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924 / GPU_LEFTOVER.md
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BrainSets 924: ICLR venue, CPU run on M3, GPU leftover doc, existing BrainBits numbers
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GPU leftovers (do not run on the M3 8 GB Mac)

The MacBook Pro (2024, Apple M3, 8 GB) is for NumPy set algorithms only. Everything below needs CUDA (or at least the private JSON dump that the Mac cannot pull because of Hugging Face private-storage quota).

Use a Hugging Face access token with read on jamie33 and write on jamie33/924. Do not paste the token into this file.

G0 — dump real posteriors (blocker for mode=real)

Why GPU/server: the files are already on the private dataset / server cache. The laptop gets 403 Forbidden: Private repository storage limit reached for jamie33 on p0_anchor_validation_safe/sub01.json.

Source (ours, not the public web):

  • Dataset: jamie33/jmtseng-work-backup (private)
  • Files: brain3d_refs/results/p0_anchor_validation_safe/sub{01..12}.json (~400 KB each)
  • Also: .../p0_anchor_validation_safe/ensemble12.json

If that tree is missing, re-infer with the validation-safe encoder (G1).

Output to upload here: results/cpu/posteriors.npz with q (12,144,72) and y (144,). Then rerun:

python3 brainsets/cpu_run.py --mode real --npz results/cpu/posteriors.npz --out results/cpu/real_brainsets.json

G1 — encoder re-inference (only if G0 JSON is gone)

Download from the web / original release, not from us:

  • Neuro-3D / EEG-3D stimuli and EEG arrays: follow jamie33/July → AAAI_SUPPLEMENT/BrainBits3D_code_and_data.zip → configs/DATA_LAYOUT.md
  • Typical local layout on the training box: EEG npy under the Neuro-3D data root; checkpoints under the private backup brain3d_refs/

From us (token read):

  • jamie33/jmtseng-work-backup encoder checkpoints (encoder_validation_safe tree)
  • Public overflow: jamie33/jmtseng-work-backup-public/brain3d_refs/results/collective_set/*/model.pt

This is GPU. Batch size 8, 12 subjects, 144 objects. Do not start this on the 8 GB Mac.

G2 — 72×72 train-only Chamfer (BrainSets + geometry)

From us (public):

  • jamie33/jmtseng-work-backup-public → brain3d_refs/results/p0_category_geometry/category_00.pt … category_71.pt

Export a D72.npy (72,72) on a machine with torch, upload to jamie33/924/results/cpu/D72.npy. Then CPU Chamfer-on-sets can run on the Mac.

G3 — leftover 9.24 BrainBits GPU jobs (not BrainSets, still missing in tables)

Tracked in PencilHu/JAMIETSENG 9.24torun and jamie33/923:

ID What Data
T1 Wrong-category F@0.1 / EMD generated meshes + category means; ours under private backup results/
T2 fMRI-Shape instance Chamfer fMRI-Shape release from the web + our encoder
T3 True Gaussian-splatting family (not Gaussian-noise proxy) generator ckpt ours private backup
T8 Wrong-category qualitative figures same as T1

T4–T7 (encoder 12-sub, NLL/Brier, conformal multiseed, best-of-5) are CPU-or-light once G0 posteriors exist; run them with cpu_run.py / ToDo2 scripts, not on a fat GPU.

G4 — if a file is not on our HF

Say so in the job log: download from the original dataset page (Neuro-3D / fMRI-Shape). Do not invent a jamie33 path. The token only reads what we already uploaded.