpi/params/ocdbt.process_0/d/abbdebed616175e86729c47274f1d9f3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e023802b82d68804e73c1ea413b75c073ead14bb7100e82ed4963a511b4663e6
3
+ size 828932181
openpi/params/ocdbt.process_0/d/eefaac1ca7f2aa428fd419f6464a4dee ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b647aa2a9da3ca0f03016c8cfa2173408e62ce176b9bcef8b412ae99b1c99b8d
3
+ size 2832371412
openpi/params/ocdbt.process_0/d/f4bfddd7dda2cb83e05a129bd6c3d66b ADDED
Binary file (250 Bytes). View file
 
openpi/params/ocdbt.process_0/d/faafe69f704aa27f5cb0deb178eca76a ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e47abeb17d3e0b3d6a923aac8ce75a3ee34d36e28fd056af71f6af2982c086e
3
+ size 145377
openpi/params/ocdbt.process_0/manifest.ocdbt ADDED
Binary file (695 Bytes). View file
 
openpi_pi05_droidfull8_cent_local.train.log ADDED
@@ -0,0 +1,499 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2026-11-01 12:40:53.227925: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2
+ 2026-11-01 12:40:53.228029: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
3
+ 2026-11-01 12:40:53.228878: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
4
+ 2026-11-01 12:40:53.696518: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
5
+ 2026-11-01 12:40:54,395 [INFO] root: Loaded norm stats from gs://openpi-assets/checkpoints/pi05_droid_jointpos/assets/droid
6
+ 2026-11-01 12:40:54,401 [INFO] datasets: PyTorch version 2.7.1 available.
7
+ 2026-11-01 12:40:54,402 [INFO] datasets: Polars version 1.30.0 available.
8
+ 2026-11-01 12:40:54,402 [INFO] datasets: TensorFlow version 2.15.0 available.
9
+ 2026-11-01 12:40:54,402 [INFO] datasets: JAX version 0.5.3 available.
10
+ 2026-11-01 12:40:54,476 [INFO] root: Loaded norm stats from /data/gaoliu/droidfull8/openpi-cache/openpi-assets/checkpoints/pi05_droid_jointpos/assets/droid
11
+ 2026-11-01 12:40:54,521 [INFO] root: Loaded norm stats from gs://openpi-assets/checkpoints/pi05_droid_jointpos/assets/droid
12
+ INFO:2026-11-01 12:40:55,755:jax._src.xla_bridge:925: Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'
13
+ 2026-11-01 12:40:55,755 [INFO] jax._src.xla_bridge: Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'
14
+ INFO:2026-11-01 12:40:55,756:jax._src.xla_bridge:925: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: libtpu.so: cannot open shared object file: No such file or directory
15
+ 2026-11-01 12:40:55,756 [INFO] jax._src.xla_bridge: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: libtpu.so: cannot open shared object file: No such file or directory
16
+ 2026-11-01 12:40:56,485 [INFO] decent_vla.adapters.openpi._engine: openpi engine on ['cuda:0', 'cuda:1', 'cuda:2', 'cuda:3', 'cuda:4', 'cuda:5', 'cuda:6', 'cuda:7']: 51 trainable / 0 frozen param tensors (3.35B trainable)
17
+ 2026-11-01 12:40:56,485 [INFO] absl: orbax-checkpoint version: 0.11.13
18
+ 2026-11-01 12:40:56,485 [INFO] absl: Created BasePyTreeCheckpointHandler: use_ocdbt=True, use_zarr3=False, pytree_metadata_options=PyTreeMetadataOptions(support_rich_types=False), array_metadata_store=<orbax.checkpoint._src.metadata.array_metadata_store.Store object at 0x7f9aaf66ec50>
19
+ 2026-11-01 12:40:56,502 [INFO] absl: Restoring checkpoint from /data/gaoliu/droidfull8/openpi-cache/openpi-assets/checkpoints/pi05_base/params.
20
+ 2026-11-01 12:40:57,978 [INFO] absl: [thread=MainThread] Failed to get flag value for EXPERIMENTAL_ORBAX_USE_DISTRIBUTED_PROCESS_ID.
21
+ 2026-11-01 12:40:57,979 [INFO] absl: [process=0] /jax/checkpoint/read/bytes_per_sec: 8.5 GiB/s (total bytes: 12.5 GiB) (time elapsed: a second) (per-host)
22
+ 2026-11-01 12:40:57,979 [INFO] absl: Finished restoring checkpoint in 1.48 seconds from /data/gaoliu/droidfull8/openpi-cache/openpi-assets/checkpoints/pi05_base/params.
23
+ 2026-11-01 12:41:01,740 [INFO] decent_vla.adapters.openpi._engine: openpi engine loaded base weights from gs://openpi-assets/checkpoints/pi05_base/params
24
+ 2026-11-01 12:41:05,861 [INFO] root: Loaded norm stats from gs://openpi-assets/checkpoints/pi05_droid_jointpos/assets/droid
25
+ 2026-11-01 12:41:05,861 [INFO] root: Loaded norm stats from /data/gaoliu/droidfull8/openpi-cache/openpi-assets/checkpoints/pi05_droid_jointpos/assets/droid
26
+ 2026-11-01 12:41:05,909 [INFO] root: Loaded norm stats from gs://openpi-assets/checkpoints/pi05_droid_jointpos/assets/droid
27
+ 2026-11-01 12:41:06,384 [INFO] decent_vla.adapters.openpi.backend: openpi droid_full client: buildings ['Berkeley Way West (BWW / BAIR / RAIL)', 'Gates', 'Autolab', 'TRI', '403 Fairmont', 'UT AHG', 'UW CSE2 (Gates Center)', '640 Palo Alto Ave', '416 W Dana St', 'EVGR C', 'KAIST', 'Penn Levine Hall', "Glen's office", 'soft objects', '780 Shary Ave', '394 Franklin', 'Edinburgh Bayes Centre', 'Lyman', 'Wasabi Tempura', '2300 Jane Ln', 'EVGR D', '2479 Richard Ct', "Dan's Apartment", '775 Roble', "Jimmy's Apartment", 'N/A', 'CMU Smith Hall', 'Mila kitchen', 'Rabbit Hole', "Kyle Hsu's Place", '10 Comstock Circle, Apt. 135', 'UdeM AA 3248', 'setup room', 'Forum - Meeting Area 2', 'amodal instance', 'EVGR B']
28
+ 2026-11-01 12:41:06,385 [INFO] decent_vla.adapters.openpi.backend: openpi client data: 78864 episodes, 22129092 frames, bs 256, 32 workers
29
+ 2026-11-01 12:41:06.831215: W tensorflow/core/common_runtime/gpu/gpu_device.cc:2256] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
30
+ Skipping registering GPU devices...
31
+ 2026-11-01 12:41:06,881 [INFO] absl: Load dataset info from /data/gaoliu/droidfull8/rlds/droid/1.0.1
32
+ 2026-11-01 12:41:06,901 [INFO] absl: Creating a tf.data.Dataset reading 2048 files located in folders: /data/gaoliu/droidfull8/rlds/droid/1.0.1.
33
+ 2026-11-01 12:41:06,964 [INFO] absl: Constructing tf.data.Dataset droid_101 for split train, from /data/gaoliu/droidfull8/rlds/droid/1.0.1
34
+ 2026-11-01 12:41:34.263888: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
35
+ 2026-11-01 12:41:34.263987: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
36
+ 2026-11-01 12:41:34.264732: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
37
+ 2026-11-01 12:41:34.748717: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
38
+ 2026-11-01 12:41:37.900187: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
39
+ 2026-11-01 12:41:37.900265: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
40
+ 2026-11-01 12:41:37.901001: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
41
+ 2026-11-01 12:41:38.398538: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
42
+ 2026-11-01 12:41:41.506921: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
43
+ 2026-11-01 12:41:41.507011: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
44
+ 2026-11-01 12:41:41.507760: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
45
+ 2026-11-01 12:41:42.010766: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
46
+ 2026-11-01 12:41:45.186793: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
47
+ 2026-11-01 12:41:45.186892: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
48
+ 2026-11-01 12:41:45.187653: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
49
+ 2026-11-01 12:41:45.708717: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
50
+ 2026-11-01 12:41:48.818902: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
51
+ 2026-11-01 12:41:48.818993: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
52
+ 2026-11-01 12:41:48.819726: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
53
+ 2026-11-01 12:41:49.287908: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
54
+ 2026-11-01 12:41:52.434045: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
55
+ 2026-11-01 12:41:52.434121: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
56
+ 2026-11-01 12:41:52.434882: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
57
+ 2026-11-01 12:41:52.919305: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
58
+ 2026-11-01 12:41:56.096050: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
59
+ 2026-11-01 12:41:56.096125: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
60
+ 2026-11-01 12:41:56.096883: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
61
+ 2026-11-01 12:41:56.574762: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
62
+ 2026-11-01 12:41:59.739036: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
63
+ 2026-11-01 12:41:59.739109: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
64
+ 2026-11-01 12:41:59.739852: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
65
+ 2026-11-01 12:42:00.216457: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
66
+ 2026-11-01 12:42:03.425525: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
67
+ 2026-11-01 12:42:03.425606: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
68
+ 2026-11-01 12:42:03.426351: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
69
+ 2026-11-01 12:42:03.908844: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
70
+ 2026-11-01 12:42:07.072518: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
71
+ 2026-11-01 12:42:07.072599: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
72
+ 2026-11-01 12:42:07.073310: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
73
+ 2026-11-01 12:42:07.549049: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
74
+ 2026-11-01 12:42:11.948199: E external/xla/xla/service/slow_operation_alarm.cc:73] Constant folding an instruction is taking > 1s:
75
+
76
+ %reduce-window.15 = s32[256,984]{1,0} reduce-window(%broadcast.5791, %constant.3153), window={size=1x984 pad=0_0x983_0}, to_apply=%region_45.12413, metadata={op_name="jit(loss_fn)/jit(main)/jvp(jit(cumsum))/reduce_window_sum" source_file="/data/gaoliu/droidfull8/openpi/src/openpi/models/pi0.py" source_line=41}
77
+
78
+ This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.
79
+
80
+ If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.
81
+ 2026-11-01 12:42:14.437589: E external/xla/xla/service/slow_operation_alarm.cc:140] The operation took 3.49009094s
82
+ Constant folding an instruction is taking > 1s:
83
+
84
+ %reduce-window.15 = s32[256,984]{1,0} reduce-window(%broadcast.5791, %constant.3153), window={size=1x984 pad=0_0x983_0}, to_apply=%region_45.12413, metadata={op_name="jit(loss_fn)/jit(main)/jvp(jit(cumsum))/reduce_window_sum" source_file="/data/gaoliu/droidfull8/openpi/src/openpi/models/pi0.py" source_line=41}
85
+
86
+ This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.
87
+
88
+ If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.
89
+ wandb: WARNING `resume` will be ignored since W&B syncing is set to `offline`. Starting a new run with run id openpi_pi05_droidfull8_cent_local.
90
+ wandb: Tracking run with wandb version 0.19.11
91
+ wandb: W&B syncing is set to `offline` in this directory. Run `wandb online` or set WANDB_MODE=online to enable cloud syncing.
92
+ 2026-11-01 12:48:38,312 [INFO] decent_vla.runtime.round_loop: round 1 updates=1 mean_loss=0.0260
93
+ 2026-11-01 12:54:26,894 [INFO] decent_vla.runtime.round_loop: round 2 updates=1 mean_loss=0.0213
94
+ 2026-11-01 13:00:15,986 [INFO] decent_vla.runtime.round_loop: round 3 updates=1 mean_loss=0.0206
95
+ 2026-11-01 13:06:04,988 [INFO] decent_vla.runtime.round_loop: round 4 updates=1 mean_loss=0.0212
96
+ 2026-11-01 13:11:53,343 [INFO] decent_vla.runtime.round_loop: round 5 updates=1 mean_loss=0.0211
97
+ 2026-11-01 13:17:42,066 [INFO] decent_vla.runtime.round_loop: round 6 updates=1 mean_loss=0.0205
98
+ 2026-11-01 13:23:30,788 [INFO] decent_vla.runtime.round_loop: round 7 updates=1 mean_loss=0.0201
99
+ 2026-11-01 13:29:18,629 [INFO] decent_vla.runtime.round_loop: round 8 updates=1 mean_loss=0.0194
100
+ 2026-11-01 13:35:07,201 [INFO] decent_vla.runtime.round_loop: round 9 updates=1 mean_loss=0.0194
101
+ 2026-11-01 13:40:55,070 [INFO] decent_vla.runtime.round_loop: round 10 updates=1 mean_loss=0.0190
102
+ 2026-11-01 13:46:43,075 [INFO] decent_vla.runtime.round_loop: round 11 updates=1 mean_loss=0.0188
103
+ 2026-11-01 13:52:31,444 [INFO] decent_vla.runtime.round_loop: round 12 updates=1 mean_loss=0.0186
104
+ 2026-11-01 13:58:19,769 [INFO] decent_vla.runtime.round_loop: round 13 updates=1 mean_loss=0.0181
105
+ 2026-11-01 14:04:07,816 [INFO] decent_vla.runtime.round_loop: round 14 updates=1 mean_loss=0.0178
106
+ 2026-11-01 14:09:56,037 [INFO] decent_vla.runtime.round_loop: round 15 updates=1 mean_loss=0.0174
107
+ 2026-11-01 14:15:44,057 [INFO] decent_vla.runtime.round_loop: round 16 updates=1 mean_loss=0.0176
108
+ 2026-11-01 14:21:32,045 [INFO] decent_vla.runtime.round_loop: round 17 updates=1 mean_loss=0.0175
109
+ 2026-11-01 14:27:20,447 [INFO] decent_vla.runtime.round_loop: round 18 updates=1 mean_loss=0.0174
110
+ 2026-11-01 14:33:09,056 [INFO] decent_vla.runtime.round_loop: round 19 updates=1 mean_loss=0.0172
111
+ 2026-11-01 14:38:57,375 [INFO] decent_vla.runtime.round_loop: round 20 updates=1 mean_loss=0.0168
112
+ 2026-11-01 14:44:45,494 [INFO] decent_vla.runtime.round_loop: round 21 updates=1 mean_loss=0.0169
113
+ 2026-11-01 14:50:33,284 [INFO] decent_vla.runtime.round_loop: round 22 updates=1 mean_loss=0.0168
114
+ 2026-11-01 14:56:21,522 [INFO] decent_vla.runtime.round_loop: round 23 updates=1 mean_loss=0.0167
115
+ 2026-11-01 15:02:09,831 [INFO] decent_vla.runtime.round_loop: round 24 updates=1 mean_loss=0.0167
116
+ 2026-11-01 15:07:57,465 [INFO] decent_vla.runtime.round_loop: round 25 updates=1 mean_loss=0.0166
117
+ 2026-11-01 15:13:45,405 [INFO] decent_vla.runtime.round_loop: round 26 updates=1 mean_loss=0.0165
118
+ 2026-11-01 15:19:33,959 [INFO] decent_vla.runtime.round_loop: round 27 updates=1 mean_loss=0.0165
119
+ 2026-11-01 15:25:22,507 [INFO] decent_vla.runtime.round_loop: round 28 updates=1 mean_loss=0.0164
120
+ 2026-11-01 15:31:10,550 [INFO] decent_vla.runtime.round_loop: round 29 updates=1 mean_loss=0.0165
121
+ 2026-11-01 15:36:58,480 [INFO] decent_vla.runtime.round_loop: round 30 updates=1 mean_loss=0.0165
122
+ 2026-11-01 15:42:46,617 [INFO] decent_vla.runtime.round_loop: round 31 updates=1 mean_loss=0.0165
123
+ 2026-11-01 15:48:34,872 [INFO] decent_vla.runtime.round_loop: round 32 updates=1 mean_loss=0.0164
124
+ 2026-11-01 15:54:23,022 [INFO] decent_vla.runtime.round_loop: round 33 updates=1 mean_loss=0.0163
125
+ 2026-11-01 16:00:11,219 [INFO] decent_vla.runtime.round_loop: round 34 updates=1 mean_loss=0.0162
126
+ 2026-11-01 16:05:58,930 [INFO] decent_vla.runtime.round_loop: round 35 updates=1 mean_loss=0.0163
127
+ 2026-11-01 16:11:46,836 [INFO] decent_vla.runtime.round_loop: round 36 updates=1 mean_loss=0.0163
128
+ 2026-11-01 16:17:34,975 [INFO] decent_vla.runtime.round_loop: round 37 updates=1 mean_loss=0.0160
129
+ 2026-11-01 16:23:22,935 [INFO] decent_vla.runtime.round_loop: round 38 updates=1 mean_loss=0.0158
130
+ 2026-11-01 16:29:11,056 [INFO] decent_vla.runtime.round_loop: round 39 updates=1 mean_loss=0.0159
131
+ 2026-11-01 16:35:06,181 [INFO] decent_vla.runtime.round_loop: round 40 updates=1 mean_loss=0.0158
132
+ 2026-11-01 16:40:54,176 [INFO] decent_vla.runtime.round_loop: round 41 updates=1 mean_loss=0.0157
133
+ 2026-11-01 16:46:41,918 [INFO] decent_vla.runtime.round_loop: round 42 updates=1 mean_loss=0.0156
134
+ 2026-11-01 16:52:29,306 [INFO] decent_vla.runtime.round_loop: round 43 updates=1 mean_loss=0.0155
135
+ 2026-11-01 16:58:17,510 [INFO] decent_vla.runtime.round_loop: round 44 updates=1 mean_loss=0.0156
136
+ 2026-11-01 17:04:05,541 [INFO] decent_vla.runtime.round_loop: round 45 updates=1 mean_loss=0.0155
137
+ 2026-11-01 17:09:53,288 [INFO] decent_vla.runtime.round_loop: round 46 updates=1 mean_loss=0.0157
138
+ 2026-11-01 17:15:41,176 [INFO] decent_vla.runtime.round_loop: round 47 updates=1 mean_loss=0.0155
139
+ 2026-11-01 17:21:28,016 [INFO] decent_vla.runtime.round_loop: round 48 updates=1 mean_loss=0.0152
140
+ 2026-11-01 17:27:15,514 [INFO] decent_vla.runtime.round_loop: round 49 updates=1 mean_loss=0.0155
141
+ 2026-11-01 17:33:02,806 [INFO] decent_vla.runtime.round_loop: round 50 updates=1 mean_loss=0.0158
142
+ 2026-11-01 17:38:50,161 [INFO] decent_vla.runtime.round_loop: round 51 updates=1 mean_loss=0.0159
143
+ 2026-11-01 17:44:37,992 [INFO] decent_vla.runtime.round_loop: round 52 updates=1 mean_loss=0.0158
144
+ 2026-11-01 17:50:25,717 [INFO] decent_vla.runtime.round_loop: round 53 updates=1 mean_loss=0.0154
145
+ 2026-11-01 17:56:13,623 [INFO] decent_vla.runtime.round_loop: round 54 updates=1 mean_loss=0.0154
146
+ 2026-11-01 18:02:01,456 [INFO] decent_vla.runtime.round_loop: round 55 updates=1 mean_loss=0.0154
147
+ 2026-11-01 18:07:48,848 [INFO] decent_vla.runtime.round_loop: round 56 updates=1 mean_loss=0.0157
148
+ 2026-11-01 18:13:36,671 [INFO] decent_vla.runtime.round_loop: round 57 updates=1 mean_loss=0.0156
149
+ 2026-11-01 18:19:24,289 [INFO] decent_vla.runtime.round_loop: round 58 updates=1 mean_loss=0.0156
150
+ 2026-11-01 18:25:11,602 [INFO] decent_vla.runtime.round_loop: round 59 updates=1 mean_loss=0.0155
151
+ 2026-11-01 18:30:59,352 [INFO] decent_vla.runtime.round_loop: round 60 updates=1 mean_loss=0.0153
152
+ 2026-11-01 18:36:47,194 [INFO] decent_vla.runtime.round_loop: round 61 updates=1 mean_loss=0.0153
153
+ 2026-11-01 18:42:35,068 [INFO] decent_vla.runtime.round_loop: round 62 updates=1 mean_loss=0.0151
154
+ 2026-11-01 18:48:22,454 [INFO] decent_vla.runtime.round_loop: round 63 updates=1 mean_loss=0.0153
155
+ 2026-11-01 18:54:09,981 [INFO] decent_vla.runtime.round_loop: round 64 updates=1 mean_loss=0.0153
156
+ 2026-11-01 18:59:57,097 [INFO] decent_vla.runtime.round_loop: round 65 updates=1 mean_loss=0.0151
157
+ 2026-11-01 19:05:44,828 [INFO] decent_vla.runtime.round_loop: round 66 updates=1 mean_loss=0.0152
158
+ 2026-11-01 19:11:32,237 [INFO] decent_vla.runtime.round_loop: round 67 updates=1 mean_loss=0.0153
159
+ 2026-11-01 19:17:20,122 [INFO] decent_vla.runtime.round_loop: round 68 updates=1 mean_loss=0.0151
160
+ 2026-11-01 19:23:08,480 [INFO] decent_vla.runtime.round_loop: round 69 updates=1 mean_loss=0.0150
161
+ 2026-11-01 19:28:56,230 [INFO] decent_vla.runtime.round_loop: round 70 updates=1 mean_loss=0.0151
162
+ 2026-11-01 19:34:44,542 [INFO] decent_vla.runtime.round_loop: round 71 updates=1 mean_loss=0.0150
163
+ 2026-11-01 19:40:31,958 [INFO] decent_vla.runtime.round_loop: round 72 updates=1 mean_loss=0.0148
164
+ 2026-11-01 19:46:19,923 [INFO] decent_vla.runtime.round_loop: round 73 updates=1 mean_loss=0.0150
165
+ 2026-11-01 19:52:07,871 [INFO] decent_vla.runtime.round_loop: round 74 updates=1 mean_loss=0.0150
166
+ 2026-11-01 19:57:56,119 [INFO] decent_vla.runtime.round_loop: round 75 updates=1 mean_loss=0.0148
167
+ 2026-11-01 20:03:43,894 [INFO] decent_vla.runtime.round_loop: round 76 updates=1 mean_loss=0.0148
168
+ 2026-11-01 20:09:32,120 [INFO] decent_vla.runtime.round_loop: round 77 updates=1 mean_loss=0.0149
169
+ 2026-11-01 20:15:19,669 [INFO] decent_vla.runtime.round_loop: round 78 updates=1 mean_loss=0.0147
170
+ 2026-11-01 20:21:07,175 [INFO] decent_vla.runtime.round_loop: round 79 updates=1 mean_loss=0.0148
171
+ 2026-11-01 20:27:01,839 [INFO] decent_vla.runtime.round_loop: round 80 updates=1 mean_loss=0.0152
172
+ 2026-11-01 20:32:49,832 [INFO] decent_vla.runtime.round_loop: round 81 updates=1 mean_loss=0.0148
173
+ 2026-11-01 20:38:37,084 [INFO] decent_vla.runtime.round_loop: round 82 updates=1 mean_loss=0.0150
174
+ 2026-11-01 20:44:24,810 [INFO] decent_vla.runtime.round_loop: round 83 updates=1 mean_loss=0.0149
175
+ 2026-11-01 20:50:12,665 [INFO] decent_vla.runtime.round_loop: round 84 updates=1 mean_loss=0.0149
176
+ 2026-11-01 20:56:00,636 [INFO] decent_vla.runtime.round_loop: round 85 updates=1 mean_loss=0.0150
177
+ 2026-11-01 21:01:47,989 [INFO] decent_vla.runtime.round_loop: round 86 updates=1 mean_loss=0.0147
178
+ 2026-11-01 21:07:35,735 [INFO] decent_vla.runtime.round_loop: round 87 updates=1 mean_loss=0.0148
179
+ 2026-11-01 21:13:23,787 [INFO] decent_vla.runtime.round_loop: round 88 updates=1 mean_loss=0.0148
180
+ 2026-11-01 21:19:11,278 [INFO] decent_vla.runtime.round_loop: round 89 updates=1 mean_loss=0.0149
181
+ 2026-11-01 21:24:58,818 [INFO] decent_vla.runtime.round_loop: round 90 updates=1 mean_loss=0.0149
182
+ 2026-11-01 21:30:46,728 [INFO] decent_vla.runtime.round_loop: round 91 updates=1 mean_loss=0.0145
183
+ 2026-11-01 21:36:34,472 [INFO] decent_vla.runtime.round_loop: round 92 updates=1 mean_loss=0.0145
184
+ 2026-11-01 21:42:21,844 [INFO] decent_vla.runtime.round_loop: round 93 updates=1 mean_loss=0.0146
185
+ 2026-11-01 21:48:09,537 [INFO] decent_vla.runtime.round_loop: round 94 updates=1 mean_loss=0.0146
186
+ 2026-11-01 21:53:57,671 [INFO] decent_vla.runtime.round_loop: round 95 updates=1 mean_loss=0.0150
187
+ 2026-11-01 21:59:45,166 [INFO] decent_vla.runtime.round_loop: round 96 updates=1 mean_loss=0.0148
188
+ 2026-11-01 22:05:32,445 [INFO] decent_vla.runtime.round_loop: round 97 updates=1 mean_loss=0.0147
189
+ 2026-11-01 22:11:19,688 [INFO] decent_vla.runtime.round_loop: round 98 updates=1 mean_loss=0.0147
190
+ 2026-11-01 22:17:06,980 [INFO] decent_vla.runtime.round_loop: round 99 updates=1 mean_loss=0.0147
191
+ 2026-11-01 22:22:54,261 [INFO] decent_vla.runtime.round_loop: round 100 updates=1 mean_loss=0.0148
192
+ 2026-11-01 22:28:42,105 [INFO] decent_vla.runtime.round_loop: round 101 updates=1 mean_loss=0.0147
193
+ 2026-11-01 22:34:29,543 [INFO] decent_vla.runtime.round_loop: round 102 updates=1 mean_loss=0.0147
194
+ 2026-11-01 22:40:17,248 [INFO] decent_vla.runtime.round_loop: round 103 updates=1 mean_loss=0.0149
195
+ 2026-11-01 22:46:05,075 [INFO] decent_vla.runtime.round_loop: round 104 updates=1 mean_loss=0.0146
196
+ 2026-11-01 22:51:52,762 [INFO] decent_vla.runtime.round_loop: round 105 updates=1 mean_loss=0.0145
197
+ 2026-11-01 22:57:39,997 [INFO] decent_vla.runtime.round_loop: round 106 updates=1 mean_loss=0.0143
198
+ 2026-11-01 23:03:27,313 [INFO] decent_vla.runtime.round_loop: round 107 updates=1 mean_loss=0.0144
199
+ 2026-11-01 23:09:14,768 [INFO] decent_vla.runtime.round_loop: round 108 updates=1 mean_loss=0.0145
200
+ 2026-11-01 23:15:02,977 [INFO] decent_vla.runtime.round_loop: round 109 updates=1 mean_loss=0.0144
201
+ 2026-11-01 23:20:50,995 [INFO] decent_vla.runtime.round_loop: round 110 updates=1 mean_loss=0.0144
202
+ 2026-11-01 23:26:38,658 [INFO] decent_vla.runtime.round_loop: round 111 updates=1 mean_loss=0.0146
203
+ 2026-11-01 23:32:26,799 [INFO] decent_vla.runtime.round_loop: round 112 updates=1 mean_loss=0.0147
204
+ 2026-11-01 23:38:14,507 [INFO] decent_vla.runtime.round_loop: round 113 updates=1 mean_loss=0.0147
205
+ 2026-11-01 23:44:02,379 [INFO] decent_vla.runtime.round_loop: round 114 updates=1 mean_loss=0.0145
206
+ 2026-11-01 23:49:49,903 [INFO] decent_vla.runtime.round_loop: round 115 updates=1 mean_loss=0.0144
207
+ 2026-11-01 23:55:40,575 [INFO] decent_vla.runtime.round_loop: round 116 updates=1 mean_loss=0.0146
208
+ 2026-11-02 00:01:28,495 [INFO] decent_vla.runtime.round_loop: round 117 updates=1 mean_loss=0.0146
209
+ 2026-11-02 00:07:15,765 [INFO] decent_vla.runtime.round_loop: round 118 updates=1 mean_loss=0.0144
210
+ 2026-11-02 00:13:03,636 [INFO] decent_vla.runtime.round_loop: round 119 updates=1 mean_loss=0.0143
211
+ 2026-11-02 00:18:58,931 [INFO] decent_vla.runtime.round_loop: round 120 updates=1 mean_loss=0.0145
212
+ 2026-11-02 00:24:46,484 [INFO] decent_vla.runtime.round_loop: round 121 updates=1 mean_loss=0.0144
213
+ 2026-11-02 00:30:34,773 [INFO] decent_vla.runtime.round_loop: round 122 updates=1 mean_loss=0.0144
214
+ 2026-11-02 00:36:22,613 [INFO] decent_vla.runtime.round_loop: round 123 updates=1 mean_loss=0.0144
215
+ 2026-11-02 00:42:10,121 [INFO] decent_vla.runtime.round_loop: round 124 updates=1 mean_loss=0.0143
216
+ 2026-11-02 00:47:57,666 [INFO] decent_vla.runtime.round_loop: round 125 updates=1 mean_loss=0.0143
217
+ 2026-11-02 00:53:45,952 [INFO] decent_vla.runtime.round_loop: round 126 updates=1 mean_loss=0.0144
218
+ 2026-11-02 00:59:35,851 [INFO] decent_vla.runtime.round_loop: round 127 updates=1 mean_loss=0.0143
219
+ 2026-11-02 01:05:23,619 [INFO] decent_vla.runtime.round_loop: round 128 updates=1 mean_loss=0.0143
220
+ 2026-11-02 01:11:11,292 [INFO] decent_vla.runtime.round_loop: round 129 updates=1 mean_loss=0.0141
221
+ 2026-11-02 01:16:59,203 [INFO] decent_vla.runtime.round_loop: round 130 updates=1 mean_loss=0.0141
222
+ 2026-11-02 01:22:47,066 [INFO] decent_vla.runtime.round_loop: round 131 updates=1 mean_loss=0.0141
223
+ 2026-11-02 01:28:35,329 [INFO] decent_vla.runtime.round_loop: round 132 updates=1 mean_loss=0.0142
224
+ 2026-11-02 01:34:23,421 [INFO] decent_vla.runtime.round_loop: round 133 updates=1 mean_loss=0.0143
225
+ 2026-11-02 01:40:10,566 [INFO] decent_vla.runtime.round_loop: round 134 updates=1 mean_loss=0.0141
226
+ 2026-11-02 01:45:58,099 [INFO] decent_vla.runtime.round_loop: round 135 updates=1 mean_loss=0.0141
227
+ 2026-11-02 01:51:45,511 [INFO] decent_vla.runtime.round_loop: round 136 updates=1 mean_loss=0.0139
228
+ 2026-11-02 01:57:33,583 [INFO] decent_vla.runtime.round_loop: round 137 updates=1 mean_loss=0.0141
229
+ 2026-11-02 02:03:21,160 [INFO] decent_vla.runtime.round_loop: round 138 updates=1 mean_loss=0.0139
230
+ 2026-11-02 02:09:08,604 [INFO] decent_vla.runtime.round_loop: round 139 updates=1 mean_loss=0.0138
231
+ 2026-11-02 02:15:28,821 [INFO] decent_vla.runtime.round_loop: round 140 updates=1 mean_loss=0.0142
232
+ 2026-11-02 02:21:15,841 [INFO] decent_vla.runtime.round_loop: round 141 updates=1 mean_loss=0.0141
233
+ 2026-11-02 02:27:47,892 [INFO] decent_vla.runtime.round_loop: round 142 updates=1 mean_loss=0.0142
234
+ 2026-11-02 02:34:21,429 [INFO] decent_vla.runtime.round_loop: round 143 updates=1 mean_loss=0.0138
235
+ 2026-11-02 02:40:30,038 [INFO] decent_vla.runtime.round_loop: round 144 updates=1 mean_loss=0.0139
236
+ 2026-11-02 02:48:34,164 [INFO] decent_vla.runtime.round_loop: round 145 updates=1 mean_loss=0.0139
237
+ 2026-11-02 02:54:21,469 [INFO] decent_vla.runtime.round_loop: round 146 updates=1 mean_loss=0.0139
238
+ 2026-11-02 03:02:33,605 [INFO] decent_vla.runtime.round_loop: round 147 updates=1 mean_loss=0.0138
239
+ 2026-11-02 03:10:03,034 [INFO] decent_vla.runtime.round_loop: round 148 updates=1 mean_loss=0.0138
240
+ 2026-11-02 03:15:50,044 [INFO] decent_vla.runtime.round_loop: round 149 updates=1 mean_loss=0.0139
241
+ 2026-11-02 03:21:37,264 [INFO] decent_vla.runtime.round_loop: round 150 updates=1 mean_loss=0.0139
242
+ 2026-11-02 03:27:24,229 [INFO] decent_vla.runtime.round_loop: round 151 updates=1 mean_loss=0.0136
243
+ 2026-11-02 03:34:47,848 [INFO] decent_vla.runtime.round_loop: round 152 updates=1 mean_loss=0.0141
244
+ 2026-11-02 03:42:21,974 [INFO] decent_vla.runtime.round_loop: round 153 updates=1 mean_loss=0.0140
245
+ 2026-11-02 03:48:09,483 [INFO] decent_vla.runtime.round_loop: round 154 updates=1 mean_loss=0.0136
246
+ 2026-11-02 03:56:21,220 [INFO] decent_vla.runtime.round_loop: round 155 updates=1 mean_loss=0.0139
247
+ 2026-11-02 04:03:51,038 [INFO] decent_vla.runtime.round_loop: round 156 updates=1 mean_loss=0.0140
248
+ 2026-11-02 04:11:20,071 [INFO] decent_vla.runtime.round_loop: round 157 updates=1 mean_loss=0.0141
249
+ 2026-11-02 04:18:39,719 [INFO] decent_vla.runtime.round_loop: round 158 updates=1 mean_loss=0.0139
250
+ 2026-11-02 04:26:03,641 [INFO] decent_vla.runtime.round_loop: round 159 updates=1 mean_loss=0.0140
251
+ 2026-11-02 04:36:42,907 [INFO] decent_vla.runtime.round_loop: round 160 updates=1 mean_loss=0.0140
252
+ 2026-11-02 04:47:24,093 [INFO] decent_vla.runtime.round_loop: round 161 updates=1 mean_loss=0.0141
253
+ 2026-11-02 04:55:37,933 [INFO] decent_vla.runtime.round_loop: round 162 updates=1 mean_loss=0.0139
254
+ 2026-11-02 05:05:32,903 [INFO] decent_vla.runtime.round_loop: round 163 updates=1 mean_loss=0.0140
255
+ 2026-11-02 05:13:46,526 [INFO] decent_vla.runtime.round_loop: round 164 updates=1 mean_loss=0.0139
256
+ 2026-11-02 05:21:37,591 [INFO] decent_vla.runtime.round_loop: round 165 updates=1 mean_loss=0.0139
257
+ 2026-11-02 05:29:28,441 [INFO] decent_vla.runtime.round_loop: round 166 updates=1 mean_loss=0.0137
258
+ 2026-11-02 05:35:17,461 [INFO] decent_vla.runtime.round_loop: round 167 updates=1 mean_loss=0.0136
259
+ 2026-11-02 05:41:06,985 [INFO] decent_vla.runtime.round_loop: round 168 updates=1 mean_loss=0.0137
260
+ 2026-11-02 05:49:06,420 [INFO] decent_vla.runtime.round_loop: round 169 updates=1 mean_loss=0.0134
261
+ 2026-11-02 05:57:21,447 [INFO] decent_vla.runtime.round_loop: round 170 updates=1 mean_loss=0.0135
262
+ 2026-11-02 06:03:10,975 [INFO] decent_vla.runtime.round_loop: round 171 updates=1 mean_loss=0.0136
263
+ 2026-11-02 06:11:20,747 [INFO] decent_vla.runtime.round_loop: round 172 updates=1 mean_loss=0.0137
264
+ 2026-11-02 06:19:34,753 [INFO] decent_vla.runtime.round_loop: round 173 updates=1 mean_loss=0.0136
265
+ 2026-11-02 06:27:43,565 [INFO] decent_vla.runtime.round_loop: round 174 updates=1 mean_loss=0.0137
266
+ 2026-11-02 06:35:57,971 [INFO] decent_vla.runtime.round_loop: round 175 updates=1 mean_loss=0.0136
267
+ 2026-11-02 06:43:57,720 [INFO] decent_vla.runtime.round_loop: round 176 updates=1 mean_loss=0.0137
268
+ 2026-11-02 06:49:46,138 [INFO] decent_vla.runtime.round_loop: round 177 updates=1 mean_loss=0.0136
269
+ 2026-11-02 06:57:43,338 [INFO] decent_vla.runtime.round_loop: round 178 updates=1 mean_loss=0.0137
270
+ 2026-11-02 07:03:33,577 [INFO] decent_vla.runtime.round_loop: round 179 updates=1 mean_loss=0.0137
271
+ 2026-11-02 07:11:34,027 [INFO] decent_vla.runtime.round_loop: round 180 updates=1 mean_loss=0.0136
272
+ 2026-11-02 07:18:22,790 [INFO] decent_vla.runtime.round_loop: round 181 updates=1 mean_loss=0.0140
273
+ 2026-11-02 07:24:13,649 [INFO] decent_vla.runtime.round_loop: round 182 updates=1 mean_loss=0.0137
274
+ 2026-11-02 07:31:46,131 [INFO] decent_vla.runtime.round_loop: round 183 updates=1 mean_loss=0.0138
275
+ 2026-11-02 07:39:49,421 [INFO] decent_vla.runtime.round_loop: round 184 updates=1 mean_loss=0.0136
276
+ 2026-11-02 07:45:38,820 [INFO] decent_vla.runtime.round_loop: round 185 updates=1 mean_loss=0.0135
277
+ 2026-11-02 07:51:28,575 [INFO] decent_vla.runtime.round_loop: round 186 updates=1 mean_loss=0.0136
278
+ 2026-11-02 07:58:19,825 [INFO] decent_vla.runtime.round_loop: round 187 updates=1 mean_loss=0.0139
279
+ 2026-11-02 08:04:09,278 [INFO] decent_vla.runtime.round_loop: round 188 updates=1 mean_loss=0.0137
280
+ 2026-11-02 08:12:05,428 [INFO] decent_vla.runtime.round_loop: round 189 updates=1 mean_loss=0.0136
281
+ 2026-11-02 08:21:53,872 [INFO] decent_vla.runtime.round_loop: round 190 updates=1 mean_loss=0.0136
282
+ 2026-11-02 08:27:47,012 [INFO] decent_vla.runtime.round_loop: round 191 updates=1 mean_loss=0.0135
283
+ 2026-11-02 08:33:40,066 [INFO] decent_vla.runtime.round_loop: round 192 updates=1 mean_loss=0.0135
284
+ 2026-11-02 08:45:23,276 [INFO] decent_vla.runtime.round_loop: round 193 updates=1 mean_loss=0.0136
285
+ 2026-11-02 08:51:14,672 [INFO] decent_vla.runtime.round_loop: round 194 updates=1 mean_loss=0.0136
286
+ 2026-11-02 09:03:44,916 [INFO] decent_vla.runtime.round_loop: round 195 updates=1 mean_loss=0.0133
287
+ 2026-11-02 09:09:38,709 [INFO] decent_vla.runtime.round_loop: round 196 updates=1 mean_loss=0.0135
288
+ 2026-11-02 09:15:28,767 [INFO] decent_vla.runtime.round_loop: round 197 updates=1 mean_loss=0.0132
289
+ 2026-11-02 09:23:44,560 [INFO] decent_vla.runtime.round_loop: round 198 updates=1 mean_loss=0.0134
290
+ 2026-11-02 09:31:46,821 [INFO] decent_vla.runtime.round_loop: round 199 updates=1 mean_loss=0.0134
291
+ 2026-11-02 09:41:55,497 [INFO] decent_vla.runtime.round_loop: round 200 updates=1 mean_loss=0.0133
292
+ 2026-11-02 09:48:19,818 [INFO] decent_vla.runtime.round_loop: round 201 updates=1 mean_loss=0.0130
293
+ 2026-11-02 10:00:07,467 [INFO] decent_vla.runtime.round_loop: round 202 updates=1 mean_loss=0.0131
294
+ 2026-11-02 10:21:30,368 [INFO] decent_vla.runtime.round_loop: round 203 updates=1 mean_loss=0.0133
295
+ 2026-11-02 10:32:15,171 [INFO] decent_vla.runtime.round_loop: round 204 updates=1 mean_loss=0.0134
296
+ 2026-11-02 10:42:58,610 [INFO] decent_vla.runtime.round_loop: round 205 updates=1 mean_loss=0.0133
297
+ 2026-11-02 10:50:58,524 [INFO] decent_vla.runtime.round_loop: round 206 updates=1 mean_loss=0.0135
298
+ 2026-11-02 10:56:56,497 [INFO] decent_vla.runtime.round_loop: round 207 updates=1 mean_loss=0.0135
299
+ 2026-11-02 11:08:09,733 [INFO] decent_vla.runtime.round_loop: round 208 updates=1 mean_loss=0.0133
300
+ 2026-11-02 11:21:14,643 [INFO] decent_vla.runtime.round_loop: round 209 updates=1 mean_loss=0.0132
301
+ 2026-11-02 11:35:09,923 [INFO] decent_vla.runtime.round_loop: round 210 updates=1 mean_loss=0.0131
302
+ 2026-11-02 11:45:05,106 [INFO] decent_vla.runtime.round_loop: round 211 updates=1 mean_loss=0.0130
303
+ 2026-11-02 11:51:01,024 [INFO] decent_vla.runtime.round_loop: round 212 updates=1 mean_loss=0.0133
304
+ 2026-11-02 11:59:48,697 [INFO] decent_vla.runtime.round_loop: round 213 updates=1 mean_loss=0.0133
305
+ 2026-11-02 12:12:45,643 [INFO] decent_vla.runtime.round_loop: round 214 updates=1 mean_loss=0.0132
306
+ 2026-11-02 12:20:59,664 [INFO] decent_vla.runtime.round_loop: round 215 updates=1 mean_loss=0.0134
307
+ 2026-11-02 12:26:57,953 [INFO] decent_vla.runtime.round_loop: round 216 updates=1 mean_loss=0.0134
308
+ 2026-11-02 12:46:39,478 [INFO] decent_vla.runtime.round_loop: round 217 updates=1 mean_loss=0.0133
309
+ 2026-11-02 12:54:52,779 [INFO] decent_vla.runtime.round_loop: round 218 updates=1 mean_loss=0.0131
310
+ 2026-11-02 13:05:32,196 [INFO] decent_vla.runtime.round_loop: round 219 updates=1 mean_loss=0.0132
311
+ 2026-11-02 13:20:48,055 [INFO] decent_vla.runtime.round_loop: round 220 updates=1 mean_loss=0.0134
312
+ 2026-11-02 13:26:39,230 [INFO] decent_vla.runtime.round_loop: round 221 updates=1 mean_loss=0.0131
313
+ 2026-11-02 13:36:55,306 [INFO] decent_vla.runtime.round_loop: round 222 updates=1 mean_loss=0.0133
314
+ 2026-11-02 13:48:29,488 [INFO] decent_vla.runtime.round_loop: round 223 updates=1 mean_loss=0.0131
315
+ 2026-11-02 13:56:56,160 [INFO] decent_vla.runtime.round_loop: round 224 updates=1 mean_loss=0.0130
316
+ 2026-11-02 14:05:36,194 [INFO] decent_vla.runtime.round_loop: round 225 updates=1 mean_loss=0.0131
317
+ 2026-11-02 14:16:00,236 [INFO] decent_vla.runtime.round_loop: round 226 updates=1 mean_loss=0.0129
318
+ 2026-11-02 14:25:53,670 [INFO] decent_vla.runtime.round_loop: round 227 updates=1 mean_loss=0.0131
319
+ 2026-11-02 14:36:07,871 [INFO] decent_vla.runtime.round_loop: round 228 updates=1 mean_loss=0.0130
320
+ 2026-11-02 14:46:02,770 [INFO] decent_vla.runtime.round_loop: round 229 updates=1 mean_loss=0.0131
321
+ 2026-11-02 14:51:55,144 [INFO] decent_vla.runtime.round_loop: round 230 updates=1 mean_loss=0.0129
322
+ 2026-11-02 15:00:06,670 [INFO] decent_vla.runtime.round_loop: round 231 updates=1 mean_loss=0.0131
323
+ 2026-11-02 15:09:15,291 [INFO] decent_vla.runtime.round_loop: round 232 updates=1 mean_loss=0.0130
324
+ 2026-11-02 15:15:06,904 [INFO] decent_vla.runtime.round_loop: round 233 updates=1 mean_loss=0.0132
325
+ 2026-11-02 15:34:24,425 [INFO] decent_vla.runtime.round_loop: round 234 updates=1 mean_loss=0.0132
326
+ 2026-11-02 15:44:28,193 [INFO] decent_vla.runtime.round_loop: round 235 updates=1 mean_loss=0.0133
327
+ 2026-11-02 15:55:52,760 [INFO] decent_vla.runtime.round_loop: round 236 updates=1 mean_loss=0.0132
328
+ 2026-11-02 16:07:59,743 [INFO] decent_vla.runtime.round_loop: round 237 updates=1 mean_loss=0.0133
329
+ 2026-11-02 16:17:15,854 [INFO] decent_vla.runtime.round_loop: round 238 updates=1 mean_loss=0.0132
330
+ 2026-11-02 16:42:54,699 [INFO] decent_vla.runtime.round_loop: round 239 updates=1 mean_loss=0.0131
331
+ 2026-11-02 17:10:29,081 [INFO] decent_vla.runtime.round_loop: round 240 updates=1 mean_loss=0.0135
332
+ 2026-11-02 17:23:48,323 [INFO] decent_vla.runtime.round_loop: round 241 updates=1 mean_loss=0.0135
333
+ 2026-11-02 17:33:33,027 [INFO] decent_vla.runtime.round_loop: round 242 updates=1 mean_loss=0.0133
334
+ 2026-11-02 17:43:30,452 [INFO] decent_vla.runtime.round_loop: round 243 updates=1 mean_loss=0.0133
335
+ 2026-11-02 17:53:43,882 [INFO] decent_vla.runtime.round_loop: round 244 updates=1 mean_loss=0.0131
336
+ 2026-11-02 18:08:30,991 [INFO] decent_vla.runtime.round_loop: round 245 updates=1 mean_loss=0.0131
337
+ 2026-11-02 18:18:11,680 [INFO] decent_vla.runtime.round_loop: round 246 updates=1 mean_loss=0.0132
338
+ 2026-11-02 18:24:48,537 [INFO] decent_vla.runtime.round_loop: round 247 updates=1 mean_loss=0.0132
339
+ 2026-11-02 18:30:49,878 [INFO] decent_vla.runtime.round_loop: round 248 updates=1 mean_loss=0.0132
340
+ 2026-11-02 18:38:16,761 [INFO] decent_vla.runtime.round_loop: round 249 updates=1 mean_loss=0.0130
341
+ 2026-11-02 18:44:18,081 [INFO] decent_vla.runtime.round_loop: round 250 updates=1 mean_loss=0.0131
342
+ 2026-11-02 18:50:16,133 [INFO] decent_vla.runtime.round_loop: round 251 updates=1 mean_loss=0.0130
343
+ 2026-11-02 18:59:05,157 [INFO] decent_vla.runtime.round_loop: round 252 updates=1 mean_loss=0.0130
344
+ 2026-11-02 19:05:00,144 [INFO] decent_vla.runtime.round_loop: round 253 updates=1 mean_loss=0.0130
345
+ 2026-11-02 19:13:17,225 [INFO] decent_vla.runtime.round_loop: round 254 updates=1 mean_loss=0.0131
346
+ 2026-11-02 19:21:29,796 [INFO] decent_vla.runtime.round_loop: round 255 updates=1 mean_loss=0.0133
347
+ 2026-11-02 19:29:36,531 [INFO] decent_vla.runtime.round_loop: round 256 updates=1 mean_loss=0.0133
348
+ 2026-11-02 19:39:02,087 [INFO] decent_vla.runtime.round_loop: round 257 updates=1 mean_loss=0.0132
349
+ 2026-11-02 19:47:30,712 [INFO] decent_vla.runtime.round_loop: round 258 updates=1 mean_loss=0.0133
350
+ 2026-11-02 19:53:26,823 [INFO] decent_vla.runtime.round_loop: round 259 updates=1 mean_loss=0.0131
351
+ 2026-11-02 20:02:02,199 [INFO] decent_vla.runtime.round_loop: round 260 updates=1 mean_loss=0.0131
352
+ 2026-11-02 20:11:19,304 [INFO] decent_vla.runtime.round_loop: round 261 updates=1 mean_loss=0.0133
353
+ 2026-11-02 20:26:38,302 [INFO] decent_vla.runtime.round_loop: round 262 updates=1 mean_loss=0.0132
354
+ 2026-11-02 20:32:25,862 [INFO] decent_vla.runtime.round_loop: round 263 updates=1 mean_loss=0.0129
355
+ 2026-11-02 20:40:48,832 [INFO] decent_vla.runtime.round_loop: round 264 updates=1 mean_loss=0.0132
356
+ 2026-11-02 20:46:48,878 [INFO] decent_vla.runtime.round_loop: round 265 updates=1 mean_loss=0.0132
357
+ 2026-11-02 20:55:03,454 [INFO] decent_vla.runtime.round_loop: round 266 updates=1 mean_loss=0.0129
358
+ 2026-11-02 21:03:37,328 [INFO] decent_vla.runtime.round_loop: round 267 updates=1 mean_loss=0.0131
359
+ 2026-11-02 21:12:15,512 [INFO] decent_vla.runtime.round_loop: round 268 updates=1 mean_loss=0.0131
360
+ 2026-11-02 21:21:03,716 [INFO] decent_vla.runtime.round_loop: round 269 updates=1 mean_loss=0.0129
361
+ 2026-11-02 21:29:34,480 [INFO] decent_vla.runtime.round_loop: round 270 updates=1 mean_loss=0.0131
362
+ 2026-11-02 21:37:33,554 [INFO] decent_vla.runtime.round_loop: round 271 updates=1 mean_loss=0.0131
363
+ 2026-11-02 21:45:37,150 [INFO] decent_vla.runtime.round_loop: round 272 updates=1 mean_loss=0.0130
364
+ 2026-11-02 22:00:44,022 [INFO] decent_vla.runtime.round_loop: round 273 updates=1 mean_loss=0.0131
365
+ 2026-11-02 22:10:18,842 [INFO] decent_vla.runtime.round_loop: round 274 updates=1 mean_loss=0.0130
366
+ 2026-11-02 22:19:13,534 [INFO] decent_vla.runtime.round_loop: round 275 updates=1 mean_loss=0.0127
367
+ 2026-11-02 22:25:03,281 [INFO] decent_vla.runtime.round_loop: round 276 updates=1 mean_loss=0.0127
368
+ 2026-11-02 22:33:13,349 [INFO] decent_vla.runtime.round_loop: round 277 updates=1 mean_loss=0.0129
369
+ 2026-11-02 22:40:58,628 [INFO] decent_vla.runtime.round_loop: round 278 updates=1 mean_loss=0.0131
370
+ 2026-11-02 22:48:39,302 [INFO] decent_vla.runtime.round_loop: round 279 updates=1 mean_loss=0.0131
371
+ 2026-11-02 22:56:19,684 [INFO] decent_vla.runtime.round_loop: round 280 updates=1 mean_loss=0.0133
372
+ 2026-11-02 23:08:04,550 [INFO] decent_vla.runtime.round_loop: round 281 updates=1 mean_loss=0.0130
373
+ 2026-11-02 23:14:00,080 [INFO] decent_vla.runtime.round_loop: round 282 updates=1 mean_loss=0.0127
374
+ 2026-11-02 23:19:50,802 [INFO] decent_vla.runtime.round_loop: round 283 updates=1 mean_loss=0.0128
375
+ 2026-11-02 23:25:46,655 [INFO] decent_vla.runtime.round_loop: round 284 updates=1 mean_loss=0.0130
376
+ 2026-11-02 23:32:57,510 [INFO] decent_vla.runtime.round_loop: round 285 updates=1 mean_loss=0.0130
377
+ 2026-11-02 23:40:18,295 [INFO] decent_vla.runtime.round_loop: round 286 updates=1 mean_loss=0.0130
378
+ 2026-11-02 23:46:27,056 [INFO] decent_vla.runtime.round_loop: round 287 updates=1 mean_loss=0.0131
379
+ 2026-11-02 23:52:18,498 [INFO] decent_vla.runtime.round_loop: round 288 updates=1 mean_loss=0.0130
380
+ 2026-11-03 00:00:17,361 [INFO] decent_vla.runtime.round_loop: round 289 updates=1 mean_loss=0.0128
381
+ 2026-11-03 00:06:04,684 [INFO] decent_vla.runtime.round_loop: round 290 updates=1 mean_loss=0.0128
382
+ 2026-11-03 00:11:56,832 [INFO] decent_vla.runtime.round_loop: round 291 updates=1 mean_loss=0.0131
383
+ 2026-11-03 00:18:00,833 [INFO] decent_vla.runtime.round_loop: round 292 updates=1 mean_loss=0.0129
384
+ 2026-11-03 00:24:01,087 [INFO] decent_vla.runtime.round_loop: round 293 updates=1 mean_loss=0.0129
385
+ 2026-11-03 00:32:47,770 [INFO] decent_vla.runtime.round_loop: round 294 updates=1 mean_loss=0.0130
386
+ 2026-11-03 00:41:22,548 [INFO] decent_vla.runtime.round_loop: round 295 updates=1 mean_loss=0.0129
387
+ 2026-11-03 00:52:08,684 [INFO] decent_vla.runtime.round_loop: round 296 updates=1 mean_loss=0.0128
388
+ 2026-11-03 01:03:47,812 [INFO] decent_vla.runtime.round_loop: round 297 updates=1 mean_loss=0.0128
389
+ 2026-11-03 01:18:55,260 [INFO] decent_vla.runtime.round_loop: round 298 updates=1 mean_loss=0.0129
390
+ 2026-11-03 01:24:47,008 [INFO] decent_vla.runtime.round_loop: round 299 updates=1 mean_loss=0.0130
391
+ 2026-11-03 01:32:57,553 [INFO] decent_vla.runtime.round_loop: round 300 updates=1 mean_loss=0.0130
392
+ 2026-11-03 01:40:30,046 [INFO] decent_vla.runtime.round_loop: round 301 updates=1 mean_loss=0.0130
393
+ 2026-11-03 01:52:42,062 [INFO] decent_vla.runtime.round_loop: round 302 updates=1 mean_loss=0.0126
394
+ 2026-11-03 02:00:34,667 [INFO] decent_vla.runtime.round_loop: round 303 updates=1 mean_loss=0.0129
395
+ 2026-11-03 02:06:22,040 [INFO] decent_vla.runtime.round_loop: round 304 updates=1 mean_loss=0.0130
396
+ 2026-11-03 02:13:48,840 [INFO] decent_vla.runtime.round_loop: round 305 updates=1 mean_loss=0.0128
397
+ 2026-11-03 02:19:39,074 [INFO] decent_vla.runtime.round_loop: round 306 updates=1 mean_loss=0.0130
398
+ 2026-11-03 02:27:04,635 [INFO] decent_vla.runtime.round_loop: round 307 updates=1 mean_loss=0.0129
399
+ 2026-11-03 02:36:18,162 [INFO] decent_vla.runtime.round_loop: round 308 updates=1 mean_loss=0.0132
400
+ 2026-11-03 02:42:05,060 [INFO] decent_vla.runtime.round_loop: round 309 updates=1 mean_loss=0.0132
401
+ 2026-11-03 02:49:38,451 [INFO] decent_vla.runtime.round_loop: round 310 updates=1 mean_loss=0.0129
402
+ 2026-11-03 02:58:02,800 [INFO] decent_vla.runtime.round_loop: round 311 updates=1 mean_loss=0.0129
403
+ 2026-11-03 03:06:15,743 [INFO] decent_vla.runtime.round_loop: round 312 updates=1 mean_loss=0.0130
404
+ 2026-11-03 03:12:03,247 [INFO] decent_vla.runtime.round_loop: round 313 updates=1 mean_loss=0.0128
405
+ 2026-11-03 03:20:55,946 [INFO] decent_vla.runtime.round_loop: round 314 updates=1 mean_loss=0.0128
406
+ 2026-11-03 03:29:19,904 [INFO] decent_vla.runtime.round_loop: round 315 updates=1 mean_loss=0.0129
407
+ 2026-11-03 03:35:07,721 [INFO] decent_vla.runtime.round_loop: round 316 updates=1 mean_loss=0.0128
408
+ 2026-11-03 03:41:07,468 [INFO] decent_vla.runtime.round_loop: round 317 updates=1 mean_loss=0.0127
409
+ 2026-11-03 03:49:15,925 [INFO] decent_vla.runtime.round_loop: round 318 updates=1 mean_loss=0.0128
410
+ 2026-11-03 03:55:03,816 [INFO] decent_vla.runtime.round_loop: round 319 updates=1 mean_loss=0.0129
411
+ 2026-11-03 04:02:54,661 [INFO] decent_vla.runtime.round_loop: round 320 updates=1 mean_loss=0.0128
412
+ 2026-11-03 04:09:23,051 [INFO] decent_vla.runtime.round_loop: round 321 updates=1 mean_loss=0.0126
413
+ 2026-11-03 04:17:37,206 [INFO] decent_vla.runtime.round_loop: round 322 updates=1 mean_loss=0.0127
414
+ 2026-11-03 04:25:56,233 [INFO] decent_vla.runtime.round_loop: round 323 updates=1 mean_loss=0.0125
415
+ 2026-11-03 04:33:58,346 [INFO] decent_vla.runtime.round_loop: round 324 updates=1 mean_loss=0.0129
416
+ 2026-11-03 04:44:01,596 [INFO] decent_vla.runtime.round_loop: round 325 updates=1 mean_loss=0.0127
417
+ 2026-11-03 04:56:43,809 [INFO] decent_vla.runtime.round_loop: round 326 updates=1 mean_loss=0.0126
418
+ 2026-11-03 05:06:46,199 [INFO] decent_vla.runtime.round_loop: round 327 updates=1 mean_loss=0.0127
419
+ 2026-11-03 05:14:41,581 [INFO] decent_vla.runtime.round_loop: round 328 updates=1 mean_loss=0.0128
420
+ 2026-11-03 05:26:35,233 [INFO] decent_vla.runtime.round_loop: round 329 updates=1 mean_loss=0.0129
421
+ 2026-11-03 05:34:41,054 [INFO] decent_vla.runtime.round_loop: round 330 updates=1 mean_loss=0.0127
422
+ 2026-11-03 05:42:50,251 [INFO] decent_vla.runtime.round_loop: round 331 updates=1 mean_loss=0.0128
423
+ 2026-11-03 05:50:40,349 [INFO] decent_vla.runtime.round_loop: round 332 updates=1 mean_loss=0.0130
424
+ 2026-11-03 06:00:13,563 [INFO] decent_vla.runtime.round_loop: round 333 updates=1 mean_loss=0.0130
425
+ 2026-11-03 06:08:13,320 [INFO] decent_vla.runtime.round_loop: round 334 updates=1 mean_loss=0.0130
426
+ 2026-11-03 06:16:07,419 [INFO] decent_vla.runtime.round_loop: round 335 updates=1 mean_loss=0.0126
427
+ 2026-11-03 06:26:26,977 [INFO] decent_vla.runtime.round_loop: round 336 updates=1 mean_loss=0.0127
428
+ 2026-11-03 06:34:41,473 [INFO] decent_vla.runtime.round_loop: round 337 updates=1 mean_loss=0.0128
429
+ 2026-11-03 06:45:07,680 [INFO] decent_vla.runtime.round_loop: round 338 updates=1 mean_loss=0.0125
430
+ 2026-11-03 06:53:23,863 [INFO] decent_vla.runtime.round_loop: round 339 updates=1 mean_loss=0.0126
431
+ 2026-11-03 07:01:47,449 [INFO] decent_vla.runtime.round_loop: round 340 updates=1 mean_loss=0.0127
432
+ 2026-11-03 07:12:34,892 [INFO] decent_vla.runtime.round_loop: round 341 updates=1 mean_loss=0.0126
433
+ 2026-11-03 07:20:46,150 [INFO] decent_vla.runtime.round_loop: round 342 updates=1 mean_loss=0.0125
434
+ 2026-11-03 07:26:43,159 [INFO] decent_vla.runtime.round_loop: round 343 updates=1 mean_loss=0.0124
435
+ 2026-11-03 07:34:37,104 [INFO] decent_vla.runtime.round_loop: round 344 updates=1 mean_loss=0.0124
436
+ 2026-11-03 07:42:34,544 [INFO] decent_vla.runtime.round_loop: round 345 updates=1 mean_loss=0.0124
437
+ 2026-11-03 07:50:17,532 [INFO] decent_vla.runtime.round_loop: round 346 updates=1 mean_loss=0.0125
438
+ 2026-11-03 07:56:04,257 [INFO] decent_vla.runtime.round_loop: round 347 updates=1 mean_loss=0.0124
439
+ 2026-11-03 08:03:08,895 [INFO] decent_vla.runtime.round_loop: round 348 updates=1 mean_loss=0.0124
440
+ 2026-11-03 08:10:03,481 [INFO] decent_vla.runtime.round_loop: round 349 updates=1 mean_loss=0.0122
441
+ 2026-11-03 08:17:54,332 [INFO] decent_vla.runtime.round_loop: round 350 updates=1 mean_loss=0.0123
442
+ 2026-11-03 08:25:27,280 [INFO] decent_vla.runtime.round_loop: round 351 updates=1 mean_loss=0.0123
443
+ 2026-11-03 08:32:29,583 [INFO] decent_vla.runtime.round_loop: round 352 updates=1 mean_loss=0.0122
444
+ 2026-11-03 08:38:24,564 [INFO] decent_vla.runtime.round_loop: round 353 updates=1 mean_loss=0.0121
445
+ 2026-11-03 08:44:16,180 [INFO] decent_vla.runtime.round_loop: round 354 updates=1 mean_loss=0.0121
446
+ 2026-11-03 08:52:43,251 [INFO] decent_vla.runtime.round_loop: round 355 updates=1 mean_loss=0.0121
447
+ 2026-11-03 08:58:35,085 [INFO] decent_vla.runtime.round_loop: round 356 updates=1 mean_loss=0.0122
448
+ 2026-11-03 09:06:40,683 [INFO] decent_vla.runtime.round_loop: round 357 updates=1 mean_loss=0.0124
449
+ 2026-11-03 09:12:29,645 [INFO] decent_vla.runtime.round_loop: round 358 updates=1 mean_loss=0.0121
450
+ 2026-11-03 09:20:19,804 [INFO] decent_vla.runtime.round_loop: round 359 updates=1 mean_loss=0.0121
451
+ 2026-11-03 09:28:35,430 [INFO] decent_vla.runtime.round_loop: round 360 updates=1 mean_loss=0.0120
452
+ 2026-11-03 09:52:09,652 [INFO] decent_vla.runtime.round_loop: round 361 updates=1 mean_loss=0.0119
453
+ 2026-11-03 09:59:39,350 [INFO] decent_vla.runtime.round_loop: round 362 updates=1 mean_loss=0.0119
454
+ 2026-11-03 10:06:30,493 [INFO] decent_vla.runtime.round_loop: round 363 updates=1 mean_loss=0.0117
455
+ 2026-11-03 10:12:34,391 [INFO] decent_vla.runtime.round_loop: round 364 updates=1 mean_loss=0.0117
456
+ 2026-11-03 10:18:21,089 [INFO] decent_vla.runtime.round_loop: round 365 updates=1 mean_loss=0.0119
457
+ 2026-11-03 10:25:09,514 [INFO] decent_vla.runtime.round_loop: round 366 updates=1 mean_loss=0.0121
458
+ 2026-11-03 10:32:25,965 [INFO] decent_vla.runtime.round_loop: round 367 updates=1 mean_loss=0.0122
459
+ 2026-11-03 10:38:30,948 [INFO] decent_vla.runtime.round_loop: round 368 updates=1 mean_loss=0.0119
460
+ 2026-11-03 10:44:34,473 [INFO] decent_vla.runtime.round_loop: round 369 updates=1 mean_loss=0.0119
461
+ 2026-11-03 10:50:21,682 [INFO] decent_vla.runtime.round_loop: round 370 updates=1 mean_loss=0.0120
462
+ 2026-11-03 10:57:13,612 [INFO] decent_vla.runtime.round_loop: round 371 updates=1 mean_loss=0.0119
463
+ 2026-11-03 11:03:14,114 [INFO] decent_vla.runtime.round_loop: round 372 updates=1 mean_loss=0.0118
464
+ 2026-11-03 11:11:09,269 [INFO] decent_vla.runtime.round_loop: round 373 updates=1 mean_loss=0.0120
465
+ 2026-11-03 11:18:51,392 [INFO] decent_vla.runtime.round_loop: round 374 updates=1 mean_loss=0.0119
466
+ 2026-11-03 11:24:43,289 [INFO] decent_vla.runtime.round_loop: round 375 updates=1 mean_loss=0.0120
467
+ 2026-11-03 11:32:35,777 [INFO] decent_vla.runtime.round_loop: round 376 updates=1 mean_loss=0.0123
468
+ 2026-11-03 11:38:23,175 [INFO] decent_vla.runtime.round_loop: round 377 updates=1 mean_loss=0.0120
469
+ 2026-11-03 11:45:54,423 [INFO] decent_vla.runtime.round_loop: round 378 updates=1 mean_loss=0.0121
470
+ 2026-11-03 11:53:38,249 [INFO] decent_vla.runtime.round_loop: round 379 updates=1 mean_loss=0.0120
471
+ 2026-11-03 11:59:25,425 [INFO] decent_vla.runtime.round_loop: round 380 updates=1 mean_loss=0.0118
472
+ 2026-11-03 12:06:59,764 [INFO] decent_vla.runtime.round_loop: round 381 updates=1 mean_loss=0.0119
473
+ 2026-11-03 12:12:46,463 [INFO] decent_vla.runtime.round_loop: round 382 updates=1 mean_loss=0.0119
474
+ 2026-11-03 12:20:15,983 [INFO] decent_vla.runtime.round_loop: round 383 updates=1 mean_loss=0.0119
475
+ 2026-11-03 12:26:31,929 [INFO] decent_vla.runtime.round_loop: round 384 updates=1 mean_loss=0.0117
476
+ 2026-11-03 12:32:22,725 [INFO] decent_vla.runtime.round_loop: round 385 updates=1 mean_loss=0.0118
477
+ 2026-11-03 12:39:30,775 [INFO] decent_vla.runtime.round_loop: round 386 updates=1 mean_loss=0.0119
478
+ 2026-11-03 12:45:19,017 [INFO] decent_vla.runtime.round_loop: round 387 updates=1 mean_loss=0.0117
479
+ 2026-11-03 12:51:17,643 [INFO] decent_vla.runtime.round_loop: round 388 updates=1 mean_loss=0.0119
480
+ 2026-11-03 12:58:32,501 [INFO] decent_vla.runtime.round_loop: round 389 updates=1 mean_loss=0.0122
481
+ 2026-11-03 13:06:17,425 [INFO] decent_vla.runtime.round_loop: round 390 updates=1 mean_loss=0.0122
482
+ 2026-11-03 13:14:43,421 [INFO] decent_vla.runtime.round_loop: round 391 updates=1 mean_loss=0.0123
483
+ 2026-11-03 13:22:58,907 [INFO] decent_vla.runtime.round_loop: round 392 updates=1 mean_loss=0.0121
484
+ 2026-11-03 13:28:59,250 [INFO] decent_vla.runtime.round_loop: round 393 updates=1 mean_loss=0.0121
485
+ 2026-11-03 13:34:47,035 [INFO] decent_vla.runtime.round_loop: round 394 updates=1 mean_loss=0.0121
486
+ 2026-11-03 13:43:53,183 [INFO] decent_vla.runtime.round_loop: round 395 updates=1 mean_loss=0.0122
487
+ 2026-11-03 13:51:31,813 [INFO] decent_vla.runtime.round_loop: round 396 updates=1 mean_loss=0.0121
488
+ 2026-11-03 13:57:19,030 [INFO] decent_vla.runtime.round_loop: round 397 updates=1 mean_loss=0.0123
489
+ 2026-11-03 14:03:07,264 [INFO] decent_vla.runtime.round_loop: round 398 updates=1 mean_loss=0.0121
490
+ 2026-11-03 14:10:55,229 [INFO] decent_vla.runtime.round_loop: round 399 updates=1 mean_loss=0.0122
491
+ 2026-11-03 14:18:59,466 [INFO] decent_vla.runtime.round_loop: round 400 updates=1 mean_loss=0.0123
492
+ 2026-11-03 14:18:59,513 [INFO] root: Loaded norm stats from gs://openpi-assets/checkpoints/pi05_droid_jointpos/assets/droid
493
+ 2026-11-03 14:18:59,513 [INFO] root: Loaded norm stats from /data/gaoliu/droidfull8/openpi-cache/openpi-assets/checkpoints/pi05_droid_jointpos/assets/droid
494
+ 2026-11-03 14:18:59,591 [INFO] root: Loaded norm stats from gs://openpi-assets/checkpoints/pi05_droid_jointpos/assets/droid
495
+ wandb:
496
+ wandb: You can sync this run to the cloud by running:
497
+ wandb: wandb sync /data/gaoliu/droidfull8/decent-vla/logs/wandb/offline-run-20261101_124837-openpi_pi05_droidfull8_cent_local
498
+ wandb: Find logs at: logs/wandb/offline-run-20261101_124837-openpi_pi05_droidfull8_cent_local/logs
499
+ FL training complete: 400 rounds, checkpoint at outputs/openpi_pi05_droidfull8_cent_local/checkpoints/round_0400.pt
openpi_pi05_droidfull8_cent_local.yaml ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # ==============================================================================
2
+ # GENERATED by scripts/droid_full8_make_configs.py — edit the generator, not this file.
3
+ # OFFICIAL openpi JAX pi0.5 (full FT from pi05_base) on FULL DROID "droidfull8": CENTRALISED = openpi pi05_full_droid_finetune (1 client = all buildings, batch 256 over 8 GPUs)
4
+ # Data: openpi's full-DROID training set (RLDS droid/1.0.1 under $DROID_RLDS_DIR, successful episodes,
5
+ # openpi's idle filter: 78,864 episodes, 22.13 M frames), read by openpi's own RLDS pipeline.
6
+ # Centralised reference for the 8-client arms (here: 1 client = all buildings).
7
+ # Recipe = openpi pi05_full_droid_finetune: horizon 16, lr 5e-5, clip 1.0, EMA 0.99, 25.6 M samples.
8
+ # Runbook: examples/droid/README_droidfull8.md (relative paths below are from the repo root).
9
+ # ==============================================================================
10
+ name: openpi_pi05_droidfull8_cent_local
11
+ seed: 42
12
+ device: cpu # torch stays on the host; JAX owns the GPUs
13
+
14
+ backend:
15
+ name: openpi
16
+ extra:
17
+ train_config: pi05_droid_full # adapters/openpi/_droid_full.py; RLDS dir from $DROID_RLDS_DIR
18
+ weights: gs://openpi-assets/checkpoints/pi05_base/params
19
+ norm_stats_dir: gs://openpi-assets/checkpoints/pi05_droid_jointpos/assets
20
+ asset_id: droid
21
+ ema_decay: 0.99 # openpi TrainConfig default; the served weights are the EMA
22
+ shuffle_buffer_size: 250000 # openpi DroidRldsDataset (one pipeline)
23
+ num_workers: 32 # transform processes (the FedAvg arm: 8 clients x 4)
24
+ seed: 42
25
+ replan_steps: 15 # RoboLab's pi05 client executes 15 actions per chunk
26
+ devices: [0, 1, 2, 3, 4, 5, 6, 7] # one data-parallel engine over the node
27
+ micro_batch_size: 256 # no accumulation: 32 per card, like one FedAvg client
28
+ optim: # openpi pi05_full_droid_finetune
29
+ name: adamw
30
+ lr: 5.0e-5
31
+ betas: [0.9, 0.95]
32
+ eps: 1.0e-8
33
+ weight_decay: 1.0e-10
34
+ scheduler: cosine
35
+ warmup_steps: 1000
36
+ decay_steps: 1000000
37
+ decay_lr: 5.0e-5
38
+ grad_clip_norm: 1.0 # inside the optax chain (openpi clip_by_global_norm)
39
+
40
+ data:
41
+ name: openpi
42
+ repo_id: droid
43
+ batch_size: 256 # openpi pi05_full_droid_finetune
44
+ num_workers: 32
45
+ partitioning:
46
+ scheme: explicit_episodes # the "episodes" are DROID buildings (partition units)
47
+ num_clients: 1
48
+ client_episodes_file: examples/droid/droid_full_cent_clients.json # one client = every building
49
+ extra:
50
+ droid_buildings: examples/droid/droid_full_buildings.json.gz
51
+
52
+ fl: # 1 client: "FedAvg" of one model = plain training; optimizer + EMA carry across rounds
53
+ strategy:
54
+ name: fedavg
55
+ rounds: 400 # x 250 steps = 100,000 openpi steps (pi05_full_droid_finetune: 100,000)
56
+ local_steps: 250
57
+ min_clients: 1
58
+ execution: local
59
+ save_every_n_rounds: 40 # every 10k steps = openpi's keep_period
60
+ lean_host_memory: true
61
+ output_dir: outputs/openpi_pi05_droidfull8_cent_local
62
+
63
+ wandb:
64
+ project: decent-vla
65
+ name: openpi_pi05_droidfull8_cent_local
66
+ group: droidfull8
67
+ mode: offline
68
+ tags: [openpi, jax, pi05, fullft, droid, droidfull8, cent, h200]
openpi_r200/assets/droid/norm_stats.json ADDED
@@ -0,0 +1,280 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "norm_stats": {
3
+ "actions": {
4
+ "mean": [
5
+ -0.00027342053053236253,
6
+ 0.023949940105734892,
7
+ -0.00033086975858670297,
8
+ 0.017810685682994,
9
+ -0.0008023261255722413,
10
+ 0.010552860505599166,
11
+ 0.003607112609249804,
12
+ 0.45140399925478786,
13
+ 0.0,
14
+ 0.0,
15
+ 0.0,
16
+ 0.0,
17
+ 0.0,
18
+ 0.0,
19
+ 0.0,
20
+ 0.0,
21
+ 0.0,
22
+ 0.0,
23
+ 0.0,
24
+ 0.0,
25
+ 0.0,
26
+ 0.0,
27
+ 0.0,
28
+ 0.0,
29
+ 0.0,
30
+ 0.0,
31
+ 0.0,
32
+ 0.0,
33
+ 0.0,
34
+ 0.0,
35
+ 0.0,
36
+ 0.0
37
+ ],
38
+ "std": [
39
+ 0.09441919822676702,
40
+ 0.17465855057556465,
41
+ 0.09332283253577026,
42
+ 0.15727956049919428,
43
+ 0.14616913317876243,
44
+ 0.1569894686239755,
45
+ 0.17109934755856457,
46
+ 0.4413864921810166,
47
+ 0.0,
48
+ 0.0,
49
+ 0.0,
50
+ 0.0,
51
+ 0.0,
52
+ 0.0,
53
+ 0.0,
54
+ 0.0,
55
+ 0.0,
56
+ 0.0,
57
+ 0.0,
58
+ 0.0,
59
+ 0.0,
60
+ 0.0,
61
+ 0.0,
62
+ 0.0,
63
+ 0.0,
64
+ 0.0,
65
+ 0.0,
66
+ 0.0,
67
+ 0.0,
68
+ 0.0,
69
+ 0.0,
70
+ 0.0
71
+ ],
72
+ "q01": [
73
+ -0.286920549198985,
74
+ -0.45945453632473954,
75
+ -0.28571800187826146,
76
+ -0.4745183891296386,
77
+ -0.46606264920234675,
78
+ -0.4415983498573304,
79
+ -0.5321806037783623,
80
+ 0.0,
81
+ 0.0,
82
+ 0.0,
83
+ 0.0,
84
+ 0.0,
85
+ 0.0,
86
+ 0.0,
87
+ 0.0,
88
+ 0.0,
89
+ 0.0,
90
+ 0.0,
91
+ 0.0,
92
+ 0.0,
93
+ 0.0,
94
+ 0.0,
95
+ 0.0,
96
+ 0.0,
97
+ 0.0,
98
+ 0.0,
99
+ 0.0,
100
+ 0.0,
101
+ 0.0,
102
+ 0.0,
103
+ 0.0,
104
+ 0.0
105
+ ],
106
+ "q99": [
107
+ 0.28556161552667625,
108
+ 0.5270082930922506,
109
+ 0.2831991063714028,
110
+ 0.47013598365783693,
111
+ 0.45336947935819616,
112
+ 0.5001207852363585,
113
+ 0.5320044534891843,
114
+ 0.9998,
115
+ 0.0,
116
+ 0.0,
117
+ 0.0,
118
+ 0.0,
119
+ 0.0,
120
+ 0.0,
121
+ 0.0,
122
+ 0.0,
123
+ 0.0,
124
+ 0.0,
125
+ 0.0,
126
+ 0.0,
127
+ 0.0,
128
+ 0.0,
129
+ 0.0,
130
+ 0.0,
131
+ 0.0,
132
+ 0.0,
133
+ 0.0,
134
+ 0.0,
135
+ 0.0,
136
+ 0.0,
137
+ 0.0,
138
+ 0.0
139
+ ]
140
+ },
141
+ "state": {
142
+ "mean": [
143
+ 0.016237762316468146,
144
+ 0.26715409834621,
145
+ -0.016710053356134087,
146
+ -2.0255712993077326,
147
+ -0.03266582860490208,
148
+ 2.344549184149644,
149
+ 0.08269685385513066,
150
+ 0.3997888614549533,
151
+ 0.0,
152
+ 0.0,
153
+ 0.0,
154
+ 0.0,
155
+ 0.0,
156
+ 0.0,
157
+ 0.0,
158
+ 0.0,
159
+ 0.0,
160
+ 0.0,
161
+ 0.0,
162
+ 0.0,
163
+ 0.0,
164
+ 0.0,
165
+ 0.0,
166
+ 0.0,
167
+ 0.0,
168
+ 0.0,
169
+ 0.0,
170
+ 0.0,
171
+ 0.0,
172
+ 0.0,
173
+ 0.0,
174
+ 0.0
175
+ ],
176
+ "std": [
177
+ 0.30769924638771073,
178
+ 0.48216030004631877,
179
+ 0.26944263961875825,
180
+ 0.48189821046318276,
181
+ 0.5374187843900121,
182
+ 0.45384659499775365,
183
+ 0.7474676080830999,
184
+ 0.40705741517596306,
185
+ 0.0,
186
+ 0.0,
187
+ 0.0,
188
+ 0.0,
189
+ 0.0,
190
+ 0.0,
191
+ 0.0,
192
+ 0.0,
193
+ 0.0,
194
+ 0.0,
195
+ 0.0,
196
+ 0.0,
197
+ 0.0,
198
+ 0.0,
199
+ 0.0,
200
+ 0.0,
201
+ 0.0,
202
+ 0.0,
203
+ 0.0,
204
+ 0.0,
205
+ 0.0,
206
+ 0.0,
207
+ 0.0,
208
+ 0.0
209
+ ],
210
+ "q01": [
211
+ -0.8279732212066653,
212
+ -0.8398311847686768,
213
+ -0.8425482082366944,
214
+ -2.773015278291702,
215
+ -1.8426181347846986,
216
+ 1.1716566389799117,
217
+ -2.047264838027954,
218
+ 0.0,
219
+ 0.0,
220
+ 0.0,
221
+ 0.0,
222
+ 0.0,
223
+ 0.0,
224
+ 0.0,
225
+ 0.0,
226
+ 0.0,
227
+ 0.0,
228
+ 0.0,
229
+ 0.0,
230
+ 0.0,
231
+ 0.0,
232
+ 0.0,
233
+ 0.0,
234
+ 0.0,
235
+ 0.0,
236
+ 0.0,
237
+ 0.0,
238
+ 0.0,
239
+ 0.0,
240
+ 0.0,
241
+ 0.0,
242
+ 0.0
243
+ ],
244
+ "q99": [
245
+ 0.8996522880554196,
246
+ 1.385467470359802,
247
+ 0.6920277433395388,
248
+ -0.4542043057203293,
249
+ 1.732314240932464,
250
+ 3.4672964780330657,
251
+ 2.1984972072601314,
252
+ 0.991,
253
+ 0.0,
254
+ 0.0,
255
+ 0.0,
256
+ 0.0,
257
+ 0.0,
258
+ 0.0,
259
+ 0.0,
260
+ 0.0,
261
+ 0.0,
262
+ 0.0,
263
+ 0.0,
264
+ 0.0,
265
+ 0.0,
266
+ 0.0,
267
+ 0.0,
268
+ 0.0,
269
+ 0.0,
270
+ 0.0,
271
+ 0.0,
272
+ 0.0,
273
+ 0.0,
274
+ 0.0,
275
+ 0.0,
276
+ 0.0
277
+ ]
278
+ }
279
+ }
280
+ }
openpi_r200/export_info.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "source_checkpoint": "outputs/openpi_pi05_droidfull8_cent_local/checkpoints/server_round_0200.pt",
3
+ "round": 199,
4
+ "weights": "ema",
5
+ "tensors_from_checkpoint": 51,
6
+ "tensors_total": 51,
7
+ "base": "gs://openpi-assets/checkpoints/pi05_base/params",
8
+ "dtype": "bfloat16",
9
+ "norm_stats": "/data/gaoliu/droidfull8/openpi-cache/openpi-assets/checkpoints/pi05_droid_jointpos/assets/droid/norm_stats.json",
10
+ "asset_id": "droid",
11
+ "openpi_config": "pi05_droid_jointpos",
12
+ "serve": "uv run scripts/serve_policy.py policy:checkpoint --policy.config=pi05_droid_jointpos --policy.dir=/data/gaoliu/droidfull8/upload_cent/openpi_r200"
13
+ }
openpi_r200/params/_CHECKPOINT_METADATA ADDED
@@ -0,0 +1 @@
 
 
1
+ {"item_handlers": "orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler", "metrics": {}, "performance_metrics": {}, "init_timestamp_nsecs": 1793745428236612658, "commit_timestamp_nsecs": 1793745430882917977, "custom_metadata": {}}
openpi_r200/params/_METADATA ADDED
@@ -0,0 +1 @@
 
 
1
+ {"tree_metadata": {"('params', 'PaliGemma', 'img', 'Transformer', 'encoder_norm', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoder_norm", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoder_norm', 'scale')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoder_norm", "key_type": 2}, {"key": "scale", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'LayerNorm_0', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "LayerNorm_0", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'LayerNorm_0', 'scale')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "LayerNorm_0", "key_type": 2}, {"key": "scale", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'LayerNorm_1', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "LayerNorm_1", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'LayerNorm_1', 'scale')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "LayerNorm_1", "key_type": 2}, {"key": "scale", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MlpBlock_0', 'Dense_0', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MlpBlock_0", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MlpBlock_0', 'Dense_0', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MlpBlock_0", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MlpBlock_0', 'Dense_1', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MlpBlock_0", "key_type": 2}, {"key": "Dense_1", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MlpBlock_0', 'Dense_1', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MlpBlock_0", "key_type": 2}, {"key": "Dense_1", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'key', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "key", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'key', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "key", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'out', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "out", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'out', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "out", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'query', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "query", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'query', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "query", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'value', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "value", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'Transformer', 'encoderblock', 'MultiHeadDotProductAttention_0', 'value', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "Transformer", "key_type": 2}, {"key": "encoderblock", "key_type": 2}, {"key": "MultiHeadDotProductAttention_0", "key_type": 2}, {"key": "value", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'embedding', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "embedding", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'embedding', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "embedding", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'head', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "head", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'head', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "head", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'img', 'pos_embedding')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "img", "key_type": 2}, {"key": "pos_embedding", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'embedder', 'input_embedding')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "embedder", "key_type": 2}, {"key": "input_embedding", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'final_norm', 'scale')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "final_norm", "key_type": 2}, {"key": "scale", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'final_norm_1', 'Dense_0', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "final_norm_1", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'final_norm_1', 'Dense_0', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "final_norm_1", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'attn', 'attn_vec_einsum', 'w')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "attn", "key_type": 2}, {"key": "attn_vec_einsum", "key_type": 2}, {"key": "w", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'attn', 'attn_vec_einsum_1', 'w')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "attn", "key_type": 2}, {"key": "attn_vec_einsum_1", "key_type": 2}, {"key": "w", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'attn', 'kv_einsum', 'w')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "attn", "key_type": 2}, {"key": "kv_einsum", "key_type": 2}, {"key": "w", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'attn', 'kv_einsum_1', 'w')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "attn", "key_type": 2}, {"key": "kv_einsum_1", "key_type": 2}, {"key": "w", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'attn', 'q_einsum', 'w')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "attn", "key_type": 2}, {"key": "q_einsum", "key_type": 2}, {"key": "w", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'attn', 'q_einsum_1', 'w')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "attn", "key_type": 2}, {"key": "q_einsum_1", "key_type": 2}, {"key": "w", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'mlp', 'gating_einsum')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "mlp", "key_type": 2}, {"key": "gating_einsum", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'mlp', 'linear')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "mlp", "key_type": 2}, {"key": "linear", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'mlp_1', 'gating_einsum')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "mlp_1", "key_type": 2}, {"key": "gating_einsum", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'mlp_1', 'linear')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "mlp_1", "key_type": 2}, {"key": "linear", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'pre_attention_norm', 'scale')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "pre_attention_norm", "key_type": 2}, {"key": "scale", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'pre_attention_norm_1', 'Dense_0', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "pre_attention_norm_1", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'pre_attention_norm_1', 'Dense_0', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "pre_attention_norm_1", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'pre_ffw_norm', 'scale')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "pre_ffw_norm", "key_type": 2}, {"key": "scale", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'pre_ffw_norm_1', 'Dense_0', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "pre_ffw_norm_1", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'PaliGemma', 'llm', 'layers', 'pre_ffw_norm_1', 'Dense_0', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "PaliGemma", "key_type": 2}, {"key": "llm", "key_type": 2}, {"key": "layers", "key_type": 2}, {"key": "pre_ffw_norm_1", "key_type": 2}, {"key": "Dense_0", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'action_in_proj', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "action_in_proj", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'action_in_proj', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "action_in_proj", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'action_out_proj', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "action_out_proj", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'action_out_proj', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "action_out_proj", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'time_mlp_in', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "time_mlp_in", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'time_mlp_in', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "time_mlp_in", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'time_mlp_out', 'bias')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "time_mlp_out", "key_type": 2}, {"key": "bias", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}, "('params', 'time_mlp_out', 'kernel')": {"key_metadata": [{"key": "params", "key_type": 2}, {"key": "time_mlp_out", "key_type": 2}, {"key": "kernel", "key_type": 2}], "value_metadata": {"value_type": "np.ndarray", "skip_deserialize": false}}}, "use_zarr3": false, "store_array_data_equal_to_fill_value": true, "custom_metadata": null}
openpi_r200/params/d/c0305415d1875efc92e6244bab52bef0 ADDED
Binary file (2.03 kB). View file
 
openpi_r200/params/manifest.ocdbt ADDED
Binary file (117 Bytes). View file
 
openpi_r200/params/ocdbt.process_0/d/1e431f0f6f27d563b87a653592420f3a ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:54709384eae4318b5911d905fca7d048f681d1ad9c20d22f2360fb257eed6c3c
3
+ size 286574809
openpi_r200/params/ocdbt.process_0/d/205e7c88d6e92b662339d3a8bb5293ad ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0f71040315ce0180e0475c5a3f778912be89a4b577b1ac9b3530e4278606fec8
3
+ size 534553059
openpi_r200/params/ocdbt.process_0/d/27db4de22b5fe3547c914040da26cc8e ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a6f5692255f8af5c11b08f77e24b322511c533d8435ee6576d93a6d727d647c9
3
+ size 828932967
openpi_r200/params/ocdbt.process_0/d/33c28bdb6581866a0fa4ef6d6a5dd99d ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a19ecd0f347a88a8c9482e989a70a298b2bc0dd442b769cca91de1acbc55964
3
+ size 7133281
openpi_r200/params/ocdbt.process_0/d/49b9fc7638c177a3725174be1c236604 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4122d11af4626b2c6ebcb3bbe6c5741006f97c82cc3c019318b24cd455baea56
3
+ size 14714712
openpi_r200/params/ocdbt.process_0/d/5ee9c68f1c1a06987eac21187d6bbbe1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fdb4fd97be425c2b6be6cd233cdd234a30c0a0f415aca276a813a53388d71214
3
+ size 655814829
openpi_r200/params/ocdbt.process_0/d/61b80b20bd17d48303f62f16917a6f73 ADDED
Binary file (44.8 kB). View file
 
openpi_r200/params/ocdbt.process_0/d/85bdf70640027ccc3a4a984ad8785e81 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:56e0b5ba909016f4680c52d0c5d70a69f32edde5e6ad9f75572872e61d1107de
3
+ size 2423509
openpi_r200/params/ocdbt.process_0/d/8a6839e8dc48698a3c4394f00521f085 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1acb26c0b470506fb6dafa133b01bc13b2e607bb164846ac19a7d5ec68a6eaf6
3
+ size 56205224
openpi_r200/params/ocdbt.process_0/d/ad3ca5b23d85c62a047dcc4d752cfde2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc14d2f1e74f8d9dd925ef964d07f48bd409a04dccab0027995794a80ed6654a
3
+ size 29580578
openpi_r200/params/ocdbt.process_0/d/c19f6fae11512f078f892abd96e238e1 ADDED
Binary file (253 Bytes). View file
 
openpi_r200/params/ocdbt.process_0/d/d44b4ea7502af370e3b76e6080616a44 ADDED
Binary file (2.01 kB). View file
 
openpi_r200/params/ocdbt.process_0/d/e3046b907adb7ec10247afb01455093c ADDED
Binary file (1.05 kB). View file
 
openpi_r200/params/ocdbt.process_0/d/e600e294c274f1dea52c4cc828616b33 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8fbe9a045de77da051af00b4430123dc7e71de575e093d2b231fd96d70068fdf
3
+ size 2834930153
openpi_r200/params/ocdbt.process_0/d/f741773c773ca277345983e9e4334f49 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ac5bb1b53fae77ff4a1876925f0a18225cb8385287892f6fd100c9cab30dda70
3
+ size 3393014
openpi_r200/params/ocdbt.process_0/manifest.ocdbt ADDED
Binary file (696 Bytes). View file
 
openpi_r320/assets/droid/norm_stats.json ADDED
@@ -0,0 +1,280 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "norm_stats": {
3
+ "actions": {
4
+ "mean": [
5
+ -0.00027342053053236253,
6
+ 0.023949940105734892,
7
+ -0.00033086975858670297,
8
+ 0.017810685682994,
9
+ -0.0008023261255722413,
10
+ 0.010552860505599166,
11
+ 0.003607112609249804,
12
+ 0.45140399925478786,
13
+ 0.0,
14
+ 0.0,
15
+ 0.0,
16
+ 0.0,
17
+ 0.0,
18
+ 0.0,
19
+ 0.0,
20
+ 0.0,
21
+ 0.0,
22
+ 0.0,
23
+ 0.0,
24
+ 0.0,
25
+ 0.0,
26
+ 0.0,
27
+ 0.0,
28
+ 0.0,
29
+ 0.0,
30
+ 0.0,
31
+ 0.0,
32
+ 0.0,
33
+ 0.0,
34
+ 0.0,
35
+ 0.0,
36
+ 0.0
37
+ ],
38
+ "std": [
39
+ 0.09441919822676702,
40
+ 0.17465855057556465,
41
+ 0.09332283253577026,
42
+ 0.15727956049919428,
43
+ 0.14616913317876243,
44
+ 0.1569894686239755,
45
+ 0.17109934755856457,
46
+ 0.4413864921810166,
47
+ 0.0,
48
+ 0.0,
49
+ 0.0,
50
+ 0.0,
51
+ 0.0,
52
+ 0.0,
53
+ 0.0,
54
+ 0.0,
55
+ 0.0,
56
+ 0.0,
57
+ 0.0,
58
+ 0.0,
59
+ 0.0,
60
+ 0.0,
61
+ 0.0,
62
+ 0.0,
63
+ 0.0,
64
+ 0.0,
65
+ 0.0,
66
+ 0.0,
67
+ 0.0,
68
+ 0.0,
69
+ 0.0,
70
+ 0.0
71
+ ],
72
+ "q01": [
73
+ -0.286920549198985,
74
+ -0.45945453632473954,
75
+ -0.28571800187826146,
76
+ -0.4745183891296386,
77
+ -0.46606264920234675,
78
+ -0.4415983498573304,
79
+ -0.5321806037783623,
80
+ 0.0,
81
+ 0.0,
82
+ 0.0,
83
+ 0.0,
84
+ 0.0,
85
+ 0.0,
86
+ 0.0,
87
+ 0.0,
88
+ 0.0,
89
+ 0.0,
90
+ 0.0,
91
+ 0.0,
92
+ 0.0,
93
+ 0.0,
94
+ 0.0,
95
+ 0.0,
96
+ 0.0,
97
+ 0.0,
98
+ 0.0,
99
+ 0.0,
100
+ 0.0,
101
+ 0.0,
102
+ 0.0,
103
+ 0.0,
104
+ 0.0
105
+ ],
106
+ "q99": [
107
+ 0.28556161552667625,
108
+ 0.5270082930922506,
109
+ 0.2831991063714028,
110
+ 0.47013598365783693,
111
+ 0.45336947935819616,
112
+ 0.5001207852363585,
113
+ 0.5320044534891843,
114
+ 0.9998,
115
+ 0.0,
116
+ 0.0,
117
+ 0.0,
118
+ 0.0,
119
+ 0.0,
120
+ 0.0,
121
+ 0.0,
122
+ 0.0,
123
+ 0.0,
124
+ 0.0,
125
+ 0.0,
126
+ 0.0,
127
+ 0.0,
128
+ 0.0,
129
+ 0.0,
130
+ 0.0,
131
+ 0.0,
132
+ 0.0,
133
+ 0.0,
134
+ 0.0,
135
+ 0.0,
136
+ 0.0,
137
+ 0.0,
138
+ 0.0
139
+ ]
140
+ },
141
+ "state": {
142
+ "mean": [
143
+ 0.016237762316468146,
144
+ 0.26715409834621,
145
+ -0.016710053356134087,
146
+ -2.0255712993077326,
147
+ -0.03266582860490208,
148
+ 2.344549184149644,
149
+ 0.08269685385513066,
150
+ 0.3997888614549533,
151
+ 0.0,
152
+ 0.0,
153
+ 0.0,
154
+ 0.0,
155
+ 0.0,
156
+ 0.0,
157
+ 0.0,
158
+ 0.0,
159
+ 0.0,
160
+ 0.0,
161
+ 0.0,
162
+ 0.0,
163
+ 0.0,
164
+ 0.0,
165
+ 0.0,
166
+ 0.0,
167
+ 0.0,
168
+ 0.0,
169
+ 0.0,
170
+ 0.0,
171
+ 0.0,
172
+ 0.0,
173
+ 0.0,
174
+ 0.0
175
+ ],
176
+ "std": [
177
+ 0.30769924638771073,
178
+ 0.48216030004631877,
179
+ 0.26944263961875825,
180
+ 0.48189821046318276,
181
+ 0.5374187843900121,
182
+ 0.45384659499775365,
183
+ 0.7474676080830999,
184
+ 0.40705741517596306,
185
+ 0.0,
186
+ 0.0,
187
+ 0.0,
188
+ 0.0,
189
+ 0.0,
190
+ 0.0,
191
+ 0.0,
192
+ 0.0,
193
+ 0.0,
194
+ 0.0,
195
+ 0.0,
196
+ 0.0,
197
+ 0.0,
198
+ 0.0,
199
+ 0.0,
200
+ 0.0,
201
+ 0.0,
202
+ 0.0,
203
+ 0.0,
204
+ 0.0,
205
+ 0.0,
206
+ 0.0,
207
+ 0.0,
208
+ 0.0
209
+ ],
210
+ "q01": [
211
+ -0.8279732212066653,
212
+ -0.8398311847686768,
213
+ -0.8425482082366944,
214
+ -2.773015278291702,
215
+ -1.8426181347846986,
216
+ 1.1716566389799117,
217
+ -2.047264838027954,
218
+ 0.0,
219
+ 0.0,
220
+ 0.0,
221
+ 0.0,
222
+ 0.0,
223
+ 0.0,
224
+ 0.0,
225
+ 0.0,
226
+ 0.0,
227
+ 0.0,
228
+ 0.0,
229
+ 0.0,
230
+ 0.0,
231
+ 0.0,
232
+ 0.0,
233
+ 0.0,
234
+ 0.0,
235
+ 0.0,
236
+ 0.0,
237
+ 0.0,
238
+ 0.0,
239
+ 0.0,
240
+ 0.0,
241
+ 0.0,
242
+ 0.0
243
+ ],
244
+ "q99": [
245
+ 0.8996522880554196,
246
+ 1.385467470359802,
247
+ 0.6920277433395388,
248
+ -0.4542043057203293,
249
+ 1.732314240932464,
250
+ 3.4672964780330657,
251
+ 2.1984972072601314,
252
+ 0.991,
253
+ 0.0,
254
+ 0.0,
255
+ 0.0,
256
+ 0.0,
257
+ 0.0,
258
+ 0.0,
259
+ 0.0,
260
+ 0.0,
261
+ 0.0,
262
+ 0.0,
263
+ 0.0,
264
+ 0.0,
265
+ 0.0,
266
+ 0.0,
267
+ 0.0,
268
+ 0.0,
269
+ 0.0,
270
+ 0.0,
271
+ 0.0,
272
+ 0.0,
273
+ 0.0,
274
+ 0.0,
275
+ 0.0,
276
+ 0.0
277
+ ]
278
+ }
279
+ }
280
+ }
openpi_r320/export_info.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "source_checkpoint": "outputs/openpi_pi05_droidfull8_cent_local/checkpoints/server_round_0320.pt",
3
+ "round": 319,
4
+ "weights": "ema",
5
+ "tensors_from_checkpoint": 51,
6
+ "tensors_total": 51,
7
+ "base": "gs://openpi-assets/checkpoints/pi05_base/params",
8
+ "dtype": "bfloat16",
9
+ "norm_stats": "/data/gaoliu/droidfull8/openpi-cache/openpi-assets/checkpoints/pi05_droid_jointpos/assets/droid/norm_stats.json",
10
+ "asset_id": "droid",
11
+ "openpi_config": "pi05_droid_jointpos",
12
+ "serve": "uv run scripts/serve_policy.py policy:checkpoint --policy.config=pi05_droid_jointpos --policy.dir=/data/gaoliu/droidfull8/upload_cent/openpi_r320"
13
+ }
openpi_r320/params/_CHECKPOINT_METADATA ADDED
@@ -0,0 +1 @@
 
 
1
+ {"item_handlers": "orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler", "metrics": {}, "performance_metrics": {}, "init_timestamp_nsecs": 1793745441351665541, "commit_timestamp_nsecs": 1793745443988678881, "custom_metadata": {}}