add final config-order t-SNE scaling output scaleup7_tasks7_stage2.log

visualizations/h100/tsne_scaling_20260728_final/logs/scaleup7_tasks7_stage2.log

@@ -0,0 +1,84 @@
+dataset samples 71191 selected 1750 tasks ['insert_HDMI', 'insert_hole', 'lift_bottle', 'pull_out_key', 'insert_tube', 'lift_can', 'put_bottle_in_shelf']
+
+[transformers] ViTModel LOAD REPORT from: /dev/shm/muse/src/ViTacDreamer_policy/.hf_cache/google_vit_base_patch16_224
+Key                 | Status     | 
+--------------------+------------+-
+classifier.bias     | UNEXPECTED | 
+classifier.weight   | UNEXPECTED | 
+pooler.dense.bias   | MISSING    | 
+pooler.dense.weight | MISSING    | 
+
+Notes:
+- UNEXPECTED:	can be ignored when loading from different task/architecture; not ok if you expect identical arch.
+- MISSING:	those params were newly initialized because missing from the checkpoint. Consider training on your downstream task.
+
+[transformers] ViTModel LOAD REPORT from: /dev/shm/muse/src/ViTacDreamer_policy/.hf_cache/google_vit_base_patch16_224
+Key                 | Status     | 
+--------------------+------------+-
+classifier.bias     | UNEXPECTED | 
+classifier.weight   | UNEXPECTED | 
+pooler.dense.bias   | MISSING    | 
+pooler.dense.weight | MISSING    | 
+
+Notes:
+- UNEXPECTED:	can be ignored when loading from different task/architecture; not ok if you expect identical arch.
+- MISSING:	those params were newly initialized because missing from the checkpoint. Consider training on your downstream task.
+/dev/shm/muse/src/ViTacDreamer_policy/scripts/analysis/generate_scaleup_tsne.py:82: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  ckpt=torch.load(ckpt_path, map_location=device)
+load /dev/shm/muse/checkpoints/scaleup7_h32_20260726/stage2_prior512_encoder500_scaleup7_hlen5_stride5_e25_b192_from_stage1e30/stage2_v2_best.pth missing 0 unexpected 0
+batch 1 features 32
+batch 2 features 64
+batch 3 features 96
+batch 4 features 128
+batch 5 features 160
+batch 6 features 192
+batch 7 features 224
+batch 8 features 256
+batch 9 features 288
+batch 10 features 320
+batch 11 features 352
+batch 12 features 384
+batch 13 features 416
+batch 14 features 448
+batch 15 features 480
+batch 16 features 512
+batch 17 features 544
+batch 18 features 576
+batch 19 features 608
+batch 20 features 640
+batch 21 features 672
+batch 22 features 704
+batch 23 features 736
+batch 24 features 768
+batch 25 features 800
+batch 26 features 832
+batch 27 features 864
+batch 28 features 896
+batch 29 features 928
+batch 30 features 960
+batch 31 features 992
+batch 32 features 1024
+batch 33 features 1056
+batch 34 features 1088
+batch 35 features 1120
+batch 36 features 1152
+batch 37 features 1184
+batch 38 features 1216
+batch 39 features 1248
+batch 40 features 1280
+batch 41 features 1312
+batch 42 features 1344
+batch 43 features 1376
+batch 44 features 1408
+batch 45 features 1440
+batch 46 features 1472
+batch 47 features 1504
+batch 48 features 1536
+batch 49 features 1568
+batch 50 features 1600
+batch 51 features 1632
+batch 52 features 1664
+batch 53 features 1696
+batch 54 features 1728
+batch 55 features 1750
+SAVED outputs/tsne_scaling_20260728_final/scaleup7_tasks7_stage2_tsne.png