Upload unzipped folder cosmos_predict_v2p5_robocasa365 to cosmos_predict_2.5/
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +7 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000001000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000002000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000003000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000004000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000005000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000006000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000007000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000008000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000009000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000010000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000011000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000012000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000013000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000001000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000002000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000003000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000004000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000005000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000006000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000007000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000008000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000009000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000010000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000011000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000012000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000013000_resize.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/model.pt +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/model/.metadata +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/model/__0_0.distcp +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/model_ema_bf16.pt +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/model_ema_fp32.pt +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/optim/.metadata +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/optim/__0_0.distcp +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/scheduler/.metadata +0 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/scheduler/__0_0.distcp +0 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/trainer/.metadata +0 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/trainer/__0_0.distcp +0 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/latest_checkpoint.txt +1 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/config.pkl +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/config.yaml +810 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/console.log +1074 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/debug.log +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/job_env.yaml +10 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/launch_info.yaml +6 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/wandb/debug.log +6 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/wandb/run-20260403_045515-89aris5o/files/media/images/EveryNDrawSample/ema_video_sample_1000_3271a2c085b72f035c87.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/wandb/run-20260403_045515-89aris5o/files/media/images/EveryNDrawSample/ema_video_sample_2000_dbb7411018820d3a17a0.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/wandb/run-20260403_045515-89aris5o/files/media/images/EveryNDrawSample/ema_video_sample_3000_b68ec36a3837bfea3c77.jpg +3 -0
- cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/wandb/run-20260403_045515-89aris5o/files/media/images/EveryNDrawSample/ema_video_sample_4000_0834065a925e6693b22c.jpg +3 -0
.gitattributes
CHANGED
|
@@ -77,3 +77,10 @@ cosmos_predict_2.5/cosmos_predict_v2p5/video2world/2b_groot_gr1_480/checkpoints/
|
|
| 77 |
cosmos_predict_2.5/cosmos_predict_v2p5/video2world/2b_groot_gr1_480/checkpoints/iter_000010000/optim/__6_0.distcp filter=lfs diff=lfs merge=lfs -text
|
| 78 |
cosmos_predict_2.5/cosmos_predict_v2p5/video2world/2b_groot_gr1_480/checkpoints/iter_000010000/optim/__7_0.distcp filter=lfs diff=lfs merge=lfs -text
|
| 79 |
cosmos_predict_2.5/cosmos_predict_v2p5/video2world/2b_groot_gr1_480/wandb/run-20260410_021419-usgv3926/run-usgv3926.wandb filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 77 |
cosmos_predict_2.5/cosmos_predict_v2p5/video2world/2b_groot_gr1_480/checkpoints/iter_000010000/optim/__6_0.distcp filter=lfs diff=lfs merge=lfs -text
|
| 78 |
cosmos_predict_2.5/cosmos_predict_v2p5/video2world/2b_groot_gr1_480/checkpoints/iter_000010000/optim/__7_0.distcp filter=lfs diff=lfs merge=lfs -text
|
| 79 |
cosmos_predict_2.5/cosmos_predict_v2p5/video2world/2b_groot_gr1_480/wandb/run-20260410_021419-usgv3926/run-usgv3926.wandb filter=lfs diff=lfs merge=lfs -text
|
| 80 |
+
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/model/.metadata filter=lfs diff=lfs merge=lfs -text
|
| 81 |
+
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/model/__0_0.distcp filter=lfs diff=lfs merge=lfs -text
|
| 82 |
+
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/optim/.metadata filter=lfs diff=lfs merge=lfs -text
|
| 83 |
+
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/optim/__0_0.distcp filter=lfs diff=lfs merge=lfs -text
|
| 84 |
+
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/debug.log filter=lfs diff=lfs merge=lfs -text
|
| 85 |
+
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/wandb/run-20260403_045515-89aris5o/run-89aris5o.wandb filter=lfs diff=lfs merge=lfs -text
|
| 86 |
+
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/wandb/run-20260405_110201-89aris5o/run-89aris5o.wandb filter=lfs diff=lfs merge=lfs -text
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000001000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000002000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000003000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000004000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000005000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000006000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000007000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000008000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000009000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000010000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000011000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000012000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/ema_ReplicateID0000_Sample_Iter000013000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000001000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000002000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000003000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000004000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000005000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000006000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000007000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000008000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000009000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000010000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000011000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000012000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/EveryNDrawSample/reg_ReplicateID0000_Sample_Iter000013000_resize.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f1e74a950a8af2f41e1914a00954fbedc915df6e11d1b223819aca7d84fee043
|
| 3 |
+
size 12355463001
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/model/.metadata
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3b3656d182ce04eedfeb93e1a948fbdd7284ef27fe7160a94713c8d17872a1f6
|
| 3 |
+
size 378908
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/model/__0_0.distcp
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:048664fffc3bc4f79953b16a18966016c26f7be9f5a9a5ac142f6a7e4520dae9
|
| 3 |
+
size 12357223474
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/model_ema_bf16.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8340118f6c699fd03fe6853f41cabe3d9167f69c7244a9cf4400a02496d3fbe1
|
| 3 |
+
size 4118575006
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/model_ema_fp32.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:15bbd1cacd3838c4587c56f15a0d054c4028c720851ab6fd662c61909b104381
|
| 3 |
+
size 8236928966
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/optim/.metadata
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fdeebdae276c39bb66ba1d7621a640a94b30fa385f9aa6c59450d602e0dd3316
|
| 3 |
+
size 1972440
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/optim/__0_0.distcp
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:953db7bed171df8f5247b58d45de021690c4cba00cf2d8298bd3f62c5eb49bef
|
| 3 |
+
size 8248074527
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/scheduler/.metadata
ADDED
|
Binary file (1.03 kB). View file
|
|
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/scheduler/__0_0.distcp
ADDED
|
Binary file (6.43 kB). View file
|
|
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/trainer/.metadata
ADDED
|
Binary file (697 Bytes). View file
|
|
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/iter_000014000/trainer/__0_0.distcp
ADDED
|
Binary file (1.26 kB). View file
|
|
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/checkpoints/latest_checkpoint.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
iter_000014000
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/config.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fcbd696f4570e11ddb1ad03060550f5a9b50fd2f68bc48c93ad9dccb4bc0ce07
|
| 3 |
+
size 122147
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/config.yaml
ADDED
|
@@ -0,0 +1,810 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
checkpoint:
|
| 2 |
+
broadcast_via_filesystem: 'False'
|
| 3 |
+
dcp_async_mode_enabled: 'False'
|
| 4 |
+
enable_gcs_patch_in_boto3: 'False'
|
| 5 |
+
jit:
|
| 6 |
+
device: cuda
|
| 7 |
+
dtype: bfloat16
|
| 8 |
+
enabled: 'False'
|
| 9 |
+
input_shape: null
|
| 10 |
+
strict: 'True'
|
| 11 |
+
keys_not_to_resume: []
|
| 12 |
+
keys_to_skip_loading: []
|
| 13 |
+
load_ema_to_reg: 'False'
|
| 14 |
+
load_from_object_store:
|
| 15 |
+
bucket: bucket
|
| 16 |
+
credentials: credentials/s3_checkpoint.secret
|
| 17 |
+
enabled: 'False'
|
| 18 |
+
load_path: s3://bucket/cosmos_diffusion_v2/official_runs_vid2vid/Stage-c_pt_4-reason_embeddings-v1p1-Index-26-Size-2B-Res-720-Fps-16-Note-T2V_high_sigma_loss_reweighted_1_1_rectified_flow_only_resume2/checkpoints/iter_000023000
|
| 19 |
+
load_training_state: 'False'
|
| 20 |
+
only_load_scheduler_state: 'False'
|
| 21 |
+
save_iter: '1000'
|
| 22 |
+
save_to_object_store:
|
| 23 |
+
bucket: bucket
|
| 24 |
+
credentials: credentials/s3_checkpoint.secret
|
| 25 |
+
enabled: 'False'
|
| 26 |
+
strict_resume: 'True'
|
| 27 |
+
type:
|
| 28 |
+
_target_: <class 'cosmos_predict2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
|
| 29 |
+
callbacks: null
|
| 30 |
+
disable_async: 'False'
|
| 31 |
+
verbose: 'True'
|
| 32 |
+
dataloader_train:
|
| 33 |
+
_target_: <function get_generic_dataloader at 0x7feec33127a0>
|
| 34 |
+
batch_size: '1'
|
| 35 |
+
collate_fn: null
|
| 36 |
+
dataloaders:
|
| 37 |
+
image_data:
|
| 38 |
+
dataloader:
|
| 39 |
+
_target_: <function get_cached_replay_dataloader at 0x7feecbf89990>
|
| 40 |
+
batch_size: '12'
|
| 41 |
+
cache_augment_fn: functools.partial(<function duplicate_batches at 0x7feecbf88ca0>,
|
| 42 |
+
n=1)
|
| 43 |
+
cache_replay_name: image_dataloader
|
| 44 |
+
cache_size: '8'
|
| 45 |
+
concat_size: '1'
|
| 46 |
+
dataset:
|
| 47 |
+
_target_: <function get_image_dataset at 0x7feecbf89b40>
|
| 48 |
+
augmentor_name: image_basic_augmentor_without_embeddings
|
| 49 |
+
caption_type: qwen2p5_7b_v4
|
| 50 |
+
dataset_resolution_type: gt720p
|
| 51 |
+
embedding_type: null
|
| 52 |
+
len_t5: '512'
|
| 53 |
+
resolution: '720'
|
| 54 |
+
t5_dim: '1024'
|
| 55 |
+
num_workers: '6'
|
| 56 |
+
pin_memory: 'True'
|
| 57 |
+
shuffle: 'False'
|
| 58 |
+
use_cache: 'False'
|
| 59 |
+
webdataset: 'False'
|
| 60 |
+
ratio: '1'
|
| 61 |
+
video_data:
|
| 62 |
+
dataloader:
|
| 63 |
+
_target_: <function get_cached_replay_dataloader at 0x7feecbf89990>
|
| 64 |
+
batch_size: '1'
|
| 65 |
+
cache_augment_fn: functools.partial(<function duplicate_batches_random at
|
| 66 |
+
0x7feecbf89360>, n=1.8)
|
| 67 |
+
cache_replay_name: video_dataloader
|
| 68 |
+
cache_size: '16'
|
| 69 |
+
concat_size: '1'
|
| 70 |
+
dataset:
|
| 71 |
+
_target_: <function get_video_dataset at 0x7feecbf8a3b0>
|
| 72 |
+
augmentor_name: video_basic_augmentor_v2
|
| 73 |
+
caption_type: t2w_qwen2p5_7b
|
| 74 |
+
dataset_resolution_type: all
|
| 75 |
+
embedding_type: null
|
| 76 |
+
len_t5: '512'
|
| 77 |
+
max_fps_thres: '60'
|
| 78 |
+
min_fps_thres: '10'
|
| 79 |
+
num_video_frames: '93'
|
| 80 |
+
resolution: '720'
|
| 81 |
+
t5_dim: '1024'
|
| 82 |
+
use_native_fps: 'True'
|
| 83 |
+
video_decoder_name: video_naive_bytes
|
| 84 |
+
num_workers: '8'
|
| 85 |
+
pin_memory: 'True'
|
| 86 |
+
shuffle: 'False'
|
| 87 |
+
use_cache: 'False'
|
| 88 |
+
webdataset: 'False'
|
| 89 |
+
ratio: '3'
|
| 90 |
+
dataset:
|
| 91 |
+
_target_: <class 'cosmos_predict2._src.predict2.datasets.local_datasets.dataset_video.VideoDataset'>
|
| 92 |
+
caption_format: auto
|
| 93 |
+
dataset_dir: datasets/robocasa365
|
| 94 |
+
num_frames: '93'
|
| 95 |
+
prompt_type: null
|
| 96 |
+
video_paths: null
|
| 97 |
+
video_size:
|
| 98 |
+
- '432'
|
| 99 |
+
- '768'
|
| 100 |
+
drop_last: 'True'
|
| 101 |
+
num_workers: '4'
|
| 102 |
+
persistent_workers: 'False'
|
| 103 |
+
pin_memory: 'True'
|
| 104 |
+
prefetch_factor: null
|
| 105 |
+
sampler:
|
| 106 |
+
_target_: <function get_sampler at 0x7feec1714310>
|
| 107 |
+
dataset:
|
| 108 |
+
_target_: <class 'cosmos_predict2._src.predict2.datasets.local_datasets.dataset_video.VideoDataset'>
|
| 109 |
+
caption_format: auto
|
| 110 |
+
dataset_dir: datasets/robocasa365
|
| 111 |
+
num_frames: '93'
|
| 112 |
+
prompt_type: null
|
| 113 |
+
video_paths: null
|
| 114 |
+
video_size:
|
| 115 |
+
- '432'
|
| 116 |
+
- '768'
|
| 117 |
+
dataloader_val:
|
| 118 |
+
_target_: <class 'cosmos_predict2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
|
| 119 |
+
dataloaders:
|
| 120 |
+
image_data:
|
| 121 |
+
dataloader:
|
| 122 |
+
_target_: <function get_cached_replay_dataloader at 0x7feecbf89990>
|
| 123 |
+
batch_size: '2'
|
| 124 |
+
cache_augment_fn: null
|
| 125 |
+
cache_replay_name: image_dataloader
|
| 126 |
+
cache_size: '32'
|
| 127 |
+
concat_size: '1'
|
| 128 |
+
dataset:
|
| 129 |
+
_target_: <function get_image_dataset at 0x7feecbf89b40>
|
| 130 |
+
len_t5: '512'
|
| 131 |
+
resolution: '512'
|
| 132 |
+
t5_dim: '1024'
|
| 133 |
+
num_workers: '8'
|
| 134 |
+
pin_memory: 'True'
|
| 135 |
+
shuffle: 'False'
|
| 136 |
+
use_cache: 'False'
|
| 137 |
+
webdataset: 'False'
|
| 138 |
+
ratio: '1'
|
| 139 |
+
video_data:
|
| 140 |
+
dataloader:
|
| 141 |
+
_target_: <function get_cached_replay_dataloader at 0x7feecbf89990>
|
| 142 |
+
batch_size: '1'
|
| 143 |
+
cache_augment_fn: null
|
| 144 |
+
cache_replay_name: video_dataloader
|
| 145 |
+
cache_size: '32'
|
| 146 |
+
concat_size: '1'
|
| 147 |
+
dataset:
|
| 148 |
+
_target_: <function get_video_dataset at 0x7feecbf8a3b0>
|
| 149 |
+
len_t5: '512'
|
| 150 |
+
num_video_frames: '136'
|
| 151 |
+
resolution: '512'
|
| 152 |
+
t5_dim: '1024'
|
| 153 |
+
num_workers: '8'
|
| 154 |
+
pin_memory: 'True'
|
| 155 |
+
shuffle: 'False'
|
| 156 |
+
use_cache: 'False'
|
| 157 |
+
webdataset: 'False'
|
| 158 |
+
ratio: '1'
|
| 159 |
+
defaults:
|
| 160 |
+
- _self_
|
| 161 |
+
- data_train: mock
|
| 162 |
+
- data_val: mock
|
| 163 |
+
- optimizer: fusedadamw
|
| 164 |
+
- scheduler: lambdalinear
|
| 165 |
+
- model: ddp
|
| 166 |
+
- callbacks: basic
|
| 167 |
+
- net: null
|
| 168 |
+
- conditioner: video_prediction_conditioner
|
| 169 |
+
- ema: power
|
| 170 |
+
- tokenizer: cosmos_tokenizer_causal_cv8x8x8_c16_res720_t121_it121_v1_0
|
| 171 |
+
- checkpoint: s3
|
| 172 |
+
- ckpt_type: dummy
|
| 173 |
+
- experiment: null
|
| 174 |
+
job:
|
| 175 |
+
cluster: null
|
| 176 |
+
group: video2world
|
| 177 |
+
name: 2b_groot_gr1_480
|
| 178 |
+
project: cosmos_predict_v2p5
|
| 179 |
+
wandb_mode: online
|
| 180 |
+
model:
|
| 181 |
+
_recursive_: 'False'
|
| 182 |
+
_target_: <class 'cosmos_predict2._src.predict2.models.video2world_model_rectified_flow.Video2WorldModelRectifiedFlow'>
|
| 183 |
+
config:
|
| 184 |
+
conditional_frame_timestep: -1.0
|
| 185 |
+
conditional_frames_probs:
|
| 186 |
+
0: 0.5
|
| 187 |
+
1: 0.25
|
| 188 |
+
2: 0.25
|
| 189 |
+
conditioner:
|
| 190 |
+
_target_: <class 'cosmos_predict2._src.predict2.configs.video2world.defaults.conditioner.Video2WorldConditioner'>
|
| 191 |
+
fps:
|
| 192 |
+
_target_: <class 'cosmos_predict2._src.predict2.conditioner.ReMapkey'>
|
| 193 |
+
dropout_rate: '0.0'
|
| 194 |
+
dtype: null
|
| 195 |
+
input_key: fps
|
| 196 |
+
output_key: fps
|
| 197 |
+
padding_mask:
|
| 198 |
+
_target_: <class 'cosmos_predict2._src.predict2.conditioner.ReMapkey'>
|
| 199 |
+
dropout_rate: '0.0'
|
| 200 |
+
dtype: null
|
| 201 |
+
input_key: padding_mask
|
| 202 |
+
output_key: padding_mask
|
| 203 |
+
text:
|
| 204 |
+
_target_: <class 'cosmos_predict2._src.predict2.conditioner.TextAttr'>
|
| 205 |
+
credential_path: credentials/s3_training.secret
|
| 206 |
+
dropout_rate: '0.2'
|
| 207 |
+
empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
|
| 208 |
+
input_key:
|
| 209 |
+
- t5_text_embeddings
|
| 210 |
+
use_empty_string: 'False'
|
| 211 |
+
use_video_condition:
|
| 212 |
+
_target_: <class 'cosmos_predict2._src.predict2.conditioner.BooleanFlag'>
|
| 213 |
+
dropout_rate: '0.0'
|
| 214 |
+
input_key: fps
|
| 215 |
+
output_key: use_video_condition
|
| 216 |
+
conditioning_strategy: frame_replace
|
| 217 |
+
denoise_replace_gt_frames: true
|
| 218 |
+
ema:
|
| 219 |
+
enabled: true
|
| 220 |
+
iteration_shift: 0
|
| 221 |
+
rate: 0.1
|
| 222 |
+
fsdp_shard_size: 8
|
| 223 |
+
high_sigma_ratio: 0.05
|
| 224 |
+
high_sigma_timesteps_max: 1000
|
| 225 |
+
high_sigma_timesteps_min: 980
|
| 226 |
+
init_lora_weights: true
|
| 227 |
+
input_caption_key: ai_caption
|
| 228 |
+
input_data_key: video
|
| 229 |
+
input_image_key: images
|
| 230 |
+
lora_alpha: 32
|
| 231 |
+
lora_rank: 32
|
| 232 |
+
lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
|
| 233 |
+
max_num_conditional_frames: 2
|
| 234 |
+
min_num_conditional_frames: 0
|
| 235 |
+
net:
|
| 236 |
+
_target_: <class 'cosmos_predict2._src.predict2.networks.minimal_v1_lvg_dit.MinimalV1LVGDiT'>
|
| 237 |
+
adaln_lora_dim: '256'
|
| 238 |
+
atten_backend: minimal_a2a
|
| 239 |
+
concat_padding_mask: 'True'
|
| 240 |
+
crossattn_emb_channels: '1024'
|
| 241 |
+
crossattn_proj_in_channels: '100352'
|
| 242 |
+
extra_per_block_abs_pos_emb: 'False'
|
| 243 |
+
in_channels: '16'
|
| 244 |
+
max_frames: '128'
|
| 245 |
+
max_img_h: '240'
|
| 246 |
+
max_img_w: '240'
|
| 247 |
+
model_channels: '2048'
|
| 248 |
+
num_blocks: '28'
|
| 249 |
+
num_heads: '16'
|
| 250 |
+
out_channels: '16'
|
| 251 |
+
patch_spatial: '2'
|
| 252 |
+
patch_temporal: '1'
|
| 253 |
+
pos_emb_cls: rope3d
|
| 254 |
+
pos_emb_interpolation: crop
|
| 255 |
+
pos_emb_learnable: 'True'
|
| 256 |
+
rope_enable_fps_modulation: 'False'
|
| 257 |
+
rope_h_extrapolation_ratio: '3.0'
|
| 258 |
+
rope_t_extrapolation_ratio: '1.0'
|
| 259 |
+
rope_w_extrapolation_ratio: '3.0'
|
| 260 |
+
sac_config:
|
| 261 |
+
every_n_blocks: 1
|
| 262 |
+
mode: predict2_2b_720_aggressive
|
| 263 |
+
timestep_scale: '0.001'
|
| 264 |
+
use_adaln_lora: 'True'
|
| 265 |
+
use_crossattn_projection: 'True'
|
| 266 |
+
use_wan_fp32_strategy: 'True'
|
| 267 |
+
precision: bfloat16
|
| 268 |
+
resolution: '720'
|
| 269 |
+
shift: 5
|
| 270 |
+
state_ch: 16
|
| 271 |
+
state_t: 24
|
| 272 |
+
text_encoder_class: reason1p1_7B
|
| 273 |
+
text_encoder_config:
|
| 274 |
+
ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
|
| 275 |
+
compute_online: true
|
| 276 |
+
embedding_concat_strategy: full_concat
|
| 277 |
+
model_config:
|
| 278 |
+
_target_: <class 'cosmos_predict2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
|
| 279 |
+
model_config:
|
| 280 |
+
_target_: cosmos_predict2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
|
| 281 |
+
activation_checkpoint:
|
| 282 |
+
mode: selective
|
| 283 |
+
models: vlm
|
| 284 |
+
selective_ac_option: op
|
| 285 |
+
add_answer_tag: 'True'
|
| 286 |
+
add_cross_attention: 'False'
|
| 287 |
+
add_image_start_end_tag: 'False'
|
| 288 |
+
add_tile_tag: 'False'
|
| 289 |
+
architectures:
|
| 290 |
+
- Qwen2_5_VLForConditionalGeneration
|
| 291 |
+
attention_dropout: '0.0'
|
| 292 |
+
attn_implementation: flash_attention_2
|
| 293 |
+
attn_implementation_autoset: 'True'
|
| 294 |
+
aux_loss_coeff: '0.0'
|
| 295 |
+
bad_words_ids: null
|
| 296 |
+
begin_suppress_tokens: null
|
| 297 |
+
bos_token_id: '151643'
|
| 298 |
+
cache_dir: null
|
| 299 |
+
checkpoint:
|
| 300 |
+
async_mode: disabled
|
| 301 |
+
create_seed_checkpoint: false
|
| 302 |
+
enable_checkpoint: false
|
| 303 |
+
export_dtype: float32
|
| 304 |
+
folder: checkpoint
|
| 305 |
+
interval: 500
|
| 306 |
+
interval_type: steps
|
| 307 |
+
model_weights_only: false
|
| 308 |
+
chunk_size_feed_forward: '0'
|
| 309 |
+
ckpt_dir: null
|
| 310 |
+
ckpt_path: null
|
| 311 |
+
comm:
|
| 312 |
+
init_timeout_seconds: 300
|
| 313 |
+
trace_buf_size: 20000
|
| 314 |
+
train_timeout_seconds: 100
|
| 315 |
+
cp_size: null
|
| 316 |
+
cross_attention_hidden_size: null
|
| 317 |
+
decoder_start_token_id: null
|
| 318 |
+
deterministic: 'False'
|
| 319 |
+
diversity_penalty: '0.0'
|
| 320 |
+
do_sample: 'False'
|
| 321 |
+
early_stopping: 'False'
|
| 322 |
+
encoder_no_repeat_ngram_size: '0'
|
| 323 |
+
eos_token_id: '151645'
|
| 324 |
+
ep_size: null
|
| 325 |
+
experimental:
|
| 326 |
+
enable_async_tensor_parallel: false
|
| 327 |
+
enable_compiled_autograd: false
|
| 328 |
+
pipeline_parallel_degree: 1
|
| 329 |
+
exponential_decay_length_penalty: null
|
| 330 |
+
finetuning_task: null
|
| 331 |
+
float8:
|
| 332 |
+
enable_float8_linear: false
|
| 333 |
+
forced_bos_token_id: null
|
| 334 |
+
forced_eos_token_id: null
|
| 335 |
+
freeze_llm: 'False'
|
| 336 |
+
freeze_mm_projector: 'False'
|
| 337 |
+
freeze_vision_encoder: 'False'
|
| 338 |
+
fsdp_enabled: 'False'
|
| 339 |
+
hidden_act: silu
|
| 340 |
+
hidden_size: '3584'
|
| 341 |
+
id2label:
|
| 342 |
+
0: LABEL_0
|
| 343 |
+
1: LABEL_1
|
| 344 |
+
image_token_id: '151655'
|
| 345 |
+
initializer_range: '0.02'
|
| 346 |
+
intermediate_size: '18944'
|
| 347 |
+
is_decoder: 'False'
|
| 348 |
+
is_encoder_decoder: 'False'
|
| 349 |
+
label2id:
|
| 350 |
+
LABEL_0: '0'
|
| 351 |
+
LABEL_1: '1'
|
| 352 |
+
length_penalty: '1.0'
|
| 353 |
+
loss_per_token: 'True'
|
| 354 |
+
max_batch_size: '1'
|
| 355 |
+
max_length: '20'
|
| 356 |
+
max_position_embeddings: '128000'
|
| 357 |
+
max_seq_len: '128000'
|
| 358 |
+
max_window_layers: '28'
|
| 359 |
+
min_length: '0'
|
| 360 |
+
mm_projector: null
|
| 361 |
+
model_type: qwen2_5_vl
|
| 362 |
+
name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
|
| 363 |
+
no_repeat_ngram_size: '0'
|
| 364 |
+
num_attention_heads: '28'
|
| 365 |
+
num_beam_groups: '1'
|
| 366 |
+
num_beams: '1'
|
| 367 |
+
num_hidden_layers: '28'
|
| 368 |
+
num_key_value_heads: '4'
|
| 369 |
+
num_return_sequences: '1'
|
| 370 |
+
num_tiles: '1'
|
| 371 |
+
optimizer:
|
| 372 |
+
early_step_in_backward: false
|
| 373 |
+
end_lr: 2.5e-05
|
| 374 |
+
fused: false
|
| 375 |
+
init_lr: 1.0e-05
|
| 376 |
+
lr: 0.0003
|
| 377 |
+
lr_multiplier_llm: 1.0
|
| 378 |
+
lr_multiplier_mm_projector: 1.0
|
| 379 |
+
lr_multiplier_vision_encoder: 0.1
|
| 380 |
+
name: AdamW
|
| 381 |
+
output_attentions: 'False'
|
| 382 |
+
output_hidden_states: 'True'
|
| 383 |
+
output_scores: 'False'
|
| 384 |
+
pad_token_id: null
|
| 385 |
+
precision: bfloat16
|
| 386 |
+
prefix: null
|
| 387 |
+
prepend_padding: 'False'
|
| 388 |
+
problem_type: null
|
| 389 |
+
pruned_heads: _Nothing.NOTHING
|
| 390 |
+
remove_invalid_values: 'False'
|
| 391 |
+
repetition_penalty: '1.0'
|
| 392 |
+
return_dict: 'True'
|
| 393 |
+
return_dict_in_generate: 'False'
|
| 394 |
+
rms_norm_eps: 1e-06
|
| 395 |
+
rope_scaling:
|
| 396 |
+
mrope_section:
|
| 397 |
+
- '16'
|
| 398 |
+
- '24'
|
| 399 |
+
- '24'
|
| 400 |
+
rope_type: default
|
| 401 |
+
type: default
|
| 402 |
+
rope_theta: '1000000.0'
|
| 403 |
+
s3_credential_path: credentials/pbss_dir.secret
|
| 404 |
+
seed: '0'
|
| 405 |
+
sep_token_id: null
|
| 406 |
+
sliding_window: '32768'
|
| 407 |
+
suppress_tokens: null
|
| 408 |
+
task_specific_params: null
|
| 409 |
+
temperature: '1.0'
|
| 410 |
+
tf_legacy_loss: 'False'
|
| 411 |
+
tie_encoder_decoder: 'False'
|
| 412 |
+
tie_word_embeddings: 'False'
|
| 413 |
+
tile_tag_type: space_separated
|
| 414 |
+
tokenizer_class: null
|
| 415 |
+
tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
|
| 416 |
+
top_k: '50'
|
| 417 |
+
top_p: '1.0'
|
| 418 |
+
torch_dtype: bfloat16
|
| 419 |
+
torchscript: 'False'
|
| 420 |
+
training:
|
| 421 |
+
compile: false
|
| 422 |
+
context_parallel_degree: 1
|
| 423 |
+
data_parallel_replicate_degree: 1
|
| 424 |
+
data_parallel_shard_degree: -1
|
| 425 |
+
disable_loss_parallel: false
|
| 426 |
+
enable_cpu_offload: false
|
| 427 |
+
fsdp_reshard_after_forward: default
|
| 428 |
+
mixed_precision_param: bfloat16
|
| 429 |
+
mixed_precision_reduce: float32
|
| 430 |
+
steps: 400000
|
| 431 |
+
tensor_parallel_degree: 1
|
| 432 |
+
use_cosine_decay: false
|
| 433 |
+
use_linear_decay: true
|
| 434 |
+
warmup_steps: 1000
|
| 435 |
+
training_seq_len: '4096'
|
| 436 |
+
transformers_version: 4.51.0.dev0
|
| 437 |
+
typical_p: '1.0'
|
| 438 |
+
use_bfloat16: 'False'
|
| 439 |
+
use_cache: 'False'
|
| 440 |
+
use_fsdp2: 'True'
|
| 441 |
+
use_return_dict: 'True'
|
| 442 |
+
use_rope_from_torchtitan: 'False'
|
| 443 |
+
use_sliding_window: 'False'
|
| 444 |
+
video_token_id: '151656'
|
| 445 |
+
vision_config:
|
| 446 |
+
_target_: cosmos_predict2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
|
| 447 |
+
add_cross_attention: 'False'
|
| 448 |
+
architectures: null
|
| 449 |
+
attn_implementation: flash_attention_2
|
| 450 |
+
attn_implementation_autoset: 'True'
|
| 451 |
+
bad_words_ids: null
|
| 452 |
+
begin_suppress_tokens: null
|
| 453 |
+
bos_token_id: null
|
| 454 |
+
chunk_size_feed_forward: '0'
|
| 455 |
+
cross_attention_hidden_size: null
|
| 456 |
+
decoder_start_token_id: null
|
| 457 |
+
depth: '32'
|
| 458 |
+
diversity_penalty: '0.0'
|
| 459 |
+
do_sample: 'False'
|
| 460 |
+
early_stopping: 'False'
|
| 461 |
+
embed_dim: null
|
| 462 |
+
encoder_no_repeat_ngram_size: '0'
|
| 463 |
+
eos_token_id: null
|
| 464 |
+
exponential_decay_length_penalty: null
|
| 465 |
+
finetuning_task: null
|
| 466 |
+
forced_bos_token_id: null
|
| 467 |
+
forced_eos_token_id: null
|
| 468 |
+
fullatt_block_indexes:
|
| 469 |
+
- '7'
|
| 470 |
+
- '15'
|
| 471 |
+
- '23'
|
| 472 |
+
- '31'
|
| 473 |
+
hidden_act: silu
|
| 474 |
+
hidden_size: '1280'
|
| 475 |
+
id2label:
|
| 476 |
+
0: LABEL_0
|
| 477 |
+
1: LABEL_1
|
| 478 |
+
in_channels: '3'
|
| 479 |
+
in_chans: '3'
|
| 480 |
+
intermediate_size: '3420'
|
| 481 |
+
is_decoder: 'False'
|
| 482 |
+
is_encoder_decoder: 'False'
|
| 483 |
+
label2id:
|
| 484 |
+
LABEL_0: '0'
|
| 485 |
+
LABEL_1: '1'
|
| 486 |
+
length_penalty: '1.0'
|
| 487 |
+
max_length: '20'
|
| 488 |
+
min_length: '0'
|
| 489 |
+
mlp_ratio: null
|
| 490 |
+
model_type: qwen2_5_vl
|
| 491 |
+
name_or_path: ''
|
| 492 |
+
no_repeat_ngram_size: '0'
|
| 493 |
+
num_beam_groups: '1'
|
| 494 |
+
num_beams: '1'
|
| 495 |
+
num_heads: '16'
|
| 496 |
+
num_return_sequences: '1'
|
| 497 |
+
out_hidden_size: '3584'
|
| 498 |
+
output_attentions: 'False'
|
| 499 |
+
output_hidden_states: 'False'
|
| 500 |
+
output_scores: 'False'
|
| 501 |
+
pad_token_id: null
|
| 502 |
+
patch_size: '14'
|
| 503 |
+
prefix: null
|
| 504 |
+
problem_type: null
|
| 505 |
+
pruned_heads: _Nothing.NOTHING
|
| 506 |
+
remove_invalid_values: 'False'
|
| 507 |
+
repetition_penalty: '1.0'
|
| 508 |
+
return_dict: 'True'
|
| 509 |
+
return_dict_in_generate: 'False'
|
| 510 |
+
sep_token_id: null
|
| 511 |
+
spatial_merge_size: '2'
|
| 512 |
+
spatial_patch_size: '14'
|
| 513 |
+
suppress_tokens: null
|
| 514 |
+
task_specific_params: null
|
| 515 |
+
temperature: '1.0'
|
| 516 |
+
temporal_patch_size: '2'
|
| 517 |
+
tf_legacy_loss: 'False'
|
| 518 |
+
tie_encoder_decoder: 'False'
|
| 519 |
+
tie_word_embeddings: 'True'
|
| 520 |
+
tokenizer_class: null
|
| 521 |
+
tokens_per_second: '2'
|
| 522 |
+
top_k: '50'
|
| 523 |
+
top_p: '1.0'
|
| 524 |
+
torch_dtype: bfloat16
|
| 525 |
+
torchscript: 'False'
|
| 526 |
+
typical_p: '1.0'
|
| 527 |
+
use_bfloat16: 'False'
|
| 528 |
+
window_size: '112'
|
| 529 |
+
vision_encoder: openai/clip-vit-base-patch32
|
| 530 |
+
vision_encoder_config:
|
| 531 |
+
depth_init: true
|
| 532 |
+
dim: 1024
|
| 533 |
+
ffn_dim_multiplier: null
|
| 534 |
+
head_dim: null
|
| 535 |
+
hidden_act: null
|
| 536 |
+
hidden_dim: 4096
|
| 537 |
+
image_size: 1024
|
| 538 |
+
image_token_id: null
|
| 539 |
+
multiple_of: null
|
| 540 |
+
n_heads: 16
|
| 541 |
+
n_kv_heads: null
|
| 542 |
+
n_layers: 24
|
| 543 |
+
norm_eps: 1.0e-05
|
| 544 |
+
norm_type: rmsnorm
|
| 545 |
+
num_channels: 3
|
| 546 |
+
patch_size: 16
|
| 547 |
+
proj_bias: null
|
| 548 |
+
qkv_bias: null
|
| 549 |
+
rope_theta: 10000.0
|
| 550 |
+
use_cache: false
|
| 551 |
+
use_rope_from_torchtitan: false
|
| 552 |
+
vision_encoder_in_channels: '3'
|
| 553 |
+
vision_end_token_id: '151653'
|
| 554 |
+
vision_start_token_id: '151652'
|
| 555 |
+
vision_token_id: '151654'
|
| 556 |
+
vocab_size: '152064'
|
| 557 |
+
z_loss_coeff: '0.0'
|
| 558 |
+
tokenizer:
|
| 559 |
+
_target_: <function build_tokenizer at 0x7feec9f5ba30>
|
| 560 |
+
cache_dir: null
|
| 561 |
+
tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
|
| 562 |
+
n_layers_per_group: 5
|
| 563 |
+
s3_credential_path: credentials/s3_checkpoint.secret
|
| 564 |
+
tokenizer:
|
| 565 |
+
_target_: <class 'cosmos_predict2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
|
| 566 |
+
chunk_duration: '81'
|
| 567 |
+
load_mean_std: 'False'
|
| 568 |
+
name: wan2pt1_tokenizer
|
| 569 |
+
temporal_window: '16'
|
| 570 |
+
train_time_distribution: logitnormal
|
| 571 |
+
train_time_weight: reweighting
|
| 572 |
+
use_dora: false
|
| 573 |
+
use_dynamic_shift: false
|
| 574 |
+
use_high_sigma_strategy: false
|
| 575 |
+
use_kerras_sigma_at_inference: false
|
| 576 |
+
use_lora: false
|
| 577 |
+
use_torch_compile: false
|
| 578 |
+
model_parallel:
|
| 579 |
+
_cpu_offloading_context: null
|
| 580 |
+
async_tensor_model_parallel_allreduce: false
|
| 581 |
+
autocast_dtype: torch.float32
|
| 582 |
+
barrier_with_L1_time: true
|
| 583 |
+
batch_p2p_comm: true
|
| 584 |
+
batch_p2p_sync: true
|
| 585 |
+
bf16: false
|
| 586 |
+
context_parallel_size: 1
|
| 587 |
+
cpu_offloading: false
|
| 588 |
+
cpu_offloading_activations: true
|
| 589 |
+
cpu_offloading_double_buffering: false
|
| 590 |
+
cpu_offloading_num_layers: 0
|
| 591 |
+
cpu_offloading_weights: true
|
| 592 |
+
cross_entropy_fusion_impl: native
|
| 593 |
+
cross_entropy_loss_fusion: false
|
| 594 |
+
deallocate_pipeline_outputs: false
|
| 595 |
+
defer_embedding_wgrad_compute: false
|
| 596 |
+
delay_wgrad_compute: false
|
| 597 |
+
deterministic_mode: false
|
| 598 |
+
enable_autocast: false
|
| 599 |
+
expert_model_parallel_size: 1
|
| 600 |
+
expert_tensor_parallel_size: 1
|
| 601 |
+
finalize_model_grads_func: null
|
| 602 |
+
fp16: false
|
| 603 |
+
grad_scale_func: null
|
| 604 |
+
grad_sync_func: null
|
| 605 |
+
gradient_accumulation_fusion: false
|
| 606 |
+
hierarchical_context_parallel_sizes: null
|
| 607 |
+
microbatch_group_size_per_vp_stage: 1
|
| 608 |
+
moe_extended_tp: false
|
| 609 |
+
no_sync_func: null
|
| 610 |
+
num_microbatches_with_partial_activation_checkpoints: null
|
| 611 |
+
overlap_moe_expert_parallel_comm: false
|
| 612 |
+
overlap_p2p_comm: false
|
| 613 |
+
overlap_p2p_comm_warmup_flush: false
|
| 614 |
+
param_sync_func: null
|
| 615 |
+
params_dtype: torch.float32
|
| 616 |
+
perform_initialization: true
|
| 617 |
+
pipeline_dtype: null
|
| 618 |
+
pipeline_model_parallel_comm_backend: null
|
| 619 |
+
pipeline_model_parallel_size: 1
|
| 620 |
+
sequence_parallel: false
|
| 621 |
+
tensor_model_parallel_size: 1
|
| 622 |
+
timers: null
|
| 623 |
+
tp_comm_atomic_ag: false
|
| 624 |
+
tp_comm_atomic_rs: false
|
| 625 |
+
tp_comm_bootstrap_backend: nccl
|
| 626 |
+
tp_comm_bulk_dgrad: true
|
| 627 |
+
tp_comm_bulk_wgrad: true
|
| 628 |
+
tp_comm_overlap: false
|
| 629 |
+
tp_comm_overlap_ag: true
|
| 630 |
+
tp_comm_overlap_disable_fc1: false
|
| 631 |
+
tp_comm_overlap_disable_qkv: false
|
| 632 |
+
tp_comm_overlap_rs: true
|
| 633 |
+
tp_comm_overlap_rs_dgrad: false
|
| 634 |
+
tp_comm_split_ag: true
|
| 635 |
+
tp_comm_split_rs: true
|
| 636 |
+
use_cpu_initialization: false
|
| 637 |
+
use_ring_exchange_p2p: false
|
| 638 |
+
use_te_rng_tracker: false
|
| 639 |
+
variable_seq_lengths: false
|
| 640 |
+
virtual_pipeline_model_parallel_size: null
|
| 641 |
+
wgrad_deferral_limit: 0
|
| 642 |
+
optimizer:
|
| 643 |
+
_target_: <function get_base_optimizer at 0x7feec80324d0>
|
| 644 |
+
betas:
|
| 645 |
+
- '0.9'
|
| 646 |
+
- '0.999'
|
| 647 |
+
eps: 1e-08
|
| 648 |
+
fused: 'True'
|
| 649 |
+
lr: '4.315837287515549e-05'
|
| 650 |
+
model: null
|
| 651 |
+
optim_type: adamw
|
| 652 |
+
weight_decay: '0.001'
|
| 653 |
+
scheduler:
|
| 654 |
+
_target_: <class 'cosmos_predict2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
|
| 655 |
+
cycle_lengths:
|
| 656 |
+
- '100000'
|
| 657 |
+
f_max:
|
| 658 |
+
- '0.5'
|
| 659 |
+
f_min:
|
| 660 |
+
- '0.2'
|
| 661 |
+
f_start:
|
| 662 |
+
- 1e-06
|
| 663 |
+
verbosity_interval: '0'
|
| 664 |
+
warm_up_steps:
|
| 665 |
+
- '1000'
|
| 666 |
+
trainer:
|
| 667 |
+
callbacks:
|
| 668 |
+
compile_tokenizer:
|
| 669 |
+
_target_: <class 'cosmos_predict2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
|
| 670 |
+
compile_after_iterations: '4'
|
| 671 |
+
dynamic: 'False'
|
| 672 |
+
enabled: 'True'
|
| 673 |
+
dataloader_speed:
|
| 674 |
+
_target_: <class 'cosmos_predict2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
|
| 675 |
+
every_n: '100'
|
| 676 |
+
save_s3: 'False'
|
| 677 |
+
step_size: '1'
|
| 678 |
+
device_monitor:
|
| 679 |
+
_target_: <class 'cosmos_predict2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
|
| 680 |
+
every_n: '100'
|
| 681 |
+
log_memory_detail: 'True'
|
| 682 |
+
save_s3: 'False'
|
| 683 |
+
step_size: '1'
|
| 684 |
+
upload_every_n_mul: '10'
|
| 685 |
+
every_n_sample_ema:
|
| 686 |
+
_target_: <class 'cosmos_predict2._src.predict2.callbacks.every_n_draw_sample.EveryNDrawSample'>
|
| 687 |
+
do_x0_prediction: 'False'
|
| 688 |
+
every_n: '1000'
|
| 689 |
+
fps: '16'
|
| 690 |
+
guidance:
|
| 691 |
+
- '0.0'
|
| 692 |
+
- '3.0'
|
| 693 |
+
- '7.0'
|
| 694 |
+
is_ema: 'True'
|
| 695 |
+
n_sample_to_save: '128'
|
| 696 |
+
n_sigmas_for_x0_prediction: '4'
|
| 697 |
+
n_viz_sample: '3'
|
| 698 |
+
num_sampling_step: '35'
|
| 699 |
+
prompt_type: t5_xxl
|
| 700 |
+
run_at_start: 'False'
|
| 701 |
+
save_s3: 'False'
|
| 702 |
+
step_size: '1'
|
| 703 |
+
use_negative_prompt: 'False'
|
| 704 |
+
every_n_sample_reg:
|
| 705 |
+
_target_: <class 'cosmos_predict2._src.predict2.callbacks.every_n_draw_sample.EveryNDrawSample'>
|
| 706 |
+
do_x0_prediction: 'False'
|
| 707 |
+
every_n: '1000'
|
| 708 |
+
fps: '16'
|
| 709 |
+
guidance:
|
| 710 |
+
- '0.0'
|
| 711 |
+
- '3.0'
|
| 712 |
+
- '7.0'
|
| 713 |
+
is_ema: 'False'
|
| 714 |
+
n_sample_to_save: '128'
|
| 715 |
+
n_sigmas_for_x0_prediction: '4'
|
| 716 |
+
n_viz_sample: '3'
|
| 717 |
+
num_sampling_step: '35'
|
| 718 |
+
prompt_type: t5_xxl
|
| 719 |
+
run_at_start: 'False'
|
| 720 |
+
save_s3: 'False'
|
| 721 |
+
step_size: '1'
|
| 722 |
+
use_negative_prompt: 'False'
|
| 723 |
+
grad_clip:
|
| 724 |
+
_target_: <class 'cosmos_predict2._src.predict2.callbacks.grad_clip.GradClip'>
|
| 725 |
+
clip_norm: '0.1'
|
| 726 |
+
force_finite: 'True'
|
| 727 |
+
heart_beat:
|
| 728 |
+
_target_: <class 'cosmos_predict2._src.predict2.callbacks.heart_beat.HeartBeat'>
|
| 729 |
+
every_n: '10'
|
| 730 |
+
save_s3: 'False'
|
| 731 |
+
step_size: '1'
|
| 732 |
+
update_interval_in_minute: '20'
|
| 733 |
+
iter_speed:
|
| 734 |
+
_target_: <class 'cosmos_predict2._src.predict2.callbacks.iter_speed.IterSpeed'>
|
| 735 |
+
every_n: '100'
|
| 736 |
+
hit_thres: '100'
|
| 737 |
+
save_s3: 'False'
|
| 738 |
+
save_s3_every_log_n: '10'
|
| 739 |
+
low_prec:
|
| 740 |
+
_target_: <class 'cosmos_predict2._src.imaginaire.utils.callback.LowPrecisionCallback'>
|
| 741 |
+
config: null
|
| 742 |
+
trainer: null
|
| 743 |
+
update_iter: '1'
|
| 744 |
+
manual_gc:
|
| 745 |
+
_target_: <class 'cosmos_predict2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
|
| 746 |
+
every_n: '200'
|
| 747 |
+
warm_up: '5'
|
| 748 |
+
wandb:
|
| 749 |
+
_target_: <class 'cosmos_predict2._src.predict2.callbacks.wandb_log.WandbCallback'>
|
| 750 |
+
logging_iter_multipler: '1'
|
| 751 |
+
save_logging_iter_multipler: '10'
|
| 752 |
+
save_s3: 'False'
|
| 753 |
+
wandb_10x:
|
| 754 |
+
_target_: <class 'cosmos_predict2._src.predict2.callbacks.wandb_log.WandbCallback'>
|
| 755 |
+
logging_iter_multipler: '10'
|
| 756 |
+
save_logging_iter_multipler: '1'
|
| 757 |
+
save_s3: 'False'
|
| 758 |
+
compile_config:
|
| 759 |
+
recompile_limit: '8'
|
| 760 |
+
use_duck_shape: 'True'
|
| 761 |
+
cudnn:
|
| 762 |
+
benchmark: 'True'
|
| 763 |
+
deterministic: 'False'
|
| 764 |
+
ddp:
|
| 765 |
+
broadcast_buffers: 'True'
|
| 766 |
+
find_unused_parameters: 'False'
|
| 767 |
+
static_graph: 'True'
|
| 768 |
+
distributed_parallelism: fsdp
|
| 769 |
+
grad_accum_iter: '1'
|
| 770 |
+
grad_scaler_args:
|
| 771 |
+
enabled: 'False'
|
| 772 |
+
logging_iter: '100'
|
| 773 |
+
max_iter: '20000'
|
| 774 |
+
max_val_iter: null
|
| 775 |
+
memory_format: torch.preserve_format
|
| 776 |
+
profiling:
|
| 777 |
+
enable_memory_snapshot: 'False'
|
| 778 |
+
enable_profiling: 'False'
|
| 779 |
+
profile_freq: '1'
|
| 780 |
+
profile_memory: 'False'
|
| 781 |
+
record_shape: 'False'
|
| 782 |
+
save_s3: 'False'
|
| 783 |
+
target_ranks:
|
| 784 |
+
- '0'
|
| 785 |
+
- '1'
|
| 786 |
+
- '2'
|
| 787 |
+
- '3'
|
| 788 |
+
- '4'
|
| 789 |
+
- '5'
|
| 790 |
+
- '6'
|
| 791 |
+
- '7'
|
| 792 |
+
with_modules: 'True'
|
| 793 |
+
with_stack: 'True'
|
| 794 |
+
run_validation: 'False'
|
| 795 |
+
run_validation_on_start: 'False'
|
| 796 |
+
seed: '0'
|
| 797 |
+
straggler_detection:
|
| 798 |
+
analyze_backward: 'True'
|
| 799 |
+
analyze_dataloading: 'True'
|
| 800 |
+
analyze_forward: 'True'
|
| 801 |
+
analyze_optimizer: 'True'
|
| 802 |
+
enabled: 'False'
|
| 803 |
+
max_diff: '1.5'
|
| 804 |
+
profile_freq: '1'
|
| 805 |
+
raise_error: 'True'
|
| 806 |
+
report_freq: '100'
|
| 807 |
+
timeout_period: '999999999'
|
| 808 |
+
type: <class 'cosmos_predict2._src.imaginaire.trainer.ImaginaireTrainer'>
|
| 809 |
+
validation_iter: '100'
|
| 810 |
+
upload_reproducible_setup: 'True'
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/console.log
ADDED
|
@@ -0,0 +1,1074 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[04-05 11:00:59|INFO|cosmos_predict2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/base/pre-trained(d20b7120-df3e-4911-919d-db6e08bad31c)
|
| 2 |
+
[04-05 11:00:59|INFO|cosmos_predict2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision 15a82a2ec231bc318692aa0456a36537c806e7d4 base/pre-trained/d20b7120-df3e-4911-919d-db6e08bad31c_ema_bf16.pt
|
| 3 |
+
[04-05 11:01:00|INFO|cosmos_predict2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
|
| 4 |
+
[04-05 11:01:00|INFO|cosmos_predict2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision 6787e176dce74a101d922174a95dba29fa5f0c55 tokenizer.pth
|
| 5 |
+
[04-05 11:01:11|INFO|cosmos_predict2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
|
| 6 |
+
[04-05 11:01:11|INFO|cosmos_predict2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
|
| 7 |
+
[04-05 11:01:13|INFO|cosmos_predict2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
|
| 8 |
+
[04-05 11:01:13|INFO|cosmos_predict2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
|
| 9 |
+
[04-05 11:01:36|INFO|cosmos_predict2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/base/pre-trained(d20b7120-df3e-4911-919d-db6e08bad31c)
|
| 10 |
+
[04-05 11:02:00|CRITICAL|cosmos_predict2/_src/imaginaire/trainer.py:229:train] Distributed parallelism mode: fsdp
|
| 11 |
+
[04-05 11:02:00|INFO|cosmos_predict2/_src/imaginaire/trainer.py:238:train] Starting training...
|
| 12 |
+
[04-05 11:02:00|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:120:on_train_start] DeviceMonitor callback: local_dir: /vast/users/tianyu.wang/anv_workspace/ViewPlan/cosmos-predict2.5-main/cosmos_predict_v2p5/video2world/2b_groot_gr1_480/DeviceMonitor
|
| 13 |
+
[04-05 11:02:00|INFO|cosmos_predict2/_src/predict2/callbacks/every_n_draw_sample.py:124:on_train_start] Callback: local_dir: /vast/users/tianyu.wang/anv_workspace/ViewPlan/cosmos-predict2.5-main/cosmos_predict_v2p5/video2world/2b_groot_gr1_480/EveryNDrawSample
|
| 14 |
+
[04-05 11:02:00|INFO|cosmos_predict2/_src/predict2/callbacks/every_n_draw_sample.py:124:on_train_start] Callback: local_dir: /vast/users/tianyu.wang/anv_workspace/ViewPlan/cosmos-predict2.5-main/cosmos_predict_v2p5/video2world/2b_groot_gr1_480/EveryNDrawSample
|
| 15 |
+
[04-05 16:50:32|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6001: Hit counter: 1/100 | Loss: 0.0456 | Time: 20973.33s
|
| 16 |
+
[04-05 16:50:58|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6002: Hit counter: 2/100 | Loss: 0.0206 | Time: 25.99s
|
| 17 |
+
[04-05 16:51:24|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6003: Hit counter: 3/100 | Loss: 0.0500 | Time: 26.01s
|
| 18 |
+
[04-05 16:51:50|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6004: Hit counter: 4/100 | Loss: 0.0532 | Time: 26.03s
|
| 19 |
+
[04-05 16:52:48|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6005: Hit counter: 5/100 | Loss: 0.0153 | Time: 58.53s
|
| 20 |
+
[04-05 16:53:14|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6006: Hit counter: 6/100 | Loss: 0.0538 | Time: 25.39s
|
| 21 |
+
[04-05 16:53:39|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6007: Hit counter: 7/100 | Loss: 0.0252 | Time: 25.36s
|
| 22 |
+
[04-05 16:54:04|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6008: Hit counter: 8/100 | Loss: 0.0366 | Time: 25.39s
|
| 23 |
+
[04-05 16:54:30|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6009: Hit counter: 9/100 | Loss: 0.0296 | Time: 25.38s
|
| 24 |
+
[04-05 16:54:55|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6010: Hit counter: 10/100 | Loss: 0.0491 | Time: 25.39s
|
| 25 |
+
[04-05 16:55:21|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6011: Hit counter: 11/100 | Loss: 0.0227 | Time: 25.38s
|
| 26 |
+
[04-05 16:55:46|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6012: Hit counter: 12/100 | Loss: 0.0152 | Time: 25.38s
|
| 27 |
+
[04-05 16:56:11|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6013: Hit counter: 13/100 | Loss: 0.1422 | Time: 25.39s
|
| 28 |
+
[04-05 16:56:37|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6014: Hit counter: 14/100 | Loss: 0.0291 | Time: 25.39s
|
| 29 |
+
[04-05 16:57:02|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6015: Hit counter: 15/100 | Loss: 0.0768 | Time: 25.37s
|
| 30 |
+
[04-05 16:57:28|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6016: Hit counter: 16/100 | Loss: 0.0285 | Time: 25.39s
|
| 31 |
+
[04-05 16:57:53|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6017: Hit counter: 17/100 | Loss: 0.0580 | Time: 25.37s
|
| 32 |
+
[04-05 16:58:18|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6018: Hit counter: 18/100 | Loss: 0.0447 | Time: 25.39s
|
| 33 |
+
[04-05 16:58:44|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6019: Hit counter: 19/100 | Loss: 0.0652 | Time: 25.39s
|
| 34 |
+
[04-05 16:59:09|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6020: Hit counter: 20/100 | Loss: 0.0220 | Time: 25.39s
|
| 35 |
+
[04-05 16:59:34|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6021: Hit counter: 21/100 | Loss: 0.0331 | Time: 25.38s
|
| 36 |
+
[04-05 17:00:00|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6022: Hit counter: 22/100 | Loss: 0.0386 | Time: 25.40s
|
| 37 |
+
[04-05 17:00:25|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6023: Hit counter: 23/100 | Loss: 0.0636 | Time: 25.37s
|
| 38 |
+
[04-05 17:00:51|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6024: Hit counter: 24/100 | Loss: 0.0479 | Time: 25.38s
|
| 39 |
+
[04-05 17:01:16|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6025: Hit counter: 25/100 | Loss: 0.0668 | Time: 25.39s
|
| 40 |
+
[04-05 17:01:41|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6026: Hit counter: 26/100 | Loss: 0.0349 | Time: 25.39s
|
| 41 |
+
[04-05 17:02:07|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6027: Hit counter: 27/100 | Loss: 0.0274 | Time: 25.37s
|
| 42 |
+
[04-05 17:02:32|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6028: Hit counter: 28/100 | Loss: 0.0291 | Time: 25.38s
|
| 43 |
+
[04-05 17:02:58|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6029: Hit counter: 29/100 | Loss: 0.0179 | Time: 25.39s
|
| 44 |
+
[04-05 17:03:23|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6030: Hit counter: 30/100 | Loss: 0.0289 | Time: 25.39s
|
| 45 |
+
[04-05 17:03:48|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6031: Hit counter: 31/100 | Loss: 0.0276 | Time: 25.39s
|
| 46 |
+
[04-05 17:04:14|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6032: Hit counter: 32/100 | Loss: 0.0542 | Time: 25.40s
|
| 47 |
+
[04-05 17:04:39|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6033: Hit counter: 33/100 | Loss: 0.0782 | Time: 25.39s
|
| 48 |
+
[04-05 17:05:05|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6034: Hit counter: 34/100 | Loss: 0.0143 | Time: 25.39s
|
| 49 |
+
[04-05 17:05:30|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6035: Hit counter: 35/100 | Loss: 0.0371 | Time: 25.39s
|
| 50 |
+
[04-05 17:05:55|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6036: Hit counter: 36/100 | Loss: 0.0643 | Time: 25.38s
|
| 51 |
+
[04-05 17:06:21|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6037: Hit counter: 37/100 | Loss: 0.0322 | Time: 25.40s
|
| 52 |
+
[04-05 17:06:46|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6038: Hit counter: 38/100 | Loss: 0.0368 | Time: 25.40s
|
| 53 |
+
[04-05 17:07:11|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6039: Hit counter: 39/100 | Loss: 0.0169 | Time: 25.37s
|
| 54 |
+
[04-05 17:07:37|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6040: Hit counter: 40/100 | Loss: 0.0215 | Time: 25.39s
|
| 55 |
+
[04-05 17:08:02|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6041: Hit counter: 41/100 | Loss: 0.0262 | Time: 25.39s
|
| 56 |
+
[04-05 17:08:28|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6042: Hit counter: 42/100 | Loss: 0.0689 | Time: 25.38s
|
| 57 |
+
[04-05 17:08:53|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6043: Hit counter: 43/100 | Loss: 0.0416 | Time: 25.39s
|
| 58 |
+
[04-05 17:09:18|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6044: Hit counter: 44/100 | Loss: 0.0471 | Time: 25.41s
|
| 59 |
+
[04-05 17:09:44|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6045: Hit counter: 45/100 | Loss: 0.0499 | Time: 25.37s
|
| 60 |
+
[04-05 17:10:09|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6046: Hit counter: 46/100 | Loss: 0.0511 | Time: 25.39s
|
| 61 |
+
[04-05 17:10:35|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6047: Hit counter: 47/100 | Loss: 0.0846 | Time: 25.41s
|
| 62 |
+
[04-05 17:11:00|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6048: Hit counter: 48/100 | Loss: 0.0316 | Time: 25.37s
|
| 63 |
+
[04-05 17:11:25|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6049: Hit counter: 49/100 | Loss: 0.0297 | Time: 25.39s
|
| 64 |
+
[04-05 17:11:51|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6050: Hit counter: 50/100 | Loss: 0.0140 | Time: 25.36s
|
| 65 |
+
[04-05 17:12:16|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6051: Hit counter: 51/100 | Loss: 0.0232 | Time: 25.39s
|
| 66 |
+
[04-05 17:12:42|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6052: Hit counter: 52/100 | Loss: 0.0353 | Time: 25.40s
|
| 67 |
+
[04-05 17:13:07|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6053: Hit counter: 53/100 | Loss: 0.0432 | Time: 25.38s
|
| 68 |
+
[04-05 17:13:32|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6054: Hit counter: 54/100 | Loss: 0.0315 | Time: 25.38s
|
| 69 |
+
[04-05 17:13:58|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6055: Hit counter: 55/100 | Loss: 0.0139 | Time: 25.38s
|
| 70 |
+
[04-05 17:14:23|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6056: Hit counter: 56/100 | Loss: 0.0201 | Time: 25.37s
|
| 71 |
+
[04-05 17:14:49|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6057: Hit counter: 57/100 | Loss: 0.0172 | Time: 25.38s
|
| 72 |
+
[04-05 17:15:14|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6058: Hit counter: 58/100 | Loss: 0.0205 | Time: 25.36s
|
| 73 |
+
[04-05 17:15:39|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6059: Hit counter: 59/100 | Loss: 0.0175 | Time: 25.40s
|
| 74 |
+
[04-05 17:16:05|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6060: Hit counter: 60/100 | Loss: 0.0626 | Time: 25.39s
|
| 75 |
+
[04-05 17:16:30|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6061: Hit counter: 61/100 | Loss: 0.0159 | Time: 25.37s
|
| 76 |
+
[04-05 17:16:55|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6062: Hit counter: 62/100 | Loss: 0.0218 | Time: 25.40s
|
| 77 |
+
[04-05 17:17:21|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6063: Hit counter: 63/100 | Loss: 0.0162 | Time: 25.39s
|
| 78 |
+
[04-05 17:17:46|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6064: Hit counter: 64/100 | Loss: 0.0279 | Time: 25.39s
|
| 79 |
+
[04-05 17:18:12|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6065: Hit counter: 65/100 | Loss: 0.0449 | Time: 25.38s
|
| 80 |
+
[04-05 17:18:37|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6066: Hit counter: 66/100 | Loss: 0.1299 | Time: 25.37s
|
| 81 |
+
[04-05 17:19:02|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6067: Hit counter: 67/100 | Loss: 0.0179 | Time: 25.36s
|
| 82 |
+
[04-05 17:19:28|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6068: Hit counter: 68/100 | Loss: 0.0473 | Time: 25.38s
|
| 83 |
+
[04-05 17:19:53|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6069: Hit counter: 69/100 | Loss: 0.0436 | Time: 25.39s
|
| 84 |
+
[04-05 17:20:19|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6070: Hit counter: 70/100 | Loss: 0.0350 | Time: 25.40s
|
| 85 |
+
[04-05 17:20:44|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6071: Hit counter: 71/100 | Loss: 0.0796 | Time: 25.40s
|
| 86 |
+
[04-05 17:21:09|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6072: Hit counter: 72/100 | Loss: 0.0283 | Time: 25.38s
|
| 87 |
+
[04-05 17:21:35|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6073: Hit counter: 73/100 | Loss: 0.0358 | Time: 25.39s
|
| 88 |
+
[04-05 17:22:00|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6074: Hit counter: 74/100 | Loss: 0.0163 | Time: 25.40s
|
| 89 |
+
[04-05 17:22:26|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6075: Hit counter: 75/100 | Loss: 0.1042 | Time: 25.39s
|
| 90 |
+
[04-05 17:22:51|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6076: Hit counter: 76/100 | Loss: 0.0504 | Time: 25.39s
|
| 91 |
+
[04-05 17:23:16|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6077: Hit counter: 77/100 | Loss: 0.0230 | Time: 25.39s
|
| 92 |
+
[04-05 17:23:42|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6078: Hit counter: 78/100 | Loss: 0.0190 | Time: 25.38s
|
| 93 |
+
[04-05 17:24:07|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6079: Hit counter: 79/100 | Loss: 0.0384 | Time: 25.37s
|
| 94 |
+
[04-05 17:24:32|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6080: Hit counter: 80/100 | Loss: 0.0204 | Time: 25.38s
|
| 95 |
+
[04-05 17:24:58|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6081: Hit counter: 81/100 | Loss: 0.0226 | Time: 25.38s
|
| 96 |
+
[04-05 17:25:23|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6082: Hit counter: 82/100 | Loss: 0.0359 | Time: 25.39s
|
| 97 |
+
[04-05 17:25:49|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6083: Hit counter: 83/100 | Loss: 0.0367 | Time: 25.40s
|
| 98 |
+
[04-05 17:26:14|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6084: Hit counter: 84/100 | Loss: 0.0344 | Time: 25.39s
|
| 99 |
+
[04-05 17:26:39|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6085: Hit counter: 85/100 | Loss: 0.0935 | Time: 25.39s
|
| 100 |
+
[04-05 17:27:05|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6086: Hit counter: 86/100 | Loss: 0.0270 | Time: 25.40s
|
| 101 |
+
[04-05 17:27:30|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6087: Hit counter: 87/100 | Loss: 0.0168 | Time: 25.38s
|
| 102 |
+
[04-05 17:27:56|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6088: Hit counter: 88/100 | Loss: 0.0278 | Time: 25.39s
|
| 103 |
+
[04-05 17:28:21|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6089: Hit counter: 89/100 | Loss: 0.0266 | Time: 25.39s
|
| 104 |
+
[04-05 17:28:46|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6090: Hit counter: 90/100 | Loss: 0.0163 | Time: 25.40s
|
| 105 |
+
[04-05 17:29:12|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6091: Hit counter: 91/100 | Loss: 0.0189 | Time: 25.40s
|
| 106 |
+
[04-05 17:29:37|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6092: Hit counter: 92/100 | Loss: 0.0188 | Time: 25.40s
|
| 107 |
+
[04-05 17:30:03|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6093: Hit counter: 93/100 | Loss: 0.1042 | Time: 25.36s
|
| 108 |
+
[04-05 17:30:28|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6094: Hit counter: 94/100 | Loss: 0.0226 | Time: 25.39s
|
| 109 |
+
[04-05 17:30:53|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6095: Hit counter: 95/100 | Loss: 0.0192 | Time: 25.38s
|
| 110 |
+
[04-05 17:31:19|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6096: Hit counter: 96/100 | Loss: 0.0193 | Time: 25.39s
|
| 111 |
+
[04-05 17:31:44|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6097: Hit counter: 97/100 | Loss: 0.0242 | Time: 25.38s
|
| 112 |
+
[04-05 17:32:10|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6098: Hit counter: 98/100 | Loss: 0.0424 | Time: 25.40s
|
| 113 |
+
[04-05 17:32:35|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6099: Hit counter: 99/100 | Loss: 0.0121 | Time: 25.39s
|
| 114 |
+
[04-05 17:33:00|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:57:on_training_step_end] Iteration 6100: Hit counter: 100/100 | Loss: 0.0319 | Time: 25.41s
|
| 115 |
+
[04-05 17:33:04|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 116 |
+
Avg Max Min
|
| 117 |
+
cpu_mem_gb 156.318386 156.318386 156.318386
|
| 118 |
+
peak_gpu_mem_gb 44.072151 44.072151 44.072151
|
| 119 |
+
peak_gpu_mem_reserved_gb 59.013672 59.013672 59.013672
|
| 120 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 121 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 122 |
+
temp 0.000000 0.000000 0.000000
|
| 123 |
+
power 0.000000 0.000000 0.000000
|
| 124 |
+
util 0.000000 0.000000 0.000000
|
| 125 |
+
clock 0.000000 0.000000 0.000000
|
| 126 |
+
[04-05 18:15:27|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 127 |
+
Avg Max Min
|
| 128 |
+
cpu_mem_gb 156.282501 156.282501 156.282501
|
| 129 |
+
peak_gpu_mem_gb 43.839803 43.839803 43.839803
|
| 130 |
+
peak_gpu_mem_reserved_gb 59.013672 59.013672 59.013672
|
| 131 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 132 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 133 |
+
temp 0.000000 0.000000 0.000000
|
| 134 |
+
power 0.000000 0.000000 0.000000
|
| 135 |
+
util 0.000000 0.000000 0.000000
|
| 136 |
+
clock 0.000000 0.000000 0.000000
|
| 137 |
+
[04-05 18:57:46|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 6300 : iter_speed 25.41 seconds per iteration | Loss: 0.0341
|
| 138 |
+
[04-05 18:57:48|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 139 |
+
Avg Max Min
|
| 140 |
+
cpu_mem_gb 156.432140 156.432140 156.432140
|
| 141 |
+
peak_gpu_mem_gb 43.839803 43.839803 43.839803
|
| 142 |
+
peak_gpu_mem_reserved_gb 59.013672 59.013672 59.013672
|
| 143 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 144 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 145 |
+
temp 0.000000 0.000000 0.000000
|
| 146 |
+
power 0.000000 0.000000 0.000000
|
| 147 |
+
util 0.000000 0.000000 0.000000
|
| 148 |
+
clock 0.000000 0.000000 0.000000
|
| 149 |
+
[04-05 19:40:08|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 6400 : iter_speed 25.42 seconds per iteration | Loss: 0.0241
|
| 150 |
+
[04-05 19:40:10|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 151 |
+
Avg Max Min
|
| 152 |
+
cpu_mem_gb 156.295464 156.295464 156.295464
|
| 153 |
+
peak_gpu_mem_gb 43.839803 43.839803 43.839803
|
| 154 |
+
peak_gpu_mem_reserved_gb 59.013672 59.013672 59.013672
|
| 155 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 156 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 157 |
+
temp 0.000000 0.000000 0.000000
|
| 158 |
+
power 0.000000 0.000000 0.000000
|
| 159 |
+
util 0.000000 0.000000 0.000000
|
| 160 |
+
clock 0.000000 0.000000 0.000000
|
| 161 |
+
[04-05 20:22:29|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 6500 : iter_speed 25.41 seconds per iteration | Loss: 0.0326
|
| 162 |
+
[04-05 20:22:31|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 163 |
+
Avg Max Min
|
| 164 |
+
cpu_mem_gb 156.343517 156.343517 156.343517
|
| 165 |
+
peak_gpu_mem_gb 43.839803 43.839803 43.839803
|
| 166 |
+
peak_gpu_mem_reserved_gb 59.013672 59.013672 59.013672
|
| 167 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 168 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 169 |
+
temp 0.000000 0.000000 0.000000
|
| 170 |
+
power 0.000000 0.000000 0.000000
|
| 171 |
+
util 0.000000 0.000000 0.000000
|
| 172 |
+
clock 0.000000 0.000000 0.000000
|
| 173 |
+
[04-05 21:04:51|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 6600 : iter_speed 25.42 seconds per iteration | Loss: 0.0385
|
| 174 |
+
[04-05 21:04:54|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 175 |
+
Avg Max Min
|
| 176 |
+
cpu_mem_gb 156.282532 156.282532 156.282532
|
| 177 |
+
peak_gpu_mem_gb 43.839803 43.839803 43.839803
|
| 178 |
+
peak_gpu_mem_reserved_gb 59.013672 59.013672 59.013672
|
| 179 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 180 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 181 |
+
temp 0.000000 0.000000 0.000000
|
| 182 |
+
power 0.000000 0.000000 0.000000
|
| 183 |
+
util 0.000000 0.000000 0.000000
|
| 184 |
+
clock 0.000000 0.000000 0.000000
|
| 185 |
+
[04-05 21:47:12|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 6700 : iter_speed 25.41 seconds per iteration | Loss: 0.0432
|
| 186 |
+
[04-05 21:47:14|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 187 |
+
Avg Max Min
|
| 188 |
+
cpu_mem_gb 156.160980 156.160980 156.160980
|
| 189 |
+
peak_gpu_mem_gb 43.839803 43.839803 43.839803
|
| 190 |
+
peak_gpu_mem_reserved_gb 59.013672 59.013672 59.013672
|
| 191 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 192 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 193 |
+
temp 0.000000 0.000000 0.000000
|
| 194 |
+
power 0.000000 0.000000 0.000000
|
| 195 |
+
util 0.000000 0.000000 0.000000
|
| 196 |
+
clock 0.000000 0.000000 0.000000
|
| 197 |
+
[04-05 22:29:32|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 6800 : iter_speed 25.40 seconds per iteration | Loss: 0.0232
|
| 198 |
+
[04-05 22:29:34|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 199 |
+
Avg Max Min
|
| 200 |
+
cpu_mem_gb 156.312675 156.312675 156.312675
|
| 201 |
+
peak_gpu_mem_gb 43.839803 43.839803 43.839803
|
| 202 |
+
peak_gpu_mem_reserved_gb 59.013672 59.013672 59.013672
|
| 203 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 204 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 205 |
+
temp 0.000000 0.000000 0.000000
|
| 206 |
+
power 0.000000 0.000000 0.000000
|
| 207 |
+
util 0.000000 0.000000 0.000000
|
| 208 |
+
clock 0.000000 0.000000 0.000000
|
| 209 |
+
[04-05 23:11:54|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 6900 : iter_speed 25.42 seconds per iteration | Loss: 0.0179
|
| 210 |
+
[04-05 23:11:56|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 211 |
+
Avg Max Min
|
| 212 |
+
cpu_mem_gb 156.220909 156.220909 156.220909
|
| 213 |
+
peak_gpu_mem_gb 43.839803 43.839803 43.839803
|
| 214 |
+
peak_gpu_mem_reserved_gb 59.013672 59.013672 59.013672
|
| 215 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 216 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 217 |
+
temp 0.000000 0.000000 0.000000
|
| 218 |
+
power 0.000000 0.000000 0.000000
|
| 219 |
+
util 0.000000 0.000000 0.000000
|
| 220 |
+
clock 0.000000 0.000000 0.000000
|
| 221 |
+
[04-05 23:54:56|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 7000 : iter_speed 25.82 seconds per iteration | Loss: 0.0220
|
| 222 |
+
[04-05 23:54:58|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 223 |
+
Avg Max Min
|
| 224 |
+
cpu_mem_gb 171.159916 171.159916 171.159916
|
| 225 |
+
peak_gpu_mem_gb 43.839803 43.839803 43.839803
|
| 226 |
+
peak_gpu_mem_reserved_gb 59.013672 59.013672 59.013672
|
| 227 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 228 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 229 |
+
temp 0.000000 0.000000 0.000000
|
| 230 |
+
power 0.000000 0.000000 0.000000
|
| 231 |
+
util 0.000000 0.000000 0.000000
|
| 232 |
+
clock 0.000000 0.000000 0.000000
|
| 233 |
+
[04-05 23:54:58|CRITICAL|cosmos_predict2/_src/imaginaire/callbacks/manual_gc.py:47:every_n_impl] Garbage collection disabled
|
| 234 |
+
[04-06 03:07:14|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 7100 : iter_speed 115.38 seconds per iteration | Loss: 0.0228
|
| 235 |
+
[04-06 03:07:16|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 236 |
+
Avg Max Min
|
| 237 |
+
cpu_mem_gb 171.179657 171.179657 171.179657
|
| 238 |
+
peak_gpu_mem_gb 48.545819 48.545819 48.545819
|
| 239 |
+
peak_gpu_mem_reserved_gb 59.013672 59.013672 59.013672
|
| 240 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 241 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 242 |
+
temp 0.000000 0.000000 0.000000
|
| 243 |
+
power 0.000000 0.000000 0.000000
|
| 244 |
+
util 0.000000 0.000000 0.000000
|
| 245 |
+
clock 0.000000 0.000000 0.000000
|
| 246 |
+
[04-06 03:49:37|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 7200 : iter_speed 25.43 seconds per iteration | Loss: 0.0506
|
| 247 |
+
[04-06 03:49:39|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 248 |
+
Avg Max Min
|
| 249 |
+
cpu_mem_gb 171.132404 171.132404 171.132404
|
| 250 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 251 |
+
peak_gpu_mem_reserved_gb 54.062500 54.062500 54.062500
|
| 252 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 253 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 254 |
+
temp 0.000000 0.000000 0.000000
|
| 255 |
+
power 0.000000 0.000000 0.000000
|
| 256 |
+
util 0.000000 0.000000 0.000000
|
| 257 |
+
clock 0.000000 0.000000 0.000000
|
| 258 |
+
[04-06 04:31:59|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 7300 : iter_speed 25.42 seconds per iteration | Loss: 0.0686
|
| 259 |
+
[04-06 04:32:01|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 260 |
+
Avg Max Min
|
| 261 |
+
cpu_mem_gb 171.239006 171.239006 171.239006
|
| 262 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 263 |
+
peak_gpu_mem_reserved_gb 54.062500 54.062500 54.062500
|
| 264 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 265 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 266 |
+
temp 0.000000 0.000000 0.000000
|
| 267 |
+
power 0.000000 0.000000 0.000000
|
| 268 |
+
util 0.000000 0.000000 0.000000
|
| 269 |
+
clock 0.000000 0.000000 0.000000
|
| 270 |
+
[04-06 05:14:21|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 7400 : iter_speed 25.42 seconds per iteration | Loss: 0.0201
|
| 271 |
+
[04-06 05:14:23|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 272 |
+
Avg Max Min
|
| 273 |
+
cpu_mem_gb 171.118538 171.118538 171.118538
|
| 274 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 275 |
+
peak_gpu_mem_reserved_gb 54.062500 54.062500 54.062500
|
| 276 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 277 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 278 |
+
temp 0.000000 0.000000 0.000000
|
| 279 |
+
power 0.000000 0.000000 0.000000
|
| 280 |
+
util 0.000000 0.000000 0.000000
|
| 281 |
+
clock 0.000000 0.000000 0.000000
|
| 282 |
+
[04-06 05:56:42|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 7500 : iter_speed 25.41 seconds per iteration | Loss: 0.0317
|
| 283 |
+
[04-06 05:56:45|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 284 |
+
Avg Max Min
|
| 285 |
+
cpu_mem_gb 171.222496 171.222496 171.222496
|
| 286 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 287 |
+
peak_gpu_mem_reserved_gb 54.062500 54.062500 54.062500
|
| 288 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 289 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 290 |
+
temp 0.000000 0.000000 0.000000
|
| 291 |
+
power 0.000000 0.000000 0.000000
|
| 292 |
+
util 0.000000 0.000000 0.000000
|
| 293 |
+
clock 0.000000 0.000000 0.000000
|
| 294 |
+
[04-06 06:39:04|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 7600 : iter_speed 25.42 seconds per iteration | Loss: 0.0552
|
| 295 |
+
[04-06 06:39:06|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 296 |
+
Avg Max Min
|
| 297 |
+
cpu_mem_gb 171.069515 171.069515 171.069515
|
| 298 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 299 |
+
peak_gpu_mem_reserved_gb 54.062500 54.062500 54.062500
|
| 300 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 301 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 302 |
+
temp 0.000000 0.000000 0.000000
|
| 303 |
+
power 0.000000 0.000000 0.000000
|
| 304 |
+
util 0.000000 0.000000 0.000000
|
| 305 |
+
clock 0.000000 0.000000 0.000000
|
| 306 |
+
[04-06 07:21:26|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 7700 : iter_speed 25.42 seconds per iteration | Loss: 0.0252
|
| 307 |
+
[04-06 07:21:28|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 308 |
+
Avg Max Min
|
| 309 |
+
cpu_mem_gb 171.168533 171.168533 171.168533
|
| 310 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 311 |
+
peak_gpu_mem_reserved_gb 54.062500 54.062500 54.062500
|
| 312 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 313 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 314 |
+
temp 0.000000 0.000000 0.000000
|
| 315 |
+
power 0.000000 0.000000 0.000000
|
| 316 |
+
util 0.000000 0.000000 0.000000
|
| 317 |
+
clock 0.000000 0.000000 0.000000
|
| 318 |
+
[04-06 08:03:47|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 7800 : iter_speed 25.41 seconds per iteration | Loss: 0.0182
|
| 319 |
+
[04-06 08:03:49|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 320 |
+
Avg Max Min
|
| 321 |
+
cpu_mem_gb 171.069656 171.069656 171.069656
|
| 322 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 323 |
+
peak_gpu_mem_reserved_gb 54.062500 54.062500 54.062500
|
| 324 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 325 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 326 |
+
temp 0.000000 0.000000 0.000000
|
| 327 |
+
power 0.000000 0.000000 0.000000
|
| 328 |
+
util 0.000000 0.000000 0.000000
|
| 329 |
+
clock 0.000000 0.000000 0.000000
|
| 330 |
+
[04-06 08:46:09|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 7900 : iter_speed 25.42 seconds per iteration | Loss: 0.0299
|
| 331 |
+
[04-06 08:46:11|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 332 |
+
Avg Max Min
|
| 333 |
+
cpu_mem_gb 171.185566 171.185566 171.185566
|
| 334 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 335 |
+
peak_gpu_mem_reserved_gb 54.062500 54.062500 54.062500
|
| 336 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 337 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 338 |
+
temp 0.000000 0.000000 0.000000
|
| 339 |
+
power 0.000000 0.000000 0.000000
|
| 340 |
+
util 0.000000 0.000000 0.000000
|
| 341 |
+
clock 0.000000 0.000000 0.000000
|
| 342 |
+
[04-06 09:29:38|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 8000 : iter_speed 26.09 seconds per iteration | Loss: 0.0493
|
| 343 |
+
[04-06 09:29:41|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 344 |
+
Avg Max Min
|
| 345 |
+
cpu_mem_gb 176.261879 176.261879 176.261879
|
| 346 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 347 |
+
peak_gpu_mem_reserved_gb 54.062500 54.062500 54.062500
|
| 348 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 349 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 350 |
+
temp 0.000000 0.000000 0.000000
|
| 351 |
+
power 0.000000 0.000000 0.000000
|
| 352 |
+
util 0.000000 0.000000 0.000000
|
| 353 |
+
clock 0.000000 0.000000 0.000000
|
| 354 |
+
[04-06 10:44:28|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 8100 : iter_speed 44.89 seconds per iteration | Loss: 0.0378
|
| 355 |
+
[04-06 10:44:30|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 356 |
+
Avg Max Min
|
| 357 |
+
cpu_mem_gb 176.312759 176.312759 176.312759
|
| 358 |
+
peak_gpu_mem_gb 48.543915 48.543915 48.543915
|
| 359 |
+
peak_gpu_mem_reserved_gb 54.062500 54.062500 54.062500
|
| 360 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 361 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 362 |
+
temp 0.000000 0.000000 0.000000
|
| 363 |
+
power 0.000000 0.000000 0.000000
|
| 364 |
+
util 0.000000 0.000000 0.000000
|
| 365 |
+
clock 0.000000 0.000000 0.000000
|
| 366 |
+
[04-06 11:26:50|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 8200 : iter_speed 25.42 seconds per iteration | Loss: 0.0462
|
| 367 |
+
[04-06 11:26:53|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 368 |
+
Avg Max Min
|
| 369 |
+
cpu_mem_gb 176.371777 176.371777 176.371777
|
| 370 |
+
peak_gpu_mem_gb 43.888510 43.888510 43.888510
|
| 371 |
+
peak_gpu_mem_reserved_gb 52.167969 52.167969 52.167969
|
| 372 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 373 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 374 |
+
temp 0.000000 0.000000 0.000000
|
| 375 |
+
power 0.000000 0.000000 0.000000
|
| 376 |
+
util 0.000000 0.000000 0.000000
|
| 377 |
+
clock 0.000000 0.000000 0.000000
|
| 378 |
+
[04-06 12:09:12|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 8300 : iter_speed 25.42 seconds per iteration | Loss: 0.0140
|
| 379 |
+
[04-06 12:09:15|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 380 |
+
Avg Max Min
|
| 381 |
+
cpu_mem_gb 176.251217 176.251217 176.251217
|
| 382 |
+
peak_gpu_mem_gb 43.888510 43.888510 43.888510
|
| 383 |
+
peak_gpu_mem_reserved_gb 52.167969 52.167969 52.167969
|
| 384 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 385 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 386 |
+
temp 0.000000 0.000000 0.000000
|
| 387 |
+
power 0.000000 0.000000 0.000000
|
| 388 |
+
util 0.000000 0.000000 0.000000
|
| 389 |
+
clock 0.000000 0.000000 0.000000
|
| 390 |
+
[04-06 12:51:34|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 8400 : iter_speed 25.42 seconds per iteration | Loss: 0.0342
|
| 391 |
+
[04-06 12:51:36|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 392 |
+
Avg Max Min
|
| 393 |
+
cpu_mem_gb 176.245289 176.245289 176.245289
|
| 394 |
+
peak_gpu_mem_gb 43.888510 43.888510 43.888510
|
| 395 |
+
peak_gpu_mem_reserved_gb 52.167969 52.167969 52.167969
|
| 396 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 397 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 398 |
+
temp 0.000000 0.000000 0.000000
|
| 399 |
+
power 0.000000 0.000000 0.000000
|
| 400 |
+
util 0.000000 0.000000 0.000000
|
| 401 |
+
clock 0.000000 0.000000 0.000000
|
| 402 |
+
[04-06 13:33:57|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 8500 : iter_speed 25.43 seconds per iteration | Loss: 0.0086
|
| 403 |
+
[04-06 13:33:59|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 404 |
+
Avg Max Min
|
| 405 |
+
cpu_mem_gb 176.190216 176.190216 176.190216
|
| 406 |
+
peak_gpu_mem_gb 43.888510 43.888510 43.888510
|
| 407 |
+
peak_gpu_mem_reserved_gb 52.167969 52.167969 52.167969
|
| 408 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 409 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 410 |
+
temp 0.000000 0.000000 0.000000
|
| 411 |
+
power 0.000000 0.000000 0.000000
|
| 412 |
+
util 0.000000 0.000000 0.000000
|
| 413 |
+
clock 0.000000 0.000000 0.000000
|
| 414 |
+
[04-06 14:16:18|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 8600 : iter_speed 25.41 seconds per iteration | Loss: 0.0408
|
| 415 |
+
[04-06 14:16:21|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 416 |
+
Avg Max Min
|
| 417 |
+
cpu_mem_gb 176.234592 176.234592 176.234592
|
| 418 |
+
peak_gpu_mem_gb 43.888510 43.888510 43.888510
|
| 419 |
+
peak_gpu_mem_reserved_gb 52.167969 52.167969 52.167969
|
| 420 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 421 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 422 |
+
temp 0.000000 0.000000 0.000000
|
| 423 |
+
power 0.000000 0.000000 0.000000
|
| 424 |
+
util 0.000000 0.000000 0.000000
|
| 425 |
+
clock 0.000000 0.000000 0.000000
|
| 426 |
+
[04-06 14:58:41|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 8700 : iter_speed 25.44 seconds per iteration | Loss: 0.0483
|
| 427 |
+
[04-06 14:58:44|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 428 |
+
Avg Max Min
|
| 429 |
+
cpu_mem_gb 176.310665 176.310665 176.310665
|
| 430 |
+
peak_gpu_mem_gb 43.888510 43.888510 43.888510
|
| 431 |
+
peak_gpu_mem_reserved_gb 52.167969 52.167969 52.167969
|
| 432 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 433 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 434 |
+
temp 0.000000 0.000000 0.000000
|
| 435 |
+
power 0.000000 0.000000 0.000000
|
| 436 |
+
util 0.000000 0.000000 0.000000
|
| 437 |
+
clock 0.000000 0.000000 0.000000
|
| 438 |
+
[04-06 15:41:03|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 8800 : iter_speed 25.41 seconds per iteration | Loss: 0.0652
|
| 439 |
+
[04-06 15:41:23|WARNING|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:70:log_prof_data] Failed to log WandB table: An error occurred while verifying the API key.. Skipping table logging.
|
| 440 |
+
[04-06 15:41:23|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 441 |
+
Avg Max Min
|
| 442 |
+
cpu_mem_gb 176.280094 176.280094 176.280094
|
| 443 |
+
peak_gpu_mem_gb 43.888510 43.888510 43.888510
|
| 444 |
+
peak_gpu_mem_reserved_gb 52.167969 52.167969 52.167969
|
| 445 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 446 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 447 |
+
temp 0.000000 0.000000 0.000000
|
| 448 |
+
power 0.000000 0.000000 0.000000
|
| 449 |
+
util 0.000000 0.000000 0.000000
|
| 450 |
+
clock 0.000000 0.000000 0.000000
|
| 451 |
+
[04-06 16:23:42|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 8900 : iter_speed 25.59 seconds per iteration | Loss: 0.0136
|
| 452 |
+
[04-06 16:23:44|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 453 |
+
Avg Max Min
|
| 454 |
+
cpu_mem_gb 176.188099 176.188099 176.188099
|
| 455 |
+
peak_gpu_mem_gb 43.888510 43.888510 43.888510
|
| 456 |
+
peak_gpu_mem_reserved_gb 52.167969 52.167969 52.167969
|
| 457 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 458 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 459 |
+
temp 0.000000 0.000000 0.000000
|
| 460 |
+
power 0.000000 0.000000 0.000000
|
| 461 |
+
util 0.000000 0.000000 0.000000
|
| 462 |
+
clock 0.000000 0.000000 0.000000
|
| 463 |
+
[04-06 17:06:43|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 9000 : iter_speed 25.81 seconds per iteration | Loss: 0.0305
|
| 464 |
+
[04-06 17:06:45|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 465 |
+
Avg Max Min
|
| 466 |
+
cpu_mem_gb 176.309174 176.309174 176.309174
|
| 467 |
+
peak_gpu_mem_gb 43.888510 43.888510 43.888510
|
| 468 |
+
peak_gpu_mem_reserved_gb 52.167969 52.167969 52.167969
|
| 469 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 470 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 471 |
+
temp 0.000000 0.000000 0.000000
|
| 472 |
+
power 0.000000 0.000000 0.000000
|
| 473 |
+
util 0.000000 0.000000 0.000000
|
| 474 |
+
clock 0.000000 0.000000 0.000000
|
| 475 |
+
[04-06 18:21:30|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 9100 : iter_speed 44.87 seconds per iteration | Loss: 0.0315
|
| 476 |
+
[04-06 18:21:32|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 477 |
+
Avg Max Min
|
| 478 |
+
cpu_mem_gb 176.259922 176.259922 176.259922
|
| 479 |
+
peak_gpu_mem_gb 48.541435 48.541435 48.541435
|
| 480 |
+
peak_gpu_mem_reserved_gb 53.660156 53.660156 53.660156
|
| 481 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 482 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 483 |
+
temp 0.000000 0.000000 0.000000
|
| 484 |
+
power 0.000000 0.000000 0.000000
|
| 485 |
+
util 0.000000 0.000000 0.000000
|
| 486 |
+
clock 0.000000 0.000000 0.000000
|
| 487 |
+
[04-06 19:03:53|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 9200 : iter_speed 25.43 seconds per iteration | Loss: 0.0318
|
| 488 |
+
[04-06 19:03:55|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 489 |
+
Avg Max Min
|
| 490 |
+
cpu_mem_gb 176.243603 176.243603 176.243603
|
| 491 |
+
peak_gpu_mem_gb 43.889700 43.889700 43.889700
|
| 492 |
+
peak_gpu_mem_reserved_gb 51.904297 51.904297 51.904297
|
| 493 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 494 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 495 |
+
temp 0.000000 0.000000 0.000000
|
| 496 |
+
power 0.000000 0.000000 0.000000
|
| 497 |
+
util 0.000000 0.000000 0.000000
|
| 498 |
+
clock 0.000000 0.000000 0.000000
|
| 499 |
+
[04-06 19:46:17|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 9300 : iter_speed 25.44 seconds per iteration | Loss: 0.0912
|
| 500 |
+
[04-06 19:46:19|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 501 |
+
Avg Max Min
|
| 502 |
+
cpu_mem_gb 176.304871 176.304871 176.304871
|
| 503 |
+
peak_gpu_mem_gb 43.889700 43.889700 43.889700
|
| 504 |
+
peak_gpu_mem_reserved_gb 51.904297 51.904297 51.904297
|
| 505 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 506 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 507 |
+
temp 0.000000 0.000000 0.000000
|
| 508 |
+
power 0.000000 0.000000 0.000000
|
| 509 |
+
util 0.000000 0.000000 0.000000
|
| 510 |
+
clock 0.000000 0.000000 0.000000
|
| 511 |
+
[04-06 20:28:39|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 9400 : iter_speed 25.42 seconds per iteration | Loss: 0.0185
|
| 512 |
+
[04-06 20:28:41|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 513 |
+
Avg Max Min
|
| 514 |
+
cpu_mem_gb 176.325790 176.325790 176.325790
|
| 515 |
+
peak_gpu_mem_gb 43.889700 43.889700 43.889700
|
| 516 |
+
peak_gpu_mem_reserved_gb 51.904297 51.904297 51.904297
|
| 517 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 518 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 519 |
+
temp 0.000000 0.000000 0.000000
|
| 520 |
+
power 0.000000 0.000000 0.000000
|
| 521 |
+
util 0.000000 0.000000 0.000000
|
| 522 |
+
clock 0.000000 0.000000 0.000000
|
| 523 |
+
[04-06 21:11:02|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 9500 : iter_speed 25.42 seconds per iteration | Loss: 0.0465
|
| 524 |
+
[04-06 21:11:04|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 525 |
+
Avg Max Min
|
| 526 |
+
cpu_mem_gb 176.144478 176.144478 176.144478
|
| 527 |
+
peak_gpu_mem_gb 43.889700 43.889700 43.889700
|
| 528 |
+
peak_gpu_mem_reserved_gb 51.904297 51.904297 51.904297
|
| 529 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 530 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 531 |
+
temp 0.000000 0.000000 0.000000
|
| 532 |
+
power 0.000000 0.000000 0.000000
|
| 533 |
+
util 0.000000 0.000000 0.000000
|
| 534 |
+
clock 0.000000 0.000000 0.000000
|
| 535 |
+
[04-06 21:53:25|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 9600 : iter_speed 25.43 seconds per iteration | Loss: 0.0240
|
| 536 |
+
[04-06 21:53:27|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 537 |
+
Avg Max Min
|
| 538 |
+
cpu_mem_gb 176.326118 176.326118 176.326118
|
| 539 |
+
peak_gpu_mem_gb 43.889700 43.889700 43.889700
|
| 540 |
+
peak_gpu_mem_reserved_gb 51.904297 51.904297 51.904297
|
| 541 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 542 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 543 |
+
temp 0.000000 0.000000 0.000000
|
| 544 |
+
power 0.000000 0.000000 0.000000
|
| 545 |
+
util 0.000000 0.000000 0.000000
|
| 546 |
+
clock 0.000000 0.000000 0.000000
|
| 547 |
+
[04-06 22:35:47|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 9700 : iter_speed 25.42 seconds per iteration | Loss: 0.0147
|
| 548 |
+
[04-06 22:35:49|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 549 |
+
Avg Max Min
|
| 550 |
+
cpu_mem_gb 176.262333 176.262333 176.262333
|
| 551 |
+
peak_gpu_mem_gb 43.889700 43.889700 43.889700
|
| 552 |
+
peak_gpu_mem_reserved_gb 51.904297 51.904297 51.904297
|
| 553 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 554 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 555 |
+
temp 0.000000 0.000000 0.000000
|
| 556 |
+
power 0.000000 0.000000 0.000000
|
| 557 |
+
util 0.000000 0.000000 0.000000
|
| 558 |
+
clock 0.000000 0.000000 0.000000
|
| 559 |
+
[04-06 23:18:10|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 9800 : iter_speed 25.43 seconds per iteration | Loss: 0.0336
|
| 560 |
+
[04-06 23:18:12|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 561 |
+
Avg Max Min
|
| 562 |
+
cpu_mem_gb 176.204853 176.204853 176.204853
|
| 563 |
+
peak_gpu_mem_gb 43.889700 43.889700 43.889700
|
| 564 |
+
peak_gpu_mem_reserved_gb 51.904297 51.904297 51.904297
|
| 565 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 566 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 567 |
+
temp 0.000000 0.000000 0.000000
|
| 568 |
+
power 0.000000 0.000000 0.000000
|
| 569 |
+
util 0.000000 0.000000 0.000000
|
| 570 |
+
clock 0.000000 0.000000 0.000000
|
| 571 |
+
[04-07 00:00:33|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 9900 : iter_speed 25.43 seconds per iteration | Loss: 0.0343
|
| 572 |
+
[04-07 00:00:35|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 573 |
+
Avg Max Min
|
| 574 |
+
cpu_mem_gb 176.302517 176.302517 176.302517
|
| 575 |
+
peak_gpu_mem_gb 43.889700 43.889700 43.889700
|
| 576 |
+
peak_gpu_mem_reserved_gb 51.904297 51.904297 51.904297
|
| 577 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 578 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 579 |
+
temp 0.000000 0.000000 0.000000
|
| 580 |
+
power 0.000000 0.000000 0.000000
|
| 581 |
+
util 0.000000 0.000000 0.000000
|
| 582 |
+
clock 0.000000 0.000000 0.000000
|
| 583 |
+
[04-07 00:43:34|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 10000 : iter_speed 25.81 seconds per iteration | Loss: 0.0825
|
| 584 |
+
[04-07 00:43:36|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 585 |
+
Avg Max Min
|
| 586 |
+
cpu_mem_gb 176.327625 176.327625 176.327625
|
| 587 |
+
peak_gpu_mem_gb 43.889700 43.889700 43.889700
|
| 588 |
+
peak_gpu_mem_reserved_gb 51.904297 51.904297 51.904297
|
| 589 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 590 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 591 |
+
temp 0.000000 0.000000 0.000000
|
| 592 |
+
power 0.000000 0.000000 0.000000
|
| 593 |
+
util 0.000000 0.000000 0.000000
|
| 594 |
+
clock 0.000000 0.000000 0.000000
|
| 595 |
+
[04-07 01:58:25|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 10100 : iter_speed 44.91 seconds per iteration | Loss: 0.0262
|
| 596 |
+
[04-07 01:58:27|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 597 |
+
Avg Max Min
|
| 598 |
+
cpu_mem_gb 176.318394 176.318394 176.318394
|
| 599 |
+
peak_gpu_mem_gb 48.544385 48.544385 48.544385
|
| 600 |
+
peak_gpu_mem_reserved_gb 53.929688 53.929688 53.929688
|
| 601 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 602 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 603 |
+
temp 0.000000 0.000000 0.000000
|
| 604 |
+
power 0.000000 0.000000 0.000000
|
| 605 |
+
util 0.000000 0.000000 0.000000
|
| 606 |
+
clock 0.000000 0.000000 0.000000
|
| 607 |
+
[04-07 02:40:47|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 10200 : iter_speed 25.42 seconds per iteration | Loss: 0.0250
|
| 608 |
+
[04-07 02:40:49|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 609 |
+
Avg Max Min
|
| 610 |
+
cpu_mem_gb 176.407917 176.407917 176.407917
|
| 611 |
+
peak_gpu_mem_gb 43.888906 43.888906 43.888906
|
| 612 |
+
peak_gpu_mem_reserved_gb 52.240234 52.240234 52.240234
|
| 613 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 614 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 615 |
+
temp 0.000000 0.000000 0.000000
|
| 616 |
+
power 0.000000 0.000000 0.000000
|
| 617 |
+
util 0.000000 0.000000 0.000000
|
| 618 |
+
clock 0.000000 0.000000 0.000000
|
| 619 |
+
[04-07 03:23:10|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 10300 : iter_speed 25.42 seconds per iteration | Loss: 0.0299
|
| 620 |
+
[04-07 03:23:12|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 621 |
+
Avg Max Min
|
| 622 |
+
cpu_mem_gb 176.353348 176.353348 176.353348
|
| 623 |
+
peak_gpu_mem_gb 43.888906 43.888906 43.888906
|
| 624 |
+
peak_gpu_mem_reserved_gb 52.240234 52.240234 52.240234
|
| 625 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 626 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 627 |
+
temp 0.000000 0.000000 0.000000
|
| 628 |
+
power 0.000000 0.000000 0.000000
|
| 629 |
+
util 0.000000 0.000000 0.000000
|
| 630 |
+
clock 0.000000 0.000000 0.000000
|
| 631 |
+
[04-07 04:05:33|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 10400 : iter_speed 25.44 seconds per iteration | Loss: 0.0275
|
| 632 |
+
[04-07 04:05:36|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 633 |
+
Avg Max Min
|
| 634 |
+
cpu_mem_gb 176.291641 176.291641 176.291641
|
| 635 |
+
peak_gpu_mem_gb 43.888906 43.888906 43.888906
|
| 636 |
+
peak_gpu_mem_reserved_gb 52.240234 52.240234 52.240234
|
| 637 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 638 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 639 |
+
temp 0.000000 0.000000 0.000000
|
| 640 |
+
power 0.000000 0.000000 0.000000
|
| 641 |
+
util 0.000000 0.000000 0.000000
|
| 642 |
+
clock 0.000000 0.000000 0.000000
|
| 643 |
+
[04-07 04:47:57|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 10500 : iter_speed 25.43 seconds per iteration | Loss: 0.0790
|
| 644 |
+
[04-07 04:47:59|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 645 |
+
Avg Max Min
|
| 646 |
+
cpu_mem_gb 176.390236 176.390236 176.390236
|
| 647 |
+
peak_gpu_mem_gb 43.888906 43.888906 43.888906
|
| 648 |
+
peak_gpu_mem_reserved_gb 52.240234 52.240234 52.240234
|
| 649 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 650 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 651 |
+
temp 0.000000 0.000000 0.000000
|
| 652 |
+
power 0.000000 0.000000 0.000000
|
| 653 |
+
util 0.000000 0.000000 0.000000
|
| 654 |
+
clock 0.000000 0.000000 0.000000
|
| 655 |
+
[04-07 05:30:21|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 10600 : iter_speed 25.44 seconds per iteration | Loss: 0.0195
|
| 656 |
+
[04-07 05:30:23|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 657 |
+
Avg Max Min
|
| 658 |
+
cpu_mem_gb 176.329895 176.329895 176.329895
|
| 659 |
+
peak_gpu_mem_gb 43.888906 43.888906 43.888906
|
| 660 |
+
peak_gpu_mem_reserved_gb 52.240234 52.240234 52.240234
|
| 661 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 662 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 663 |
+
temp 0.000000 0.000000 0.000000
|
| 664 |
+
power 0.000000 0.000000 0.000000
|
| 665 |
+
util 0.000000 0.000000 0.000000
|
| 666 |
+
clock 0.000000 0.000000 0.000000
|
| 667 |
+
[04-07 06:12:43|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 10700 : iter_speed 25.43 seconds per iteration | Loss: 0.1718
|
| 668 |
+
[04-07 06:12:45|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 669 |
+
Avg Max Min
|
| 670 |
+
cpu_mem_gb 176.328232 176.328232 176.328232
|
| 671 |
+
peak_gpu_mem_gb 43.888906 43.888906 43.888906
|
| 672 |
+
peak_gpu_mem_reserved_gb 52.240234 52.240234 52.240234
|
| 673 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 674 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 675 |
+
temp 0.000000 0.000000 0.000000
|
| 676 |
+
power 0.000000 0.000000 0.000000
|
| 677 |
+
util 0.000000 0.000000 0.000000
|
| 678 |
+
clock 0.000000 0.000000 0.000000
|
| 679 |
+
[04-07 06:55:07|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 10800 : iter_speed 25.44 seconds per iteration | Loss: 0.0215
|
| 680 |
+
[04-07 06:55:09|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 681 |
+
Avg Max Min
|
| 682 |
+
cpu_mem_gb 176.478176 176.478176 176.478176
|
| 683 |
+
peak_gpu_mem_gb 43.888906 43.888906 43.888906
|
| 684 |
+
peak_gpu_mem_reserved_gb 52.240234 52.240234 52.240234
|
| 685 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 686 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 687 |
+
temp 0.000000 0.000000 0.000000
|
| 688 |
+
power 0.000000 0.000000 0.000000
|
| 689 |
+
util 0.000000 0.000000 0.000000
|
| 690 |
+
clock 0.000000 0.000000 0.000000
|
| 691 |
+
[04-07 07:37:30|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 10900 : iter_speed 25.43 seconds per iteration | Loss: 0.0167
|
| 692 |
+
[04-07 07:37:32|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 693 |
+
Avg Max Min
|
| 694 |
+
cpu_mem_gb 176.390263 176.390263 176.390263
|
| 695 |
+
peak_gpu_mem_gb 43.888906 43.888906 43.888906
|
| 696 |
+
peak_gpu_mem_reserved_gb 52.240234 52.240234 52.240234
|
| 697 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 698 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 699 |
+
temp 0.000000 0.000000 0.000000
|
| 700 |
+
power 0.000000 0.000000 0.000000
|
| 701 |
+
util 0.000000 0.000000 0.000000
|
| 702 |
+
clock 0.000000 0.000000 0.000000
|
| 703 |
+
[04-07 08:20:30|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 11000 : iter_speed 25.80 seconds per iteration | Loss: 0.0138
|
| 704 |
+
[04-07 08:20:33|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 705 |
+
Avg Max Min
|
| 706 |
+
cpu_mem_gb 176.417828 176.417828 176.417828
|
| 707 |
+
peak_gpu_mem_gb 43.888906 43.888906 43.888906
|
| 708 |
+
peak_gpu_mem_reserved_gb 52.240234 52.240234 52.240234
|
| 709 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 710 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 711 |
+
temp 0.000000 0.000000 0.000000
|
| 712 |
+
power 0.000000 0.000000 0.000000
|
| 713 |
+
util 0.000000 0.000000 0.000000
|
| 714 |
+
clock 0.000000 0.000000 0.000000
|
| 715 |
+
[04-07 09:35:20|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 11100 : iter_speed 44.90 seconds per iteration | Loss: 0.0431
|
| 716 |
+
[04-07 09:35:22|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 717 |
+
Avg Max Min
|
| 718 |
+
cpu_mem_gb 176.389336 176.389336 176.389336
|
| 719 |
+
peak_gpu_mem_gb 48.541913 48.541913 48.541913
|
| 720 |
+
peak_gpu_mem_reserved_gb 53.654297 53.654297 53.654297
|
| 721 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 722 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 723 |
+
temp 0.000000 0.000000 0.000000
|
| 724 |
+
power 0.000000 0.000000 0.000000
|
| 725 |
+
util 0.000000 0.000000 0.000000
|
| 726 |
+
clock 0.000000 0.000000 0.000000
|
| 727 |
+
[04-07 10:17:43|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 11200 : iter_speed 25.44 seconds per iteration | Loss: 0.0175
|
| 728 |
+
[04-07 10:17:46|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 729 |
+
Avg Max Min
|
| 730 |
+
cpu_mem_gb 176.272110 176.272110 176.272110
|
| 731 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 732 |
+
peak_gpu_mem_reserved_gb 51.980469 51.980469 51.980469
|
| 733 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 734 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 735 |
+
temp 0.000000 0.000000 0.000000
|
| 736 |
+
power 0.000000 0.000000 0.000000
|
| 737 |
+
util 0.000000 0.000000 0.000000
|
| 738 |
+
clock 0.000000 0.000000 0.000000
|
| 739 |
+
[04-07 11:00:06|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 11300 : iter_speed 25.43 seconds per iteration | Loss: 0.0291
|
| 740 |
+
[04-07 11:00:08|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 741 |
+
Avg Max Min
|
| 742 |
+
cpu_mem_gb 176.392323 176.392323 176.392323
|
| 743 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 744 |
+
peak_gpu_mem_reserved_gb 51.980469 51.980469 51.980469
|
| 745 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 746 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 747 |
+
temp 0.000000 0.000000 0.000000
|
| 748 |
+
power 0.000000 0.000000 0.000000
|
| 749 |
+
util 0.000000 0.000000 0.000000
|
| 750 |
+
clock 0.000000 0.000000 0.000000
|
| 751 |
+
[04-07 11:42:31|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 11400 : iter_speed 25.45 seconds per iteration | Loss: 0.0264
|
| 752 |
+
[04-07 11:42:33|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 753 |
+
Avg Max Min
|
| 754 |
+
cpu_mem_gb 176.509270 176.509270 176.509270
|
| 755 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 756 |
+
peak_gpu_mem_reserved_gb 51.980469 51.980469 51.980469
|
| 757 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 758 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 759 |
+
temp 0.000000 0.000000 0.000000
|
| 760 |
+
power 0.000000 0.000000 0.000000
|
| 761 |
+
util 0.000000 0.000000 0.000000
|
| 762 |
+
clock 0.000000 0.000000 0.000000
|
| 763 |
+
[04-07 12:24:53|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 11500 : iter_speed 25.43 seconds per iteration | Loss: 0.0492
|
| 764 |
+
[04-07 12:24:56|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 765 |
+
Avg Max Min
|
| 766 |
+
cpu_mem_gb 176.391216 176.391216 176.391216
|
| 767 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 768 |
+
peak_gpu_mem_reserved_gb 51.980469 51.980469 51.980469
|
| 769 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 770 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 771 |
+
temp 0.000000 0.000000 0.000000
|
| 772 |
+
power 0.000000 0.000000 0.000000
|
| 773 |
+
util 0.000000 0.000000 0.000000
|
| 774 |
+
clock 0.000000 0.000000 0.000000
|
| 775 |
+
[04-07 13:07:16|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 11600 : iter_speed 25.43 seconds per iteration | Loss: 0.0172
|
| 776 |
+
[04-07 13:07:19|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 777 |
+
Avg Max Min
|
| 778 |
+
cpu_mem_gb 176.337509 176.337509 176.337509
|
| 779 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 780 |
+
peak_gpu_mem_reserved_gb 51.980469 51.980469 51.980469
|
| 781 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 782 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 783 |
+
temp 0.000000 0.000000 0.000000
|
| 784 |
+
power 0.000000 0.000000 0.000000
|
| 785 |
+
util 0.000000 0.000000 0.000000
|
| 786 |
+
clock 0.000000 0.000000 0.000000
|
| 787 |
+
[04-07 13:49:40|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 11700 : iter_speed 25.43 seconds per iteration | Loss: 0.0509
|
| 788 |
+
[04-07 13:49:42|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 789 |
+
Avg Max Min
|
| 790 |
+
cpu_mem_gb 176.209442 176.209442 176.209442
|
| 791 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 792 |
+
peak_gpu_mem_reserved_gb 51.980469 51.980469 51.980469
|
| 793 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 794 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 795 |
+
temp 0.000000 0.000000 0.000000
|
| 796 |
+
power 0.000000 0.000000 0.000000
|
| 797 |
+
util 0.000000 0.000000 0.000000
|
| 798 |
+
clock 0.000000 0.000000 0.000000
|
| 799 |
+
[04-07 14:32:03|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 11800 : iter_speed 25.43 seconds per iteration | Loss: 0.0240
|
| 800 |
+
[04-07 14:32:05|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 801 |
+
Avg Max Min
|
| 802 |
+
cpu_mem_gb 176.402576 176.402576 176.402576
|
| 803 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 804 |
+
peak_gpu_mem_reserved_gb 51.980469 51.980469 51.980469
|
| 805 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 806 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 807 |
+
temp 0.000000 0.000000 0.000000
|
| 808 |
+
power 0.000000 0.000000 0.000000
|
| 809 |
+
util 0.000000 0.000000 0.000000
|
| 810 |
+
clock 0.000000 0.000000 0.000000
|
| 811 |
+
[04-07 15:14:27|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 11900 : iter_speed 25.44 seconds per iteration | Loss: 0.0249
|
| 812 |
+
[04-07 15:14:29|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 813 |
+
Avg Max Min
|
| 814 |
+
cpu_mem_gb 176.451561 176.451561 176.451561
|
| 815 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 816 |
+
peak_gpu_mem_reserved_gb 51.980469 51.980469 51.980469
|
| 817 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 818 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 819 |
+
temp 0.000000 0.000000 0.000000
|
| 820 |
+
power 0.000000 0.000000 0.000000
|
| 821 |
+
util 0.000000 0.000000 0.000000
|
| 822 |
+
clock 0.000000 0.000000 0.000000
|
| 823 |
+
[04-07 15:57:26|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 12000 : iter_speed 25.79 seconds per iteration | Loss: 0.0265
|
| 824 |
+
[04-07 15:57:28|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 825 |
+
Avg Max Min
|
| 826 |
+
cpu_mem_gb 176.266151 176.266151 176.266151
|
| 827 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 828 |
+
peak_gpu_mem_reserved_gb 51.980469 51.980469 51.980469
|
| 829 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 830 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 831 |
+
temp 0.000000 0.000000 0.000000
|
| 832 |
+
power 0.000000 0.000000 0.000000
|
| 833 |
+
util 0.000000 0.000000 0.000000
|
| 834 |
+
clock 0.000000 0.000000 0.000000
|
| 835 |
+
[04-07 17:12:18|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 12100 : iter_speed 44.92 seconds per iteration | Loss: 0.0299
|
| 836 |
+
[04-07 17:12:20|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 837 |
+
Avg Max Min
|
| 838 |
+
cpu_mem_gb 176.331203 176.331203 176.331203
|
| 839 |
+
peak_gpu_mem_gb 48.540623 48.540623 48.540623
|
| 840 |
+
peak_gpu_mem_reserved_gb 53.718750 53.718750 53.718750
|
| 841 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 842 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 843 |
+
temp 0.000000 0.000000 0.000000
|
| 844 |
+
power 0.000000 0.000000 0.000000
|
| 845 |
+
util 0.000000 0.000000 0.000000
|
| 846 |
+
clock 0.000000 0.000000 0.000000
|
| 847 |
+
[04-07 17:54:41|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 12200 : iter_speed 25.43 seconds per iteration | Loss: 0.0317
|
| 848 |
+
[04-07 17:54:43|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 849 |
+
Avg Max Min
|
| 850 |
+
cpu_mem_gb 176.212116 176.212116 176.212116
|
| 851 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 852 |
+
peak_gpu_mem_reserved_gb 52.146484 52.146484 52.146484
|
| 853 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 854 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 855 |
+
temp 0.000000 0.000000 0.000000
|
| 856 |
+
power 0.000000 0.000000 0.000000
|
| 857 |
+
util 0.000000 0.000000 0.000000
|
| 858 |
+
clock 0.000000 0.000000 0.000000
|
| 859 |
+
[04-07 18:37:03|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 12300 : iter_speed 25.42 seconds per iteration | Loss: 0.0776
|
| 860 |
+
[04-07 18:37:05|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 861 |
+
Avg Max Min
|
| 862 |
+
cpu_mem_gb 176.149670 176.149670 176.149670
|
| 863 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 864 |
+
peak_gpu_mem_reserved_gb 52.146484 52.146484 52.146484
|
| 865 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 866 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 867 |
+
temp 0.000000 0.000000 0.000000
|
| 868 |
+
power 0.000000 0.000000 0.000000
|
| 869 |
+
util 0.000000 0.000000 0.000000
|
| 870 |
+
clock 0.000000 0.000000 0.000000
|
| 871 |
+
[04-07 19:19:26|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 12400 : iter_speed 25.42 seconds per iteration | Loss: 0.0857
|
| 872 |
+
[04-07 19:19:29|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 873 |
+
Avg Max Min
|
| 874 |
+
cpu_mem_gb 176.271828 176.271828 176.271828
|
| 875 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 876 |
+
peak_gpu_mem_reserved_gb 52.146484 52.146484 52.146484
|
| 877 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 878 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 879 |
+
temp 0.000000 0.000000 0.000000
|
| 880 |
+
power 0.000000 0.000000 0.000000
|
| 881 |
+
util 0.000000 0.000000 0.000000
|
| 882 |
+
clock 0.000000 0.000000 0.000000
|
| 883 |
+
[04-07 20:01:50|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 12500 : iter_speed 25.45 seconds per iteration | Loss: 0.0379
|
| 884 |
+
[04-07 20:01:53|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 885 |
+
Avg Max Min
|
| 886 |
+
cpu_mem_gb 176.330765 176.330765 176.330765
|
| 887 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 888 |
+
peak_gpu_mem_reserved_gb 52.146484 52.146484 52.146484
|
| 889 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 890 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 891 |
+
temp 0.000000 0.000000 0.000000
|
| 892 |
+
power 0.000000 0.000000 0.000000
|
| 893 |
+
util 0.000000 0.000000 0.000000
|
| 894 |
+
clock 0.000000 0.000000 0.000000
|
| 895 |
+
[04-07 20:44:13|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 12600 : iter_speed 25.42 seconds per iteration | Loss: 0.0182
|
| 896 |
+
[04-07 20:44:15|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 897 |
+
Avg Max Min
|
| 898 |
+
cpu_mem_gb 176.211082 176.211082 176.211082
|
| 899 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 900 |
+
peak_gpu_mem_reserved_gb 52.146484 52.146484 52.146484
|
| 901 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 902 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 903 |
+
temp 0.000000 0.000000 0.000000
|
| 904 |
+
power 0.000000 0.000000 0.000000
|
| 905 |
+
util 0.000000 0.000000 0.000000
|
| 906 |
+
clock 0.000000 0.000000 0.000000
|
| 907 |
+
[04-07 21:26:36|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 12700 : iter_speed 25.44 seconds per iteration | Loss: 0.2010
|
| 908 |
+
[04-07 21:26:39|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 909 |
+
Avg Max Min
|
| 910 |
+
cpu_mem_gb 176.284332 176.284332 176.284332
|
| 911 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 912 |
+
peak_gpu_mem_reserved_gb 52.146484 52.146484 52.146484
|
| 913 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 914 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 915 |
+
temp 0.000000 0.000000 0.000000
|
| 916 |
+
power 0.000000 0.000000 0.000000
|
| 917 |
+
util 0.000000 0.000000 0.000000
|
| 918 |
+
clock 0.000000 0.000000 0.000000
|
| 919 |
+
[04-07 22:08:59|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 12800 : iter_speed 25.43 seconds per iteration | Loss: 0.0163
|
| 920 |
+
[04-07 22:09:01|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 921 |
+
Avg Max Min
|
| 922 |
+
cpu_mem_gb 176.210312 176.210312 176.210312
|
| 923 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 924 |
+
peak_gpu_mem_reserved_gb 52.146484 52.146484 52.146484
|
| 925 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 926 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 927 |
+
temp 0.000000 0.000000 0.000000
|
| 928 |
+
power 0.000000 0.000000 0.000000
|
| 929 |
+
util 0.000000 0.000000 0.000000
|
| 930 |
+
clock 0.000000 0.000000 0.000000
|
| 931 |
+
[04-07 22:51:23|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 12900 : iter_speed 25.44 seconds per iteration | Loss: 0.0410
|
| 932 |
+
[04-07 22:51:25|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 933 |
+
Avg Max Min
|
| 934 |
+
cpu_mem_gb 176.386238 176.386238 176.386238
|
| 935 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 936 |
+
peak_gpu_mem_reserved_gb 52.146484 52.146484 52.146484
|
| 937 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 938 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 939 |
+
temp 0.000000 0.000000 0.000000
|
| 940 |
+
power 0.000000 0.000000 0.000000
|
| 941 |
+
util 0.000000 0.000000 0.000000
|
| 942 |
+
clock 0.000000 0.000000 0.000000
|
| 943 |
+
[04-07 23:34:25|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 13000 : iter_speed 25.82 seconds per iteration | Loss: 0.0622
|
| 944 |
+
[04-07 23:34:27|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 945 |
+
Avg Max Min
|
| 946 |
+
cpu_mem_gb 176.274097 176.274097 176.274097
|
| 947 |
+
peak_gpu_mem_gb 43.888113 43.888113 43.888113
|
| 948 |
+
peak_gpu_mem_reserved_gb 52.146484 52.146484 52.146484
|
| 949 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 950 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 951 |
+
temp 0.000000 0.000000 0.000000
|
| 952 |
+
power 0.000000 0.000000 0.000000
|
| 953 |
+
util 0.000000 0.000000 0.000000
|
| 954 |
+
clock 0.000000 0.000000 0.000000
|
| 955 |
+
[04-08 00:49:18|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 13100 : iter_speed 44.94 seconds per iteration | Loss: 0.0159
|
| 956 |
+
[04-08 00:49:20|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 957 |
+
Avg Max Min
|
| 958 |
+
cpu_mem_gb 176.271568 176.271568 176.271568
|
| 959 |
+
peak_gpu_mem_gb 48.540330 48.540330 48.540330
|
| 960 |
+
peak_gpu_mem_reserved_gb 54.171875 54.171875 54.171875
|
| 961 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 962 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 963 |
+
temp 0.000000 0.000000 0.000000
|
| 964 |
+
power 0.000000 0.000000 0.000000
|
| 965 |
+
util 0.000000 0.000000 0.000000
|
| 966 |
+
clock 0.000000 0.000000 0.000000
|
| 967 |
+
[04-08 01:31:45|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 13200 : iter_speed 25.47 seconds per iteration | Loss: 0.0305
|
| 968 |
+
[04-08 01:31:47|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 969 |
+
Avg Max Min
|
| 970 |
+
cpu_mem_gb 176.408382 176.408382 176.408382
|
| 971 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 972 |
+
peak_gpu_mem_reserved_gb 54.171875 54.171875 54.171875
|
| 973 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 974 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 975 |
+
temp 0.000000 0.000000 0.000000
|
| 976 |
+
power 0.000000 0.000000 0.000000
|
| 977 |
+
util 0.000000 0.000000 0.000000
|
| 978 |
+
clock 0.000000 0.000000 0.000000
|
| 979 |
+
[04-08 02:14:14|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 13300 : iter_speed 25.48 seconds per iteration | Loss: 0.0289
|
| 980 |
+
[04-08 02:14:16|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 981 |
+
Avg Max Min
|
| 982 |
+
cpu_mem_gb 176.091404 176.091404 176.091404
|
| 983 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 984 |
+
peak_gpu_mem_reserved_gb 54.171875 54.171875 54.171875
|
| 985 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 986 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 987 |
+
temp 0.000000 0.000000 0.000000
|
| 988 |
+
power 0.000000 0.000000 0.000000
|
| 989 |
+
util 0.000000 0.000000 0.000000
|
| 990 |
+
clock 0.000000 0.000000 0.000000
|
| 991 |
+
[04-08 02:56:41|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 13400 : iter_speed 25.48 seconds per iteration | Loss: 0.0221
|
| 992 |
+
[04-08 02:56:43|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 993 |
+
Avg Max Min
|
| 994 |
+
cpu_mem_gb 176.214176 176.214176 176.214176
|
| 995 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 996 |
+
peak_gpu_mem_reserved_gb 54.171875 54.171875 54.171875
|
| 997 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 998 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 999 |
+
temp 0.000000 0.000000 0.000000
|
| 1000 |
+
power 0.000000 0.000000 0.000000
|
| 1001 |
+
util 0.000000 0.000000 0.000000
|
| 1002 |
+
clock 0.000000 0.000000 0.000000
|
| 1003 |
+
[04-08 03:39:10|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 13500 : iter_speed 25.48 seconds per iteration | Loss: 0.0229
|
| 1004 |
+
[04-08 03:39:12|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 1005 |
+
Avg Max Min
|
| 1006 |
+
cpu_mem_gb 176.151859 176.151859 176.151859
|
| 1007 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 1008 |
+
peak_gpu_mem_reserved_gb 54.171875 54.171875 54.171875
|
| 1009 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 1010 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 1011 |
+
temp 0.000000 0.000000 0.000000
|
| 1012 |
+
power 0.000000 0.000000 0.000000
|
| 1013 |
+
util 0.000000 0.000000 0.000000
|
| 1014 |
+
clock 0.000000 0.000000 0.000000
|
| 1015 |
+
[04-08 04:21:37|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 13600 : iter_speed 25.47 seconds per iteration | Loss: 0.0306
|
| 1016 |
+
[04-08 04:21:39|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 1017 |
+
Avg Max Min
|
| 1018 |
+
cpu_mem_gb 176.272129 176.272129 176.272129
|
| 1019 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 1020 |
+
peak_gpu_mem_reserved_gb 54.171875 54.171875 54.171875
|
| 1021 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 1022 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 1023 |
+
temp 0.000000 0.000000 0.000000
|
| 1024 |
+
power 0.000000 0.000000 0.000000
|
| 1025 |
+
util 0.000000 0.000000 0.000000
|
| 1026 |
+
clock 0.000000 0.000000 0.000000
|
| 1027 |
+
[04-08 05:04:05|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 13700 : iter_speed 25.49 seconds per iteration | Loss: 0.0458
|
| 1028 |
+
[04-08 05:04:08|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 1029 |
+
Avg Max Min
|
| 1030 |
+
cpu_mem_gb 176.272282 176.272282 176.272282
|
| 1031 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 1032 |
+
peak_gpu_mem_reserved_gb 54.171875 54.171875 54.171875
|
| 1033 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 1034 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 1035 |
+
temp 0.000000 0.000000 0.000000
|
| 1036 |
+
power 0.000000 0.000000 0.000000
|
| 1037 |
+
util 0.000000 0.000000 0.000000
|
| 1038 |
+
clock 0.000000 0.000000 0.000000
|
| 1039 |
+
[04-08 05:46:32|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 13800 : iter_speed 25.47 seconds per iteration | Loss: 0.0224
|
| 1040 |
+
[04-08 05:46:34|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 1041 |
+
Avg Max Min
|
| 1042 |
+
cpu_mem_gb 176.245178 176.245178 176.245178
|
| 1043 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 1044 |
+
peak_gpu_mem_reserved_gb 54.171875 54.171875 54.171875
|
| 1045 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 1046 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 1047 |
+
temp 0.000000 0.000000 0.000000
|
| 1048 |
+
power 0.000000 0.000000 0.000000
|
| 1049 |
+
util 0.000000 0.000000 0.000000
|
| 1050 |
+
clock 0.000000 0.000000 0.000000
|
| 1051 |
+
[04-08 06:29:00|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 13900 : iter_speed 25.47 seconds per iteration | Loss: 0.0563
|
| 1052 |
+
[04-08 06:29:02|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 1053 |
+
Avg Max Min
|
| 1054 |
+
cpu_mem_gb 176.272881 176.272881 176.272881
|
| 1055 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 1056 |
+
peak_gpu_mem_reserved_gb 54.171875 54.171875 54.171875
|
| 1057 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 1058 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 1059 |
+
temp 0.000000 0.000000 0.000000
|
| 1060 |
+
power 0.000000 0.000000 0.000000
|
| 1061 |
+
util 0.000000 0.000000 0.000000
|
| 1062 |
+
clock 0.000000 0.000000 0.000000
|
| 1063 |
+
[04-08 07:12:07|INFO|cosmos_predict2/_src/predict2/callbacks/iter_speed.py:86:every_n_impl] 14000 : iter_speed 25.87 seconds per iteration | Loss: 0.0453
|
| 1064 |
+
[04-08 07:12:09|INFO|cosmos_predict2/_src/predict2/callbacks/device_monitor.py:199:every_n_impl] DeviceMonitor Stats:
|
| 1065 |
+
Avg Max Min
|
| 1066 |
+
cpu_mem_gb 176.276440 176.276440 176.276440
|
| 1067 |
+
peak_gpu_mem_gb 43.889303 43.889303 43.889303
|
| 1068 |
+
peak_gpu_mem_reserved_gb 54.171875 54.171875 54.171875
|
| 1069 |
+
nvml_used_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 1070 |
+
nvml_free_gpu_mem_gb 0.000000 0.000000 0.000000
|
| 1071 |
+
temp 0.000000 0.000000 0.000000
|
| 1072 |
+
power 0.000000 0.000000 0.000000
|
| 1073 |
+
util 0.000000 0.000000 0.000000
|
| 1074 |
+
clock 0.000000 0.000000 0.000000
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/debug.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4c5bb5be60da992fdfb8569fa98b6ceb90328ded80aa1bb1febf5fbde770a8e0
|
| 3 |
+
size 15123047
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/job_env.yaml
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
PWD: /vast/users/tianyu.wang/anv_workspace/ViewPlan/cosmos-predict2.5-main
|
| 2 |
+
SLURM_JOB_USER: tianyu.wang
|
| 3 |
+
SLURM_JOB_PARTITION: faculty
|
| 4 |
+
SLURM_JOBID: '39934'
|
| 5 |
+
SLURM_NNODES: '1'
|
| 6 |
+
SLURM_JOB_NAME: bash
|
| 7 |
+
SLURM_JOB_NODELIST: auh7-1b-gpu-200
|
| 8 |
+
SLURMD_NODENAME: auh7-1b-gpu-200
|
| 9 |
+
job_local_path: /vast/users/tianyu.wang/anv_workspace/ViewPlan/cosmos-predict2.5-main/cosmos_predict_v2p5/video2world/2b_groot_gr1_480
|
| 10 |
+
s3: s3://bucket/cosmos_predict_v2p5/video2world/2b_groot_gr1_480/
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/launch_info.yaml
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
cmd: /vast/users/tianyu.wang/anv_workspace/ViewPlan/cosmos-predict2.5-main/scripts/train.py
|
| 2 |
+
--config=cosmos_predict2/_src/predict2/configs/video2world/config.py -- experiment=predict2_video2world_training_2b_groot_gr1_480
|
| 3 |
+
args_cfg_path: cosmos_predict2/_src/predict2/configs/video2world/config.py
|
| 4 |
+
args_override:
|
| 5 |
+
- --
|
| 6 |
+
- experiment=predict2_video2world_training_2b_groot_gr1_480
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/wandb/debug.log
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2026-04-05 11:02:04,317 INFO MainThread:814053 [wandb_init.py:setup_run_log_directory():705] Logging user logs to /vast/users/tianyu.wang/anv_workspace/ViewPlan/cosmos-predict2.5-main/cosmos_predict_v2p5/video2world/2b_groot_gr1_480/wandb/run-20260405_110204-89aris5o/logs/debug.log
|
| 2 |
+
2026-04-05 11:02:04,317 INFO MainThread:814053 [wandb_init.py:setup_run_log_directory():706] Logging internal logs to /vast/users/tianyu.wang/anv_workspace/ViewPlan/cosmos-predict2.5-main/cosmos_predict_v2p5/video2world/2b_groot_gr1_480/wandb/run-20260405_110204-89aris5o/logs/debug-internal.log
|
| 3 |
+
2026-04-05 11:02:04,317 INFO MainThread:814053 [wandb_init.py:init():832] calling init triggers
|
| 4 |
+
2026-04-05 11:02:04,317 INFO MainThread:814053 [wandb_init.py:init():837] wandb.init called with sweep_config: {}
|
| 5 |
+
config: {'checkpoint': {'broadcast_via_filesystem': 'False', 'dcp_async_mode_enabled': 'False', 'enable_gcs_patch_in_boto3': 'False', 'jit': {'device': 'cuda', 'dtype': 'bfloat16', 'enabled': 'False', 'input_shape': None, 'strict': 'True'}, 'keys_not_to_resume': [], 'keys_to_skip_loading': [], 'load_ema_to_reg': 'False', 'load_from_object_store': {'bucket': 'bucket', 'credentials': 'credentials/s3_checkpoint.secret', 'enabled': 'False'}, 'load_path': 's3://bucket/cosmos_diffusion_v2/official_runs_vid2vid/Stage-c_pt_4-reason_embeddings-v1p1-Index-26-Size-2B-Res-720-Fps-16-Note-T2V_high_sigma_loss_reweighted_1_1_rectified_flow_only_resume2/checkpoints/iter_000023000', 'load_training_state': 'False', 'only_load_scheduler_state': 'False', 'save_iter': '1000', 'save_to_object_store': {'bucket': 'bucket', 'credentials': 'credentials/s3_checkpoint.secret', 'enabled': 'False'}, 'strict_resume': 'True', 'type': {'_target_': "<class 'cosmos_predict2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>", 'callbacks': None, 'disable_async': 'False'}, 'verbose': 'True'}, 'dataloader_train': {'_target_': '<function get_generic_dataloader at 0x7feec33127a0>', 'batch_size': '1', 'collate_fn': None, 'dataloaders': {'image_data': {'dataloader': {'_target_': '<function get_cached_replay_dataloader at 0x7feecbf89990>', 'batch_size': '12', 'cache_augment_fn': 'functools.partial(<function duplicate_batches at 0x7feecbf88ca0>, n=1)', 'cache_replay_name': 'image_dataloader', 'cache_size': '8', 'concat_size': '1', 'dataset': {'_target_': '<function get_image_dataset at 0x7feecbf89b40>', 'augmentor_name': 'image_basic_augmentor_without_embeddings', 'caption_type': 'qwen2p5_7b_v4', 'dataset_resolution_type': 'gt720p', 'embedding_type': None, 'len_t5': '512', 'resolution': '720', 't5_dim': '1024'}, 'num_workers': '6', 'pin_memory': 'True', 'shuffle': 'False', 'use_cache': 'False', 'webdataset': 'False'}, 'ratio': '1'}, 'video_data': {'dataloader': {'_target_': '<function get_cached_replay_dataloader at 0x7feecbf89990>', 'batch_size': '1', 'cache_augment_fn': 'functools.partial(<function duplicate_batches_random at 0x7feecbf89360>, n=1.8)', 'cache_replay_name': 'video_dataloader', 'cache_size': '16', 'concat_size': '1', 'dataset': {'_target_': '<function get_video_dataset at 0x7feecbf8a3b0>', 'augmentor_name': 'video_basic_augmentor_v2', 'caption_type': 't2w_qwen2p5_7b', 'dataset_resolution_type': 'all', 'embedding_type': None, 'len_t5': '512', 'max_fps_thres': '60', 'min_fps_thres': '10', 'num_video_frames': '93', 'resolution': '720', 't5_dim': '1024', 'use_native_fps': 'True', 'video_decoder_name': 'video_naive_bytes'}, 'num_workers': '8', 'pin_memory': 'True', 'shuffle': 'False', 'use_cache': 'False', 'webdataset': 'False'}, 'ratio': '3'}}, 'dataset': {'_target_': "<class 'cosmos_predict2._src.predict2.datasets.local_datasets.dataset_video.VideoDataset'>", 'caption_format': 'auto', 'dataset_dir': 'datasets/robocasa365', 'num_frames': '93', 'prompt_type': None, 'video_paths': None, 'video_size': ['432', '768']}, 'drop_last': 'True', 'num_workers': '4', 'persistent_workers': 'False', 'pin_memory': 'True', 'prefetch_factor': None, 'sampler': {'_target_': '<function get_sampler at 0x7feec1714310>', 'dataset': {'_target_': "<class 'cosmos_predict2._src.predict2.datasets.local_datasets.dataset_video.VideoDataset'>", 'caption_format': 'auto', 'dataset_dir': 'datasets/robocasa365', 'num_frames': '93', 'prompt_type': None, 'video_paths': None, 'video_size': ['432', '768']}}}, 'dataloader_val': {'_target_': "<class 'cosmos_predict2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>", 'dataloaders': {'image_data': {'dataloader': {'_target_': '<function get_cached_replay_dataloader at 0x7feecbf89990>', 'batch_size': '2', 'cache_augment_fn': None, 'cache_replay_name': 'image_dataloader', 'cache_size': '32', 'concat_size': '1', 'dataset': {'_target_': '<function get_image_dataset at 0x7feecbf89b40>', 'len_t5': '512', 'resolution': '512', 't5_dim': '1024'}, 'num_workers': '8', 'pin_memory': 'True', 'shuffle': 'False', 'use_cache': 'False', 'webdataset': 'False'}, 'ratio': '1'}, 'video_data': {'dataloader': {'_target_': '<function get_cached_replay_dataloader at 0x7feecbf89990>', 'batch_size': '1', 'cache_augment_fn': None, 'cache_replay_name': 'video_dataloader', 'cache_size': '32', 'concat_size': '1', 'dataset': {'_target_': '<function get_video_dataset at 0x7feecbf8a3b0>', 'len_t5': '512', 'num_video_frames': '136', 'resolution': '512', 't5_dim': '1024'}, 'num_workers': '8', 'pin_memory': 'True', 'shuffle': 'False', 'use_cache': 'False', 'webdataset': 'False'}, 'ratio': '1'}}}, 'defaults': ['_self_', {'data_train': 'mock'}, {'data_val': 'mock'}, {'optimizer': 'fusedadamw'}, {'scheduler': 'lambdalinear'}, {'model': 'ddp'}, {'callbacks': 'basic'}, {'net': None}, {'conditioner': 'video_prediction_conditioner'}, {'ema': 'power'}, {'tokenizer': 'cosmos_tokenizer_causal_cv8x8x8_c16_res720_t121_it121_v1_0'}, {'checkpoint': 's3'}, {'ckpt_type': 'dummy'}, {'experiment': None}], 'job': {'cluster': None, 'group': 'video2world', 'name': '2b_groot_gr1_480', 'project': 'cosmos_predict_v2p5', 'wandb_mode': 'online'}, 'model': {'_recursive_': 'False', '_target_': "<class 'cosmos_predict2._src.predict2.models.video2world_model_rectified_flow.Video2WorldModelRectifiedFlow'>", 'config': {'conditional_frame_timestep': -1.0, 'conditional_frames_probs': {0: 0.5, 1: 0.25, 2: 0.25}, 'conditioner': {'_target_': "<class 'cosmos_predict2._src.predict2.configs.video2world.defaults.conditioner.Video2WorldConditioner'>", 'fps': {'_target_': "<class 'cosmos_predict2._src.predict2.conditioner.ReMapkey'>", 'dropout_rate': '0.0', 'dtype': None, 'input_key': 'fps', 'output_key': 'fps'}, 'padding_mask': {'_target_': "<class 'cosmos_predict2._src.predict2.conditioner.ReMapkey'>", 'dropout_rate': '0.0', 'dtype': None, 'input_key': 'padding_mask', 'output_key': 'padding_mask'}, 'text': {'_target_': "<class 'cosmos_predict2._src.predict2.conditioner.TextAttr'>", 'credential_path': 'credentials/s3_training.secret', 'dropout_rate': '0.2', 'empty_string_embeddings_path': 's3://bucket/predict2_assets/reason1_empty_string_embeddings.pt', 'input_key': ['t5_text_embeddings'], 'use_empty_string': 'False'}, 'use_video_condition': {'_target_': "<class 'cosmos_predict2._src.predict2.conditioner.BooleanFlag'>", 'dropout_rate': '0.0', 'input_key': 'fps', 'output_key': 'use_video_condition'}}, 'conditioning_strategy': 'frame_replace', 'denoise_replace_gt_frames': True, 'ema': {'enabled': True, 'iteration_shift': 0, 'rate': 0.1}, 'fsdp_shard_size': 8, 'high_sigma_ratio': 0.05, 'high_sigma_timesteps_max': 1000, 'high_sigma_timesteps_min': 980, 'init_lora_weights': True, 'input_caption_key': 'ai_caption', 'input_data_key': 'video', 'input_image_key': 'images', 'lora_alpha': 32, 'lora_rank': 32, 'lora_target_modules': 'q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2', 'max_num_conditional_frames': 2, 'min_num_conditional_frames': 0, 'net': {'_target_': "<class 'cosmos_predict2._src.predict2.networks.minimal_v1_lvg_dit.MinimalV1LVGDiT'>", 'adaln_lora_dim': '256', 'atten_backend': 'minimal_a2a', 'concat_padding_mask': 'True', 'crossattn_emb_channels': '1024', 'crossattn_proj_in_channels': '100352', 'extra_per_block_abs_pos_emb': 'False', 'in_channels': '16', 'max_frames': '128', 'max_img_h': '240', 'max_img_w': '240', 'model_channels': '2048', 'num_blocks': '28', 'num_heads': '16', 'out_channels': '16', 'patch_spatial': '2', 'patch_temporal': '1', 'pos_emb_cls': 'rope3d', 'pos_emb_interpolation': 'crop', 'pos_emb_learnable': 'True', 'rope_enable_fps_modulation': 'False', 'rope_h_extrapolation_ratio': '3.0', 'rope_t_extrapolation_ratio': '1.0', 'rope_w_extrapolation_ratio': '3.0', 'sac_config': {'every_n_blocks': 1, 'mode': 'predict2_2b_720_aggressive'}, 'timestep_scale': '0.001', 'use_adaln_lora': 'True', 'use_crossattn_projection': 'True', 'use_wan_fp32_strategy': 'True'}, 'precision': 'bfloat16', 'resolution': '720', 'shift': 5, 'state_ch': 16, 'state_t': 24, 'text_encoder_class': 'reason1p1_7B', 'text_encoder_config': {'ckpt_path': 's3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/', 'compute_online': True, 'embedding_concat_strategy': 'full_concat', 'model_config': {'_target_': "<class 'cosmos_predict2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>", 'model_config': {'_target_': 'cosmos_predict2._src.reason1.configs.default.model_config_qwen.QwenModelConfig', 'activation_checkpoint': {'mode': 'selective', 'models': 'vlm', 'selective_ac_option': 'op'}, 'add_answer_tag': 'True', 'add_cross_attention': 'False', 'add_image_start_end_tag': 'False', 'add_tile_tag': 'False', 'architectures': ['Qwen2_5_VLForConditionalGeneration'], 'attention_dropout': '0.0', 'attn_implementation': 'flash_attention_2', 'attn_implementation_autoset': 'True', 'aux_loss_coeff': '0.0', 'bad_words_ids': None, 'begin_suppress_tokens': None, 'bos_token_id': '151643', 'cache_dir': None, 'checkpoint': {'async_mode': 'disabled', 'create_seed_checkpoint': False, 'enable_checkpoint': False, 'export_dtype': 'float32', 'folder': 'checkpoint', 'interval': 500, 'interval_type': 'steps', 'model_weights_only': False}, 'chunk_size_feed_forward': '0', 'ckpt_dir': None, 'ckpt_path': None, 'comm': {'init_timeout_seconds': 300, 'trace_buf_size': 20000, 'train_timeout_seconds': 100}, 'cp_size': None, 'cross_attention_hidden_size': None, 'decoder_start_token_id': None, 'deterministic': 'False', 'diversity_penalty': '0.0', 'do_sample': 'False', 'early_stopping': 'False', 'encoder_no_repeat_ngram_size': '0', 'eos_token_id': '151645', 'ep_size': None, 'experimental': {'enable_async_tensor_parallel': False, 'enable_compiled_autograd': False, 'pipeline_parallel_degree': 1}, 'exponential_decay_length_penalty': None, 'finetuning_task': None, 'float8': {'enable_float8_linear': False}, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'freeze_llm': 'False', 'freeze_mm_projector': 'False', 'freeze_vision_encoder': 'False', 'fsdp_enabled': 'False', 'hidden_act': 'silu', 'hidden_size': '3584', 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'image_token_id': '151655', 'initializer_range': '0.02', 'intermediate_size': '18944', 'is_decoder': 'False', 'is_encoder_decoder': 'False', 'label2id': {'LABEL_0': '0', 'LABEL_1': '1'}, 'length_penalty': '1.0', 'loss_per_token': 'True', 'max_batch_size': '1', 'max_length': '20', 'max_position_embeddings': '128000', 'max_seq_len': '128000', 'max_window_layers': '28', 'min_length': '0', 'mm_projector': None, 'model_type': 'qwen2_5_vl', 'name_or_path': 'Qwen/Qwen2.5-VL-7B-Instruct', 'no_repeat_ngram_size': '0', 'num_attention_heads': '28', 'num_beam_groups': '1', 'num_beams': '1', 'num_hidden_layers': '28', 'num_key_value_heads': '4', 'num_return_sequences': '1', 'num_tiles': '1', 'optimizer': {'early_step_in_backward': False, 'end_lr': 2.5e-05, 'fused': False, 'init_lr': 1e-05, 'lr': 0.0003, 'lr_multiplier_llm': 1.0, 'lr_multiplier_mm_projector': 1.0, 'lr_multiplier_vision_encoder': 0.1, 'name': 'AdamW'}, 'output_attentions': 'False', 'output_hidden_states': 'True', 'output_scores': 'False', 'pad_token_id': None, 'precision': 'bfloat16', 'prefix': None, 'prepend_padding': 'False', 'problem_type': None, 'pruned_heads': '_Nothing.NOTHING', 'remove_invalid_values': 'False', 'repetition_penalty': '1.0', 'return_dict': 'True', 'return_dict_in_generate': 'False', 'rms_norm_eps': '1e-06', 'rope_scaling': {'mrope_section': ['16', '24', '24'], 'rope_type': 'default', 'type': 'default'}, 'rope_theta': '1000000.0', 's3_credential_path': 'credentials/pbss_dir.secret', 'seed': '0', 'sep_token_id': None, 'sliding_window': '32768', 'suppress_tokens': None, 'task_specific_params': None, 'temperature': '1.0', 'tf_legacy_loss': 'False', 'tie_encoder_decoder': 'False', 'tie_word_embeddings': 'False', 'tile_tag_type': 'space_separated', 'tokenizer_class': None, 'tokenizer_type': 'Qwen/Qwen2.5-VL-7B-Instruct', 'top_k': '50', 'top_p': '1.0', 'torch_dtype': 'bfloat16', 'torchscript': 'False', 'training': {'compile': False, 'context_parallel_degree': 1, 'data_parallel_replicate_degree': 1, 'data_parallel_shard_degree': -1, 'disable_loss_parallel': False, 'enable_cpu_offload': False, 'fsdp_reshard_after_forward': 'default', 'mixed_precision_param': 'bfloat16', 'mixed_precision_reduce': 'float32', 'steps': 400000, 'tensor_parallel_degree': 1, 'use_cosine_decay': False, 'use_linear_decay': True, 'warmup_steps': 1000}, 'training_seq_len': '4096', 'transformers_version': '4.51.0.dev0', 'typical_p': '1.0', 'use_bfloat16': 'False', 'use_cache': 'False', 'use_fsdp2': 'True', 'use_return_dict': 'True', 'use_rope_from_torchtitan': 'False', 'use_sliding_window': 'False', 'video_token_id': '151656', 'vision_config': {'_target_': 'cosmos_predict2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig', 'add_cross_attention': 'False', 'architectures': None, 'attn_implementation': 'flash_attention_2', 'attn_implementation_autoset': 'True', 'bad_words_ids': None, 'begin_suppress_tokens': None, 'bos_token_id': None, 'chunk_size_feed_forward': '0', 'cross_attention_hidden_size': None, 'decoder_start_token_id': None, 'depth': '32', 'diversity_penalty': '0.0', 'do_sample': 'False', 'early_stopping': 'False', 'embed_dim': None, 'encoder_no_repeat_ngram_size': '0', 'eos_token_id': None, 'exponential_decay_length_penalty': None, 'finetuning_task': None, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'fullatt_block_indexes': ['7', '15', '23', '31'], 'hidden_act': 'silu', 'hidden_size': '1280', 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'in_channels': '3', 'in_chans': '3', 'intermediate_size': '3420', 'is_decoder': 'False', 'is_encoder_decoder': 'False', 'label2id': {'LABEL_0': '0', 'LABEL_1': '1'}, 'length_penalty': '1.0', 'max_length': '20', 'min_length': '0', 'mlp_ratio': None, 'model_type': 'qwen2_5_vl', 'name_or_path': '', 'no_repeat_ngram_size': '0', 'num_beam_groups': '1', 'num_beams': '1', 'num_heads': '16', 'num_return_sequences': '1', 'out_hidden_size': '3584', 'output_attentions': 'False', 'output_hidden_states': 'False', 'output_scores': 'False', 'pad_token_id': None, 'patch_size': '14', 'prefix': None, 'problem_type': None, 'pruned_heads': '_Nothing.NOTHING', 'remove_invalid_values': 'False', 'repetition_penalty': '1.0', 'return_dict': 'True', 'return_dict_in_generate': 'False', 'sep_token_id': None, 'spatial_merge_size': '2', 'spatial_patch_size': '14', 'suppress_tokens': None, 'task_specific_params': None, 'temperature': '1.0', 'temporal_patch_size': '2', 'tf_legacy_loss': 'False', 'tie_encoder_decoder': 'False', 'tie_word_embeddings': 'True', 'tokenizer_class': None, 'tokens_per_second': '2', 'top_k': '50', 'top_p': '1.0', 'torch_dtype': 'bfloat16', 'torchscript': 'False', 'typical_p': '1.0', 'use_bfloat16': 'False', 'window_size': '112'}, 'vision_encoder': 'openai/clip-vit-base-patch32', 'vision_encoder_config': {'depth_init': True, 'dim': 1024, 'ffn_dim_multiplier': None, 'head_dim': None, 'hidden_act': None, 'hidden_dim': 4096, 'image_size': 1024, 'image_token_id': None, 'multiple_of': None, 'n_heads': 16, 'n_kv_heads': None, 'n_layers': 24, 'norm_eps': 1e-05, 'norm_type': 'rmsnorm', 'num_channels': 3, 'patch_size': 16, 'proj_bias': None, 'qkv_bias': None, 'rope_theta': 10000.0, 'use_cache': False, 'use_rope_from_torchtitan': False}, 'vision_encoder_in_channels': '3', 'vision_end_token_id': '151653', 'vision_start_token_id': '151652', 'vision_token_id': '151654', 'vocab_size': '152064', 'z_loss_coeff': '0.0'}, 'tokenizer': {'_target_': '<function build_tokenizer at 0x7feec9f5ba30>', 'cache_dir': None, 'tokenizer_type': 'Qwen/Qwen2.5-VL-7B-Instruct'}}, 'n_layers_per_group': 5, 's3_credential_path': 'credentials/s3_checkpoint.secret'}, 'tokenizer': {'_target_': "<class 'cosmos_predict2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>", 'chunk_duration': '81', 'load_mean_std': 'False', 'name': 'wan2pt1_tokenizer', 'temporal_window': '16'}, 'train_time_distribution': 'logitnormal', 'train_time_weight': 'reweighting', 'use_dora': False, 'use_dynamic_shift': False, 'use_high_sigma_strategy': False, 'use_kerras_sigma_at_inference': False, 'use_lora': False, 'use_torch_compile': False}}, 'model_parallel': {'_cpu_offloading_context': None, 'async_tensor_model_parallel_allreduce': False, 'autocast_dtype': 'torch.float32', 'barrier_with_L1_time': True, 'batch_p2p_comm': True, 'batch_p2p_sync': True, 'bf16': False, 'context_parallel_size': 1, 'cpu_offloading': False, 'cpu_offloading_activations': True, 'cpu_offloading_double_buffering': False, 'cpu_offloading_num_layers': 0, 'cpu_offloading_weights': True, 'cross_entropy_fusion_impl': 'native', 'cross_entropy_loss_fusion': False, 'deallocate_pipeline_outputs': False, 'defer_embedding_wgrad_compute': False, 'delay_wgrad_compute': False, 'deterministic_mode': False, 'enable_autocast': False, 'expert_model_parallel_size': 1, 'expert_tensor_parallel_size': 1, 'finalize_model_grads_func': None, 'fp16': False, 'grad_scale_func': None, 'grad_sync_func': None, 'gradient_accumulation_fusion': False, 'hierarchical_context_parallel_sizes': None, 'microbatch_group_size_per_vp_stage': 1, 'moe_extended_tp': False, 'no_sync_func': None, 'num_microbatches_with_partial_activation_checkpoints': None, 'overlap_moe_expert_parallel_comm': False, 'overlap_p2p_comm': False, 'overlap_p2p_comm_warmup_flush': False, 'param_sync_func': None, 'params_dtype': 'torch.float32', 'perform_initialization': True, 'pipeline_dtype': None, 'pipeline_model_parallel_comm_backend': None, 'pipeline_model_parallel_size': 1, 'sequence_parallel': False, 'tensor_model_parallel_size': 1, 'timers': None, 'tp_comm_atomic_ag': False, 'tp_comm_atomic_rs': False, 'tp_comm_bootstrap_backend': 'nccl', 'tp_comm_bulk_dgrad': True, 'tp_comm_bulk_wgrad': True, 'tp_comm_overlap': False, 'tp_comm_overlap_ag': True, 'tp_comm_overlap_disable_fc1': False, 'tp_comm_overlap_disable_qkv': False, 'tp_comm_overlap_rs': True, 'tp_comm_overlap_rs_dgrad': False, 'tp_comm_split_ag': True, 'tp_comm_split_rs': True, 'use_cpu_initialization': False, 'use_ring_exchange_p2p': False, 'use_te_rng_tracker': False, 'variable_seq_lengths': False, 'virtual_pipeline_model_parallel_size': None, 'wgrad_deferral_limit': 0}, 'optimizer': {'_target_': '<function get_base_optimizer at 0x7feec80324d0>', 'betas': ['0.9', '0.999'], 'eps': '1e-08', 'fused': 'True', 'lr': '4.315837287515549e-05', 'model': None, 'optim_type': 'adamw', 'weight_decay': '0.001'}, 'scheduler': {'_target_': "<class 'cosmos_predict2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>", 'cycle_lengths': ['100000'], 'f_max': ['0.5'], 'f_min': ['0.2'], 'f_start': ['1e-06'], 'verbosity_interval': '0', 'warm_up_steps': ['1000']}, 'trainer': {'callbacks': {'compile_tokenizer': {'_target_': "<class 'cosmos_predict2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>", 'compile_after_iterations': '4', 'dynamic': 'False', 'enabled': 'True'}, 'dataloader_speed': {'_target_': "<class 'cosmos_predict2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>", 'every_n': '100', 'save_s3': 'False', 'step_size': '1'}, 'device_monitor': {'_target_': "<class 'cosmos_predict2._src.predict2.callbacks.device_monitor.DeviceMonitor'>", 'every_n': '100', 'log_memory_detail': 'True', 'save_s3': 'False', 'step_size': '1', 'upload_every_n_mul': '10'}, 'every_n_sample_ema': {'_target_': "<class 'cosmos_predict2._src.predict2.callbacks.every_n_draw_sample.EveryNDrawSample'>", 'do_x0_prediction': 'False', 'every_n': '1000', 'fps': '16', 'guidance': ['0.0', '3.0', '7.0'], 'is_ema': 'True', 'n_sample_to_save': '128', 'n_sigmas_for_x0_prediction': '4', 'n_viz_sample': '3', 'num_sampling_step': '35', 'prompt_type': 't5_xxl', 'run_at_start': 'False', 'save_s3': 'False', 'step_size': '1', 'use_negative_prompt': 'False'}, 'every_n_sample_reg': {'_target_': "<class 'cosmos_predict2._src.predict2.callbacks.every_n_draw_sample.EveryNDrawSample'>", 'do_x0_prediction': 'False', 'every_n': '1000', 'fps': '16', 'guidance': ['0.0', '3.0', '7.0'], 'is_ema': 'False', 'n_sample_to_save': '128', 'n_sigmas_for_x0_prediction': '4', 'n_viz_sample': '3', 'num_sampling_step': '35', 'prompt_type': 't5_xxl', 'run_at_start': 'False', 'save_s3': 'False', 'step_size': '1', 'use_negative_prompt': 'False'}, 'grad_clip': {'_target_': "<class 'cosmos_predict2._src.predict2.callbacks.grad_clip.GradClip'>", 'clip_norm': '0.1', 'force_finite': 'True'}, 'heart_beat': {'_target_': "<class 'cosmos_predict2._src.predict2.callbacks.heart_beat.HeartBeat'>", 'every_n': '10', 'save_s3': 'False', 'step_size': '1', 'update_interval_in_minute': '20'}, 'iter_speed': {'_target_': "<class 'cosmos_predict2._src.predict2.callbacks.iter_speed.IterSpeed'>", 'every_n': '100', 'hit_thres': '100', 'save_s3': 'False', 'save_s3_every_log_n': '10'}, 'low_prec': {'_target_': "<class 'cosmos_predict2._src.imaginaire.utils.callback.LowPrecisionCallback'>", 'config': None, 'trainer': None, 'update_iter': '1'}, 'manual_gc': {'_target_': "<class 'cosmos_predict2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>", 'every_n': '200', 'warm_up': '5'}, 'wandb': {'_target_': "<class 'cosmos_predict2._src.predict2.callbacks.wandb_log.WandbCallback'>", 'logging_iter_multipler': '1', 'save_logging_iter_multipler': '10', 'save_s3': 'False'}, 'wandb_10x': {'_target_': "<class 'cosmos_predict2._src.predict2.callbacks.wandb_log.WandbCallback'>", 'logging_iter_multipler': '10', 'save_logging_iter_multipler': '1', 'save_s3': 'False'}}, 'compile_config': {'recompile_limit': '8', 'use_duck_shape': 'True'}, 'cudnn': {'benchmark': 'True', 'deterministic': 'False'}, 'ddp': {'broadcast_buffers': 'True', 'find_unused_parameters': 'False', 'static_graph': 'True'}, 'distributed_parallelism': 'fsdp', 'grad_accum_iter': '1', 'grad_scaler_args': {'enabled': 'False'}, 'logging_iter': '100', 'max_iter': '20000', 'max_val_iter': None, 'memory_format': 'torch.preserve_format', 'profiling': {'enable_memory_snapshot': 'False', 'enable_profiling': 'False', 'profile_freq': '1', 'profile_memory': 'False', 'record_shape': 'False', 'save_s3': 'False', 'target_ranks': ['0', '1', '2', '3', '4', '5', '6', '7'], 'with_modules': 'True', 'with_stack': 'True'}, 'run_validation': 'False', 'run_validation_on_start': 'False', 'seed': '0', 'straggler_detection': {'analyze_backward': 'True', 'analyze_dataloading': 'True', 'analyze_forward': 'True', 'analyze_optimizer': 'True', 'enabled': 'False', 'max_diff': '1.5', 'profile_freq': '1', 'raise_error': 'True', 'report_freq': '100'}, 'timeout_period': '999999999', 'type': "<class 'cosmos_predict2._src.imaginaire.trainer.ImaginaireTrainer'>", 'validation_iter': '100'}, 'upload_reproducible_setup': 'True', '_wandb': {}}
|
| 6 |
+
2026-04-05 11:02:04,318 INFO MainThread:814053 [wandb_run.py:_config_callback():1392] config_cb None None {'JOB_INFO/PWD': '/vast/users/tianyu.wang/anv_workspace/ViewPlan/cosmos-predict2.5-main', 'JOB_INFO/SLURM_JOB_USER': 'tianyu.wang', 'JOB_INFO/SLURM_JOB_PARTITION': 'faculty', 'JOB_INFO/SLURM_JOBID': '39934', 'JOB_INFO/SLURM_NNODES': '1', 'JOB_INFO/SLURM_JOB_NAME': 'bash', 'JOB_INFO/SLURM_JOB_NODELIST': 'auh7-1b-gpu-200', 'JOB_INFO/SLURMD_NODENAME': 'auh7-1b-gpu-200', 'JOB_INFO/job_local_path': '/vast/users/tianyu.wang/anv_workspace/ViewPlan/cosmos-predict2.5-main/cosmos_predict_v2p5/video2world/2b_groot_gr1_480', 'JOB_INFO/s3': 's3://bucket/cosmos_predict_v2p5/video2world/2b_groot_gr1_480/'}
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/wandb/run-20260403_045515-89aris5o/files/media/images/EveryNDrawSample/ema_video_sample_1000_3271a2c085b72f035c87.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/wandb/run-20260403_045515-89aris5o/files/media/images/EveryNDrawSample/ema_video_sample_2000_dbb7411018820d3a17a0.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/wandb/run-20260403_045515-89aris5o/files/media/images/EveryNDrawSample/ema_video_sample_3000_b68ec36a3837bfea3c77.jpg
ADDED
|
Git LFS Details
|
cosmos_predict_2.5/cosmos_predict_v2p5_robocasa365/video2world/2b_groot_gr1_480/wandb/run-20260403_045515-89aris5o/files/media/images/EveryNDrawSample/ema_video_sample_4000_0834065a925e6693b22c.jpg
ADDED
|
Git LFS Details
|